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DSC EUROPE 24 SPEAKERS

KEYNOTES

Azfar Shah

In his role as Chief Strategy and Data Officer, Azfar is responsible for Yettel Serbia’s AI agenda. His focus is to develop solutions that empower individuals and businesses, setting a new standard for impactful and purpose-driven technology. Azfar is passionate about using technology and AI to simplify lives, enhance productivity, and drive meaningful impact across communities. Azfar has been in the telco industry since 2006 in various roles but always working diligently to create practical, people-centered solutions that address real-world challenges and the needs of customers.
Journey to AI driven company

Azfar Shah

Miroslav Grbovic

Miroslav Grbovic

Brian Wagner

Brian is a seasoned expert in cloud technology and security, with over 20 years of experience in the industry, particularly in the global financial services sector. He has held senior leadership roles, including Head of Security and Compliance at AWS Financial Services EMEA, Director of Cloud and Security at a Silicon Valley analytics company, and CTO of a UK-based cyber security services provider. As CTO at Revenir, Brian leverages his expertise to build innovative products that meet the unique demands of the financial services industry, combining security, scalability, and reliability.

Brian Wagner

Karen de Sousa Pesse

Karen De Sousa Pesse, a fervent advocate for diversity and inclusion, globally recognized for her leadership in STEM. Encouraging women to surpass norms, she is a sought-after international speaker, addressing various topics such as diversity, inclusion, data, and artificial intelligence. A graduate in nanotechnological engineering and holding a master’s in sustainable materials engineering from Ghent University, Karen has received nearly 20 awards for her outstanding contributions.

Karen de Sousa Pesse

Tom Van de Wiele

Tom Van de Wiele is a cyber security authority, speaker, ethical hacker, advisor and consultant. With over 23+ years of authentic, international consultancy experience in cyber security, his career has taken him from hacking power plants and ATMs, uncovering international industrial espionage rings, remotely taking over ships and mainframes, and training companies, law enforcement and journalists on how hacker techniques work – and how to defend against them. As founder of Hacker Minded and drawing from his background as an ethical hacker for hire, Tom is on a mission to help create and develop cyber security culture within organisations that goes beyond compliance and technical solutionism, but through a better understanding of cyber security by givin talks, training and advisory work.
AI As The New Hacker Frontier

Tom Van de Wiele

Brinnae Bent

Brinnae Bent, PhD, is a faculty member in Artificial Intelligence at Duke University, a Responsible AI research scientist, and a startup advisor. She is a leader in bridging the gap between research and industry in machine learning, having led projects and developed algorithms for the largest companies in the world. More importantly, she has built algorithms that have meaningful impacts – from helping people walk to noninvasively monitoring glucose.  Brinnae is an accomplished researcher and ML practitioner, with over 30 publications and a breadth of experience developing algorithms across domains including health/wellness, sports, privacy, interior design, and energy. Her research on digital biomarkers is world-renowned and her emerging work on Responsible AI strives to solve important problems in the application of AI to real-world problems.
Developing Responsible Digital Biomarkers

Brinnae Bent

Amadeusz Andrzejewski

Amadeusz Andrzejewski is a Partner at Deloitte Poland, specializing in Data & AI transformations. With over 12 years of experience, he has led numerous large-scale projects across industries such as retail, telecommunications, and banking. Before Deloitte, he co-founded QuantumBlack, AI by McKinsey Hub in Central Europe, driving AI-driven solutions for clients. Amadeusz has extensive experience in designing and implementing customer value management programs, with a focus on AI-driven segmentation, pricing optimization, and personalized product and offer strategies. He has successfully executed numerous transformations that have included recruiting tech talent, developing data science models, conducting business pilots, and scaling solutions to achieve full business impact.
Proficient in Python, R, Tableau, and Power BI, he leads data model development for both cloud and on-premise systems. He holds a Master’s in Finance from the Warsaw School of Economics and a Bachelor’s in Capital Markets from the University of Economics, Poznan.

Amadeusz Andrzejewski

Ido Engel

Ido Engel

Jan Hejtmanek

Jan is the Deloitte CE Intelligent Automation Lead and a member of the Deloitte Global Intelligent Automation Steering Committee. He is at the forefront of building innovative business-technology solutions and introducing them to major global organizations. With over 18 years of experience in business efficiency and technology adoption, Jan works closely with clients to re-imagine their processes for digital-first and end-to-end transformations. Jan also spearheads the Generative AI Market Activation in Deloitte CE, aiming to excite people about generative AI and identify the best applications for this groundbreaking technology. He is a public speaker and advocate for the ethical and reasonable use of AI. Jan has led several significant transformative projects with clients, demonstrating the profound impact AI can have on business operations.

Jan Hejtmanek

Dragan Tomic

Dragan Tomic

Amie Bright

Amie is an accomplished leader in data and analytics with more than 20 years of experience. She excels in aligning data strategies with organizational visions and harnessing state-of-the-art cloud technologies throughout the data lifecycle—from ingestion to advanced analytics and BI. Currently, she is Vice President of Enterprise Data & Insights at GitLab, where her team is dedicated to converting data into tangible value for the organization. Under Amie’s guidance, her team specializes in data engineering, analytics engineering, data science, advanced analytics, data governance, and data quality.
Data-Driven Success: Securing Executive Buy-In for a Game-Changing Data Strategy

Amie Bright

Jose Portilla

Jose Portilla

Tobias Zwingmann

Tobias Zwingmann

Rana Gujral

Rana Gujral is an entrepreneur and CEO at Behavioral Signals, a Cognitive AI company building essential building blocks of AGI with its acoustics-based deep learning technology. As a thought leader in AI, Rana often leads keynote sessions at industry events such as the Leap, DeepFest, World Government Summit, VOICE Summit, TNW, Collision, and The Web Summit. His bylines are featured in publications such as FastCompany, Inc., and Entrepreneur, and he is a contributing columnist at TechCrunch and Forbes. Rana has been recognized as among ‘Top 40 Voice AI Influencers to Follow’ by SoundHound, ‘Entrepreneur of the Month’ by CIO Magazine, ‘Top 10 Entrepreneurs to Follow’ by Huffington Post, and an ‘AI Entrepreneur to Watch’ by Inc Magazine. In 2022, the CEO Monthly listed him among the “Most Influential CEOs”.
Rana holds management, finance, and engineering degrees from the Massachusetts Institute of Technology, Sloan, the University of Massachusetts, and MJP Rohilkhand University. Rana founded TiZE, a vertical cloud software that used ML models to predict commodity prices, and held the CEO role until its acquisition in 2016. Before TiZE, Rana led the turnaround of Cricut Inc. from bankruptcy to profitability and its eventual IPO. Previously, Rana held leadership positions at Logitech and Kronos Inc., where he was responsible for developing best-in-class products.
Fighting AI with AI

Rana Gujral

DATA & AI TALKS

Miodrag Pesovic

Miodrag has over 20 years of experience in IT banking in several different roles. He now leads a team specializing in data governance and data processing. The main focus of the team is on supporting businesses with a strong emphasis on the use of AI and creating a new model of data management connected to Data Mesh paradigm, maximizing value of Data in a fragmented and regulatory environment to boost meaningful insights towards Business and Customers.

Miodrag Pesovic

Vera Krajniker

Vera is a Product Marketer at Mily Technologies, where she leads positioning, messaging, and overall marketing efforts to ensure Mily Tech’s solutions resonate with the market and make a lasting impact.
Product Marketing in early-stage SaaS startups

Vera Krajniker

Tomislav Strgar

Tomislav Strgar, TIS Group, Head of TIS.AI Department, Project Manager, with 17 years of experience in ICT across various roles. He started as Java developer, continue as technical consultant and IBM DMS & BPM certified specialist working on PoC workshops, systems analysis, architecture and Java development issues resolving, business processes/workflows modeling. Last several years has focus on business development and project management but without leaving IT and technology overall. Since 2019 is researching AI field, preparing and managing AI team and AI projects, such as TIS’s AI product in healthcare, SENDD, System for Early Neurological Deviation Detection and Vineyard Angel, AI solution in agriculture/viticulture, and other LLM GenAI projects in different enterprises.

Tomislav Strgar

Miodrag Vladic

Fifty shades of Data & Analytics Strategy and 5 of Its Most Underrated Components

Miodrag Vladic

Miodrag Pesovic

Miodrag has over 20 years of experience in IT banking in several different roles. He now leads a team specializing in data governance and data processing. The main focus of the team is on supporting businesses with a strong emphasis on the use of AI and creating a new model of data management connected to Data Mesh paradigm, maximizing value of Data in a fragmented and regulatory environment to boost meaningful insights towards Business and Customers.
Scalable and Sustainable AI Infrastructure (On The Seabed)

Miodrag Pesovic

Martina Naumovska Necheska

Building Sustainable, Efficient, and Highly Intelligent AI Factories in Europe

Martina Naumovska Necheska

Jovan Paunovic

Jovan Paunovic is an experienced entrepreneur and executive, founder, and CEO of TREESURY, an agri-food ecosystem hub connecting farmers with investors through regulated tokenized securities and blockchain markets, addressing food security and climate challenges. He is a consultant with GLG (New York) and AlphaSights (London), with expertise in medical technology and digital transformation. Formerly CEO at GE Holdings and GE Healthcare for the Western Balkans, Jovan also founded VisMedic, Eastern Europe’s first telemedicine platform, and JP ICG, a boutique consulting firm. He mentors and invests across three continents, holding degrees from Bocconi University and Stanford University.
Startup Funding Demystified: A Playbook from a Serial Entrepreneur –

Jovan Paunovic

Igor Zivkovski

Legal Aspects of Investments in Startups

Igor Zivkovski

Veljko Tanjga

Tech Lead at Rivian focused on cloud infrastructure and platform engineering. With 18 years in the tech industry, had a chance to witness and be a part of the evolution from on-prem rigid infrastructure to the current ever-changing cloud. Experienced in designing and maintaining highly scalable and available systems and implementing DevOps principles and methodologies.
Data Platform Infrastructure at Rivian: A Deep Dive

Veljko Tanjga

Tobias Zwingmann

Tobias Zwingmann

Thomas Kitzler

Building the Future – Unpacking the Essential Components of High-Performance and Sustainable AI Clusters

Thomas Kitzler

Milan Stankic

Software engineer with experience in embedded software/system development, mainly on software tools development. Currently, his area of focus is ML compiler.
Optimizations of AI inference: The role of ML compiler and Hardware innovations

Milan Stankic

Milan Bjeloglav

Designing and creating market research, retail and Big Data analytics software solutions since 1999. Awarded by SAP continuously for over a decade while leading strategic SAP implementations in Europe and North America. Architect of CBS BrandPulse, CBS Retail and SAP FS solutions. Driven by addressing business needs with best fit solutions in analytical and data processing domains.
AI-Powered Insights Mining: CBS BrandPulse Solves AI Hallucinations

Milan Bjeloglav

Marija Vlajkovic

Marija Vlajkovic

DSC:X is dedicated to the decision makers. Talks and panels will be centered on how to build Data & AI teams, Data-Driven culture in organizations, how to develop Data & AI products, Data in Cloud.

Ana Stojkovic Knezevic

Ana Stojkovic Knezevic is a professional in project management, business development, and technology. As a PhD candidate in Communicology, she explores augmented reality and cross-cultural communication. She holds a Master’s in Mechatronics Robotics and Automation and a background in electrical engineering. Ana excels in AI, IT, animation, and film, managing projects integrating AI with creative fields. Fluent in English, conversant in Spanish, and with beginner French and Portuguese, she uses Agile, Waterfall, Scrum, and Kanban methodologies.
How to effectively manage AI/ML projects

Ana Stojkovic Knezevic

Nikola Vurdelja

Nikola Vurdelja is a System Integration Team Leader at Orion telekom, living, strategizing, and engineering solutions in Belgrade. A dedicated cloud architect with expertise in NetApp and VMware, he specializes in multi-cloud environments and AI infrastructure integration, bringing over a decade of experience in designing scalable, high-performance systems. Nikola consistently contributes to advancing industry standards, particularly in complex integration projects. Alongside his technical expertise, he’s a passionate Formula 1 enthusiast and former football scout, where he applies his analytical skills to spot emerging talents.
AI technology driving the Aston Martin F1 team and your digital transformation

Nikola Vurdelja

Dennisvan Rooijen

With a solid foundation in Information Engineering and Consultancy, Dennis excels in driving data-driven decisions and optimizing business strategies. With over 15 years of experience, he stands out for his ability to align technical solutions with specific business challenges. He is deeply passionate about building and expanding Data Enterprises, focusing on processes, people, and platforms. Dennis’s central role in GitLab’s Data Team involves spearheading the creation of a scalable and reliable Data Platform for Data Analytics, showcasing his commitment to delivering value from data with speed, pragmatism, and sustainability.
Our journey to harden the security and compliance of the Data Platform

Dennisvan Rooijen

Azfar Shah

In his role as Chief Strategy and Data Officer, Azfar is responsible for Yettel Serbia’s AI agenda. His focus is to develop solutions that empower individuals and businesses, setting a new standard for impactful and purpose-driven technology. Azfar is passionate about using technology and AI to simplify lives, enhance productivity, and drive meaningful impact across communities. Azfar has been in the telco industry since 2006 in various roles but always working diligently to create practical, people-centered solutions that address real-world challenges and the needs of customers.
Journey to AI driven company

Azfar Shah

Tiago Peixoto

Data-Driven Transformation: Powering Growth and Efficiency Across Industries

Tiago Peixoto

Vanja Melnik

Vanja Melnik

Filip Petrovski

AI on the Assembly Line: Real-Time Quality Control with Computer Vision

Filip Petrovski

Borislav Agapiev

AI-aided Mammography

Borislav Agapiev

Goran Pavlovic

Goran Pavlovic

Alex Barakov

Alex Barakov

Peter Stensgaard Hansen

Radically Sustainable AI Infrastructure (That Works)

Peter Stensgaard Hansen

Dennisvan Rooijen

With a solid foundation in Information Engineering and Consultancy, Dennis excels in driving data-driven decisions and optimizing business strategies. With over 15 years of experience, he stands out for his ability to align technical solutions with specific business challenges. He is deeply passionate about building and expanding Data Enterprises, focusing on processes, people, and platforms. Dennis’s central role in GitLab’s Data Team involves spearheading the creation of a scalable and reliable Data Platform for Data Analytics, showcasing his commitment to delivering value from data with speed, pragmatism, and sustainability.
Our journey to harden the security and compliance of the Data Platform

Dennisvan Rooijen

Radovan Bacovic

Radovan Bacovic is a Staff Data Engineer at GitLab, living, enjoying and coding in Novi Sad, Serbia. Part of the Data gigants ambassador program: Snowflake Squad and dbt spotlight members. An experienced data engineer and “wanna-be” is the best bad conference speaker. Forever eager to discover new data technologies in the fast-changing environment. He armoured himself with a profound application development background in large international companies around the globe. Strongly advocated for the open-source community and open-core approach. He was trapped in the Data world for 20 years. Passionate Brazilian Jiu-Jitsu practitioner.
Future of the future: creating an AI product beyond hype

Radovan Bacovic

Linda Stege

Linda Stege

Cryptica delves into the profound impact of AI in Computational Finance. The focus lies in showcasing
practical applications across the Trading, Insurance, FinTech, and Blockchain industries.

Andrija Novakovic

ZK for Identity – design patterns and future directions

Andrija Novakovic

Miroslav Grbovic

Miroslav Grbovic

Raisa Khamidullina

Raisa Khamidullina

Nikola Popov

An unorthodox software engineer with economic background, leveraging new technologies to help solve business problems.
The Fast and the Curious: Harnessing AI in Financial Data Extraction at Scale PS: Wanted to be something catchy, will probably test some other variants of the title

Nikola Popov

Adi Saric

Experienced technologist with a demonstrated history of working in the information technology and services industry. Skilled in SOA, Databases, IT Strategy, and Management. Strong entrepreneurship professional with a Bachelor of Science focused in Computer Science from University of Washington.
Revolutionizing Claims Processing: Harnessing Machine Learning for Enhanced Customer Experience in Insurtech

Adi Saric

Kosa Nenadic

Kosa Nenadic received her BSc and MSc degrees in Computer Science from the Faculty of Sciences, University of Novi Sad, Serbia, and a PhD in Applied Software Engineering from the Faculty of Technical Sciences, University of Novi Sad, Serbia.

For years, she was a principal system architect. She worked on the design of Schneider Electric’s Advanced Distribution Management System (ADMS) and served as the chief system architect for Schneider Electric’s Advanced Gas Management System (AGMS), both critical enterprise infrastructures. She was also a design architect for the secure development lifecycle of ADMS/AGMS products.

Her current focus is on the design, integration, and security of the next generation of enterprise blockchains. Her latest academic research involves blockchain-based distributed systems and their integration within enterprises.

Her main interests include rich Internet applications, the Semantic Web, Linked Data, distributed enterprise systems, and system integration.
Blockchain in Enterprise Systems: Integration of Blade Blockchain

Kosa Nenadic

Goran Gvozden

Experienced Consultant and Team Lead with over a decade of cross-functional expertise in project management, machine learning, product development and IT operations. As an AI specialist, he leverages data analytics and machine learning to develop optimized, data-driven business solutions.
AI in Financial Services: Automated Company Valuation

Goran Gvozden

Emilija Vukovic

Predicting Retention on the BBC Sounds Service Using Historic User Dynamics

Emilija Vukovic

Milos Pavlovic

Milos Pavlovic

Suren Movsisyan

Dr. Suren Movsisyan is an early Bitcoin adopter, software engineer, Solana Foundation and Nas Academy 2023 Solana Developer Masterclass Scholar (outcompeted 35K+ other developers and won the scholarship), finished Columbia University New York Engineering Entrepreneurship Start Me Up Spring 2023 Botccamp, Marketing maven, the Founder and CTO of AIgorithm (patented AI+VR Metaverse, Art and Music software, and social media network), Angel Investor, Startup Battles Clubhouse club (60K+ members, the world’s 2nd largest club and top 3 in AI, Crypto and Angel Investing globally), PhD in Technical Marketing and Business Management, an Influencer, CMO at Revolve Games, working in Cryptos, ZAP Protocol and NFT Marketplace, Bitcoin Center New York, Blockchain Center New York. Suren was a researcher at Copenhagen Business School and author of 17 scientific articles, a book, and 15 blog posts published on famous websites and has over 15 years of marketing and managerial experience, and managed over 70 businesses’ marketing activities across different verticals (AI, IoT, Media, Entrepreneurship, Influencer Marketing, Blockchain, Real Estate, Healthcare, etc).

Suren is Forbes 30 under 30 EU finalist in 2022. Suren is Ai Music and Metaverse Judge at the world’s first-ever Decentralized Music World Cup (founded by the former CMO of Polygon). He is a Startup Coach and Mentor at Ripple XRPL Scale Up and Launch Accelerator Programs at Dubai DIFC Innovation Hub. He has grown top Silicon Valley companies’ users and revenue to 8 figures. He has recruited and managed developers, marketing, content specialists, video and graphic designers in Asia, the Middle East, Caucasus, the EU, and Silicon Valley. He is an Influencer and Brand Ambassador for the world’s famous brands: Memobottle, Redbubble, PopSockets, Casely, Gymversus, MNML, ThePro.Co, Inkbox, Keyyes, MBE, MVMT, Michael Louis, Squat Wolf, TrendHim, Rogue+Wolf, InkBox, Arvo Watches, ProTeeth Whitening. Suren Movsisyan is featured in Nas Daily Show and in top journals, governments, and adjacent institutions documents, world’s top universities and research institutions in 15 languages across 40+ countries. Suren has over 100K followers and influencer status.
AI Humans and the Cross-Chain Metaverse: The Next Frontier for Interactive Data Management and Community Growth

Suren Movsisyan

Aleksandar Veljkovic

Lead researcher at 3327.io, research department of Attic42. More than 10 years in software development and protocol design, 8+ years in domain of Web 3.0, zero knowledge cryptography and decentralized systems. Teaching at university for 7+ years. Has PhD in Computer Science.
Privacy-preserving Computation in Plain Sight

Aleksandar Veljkovic

Milica Vulic

Senior Researcher and Scholar. Due Diligence Investigator and Analyst, covering various topics in political risk, geopolitics and tech.
Advancements in Cryptography and Zero Knowledge Proofs

Milica Vulic

Milos Bosnjak

Milos Bosnjak

Mersiha Karamustafic

My name is Mersiha Karamustafić, and I am currently employed as a Data Scientist at HTEC Group. I hold a Bachelor’s degree from the Faculty of Electrical Engineering in Sarajevo and a Master’s degree in Data Science from the International Burch University (IBU).
Blockchain Analytics with Dune

Mersiha Karamustafic

Pandora is the ultimate cross-road between the world of gaming development, AI, and data. Game development studios and organizations are set to present their groundbreaking AI and ML-driven game creation, alongside the revolutionary technologies and trends shaping the Game industry.

Alexey Shestakov

Alexey Shestakov

Dmitriy Matveev

Dmitrii Matveev is the Head of Data Science & Strategy at Wargaming, with over six years of expertise in data science, analytics, and machine learning. Dmitrii has a proven track record of success with previous companies such as Havas Media and WPP, where he implemented ML solutions that significantly boosted revenue for businesses. Currently, he is working on Bowling Crew and another unannounced project. His expertise encompasses leading diverse teams, delivering ML solutions to production, conducting controlled experiments, optimizing pricing, and developing recommendation systems.
Inside Wargaming’s Recommendation System: Boosting Engagement and Monetization

Dmitriy Matveev

Constantin Berthelier

With more than 10 years as a Narrative Designer in the video game industry, Berthelier has explored many facets of the discipline, ranging from mobile to console, and more recently, web3. With a strong background in romance games, he knows firsthand that players can and will form deep bonds with video game characters that resonate with them. More recently, he had the unique opportunity to develop a project involving AI NPCs for the web3 RPG Cloudborn, working closely with AI for games leader Inworld AI. Now at Chromaway, the leading blockchain tech consortium, Berthelier is leading a new project aimed at going beyond AI NPCs, leveraging the best AI technology to push the boundaries of ever-richer narratives for video games.
Forget everything you think you know about NPCs and world building.

Constantin Berthelier

Nikola Vasiljevic

Hi, my name is Nikola, Head of Insights at Mad Head Games and a passionate data advocate. With 13 years in research and analytics, I’ve worked as an analyst/consultant at GfK and held insights and innovation management roles at Henkel and Molson Coors. Six years ago, I transitioned to the video game industry, fulfilling a childhood dream. At Mad Head Games, I cultivate a data-driven culture, leveraging data to build a great games portfolio and support our designers in creating better games. My expertise spans quantitative and qualitative research, big data analytics, machine learning, and data visualization. My mission is to promote data-driven culture and spearhead data transformation in modern businesses.
Data-Driven Game-dev Business: Building a Profitable Portfolio

Nikola Vasiljevic

Lara Rajkovic

Lara Rajkovic, while graduating in Mathematical Statistics from the Faculty of Science in Zagreb, began her career in mobile gaming analytics. She has been working for the past five years at Nanobit, a game development studio based in Zagreb, Croatia. Nanobit, an award-winning studio and part of the Stillfront Group, has reached millions of players worldwide with its highly successful games. As a Senior Data Analyst, Lara is passionate about uncovering valuable data insights that help the team grow their games with informed decisions.
Optimizing Mobile Game LiveOps with Data-Driven Decisions

Lara Rajkovic

DigiHealth focuses on the AI and Data Science application in health, pharma and life sciences. With a primary focus on practical and innovative implementations and cutting-edge technologies already in use today.

Stevan Vrbaski

Stevan Vrbaski

Ena Anicic

Ena Anicic is machine learning engineer at Atomic Intelligence. She hold bachelor’s degrees in mathematics and masters degrees in mathematical statistics from the University of Zagreb. She works on a variety of projects in AI, some of which are music source separation, document layout analysis and synthetic data generation for medical applications. Her work involves both research and generation of novel ideas and solutions, as well as engineering and efficient implementation of their results. Ena is also actively engaged in the AI community, regularly participating in conferences and events to stay at the forefront of trends and advancements in the field.
Enhancing Medical Research through Synthetic Data Generation

Ena Anicic

Sinisa Slijepcevic

Sinisa is the CEO and Founder of Cantab Pi, an award-winning scaleup revolutionizing how pharmaceutical industry is using data & AI.

Sinisa has been building and leading various small and large businesses on three continents, while remaining an active scientist researching algorithms and complex systems. With a PhD in applied mathematics from the University of Cambridge, he remains passionate how data&AI can be used to shape and change the world to the better.
Revolutionizing Healthcare Business Models for the Digital Age

Sinisa Slijepcevic

Marijana Vasilescu

Marijana Vasilescu is the CEO of MediGroup, the largest private healthcare system in Serbia.
Her extensive and successful career evolved in management roles in the international banking sector and FMCG industry, in Central and Eastern Europe.
As one of the leading experts in the field of growth management, digital transformation and strategic repositioning of companies in the region, her mission is aimed towards superior user experience, innovation and digitalization, as well as maintaining the leadership position of MediGroup system in private healthcare.
Vasilescu graduated from the Faculty of Economics in Bucharest and completed her master’s studies in the field of Business and Finance at the same faculty, while she obtained her EMBA from the London Business School.
Revolutionizing Healthcare Business Models for the Digital Age

Marijana Vasilescu

Ognjen Milicevic

Revolutionizing Healthcare Business Models for the Digital Age

Ognjen Milicevic

Ivan Jurcic

Dragan Hrncic

Dr. Dragan Hrncic, MD, MSc, PhD is an experienced associate professor at the Faculty of Medicine in Belgrade. Dr. Hrncic is a board-certified specialist in Internal Medicine, PhD in Medical Sciences. Postdoctoral fellowship done at University of Heidelberg, Germany. MSc in Health Management studied at the Faculty of Organizational Sciences and MSc in Bioethics at Clarkson University in New York. Master of Health Management and Master of Bioethics. He is one of the leading sleep research and medicine experts in Serbia. Prof. Hrnčić is Program Board Director of Master in Longevity and Anti Aging Medicine. Devoted to practical and ethical aspects of application of AI in Education, Sleep and Longevity Medicine
How to improve sleep medicine diagnostics by AI

Dragan Hrncic

Ivan Lorencin

Ivan Lorencin is an Assistant Professor at the Faculty of Informatics at Juraj Dobrila University of Pula, where he also serves as Vice-Dean for Science and Industry Collaboration. His expertise spans electrical engineering, mechanical engineering, and computing, with a strong focus on artificial intelligence applications in healthcare.

He is the owner of Ant Intelligence, focusing on AI solutions, and a Partner and AI R&D lead at dAIgnostics, contributing to the development of AI-driven medical diagnostics. He is also an editor for multiple scientific journals and has authored or co-authored over 100 scientific papers, many of which are published in leading Q1 and Q2 journals. Ivan completed his doctoral studies in 2022 with a dissertation on AI-driven cancer diagnostics.

He actively participates as a project leader and collaborator in multiple research projects, contributing to the development of AI-driven solutions. Ivan Lorencin is dedicated to bridging the gap between academia and industry, leveraging his expertise to foster impactful collaborations in the fields of science and technology.
How Large Language Models are Transforming Modern Medicine

Ivan Lorencin

Miodrag Cekikj

A tech-driven enthusiast, contributing my expertise to the R&D team @ IWConnect. With a background in software engineering, I’ve served as a technical lead and solution architect, specializing in, but not limited to Microsoft technologies. My PhD in bio engineering has broadened my perspective, allowing me to apply ML and AI across various industry domains. Currently, I’m intensively involved in the dynamic realm of Applied AI and cloud-native cognitive trends, including different LLMs & LMMs-driven applications within the expanding excitement surrounding Generative AI. As an enthusiastic and cutting-edge hyped person, I actively contribute to and support different tech communities and educational centers here and widely abroad. What I want is to be constantly challenged by innovation and drive progress in the tech landscape.
Applied Machine Intelligence in Bioengineering: AI’s Role in Advancing Personalized Medicine for Colorectal Cancer Treatment

Miodrag Cekikj

Aleksandr Zverianskii

Aleksandr Zverianskii is a Data Scientist and Machine Learning Engineer with over 15 years of experience bringing production-level models to millions of users. He has founded and contributed to multiple ML-based startups and led projects at Gett, where he developed models for driver segmentation, churn prediction, and rate optimization. He is currently pioneering GenAI and NLP at the healthcare startup, Simple App. His past work includes leading DS team at Sberbank and Advance.careers, the UK’s largest early-careers job board. He holds an MSc in Data Analytics & Statistics and is an active organizer in the Python community.
Revolutionizing Weight Loss with GenAI: Memory and Evals

Aleksandr Zverianskii

Luka Topalovic

Got MSc degree at Faculty of Electrical Engineering in 2019. Started working as Bioinformatics scientist at SevenBridges in 2017. In 2022 started working at Absci as Senior Bioinformatics scientist and working here since.
Antibody optimization enabled by AI

Luka Topalovic

Filip Maljkovic

Filip Maljkovic is an expert in information technology with extensive experience in database management, software development, and system integration. He holds a master’s degree in electrical engineering, specialising in the field of computer sciences. Filip began his career as a Junior Developer at the Central Register of Serbia, where he played a crucial role in modernizing the information system for social contributions. Since 2013, he has been working in Heliant, first as a Senior Developer and later progressing to the role of a Designer and Projector of Integration Modules for healthcare in Serbia. Filip is a highly motivated professional, skilled in managing complex projects, and committed to continuous learning in the field of programming and database technologies. He is fluent in English and has a strong ability to work under pressure and meet tight deadlines.
Navigating the Ocean of Medical Data

Filip Maljkovic

Sinisa Slijepcevic

Sinisa is the CEO and Founder of Cantab Pi, an award-winning scaleup revolutionizing how pharmaceutical industry is using data & AI.

Sinisa has been building and leading various small and large businesses on three continents, while remaining an active scientist researching algorithms and complex systems. With a PhD in applied mathematics from the University of Cambridge, he remains passionate how data&AI can be used to shape and change the world to the better.
How to cure a cold, and how to live forever: Large Language Models and human medical knowledge

Sinisa Slijepcevic

Luka Novak

Luka holds a Master’s degree in Computer Science with a focus on Data Science and Machine Learning. He has worked with leading global consulting firms, providing expert data science solutions to a diverse range of industries and companies around the world. In the last few years, Luka has specialized in data-driven solutions for the pharmaceutical industry, where he applies his expertise to unlock insights and drive innovation. Outside of work, Luka is passionate about sports and has a deep appreciation for music, both of which he enjoys in his free time.
Deploying a startup AI SaaS Platform in a Fortune 500 company: experience from the front line

Luka Novak

AI:Commerce devlves into the transformative impact of artificial intelligence on the e-commerce landscape. Learn more about the potential of AI in the retail industry, eCommerce and logistics.

Vladimir Cuk

Unison and AI in the Public Sector

Vladimir Cuk

Milos Babic

Milos Babic

Slavoljub Atanasovski

Slavoljub Atanasovski

Dusan Popovic

Dusan Popovic is an e-commerce expert with 17 years of experience in IT. Dusan holds a master’s degree from the School of Electrical Engineering in Belgrade and an MBA. After living in Norway he co-founded Byteout Software, a company specializing in e-commerce consultancy and development. Dusan also co-founded multiple startups, including Office Bite, a platform organizing office lunches and company food needs. He also operated and invested in several e-commerce businesses.

Dusan Popovic

Irena Bojarovska

Irena Bojarovska is a data scientist based in Germany since 2012. Originally from Macedonia, she moved to Russia at 18 to study Applied Mathematics and Computer Science and earned her Ph.D. in Mathematics from the Technical University of Berlin, focusing on applied harmonic analysis. Since 2017, she has worked at Zalando SE, first as a Data Analyst and then as an Applied Scientist since 2021. Her expertise includes time-series forecasting using machine learning and deep learning techniques, causal inference in marketing, and automation. Irena is passionate about leveraging data science to solve complex problems and improve efficiency.

Irena Bojarovska

Darko Marjanovic

Darko Marjanovic

Milutin Studen

So far, Milutin has had a diverse career path, developing from a robotics specialization during his studies, through computer vision (CV), finally leading him to natural language processing (NLP).
His expertise lies in implementing language models for advanced search and ranking systems, focusing on embedding models, re-rankers, and small language models (SLMs). Additionally, he’s fascinated with the world of vision-language models (VLMs), exploring their potential for future applications. His work bridges the gap between AI research and practical business solutions, helping companies enhance their e-commerce capabilities.
E-commerce platforms have become an integral part of our daily lives, yet we often overlook the complex processes occurring behind the scenes. From keyword matching to semantic search, re-ranking, recommendation systems, and personalization, these platforms employ a variety of sophisticated models, both predictive and generative. This talk will explore the key components of E-commerce search engines, breaking down their essential functions and underlying technologies. We’ll examine how these systems work together to deliver relevant results and enhance user experience, providing attendees with a clearer understanding of the technology powering modern online shopping.

Milutin Studen

Mila Stankovic

Data Driven Supply Chain Network Design

Mila Stankovic

Youssef Kamal

Youssef Kamal, with three master’s degrees and currently pursuing a fourth in Artificial Intelligence, brings deep expertise in data science across fintech, banking, e-commerce, and supply chains. He is the founder of the People of Data community in Egypt, a vibrant network of 3,000 engineers offering free courses and fostering collaboration among AI professionals. Youssef’s journey includes building data science teams for Cairo startups and contributing to German and Hungarian ventures. He actively teaches online courses to thousands in Saudi Arabia and is now focused on leveraging AI to improve healthcare for millions in Egypt, while also serving as a founding partner in a foundation dedicated to social development.
Optimizing E-commerce with Data Science: Enhancing Customer Experience and Sales

Youssef Kamal

Ratko Nikolic

Ratko Nikolic is a senior data scientist at InterVenture, specializing in LLM and generative AI-powered products and services for Boxalino / Winning Interactions, a Swiss e-commerce AI optimization company. He holds a BA in Sociology of Culture and Politics and an MSc in Machine Learning and Social Network Analysis. Ratko’s journey into data science began with marketing mix modeling and media spend optimization. Since then, he has worked on projects involving machine learning algorithms and AI for automating business intelligence reporting, supply chain management, as well as media monitoring and sentiment analysis. Currently, his focus is on leveraging LLM-powered agents to enhance and automate business decision-making processes.
Automation of Marketing Content Generation with LLMs

Ratko Nikolic

Anthony Gale

Anthony Gale is the Founder and CEO of PromoLens, an AI-driven analytics platform designed to empower eCommerce businesses by optimising their pricing and promotional strategies. With over two decades of entrepreneurial success, Anthony has founded and scaled multiple companies across eCommerce, logistics, and artificial intelligence sectors. Anthony is passionate about helping startups unlock their potential by refining business models, creating efficient product roadmaps, and leading high-performance teams. PromoLens reflects his mission to harness AI for smarter business decisions, enabling online retailers to enhance profitability through data-driven insights. Based in London, Anthony combines his expertise in lean startup methodology and his strong leadership skills to drive PromoLens toward becoming a leader in eCommerce analytics.
AI-Powered Pricing: Smarter Decisions, Bigger Profits

Anthony Gale

Irena Bojarovska

Irena Bojarovska is a data scientist based in Germany since 2012. Originally from Macedonia, she moved to Russia at 18 to study Applied Mathematics and Computer Science and earned her Ph.D. in Mathematics from the Technical University of Berlin, focusing on applied harmonic analysis. Since 2017, she has worked at Zalando SE, first as a Data Analyst and then as an Applied Scientist since 2021. Her expertise includes time-series forecasting using machine learning and deep learning techniques, causal inference in marketing, and automation. Irena is passionate about leveraging data science to solve complex problems and improve efficiency.
Demand Time-Series Forecasting: From Accuracy to Stability and Automation

Irena Bojarovska

Agostino Calamia

Agostino is a seasoned Machine Learning and AI Engineer currently freelancing, with a rich background in leading innovative projects. Previously, he worked at Shopify, a leading e-commerce platform, and N26, a prominent online bank in Europe. Agostino specializes in leveraging experimentation, LLMs, and machine learning modeling to drive sales and enhance internal processes . His expertise in MLOps ensures that AI solutions are efficiently deployed and maintained, enabling organizations to harness the full potential of their data. Passionate about advancing the field of AI, Agostino is dedicated to creating user-centric solutions.

Agostino Calamia

Dobrica Cosic

Dobrica Cosic

AI:CSI focuses on the world of AI-powered security. Also, cybersecurity and cyber intelligence are the topics that will be discussed.

Tatjana Pejcinovic

Tatjana is an accomplished data professional, currently specializing in driving business impact through data analytics. With a robust international background, Tatjana has excelled in all facets of the data value chain, from constructing data platforms to deploying predictive models.
Guardian – fraud detection using graph analysis

Tatjana Pejcinovic

Petra Sinka

Petra is a data scientist and analyst with experience and advanced skills in handling large data sets in tackling various business use cases. She has an advanced degree in mathematics and several years of experience in projects that use data to tackle various business challenges. For the past 2 years, she has worked as a Data Scientist in True North, helping clients to gain access and use insights from data in optimizing their business processes.

Petra Sinka

Renat Khizbullin

Renat Khizbullin is a Senior Research Engineer at Incode Technologies, with 8 years of expertise in deep learning and computer vision. He leads the development of advanced ID document fraud detection systems that have achieved industry-leading accuracy. With a strong background in super-resolution, optical character recognition (OCR), and object tracking, Renat has played an important role in developing image enhancement algorithms for Huawei smartphone cameras and an advanced Multi-Camera Analytics system for retail companies. He is also the holder of several patents in these fields.
Vision-Language Models for Fraud Detection

Renat Khizbullin

Francesco Vigo

Francesco is a Director of Engineering in the Office of the Chief Product Officer (CPO) at Palo Alto Networks. In this role, he specializes in driving cybersecurity innovations and exploring emerging technologies. Over the past couple of years, he has explored the practical applications of artificial intelligence (AI) and its impact on cybersecurity. Francesco joined Palo Alto Networks in 2017 after being part of the NSX product team at VMware.

With over 20 years of experience in technology and cybersecurity, Francesco is a seasoned professional and a recognized speaker at various industry events. He has delivered talks at conferences such as Palo Alto Networks Ignite, VMworld, Microsoft Ignite, and Google Cloud Next. Francesco is based in Milan, Italy.
The Future of Cybersecurity in an AI-driven Era

Francesco Vigo

Uros Arsenijevic

Product Manager in cybersecurity experienced in leading both web and native mobile product development in startup environment.
People-Centric Security: From Awareness to Culture

Uros Arsenijevic

Brian Wagner

Brian is a seasoned expert in cloud technology and security, with over 20 years of experience in the industry, particularly in the global financial services sector. He has held senior leadership roles, including Head of Security and Compliance at AWS Financial Services EMEA, Director of Cloud and Security at a Silicon Valley analytics company, and CTO of a UK-based cyber security services provider. As CTO at Revenir, Brian leverages his expertise to build innovative products that meet the unique demands of the financial services industry, combining security, scalability, and reliability.

Brian Wagner

Rafah Knight

Rafah Knight has a strong background in AI Security. She started off her career in tech as a UX designer creating bespoke UX applications. Her career then moved to working for a leading Big 4 consultancy supporting organisations across the private and public sector in their AI & Cybersecurity challenges. Her career then shifted to providing AI Safety and Security leadership to a leading VC fund. Rafah subsequently founded SecureAI. Her background in International Development (anthropology and human geography) alongside her robust experience in AI & cybersecurity brings a unique people-focused perspective to solving AI security challenges.
How to Leverage AI Securely

Rafah Knight

NEURO AI

Neuro AI Con will explore the intersection of neuroscience and AI. Discover how cutting-edge AI algorithms are inspired by the human brain and how they can be applied to advance neural research.

Susanna Gordleeva

Susanna Gordleeva received the M.Sc. and Ph.D. degrees in physics and mathematics from the Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia, in 2010 and 2015, respectively, and the D.Sc. (Habilitation) degree in biophysics from the Institute of Theoretical and Experimental Biophysics RAS, Pushchino, Russia. in 2022. Since 2015, she has been serving as an Assistant Professor in computational neuroscience at Lobachevsky State University, Nizhny Novgorod. In 2021, she became the Head of the Laboratory of Neurodynamics and Cognitive Technologies, Institute of Neuroscience, Lobachevsky State University. In 2022, she was appointed as a Professor in computational neuroscience. She is currently a Professor at the Department of Neurotechnologies and Director of the Neuroscience Research Institute at the Lobachevsky State University. Her research interests encompass theoretical neuroscience, computational neurobiology, neurotechnology, and mathematical biology.
Neuromorphic computing in spiking neuron-astrocyte networks

Susanna Gordleeva

Jordi Vallverdu

Jordi Vallverdú B. Phil, B. Mus, M.Sci, Ph.D. is an ICREA Academia researcher (Causality and Deep Learning) and Professor at UAB about cognitive and epistemic aspects of the Philosophy of Computing, Philosophy of Sciences, Cognition, Ethics, and Philosophy of AI. He has enjoyed research stays at Glaxo-Wellcome Institute for the History of Medicine (1997), J.F.K. School – Harvard University (2000), and Nishidalab – Kyoto University (2011, JSPS Grant). In 2019 won the Best Presentation award of the HUAWEI Neuro-inspired, cognitive, and unconventional computing workshop, Kazan (Russia). He has written extensively, with 277 ORCID documents that include 19 books, 47 chapters, and 106 peer-reviewed papers, among other documents. He also has excellent ratings and indexes on several academic evaluation sites. As a professor has 3 massive courses at COURSERA, which sum up more than 250.000 enrolled students from all around the world.
Predicting Retention on the BBC Sounds Service Using Historic User Dynamics

Jordi Vallverdu

Susanna Makerova

Fashion designer, founder and creative director of SuzieMFashionLAB, holder of diplomas of Pierre Cardin and Vyacheslav Zaytzev’s Fashion Houses and golden scissors award for professionalism, grand-prix holder of all-Russian and international contests, the initiator and curator of fashion and design movement Etnomoda, the founder of Etnomoda fashion platform for young designers, one of 13-top talented designers of the 2018th, one of 10-top best Russian fashion brands of the 2019th, participant of International Fashion Weeks in different countries, participant of the biggest fashion show to set two World Guinness Records

Susanna Makerova

Tarry Singh

Human Brain vs AI Brain: Can We Design a Truly Human-like AI?

Tarry Singh

Srikanth Ramaswamy

Dr Srikanth Ramaswamy, is a Marie Curie Fellow, a Lister Prize Fellow and an Assistant Professor in computational neuroscience at Newcastle University. He is also a Fulbright Scholar at MIT and a Theoretical Sciences Scholar at OIST. He directs the Neural Circuits Laboratory at Newcastle University. His research is at the intersection of neuroscience and AI (NeuroAI). Specifically, he is interested in the role of neuromodulators, signaling chemicals in the brain, in shaping cognition in biological neural networks and building biologically-informed neural network models. He is a founding scientist of the Blue Brain Project at Ecole Polytechnique Federale De Lausanne (EPFL). He earned his PhD at the EPFL in computational neuroscience, where he developed data-driven modelling frameworks for biologically detailed digital models of neural networks. As a scientist of colour, Dr Ramaswamy is passionately committed to promoting diversity, equity, and inclusion and is a founding member of the ALBA network, where he leads efforts to advance DEI in neuroscience, including launching the ALBA diversity podcast series in late 2020, highlighting the stories of emerging neuroscientists from underrepresented backgrounds.
What can artificial neural networks learn from biological neuromodulatory systems?

Human Brain vs AI Brain: Can We Design a Truly Human-like AI?

Srikanth Ramaswamy

Drazen Orescanin

Human Brain vs AI Brain: Can We Design a Truly Human-like AI?

Drazen Orescanin

Alexander Toshchev

Dr. Aleksandr Toschev is a distinguished scientist and Chief Technology Officer, recognized for his groundbreaking contributions in AI, computer vision, and spiking neural networks. With over 16 years of experience, he has led diverse teams to achieve technological excellence and innovation. Dr. Toschev’s career highlights include co-founding B-Rain ARK FZ LLC, where he developed advanced computer vision technology capable of identifying over 400 types of fruits and vegetables, significantly reducing cashier errors and outperforming industry giants. His work in fraud detection has increased retail profits and customer retention, while his augmented reality prototypes have secured prestigious international tenders. As CTO of ICL Group’s GDC in Russia, Dr. Toschev architected systems for 10 Tier 1 customers, integrating AI and computer vision to enhance data analytics and user interfaces, driving a tenfold increase in company revenue. He also co-founded B-Rain Labs LLC, focusing on neurorehabilitation and pioneering projects with Spike Neural Networks, earning an international patent. Dr. Toschev’s academic achievements include a Ph.D. in Computer Science from Kazan Federal University, where he also served as a director and established influential programs in AI and computer science. Fluent in English and Russian, Dr. Toschev continues to push the boundaries of technology, blending scientific rigor with innovative vision to shape the future of AI and intelligent systems. His leadership, technical expertise, and passion for innovation make him a luminary in the realm of modern science and technology.
Spiking Neural Networks: Present Breakthroughs and Future Potential

Alexander Toshchev

Irina Karabulatova

MODERN CHALLENGES OF HUMANITIES FOR THE DEVELOPMENT

Irina Karabulatova

Evgenia Alshanskaia

Evgeniia Alshanskaia is a PhD candidate in cognitive neuroscience and psychophysiology at the National Research University Higher School of Economics, specializing in biomarkers and machine learning analysis of mental states, stress, and systematic neurobiology of the autonomic nervous system (ANS) and central nervous system (CNS). She received a specialist degree from the Faculty of Psychology at Moscow State University in 2004, and in 2020 graduated from the Faculty of Biology at Moscow State University named after Lomonosov, specializing in neurophysiology of behavior and physiology of the CNS. Evgeniia is currently collaborating with the Faculty of Biology and Biotechnology at the National Research University Higher School of Economics and the Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences. She holds several additional qualifications, including a certificate from Harvard Medical School. Her areas of interest include the systematic neuroscience of the ANS and CNS, neuroendocrinology, and neuroimmunology, emotional state analysis, wearable devices and non-invasive biomarkers of mental health, affective computing and behavioral predictive analytics, and applied neuroaesthetics.

Evgenia Alshanskaia

Victor Erokhin

Victor Erokhin is a research director and head of the research unit “Smart and neuromorphic biointerfacing systems” of Institute of Materials for Electronics and magnetism, Italian National Research Council (IMEM CNR). He received MS in physics and engineering in 1983 and PhD in physics of crystals in 1990. Author of more than 220 papers in reviewed international journals (H=33 WoS), 2 books, 20 book chapters and 20 patents. Editor-in-chief of BioNanoScience (Springer Nature). Main scientific activity is related to organic memristive devices and neuromorphic systems.

Victor Erokhin

Danijela Markovic

Danijela Markovic is a researcher at the Centre National de Recherche Scientifique (CNRS) in the Laboratoire Albert Fert, Palaiseau, France. She earned her PhD in quantum physics from the École Normale Supérieure, Paris, in 2017. Following this, she completed a postdoctoral fellowship on neuromorphic computing with spintronic oscillators at Unité Mixte de Physique CNRS/Thales from 2018 to 2020. Her research specializes in quantum neuromorphic computing, and its experimental implementation using superconducting circuits. Danijela explores the advantages quantum properties can bring to neural networks and analog computing paradigms for information processing. In 2022, she was awarded an ERC Starting Grant for her project on quantum dynamical neural networks.
Quantum machine learning with superconducting circuits

Danijela Markovic

GAID

How can we harness AI to create a brighter future? You can hear all about it at GAID and explore innovative AI solutions aimed at solving global challenges.

Pierre Cochard

How is international collaboration on AI shaping sustainable development?

Pierre Cochard

Charlotte Sammelin

How is international collaboration on AI shaping sustainable development?

Charlotte Sammelin

José Mauro da Fonseca Costa Couto

José Mauro da Fonseca Costa Couto

Luca Gori

How is international collaboration on AI shaping sustainable development?

Luca Gori

Ryan Bolick

Future of AI

Ryan Bolick

Yakub Beris

How is international collaboration on AI shaping sustainable development?

Yakub Beris

Branka Andjelkovic

Branka Andjelkovic

Anke Konrad

How is international collaboration on AI shaping sustainable development?

Anke Konrad

Alin Kalam

Global AI Governance

Alin Kalam

Xiang Yang

Xiang received the B.S., M.S and Ph.D. degrees in Computer Science in Harbin Institute of Technology, China. He then worked as a posdoc research fellow in the University of Texas Health Science Center. He is now working in Pengcheng Laboratory, a national research institution located in Shenzhen, China. The main research interests are Natural Language Processing, Large Language Modeling, Medical Informatics, and Cloud Computing. Xiang has published over 100 papers in the aforementioned research fields, including ACL, AAAI, IJCAI, TASLP, Lancet HIV, npj Digital Medicine, etc., with two ESI highly-cited and an overall citation of 2300. The one publised in npj Digital Medicine, the name of which is Med-BERT, has gained a lot of attentions from the field of medical informatics. The paper has now entered the Top-5 highly-cited papers of this journal. He has hosted or participated in many projects and led the development of several platforms, systems or LLMs. A representative one is called Silk-road machine translation platform, which now supports the translation between Chinese and over 50 languages. It is based on a large multilingual model dveloped by his group from scratch. He also focuses on the parallel compution strategies within and cross data centers, both on the optimization of network transmission and computing.
Computing Network-Oriented Large Multilingual Models and Applications

Xiang Yang

Fabro Steibel

To risk or not to risk? The “Brussels effect” on AI regulations in Latin America

Fabro Steibel

Kevin LeGrandeur

Dr. Karlo Knežević is the Head of AI at Sofascore, where he drives innovation by managing the AI team. With a Ph.D. awarded magna cum laude from the University of Zagreb, Dr. Knežević is an expert in evolutionary computation, machine learning, and delivering cutting-edge solutions. His career began as a software engineer and R&D team lead at Sofascore, where he honed his skills in developing advanced technologies. A passionate educator, he has also been a lecturer at Algebra University, guiding future tech leaders. Dr. Knežević has published extensively in scientific journals, contributed to international conferences, and is actively involved in domestic and international professional societies. He balances his professional life with being a dedicated husband and father, embodying a commitment to excellence in his personal and professional endeavors.
The Consequences of AI Hype

Kevin LeGrandeur

BREAKOUT SESSION

Dragan Jovanovic

Introduction to Data Visualisation

Dragan Jovanovic

Srdjan Jovanovic

After graduating from the School of Electrical Engineering, I spent three years at Saga NFG developing fintech analytics platforms with a focus on Data Science and Big Data. I then joined Synechron, where I built ML prediction models for a crowdsourcing investment platform. At Loka, I started as a Senior ML Engineer, specializing in ML, MLOps, and GenAI solutions in the cloud (AWS, GCP). I am now a Machine Learning Team Lead, overseeing a team of ML engineers focused on advancing in these technologies. I have experience applying ML to diverse industries and addressing a wide range of business needs. My expertise covers the entire project lifecycle, from proof of concept to production, including design, data preprocessing, experimentation, training, and deployment.

Srdjan Jovanovic

Andreja Gluscevic

Practical challenges in deploying GenAI to Production

Andreja Gluscevic

Zhengyu Ma

Data as a key ingredient of AI-fueled transformation

Zhengyu Ma

Slobodan Markovic

Slobodan Markovic

Petar Zecevic

Petar Zecevic, an IT veteran with over 20 years of experience, began as a Java developer and IBM consultant. He’s since excelled in Big Data solutions and authored “Spark in Action” (Manning, 2016). He completed his PhD in Computer Science at FER, University of Zagreb in 2024. Petar works as a Senior Principal Consultant at Poslovna inteligencija on various data engineering and data science projects.

Petar Zecevic

Milos Zivadinovic

Milos Zivadinovic

Milos Draca

Moneyball in soccer – is it possible?

Milos Draca

Marko Vasiljevski

Federated Data Architecture

Marko Vasiljevski

Andrija Sagic

Andrija Sagic

Vladimir Cuk

Vladimir Cuk

Tijana Zunic Maric

Tijana Zunic Maric is a Partner at Zunic Law Firm, a leading regional firm with a strong focus on the IT industry and digital businesses. She specializes in IT Law, AI, Data Protection, and Intellectual Property. With an LL.M. from Cambridge, Tijana is the most awarded attorney for data protection in Serbia, recognized by top legal ranking organizations like Who’s Who Legal, Client Choice Award, and Legal500. She advises major clients, including Bloomberg Adria, on data governance and serves as both a Data Protection Officer and Data Protection Representative. Her expertise spans compliance, AI technology regulation, and data-driven strategies for multinationals. Tijana is also a co-founder of Lexelerate AI, a startup within the Katapult Accelerator’s third cohort.

Tijana Zunic Maric

TUTORS

Ved Prakash

Data-driven solutions are Ved’s passion. With over 15 years in data engineering, he excels at designing, implementing, and scaling data infrastructure to deliver actionable insights. His background includes building real-time data pipelines, large-scale data warehouses, and leading high-performing teams. He is currently focused on event-based data pipelines and data observability in GCP.
Supercharge Your Real-Time Analytics: Snowpipe Streaming and Dynamic Tables in Snowflake

Ved Prakash

Tamer Khraisha

Tamer Khraisha is a senior software and data developer, as well as a scientific author, with over a decade of experience in both industry and research. Tamer’s experience combines a solid background in financial markets with substantial expertise in software engineering. He did his undergraduate studies in finance and economics and earned a PhD in network science. Tamer’s research interests are focused on financial markets, data, and technology. During his professional career, Tamer has worked with various FinTech startups, where he designed and built data-driven cloud platforms for financial research, artificial intelligence, and asset management, as well as international payment systems.
Harnessing Financial Data APIs: A Step-by-Step Guide to Financial Data Collection and Integration

Tamer Khraisha

Stefana Janicijevic

Enthusiastic and practical analytics professional with over fifteen years of experience in analytics, advanced analytics, machine learning, and data science. Stefana has successfully assembled and collaborated with engineering teams composed of skilled developers, data scientists, data engineers, and AI specialists.
Together, they have driven advanced projects and scalable solutions for various applications in scientific institutions and enterprises, covering sectors such as energy, telecommunications, banking, insurance, and retail.
Over the course of her career, she has honed skills in data science, statistics, heuristics, optimization, machine learning, MLOps, data modeling, and AI implementations. In addition, she is a professor and mentor, inspiring her students to learn mathematics and programming. Shemotivates them to be productive, efficient, and focused on new technologies, innovations, experimentation, and networking.

Stefana Janicijevic

Sarang Gupta

Sarang Gupta is a Lead Data Scientist at Asana, where he builds and ships ML and AI-powered experiences in the Asana product. Previously, he was an analyst at Goldman Sachs. Sarang holds an M.S. in data science from Columbia University and a B.Eng in Industrial Engineering from the Hong Kong University of Science and Technology.
Unlocking Personalization: A Deep Dive into Modern Recommendation Algorithms

Sarang Gupta

Rigerta Demiri

Rigerta is a Data Engineer also very interested in platform engineering and MLOps.
Currently she is a Senior Data Engineer at 🦊 GitLab & on her free time she runs the Vienna Data Engineering Meetup, bringing data professionals together so they can learn from each other’s experience. On weekends she hikes, rides bikes, travels, reads and spends lots of time with friends and family.
Getting started with Containers and Kubernetes: A Beginner’s Workshop

Rigerta Demiri

Paweł Ekk-Cierniakowski

For over 10 years, he has been professionally involved in data analytics as a data scientist, team leader, and project manager. He has participated in many advanced data analytics projects, such as production line monitoring, opinion analysis, fraud detection, and price forecasting. His main experience and interests are in the pharmaceutical and healthcare industries, but he has also been involved in projects in various fields such as finance, retail, energy, and agriculture. Currently, he is responsible for designing and implementing data solutions, mainly in the areas of machine learning and artificial intelligence. He shares his knowledge as a data science trainer, lecturer, and conference speaker.
Solutions prototyping using Azure AI Studio

Paweł Ekk-Cierniakowski

Nandana Sreeraj

Nandana is a data scientist at Censius AI and an incoming MSc student at X-HEC Paris, specializing in Data Science for Business. She holds a bachelor’s degree from the College of Engineering, Trivandrum. Nandana has published a research paper in the healthcare domain in an international journal. She has extensive experience working in the commerce and SaaS industries and has been actively involved in projects leveraging Generative AI.Her current research interests are focused on Explainable AI.
From Pixels to Words: Exploring Multi-Modal AI with Python

Nandana Sreeraj

Mostafa Fallahnejad

Mostafa is a senior researcher at e-think. Mostafa’s research areas are energy system modelling, notably in the context of H&C (Heating and Cooling) potential analysis and system/grid planning. Mostafa holds a PhD in Electrical Engineering from TU Wien (Austria) and master’s degree in Power Engineering from Technical University of Munich (Germany).
Tools and data to decarbonize cities: Citiwatts, CoolLIFE and an EU-27 Mapping of Financing Schemes

Mostafa Fallahnejad

Miroslav Tomic

Miroslav Tomic works as a Teaching Assistant at the University of Novi Sad, Faculty of Technical Sciences. He is teaching several database and AI courses as well as Big Data course. Besides this he works as a Research Engineer at KEBA Industrial Automation where he completed several projects successfully. Also, he is a PhD student at University of Novi Sad, Faculty of Technical Sciences and his research and interests are mainly in the field of data engineering and datascience.
Introduction to orchestration ETL processes with Apache Airflow

Miroslav Tomic

Milica Maricic

Milica Maricic is an Assistant Professor at the University of Belgrade, Faculty of Organizational Sciences, Department of Operational Research and Statistics. She holds three master’s degrees in business analytics, social sciences, and marketing. Her research fields are composite indicators, rankings, structural modelling, and applied statistics. With more than 10 years of experience, she has a strong background both in academia and in working on various commercial projects. She published more than 18 Web of Science indexed papers and is cited more than 490 times in Google Scholar database. Currently, she is actively engaged in a national scientific project, PANACEA, related to setting the foundation for capacity building of the sharing community in Serbia.
Covariance-based (CB) and Partial Least squares (PLS) SEM modelling: Outline and applications

Milica Maricic

Mikhail Rozhkov

Mastering RAG Evaluation with MLflow and Open Source LLMs in Nebius AI-Studio

Mikhail Rozhkov

Marija Mitrovic Dankulov

Marija Mitrovic Dankulov is Research Professor at Scientific Computing Laboratory and Head of Innovation Center at the Institute of physics Belgrade, the National Institute of Republic of Serbia. She completed her Ph.D. in statistical physics at the Faculty of Physics, University of Belgrade. She has extensive knowledge and experience in theoretical and computational physics. Her primary research interest is application of statistical and complex networks theory for studying socio-economic systems.
HPC application in analysis of large scale complex networks

Marija Mitrovic Dankulov

Lukas Vileikis

Lukas is a database engineer, ethical hacker, speaker, and the author of the book “”Hacking MySQL: Breaking, Optimizing, and Securing MySQL for Your Use Case.
Lukas runs one of the biggest & fastest data breach search engines in the world – BreachDirectory.com – and frequently speaks at conferences educating developers on why and how best to optimize their databases and secure their applications.
Building Data Breach Search Engines with MariaDB

Lukas Vileikis

Kristina Host

Kristina is a research assistant and a postgraduate doctoral student at the Faculty of Informatics and Digital Technologies, University of Rijeka, and a research associate at the Center for Artificial Intelligence and Cyber Security of the University of Rijeka. She is working on a topic of Automatic recognition of actions and activities in multimedia content from sports domain. She has experience with Python and Machine and Deep Learning, and she thinks this tutorial will be a great introduction into the field for participants who want to start working in that area.
Google Colaboratory and Python: Deep Learning basics for CV tasks

Kristina Host

WORKSHOPS

Arian Skoki

Arian Skoki is coming to the end of his PhD in Computer Science, focusing on data-driven decision-making in football, integrating insights from psychology, physiology, and sports science. He has taught courses such as Embedded Systems, Computer Architecture, and Operating Systems at the University of Rijeka. As a leader of the Riteh Web Team (RWT), he mentored students to bridge the gap between academia and industry. He has been actively involved in organizing and mentoring various academic competitions, including the Lumen Development competition, Stem Games, and the “Ri-Hack” hackathon. He also contributed to summer schools on image processing and sustainable education as well as establishing the first “Ri-Comp” conference. While a lifelong martial artist with a deep passion for football, he also enjoys sharing his love for music and bringing good energy to those around him.

Arian Skoki

Catalin Gheorghiu

Catalin Gheorghiu is a solution architect from Romania. My current interests are in the area of (I)IoT, industrial mobile and cloud solutions. In addition to addressing software development and architecture, is a trainer and consultant. In his spare time is member of the technical community, contributing with articles and blogs (signed MrSmersh), presentations to several user groups/meetups (also is RONUA Timisoara user group leader), and lecturing all over Romania and abroad.
Since 2011, every year he has been awarded the Microsoft MVP Award. Is a current Microsoft Certified Trainer.
Anomaly Detection in different domains

Catalin Gheorghiu

Aleksandar Plamenac

Aleksandar is a teaching assistant and PhD Candidate at the Faculty of Natural Sciences and Mathematics, University of Montenegro. Also, he is enrolled in several applied AI projects at the faculty, like AiHeal, which is oriented towards processing ECG signals, and analyzing it. He is one of the founder of startup SentimentScope, which is used for detecting hate speech on web portals, and sentiment analysis. Aleksandar has been working in AI for 4 years, and before that, he was a software engineer for more than 10 years with both local and international experience.

Aleksandar Plamenac

Josip Saban

Think You Can Handle Football Player Data? Join the Club’s Data Lab

Josip Saban

Vladimir Lukovic

Vladimir Lukovic

PANELISTs

Olga Mirkovic Maksimovic

Olga Mirkovic Maksimovic

Ljubomir Kljajic

User friendly HPC: AI on HPC cluster for researchers and startups

Ljubomir Kljajic

Ivana Sesis

Non-Intrusive Load Monitoring Using IoT Smart Devices and Deep Learning

Ivana Sesis

Dusko Martic

Sports in the Age of Superintelligence: Exploring the Future Impact of AI on Athletic Performance

Dusko Martic

Dejan Grubisic

Dejan Grubisic works at the intersection of machine learning and systems at Meta. He got his PhD on the topic “Optimization of Compiler Heuristics Using Machine Learning” at Rice University in the United States. Dejan also holds a master’s and bachelor’s degree from the University of Novi Sad in Serbia, focusing on big data processing and electronics.
What LLMs are not (yet) good at?

Dejan Grubisic

Boban Poznanovic

Boban Poznanovic

Anja Beric

Anja Beric

Jovana Petrovic

After completing her master’s studies at PMF in Novi Sad, at the Department of Physics, she actively engaged at the Department and later at the Mathematics Institute of the Serbian Academy of Sciences in Belgrade, until 2021, when she decided to check out the IT scene. She is currently employed as a Game Math Designer at Playstudios in Belgrade, a position where her knowledge of science meets the needs of gaming. When she is not at the laptop, she spends her time with her daughter or with a good book. She has been a member of the AWDS team since last year, with whom she tries to be a good role model for young people in Serbia and introduce them to some of the current topics in Data Science.
How gender imbalance is holding back the future of AI?

Jovana Petrovic

Gauvain Girault

Gauvain Girault is a Chief Technology Officer at Eviden, in Big Data & Security division, with a comprehensive background in AI, big data, cloud computing, edge, and distributed systems, spanning over 25 years across software, hardware, and services. Before Eviden, he co-founded FastConnect, a French software & services company in which he developed extensive experience in designing and deploying large scale real-time systems for Finance, Insurance and Retail markets. He co-invented & led the development of an open-source hybrid multi cloud software helping large enterprises migrating applications to any cloud with zero lock-in. Currently, he leads technology strategy and governance, driving cross-functional teams, and focusing on integrating Business Computing & Artificial Intelligence solutions in scalable and sustainable business applications. In his spare time, he enjoys practicing basketball, cross-country cycling and Hapkido.
Building Sustainable, Efficient, and Highly Intelligent AI Factories in Europe

Gauvain Girault

Thomas Schmidt

Building Sustainable, Efficient, and Highly Intelligent AI Factories in Europe

Thomas Schmidt

Tarry Singh

Building Sustainable, Efficient, and Highly Intelligent AI Factories in Europe

Tarry Singh

Andrew van der Haar

Building Sustainable, Efficient, and Highly Intelligent AI Factories in Europe

Andrew van der Haar

Branko Kovac

Branko Kovac

Andrea Radonjanin

Andrea Radonjanin