51st International Nathiagali Summer College on Physics and Contemporary Needs - 2026

6th – 18th July, 2026

INSC Activity - I: Artificial Intelligence and Machine Learning (6th - 11th July, 2026)

Mankind in its pursuit of perfection has always been creating that, which can surpass human limitations. The ensuing sense of accomplishment however, has always remain ephemeral. The reception of these novel endeavors, initially marred with skepticism, paves way for their ultimate acceptance and humanity moves on to meet never challenges.

During this metamorphosis as human history treads from one milestone to another the research community fosters ideas and concepts both favoring and dispelling myths that surround the hype. The perception of perfection thus morphs into the cognition of imperfection, consequently triggering a fresh cycle of innovation. The pursuit of excellence in artificial intelligence is what intrigues mankind today.

Artificial intelligence and machine learning (AI & ML) at the International Nathiagali Summer College is one such endeavor where visionaries of research community, leading the current AI revolution, gets together to discuss state of the art Ai related issues for humanity to ponder.

At the Artificial Intelligence and Machine Learning (AI & ML) activity of International Nathiagali Summer College (INSC), research community leading the current AI revolution, gets together to discuss emerging trends and disciplines within the most cutting-edge AI technology. The previous AI activities at INSC have been graced by leading figures from industry and academia hailing from University of California (UC) Berkeley, Texas A&M University, Johannes Kepler University, Australia, New York University AD, Cardiff University, University of South Wales, Université Polytechnique Hauts-de-France, New York University (NYU), University of Cyprus, University of Kaiserslautern, Shenzhen University, University of Pittsburgh, Qatar Environment & Energy Research Institute, Hamad bin Khalifa University, Mohammed Bin Zaid University, Electronics and Telecommunication Research Institute (ETRI), Istanbul Medipol University and University of the West of Scotland. Keeping up with the tradition, this year's AI & ML activity at INSC will cover state-of-the-art areas in AI research, such as:

  • Generative AI Evolution
  • Edge AI and On-Device Processing
  • Human Robot Interaction
  • AutoML and Low-Code Ai Generation
  • AI for embodied Cognition
  • Multi-Agent Systems and Swarm Intelligence
  • AI governance: Ethics and Regulation framework

Dr. Christian Weis

Professor

Rhineland-Palatinate Technical University of Kaiserslautern-Landau (RPTU) Kaiserslautern, Germany

Talk Title:

  • Lecture 1: Memories for AI Processing I
  • Lecture 2: Memories for AI Processing II
  • Lecture 3: Processing-in-Memories Architectures for ML - a Hype or Reality?
  • Lecture 4: Current and Future HW Trends in Edge AI Processing

Dr. Ulrich Schwanecke

Professor for Computer Science

Rhein Main University of Applied Sciences, Germany

Talk Title: (Online)

  • Lecture 1: Satellite Imagery Super-Resolution

Dr. Adrian Ulges

Professor

RheinMain University of Applied Sciences (HSRM), Wiesbaden/Germany

Talk Title:

  • Lecture 1: Recent Developments in Large Language Models
  • Lecture 2: Uncertainty Estimation in Code LLMs

Dr. Omer Rana

Professor

School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom

Talk Title:

  • Lecture 1: Cybersecurity Challenges in the Electric Vehicle Charging Infrastructure
  • Lecture 2: Agent-based Transport Modelling and Sustainability
  • Lecture 3: Agentic AI and Foundation Models
  • Lecture 4: Agent-based Edge-Cloud Continuum

Dr. Eiman Kanjo

Professor of Pervasive Computing

Head of Smart Sensing Lab, Nottingham Trent University, United Kingdom

Talk Title:

  • Lecture 1: The Future of AI is Tiny
  • Lecture 2: Node Learning: A Framework for Adaptive, Decentralized and Collaborative Network Edge AI

Dr. Farkhund Iqbal

Professor

Zayed University, UAE

Talk Title:

  • Lecture 1: Mining cyberthreat Intelligence for identity tracing and suspect network
  • Lecture 2: A unified XAI-based framework to bridge the knowledge gap for decision-making in Cybersecurity and Digital forensics
  • Lecture 3: AI and Machine Learning for digital evidence correlation for cybercrime investigation: A perspective of smart mobile devices forensics

Dr. Onur Varol

Professor

Faculty of Engineering and Natural Sciences, Sabanci University, Türkiye

Talk Title:

  • Lecture 1: Introduction to CSS
  • Lecture 2: CSS & methodologies to study textual data
  • Lecture 3: CSS & image analysis
  • Lecture 4: CSS & network models /practical applications

Dr. Albert A. Salah

Professor

Social and Affective Computing, Department of Information and Computing Sciences, Utrecht University, Nederland

Talk Title: (Online)

  • Lecture 1: Computational Approaches for Behavioral and Clinical Sciences

Marcel Lamott

RheinMain niversity of Applied Sciences (HSRM), Wiesbaden, Germany

Talk Title:

  • Lecture 1: Model Compression in Document Understanding