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Keynote speakers

Our four keynote speakers are joining us from four prestigious global universities. Read on to find out more about them and the focus of their keynotes. 

Professor Wenke Lee

Professor Wenke Lee is a Regents’ Professor and John P. Imlay Jr. Chair at the Georgia Institute of Technology. His research interests include systems and network security, malware analysis, applied cryptography, and machine learning. He received his PhD in Computer Science from Columbia University and is an ACM Fellow and an IEEE Fellow. 

Cybersecurity 2.0: Diversified and Just-in-Time Software by AI Developers 

AI agents will be developing most, if not all, software. Rather than relying on post-hoc security analysis, AI agents/developers need to consider security from the start and throughout the software lifecycle: spec understanding, solution planning, code generation, verification, runtime monitoring, and red-teaming. Each of these steps should use an independent agent or the harness of a group of agents from multiple/different models. There are challenges and exciting opportunities in both research and practice to realize this paradigm. But all these are "known known" or the 1.0 cybersecurity technologies. 

We should research the "known unknown" or the 2.0/future technologies. AI agents can generate per-user and per-task software already. While there are open research challenges to achieve efficiency, quality, security, and practicality, the potential benefits, in particular, security enhancement through diversity, are enormous. 

Professor Johan Jendle

Professor Johan Jendle, MD, PhD, is a professor and teaching chair at the faculty of Medical Sciences, Örebro University, Sweden. Johan is the director of the Research Center of Diabetes, Endocrinology and Metabolism at Örebro University, Sweden.

Johan completed his residency training in internal medicine and endocrinology in Linköping University Hospital and was appointed as a research fellow at the same university in 1993. He is also a Certified International Diving Physician (EDTC/ECHM approved).

His current research includes sensor technology, smart insulin pen systems, as well as automated insulin delivery systems and treatments of obesity.He has authored more than 150 papers published in peer-reviewed journals. Special areas of interest include diabetes technology (AID pumps, CGM, smartpens, e-health, interoperability), diabetes treatment, obesity and health economy.

Furthermore, he is a member of the International Federation of Clinical Chemistry (IFCC) working group on CGM and a steering committee member for iCoDE2 and iCoDE harmonisation. He is also chairing an international group on device interoperability (EDDIG).

Connected Wearables and Healthcare System-devices under attack

Connected medical devices and wearables are becoming the backbone of modern healthcare, yet the balance between access and security has never been more difficult to strike. Current ecosystems span a wide spectrum of devices and levels of connectivity, each presenting its own unique vulnerabilities. Cyber threats to these systems are significant and escalating, including overloading attacks and hostile actions from cyber criminals and nation-state actors, representing a growing danger to patients and clinicians alike. There are, however, counter-measures and security systems available, which will be discussed on how they can be deployed effectively.

Professor Karin Verspoor

Distinguished Professor Karin Verspoor is Executive Dean of the School of Computing Technologies at RMIT University in Melbourne, Australia. She is a Fellow of the Australian Academy of Technological Sciences and Engineering,  a Fellow of the Australasian Institute of Digital Health, and a 2021 ‘Brilliant Woman in Digital Health’. She was also  a finalist in the 2022 Women in AI Australia/New Zealand Awards for AI in Innovation.

Karin is passionate about using data and AI to improve health outcomes for people. Her work has a specific emphasis on the use of natural language processing to transform unstructured data in biomedicine, ranging from scientific literature to clinical texts, into actionable information.

Enabling conditions for building AI models of real-world health data

There are accelerating efforts to leverage the power of generative AI and large language models in clinical contexts. However, most commercial AI models have not had access to real clinical data – for good reasons, most importantly related to concerns about patient privacy – and therefore are likely to perform poorly when inserted into complex clinical settings. Furthermore, attempts to generate synthetic data from these models to avoid risks to patients are likely to be flawed. In this talk, I will introduce this context, and discuss what needs to be done in order to move towards building healthcare-specific deep learning models based on real-world data while doing the upmost to protect the privacy of individuals whose data is used to build them.

Dr Debdeep Mukhopadhyay

Dr Debdeep Mukhopadhyay is an Institute Chair Professor in the Department of CSE at IIT Kharagpur, where he founded the Secured Embedded Architecture Laboratory (SEAL) focusing on hardware security. He is currently working as the Associate Dean R&D, IIT Kharagpur. He previously held positions at NYU Abu Dhabi,NTU Singapore, NYU Shanghai, Brooklyn, IIT Madras, and IIT Bhubaneswar.

His research spans cryptographic engineering, micro-architectural security, hardware security, trusted and dependable AI, adversarial ML, and encrypted computations,including homomorphic encryption and privacy-preserving ML. He has published over 300 papers, serves on leading editorial boards, was the Editor-in-Chief ofIACR TCHES (2025) and is a Senior Editor of IEEE TIFS.

A recipient of the Shanti Swarup Bhatnagar Award (2021) - highest science honor in India below the age of 45, Debdeep is a Fellow of IEEE, FNA, FASc, FNAE, and FAAIA.

His recognitions include the Qualcomm Faculty Award (2022), Khosla Award (2021), DST Swarnajayanti Fellowship, and inclusion among Asia’s most outstanding researchers by Asian Scientist Magazine.