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University of Melbourne, Australia
Plenary Speaker
Dr Lachlan Andrew is a lecturer in Computer and Information Systems at the University of Melbourne. Previously he was an associate professor at Monash University and at Swinburne University of Technology, and before that he was a senior research engineer at Caltech. Lachlan's interests are proving theoretical guarantees of the performance of algorithms, such as competitive ratios of online algorithms and approximation bounds on NP-hard algorithms. He has worked on hidden Markov models (HMMs), queueing theory, model predictive control (receding horizon control), dynamic programming, duality models of convex optimization, combinatorial optimization, stochastic processes (reversible Markov chains with product form solutions, Brownian motion models of renewable energy systems, convergence delays of the online Viterbi algorithm, delay analysis of contention based network protocols), dynamical systems (proof of stability of congestion control algorithms) and statistical machine learning.
University of Glasgow, UK
Plenary Speaker
Dr. Antonio Badolato is a Full Professor at the University of Glasgow, specializing in phototonic quantum technologies, and is also a Royal Society Wolfson Fellow. His academic background includes education at the University of California, Santa Barbara. His work focuses on the frontiers of quantum optics, with applications in quantum information science.
University of California San Diego, USA
Plenary Speaker
Adam J. Engler is a Professor and Chair of Bioengineering at UC San Diego, where he has been on the faculty since 2008. He also is a resident scientist at the Sanford Consortium for Regenerative Medicine. Dr. Engler previously trained at the University of Pennsylvania, where he earned his PhD studying how ECM stiffness regulated stem cell fate. He also trained as a postdoc at Princeton University's Department of Molecular Biology, funded by the National Cancer Institute. Dr. Engler has received numerous awards in recognition of this research, including awards from the Biomedical Engineering Society, American Society of Matrix Biology, American Society of Mechanical Engineering, and American Society for Engineering Education. Dr. Engler is a fellow of the American Institute for Biomedical Engineering, the Biomedical Engineering Society, and a recipient of an NIH New Innovator Award.
University of Wisconsin–Madison, USA
Plenary Speaker
Prof. Hu received his Ph.D. degree in Biomedical Engineering from the University of North Carolina at Chapel Hill and North Carolina State University under the supervision of Prof. Zhen Gu in 2018. From 2018-2020, he was a postdoc associate in the laboratory of Prof. Robert Langer in Koch Institute for Integrative Cancer Research at MIT. Prof. Hu joined UW-Madison in 2020 as an assistant professor and was promoted to the Associate Professor and Joseph R. and Bonna A. Robinson Distinguished Chair in 2025 in the Pharmaceutical Sciences Division at the School of Pharmacy.
University of California, US
Plenary Speaker
Dr. Steven F. Lee is a Reader and Royal Society University Research Fellow at the University of Cambridge's Department of Chemistry, specializing in biophysical chemistry. His research focuses on using single-molecule fluorescence spectroscopy and super-resolution imaging to study fundamental biological questions. He is also a co-founder of Zomp, a spin-out company developing new flow cytometry instruments.
University of Kent, UK
Plenary Speaker
Dr. Lei Li is an incoming Assistant Professor of Electrical Computer Engineering at Rice University. His primary research interest is to build next-generation medical imaging devices to better understand the brain and more clearly perceive disease states. He has developed advanced photoacoustic computed tomography (PACT)—an non-invasive imaging modality that combines light and sound for deep-tissue imaging—to visualize wholebody dynamics, map whole-brain functional connectivity, and diagnose human breast cancer. He has developed a PACT-guided microrobotic system to navigate and control microrobots inside the body for drug delivery. He has also integrated photoswitchable proteins with PACT to monitor tumor metastasis and visualize intratumor protein interactions. Pushing the benchtop photoacoustic system toward wearable devices, he introduced ergodicity into PACT and developed a high-throughput imaging system with significantly reduced size and complexity, promising wearable applications. Dr. Li obtained his Ph.D. from the Department of Electrical Engineering at California Institute of Technology (Caltech) in 2019. He then continued his research at Caltech as a postdoctoral scholar in the Department of Medical Engineering. He will join Rice in Jan 2023 as part of the Rice Digital Health Initiative.
University of Birmingham, UK
Plenary Speaker
I am a chair of Computer Science at the University of Birmingham. Prior to joining the university I worked at Microsoft Research, founded several companies and been of the founding teams of others. I have published more than 100 papers in leading computer vision, human computer interaction and graphics forums that were cited more than 19,000 times, granted more than 100 patents and I am a senior member of the Assoc. for Computing Machines (ACM). My research is focusing AI and Augmentation of users’ senses to overcome physical limitations of the real world, from more inclusive work, bridging over differences of location, abilities, resources, and customs, creating a more inclusive workplace and better collaboration. As an interdisciplinary scholar, entrepreneur, and practitioner, I had the pleasure of introducing several new technologies worldwide, including the world’s first time-of-flight color and depth video camera, whose technology was used for Microsoft HoloLens and Magic Leap. I have developed the first streetside service, combining maps with ground-level coverage of streets, which inspired Google’s Streetview and Microsoft’s StreetSide services. I have created a new technology for detection text in images (Stroke Width Transform), used by Bing Maps, many OCR and was included in the OpenCV library. My research work of automatically fitting Augmented Reality applications to each user’s environment (FLARE) was used by Microsoft HoloLens and Unity’s MARS. Other companies that I have contributed to include a novel robotic cane for blind individuals, and autonomous drones that fight wildfires and more.
King's College London, UK
Plenary Speaker
Professor Reader is an expert in medical image reconstruction and analysis, and one of the pioneers for a number of major advances in positron emission tomography (PET), including iterative list-mode 3D reconstruction, resolution modelling, fully 4D reconstruction and the use of deep learning for PET image reconstruction. His current research focuses on deep learning and generative AI for reconstruction, synthesis and analysis of medical imaging data, including physics-informed AI models, kinetics, multiplexed PET and the move towards total body PET imaging. He received his BSc in Physics with Computational Physics from the University of Kent at Canterbury in 1995, his PhD in Medical Physics from the University of London in 1999. He joined the University of Manchester (then UMIST), in 1999 as a Lecturer, became a Senior Lecturer in 2005, and in 2008 he became an Associate Professor at McGill University, Canada, where he also held a Canada Research Chair in PET imaging for 6 years. In 2014 he moved to King's College London, and became a full Professor in 2015. He is an Associate Editor for IEEE Transactions on Radiation and Plasma Medical Sciences, and in 2023 became a Senior Editor for the British Journal of Radiology | Artificial Intelligence.
University of Leicester, UK
Plenary Speaker
Prof. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom, supervised by Professors Patrick Green (Psychology) and Andrew Wallace (Computer Engineering). Prof. Zhou heads the AI and Machine Learning Group and leads the Biomedical Image Processing Lab (BIPL) at University of Leicester. He was PGR Director of CMS (2022-2025), Director of MSc Programme (2018-2019) and Coordinator of MSc Distance Learning at Informatics (2018-2022), and currently is Deputy Director of Research Centre for Artificial Intelligence, Data Analytics and Modelling (AIDAM), Member of the Executive Group of Apollo-Leicester Centre for Digital Health and Precision Medicine (CDHPM) and Corresponding Member of the National Academy of Artificial Intelligence (NAAI). Prior to this appointment, he worked as Reader (2018-2020) at University of Leicester, and Lecturer (2012-2017) at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast (QUB). He was a visiting scholar of QUB during 2018-2020.
Technical University of Denmark, Denmark
Plenary Speaker
Darko Zibar is currently Professor at the Department of Electrical and Photonics Engineering, Technical University of Denmark and the group leader of Machine Learning in Photonics Systems (MLiPS) group. He received M.Sc. degree in telecommunication and the Ph.D. degree in optical communications from the Technical University of Denmark, in 2004 and 2007, respectively. He has been a Visiting Professor at Politecnico di Torino, Friedreich Alexander University of Erlangen, University of California Santa Barbara and University of Colorado, Boulder. His research efforts are currently focused on the application of digital signal processing and machine learning techniques to advance classical and quantum optical communication and measurement systems. Some of his major scientific contributions include: record capacity hybrid optical-wireless link (2011), record sensitive optical phase noise measurement technique that approaches the quantum limit (2021) and record-bandwidth (S+C+L band) programmable gain Raman amplifier (2019). He is the recipient of Young Researcher Award by University of Erlangen-Nurnberg (2016), European Research Council (ERC) Consolidator Grant (2017), Alexander von Humboldt Foundation Bessel Research Award, (2021), and Villum Investigator Award (2023). Finally, he was a part of the team that won the HORIZON 2020 prize for breaking the optical transmission barriers (2016).
University of North Carolina Wilmington, USA
Keynote Speaker
Karl Ricanek Jr., Ph.D., is a Professor of Computer Science in the College of Science and Engineering at the University of North Carolina Wilmington, where he has served since 1999. He is the Director of the Institute for Interdisciplinary Identity Sciences (I³S) and was founding Co-Director of the National Intelligence’s first Center of Academic Excellence in Science and Technology (CASIS). Dr. Ricanek earned his Ph.D., M.S., and B.S. in Electrical Engineering from North Carolina A&T State University, graduating summa cum laude and holding memberships in multiple engineering and academic honor societies. He is a Senior Member of both the National Academy of Inventors and the Institute of Electrical and Electronics Engineers (IEEE). With more than 30 years of experience, Dr. Ricanek is an internationally recognized leader in artificial intelligence, machine learning, and computer vision. His pioneering research in facial analytics, biometrics, and health intelligence from facial imagery has produced multiple patents and over 90 peer-reviewed publications. He has been invited to speak at more than 100 events across nearly 30 countires, and his work has been featured in leading scientific journals and global media outlets.
University of Cambridge, UK
Keynote Speaker
Etienne Perret received the Eng. Dipl. degree in electrical engineering from the ENSEEIHT, Toulouse, France, in 2002, and the M.Sc. and Ph.D. degrees in electrical engineering from the Toulouse Institute of Technology, Toulouse, in 2002 and 2005, respectively. He was appointed Associate Professor in 2006 and Full Professor in 2022 in electrical engineering at Univ. Grenoble Alpes, Grenoble INP, France. He has authored or co-authored over 250 technical conference papers, letters, journal papers, books, and book chapters. His works have generated more than 5700 citations. His current research interests include wireless communication systems based on backscatter modulation, or the backscattering of EM waves, especially in the fields of RFID and chipless RFID for identification and sensing. His research also includes electromagnetic modeling of passive devices for millimeter- and submillimeter-wave applications, along with advanced computer-aided design techniques based on an automated co-design synthesis computational approach. He has received several awards, including the MIT Technology Review’s French Innovator’s under 35 in 2013, the French Innovative Techniques for the Environment Award in 2013, the SEE/IEEE Leon Brillouin Award for his outstanding achievement in the identification of an object in an unknown environment using a chipless label or tag in 2016, the IEEE MTT-S 2019 Outstanding Young Engineer Award, the Prix Espoir IMT – Académie des sciences in 2020, and the Grand Prix de l’Electronique Général Ferrié in 2021. Etienne Perret was awarded an ERC Consolidator Grant in 2017 (project ScattererID) and an ERC POC in 2024 (RFmatCarac).