Speaker's Bio:

Prof Omer Rana is a Professor of Performance Engineering and previously led the Complex Systems research group. His research interests lie in the overlap between intelligent systems and high-performance distributed computing.  He is particularly interested in understanding how intelligent techniques could be used to support resource management in distributed systems, and the use of these techniques in various application areas. He is a Fellow of the Learned Society of Wales and of the Higher Education Academy, a member of the UKRI International Strategic Advisory Group, the Cross-Council Research Director for the UK National Edge AI Hub, and also the Dean of International for the Physical Sciences and Engineering College.

Speaker's Bio:

Dr Padraig Corcoran is the Director of Research in the School of Computer Science and Informatics (COMSC) at Cardiff University. His research interests are in the fields of network science and operations research. He is particularly interested in applications to the domains of geographical information science and transportation.

Speaker's Bio:

Niki Trigoni is a Professor at the Oxford University Department of Computer Science and a fellow of Kellogg College. She obtained her DPhil at the University of Cambridge (2001), became a postdoctoral researcher at Cornell University (2002-2004), and was a Lecturer at Birkbeck College (2004-2007). At Oxford, she is currently Director of the EPSRC Centre for Doctoral Training on Autonomous Intelligent Machines and Systems, a program that combines machine learning, robotics, sensor systems and verification/control. She also leads the Cyber-Physical Systems Group, which focuses on intelligent and autonomous sensor systems with applications in positioning, healthcare, environmental monitoring and smart cities. The group’s research ranges from novel sensor modalities and low-level signal processing to high-level inference and learning. 

About CHILab@Asan Medical Centre:

At CHILab, we apply and implement AI in healthcare on real world data (RWD) for building AI models to perform in advanced analytics to provide the best quality service to the overall medical system. We are an AI research laboratory specializing in handling the EMR (Electronic Medical Records) of Korea's top hospital. Our laboratory consists of 12 Data Scientists and 4 Administrators. We are currently engaged in collaborative research with numerous clinical practitioners. Specifically, we are working with clinical practitioners in the fields of cardiovascular diseases, hematologic disorders, solid tumours, and organ transplantation to produce research outcomes.

Speaker's Bio:

Minh N. Do received the B.Eng. degree in Computer Engineering from the University of Canberra, Australia, in 1997, and the Dr.Sci. degree in Communication Systems from the Swiss Federal Institute of Technology Lausanne (EPFL) in 2001. Since 2002, he has been on the faculty at the University of Illinois at Urbana-Champaign, where he is currently the Thomas and Margaret Huang Endowed Professor in Signal Processing & Data Science in the Department of Electrical and Computer Engineering, and holds affiliate appointments with the Coordinated Science Laboratory, the Beckman Institute for Advanced Science and Technology, the Department of Bioengineering, and the Department of Computer Science. He received a Silver Medal from the 32nd International Mathematical Olympiad in 1991, University Medal from the University of Canberra in 1997, Doctorate Award from the EPFL in 2001, CAREER Award from the National Science Foundation in 2003, Xerox Award for Faculty Research from UIUC in 2007, and Young Author Best Paper Award from IEEE in 2008. He was an Associate Editor of the IEEE Transactions on Image Processing, and a member of several IEEE Technical Committees on Signal Processing. He was elected as an IEEE Fellow in 2014 for his contributions to image representation and computational imaging. He has contributed to several tech-transfer efforts, including as a co-founder and CTO of Personify and Chief Scientist of Misfit. During 2020-2021 he served as the Vice-Provost, and then continues as Honorary Vice-Provost, for VinUniversity, the first private, not-for-profit Vietnamese university established based on international standards. He also serves as the Director of the joint VinUni-Illinois Smart Health Center.

Speaker's Bio:

Professor Xianghua Xie is currently leading a research team on Computer Vision and Machine Learning (http://csvision.swan.ac.uk) in the Department of Computer Science, Swansea University. He was a recipient of an RCUK Academic Fellowship between September 2007 and March 2012. He was appointed as a Senior Lecturer from October 2012, then an Associate Professor in April 2013, and a full Professor from March 2019. Prior to his position at Swansea, He was a Research Associate at the Computer Vision Group, Department of Computer Science, University of Bristol, where he completed both his PhD (2006) and MSc (2002) degrees.

Professor Xie has strong research interests in the areas of Pattern Recognition and Machine Intelligence and their applications to real-world problems. He has been an investigator on several research projects funded by external bodies, such as EPSRC, Leverhulme, NISCHR, and WORD. Among his research works, those of significant importance include detecting abnormal patterns in complex visual and medical data, assisted diagnosis using automated image analysis, fully automated volumetric image segmentation, registration, and motion analysis, machine understanding of human action, efficient deep learning, and deep learning on irregular domains. By 2020, he has published over 150 fully refereed research publications and (co-)edited several conference proceedings. He is an associate editor of IET Computer Vision and an editorial member of a number of other international journals and has chaired and co-chaired several international conferences, e.g. BMVC2015 and BMVC2019.

Speaker's Bio:

McCann heads up Adaptive Emergent Systems Engineering (AESE) in the Dept of Computing where she works with a highly multi-disciplinary group of Post Docs and PhD students from a broad spectra of backgrounds. She leads the Resilient and Robust Infrastructure challenge part of the Data Centric Engineering theme in the Alan Turing Institute, she is PI for the  NRF funded Singapore Eco Cities initiative, and is Deputy Director of PeTraS and therein leads the Logistics 4.0 project with the Tate Modern, ARM and Ordinance Survey. She is Imperial PI for the EPSRC Science of Sensing Systems Software (S4) programme grant.  Until recently she was the Co-director of the Intel Collaborative Research Institute on Sustainable Connected Cities, the Co-PI of the NEC Smart Water Lab, and Director of the cross-Imperial Smart Connected Futures Network.She has chaired and remains actively involved with the field’s top conferences (including Infocom, Sensys, IPSN, and EWSN) and is an Associated Editor for IoT-J. She currently delivers the Pervasive Computing teaching module and in the past she lectured Operating Systems courses.  She was chair of the Department of Computing Equality and Diversity committee (2018-2021), is a Fellow of the British Computer Society, a Chartered Engineer and consults on computer-based futures for TV and Film.

Speaker's Bio:

Dr Hieu Pham is currently an Assistant Professor of Computer Science at VinUniversity, where he works on Computer Vision, Machine Learning, Artificial Intelligence (AI), and Smart Health Applications. He received my PhD degree in Computer Science at the Toulouse Computer Science Research Institute (IRIT) at The University of Toulouse, France, in 2019. In 2023, He became a Visiting Scholar at the Coordinated Science Laboratory at the University of Illinois Urbana-Champaign (UIUC), USA. Since 2022, he has been serving as the Associate Director of the VinUni-Illinois Smart Health Center (VISHC), which aims to conduct high-impact research on biomedical AI to provide widely accessible health monitoring and improvement for people all over the world. He spent two years as a Research Scientist at Vingroup Big Data Institute, conducting research on Medical Imaging Analysis. In 2015, he spent half a year at the ICA laboratory working on a robotized aeroplane inspection project, called Air-Cobot, led by AKKA Technologies and AIRBUS group. Before that, he did my bachelor's at the Hanoi University of Science and Technology (HUST). His graduate internship was done at the International Research Institute MICA, Hanoi, Vietnam and AGIM laboratory, Université Grenoble Alpes, Grenoble, France. 

Speaker's Bio:

Dr. Thai Mai Thanh is an Assistant Professor of Mechanical Engineering at the College of Engineering and Computer Science, VinUniversity. He received a B.E. degree in Mechatronics Engineering from Ho Chi Minh City University of Technology (HCMUT), Vietnam in 2016 and an M.S. degree in Aerospace Engineering from Korea Advanced Institute of Science and Technology (KAIST), South Korea in 2019. In 2023, he obtained his PhD degree in Biomedical Engineering from the University of New South Wales (UNSW) Sydney, Australia. He was a Vinscholar Cohort 2019 alumnus, and a postdoctoral researcher at UNSW Medical Robotics Lab, UNSW Sydney (February-August 2023). His research focuses on enhancing the human quality of life through robotics, advanced surgical systems, bio-printing, wearable haptics, soft robotics, medical devices, electronic circuit design, soft sensors, and nonlinear control. He has authored or co-authored over 30 papers published in international journals and conference proceedings and has filed three international patents.

Speaker's Bio:

Dr Marco Palombo is currently a UKRI Future Leaders Fellow and Associate Professor (Senior Lecturer) in microstructure imaging at Cardiff University, with a joint appointment between the Cardiff University Brain Research Imaging Centre (CUBRIC) in the School of Psychology, where he co-leads the MicroTeam group, and the School of Computer Science and Informatics, where he co-leads the Medical Image Computing group. He is also a member of the Centre for Artificial Intelligence, Robotics and Human-Machine Systems (IROHMS) at Cardiff University where he co-chairs the "Human-centric AI for Medical Imaging" Working Group; and leads academics in the Interdisciplinary Precision Oncology Cardiff Hub (IPOCH). He is a physicist with expertise in biophysical modelling, machine learning, computational modelling, medical imaging, and data analysis.

Speaker's Bio:

Dr Nhat (Nick) Pham leads the Agile Cyber-Physical Systems lab at the School of Computer Science and Informatics, Cardiff University, UK. He is also a member of larger Cardiff IoT and Human Centred Computing groups. His research interests include Intelligent and Efficient Cyber-Physical Systems, Human-based Sensing, Edge-AI and On-chip Computing. Before joining Cardiff University, he obtained my DPhil (PhD) with his research on intelligent head-worn physiological sensing wearables, fully funded by the University of Oxford DPhil Scholarship. He also worked as a postdoctoral researcher on the EPSRC ACE-OPS project from 2022 to 2023. His research has been recognised by Communication of the ACM Research Highlight 2021, ACM SIGMOBILE Research Highlight 2020, ACM GetMobile'19 Research Highlight, and the Best Paper at ACM MobiCom'19. He helped to spin off a tech startup (Earable Neuroscience Inc) and produced multiple international patents. His group’s work has been featured in several press articles from Bloomberg, BBC News, DailyMail, Euronews, etc. He is the PI of several funded projects from EPSRC Doctoral Training Partnership, Global Wales, Academy of Medical Science, British Academy, the Royal Academy of Engineering and the Royal Society. He is recognised as a GW4 future research leader of the Southwest and Wales.

Speaker's Bio:

Prof Omer Rana is a Professor of Performance Engineering and previously led the Complex Systems research group. His research interests lie in the overlap between intelligent systems and high-performance distributed computing.  He is particularly interested in understanding how intelligent techniques could be used to support resource management in distributed systems, and the use of these techniques in various application areas. He is a Fellow of the Learned Society of Wales and of the Higher Education Academy, a member of the UKRI International Strategic Advisory Group, the Cross-Council Research Director for the UK National Edge AI Hub, and also the Dean of International for the Physical Sciences and Engineering College.