Wendy Hall, DBE, FRS, FREng, is Professor of Computer Science in Electronics and Computer Science, University of Southampton, and is a Director of the Web Science Institute. She was Head of the School of Electronics and Computer Science (ECS) from 2002 to 2007, and was Dean of the Faculty of Physical Sciences and Engineering from 2010 to 2014.
One of the first computer scientists to undertake serious research in multimedia and hypermedia, she has been at its forefront ever since. The influence of her work has been significant in many areas including digital libraries, the development of the Semantic Web, and the emerging research discipline of Web Science.
She is Managing Director of the Web Science Trust.
She became a Dame Commander of the British Empire in the 2009 UK New Year's Honours list, and was elected a Fellow of the Royal Society in June 2009.
She was elected President of the Association for Computing Machinery (ACM) in July 2008, and was the first person from outside North America to hold this position.
Until July 2008, she was Senior Vice President of the Royal Academy of Engineering, was a member of the UK Prime Minister's Council for Science and Technology, and was a founder member of the Scientific Council of the European Research Council. She was President of the British Computer Society from 2003 to 2004 and an EPSRC Senior Research Fellow from 1996 to 2002.
Distinguished Professor of Computer Science, Université d'Angers (France); Senior Fellow of the French "Institut Universitaire de France", Working on computational methods for large scale and complex combinatorial optimization problems.
Professor of Toxicology (Chair for Evidence-based Toxicology), Pharmacology, Molecular Microbiology and Immunology at Johns Hopkins Bloomberg School of Public Health, Baltimore, and University of Konstanz, Germany; Director of their Centers for Alternatives to Animal Testing (CAAT). Former Head of the European Center for the Validation of Alternative Methods (ECVAM), Ispra, Italy.
Director of the Institute for Data Exploration and Applications and the Tetherless World Professor of Computer, Web and Cognitive Sciences at RPI. He is a Fellow of the AAAI, the BCS, the IEEE and the AAAS. He is the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA) , and was the first computer scientist to serve on the Board of Reviewing editors for Science.
Hongfei Hou, a senior scientist at Pacific Northwest National Laboratory, has attained a Ph.D. in Computer Science from Washington State University. His research area includes cloud computing and machine learning.
Falk grew up in Germany, got a M.Sc. in Forestry from Universities, Goettingen, Freiburg and Munich with a thesis at NISK/Norway on digital image processing of trees affected by acid rain. He then worked at the EU with a Robert Schuman Scholarship of the European Parliament in Luxemburg, and with a NGO in Bruxelles. In 2001 he got a PhD from the ACWERN at the University of New Brunswick (UNB) in Eastern Canada on pelagic seabirds, Geographic Information Systems (GIS) and data. His postdoc was with the Center of Wildlife Ecology at Simon Fraser University in Vancouver about Marbled Murrelets. He then got a Killam Scholarship with the University of Calgary working on Grizzly Bear habitat future models in the Rocky Mountains.
In 2002 he became a Professor of Wildlife Ecology in his EWHALE lab with the University of Alaska-Fairbanks. Falk works with his students world-wide on landscapes, oceans and the atmosphere focusing on the conservation of biodiversity and habitats. He has over 350 publications, including 9 books and many Open Access datasets and metadata on over 2000 species
Dr. H.J. Huisman received his Ph.D. in quantitative medical ultrasound in 1998 at the Radboud University Medical Center, Nijmegen, The Netherlands. He continued his research in quantitative MR and ultrasound in breast and prostate resulting in several publications, clinical applications and a patent on a Pharmacokinetic DCEMR processing. He started a research group in 2004 on Computer Aided Diagnosis and Intervention of prostate cancer focussing on computerized support systems for interpretation of multiparametric MR and MRL as well as image guided biopsy and intervention. Since June 2017 he is an Associate Professor in Pelvic Imaging Biomarkers. He has published over 100 papers and book chapters and has co-organized several workshops/challenges on prostate MR image analysis.
Eyke Hüllermeier is a full professor in the Department of Computer Science at the University of Paderborn, Germany, where he heads the Intelligent Systems group. He studied mathematics and business computing, received his PhD in computer science from the University of Paderborn in 1997, and a Habilitation degree in 2002. Prior to returning to Paderborn in 2014, he held professorships at the Universities of Dortmund, Magdeburg and Marburg.
Dr. Hum Yan Chai is a researcher in artificial intelligence and computer vision. He received his B.Eng degree in biomedical engineering from the Universiti Teknologi Malaysia (UTM). He is currently serving as an Assistant Professor in the Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman.
Martina Iammarino is a Tenured Assistant Professor at the Department of Computer Science and Technologies at Pegaso University in Naples.
She holds a Laurea degree in Computer Engineering in 2019 and a PhD degree in Information Technology for Engineering from the University of Sannio in 2023.
Her research focuses on software engineering, data quality, and process engineering, with a growing emphasis on artificial intelligence. Specifically, her work in AI has been pivotal in addressing challenges in the medical field, with a special interest in Parkinson's disease. Through the application of machine learning and deep learning techniques, her research has advanced understanding and innovation in diagnosing, monitoring, and managing this neurodegenerative disorder.
She has published extensively on AI methodologies applied in various domains and has contributed to the AI and healthcare research community as a reviewer for several international conferences and journals.
In addition to serving on the program committee of several international conferences, Martina Iammarino is an Editorial Board Member for the journal Peerj, and is also one of the main organizers of the CISE Workshop "Computational Intelligence and Software Engineering" held at PROFES 2023.
I am a researcher in wearable medical devices working on creating new technologies for the monitoring and diagnosis if neurological, neurodevelopmental and sleep disorders. My research focuses on developing new biomedical signal processing methods, algorithms and mixed-signal circuit design for wearable systems, low power digital circuits for medical applications and embedded systems design. I am a Research Fellow at Imperial College London where I am developing new technologies for long-term monitoring, management and diagnosis of COPD, sleep disorders, epilepsy, and autism. I am also the Head of Engineering at Acurable leading development and at-scale manufacturing of a wearable medical device and its accompanying smartphone applications for the diagnosis of respiratory disorders.
Dr Biju Issac is a Computer Science academic staff working at Northumbria University, UK. He has done PhD in Networking and Mobile Communications, MCA (Master of Computer Applications) and BE (Electronics and Communications Engineering). He is a Chartered Engineer (CEng), Senior IEEE member and Fellow of HEA. His research interests are in Wireless Networks, Cybersecurity, AI/Machine Learning applications (security, image processing, text mining etc) and Bio-inspired metaheuristic algorithms. His personal research website: https://www.bijuissac.com/