IEEE ISBI 2022

Keynote Speakers

  • Ronald Summers
    Affiliation:

    National Institutes of Health, USA

    Title

    Challenges and Opportunities for AI in Abdominal Radiology

    Biography

    Ronald M. Summers, M.D., Ph.D. is a tenured Senior Investigator and Staff Radiologist in the Radiology and Imaging Sciences Department at the NIH Clinical Center in Bethesda, MD. He is a Fellow of the Society of Abdominal Radiologists and of the American Institute for Medical and Biological Engineering. His awards include the Presidential Early Career Award for Scientists and Engineers, the NIH Director’s Award, and the NIH Clinical Center Director’s Award. He is a member of the editorial boards of the Journal of Medical Imaging, Radiology: Artificial Intelligence and Academic Radiology and a past member of the editorial board of Radiology. He was Co-Chair of the 2018 and 2019 SPIE Medical Imaging conferences and Program Co-Chair of the 2018 IEEE ISBI symposium. He has co-authored over 500 journal, review and conference proceedings articles and is a co-inventor on 14 patents. His research interests include abdominal imaging, large radiology image databases, and artificial intelligence.

  • Rakesh Mullick
    Affiliation:

    GE Healthcare, India

    Title

    Enabling Precision AI in Healthcare: An Industry Perspective

    Biography

    Rakesh Mullick is the Chief Scientist in the Advanced Technology Group, Edison AI, as part of GE Healthcare Digital Platform and Solutions. As AI methods make deepening inroads into the healthcare eco-system, Rakesh leads the way working closely with GE Healthcare Advanced Technology Strategy & Product teams to co-create analytics solutions for numerous problems enabling autonomous multi-modal and upstream AI solutions for clinical decision support, image synthesis, signal analysis, quantitative imaging, and accelerated workflows supporting the vision of precision health.

    Rakesh has filed over 50 patents, an author on over 120 Journal and Conference Papers, recipient of multiple awards in GE, and an invited speaker to multiple forums. He is a Six Sigma Black Belt and certified TRIZ practitioner. Prior to joining GE, Rakesh was a Research Fellow at the Diagnostic Radiology Department, Clinical Center, National Institutes of Health (NIH) (1999-2000) and Senior Scientist at the Center for Information enhanced Medicine (CieMed), a Joint Research Collaboration between National University of Singapore, Johns Hopkins University, NIH and Intel Corporation. Rakesh obtained his Ph.D. from the Graphics, Visualization and Usability (GVU) Center at Georgia Institute of Technology, Atlanta, GA, USA and his B.S. in Electrical Engineering from the University of Rochester, NY, USA.

  • Gary Egan
    Affiliation:

    Monash University, Australia

    Title

    Mapping and modelling simultaneous measures of brain function and metabolism

    Biography

    Gary Egan is Distinguished Professor and Foundation Director of the Monash Biomedical Imaging (MBI) research facilities at Monash University and Director of the ARC Centre of Excellence for Integrative Brain Function. He is one of Australia’s pioneering and internationally recognised neuroimaging and neuroscience researchers, using PET and MRI in human and animal model neuroscience research, as well as establishing the emerging field of neuroinformatics in Australia.

    He is a highly accomplished researcher, academic and discipline leader in Magnetic Resonance Imaging technology and neurosciences and is a member of international organisations in these fields. He has demonstrated sustained international leadership in the neuroimaging research community and is currently deputy chair of the Governing Board of the International Neuroinformatics Coordinating Facility, Stockholm.

    Gary leads the development and application of simultaneous MR and PET brain imaging research to investigate the relationship between metabolic and functional neural activity. His group is in the forefront of the development and application of artificial intelligence in medical imaging. He leads the development of MR biomarkers for use in clinical drug trials in neurodegenerative diseases, including Huntington’s disease and Friedreich’s ataxia.

    Throughout his career Gary has been awarded research grants worth in excess of $75 million, achieved a substantive body of published work in neuro- and biomedical imaging with more than 320 publications and 21,000 citations, and has a h-index of 83.

  • Daniel Alexander
    Affiliation:

    University College London, UK

    Title

    Model-based imaging and image-based modelling

    Biography

    Daniel Alexander is the Director of the UCL Centre for Medical Image Computing (CMIC) at University College London (UCL) and Professor of Imaging Science in UCL’s Department of Computer Science. His expertise is in computational modelling, machine learning, imaging and image analysis. He has a BA in Mathematics from the University of Oxford (1993), an MSc in Computer Science from UCL (1994), and a PhD in Computer Science from UCL (1998). He has worked as a post-doc at the University of Pennsylvania until 2000 when he returned to London to take up an academic position. He became full professor in 2009, Director of CMIC in 2015, and senior fellow of the ISMRM in 2017.

  • Yonina Eldar
    Affiliation:

    Weizmann Institute of Science, Israel

    Title

    Imaging: From compressed sensing to model-based deep learning

    Biography

    Yonina Eldar is a Professor in the Department of Mathematics and Computer Science, Weizmann Institute of Science, Rehovot, Israel, where the heads the center for biomedical engineering. She was previously a Professor in the Department of Electrical Engineering at the Technion, where she held the Edwards Chair in Engineering. She is also a Visiting Professor at MIT, a Visiting Scientist at the Broad Institute, and an Adjunct Professor at Duke University and was a Visiting Professor at Stanford. She received the B.Sc. degree in physics and the B.Sc. degree in electrical engineering both from Tel-Aviv University (TAU), Tel-Aviv, Israel, in 1995 and 1996, respectively, and the Ph.D. degree in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT), Cambridge, in 2002. She is a member of the Israel Academy of Sciences and Humanities, an IEEE Fellow and a EURASIP Fellow. She has received many awards for excellence in research and teaching, including the IEEE Signal Processing Society Technical Achievement Award (2013), the IEEE/AESS Fred Nathanson Memorial Radar Award (2014) and the IEEE Kiyo Tomiyasu Award (2016). She was a Horev Fellow of the Leaders in Science and Technology program at the Technion and an Alon Fellow. She received the Michael Bruno Memorial Award from the Rothschild Foundation, the Weizmann Prize for Exact Sciences, the Wolf Foundation Krill Prize for Excellence in Scientific Research, the Henry Taub Prize for Excellence in Research (twice), the Hershel Rich Innovation Award (three times), the Award for Women with Distinguished Contributions, the Andre and Bella Meyer Lectureship, the Career Development Chair at the Technion, the Muriel & David Jacknow Award for Excellence in Teaching, and the Technion’s Award for Excellence in Teaching (two times). She received several best paper awards and best demo awards together with her research students and colleagues, was selected as one of the 50 most influential women in Israel, and was a member of the Israel Committee for Higher Education. She is the Editor in Chief of Foundations and Trends in Signal Processing and a member of several IEEE Technical Committees and Award Committees.

  • Sushmita Mitra
    Affiliation:

    Indian Statistical Institute Kolkata, India

    Title

    Intelligent Biomedical Image Analysis

    Biography

    Sushmita Mitra is a full professor at the Machine Intelligence Unit (MIU), Indian Statistical Institute, Kolkata. From 1992 to 1994 she was in the RWTH, Aachen, Germany as a DAAD Fellow. She was a Visiting Professor in the Computer Science Departments of the University of Alberta, Edmonton, Canada; Meiji University, Japan; and Aalborg University Esbjerg, Denmark. Dr. Mitra received the National Talent Search Scholarship (1978-1983) from NCERT, India, the University Gold Medal in 1988, the IEEE TNN Outstanding Paper Award in 1994 for her pioneering work in neuro-fuzzy computing, the CIMPA-INRIA-UNESCO Fellowship in 1996, and Fulbright-Nehru Senior Research Fellowship in 2018-2020. She was the INAE Chair Professor during 2018-2020. Dr. Mitra has been awarded the prestigious J. C. Bose National Fellowship, 2021.

    Dr. Mitra is the author of the books “Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing” and “Data Mining: Multimedia, Soft Computing, and Bioinformatics” published by John Wiley, and “Introduction to Machine Learning and Bioinformatics”, Chapman & Hall/CRC Press, beside a host of other edited books. Dr. Mitra has guest edited special issues of several journals, is an Associate Editor of “IEEE/ACM Trans. on Computational Biology and Bioinformatics”, “Information Sciences”, “Neurocomputing”, “Fundamenta Informatica”, “Computers in Biology and Medicine”, SN Computer Sciences and is a Founding Associate Editor of “Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (WIRE DMKD)”. She has more than 150 research publications in referred international journals. According to the Stanford List, Dr. Mitra is ranked among the top 2% scientists worldwide in the domain of Artificial Intelligence and Image Processing.

    Dr. Mitra is a Fellow of the IEEE, The World Academy of Sciences (TWAS), Indian National Science Academy (INSA), International Association for Pattern Recognition (IAPR), and Fellow of the Indian National Academy of Engineering (INAE) and The National Academy of Sciences, India (NASI). She is an IEEE CIS Distinguished Lecturer, Member of Inter-Academy Panel Panel for Women in STEMM, and the current Chair, IEEE Kolkata Section. She has visited more than 30 countries as a Plenary/Invited Speaker or an academic visitor. She served in the capacity of Program Chair, Tutorial Chair, and as member of programme committees of many international conferences. Her current research interests include data science, pattern recognition, soft computing, medical image processing, and Bioinformatics.

  • Nadia Nedjah
    Affiliation:

    State University of Rio de Janeiro, Brazil

    Title

    Swarm Robotics in Medical Applications

    Biography

    Prof. Nadia Nedjah graduated in 1987 in Systems Engineering and Computation and in 1990 obtained an M.Sc. degree also in Systems Engineering and Computation. Both degree were obtained form University of Annaba, Algeria. Since 1997 she holds a Ph.D. degree from University of Manchester – Institute of Science and Technology, UK. She joined the Department of Electronics Engineering and Telecommunications of the Engineering Faculty of the State University of Rio de Janeiro as an Associate Professor. Between 2009 and 2013, she was the head of the Intelligent System research area in the Electronics Engineering Post-graduate program of the State University of Rio de Janeiro, Brazil. She is the founder and the Editor-in-Chief of the International Journals of High Performance System Architecture and of Innovative Computing Applications, both published by Inderscience, UK. She published three authored books about Functional and Re-writing Languages, Hardware/Software Co-design for Systems Acceleration and Hardware for soft Computing vs. Soft Computing for Hardware. She (co)-guest edited more than 20 special issues for high impact journals and more than 45 organized books on computational intelligence related topics, such as Evolvable Machines, Genetic Systems Programming, Evolutionary Machine Design: Methodologies and Applications and Real-World Multi-Objective System Engineering. She (co)- authored more than 120 journal papers and more than 200 conference papers. She is Associate Editor of more than 10 international journals, such as the Francis & Taylor’s International Journal of Electronics, Elsevier’s Integration, The VLSI Journal and Microprocessors and Microsystems and IET’s Computer & Digital Techniques. She organized several major conferences related to computational intelligence, such as the 7 th edition of Intelligent Systems Design and Application and the 5th edition of Hybrid Intelligent Systems. She also was one of the founder of the International Conference on Adaptive and Intelligent Systems. (More details can be found at her homepage: http://www.eng.uerj.br/~nadia/english.html.)