Prof. Chandrajit Bajaj, IEEE Fellow, AAAS Fellow, ACM Fellow
Computational Applied Mathematics Chair in Visualization,
Director of Center for Computational Visualization,
The University of Texas at Austin, USA

Biography: Chandrajit L. Bajaj earned his Ph.D. in computer science from Cornell University. He is director of the Computational Visualization Center at the Oden Institute for Computational Engineering & Sciences at UT Austin, professor of computer sciences and holds the Computational Applied Mathematics Chair in Visualization. He is also an affiliate faculty member of the departments of mathematics, electrical and computer engineering, biomedical engineering, the Center for Perceptual Systems, the Institute for Cellular and Molecular Biology, and the Center for Learning and Memory.

His research interests span the algorithmic and computational mathematics underpinnings of image processing, geometric modeling, computer graphics, visualization, structural biology and bioinformatics. He applies these algorithms to: (a) structure elucidation and reconstruction of spatially realistic models of molecules, organelles, cells, tissues, and organs, from electron microscopy, and bio-imaging, (b) fast high-dimensional search/scoring engines for identifying energetically favorable molecular binding conformations (e.g. virtual screening for anti-viral
drugs), and (c) integrated approaches to computational modeling, mathematical analysis and interrogative visualization of the dynamics of electrical signaling and oscillations (3–10 Hz) among neurons in the hippocampus (the central area of learning and memory in the human brain).

Bajaj is an author and editor of over 300 publications, including 225 papers, 25 book chapters, one book, and three edited volumes. He serves on the editorial boards of four scientific journals, including the “Society for Industrial and Applied Mathematics Journal on Imaging Sciences” and “American Computing Machinery Computing Surveys”, as well as on the editorial advisory board of the Chapman and Hall ICRC Mathematical and Computational Imaging Sciences Series, and the Elsevier “Journal on Graphical Models.” He is a member of the advisory committee of the National Institutes of Health National Center for Research Resources National Biomedical Computation Resource, and past panel member of the National Academy of Sciences, Vietnam Education Foundation, and a member of the center director chair search committee for the King Abdullah University of Science and Technology (KAUST). He was recently elected chairperson of the National Institutes of Health Molecular Structure and Function Study Section D.

For his research and academic contributions, he was elected a fellow of the Association for Computing Machinery, and the American Association for the Advancement of Sciences.

IEEE Fellow, Prof. Rajkumar Buyya, The University of Melbourne, Australia

Biography: Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored over 650 publications and seven text books including "Mastering Cloud Computing" published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets respectively. Dr. Buyya is one of the highly cited authors in computer science and software engineering worldwide (h-index=127, g-index=280, 85,000+ citations).  "A Scientometric Analysis of Cloud Computing Literature" by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most-Productive (#1) Author in Cloud Computing. He is named in the recent Clarivate Analytics’ (formerly Thomson Reuters) Highly Cited Researchers and “World's Most Influential Scientific Minds” for three consecutive years since 2016. Dr. Buyya is recognized as Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award by Elsevier and recently received "Lifetime Achievement Awards" from two Indian universities for his outstanding contributions to Cloud computing and distributed systems.

Software technologies for Grid, Cloud, and Fog computing developed under Dr.Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 40 countries around the world. Dr. Buyya has led the establishment and development of key community activities, including serving as foundation Chair of the IEEE Technical Committee on Scalable Computing and five IEEE/ACM conferences. These contributions and international research leadership of Dr. Buyya are recognized through the award of "2009 IEEE Medal for Excellence in Scalable Computing" from the IEEE Computer Society TCSC. Manjrasoft's Aneka Cloud technology developed under his leadership has received "Frost & Sullivan New Product Innovation Award". He served as founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Editor-in-Chief of Software: Practice and Experience, a long standing journal in the field established ~50 years ago. For further information on Dr. Buyya, please visit his cyberhome:


Prof. Mohammed Bennamoun, The University of Western Australia, Australia

Biography: Mohammed Bennamoun received his M.Sc. from Queen's University , Kingston, Canada in the area of Control Theory, and his PhD from Queen's /Q.U.T in Brisbane, Australia in the area of Computer Vision. He lectured Robotics at Queen's, and then joined QUT in 1993 as an Associate Lecturer. He is currently a Winthrop Professor. He served as the Head of the School of Computer Science and Software Engineering at The University of Western Australia (UWA) for five years (February 2007-March 2012). He served as the Director of a University Centre at QUT: The Space Centre for Satellite Navigation from 1998-2002.

He served as a member of the Australian Research Council (ARC) College of Experts from 2013-2015. He was an Erasmus Mundus Scholar and Visiting Professor in 2006 at the University of Edinburgh. He was also Visiting Professor at CNRS (Centre National de la Recherche Scientifique) and Telecom Lille1, France in 2009, The Helsinki University of Technology in 2006, and The University of Bourgogne and Paris 13 in France in 2002-2003. He is the co-author of the book. Object Recognition: Fundamentals and Case Studies", Springer-Verlag, 2001, and the co-author of an Edited book on .Ontology Learning and Knowledge Discovery Using the Web", published in 2011.

He published close to 100 journal papers and 250 conference papers, and secured highly competitive national grants from the ARC, government and other funding bodies. Some of these grants were in collaboration with Industry partners (through the ARC Linkage Project scheme) to solve real research problems for industry, including Swimming Australia, the West Australian Institute of Sport, a textile company (Beaulieu Pacific), and AAM-GeoScan. He worked on research problems and collaborated (through joint publications, grants and supervision of PhD students) with researchers from different disciplines including Animal Biology, Speech Processing, Biomechanics, Ophthalmology, Dentistry, Linguistics, Robotics, Photogrammetry, and Radiology. He collaborated with researchers from within Australia (e.g. CSIRO), as well as Internationally (e.g. Germany, France, Finland, USA). He won several awards, including the Best Supervisor of the Year Award at QUT in 1998, an award for teaching excellence (research supervision), and the Vice-Chancellor’s Award for Research Mentorship in 2016. He also received an award for research supervision at UWA in 2008.

He served as a guest editor for a couple of special issues in International journals, such as the International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI). He was selected to give conference tutorials at the European Conference on Computer Vision (ECCV), the International Conference on Acoustics Speech and Signal Processing (IEEE ICASSP), the IEEE International Conference on Computer Vision (CVPR 2016), and a course at the International Summer School on Deep Learning (DeepLearn2017). He organized several special sessions for conferences; including a special session for the IEEE International Conference in Image Processing (IEEE ICIP). He was on the program committee of many conferences e.g. 3D Digital Imaging and Modeling (3DIM) and the International Conference on Computer Vision. He also contributed in the organisation of many local and international conferences. His areas of interest include control theory, robotics, obstacle avoidance, object recognition, artificial neural networks, signal/image processing and computer vision (particularly 3D).