Daniel Goldman

Daniel Goldman
dgoldman3@gatech.edu
The Crab Lab

My research integrates my work in complex fluids and granular media and the biomechanics of locomotion of organisms and robots to address problems in nonequilibrium systems that involve interaction of matter with complex media. For example, how do organisms like lizards, crabs, and cockroaches cope with locomotion on complex terrestrial substrates (e.g. sand, bark, leaves, and grass). I seek to discover how biological locomotion on challenging terrain results from the nonlinear, many degree of freedom interaction of the musculoskeletal and nervous systems of organisms with materials with complex physical behavior. The study of novel biological and physical interactions with complex media can lead to the discovery of principles that govern the physics of the media. My approach is to integrate laboratory and field studies of organism biomechanics with systematic laboratory studies of physics of the substrates, as well as to create mathematical and physical (robot) models of both organism and substrate. Discovery of the principles of locomotion on such materials will enhance robot agility on such substrates

Dunn Family Professor; School of Physics
Director; Complex Rheology And Biomechanics (CRAB) Lab
Phone
404.894.0993
Office
Howey C202
Additional Research
biomechanics; neuromechanics; granular media; robotics; robophysics
University, College, and School/Department
Google Scholar
https://scholar.google.com/citations?hl=en&user=r7wE4M4AAAAJ&view_op=list_works&sortby=pubdate
Profile on GT Physics

Jaydev Desai

Jaydev Desai
jaydev@gatech.edu
Website

Jaydev P. Desai, Ph.D, is currently a Professor and BME Distinguished Faculty Fellow in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech. Prior to joining Georgia Tech in August 2016, he was a Professor in the Department of Mechanical Engineering at the University of Maryland, College Park (UMCP). He completed his undergraduate studies from the Indian Institute of Technology, Bombay, India, in 1993. He received his M.A. in Mathematics in 1997, M.S. and Ph.D. in Mechanical Engineering and Applied Mechanics in 1995 and 1998 respectively, all from the University of Pennsylvania. He was also a Post-Doctoral Fellow in the Division of Engineering and Applied Sciences at Harvard University. He is a recipient of several NIH R01 grants, NSF CAREER award, and was also the lead inventor on the "Outstanding Invention of 2007 in Physical Science Category" at the University of Maryland, College Park. He is also the recipient of the Ralph R. Teetor Educational Award. In 2011, he was an invited speaker at the National Academy of Sciences "Distinctive Voices" seminar series on the topic of "Robot-Assisted Neurosurgery" at the Beckman Center. He was also invited to attend the National Academy of Engineering's 2011 U.S. Frontiers of Engineering Symposium. He has over 150 publications, is the founding Editor-in-Chief of the Journal of Medical Robotics Research, and Editor-in-Chief of the Encyclopedia of Medical Robotics (currently in preparation). His research interests are primarily in the area of image-guided surgical robotics, rehabilitation robotics, cancer diagnosis at the micro-scale, and rehabilitation robotics. He is a Fellow of the ASME and AIMBE.

Professor and Distinguished Faculty Fellow, Wallace H. Coulter Department of Biomedical Engineering
Associate Director, Institute for Robotics and Intelligent Machines
Director, Georgia Center for Medical Robotics
Phone
404.385.5381
Office
UA Whitaker Room 3112
Additional Research
Image-guided surgical robotics, Rehabilitation robotics; Cancer diagnosis at the micro-scale.
Google Scholar
https://scholar.google.com/citations?hl=en&user=hpbQN-AAAAAJ&view_op=list_works&sortby=pubdate
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Mark Borodovsky

Mark Borodovsky
borodovsky@gatech.edu
Website

Dr. Borodovsky and his group develop machine learning algorithms for computational analysis of biological sequences: DNA, RNA and proteins. Our primary focus is on prediction of protein-coding genes and regulatory sites in genomic DNA. Probabilistic models play an important role in the algorithm framework, given the probabilistic nature of biological sequence evolution.

Regents' Professor
Director, Center for Bioinformatics and Computational Genomics
Senior Advisor in Bioinformatics, Division of High Consequence Pathogens and Pathology, Centers for Disease Control and Prevention in Atlanta
Phone
404-894-8432
Office
EBB 2105
Additional Research
Development and applicaton of new machine learning and pattern recognition methods in bioinformatics and biological systems. Development and applicaton of new machine learning and pattern recognition methods in bioinformatics and biological systems. Chromatin; Epigenetics; Bioinformatics
Google Scholar
https://scholar.google.com/citations?user=ciQ3dn0AAAAJ&hl=en&oi=ao
LinkedIn GeneMark

Ghassan AlRegib

Ghassan AlRegib
alregib@gatech.edu
Website

Professor AlRegib is currently a professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He is the director of the Multimedia and Sensors Lab (MSL) at Georgia Tech. In 2012, he was named the director of Georgia Tech’s Center for Energy and Geo Processing (CeGP). He is a faculty member of the Center for Signal and Information Processing (CSIP). He also serves as the director of Georgia Tech’s initiatives and programs in MENA. He has authored and co-authored more than 170 articles in international journals and conference proceedings. He has been issued several U.S. patents and invention disclosures. He is a Senior Member of the IEEE.

Professor AlRegib received the ECE Outstanding Graduate Teaching Award in 2001 and both the CSIP Research and the CSIP Service Awards in 2003. In 2008, he received the ECE Outstanding Junior Faculty Member Award. In 2017, he received the 2017 Denning Faculty Award for Global Engagement.

Professor AlRegib has participated in many service activities. He is an area chair for ICME 2016/17 and the tutorial chair for ICIP 2016. He is a voted member of the IEEE SPS Technical Committees on Multimedia Signal Processing (MMSP) and Image, Video, and Multidimensional Signal Processing (IVMSP). He was a member of the editorial board of the Wireless Networks Journal (WiNET), 2009-2016 and the IEEE Transaction on Circuits and Systems for Video Technology (CSVT), 2014-2016. Currently, he is a member of the the editorial board of the Elsevier journal Signal Processing: Image Communications, 2015-present. He served as the chair of the Special Sessions Program at ICIP’06; the area editor for Columns and Forums in the IEEE Signal Processing Magazine (SPM), 2009–12; the associate editor for IEEE SPM, 2007-09; the tutorials co-chair in ICIP’09; a guest editor for IEEE J-STSP, 2012; a track chair in ICME’11; the co-chair of the IEEE MMTC Interest Group on 3D Rendering, Processing, and Communications, 2010-12; the chair of the Speech and Video Processing Track at Asilomar 2012; and the technical program co-chair of IEEE GlobalSIP, 2014. He is leading a team that is organizing the IEEE VIP Cup, 2017.

His research group, which consists of more than 20 students and researchers, is working on projects related to machine learning, image and video processing, image and video understanding, seismic imaging, perception in visual data processing, healthcare intelligence, and video analytics.

Professor AlRegib has provided services and consultation to several firms, companies, and international educational and R&D organizations. He has been a expert witness in a number of patent infringement cases.

Professor
Center Director
Phone
404-894-7005
Office
Centergy-One Room 5224
Additional Research
Computational Ophthalmology, Machine Learning, Image/Video Processing, Computer Vision, Perception, Scene Understanding, Seismic Interpretation, Learning in the Wild, Learning for Autonomous Vehicles, Medical Image Analysis, Geosystems
Google Scholar
https://scholar.google.com/citations?hl=en&user=7k5QSdoAAAAJ&view_op=list_works
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