SCIENTIFIC ADVISORS
Vipin Chaudhary
Scientific Advisor
Vipin Chaudhary is an Associate Professor of Computer Science and Engineering and the New York State Center of Excellence in Bioinformatics and Life Sciences at University at Buffalo, SUNY. Earlier, he spent several years at Wayne State University where he was the Director of Institute for Scientific Computing and Associate Professor of Computer Science, Electrical and Computer Engineering, and Biomedical Engineering. He currently maintains an adjunct position at Wayne State University in the Department of Neurological Surgery.
In 2005, he founded Micass LLC that is focused on Computer Assisted Surgery Systems. Earlier he was the Senior Director of Advanced Development at Cradle Technologies, Inc. where he was responsible for advanced programming tools and architecture for multi-processor chips. From January 2000 to February 2001, he was with Corio, Inc. where he has held various technical and senior management positions, finally as the Chief Architect. He was responsible for the design and development of the Corio Intelligent Infrastructure. Corio had a successful IPO in June 2000 and was bought by IBM in 2005. In addition, he is on advisory boards of several startup companies.
Vipin received the B.Tech. (Hons.) degree in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur, in 1986, the MS degree in Computer Science, and the Ph.D. degree in Electrical and Computer Engineering from The University of Texas at Austin, in 1989 and 1992, respectively.
His current research interests are in the area of Computer Assisted Diagnosis and Interventions; Medical Image Processing; Grid and High Performance Computing and its applications in Computational Biology and Medicine; Embedded Systems Architecture and Applications; and Sensor Networks and Pervasive Computing.
Vipin has been the principal or co-principal investigator on some $10 million in research projects from government agencies and industry and has published over 100 papers. He was awarded the prestigious President of India Gold Medal in 1986 for securing the first rank amongst graduating students in IIT.
Dr. Suryaprakash Kompalli
Scientific Advisor
A research fellow in the computer aided diagnosis and interventions group at Wayne State University, he received a Bachelors in Computer Science and Engineering (2001) from Mumbai University, India, and MS (2003) and PhD (2007) in Computer Science from the University at Buffalo, SUNY. His doctoral thesis describes novel graph-based recognition techniques, and language models, and designs a stochastic, multi-font Devanagari OCR. His research interests mainly include Computer Vision, Image Processing, and Pattern Recognition, and he has contributed to several new applications and peer-reviewed articles in these domains.
Research projects include optical character recognition, handwriting recognition, and medical image analysis.
Before joining WSU, he worked at NCST (Mumbai, India), CEDAR (Buffalo, NY), NIH (Bethesda, MD), Hewlett Packard Labs (Bangalore, India), and Microsoft Research (Redmond, WA).
Mohammad Yaqub
Scientific Advisor
A PhD student in the University at Buffalo (SUNY) and native of Amman, Jordan, he obtained BSc and MSc degrees in Computer Science from the University of Jordan. He is a hard worker and has good experience in teaching, programming and building research applications. He worked as a full time teaching assistant in the University of Jordan for two years and currently works as research assistant under the supervision of Dr. Vipin Chuadhary. He has been one of the research groups who built CASMIL and he is currently the main responsible for the whole system.
His research interests are Medical Image Processing, Computer Vision, Watermarking, Steganography, and Finite Element Method (FEM). His Master thesis topic was in reversible watermarking which can be applied in content authentication domains. In his PhD, he mainly works on brain imaging and he focuses on the problem of brain shift. He is trying to come up with a real time statistical and biomechanical technique with aid of intraoperative data to handle brain deformation.
