This biographical article is written like a résumé .(August 2022) |
Dinesh Manocha | |
---|---|
Alma mater | IIT Delhi University of California, Berkeley |
Awards | Fellow of the ACM Sloan Fellow UNC Hettleman Prize |
Scientific career | |
Fields | Computer scientist |
Institutions | University of North Carolina at Chapel Hill University of Maryland, College Park |
Doctoral advisor | John F. Canny |
Dinesh Manocha is an Indian-American computer scientist and the Paul Chrisman Iribe Professor of Computer Science at University of Maryland College Park, [1] formerly at University of North Carolina at Chapel Hill. His research interests are in scientific computation, robotics, self-driving cars, affective computing, virtual and augmented reality and 3D computer graphics.
Dinesh Manocha is currently a Paul Chrisman Iribe Professor Professor of computer science at the University of Maryland, College Park. He received his B.Tech. degree in computer science and engineering from the Indian Institute of Technology, Delhi in 1987; M.S. and Ph.D. in computer science at the University of California at Berkeley in 1990 and 1992, respectively. [2]
Manocha has supervised more than 45 MS and Ph.D. students.[ citation needed ] He is married to his frequent collaborator and UMD faculty colleague, Ming C. Lin. [3]
Manocha's research interests include geometric computing, interactive computer graphics, physics-based simulation and robotics. He has published more than 280 papers in these areas.[ citation needed ]
Manocha has received more than 11 best paper and panel awards at the ACM SuperComputing, ACM Multimedia, ACM Solid Modeling, Pacific Graphics, IEEE VR, IEEE Visualization, ACM SIGMOD, ACM VRST, CAD, I/ITSEC and Eurographics Conferences. He was selected as an ACM Fellow in 2009 "for contributions to geometric computing and applications to computer graphics, robotics and GPU computing", [4] [5] and is also an AAAS Fellow [6] and AAAI Fellow. [7]
Jack Minker was a leading authority in artificial intelligence, deductive databases, logic programming and non-monotonic reasoning. He was also an internationally recognized leader in the field of human rights of computer scientists. He was an Emeritus Professor in the University of Maryland Department of Computer Science, which is part of the College of Computer, Mathematical, and Natural Sciences.
Henry Fuchs is a fellow of the American Academy of Arts and Sciences (AAAS) and the Association for Computing Machinery (ACM) and the Federico Gil Professor of Computer Science at the University of North Carolina at Chapel Hill (UNC). He is also an adjunct professor in biomedical engineering.
Ayanna MacCalla Howard is an American roboticist, entrepreneur and educator currently serving as the dean of the College of Engineering at Ohio State University. Assuming the post in March 2021, Howard became the first woman to lead the Ohio State College of Engineering.
Manuela Maria Veloso is the Head of J.P. Morgan AI Research & Herbert A. Simon University Professor Emeritus in the School of Computer Science at Carnegie Mellon University, where she was previously Head of the Machine Learning Department. She served as president of Association for the Advancement of Artificial Intelligence (AAAI) until 2014, and the co-founder and a Past President of the RoboCup Federation. She is a fellow of AAAI, Institute of Electrical and Electronics Engineers (IEEE), American Association for the Advancement of Science (AAAS), and Association for Computing Machinery (ACM). She is an international expert in artificial intelligence and robotics.
Victor R. Basili, is an emeritus professor at the Department of Computer Science, which is part of the University of Maryland College of Computer, Mathematical, and Natural Sciences, and the Institute for Advanced Computer Studies. He holds a Ph.D. in computer science from the University of Texas at Austin and two honorary degrees. He is a fellow of both the Association for Computing Machinery (ACM) and of the Institute of Electrical and Electronics Engineers (IEEE).
Dana S. Nau is a Professor of Computer Science and Systems Research at the University of Maryland Department of Computer Science in College Park, where he has done research in automated planning and scheduling, game theory, cognitive science, and computer-aided engineering. He has many PHD students, including Qiang Yang who graduated in 1989. He has more than 300 publications and several best-paper awards. Some of his accomplishments include the discovery of game tree pathology, the development of the SHOP and SHOP2 HTN planning systems, and the book Automated Planning: Theory and Practice (ISBN 1-55860-856-7). He is a Fellow of the AAAI and in 2022 he was elected as a Fellow of the AAAS.
Ming C. Lin is an American computer scientist and a former chair of the Department of Computer Science at the University of Maryland, College Park, where she also holds an endowed faculty position as the Elizabeth Stevinson Iribe Chair of Computer Science. Prior to moving to Maryland in 2018, Lin was the John R. & Louise S. Parker Distinguished Professor of Computer Science at the University of North Carolina at Chapel Hill.
Lydia E. Kavraki is a Greek-American computer scientist, the Noah Harding Professor of Computer Science, a professor of bioengineering, electrical and computer engineering, and mechanical engineering at Rice University. She is also the director of the Ken Kennedy Institute at Rice University. She is known for her work on robotics/AI and bioinformatics/computational biology and in particular for the probabilistic roadmap method for robot motion planning and biomolecular configuration analysis.
Lise Getoor is a professor in the computer science department, at the University of California, Santa Cruz, and an adjunct professor in the Computer Science Department at the University of Maryland, College Park. Her primary research interests are in machine learning and reasoning with uncertainty, applied to graphs and structured data. She also works in data integration, social network analysis and visual analytics. She has edited a book on Statistical relational learning that is a main reference in this domain. She has published many highly cited papers in academic journals and conference proceedings. She has also served as action editor for the Machine Learning Journal, JAIR associate editor, and TKDD associate editor.
Qiang Yang is the Chair Professor, Department Head of CSE, HKUST in Hong Kong and University New Bright Professor of Engineering and Chair Professor from 2015. He was the founding head of Noah's Ark Lab. He had taught at the University of Waterloo and Simon Fraser University. His research interests are data mining and artificial intelligence.
Samir Khuller is a professor of Computer Science and the Peter and Adrienne Barris Chair of Computer Science at Northwestern University. He was previously Professor and Elizabeth Stevinson Iribe Chair of Computer Science in the University of Maryland's Department of Computer Science. His research is in the area of algorithm design, specifically on combinatorial optimization, graphs and networks and scheduling.
Nancy Marie Amato is an American computer scientist noted for her research on the algorithmic foundations of motion planning, computational biology, computational geometry and parallel computing. Amato is the Abel Bliss Professor of Engineering and Head of the Department of Computer Science at the University of Illinois at Urbana-Champaign. Amato is noted for her leadership in broadening participation in computing, and is currently a member of the steering committee of CRA-WP, of which she has been a member of the board since 2000.
Henry A. Kautz is a computer scientist, Founding Director of Institute for Data Science and Professor at University of Rochester. He is interested in knowledge representation, artificial intelligence, data science and pervasive computing.
Maria Gini is an Italian and American Computer Scientist in artificial intelligence and robotics. She has considerable service to the computer science artificial intelligence community and for broadening participation in computing. She was Chair of the ACM Special Interest Group in Artificial Intelligence SIGAI from 2003 to 2010. She is currently a member of the CRA-W board.
Larry S. Davis is an American computer scientist and professor emeritus at the University of Maryland, College Park. He currently works as a Senior Principal Scientist at Amazon. Davis is best known for his research in the field of computer vision.
Ashok Agrawala is Professor in the Department of Computer Science at University of Maryland at College Park and Director of the Maryland Information and Network Dynamics (MIND) Lab. He is the author of seven books and over two hundred peer-reviewed publications. Glenn Ricart and Ashok Agrawala developed the Ricart-Agrawala Algorithm. The Ricart-Agrawala Algorithm is an algorithm for mutual exclusion on a distributed system. This algorithm is an extension and optimization of Lamport's Distributed Mutual Exclusion Algorithm.
Amitabh Varshney is an Indian-born American computer scientist. He is an IEEE fellow, and serves as Dean of the University of Maryland College of Computer, Mathematical, and Natural Sciences. Before being named Dean, Varshney was the director of the University of Maryland Institute for Advanced Computer Studies (UMIACS) from 2010 to 2018.
Niklas Elmqvist is a Swedish-American computer scientist. He is currently a professor in the Department of Computer Science at Aarhus University, and a Villium Investigator. He is the Director of the Center for Anytime Anywhere Analytics at Aarhus University, a research center on augmented reality and extended reality (AR/XR) for data visualization.
Ramalingam "Rama" Chellappa is a Bloomberg Distinguished Professor, who works at Johns Hopkins University. At Johns Hopkins University, he is a member of the Center for Language and Speech Processing, the Center for Imaging Science, the Institute for Assured Autonomy, and the Mathematical Institute for Data Sciences. He joined Johns Hopkins University after 29 years at The University of Maryland. Before that, he was an assistant, associate professor, and later, director, of the University of Southern California's Signal and Image Processing institute.
Computing in Science & Engineering (CiSE) is a bimonthly technical magazine published by the IEEE Computer Society. It was founded in 1999 from the merger of two publications: Computational Science & Engineering (CS&E) and Computers in Physics (CIP), the first published by IEEE and the second by the American Institute of Physics (AIP). The founding editor-in-chief was George Cybenko, known for proving one of the first versions of the universal approximation theorem of neural networks.