Here is the list of the top 10 AI professors who help their students excel in technology.
Artificial intelligenceand other disruptive technologies likemachine learning,natural language processing, data analytics, cloud computing, etc. are created by humans to make life easier. They are mostly human-based, which means they resemble or work like us. The trigger behind all the technological developments inartificial intelligence advances and influences speech recognition, visual perception, language identification, decision making, etc. Further, the efforts are turned to machines that we use in our daily life. To scholar disruptive technologies, aspirants need clear people who can provide guidance and help them achieve their goals. That is whatartificial intelligence professorsdo in colleges. Artificial intelligenceprofessors in Indiaand elsewhere elaborate their students on technology and motivate them to achieve big things in life. Analytics Insight has listed the top 10artificial intelligence professorswho offer the right opportunity to students and help them excel in their interested fields.
Balaraman Ravindran is the Mindtree Faculty Fellow and a professor at the Department of Computer Science and Engineering, Indian Institute of Technology, Madras. He also heads the Robert Bosch Centre for Data Science and AI at the IITM. Ravindran holds a PhD in computer science from the University of Massachusetts, Amherst. Currently, his research interests are centred on learning from and through interactions and span the area of data mining, social network analysis, and reinforcement learning. Ravindran has published over 100 papers in journals and conferences, including premier venues such as ICML, AAAI, IJCAI, etc.
LinkedIn-Balaraman Ravindran
Umesh Bellur is the Head of the Department of Computer Science at the Indian Institute of Technology Bombay (IITB). He holds a B.E in Electronics Engineering from Bangalore University and secured his PhD in Computer Engineering from Syracuse University, New York. Bellur is interested in anything distributed around virtualization and cloud computing where he is looking at problems in derivative clouds and serverless computing, VM provisioning, placement, and migration. As an educational professional, he is skilled in distributed systems, Linux, Algorithms, C/C++/Python, and cloud computing.
LinkedIn-Umesh Bellur
Pulak Ghosh is IIMB Chair of Excellence and Professor of Decision Sciences at the Indian Institute of Management, Bangalore (IIMB). Ghosh specializes in intersections of big data, machine learning, artificial intelligence, and its use in economics, finance, policy, and social value creation. Before joining IIMB, he served as Associate Director, Novartis Pharmaceuticals. He also held teaching jobs as Assistant Professor at Georgia State University ad Associate Professor at Emory University, USA. Ghosh also served in the Advisory group of big data at the United Nations (UN) Global Pulse, a big data initiative by the UN and the knowledge commission of UNESCO-MGEIP.
LinkedIn-Pulak Ghosh
Sanjiva Prasad is the professor and head of the Department of Computer Science and Engineering, Indian Institute of Technology Delhi (IITD). He received his B.Tech in Computer Science from IIT Kanpur in 1985 and his MS and PhD in Computer Science from SUNY, Stony Brook, USA. Prasads research interests are in the broad area of formal methods, programming language and their semantics, concurrency theory, verification, proof theory, mobile computation, formal foundations of networks, including IoT and SDN, security. He is specially focused on information flow and formal methods for reconfiguration architecture.
LinkedIn-Sanjiva Prasad
Pushpak Bhattacharyya is a professor of Computer Science and Engineering Department IIT Bombay. His area of research is natural language processing and machine learning. He currently holds the Major Bhagat Singh Rekhi Chair Professorship of IIT Bombay. Before joining IITB, he worked as the director of IIT Patna and served as the President of the Association of Computational Linguistics. Due to his interest in NLP and machine learning, Bhattacharyya has published more than 350 research papers on the topics. He also authored a textbook called Machine Translation.
LinkedIn-Pushpak Bhattacharyya
Suyash P. Awate is the Associate Professor of the Computer Science and Engineering Department, IIT Bombay. His interests are in image analysis, medical image computing, machine learning, computer vision, statistical modelling, and inference. Awate has done research on statistical shape analysis, kernel methods, image classification, image quantification, image reconstruction, statistical analysis of the cemetery of the human brain cortex, image restoration and denoising, image segmentation, and image registration. He has authored and published many papers on image analysis technology.
Chiranjib Bhattacharyya is the Professor and Chair of the Department of Computer Science and Automation at Indian Institute of Science. His interests are centred on machine learning, convex optimization, and bioinformatics. He holds BE and ME degrees, both in Electrical Engineering, from Jadavpur University and the Indian Institute of Science. Bhattacharyya completed his PhD from the Department of Computer Science and Automation, IISc. Before joining IISc, he worked as a postdoctoral fellow at UC Berkeley. Bhattacharyya has authored papers in leading journals and conferences in machine learning.
Susheela Devi is a Principal Research Scientist in the Department of Computer Science and Automation at IISc, Bengaluru. She has a keen interest in the field of pattern recognition, data mining, and soft computing. In her role, she educates students on data structures and algorithms, computational methods of optimization, artificial intelligence, intelligent agents, topic in pattern recognition, data mining for proficiency, algorithms and programming, and soft computing.
LinkedIn- V. Susheela Devi
Sudeept Mohan is the Head of the Department of Computer Science and Information Systems at Birla Institute of Technology and Science, Pilani. His interest centres on intelligent control and robotics. Mohan has spent all his learning years at BITS Pilani. He holds degrees in B.E in Electrical & Electronics, M.Sc in Physics, M.E in Electronics and Control, and PhD in Control of Robot Manipulators, all from BITS Pilani.
Rajeswari Sridhar is the Head of the Department of Computer Science and Engineering at the National Institute of Technology, Trichy. Her area of interest includes data structures and algorithms, compilers, machine learning and deep learning, artificial intelligence, natural language processing, data science and analytics, and cloud computing. Sridhar secured her B.E degree in ECE from Government College of Technology, Coimbatore and M.S in Computer Science from City University, USA. She also holds a PhD in CSE from Anna University, Chennai.
LinkedIn-Rajeswari Sridhar
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Wizards of Tech: Top Artificial Intelligence Professors in India - Analytics Insight
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