Here is the list of the top 10 best machine learning professors in India that have made it big in the market
In this technology-driven world, machine learning has come out as one of the topmost technologies. The field requires experts who can pose the correct inquiries, diagram what data is required, gather the data, and analyze it adequately. As such, machine learning experts utilize scientific techniques to look at monstrous amounts of data and gather important data to be used for a particular reason or project. It is slowly becoming a vital part of everyone’s lives in the form of visual perception, speech recognition, decision making, and language identification to name a few. The technologies like artificial intelligence, data science, and more have taken a front-set. This is making everyone know more about the technology and make a huge impact in the market. Here is the list of the top 10 best machine learning professors in India in 2021:
Dr. Abhijnan Chakraborty
Dr. Abhijnan Chakraborty is an Assistant Professor and TBO Group Faculty Fellow in the Department of Computer Science and Engineering at the Indian Institute of Technology (IIT) Delhi. He is closely associated with the newly formed School of Artificial Intelligence. Dr. Abhijnan Chakraborty’s research interests fall under the broad theme of computing and society, spanning the research areas of social computing, information retrieval, legal analytics, computational journalism and fairness in algorithmic decision making.
Chetan Arora is an Associate Professor and a Pankaj Gupta Young Faculty Fellow in the Department of Computer Science and Engineering at IIT Delhi. His current research interests include the following: Trustworthy AI, cancer detection, mobility, egocentric vision, social impact and more. He is surely one of the best machine learning professors in India in 2021.
Mausam is the founding head of the School of Artificial Intelligence, along with being a Professor of Computer Science at IIT Delhi. He is also an affiliate professor at the University of Washington, Seattle. With a twenty-year research experience in artificial intelligence, he has, over time, contributed to many research areas such as large-scale information extraction over the Web, AI approaches for optimizing crowdsourced workflows, and probabilistic planning algorithms. More recently, his research is exploring neuro-symbolic machine learning, computer vision for radiology, NLP for robotics, multilingual NLP and more.
Next on the list of the top 10 best machine learning professors in India in 2021, next is Parag Singla, an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology, Delhi, and a member of the Data Analytics and Intelligence Research (DAIR) Group. His broad interests lie in the area of machine learning that make him one of the best machine learning professors in India in 2021.
Dr. Pulak Ghosh
Dr. Pulak Ghosh’s essential advantages rotate around big data, banking analytics, business analytics, marketing analytics, and Machine Learning. A visiting faculty to probably the most reputed foundations in India like Manipal Global Academy of Data Science, Dr. Pulak Ghosh is an investigation guide to the SBI (State Bank of India).
Working in the Department of Computer Science at the Indian Institute of Technology Bombay (IITB), Umesh Bellur has a keen eye for cloud computing and virtualization working on problems like serverless computing, derivative clouds, placement, VM provisions and migrations. He holds a Ph.D. in Computer Engineering from Syracuse University and a degree in Electronic Engineers from Bangalore University.
Rajeswari Sridhar has expertise in compilers, data structures and algorithms, artificial intelligence, machine learning, natural language processing, deep learning, cloud computing, data science and analytics. She is the Head of the Department of Computer Science and Engineering at the National Institute of Technology, Trichy.
Sanjiva Prasad is a B.Tech graduate in Computer Science from IIT Kanpur followed by an MS and Ph.D. in Computer Science from SUNY, Stony Brook, USA. Currently, he is a professor and Head of the Department of Computer Science and Engineering, Indian Institute of Technology Delhi. The major interest areas are formula foundations of networks, mobile computation, proof theory, concurrency theory, semantics, programming languages, verifications, formal methods, etc. including security, SDN and IoT.
Susheela Devi educates computation methods of optimization, data structures and algorithms, intelligent agents, artificial intelligence, data mining for proficiency, algorithms and programming. She is a Principal Research Scientist in the Department of Computer Science and Automation at IISc, Bengaluru.
He is a teacher at the Department of Computer Science and Engineering and the Mindtree Faculty Fellow at the Indian Institute of Technology Madras. He additionally heads the Robert Bosch Center for Data Science and Artificial Intelligence at IIT Madras. His ebb and flow research intrigues the more extensive zone of machine learning, going from Spatio fleeting abstractions in reinforcement learning to social network analysis and data mining. A significant part of the work in his team is coordinated toward understanding interactions and learning from them.
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