AI is fast emerging as the cornerstone for initiating and transforming policies for public welfare, economic impact, and regulations. The concept of AI is based on the idea of building machines, capable of thinking, acting, and learning like humans. It can eliminate the need of human involvement in defence related tasks that pose threat to their life and safety. AI techniques can be used in a variety of sectors, to help problems persisting in our country, from transport, education to healthcare and defence.
Indian Institute of Technology Jodhpur is organising the Workshop on Transforming India with AI (TIAI) on 8th & 9th August 2019.
To confirm your participation we request you to please register by providing details at Registration form . For any queries, please feel free to contact us at email@example.com
Due to non-availabilty of accommodation inside the IITJ campus, delegates are kindly requested to arrange for their accommodation in the city.
Some hotels close to IIT are as follows:
There are numerous budget hotels in the city such as RTDC hotel Ghoomar and OYO Rooms.
Venue: Room No. 308, Lecture Hall Building, Indian Institute of Technology Jodhpur
|09:00 - 09:45||Registration|
|09:45 - 10:15||Inauguration||Prof. Santanu Chaudhury, IIT Jodhpur|
|10:15 - 11:05||Invited Talk||Prof. Sankar K Pal, Former Director, ISI Kolkata
|11:05 - 11:30||Tea Break|
|11:30 - 12:20||Invited Talk
||Vineet Kshirsagar, Head- Govt. Business, NetApp India
|12:20 - 1:10||Invited Talk||Prof. P P Chakrabarti, Former Director, IIT Kharagpur|
|1:15 - 2:15||Lunch Break|
|2:15 - 3:05||Invited Talk|| Gaurav Makkar, NetApp Inc.
|3:10 - 3:40||Invited Talk||Deepak Mishra|
|3:45 - 4:25||Invited Talk||Santosh Rao, Senior Technical Director, NetApp Inc.|
|4:25 - 4:40
|4:40 - 5:30
|| Invited Talk
||Prof. Ashish Ghosh, ISI Kolkata|
|09:30 - 10:20 ||Invited Talk||Prof. Mayank Vatsa, IIIT Delhi|
|10:20 - 10:45||Tea Break|
|10:45 - 11:35 ||Invited Talk
||Prof. Chiranjib Bhattacharyya, IISc
|11:35 - 12:25 ||Invited Talk||Prof. Richa Singh, IIIT Delhi|
|12:30 - 1:30||Lunch Break|
|2:00 - 2:50
|| Invited Talk
|| Dr. Anand Mishra, IIT Jodhpur
|2:50 - 3:35
|| Invited Talk
|| Dr. Yashaswi Verma, IIT Jodhpur
|3:35 - 4:00
Professor Sankar Kumar Pal
Sankar K. Pal (www.isical.ac.in/~sankar) is a Distinguished Scientist and former Director of Indian Statistical Institute. He is currently an INSA Distinguished Professor Chair. He founded the Machine Intelligence Unit and the Center for Soft Computing Research: A National Facility in the Institute in Calcutta. He received a Ph.D. in Radio Physics and Electronics from the University of Calcutta in 1979, and another Ph.D. in Electrical Engineering along with DIC from Imperial College, University of London in 1982. He joined his Institute in 1975 as a CSIR Senior Research Fellow where he became a Full Professor in 1987, Distinguished Scientist in 1998 and the Director for the term 2005-2010.
Prof. Pal is a Life Fellow of the IEEE, and Fellow of the World Academy of Sciences (TWAS), International Association for Pattern recognition, International Association of Fuzzy Systems, International Rough Set Society, and all the four National Academies for Science/Engineering in India. He is a co-author of twenty books and more than four hundred research publications in the areas of Pattern Recognition and Machine Learning, Image Processing, Data Mining, Soft Computing, Neural Nets, Genetic Algorithms, Fuzzy Sets, Rough Sets, Web Intelligence, Social Networks, Cognitive Machine and Bioinformatics. He visited forty plus countries as a keynote/ invited speaker or an academic visitor.
He has received the 1990 S.S. Bhatnagar Prize (which is the most coveted award for a scientist in India), 2013 Padma Shri (one of the highest civilian awards) by the President of India and many prestigious awards in India and abroad including the 1999 G.D. Birla Award, 1998 Om Bhasin Award, 1993 Jawaharlal Nehru Fellowship, 2000 Khwarizmi International Award from the President of Iran, 2000-2001 FICCI Award, 1993 Vikram Sarabhai Research Award, 1993 NASA Tech Brief Award (USA), 1994 IEEE Trans. Neural Networks Outstanding Paper Award, 1995 NASA Patent Application Award (USA), 1997 IETE-R.L. Wadhwa Gold Medal, 2001 INSA-S.H. Zaheer Medal, 2005-06 Indian Science Congress-P.C. Mahalanobis Birth Centenary Gold Medal from the Prime Minister of India for Lifetime Achievement, 2007 J.C. Bose National Fellowship, 2013 Indian National Academy of Engineering (INAE) Chair Professorship, 2013 IETE Diamond Jubilee Medal, 2014 IEEE Fellow Class Golden Jubilee Medal, 2015 INAE-S.N. Mitra Award, 2015 DAE Raja Ramanna Fellowship of the Government of India, 2017 INSA-Jawaharlal Nehru Birth Centenary Lecture award, and 2018 INSA Distinguished Professorship.
Prof. Pal is/ was an Associate Editor of IEEE Trans. Pattern Analysis and Machine Intelligence (2002-06), IEEE Trans. Neural Networks [1994-98 & 2003-06], Neurocomputing (1995-2005), Pattern Recognition Letters (1993-2011), Int. J. Pattern Recognition & Artificial Intelligence, Applied Intelligence, Information Sciences, Fuzzy Sets and Systems, Fundamenta Informaticae, LNCS Trans. Rough Sets, Int. J. Computational Intelligence and Applications, IET Image Processing, Ingeniería y Ciencia, and J. Intelligent Information Systems; Editor-in-Chief, Int. J. Signal Processing, Image Processing and Pattern Recognition; a Book Series Editor, Frontiers in Artificial Intelligence and Applications, IOS Press, and Statistical Science and Interdisciplinary Research, World Scientific; a Member, Executive Advisory Editorial Board, IEEE Trans. Fuzzy Systems, Int. Journal on Image and Graphics, and Int. Journal of Approximate Reasoning; and a Guest Editor of IEEE Computer, IEEE SMC and Theoretical Computer Science.
Professor Partha Pratim Chakrabarti
Partha Pratim Chakrabarti received the B.Tech. and Ph.D. degrees in Computer Science and Engineering from the Indian Institute of Technology Kharagpur (IIT), Kharagpur, India, in 1985 and 1988, respectively. Since 1988, he has been a Faculty Member with IIT Kharagpur, where he is currently the Director and a Professor in the Department of Computer Science and Engineering.
He has published more than 250 research papers and has successfully completed several major research projects. His areas of interest include AI, CAD for VLSI, Embedded Systems, Algorithm Design, and Reliable & Fault Tolerant Systems. He is a member of the ACM and a senior member of the IEEE. Prof. Chakrabarti is the recipient of several honors, including the President of India Gold Medal (1985), INSA Young Scientist Award (1991), Swarnajayanti Fellowship (1998) and the Shanti Swarup Bhatnagar Prize (2000) from the Government of India, INAE Young Engineer Award (1994), Anil K Bose Award (1995), INAE Viswesvarya Chair Professor (2007), Rotary Award for Science & Technology (2010), S Ramanujam Memorial Lecture of IE (2012), J. C. Bose National Fellowship (2013), Fellow of Indian National Science Academy (FNA), Fellow of Indian National Academy of Engineering (FNAE), Fellow of Indian Academy of Sciences (FASc) and Fellow of West Bengal Academy of Science & Technology.
Professor Mayank Vatsa
Mayank Vatsa received the M.S. and Ph.D. degrees in computer science from West Virginia University, USA, in 2005 and 2008, respectively. He is currently the Head of the Infosys Center for Artificial Intelligence, a Professor with the IIIT-Delhi, India, and an Adjunct Associate Professor with West Virginia University, USA. He has co-edited a book Deep learning in Biometrics and co-authored over 250 research papers. His areas of interest are biometrics, image processing, machine learning, and information fusion. He is a Senior Member of the Association for Computing Machinery. He was a recipient of FAST Award Project by DST, India, and several Best Paper and Best Poster Awards at international conferences. He is also the recipient of the prestigious Swarnajayanti Fellowship award 2018 from Government of India. He is an Area Chair of the Information Fusion (Elsevier), and the PC Co-Chair of the ICB 2013 and IJCB 2014. He was the Vice President (Publications) of the IEEE Biometrics Council where he started the IEEE Transactions on Biometrics, Behavior, And Identity Science.
Professor Ashish Ghosh
Professor Ashish Ghosh started as an electronic engineer (1983-'87) then moved to computer science during his master's (1987-'89), and finally to Artificial Intelligence (AI) during PhD (1993). After completing post-doctoral research in Japan (1995-'96), he joined as a faculty member at ISI (1997), now a professor, and contributing immensely to the field of AI, machine learning, image/video analysis and data science. He has already published about 250 research articles on these subjects; and has an H-index 40.
For his pioneering contribution in computational intelligence and image analysis, he earned Young Scientist award from Indian Science Congress (1992), Young Scientist Medal from INSA (1995), and Young Associateship of Indian Academy of Sciences (1997). He is a Fellow of the West Bengal Academy of Science and Technology. For his excellent service to IEEE, he received IEEE-GRSS Regional Leader Award, 2019.
He visited various Universities/Academic Institutes in connection with conducting collaborative research/projects and deliver lectures in different countries including China, Germany, Hong Kong, Italy, Japan, Poland, Portugal, South Korea, Thailand, The Netherlands, UK and the USA. He served as plenary/keynote speakers in many international conferences in India and abroad. To upgrade and nurture the engineering community, he disseminated seminar lectures and conducted several workshops /short-term courses in different parts of India on upcoming topics of AI, machine learning, image & video analysis and data science. As PI and Co-PI, he completed seventeen projects of national and international importance, funded by Government of India, European Commission, Indo-Italy and Indo-US forum for science & technology.
He is a member of the founding team that established the National Center for Soft Computing Research at the Indian Statistical Institute, Kolkata in 2004 with funding from the Department of Science and Technology, Govt. of India. Since 2010, he is acting as the In-charge of this Center that has been recognized as an Associate Institute of ISI. He also served as the Head of the well-known Machine Intelligence Unit of ISI during 2013-2014. He is a member of the Research Advisory Committee of many Academic organizations, and SEBI (Mumbai, India), and is nominated to the Academic Council of Banasthali Vidyapith as an Eminent Educationist.
He is currently leading the Data Science Research consortium project as the Theme Coordinator to manage a number of projects assigned to different reputed Indian Institutes under ICPS program of DST. He is an Associate Editor of several International journals, like, IET Journal of Computer Vision, CAAI Transactions on Intelligence Technology (published from IET) and Sadhana, Journal of Banking and Financial Technology, and a Series Editor of Communications in Computer and Information Science (CCIS), Springer-Nature.
Professor Chiranjib Bhattacharyya
Chiranjib Bhattacharyya is currently Professor in the Department of Computer Science and Automation(CSA), Indian Institute of Science (IISc) Bangalore. He joined the Department of CSA, IISc, in 2002 as an Assistant Professor. Prior to joining the Department he was a postdoctoral fellow at UC Berkeley. He holds BE and ME degrees, both in Electrical Engineering,from Jadavpur University in 19993 and the Indian Institute of Science in 1995, respectively, and completed his PhD from the Department of Computer Science and Automation, Indian Institute of Science.
His research interests are in Machine Learning, Mathematical Programming, Text Analytics, Computational Biology. research has won him acclaim for his contributions to the area of Statistical Machine Learning. Using the paradigm of Robust Optimization an emerging discipline in Optimization, he pioneered the approach of designing classifiers which are robust to noisy observations. The result not only demonstrates progress in several classic problems in statistics such as classifying observation with missing values but has also opened new opportunities of interaction between Robust Optimization and ML. His group has also made important contributions in understanding User Generated Content such as Product reviews written by users, which won the Best paper award at SIAM Data Mining Conference, 2011. In another very interesting contribution his group showed that by using Profile Hidden Markov Models, a model widely used in Computational Biology, one can identify workloads from NFS traces, and is considered an important breakthrough in Storage system research.
Professor Richa Singh
Richa Singh received a Ph.D. degree in Computer Science from West Virginia University, Morgantown, USA in 2008. She is currently a Professor with IIIT Delhi, India, and an Adjunct Associate Professor at West Virginia University. She is a Fellow of IAPR and Senior Member of IEEE and ACM. Her areas of interest are pattern recognition, machine learning, and biometrics. She is a recipient of the Kusum and Mohandas Pai Faculty Research Fellowship at the IIIT Delhi, the FAST Award by the Department of Science and Technology, India, and several best paper and best poster awards in international conferences. She has published over 225 research papers in journals, conferences, and book chapters. She is also an Editorial Board Member of Information Fusion (Elsevier), Associate Editor of Pattern Recognition, CVIU, IEEE Access, and the EURASIP Journal on Image and Video Processing (Springer). She has also served as the Program Co-Chair of IEEE BTAS 2016, IWBF 2018, and General Co-Chair of ISBA 2017. She is currently serving as Program Co-Chair of International Conference on Automatic Face and Gesture Recognition, 2019.
Dr. Anand Mishra
Anand Mishra is an Assistant Professor at the Department of Computer Science and Engineering of the Indian Institute of Technology Jodhpur. Previously, he worked with Dr. Partha Pratim Talukdar and Dr. Anirban Chakraborty at the Indian Institute of Science for nearly two years on Knowledge-aware Computer Vision. He did his PhD under the supervision of Prof. C. V. Jawahar and Dr. Karteek Alahari on understanding text in scene images at IIIT Hyderabad. At IIIT, he was a recipient of Microsoft Research India PhD fellowship 2012 and XRCI best doctoral dissertation award: first runner up 2015. His current research interest spans Computer Vision and Knowledge Graphs. To be specific, he focus on using external knowledge bases for addressing various vision and language tasks.
Dr. Deepak Mishra
Deepak Mishra received the B.Tech degree in Electronics and Communication Engineering from Indian Institute of Information Technology, Design and Manufacturing Jabalpur. He received his M.tech in Computer Technology and Ph.D. degree in Electrical Engineering both from Indian Institute of Technology Delhi. Currently, he is working with Department of Computer Science and Engineering in Indian Institute of Technology Jodhpur.