Banner
Keynote Speakers
Kalyanmoy Deb
Koenig Endowed Chair Professor, Electrical and Computer Engineering
Director, Computational Optimization and Innovation (COIN) Laboratory
Michigan State University, USA
Brief Speaker Bio :
Dr Kalyanmoy Deb is Koenig Endowed Chair Professor at Department of Electrical and Computer Engineering in Michigan State University, USA.

Prof. Deb's research interests are in evolutionary optimization and their application in multi-criterion optimization, modeling, and machine learning. He has been a visiting professor at various universities across the world including University of Skövde in Sweden, Aalto University in Finland, Nanyang Technological University in Singapore, and IITs in India. He was awarded IEEE Evolutionary Computation Pioneer Award for his sustained work in EMO, Infosys Prize, TWAS Prize in Engineering Sciences, CajAstur Mamdani Prize, Distinguished Alumni Award from IIT Kharagpur, Edgeworth-Pareto award, Bhatnagar Prize in Engineering Sciences, and Bessel Research award from Germany. He is fellow of IEEE, ASME, and three Indian science and engineering academies. He has published over 545 research papers with Google Scholar citation of over 149,000 with h-index 123. He is in the editorial board on 18 major international journals. More information about his research contribution can be found from https://www.coin-lab.org.



Simon See
Senior Director, Nvidia
AI Technology Center, Singapore
Brief Speaker Bio :
Prof. Simon See is currently the Senior Director, Nvidia, AI Technology Center, Singapore. He is also a Professor and Chief Scientific Computing Officer in Shanghai Jiao Tong University. Previously Prof See is also the Chief Scientific Computing Advisor for BGI (China) and has a position in NanyangTechnological Univ (Singapore) and King-Mong Kung Univ of Technology (Thailand). He is currently involved in a number of smart city projects, especially in Singapore and China. His research interests are in the area of High Performance Computing, Big Data, Artificial Intelligence, machine learning, computational science, Applied Mathematics and simulation methodology. Prof. See is also leading some of the AI initiatives in Asia Pacific. He has published over 200 papers in these areas and has won numerous awards in the field.Prof See is also a member of SIAM, IEEE and IET. He is also a committee member of more than 50 conferences. Prof. See graduated from University of Salford (UK) with a PhD in electrical engineering and numerical analysis in 1993. Prior to joining NVIDIA, Dr See worked for SGI, DSO National Laboratory of Singapore, IBM, International Simulation Ltd (UK), Sun Microsystems and Oracle. He is also providing consultancy to a number of national research and supercomputing centres.


Donald Wunsch
Mary K. Finley Missouri Distinguished Professor, Electrical and Computer Engineering
Missouri University of Science & Technology, USA
Brief Speaker Bio :
Donald Wunsch is the Mary K.. Finley Missouri Distinguished Professor at Missouri University of Science & Technology (Missouri S&T).

Earlier employers were: Texas Tech University, Boeing, Rockwell International, and International Laser Systems.

His education includes:
Executive MBA - Washington University in St. Louis,
Ph.D., Electrical Engineering - University of Washington (Seattle),
M.S., Applied Mathematics (same institution),
B.S., Applied Mathematics - University of New Mexico.

Key research contributions are: Clustering, including hierarchical clustering and biclustering; Adaptive resonance and Reinforcement Learning architectures, hardware and applications; Neurofuzzy regression; Traveling Salesman Problem heuristics; Smart Grid; Robotic Swarms; and Bioinformatics. He has produced 21 Ph.D. recipients in Computer Engineering, Electrical Engineering, Systems Engineering, and Computer Science; many M.S. students in those disciplines and also Statistics; and has over 500 publications including eleven books.

He is an IEEE Fellow and previous INNS President, INNS Fellow and Senior Fellow 07 - present, and served as IJCNN General Chair, and on several Boards, including the IEEE Neural Net Council, International Neural Networks Society, and the University of Missouri Bioinformatics Consortium. He chaired the Missouri S&T Information Technology and Computing Committee, a Faculty Senate Standing Committee. He received the 2015 INNS Gabor Award for neural networks in engineering and the 2019 INNS Ada Lovelace Service Award.



Pushpak Bhattacharyya
Professor, Department of Computer Science & Engineering, IIT Bombay
FNAE, Abdul Kalam Fellow
Former Director, IIT Patna
Distinguished Alumnus, IIT Kharagpur
Former President Association for Computational Linguistics
Former Vijay and Sita Vashee Chair Professor, IIT Bombay
Brief Speaker Bio :
Prof. Pushpak Bhattacharyya, Fellow of National Academy of Engineering and A.P.J. Abdul Kalam National Fellow, is former Director of IIT Patna (2015-20) and Professor of Computer Science and Engineering Department IIT Bombay where he also held the Vijay and Sita Vashi Chair Professorship. Prof. Bhattacharyya is currently the Professor-Incharge too of Data and Information Sciences Lab under the Institute of Eminence activity of IIT Bombay. He was raised in the picturesque town of shillong in Meghalaya where he was the state topper in both class 10th (1977) and class 12th (1979) examinations. He was educated in IIT Kharagpur (B.Tech, 1984; also chosen as its Distinguished Alumnus in 2018), IIT Kanpur (M.Tech, 1986) and IIT Bombay (PhD, 1994). He has been visiting scholar and faculty in MIT, Stanford, UT Houston and University Joseph Fouriere (France). Prof. Bhattacharyya’s research areas are Natural Language Processing, Machine Learning and AI (NLP-ML-AI). His lab called "Center for Indian Language Technology" (CFILT) at IIT Bombay is known internationally for its contribution to NLP and ML. In IIT Patna too, the lab called "Center of Excellence in Natural Language Processing" is gaining visibility in the country and abroad.

Prof. Pushpak Bhattacharyya has worked in all areas of Natural Language Processing- machine translation, sentiment and opinion mining, cross lingual search and multilingual information extraction. He combines linguistics, cognitive science and machine learning in a unique way. He has published more than 300 research papers. Multilingual Lexical Knowledge Bases and Projection and Computational Sarcasm are his reasearch trail-blazers. Author of the text book ‘Machine Translation’ Prof. Bhattacharyya has shed light on all paradigms of machine translation with abundant number of examples from Indian Languages. Two recent monographs by him called 'Investigations in Computational Sarcasm' (with Dr. Aditya Joshi) and 'Cognitively Inspired Natural Language Processing- An Investigation Based on Eye Tracking' (with Dr. Abhijit Mishra) describe cutting edge research in NLP and ML.

Prof. Bhattacharyya has guided more than 250 students (PhD, masters and Bachelors); he is loved by his students for his friend-phillosopher-guide approach to mentorship. Students mentored by Prof. Bhattacharyya are faculty members in IITs, NITs, IIITs and Universities, and also are industry leaders and members of top research labs.

Ministries, Government organizations and leading industries have benefitted from Prof. Bhattacharyya's expertise. The list includes MEITY, MHRD, MoC, MEA, NITI Aayog, CDAC, Accenture, Elsevier, Microsoft, IBM, Honeywell, Samsung, HCL, LG, Emirates Airlines, and startups like Bluepool, Scribetech, FreshGravity etc. He has led government and industry projects of international and national importance. Sponsored projects and consultancy projects executed by Prof. Bhattacharyya run into multiple crores.

Over the years, Prof. Bhattacharyya has been rendering professional service in various capacities. He has been President (2016-17) of Association of Computational Linguistics (ACL) the highest International body defining standards of and propagating Computational Linguistics. He is currently serving as Chairman of Committee for Standardization in Artificial Intelligence, set up by Bureau of Indian Standards under Ministry of Consumer Affairs in 2018, whose members include IITs and IISc, CSI, MEITY, NITI Ayog, CAIR DRDO and leading industries like TCS, Google India, IBM Software, Samsung, Intel Research, and Microsoft Research. He has been a founding member (2017) of Asian Association for Computational linguistics (AACL) and South Asian Association for Language Processing (SAALP) (2005). He organized one of the major international conferences on computational linguistics- COLING 2012 in Mumbai.

Prof. Bhattacharyya has been a propagator of NLP, its foundations, state of art and Indian Language Technology. Starting with educational institutes in and around Mumbai, he has lectured in IITs, IISc, NITS, IIITs, MIT, Stanford, University of Chicago, Oxford University, Grenoble University, University of Texas at Houston etc. Similarly, he has delivered invited talks in industries and research labs like IBM, Microsoft, Yahoo, Apple, NVIDIA, Accenture, Honeywell, Adobe, CDAC, CDOT and others.

Prof. Bhattacharyya's research has gained national and international visibility. His work on Computational Sarcasm with his students featured in The TIMES London Edition, 19th Sept, 2017 (Link) and also in Hindustan Times, 22nd August, 2018 (Link). The deep learning based sarcasm research also featured in MIT Technology Review and ACM Tehnology News (Link). A recent web analysis places Prof. Bhattacharyya in the list of most prolific researchers on NLP and ML for the period 2012-17 (Link). Another such very recent web analysis places Prof. Bhattacharyya amongst top 10 machine learning researchers of the country (Link).

Prof. Bhattacharyya is Fellow of Indian National Academy of Engineering (FNAE) (elected 2015). For sustained contribution to technology he received the Manthan Award of Ministry of IT (2009), P.K. Patwardhan Award of IIT Bombay (2008) and VNMM Award of IIT Roorkey (2014). He is Distinguished Alumnus Awardee (2018) of IIT Kharagpur. In 2020, he was conferred the prestigiuos Abdul Kalam Technology Innovation National Fellowship.



Akira Hirose
Professor, Department of Electrical Engineering and Information Systems
The University of Tokyo, Japan
Brief Speaker Bio :
Akira Hirose received the Ph.D. degree in electronic engineering from the University of Tokyo in 1991. In 1987, he joined Research Center for Advanced Science and Technology (RCAST), the University of Tokyo, as Research Associate. In 1991, he was appointed as Instructor at RCAST. From 1993 to 1995, on leave of absence from the University of Tokyo, he joined the Institute for Neuroinformatics, University of Bonn, Bonn, Germany. He is currently Professor with the Department of Electrical Engineering and Information Systems, the University of Tokyo. The main fields of his research interests are wireless electronics and neural networks. In the fields, he published several books such as Complex-Valued Neural Networks, 2nd Edition (Springer 2012). He served as the Founding President of Asia-Pacific Neural Network Society (APNNS) (2016), President of Japanese Neural Network Society (JNNS) (2013-2015), Vice President of the IEICE Electronics Society (ES) (2013-2015), Editor-in-Chief of the IEICE Transactions on Electronics (2011-2012), Associate Editor of journals such as the IEEE TRANSACTIONS ON NEURAL NETWORKS (2009-2011), IEEE GEOSCIENCE AND REMOTE SENSING NEWSLETTER (2009-2012), Chair of the Neurocomputing Technical Group in the IEICE, Founding Chair of the IEEE CIS NNTC Complex-Valued Neural Network Task Force (2010-), Governing Board Member of APNNA/APNNS (2006-), IEEE Geoscience and Remote Sensing Society (GRSS) All Japan Chapter Chair (2013-2015) and IEEE Computational Intelligence Society (CIS) All Japan Chapter Chair (2017- 2018). He also served as the General Chair of Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) 2013 Tsukuba, International Conference on Neural Information Processing (ICONIP) 2016 Kyoto, and International Geoscience and Remote Sensing Symposium (IGARSS) 2019 Yokohama. Dr. Hirose is a Fellow of the IEEE and the IEICE, and a member of JNNS and APNNS.