Dr. Rajeev Kanth
Principal Lecturer (Yliopettaja- in Finnish)
Savonia University of Applied Sciences, Finland


Title of the Talk: TBA

Dr. Rajeev Kanth received a Doctor of Science (D.Sc.) in Information and Communication Technology from the University of Turku, Finland, in 2013. He has been working as a Principal Lecturer (Yliopettaja- in Finnish) at the Savonia University of Applied Sciences, Finland, where he focuses on teaching and research on the Internet of Things (IoT). He has been an Adjunct Professor at the Department of Computing, University of Turku, Finland, and a Visiting Professor at Hebei University of Environmental Engineering, China. He is currently a senior member of the IEEE. Previously, he worked at the Indian Space Research Organization (ISRO), Ahmedabad, India, and the Royal Institute of Technology (KTH), Stockholm, Sweden, where he was a researcher and a senior research scientist, respectively. He has over 25 years of experience working in academic and research institutions. His current research interests include the Internet of Things, big-data analytics, artificial intelligence, and wireless cloud and edge computing. He has published more than 95 scientific articles in peer-reviewed conference proceedings and refereed computer science and communication technology journals. Some of the recent and ongoing research and development projects are UCNDRONE (funded by the Finnish Ministry of Education), VLEFACT (EU Erasmus Plus-funded project), and AIQUSEC (Business Finland).

Dr. Anindya Ghose
Heinz Riehl Professor of Business
Leonard N. Stern School of Business
Kaufman Management Center, 44 West Fourth Street, 8-67, New York, NY 10012

Title of the Talk: TBA

Dr. Anindya Ghose is the Heinz Riehl Chair Professor of Technology and Marketing at New York University's Leonard N. Stern School of Business where he holds a joint appointment in the TOPS and Marketing departments. He is the author of TAP: Unlocking The Mobile Economy which is a double winner in the 2018 Axiom Business Book Awards and has been translated into five languages (Korean, Mandarin, Vietnamese, Japanese and Taiwanese). His new book is titled THRIVE: Maximizing Well-Being in the Age of AI . His rise from assistant to full professor in 8.5 years at NYU Stern is widely regarded as one of the fastest in the history of several disciplines in business schools globally. He is the Director of the Masters of Business Analytics and AI Program at NYU Stern. He is a Leonard Stern Faculty Scholar with an MBA scholarship (the Ghose Scholarship) named after him. He has been a Visiting Professor at the Wharton School of Business. In 2014, he was named by Poets & Quants as one of the Top 40 Professors Under 40 Worldwide and by Analytics Week as one the "Top 200 Thought Leaders in Big Data and Business Analytics".

Dr Sandeep Singh Sengar
Senior Lecturer in Computer Science
Cardiff School of Technologies
University in Cardiff, Wales, UK

Title of the Talk: TBA

Dr. Sandeep Singh Sengar is a Lecturer in Computer Science at Cardiff Metropolitan University, United Kingdom. Before joining this position, he worked as a Postdoctoral Research Fellow at the Machine Learning Section of Computer Science Department, University of Copenhagen, Denmark. He holds a Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India and an M. Tech. degree in Information Security from Motilal Nehru National Institute of Technology, Allahabad, India. Dr. Sengar’s current research interests include Medical Image Segmentation, Motion Segmentation, Visual Object Tracking, Object Recognition, and Video Compression. His broader research interests include Machine/Deep Learning, Computer Vision, Image/Video Processing and its applications. He has published several research articles in reputed international journals and conferences in the field of Computer Vision and Image Processing. He is a Reviewer of several reputed International Transactions, Journals, and conferences including IEEE Transactions on Systems, Man and Cybernetics: Systems, Pattern Recognition, Neural Computing and Applications, Neurocomputing. He has also served as a Technical Program Committee member in many reputed International Conferences. He has organized several special sessions and given keynote presentations at International Conferences. In addition to these, he has also given many expert talks in reputed organizations. He always believes in collaborative opportunities.

Dr. Deepak Kumar Jain
Associate Professor
Dalian University of Technology
Ganjingzi, Dalian, Liaoning, China

Title of the Talk: TBA

Dr. Deepak Kumar Jain leads a research group that applies Artificial Intelligence (AI), Deep Learning, and Computer Vision to face and facial expression analysis. Our group creates innovative and robust AI models that can detect and prevent deepfakes, and recognize subtle and complex micro expressions. His work has been published in prestigious journals such as Information Fusion, Neurocomputing, and Expert Systems with Applications. He holds a Postdoctoral degree in Computer Vision from ARMTEC Tecnologia em Robótica, a Ph.D. in Pattern Recognition and Intelligent System from the University of Chinese Academy of Sciences, a Master's degree in Image Processing and Computer Vision from Jaypee University of Engineering and Technology, and a Bachelor's degree in Electronics and Instrumentation from Rajiv Gandhi Prodyogiki Vishwavidyalaya. He have developed a novel Iris recognition algorithm for the Indian Aadhar Card system, and explored new methods and applications of Deep Reinforcement Learning. He is a passionate about advancing AI for the research community and the society at large, and he embraces challenges and collaborations with colleagues worldwide. He also enjoy teaching and mentoring students at both bachelor's and master's levels, and designing the curriculum for the Machine Vision course at DUT. He is always eager to learn new skills and technologies, and to apply them to real-world problems.