Dr Ketan Kotecha, Head, SCAAI
An advocate and practitioner of emotional intelligence in workplaces, Dr Ketan Kotecha is at the helm of the administrative, academic and entrepreneurship affairs of the Symbiosis International (Deemed University). An exceptional academic leader, he has a firm grip on the steering of the institution towards desired vision and mission. His 25 years of extraordinary career saw him serving in the finest of the engineering colleges in various higher technical education leadership positions.
An avid researcher, he has various prestigious transnational projects under him. He is a recipient of the projects worth INR 166 lacs on AI for Credibility Analysis of Information and Expandable AI for Health care in collaboration with the Arizona State University and the University of Queensland under Scheme for Promotion of Academic and Research Collaboration(SPARC) by MHRD, GoI respectively. He is also a team member for the nationwide initiative on "AI and deep learning Skilling and Research named Leadingindia.ai initiative sponsored by Royal Academy of Engineering, UK under Newton Bhabha Fund.
A researcher - teacher of Deep learning, his interest areas are Artificial Intelligence, Computer Algorithms, Machine Learning, Deep Learning Higher Order Thinking Skills, Critical Thinking and Ethics & Values.
His research work can also be seen at -
He has more than 100 papers published /presented at international conferences around the world, to his credit and 3 patents filed. He is Guide to doctoral students working on the various fields of Computer Engineering and especially in Machine Learning for PhD/MTech Degrees. His insightful articles on varying topics are also published in news dailies; CSI magazine; AIU University newsletter etc.
He was keynote speaker for events such as ACMA Technology Summit 2019, Pune; international conference on “Flexible Learning Pathways: Asia-Europe Conference on Lifelong Learning and the 2030 Agenda for Sustainable Development”, Hanoi, Vietnam; Artificial Intelligence & Data Analytics in Decision Making" at the 14th FICCI Higher Education Summit 2018. He was also a member of FICCI higher education delegation to S Korea in May 2019. He has also delivered a talk on Research directions for Artificial intelligence at various forums including at IIT Bombay.
Dr Kotecha was founding Provost of Gujarat's largest private university- Parul University. He was Director – Academic Development and Research Cell, Nirma University, Ahmedabad, where he also served as the Dean and Director of the Institute of Technology, Nirma University.
He was Governing Council Member of the USA based Global Engineering Dean’s Council – India Chapter and is also a member of National Advisory Council for Confederation of Indian Industry’s (CII) Engineering and Management Curriculum Restructuring Task Force. He is the member of Governing Council of various universities and member of Academic Council at few Universities. He was a Member of the Technical Advisory Committee of BRTS, Ahmedabad and is also a member of Metro–Link Express for Gandhinagar.
Dr Kotecha is also an independent director of Gujarat Informatics nominated by Government of Gujarat.
A recipient of Erasmus + faculty mobility grant from European Union, Dr Kotecha was invited by Wroclaw University of Science and Technology and Poznan University of technology, Poland for delivering sessions on Machine learning. Earlier he was visiting an expert to University of Pretoria, S. Africa. He was also invited and visited in various countries like USA, Canada, Singapore, Hong Kong, S. Africa, Spain, Poland, Germany, Cz Republic, Switzerland, Argentina and South Korea.
Dr Kotecha is pioneer in Education Technology, and believes in drastic and needed curriculum reforms and innovative teaching-learning practices as call of the hour. A voracious reader, he is passionate about travelling and indulging in good food.
Dr Rahee Walambe, Associate Faculty, SCAAI
Application of novel DL algorithms for cutting edge research is Dr Rahee Walambe’s area of interest and expertise. Principal Investigator of the project entitled Development of Explainable AI Techniques for Complex Disease Diagnosis using Genomics Data (XAI) in Collaboration with The University of Queensland, Australia and as a Co-Principal Investigator of the project entitled Development of Algorithms for Credibility Analysis of Information in collaboration with Arizona State University, USA, Dr Rahee has a firm hold on the development and application of deep learning methodologies and mathematical reasoning, which form the backbone of deep learning algorithms.
A teaching-researching faculty member in Symbiosis Institute of Technology, she has worked as a Principal Investigator for a Dept. of Science and Technology’s Women Scientist (WOS-A) Fellowship scheme from April 2014 to March 2017 for the project entitled ‘Cars that Drive and Park’ at PVG’s College of Engg and Technology. The grant was for the development of indigenous prototype for motion planning and path planning for Auto-navigation and auto-parking of a car type mobile robot.
Her proven research experience is in the broad area of Machine Learning, Mobile Robotics, Nonlinear Control and AI Applications. She is currently working in allied areas of Deep learning for applications in text processing, genomics, multi-sensor fusion, multi-agent systems and reinforcement learning. A doctorate from Lancaster University, UK, she has published impactful manuscripts in quality journals and books. She has filed patents on development of DL based assistive device for visually impaired people (patent filed in September 2019) and development of DL algorithm for Multi Sensor Fusion for gas detection (Patent filed in September 2019) with UG and PhD students. She has worked as a team member for DRDO project and as industrial research consultant. Dr Walambe has also been Invited Expert for various talks related with her expertise in India and abroad. She has published extensively in SCI and SCOPUs indexed journals and conferences.
Dr Shilpa Shailesh Gite, Associate Faculty, SCAAI
Dr Shilpa Shailesh Gite is a passionate educationalist and a researcher at Symbiosis Institute of Technology. Her research areas include Deep learning, computer vision, Multi-sensor data fusion, Assistive driving. She is currently working machine learning, medical imaging, explainable AI, GANs. She has published impactful manuscripts in reputed international conferences and Scopus/ web of science indexed journals and books. She is also the recipient of Best Paper Award at IEMERA Conference, UK in Oct 2020.
She is guide to several national/international undergraduates, post-graduate and PhD students from computer engineering and other disciplines. In addition to academics and research, she is also a reviewer for reputed journals such as IEEE Transactions on Industrial Electronics, Neurocomputing, PeerJ Computer Science etc.
Her research work is seen at https://scholar.google.co.in/citations?user=VKolPrMAAAAJ&hl=en
Dr Shruti Patil, Associate Faculty, SCAAI
Dr Shruti Patil is an enthusiastic academician and an avid researcher with a contagious positive attitude. She is known as a keen observer who is fiercely creative, loves to take on the challenges and follow the unexplored path. She has been an industry professional in the past, currently associated with Symbiosis Institute of Technology as a professor and with SCAAI as a research associate. She has expertise in applying innovative technology solutions to real world problems. Her research areas include applied artificial intelligence, natural language processing, acoustic AI, adversarial machine learning, data privacy, digital twin applications, GANS, multimodal data analysis. She is currently working in the application domains of healthcare, sentiment analysis, emotion detection and machine simulation via which she is also guiding several UG, PG and PhD students as a domain expert. She has published research articles in reputed international conferences and Scopus/ web of science indexed journals, books. Dr Shruti has also been invited to deliver talks related with her expertise in various prestigious institutions.
Dr. Satish Kumar, Associate Faculty, SCAAI
Dr. Satish Kumar is a young researcher and a keen academician. He is captivated by technology oriented innovative concepts and always looks ahead to execute interdisciplinary projects. He has his expertise in application of Artificial Intelligence into a variety of crucial manufacturing processes, including quality enhancement, process improvement, and optimization. He is now working on several industrial 4.0 initiatives, including digital twin smart manufacturing, remaining usable life estimation, and others. He has authored more than 30 Scopus/WoS indexed international/national journal and conferences publications. He has recently published a patent on “Micro-oxidation Coating device”. He is also currently editing Taylor & Francis CRC Pressbook titled "Industry 4.0 in Small and Medium-Sized Enterprises (SMEs): Opportunities, Challenges, and Solutions." He has completed various research funded proposals at Symbiosis International Deemed University and is also currently working on two research proposals “Inferring quality and fault localization of 3D printer products using Digital twin” and “Artificial Intelligence-based fault detection in bearing using vibration and sound sensor”. One student was recently awarded PhD. under his supervision and is currently guiding 5 Ph.D. research scholars.
Dr. Satish Kumar is also an expert reviewer on board for IEEE Access, Silicon, PeerJ Computer Science Surface Topography: Metrology and Properties, Material Research Express and other reputed journals. He was also deputed for research initiatives at Symbiosis Centre for Research and Innovation (SCRI). He has delivered many talks at leading universities on Industry 4.0 and Smart Manufacturing. His research work can be found at
Symbiosis Centre For Research and Innovation (SCRI), established in 2009, is the dedicated department of Symbiosis International (Deemed University) for promoting and facilitating research among students and faculty. Through its academic and administrative services, SCRI enables researchers to achieve excellence in their work, and eventually, translates SIU's vision of creation of knowledge for the benefit of the Society into reality.