Back to Top

About

Expertise: Dr. Ketan Kotecha is a highly acclaimed researcher and educator in deep learning, artificial intelligence, computer algorithms, and machine learning, with a passion for cultivating higher-order thinking skills and critical thinking. He has mentored over 20 PhD students to success, and his editorial board appointments with IEEE Access, PeerJ Computer Science journal, Cogent Journal by Taylor & Francis, and Frontiers Journals reflect his standing as a thought leader in the field. Experience:Dr. Kotecha is a world-renowned expert in AI and deep learning, with over 30 years of experience at the forefront of the field. He has recently achieved global recognition as one of the top 2% scientists worldwide, a distinction conferred by Stanford University. Dr Kotecha has published over 300 Scopus-indexed papers, and his work has been cited over 6,000 times. He also has an impressive i-10 index of 118. He has also published 10 patents. He has secured prestigious research funding for Applied AI projects, including a PURSE grant from DST under the Promotion of University Research and Scientific Excellence scheme worth INR 5.2 cores and a grant from the Ministry of Electronics and Information Technology (MeitY), Government of India, worth INR 199.04 lakhs. These grants reflect his standing as a leading researcher in the field, and his work has the potential to make a significant impact on society. A highly acclaimed researcher with a track record of securing prestigious funding and awards, he has recently received the Indo-Canada Shastri grant SSTSG 2023-24, in collaboration with the University of Winnipeg, for his project on Multimodal Co-learning tolerance soft computing for Real-life Deep Learning Applications. In the past, he has been awarded SPARC projects worth INR 166 lacs from MHRD, Government of India, for AI projects with Arizona State University, USA, and the University of Queensland, Australia, respectively. He is also the recipient of numerous other prestigious awards, including the Erasmus Plus Faculty Mobility Grant to the University of Wroclaw, Poland; the DUO-India Professors Fellowship for research in Responsible AI with Brunel University, UK; a grant from the Royal Academy of Engineering, UK, under the Newton Bhabha Fund; the Going Global Partnerships Exploratory Grant from the British Council, UK, in collaboration with Aston University; and two projects from DST under the Indo-Italy and Indo-Serbia schemes, worth Rs. 70 lacs. Dr. Kotecha has also secured consultancy projects on AI in healthcare with Philips and Avegen, two leading global companies in the healthcare and technology industries. Under his acumen leadership, SIT Pune has grabbed a significant INR 30 crore CSR grant from Bajaj Auto to establish the Bajaj Engineering Skills Training Centre (BEST) and a grant of INR 50 Lakhs from the Ministry of Telecommunication to setup 5G use case lab in the domain of AI+telemedicine at SIT Pune. The BEST skill centre will provide advanced manufacturing skills training to engineering graduates, helping to bridge the skills gap and prepare them for the future workforce. Dr. Kotecha was awarded the prestigious LEAP grant from the Ministry of Human Resource Development, Government of India, to participate in a leadership training program at Cambridge University, UK, and IIT Kharagpur. Dr. Kotecha has also been appointed as an Adjunct Professor at Swinburne University, Australia, a prestigious university with a global reputation for excellence in research and education. He is also a visiting professor at the prestigious UCSI University Malaysia. Under his leadership Symbiosis Institute of Pune has partnered with prominent global universities such as Aston University and Loughborough University, United Kingdom for collaborative undergraduate programs. A highly sought-after keynote speaker in the field of AI, Dr. Kotecha has been invited to address prestigious forums such as the Machine Intelligence Lab at USA, Pretoria University, South Africa, IIT Bombay under World Bank Project, Global Meet on Sensors and Sensing Technology in Italy, and the 2nd International Congress on AI and Machine Learning in the Czech Republic. Under Dr. Kotecha's visionary leadership, SIT Pune has become the most sought-after destination for students and faculty alike.

View More >>

Skills

Experience

Dean and Professor

Symbiosis International (Deemed University)

May-2018 to Present
Adjunct Professor

Swinburne University of Technology, Hawthorn

Jan-2023 to Jan-2025
Vice Chancellor

Parul University

Jul-2015 to Apr-2018

Education

IIT Bombay (Indian Institute of Technology Bombay)

Ph.D. in Engineering & Technology

Passout Year: 2003
IIT Bombay (Indian Institute of Technology Bombay)

M.E. in Global Optimization

Passout Year: 2000
Birla Vishvakarma Mahavidyalaya Engineering College (BVM)

B.E in Electrical, Electronics and Communications Engineering

Passout Year: 1995

Publication

A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions

Deep learning has seen significant growth recently and is now applied to a wide range of conventional use cases, including graphs. Graph data provides relational information between elements...

Securing AI-based healthcare systems using blockchain technology: A state-of-the-art systematic literature review and future research directions

Healthcare institutions are progressively integrating artificial intelligence (AI) into their operations. The extraordinary potential of AI is restricted by insufficient medical data for AI ...

A systematic review of privacy-preserving methods deployed with blockchain and federated learning for the telemedicine

The unexpected and rapid spread of the COVID-19 pandemic has amplified the acceptance of remote healthcare systems such as telemedicine. Telemedicine effectively provides remote communicatio...

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research

Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of machinery. The majority of these machines comprise rotating components and are called rotating m...

Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions

Human behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the different experiences or characteristics of consciousness/emotions, such as joy, grief, anger, et...

Multimodal pedestrian detection using metaheuristics with deep convolutional neural network in crowded scenes

Pedestrian detection (PD) is a vital computer vision (CV) problem that is highly employed in several real-time applications, namely autonomous driving methods, robotics, and security observi...

A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection

Artificial Intelligence (AI) has been used for processing data to make decisions, Interact with humans, and understand their feelings and emotions. With the advent of the Internet, people sh...

Blockchain-based trust mechanism for digital twin empowered Industrial Internet of Things

Emerging technologies such as blockchain and digital twins are essential for the rapid development and employment in Industry 5.0 revolution. With the growing number of industrial IoT nodes,...

IoT-Driven Artificial Intelligence Technique for Fertilizer Recommendation Model

Smart farming systems emphasize the need for modern technologies like the Internet of Things, Cloud, and Artificial Intelligence (AI) in the agricultural process. The digital transformation ...

Reinforcement learning for predictive maintenance: a systematic technical review

The manufacturing world is subject to ever-increasing cost optimization pressures. Maintenance adds to cost and disrupts production; optimized maintenance is therefore of utmost interest. As...

Projects

Mar-2022 to Present

Investigating the effects of age of onset on the structural connectome in essential tremor through H...

40 Laks

Funded by DBT (Bangalore, IN)

Feb-2020 to Present

Developing algorithms towards Responsible Artificial Intelligence under Asia - Europe Meeting

INR 4,007,000

Funded by ASEM-DUO (Europe , GB)

Mar-2019 to Present

Principal Investigator of Project Titled - Development of Algorithms for Credibility Analysis of Inf...

INR 82.36 Lakhs

Funded by SPARC Scheme

Mar-2019 to Present

Co-Principal Investigator of Project Title: Development of Explainable AI Techniques for Complex Dis...

INR 84.36Lakhs

Funded by SPARC Scheme

Sep-2023 to Present

Multimodal Co-learning & tolerance based soft computing for Real-life Deep Learning Applications

Recipient of Indo-canada Shastri grant ( as PI) SSTSG 2023-24 in collaboration with University of Winnipeg
Aug-2023 to Present

Fostering Multi-disciplinary AI-assisted Research for Health and Sustainable Environment

PURSE(Promotion of University Research and Scientific Excellence)
Dec-2022 to Oct-2023

Industry-inspired Transnational Education in Artificial Intelligence / Machine Learning

10 Lakhs - 20 Lakhs

Funded by British Council

we have received Going Global Exploratory Top-Up Grant of British Council, UK jointly with Aston University, Bermingham with our Director Dr Ketan Kotecha as the Principal applicant from SIT.
...see more
Nov-2021 to Nov-2022

Industry-inspired Transnational Education in Artificial Intelligence / Machine Learning

INR 10

Funded by British Council (United Kingdom, IN)

we have received Going Global Grant of British Council, UK jointly with Aston University, Bermingham with our Director Dr Ketan Kotecha as the Principal applicant from SIT. The proposal titled " Industry-inspired Transnational Education in Artificial Intelligence / Machine Learning" fetched a grant of £15,000. This grant is aimed at India-UK partnership for the co-creation of programmes of study. It involves joint creation and teaching of modules, technical events and faculty mobility from either side thereby enhancing opportunities for students in India and UK to experience an international experience.
...see more
Mar-2022 to Mar-2024

Multi-Model Neuro-Physiological Framework for Cognitive Behavioral Analysis

INR 19,966,000

Funded by Ministry of Electronics and Information Technology (MeitY) (New Delhi, India, IN)

Mar-2019 to Mar-2021

Development of Algorithms for Credibility Analysis of Information(CAI) (PI)

INR 8,236,000

Funded by Ministry of Human Resource Development (GOI, IN)

Mar-2019 to Mar-2021

Development of Explainable AI Techniques for Complex Disease Diagnosis using Genomics Data (Co-PI)

INR 8,436,000

Funded by Ministry of Human Resource Development (GOI, IN)

Jan-2022 to Jan-2024

Development of real-time traffic control algorithms for unconventional intersection designs using ar...

20 Lakhs - 40 Lakhs

Funded by India-Serbia Joint Call (Serbia, RS)

Jan-2022 to Jan-2024

Multimodal Explainability for Object Detection and Image processing in Drone Imagery

Above 40 Lakhs

Funded by Indo-Italy Bilateral Research Mobility Grant Scheme of DST (Italy, IT)

Nov-2019 to Jan-2020

LEAP

INR 1,000,000

Funded by Ministry of Human Resource Development (GOI, IN)

Recipient of LEAP grant (INR 10 lacs) from MHRD Govt of India in collaboration with IIT Kharagpur and University of Cambridge UK, Nov 2019-Jan 2020.
Aug-2020 to Aug-2022

ASME DUO

ASME DUO Professor Fellowship Award 2020 on Responsible AI and Robotics with Brunel University, UK

Conference/Seminar/STTP/FDP/Symposium/Workshop

Conference
  • dott image Mar 2024

Framework for Reverse Supply Chain Using Sustainable Return Policy

Hosted By:

Springer, Singapore ,

Singapore, Singapore
Bajaj, T., Parashar, S., Choudhury, T., Kotecha, K. (2024). Framework for Reverse Supply Chain Using Sustainable Return Policy. In: Sharma, D.K., Peng, SL., Sharma, R., Jeon, G. (eds) Micro-Electronics and Telecommunication Engineering. ICMETE 2023. Lecture Notes in Networks and Systems, vol 894. Springer, Singapore. https://doi.org/10.1007/978-981-99-9562-2_43
...see more
Conference
  • dott image Dec 2011

A survey on various cluster head election algorithms for MANET

Hosted By:

Nirma University Ahmedabad ,

Ahmedabad, Gujarat, India
In large Mobile Ad Hoc Networks (MANET), forming clusters of nodes has been verified to be a promising approach in high mobility network. The characteristics of MANETs are dynamic topology, bandwidth and link capacity, nodes are energy constrained. Clustering methods allow fast connection and topology management, better routing and also improve network performance parameters like routing delay, bandwidth consumption and throughput. In MANET, topology changes dynamically, so to achieve good performance any clustering algorithm should operate with minimum overhead of cluster maintenance and try to preserve its structure as much as possible when nodes are moving and/or the topology is slowly changing. A large variety of approaches for ad hoc clustering have been developed by researchers which focuses on different performance metrics. This paper presents a survey of different clustering schemes. A comparative analysis of various techniques also have been covered in this paper.
...see more

Membership

dott image
Membership

International Association of Engineers (IAENG)

From year 2020 to 2021
dott image
Member

Institution of Engineers India (IEI), Kolkata

From year 2020 to 2020

Invited Position

dott image
Invitation being a speaker in AICTE-GTU sponsored e-FDP

Anand Pharmacy College (APC), Anand

From year 2022 to 2022
dott image
Deep Learning

Navrachana University

From year 2018 to 2018

https://www.youtube.com/watch?v=2yMTft-W9xM

Honours & Awards

dott image
Special Session Chair
Awarded by:

XJTLU Entrepreneur College (Taicang), Xian Jiaotong Liverpool University, Taicang, China

Year: 2024
dott image
Best Paper Award
Awarded by:

International Conference Recent Advances in Science and Engineering RAiSE 2023

Year: 2023
dott image
DUO- INDIA Professor fellowship under Asia - Europe Meeting (ASEM-DUO)
Awarded by:

Brunel University, UK, 2020

Year: 2020
dott image
Recipient of LEAP ( Leadership for Academicians Programme) grant
Awarded by:

MHRD, Govt of India

Year: 2019

Doctoral and Master Thesis Guided

An Efficient Deep Convolutional Neural Network Approach for Object Detection and Recognition from a video sequence using Multi-Scale Anchor Box
Research Scholar:

Dweepna Garg (Ph.D. Thesis)

Institute : Parul University

Area of research: Engineering & Technology

Trend indentification in Microblogs
Research Scholar:

Pradyumansinh Jadeja (Ph.D. Thesis)

Institute : Nirma University Ahmedabad

Area of research: Engineering & Technology

Early Anticipation of Driver
Research Scholar:

Shilpa Gite (Ph.D. Thesis)

Institute : Symbiosis International (Deemed University)

Area of research: Engineering & Technology

Patent

  • dott image Engineering
A Novel unsupervised video surveillance system
Assignee:

Indian

Filing Country:

India

Filing Month:

Nov 2014

Application No:

3552/MUM/2014

Patent No:

3552/MUM/2014 A

Publication status:

Published

Publication Date:

May 2020

Inventor(s): Sharnil PANDYA, Ketan Dr. KOTECHA
  • dott image Engineering
KNOWLEDGE BASED DECISION MAKING SYSTEM FOR OPTIMIZING HOUSEHOLD ELECTRICITY ENERGY BILL
Assignee:

Symbiosis International University

Filing Country:

India

Filing Month:

Mar 2023

Application No:

202321014493A

Patent No:

202321014493A

Publication status:

Published

Publication Date:

Mar 2023

Inventor(s): Self
  • dott image Engineering
A Mobile Application Based Portable ESIM Integrated GPS Device for Tracking Things Called “Quito Trackers”
Assignee:

Symbiosis International University

Filing Country:

India

Filing Month:

Mar 2023

Application No:

202321019122

Patent No:

202321019122

Publication status:

Published

Publication Date:

Mar 2023

Inventor(s): Self
  • dott image Engineering
AN AIR-COOLING SYSTEM AND METHOD THEREOF
Assignee:

Indian

Filing Country:

India

Filing Month:

Jan 2021

Application No:

202021047628 A

Patent No:

202021047628 A

Publication status:

Published

Publication Date:

Feb 2021

Inventor(s): K. Kotecha, Sharnil Pandya, Sur Anirban
  • dott image Engineering
System and method of Turning on or off vehicle systems using a Smartphone
Assignee:

Indian

Filing Country:

India

Filing Month:

Jul 2016

Application No:

201621025867

Patent No:

201621025867

Publication status:

Published

Publication Date:

Feb 2018

Inventor(s): Sharnil PANDYA, Ketan Dr. KOTECHA
  • dott image Engineering
MACHINE LEARNING BASED ARTIFICIAL TASTE PERCEPTION MODEL FOR TEA GRADING
Assignee:

Symbiosis International University

Filing Country:

India

Filing Month:

Apr 2023

Application No:

202321029971

Patent No:

202321029971

Publication status:

Published

Publication Date:

Apr 2023

Inventor(s): Self
  • dott image Engineering
A PROCESS OF FRICTION SPRAY ALLOYING AND AN APPARATUS THEREOF
Assignee:

Symbiosis International University

Filing Country:

India

Filing Month:

Apr 2023

Application No:

202321029967

Patent No:

202321029967

Publication status:

Published

Publication Date:

Apr 2023

Inventor(s): Self