Abstract
Research in predictive
maintenance is increasingly
focused on leveraging advanced
data analytics, machine
learning, and Internet of Things
(IoT) technologies to predict
equipment failures and optimize
maintenance schedules. Key
directions include the
development of more accurate and
scalable predictive models that
integrate real-time sensor data,
historical maintenance records,
and operational conditions.
Additionally, there is growing
interest in enhancing anomaly
detection techniques, improving
the interpretability of machine
learning models for maintenance
decisions, and incorporating
predictive insights into
automated decision-making
systems. Researchers are also
exploring the integration of
digital twins, edge computing,
and AI-driven optimization
algorithms to create adaptive,
real-time predictive maintenance
frameworks that can reduce
downtime, extend asset lifespan,
and improve overall system
efficiency. Talk will throw some
lights on addressing these
challenges.
Short Bio
Dr. Ketan Kotecha is a
distinguished researcher and
educator specializing in deep
learning, artificial
intelligence, computer
algorithms, and machine
learning. Passionate about
fostering critical thinking
skills, he has mentored 25 PhD
students to successful outcomes.
With over 30 years of experience
at the forefront of AI and deep
learning, Dr. Kotecha is
globally recognized, ranking
among the top 2% scientists
worldwide, a distinction
conferred by Stanford
University. He boasts a prolific
publication record, with over
450 Scopus-indexed papers and 12
patents to his name. His work,
cited over 11,000 times,
reflects his profound impact on
the field. Dr. Kotecha's
expertise extends to securing
prestigious research funding for
Applied AI projects. Notable
grants include a PURSE grant
from DST worth INR 5.2 crores in
AI for affordable Healthcare and
a Ministry of Electronics and
Information Technology grant
worth INR 199.04 lakhs on Human
Computer Interface, highlighting
his leadership in impactful
research. Recognized for his
contributions, Dr. Kotecha has
received grants such as the
Indo-Canada Shastri grant SSTSG
2023-24 and SPARC projects worth
INR 166 lakhs from MHRD. His
accolades also include Erasmus
Plus Faculty Mobility Grant,
DUO-India Professors Fellowship,
grants from the Royal Academy of
Engineering and DST under
Indo-Italy and Indo-Serbia
schemes. He was also selected by
MHRD Govt of India for a
prestigious LEAP grant for
leadership program at Cambridge
University UK. He also received
3 projects from DRDO worth INR
30 lacs and 4 projects from UAEU
university under 'AI for
Sustainability' grant. He has
also received grant from RUDN
university for AI for predictive
maintenance. Dr. Kotecha has led
consultancy projects with
industry giants Philips, Avegen,
ArcOne & Dassault Systems
demonstrating his ability to
bridge academia and industry.
His leadership at SIT Pune has
secured significant CSR grants
and government funding for
initiatives such as the Bajaj
Engineering Skills Training
Centre(worth INR 30 crores) and
a 5G use case lab in
AI+telemedicine (worth INR 50
lacs). As an Adjunct Professor
at Swinburne University,
Australia, Honorary Professor at
Aston University UK and a
visiting professor at UCSI
University Malaysia, Dr. Kotecha
continues to expand his global
footprint in academia.