Industry Session-1 by Hitachi India
Abstract of the Workshop
As AI technologies advance, industries are harnessing breakthroughs in
vision, speech, language, and optimization to develop intelligent,
transformative solutions. This session will showcase innovative work
addressing critical challenges in deploying AI across diverse industrial
applications. Key topics include real-time AI inference for enhanced
operational efficiency, advanced speaker identification for secure
authentication, AI-driven safety protocols that minimize industrial
risks. Additionally, AI-based optimization techniques for energy
management will be highlighted, focusing on strategies for reducing
costs and environmental impacts. Each team will share insights into
overcoming unique challenges—ranging from scaling inference systems to
meeting stringent safety standards—and present cutting-edge technologies
developed to address these issues. Through this exploration of practical
complexities and achievements in industrial AI, the session aims to
inspire further innovation and cross-industry collaboration.
Biography - Speakers
Manikandan is a Researcher working at Computer Vision Research Group
at R&D Centre, Hitachi India to better understand how to improve
software products across multiple areas including ADAS, Healthcare
and Safety using Artificial Intelligence and Computer Vision. His
expertise includes development and implementation of efficient
mathematical algorithms for large scale AI analytics and devising
scalable solutions to complex AI problems. He obtained his Master’s
from Georgia Institute of Technology in Machine learning and
Interactive Intelligence with focus on NLP and its application for
low resource languages. He is the winner of ACL 2023, outstanding
reviewer award.
In the past, he was a visiting researcher at the DeLTA Lab,
Dept of CSE at IIT-Kanpur. He has served in Program Committee of
IEEE ICDDS, ACM ICMR, ACL, NAACL, EMNLP, COLING, Springer Language
Resources and Evaluation Journal (LRE), ACM Transactions on Asian
and Low-Resource Language Information Processing (TALLIP), Journal
of Experimental and Theoretical Artificial Intelligence (JETAI) and
Elsevier Journal of Engineering Applications of Artificial
Intelligence (EAAI). In the past he has also co-organized workshops
including Workshop on Cross Modal Learning (WCRML 2019) at ACM ICMR,
shared task on Offensive Span Identification at Second and Third
Workshop on Speech and Language Technologies for Dravidian Languages
(2022, 2023), Constraint Workshop (IEEE ICMLA, IEEE Bigdata).
Ananth Ganesh is the Deputy General Manager working at the Computer
Vision Research Group at R&D Centre, Hitachi India solving problems
in the areas of Electric Vehicles, Automotive & Manufacturing and
Speech Processing for Vernacular AI systems. He has extensive
industry experience spanning over two decades with works on object
detection, segmentation, GANs and edge computing.
Earlier he was the Principal Data Scientist & Practice
Area Leader (AI & Analytics) at IBM and worked on building solutions
in vision, speech & NLP domains across multiple industrial use
cases. He served in the IAF for more than two decades working on
speech software development for avionics systems and leading
software development for Next Generation Fighter platforms.
He has completed his MTech (Computer Science & Engineering) from IIT
Madras and MSc from Madras University. He has presented multiple
papers in IEEE ICMLA, IEEE Bigdata, ICPR, Aerospace Journal,
Aeronautics Society of India.
Nilanjan Chakravortty is a seasoned professional with over 35 years
of experience, including more than a decade specializing in
Artificial Intelligence (AI) and Machine Learning (ML). He currently
leads AI Research and Development at Hitachi India, where he has
driven transformative projects using advanced techniques like deep
learning, neural networks, and Generative AI. His work in this area
includes innovative applications such as fault tree analysis for
industrial equipment, leveraging technologies like Chain of
Thoughts, Graph of Thoughts, and Retrieval Augmented Generation
(RAG).
Mr. Chakravortty has also made significant
contributions to optimizing large multimodal models, driving
innovation across sectors such as manufacturing, banking, and
Intelligent Transportation Systems.
In addition to his
role at Hitachi, Mr. Chakravortty has extensive experience with
renowned companies like IBM, where he led global projects focused on
cognitive digitization. His work applied AI and ML to solve complex
business challenges, particularly for clients in banking and
manufacturing. Over the years, he has held leadership roles in
various organizations, playing a pivotal role in developing
solutions for smart cities, IoT, and industrial automation.
His deep expertise also extends to Healthcare IT, where
he has worked on diagnostic solutions and IoT-based medical devices.
Mr. Chakravortty is recognized as a thought leader in AI, frequently
invited to speak at industry forums on the impact of AI and its role
in driving social innovations
Dr. Senthil is a chief researcher at R&D Center, Hitachi India Pvt Ltd, with specialty in speech and signal processing. His research interest are broadly in speech processing, signal processing and vernacular language analysis. Earlier he was part of Qualcomm research working on noise sensor and noise cancellation technology with numerous patents.
Sheetal Kumar K R is a Senior Research Engineer at HITACHI INDIA
PVT. LTD. He earned a Bachelor of Engineering (B.E.) in
Environmental Engineering from Sri Jayachamarajendra College of
Engineering, Mysore, and completed both his Master of Engineering
(M.E.) and Ph.D. in Civil and Environmental Engineering at the
Indian Institute of Science, Bangalore.
After completing his B.E., he worked as an Assistant Engineer at
Tata Consulting Engineers in Mumbai. Following his M.E., he served
as a Technical Associate at the Robert Bosch Center for
Cyber-Physical Systems (RBCCPS).