About
My primary passion is grooming young minds and making them realize their own possibilities. I am an academic at heart. I enjoy building competency (knowledge, process, mindset) and in University, I am redoing what I did in corporate world. As a teacher, besides teaching a subject, I teach how to think. I am now a learner, an educator and a researcher. I am one of the founding members of Dept of CSE (AI & ML) in PES University and is part of it's growth story. As a research guide, I participate actively instead of providing just executive guidance. I have worked for 26+ years first in Indian Space Research Organization and subsequently in industry in various roles in all parts of the product life cycle i.e. consulting, professional services, and engineering both as individual contributor and as manager/director. I have worked both in system software and application software in diverse domains i.e. networking, finance and automobile. So, I am comfortable with changing the playground. My management experience has been mostly in product engineering and change management in engineering organizations. Curiosity, constant learning, and embracing changes are my key values. What I carry forward into the current academic setup are my management training, deep and broad exposure to industry (services and products), and ability to spot as well as mentor high-performers, and lead from the front. I usually lose interest in the obvious. Through my corporate years, I developed a keen interest in the macro patterns instead of the corporate ladder and my current passion in research is a continuation of that journey.
My LinkedIn Profile : https://www.linkedin.com/in/bhaskarjyoti/?originalSubdomain=in
Research Areas
9- Focused on research efforts with young, imaginative, and curious minds who are willing to think and eager to implement. So far, I have guided 250+ students through their Capstone Projects (Research Credits in earlier days).
- Foundational & Interdisciplinary ML and Agentic AI across multiple contexts with sparse labelled data in diverse domains such as Computational social science, Computational biology, Digital Health, Information security, Cheminformatics, Supply Chain, etc. The common thread across all of them is serious, advanced ML & Agentic AI that enables interdisciplinary and foundational research.
- Generative AI - Foundation Models, training, and optimization, Thinking and reasoning agents seeking meaningful consensus, Boundaries of GEN AI and Large Language Models in Interdisciplinary Machine Learning.
- Algorithms and Optimizations in Machine Learning with Euclidean (text, image) and Non-Euclidean data (graph). Semantics of multimodal figurative language with knowledge context.
- Human Machine Interface - the complementary hemispheres of Biosignal (EEG, ECG, EMG, fMRI, fNIRS) and Cognitive Science ( Memory, Attention, Cognitive Load, Emotion)
- Computational Biology and multiomics - Genomics, Proteomics, Transcriptomics, Metabolomics and applications with the help of AI & ML
- Computational Social Science - how algorithms and meaning construction affect cultural cognition, identity, and behavior of individuals, discovering hidden patterns in large datasets toward understanding the deeper causal, social, organizational, and behavioral reasons behind those patterns. Deconstructing the mind behind the actions.
- Reviewer @ Nature(Scientific Reports, Humanities and Social Sciences Communication), Elsevier (Engg. Applications in Artificial Intelligence), Springer Nature(Social Network Analysis and Mining, Artificial Intelligence Review), Discover (Computing, Data, Artificial Intelligence, Sustainability), Frontiers in (AI, Political Science, Human Dynamics, Plant Science, Cell Biology), EPJ Data Science
- Editorial Board Member in a Nature journal - Humanities and Social Science Communications
Publications
4- ORCID : https://orcid.org/0000-0003-1225-9354
- Google Scholar : https://scholar.google.com/citations?hl=en&user=d6gtOwwAAAAJ&view_op=list_works
- Web of Science ID : PCS-3851-2025
- Scopus ID : 57191032605
Teaching
10Education
7-
PhD in Computer Science and EngineeringPES University2024
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M Tech Computer Science Engineering, First class with distinctionVisvesvaraya Technological University2016
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Leadership and Strategic ManagementCornell University2010
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Advanced Management Program ( AMP)IIM Bengaluru and ESADE Barcelona2009
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Executive General Management Program ( EGMP)IIM Bengaluru2007
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Bachelors of Electronics and Telecommunication Engineering ( BETCE), First Class with HonorsJadavpur University, Kolkata1985
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Rank holder in state of West Bengal in Secondary and Higher SecondaryHindu School, Kolkata1981
Experience
12-
Adjunct Professor ( Full time)PES University (RR Campus), Dept of CSE (AI & ML)2023 – Till date
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Adjunct Faculty (CSE) and part time PhD ScholarPES University, Dept of CSE @ RR Campus2017 – 2023
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Consulting roles at various placesSelf employed2011 – 2016
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Associate Vice President and Head of EngineeringLogix Microsystems2010 – 2011
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Director, EngineeringYahoo!2008 – 2010
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Senior Engineering ManagerSun Microsystems2001 – 2008
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Program ManagerVerifone Inc.1998 – 2001
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Competency Manager -Virtual BankingNCR Corporation1996 – 1998
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Technology ConsultantHCL Hewlett Packard1994 – 1996
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Network ManagerAnandbazar Group of Publications ( ABP Ltd)1992 – 1994
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System AnalystTata Consultancy Services1989 – 1992
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Scientist /EngineerSpace Application Center, ISRO1985 – 1989
Achievements
2- In my corporate life, I have built high performance product engineering teams from scratch more than once delivering outcome rather than output.
- In my current life as Educator and Mentor of young minds in the period (2018-2023), I have published more than 100 research papers out of projects in which I have actively contributed.
Responsibilities
4- Teach, mentor brand-builders, build competitive edge and future-leaning skill sets.
- B Tech Thesis guide. Currently guiding 22 Capstone/Research Teams and a MS Thesis abroad for their research projects.
- Active role in Curriculum Strategy - proactive curriculum contribution to stay in synch with AI-induced changes.
- Introduced and anchored multiple advanced Elective courses in the areas of Machine Learning in past 9 years.