Dr. Bhaskarjyoti Das
Adjunct Professor
- Teaching
About
My primary passion is grooming young minds and making them realize their own possibilities. I enjoy building competency (knowledge, process, mindset) and in University, I am redoing what I did in corporate world. 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 government R&D and then 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
Adjunct Professor ( Full time), PES University (RR Campus), Dept of CSE (AI & ML), 2023 - Till date
Adjunct Faculty (CSE) and part time PhD Scholar, PES University, Dept of CSE @ RR Campus, 2017 - 2023
Consulting roles at various places, Self employed, 2011 - 2016
Associate Vice President and Head of Engineering, Logix Microsystems, 2010 - 2011
Director, Engineering, Yahoo!, 2008 - 2010
Senior Engineering Manager, Sun Microsystems, 2001 - 2008
Program Manager, Verifone Inc., 1998 - 2001
Competency Manager -Virtual Banking, NCR Corporation, 1996 - 1998
Technology Consultant, HCL Hewlett Packard, 1994 - 1996
Network Manager, Anandbazar Group of Publications ( ABP Ltd), 1992 - 1994
System Analyst, Tata Consultancy Services, 1989 - 1992
Scientist /Engineer, Space Application Center, ISRO, 1985 - 1989
I am trained in management and have various useful professional qualifications such as Advanced Project and Program Management (SCPM) from Stanford University, PMP, Six Sigma Black Belt, Certified Lean Expert, ScrumMaster, SNIA certified Storage Professional etc.
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.
Machine Learning , Machine Intelligence, Algorithms and Optimizations for Machine Learning, Advanced Foundations for Machine Learning
Natural Language Processing, Natural Language Processing with Deep Learning
Social Network Analytics, Social Computing
Network Analysis and Mining , Interdisciplinary Deep Learning on Graph
Algorithms for Intelligent Web and Information Retrieval, Search and Information Retrieval
Data Analytics , Advanced Data Analytics
Graph Theory and Applications
Software Engineering
Mathematics for Machine Learning
Teach to build competitive edge and future-leaning skill sets
B Tech and M Tech(some time) Thesis guide
Curriculum contribution to stay in synch with the changing market place
I am focused on research efforts with young, imaginative and curious minds who are willing to think future and also code (a means to the end).
Interdisciplinary Machine learning with multiple contexts and sparse labelled data in diverse domains such as Computational social science, Computational Biology, Information Security, Urban Infrastructure Computing, Chem-informatics etc.
Generative AI - Foundation Models and training, Thinking and reasoning agents with memory, Boundaries of GEN AI
Algorithms and Optimizations in Machine Learning with Euclidean (text, image) and Non-Euclidean data (graph). Semantics of multimodal data 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
I have a broad set of interests. I review for various Journals such as Social Network Analysis and Mining, Humanities and Social Sciences Communication, Discover Computing, Discover Data, Frontiers in Political Science, Frontiers in Human Dynamics, EPJ Data Science etc.
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ORCID : https://orcid.org/0000-0003-1225-9354
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Google Scholar : https://scholar.google.com/citations?hl=en&user=d6gtOwwAAAAJ&view_op=list_works
Education
Bachelors of Electronics and Telecommunication Engineering ( BETCE), First Class with Honors, Jadavpur University, Kolkata, 1985
M Tech Computer Science Engineering, First class with distinction, Visvesvaraya Technological University, 2016
Executive General Management Program ( EGMP), IIM Bengaluru, 2007
Advanced Management Program ( AMP), IIM Bengaluru, ESADE Barcelona, 2009
Leadership and Strategic Management, Cornell University, 2010
PhD in Computer Science and Engineering, PES University, 2024