PES University Staff Directory Go to PES.edu

Know their name?

Skip the browsing — jump straight to a name or department with search.

All Staff A–Z Sign In
All Campuses 080‑10‑297297
All Staff A–Z About Our Faculty
Home Leadership About Faculty
Admission Sign In
Home/ Staff A–Z/ Dr. Bhaskarjyoti Das
Bhaskarjyoti Das
Teaching

Dr. Bhaskarjyoti Das

Adjunct Professor

Computer Science (AIML) RR Campus bhaskarjyotidas@pes.edu +91 80 2672 1983
9
Research Areas
4
Publications
10
Courses Taught
7
Qualifications
12
Roles Held
2
Achievements

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
Research Guidance
  • 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).
Research Interest
  • 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
Others
  • 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

10
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 EngineeringMathematics for Machine Learning I primarily teach advanced machine learning and AI - foundations, methods, and applications.

Education

7
  • PhD in Computer Science and Engineering
    PES University
    2024
  • M Tech Computer Science Engineering, First class with distinction
    Visvesvaraya Technological University
    2016
  • Leadership and Strategic Management
    Cornell University
    2010
  • Advanced Management Program ( AMP)
    IIM Bengaluru and ESADE Barcelona
    2009
  • Executive General Management Program ( EGMP)
    IIM Bengaluru
    2007
  • Bachelors of Electronics and Telecommunication Engineering ( BETCE), First Class with Honors
    Jadavpur University, Kolkata
    1985
  • Rank holder in state of West Bengal in Secondary and Higher Secondary
    Hindu School, Kolkata
    1981

Experience

12
  • 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

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.

Additional Info

1
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.

Campus

RR Campus