Bhaskar Jyoti Das

Adjunct Professor
  • Teaching


My primary passion is grooming young minds and making them realize their own possibilities. I enjoy building competency (knowledge, process, mindset). I joined PES as Adjunct Faculty and Part-time Ph.D. Scholar in May 2017. I have been primarily a teacher and researcher. I am focused on all aspects of AI/ML and its applications. As a research guide, I participate actively instead of providing just executive guidance. Starting 2017, I have so far guided around 100 UG students and 3 PG students for their final year thesis. 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. I have worked both in system software and application software in diverse domains i.e. networking, finance and automobile. 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. Through the years, I developed a keen interest in the macro patterns instead of the corporate ladder and willingly experimented with roles and domains to satisfy my curiosity.


  • 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


  • Adjunct Professor ( Full time), PES University (RR Campus), Dept of CSE in AI & ML, 2023 - Till date

  • Visiting Faculty (CSE) and 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

Additional Information

  • 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 65 research papers out of projects in which I have actively contributed.


  • Machine Learning

  • Natural Language Processing

  • Social Network Analytics

  • Network Analysis and Mining

  • Algorithms for Intelligent Web and Information Retrieval

  • Data Analytics

  • Graph Theory and Applications

  • Software Engineering

  • Mathematics for Machine Learning


  • Currently serving as Adjunct Professor (full time) in CSE-AIML Dept.

  • B Tech and M Tech Thesis guide

  • Syllabus update

Research Interest

  • Classical ML, Deep Learning

  • Graph Machine Learning

  • Interdisciplinary Machine learning (computational social science, computational biology, cognitive computing etc)

  • Multi-modal (image and text) Machine Learning

  • Natural Language Processing With Deep Learning

  • Machine Learning in Information Retrieval

  • Multi Contextual Machine Learning with sparse labeled data etc.

Research Guidance

  • I am focused on research efforts with young, enthusiastic and curious minds. I guide publication worthy research projects in various areas and applications of AI and ML.


  • ORCID :

  • Google Scholar :

 Staff Contacts
 Staff Campus Location
 RR Campus

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