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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
8
Research Areas
2
Publications
9
Courses Taught
6
Qualifications
12
Roles Held
2
Achievements

About

My primary passion is grooming young minds and making them realize their own possibilities. I enjoy building competency (knowledge, process, mindset). I have been primarily an educator and a researcher. I am focused on all aspects of AI/ML and its applications and is one of the founding members of Dept of CSE (AI & ML) in PES University. As a research guide, I participate actively instead of providing just executive guidance. Starting 2017, I have so far guided around 150+ 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.

My LinkedIn Profile : https://www.linkedin.com/in/bhaskarjyoti/?originalSubdomain=in

Research Areas

8
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.
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.

Publications

2
Others
  • ORCID : https://orcid.org/0000-0003-1225-9354
  • Google Scholar : https://scholar.google.com/citations?hl=en&user=d6gtOwwAAAAJ&view_op=list_works

Teaching

9
Machine Learning , Machine Intelligence, Algorithms and Optimizations for Machine Learning Natural Language Processing, Natural Language Processing with Deep Learning Social Network Analytics, Social Computing Network Analysis and Mining , Deep Learning on Graph Algorithms for Intelligent Web and Information Retrieval Data Analytics , Advanced Data Analytics Graph Theory and Applications Software EngineeringMathematics for Machine Learning

Education

6
  • 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, 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

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

3
  • Currently serving as Adjunct Professor (full time) in CSE-AIML Dept.
  • B Tech and M Tech Thesis guide
  • Syllabus update

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