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- 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.
- 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- ORCID : https://orcid.org/0000-0003-1225-9354
- Google Scholar : https://scholar.google.com/citations?hl=en&user=d6gtOwwAAAAJ&view_op=list_works
Teaching
9Education
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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, 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
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
3- Currently serving as Adjunct Professor (full time) in CSE-AIML Dept.
- B Tech and M Tech Thesis guide
- Syllabus update