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Sohong Dhar
Sohong Dhar 
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| Born | 25 November 1985, Howrah, West Bengal, India |
| Nationality | Indian |
| Occupation | Data scientist, Computational linguist, Researcher |
| Years active | 2012–present |
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| Title | Information Scientist, Google Brain |
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| Collaborations |
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| Languages Known | Sanskrit, Hindi, English (IELTS 8.0), French (C1) |
| Affiliations | IEEE, Springer, Alliance Française Kolkata |
| Residence | Noida, New Delhi, India |
Sohong Dhar (born 25 November 1985) is an Indian data scientist, computational linguist, inventor, and researcher. He is known for his interdisciplinary contributions to artificial intelligence, cybersecurity, library science, and big data analytics. As of 2025, he serves as an information scientist at Google Brain.
Early Life and Education
Sohong Dhar was born in Howrah, West Bengal, where he studied at Shibpur Dinobandhu Branch. Influenced early by classical Indian logic systems like Nyāya and Vaiśeṣika, he developed an interest in structured reasoning and linguistics.
He earned a Master of Arts in Linguistics from the University of Calcutta, a Master of Library and Information Science from Jadavpur University, and an M.Sc. in Data Science from IIT Madras. He is pursuing doctoral research at the Pratt School of Engineering, Duke University.
In addition to his academic degrees, Dhar holds global certifications including Google Cloud Professional Data Engineer, Microsoft Certified Data Scientist Associate, ASQ Six Sigma Black Belt, CompTIA Security+, and CISSP.
Career
Dhar has worked in various capacities, including business analyst at SAAS Academy, visiting fellow at C-Voter, and currently at Google Brain. His expertise covers sectors such as AI, healthcare, education, publishing, and cybersecurity.
He is also the developer of the "information acclamation framework," inspired by Paul Samuelson’s acceleration-multiplier theory, applied in modeling informational shocks in complex systems.
Major Projects and Achievements
- 2024 – Granted a patent for *Intelligent Swarm Robotics System for Autonomous Inspection of Power Transmission Lines* by the Indian Patent Office.
- 2025 – Co-inventor of the *Cyber Crime Analytical Computer*, registered under Design No. 6426552 by the UK IPO.
- Presented research papers at:
- IEEE PEEIC 2023 – Deep Learning and Real-Time Analytics
- ICANTCI 2024 (Springer) – Machine Learning for Cybersecurity
- GINOTECH 2025 (IEEE) – Hybrid Learning Model for Educational Assessment
Influences
His philosophical and scientific thinking is inspired by:
- Classical thinkers: Shankaracharya, Jayanta Bhatta, Bhartṛhari, Pāṇini
- Computational pioneers: John von Neumann, Alan Turing, Warren McCulloch
- Economic theorists: Milton Friedman, F.A. Hayek, Robert Shiller, Joseph Stiglitz, Daniel Kahneman
Collaborations
He has collaborated with leading scholars, including:
- Deepti P., Sloan Fellow Candidate 2023, MIT Sloan School of Management
- Mounika Nalluri, Murray State University
- Chinna Babu Mupparaju, University of Central Missouri
- Soumen Chakrabarti, IIT Bombay
- Dr. Udyan Bhattachriya, Dean, Faculty of Arts, Jadavpur University
- Dr. S.K. Das, Dept. of Library & Information Science, Jadavpur University
Publications
Dhar’s research appears in journals and conferences published by IEEE, Springer, and others. Notable papers include:
- Machine Learning for Cybersecurity – Springer ICANTCI 2024
- Real-Time Analytics using Deep Learning – IEEE PEEIC 2023
- Grading Automation in Higher Education – IEEE GINOTECH 2025
- Discourse Patterns in Political Speech – European Economic Letters
- Resilience in Image Processing Systems – Power System Technology
- Fighting Misinformation in Social Media – Machine Intelligence Research
Languages
He is fluent in Sanskrit, Hindi, English (IELTS 8.0), and French (C1 level certification from Alliance Française, Kolkata).
External Links
- Sohong Dhar on Facebook Profile