Senior Academician in Computer Science & Engineering with over 17 years of teaching experience and 6+ years of research experience at IIT Kharagpur and IIT Patna. University Medalist at both UG and PG levels and recipient of academic and Best Paper Awards. Published several SCI and Scopus-indexed papers, authored one book, and contributed to edited volumes. Delivered invited talks and coordinated workshops, FDPs, and conferences.
Ph. D. Computer Science and Engineering from IIT Patna
UGC-NET Qualified
M. Tech. Computer Science and Engineering from KIIT Bhubaneswar
M. Sc. Computer Science from the University of North Bengal
B.Sc. (Honours) Computer Science from the University of North Bengal
Experience
Academics: 17 years
Research: 6 years (at IIT Kharagpur and IIT Patna)
Areas of Specialization
Security and Privacy
Cybersecurity and Blockchain Technologies
Applications of AI and ML
Intelligent Transportation System
Natural Language Processing
Subject Taught
Advanced Database
Compiler Design
Cryptography
Machine Learning
Blockchain Technologies
Microprocessor and Digital Logic
Recent Publications
1.TANVIR KAUR, TEJAS UPADHYAY, PARTHA SARATHI CHAKRABORTY, “Ensemble Deep Learning Framework for Mental Health Conditions from Online Posts”, IEEE 5th International Conference on Innovative Practices in Technology and Management (ICIPTM 2026), 19th - 20th February 2026. [H5 29, Scopus]
2.PARTHA SARATHI CHAKRABORTY, SOMANATH TRIPATHY, “Designing security techniques for outsourced data in cloud storage services”, IIT Patna, 2024, Available from Jan 2026, Shodhganga@INFLIBNET. [Available: Online] [PhD. Thesis]
3.PARTHA SARATHI CHAKRABORTY and S. TRIPATHY, “SESIV: Secure and efficient smart contract-based integrity verification of outsourced data,” Journal of Information Security and Applications, ISSN: 2214-2134, Volume 93, 2025, 104121 [Q1, IF 10.9, H5 69, SNIP 1.653, SCIE].
4.PARTHA SARATHI CHAKRABORTY, O. S. GAVHANE, and S. TRIPATHY, “SEVCOD: Secure and efficient verifiable computation on outsourced data,” Cluster Computing: The Journal of Networks, Software Tools and Applications (Springer), vol. 27, pp. 4725– 4739, Dec. 2023, ISSN: 2227–524X. [Online]. [Q1, IF 7.0, H5 80, SNIP 1.035, SCIE].
5.PARTHA SARATHI CHAKRABORTY, S. TRIPATHY, and S. KUMAR NAYAK, “BASPED: Blockchain-assisted secure searchable public key encryption over outsourced data,” International Journal of Information Security (Springer), vol. 23, pp. 487–503, Sep. 2023, ISSN: 1615–5270. [Online]. [Q1, IF 5.7, H5 42, SNIP 1.407, SCIE].
6.PARTHA SARATHI CHAKRABORTY and S. TRIPATHY, “SPVPC: Smart contract-based verifiable polynomial computations,” in 18th International Conference on Network and System Security (NSS 2024), Abu Dhabi, UAE, November 20-22, 2024, Lecture Notes in Computer Science, Springer Conference Proceedings, 2024, pp. 370–386. [Online]. [H5 15, Core B Rank, Scopus].
7.AJAY C. KORLAPATI, S. K. NAYAK, PARTHA SARATHI CHAKRABORTY, and S. TRIPATHY, “SIOCEN: Secure integrity verification of outsourced data in cloud storage using blockchain,” in The 18th International Conference on Information Security Practice and Experience (ISPEC 2023), Copenhagen, Denmark, 2023, Lecture Notes in Computer Science, Springer Conference Proceedings, 2023, pp. 1–19. [Online]. [Q2, H5 10, Core B Rank, Scopus].
8.PARTHA SARATHI CHAKRABORTY, M. S. CHANDRAWANSHI, P. KUMAR, and S. TRIPATHY, “BSMFS: Blockchain-assisted secure multi-keyword fuzzy search over encrypted data,” in 5th IEEE International Conference on Blockchain (IEEE Blockchain 2022), Espoo, Finland, IEEE, 2022, pp. 216–221. [Online]. [H5 30, Scopus].
9.PARTHA SARATHI CHAKRABORTY, P. KUMAR, M. S. CHANDRAWANSHI, and S. TRIPATHY, “BASDB: Blockchain-assisted secure outsourced database search,” in IEEE International Conference on Blockchain and Distributed Systems Security 2022 (IEEE ICBDS), Pune, IEEE, 2022, pp. 1–6. [Online]. [H5 06, Scopus].
10.S. BANERJEE and PARTHA SARATHI CHAKRABORTY, “To detect the distributed denial-of-service attacks in SDN using machine learning algorithms,” in 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), IEEE, 2021, pp. 966–971. [Online]. [H5 22, Scopus].
11.ANANYA PRAKASH, K. AGARWAL, S. SHEKHAR, T. MUTREJA, and PARTHA SARATHI CHAKRABORTY, “An ensemble learning approach for the detection of depression and mental illness over Twitter data,” in 2021 8th International Conference on Computing for Sustainable Global Development (INDIACom), IEEE, 2021, pp. 565–570. [Online]. [H5 22, Scopus].
12.ARSHDEEP K. JAGGI, A. SHARMA, N. SHARMA, R. SINGH, and PARTHA SARATHI CHAKRABORTY, “Diabetes prediction using machine learning,” in Proceedings of International Conference on Machine Learning, Internet of Things and Big Data (ICMIB) 2020, Dhenkanal, Odisha, India: Intelligent Systems Springer Singapore, 2020, pp. 383–392, ISBN: 978-981-33-6081-5. [Online]. [H5 40, Scopus].
Awards and Appreciations
University Gold Medal Awarded for 1st Class 1st Position in B.Sc. (Honours) in Computer Science, 2004 at 37th Convocation of University of North Bengal on 14th Feb 2005 by the Governor of West Bengal (Chancellor) and Lok-Sabha Speaker.
University Gold Medal Awarded for 1st Class 1st Position with Distinction in M.Sc. in Computer Science, 2006 at the 40th Convocation of the University of North Bengal on 11th March 2008 by the Governor of West Bengal (Chancellor).
Best Paper Award in IEEE International Conference on Computational Intelligence & Communication Technology 2015 (CICT’2015), 13 – 14 Feb 2015.
Organising and Publication Chair, International Conference on Recent Trends in Computing 2015.
Coordinator, International Conference on Recent Trends in Computing 2012 and 2013.
Nominated and certified as an Academic Mentor for the Career Mentoring Program (CMP 2025), July to Dec 2025, organised by the IEEE India Council Industry Academia Young Professionals Committee (IAYPC). Shortlisted 173 out of 1327 applications.
