TIME TABLE SUMMER SCHOOL 2026
Designation: Assistant Professor , Computer Science & Engineering School Of Engineering & Technology, Adamas University.
Email ID: sandip.dutta2@adamasuniversity.ac.in
Qualifications:
Doctor of Philosophy (Ph.D.) in Computer Science
Department of Computer & System Sciences, Siksha Bhavana, Visva-Bharati, Santiniketan, India.
December 2021 – Present
Status: Pre-PhD Seminar Completed; Thesis Submission in Progress
Thesis Title: Usability of Smartphone Sensors in Keystroke Dynamics and Human Gait Analysis for Safeguarding Passwords and Enabling Active User Authentication.
·Master of Science (M.Sc.) in Computer Science
Department of Computer & System Sciences, Siksha Bhavana, Visva-Bharati, Santiniketan, India.
2017 – 2019
Result: First Class First (University Rank Holder)
CGPA: 8.61 (Grade A++)
Dissertation Title: Human Gait Based User Authentication through Smartphone Sensor Data.
Bachelor of Science (B.Sc.) in Computer Science
Bankura Sammilani College, The University of Burdwan
2014 – 2017
Result: First Class (69.75%)
Work Experience:
Publications:
S. Dutta, B. Basu, S. Roy, and U. Roy, “Quantum-Classical Adaptive Autoencoding of Time-Series Signals for Secure Biometric Authentication,” Quantum Machine Intelligence, vol. 8, p. 74, 2026. DOI: 10.1007/s42484-026-00417-1. (ESCI, Scopus, Q1 Journal, IF: 4.6).
S. Dutta, S. Roy, and U. Roy, “Quantum Kernel Anomaly Detection: A Fidelity-Based Framework for Robust Behavioral Biometric Authentication,” Journal of Supercomputing, vol. 18, Article No. 169. DOI: 10.1007/s11227-026-08300-3. (SCIE, Scopus, Q2 Journal, IF: 3.5).
S. Dutta, S. Roy, and U. Roy, “Misuse mitigation: Smartphone data while walking and anomaly detection in health insurance campaigns,” International Journal of Biometrics, 2025. DOI: 10.1504/IJBM.2027.10077830. (ESCI, Scopus, IF: 1).
S. Dutta, U. Roy, and S. Roy, “Efficacy of keystroke dynamics-based user authentication in the face of language complexity,” Recent Advances in Computer Science and Communications, vol. 17, Jul. 2024. DOI: 10.2174/0126662558309578240705101526. (Scopus Indexed).
S. Dutta, S. Roy, P. Banerjee, and U. Roy, “Smartphone-based gait authentication for health insurance incentives: A data-driven approach to verify walking compliance,” International Journal of Computer Applications, vol. 186, no. 46, pp. 1–13, Nov. 2024. DOI: 10.5120/ijca2024924109. (Web of Science).
S. Dutta, S. Roy, and U. Roy, “A comprehensive review of keystroke dynamics and human gait analysis in biometric authentication,” International Journal of Computer Applications, vol. 186, pp. 1–6, Jan. 2025. DOI: 10.5120/ijca2025924454. (Web of Science).
S. Dutta, S. Roy, and U. Roy, “Quantum–Spectral Anomaly Detection for Noise-Aware Behavioral Biometrics,” Innovations in Systems and Software Engineering. (Scopus Indexed, Accepted).
S. Dutta, B.Basu, S. Roy, and U. Roy, “QUASAR-TS: Quantum Spectral Adaptive Reservoir for Time-Series: A Hybrid Quantum–Classical Framework for Behavioral Biometric Authentication,” Quantum Information Processing. (ESCI Indexed, Submitted).
Conference Publication(s)
S. Dutta, S. Roy, and U. Roy, “Authenticating smartphone users continuously even if the smartphone is in the user’s pocket,” Springer Book, pp. 139–146, 2024. ISBN: 978-3-031-47220-6. DOI: 10.1007/978-3-031-47221-3_13. (Scopus Indexed).
S. Dutta, U. Roy, and S. Roy, “Multi-modal biometric authentication: Harnessing human gait and keystroke dynamics for enhanced security,” Springer Book, pp. 311–322, 2025. ISBN: 978-3-031-81934-6. DOI: 10.1007/978-3-031-81935-3_27. (Scopus Indexed).
S. Dutta, S. Roy, R. Mondal, T. Ghosh, and U. Roy, “Entry-point adaptive keystroke dynamics-based user authentication for evolving passwords,” Springer Book, pp. 246–257, 2025. DOI: 10.1007/978-3-031-81336-8_19. (Scopus Indexed).
S. Dutta, S. Roy, and U. Roy, “Advanced keystroke dynamics for secure smartphone authentication,” Springer Nature, 2025. DOI: 10.1007/978-3-031-82706-8_15. (Scopus Indexed).
S. Dutta, S. Roy, and U. Roy, “Advancing cybersecurity: Continuous keystroke authentication for safe and secure digital communication,” CJMC International Conference, Visva-Bharati, 2025. (Scopus Indexed).
S. Dutta, S. Roy, and U. Roy, “Quantum Kernel Anomaly Detection for Robust and Secure Behavioral Biometric Authentication,” QUANTUMKOL-2025, JIS University, 2025. (Scopus Indexed).
Conference Paper(s) Presented:
“Keystroke dynamics-based smartphone security: A Robust Authentication through Comprehensive Analysis,” National Conference on Advances in AI Systems, 2024.
“Utility of Smartphone Sensors for Authentication and Identification through Human Gait Analysis,” National Conference on Advances in AI Systems, 2024.
“Integrating Gait and Keystroke Dynamics for Non-Invasive Parkinson’s Disease Detection,” International Conference on Innovations in Computer Science.
Book Chapter:
S. Dutta, S. Roy, and U. Roy, “Temporal Evolution of Keystroke Dynamics in Adaptive Authentication,” Elsevier Science & Technology Book Chapter, Mar. 2024. (Scopus Indexed).
Invited Talk:
Invited Resource Person, “Awareness Programme on Quantum Computing and Cryptography,” Department of Computer Application, Maharaja Sriram Chandra Bhanja Deo University, Baripada, Odisha, India, Apr. 28–30, 2026. (PM-USHA Sponsored).
Specializations:
Information Security
Watermarking
Steganography
Cryptography
1. Best Paper Award, at International Conference: ICCTE-2023, University of North Bengal, West Bengal, India, for the paper “Multi-modal Biometric Authentication: Harnessing Human Gait and Keystroke Dynamics for Enhanced Security.
2. Best Paper Award at International Conference: AIoT4S-2024, NIST Institute of Science and Technology, Berhampur, Odisha, India, for the paper “Efficacy of Keystroke Dynamics-Based User Authentication in the Face of Language Complexity.”
3. Outstanding Presentation Award, 32nd West Bengal State Science and Technology Congress (WBSSTC-2025), Region 7, under the Focal Theme: “Applications of Emerging Technologies including AI/ML in Sustainable Development.”