Sakshyam Panda

Dr Sakshyam Panda Btech, MSc, PhD

Lecturer in Cybersecurity (Security and Privacy for AI)

Sakshyam Panda is a Lecturer in Cyber Security and a member of the Centre for Sustainable Cyber Security (CS2) at the School of Computing and Mathematical Sciences, Faculty of Engineering and Science, University of Greenwich. His core expertise is in cyber threat modelling and developing robust strategies against strategic adversaries with a special interest towards security and privacy for AI.

His research is published in top-tier journals including COSE, JMIR, IJIS, IEEE Access and at esteemed international conferences such as AAAI, IEEE DSC and GameSec.

Before his lectureship appointment, he was the lead researcher for the Horizon TANGO project at the University of Greenwich (2022-2023). He has also worked as a research associate for H2020 SPEAR, H2020 CUREX, H2020 SECONDO and NCSC/EPSRC MERIT project during his PhD (Optimal Strategies for Cyber Security Decision-Making) at University of Surrey, UK (2018-2022).

Responsibilities within the university

  • R&D lead for Horizon Europe TANGO project
  • Research on cybersecurity and privacy for AI
  • Teaching Information Security (COMP1806) and Computer and Communication Systems (COMP1765)
  • Final year and MSc project Supervision
  • Personal tutoring


Advisory Groups & Memberships

Technical Committee Member, Conference on Decision and Game Theory for Security (GameSec); Programme Committee Member International Workshop on Advances on Privacy Enhancing Technologies and Solutions (IWAPS - ARES); IEEE member; Member of the EPSRC NetworkPlus for Security, Privacy, Identity, Trust in the Digital Economy (SPRITE+).

Invited talks

University of Piraeus “Cyber Risk Management with Cyber Insurance” (2020).

Research / Scholarly interests

Research and scholarly interests

  • Cyber Security and Privacy Risk Management
  • Cyber Security Threat Modelling, Optimisation and Decision Support
  • Security and Privacy of AI

Research supervision

Research Interns
  • Aksshar Ramesh (University of Greenwich, 2023 - present). Works on Adversarial Machine Learning.

Recent publications


Farao, Aristeidis , Paparis, Georgios, Panda, Sakshyam, Panaousis, Emmanouil , Zarras, Apostolis , Xenakis, Christos (2023), INCHAIN: a cyber insurance architecture with smart contracts and self-sovereign identity on top of blockchain. Springer. In: , , , . Springer, International Journal of Information Security ISSN: 1615-5262 (Print), 1615-5270 (Online) (doi:

Tsiodra, Maria , Panda, Sakshyam, Chronopoulos, Michail, Panaousis, Emmanouil (2023), Cyber risk assessment and optimization: a small business case study. Institute of Electrical and Electronics Engineers (IEEE). In: , , , . Institute of Electrical and Electronics Engineers (IEEE), IEEE Access, 11 . pp. 44467-44481 2169-3536 (Online) (doi:

Argyridou, Elina , Nifakos, Sokratis, Laoudias, Christos, Panda, Sakshyam , Panaousis, Emmanouil , Chandramouli, Krishna , Navarro-Llobet, Diana , Zamorano, Juan Mora , Papachristou, Panagiotis , Bonacina, Stefano (2022), Cyber hygiene methodology for raising cybersecurity and data privacy awareness in healthcare organisations. JMIR Publications. In: , , , . JMIR Publications, Journal of Medical Internet Research, 25: e41294 1438-8871 (Online) (doi:

Conference proceedings

Panda, Sakshyam , Panaousis, Manos, Loukas, George, Kentrotis, Konstantinos (2023), Privacy impact assessment of cyber attacks on connected and autonomous vehicles. Association for Computing Machinery (ACM). In: , , In: ARES 23 Conference Committee (ed.), ARES 2023, the 18th International Conference on Availability, Reliability and Security. Proceedings. 29th August 2023 - 1st September 2023. Benevento, Italy. Association for Computing Machinery (ACM), New York (93) (1st) . pp. 93:1-93:9 . ISBN: 9798400707728 (doi: NB Item availability restricted.