Sakshyam Panda

Sakshyam Panda is a Lecturer in Cybersecurity at the University of Greenwich, affiliated with the Centre for Sustainable Cyber Security (CS2) and the School of Computing and Mathematical Sciences under the Faculty of Engineering and Science. His work focuses on security and privacy for AI, cyber threat modeling, and strategic cybersecurity investments.

• Education: PhD in Cybersecurity (University of Surrey, 2022), MSc in Human Computer Interaction and Design (Aalto University/KTH Royal Institute of Technology, 2018), BTech in Computer Science and Engineering (Institute of Technical Education and Research, 2013)

Research interests include:

• Security economics and game theory for cybersecurity
• Privacy-preserving AI systems
• Optimization of cyber controls
• Smart grid security and honeypot strategies
• Health data exchange protection
• Budget-constrained cybersecurity frameworks

Recent publications reveal a focus on cyber insurance decision platforms, threat modeling for smart grids, and economic-driven security strategies. His work integrates mathematical optimization with sociotechnical cybersecurity challenges, particularly in healthcare and critical infrastructure domains.

He has contributed to major projects including Horizon TANGO (2022-2023), H2020 SPEAR, H2020 CUREX, H2020 SECONDO, and NCSC/EPSRC MERIT. His research spans both theoretical frameworks and practical implementations through industry partnerships.