Sibin Mohan
Associate Professor
Computer Science

3049 Kelley Engineering Center
Corvallis, OR 97331-5501
(541) 737-3617
(541) 737-1300


  • PhD, Computer Science, North Carolina State University, 2008
  • MS, Computer Science, North Carolina State University, 2004
  • BE, Computer Science and Engineering, Bangalore University, India 2001


Sibin Mohan is an Associate Professor in the School of Electrical Engineering and Computer Science at Oregon State University. He also holds an adjunct faculty appointment in the Dept. of Computer Science at the University of Illinois at Urbana-Champaign [UIUC].

Sibin completed his Ph.D. and M.S. in Computer Science from North Carolina State University. His undergraduate degree was in Computer Science and Engineering from Bangalore University, India. He was previously a postdoctoral scholar in the Computer Science department at UIUC. In the past, he worked in Hewlett Packard’s India Software Operations.

Sibin’s research interests are in the area of systems, security, networking and autonomous systems. Current research efforts include resiliency and security for CPS, autonomous and IoT-style systems, secure cloud computing, resilient safety-critical systems using software defined networking (SDN), security for V2X systems and understanding the behavior of UAV swarms.

Sibin has pioneered research to improve the resiliency and security of real-time, cyber-physical and autonomous systems:

  • discovered a novel side-channel in schedulers for real-time systems: ScheduLeak [1]
  • developed the notion of schedule indistinguishability by adopting differential privacy for system behaviors to prevent information leakage in real-time cyber-physical systems [2]
  • preventing side-channel attacks in real-time embedded systems: preventing information leakage [3], [4], [5], schedule randomization [6]
  • intrusion and anomaly detection systems: SecureCore [7], [8], [9], S3A [10], DragonBeam [11], time-based IDS [12], [13], on-chip control flow integrity [14]
  • security as a first-class principle for real-time schedulers: security integration for legacy real-time systems [15], Contego [16], Hydra [17] [18]
  • restart-based platform that is resilient to attacks: ReSecure [19], [20]
  • misc: smart manufacturing systems (VetPLC) [21] and fault detection in PIR Sensors in building automation systems (PIRMedic) [22]