- Bounds on e-Achievability in Binary Sensor Networks Using Large Deviation Theory
- The Collision Channel with Recovery Stephane Tinguely, Mohammad Rezaeian and Alex J. Grant
- Estimation Entropy and its Operational Characteristics in Information Acquisition Systems
- Optimal Adaptive Waveform Selection for Target Tracking
- Constrained Multi-object Markov Decision Scheduling with Application to Radar Resource Management
- Symmetric Characterization of Finite State Markov Mohammad Rezaeian
- The Entropy Rate of the Hidden Markov Mohammad Rezaeian (speaker)
- A Generalization of Arimoto-Blahut Algorithm Mohammad Rezaeian1
- Estimation Entropy and Optimal Observability Mohammad Rezaeian
- The On-Off Fading Channel Etienne Perron, Mohammad Rezaeian and Alex Grant
- A Generalization of Cramer-Rao Error Bound for Joint Detection and Mohammad Rezaeian and Ba-Ngu Vo
- The Entropy of Random Finite Sets Mohammad Rezaeian and Ba-Ngu Vo
- Error Bounds for Joint Detection and Estimation of a Single Object with Random Finite Set Observation
- ISIT 2003, Yokohama, Japan, June 29 July 4, 2003 The On-Off Fading Channel
- The Entropy Rate of the Hidden Markov Process Mohammad Rezaeian, Member,IEEE,
- Sensor Scheduling for Optimal Observability Using Estimation Entropy Mohammad Rezaeian
- Computation of Capacity for Gilbert-Elliott Channels, Using a Statistical Method
- 3rd AusCTW, Canberra, Australia, Feb. 45, 2002 A Limiting Formula for the Interference Channel Capacity Region
- Australian Communication Theory Workshop Proceedings 2003 1 Symmetric Characterizations of Communication
- Tracking Markov Targets in Binary Sensor Networks: Source Coding and Large Deviation
