Distributed Mobile Sensing: The project aims at field driven sensing using distributed mobile services. Mobile sensors may be part of ordinary cellphones or may be implemented in vehicular network. Based on the underlying physics of the field (e.g. traffics, air pollution, temperature and etc.) needed to be sensed, an appropriate model is designed. On one hand, gathering all the sensed data and doing all the compression and learning at the server end is undesirable. On the other hand, we also don't want to create overheads by forcing nodes to communicate with each other. Some coding and learning models are being developed based on these requirements. The developed model chooses a strategy somewhere in the middle of the spectrum that spans from selective sensing to compressed sensing.
Influence Maximization in Intermittently Connected Mobile Networks: A connected dynamic network which is not always connected (Such as: Vehicular and social networks) can be modelled with a graph of certain types. Knowing that we can encourage node entities to catalyze spread of certain adds, information or data. We proved that the best choose of these helpers is an NPC problem and the best yet achievable polynomial time helper selection algorithm is devised during the course of the project.
Urban Traffic Modeling: Modeling the road network with a graph, the goal is to find the best fitted model learning from the sensed data that could help us with traffic planning, prediction of critical events, OD estimation and etc.
Data Dissemination Control in Dynamic Networks: In a network with moving nodes and intermittent connections, we focus on how to allocate helpers to steer propagation direction and target specific areas in presence of competing parties. A game formulation of the problem is developed alongside with a discrete Markov decision process representation.
Helper Node Allocation Strategies for Content Dissemination in Intermittently Connected Mobile Networks, Maheswaran Sathiamoorthy, Keyvan Rezaei Moghadam, Bhaskar Krishnamachari and Fan Bai IEEE International Conference on Sensing, Communication, and Networking (SECON), Singapore, July 2014
Short Paper: Dynamic Online Storage Allocation for Multi-Content Dissemination in Two-Tier Hybrid Mobile Vehicular Networks, Keyvan R. Moghadam , Maheswaran Sathiamoorthy , Bhaskar Krishnamachari and Fan Bai Vehicular Network Conference, Boston, December 2013
Double-layer dynamics of cognitive radio networks, Peyman Setoodeh , Simon Haykin and Keyvan R. Moghadam WoWMoM, San Francisco, June 2012
Dynamic spectrum supply chain model for cognitive radio networks, Peyman Setoodeh , Simon Haykin and Keyvan R. Moghadam WoWMoM, San Francisco, June 2012
Opportunistic vehicular ferrying for energy efficient wireless mesh networks, Keyvan Rezaei Moghadam, Ghada Badawy , Terry Todd, Dongmei Zhao WCNC, Cancun, March 2011
An Introduction to Virtual ICA Algorithm, Amirhossein M. Araiei , Keyvan R. Moghadam and M.H. Kahaei IJSIP, 2010
Bearing Fault Detection using Virtual ICA Algorithm, Keyvan R. Moghadam, Amirhossein M. Ariaei, M.H. Kahaei and J. Poshtan Fluctuation and Noise Letter, Volume 08, Issue 03n04, December 2008
Teaching assistant for:
Introduction to Computer Networks at USC (EE450), Autumn 2013, Spring 2014
Computer Communication Networks at McMaster (4DK4), Winter 2010, Spring 2011
Digital Signal Processing at IUST, Winter 2008
Board Member and Treasurer, Iranian Children's Right Society (ICRS), Jan. 2014 - Present
Board Member and Treasurer, Persian Academic and Cultural Student Association (PACSA), Sept. 2013 - Present