Mehran Sadeghi Lahijani
I am currently a Ph.D student in the Department of Computer Science at Florida State University. I joined Prof. Xin Yuan's group in August 2019. Before that, I was working in Prof. Ashok Srinivasan's research group from September 2016. You can find my CV here.
Research
In August 2019, I had the privilege to join Prof. Xin Yuan's research group (EXPLORER Lab). My new research is about developing secure mechanisms for Datacenters and HPC systems. Currently, our focus is on secure communication in these environments, and my tasks include:- Designing a model for predicting the performance of encrypted MPI point-to-point communication on different networks and with various cryptographic libraries.
- Designing and developing efficient encrypted MPI collective operations.
- Developing models for simulation of aircraft passengers' movement using social force models and crowd simulation techniques.
- Developing architecture-aware models for optimizing the performance of parameter sweeps using CPU and GPU accelerators on supercomputers.
- Developing fast algorithms for analyzing parameter sweep outputs.
Publications
Performance Evaluation and Modeling of Cryptographic Libraries for MPI CommunicationsA Naser, M Sadeghi Lahijani, C Wu, M Gavahi, V T Hoang, Z Wang, X Yuan (Submitted to the IEEE Transactions on Secure and Dependable Computing)
From Bad to Worse: Airline Boarding Changes in Response to COVID-19Islam, T., Lahijani, M.S., Srinivasan, A., Namilae, S., Mubayi, A. and Scotch, M., Submitted to the journal of Royal Society
GPU-Aware Pedestrian Dynamics Modeling with Application to Crowd Movement in Narrow PathwaysMS Lahijani, R Gayatri, T Islam, A Srinivasan, S Namilae (Submitted to the Scientific Reports of Nature)
Constrained Linear Movement Model (CALM): Simulation of passenger movement in airplanesMS Lahijani, T Islam, A Srinivasan, S Namilae - PLOS One, 2020
Parallel Low Discrepancy Parameter Sweep for Public Health Policy.IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid), (2018). 10 pages. (Acceptance rate: 21%) - S. Chunduri , M. Ghaffari, MS Lahijani, A. Srinivasan, and S. Namilae.
P^4QS: A Peer to Peer Privacy Preserving Query Service for Location-Based Mobile ApplicationsM Ghaffari, N Ghadiri, MH Manshaei, MS Lahijani - IEEE Transactions on Vehicular Technology, 2017