Seyyed Amir Ali Ghafourian Ghahramani 

Assistant Professor

Department of Information Technology and Electrical Engineering

School of Science & Engineering

Sharif University of Technology

 

Email: ghahramani@ce.sharif.edu

Educational Background:

  • • Ph.D. in Information Technology - Computer and Communications Networks, School of Science & Engineering, Sharif University of Technology, Iran, 2017.
  • • M.Sc. in Information Technology - Computer and Communications Networks, School of Science & Engineering, Sharif University of Technology, Iran, 2011.
  • • B.Sc. in Computer Engineering - Software, Sadjad University of Technology, Iran, 2009.

Research Interests:

  • • Modeling and Performance Analysis of Computer Networks and Communications Protocols
  • • Machine Learning
  • • Deep Learning
  • • Complex Networks
  • • Social and Information Networks Analysis

Publications:

Journal Papers:

 

  • 1. S. A. A. G. Ghahramani, A. M. A. Hemmatyar and K. Kavousi, "A Network Model for Vehicular Ad Hoc Networks: An Introduction to Obligatory Attachment Rule," in IEEE Transactions on Network Science and Engineering, vol. 3, no. 2, pp. 82-94, April-June 1 2016. doi: 10.1109/TNSE.2016.2566616
  • 2. S. A. A. G. Ghahramani, A. M. A. Hemmatyar, “A Graph-based Performance Analysis of the 802.11p MAC Protocol for Safety Communications in Highway Vehicular Ad Hoc Networks ”, in  Oxford Computer Journal, vol. 60, no. 2, pp. 185-209, Dec. 2016, doi: 10.1093/comjnl/bxw087
  • 3. S. A. A. G. Ghahramani, A. M. A. Hemmatyar, “A Hybrid Approach to Analyze the Impact of Vehicular Traffic on Performance of 802.11p Protocol for Safety Communications in Vehicular Ad Hoc Networks: A Quantitative Analysis”, Wireless Personal Communications, Springer, Available online since August 3, 2017 at http://link.springer.com/article/10.1007/s11277-017-435-9.

Conference Papers:

 

  • 1. S. A. A. G. Ghahramani and A. M. A. Hemmatyar, "A new hybrid model for performance evaluation of IEEE 802.11p broadcast mode in vehicular ad hoc networks: A numerical analysis," 2013 International Conference on Connected Vehicles and Expo (ICCVE), Las Vegas, NV, 2013, pp. 719-725. doi: 10.1109/ICCVE.2013.6799883

Cources:

Graduate:

        Fall 2020: Advanced Topics in Computer Science (Machine Learning with Graphs)

        Spring 2020: Modeling and Analysis of Computer Networks

               Fall 2019: Complex Dynamic Networks

               Spring 2019: Modeling and Analysis of Computer Networks

        Fall 2017: Modeling and Analysis of Computer Networks, Advanced Topics in Information Technology (Information and Social                                 Networks Analysis)

 

        Spring 2017: Advanced Computer Networks, Advanced Topics in Information Technology (Information and Social Networks                                    Analysis)

Undergraduate:

        Fall 2020: Engineering Probability and Statistics, Artificial Intelligence

        Spring 2020: Numerical Methods, Information Technology Project Management, Logic Design

        Fall 2019: Engineering Probability and Statistics, Numerical Methods, Engineering Statistics

               Spring 2019: Engineering Probability and Statistics, Numerical Methods

        Fall 2018: Engineering Probability and Statistics, Numerical Methods

        Spring 2018: Engineering Probability and Statistics, Numerical Methods

        Spring 2016: Software Engineering

        Fall 2016: Fundamentals of Information Technology Engineering, Fundamentals of Database Design, System Analysis and Design

        Spring 2015: Internet Engineering

        Fall 2014: Software Engineering, Artificial Intelligence