Naeimeh Omidvar

[email protected]

Assistant Professor

Bio

Naeimeh Omidvar is currently an Assistant Professor at the Tehran Institute for Advanced Studies (TEIAS), Khatam University, Tehran, Iran. Before joining TEIAS, she was with the School of Computer Science, Institute for Research in Fundamental Sciences (IPM) and Sharif University of Technology, both as a Post-Doctoral Research Fellow.

She received her Ph.D. degree in Electronic and Computer Engineering from The Hong Kong University of Science and Technology (HKUST), Hong Kong. She also holds B.Sc., M.Sc., and PhD degrees in Electrical Engineering from Sharif University of Technology, Tehran, Iran. During her academic journey, she contributed to various industrial projects with the Huawei-HKUST Joint Innovation Laboratory, Hong Kong. Her research interests include optimization for machine learning, distributed learning, stochastic optimization, and data networks.

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Research Interests

  • Distributed Learning and Optimization
  • Optimization for Learning
  • Federated Learning
  • Stochastic Optimization
  • Optimization Theory
  • Data Networks
  • Wireless Communications

  • Postdoc, School of Computer Science, Institute for Research in Fundamental Sciences (IPM), Iran.

  • Postdoc, Department of Electrical Engineering, Sharif University of Technology, Iran.

  • Ph.D. in Electronic and Computer Engineering, The Hong Kong University of Science and Technology (HKUST), Hong Kong.

  • Ph.D. in Electrical Engineering, Sharif University of Technology, Iran.

  • M.Sc. in Electrical Engineering, Sharif University of Technology, Iran.

  • B.Sc. in Electrical Engineering, Sharif University of Technology, Iran.

Journal Papers:

  • S. M. Hosseini, A. Jamshidi, S. M. Noormousavi, M. Siavoshani, N. Omidvar, “Extended Deep Submodular Functions,” Transactions on Machine Learning Research (TMLR) (2024).

  • N. Omidvar, M. Hosseini, M. Maddah-Ali, “Hybrid-Order Distributed SGD: Balancing Communication Overhead, Computational Complexity, and Convergence Rate for Distributed Learning,” Elsevier Journal of Neurocomputing, 2024.

  • R. Rezaei, N. Omidvar, M. Movahednasab, M. Pakravan, S. Sun, Y. Guan, “Efficient, Fair and QoS-Aware Policies for Wirelessly Powered Communication Networks,” IEEE Transactions on Communications 68, no. 9 (2020): 5892-5907.

  • M. Movahednasab, B. Makki, N. Omidvar, M. Pakravan, T. Svensson, M. Zorzi, “Energy-Efficient Online Control Policy for Wirelessly-Powered Communication Networks,” IEEE Transactions on Communications 68, no. 8 (2020): 4986-5002.

  • N. Omidvar, A. Liu, V. Lau, F. Zhang, D. Tsang, M. Pakravan, “Optimal Hierarchical Radio Resource Management for HetNets with Flexible Backhaul,” IEEE Transactions on Wireless Communications 17, no. 7 (2018): 4239-4255.

  • N. Omidvar, D. Tsang, M. Pakravan, V. Lau, “Optimal Energy-Aware Routing with Redundancy Elimination.” IEEE Journal on Selected Areas in Communications (IEEE JSAC) 33, no. 12 (2015): 2815-2825.

Conference Papers:

  • F. Karami, N. Omidvar, M. Babazadeh, B. H. Khalaj, “Joint Optimization of Perception Offloading and Planning Performance of Autonomous Systems Over Wireless Networks,” In Proceedings of IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Barcelona, Spain, 2025.

  • A. Khajehpour, F. Zandi, N. Malekghaini, M. Hemmatyar, N. Omidvar, M. Jafari, “Deep Inside Tor: Exploring Website Fingerprinting Attacks on Tor Traffic in Realistic Settings,” In Proceedings of International Conference on Computer and Knowledge Engineering (ICCKE), Iran, 2022.

  • M. Jafari, S. P. Shariatpanahi, N. Omidvar, “Intelligent Reflecting Surfaces for Compute-and-Forward,” In Proceedings of Iran Workshop on Communication and Information Theory (IWCIT), Iran, 2021.

  • M. Movahednasab, N. Omidvar, M. Pakravan, T. Svensson, “Joint Data Routing and Power Scheduling for Wireless Powered Communication Networks,” In Proceedings of IEEE International Conference on Communications (IEEE ICC), China, 2019.

  • R. Rezaei, M. Movahednasab, N. Omidvar, M. Pakravan, “Optimal and Near-Optimal Policies for Wireless Power Transfer Considering Fairness,” In Proceedings of IEEE Global Communication Conference (IEEE GLOBECOM), UAE, 2018.

  • R. Rezaei, M. Movahednasab, N. Omidvar, M. Pakravan, “Stochastic Power Control Policies for Battery-Operated Wireless Power Transfer,” In Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), Italy, 2018.

  • N. Omidvar, F. Zhang, A. Liu, V. Lau, D. Tsang, M. Pakravan, “Cross-Layer QSI-Aware Radio Resource Management for HetNets with Flexible Backhaul ,” In Proceedings of IEEE Wireless Communications and Networking Conference (IEEE WCNC), Doha, Qatar, Apr. 3-6, 2016.

  • N. Omidvar, A. Liu, V. Lau, F. Zhang, D. Tsang, M. Pakravan, “Two-timescale radio resource management for HetNets with flexible backhaul,” In Proceedings of IEEE Global Communication Conference (IEEE GLOBECOM), San Diego, USA, Dec. 6-10, 2015.

  • N. Omidvar, A. Liu, V. Lau, F. Zhang, D. Tsang, M. Pakravan, “Two-timescale QoS-aware cross-layer optimisation for HetNets with flexible backhaul,” in Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), pp. 1072-1076, Hong Kong, Aug. 30-Sep. 2., 2015.

  • R. Mohammadian, A. Amini, B. Khalaj, N. Omidvar, “MIMO-OFDM pilot symbol design for sparse channel estimation,” In Proceedings of Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Hong Kong, Dec. 16-19, 2015.

  • N. Omidvar, B. Khalaj, “A Game-Theoretic Approach for Joint Channel and Power Allocation in Downlink of Cellular Cognitive Radio Networks,” in Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), Sydny, Australia, Sep. 9-12, 2012.

  • N. Omidvar, B. Khalaj, “A Game Theoretic Approach for Power Allocation in the Downlink of Cognitive Radio Networks,” in Proceedings of IEEE International Workshop on Computer-Aided Modelling, Analysis and Design of Communication Links and Networks (IEEE CAMAD), Kyoto, Japan, June 10-11, 2011.

  • N. Omidvar, B. Khalaj, “Distributed Joint Resource Allocation in Cognitive Radio Networks using Game Theory,” 2nd Conference on Emerging Wireless and Mobile Communication Networks (WMCNC), Tehran, Iran, Oct. 18-20, 2011.

Graduate Courses:

  • Advanced Topics in Optimization for Machine Learning and Beyond: Short Course, Winter 2025, TEIAS.

  • Mathematics for Artificial Intelligence and Data Science: Summer 2023, Department of Computer Engineering, Sharif University of Technology.

  • Convex Optimization: Spring 2019, Department of Computer Engineering, Sharif University of Technology.

Undergraduate Courses:

  • Probabilities and Statistics: Spring 2024, Fall 2023, Spring 2023, Fall 2022, Department of Electrical Engineering, Amirkabir University of Technology.

  • Engineering Probability and Statistics: Spring 2021, Spring 2020, Department of Computer Engineering, Sharif University of Technology.