Nader Bagherzadeh
Biography
Nader Bagherzadeh, Ph.D., is a professor in the Department of Electrical Engineering and Computer Science at the University of California, Irvine. He received his Ph.D. in Computer Engineering from The University of Texas at Austin in 1987. Bagherzadeh served as Chair of the ECE/EECS Department from 1998 to 2002 and has been a faculty member at UCI since 1987.
Bagherzadeh's research spans machine learning, quantum computing, distributed and parallel processing, VLSI design, microarchitecture, and low power design. He has supervised over 50 Ph.D. students to completion and more than 40 M.S. students, with research topics ranging from reconfigurable computing and network-on-chip architectures to machine learning accelerators and quantum computing. His work has resulted in over 170 journal publications and more than 190 refereed conference papers. He has secured substantial extramural funding throughout his career, including grants from DARPA, NSF, DTRA, and industry partners totaling millions of dollars for projects on reconfigurable architectures, power management, and radiation characterization of emerging memory technologies.
Bagherzadeh was elected IEEE Fellow in 2014 and received the Khwarizmi International Award in 2014. He has served as Area Editor for IEEE Transactions on Computers and IEEE Transactions on Emerging Topics in Computing, and has held numerous leadership roles in conferences including General Chair for HPCA-9 and PACT '99. He has also contributed extensively to university service, including leading the creation of the first Computer Science and Engineering undergraduate degree at UCI and serving on multiple campus-level committees including the Campus Council on Planning and Budget.
Return to topEducation
- Ph.D. in Computer Engineering, The University of Texas at Austin, 1987
- M.S. in Electrical Engineering, The University of Texas at Austin, 1979
- B.S. in Electrical Engineering, The University of Texas at Austin, 1977
Distinctions
- IEEE Fellow, 2014
- Khwarizmi International Award, 2014
- Best Paper award in the proceedings of IEEE EDGE Computing, 2020
- Best Paper award in IEEE Transactions on VLSI Design, 2002
- Best Student Paper award in the proceedings of ASPDAC'02, 2002
- NASA/ASEE Summer Faculty Fellowship Program (at JPL), 1991
- US ARMY Summer Faculty Fellowship Program, 1990
- Outstanding achievement award, AT&T Bell Labs, 1984
- Professor of the Year, Teaching Award, Engineering Student Council, 2015
Areas of Expertise
- Computer Architecture
- Network-on-Chip Design
- Reconfigurable Computing
- Machine Learning Accelerators
- Quantum Computing
- Three-Dimensional Integrated Circuits
- Spin Transfer Torque Memory
Recent Publications
- A. Sedaghatgoo, A. Hajisadeghi, M. Momtazpour, N. Bagherzadeh, “ARMAN: A Reconfigurable Monolithic 3D Accelerator Architecture for Convolutional Neural Networks” (opens in new tab), 2025.
- S. Sayedsalehi, N. Bagherzadeh, A. Del Barrio, G. Botella, R. Pilipovic, “Developing and Analyzing the Defect-Based Surface Codes Using Optimization Algorithms” (opens in new tab), Quantum Reports, vol. 7, 2025.
- M. Alnemari, N. Bagherzadeh, “Ultimate Compression: Joint Method of Quantization and Tensor Decomposition for Compact Models on the Edge” (opens in new tab), Applied Sciences Switzerland, vol. 14, 2024.
- K. Chen, S. Liu, W. Liu, F. Lombardi, N. Bagherzadeh, “Guest Editorial: Special Section on "Approximate Data Processing: Computing, Storage and Applications"” (opens in new tab), IEEE Transactions on Emerging Topics in Computing, vol. 12, no. 4, pp. 954-955, 2024.
- A. Ding, Y. Qiao, N. Bagherzadeh, “BNN an Ideal Architecture for Acceleration with Resistive in Memory Computation” (opens in new tab), IEEE Transactions on Emerging Topics in Computing, vol. 11, pp. 281-291, 2023.
- M. Moghadam, E. Masoumi, S. Kendale, N. Bagherzadeh, “Predicting hypotensive events in the ICU settings using patient's short-term physiological history and contextual data” (opens in new tab), Computer Methods and Programs in Biomedicine Update, vol. 3, 2023.
- Faghih E., Taheri M., Navi K., Bagherzadeh N., “Efficient realization of quantum balanced ternary reversible multiplier building blocks: A great step towards sustainable computing” (opens in new tab), Sustainable Computing Informatics and Systems, vol. 40, 2023.
- S. Nabiee, M. Harding, J. Hersh, N. Bagherzadeh, “Hybrid U-Net: Semantic Segmentation of High-resolution Satellite Images to Detect War Destruction” (opens in new tab), Machine Learning with Applications, vol. 9, 2022.
- H. Kim, M. Alnemari, N. Bagherzadeh, “A Storage-Efficient Ensemble Classification Using Filter Sharing on Binarized Convolutional Neural Networks” (opens in new tab), PeerJ Computer Science, vol. 8, 2022.
- Y. Qiao, M. Alnemari, N. Bagherzadeh, “A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition” (opens in new tab), Proceedings of the IEEE International Conference on Industrial Technology, vol. 2022-August, 2022. Presented at 23rd IEEE International Conference on Industrial Technology (ICIT 2022), August 2022.
- S. Hosseini, M. Reshadi, N. Bagherzadeh, A. Khademzadeh, “Data Scheduling and Placement in Deep Learning Accelerator” (opens in new tab), Cluster Computing, vol. 24, pp. 3651-3669, 2021.
- M. Taheri, N. Shafiee, F. Sharifi, M. Moaiyeri, K. Navi, N. Bagherzadeh, “Energy Efficient Hybrid Full Adder Design for Digital Signal Processing in Nanoelectronics” (opens in new tab), Analog Integrated Circuits and Signal Processing, vol. 109, pp. 135-151, 2021.
- R. Murillo, A. Del Barrio, G. Botella, M. S. Kim, H. Kim, N. Bagherzadeh, “PLAM: A Posit Logarithm-Approximate Multiplier” (opens in new tab), IEEE Transactions on Emerging Topics in Computing, vol. 10, pp. 2079-2085, 2021.
- M. Hosseini, M. Ebrahimi, P. Yaghini, N. Bagherzadeh, “Near Volatile and Non-Volatile Memory Processing in 3D Systems” (opens in new tab), IEEE Transactions on Emerging Topics in Computing, vol. 10, pp. 1657-1664, 2021.
- Moghadam M.C., Masoumi E., Kendale S., Bagherzadeh N., “Predicting hypotension in the ICU using noninvasive physiological signals” (opens in new tab), Computers in Biology and Medicine, vol. 129, 2021.
Most Cited Publications
- S. Angizi, E. Alkaldy, N. Bagherzadeh, K. Navi, “Novel Robust Single Layer Wire Crossing Approach for Exclusive OR Sum of Products Logic Design with Quantum-Dot Cellular Automata” (opens in new tab), Journal of Low Power Electronics, vol. 10, no. 2, pp. 259-271, 2014.
- M. Kim, A. Del Barrio, L. Tavares Oliveira, R. Hermida, N. Bagherzadeh, “Efficient Mitchell's Approximate Log Multipliers for Convolutional Neural Networks” (opens in new tab), IEEE Transactions on Computers, vol. 68, no. 5, pp. 660-675, 2019.
- S. Angizi, M. Moaiyeri, S. Farrokhi, K. Navi, N. Bagherzadeh, “Designing Quantum-dot Cellular Automata Counters with Energy Consumption Analysis” (opens in new tab), Microprocessors and Microsystems, vol. 39, pp. 512-520, 2015.
- M. Bagherian, M. Moaiyeri, K. Navi, N. Bagherzadeh, “An Energy and Cost-Efficient Majority-based RAM Cell in Quantum-dot Cellular Automata” (opens in new tab), Results in Physics, vol. 7, pp. 3543-3551, 2017.
- M. Kim, A. Del Barrio, H. Kim, N. Bagherzadeh, “The Effects of Approximate Multiplication on Convolutional Neural Networks” (opens in new tab), IEEE Transactions on Emerging Topics in Computing, vol. 10, pp. 904-916, 2021.
- A. Arasteh, M. Moaiyeri, M. Taheri, K. Navi, N. Bagherzadeh, “An Energy and Area Efficient 4:2 Compressor Based on FinFETs” (opens in new tab), Integration the VLSI Journal, vol. 60, pp. 224-231, 2017.
- Z. Ren, A. Alqahtani, N. Bagherzadeh, J. Lee, “Thermal TSV Optimization and Hierarchical Floorplanning for 3D Integrated Circuits” (opens in new tab), IEEE Transactions on Components, Packaging, and Manufacturing Technology, vol. 10, no. 4, pp. 599-610, 2020.
- N. Bagherzadeh, N. Nassif, S. Latifi, “A routing and broadcasting scheme on faulty star graphs” (opens in new tab), IEEE Transactions on Computers, vol. 42, no. 11, pp. 1398-1403, 1993.
- R. Salamat, M. Khayambashi, M. Ebrahimi, N. Bagherzadeh, “A Resilient Routing Algorithm with Formal Reliability Analysis for Partially Connected 3D-NoCs” (opens in new tab), IEEE Transactions on Computers, vol. 65, no. 11, pp. 3265-3279, 2016.
- A. Eghbal, P. Yaghini, N. Bagherzadeh, M. Khayambashi, “Analytical Fault Tolerance Assessment and Metrics for TSV-Based 3D Network-on-Chip” (opens in new tab), IEEE Transactions on Computers, vol. 64, no. 12, pp. 3591-2604, 2015.
Contact Information
Email: nader@uci.edu
Phone: (949) 824-8720
Address: 4209 Engineering Hall
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Last updated on 6/2/2026.