Faculty
Omid Akbari
Ph.D, Associate Professor
Director of laboratory
Professional Services
Member: Technical Committee, CSICC – 2022, CSICC – 2023
Member: IEEE Standards Development Committee, Iran Section
Reviewer: IEEE TCAS-I, IEEE TCAS-II, IEEE TC, IEEE TSUSC, IEEE TVLSI, IEEE TCAD, IEEE JETCAS, IEEE ESL, IEEE Access, ACM TECS, ACM TOPC, IET Circuits Devices and Systems, Electronics Letters, AEUE – International Journal of Electronics and Communications, Microelectronics Journal, Integration the VLSI Journal, World Scientific Journal of Circuits Systems and Computers (JCSC), Iranian Journal of Science and Technology – Transactions of Electrical Engineering, Tabriz Journal of Electrical Engineering (TJEE)
Ph.D. Students
Mohammad Amin Rayej
An efficient distributed learning framework for resource-constrained devices
Sam Mirkazemi
Distributed Learning
M.Sc. Students
Reza Ghorbansiahi
A resource-aware framework for efficient implementation of Deep Neural Networks on FPGA
Ali Mirhosseini
Implementation of fault-tolerant deep neural networks on FPGA based on novel number representation systems
Siavash Zareie
Intrusion detection in IoT systems using power consumption analysis and machine learning algorithms
Mahdi Esmaeili
Improving the accuracy of industrial welding defect detection through image processing and deep learning
Amirhossein Masoumi
LLM-Based Digital System Design
Fatemehzahra Shamsi
UWB-based Real-Time Locating Systems using Machine Learning
Amirhossein Dastani
Hyperdimensional Computing on RISC-V.
Zahra Rastegar Lari
LLM-Driven Robust DNN Design
Research Assistants
Jafar Vafaei
Working on Reliability
M.Sc. Graduates
Alireza Fouladlou
A lightweight method for data obfuscation in the Internet of Things with resource sharing-approach
Farzaneh Abouali
Information obfuscation in the Internet of Medical Things (IoMT) using Physical Unclonable Functions (PUFs)
Fariba Jorghanian
Smart of Management Energy Network Neural Graph Using Buildings
Amirhossein Azimi
Energy Management in Smart Buildings via Artificial Intelligenc
Bahareh Vakili
Approximate Multipliers (Islamic Azad University Science and Research Branch)
Morteza Yousefloo
A Fault-Tolerant Accelerator for Deep Neural Networks
Ali Akbar Bahoo
Improving the Efficiency and Reliability of Multipliers using Approximate Computing
Alireza Senobari
Improving the Efficiency of Computational Array-Based Accelerators Using Approximate Computing
Mojtaba Afshari
Energy-Efficient Deep Neural Networks
Fatemeh Hosseinkhani
Power and Temperature-aware Reliability Management in Manycore Systems
On-Going MS Seminars
- Hosna Mohammadi, “Machine learning methods for error tolerance in image processing applications”.
Adviser of M.Sc. Theses
On-Going
- Forough Yaftan, on Low Power Adders, Islamic Azad University Science and Research Branch.
Completed
- Ahmad Tavakoli, Resource Allocation in Edge Computing Using Machine Learning Based Traffic Prediction, Tarbiat Modares University, Feb. 2023.
- Ali Hussain Abd Alhassan, Calculating the degree of Resilience in power grids using complex networks and machine learning methods, Tarbiat Modares University, Sep. 2022.
- Mohammadreza Teymuri, on Internet of Things (IoT), Tarbiat Modares University, Aug. 2022.
- Mehran Rezaie, Fault Tolerant Resource Allocation in Network Function Virtualization, Tarbiat Modares University, July 2022.
- Khadijeh Samiepoor, Identification of power smart grids vulnerabilities based on combining complex network and nodes features, Tarbiat Modares University, Feb.2022.
- Maryam Rahmani, A reliable traffic routing in network function virtualization, Tarbiat Modares University, Feb.2022.
- Amir Rasti, Traffic engineering in SDN-based networks using traffic matrix estimation, Tarbiat Modares University, Feb.2022.
- Reza Behzadi, Static hardware trojan detection at RTL level using controllability and observability, Tarbiat Modares University, Jan.2022.
- Mohammad Ghanatabadi, Design and simulation of Low-Power, compact and high-speed approximate arithmetic circuits, Islamic Azad University Science and Research Branch, Sep.2021.
- Afshin Khaksari, Design and simulation of adaptive accuracy reconfigurable approximate adder in sub-65nm Technology, Islamic Azad University Science and Research Branch, Dec.2020.