Welcome to CADS-LAB


Dear Visitor:

Welcome to Computer Architecture and Dependable Systems (CADS) laboratory website. Our researches focus on embedded machine learning, brain-inspired computing, reliability, and the internet of things (IoT). All related things to CADS-Lab, including news, publications, open-source tools, etc. are updated on this website, regularly.

CADS-Lab is located in the Department of Electrical and Computer Engineering, Tarbiat Modares University.

We are looking forward to hearing from you!

Important Notice (06/2022): We have one Ph.D. position in computer engineering for the students introduced by the Sanjesh entrance exam in 1401. Feel free to contact me for more info (o.akbari@modares.ac.ir).

  1. 2022/10: Congratulations to Alireza Senobari for successfully defending his M.Sc. thesis.
  2. 2022/09: Congratulations to Fatemeh Hossein Khani for successfully defending her M.Sc. thesis.

  1. A. A. Bahoo, O. Akbari, M. Shafique, “An Energy-Efficient Generic Accuracy Configurable Multiplier Based on Block-Level Voltage Overscaling,” accepted in IEEE Transactions on Emerging Topics in Computing (Q1, IF=6.595) , May. 2023.
  2. J. Vafaei, O. Akbari, M. Shafique, Ch. Hochberger, “X-Rel: Energy-Efficient and Low-Overhead Approximate Reliability Framework for Error-Tolerant Applications Deployed in Critical Systems,” accepted in IEEE Transactions on Very Large Scale Integration Systems , Apr. 2023. DOI: 10.1109/TVLSI.2023.3272226
  3. M. Ghanatabadi, B. Ebrahimi and O. Akbari, “Accurate and Compact Approximate 4:2 Compressors with GDI Structure,” accepted in Circuits, Systems, and Signal Processing (CSSP) , Jan. 2023.
  4. A. Khaksari, O. Akbari and B. Ebrahimi, “BEAD: Bounded Error Approximate Adder with Carry and Sum Speculations,” accepted in Integration, the VLSI journal , Oct. 2022. https://doi.org/10.1016/j.vlsi.2022.10.015
  5. F. Ebrahimi-Azandaryani, O. Akbari, M. Kamal, A. Afzali-Kusha and M. Pedram, “Accuracy Configurable Adders with Negligible Delay Overhead in Exact Operating Mode,” in ACM Transactions on Design Automation of Electronic Systems (TODAES) , july. 2022. https://doi.org/10.1145/3549936

  • Embedded machine learning
  • Internet of things
  • Brain-inspired computing
  • Machine learning for reliability and safety-critical systems
  • Energy and security in smart buildings
  • Robust and energy-efficient system design
  • Hardware implementation of advanced neural networks on FPGA

  1. Professor Massoud Pedram, University of Southern California
  2. Professor Ali Afzali-Kusha, University of Tehran
  3. Professor Christian Hochberger, Technische Universit├Ąt Darmstadt
  4. Professor Muhammad Shafique, New York University (NYU) Abu Dhabi
  5. Dr. Mehdi Kamal, University of Tehran
  6. Dr. Behzad Ebrahimi, Islamic Azad University Science and Research Branch