i Saeed Abrishami Page
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Mohammad Saeed Abrishami


I am a Ph.D. candidate at the Ming Hsieh Electrical Engineering department of University of Southern California under supervision of Prof. Massoud Pedram. I have received my B.Sc. in Electrical Engineering from University of Tehran in 2013.

Course pages: Here is EE658 (last updated Spring 2024) and EE355 (last updated Spring 2021)

Research Experience

Jan. 2018 - Present: Research assistant at SPORT lab under supervision of Prof. Massoud Pedram

June 2020 - August 2020: Machine learning research intern at PayPal credit modeling team

May. 2018 - Aug. 2018: Deep learning research scientist in Clarifai

Jan. 2015 - Jan. 2016: Graduate student researcher at USC under supervision of Prof. Jeff. Draper

March 2014 - July 2014: Intern at Processor Architecture Laboratory at ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE (EPFL) under supervision of Prof. Paolo Ienne

Jun. 2013 - Aug. 2013: Intern at Chair of Dependable Nano Computing (CDNC) at Karlsruhe Institute of Technology (KIT) under supervision of Prof. Mehdi B. Tahoori

Jul. 2012 - Jun. 2013: Research assistant in Silicon Intelligence and VLSI Signal Processing Laboratory (SILAB) at University of Tehran under supervision of Prof. Sied Mehdi Fakhraie (RIP)

  • Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian and Massoud Pedram, "Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space", ISQED 2020.

  • Mohammad Saeed Abrishami, Hao Ge, Justin Calderon, Massoud Pedram and Shahin Nazarian, "NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework", ISQED 2020.

  • Mohammad Saeed Abrishami, Massoud Pedram and Shahin Nazarian, "CSM-NN: Current Source Model Based Logic Circuit Simulation - A Neural Network Approach", ICCD 2019.

  • Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen and Massoud Pedram, "A Meta-Learning Approach for Custom Model Training", AAAI 2019.

  • Amir Erfan Eshratifar, Mohammad Saeed Abrishami and Massoud Pedram, "JointDNN: an efficient training and inference engine for intelligent mobile cloud computing services", IEEE Transactions on Mobile Computing 2019.

  • M. Saeed Abrishami, Luciano Nocera, Melissa Mert, Ivan A. Trujillo-Priego, Sanjay Purushotham, Cyrus Shahabi and Beth A. Smith , "Identification of Developmental Delay in Infants using Wearable Sensors: Full-Day Leg Movement Statistical Feature Analysis", IEEE Journal of Translational Engineering in Health and Medicine 2018.

  • M. Saeed Abrishami, Alireza Shafaei, Yanzhi Wang, Masoud Pedram, "Optimal Choice of FinFET Devices for Energy Minimization in Deeply Scaled Technologies", 16th International Symposium on Quality Electronic Design (ISQED 2015).

  • Farzad Farshchi, M. Saeed Abrishami, Sied Mehdi Fakhraie, "New Approximate Mul- tiplier for Low Power Digital Signal Processing", 17th CSI International Symposium on Computer Architecture and Digital Systems (CADS2013) .

  • Amin Morad Hasel, M. Saeed Abrishami, Sied Mehdi Fakhraie, Babak Najjar Arabi, "Hardware Implementation of Video Filter Using Spatial Masks", 18th National CSI Computer Conference (CSICC2013) .

Selected Graduate Courses
  • CSCI570 Analysis of Algorithms
  • CSCI567 Machine Learning
  • CSCI561 Artificial Intelligence
  • MATH650 Statistical Consulting
  • EE559 Mathematical Pattern Recognition
  • EE441 Linear Algebra
  • EE503 Probability
  • CSCI585 DataBase Systems
  • CSCI587 Geospatial Information Management
  • CSCI535 Multimodal Probabilistic Learning of Human Communication
  • EE457 Computer Organization
  • EE577a VLSI System Design
  • CSCI658 Diagnosis and Design of Reliable Digital Systems
  • CSCI450 Computer Networks
Teaching Experience
  • USC EE477 MOS VLSI: Fall 2014, Summer 2015, Spring/Summer 2016
  • USC EE658 Diagnosis and Design of Reliable Digital Systems: Fall 2016
  • USC EE355 Software Design for Electrical Engineers: Spring 2017
  • USC CSCI585 DataBase Systems: Summer/Fall 2017
  • USC CSCI103 Introduction to Programming: Spring/Fall 2015
  • USC EE503 - Probability for Electrical Engineers: Spring 2017
  • UT Electronics I : Spring/Fall 2012, Spring 2013
  • UT VLSI Design: Fall 2012, Fall 2013
  • UT Advanced VLSI Design (graduate course): Fall 2012
  • UT Computer Architecture Lab: Spring 2013
  • UT Digital Electronics: Spring 2013
  • UT Introduction to Computing Systems and Programming: Fall 2009
Computer and Technical Skills


  • Python, C/C++, MATLAB, R, SQL, Shell script, HTML

Frameworks / SDKs

  • PyTorch, TensorFlow (v1), Keras, Google Cloud Platform, Amazon AWS, MySQL, Jupyter, scikit-learn

Digital Design

  • Cadence Virtuoso, SoC Encounter, Vivado HLS, Xilinx ISE, Modelsim, Design Compiler, Liberty NCX, PrimeTime, HSPICE