i Saeed Abrishami Page
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Mohammad Saeed Abrishami


I am a Ph.D. student 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.

Research Experience

Jan. 2018 - Now: Graduate student researcher at SPORT lab under supervision of Prof. Massoud Pedram

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)


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", https://arxiv.org/abs/1801.08618.

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, MySQL, TensorFlow

Digital Design

  • Cadence Virtuoso, SoC Encounter, Vi- vado HLS, Xilinx ISE, Modelsim, Design Compiler, Liberty NCX, Calibre, Quar- tus, PrimeTime, L-edit, S-edit

Circuit Design

  • HSPICE, ADS, Altium Designer, Code- VisionAVR, Proteus

Frameworks / SDKs

  • Google Cloud, Amazon AWS, Firebase, PostgreSQL, Jupyter