Mohammad Saeed Abrishami
Email: abri442@usc.edu
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
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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)
- Publication
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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
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- 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
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- 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
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Programming
- 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