Mohammad Javad Adel

PhD Student, Mechanical Engineering

Sherbrooke, Canada.

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Overview

About

Work

Education

Awards

Publications

Languages

Skills

Interests

References

About

Highly accomplished and published Digital Electronics Engineer with a Master's focus on Neuromorphic Computing and AI/ML applications, consistently achieving top academic performance. Expert in advanced circuit design, simulation (Cadence Virtuoso, HSPICE), and programming (Py...

Work

Jan 2023 ·

IEEE & Springer Journals

Peer Reviewer

Sep 2021 → Sep 2024 ·

Shahid Beheshti University

Research Assistant

Education

May 2026 ·

Mechanical Engineering

University of Sherbrooke

Sep 2021 → Sep 2024 ·

Digital Electronics Engineering

Shahid Beheshti University

Awards

Sep 2021·

Top 3% Electrical Engineering Graduate Student

Recognized for ranking within the top 3% among all Electrical Engineering graduate students (2017-2021 cohort), demonstrating exceptional academic achievement.

Sep 2021·

Exceptional Talents Privilege

Granted direct admission to master's programs without requiring the university entrance exam, based on outstanding undergraduate performance.

Publications

A Novel Grid-Based Reconfigurable Strong PUF Architecture Integrated with MRAM Resistant to Deep Learning Attacks

IEEE Transactions on Computer-Aided Design of Integrated Circuit and Systems

Jan 2025·

A Novel Obfuscation Method Based on Majority Logic for Preventing Unauthorized Access to Binary Deep Neural Networks

Nature Scientific Reports

Languages

English

Fluent

Persian

Native

Skills

Programming Languages

Python, Verilog & VHDL, C Programming

EDA Tools & Simulation

Cadence Virtuoso, HSPICE, COMSOL, MATLAB

Interests

Music

Playing Settar (Traditional Instrument)

Sports

Playing Volleyball

References

Prof. Mohammad Hossein Moaiyeri

SMIEEE, Associate Professor of Electrical and Computer Engineering, Shahid Beheshti University, h_moaiyeri@sbu.ac.ir

Prof. Kian Jafari

MIEEE, Associate Professor of Engineering, University of Sherbrooke, Kian.Jafari@usherbrooke.ca

IEEE & Springer Journals

Peer Reviewer

N/A, N/A, N/A

Jan 2023

→

Present

Contributed to academic quality control by critically evaluating research manuscripts for leading journals in electrical engineering and computer science.

Reviewed 3 submitted manuscripts for the IEEE journals, ensuring adherence to scientific rigor and publication standards.

Evaluated 12 submitted manuscripts for the Springer Circuits, Systems, and Signal Processing journal, providing expert feedback for publication decisions.

Shahid Beheshti University

Research Assistant

Tehran, Tehran Province, Iran (Islamic Republic of)

Sep 2021

→

Sep 2024

Led advanced research in emerging technologies, focusing on Magnetic Tunnel Junctions (MTJs) and Physical Unclonable Functions (PUFs), applying AI/ML techniques for novel circuit designs.

Conducted 3 years of intensive research in Neuromorphic Computing, AI/ML, and Digital/Memory Design, contributing to cutting-edge spintronic device development.

Designed and meticulously simulated complex circuits using Cadence Virtuoso and HSPICE, including comprehensive layout and post-layout verification.

Applied Artificial Neural Networks (ANN), Machine Learning (ML), and Deep Learning (DL) with Python to develop innovative solutions for master's thesis.

Authored and co-authored 3 peer-reviewed publications in 'Nature Scientific Reports' and 'IEEE Transactions on Computer-Aided Design of Integrated Circuit and Systems'.

Shahid Beheshti University

Teaching Assistant

Tehran, Tehran Province, Iran (Islamic Republic of)

Sep 2023

→

Jan 2024

Provided essential instructional support for advanced digital electronics and VLSI courses, enhancing student practical skills and theoretical understanding.

Guided students through Logic Circuits Lab and VLSI Circuits, facilitating hands-on learning and complex design principles.

Supported student comprehension of advanced digital systems, contributing to improved academic performance and project completion rates.

4th Iranian Microelectronics Conference

Executive Assistant

Tehran, Tehran Province, Iran (Islamic Republic of)

Jan 2023

→

Dec 2023

Managed key logistical and administrative functions for a national microelectronics conference, ensuring seamless operations and successful event execution.

Provided critical executive support for the 4th Iranian Microelectronics Conference in 2023, contributing to its overall success.

University of Kashan

Teaching Assistant

Kashan, Isfahan Province, Iran (Islamic Republic of)

Sep 2018

→

May 2020

Delivered comprehensive teaching assistance across core electrical engineering subjects, reinforcing fundamental concepts and problem-solving abilities for undergraduate students.

Provided support for Electrical Circuits I, ensuring students grasped foundational circuit analysis and problem-solving techniques.

Assisted in Engineering Electromagnetic, clarifying complex theories and problem-solving methodologies for students.

Supported Engineering Mathematic, strengthening students' analytical and mathematical skills crucial for advanced engineering studies.

University of Sherbrooke

Sherbrooke, QC, Canada

May 2026

→

Present

Shahid Beheshti University

Tehran, Tehran Province, Iran (Islamic Republic of)

Sep 2021

→

Sep 2024

University of Kashan

Kashan, Isfahan Province, Iran (Islamic Republic of)

Sep 2017

→

Sep 2021

A Novel Grid-Based Reconfigurable Strong PUF Architecture Integrated with MRAM Resistant to Deep Learning Attacks

IEEE Transactions on Computer-Aided Design of Integrated Circuit and Systems

Proposed a novel grid-based reconfigurable Strong PUF architecture with enhanced resistance to deep learning attacks

A Novel Obfuscation Method Based on Majority Logic for Preventing Unauthorized Access to Binary Deep Neural Networks

Jan 2025

Nature Scientific Reports

Introduced an innovative obfuscation method utilizing majority logic to secure binary deep neural networks against unauthorized access, enhancing AI model security.

A Robust Deep Learning Attack Immune MRAM-Based Physical Unclonable Function

Jan 2024

Nature Scientific Reports

Developed a novel MRAM-based Physical Unclonable Function (PUF) demonstrating enhanced robustness and immunity against deep learning attacks, advancing secure hardware design.

Programming Languages

Python, Verilog & VHDL, C Programming.

EDA Tools & Simulation

Cadence Virtuoso, HSPICE, COMSOL, MATLAB.

Technical Concepts

Neuromorphic Computing, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Emerging Technologies, Digital/Memory Design, Healthcare Devices, Spintronic Devices, Magnetic Tunnel Junctions (MTJs), Physical Unclonable Functions (PUFs), Circuit Design, Post-layout Simulations, Digital Electronics, VLSI, Microcontroller Programming, FPGA.

Professional Attributes

Teamwork, Research, Creativity, Problem Solving, Willingness to Learn, Flexibility.