Mohammad Javad Adel

Mohammad Javad Adel

Digital Electronics Engineer | AI/ML Researcher

Tehran, IR.

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 (Python, Verilog/VHDL), evidenced by three peer-reviewed publications in prestigious scientific journals. Seeking to leverage deep technical expertise and research acumen in a challenging R&D or advanced engineering role within the semiconductor, AI hardware, or emerging technologies sector.

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Work

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IEEE & Springer Journals

Peer Reviewer

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Shahid Beheshti University

Research Assistant

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Shahid Beheshti University

Teaching Assistant

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4th Iranian Microelectronics Conference

Executive Assistant

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University of Kashan

Teaching Assistant

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Education

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Digital Electronics Engineering

Shahid Beheshti University

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Electrical Engineering

University of Kashan

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Awards

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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.

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Exceptional Talents Privilege

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

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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

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

Nature Scientific Reports

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

Nature Scientific Reports

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Languages

English

Fluent

Persian

Native

French

Basic

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Skills

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

Programming Languages

Python, Verilog & VHDL, C Programming

EDA Tools & Simulation

Cadence Virtuoso, HSPICE, COMSOL, MATLAB

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Interests

Music

Playing Settar (Traditional Instrument)

Sports

Playing Volleyball

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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

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