My name is Mohammadreza Najafi. I am a Master’s student at the Department of Computer Engineering, Chosun University, South Korea. My research interests include Machine Learning, Computer Vision, Low power and Realtime Computer Vision for Embedded Systems, Adaptive Neuro-Fuzzy Inference Systems, Robotics and Autonomous systems.

Current Position

–Master Student at Computer Engineering Department at Chosun University , South Korea

–Research Assistant at CSLab ,Chosun University, South Korea

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Publications

An Ultra-Low-Computation Model for Understanding Sign Languages @ Expert system with application Journal ,2024.

MSDF-SVM: Advantage of Most Significant Digit First Arithmetic for SVM Realization @ Asilomar Conference on Signals, Systems, and Computers 2023

Ice Detection on Edge Device Based on Most Significant Digit First SVM @ The 6th International Conference on Video and Image Processing,2022

Integration of Wearable and Affective Computing via Abstraction and Decision Fusion Architecture @ A25th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks,2024.

Simulation of economic dynamic systems using deep artificial neural networks @ Iranian National Informatics Conference

Abstraction and Decision Fusion Architecture for Resource-Aware Image Understanding with Application on Handwriting Character Classification @ Under review at Applied soft computing journal,2024.

Efficient BLACK-ICE Detection for Low Power Edge Devices @ Under review at the 15th International Conference on Ubiquitous and Future Networks,2024.

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Patents

1. Efficient Low-Power Vision Based BLACK-ICE Detection Model Using CCTV with Minimal Training Image Requirements.

2. An Intelligent Low power System for Sign language Detection.

3. Leveraging Data Abstraction Techniques to Reduce Computation and Enhance Efficiency.

4. Efficient Hardware Accelerators for K-Nearest Neighbors (k-NN) for Classification by using Most Significant Digit First Arithmetic.

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Research Exprience

Chosun university

[March 2022 until now] Research on low-power computer vision algorithms for deploying on embedded devices in field of object detection and classification

Research on using Adaptive Neuro-Fuzzy Inference System in computer vision application

DHAutoware Company [Jun 2023 to Dec 2023] Research on optimizing machine learning algorithm for designing Intelligence Surround View System for Vehicle for Embedded Devices

Chosun university and NH company(LINC project)

[August 2022 to January 2023] Design low power crowd detection alert system and crowd alert system on CCTVs(edge device)

American Institute of Aeronautics and Astronautics(AIAA)

[September 2018 to May 2019] In the \textbf{AIAA} Aircraft Design Competition as the design of vertical electric aircraft with the ability to fly within the city,I was the designer of a Autonomy system and aircraft control system.

The proposal of our team won the first place in this competition.

Sharif University of Technology

[August 2019 to Present] Research on using ANN as tool for solving Financial Dynamic Systems PDEs

Bachelor Thesis: Using Deep reinforcement learning to grab an object in 3D from one point to another point.Practical implementation of this network on the robotic arm in the control laboratory.

Design automate lifeguard quad-copter which can detect drowning by its embed camera.

Institute For Research In Fundamental Sciences (IPM)

[May 2019 to present] Using deep neural network and image processing to remove HTC Vive controller.In this research project, I trained a deep neural network that could recognize the texture of the hand in the input image,then connected the HTC Vive headset camera to this network. This allowed me to remove the controllers and execute all the controller commands without using the controller.

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Academic Projects

collaborating with the DHautoware R&D team to design an intelligent surround view system for vehicles. This project aims to leverage artificial neural networks (ANN) to generate a bird-eye view transformation matrix without manual calibration, improving safety and convenience in automotive applications.

Deploy low power iced road surface recognition on CCTVs(edge device), NH company and university LINC project.

Deploy low power crowd detection and crowd alert system on CCTVs(edge device), NH company and university LINC project.

Block point detection in which deploy on the CCTV embedded board,university LINC project.

Programming a Maze Game with C}, final project of programming course.

Construction of steam engine in small dimensions, final project of thermodynamics course.

Scheduling a rescue quad-copter With Arduino processor }, final project of Control automatic course.

Design and manufacture of vibrating stand test} ,final project of Vibration course.

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Academic Experience

2022-2023 Research Assistant in computer system Lab in computer engineering department at chosun university

2020-2021 Research Assistant at the Institute for Research in Fundamental Sciences (IPM), School of Computer Science

2017 Member of the executive staff of the Fluid-structure Interaction workshop (FSI) École polytechnique Université Paris-Saclay and sharif university of technology(With certificate from Center of excellence in Aerospace Systems of Sharif University

2020 Teaching recurrent neural networks and NLP at Loop Academy

2020 Teaching the basic concepts of artificial intelligence in the Scientific Association of the Faculty of Aerospace Engineering at Sharif University

2018 Teaching assistant of Arduino laboratory