Pouria Maleki - Personal Introduction

About Me

Hello! I'm Pouria Maleki, an Electrical Engineer (Control Systems) from Hamedan, Iran. My passion lies in Researching and Implementing cutting-edge methods in Artificial Intelligence, Deep Learning, and Reinforcement Learning to tackle real-world control problems.

As a teacher and researcher, I thrive on interdisciplinary collaborations that connect machine learning with industrial automation. Outside academia, I enjoy working on IoT projects and developing energy-efficient solutions to modern engineering challenges.

Education & Experience

M.S. in Electrical Eng. - Control

Bu Ali Sina University (2018-2021)

GPA: 3.91/4, Rank 1, Thesis: Intelligent traffic light control using DNNs.

B.S. in Electrical Eng. - Control

Hamedan University of Technology (2012-2017)

GPA: 3.46/4, Thesis: Energy-saving AC using sliding mode controller.

Electronics Teacher

Ministry of Education (2018–Present)

Teach Electricity, Magnetism, Circuits, PCB Design, Microcontroller Programming, etc.

MATLAB Instructor

Hamedan Univ. of Tech (2017)

Focus on Control Systems, Signal Processing

Audio Processor Design

Islamic Azad University (2019)

Voice detection with Raspberry Pi & STM32F103, real-time vehicle monitoring

Electrical Panel Builder

Iran Trans Co (2013)

Transformer repairs, power distribution systems

Thesis & Projects

Deep Q-Learning for Traffic Signal Control

Explores RL and Deep Q-Learning to minimize vehicle waiting times and reduce emissions at intersections.

Intelligent Traffic Light (2021)

Used Q-learning + YOLO to optimize traffic flow and reduce congestion.

Greenhouse Monitoring (2019)

Microcontroller-based design for temperature, humidity, and gas monitoring in greenhouses.

Internship Site Implementation (2016)

Developed a web platform to aid HUT students in selecting internship opportunities.

Publications

Object Detection for Vehicles with YOLO (2024)

Vehicle Dataset with 29,759 images. YOLOv7 achieves 85% precision and 85% mAP@0.5, emphasizing emergency vehicles.
Read Full Article

Iranian Vehicle Images Dataset for Object Detection Algorithm

3,000 images labeled (car, truck, bus). YOLOv8s: 91.7% precision, 92.6% mAP@0.5. ~10% boost over COCO-trained YOLOv8s.
Read Full Article

Flood Risk Analysis with Deep Learning (2024)

Compares LSTM, RF, and SVM. RF & LSTM excel in hazard prediction, enhancing risk mitigation strategies.
Read Full Article

Sustainable Energy Management in Cooling Systems (2023)

Uses fuzzy logic & adaptive nonlinear control for AC units. Balances renewable wind energy & grid power efficiently.
Read Full Article

Interests

I am deeply interested in Control Engineering and Artificial Intelligence, aiming to contribute as a researcher and teaching assistant in a leading academic institution. My goal is to engage in advanced AI-driven research and interdisciplinary collaborations bridging control systems with emerging technologies.

Specific areas of interest include:
• Machine Learning
• Deep Learning
• Reinforcement Learning
• Intelligent Control Systems

References

Dr. Amir Mosavi

Obuda University, Budapest, Hungary
amir.mosavi@nik.uni-obuda.hu

Dr. Hassan Khotanlou

Bu-Ali Sina University, Hamedan, Iran
khotanlou@basu.ac.ir | +98(81) 38303234

Dr. Soheil Ganjefar

Iran University of Science and Technology, Tehran
s_ganjefar@iust.ac.ir | +98(21) 73225763

Dr. Abbas Ramazani

Bu-Ali Sina University, Hamedan
a.ramazani@basu.ac.ir | +98(81) 38303229

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