Hello!
I'm Mohammad Mahdi Rezapour
About
Hello and welcome! I am Mohammad Mahdi Rezapour (Persian: محمد مهدی رضاپور), an Assistant Professor at the Faculty of Computer Engineering, University of Isfahan. My academic path in computer engineering began with a Bachelor's degree from Malayer University (2014) and continued with a Master's from Isfahan University of Technology (2016) under the supervision of Dr. Maziar Palhang. I then completed my Ph.D. at the University of Isfahan, graduating with the first rank and publishing three papers in Q1 journals (including one in the top 1%), under the guidance of Prof. Mohammad Ali Nematbakhsh and Dr. Afsaneh Fatemi at the BigData Laboratory.
For over a decade, my professional focus has been on data mining and developing AI solutions; a path that encompasses a wide range of challenges, from analyzing online games and social networks to optimization in heavy industries like steel manufacturing. However, my world is not limited to the university; my passion for creating virtual worlds has led me to work as an indie game developer, utilizing tools like CryEngine to successfully execute several major projects.
My main research interests currently revolve around the following areas (though I'm always exploring new topics):
- Artificial Intelligence broadly
- Large Language Models (LLMs)
- Video Games and Social Platforms
- Information Retrieval
Data scientist & AI Developer & Video Game Developer.
- Birthday: 27 Dec 1991
- Degree: Ph.D. in Software Engineering
- Email: mm.rezapour AT ec.iut.ac DOT ir
- Phone: +983137934537
- City: Isfahan, Iran
- Address: Website
- Weekly Schedule: View Schedule (PDF)
- ResearchGate: My research activities
- Google Scholar: My latest articles
- LinkedIn: Works
- ORCID.org: Peer Review & Editorial Activities
- Project: Available
Detailed information regarding my publications can be found on Google Scholar (latest articles) and ResearchGate (overall research activities). My ORCID profile provides a record of my peer reviews for scientific journals and editorial contributions. You may connect via my professional profile on LinkedIn or consult my University of Isfahan Weekly Schedule. I am currently open to inquiries regarding new Projects.
News
Stay updated with the latest happenings and announcements.
Call for Papers: Special Issue on Large Language Models
The Journal of Computing and Security invites submissions for a special issue on "Large Language Models and Their Applications." This issue will explore the latest advancements, challenges, and future directions of LLMs. We welcome original research articles and reviews.
Guest Editors:
- Dr. Mohammad Ali Nematbakhsh (Full Professor, University of Isfahan)
- Dr. Mohammad Mahdi Rezapour (Assistant Professor, University of Isfahan)
New Graduate Course Offering: Deep Learning
For the upcoming Spring semester, I will be instructing a "Deep Learning" course for graduate students (Master's and PhD) in the Computer Engineering Department. The curriculum will have a significant focus on the fields of Generative AI and Large Language Models (LLMs).
Key Textbooks:
- Understanding Deep Learning by S. J. Prince (2024)
- Deep Learning for Beginners by P. Rivas (2020)
- Build a Large Language Model (From Scratch) by S. Raschka (2024)
Research Meeting: Innovative Research Areas in Computer Games
Announcing a scientific meeting for Research Week on the topic of "Innovative Research Areas in Computer Games," presented by Dr. Mohammad Mahdi Rezapour, a faculty member of the Software Engineering group at the University of Isfahan.
Contact for Info
Resume
If you would like to receive my complete resume, please kindly send a message.
High Impact Peer Reviews
Journal of Big Data
2025
Springer Nature (Q1)
- Reviewer for topics including Emotionally Aware AI Agents, 3D Semantic Segmentation, and Smart Traffic Management.
Interactive Learning Environments
2025
Taylor & Francis (Q1)
Scientific Reports
2025
Nature Portfolio (Q1)
- Active reviewer for manuscripts covering Deep Learning, Sports Analytics, and AI behavior planning.
- Completed approximately 12 reviews in 2025.
International Journal of Human-Computer Interaction
2025
Taylor & Francis (Q1)
Multimedia Tools and Applications
2022 - 2025
Springer Nature (Q1)
- Completed over 13 reviews focusing on multimedia systems and tools.
Journal of Ambient Intelligence and Humanized Computing
2025
Springer Nature (Q1)
- Reviewer for AI-powered game development topics.
High Impact Peer Reviews (Continued)
Discover Artificial Intelligence
2025
Springer Nature (Q1)
- Reviewer for manuscripts on Reinforcement Learning and Optimization.
Research in Autism Spectrum Disorders
2025
Elsevier (Q1)
- Completed 3 reviews.
Heliyon
2025
Elsevier (Q1)
Journal of Computational Social Science
2024
Springer Nature (Q2)
Editorial & Conference Service
Guest Editor
2025
Journal of Computing and Security
Special Issue on "Large Language Models and Their Applications".
Scientific Committee Member
2025
8th International Conference on Computer Games; Opportunities and Challenges (CGCO)
University of Isfahan
Verified Record
My full peer review history is verified and available on the ORCID Researcher Profile.
Projects
This section showcases various projects completed by my students and myself. My own recent work has primarily focused on artificial intelligence, with applications in social networks and the steel industry. However, I also bring over 13 years of experience in designing and developing video games (particularly serious games), and you'll find some examples here. Furthermore, I have supervised student projects involving the development of information retrieval systems equipped with semantic search capabilities.
- All
- My Video Games
- My Students Games
- NLP
- Industry 4.0
DeepSkill
Deepskill is an AI-based system designed to assess the skills and performance of players in multiplayer games. This system can analyze a variety of behavioral and performance data from players, including not only standard metrics like paths traveled, teamwork, and damage dealt to opponents but also more complex data such as chat messages. It provides insights into player skills with an overall accuracy exceeding 96%. Three papers about this system have been published in top-tier Q1 journals.
OptimaSteel
The AI-based system for optimizing sheet speed on the pickling line of a cold rolling steel unit is one of the products developed under the project contracted with Mobarakeh Steel Company in Esfahan. This system can maximize sheet speed on the pickling line using real-time data monitored from the steel slab rolling stages, ensuring that while the oxide layer on the sheets is thoroughly cleaned, the quality of the sheets is also maintained.
Yafteh
Our AI-based Document Retrieval System is designed to efficiently and accurately locate information within large volumes of data. Leveraging cutting-edge natural language processing techniques, the system understands and interprets user queries in a sophisticated manner, allowing it to retrieve relevant documents with high precision. By continually learning from interactions and feedback, our system optimizes search results over time, ensuring that users receive the most pertinent information quickly. This innovative approach not only saves time but also enhances productivity by enabling seamless access to critical data across various formats and sources.
Alone in Transylvania
"Alone in Transylvania" is a survival horror game set within the action-adventure genre, inspired by elements of fear and suspense. The storyline follows an individual who learns about an ancient treasure hidden in their grandfather's long-abandoned hotel. After discovering documents and evidence in their grandfather’s archives, they decide to seek the treasure. According to rumors, the hotel was cursed by their ancestor after his murder to ensure that no one would ever find it. Despite these ominous tales, the protagonist chooses to ignore them and pursue the treasure. However, upon entering the eerie and mysterious hotel, they encounter numerous challenges and realize that they must abandon thoughts of the treasure and focus solely on finding a way out...
Conversional AI
We offer an innovative conversational AI (chatbot) designed to revolutionize user interaction across various platforms. This advanced chatbot utilizes cutting-edge natural language processing algorithms to engage users in meaningful conversations, understand their needs, and provide accurate responses. It seamlessly integrates with existing systems, enhancing customer service, streamlining processes, and improving overall user satisfaction. Our product is customizable, allowing businesses to tailor its functionalities to meet specific industry requirements, ensuring a personalized experience for every user. Whether it's handling customer inquiries, guiding users through complex processes, or serving as a virtual assistant, our Conversational AI is an essential tool for businesses looking to enhance their digital communication strategies.
Courses
The following are some of the courses I teach at the University of Isfahan.
Deep Learning
Deep Learning uses artificial neural networks with multiple layers to learn complex patterns from data, enabling computers to automatically extract features and make predictions in tasks like image recognition and language processing.
Video Game Design
The course teaches students the essential elements of creating video games, from concept development to basic programming and interactive design. Through hands-on projects, participants learn to transform creative ideas into engaging digital experiences.
Information Retrieval
Information Retrieval (IR) focuses on the science of searching for and finding relevant information within large collections of data. The course covers essential concepts like indexing, query processing, ranking algorithms, and evaluation metrics such as precision and recall. Students learn how modern search engines work and how to effectively organize and retrieve information from vast databases.
Fundamentals of Data Science
Fundamentals of Data Science introduces the fundamental principles and techniques essential for understanding and working with data in various disciplines, equipping students with the skills needed to analyze and derive insights from data effectively. This course covers topics ranging from data wrangling and visualization to statistical analysis and machine learning basics.
Fundamentals of Database Design
The course covers essential principles and practices for creating efficient and well-structured databases, providing a solid foundation for designing robust data storage solutions. Students will learn key concepts in database design, normalization techniques, and best practices for optimizing database performance.
Python Programming
This course introduces students to one of the most popular and versatile programming languages in the world. It covers essential concepts like variables, data structures, control flow, functions, and object-oriented programming, enabling learners to write efficient and readable code for various applications.
Contact
You can get in touch with me through the following ways:
Address
Room 117, Faculty of Computer Engineering, University of Isfahan, Hazarjarib Street, Isfahan City, Isfahan Province, Iran
Call Me
+98 3137934537
Email Me
mm.rezapour A.T ec.iut.ac DOT ir