Conference Side Event: DANAGAP Event
Event Date: February 15, 2026
Time: 13 to 16
Location: Pouriyaye-Vali Hall
Event Managers: Dr. Behrang Barekatain, Dr. Mostafa Jaafari, Dr. Nasim Norafza, Eng. Erfaneh Hosseini, Eng. Amirhossein Foroutan
Event Brief: One of the main concerns of job-seeking students is gaining familiarity with and receiving valuable insights from professionals across various information technology fields. To address this, the Faculty annually organizes an event. This year, concurrent with the conference, the second event will be held as part of the comprehensive DANAGAP program at the Islamic Azad University, Najafabad Branch. In this event, 10 specialized tables will be set up on different topics, where students at each table will engage in dialogue with a highly experienced expert who possesses extensive scientific and practical expertise in that specific field in industry and academic research.
| Conference Workshops by the Faculty of Artificial Intelligence, Social and Advanced Technologies |
Presenter: Engineer Mohsen Sheikhan, Chairman of Sahand Communications Nayesh Company
Date: February 7, 2025
Time: 9 AM - 11 AM
Location: Online (Link: http://vs.iaun.ac.ir/computer-faculty)
Abstract:
In this hands-on workshop, participants will learn both basic and advanced concepts of Docker and how containerization can be used to simplify and efficiently manage large networks. This session will cover topics such as creating Docker images, working with containers, Docker Compose, networking principles in Docker, and implementing distributed services. By the end of the workshop, participants will be able to design and deploy modern container-based architectures in large-scale networks.
Presenter: Dr. Alireza Hajian, Faculty Member
Date: February 7, 2025
Time: 11:30 AM - 1:30 PM
Location: Online (Link: http://vs.iaun.ac.ir/computer-faculty)
In the last decade, AI has become a key tool for enhancing productivity and decision-making in complex industries. The oil industry, as one of the most data-driven and capital-intensive sectors in the world, holds immense potential for leveraging machine learning, data analytics, and intelligent optimization technologies. This workshop aims to highlight the economic and operational opportunities that AI can bring to the oil industry’s value chain.
Abstract:
The "Golden Opportunities of AI in the Oil Industry" workshop will demonstrate how machine learning and data mining can be applied across the entire oil value chain—from exploration to refining and distribution—to create economic and operational value. Topics will include seismic data interpretation and reservoir modeling, drilling and well completion optimization, predictive maintenance of rotating and stationary equipment, production monitoring and forecasting, and improving quality and efficiency in refining processes. In addition to domestic and international successful examples, the workshop will cover frameworks for application selection, return on investment estimation, total cost of ownership, field-to-industrial-scale experimentation, process monitoring system integration, data governance, and security/compliance requirements.
This workshop is suitable for managers, operational and maintenance experts, and researchers, and at the end, participants will develop an initial roadmap and a list of prioritized applications tailored to their organization.
Presenter: Dr. Amin Hadi, Faculty Member, Islamic Azad University
Date: February 7, 2025
Time: 2:00 PM - 4:00 PM
Location: Online (Link: http://vs.iaun.ac.ir/computer-faculty)
In the era of digital competition, AI has become a vital tool for success in marketing. Organizations and brands must leverage smart technologies to better understand customer behavior, personalize content, and optimize advertising strategies.
Abstract:
Given the rapid growth of AI technologies, it’s no longer possible to compete in the digital space without utilizing these tools. In this workshop, participants will be introduced to the practical applications of AI in digital marketing—from customer behavior analysis and intelligent content creation to data-driven advertising campaigns, search engine optimization, market trend prediction, and intelligent budget management. The workshop will also cover new AI tools, ethical considerations, and challenges in real-world business implementation.
Specialized Workshop: Using computer vision & deep learning to detect cancer types in CT-Scan and MRI imagesPresenter: Dr. Alireza Naghsh, Faculty Member
Date: February 7, 2025
Time: 16:30 - 18:30 AM
Location: Online (Link: http://vs.iaun.ac.ir/computer-faculty)
In recent years, Artificial Intelligence (AI) and Computer Vision have emerged as transformative technologies in medical sciences. The rapid advancement of deep learning has enabled automated and precise analysis of medical images, opening new horizons in diagnosis, treatment, and patient monitoring. This workshop aims to introduce participants to the latest interdisciplinary applications of these technologies in medicine.
Abstract:
This workshop provides an overview of modern applications of computer vision and deep learning in medical imaging, illustrating how these methods are used in the analysis of MRI, CT scans, ultrasound, digital pathology, and ophthalmology. Key topics include lesion segmentation and detection, disease classification, image registration and alignment, screening, and monitoring treatment progress. The workshop will also address research and industrial trends, along with challenges such as data quality and diversity, and patient confidentiality. This is an introductory workshop with no programming or hands-on implementation. It is suitable for students and enthusiasts in digital health and medical imaging, offering an up-to-date view of the applications of these technologies.
| Specialized Joint Panel and Workshop by the Faculty of Medical Science and the Faculty of Artificial Intelligence, Social and Advanced Technologies |
Specialized Session: Expert Session on Intelligent Simulation in Medical Education: Convergence of AI, Data Science, and Clinical Education
Date: 9 February 2026
Time: 9 to 11 AM, Online (Link: http://vs.iaun.ac.ir/computer-faculty)
This session will examine the role of AI and data science in the transformation of medical education and clinical simulation, emphasizing the synergy of engineering knowledge, AI, and clinical and educational experiences. The panel aims to develop intelligent learning environments, improve the effectiveness of learner education, and create a secure and scalable technological infrastructure for future medical education.
Panel Members (Left to Right):
Soleiman Ahmadi: Professor of Shahid Beheshti University of Medical Sciences (Panel Chair)
Dr. Seyed Farzin Mir Cheraghi: Associate Professor of Nephrology, Gonabad University of Medical Sciences, Head of the Simulation Committee in Medical Sciences
Dr. Sara Shahbazi: Faculty of Medical Education, Shahrekord University of Medical Sciences, Head of the Committee for Empowering Educational Smartization Activists
Dr. Noushin Kohan: University of Intelligence
Dr. Behrang Barakatin: Faculty Member, Faculty of Artificial Intelligence, Social and Advanced Technologies (Computer Engineering)
Dr. Shervan Fekri-Ershad: Faculty Member, Faculty of Artificial Intelligence, Social and Advanced Technologies (Computer Engineering)
Dr. Marzieh Sadat Minouei: Faculty Member, Faculty of Medical Science
Dr. Alireza Naghsh: Faculty Member, Faculty of Artificial Intelligence, Social and Advanced Technologies
Title of Workshop: Artificial Intelligence as a Tool for Creativity and Learning
Date: 9 February 2025
Time: 13 to 15, Online (Link: http://vs.iaun.ac.ir/computer-faculty)
Introduction: This workshop introduces artificial intelligence as a new tool for enhancing creativity and improving the learning process. Participants will learn about the practical applications of artificial intelligence in ideation, problem solving, and interactive learning, and learn how to use this technology to increase productivity, creative thinking, and innovative educational experiences in scientific and professional environments.
Presenters (Left to Right):
Dr. Ehsan Toofaninejad: Assistant Professor of Educational Technology, Shahid Beheshti University of Medical Sciences, Head of the Artificial Intelligence Committee of the Staff Working Group of the Program for New Technologies.
Dr. Soleiman Ahmadi: Professor of Medical Education, Shahid Beheshti University of Medical Sciences, Secretary of the Staff Working Group of the Program for the Transformation of New Technologies and Smartization in Medical Education.
Dr. Marzieh Sadat Minouei: Faculty Member, Faculty of Medical Science
Dr. Zahra Beheshti: Faculty Member, Faculty of Artificial Intelligence, Social and Advanced Technologies (Computer Engineering)
| Specialized Joint Panel by the Faculty of Law and the Faculty of Artificial Intelligence, Social and Advanced Technologies |
Specialized Session: Intelectual Property in AI Era: From Human Creation upto Algorithms' Dominance
Date: 10 February 2026
Time: 13 to 15 in Person at the Faculty of Human Science, Ferdosi Hall
Panel Members (Left to Right):
Dr. Masoud Raiee: Professor, Dean, Faculty of Law (Panel Chair)
Dr. Ali Komeilipour: Faculty Member, Faculty of Law
Dr. Alireza Ansari Mahyari: Faculty Member, Faculty of Law
Dr. Mehdi Sharifi: Faculty Member, Faculty of Artificial Intelligence, Social and Advanced Technologies (Computer Engineering)
Specialized Session: The Role of Machine Learning in Science New Pradaigm Pruction: Transforming from Modeling to Innovation
Date: 9 February 2026
Time: 13 to 15 in Person at the Faculty of Electrical Engineering
Panel Members (Left to Right):
Dr. Majid Moazzami: Assoc. Professor, Dean, Faculty of Electrical Engineering (Panel Chair)
Dr. Hamid Mahmoudian: Faculty Member, Faculty of Electrical Engineering
Dr. Mohammad Amin Honarvar: Faculty Member, Faculty of Electrical Engineering
Dr. Farhad Faghani: Faculty Member, Faculty of Electrical Engineering
Dr. Nasim Norafza: Faculty Member, Faculty of Artificial Intelligence, Social and Advanced Technologies (Computer Engineering)
Specialized Session: Analyzing the Application of Data Science and Machine Learning in Management
Date: 10 February 2026
Time: 9 to 11 in Person at the Faculty of Human Science, Ferdosi Hall
Panel Members (Left to Right):
Dr. Bita Yazdani: Assist. Prof., Faculty Member, Faculty of Human Science (Panel Chair)
Dr. Naser Khani: Faculty Member, Faculty of Human Science
Dr. Sommayeh Salehi: Faculty Member, Faculty of Human Science
Dr. Mehdi Akbari: Faculty Member, Faculty of Artificial Intelligence, Social and Advanced Technologies (Computer Engineering)
Specialized Session: Artificial Intelligence, Entrepreneurship, Skill
Date: 9 February 2026
Time: 9 to 11 in Person at the Faculty of Human Science, Ferdosi Hall
Panel Members (Left to Right):
Dr. Mohammad Ali Zanjani: Assist. Prof., Faculty Member, Faculty of Technology Development and Entrepreneurship (Panel Chair)
Dr. Mohammadreza Forghani: Faculty Member, Faculty of Technology Development and Entrepreneurship
Dr. Mehrdad Honarmand: Faculty Member, Faculty of Technology Development and Entrepreneurship
Dr. Fereshteh Ahmadi: Faculty Member, Faculty of Technology Development and Entrepreneurship
Dr. Shohreh Ajoudanian: Faculty Member, Faculty of Artificial Intelligence, Social and Advanced Technologies (Computer Engineering)
Specialized Session: Application Analysis of AI in Urban Planning: Accomplished Works and Future Direction
Date: 10 February 2026
Time: 11 to 13 in Person at the Faculty of Human Science, Ferdosi Hall
Panel Members (Left to Right):
Dr. Fereshteh Ahmadi: Assist. Prof., Faculty Member, Faculty of Society and Media (Panel Chair)
Dr. Shirin Toghyani: Faculty Member, Faculty of Society and Media
Dr. Zeinab Talebi: Faculty Member, Faculty of Society and Media
Dr. Amirhosein Shabani: Faculty Member, Faculty of Society and Media
Dr. Mehdi Jabalameli: Faculty Member, Faculty of Artificial Intelligence, Social and Advanced Technologies (Computer Engineering)
Specialized Session: Application Analysis of AI in Civil Engineering: Simulation and Optimization
Date: 9 February 2026
Time: 11 to 13 in Person at the Faculty of Civil Engineering, Sheikh Bahaie Hall
Panel Members (Left to Right):
Dr. Mehdi Fazilati: Assist. Prof., Faculty Member, Faculty of Civil Engineering (Panel Chair)
Dr. Mohsen Saadat: Faculty Member, Faculty of Civil Engineering
Dr. Ehsan Delavari: Faculty Member, Faculty of Civil Engineering
Dr. Hamid Rastegari: Faculty Member, Faculty of Artificial Intelligence, Social and Advanced Technologies (Computer Engineering)
Specialized Session: The Role of AI in the Education of International Students and Developing International Collaborations
This session will be presented in Arabic language.
عنوان الندوة : دراسة دور الذکاء الإصطناعي فی تعلیم الطلاب الدولیین و تطوير التعاون الدولي
ستعقد هذه الندوه باللغة العربية
Date: 8 February 2026
Time: 13 to 15 (Iran Time), Online in http://vs.iaun.ac.ir/computer-faculty
With the increasing development of Artificial Intelligence (AI) and its widespread use in various scientific, industrial and medical fields, the importance of using this tool appropriately in the field of international affairs has doubled. In this regard, this meeting will examine the role of AI in the education of international students from various educational, research and cultural perspectives, as well as the development of international collaborations between Iranian universities and prestigious universities around the world.
مع التوسعة الیومیة للذکاء الإصطناعي و تعلمة فی المجالات المختلفة العلمیة و الصناعیة و الطبیة، ان اهمیة استخدام هذا الجهاز فی مجال الأمور الدولیة قد تزاید اکثر. وعلی هذا الاساس، فيهذه الندوه نقوم بدراسة دور الذکاء الإصطناعي في تعلیم الطلاب الدولیین من زوایا مختلفة و منها التعليمي والبحثي و الثقافي وایضاً تطويرالتعاون الدولی بین الجامعات الایرانیة و الجامعات المعتمدة فی العالم.
Panel Members (Left to Right):
Dr. Avid Avokh: Assoc. Prof., Dean, Faculty of International Students (Panel Chair)
Dr. Ahmed Naser Hussein: Islamic University of Najaf (Iraq), Faculty Member, Head of Artificial Intelligence Department
Dr. Ahmed Saeed Al-Akayshee: Islamic University of Najaf (Iraq), Faculty Member, Head of Medical Devices Department
Dr. Zainab Falah Jaber: Islamic University of Najaf (Iraq), Faculty Member
Dr. Sobhan Emami: Faculty Member, Faculty of International Students
Dr. Behrang Barekatain: Faculty Member, Dean, Faculty of Artificial Intelligence, Social and Advanced Technologies (Computer Engineering)
