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Dean of the Faculty of Mathematics and Computer Science at Amirkabir University Emphasizes Artificial Intelligence and Data Mining as Key Areas of Global Advancement.
| Last update: 2025/02/8 |
The head of the Faculty of Mathematics and Computer Science at Amirkabir University of Technology highlighted artificial intelligence and data mining as some of the most critical fields driving global progress, stating that these sciences are undoubtedly founded on mathematics, computer science, and statistics.
According to the Public Relations Office of Amirkabir University of Technology, Dr. Dariush Kiani, speaking at the Second Artificial Intelligence and Data Mining Day (DAI-DAY) held at the university, emphasized the importance of universities in developing modern technologies. He stated that advancements in artificial intelligence and data science require a balanced approach and fair resource allocation.
He noted that the expertise and deep knowledge of experienced faculty in mathematics and computer science must be leveraged to properly facilitate the growth of these fields.
Dr. Kiani also described such events as crucial for fostering academic enthusiasm among students and researchers and expressed appreciation for the efforts of the event organizers in creating a platform for knowledge exchange.
He reiterated that artificial intelligence and data mining are among the most essential fields for global progress, emphasizing that these disciplines are fundamentally based on mathematics, computer science, and statistics. He further stated that at the Faculty of Mathematics and Computer Science at Amirkabir University, these connections have been deeply and effectively integrated into academic programs and research.
Following Dr. Kiani’s remarks, Behnam Yousefi Mehr, Executive Secretary of the Second Artificial Intelligence and Data Mining Day, spoke about the importance and objectives of the event, stating that the gathering aims to bridge interdisciplinary perspectives and foster constructive interactions between academia and industry.
He acknowledged the growth and evolution of the DAI-DAY event, expressing gratitude for the efforts of the executive team, scientific committee, and the support of DATIN Company. He noted that this event serves as a platform for knowledge exchange and collaboration among researchers and industry professionals from diverse fields, including engineering, experimental sciences, medicine, and the humanities.
The Executive Secretary of the Second Artificial Intelligence and Data Mining Day emphasized the importance of networking among specialists in AI and data mining, stating that the event plays a pivotal role in shaping a new generation of interdisciplinary experts.
As the event continued, invited speakers, including distinguished university professors and industry professionals, shared their experiences and insights.
Dr. Masoud Mahoutchi, Dean of the Faculty of Industrial Engineering and Management Systems at Amirkabir University of Technology, emphasized the necessity of interdisciplinary research in artificial intelligence. He stated that the integration of AI and reinforcement learning with simulation and optimization must be considered in various applications.
Dr. Hossein Zeinali, faculty member at the Faculty of Computer Engineering at Amirkabir University of Technology, discussed various natural language processing techniques and voice analysis. He also provided practical recommendations for using hybrid models in these fields.
Dr. Hadi Zare, Dean of the Faculty of Intelligent Systems at the University of Tehran, addressed the applications of artificial intelligence in social networks and the expansion of graph neural networks in practical applications, including transportation and insurance.
Following this, Dr. Mohammad Sharifi, Director of Industry Relations at Amirkabir University of Technology, emphasized the localization of AI methods to meet industry needs and presented the latest advancements in AI applications in the oil industry.
This renowned researcher and professor of petroleum engineering highlighted the lack of adequate datasets as one of the key challenges facing AI projects in the oil sector. He expressed strong support for forming interdisciplinary research groups to tackle industry-specific AI projects.
Dr. Ali Mohaddes Khorasani, a veteran faculty member of the Faculty of Mathematics and Computer Science at Amirkabir University of Technology, spoke about the role of AI in solving real-world problems. He shared insights from leading global computer science experts and stressed the importance of balancing attention to detail with AI product quality.
He further emphasized that a specialized approach to AI and a thorough examination of its applications across various fields are essential aspects of this science that must be addressed.
Dr. Mehdi Ghatei, Director of the Center for Information Technology, Security, and Smart Systems at Amirkabir University of Technology, participated in the event’s expert panel discussion. He highlighted that the AI ecosystem involving universities, industry, and government faces challenges ranging from realism to unrealistic expectations.
He noted that these three entities often demand practical solutions while simultaneously expecting groundbreaking miracles from one another. This misalignment of expectations frequently leads to misunderstandings and lack of cooperation among academia, industry, and government.
According to Dr. Ghatei, hosting such events can help bridge the gap between academia, industry, and government, fostering more effective collaboration on AI projects.
Additionally, Engineer Mohammad Amin Ghaemi, Technical Director of DATIN’s Qazvin Office, introduced various initiatives by DATIN and its AI-focused school, aimed at developing skilled professionals in the field. He elaborated on employment opportunities and collaboration methods with DATIN.
Throughout the event, experts and leading researchers engaged in discussions on emerging trends, challenges, and opportunities in artificial intelligence, as well as the role of students and researchers in shaping the future of AI. This segment provided a valuable platform for interaction between academia and industry, leading to practical solutions for strengthening scientific and commercial collaborations.
Key recommendations included establishing secure mechanisms for data sharing, focusing on lightweight models for AI learning tasks, and developing integrated hardware-software AI models to enhance efficiency and scalability.
In the scientific section of the event, approximately 100 research teams were nominated to present their findings. Among them, 8 presentations were selected for oral talks, while 18 research projects were chosen as poster presentations.
The research presentations, covering the latest scientific advancements and practical applications of AI and data mining, were met with enthusiastic participation from attendees.
The Second Artificial Intelligence and Data Mining Day (DAI-DAY), organized through months of effort by the Scientific Association and students of the Faculty of Mathematics and Computer Science at Amirkabir University of Technology, received an overwhelming response from researchers, students, technology experts, and interdisciplinary enthusiasts.
The event provided a valuable opportunity for knowledge exchange, presentation of cutting-edge research, and discussions on future trends in AI and data mining, further solidifying its role as a prominent platform for scientific and industrial collaboration.
According to the Public Relations Office of Amirkabir University of Technology, Dr. Dariush Kiani, speaking at the Second Artificial Intelligence and Data Mining Day (DAI-DAY) held at the university, emphasized the importance of universities in developing modern technologies. He stated that advancements in artificial intelligence and data science require a balanced approach and fair resource allocation.
He noted that the expertise and deep knowledge of experienced faculty in mathematics and computer science must be leveraged to properly facilitate the growth of these fields.
Dr. Kiani also described such events as crucial for fostering academic enthusiasm among students and researchers and expressed appreciation for the efforts of the event organizers in creating a platform for knowledge exchange.
He reiterated that artificial intelligence and data mining are among the most essential fields for global progress, emphasizing that these disciplines are fundamentally based on mathematics, computer science, and statistics. He further stated that at the Faculty of Mathematics and Computer Science at Amirkabir University, these connections have been deeply and effectively integrated into academic programs and research.
Following Dr. Kiani’s remarks, Behnam Yousefi Mehr, Executive Secretary of the Second Artificial Intelligence and Data Mining Day, spoke about the importance and objectives of the event, stating that the gathering aims to bridge interdisciplinary perspectives and foster constructive interactions between academia and industry.
He acknowledged the growth and evolution of the DAI-DAY event, expressing gratitude for the efforts of the executive team, scientific committee, and the support of DATIN Company. He noted that this event serves as a platform for knowledge exchange and collaboration among researchers and industry professionals from diverse fields, including engineering, experimental sciences, medicine, and the humanities.
The Executive Secretary of the Second Artificial Intelligence and Data Mining Day emphasized the importance of networking among specialists in AI and data mining, stating that the event plays a pivotal role in shaping a new generation of interdisciplinary experts.
As the event continued, invited speakers, including distinguished university professors and industry professionals, shared their experiences and insights.
Dr. Masoud Mahoutchi, Dean of the Faculty of Industrial Engineering and Management Systems at Amirkabir University of Technology, emphasized the necessity of interdisciplinary research in artificial intelligence. He stated that the integration of AI and reinforcement learning with simulation and optimization must be considered in various applications.
Dr. Hossein Zeinali, faculty member at the Faculty of Computer Engineering at Amirkabir University of Technology, discussed various natural language processing techniques and voice analysis. He also provided practical recommendations for using hybrid models in these fields.
Dr. Hadi Zare, Dean of the Faculty of Intelligent Systems at the University of Tehran, addressed the applications of artificial intelligence in social networks and the expansion of graph neural networks in practical applications, including transportation and insurance.
Following this, Dr. Mohammad Sharifi, Director of Industry Relations at Amirkabir University of Technology, emphasized the localization of AI methods to meet industry needs and presented the latest advancements in AI applications in the oil industry.
This renowned researcher and professor of petroleum engineering highlighted the lack of adequate datasets as one of the key challenges facing AI projects in the oil sector. He expressed strong support for forming interdisciplinary research groups to tackle industry-specific AI projects.
Dr. Ali Mohaddes Khorasani, a veteran faculty member of the Faculty of Mathematics and Computer Science at Amirkabir University of Technology, spoke about the role of AI in solving real-world problems. He shared insights from leading global computer science experts and stressed the importance of balancing attention to detail with AI product quality.
He further emphasized that a specialized approach to AI and a thorough examination of its applications across various fields are essential aspects of this science that must be addressed.
Dr. Mehdi Ghatei, Director of the Center for Information Technology, Security, and Smart Systems at Amirkabir University of Technology, participated in the event’s expert panel discussion. He highlighted that the AI ecosystem involving universities, industry, and government faces challenges ranging from realism to unrealistic expectations.
He noted that these three entities often demand practical solutions while simultaneously expecting groundbreaking miracles from one another. This misalignment of expectations frequently leads to misunderstandings and lack of cooperation among academia, industry, and government.
According to Dr. Ghatei, hosting such events can help bridge the gap between academia, industry, and government, fostering more effective collaboration on AI projects.
Additionally, Engineer Mohammad Amin Ghaemi, Technical Director of DATIN’s Qazvin Office, introduced various initiatives by DATIN and its AI-focused school, aimed at developing skilled professionals in the field. He elaborated on employment opportunities and collaboration methods with DATIN.
Throughout the event, experts and leading researchers engaged in discussions on emerging trends, challenges, and opportunities in artificial intelligence, as well as the role of students and researchers in shaping the future of AI. This segment provided a valuable platform for interaction between academia and industry, leading to practical solutions for strengthening scientific and commercial collaborations.
Key recommendations included establishing secure mechanisms for data sharing, focusing on lightweight models for AI learning tasks, and developing integrated hardware-software AI models to enhance efficiency and scalability.
In the scientific section of the event, approximately 100 research teams were nominated to present their findings. Among them, 8 presentations were selected for oral talks, while 18 research projects were chosen as poster presentations.
The research presentations, covering the latest scientific advancements and practical applications of AI and data mining, were met with enthusiastic participation from attendees.
The Second Artificial Intelligence and Data Mining Day (DAI-DAY), organized through months of effort by the Scientific Association and students of the Faculty of Mathematics and Computer Science at Amirkabir University of Technology, received an overwhelming response from researchers, students, technology experts, and interdisciplinary enthusiasts.
The event provided a valuable opportunity for knowledge exchange, presentation of cutting-edge research, and discussions on future trends in AI and data mining, further solidifying its role as a prominent platform for scientific and industrial collaboration.
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