New Delhi: The Department of Economics, Jamia Millia Islamia (JMI), successfully organized a three-day Faculty Development Programme (FDP) on “Artificial Intelligence (AI) Techniques for Economic Modelling” in hybrid mode from February 23-25, 2025. The three-day FDP proved to be an enriching experience, equipping faculty members with cutting-edge AI techniques applicable to economic modelling and research.
The event commenced with a warm welcome by Prof. Asheref Illiyan, Head of the Department of Economics, JMI and FDP Director. In his opening remarks he highlighted how AI is emerging as a general purpose technology and how the Department of Economics has been ahead of many other Departments/ Centres in adopting new technologies in teaching and research. Prof. Moonis Shakeel, the coordinator of the programme gave a brief introduction of the programme and highlighted the significance of AI and machine learning in academic research and economic modelling.
Dr. Sarfaraz Masood, Associate Professor, Department of Computer Engineering, JMI, delivered the inaugural address, setting the stage for an insightful learning experience. He then conducted a session on Artificial Neural Networks (ANN) and Generative Adversarial Networks (GAN) and their applications in economic modelling.
The next session was led by Prof. Moonis Shakeel, who provided an introduction to machine learning and Python programming. The final session of the day was conducted by Dr. Zakaria Siddiqui, Associate Professor, Department of Economics, JMI, who introduced participants to R programming, equipping them with fundamental coding skills for AI-driven economic analysis.
The second day started with a session by Dr. Geetika Vashista from the Department of Computer Science, University of Delhi, who delved into Classification Techniques such as k- Nearest Neighbours (kNN), Logistic Regression, Discriminant Analysis, and Support Vector Machines (SVM).
The next session was conducted by Dr. Mohd Zeeshan Ansari, Assistant Professor in the Department of Computer Engineering, JMI, who covered Regression Techniques, including kNN, Random Forest, XGBoost, LASSO, Ridge Regression, and Elastic Net.
The final day began with Prof. Suriya Jabeen, Department of Computer Science, JMI, leading a session on Classification Techniques, covering Naïve Bayes, Decision Trees, and Neural Networks.
The concluding technical session was delivered by Dr. Neda Fatima from Manav Rachna International Institute of Research and Studies, School of Engineering and Technology, Haryana. She provided a comprehensive lecture on Regression Techniques, both Linear and Non-linear, offering participants practical insights into AI-driven economic analysis.
The FDP concluded on February 25, 2025, with a valedictory address by Prof. Asheref Illiyan, Head of the Department. This was followed by a vote of thanks by Ahmad Raza, research scholar, Department of Economics, JMI, and the distribution of certificates to participants.
More than 65 participants attended the programme in online and offline mode. Dr. Vasim Akram and Dr. Mohmmad Kashif Khan, Assistant Professors, Department of Economics, JMI also graced the sessions.
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