Dr. Ajitkumar Meshram Pundge

About

Dr. Ajitkumar M. Pundge is an Associate Professor in Computer Science and Engineering at Ajeenkya D. Y. Patil University, Pune, India, with over 18 years of academic and research experience. His work lies at the intersection of Artificial Intelligence, Natural Language Processing, Speech Processing, and Human–Computer Interaction, with a focus on designing intelligent and efficient systems for real-world applications.

His current research emphasizes machine intelligence–driven speech emotion recognition for lightweight and edge-based devices, aiming to enable scalable and accessible AI solutions. He is also engaged in research on intelligent question answering systems, sentiment analysis, and multimodal human–machine interaction.

Dr. Pundge has authored more than 29 peer-reviewed publications in international journals and conferences, including IEEE and Springer, and holds three patents in emerging AI technologies. He actively contributes to interdisciplinary research, academic leadership, and curriculum innovation, with a focus on advancing impactful, application-oriented computing research at a global level.

Employment

• Ajeenkya D Y Patil University Associate Professor
  2024 - Present
• MGM University Assistant Professor
  2009 - 2023
• Woxsen university
• Brainware University Associate Professor

Education

• Dr. Babasaheb Ambedkar Marathwada University PhD
  2017 - 2021

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• Exploring Hand Gesture Recognition: Trends, Technologies, and Application
  International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) 2025 DOI: 10.1109/IDCIOT64235.2025.10914713
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• Non-proliferative diabetic retinopathy detection using Rosmarus Quagga optimized explainable generative meta learning based deep convolutional neural network model
  International Ophthalmology 2025 DOI: 10.1007/s10792-025-03528-z
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• An Analysis of Recent Developments in Healthcare Technology from the Standpoints of Artificial Intelligence, the Internet of Things, and Remote Health Monitoring
  PROCEEDINGS OF THE CONFERENCE ON INFORMATION TECHNOLOGIES IN SCIENCE, MANAGEMENT, SOCIAL SPHERE AND MEDICINE (ITSMSSM) 2023 DOI: 10.2991/978-94-6463-136-4_45
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• Conceptual dependency to extract the important event from story to enchaned summarization
  International Journal of Scientific and Technology Research 2020
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• Scientific chart data extraction and question answer generation
  Journal of Advanced Research in Dynamical and Control Systems 2020 DOI: 10.5373/JARDCS/V12SP5/20201730
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• Evaluating Reasoning in Factoid based Question Answering System by Using Machine Learning Approach
  Proceedings of the 3rd International Conference on Communication and Electronics Systems, ICCES 2018 2018 DOI: 10.1109/CESYS.2018.8724085
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• Evaluating Reasoning in Factoid based Question Answering System by Using Machine Learning Approach
  PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMMUNICATION AND ELECTRONICS SYSTEMS (ICCES) 2018
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• Text mining for proper identification of noun using Conceptual Dependency
  Proceedings of the International Conference on Smart Systems and Inventive Technology, ICSSIT 2018 2018 DOI: 10.1109/ICSSIT.2018.8748682
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• Text mining for proper identification of noun using Conceptual Dependency
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• Study of Computational Linguistic Essential for E-learning
  National Workshop on Methodology on education research organized by department of education
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