Dr Pooja Agarwal

About

Professor in the Department of Computer Science and Engineering at PES University. Over 20 years of experience in teaching, research, and academic leadership, I specialize in Machine Learning, Artificial Intelligence, NLP, Data Science and coordinating the MTech program in "Data Science and Machine Learning" (offered in collaboration with Great Learning). With 50+ publications in reputed international journals and conferences, I am currently guiding two Ph.D. scholars. I have mentored several industry-linked student projects. My strengths lie in research mentorship, academic innovation, and fostering strong collaborative relationships.

Employment

• PES University Associate Professor
  2011 - 2023
• PES School of Engineering South Campus Assistant Professor
  2008 - 2011
• The Oxford College of Engineering Assistant Professor
  2007 - 2008
• The Oxford College of Engineering Senior Lecturer
  2004 - 2007
• ABES Engineering College Lecturer
  2002 - 2003

Education

• Visvesvaraya Technological University Ph.D
  2018 - Present
• Banasthali Vidyapith Faculty of Humanities MTech
  2001 - Present
• Banasthali University Faculty of Education M.Sc.(Theoretical Computer Science)
  2000 - Present
• Chaudhary Charan Singh University Bachelor of Science
  1998 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (45)

• LLMHC: From “BERT to GPT-3”: Relative viewpoints on Large Language Models (LLM) in psychological well-being expectations
  Data Science & Exploration in Artificial Intelligence 2025 DOI: 10.1201/9781003589273-20
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• Diagnosis and Classification of Skin Cancer Using Generative Artificial Intelligence (Gen <scp>AI</scp> )
  Generative Artificial Intelligence for Biomedical and Smart Health Informatics 2025 DOI: 10.1002/9781394280735.ch28
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• “AI‐Powered Mental Health Innovations”
  Artificial Intelligence and Machine Learning for Industry 4.0 2025 DOI: 10.1002/9781394275076.ch3
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• Vidgen: Long-Form Text-to-Video Generation with Temporal, Narrative and Visual Consistency for High Quality Story-Visualisation Tasks
  2024 IEEE 9th International Conference for Convergence in Technology (I2CT) 2024 DOI: 10.1109/i2ct61223.2024.10544050
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• GAN-Based Image Restoration and Colorization
  Lecture Notes in Electrical Engineering 2024 DOI: 10.1007/978-981-99-7633-1_40
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• Enhancing Yoga Posture Recognition with Deep Learning: A Customized Activation Function Approach
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-981-97-6581-2_12
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• An Empirical Study on Privacy-Preserving Swarm Learning for Cataract Detection
  Mechanisms and Machine Science 2024 DOI: 10.1007/978-3-031-44947-5_1
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• Fostering Resilience: Machine Learning Models for Student Stress Prediction in Education
  2024 IEEE 9th International Conference for Convergence in Technology (I2CT) 2024 DOI: 10.1109/i2ct61223.2024.10543492
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• Call Translator with Voice Cloning Using Transformers
  2024 IEEE 9th International Conference for Convergence in Technology (I2CT) 2024 DOI: 10.1109/i2ct61223.2024.10543304
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• Revitalising Ocean Ecosystems: A Comprehensive Approach to Sustainable Underwater Trash Analysis Using AUVs,Image Enhancement,YOLO Detection,and Material Circularity Index
  Proceedings of the 2024 9th International Conference on Multimedia and Image Processing 2024 DOI: 10.1145/3665026.3665034
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