Dr. Diptee Chikmurge

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NAME : Dr. Diptee Someshwar Ghusse
DESIGNATION : Senior Assistant Professor and HoD, CSE-AIML
QUALIFICATION : B.E., M.Tech., Ph.D.

  • Ph.D. (Computer Science and Engineering), VIT Bhopal University, Bhopal, 2024
  • M.Tech. (Computer Science and Engineering), P.D.A. Gulbarga, 2011
  • B.E. (Computer Science and Engineering), M.B.E.S. Ambajogai, 2004

OVERVIEW OF PROFILE :

Dr. Diptee Someshwar Ghusse (Chikmurge) is a Senior Assistant Professor and Head of the Department (CSE-AIML) at MIT Academy of Engineering, Pune, with over 17 years of teaching experience. She holds an M.Tech. and Ph.D. in Computer Science and Engineering from VIT University, Bhopal. Her research expertise spans Machine Learning, Deep Learning, Computer Vision, Quantum Neural Networks, and Soft Computing.

She has published research in 2 SCI-indexed journals, 4 Scopus-indexed journals, and 28 international conferences. She is a professional member of IEEE and IAENG. Dr. Ghusse has guided multiple industry-sponsored projects with leading organizations such as Bharat Soft, Novious, and Etherwise, focusing on real-time Artificial Intelligence applications and deep learning innovations.

As a Visiting Professor at the University of Maria Auxiliadora, Lima, Peru, she conducted international training on integrating Generative AI into teaching-learning processes. She was also recognized with the “Best Teacher Award” (2016) for her outstanding academic contributions.

At MITAOE, Dr. Ghusse leads the CSE-AIML department, mentors AI-based industry projects, and coordinates the Center of Excellence in Artificial Intelligence. She has organized national-level FDPs, conferences, and project competitions, nurturing research and innovation among students.

AREAS OF RESEARCH INTEREST : Computer Vision, Quantum Computing, Artificial Intelligence, Agentic AI and Generative AI.

EMAIL ID : diptee.chikmurge@mitaoe.ac.in, hoadaiml@mitaoe.ac.in
CONTACT NO : College No. with Ext. : 020-30253500 Ext. 1103
EXPERIENCE : Teaching : 17 Years
PROFESSIONAL MEMBERSHIPS : IEEE, IAENG


  • Visiting Professor, University of Maria Auxiliadora (UMA), Lima, Peru – South America, for academic collaboration, faculty training, and integration of Generative AI into teaching-learning processes.
  • Best Teacher Award (2016), recognized for outstanding academic contributions, undergraduate teaching, and student mentorship.
  • Session Chair, IEEE International Conference (2025) organized by Walchand College of Engineering, Sangli, recognizing academic leadership and research expertise.
  • Smart India Hackathon (SIH) 2025 – Winner Mentor, mentoring a student team to national-level success.
  • IUCEE Course Mentor – Generative AI, contributing to faculty capacity building and learner upskilling through international certification programs.
  • Certificate of Appreciation, Ratan Tata Maharashtra State Skills University (2025), for outstanding support and coordination as Single Point of Contact (SPOC) for the Code Without Barriers training program, enabling student proficiency in AI concepts, Azure AI services, ethical and responsible AI practices, Copilot integration, AI Search, and OpenAI-based solutions.
  • Coordinator, Center of Excellence in Artificial Intelligence, leading AI-driven research, innovation, and industry collaboration initiatives.
  • Organizer of National-Level Conferences, Faculty Development Programs (FDPs), and technical events, including Deep Learning FDPs and Technodium 24 & 25 project competitions.
  • Industry Project Mentor, guiding multiple industry-sponsored projects in Artificial Intelligence, healthcare, and computer vision domains.
  • Reviewer for International Conferences, supporting quality research dissemination in Artificial Intelligence and computing.
  • Professional Memberships: IEEE and IAENG.
  • Invited Resource Person, delivering expert talks and hands-on sessions on Machine Learning, Deep Learning, Generative AI, Responsible AI, and AI Ethics.

PUBLICATIONS

A. Journal Articles

  1. Design of an integrated model using deep reinforcement learning and Variational Autoencoders for enhanced quantum security – MethodsX, 2025 – Scopus.
  2. QuantumNet: An enhanced diabetic retinopathy detection model using classical deep learning–quantum transfer learning – MethodsX, 2025 – Scopus.
  3. Design of an iterative predictive carbon-aware resource scheduling method for cloud–fog–edge ecosystems through multi-stage energy and thermal optimizations – International Journal of Applied Mathematics, 2025 – Scopus.
  4. Design of face recognition based effective automated smart attendance system – Indonesian Journal of Electrical Engineering and Computer Science, 2025 – Scopus.
  5. Enhancing Marathi Handwritten Character Recognition Using Ensemble Learning – Traitement du Signal, 2023 – SCI Web of Science.
  6. Enhanced Recognition of Offline Marathi Handwriting via a Self-Additive Attention Mechanism – Traitement du Signal, 2023 – SCI Web of Science.

B. Conference Papers
28 International / IEEE Conference Papers – Scopus Indexed

  1. A Personalized Content Filter for Mental Health Apps Using BiLSTM – ISACC 2025.
  2. Medical Chatbot using Gamma LLMV2 and Comparison Using BERT Models – ISACC 2025.
  3. Comparative Analysis of CNN Architectures for Deep Fake Detection – ISACC 2025.
  4. Improving Potato Disease Classification with CNNs and Feature Fusion – ISACC 2025.
  5. Enhancing Deepfake Detection with Explainable AI – NMITCON 2025.
  6. Smoke and Fire Detection Using YOLOv8 – NMITCON 2025.
  7. Transformer-Based Framework for Interpretable and Scalable Genomic Sequence Alignment – NMITCON 2025.
  8. Enhancing Marine Sustainability Through Vision-Based Marine Debris Detection Using Vision Transformer – I2ITCON 2025.
  9. Age-adaptive lung cancer prediction using ensemble learning methods – ICIICS 2024.
  10. Enhanced Vehicle Detection and License Plate Recognition for Intelligent Transportation Systems – PICET 2024.
  11. Enhancing Dermatological Diagnosis: A Deep Dive for Skin Lesion Classification – NKCon 2024.
  12. Enhancing Image Captioning through the Integration of Image Processing and NLP – ICCUBEA 2024.
  13. Enhancing Phishing Website Detection Using Stacking Ensemble Techniques – ICONAT 2024.
  14. Language Model Embeddings to Improve Performance in Downstream Tasks – CICN 2024.
  15. Predicting Human Body Prakriti with Ayurvedic Tridosha Features using Ensemble Learning Models – IACIS 2024.
  16. A Comprehensive Analysis for Facial Animation using Thin Plate Splines and First Order Model – NMITCON 2024.
  17. Comparing Methods for Detecting and Mitigating Bias in Machine Learning Models – ICAECC 2023.
  18. Enhanced Biased Weights AdaBoost Algorithm for Diabetes Detection on Imbalanced Dataset – ICCCNT 2023.
  19. Enhancing Cardiovascular Disease Prediction Using Ensemble Learning – ICCUBEA 2023.
  20. Fall Detection Using HOG Feature Extraction and Adaptive Boosting Technique – CCPIS 2023.
  21. Forecasting Gold Price using Ensemble-based Machine Learning Approach – ICSES 2023.
  22. Heterogeneous Incremental Ensembled Method for Imbalanced Credit Score – TEECCON 2023.
  23. Predicting Lung Cancer using XGBoost and other Ensemble Learning Models – ICCCNT 2023.
  24. Prediction of Crop Yield with Feature Dimension Reduction using Regression Models – ICCUBEA 2023.
  25. Sketch Captioning Using LSTM and BiLSTM – NMITCON 2023.
  26. Automated Employee Attendance Monitoring Using Liveness Face Recognition and Geofencing – ICAECC 2023.
  27. Fake News Detection Using Ensemble Approach – ICAECC 2023.
  28. A Comparative Study of Handwritten Devanagari Script Character Recognition Techniques – AIC 2022.
  29. Marathi Handwritten Character Recognition using SVM and KNN Classifier – AISC 2021.
  30. Feature Extraction of DICOM Images using Canny Edge Detection Algorithm – AISC 2018.

C. Book Chapters

  1. Emotion Detection Using Deep Fusion Model – In Adaptation, Learning and Optimization, Springer, 2023 – Scopus.