Dr. Chhaya Dhavale (Narvekar)

Assistant Professor,

School of Technology Management & Engineering

 Professional Summary

• Drawing on 25 years of teaching and research, I combine technical mastery in AI and Optimization with strong leadership and mentorship abilities. As Head of Department, I organized skill-building workshops and STTPs, using strategic planning and effective communication to align academic goals with industry needs. My ability to simplify complex concepts has enabled me to deliver impactful guest lectures across institutions, fostering an environment where technical innovation meets collaborative problem-solving.
• Successfully conducted the International Conference on Advanced Trends in Engineering and Science (ICATES 2025) in collaboration with The Institution of Engineering and Technology (IET) 4^th -5^th October 2025.
• Presented research at IGARSS 2024 in Athens, Greece, supported by a prestigious IEEE travel grant of ₹142,500/- for IGARSS 2024.
• Active professional with roles as session chair, reviewer for international conferences, and jury member for prestigious competitions.
• Lifelong learner with certifications from NPTEL and IIT platforms, continually upgrading technical expertise.
• Artificial Intelligence researcher and academician with expertise in designing modelling and mentoring knowledge driven architectures for analysis of heterogeneous datasets.
• Conducted value added courses for students.
• Update skill through various workshops, NPTEL/IIT certification courses.

 

Key Skills: Data Wrangling, Artificial Intelligence, Machine Learning, Deep Learning, Multi-objective Optimization, Genetic Algorithms, Data Science, Academic Leadership, Curriculum Development, Research Guidance.

 

Professional Memberships: Fellow of IETE, Member of ISTE.

Experience

Total teaching experience: 25 year

• Assistant Professor NMIMS, Kharghar
• Joined as Assistant Professor in Xavier Institute of Engineering, IT department, Mumbai University from July 2010 to December 2025. (July 2013 promoted as associate professor)
• Worked as Sr. Lecturer in Pillai Institute of Information Technology, Information Technology Department, Mumbai University from August 2007 to 2010.
• Worked as Lecturer in Pillai Institute of Information Technology, Information Technology Department, Mumbai University from August 2003 to 2007.

 

Key Research Interests

• Artificial Intelligence, Machine Learning: Regression, Supervised and unsupervised learning, classification and clustering algorithms such as support vector machine, Gaussian mixture model.
• Evolutionary algorithm and Multi-Objective Optimization: Genetic algorithm, Bio-inspired algorithm, ant colony optimization, particle swarm optimization. Multi-optimization optimizations, Pareto optimization. Adaptability and multi-objective optimization.

 

Education

1. Ph.D. Completed (2024) University of Mumbai, Mumbai, "Productivity Improvement in Agriculture using Deep Learning”
2. M.E Computer Engineering (2008) University of Mumbai, Mumbai, Maharashtra, India.
3. B.Tech Information Technology (2001) Institute of technology for Women, S.N.D.T.University Juhu, Mumbai, India

 

Professional Activities

Research Work Presentation conferences :

Automated slum classification using deep convolutional neural networks and K-means clustering: a comprehensive Mumbai metropolitan region analysis,4-5 October 2025(ICATES2025), IET conference proceedings, https://doi.org/10.1049/icp.2025.4694

• Using Reinforcement Learning to Optimize Workforce Distribution in Agile Management” in 1st International Conference on Frontier Technologies and Solutions (ICFTS-2025), March, 2025.
• Blockchain Integration in Crowdfunding: A Smart Contract-Based Approach to Fundraising” in Seventh International Conference on Computational Intelligence and Communication Technologies (CCICT 2025), April 2025.
• Predictive Analytics for Enhancing Crop Yield using Generative Adversarial Networks and its Challenges," 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), Goa, India, 2024, pp. 1-4, doi: 10.1109/InGARSS61818.2024.10984042
• Revolutionizing farming: Gan-enhanced imaging, cnn disease detection, and llm farmer assistant. In 2024 2nd International Conference on Computer, Communication and Control (IC4) (pp. 1-6). IEEE.
• Enhancing Spatiotemporal Data Harmonization Through Semantic Enrichment Using SciBERT LLM for Soil Analytic. In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 6871-6874). IEEE.
• Predictive Analytics for Enhancing Crop Yield using Generative Adversarial Networks and its Challenges. In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS) (pp. 1-4). IEEE.
• Spatio-Temporal Data Harmonization Using Knowledge Graph for Soil Health Management." IGARSS 2023-IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023.
• Fruit and Vegetable Grading with Transfer Learning and Convolutional Neural Networks for Better Productivity. In 2023 International Conference on Advanced Computing Technologies and Applications (ICACTA) (pp. 1-5). IEEE.
• Assessment of village-wise soil nutrients and their effect on Sugarcane productivity in Western Maharashtra, India, Journal of Engineering Research and Sciences, 1(10): 19-25, 2022, Special Issue on Multidisciplinary Sciences and Advanced Technology.
• Presented paper in "CIEMA22” on Agricultural Productivity Improvement –Role of AI and yield prediction using Machine Learning, on 25^th March 2022-26^th March 2022.
• Flower classification using CNN and transfer learning in CNN- Agriculture Perspective. https://ieeexplore.ieee.org/document/9316030
• Fairness Assessment of Question Paper using Artificial Intelligent Techniques, "Fairness Assessment of Question Paper using Artificial Intelligent Techniques," 2020 IEEE Bombay Section Signature Conference (IBSSC), Mumbai, India, 2020, pp. 152-157, doi: 10.1109/IBSSC51096.2020.9332222

 

Invited Guest Lectures and Workshop:

• Conducted Internship program for one Month on Python and QGIS and GEE from 1July 2025- 29th July 2025.
• The faculty exchange program- Conducted a three-day course on "Fortifying the Future: Cyber Security Foundations the Shifting Digital Threat Landscape,” from 17 th July 2025-19th July 2025 at Andhra Loyola Institute of Engineering and Technology (ALIET), Vijayawada, Andhra Pradesh.
• Delivered session in FDP on " Future trends in Responsible AI” on 7th July 2025.
• Conducted Value added Course for TEIT students on "Aptitude and Soft Skill training” during Jan 2025 to April 2025
• Conducted FDP on AI tools for Academia on 18th Jan 2025.
• Delivered session in FDP on "Generative AI –Language Models ” on 6^th Juny 2023 in Xavier Institute of Technology.
• Delivered hands on session in FDP on "Machine learning -Decision tree algorithm” on 23^rd June 2021 in Xavier Institute of Technology.
• Delivered lectures on Data structures using python for Value added course by EXTC department in Xavier Institute of Engineering for AY2020-21.
• Delivered lectures on Data structures using python for Value added course by EXTC department in Xavier Institute of Engineering for AY2021-22.
• Conducted value added course for IT students on Image Processing using Python & OpenCV, AY-2021-22.

• Professional Service:
• Invited panelist for the panel discussion – Women Leading the Way 2026, by IET Mumbai Local Network on 27^th June 2026.
• Worked as Evaluator for Prakalp-3.0, School of Engineering Pillai University on 14^th March 2026.
• Worked as Jury for IET India scholarship Award West Zone 2024 on 2^nd August 2025.
• Worked as Jury for IET India scholarship Award West Zone 2024 on 4^th August 2024.
• Worked as Jury for IET India scholarship Award West Zone 2023 on 12^th August 2023.
• Reviewer of CTFC2023 (3nd International Conference on Automation, Computing and Communication)
• Reviewer of ICNTE-2022 (International Conference on Nascent Technologies in Engineering,).
• Reviewer of CTFC2021 (2nd International Conference on Automation, Computing and Communication)
• Reviewer of ICNTE-2015 (International Conference on Nascent Technologies in Engineering,).
• Session chair – ICNTE2015 on 10^th January 2015.
• Convener and committee member for syllabus revision committee in the university for the subject Image Processing

Professional Membership:

• Life time – Fellow member of IETE- F-502037.
• Life member of ISTE- LM45148

 

Research Publication

Publish Research

Book Chapters:

1. Leveraging big data analytics and conversational AI for agriculture." In Big Data Computing, pp. 180-195. CRC Press, 2024.
2. Exploring Opportunities of Generative Artificial Intelligence for Sustainable Soil Analytics in Agriculture. In Sustainable Development and Geospatial Technology: Volume 2: Applications and Future Directions (pp. 23-43). Cham: Springer Nature Switzerland, 2024.
3. Book Chapter for Data Science with Semantic Technologies: Deployment and Exploration by Wiley publication titled "Semantic Interoperability Framework and its Application in Agriculture”(2023).
4. Semantic Interoperability Framework and its Application in Agriculture. In Data Science with Semantic Technologies (pp. 131-156). CRC Press.
5. Ontological Perspective in Cancer Care System. In Data Science with Semantic Technologies (pp. 247-265). CRC Press.
6. Ontology and Knowledge Graphs for Semantic Analysis in Natural Language.

   Graph Learning and Network Science for Natural Language Processing, 105.

7. Role of Multi-objective Optimization in Image Segmentation and Classification.

   Computational Intelligence in Image and Video Processing, 317-340.

8. Graph learning and network science for Natural Language Processing by CRC press publications titled 'Graph Embeddings for Natural Language Multi-objective optimization.
9. Book Chapter for book Natural Language Processing For Geospatial Analytics: A Review And Future Trends by CRC press publications titled Advances in Scalable and Geospatial Analytics: New Trends, Challenges and Applications.

 

Research Publication along with students

Publish Research

1. Bhattad, S., Sunnymon, S., Vaz, D., & Dhavale, C. (2023). Review of Machine Learning Techniques for Cryptocurrency Price Prediction (No. 10190). EasyChair.
2. Gawade, S., Sawant, R., Rathod, A., & Dhavale, C. Psychological Analysis Using Social Media Data.
3. Kalwar, A., Mathur, R., Chavan, S., Narvekar, C. (2022). Forest Cover Change Detection Using Satellite Images. In: Khanna, K., Estrela, V.V., Rodrigues, J.J.P.C. (eds) Cyber Security and Digital Forensics . Lecture Notes on Data Engineering and Communications Technologies, vol 73. Springer, Singapore. https://doi.org/10.1007/978-981-16-3961-6_46
4. Deshmukh, S., Karkera, S., Rawale, P., Narvekar, C. (2022). Evaluation and Transformation Analysis of the Mithi River. In: Khanna, K., Estrela, V.V., Rodrigues, J.J.P.C. (eds) Cyber Security and Digital Forensics . Lecture Notes on Data Engineering and Communications Technologies, vol 73. Springer, Singapore. https://doi.org/10.1007/978-981-16-3961-6_41
5. Shinde, S., Saraiya, T., & Jain, J. Using CRNN to Perform OCR over Forms.
6. Shinde, S., Saraiya, T., Jain, J., & Narvekar, C. (2019). Automatic Data Collection from Forms using Optical Character Recognition. Int ernat ional Research Journal of Engineering and Technology (IRJET), 6(10).
7. Narvekar, C., Yadav, S., Rane, S., & Patwa, A. (2019). Sign Board Recognition and Driver Alert System Using Machine Learning. Recent Trends in Information Technology and its Application, 2(1).
8. Yadav, S., Patwa, A., Rane, S., & Narvekar, C. (2019). Indian traffic signboard recognition and driver alert system using machine learning. International Journal of Applied Sciences and Smart Technologies, 1(1), 1-10.
9. Shetty, Priyanka, Aditya Kotian, Dhanashree Narsale, and Chhaya Narvekar. "Pantomath: College Inquiry Chatbot."
10. Application of Genetic Algorithm in Data Mining", National Conference on Data Warehousing and mining, , , 7-8 January 2011.

 

Journal Publication

1. "Blockchain Solution for Patient Record Security”, South Eastern European Journal of Public Health (SEEJPH), ISSN: 2197-5248, Vol: XXV 2024, Oct-2024, pp. 1647-1653

   URL: https://www.seejph.com/index.php/seejph/article/view/2627/1740

2. C. Narvekar, M. Rao "Assessment of Village-wise Soil Nutrients and their Effect on Sugarcane Productivity in Western Maharashtra, India", Journal of Engineering Research and Sciences, vol. 1, no. 10, pp. 19-25 (2022).
3. Narvekar, C. G., & Rao, M. (2022). Sugarcane Production Modeling Using Machine Learning in Western Maharashtra. International Journal of Applied Sciences and Smart Technologies, 4(2), 123-130.
4. "Deep learning enabled crop disease recognition using leaf images for improving productivity”, Int. J. of Computational Vision and Robotics,(IJCVR- SCOPUS) accepted.

 

MOOCs successfully completed:

• NPTEL course on "Cryptography and Network Security” on Jan- April 2018
• NPTEL course on "Python for Data Science” on Jul- September 2021
• NPTEL course on "Deep Learning” on Jul- Dec 2023
• NPTEL course on "Design Thinking ” on Jan- March 2023
• NPTEL "Yoga and Positive Psychology for Managing Career and Life ” on Jul 2024 .

 

Recently attended FDP

1. Harnessing Generative AI for Intelligent Systems in Today's Computing World" from 04 Nov, 2024 to 14 Nov, 2024 , NIT Warangal.
2. NGP-DST’ Summer school on geospatial Technologies (Level-1),27 May, 2024 to 16 Jun, 2024,KJ Somaiya Institute of technology.
3. Advanced Methods in Satellite Image Processing, 20 Jan 2020-30th April 2020, CSRE- IIT Bombay.