Awards and Achievements

No specific awards or achievements were provided in the supplied faculty profile.

Patents

1. Mobile Application System for Image-Based Cervical Cancer Diagnosis
   Publication Date: 10/01/2025
2. ML-Driven Anomaly Detection System for Enhancing Enterprise Network Security and Preventing Cyber Threats
   Publication Date: 17/10/2025

Research Areas

Deep Learning, Machine Learning, and Programming.

International Journal Publications

1. Gandharva Thite, Laxmi Bewoor, Kalyani Kadam, Rahul Joshi, and Manisha Rajendra Dhage (2026). "Adaptive_Classifier: A Novel Approach for KNN Parameterization." International Journal of Computer Information Systems and Industrial Management Applications, 18(2s), 564–572. DOI
2. Gagandeep Kaur, Shital Pawar, Rutuja Rajendra Patil, Amol Vijay Patil, Anuradha V. Yenkikar, Nikita Bhandari, and Kalyani Dhananjay Kadam. "Comparative Analysis of Haar Cascade, OpenCV, and You Only Look Once Algorithms for Vehicle Detection." Bulletin of Electrical Engineering and Informatics, 14(6), 4758–4768.
3. Jambi Ratna Raja Kumar, Laxmi Bewoor, Kalyani Kadam, Sunil M. Sangve, and Mayuri B. Satpute (2025). "Hierarchical Taxonomy-Aware Modeling for Granular Drug Resistance and Disease Outcome Prediction in Multimodal Tuberculosis Cohorts." Indian Journal of Tuberculosis, 72, Supplement 3, S145–S150. DOI
4. Karan Salunkhe, Sudhanshu Gonge, Gaurang Maheshwari, and Kalyani Kadam (2025). "Leveraging Economic Factors for Volume Forecasting in Manufacturing Industries." International Journal of Engineering Trends and Technology, Volume 73, Issue 9. DOI
5. Pokkuluri, Kiran Sree, Rishabh Bhardwaj, M. P. Sunil, Kalyani Kadam, Abhinav Mishra, and Geetika M. Patel (2025). "Smart Monitoring of Livestock Health and Behavior with Sensor-Based Deep Learning Optimized System." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 16(3), 219–240. DOI
6. Sable, Nilesh, Parikshit Mahalle, Kalyani Kadam, Bipin Sule, Rahul Joshi, and Mahendra Deore (2025). "Deep Learning-Based Approach for Monitoring and Controlling Fake Reviews." Journal of Computational and Cognitive Engineering, 4(3), 377–386.
7. Narwadkar, S., P. S. Mehta, R. R. Patil, K. Kadam, and V. Bidve (2025). "Unveiling Precision: Eye Cancer Detection Redefined with Particle Swarm Optimization and Genetic Algorithms." International Journal of Artificial Intelligence, 14(2), 1087.
8. Gayakwad, Milind, Gajanan Bhole, Priyanka Paygude, P. R. Devale, Anand Shinde, Kalyani Kadam, and Rahul Joshi (2024). "AI Yoga Trainer Using Human Pose Estimation for Web Discovery." Journal of Electrical Systems, 20, 409–417. DOI
9. Id ate, Sonali, T. Rao, Milind Gayakwad, Priyanka Paygude, Prashant Chavan, Rajendra Pawar, and Kalyani Kadam (2024). "Performance Analysis of Machine Learning Algorithms to Classify Software Requirements." Journal of Electrical Systems, 20, 1588–1599. DOI
10. B. J. Dange, Kaustubh Manikrao Gaikwad, H. E. Khodke, Santosh Gore, S. N. Gunjal, Kalyani Kadam, and Sayali Karmode (2024). "Machine Learning for Quantum Computing: Bridging the Gap Between AI and Quantum Algorithms." International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 600–605. View Publication
11. K. Kadam, R. Kadam, P. Bagane, A. Sourabh, S. Jha, S. Nagrale, and S. Pandey (2024). "Sentiment Sounds: Orchestrating Emotions with Machine Learning for Personalized Song Recommendations." International Journal of Intelligent Systems and Applications in Engineering, 12(13s), 239–245. View Publication
12. S. D. Pande, S. Rathod, R. Joshi, G. T. Chavan, D. Jadhav, P. Phutane, and others (2022). "Fake News Identification Using Regression Analysis and Web Scraping." International Journal of Sustainable Development and Planning, 12(3), 311–318.
13. K. D. Kadam, S. Ahirrao, and K. Kotecha (2022). "Efficient Approach Towards Detection and Identification of Copy Move and Image Splicing Forgeries Using Mask R-CNN with MobileNet V1." Computational Intelligence and Neuroscience.
14. M. Gayakwad, S. Patil, A. Kadam, S. Joshi, K. Kotecha, R. Joshi, S. Pandya, S. Gonge, S. Rathod, K. Kadam, and M. Shelke (2022). "Credibility Analysis of User-Designed Content Using Machine Learning Techniques." Applied System Innovation, 5(2), 43. DOI
15. K. Kadam, S. Ahirrao, H. Kaur, S. Phansalkar, and A. Pawar (2019). "Deep Learning Approach for Prediction of Pneumonia." International Journal of Scientific & Technology Research, 8(10).

The supplied profile includes additional journal publications from 2013 to 2022. The complete list of 30 journal publications is available in the original faculty profile document.

Books and Book Chapters

1. Kalyani Kadam, Pooja Kamat, and Amita Malav (2018). "Cardiovascular Disease Prediction Using Data Mining Techniques: A Proposed Framework Using Big Data Approach." In Handbook of Advanced Metaheuristic Methods in Big Data Retrieval and Analytics. IGI Global.
2. T. Dalvi, M. Patley, V. Bhatt, K. Kadam, S. Gite, and B. Pradhan (2026). "Pneumonia Detection Using Chest X-Rays: A Comparative Study of CNN Architectures and Explainable AI Techniques." In Advancements in IoT Sensors and Security. Springer, Cham. DOI
3. Deven Dhake, Gaurav Prakash, Rohan Ingle, Ashish Nain, Kalyani Kadam, Shilpa Gite, Preksha Pareek, and Biswajeet Pradhan (2026). "Enhanced Traffic Safety by Road Anomaly Detection Using YOLOv8 and Machine Learning Models." In Advancements in IoT Sensors and Security. Springer, Cham. DOI
4. Kalyani Kadam, Rahul Joshi, Jambi Ratna Raja Kumar, and Kishor Renukadasrao Pathak. "Enhancing Heart Failure Survivability Prediction: A Machine Learning Approach Using SMOTE and a DECORATE Ensemble of a C4.5 Decision Tree." In Intelligent Computing and Analytics in Image Processing, 231–251. Apple Academic Press, 2027.

International Conference Publications

1. S. Hudnurkar, A. S. Rajeevan, S. Choudhary, P. D. Mukherjee, H. K. Jaiswal, and K. Kadam (2023). "Forecasting of Cryptocurrency and Stock Prices Using Machine Learning." 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), IEEE.
2. Y. Waykole, Y. Kanathey, V. Goel, A. Bongale, P. Kadam, and K. Kadam (2023). "Automated Scene Recognition for Environmental Monitoring: A Cluster Analysis Approach Using Intel Image Classification Dataset." International Conference on Artificial Intelligence: Towards Sustainable Intelligence, 59–73. Springer Nature.
3. S. Gonge, R. Joshi, K. Kotecha, M. Gayakwad, R. Gangarde, G. Kaur, and K. Kadam (2023). "A Comparative Study of DWT and DCT Along with AES Techniques for Safe Transmission of Digital Bank Cheque Images." International Conference on Computing Science, Communication and Security, 70–86. Springer Nature.
4. Pooja Kamat, Kalyani Kadam, and Anuj Mathur. "Predicting the Impact of the GDP Measure on Forest Cover Using Forecasting and Regression." IEEE.

National Conference Publications

No national conference publication details were provided in the supplied profile.

Research Profile Links

• Google Scholar Profile
• Scopus Profile
• ORCID Profile