Ph.D.: SRM University, 2025
PG: Computer Science, JNTUA, 2014
UG: CSE, JNTUA, 2011
Teaching Experience: 11 Years
Research Experience: 5 Years
Industry Experience: 1 Year
Contact Number: 8686473970
BVRITN Employee ID: 803
JNTUH Registration ID: 8527-150413-154720
AICTE Registration ID: 1-2646410885
- Image Processing, Computer Vision
- Deep Learning
- Qualified In GATE
- Abdus Subhahan, D. and Vinoth Kumar, C.N.S. Deforestation rate estimation using crossbreed multilayer convolutional neural networks. Multimedia Tools and Applications 83, 79453–79479 (2024).(SCI) doi: https://org/10.1007/s11042-024-19319-0
- Abdus Subhahan, D. and Vinoth Kumar, C.N.S. “Cuckoo Search Optimization-Based Bilateral Filter for Multiplicative Noise Reduction in Satellite Images,” SAE International Journal of Connected and Automated Vehicles 7(1):43-52, 2024(SCOPUS) doi: https://org/10.4271/12-07-01-0004
- Abdus Subhahan, D. and Vinoth Kumar, C.N.S. ‘Classifying Drivers of Deforestation by Using the Deep Learning Based Poly-highway Forest Convolution Network’.Journal of Intelligent and Fuzzy Systems 1 Jan. 2023 : 1 – 15.(SCI)
- Nagarajan, S., Rani, P. S., Vinmathi, M. S., Subba Reddy, V., Saleth, A. L. M., & Abdus Subhahan, D. (2025). Multi agent deep reinforcement learning for resource allocation in container‐based clouds environments. Expert Systems, 42(1), e13362.
- A. Subhahan, A. Abhigna, C. Sreeja, A. Mahesh, A. P. Varma and, “Vacant Parking Slot Availability Detection Using Yolov8 and OpenCV – Integration with payment functionalities,” 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT), Kollam, India, 2024, pp. 1433-1438, doi: 10.1109/ICCPCT61902.2024.10673390.
- Abdus Subhahan N. Shirisha, D. B. V. Jagannadham, P. Parshapu, S. M. Rao Singu, V. S. Kumari and, “Hand Talk: Sign Language to Text Converter using CNN,” 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, 2024, pp. 1654-1659, doi: 10.1109/I-SMAC61858.2024.10714866
- Subhahan P. Akshaya, P. B. Reddy, P. Panuganti, and P. Gurusai, “Automatic weapon detection using Deep Learning,” 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India, 2023, pp. 1-7, doi: 10.1109/RMKMATE59243.2023.10369889.
- A. Subhahan, S. R. Divya, U. K. Sree, T. Kiriti and Y. Sarthik, “An Efficient and Robust ALPR Model Using YOLOv8 and LPRNet,” 2023 International Conference on Recent Advances in Information Technology for Sustainable Development (ICRAIS), Manipal, India, 2023, pp. 260-265, doi: 10.1109/ICRAIS59684.2023.10367051.
- Raman et al., “Penetration of Deep Learning in Human Health Care and Pharmaceutical Industries; the Opportunities and Challenges,” 2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM), Uttar Pradesh, India, 2023, pp. 1-6, doi: 10.1109/ICIPTM57143.2023.10118224.
- D. Jyothi, N. Shirisha, D. A. Subhahan, K. Rashmi and K. Hemanthi, “Prediction of Pneumonia using Hybrid Deep CNN and ML Classifiers,” 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2023, pp. 337-343, doi: 10.1109/ICICCS56967.2023.10142845.
- A. Subhahan and C. N. S. Vinoth Kumar, “A Fuzzy logic Clustering Classification of Satellite Images Using K-Means Clustering,” 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India, 2023, pp. 1-8, doi: 10.1109/ICSES60034.2023.10465362.
- Subhahan, D.A., Vinoth Kumar, C.N.S. (2024). An Edge-Aware Guided Filtering Technique for Multiplicative Noise Reduction in Satellite Images. In: Joshi, A., Mahmud, M., Ragel, R.G., Kartik, S. (eds) ICT: Applications and Social Interfaces. ICTCS 2023. Lecture Notes in Networks and Systems, vol 908. Springer, Singapore. https://doi.org/10.1007/978-981-97-0210-7_18
- Bethu, S., Bhargavi Latha, S., Kumar Kanaparthi, S., Abdus Subhahan, D., Vani, G. (2023). CS-FA Nature Inspired Algorithm-Based Robust Video Watermarking. In: Reddy, A.B., Nagini, S., Balas, V.E., Raju, K.S. (eds) Proceedings of Third International Conference on Advances in Computer Engineering and Communication Systems. Lecture Notes in Networks and Systems, vol 612. Springer, Singapore. https://doi.org/10.1007/978-981-19-9228-5_16
- Chithambarathanu, V. V. Kumar, P. Sreelekha, J. Samson Isaac, M. K. Ghumman and D. A. Subhahan, “An Innovation Development of Light Weight Deep Learning Algorithm for Smart Healthcare Neural Science Management,” 2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), Chennai, India, 2023, pp. 1-7, doi: 10.1109/ICECONF57129.2023.10083638.
- Subhahan, D. A., & Samyuktha, P. L. (2014). Scalable Mobile Presence Cloud with Authentication through PGP. ijarcsse, ISSN, 2277.
- Subhahan, D. A., Naresh, M., Narula, V. N., Roslin, D. K., Narula, S., & Boopathi, S. (2024). Edge Computing and Machine Learning Integration for Autonomous Electrical Vehicles. In Solving Fundamental Challenges of Electric Vehicles (pp. 99–127). IGI Global., DOI: 10.4018/979-8-3693-4314-2.ch005
- Sudheer Babu, CH. M. Reddy, A. Swapna, and D. Abdus Subhahan. (2023). Applications of Machine Learning. In Handbook of Artificial Intelligence (pp. 19–44). DOI: 10.2174/9789815124514123010004.
- Successfully completed the Faculty Development Program (FDP) on the QNX Real-Time Operating System (RTOS) From 21-04-25 to 25-04-25.
- Attended Faculty Development Program (FDP) on Machine Learning organized by SkillDzire in collaboration with AICTE, held from 17th March 2025 to 31st March 2025. The certificate was issued on 31st March 2025, with Certificate ID SDFDP-12994
- From 28-06-2021 to 03-07-2021, attended an FDP on Multi Technology conducted by Dr. Ragendra Gode Institute of Technology.
- From 07-09-2020 to 21-09-2020, Attended an FDP on Data Science and Its Applications in STEM organized by Andhra University .
- From 01-07-2020 to 24-07-2020, participated in an FDP on Data Science conducted by TASK.
- From 11-12-2019 to 15-12-2019, took part in a Workshop on Advanced Deep Learning organized by Bennett University, Noida.
- From 10-02-2020 to 14-02-2020, attended a Faculty Development Program on “Database Design and Programming with SQL” conducted by TASK.
- From 18-05-2020 to 23-05-2020, participated in an FDP on PHP & MySQL organized by JNTU – Jagityal.