- Deep Learning,
- Machine Learning
| Degree | Organization/Institution | Specialization | Year of Passing |
| Ph.D.(pursuing) | SRM University, Chennai | Deep Learning for Healthcare informatics | Pursuing |
| M.Tech | SRKR Engg.College,Bhimavaram | CST | 2012 |
| B.Tech | SVECW,Bhimavaram | CSE | 2010 |
Publications in National/International Conferences:
- K. S. Sharmila, K. N. S. K. Santhosh, A. R. Shaik, P. Gudipudi, G. P. Kumar and K. R. Chandra, “Performance Evaluation of Medical Image Denoising based on Deep Neural Network,” 2024 International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India, 2024, pp. 1-4, doi: 10.1109/ICICACS60521.2024.10498223.
- K. S. Sharmila and K. R. Chandra, “Predicting Adverse Interactions: A Comprehensive Review of AI-Driven Drug-Drug Interaction Models for Enhanced Patient Safety,” 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS), Bengaluru, India, 2024, pp. 1098-1102, doi: 10.1109/ICICNIS64247.2024.10823221.
- Soni Sharmila, K., S. Thanga Revathi, and Pokkuluri Kiran Sree. “A Systematic Review on Drug-to-Drug Interaction Prediction and Cryptographic Mechanism for Secure Drug Discovery Using AI Techniques.” International Journal on Artificial Intelligence Tools 33.08 (2024): 2450003.
- K. S. Sharmila, R.Thriveni and T. M. Priya, “Enhancing Crowd Image Analysis Through Facial Landmark Recognition,” 2024 International Conference on Recent Innovation in Smart and Sustainable Technology (ICRISST), Bengaluru, India, 2024, pp. 1-5, doi: 10.1109/ICRISST59181.2024.10922068.
- K. S. Sharmila, T. R. S and P. K. Sree, “Enhancing Drug-Drug Interaction Prediction: An Unified Similarity-Based Neural Network Approach,” 2023 Global Conference on Information Technologies and Communications (GCITC), Bangalore, India, 2023, pp. 1-5, doi: 10.1109/GCITC60406.2023.10425844.
- K. R. Chandra, B. Supraja, M. Bhargavi, S. B. Ojha, N. P. Tirumani and K. S. Sharmila, “AI-Driven Intelligent Image Processing: a Novel Framework for Real-Time Image Enhancement and Analysis,” 2025 3rd International Conference on Inventive Computing and Informatics (ICICI), Bangalore, India, 2025, pp. 1-6, doi: 10.1109/ICICI65870.2025.11069520.
- S. Nagarajan, G. Nagaraju, K. R. Chandra, K. S. Sharmila, K. N. S. K. Santhosh and K. Vanaja, “Improving Multispectral Image Classification with Convolutional Networks and Hyperspectral Band,” 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS), Gobichettipalayam, India, 2024, pp. 225-230, doi: 10.1109/ICUIS64676.2024.10866647.
- G. S. Babu, G. Asha, K. Sridevi, K. S. Sharmila, P. P and K. R. Chandra, “Advancing Imperceptible Data Hiding: A Novel GAN-Based Framework for Robust and High-Capacity Steganography in Digital Media,” 2024 First International Conference on Innovations in Communications, Electrical and Computer Engineering (ICICEC), Davangere, India, 2024, pp. 1-6, doi: 10.1109/ICICEC62498.2024.10808746.
- T. Balaji, K. S. Sharmila, B. T. Sree, K. Satyanarayana, K. Balasubramanyam and K. R. Chandra, “Image Generation using Deep learning based Vector Autoencoders,” 2024 3rd International Conference for Advancement in Technology (ICONAT), GOA, India, 2024, pp. 1-4, doi: 10.1109/ICONAT61936.2024.10774635.
- K. S. Sharmila, P. Bhavya, P. Manaswi, S. N. S. Sri, V. M. S. S. Vasavi and V. Rakshitha, “Integrative Approach for Epileptic Seizure Detection: A Comparative Analysis,” 2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS), Bengaluru, India, 2024, pp. 1-6, doi: 10.1109/ICETCS61022.2024.10543465.
- K. S. Sharmila, N. Murty Y, S. Nagarajan, K. Sridevi, K. N. S. K. Santhosh and K. Ramesh Chandra, “A Cloud-Enabled Smart Marketplace for Fresh Produce using MERN Stack,” 2025 5th International Conference on Soft Computing for Security Applications (ICSCSA), Salem, India, 2025, pp. 1024-1029, doi: 10.1109/ICSCSA66339.2025.11170716.
- K. Kiran, S. Manne, B. Satyanarayana, K. R. Chandra, K. S. Sharmila and S. Swathi, “Deep Learning-Based Intelligent Image Processing for Automated Feature Extraction and Pattern Recognition,” 2025 International Conference on Information, Implementation, and Innovation in Technology (I2ITCON), Pune, India, 2025, pp. 1-5, doi: 10.1109/I2ITCON65200.2025.11210539.
- K. S. Sharmila, A. R. Shaik, K. R. Chandra, K. Balasubramanyam, K. Satyanarayana and R. Devi, “Substantial Image Deraining with Realistic Generalization Through Gaussian Process-Driven Semi-Supervised Analysis,” 2025 8th International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, 2025, pp. 1466-1470, doi: 10.1109/ICOEI65986.2025.11013221.
- K. S. Sharmila, D. L. N. Likitha, D. Masrath, D. H. Hruthika, A. N. Raji and B. Sruthi, “Real Time Object Recognition with Voice Guided Navigation for Visually Impaired using OpenCV,” 2025 5th International Conference on Expert Clouds and Applications (ICOECA), Bengaluru, India, 2025, pp. 551-555, doi: 10.1109/ICOECA66273.2025.00100.
- Soni Sharmila K, Revathi S T, Sree PK. DDINet: Drug-drug interaction prediction network based on multi-molecular fingerprint features and multi-head attention centered weighted autoencoder. Journal of Bioinformatics and Computational Biology. 2025 Feb;23(1):2550003. DOI: 10.1142/s0219720025500039. PMID: 40169368.
- Babu, Gurujukota Ramesh, et al. “DESIGN AND IMPLEMENTATION OF AN DYNAMIC IOT CLOUD BASED PROCESSING PLATFORM.” Proceedings on Engineering 6.4 (2024): 1813-1820.
- P. R. Budumuru, A. R. Shaik, B. V. V. Satyanarayana, S. P. Manikanta, K. S. Sharmila and D. Durga Prasad, “Normalized Algorithm with Image Processing Methods for Estimation of Crack Length,” 2022 6th International Conference on Electronics, Communication and Aerospace Technology, Coimbatore, India, 2022, pp. 1436-1439, doi: 10.1109/ICECA55336.2022.10009306.
- K. S. Sharmila, S. Thanga Revathi and P. K. Sree, “Convolution Neural Networks based lungs disease detection and Severity classification,” 2023 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, 2023, pp. 1-9, doi: 10.1109/ICCCI56745.2023.10128188.
- Sharmila, K. Soni, and Pokkuluri Kiran Sree. “Drug-Drug Interaction: An Improved Prediction Approach Based on Convolutional Neural Networks.” 2023 International Conference on Sustainable Communication Networks and Application (ICSCNA). IEEE, 2023.
- Book Chapter:
1. Sharma, P. K., Ramesh, B., Arslan, F., Parashar, A., Malarvizhi, N., & Sharmila, K. S. (2024). Securing Privacy in the Metaverse: Advancing Biomedical Image Analysis Through Federated Learning. In Federated Learning and Privacy-Preserving in Healthcare AI (pp. 58-76). IGI Global Scientific Publishing.
2. Soni Sharmila, K., et al. “Enhanced Bone Image Segmentation Using Adamax Optimizer: Implementation and Evaluation.” EAI International Conference on Advanced Technologies in Electronics, Communications and Signal Processing. Cham: Springer Nature Switzerland, 2024.
3. Basamsetti, Anusha, et al. “Advancing Image Synthesis: Deep Laplacian Pyramid Networks for High-Quality Super-Resolution.” EAI International Conference on Advanced Technologies in Electronics, Communications and Signal Processing. Cham: Springer Nature Switzerland, 2024.
Journal Publications:
- Raman, R., Mewada, B., Meenakshi, R., Jayaseelan, G. M., Sharmila, K. S., Taqui, S. N., … Iqbal, A. (2024). Forecasting the PV Power Utilizing a Combined Convolutional Neural Network and Long Short-Term Memory Model. Electric Power Components and Systems, 52(2), 233–249. https://doi.org/10.1080/15325008.2023.2217193
- Sharmila, K.S., Asha, A.V.S., Archana, P., Chandra, K.R. (2023). Single Image Dehazing Through Feed Forward Artificial Neural Network. In: Gupta, N., Pareek, P., Reis, M. (eds) Cognitive Computing and Cyber Physical Systems. IC4S 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 472. Springer, Cham. https://doi.org/10.1007/978-3-031-28975-0_9
- Soni Sharmila, K., Manikanta, S.P., Santosh Kumar Patra, P., Satyanarayana, K., Ramesh Chandra, K. (2024). An Efficient Denoising of Medical Images Through Convolutional Neural Network. In: Pareek, P., Gupta, N., Reis, M.J.C.S. (eds) Cognitive Computing and Cyber Physical Systems. IC4S 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 536. Springer, Cham. https://doi.org/10.1007/978-3-031-48888-7_39
- COMPUTER GRAPHICS
Publisher: Notion Press
A system and Method For Enhancing Crowd Image Analysis Through Facial Landmark Recognition-202541120717
AI-Driven Real Time Object Recognition and Voice Guided Navigation system for Visually Impaired Individuals-202541100585
Computer Vison Based Face Mask Scanning and Detecting Device-434803-001
Artificial Intelligence based System and Method for Portable Solar Food Dryer-20254115132
A System and Method for Deep learning Techniques in Digital Image Processing to Improve Medical Image Analysis-20254115363
- “Paper scanning machine based on internet of things” patent no. 367333-001.
- Research Methodology
- Python for data science
- Introduction to Operating Systems
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- Medical image Analysis
- The joy of computing using python
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- UG Level:
Python programming, Computer Networks, Database Management System, Computer Graphics, Computer organization, Full Stack Development, Software project Management, web technology, Design and analysis of algorithms, operating systems - PG Level:
Operating systems, Full Stack Development, Software Requirements and estimation.
The recent publications and research contributions can be viewed from the following URLs:
| Profile | Link |
| Google Scholar | http://scholar.google.co.in/citations?user=kh3zl-sAAAAJ |
| Vidwan | 373469 |
| Research Gate | http://www.researcherid.com/rid/HLP-4102-2023 |
| ORCID | http://www.orcid.org/0000-0002-7386-0963 |
| Scopus | http://www.scopus.com/authid/detail.url?authorId=58092723600 |
