DEPARTMENT OF INFORMATION TECHNOLOGY, NITK SURATHKAL 

 

Journal Publications in 2025

SI NO          AUTHOR, PAPER AND JOURNAL DETAILS 

  1. Shashank Shetty, Ananthanarayana V. S., Ajit Mahale, Suba Arul Devi, SMC-CNN: Stacked Multi-Channel Convolution Neural Network for predicting Acute Brain Infarct from Magnetic Resonance Imaging Sequences, IEEE Access, November 2024, Print ISSN: 2169-3536, Online ISSN: 2169-3536 Digital Object Identifier: 10.1109/ACCESS.2024.3498316

  2. Prathipati Jayanth, JattiDevaPaul, Pradeep Balla, Ritvik Kand Ananthanarayana V S, Lyric-to-Melody: Generative Song Melody Creation from Lyrics 6th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, 20 - 21 December 2024, NIT Goa, India

  3. Abhayjit Singh Gulati, Soumya Sangam Jha, Achyut Agarawal, Ananthanarayana V. S, Ensemble Based Method for Drug-Drug Interaction Prediction, The 3rd IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI-2025), March 06-08, 2025, ABV-IIITM Gwalior

  4. Ramu S, Ram Mohana Reddy Guddeti and Biju R. Mohan, “Federated Learning Approach for Human Activity Recognition in Online Examination Environment", Springer Multimedia Tools and Applications, Accepted for Publication, Dated March 28, 2025 (SCI/Scopus).

  5. Madhusmita Das, Biju R. Mohan and Ram Mohana Reddy Guddeti, “HSoMLSDP: A Hybrid Swarm-optimized Machine Learning Framework for Software Defect Prediction", IEEE Access, Accepted for Publication, Dated Mar 26, 2025.

  6. Madhusmita Das, Biju R. Mohan and Ram Mohana Reddy Guddeti, “Fault Tree Analysis: A Review on Analysis, Simulation Tools, and Reliability Dataset for Safety-Critical Systems”, Journal of Disaster Advances, Accepted for Publication, Dated November 13, 2024 (Geobase(Elsevier), Scopus Indexed, and UGC Approved Journal).

  7. Madhusmita Das, Biju R Mohan, Ram Mohana Reddy Guddeti, and Nandini Prasad, “Hybrid Bio-optimized Algorithms for Hyperparameter Tuning in Machine Learning Models: A Software Defect Prediction Case Study”, MDPI Journal on Mathematics, Aug 15, 2024, 12, 2521, https://doi.org/10.3390/math12162521 (SCIE/Scopus).

  8. Gagandeep, K.N., Belagali, A.R., Rashmi, M., Guddeti, R.M.R., “Interactive System for Toddlers Using Doodle Recognition”, Lecture Notes in Computer Science, vol 13102, July 2024, https://doi.org/10.1007/978-3-031-12700-7_61(Scopus).

  9. Niranjan, Natesha B.V., Rashmi M., Guddeti R.M.R., "An Effective Real-time Surveillance System for Fire and Smoke Detection Using CNN", Lecture Notes in Computer Science, vol 13102. July 2024,  https://doi.org/10.1007/978-3-031-12700-7_49(Scopus).

  10. Ramu Shankarappa, Nandini Prasad, Ram Mohana Reddy Guddeti and Biju R. Mohan, “Bio-Inspired Hyperparameter Tuning of Federated Learning for Student Activity Recognition in Online Exam Environment”, MDPI Journal on Artificial Intelligence (AI), 5, 1030–1048, July 2024, https://doi.org/10.3390/ai5030051(Scopus).

  11. Karthik, K., Sowmya Kamath, R. Supreetha, and Ashish Katlam. "Content-based medical retrieval systems with evidence-based diagnosis for enhanced clinical decision support." Expert Systems with Applications (2025): 126678. [SCI, IF: 7.5, Q1]

  12. Reshma Unnikrishnan; Sowmya S Kamath; Ananthanarayana VS, “Efficient Parameter Tuning of Neural Foundation Models for Drug Perspective Prediction from Unstructured Socio-Medical Data”, Journal of Engineering Applications of Artificial Intelligence, Vol 118, 2024 [SCI, IF: 9.6, Q1]

  13. Shanbhag, S., Raju, S., Gurupur, V., Kamath, S.S., Kandala, R.N., Trader, E.A., 2024. Analyzing Data Incompleteness for MRI Data for Quality Enhancement. IEEE Access, 2024.

  14. Naveen Shenoy, Alimurtaza Merchant, Sidharth Lanka, Sowmya Kamath S, “Code Description based Label Attention Model for Automated Diagnostic Code Prediction of Unstructured Clinical Records", Heliyon, Elsevier 2024. [SCIE, IF: 3.4, Q1]

  15. Yallabandi, G., Mayya, V., Jeganathan, J., & Kamath, S. (2023). ICU Patients’ Pattern Recognition and Correlation Identification of Vital Parameters Using Optimized Machine Learning Models. International Journal of Electrical and Computer Engineering Systems, 14(9), 1003-1013.

  16. Jalapur, S., Patil, N. An Integrated Deep Learning Framework for Soil Type Classification. SN COMPUT. SCI. 6, 251 (2025). https://doi.org/10.1007/s42979-025-03759-y

  17. Kulkarni, B.C., Sai, B.S., Kolagad, V. Patil N, Bhat P. Class-Balanced Protein Interaction Site Prediction Using Global and Local Features with XGBoost and Deep Learning. SN COMPUT. SCI. 6, 176 (2025). https://doi.org/10.1007/s42979-025-03709-8

  18. Jat, T., Patil, N. & Bhat, P. Detection of heart arrhythmia with electrocardiography. Netw Model Anal Health Inform Bioinforma 13, 57 (2024). https://doi.org/10.1007/s13721-024-00487-w

  19. Devi, T.G., Patil, N. Optimization-based convolutional neural model for the classification of white blood cells. J Big Data 11, 90 (2024). https://doi.org/10.1186/s40537-024-00949-y

  20. Payal Sharma and B. R. Purushothama, Proving the (In)Security of CRT Based Key Management Schemes Under SAOA Model, Wireless Personal Communications, Volume 134, pages 1299–1321, (2024).

  21. Sudhakara B, Shrutilipi Bhattacharjee, "High-Resolution Soil Moisture Estimation - A Case Study in Coastal India", Journal of the Indian Society of Remote Sensing (accepted) (Impact Factor: 2.2; Accessed on December 2024) [SCIE, Q2]

  22. Spurthy Maria Pais, Shrutilipi Bhattacharjee and Anand Kumar Madasamy, "Forecasting of Fine‑Grained SIF of OCO‑2 Using Multi‑source Data and AI‑Based Techniques", Journal of the Indian Society of Remote Sensing, (accepted) (Impact Factor: 2.2; Accessed on December 2024) [SCIE, Q2]

  23. Ramya D Shetty, Shrutilipi Bhattacharjee and Kogatam Thanmai, "Node Classification in Weighted Complex Networks using Neighborhood Feature Similarity", IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 6, pp. 3982-3994, April 2024 (Impact Factor: 5.3; Accessed on November 2024) [10.1109/TETCI.2024.3380481] [SCIE, Q1]

  24. Mummadi, S., Rudra, B. Optimisation of quantum circuits using cost effective quantum gates,International Journal of Computational Science and Engineering, 2025, 28(2), pp. 246–253

  25. Naik, P.M., Rudra, B. Deep learning-based arecanut detection for X-ray radiography: improving performance and efficiency for automated classification and quality controlNondestructive Testing and Evaluation, 2025, 40(2), pp. 671–691

  26. Naik, P., Rudra, B. Framework for Lightweight Deep Learning Model Using YOLOv5 for Arecanut Grade AssessmentSN Computer Science, 2024, 5(8), 1015

  27. Naik, P.M., Rudra, B. Quantum-inspired Arecanut X-ray image classification using transfer learningIET Quantum Communication, 2024, 5(4), pp. 303–309

  28. Mummadi, S., Rudra, B. Fundamentals of quantum computation and basic quantum gatesQuantum Computing and Cryptography in Future Computers, 2024, pp. 33–50

  29. Pandey, A., Rudra, B. Deepfake Audio Detection Using Quantum Learning Models2024 IEEE Middle East Conference on Communications and Networking, MECOM 2024, 2024, pp. 1–6

  30. Koushik, M., Hegde, P., Rudra, B. Crack Density and Length Detection using Machine LearningProceedings of the World Congress on New Technologies, 2024

  31. Goel, S., Sawant, S.V., Rudra, B. Secure Decentralized Carpooling Application Using Blockchain and Zero Knowledge ProofInternational Conference on Internet of Things, Big Data and Security, IoTBDS - Proceedings, 2024, pp. 260–267

  32. Naik, P.M., Rudra, B. Optimizing Object Detection in YOLOv5 using Adaptive Genetic Algorithm: A Study on Population Sizes for Enhanced Accuracy2024 3rd International Conference for Innovation in Technology, INOCON 2024, 2024

  33. Roy, S.K., Rudra, B. Quantum-inspired hybrid algorithm for image classification and segmentation: Q-Means++ max-cut methodInternational Journal of Imaging Systems and Technology, 2024, 34(1), e23015

  34. Hariharan R L, Anand Kumar M, “A reasoning based explainable multimodal fake news detection for low resource language using large language models and transformers “(2025) Journal of Big Data (Springer), 12 (1).

  35. Pais, S.M., Bhattacharjee, S. & Anand Kumar M. Forecasting of Fine-Grained SIF of OCO-2 Using Multi-source Data and AI-Based Techniques. J Indian Soc Remote Sens (2025).

  

 

Conference Publications in 2025

SI NO          AUTHOR, PAPER AND JOURNAL DETAILS 

  1. Jatin Grewal, Sowmya Kamath S, “Lightweight Attention based model for Aerial Vegetation Classification”, 8th International Conference on Information Systems and Management Science (ISMS-2025), IIT Patna, India, Dec 5-7, 2025

  2. Priyadarshini R, Varun Arya, Sowmya Kamath S, “Semantic Segmentation Based Approach for Marine Debris Detection using Multispectral Satellite Imagery and Spectral Indices”, 8th International Conference on Information Systems and Management Science (ISMS-2025), IIT Patna, India , Dec 5-7, 2025

  3. Prakash P, Sowmya Kamath S, Shrutilipi Bhattacharjee, Pruthviraj U and K V Gangadharan, “Multi-Source Surface Reflectance Data Fusion for Water Quality Monitoring”, 8th International Conference on Information Systems and Management Science (ISMS-2025), IIT Patna, India , Dec 5-7, 2025

  4. Mandapati Uzzwal, Sowmya Kamath S, Tzung-Chien Hsieh, “Evaluating CNN Architectures for Multi-class Genetic Syndrome Classification based on Facial Phenotypes”, 10th International Conference on Internet of Things and Connected Technologies (ICIoTCT 2025), Dept. of Computer Science & Engineering Maulana Azad National Institute of Technology Bhopal, M.P, India during December 16-18, 2025

  5. M. Hemanth Kumar, Sowmya Kamath S., Supreetha R., “Automated Legal Document Annotation and Labeling using Large Language Models”, Fourth edition of the International Conference on Speech & Language Technology for Low-resource Languages (SPELLL), Indian Institute of Information Technology (IIIT), Kottayam, Kerala, INDIA on December 18-20, 2025

  6. Unnikrishnan Reshma, S Sowmya Kamath and V S Ananthanarayana, “Parameter Efficient Tuned LongFormer for Diagnostic Code Classification based on Unstructured Clinical Reports”, Ninth International World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4 2025), August 19 – 21, 2025 London, UK.

  7. Satruddh Pratap and Sowmya Kamath S, “Attention-enhanced Lightweight CNN Model for Coronary Vessel Segmentation”, 16th International IEEE Conference on Computing Communication and Networking Technologies (ICCCNT 2025), IIT Indore, July 6 - 11, 2025

  8. Pranav Salunkhe and Sowmya Kamath S. “Named Entity Recognition Approaches for Multihop Reasoning based Clinical Question Answering Systems”, 2025 Seventeenth International Conference on Contemporary Computing (IC3), Pune

  9. Ritik Mahajan and Sowmya Kamath S, “Automated ICD-10 Coding Approach with UMLS Integration and Model Interpretability Support”, 16th International IEEE Conference on Computing Communication and Networking Technologies (ICCCNT 2025), IIT Indore, July 6 - 11, 2025

  10. Kattamudi Vaibhava Lakshmi, Shikha Reji, Sowmya Kamath S., "Fungal Keratitis Classification using Advanced Meta-Ensemble Learning Techniques", 22nd Control Instrumentation Systems Conference (CISCON) 2025, Manipal University.

  11. Unnikrishnan Reshma, S Sowmya Kamath and V S Ananthanarayana, “Automated Interpretive Radiology Notes Generation for Long-tail Disease Classification”, 16th International IEEE Conference on Computing Communication and Networking Technologies (ICCCNT 2025), IIT Indore, July 6 - 11, 2025

  12. Abhin B, Hemanth K M, Sowmya Kamath S. and Vijayan Sugumaran, “Leveraging Generative AI for Chronic Kidney Disease Prediction: A Comparative Study of Open-Source LLMs”, 30th International Conference on Natural Language and Information Systems, NLDB 2025, Japan

  13. Sidhaarth Sredharan Murali, Sowmya Kamath S, Vijayan Sugumaran, “LADDER: Latent Attention and Decomposition for Deep Enhanced Retrieval in Medical Question-Answering Systems”, 30th International Conference on Natural Language and Information Systems, NLDB 2025, Japan

  14. Pratiksha Gawas and Sowmya Kamath S., “Lightweight Deep Learning Framework for Automated Breast Cancer Diagnosis using Thermal Imaging Modalities”, 5th International Conference on Computer Vision and Robotics (CVR 2025), April 25-26, 2025 at National Institute of Technology Goa (Best paper award)

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Head of the Department,
Department of Information Technology,
National Institute of Technology Karnataka,
Surathkal, P. O. Srinivasnagar, Mangalore - 575 025
Phone (Dept office):: +91-824-2473450
Phone (HoD Direct line):    +91-824-2474040
Email:  head.it@nitk.edu.in
 

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