Sowmya Kamath S.

Designation:

Associate Professor

Additional Responsibilities:

Associate Dean (Alumni) (2023 onwards); Affiliate Faculty (Dept. of Design & Entrepreneurship)

Contact Details

E-mail:

Email: sowmyakamath [at] nitk [dot] edu [dot] in

Tel:

Phone: +91-824-247-3467

Webpage:

https://halelabnitk.github.io/

Room No./Floor:

#506, 5th Floor, IT Building, Beachside campus, NITK

Faculty (author) Identifiers

ORCID:

https://orcid.org/0000-0002-0888-7238

Scopus Author ID:

https://www.scopus.com/authid/detail.uri?authorId=58309365000

Vidwan ID:

https://vidwan.inflibnet.ac.in/profile/62843

Google Scholar :

https://scholar.google.com/citations?user=NeOZQ8oAAAAJ

Academic Background

Ph.D (National Institute of Technology Karnataka, Surathkal)
M.Tech (Manipal Institute of Technology, MAHE Deemed University)
B.Tech (Manipal Institute of Technology, MAHE Deemed University)

Research Interests

Artificial Intelligence / Machine Learning
Data Analytics
Natural Language Processing
Computer Vision
Generative AI
Smart Application Development

Research Supervision

PhD Students

Completed - 4

Gokul S Krishnan [Thesis title: Predictive Analytics based Integrated Framework for Intelligent Healthcare Applications]
Karthik K [Thesis title: Automated Quality Enhancement, Modelling and Management of Diagnostic Scan Images with AI Techniques]
Veena Mayya [Thesis title: AI based Clinical Decision Support Systems using Multimodal Healthcare Data]
Reshma U [Thesis title: Language Modeling based Multimodal Predictive Analytics Framework for Large-scale Clinical and Social Data] -- Co-guide: Prof. Ananthanarayana V.S

Thesis submitted - 1

Pratiksha Ramchandra Gawas (Area of Work: Computer Vision)

Ongoing - 4

Priyadarshini R (Area of Work: Computer Vision)
Supreetha R (Area of Work: Computer Vision)
Prakash P (Area of Work: Spatial Data Analytics) -- Co-guided with Dr. Shrutilipi Bhattacharjee
Thanmayee (Area of Work: Data Analytics)

Research Publications

Journal Publications (selected, recent)

Automated Oil Spill Detection and Segmentation in Marine Ecosystems using Drone-captured Images and Attention-enhanced Convolutional Architectures, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026), IEEE [SCI, IF: 5.3]
SenseFusion: A unified framework for multimodal and temporal clinical data modeling for predictive analytics applications, Information Fusion (2026), Vol. 129, Elsevier [SCI, IF: 15.5]
Medical image segmentation with optimal learning from limited data and annotations: A comprehensive review, Multimedia Tools and Applications (2026), 85:639, Springer
Content-based medical retrieval systems with evidence-based diagnosis for enhanced clinical decision support, Expert Systems with Applications (2025): 126678, Elsevier [SCI, IF: 7.5]
Efficient parameter tuning of neural foundation models for drug perspective prediction from unstructured socio-medical data, Engineering Applications of Artificial Intelligence, Volume 123, Part A, 106214 [SCI, IF: 8]
Stacking Deep learning and Machine learning models for short-term energy consumption forecasting, Advanced Engineering Informatics 52, Elsevier. 101542. [SCI, IF: 9.9]

An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images, Applied Intelligence, Springer. [SCI, IF: 5.3]
Multi-Scale Convolutional Neural Network for Accurate Corneal Segmentation in Early Detection of Fungal Keratitis, Journal of Fungi, 7:850, MDPI [SCI, IF: 5.724]
MSDNet: a deep neural ensemble model for abnormality detection and classifcation of plain radiographs, Journal of Ambient Intelligence and Humanized Computing [SCI, IF: 3.662]
Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries, Future Generation Computer Systems, Elsevier [SCI, IF: 7.5]
Predicting ICD-9 code groups with fuzzy similarity based supervised multi-label classification of unstructured clinical nursing notes, Knowledge-Based Systems, Elsevier [SCI, IF: 8.8]
FarSight: Long-Term Disease Prediction Using Unstructured Clinical Nursing Notes. IEEE Transactions on Emerging Topics in Computing (TETC), IEEE [SCI, IF: 5.9]
A Novel GA-ELM Model for Patient-specific Mortality Prediction over Large-scale Lab Event Data, Applied Soft Computing, Elsevier [SCI, IF: 8.7]
Discovering Composable Web Services based on Functional Semantics and Service Dependencies using Natural Language Requests, Journal on Information System Frontiers, Springer [SCI, IF: 5.9]
A Deep Neural Network Model for Content-Based Medical Image Retrieval with Multi-View Classification, The Visual Computer - International Journal of Computer Graphics, Springer [SCIE, IF: 3.5]
Dynamic video anomaly detection and localization using sparse denoising autoencoders. Springer Multimedia Tools and Applications, Vol 77 [SCI, IF: 3.6]

Conference Publications (selected, recent)

ReMAG-KR: Retrieval and Medically Assisted Generation with Knowledge Reduction for Medical Question Answering. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024. (CORE A* ranked)
A Multimodal Approach Integrating Convolutional and Recurrent Neural Networks for Alzheimer's Disease Temporal Progression Prediction. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024. (CORE A* ranked)
Neural Language Modeling of Unstructured Clinical Notes for Automated Patient Phenotyping. Proceedings of the 56th Annual Conference on Information Sciences and Systems (CISS), Princeton University, USA IEEE (CORE A ranked)
Population-centric Profiling with Social Data for Large-scale Epidemiological studies. Proceedings of ACM IKDD CODS and 27th COMAD (CORE A ranked)
LATA - Label Attention Transformer Architectures for ICD-10 Coding of Unstructured Clinical Notes. IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (CORE B ranked)
Ensemble ALBERT and RoBERTa for Span Prediction in Question Answering, 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP) (CORE A* ranked)
Predicting Vaccine Hesitancy and Vaccine Sentiment using Topic Modeling and Evolutionary Optimization, 26th International Conference on Natural Language & Information Systems, Salsburg, Germany (CORE C ranked)
AuthNet: A biometric authentication mechanism based on temporal facial feature movements, AAAI Student Track, 35th Conference on Artificial Intelligence (AAAI 2021) (Mentor) (Core A* ranked)
Leveraging Multimodal Behavioral Analytics for Automated Job Interview Performance Assessment and Feedback, 58th Annual Meeting of the Association for Computational Linguistics (ACL) (Core A* Conference)
Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes, 20th International Conference on Computational Science, Amsterdam (Core A ranked)
Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification, In the proceedings of SIGNLL Conference on Computational Natural Language Learning (CoNLL), 27th Intl. Conference on Empirical Methods in NLP, Hong Kong (Core A* Ranked)
ARS_NITK at MEDIQA 2019: Analysing Various Methods for Natural Language Inference, Recognising Question Entailment and Medical Question Answering System, 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy (Core A* Ranked)

1. Bharat 5G Usecases Project

Grantee: Department of Telecommunications, Government of India

Duration: 2023 to 2028

Status: Ongoing

2. SERB POWER Grant

Title: Artificial intelligence based modeling and assessment of saltwater intrusion in west flowing rivers of Coastal Karnataka

Grantee: DST SERB, Government of India

Collaboration: IIT Kharagpur

Duration: 2022 to 2025

Status: Completed

3. Early Career Research Grant

Title: A framework for deep learning based analytics for intelligent healthcare applications

Grantee: DST SERB, Government of India

Duration: 2017 to 2020

Status: Completed

4. Google Cloud COVID-19 Research Grant

Title: Multi task deep neural networks for learning disease representations from multimodal patient data

Grantee: Google Inc

Duration: 2020 to 2021

Status: Completed

5. Microsoft AI for Earth Grant

Title: Spatial data analytics for environmental modeling

Grantee: Microsoft, USA

Duration: 2022 to 2023

Status: Completed

Consultancy Work

Areas of expertise - Data Analytics, Business Intelligence, Computer Vision, Generative AI, Machine Learning, Web/mobile application development

Projects completed - 9

Projects ongoing - 4

Other Projects

Contributed to development of Automated Portal for MHRD's DASA Scheme (Direct Admission of Students Abroad into NITs) -- DASA 2019, DASA 2020
NITK MIS Project (Academic Centric Student Information System- IRIS) -- 2016-2023

https://iris.nitk.ac.in/hrm

3. Nodal Officer for Atal Ranking of Institutions' Innovation Achievements -- ARIIA 2019, 2020 & 2021

Industry Collaboration

Industry sponsored Laboratories Set-up

HP Enterprise sponsored High Performance Computing Lab (High-end Servers and switches donated by HP Enterprise, Bangalore)
IoT and Data Analytics Lab (in collaboration with RDL Technologies, Mangalore)

Recent Projects with reputed Industry

Learning Representations for Anomaly Detection in Time-Series (in collaboration with Microsoft Research)
Performance Analytics for Xeon based CPUs (in collaboration with Intel India)
Cooperative Multipathing (in collaboration with Dell EMC, Bangalore)

Awards & Honours

India AI Fellowship 2025 awarded for a student project titled "Edge Optimized Synthetic CT Generation from MRI and CBCT" (Funding: Financial support of up to ₹2.0 lakh during the program, additional support of up to ₹1.0 lakh travel/accommodation grant for presenting articles at International AI conferences with h5 rating >100) (Jan 2026)
India AI Fellowship 2025 awarded for a student project titled "Explaining Cross Modality Medical Image Generation" (Funding: Financial support of up to ₹2.0 lakh during the program, additional support of up to ₹1.0 lakh travel/accommodation grant for presenting articles at International AI conferences with h5 rating >100) (Jan 2026)
BEST PAPER AWARD for the research paper titled "Fungal Keratitis Classification using Advanced Meta-Ensemble Learning Techniques", at the XXII Control Instrumentation Systems Conference (CISCON) 2025, organised by Manipal Institute of Technology, MAHE, Manipal, during August 1-2, 2025.

Best paper award for "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, NIT Goa

Awarded Micorsoft AI for Earth Grant in the domain, Environmental modeling using Spatial Data Analytics.
Best paper award for “Deep Learning based detection of Diabetic Retinopathy from Inexpensive Fundus Imaging Techniques”, at 7th International Conference on Electronics, Computing and Communication Technologies (IEEE CONECCT 2021), July 9-11, 2021, organised by IEEE Bangalore Section, India

Best paper award for “Sketch-based Image Retrieval using Convolutional Neural Networks based on Feature Adaptation and Relevance Feedback”, at 6th International Conference on Emerging Applications of Information Technology (EAIT), organised by Computer Society of India (Kolkata chapter) at University of Kalyani, Feb 25-27, 2021
Mentor for a B.Tech student team who won the First prize of Rs. 1,00,000 at the Grand Finale of the Smart India Hackathon 2020 (Software) (Prob. Stmt no. AR 256, National Jute Board), August 1-4, 2020
Awarded Google Cloud COVID-19 Research Grant of USD 10,600 (July 2020)
Best paper award for “Leveraging Deep Learning Approaches for Patient Case Similarity Evaluation”, at 8th International Conference on Frontiers in Intelligent Computing - Theory and Applications (FICTA 2020), Jan 4-5, 2020.
AMD India Best Student Project 2018 Prize for the B.Tech project "Out-of-Context Object Identification for Image Enhancement" (Cash prize of Rs. 25,000)
Received special invite for participation in Innovation Exhibition 2018 and Interaction with Grassroots innovators at Rashtrapathi Bhawan, New Delhi (19th March, 2018)
Innovative work titled "Predictive Analytics for Intelligent Healthcare Applications" was selected for participation in the Festival for Innovation and Entrepreneurship 2018 (FINE 2018), organized by The President's Secretariat in association with Department of Science & Technology/National Innovation Foundation-India (March 19-21, 2018).
Elevated to IEEE Senior Member Grade (2018)
Recipient of Early Career Research Award from Department of Science and Technology (DST), Govt. of India (2017)
ACM Kolkata Chapter - ICACNI 2016 Best Paper in Networking track Award for "A Quality-centric Scheme for Web Service Ranking using Fuzzified QoS Parameters" at 2016 International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2016).

Significant projects

Ongoing Projects

Smart City Mangaluru - Collaborative projects
Virtual Lab Phase 4 project, Ministry of Education, Govt. of India (Center for System Design, NITK)
Clinical Decision Support Systems based on Multimodal patient data (multi-institute project)
Low-cost healthcare devices for Chronic Ocular Disease Screening (multi-institute project)

Completed Projects (past four years)

DeepOA: Early Detection and Severity Grading of Knee Osteoarthritis (in collaboration with KMC Mangalore)
Supervised and unsupervised models for Variant Annotation (in collaboration with Harvard Medical School)
Learning Representations for Anomaly Detection in Time-Series (in collaboration with Microsoft Research, Bangalore)
Performance Analytics for Xeon based CPUs (in collaboration with Intel India)
Cooperative Multipathing (in collaboration with Dell EMC, Bangalore)
Automated Medical Image Correction & Enhancement (in collaboration with KMC Mangalore)
Zero Shot Object Detection (In collaboration with Dr. Vineeth N Balasubramanian (IIT Hyderabad)
Modeling Neural Networks Behavior for Image Retrieval (In collaboration with Dr. Suyash P Awate, (IIT Bombay)
Towards End-to-end Person Reidentification on Raw Video Frames (In collaboration with Prof. Anurag Mittal, IIT Madras)
Knowledge Extraction from Unstructured Technical Literature (In collaboration with Siemens Research, Bangalore)
Clustering Algorithms for High Dimensional Data (In collaboration with Prof. Artur W. Dubrawsi, Carnegie Mellon University, USA)
Cross Linguistic Information Retrieval for Indian Classical Languages (In collaboration with Prof. Ganesh Ramakrishnan, IIT Bombay)
Autonomous Learning of the Meaning of Objects (In collaboration with Dr. Elena Cabrio and Dr. Valerio Basile, University of Nice-Sophia Antipolis, France)
Deep Reinforcement Learning for Policy Distillation and Policy Learning (In collaboration with Prof. Shalabh Bhatnagar, IISc Bangalore)

Events Organised

Expert Talk on "Designing Data-oriented Smart Systems for the Automotive Domain" by Ms. Saranya Tibrewal, Senior Manager and Head of Middleware-Software CoE, Marelli India, Bangalore (April 17, 2026)
Expert Talk on "Modern Information Retrieval: From Web Search to RAG Systems" by Ms. Neha Bajaj, Software Engineer III, Google India, Bengaluru (April 10, 2026)

Expert Talk on "AI Model Benchmarking and Validation" by Dr. Gokul S. Krishnan, Senior Research Scientist, Centre for Responsible AI (CeRAI), IIT Madras, (November 4th, 2025)
Expert Talk on "Generative AI - Capabilities and Real-world Applications" by Dr. Gokul S. Krishnan, Senior Research Scientist, Centre for Responsible AI (CeRAI), IIT Madras (November 3rd, 2025)
Expert Lecture and Workshop on "The Evolution of AI Agents: From Simple Programs to Agentic AI", Prof. Prof. Vijayan Sugumaran, Distinguished Professor and Co-director, Center for Big Data Analytics, Oakland University, Michigan, USA (July 18-19, 2025)

2 day workshop on "Clinical NLP and Responsible AI", Dr. Gokul S Krishnan, Research Scientist, Centre for Responsible AI, IIT Madras (October 24-25, 2024)
Expert talk on "AI in Biomedical Imaging and Precision Medicine", Dr. Veena Mayya, University of Central Florida, USA (September 27, 2024)

Expert talk on "Generative AI for Digital Health", Dr. Manali Hazarika, KMC Manipal (August 23, 2024)
Expert talk on "Opportunities for AI Applications in Ophthalmology Domain", Prof. (Dr.) Uma Kulkarni, Yenepoya University (August 21, 2024)
Expert talk on "Data Management and Analytics for Wearable Technologies in Healthcare" by Prof. Vijayan Sugumaran, Distinguished Professor and Co-director, Center for Big Data Analytics, Oakland University, Michigan, USA (August 7, 2024)
NITK Marelli CSR Project 2023 - Product Showcase (October 13, 2023)
Faculty Convener for NITK National-level Hackathon, "HackVerse 4.0" (April 15-16, 2023)

Faculty Convener for NITK National-level Hackathon, "HackVerse 3.0" (February 26-27, 2022)

DST sponsored Technology based Entrepreneurship Development Program TEDP 2021 (NITK STEP) (February 15- March 26, 2021)
Faculty Convener for NITK National-level Hackathon, "HackVerse 2.0" (February 27-28, 2021)
DST sponsored Women's Entrepreneurship Development Program WEDP 2021 (NITK STEP) (February 1-26, 2021)

Faculty Convener for NITK National-level Hackathon, "HackVerse 2020" (January 25-26, 2020)
Co-coordinator for NITK Internal Hackathon for Smart India Hackathon 2020 (January 21-22, 2020)
Organized Special Session on Healthcare Analytics and Language Processing (HeAL 2020) in collaboration with Amazon Inc (colocated with FICTA 2020, January 4-5, 2020)
Organizing Chair for 8th International Conference on Frontiers in Intelligent Computing - Theory and Applications (FICTA 2020) (January 4-5, 2020)
Two day Workshop on "Computer Networks" (October 22-23, 2019)
Hewlett Packard Enterprise (HPE) sponsored High Performance Computing Lab Inauguration (17th August 2019)
One Week National Workshop on "High Performance Computing and Applications (HPCA 2019)" (August 12-17, 2019)

One Day Workshop on Internet of Things (22 March 2019)
BIRAC and IKP Knowledge Park sponsored "BRIC Idea Exposition 2019" at Center of System Design, NITK Surathkal (16-17th March 2019)
HP Enterprise Workshop on "Experience the Power of HPC" (9th March 2019)
Convener for the "Grand Finale of the Software Edition of Smart India Hackathon 2019" (March 2-3, 2019)
TEQIP III sponsored One Week Workshop on "Predictive Analytics and its Applications PAA 2019" (Jan 14-18, 2019)
NITK Women's 24-hour Hackathon "Athena" , sponsored by NITK-STEP (Nov 3-4, 2018)
One-day Workshop on "High Performance Computing" by HP Enterprise, Bangalore (29 Oct 2018)
"Entrepreneurship Awareness Camp" for NITK Students, sponsored by DST-Delhi, EDII-Ahmedabad and TEQIP III-NITK (30 Aug - 1 Sep, 2018)
"Induction Program 2018" for First Year B.Tech Students (July 25-29, 2018)
TEQIP III sponsored workshop on "Intellectual Property Rights" (April 13th, 2018)

Main Menu

Sowmya Kamath S.

Designation:

Additional Responsibilities:

E-mail:

Tel:

Webpage:

Room No./Floor:

ORCID:

Scopus Author ID:

Vidwan ID:

Google Scholar :

PhD Students

1. Bharat 5G Usecases Project

2. SERB POWER Grant

3. Early Career Research Grant

4. Google Cloud COVID-19 Research Grant

5. Microsoft AI for Earth Grant

Quick Links

Contact us

Connect with us

Main Menu

Sowmya Kamath S.

Designation:

Additional Responsibilities:

E-mail:

Tel:

Webpage:

Room No./Floor:

ORCID:

Scopus Author ID:

Vidwan ID:

Google Scholar :

PhD Students

1. Bharat 5G Usecases Project

2. SERB POWER Grant

3. Early Career Research Grant

4. Google Cloud COVID-19 Research Grant

5. Microsoft AI for Earth Grant

Quick Links

Contact us

Connect with us

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