Research
Research focuses on Artificial Intelligence, Machine Learning, Computer Vision, Natural Language Processing, Data Mining, and Data Analytics, with contributions through international journal and conference publications, as well as book chapters and two Elsevier edited books. Two international patents have been granted in the areas of image processing and computer vision. Engagement in industry consultancy projects has enabled the application of AI techniques to real-world challenges. In addition, collaborative research proposals and interdisciplinary initiatives contribute to bridging academic research with practical impact.
Patents
International Patent – Australian Patent
Application Number: 2021105815
Applicants: Dr. Tilottama Goswami, Dr. Arun Agarwal, Dr. C. Raghavendra Rao
Title of Invention: A Multi-Faceted Hierarchical Image Segmentation Taxonomy (MFHIST) System for Categorization of Image Segmentation Algorithms
Granted: 27-10-2021
International Patent – German Patent
Application Number: 2023101249
Applicants: Dr. Tilottama Goswami, Dr. Arun Agarwal, Dr. C. Raghavendra Rao
Title of Invention: Unified Approach for Representing Outdoor Scenes
Granted: 03-04-2023
Industry Consultancy Projects
- Consultant for TMI Networks Pvt. Ltd, funded project: Feb 2024 – Jan 2025 (Funded: Rs. One Lakh)
Phase I: To study and build an advanced statistical analytics capability for discriminant analysis and regression analytics for client dataset as a proof of concept
Phase II: Development of predictive analytics and analyze data patterns using AI/ML for client dataset
- Principal Investigator for TMI Networks Pvt. Ltd., funded project titled “Video Recommendation based on AI”, Jan 2023-April 2023 (Funded Rs.30000)
- Principal Investigator for TMI Networks Pvt. Ltd., funded project titled “Mobile App Test Automation”, April 2023-Aug 2023, (Funded Rs 60000)
- Research Consultant for DataVedik, Texas, USA, project titled “Machine Learning and Image Processing for Well Log Digitization”, April 2021-July 2021
Research Organization Projects
- Research projects in academic collaboration with National Remote Sensing Centre (NRSC), Indian Space Research Organization (ISRO), Hyderabad in the field of deep learning model, machine learning and image processing from Dec 2017– Apr 2019
List of projects
- A framework for scenic interpretation of crowd-sourced geo-tagged photographs based on image analysis and deep learning model, Co-Principal Investigator
- Road Extraction from satellite images using deep learning models, Principal Investigator
- Appointed as Assistant Software Engineer in Funded project titled ‘Grid Fabric/Middleware Technologies for developing Ocean Related Applications and Services’ sponsored by Indian National Centre for Ocean Information Services (INCOIS)., under Department of CIS, University of Hyderabad, Feb 2012 – Dec 2012
Projects Proposals Submitted
- Dr Tilottama Goswami as PI submitted proposal on Early-Analysis Network: Data Archive for Triage & AI for Translational Projects in Healthcare Domain in collaboration with Department of Conservative Dentistry and Endodontics, Govt Dental College and Hospital, Afzalgunj, Hyderabad, November 2025
- Dr Tilottama Goswami as Co-PI, submitted proposal for IIT Tirupati Navavishkar I-Hub Foundation (IITTNiF) titled “Remote Sensing (RS) AI Crop Analytics and Visualization Cloud Platform for Plot and Regional Level for Precision Farming”, February 2023
- Dr. Tilottama Goswami as PI, submitted DST project proposal in collaboration with University of Salerno, University of Pisa, University of Basilicata, IIT Hyderabad, NIRD, Osmania University titled ‘Leveraging Industry 4.0 Emerging Technologies for Predicting Quality of Life using Human Development Index’ applied for Indo- Italian call for proposals for the Network of Excellence, 30 April 2021
- Dr Tilottama Goswami (Co-PI) in technical collaboration with Dept of Chemistry, submitted proposal for SERB-POWER Grant, Applying Machine Learning Techniques for Forecasting of Crop Yield using Reclaimed Food Industry Wastewater, 6 Jan 2021
- Project proposal submitted on ‘Assessing the Impact of Integrated Child Development Services (ICDS) intervention in Tribal Populations using Predictive Analytics: a Study of Gudur Mandal, Mahabubabad District, Telangana’ for TSCOST
– Department of Science and Technology (DST), GoI funded program, 29 Jan 2020
- Project proposal submitted on ‘Intelligence based Hardware and Software solution for Automatic detection and classification of objects in satellite images’ Innovations for Defence Excellence (iDEX), Artificial Defence India Startup Challenge launched by Ministry in partnership with Atal Innovation Mission, 3 Dec 2020
- Project proposal submitted on ‘Statistical Modelling to set up hypothesis test to formulate and establish the inferences drawn from John Holland psychometric responses and English Numeracy Pattern Test responses for evaluation of youth’s area of interest’ for DDU-GKY Skill Development Programme under Ministry of Rural Development, NIRD, Hyderabad, 1 Dec 2020
PhD Thesis: A Framework for Color-Texture Segmentation and Characterization of Natural Outdoor Images
An abundance of automated and semi-automated segmentation techniques exists in the literature, catering to a wide range of image analysis and understanding applications. To address this diversity of approaches, a Multi-Faceted Hierarchical Image Segmentation Taxonomy (MFHIST) has been proposed. Additionally, a computationally efficient hybrid color-texture feature integration methodology has been developed for natural color image segmentation. Accurate segmentation combined with texture characterization enables the generation of meaningful knowledge representations, forming the foundation of this framework for objective image interpretation. The proposed framework is expected to be highly useful in the field of computer vision, particularly in scenarios where prior knowledge about the scene is unavailable.
Journal Publications
Journal Publications (12 International, 1 National: Total 13)
| S.No | Title | Description | Year |
|---|---|---|---|
| 1 | Holistic Review of Super Resolution Algorithms | Goswami, Tilottama; Tejaswi, Surya; Aaki, Akash; Rao, K. (2025) “Holistic review of super resolution algorithms”. Iran Journal of Computer Science, 8, 731-748. Apr 2025. https://doi.org/10.1007/s42044-025-00253-9 | 2025 |
| 2 | Forest Fire Detection using Multi-Modal Learning | Tilottama Goswami, Apuru Rohan, Varkala Sujith Atesh, Kovvur Ram Mohan Rao (2024) “Forest Fire Detection Using Multi-Modal Learning on RGB/IR Dataset”, International Journal of Engineering Trends and Technology, Accepted Oct 2024 | 2024 |
| 3 | Metaverse in Media – Digital Traces Study | Kumar, Manoj; Sharma, Amit; Goswami, Tilottama; Kumar, Akhilesh (2024). Metaverse in Media: Understanding Digital Traces Towards Futuristic Technologies in India. Media Education (Mediaobrazovanie), 20. https://doi.org/10.13187/me.2024.2.227 | 2024 |
| 4 | SWT-PCA-CNN for Hyperspectral Image Classification | Goswami, Tilottama; Shruthi, Kandi; Chokkarapu, Sindhu; Kune, Raghavendra; Tripathi, Mukesh Kumar (2024). SWT-PCA-CNN: hyperspectral image classification with multi-stage feature extraction and parameter tuning. Indonesian Journal of Electrical Engineering and Computer Science, 34. https://doi.org/10.11591/ijeecs.v34.i1.pp59-68 | 2024 |
| 5 | GAN-based Transmission Fault Classification | Goswami, Tilottama; Roy, Uponika; Kalavala, Deepthi; Tripathi, Mukesh Kumar (2024). Implementing generative adversarial networks for increasing performance of transmission fault classification. Indonesian Journal of Electrical Engineering and Computer Science, 34. https://doi.org/10.11591/ijeecs.v34.i2.pp1024-1032 | 2024 |
| 6 | Hyperspectral Image Classification – Comparative Study | Tilottama Goswami, Yaksha Kasturi, Kommareddy Anvitha, Kovvur Ram Mohan Rao (2024). Performance Evaluation of Hyperspectral Image Classification Methods: A Comparative Study. International Journal of Engineering Trends and Technology, Vol. 72, No. 1, pp. 209-218, Jan 2024. https://doi.org/10.14445/22315381/IJETT-V72I1P121 | 2024 |
| 7 | NLP for Election Prediction using Twitter | Tilottama Goswami, Mukesh Kumar Tripathi et al. (2023). Natural Language Processing for Prediction of Election Results on Twitter Engagement and Polls. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 1932–1941, Sept 2023. https://doi.org/10.17762/ijritcc.v11i9.9190 | 2023 |
| 8 | Human Footprint Biometrics using ANN | Kapil Kumar Nagwanshi et al. (2023). Human footprint biometrics for personal identification using artificial neural networks. International Journal of Biometrics, Vol. 15, No. 3-4, pp. 272-290, Feb 2023 | 2023 |
| 9 | Human Intelligence and Machines | Tilottama Goswami (2022). Editorial article, Medicon Engineering Themes, 2.6: 63-65, May 2022 | 2022 |
| 10 | Unified Approach for Outdoor Scene Representation | Tilottama Goswami, Arun Agarwal, C. Raghavendra Rao (2022). IEEE Access. https://doi.org/10.1109/ACCESS.2022.3192870 | 2022 |
| 11 | MFHIST Image Segmentation Taxonomy | Tilottama Goswami, Arun Agarwal, C. Raghavendra Rao (2021). IEEE Access Journal, pp. 33543-33556. https://doi.org/10.1109/ACCESS.2021.3055678 | 2021 |
| 12 | Hybrid Color Texture Segmentation | Tilottama Goswami, Arun Agarwal, C. Raghavendra Rao (2015). Hybrid Region and Edge Based Unsupervised Color-Texture Segmentation for Natural Images. International Journal of Information Processing, 9(1), pp. 77-92. http://www.ijipbangalore.org/abstracts_9(1)/p8.pdf | 2015 |
| 13 | Metaheuristics Optimization in Image Segmentation | Tilottama Goswami (2009). Role of Metaheuristics Optimization Approach in Image Segmentation Techniques. The IUP Journal of Science & Technology, Vol 5, No. 21, pp. 21-34. http://www.iupindia.in/309/IJST_Metaheuristics_Optimization_27.html | 2009 |
Book Chapter Publications
Book Chapter Publications (6)
| S.No | Title | Description | Year |
|---|---|---|---|
| 1 | Data-driven Insights into Educational Equity | Vaisshnavi Yerrapothu, Sanskriti Goswami, Tilottama Goswami, Richard Greene, Ram Mohan Rao Kovvur, Chapter 10 – Data driven insights into educational equity: Completion rates and literacy proficiency across Human Development Index tiers, in Data-Driven Insights and Analytics for Measurable Sustainable Development Goals, Editors: Tilottama Goswami, Sonal Mobar Roy, Sabrina Senatore, Morgan Kaufmann, Pages 179-205, ISBN: 9780443330445, July 2025. https://doi.org/10.1016/B978-0-443-33044-5.00016-4 | 2025 |
| 2 | Soil Classification and Crop Prediction using Machine Learning | Tilottama Goswami, M. Divyajyothi, Prakriti Goswami, “Soil Classification and Crop Prediction using Machine Learning Techniques”, in Intelligent Computing in Drones and Robotics Technologies for Precision Agriculture, Editors: B Sundaravadivazhagan, Gnanasankaran Natarajan, Pethuru Raj Chelliah, Springer Nature, eBook ISBN: 978-3-031-51195-0, Accepted (Yet to be published), April 2024 | 2024 |
| 3 | Intelligent Automation using IoT and Machine Learning | Buddi Padmaja, Anjusree Thota, Patro Epili, Tilottama Goswami, Nagaraju M, “Intelligent automation using IoT and machine learning”, in Cognitive Sensing Technologies and Applications, Editors: GR Sinha, B Subudhi, C Fan, H Nisar, IET Digital Library, ISBN: 9781839536892, e-ISBN: 9781839536908, August 2023. https://doi.org/10.1049/PBCE135E_ch11 | 2023 |
| 4 | Impact of Mid-Day Meal Scheme using Data Analysis | Sonal Mobar Roy, Tilottama Goswami, Charan Kumar Nara, “Impact of Mid-Day Meal Scheme in Primary Schools in India using Exploratory Data Analysis and Data Visualization”, in Statistical Modeling in Machine Learning Concepts and Applications, Editors: Tilottama Goswami, G. R. Sinha, Elsevier, Pages 287-306, eBook ISBN: 9780323972529, January 2023 | 2023 |
| 5 | Statistical Modelling in Machine Learning – Case Study | Sapna Singh Kshatri, Deepak Singh, Tilottama Goswami, G R Sinha, “Introduction to Statistical Modelling in Machine Learning – A Case Study”, in Statistical Modeling in Machine Learning Concepts and Applications, Editors: Tilottama Goswami, G. R. Sinha, Elsevier, Pages 1-21, eBook ISBN: 9780323972529, January 2023 | 2023 |
| 6 | Machine Learning in Classification Tasks | Tilottama Goswami, “Machine learning behind classification tasks in various engineering and science domains”, in Cognitive Informatics, Computer Modelling and Cognitive Science, Volume 1: Theory, Case Studies, and Applications, ISBN: 9780112819443-0, Pages 339-356, April 2020 | 2020 |
Book Chapter Publications
Conference Publications (16 International, 2 National, Total: 18)
| S.No | Title | Description | Year |
|---|---|---|---|
| 1 | Sync2Lip: LipSync Video Generation Enhancement | T. Goswami et al., “Sync2Lip: Enhancing DINet for Improved LipSync Video Generation”, 5th International Conference on Computer Vision and Robotics, National Institute of Technology, Goa, India, in association with Soft Computing Research Society, April 2025, Accepted | 2025 |
| 2 | SEI-ABSA Sentiment Analysis Framework | T. Goswami et al., “SEI-ABSA: An Aspect Based Sentiment Analysis Framework Integrating Emojis and Sarcasm Detection”, Congress on Intelligent Machines and Algorithms (CIMA 2025), National Institute of Technology, Puducherry, India, October 13–14, 2025, Accepted | 2025 |
| 3 | Stock Market Prediction using Hybrid Deep Learning | T. Goswami et al., “Stock Market Prediction using Hybrid Deep Learning with Feature Engineering Model,” ICETCI 2025, Hyderabad, India, pp. 1-6, November 2025. https://doi.org/10.1109/ICETCI67340.2025.11258047 | 2025 |
| 4 | Smart E-Learning using Generative AI | Tilottama Goswami et al., “Smart E-learning Development Tool using Generative AI and Retrieval-Augmented Approach”, 12th International Conference on Big Data and Artificial Intelligence (BDA 2024), University of Hyderabad, December 2024 | 2024 |
| 5 | Dense Image Captioning using Transformers | T. Goswami et al., “Enhanced Dense Image Captioning Based On Transformers,” ICECA 2024, Coimbatore, India, pp. 1138-1144, 2024. https://doi.org/10.1109/ICECA63461.2024.10800880 | 2024 |
| 6 | AI Teaching Assistant for Specially-Abled | Tilottama Goswami et al., “Voice-controlled AI Teaching Assistant for Visually Impaired”, International Conference on Artificial Intelligence and Signal Processing, Vijayawada, India, 2023. https://doi.org/10.1109/AISP57993.2023.10135015 | 2023 |
| 7 | Classification Accuracy for Imbalanced Datasets | Tilottama Goswami, “Classification Accuracy Comparison for Imbalanced Datasets”, Lecture Notes in Electrical Engineering, Springer, 2020. https://doi.org/10.1007/978-981-15-7961-5_5 | 2020 |
| 8 | CNN for American Sign Language Recognition | Tilottama Goswami et al., “CNN Model for American Sign Language Recognition”, Springer Lecture Notes, 2020. https://doi.org/10.1007/978-981-15-7961-5_6 | 2020 |
| 9 | Recommender System Evaluation Case Study | Tilottama Goswami et al., “Correctness Evaluation of Content Based Recommender System”, ICDSMLA 2019, Hyderabad. https://doi.org/10.1007/978-981-15-1420-3_59 | 2020 |
| 10 | Air Pollution Monitoring using ML & GIS | Tilottama Goswami et al., “Intelligent Computing for Air Pollution Monitoring”, ICECIT Proceedings, Springer, January 2020. https://doi.org/10.1007/978-981-13-8942-9_12 | 2020 |
| 11 | Power System Fault Classification using ML | Tilottama Goswami et al., “Prediction Model for Classification of Power System Faults”, IEEE TENCON 2019, Kochi, Kerala. https://doi.org/10.1109/TENCON.2019.8929264 | 2019 |
| 12 | Deep Learning in Image Processing | Tilottama Goswami, “Impact of Deep Learning in Image Processing and Computer Vision”, ICMEET-2017, Hyderabad. https://doi.org/10.1007/978-981-10-7329-8_48 | 2018 |
| 13 | Image Forensic Tools Review | Chandana Gogineni, Tilottama Goswami, “Review of publicly available image forensic tools”, IEEE ICCSP-2017, Tamil Nadu | 2017 |
| 14 | Texture Characterization using Statistical Learning | Tilottama Goswami et al., “Statistical Learning for Texture Characterization”, ICVGIP 2014, Bangalore. http://dl.acm.org/citation.cfm?id=2683494 | 2014 |
| 15 | Color Texture Segmentation using Polynomial Operators | Tilottama Goswami et al., “Color Texture Features Integration for Unsupervised Image Segmentation”, ICISP 2014, Bangalore | 2014 |
| 16 | Edge Detection in Image – Overview | Tilottama Goswami, “Edge Detection in Image – An Overview”, National Conference on Emerging Trends in Soft Computing, Pune, Feb 2011 | 2011 |
| 17 | Content Based Image Retrieval using ACO | Tilottama Goswami et al., “Advancements in Content Based Image Retrieval towards ACO Metaheuristic Approach”, ICCVGIVP 2009, Nagpur | 2009 |
| 18 | Pattern Classifiers Overview | Tilottama Goswami et al., “Overview of Pattern Classifiers and their Application Areas”, IEEE International Conference on Soft Computing, Dec 2007 | 2007 |