Dr. S. Angel Deborah is an Assistant Professor in the Department of Computer Science and Engineering at SSN School of Engineering, Shiv Nadar University, Chennai. She earned her Ph.D. from Anna University and has over 14 years of teaching and research experience. She was a Short-Term Scholar at Carnegie Mellon University (CMU), Pittsburgh, USA, where she conducted research in Quantum Computing and Quantum Machine Learning under the mentorship of Dr. Raj Reddy and guidance of Dr. Rita Singh.

Her research interests encompass Quantum Computing, Quantum Machine Learning, Artificial Intelligence, Natural Language Processing, Machine Learning, Internet of Things, and Immersive Technologies (AR/VR). She has published over 90 research papers in leading international journals and conferences, including those published by Springer, IEEE, ACL, IOS Press, and MDPI, and has contributed to several externally funded research and industry consultancy projects supported by organizations such as TNSCST, Caterpillar India, HCL, Tyqee Solutions, and SSN Institutions.

Dr. Angel Deborah has mentored over 50 funded student projects, guided award-winning innovation teams, and holds one granted Indian patent with multiple patents filed in the areas of artificial intelligence, immersive technologies, healthcare, and assistive technologies. She is a professional member of ACM and IEEE and previously served as the Treasurer and later Secretary-cum-Treasurer of the ACM Chennai Chapter. Her research is focused on developing intelligent, scalable, and socially impactful computing solutions that address real-world challenges through emerging technologies.

Work Experience

Experience: 14 yrs and 10 months of Teaching & Research (SSNCE, CMU)

• July 2026 – till date, Assistant Professor,  Department of CSE, SSN School of Engineering, Shiv Nadar University, Chennai
• September 2024 – December 2024,  Short Term Scholar at Carnegie Mellon University, Pittsburgh, USA
• September 2011 – June 2026,  Assistant Professor Department of CSE, SSN College of Engineering, Chennai

Projects

1. Ongoing

1. “Voice Enabled Braille Interpretation Pad”, PIs: Dr.S.Rajalakshmi, Dr.S.Angel Deborah – Rs.0.7 lakhs. Duration: 2025-2026 – Funding Agency: TAMILNADU STATE COUNCIL FOR SCIENCE AND TECHNOLOGY – Innovation and Product Development (TNSCST IPD)

2. Completed

1. “Adverse Weather Modelling using LiDAR data”, PIs: S.Rajalakshmi, Dr.S.Angel Deborah – Rs. 2.40 lakh – Duration: 2024-2025 – Funding Agency: Caterpillar India Engineering Solutions Private Limited
2. “A voice enabled interactive learning system for visually impaired, PIs: Dr.A.Beulah, Dr.S.Angel Deborah, S.Rajalakshmi – Rs. 1.35 lakh – Duration: 2023- 2025 – Funding Agency: SSN Trust
3. “Glass Cleaning Robot for High-Rise Buildings”, PIs: Dr.T.T. Mirnalinee, Dr. K.R. Sarath Chandran, Dr. S. Angel Deborah, Dr. Satheesh Kumar – Rs. 2.58 lakh – Duration: 2023-2024- Funding Agency: Tyqee Solutions, India
4. “Training & Capstone Project for HCL Employees”, Dr. S. Angel Deborah – Rs 0.10 lakh – Duration: 2022- 2023 – Funding Agency: HCL, India
5. “Scalable Mobile Application for Performing Full Text Search(FTS)in SQLiite Database”, PIs: Dr.Chitra Babu, Dr.S.Rajalakshmi, Dr.S.Angel Deborah – Rs. 1.87 lakh – Duration: 2022-2023 – Funding Agency: Caterpillar India Engineering Solutions Private Limited
6. “Fine-grained Emotion Recognition System for Counselling”, PIs: Dr.S.Angel Deborah, Dr.S.Rajalakshmi, Dr. M.Saritha, Dr. R.s. Milton – Rs. 1.45 lakh – Duration: 2020- 2022 – Funding Agency: SSN Trust
7. Guided around 52 student funded projects of grant value Rs. 10.36 lakhs during 2013 – 2025 – Funding Agency: SSN Trust
8. Mentored a student team for the project “Virtual Reality-Based Soft Skill Training and Tracking System Using Machine Learning,” funded by the Tamil Nadu Skill Development Corporation (TNSDC) under the Niral Thiruvizha 2.0 initiative. The project was shortlisted from over 15,000 participating teams and secured ₹0.10 lakh in funding. Duration: 2024–2025.

Publications

1. Journal Publications

1. Rita Singh, Angel Deborah S, “Quantum-Accelerated Artificial Intelligence for Edge Devices: a Review of Encodings, Models, Hybrid Architectures, and NISQ-era Realities”, Electronics, MDPI, 15(13), June 2026.
2. Rajalakshmi Sivanaiah, Angel Deborah S, Vishal Sachan, Bhuvnesh Magotra, “REPEN a Novel Approach for Reputation Enhancement in Blockchain-based e-commerce Recommender Systems”, Cluster Computing,Springer,29(365): 1-23, June 2026.
3. Rajalakshmi S, Nishaanth R, Shrijith M R, Angel Deborah S, “Multimodal Book Reader with Multilingual Support”, Multimedia Tools and Applications,Springer,85(75): 1-50, Feb 2026.
4. Thejasini A, Aanooh Muhil Dev, Angel Deborah S, Rajalakshmi S, “IoT based Automated Pest Detection and Alert System”,Indian Journal of Natural Sciences,16(91): 99426-99434, August 2025.
5. Rajalakshmi Sivanaiah, Angel Deborah S, Krupa Elizabeth Thannickal, Sanmati Pirabahar, “Depression and post traumatic stress disorder analysis with multi-modal data”, IAES International Journal of Artificial Intelligence(IJ-AI), 14 (3): 2358-2366, June 2025.
6. Rajalakshmi Sivanaiah, Angel Deborah S, Sushanth Dilli Baskar, Swathika Durairaj, “Fake News Detection in Low Resource Language Using Machine Learning Techniques and SMOTE”, Mapana – Journal of Sciences, 23 (4): 121-136, December 2024.
7. Angel Deborah S, Rajalakshmi S, Milton R S and Mirnalinee T T, “Fossil Fuel Emission Prediction System Using Multiple Kernel Gaussian Process”, Global NEST Journal,27 (1): 1-7, Nov 2024.
8. S Rajalakshmi, Jassem M, Amaan Meer, Angel Deborah S, “Eye Disease Detection in Retinal Images Using Deep Transfer Learning Techniques”,INFOCOMP Journal of Computer Science, 23 (1): 1-12, 2024.
9. Angel Deborah S, Rajalakshmi S , Beulah A , Vignesh Hariharan K , Santhosh.J, Santhosh S, Sreehari R and Sri Krishna M, “Smart Wildlife Vehicle Collision Detection System”, Indian Journal of Natural Sciences,15(83):71067-71076, April 2024.
10. Micheal Berdinanth, Syed Samah , Shudhesh Velusamy,Angel Deborah S and Rajalakshmi Sivanaiah, “Analysis of traditional machine learning approaches on heart attacks prediction”, Romanian Journal of Information Technology and Automatic Control, 34(1): 23-30, March 2024.
11. Ujjwel Balwal, Angel Deborah S, Rajalakshmi S and Saritha M, “Crop Quality Prediction using Image Processing”, Indian Journal of Natural Sciences, 13(75): 51271- 51278, 2022.
12. Ujjwel Balwal, Varshini Balaji, Sivakami S , Rajalakshmi S, Angel Deborah S and Saritha M, “Automatic Forest Fire Detection using Drones and Deep Learning Techniques”, Indian Journal of Natural Sciences, 13(74): 0976 – 0997, 2022.
13. Kavithasri A, Saritha M,  Rajalakshmi  S, Angel  Deborah  S,  Aishvarya S “Automated Vehicular Accident Detection and Notification System”, International Journal of Natural Science, TR Vol.13(74), IF:1.988, ISSN: 0976-0997, October 2022, pp. 48645-48652.
14. Angel Deborah S, S. Milton Rajendram, T. T. Mirnalinee, Rajalakshmi S, “Contextual emotion detection on text using gaussian process and tree based classifiers” Intelligent Data Analysis, IOS Press, : 26(1), 119-132, 2022.
15. Angel Deborah S, T. T. Mirnalinee, S. Milton Rajendram, “Emotion Analysis on Text Using Multiple Kernel Gaussian…” Neural Processing Letters :53(2), 1187-1203, 2021.
16. Saritha M, Rajalakshmi S , Angel Deborah S, Milton R S, Thirumla Devi S, Vrithika M, Krishnap Priya G B, “RFID-Based Traffic Violation Detection and Traffic Flow Analysis System”, International Journal of Pure and Applied Mathematics, 118(20): 2018.
17. Angel Deborah S, Anirudh T S, Aswin Kumar S Charan S, “Digital Agriculture and market price analysis based on Na¨ıve Bayes classifier”, International Journal of Pure and Applied Mathematics, 109(8):161-168, 2016.
18. B Hariharan, R Krithivasan, Angel Deborah S, “Prediction of Secondary School Students Alcohol using Random Forest”, International Journal of Computer Applications, 149: 21-25, 2016.
19. Angel Deborah, S., R.S.Milton and S.Hannah, “A Survey of Emotion Analysis” Middle-East Journal of Scientific Research, 24: 32-38, May 2016.
20. Angel Deborah, S., “Comparison of RBF-NN and Updated Dynamic Learning Algorithm in INS and GPS Data Integration for Land Vehicle Navigation” International Journal of Pure and Applied Mathematics, 101(5): 831-841, 2015.
21. Thiageshwaran, D., Vignesh, S., Sakthivel Murugan, S., Sarath Chandran, K.R., and Angel Deborah, S., “An integrated augmented reality system with human motion tracking analysis” International Journal of Applied Engineering Research, 10(34): 27195–27200, 2015.
22. Satish, P., Naveen, H., Naren, T.K., Vidhyalakshimi, S., and Angel Deborah, S., “Home Automation Systems – A Study” International Journal of Computer Applications, 116(11): 11–18, 2015.
23. Vishal Ramaswamy, C.V., and Angel Deborah, S., “A Survey of Robotic Hand-Arm Systems” International Journal of Computer Applications, 109(8): 26 – 31, 2015.
24. Malleswaran, M., Vaidehi, V., Angel Deborah, S., and Manjula.S., “Comparison of RBF and BPN Neural Networks Applied in INS and GPS Integration for Vehicular Navigation” International Journal of Electronics Engineering Research, 2(5): 753-763, 2010.
25. Malleswaran, M., Vaidehi, V., and Angel Deborah, S., “ART-CPN Based Aircraft Navigation by GPS/INS Data Integration” CiiT International Journal of Artificial Intelligent Systems and Machine Learning, 3(1):2011.
26. Malleswaran, M., Vaidehi, V., and Angel Deborah, S., “Data Fusion Using Multi-Layer Feed Forward Neural Networks for Land Vehicle Navigation” International Journal of Engineering Science and Technology, 2(12): 7676- 7690, 2010

2. Conference/ Patent

• Conference Proceedings

1. S. Angel Deborah, T. T. Mirnalinee, Srikrishnan V, Srikanth S, Sanjay M, “Standalone VR-based softskill Enhancement and Tracking System”, 2026 12th International Conference on Communication and Signal Processing (ICCSP),IEEE Xplore, 1028-1033, June 2026.
2. Rajalakshmi Sivanaiah, Angel Deborah S, Mirnalinee T.T, Krishna Varun R, Krishnaraj N, “Quantum-Enhanced Deep Belief Networks for Financial Fraud Detection”, EPJ Web of Conferences, QUICK’26, 360(01016): 1-12, March 2026.
3. Karthik Raja C, Rithika S, Rajalakshmi Sivanaiah, Angel Deborah S, “Bridging Cold Start and Continuation Challenges in Music Systems using Quantum Techniques”, EPJ Web of Conferences, QUICK’26,360(01004): 1-12, March 2026.
4. Rajalakshmi, S. Angel Deborah, Nikilesh Jayaguptha, Samyuktaa Sivakumar, Rohan R, H. Shaun Allan, “Medical image captioning in tamil using blip mode”, Third International Conference on Speech and Language Technologies for Low-Resource Languages. SPELLL 2024, Springer,2656: 525-532, November 2025.
5. Rajalakshmi Sivanaiah, S. Angel Deborah, RA Thirumurugan, Vishal Muralidharan, Ananya Raman, “Fake News Detection in Dravidian Languages using Transformers and Ensembles”, Third International Conference on Speech and Language Technologies for Low-Resource Languages. SPELLL 2024.,Springer, 2656: 609-624, November 2025.
6. Avaneesh Koushik, S. Angel Deborah, S. Rajalakshmi, “A Comparative Study of LLM-based Techniques for Fake News Classification in Tamil”, Third International Conference on Speech and Language Technologies for Low-Resource Languages. SPELLL 2024., 2656:658-670, November 2025.
7. Rajalakshmi Sivanaiah, S. Angel Deborah, T. T. Mirnalinee, Vishal Subramoniam, Sudarshan Olirvel,, athvika K. Shankar, Bhavana Balasubramanian, “Fake News Detection in Dravidian Languages: Comparative Analysis of Transformer Models, Ensemble Techniques, Traditional Classifiers, and Sentiment Influence on Prediction Performance”, Third International Conference on Speech and Language Technologies for Low-Resource Languages. SPELLL 2024. , Springer, 2656: 625-644, November 2025.
8. Vishal Subramoniam, Rajalakshmi Sivanaiah, Angel Deborah S, “Exploring Vision-Language Models for Medical VQA on Gastrointestinal Images: a lora Fine-tuning study”, MediaEval’25: Multimedia Evaluation Workshop, 1-5, November 2025.
9. Anand, Sowmya, Tanisha Sriram, Rajalakshmi Sivanaiah, Angel Deborah S and Mirnalinee Thankanadar. “DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion Detection.” In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pp. 222-227, August 2025.
10. Ravindran V, Rajalakshmi  Sivanaiah,  and   Angel  Deborah  S,  “RSSN at SemEval-2025 Task 11: Optimizing Multi-Label Emotion Detection with Transformer-based Models and Threshold Tuning”, In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 773–779, Vienna, Austria. Association for Computational Linguistics, August 2025.
11. Vishal S, Rajalakshmi Sivanaiah, and Angel Deborah S, “TechSSN3 at SemEval-2025 Task 11: Multi-Label Emotion Detection Using Ensemble Transformer Models and Lexical Rules”, In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 186–192, Vienna, Austria. Association for Computational Linguistics, August 2025.
12. Pooja Premnath, Venkatasai Ojus Yenumulapalli, Parthiban Mohankumar, Rajalakshmi Sivanaiah, and Angel Deborah S, “TECHSSN at SemEval-2025 Task 10: A Comparative Analysis of Transformer Models for Dominant Narrative-Based News Summarization”, In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 2205–2212, Vienna, Austria. Association for Computational Linguistics, August 2025.
13. M Saipranav, Jaswanth Sridharan, Gautham Narayan G, Angel Deborah S, Rajalakshmi S, Mirnalinee T T and Samyuktaa Sivakumar, “Clef 2024 Joker Task 2: Using Bert And Random Forest Classifier for Humor Classification According To Genre And Technique”, 15th CLEF Conference and Labs of the Evaluation Forum, Information Access Evaluation meets Multilinguality,Multimodality, and Visualization, 3740: 1902-1908, September 2024.
14. Rajalakshmi Sivanaiah, Sushmithaa Pandian S, Subhankar, Samyuktaa Sivakumar, R Rohan, Angel Deborah S, “Self-harm Detection from Texts: A Comparative Study Utilizing BERT, Machine Learning, and Deep Learning Approaches, ICCIDS 2024, IFIP AICT, 110-123, August 2024.
15. Shreejith Babu G, Ravindran V, Aashika Jetti, Rajalakshmi Sivanaiah, Angel Deborah S, “TECHSSN at SemEval-2024 Task 1: Multilingual Analysis for Semantic Textual Relatedness using Boosted Transformer Models”, In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 907–912, June 2024, Mexico City, Mexico, Association for Computational Linguistics.
16. Venkatasai Ojus Yenumulapalli , Pooja Premnath, Parthiban Mohankumar, Rajalakshmi Sivanaiah, Angel Deborah S, “TECHSSN1 at SemEval-2024 Task 10: Emotion Classification in Hindi-English Code-Mixed Dialogue using Transformer-based Models”, In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 833–838, June 2024, Mexico City, Mexico. Association for Computational Linguistics.
17. Rohith Arumugam, Angel Deborah S, Rajalakshmi Sivanaiah, Milton R S, and Mirnalinee T T, “SSN ARMM at SemEval-2024 Task 10: Emotion Detection in Multilingual Code-Mixed Conversations using LinearSVC and TF-IDF”, In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 730–736, June 2024, Mexico City, Mexico, Association for Computational Linguistics.
18. Ravindran V, Shreejith Babu G, Aashika Jetti, Rajalakshmi Sivanaiah, Angel Deborah S, Mirnalinee Thankanadar, and Milton R S, “TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations”, In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 763–769, June 2024, Mexico City, Mexico, Association for Computational Linguistics.
19. Rajalakshmi Sivanaiah, Subhankar Suresh, Sushmithaa Pandian, Angel Deborah S, “Bridging the Language Gap: Transformer-Based BERT for Fake News Detection in Low-Resource Settings”, In: Chakravarthi, B.R., et al. Speech and Language Technologies for Low-Resource Languages. SPELLL 2023.Communications in Computer and Information Science, vol 2046. Springer, Cham.Published in April 2024, India.
20. Pooja Premnath, Venkatasai Ojus Yenumulapalli, Rajalakshmi Sivanaiah and Angel Deborah S, “Optimizing Visual Pairings: A CLIP Framework for Precision News Image Rematching”, In MediaEval. 2023., MediaEval’23: Multimedia Evaluation Workshop, February 1–2, 2024, Amsterdam, The Netherlands and Online, ISSN 1613-0073 CEUR Workshop Proceedings (CEUR-WS.org).
21. Ramanathan Nishaanth, Rajalakshmi Sivanaiah, Angel Deborah S and Mirnalinee Thanka Nadar Thanagathai, “TechSSN at SemEval-2023 Task 12: Monolingual Sentiment Classification in Hausa Tweets”, In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pp. 1190-1194, July 2023, Toronto, Canada, Association for Computational Linguistics.
22. Vaidhegi D, Priya M , Rajalakshmi Sivanaiah, Angel Deborah S and Mirnalinee Thanka Nadar Thanagathai, “SSNTech2@ LT-EDI-2023: Homophobia/Transphobia Detection in Social Media Comments Using Linear Classification Techniques”, InProceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion 2023 Sep,Bulgaria, pp. 166-171,.Association for Computational Linguistics.
23. Venkatasai Ojus Yenumulapalli, Vijai Aravindh R, Rajalakshmi S, Angel Deborah S , “TechSSN1@LT-EDI: Depression Detection and Classification using BERT Model for Social Media Texts”, In Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion, LT-EDI 2023, conducted as a part of 14th International Conference Recent Advances in Natural Language Processing (RANLP), pages 149–154, Varna, Bulgaria, Sep 7, 2023, Association for Computational Linguistics.
24. Krupa Elizabeth Thannickal, Sanmati P, Rajalakshmi S, Angel Deborah S, “TechSSN4@LT-EDI-RANLP2023: Depression Sign Detection in Social Media Postings using DistilBERT Model”, In Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion, LT-EDI 2023, conducted as a part of 14th International Conference Recent Advances in Natural Language Processing (RANLP), pages 239–243, Varna, Bulgaria, Sep 7, 2023.Association for Computational Linguistics.
25. Sathvika V S, Vaishnavi S, Angel Deborah S , Rajalakshmi S and Mirnalinee T T, “The Mavericks@LT-EDI: Detection of Signs of Depression from Social Media Text Quotes using Naive Bayes Approach”, In Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion, LT-EDI 2023, conducted as a part of 14th International Conference Recent Advances in Natural Language Processing (RANLP), pages 244–249, Varna, Bulgaria, Sep 7, 2023.
26. Hema M, Anza  Prem,  Rajalakshmi  S,      Angel Deborah S, “Athena@DravidianLangTech: Abusive Comment Detection in Code-Mixed Languages using Machine Learning Techniques”, In proceedings of Third Workshop on Speech and Language Technologies for Dravidian Languages, conducted as a part of 14th International Conference Recent Advances in Natural Language Processing (RANLP), pages 147–151, Varna, Bulgaria, Sep 7, 2023.
27. Rajasekar S, Srilakshmisai  K,Rajalakshmi  Sivanaiah,             Angel Deborah S and Mirnalinee Thanka Nadar Thanagathai, “Avalanche@DravidianLangTech:Abusive Comment Detection in Code Mixed Data Using Machine Learning Techniques with UnderSampling”, In proceedings of Third Workshop on Speech and Language Technologies for Dravidian Languages, conducted as a part of 14th International Conference Recent Advances in Natural Language Processing (RANLP), pages 166–170, Varna, Bulgaria, Sep 7, 2023.
28. Samah Syed, Angel Deborah S, “Leveraging Generative AI: Improving Software Metadata Classification with Generated Code-Comment Pairs”, Forum for Information Retrieval Evaluation, December 15-18, 2023, India, CEUR Workshop Proceedings (CEUR-WS.org)
29. Rohith Arumugam S, Angel Deborah S, “Enhancing Binary Code Comment Quality Classification: Integrating Generative AI for Improved Accuracy”, Forum for Information Retrieval Evaluation, December 15-18, 2023, India, CEUR Workshop Proceedings (CEUR-WS.org)
30. Rajalakshmi Sivanaiah, Nishaanth Ramanathan, Shajith Hameed, Rahul Rajagopalan, Angel Deborah  Suseelan,  Mirnalinee  Thanka  Nadar Thanagathai, “Fake News Detection in Low-Resource Languages” , Proceedings of the 1st International Workshop on Fake News Detection in Low-Resource Languages (Regional-Fake 2022), as a part First International Conference on Speech and Language Technologies for Low-Resource Languages, pages 324 – 331, May 2023, Communications in Computer and Information Science, vol 1802, Springer.
31. K. Akilan, Anusha Chandrasekaran, Arunesh Kumar, S. B. Jashwaanth, A. Joshua, S. Rajalakshmi, S. Angel Deborah, “Customized Internet of Things-Based Bus Tracking and Management System”, J. D. Peter et al. (eds.), Disruptive Technologies for Big Data and Cloud Applications, Lecture Notes in Electrical Engineering 905, pp-601-611, August 2022
32. Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram and Mirnalinee T T, “TechSSN at SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification using Deep Learning Models” , Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), as a part of 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), Seattle, Washington, pages 571 – 574, July 14-15, 2022 Qc ACL 2022 Association for Computational Linguistics.
33. Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram and MirnalineeT T, Ramdhanush Venkatakrishnan, “TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models”, Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), as a part of 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), Seattle, Washington, pages 851 – 855, July 14-15, 2022 Qc ACL 2022 Association for Computational Linguistics 10.18653/v1/2022.semeval-1.118
34. Karun Anantharaman, Divyasri K, Jayannthan PT, Angel Deborah S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram and Mirnalinee T T, “SSN MLRG1 at SemEval-2022 Task 10: Structured Sentiment Analysis using 2-layer BiLSTM”, Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), as a part of 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), Seattle, Washington, pages 1324 – 1328, July 14-15, 2022 Qc ACL 2022 Association for Computational Linguistics .
35. Karun Anantharaman, Rajalakshmi S, Angel Deborah S, Saritha M, Sakaya Milton R , “SSN MLRG1@LT-EDI-ACL2022: Multi-Class Classification using BERT models for Detecting Depression Signs from Social Media Text” , In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, pp. 296-300, Dublin, Ireland. Association for Computational Linguistics, May 2022.
36. Sarika Esackimuthu, Shruthi H, Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton R, Mirnalinee T T, “SSN MLRG3 @LT-EDI-ACL2022-Depression Detection System from Social Media Text using Transformer Models”,In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, pp. 196-199, Dublin, Ireland. Association for Computational Linguistics, May 2022.
37. PraveenKumar V , Prathyush S , Aravind P, Angel Deborah S, Rajalakshmi S, Milton R S, Mirnalinee T T, “SSN ARMM@ LT-EDI -ACL2022: Hope Speech Detection for Equality, Diversity, and Inclusion Using ALBERT model”, ,In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, pp. 172-176, Dublin, Ireland. Association for Computational Linguistics, May 2022.
38. Varsini S, Kirthanna Rajan, Angel Deborah S, Rajalakshmi S, R.S.Milton, T.T.Mirnalinee, “ Varsini and Kirthanna@DravidianLangTech-ACL2022-Emotional Analysis in Tamil”,In Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages, pages 165-169, Dublin, Ireland. Association for Computational Linguistics, May 2022.
39. Shruthi Hariprasad, Sarika Esackimuthu, Saritha Madhavan Rajalakshmi Sivanaiah, Angel Deborah S, ”SSN MLRG1@DravidianLangTech-ACL2022: Troll Meme Classification in Tamil using Transformer Models”,In Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages, pages 132-137, Dublin, Ireland. Association for Computational Linguistics, May 2022.
40. Ayush Nanda, Abrit Pal Singh, Aviansh Gupta, Rajalakshmi S, Angel Deborah S, S Milton Rajendram, Mirnalinee TT, “TECHSSN at HAHA@ IberLEF 2021: Humor Detection and Funniness Score Prediction using Deep Learning” Proceedings of IberLEF 2021, M´alaga, Spain, September 2021.
41. Talapala Sneha, Ssneha Balasubramanian, R Vaishali, A Beulah, Angel Deborah S, “Home Security System for the Hearing Impaired” Proceedings of2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP), IEEE Xplore: 1-5, SSN College of Engineering, Chennai, India, September 2021.
42. Rajalakshmi S, Angel Deborah S, S Milton Rajendram, Mirnalinee TT, Ayush Nanda, Abrit Pal Singh, Aviansh Gupta, “TECHSSN at SemEval-2021 Task 7: Humor and Offense detection and classification using ColBERT embeddings” Proceedings of Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021, Association for Computational Linguistics): 1185–1189, Bangkok, Thailand (online), August 5–6, 2021.
43. S. Angel Deborah, K.R.Sarath Chandran Praveen Kumar V, Aravind P, Nachammai Pooja Devi S, Prathyush S, ‘Driver Assistance System using Raspberry Pi and Haar Cascade Classifier” Proceedings of the International Conference of Intelligent Computing and Control Systems, IEEE Xplore: 1185–1189, Bangkok, Thailand (online), August 5–6, 2021.
44. Rajalakshmi S, Angel Deborah S, Soundarya G, Varshitha V, ShyamSundhar K, “Child safety wearable device” Advances in Intelligent Systems and Computing, Springer, vol 1163, 2021.
45. Mohanram P B, Karthik Viswanath S, Mohamed Musaraf P M,Karthikeyan R, Sarath Chandran K R, Angel Deborah S , “IoT based Smart Waste Management Reporting and Monitoring System” Proceedings of the 5th International Conference on Computer, Communication and Signal Processing (ICCCSP – 2021), IEEE Xplore:208-215, SSN College of Engineering, Chennai, India, 2021.
46. M.S. Pranathy, S. Ranjana, P. S. Reenu Rita, S. Rajalakshmi, S Angel Deborah, “Internet of Things enabled Smart Dustbins using Capacitated Vehicle Routing” Proceedings of the 5th International Conference on Computer, Communication and Signal Processing (ICCCSP – 2021), IEEE Xplore :256-261, SSN College of Engineering, Chennai, India, 2021.
47. Sai Chitti V, Vasantharaman A, Sharrik Krishna S L, Sitharthan I, Shaheeen Basha S, Prabavathy B, S Angel Deborah , “Smart Warehouse Management System” Recent Trends in Renewable Energy Sources and Power Conversion. Springer Proceedings in Energy. Springer :99-114, 2021.
48. Sai Chitti V, Vasantharaman A, Sharrik Krishna S L, Sitharthan I, Shaheeen Basha S, Prabavathy B, S Angel Deborah , “Smart Warehouse Management System” Recent Trends in Renewable Energy Sources and Power Conversion, Springer Proceedings in Energy, Springer :99-114, SSN College of Engineering, Chennai, India, 2021.
49. Rajalakshmi S, Angel Deborah S, S Milton Rajendram, Mirnalinee T T, “TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings” Proceedings of the 14th International Workshop on Semantic Evaluation, Association of Computational Linguistics:2190-2196, Barcelona, Spain, December 2020.
50. Mohanasundar MK, Kevin J Thelly, Pranav Raveendran, Rajalakshmi S Angel Deborah S, “Student Attendance Manager Using Beacons and Deep Learning” Proceedings of the First International Conference on Advances in Physical Sciences and Materials, Journal of Physics: Conference Series, 2020.
51. Deepthi Prakash, Jay Vishaal J, Sourav Ghosh, Stephen Niranjan B, S Angel Deborah, K R Sarath Chandran, “Virtual Fashion Mirror” 4th International Conference on Computer, Communication and Signal Processing (ICCCSP – 2021), IEEE Xplore:1-4, SSN College of Engineering, Chennai, India, 2020.
52. UjjwelBalwal, Varshini Balaji, Sivakami K, Srinivasa arun, Yeragudupati, Angel Deborah S,Rajalakshmi S, Saritha M, “Neural network based forest surveillance system” First International Conference on Recent Trends in Clean Technologies for Sustainable Environment , SSN College of Engineering, Chennai, India, September 2019.
53. Angel Deborah S, Rajalakshmi S, S Milton Rajendram, Mirnalinee T T, Ujjwel Balwal, “Fossil fuel emission prediction system using machine learning techniques” First International Conference on Recent Trends in Clean Technologies for Sustainable Environment , SSN College of Engineering, Chennai, India, September 2019.
54. Rajalakshmi, Angel Deborah S, S Milton Rajendram, Mirnalinee T T, M.S. Pranathy, S. Ranjana, “Weather prediction and forecasting system using ensemble techniques” First International Conference on Recent Trends in Clean Technologies for Sustainable Environment, SSN College of Engineering, Chennai, India, September 2019.
55. Rajalakshmi S, Angel Deborah S, R.S Milton, Mirnalinee T T, “SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data” In Proceedings of the 13th International Workshop on Semantic Evaluation, Minneapolis, USA, published by Association for Computational Linguistics: 1233-1237, June 2019.
56. Logesh Balasubramanian, Harshini Sathish Kumar, Geetika Bandlamudi, Dyaneswaran Sivasankaran, Rajalakshmi S, Angel Deborah S, R.S Milton, T.T Mirnalinee, “TECHSSN at SemEval-2019 Task 6:Identifying and Categorizing Offensive Language in Tweets using Deep Neural Networks” In Proceedings of the 13th International Workshop on Semantic Evaluation, Minneapolis, USA, published by Association for Computational Linguistics: 749-754, June 6-7, 2019.
57. Angel Deborah S, Rajalakshmi S, R.S Milton and Mirnalinee T T , Hemanth D., Kumar V., Malathi S., Castillo O., Patrut B. (eds) Emerging Trends “Contextual Emotion Detection in Text using Ensemble Learning’ , International Conference on Computing and Expert Technology. COMET 2019. Lecture Notes on Data Engineering and Communications Technologies,Springer, March 2019(Received Best Paper Award).
58. Rajalakshmi S, Angel Deborah S, Soundarya G, Varshitha V, and ShyamSundhar K , “Safety Device for Children using IoT and Deep Learning Techniques” In: Suresh P., Saravanakumar U., Hussein Al Salameh M. (eds) Advances in Smart System Technologies. Advances in Intelligent Systems and Computing, Springer, Singapore, 2021
59. S Angel Deborah, S Rajalakshmi, Sivagami, Sounderyan, Sricharan, Sreenidhi, Uttam Raj, “Air Quality Detection And Intelligent route Suggestion using IOT And Data Analytics”, in Proceedings of International Conference on Mathematical Computer Engineering, VIT University, Chennai, November 2018.
60. A Kavithasri, S Aishvarya, M Saritha, S Rajalakshmi, S Angel Deborah, “Vehicle Accident Detection And Reporting System(VADARS)” In Proceedings of International Conference on Mathematical Computer Engineering, VIT University, Chennai, November 2018.
61. S Rajalakshmi, S Angel Deborah, K R Sarath Chandran, Varun Suresh, Priyadarshini J R, Vidya R, Priscilla Andrew, “Automatic Segregation Of Waste Using Sensors” in Proceedings of International Conference on Mathematical Computer Engineering, VIT University, Chennai, November 2018.
62. S Angel Deborah, Ms.Rajalakshmi S, Dr.R.S Milton and Dr.Mirnalinee T T,“SSN MLRG1 at SemEval2018Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection”, in Proceedings of the 12th International Workshop on Semantic Evaluation New Orleans, Louisiana, published by Association for Computational Linguistics, pp.324–328,June, 2018.
63. Rajalakshmi S, Angel Deborah S, R.S Milton and Mirnalinee T T, “SSN MLRG1 at SemEval2018 Task3: Irony Detection in English Tweets Using Multilayer Perceptron”, In Proceedings of the 12th International Workshop on Semantic Evaluation, New Orleans, Louisiana, published by Association for Computational Linguistics, pp.633–637, June 2018.
64. Angel Deborah S, S Milton Rajendram, T T Mirnalinee, “SSN MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression Model”, Proceedings of the 11th International Workshop on Semantic Evaluations, Vancouver, Canada, Association for Computational Linguistics, pp. 823-826, August 2017,
65. Angel Deborah S, S Milton Rajendram, T T Mirnalinee, “SSN MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process Classifier” Proceedings of the 11th International Workshop on Semantic Evaluations, Vancouver, Canada, Association for Computational Linguistics, pp. 709-712, August 2017.
66. Hans Krupakar, Keerthika Rajvel, Bharathi B, Angel Deborah S, Vallidevi Krishnamurthy, “A survey of voice translation methodologies- Acoustic Dialect Decoder” In International Conference On Information Communication and Embedded System, IEEE Xplore,Chennai ,India, pp.25-26, Feb. 2016.
67. Angel Deborah S, “Digitization of Polling Booth” In International Conference on Mathematical Computer Engineering, VIT University, Chennai, pp.75-76, December, 2015.
68. Angel Deborah S, “Digital Agriculture Using Decision Tree Algorithm”, In International Conference on Mathematical Computer Engineering, VIT University, Chennai, pp.68-70, December 2015.
69. Angel Deborah, S., “ FBCNN Based GPS/INS Data Integration using Fast Learning Algorithm” Proceedings of International Conference on Mathematical Computer Engineering, VIT Univeristy, Chennai, India, pp.156–161, Dec 2013.
70. Angel Deborah, S., “Analysis of Different Associative Memory Neural Network for GPS/INS Data Fusion”, International Conference on Computer Science and Information Technology, LNICST 84, Springer, pp.272-284, 2012.
71. Malleswaran, M., Vaidehi, V., and Angel Deborah, S., “CNN Based GPS/INS Data Integration using New Dynamic Learning Algorithm” International Conference on Recent Trends in Information Technology, Anna University, Chennai, India, IEEE Xplore, pp.211–216, June 2011.
72. Malleswaran, M., Vaidehi, V., Manjula, S., and Angel Deborah, S., “Performance Comparison of HONNs and FFNNs in GPS and INS Integration for Vehicular Navigation”International Conference on Recent Trends in Information Technology, Anna University, Chennai, India, IEEE Xplore, pp.223–228, June 2011.
73. Angel Deborah, S., and Malleswaran, M., “Analysis of Associative Memory NNs and Counter Propagation NNs for GPS/INS Data Fusion”, International Conference on Emerging Engineering Trends, Magna College of Engineering, Chennai, India, April 2011 ( Received Best Paper Award).
74. Malleswaran, M., Vaidehi, V., Angel Deborah, S., and Manjula, S., “Analysis of RBF and BPN Neural Networks by Integrating INS and GPS for Vehicular Navigation”, International Conference on Information and Communication Technology, Thiagarajar School of Management, Madurai, India pp. 45–50, Dec 2010.
75. Malleswaran, M., Vaidehi, V., Angel Deborah, S., and Manjula, S., “Integration of INS and GPS Using Radial Basis Function Neural Networks for Vehicular Navigation”, International Conference on Control, Automation, Robotics and Vision, Singapore, IEEE Xplore, pp. 2427–2430, Dec 2010.

• Patent Granted

Rithwin Siva, Nishant Mathew, R. Nidhi Bhandari, Varsha Bhargavi Dwarakanathan, A. Beulah, S. Rajalakshmi and Angel Deborah S, ”Braille Interpretation Pad” granted 29th January 2024 (Grant no: 504259 ).

• Patent Filed and Published

1. Angel Deborah, T. T. Mirnalinee, Swetha J and Sathvika V S has filed and published an Indian patent titled “AI based Virtual Reality System for Technical and Soft Skill Training” on 12th September 2025 (Application No.202541078422).
2. S. Angel Deborah ,Dr. S. Radha ,Dr. R. Hemalatha , Dr. M. Alagar(TNAU), Dr. V. Baskaran(TNAU), Sai Shashaank and Varun S. Roshan has filed and published an Indian patent titled “Early-Stage Red Palm Weevil Detector with Edge-Based Monitoring” on 3rd May 2025 (Application No.202541043033).
3. S. Angel Deborah, Dr. S. Rajalakshmi, Dr. M. Saritha, Dr. R. S. Milton, Ranjani, A. Sanjana and M. Pooja has filed and published an Indian patent titled “Touch Enabled Speech based Stress Detecting Kiosk” on 7th February 2025 (Application No.202541007628).
4. S. Angel Deborah, Dr. K. R. Sarath Chandran, Dr. T. T. Mirnalinee and Raghul Yadhav K has filed and published an Indian patent titled “AI-based Virtual Shopping Kiosk with Dynamic Planogram for Immersive Shopping Experience” on 2nd August 2024 (Application No.202441057684).

Awards

1. Secured First Rank in PG, 2011.
2. Best Paper Award in the International Conference on Emerging Engineering Trend, Chennai, India, April 2011.
3. Best Paper Award in the International Conference on Computing and Expert Technology, Chennai, March 2019.
4. Received Sponsorship from Sri Sivasubramaniya Nadar College of Engineering, Chennai to be a Short Term Scholar at Carnegie Mellon University, Pittsburgh, USA under the mentorship of Dr. Raj Reddy, Moza Bint Nasser University Professor, September 2024 – December 2024.

Area of Research

• Quantum Computing
• Machine Learning
• Natural Language Processing
• Internet of Things
• Immersive Technology