Dr. A. Shahina
M.Tech., Ph.D
Professor and Head of the department
Department of Information Technology
Extn : 375
Shahina’s mission is to create artificial intelligence based systems that better the lives of people and society. Towards this, she works on applying machine learning, deep learning and reinforcement learning algorithms in the fields of healthcare and speech technology. She heads the Machine Intelligence Research Lab (MIRL) at SSN.
Education and Experience
Shahina obtained her PhD in 2008 from the department of Computer Science and Engineering of IIT-Madras, India. She also has an M.Tech from IIT-Madras. She has more than 25 years of teaching and research experience, which began with 5 exclusive research years working as a project officer for a DRDO-sponsored project on speech processing at IIT-Madras.
Recent Research Interests
Shahina’s research group focuses on harnessing the potential of artificial intelligence to amplify human intelligence. The teams work on various projects that involve human brain and speech. They include converting thoughts to speech for the neurologically induced speech impairment, epilepsy detection and localization, diagnostic tools for neurodegenerative diseases, building speaker recognition and person authentication systems.
The research group currently has 4 research faculty, 9 research scholars, and 2 project associates
| S. No. | Title of the paper | Quartile | Impact Factor | WoS/ Scopus |
| 1 | A. Tamotia, D. S. Karmokar, R. Komal, K. K. Nawas, A. Shahina and A. Nayeemulla Khan, "Fusion of Multimodal Audio Data for Enhanced Speaker Identification Using Kolmogorov-Arnold Networks," in IEEE Access, vol. 13, pp. 87640-87653, 2025, doi: 10.1109/ACCESS.2025.3569606. | Q1 | 3.557 | WoS |
| 2 | S. Alagarsamy, V. Govindaraj, A. Shahina and D. Nagarajan, "Intelligent Multigrade Brain Tumor Identification in MRI: A Metaheuristic-Based Uncertain Set Framework," in IEEE Transactions on Artificial Intelligence, vol. 5, no. 11, pp. 5381-5391, Nov. 2024, doi: 10.1109/TAI.2024.3441520 | Q1 | 7.7 (citescore) | Scopus |
| 3 | Khadar Nawas K, A. Shahina, Keshav Balachandar, Maadeshwaran P, Devanathan N. G, Navein Kumar, A. Nayeemulla Khan: Scientific reports 14, 12513 (2024). https://www.nature.com/articles/s41598-024-62406-3 | Q1 | 4.6 | WoS |
| 4 | N. Ilakiyaselvan, A. Nayeemulla Khan, A. Shahina,” Reconstructed phase space portraits for detecting brain diseases using deep learning “, Biomedical Signal Processing and Control, Vol. 71 (2022) 103278. https://doi.org/10.1016/j.bspc.2021.103278 | Q1 | 5.076 | WoS |
| 5 | Sriya Ravi, Shreenidhi S, Shahina A, Ilakiselvan N, Nayeemulla Khan A, “Seizure Detection using Deep Learning on Recurrence Plots of EEG Signals”, Multimedia Tools and Applications, 81, 6585–6598 (2022). https://link.springer.com/article/10.1007/s11042-021-11608-2#citeas | Q1 | 3.6 | WoS &Scopus (2022) |
| 6 | Narayanan, M. Badri, Ramesh A. K, Gayathri K. S, Shahina. A, “Fake News Detection Using a Deep Learning Transformer Based Encoder-decoder Architecture”, Journal of Intelligent & Fuzzy Systems, vol. 45, no. 5, pp. 8001-8013, 2023. https://doi.org/10.3233/JIFS-223980 | Q2 | 1.737 | WoS |
| 7 | Abraham, J.V.T., Khan, A.N. & Shahina, A, “A deep learning approach for robust speaker identification using chroma energy normalized statistics and mel frequency cepstral coefficients”, Int J Speech Technol 26, 579–587 (2023). https://doi.org/10.1007/s10772-021-09888-y | Q1 | 3.4 (citescore) | Scopus |
| 8 | Varugeese A, Shahina A, Nawaz K, Nayeemulla Khan A, “EarNet: Biometric Embeddings for End-to-End Person Authentication System Using Transient Evoked Otoacoustic Emission Signals”, Neural Processing Letters 54, 21–41 (2022). https://doi.org/10.1007/s11063-021-10546-2 | Q2 | 2.908 | WoS |
| 9 | Mohamed Hashim C, Shahina A, Badri Narayanan M, and Nayeemulla Khan A, “End to end speech recognition of Tamil language”, Intelligent Automation and Soft Computing, Vol.32, No.2, pp. 1309-1323, 2022. https://doi.org/10.32604/iasc.2022.022021 | Q3 | 1.647 | WoS & Scopus (2022) |
| 10 | S. Uma Maheswari, A. Shahina, A. Nayeemulla Khan, “Understanding Lombard Speech: A Review of compensation techniques towards improving Speech Based Recognition Systems”, Artificial Intelligence Review, 54, pages 2495–2523 (2021) Sep. 2020 https://doi.org/10.1007/s10462-020-09907-5 | Q1 | 12 | WoS |
| 11 | R. John Wesley, A. Nayeemulla Khan, and A. Shahina, “Phoneme classification in reconstructed phase space with convolutional neural networks”, Pattern Recognition Letters, Volume 135, July 2020, pp. 299-306. https://doi.org/10.1016/j.patrec.2020.05.002 | Q1 | 5.1 | WoS |
| 12 | S. Uma Maheswari, Rishickesh Ramesh, A. Shahina, A. Nayeemulla Khan, “A Study on the Impact of Lombard Effect on Recognition of Hindi Syllabic Units Using CNN Based Multimodal ASR Systems”, Archives of Acoustics, Vol. 45, No. 3, pp. 419–431 (April 2020). 10.24425/aoa.2020.134058 | Q3 | 1.34 | WoS |
| 13 | Ilakiyaselvan, A. Nayeemulla Khan, A. Shahina, “Deep learning approach to detect seizure using reconstructed phase space images”, Journal of Biomedical Research (Scopus indexed), 2020 34(3): 238–248. DOI: 10.7555/JBR.34.20190043 | Q2 | 2.2 | WoS |
| 14 | N. Radha, A. Shahina, P. Prabha, B.T. Preethi Sri, A. Nayeemulla Khan, “An Analysis of The Effect of Combining Standard and Alternate Sensor Signals on Recognition of Syllabic Units for Multimodal Speech Recognition”, Pattern Recognition Letters, Volume 115 (2018), 2018, Pages 39-49. https://doi.org/10.1016/j.patrec.2017.10.011 | Q1 | 5.1 | WoS |
| S. No | Fund | Sanctioned Amount | Duration | P.I/ Co P.I | Project Details |
| 1 | ANRF | Rs.1966660 | 2023-2026 | P.I: Dr. A. Shahina Co P.Is: Dr. T. T. Mirnalinee, Dr. A. Nayeemulla Khan, Dr. Deva Prasad | Dhi-Vach: A Brain-Computer Interface System Converting thoughts to Speech for Speech-Impaired Patients with neurodegenerative Diseases |
| 2 | ST-Micro Microelectronics | Rs.2700000 | 2024-2027 | P.I: Dr. A. Shahina Co P.Is: Dr. V. Durgadevi, Dr. K. S. Gayathri, Dr. A. Saravanan | Development of deep learning models for automatic detection and classification of multiple sleep disorders from multimodal data using wearable charge transfer ST QVar multisensor. |
| 3 | IndiaAI, MeitY | Rs. 100000 | 2024-25 | Guide: Dr. A. Shahina B. Tech student: Mythreya Kesavan | Innerspeech Classification using EEG signals |
| 4 | IndiaAI, MeitY | Rs. 100000 | 2024-25 | Guide: Dr. A. Shahina B. Tech student: Sanjeevini R | Analysing Tremors and Gait Patterns for Early Detection of Motor Disorder Symptoms in Neurodegenerative Disease |
| 5 | IndiaAI, MeitY | Rs. 100000 | 2024-25 | Guide: Dr. A. Shahina B. Tech student: Harish Ramalingam | Innerspeech Classification using EEG signals (Real Time Applications) |
| 6 | Tamil Nadu State Council for Science and Technology | Rs. 7000 | 2024 | Guide: Dr. A. Shahina B. Tech students: Shravanthi, Pooja | A deep learning approach for automatic detection and localization of Epilepsy. |
| S. No | Fund | Sanctioned Amount | Duration |
| 1 | ANRF | Rs.1966660 | 2023-2026 |
| 2 | ST-Micro Microelectronics | Rs.2700000 | 2024-2027 |
| S. No. | Project Details | Agency | Sanctioned amount | Duration | Status |
| 1 | Development of TEXT-to-SPEECH SYSTEM in Indian Languages: High- quality text-to-speech synthesis and small footprint TTS integrated with disability aids. (A consortium project with IIT Madras as Team Leader) Co-P.I – Dr. A. Shahina, Dr. P. Vijayalakshmi, P.I – Dr. T. Nagarajan | Ministry of Communication & Information Technology (MCIT), Government of India, New Delhi | Rs.77,00,000 | 2012 – 2017 | Completed |
| 2 | An IoT and Deep Learning Based Cardiac Disease Prediction System as a Diagnostic Aid Using Multiple Physiological System Co-P.I – Dr. A. Shahina, Dr. Priyadarshini, Dr. C. Jackson, Dr. A. Khader, P.I – Dr. S. Urooj | Ministry of Education, KSA | Rs.5,54,094 | 2023 | On-going |
| 3 | Person Authentication Using Transient Evoked Otoacoustic Emission (TEOAE) Signals With Deep Learning Neural Network Architectures P.I – Dr. A. Shahina Co P.I – Dr. Mirnalinee | SSN Trust | Rs. 1,20,000 | 2020-2022 | Completed |
| 4 | Building a robust speaker recognition system using deep neural networks Co-P.I – Dr. A. Shahina P.I – Dr. S. Umamaheswari | SSN Trust | Rs. 3,00,000 | 2018-2019 | Completed |
| 5 | Audio-Visual Speech Recognition System for Tamil CV Units Co-P.I – Dr. A. Shahina P.I – Dr. N. Radha | SSN Trust | Rs. 2,50,000 | 2018-2021 | Completed |
| 6 | Anatomical Vibration Sensor Speech Corpus for Speech Applications in Noisy Environments P.I – Dr. A. Shahina Co P.I – Dr. P. Vijayalakshmi, Dr. T. Nagarajan | SSN Trust | Rs. 1,23,000 | 2010-2012 | Completed |
| 7 | Design of lab model of an improved speech processor for cochlear implants P.I – Dr. P. Vijayalakshmi Co P.I – Dr. A. Shahina, Dr. T. Nagarajan | SSN Trust | Rs 80,000 | 2010-2012 | Completed |
| 1 | Renuka Botwe Kakasaheb | Developing Brain-Computer Interface Systems for Patients with Neurological Disorders | Ongoing |
| 2 | Mohamed Hashim C | Dependent Speech Recognition Under Constrained Conditions for Under-Resourced Languages Tamil and Urdu | 2023 completed |
| 3 | Umamaheswari S | Lombard Effect Compensation for Speech and Speaker Recognition Systems Using Deep Learning Neural Networks | 2021 completed |
| 4 | Radha N | A Multimodal Approach to Develop Speech Recognition Systems, December | 2020 completed |