Biography
Dr. Rizwana Kallooravi Thandil is an accomplished academic and assistant professor with over 12 years of teaching experience at Sullamussalam Science College, Areekode. She is a U.G.C. NET- qualified professional (13870065) with expertise in Artificial Intelligence, Speech Signal Processing, and Machine Learning, highlighted by her groundbreaking PhD research on accented speech recognition in Malayalam. Dr. Rizwana has authored numerous Scopus-indexed publications, presented at international conferences, and serves as a reviewer for prestigious journals and conferences. Additionally, she has been appointed as a subject expert for the Ministry of Education's trilingual glossary initiative. Her passion lies in integrating advanced AI methodologies into practical applications and inspiring innovation in the field.
Qualification
Ph.D. • University of Calicut (2024)
Cognitive modeling of accented speech in Malayalam: exploring the impact of acoustic signal processing and deep learning techniques.
M.C.A • University of Calicut (2009)
Graded First Class with Honors (75%)
B.Sc. Computer Science, University of Calicut (2004)
Graded First Class (82%)
Class 12th • Board of Higher Education, Kerala (2001)
Graded First Class with Distinction (75%)
S.S.L.C • Board of Higher Education, Kerala (1999)
Graded First Class with Distinction (87%)
Specialization
Article In A Periodical
A hybrid cardiovascular disease prediction system using machine learning algorithms, CRC Press-Taylor and Francis,3/10/2021
Book Section
Speaker Independent Accent Based Speech Recognition for Malayalam Isolated Words: An LSTM-RNN Approach, Springer, 3/10/2022
Conference Proceedings
“Stock Market Prediction Using LSTM Networks” presented at The International Conference on Business and Technology (ICBTOxford’ 2024) at the University of Oxford, Oxford, UK on November 21-22, 2024.
“Deep Spectral Feature Representations via Attention Based Neural Network Architectures for Accented Malayalam Speech - A Low-Resourced language”, presented at the 4th International Conference on Data Analytics and Management (ICDAM-2023), organized jointly by London Metropolitan University, London, UK in association with the Karkonosze University of Applied Sciences, Jelenia Gora, Poland, Europe, Politécnico de Portalegre, Portugal, Europe and BPIT, GGSIPU, Delhi on 23rd – 24th June 2023.
“A Multi-Feature Analysis of Accented Multi-Syllabic Malayalam Words-a Low-Resourced Language ”,4th International Conference on Advances in Distributed Computing and Machine Learning(ICADCML-2023), Organized by the Department of Computer Science and Engineering, NIT Rourkela, Odisha, held on 15th – 16th January 2023
“End-to-End Unified Accented Acoustic Model for Malayalam – a Low Resourced Language”, SPELL 2022, Organized by the Department of Computer Science and Engineering, SSN College of Engineering, held on November 23-25 2022.
“E2E Accent-Robust ASR for Low Resourced Malayalam Language: A Feature-Based Investigation of LSTM-RNN and ML Approaches” presented at the International Conference on Computing and Communication Networks (ICCCN-2022) jointly organized by Manchester Metropolitan University, Manchester, United Kingdom & UNIVERSAL INOVATORS on 19th -20th November 2022.
“End-to-end Multi-Dialect Malayalam Speech Recognition Using Deep-CNN, LSTM-RNN and Machine Learning approaches” in the 5th International Conference on Computational Intelligence & Data Engineering (ICCIDE - 2022) in association with Springer organized by the School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India, during 12-13 August 2022.
“Analysis of Influential Features with Spectral Features for Modeling Dialectal Variation in Malayalam Speech using Deep Neural Networks”, Rizwana Kallooravi Thandil, KP Mohamed Basheer ,3rd International Conference on Data Analytics and Management (ICDAM-2022), organized jointly by The Karkonosze University of Applied Sciences, Poland in association with the University of Craiova Romania, Warsaw University of Life Sciences Poland and Tun Hussein Onn University Malaysia on 25th – 26th June 2022
“Qualitative Prediction and Recognition’s of Ongoing Human Action Sequences Using Deep Neural Networks”, Muneer V.K, Rizwana Kallooravi Thandil, Mohamed Basheer K.P, 3rd International Conference on Intelligent Sustainable Systems ICISS2020, 3-5 December 2020. Publication Partner - IEEE
“A Hybrid Cardiovascular Disease Prediction System Using Machine Learning Algorithms”, V. K. Muneer, N. Ramseena, Rizwana Kallooravi Thandil, K. P. Mohamed Basheer 2nd International Conference on Artificial Intelligence and Speech Technology, IGDTUW Delhi, 20 November 2020. Publication Partner - Taylor and Francis.
Automatic Speech Recognition System for Utterances in Malayalam Language, MESMAC International Conference at MES College, Mampad, 17 January 2019.
Integrating Memory Management with Non-Volatile Random-Access Memory and the Operating System Implications -An Analysis Advances in Computing, Communication and Application ACCA’13 on 20,21 November 2013.
Journal Article
“Parallel convolutional neural network and hybrid architectures for accented speech recognition in Malayalam” Rizwana Kallooravi Thandil, Muneer V.K, Premjith B, Iran J Comput Sci (2024).
“E2E accent-robust ASR for low-resourced Malayalam language: A feature-based investigation of LSTM-RNN and ML approaches”, Rizwana Kallooravi Thandil, KP Basheer, Muneer Variyam Kandy, 2024/3/25, AIP Conference Proceedings, Volume-2919, Issue-1,
“Empowering Accented Speech Analysis in Malayalam Through Cutting-Edge Fusion of Self Supervised Learning and Autoencoders”, Rizwana Kallooravi Thandil, Mohamed Basheer KP, Muneer V.K, International Journal of Intelligent Systems and Applications in Engineering, 2024, 12(9s), pp. 238–246
“Convolutional Neural Network-Based Automatic Speech Emotion Recognition System for Malayalam”, Muneer V.K ,K. P. Mohamed Basheer, Rizwana Kallooravi Thandil, . Indian Journal of Science and Technology 16(46): 4410-4420. https://doi.org/ 10.17485/IJST/v16i46.2090
“Natural Language Processing of Malayalam Text for Predicting its Authenticity”, Rizwana Kallooravi Thandil, Mohamed Basheer KP, Muneer V.K, Publisher: SSRN, ELSEVIER, 2021/9/27
“Exploring Deep Spectral And Temporal Feature Representations With Attention-Based Neural Network Architectures For Accented Malayalam Speech-A Low-Resourced Language”, Rizwana Kallooravi Thandil, Mohamed Basheer KP Eur. Chem. Bull. 2023, 12(Special Issue 5),4786 – 4795, ELSEVIER.
“Fake News Detection and Prediction Using Machine Learning Algorithms”,Thezniya Naslin, Muneer V.K,Rizwana Kallooravi Thandil & Mohamed Basheer, K.P International Journal of Computer Science and Information Technologies, Vol. 12 (3), 2021, 81-85, ISSN:0975-9646.
“Advanced Speech Emotion Recognition in Malayalam Accented Speech: Analyzing Unsupervised and Supervised Approaches”, Rizwana Kallooravi Thandil, P. V. Jalala, Rahbar Zahid & M. Preethi, Artificial Intelligence and Speech Technology. AIST 2023. Communications in Computer and Information Science, vol 2267. Springer, Cham.
“End-to-End Unified Accented Acoustic Model for Malayalam-A Low Resourced Language”, Rizwana Kallooravi Thandil, K. P. Mohamed Basheer & V. K. Muneer, Speech and Language Technologies for Low-Resource Languages . SPELLL 2022. Communications in Computer and Information Science, vol 1802. Springer, Cham.
“Analysis of Influential Features with Spectral Features for Modeling Dialectal Variation in Malayalam Speech Using Deep Neural Networks”, Rizwana Kallooravi Thandil, Mohamed Basheer, K.P. (2023). Lecture Notes in Networks and Systems, vol 572. Springer, Singapore. .
“Deep Spectral Feature Representations Via Attention-Based Neural Network Architectures for Accented Malayalam Speech—A Low-Resourced Language”, Rizwana Kallooravi Thandil, Mohamed Basheer, K.P., Muneer, V.K. (2023), Lecture Notes in Networks and Systems, vol 788. Springer, Singapore. https://doi.org/10.1007/978-981-99-6553-3_1
“Speaker Independent Accent Based Speech Recognition for Malayalam Isolated Words: An LSTM-RNN Approach”, Rizwana Kallooravi Thandil, KP Basheer, (2022). Communications in Computer and Information Science, vol 1546. Springer, Cham.
“A hybrid cardiovascular disease prediction system using machine learning algorithms”, eBook ISBN 9781003150664, Publication Partner:CRC Press Taylor and Francis,2021 ,https://www.taylorfrancis.com/chapters/edit/10.1201/9781003150664-53/,
“Qualitative Prediction and Recognition of Ongoing Human Action Sequences Using Deep Neural Networks”,
Muneer V.K, Rizwana Kallooravi Thandil and K. P. Mohamed Basheer, Proceedings of the Third International Conference on Intelligent Sustainable Systems [ICISS 2020] IEEE Xplore Part Number: CFP20M19-ART; ISBN: 978-1-7281-7089-3, DOI: 10.1109/ICISS49785.2020.9315962
"Environment Sound Recognition Systems-A Case Study," Jayashree Nair, Rizwana Kallooravi Thandil, Gouri S, Praveena PS ,2023 8th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2023, pp. 1489-1494, doi: 10.1109/ICCES57224.2023.10192698
“A Multi-feature Analysis of Accented Multisyllabic Malayalam Words—a Low-Resourced Language”, Rizwana Kallooravi Thandil, K. P. Mohamed Basheer & V. K. Muneer ,Lecture Notes in Networks and Systems, vol 660. Springer, Singapore.
“End-to-End Multi-dialect Malayalam Speech Recognition Using Deep-CNN, LSTM-RNN, and Machine Learning Approaches”, Rizwana Kallooravi Thandil, K. P. Mohamed Basheer & V. K. Muneer, 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 163. Springer, Singapore.
“Utilizing BiLSTM For Fine-Grained Aspect-Based Travel Recommendations Using Travel Reviews In Low Resourced Language”, V. K. Muneer, K. P. Mohamed Basheer, Rizwana Kallooravi Thandil,2024, Journal of Electrical Sysems Vol. 20 No. 2s (2024),
“Enhanced object detection in videos using bio vision”, Rizwana Kallooravi Thandil and Umira Parvi KP, World Journal of Advanced Research and Reviews, 2024, 24(01), 1720–1727,
“Enhancing Emotion Classification in Malayalam Accented Speech: An In-Depth Clustering Approach”, Journal of Advanced Zoology, Rizwana Kallooravi Thandil, Mohamed Basheer K.P, Vol. 44 No. 5 (2023), https://doi.org/10.53555/jaz.v44i5.2894
“Online Malayalam Script Assortment and Preprocessing for Building Recommender Systems”, V. K. Muneer,K. P. Mohamed Basheer, Rizwana Kallooravi Thandil & Abdul Muhaimin Smart Intelligent Computing and Applications, Volume 1. Smart Innovation, Systems and Technologies, vol 282. Springer, Singapore.
“Security and Privacy in Vehicular Ad Hoc Network (VANET): A Survey” Rizwana Kallooravi Thandil, International Journal of Computer Applications (0975 – 8887), National Conference on Advances in Computing Communication and Application (ACCA-2015), ISBN: 973-93-80886-33-3, ISSN:0975-8887.
“Automatic Speech Recognition System for Utterances In Malayalam Language” Rizwana Kallooravi Thandil, Dr. Muhamed Basheer KP, Rababa Kareem Kollathodi, Malaya Journal of Matematik, Vol. S, No. 1, 560-565, 2019., .
“Accent Based Speech Recognition: A Critical Overview “, Rizwana Kallooravi Thandil and K. P. Mohamed Basheer, Malaya Journal of Matematik, Vol. 8, No. 4, 1743-1750, 2020,
