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Dr. Anoop V. S.

Assistant Professor (Level 12), Department of Computer Science and Engineering, School of Computing, Amritapuri

Qualification: Ph.D
anoopvs@am.amrita.edu
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Scopus Author ID
Research Interest: Applied Natural Language Processing

Bio Publications Experience Research Grants FDP / Workshops Invited Talks Awards
Bio

Dr. Anoop is presently working as an Assistant Professor (Level 12) at the Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri Campus. He is an experienced educator and researcher in Applied Natural Language Processing with a focus in SocialNLP and IndicNLP. He holds a Ph.D. and M.Phil. in Computer Science (Artificial Intelligence) from the Indian Institute of Information Technology and Management, Thiruvananthapuram, under Cochin University of Science and Technology, and completed a Postdoctoral Fellowship at Queen’s University, Canada. He also holds a Master of Computer Applications (MCA) from the School of Computer and Information Sciences and a Postgraduate Diploma in Higher Education (PGDHE) from the School of Education, IGNOU, New Delhi.

Dr. Anoop has led several AI projects in collaboration with industry and government organizations and has published his research in leading international journals and conferences. His research has been supported by prestigious international grants, including funding from the Mozilla Foundation and the United States Agency for International Development (USAID).

Previously, he served as an Assistant Professor (Senior Grade) at the School of Business, Amrita Vishwa Vidyapeetham, Kochi, and as a Research Officer at the Keralam University of Digital Sciences, Innovation and Technology, Thiruvananthapuram. He also brings extensive R&D experience from roles such as AI Research Scientist, Data Scientist, and Software Engineer as well as experience as Visiting Faculty member at prestigious institutions in India and abroad.

Publications

Book Chapter

Year : 2026

Towards Developing a Voice-enabled Document Question Answering System using Large Language Model with Retrieval Augmented Generation

Cite this Research Publication : Anoop V. S, Denil Tom Jaison, Towards Developing a Voice-enabled Document Question Answering System using Large Language Model with Retrieval Augmented Generation, Large Language Models and AI: Challenges and Innovations, CRC Press, Taylor and Francis

Year : 2026

Natural Language Processing and Social Media for Mental Health and Well-Being: Progress and Challenges

Cite this Research Publication : V. S. Anoop, P. N. Meena, Natural Language Processing and Social Media for Mental Health and Well-Being: Progress and Challenges, Sustainable Artificial Intelligence-Powered Applications, Springer Nature Switzerland, 2026, https://doi.org/10.1007/978-3-032-23626-5_3

Publisher : Springer Nature Switzerland

Year : 2025

Immersive and lifelong learning experiences in metaverse and web 3.0

Cite this Research Publication : Usharani Hareesh Govindarajan, V.S. Anoop, Immersive and lifelong learning experiences in metaverse and web 3.0, Exploring the Metaverse, Elsevier, 2025, https://doi.org/10.1016/b978-0-443-24132-1.00001-6

Publisher : Elsevier

Year : 2025

The Global Trends and Hotspots of Medical Internet of Things Research: A Bibliometric Analysis During 2004 to 2023

Cite this Research Publication : Rajeevan M. S., Anoop V. S., Narayana D,The Global Trends and Hotspots of Medical Internet of Things Research: A Bibliometric Analysis During 2004 to 2023, In Navigating Cyber-Physical Systems With Cutting-Edge Technologies (pp. 343-372), IGI Global Scientific Publishing, 2025.

Year : 2025

OralMedIE: Fine-tuning Biomedical Language Model for Clinical Information Extraction for Oral Medicine and Radiology

Cite this Research Publication : Anoop V. S, Ardra R, OralMedIE: Fine-tuning Biomedical Language Model for Clinical Information Extraction for Oral Medicine and Radiology, In Advances in Artificial Intelligence for Healthcare Applications (pp. 45-59). CRC Press, 2025

Year : 2025

FaceTrack: A Face Recognition-based Real-time Attendance Marking Approach using Haar Cascade and Machine Learning

Cite this Research Publication : Rafeek R., Anoop, V. S., Akhtar Z, FaceTrack: A Face Recognition-based Real-time Attendance Marking Approach using Haar Cascade and Machine Learning, In Artificial Intelligence and Optimization Techniques for Smart Information System Generations (pp. 258-277). CRC Press,2025

Year : 2025

Fine-Tuning a Domain-Specific Large Language Model Using Low-Rank Adaptation Technique for Legal AI Applications

Cite this Research Publication : Anoop V. S., Fawaz J. M., Fine-Tuning a Domain-Specific Large Language Model Using Low-Rank Adaptation Technique for Legal AI Applications: Case of India. In Artificial Intelligence in Legal Systems (pp. 63-76). Chapman and Hall/CRC, 2025

Year : 2024

Analyzing Public Concerns on Mpox Using Natural Language Processing and Text Mining Approaches

Cite this Research Publication : Anoop V. S, Analyzing Public Concerns on Mpox Using Natural Language Processing and Text Mining Approaches, Intersection of AI and Business Intelligence in Data-Driven Decision-Making (pp. 309-330), IGI Global Scientific Publishing, 2024

Year : 2023

Cognitive computing and big data for digital health: Past, present, and the future

Cite this Research Publication : Sreelakshmi S., Anoop V. S, Cognitive computing and big data for digital health: Past, present, and the future, Era of artificial intelligence (pp. 55-66), Chapman and Hall/CRC, 2023

Year : 2022

A topic modeling-guided framework for aspect-oriented sentiment analysis on social media

Cite this Research Publication : Chandran N. V, Anoop V. S, Asharaf S, A topic modeling-guided framework for aspect-oriented sentiment analysis on social media, In Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media (pp. 132-146). IGI Global Scientific Publishing, 2022

Year : 2022

Artificial Intelligence and the blockchain in smart agriculture: Emergence, opportunities, and challenges

Cite this Research Publication : Anoop V. S., Adarsh S, Asharaf S, Artificial Intelligence and the blockchain in smart agriculture: Emergence, opportunities, and challenges, Artificial Intelligence and Smart Agriculture Technology, 43-55, 2022

Year : 2022

Integrating Artificial Intelligence and Blockchain for Enabling a Trusted Ecosystem for Healthcare Sector

Cite this Research Publication : V. S. Anoop, S. Asharaf, Integrating Artificial Intelligence and Blockchain for Enabling a Trusted Ecosystem for Healthcare Sector, Intelligent Healthcare, Springer Nature Singapore, 2022, https://doi.org/10.1007/978-981-16-8150-9_13

Publisher : Springer Nature Singapore

Year : 2021

A meaning-aware information search and retrieval framework for healthcare

Cite this Research Publication : V.S. Anoop, Nikhil V. Chandran, S. Asharaf, A meaning-aware information search and retrieval framework for healthcare, Web Semantics, Elsevier, 2021, https://doi.org/10.1016/b978-0-12-822468-7.00003-1

Publisher : Elsevier

Year : 2021

Prediction of neurological disorders using visual saliency: Current trends and future directions

Cite this Research Publication : Sreelakshmi S, AnoopV. S, Prediction of neurological disorders using visual saliency: Current trends and future directions, In Machine learning and data analytics for predicting, managing, and monitoring disease (pp. 1-11). IGI Global, 2021

Year : 2021

Text mining and natural language processing for health informatics: recent trends and the way forward

Cite this Research Publication : Anoop V. S, Text mining and natural language processing for health informatics: recent trends and the way forward, Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease, 2021

Year : 2018

Distributed IoT and Applications: A Survey

Cite this Research Publication : H. S. Jennath, S. Adarsh, V. S. Anoop, Distributed IoT and Applications: A Survey, Studies in Computational Intelligence, Springer Singapore, 2018, https://doi.org/10.1007/978-981-10-8797-4_35

Publisher : Springer Singapore

Year : 2016

A framework for meaning aware product discovery in e-commerce

Cite this Research Publication : Asharaf S, Anoop V. S, Afzal A. L, A framework for meaning aware product discovery in e-commerce, In Encyclopedia of E-Commerce Development, Implementation, and Management (pp. 1386-1398). IGI Global Scientific Publishing, 2016.

Journal Article

Year : 2026

AutoCrack: Deep Transformer With Pyramid Pooling for Autonomous Pavement Crack Identification

Cite this Research Publication : V. S. Anoop, S. Sreelakshmi, AutoCrack: Deep Transformer With Pyramid Pooling for Autonomous Pavement Crack Identification, Applied Computational Intelligence and Soft Computing, Wiley, 2026, https://doi.org/10.1155/acis/1694742

Publisher : Wiley

Year : 2026

Semantic Text Kernels: A hybrid interpretable framework for deep semantic analysis in textual data

Cite this Research Publication : Nikhil V. Chandran, Anoop V.S., Asharaf S., Semantic Text Kernels: A hybrid interpretable framework for deep semantic analysis in textual data, Engineering Applications of Artificial Intelligence, Elsevier BV, 2026, https://doi.org/10.1016/j.engappai.2025.113568

Publisher : Elsevier BV

Year : 2025

Mapping of Emerging Technological Trends in Library and Information Science

Cite this Research Publication : Rajeevan M S, B. Mini Devi, V.S. Anoop, C. Mallikarjuna, Mapping of Emerging Technological Trends in Library and Information Science, DESIDOC Journal of Library & Information Technology, Defence Scientific Information and Documentation Centre, 2025, https://doi.org/10.14429/djlit.21029

Publisher : Defence Scientific Information and Documentation Centre

Year : 2025

Topic-Weighted Kernels: Text Kernels Integrating Topic Weights and Deep Word Embeddings for Semantic Text Analytics

Cite this Research Publication : Nikhil V. Chandran, V. S. Anoop, S. Asharaf, Topic-Weighted Kernels: Text Kernels Integrating Topic Weights and Deep Word Embeddings for Semantic Text Analytics, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2025.3565816

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

Graph embedding approaches for social media sentiment analysis with model explanation

Cite this Research Publication : V.S. Anoop, C. Subin Krishna, Usharani Hareesh Govindarajan, Graph embedding approaches for social media sentiment analysis with model explanation, International Journal of Information Management Data Insights, Elsevier BV, 2024, https://doi.org/10.1016/j.jjimei.2024.100221

Publisher : Elsevier BV

Year : 2024

Climate Change Sentiment Analysis Using Domain Specific Bidirectional Encoder Representations From Transformers

Cite this Research Publication : V. S. Anoop, T. K. Ajay Krishnan, Ali Daud, Ameen Banjar, Amal Bukhari, Climate Change Sentiment Analysis Using Domain Specific Bidirectional Encoder Representations From Transformers, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2024, https://doi.org/10.1109/access.2024.3441310

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2023

A deep convolutional neural network model for medical data classification from computed tomography images

Cite this Research Publication : S. Sreelakshmi, V. S. Anoop, A deep convolutional neural network model for medical data classification from computed tomography images, Expert Systems, Wiley, 2023, https://doi.org/10.1111/exsy.13427

Publisher : Wiley

Year : 2023

TopicStriKer: A topic kernels-powered approach for text classification

Cite this Research Publication : Nikhil V. Chandran, V.S. Anoop, S. Asharaf, TopicStriKer: A topic kernels-powered approach for text classification, Results in Engineering, Elsevier BV, 2023, https://doi.org/10.1016/j.rineng.2023.100949

Publisher : Elsevier BV

Year : 2023

Public discourse and sentiment during Mpox outbreak: an analysis using natural language processing

Cite this Research Publication : V.S. Anoop, S. Sreelakshmi, Public discourse and sentiment during Mpox outbreak: an analysis using natural language processing, Public Health, Elsevier BV, 2023, https://doi.org/10.1016/j.puhe.2023.02.018

Publisher : Elsevier BV

Year : 2023

String Kernel-Based Techniques for Native Language Identification

Cite this Research Publication : Vamshi Kumar Gurram, J. Sanil, V. S. Anoop, S. Asharaf, String Kernel-Based Techniques for Native Language Identification, Human-Centric Intelligent Systems, Springer Science and Business Media LLC, 2023, https://doi.org/10.1007/s44230-023-00029-z

Publisher : Springer Science and Business Media LLC

Year : 2022

Blockchain technology for cybersecurity: A text mining literature analysis

Cite this Research Publication : Ravi Prakash, V.S. Anoop, S. Asharaf, Blockchain technology for cybersecurity: A text mining literature analysis, International Journal of Information Management Data Insights, Elsevier BV, 2022, https://doi.org/10.1016/j.jjimei.2022.100112

Publisher : Elsevier BV

Year : 2020

Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence.

Cite this Research Publication : H.S. Jennath, V.S. Anoop, S. Asharaf, Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence., International Journal of Interactive Multimedia and Artificial Intelligence, Universidad Internacional de La Rioja, 2020, https://doi.org/10.9781/ijimai.2020.07.002

Publisher : Universidad Internacional de La Rioja

Year : 2020

Parts-of-Speech tagging for Malayalam using deep learning techniques

Cite this Research Publication : K. K. Akhil, R. Rajimol, V. S. Anoop, Parts-of-Speech tagging for Malayalam using deep learning techniques, International Journal of Information Technology, Springer Science and Business Media LLC, 2020, https://doi.org/10.1007/s41870-020-00491-z

Publisher : Springer Science and Business Media LLC

Year : 2018

Aspect-Oriented Sentiment Analysis: A Topic Modeling-Powered Approach

Cite this Research Publication : V.S. Anoop, S. Asharaf, Aspect-Oriented Sentiment Analysis: A Topic Modeling-Powered Approach, Journal of Intelligent Systems, Walter de Gruyter GmbH, 2018, https://doi.org/10.1515/jisys-2018-0299

Publisher : Walter de Gruyter GmbH

Year : 2017

A Topic Modeling Guided Approach for Semantic Knowledge Discovery in e-Commerce

Cite this Research Publication : V. S. Anoop, S. Asharaf, A Topic Modeling Guided Approach for Semantic Knowledge Discovery in e-Commerce, International Journal of Interactive Multimedia and Artificial Intelligence, Universidad Internacional de La Rioja, 2017, https://doi.org/10.9781/ijimai.2017.03.014

Publisher : Universidad Internacional de La Rioja

Year : 2017

Extracting Conceptual Relationships and Inducing Concept Lattices from Unstructured Text

Cite this Research Publication : V.S. Anoop, S. Asharaf, Extracting Conceptual Relationships and Inducing Concept Lattices from Unstructured Text, Journal of Intelligent Systems, Walter de Gruyter GmbH, 2017, https://doi.org/10.1515/jisys-2017-0225

Publisher : Walter de Gruyter GmbH

Book

Year : 2025

Advances in Artificial Intelligence for Healthcare Applications

Cite this Research Publication : Anoop V.S, Suhasini Verma, Usharani Hareesh Govindarajan, Advances in Artificial Intelligence for Healthcare Applications, null, CRC Press, 2025, https://doi.org/10.1201/9781003503385

Publisher : CRC Press

Year : 2022

Blockchain for Industry 4.0

Cite this Research Publication : Anoop V.S., Asharaf S, Justin Goldston, Samson Williams, Blockchain for Industry 4.0, null, CRC Press, 2022, https://doi.org/10.1201/9781003282914

Publisher : CRC Press

Conference Paper

Year : 2024

Textual Semantics Analysis Using String Kernels-Based Spectral Clustering with Incremental Hierarchical Topic Clustering

Cite this Research Publication : Nikhil V. Chandran, V. S Anoop, S. Asharaf, Textual Semantics Analysis Using String Kernels-Based Spectral Clustering with Incremental Hierarchical Topic Clustering, Lecture Notes in Networks and Systems, Springer Nature Switzerland, 2024, https://doi.org/10.1007/978-3-031-64779-6_19

Publisher : Springer Nature Switzerland

Year : 2023

Machine Learning Approaches for Detecting Signs of Depression from Social Media

Cite this Research Publication : Sarin Jickson, V. S. Anoop, S. Asharaf, Machine Learning Approaches for Detecting Signs of Depression from Social Media, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2023, https://doi.org/10.1007/978-981-19-9331-2_17

Publisher : Springer Nature Singapore

Year : 2023

Health Mention Classification from User-Generated Reviews Using Machine Learning Techniques

Cite this Research Publication : Romieo John, V. S. Anoop, S. Asharaf, Health Mention Classification from User-Generated Reviews Using Machine Learning Techniques, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2023, https://doi.org/10.1007/978-981-19-9331-2_15

Publisher : Springer Nature Singapore

Year : 2023

Sentiment Classification of Diabetes-Related Tweets Using Transformer-Based Deep Learning Approach

Cite this Research Publication : V. S. Anoop, Sentiment Classification of Diabetes-Related Tweets Using Transformer-Based Deep Learning Approach, Communications in Computer and Information Science, Springer Nature Switzerland, 2023, https://doi.org/10.1007/978-3-031-37940-6_17

Publisher : Springer Nature Switzerland

Year : 2023

We Chased COVID-19; Did We Forget Measles? – Public Discourse and Sentiment Analysis on Spiking Measles Cases Using Natural Language Processing

Cite this Research Publication : V. S. Anoop, Jose Thekkiniath, Usharani Hareesh Govindarajan, We Chased COVID-19; Did We Forget Measles? - Public Discourse and Sentiment Analysis on Spiking Measles Cases Using Natural Language Processing, Lecture Notes in Computer Science, Springer Nature Switzerland, 2023, https://doi.org/10.1007/978-3-031-36402-0_13

Publisher : Springer Nature Switzerland

Year : 2023

Conversational Artificial Intelligence in Digital Healthcare: A Bibliometric Analysis

Cite this Research Publication : P. R. Visakh, P. N. Meena, V. S. Anoop, Conversational Artificial Intelligence in Digital Healthcare: A Bibliometric Analysis, Lecture Notes in Computer Science, Springer Nature Switzerland, 2023, https://doi.org/10.1007/978-3-031-36402-0_67

Publisher : Springer Nature Switzerland

Year : 2022

Deep Learning-Based Sentiment Analysis on COVID-19 News Videos

Cite this Research Publication : Milan Varghese, V. S. Anoop, Deep Learning-Based Sentiment Analysis on COVID-19 News Videos, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2022, https://doi.org/10.1007/978-981-16-7618-5_20

Publisher : Springer Nature Singapore

Year : 2022

Sentiment Analysis on COVID-19 News Videos Using Machine Learning Techniques

Cite this Research Publication : S. Lekshmi, V. S. Anoop, Sentiment Analysis on COVID-19 News Videos Using Machine Learning Techniques, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2022, https://doi.org/10.1007/978-981-19-0105-8_54

Publisher : Springer Nature Singapore

Year : 2022

Distributed Consensus Mechanism with Novelty Classification Using Proof of Immune Algorithm

Cite this Research Publication : S. Adarsh, V. S. Anoop, S. Asharaf, Distributed Consensus Mechanism with Novelty Classification Using Proof of Immune Algorithm, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2022, https://doi.org/10.1007/978-981-19-2535-1_13

Publisher : Springer Nature Singapore

Year : 2021

Sentence-Level Document Novelty Detection Using Latent Dirichlet Allocation with Auto-Encoders

Cite this Research Publication : S. Adarsh, S. Asharaf, V. S. Anoop, Sentence-Level Document Novelty Detection Using Latent Dirichlet Allocation with Auto-Encoders, Advances in Intelligent Systems and Computing, Springer Singapore, 2021, https://doi.org/10.1007/978-981-16-3071-2_41

Publisher : Springer Singapore

Year : 2018

Distributional Semantic Phrase Clustering and Conceptualization Using Probabilistic Knowledgebase

Cite this Research Publication : V. S. Anoop, S. Asharaf, Distributional Semantic Phrase Clustering and Conceptualization Using Probabilistic Knowledgebase, Communications in Computer and Information Science, Springer Singapore, 2018, https://doi.org/10.1007/978-981-10-8657-1_39

Publisher : Springer Singapore

Year : 2017

Topic Modeling for Unsupervised Concept Extraction and Document Ranking

Cite this Research Publication : V. S. Anoop, S. Asharaf, P. Deepak, Topic Modeling for Unsupervised Concept Extraction and Document Ranking, Advances in Intelligent Systems and Computing, Springer International Publishing, 2017, https://doi.org/10.1007/978-3-319-68385-0_11

Publisher : Springer International Publishing

Year : 2016

Unsupervised Concept Hierarchy Learning: A Topic Modeling Guided Approach

Cite this Research Publication : V.S. Anoop, S. Asharaf, P. Deepak, Unsupervised Concept Hierarchy Learning: A Topic Modeling Guided Approach, Procedia Computer Science, Elsevier BV, 2016, https://doi.org/10.1016/j.procs.2016.06.086

Publisher : Elsevier BV

Year : 2015

A Social Network Visualization on How ‘MakeInIndia’ Made Vibes Among Various Sectors – A Topic Modeling Based Approach

Cite this Research Publication : Anoop V.S, Prem Sankar C, Zonin Alessandro. A Social Network Visualization on How ‘MakeInIndia’ Made Vibes Among Various Sectors – A Topic Modeling Based Approach. In Proceedings of National Conference on Foresight and Technology Futures (NCFTF-2015), 2015

Year : 2015

PICGraph: An Extension of Power Iteration Clustering for Inferring Conceptual Relationships from Large Unstructured Datasets

Cite this Research Publication : Anoop V.S, Lekshmi B.G, PICGraph: An Extension of Power Iteration Clustering for Inferring Conceptual Relationships from Large Unstructured Datasets, Second International Conference on Emerging Trends in Technology and Applied Sciences (ICETTAS-2015), 2015

Conference Proceedings

Year : 2023

OralMedNER: A Named Entity Recognition System for Oral Medicine and Radiology

Cite this Research Publication : K. R. Ardra, V. S. Anoop, Prashanth Panta, OralMedNER: A Named Entity Recognition System for Oral Medicine and Radiology, 2023 9th International Conference on Smart Computing and Communications (ICSCC), IEEE, 2023, https://doi.org/10.1109/icscc59169.2023.10334994

Publisher : IEEE

Year : 2023

Figurative Health-mention Classification from Social Media using Graph Convolutional Networks

Cite this Research Publication : C. Subin Krishna, V. S. Anoop, Figurative Health-mention Classification from Social Media using Graph Convolutional Networks, 2023 9th International Conference on Smart Computing and Communications (ICSCC), IEEE, 2023, https://doi.org/10.1109/icscc59169.2023.10334990

Publisher : IEEE

Year : 2023

Biomedical Named Entity Recognition from Malaria Literature using BioBERT

Cite this Research Publication : N. Devika, V. S. Anoop, Jose Thekkiniath, Biomedical Named Entity Recognition from Malaria Literature using BioBERT, 2023 9th International Conference on Smart Computing and Communications (ICSCC), IEEE, 2023, https://doi.org/10.1109/icscc59169.2023.10335049

Publisher : IEEE

Year : 2022

String Kernels for Document Classification: A Comparative Study

Cite this Research Publication : Nikhil V. Chandran, Asharaf S., Anoop V. S., String Kernels for Document Classification: A Comparative Study, 2022 International Conference on Innovative Trends in Information Technology (ICITIIT), IEEE, 2022, https://doi.org/10.1109/icitiit54346.2022.9744134

Publisher : IEEE

Year : 2015

Generating and visualizing topic hierarchies from microblogs: An iterative latent dirichlet allocation approach

Cite this Research Publication : Anoop V.S, Prem Sankar C, Asharaf S, Zonin Alessandro, Generating and visualizing topic hierarchies from microblogs: An iterative latent dirichlet allocation approach, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, 2015, https://doi.org/10.1109/icacci.2015.7275712

Publisher : IEEE

Experience
  1. Assistant Professor (Senior Grade) – AI & Analytics, Amrita School of Business, Kochi, India (2025-2026)
  2. Assistant Professor – Systems & Analytics, Thiagarajar School of Management, Madurai, India (2024-2025)
  3. Research Officer, Keralam University of Digital Sciences, Innovation and Technology, Thiruvananthapuram, India (2022 – 2024)
  4. Postdoctoral Fellow, Smith School of Business, Queen’s University, Canada (2022)
  5. Visiting Faculty (Systems & Analytics), Thiagarajar School of Management, Madurai, India (2022-2024)
  6. Senior Scientist (Training & Research), Keralam Blockchain Academy, Indian Institute of Information Technology and Management – Keralam, Thiruvananthapuram, India (2021-2022)
  7. Visiting Faculty (Blockchain Technologies), Institute of Management Technology (IMT), Dubai (2021)
  8. Assistant Professor in Computer Science, Rajagiri College of Social Sciences (Autonomous), Kochi, India (2020 – 2021)
  9. Senior Scientist & Head (Training), Keralam Blockchain Academy, Indian Institute of Information Technology and Management, Thiruvananthapuram, India (2018 – 2020)
  10. Data Scientist (Text Analytics and NLP), Cogknit Semantics, Bangalore, India (2017)
  11. Research Associate (Data Analytics), Indian Institute of Information Technology and Management – Keralam, Thiruvananthapuram, India (2015-2016)
  12. Software Engineer, M-Squared Software & Services (P) Ltd., Technopark, Thiruvananthapuram (2008-2011)
Research Grants
  1. Mozilla Responsible Computing Challenge Research Grant worth USD 25,000 (INR 20,00,000) jointly funded by the Mozilla Foundation and the United States Agency for International Development (USAID) for the project “Integration of Modules on Responsible NLP into existing Natural Language Processing course for Computing students using Flipped Classroom strategies and Outreach components”
  2. Mathematics of Information Technology and Complex Systems (MITACS) Fellowship for Postdoctoral Fellowship in Canada.
FDP / Workshops
  1. Conducted a workshop on “Productivity to Business Development: Uses of Generative AI” as part of the Keralam Technology Expo, Calicut, India, March 2024
  2. Delivered a session on “Research Foundations of Data Science & Tools and Technologies for Data Science Research” at an FDP on Research Foundations and Perspectives of Data Science and Deep Learning conducted by the Department of Computer Science and Engineering, Vidya Academy of Science and Technology, Thrissur, India, February 2024
  3. Delivered a session on “Biomedical NLP: State-of-the-art and the Way Forward” at the National Faculty Development Programme on “Advanced Research Trends in Computing” organized by the Department of Computer Science, Kristu Jayanti College (Autonomous), Bangalore, India, June 2023
  4. Delivered a session on “Deep Learning Applications” at the IoT and Big Data Workshop organized by the International Center for Free and Open Source Software (ICFOSS), Thiruvananthapuram, India, in association with K-DISC, Government of Keralam, May 2023
  5. Delivered a session on “Natural Language Processing for Improving Public Health” at the two-week ATAL FDP on Recent Advances and Challenges in Artificial Intelligence, Machine Learning, and Blockchain Technology organized by the Department of Computer Science and Engineering, Amrita School of Computing, Amrita University, Coimbatore
  6. Session Chair for the International Conference on FOSS Approaches towards Computational Intelligence and Language Technology (FOSS-CILT23) organized by The International Center for Free and Open Source Software (ICFOSS), Thiruvananthapuram, India, February 2023
  7. Session Chair for the IEEE International Conference on Advance in Intelligent Computing and Applications (AICAPS2023) organized by the Department of Computer Applications, Cochin University of Science and Technology (CUSAT), Kochi, India, Februry 2023
  8. Delivered a talk on “Big Data Visualization” for the Department of Science and Technology (DST) – Promotion of University Research and Scientific Excellence (PURSE) Sponsored Five-Day Workshop on Big Data Concepts, Tools and Applications organized by Data Science Lab, Cochin University of Science and Technology (CUSAT), Kochi, Keralam.
  9. Delivered a talk on “Data Science Demystified” at the Short-Term Training Programme under TEQIP III for Engineering College Teachers/Research Scholars on “Data Science & Machine Learning using Python” jointly organized by the Division of Information Technology, School of Engineering, Cochin University of Science and Technology (CUSAT) and Department of Computer Science & Engineering, THDC Institute of Hydropower Engineering and Technology, Tehri., August 2020
  10. Delivered a talk on “A Practical Introduction to Natural Language Processing” at the Short-Term Training Programme under TEQIP III for Engineering College Teachers/Research Scholars on “Data Science & Machine Learning using Python” jointly organized by the Division of Information Technology, School of Engineering, Cochin University of Science and Technology (CUSAT) and Department of Computer Science & Engineering, THDC Institute of Hydropower Engineering and Technology, Tehri.
  11. Delivered a talk on “A Practical Introduction to Natural Language Processing” for AICTE sponsored Six Days Short-Term Training Programme on “Data Analytics and Machine Learning Tools” organized by the Department of Master of Computer Applications, Amal Jyothi College of Engineering, Kanjirappally, August 2020
  12. Organizing Committee Member for “Workshop on Blockchain Technology”, Park Center, Technopark, Thiruvananthapuram, March 03, 2017
  13. Organizing Committee Member for “ACM India Annual Event 2016”, Thiruvananthapuram, India, January 21-22, 2016
  14. “3rd IEEE-CAS Keralam Outreach Workshop on Machine Intelligence: Non-Linear Circuits Applications”, December 29, 2015, IIITM-K, Thiruvananthapuram
  15. Organizing Committee Member for “3rd IEEE-CAS Keralam Outreach Workshop on Machine Intelligence: Non-Linear Circuits Applications”, Indian Institute of Information Technology and Management – Keralam, Thiruvananthapuram, December 29, 2015.
  16. Organizing Committee Member for “International Conference on Computing and Network Communications (CoCoNet – 2015)”, Thiruvananthapuram, India, December 16 – 19, 2015
  17. Organizing Committee Member for “International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS – 2015)”, Thiruvananthapuram, December 16 – 19, 2015
  18. Organizing Commitee Member for “International Workshop on Cyber Threat Resilience (CRICTR – 2015)”, Indian Institute of Information Technology and Management – Keralam, Thiruvananthapuram
  19. Organizing Commitee Member for “Workshop on Cloud Computing”, organized by IIITM-K in association with C-DAC, Chennai, and ACM Trivandrum Professional Chapter, Indian Institute of Information Technology and Management – Keralam, March 15 – 16, 2014
  20. Organizing Committee Member for “Second International Conference on Security in Computer Networks and Distributed Systems (SNDS – 2014)”, Technopark, Thiruvananthapuram, March 13 – 15, 2014
  21. Organizing Committee Member for “National Workshop on Research Methodologies in Computer Science”, Thiruvananthapuram sponsored by KSCSTE and The Keralam State Higher Education Council, at Indian Insitute of Information Technology and Management – Keralam, 27 – 31 January 2014
  22. Organizing Commitee Member for “Workshop on Data Analysis using R Software”, organized by the Virtual Resource Centre for Language Computing, Indian Institute of Information Technology and Management – Keralam, 5 – 7 December 2013.
Invited Talks
  1. Invited Talk on “Generative AI for Natural Language Processing” 5th Student National Symposium organized by the University of Technologies and Applied Sciences, Oman, May 2024
  2. Invited Talk on “Generative AI and LLM Demystified” at the 14th three-day international conference on Energy, Environment, and Health, organized by Sree Ayyappa College, Eramallikkara, Chengannur, Keralam, India, April 2024
  3. Invited Talk on “Generative AI for Business Leaders” at the Amrita AHEAD MBA Webinar organized by Amrita Vishwa Vidyapeetham, Kochi, India, April 2024
  4. Distinguished Panel Member at the AI Conclave – “AI Nexus: Bridging Minds and Machines” organized by the Providence College of Engineering, Chengannur, India, March 2024
  5. Project Evaluator at the Winter School on “Natural Language Processing and Large Language Models” organized by the International Center for Free and Open Source Software (ICFOSS), Thiruvananthapuram, India, February 2024
  6. Webinar on “Women in Analytics: Data Science – Job Opportunities”, organized by the Institute for Women Entrepreneurship and Employment, Kozhikode, India, October 2023
  7. Invited Talk on “AI for Managers: Opportunities and Challenges” at the Amrita AHEAD MBA Webinar organized by Amrita Vishwa Vidyapeetham, Kochi, India, September 2023
  8. Invited Talk on “Natural Language Generation” at the Third Summer School of Natural Language Processing organized by the International Center for Free and Open Source Software (ICFOSS), Thiruvananthapuram, India, May 2023
  9. Invited Talk on “Natural Language Processing in Healthcare” at the International Symposium on Energy, Environment, Health, and Visual Communication, organized by Sree Ayyappa College, Chengannur, Keralam, India, February 2023
  10. Invited Talk on “Blockchain for Businesses – Beyond Bitcoin” as part of the Weekly Research Seminar organized by the Middlesex University, Dubai, United Arab Emirates.
  11. Invited Talk on “Social Networking Skills” at Rajagiri College of Social Sciences, Kochi, as part of SEED (Skill Enhancement and Entrepreneurship Development program) organized by the Department of Commerce and Professional Studies.
  12. Guest of Honor at the Inaugural ceremony of the Short Term Course on Artificial Intelligence in Education organized by the MIT Centre for Future Skills Excellence and MIT School of Education & Research.
  13. Distinguished Guest at the Global Blockchain Colloquium organized by MIT Centre for Future Skills Excellence (MIT-FuSE) in association with India Blockchain Forum & Global Blockchain Business Council.
  14. Invited Talk on “Natural Language Processing Demystified” at the International Webinar on “Artificial Intelligence ” (IWAI 2020) organized by the School of Technology, University of Keralam, December 2020
  15. Distinguished Panel Member – Keralam Digital Summit organized by Keralam Management Association
  16. Distinguished Panel Member – Open Forum Panel Discussion on “Information Technology and 21st Century India” organized as part of India Skills Keralam conducted by the Department of Labour and Skills, Government of Keralam.
  17. Invited Speaker – “Introduction to Machine Intelligence” at Mar Ivanios College, Thiruvananthapuram, Keralam
  18. Invited Speaker – “Introduction to Data Science” at College of Engineering – Thiruvananthapuram (CET)
Awards
  1. NITI Aayog (Government of India) Prize at the Proffer International Blockchain Hackathon held at Indian Institute of Technology Delhi for the “Agrochain” project, that also earned a Golden Ticket entry to the Global Entrepreneurship Summit 2017.
  2. U.S. Consulate Award for the “Skillchain” Project that won the First Prize in a Blockchain Hackathon organized by the U.S. Consulate.
  3. Best Research Paper award at the International Conference on Emerging Trends in Technology and Applied Sciences (ICETTAS – 2015)
  4. University Third Rank Holder – Master of Philosophy in Computer Science from the Cochin University of Science and Technology.
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