Departmet

Mr. Shine P. Xavier

HoD

Areas of Specialization

Deep Learning

Machine Learning

Computer Vision

Areas of Interest

Data Science

Machine Learning

Image Processing

Educational Summary

Course	University	Year
PhD	APJKTU	Pursuing
M.Tech	University of Calicut	2014
B.Tech	University of Calicut	2012

Experience

From Date	To Date	Institution Name	Designation
2014-06-02	continuing	Gov. Polytechnic Chelakkara	Guest Lecturer
2014-08-04	2015-05-06	Nirmala College of Engineering, Chalakkudy	Assistant Professor
2016-06-01	2022-04-13	Thejus Engineering College, Vellarakkad	Assistant Professor
2022-04-18	2023-01-12	Vidya Academy of Science and Technology,	Assistant Professor
2023-01-16	0000-00-00	Jyothi Engineering College	Assistant Professor

Achievements

Achievement	Year
Successfully completed the NPTEL Online Certification Course “Data Structures and Algorithms Design” conducted during July–October 2025. The 12-week course provided in-depth knowledge of fundamental and advanced data structures, algorithm design techniques, complexity analysis, recursion, searching and sorting algorithms, graph algorithms, dynamic programming, and efficient problem-solving methodologies. The course emphasized the development of computational thinking and the design of optimized solutions for complex computing problems.	2025
Successfully completed the NPTEL Online Certification Course “Python for Data Science” conducted during July–August 2025. The four-week course provided comprehensive training in Python programming for data analysis and scientific computing, covering topics such as Python fundamentals, data structures, functions, libraries for data science, data manipulation, visualization techniques, and introductory machine learning applications. The course emphasized the use of Python as a powerful tool for solving real-world data-driven problems.	2025
Completed Infosys Springboard courses on Computer vision, Introduction to Artificial Intelligence, Introduction to Data Science, Introduction to Deep Learning, Introduction to Natural Language Processing, Introduction to Robotic Process Automation	2025
Successfully completed the NPTEL Online Certification Course “NBA Accreditation and Teaching and Learning in Engineering (NATE)” conducted during January–April 2025. The 12-week course, offered under the National Programme on Technology Enhanced Learning (NPTEL), focused on Outcome Based Education (OBE), NBA accreditation requirements, curriculum design, outcome mapping, assessment methodologies, student-centered learning approaches, continuous quality improvement, and best practices in engineering education.	2025
Successfully completed 60 hours prefesssion developmet certification course offered by Orcale on Data Base Design and Programming with SQL on 2nd september 2016	2016

Papers Published

The paper “Advanced Emotion Recognition from Facial Images and Speech Signals using Complex-Value Spatio-Temporal Graph Convolutional Neural Networks” is published in the Springer journal - Signal, Image and Video processing(SCI). DOI: 10.1007/s11760-025-04449-1, CONTRIBUTORS: Shine P. Xavier; Saju P. John, Part of ISSN: 1863-1703, Part of ISSN: 1863-1711, SCI Journal: Signal, Image and Video processing https://link.springer.com/journal/11760, Journal Profile at Clarivate: https://mjl.clarivate.com/journal-profile, Journal Impact Factor: 2.1 (2024), 5-year Journal Impact Factor: 2.0 (2024), Publication Date: 31 July 2025

The paper “AI Empathetic Chatbot with Real-Time Emotion Detection Using Multimodal Fusion and BO-CNN Optimization” is published in IEEE conference 2024 International Conference on Advancement in Renewable Energy and Intelligent Systems (AREIS)-(Scopus), DOI: 10.1109/areis62559.2024.10893614, CONTRIBUTORS: Shine P. Xavier; Saju P. John, Electronic ISBN:979-8-3503-8723-0, Print on Demand(PoD) ISBN:979-8-3503-8724-7, Published in: 2024 International Conference on Advancement in Renewable Energy and Intelligent Systems (AREIS), Publisher: IEEE, Date of Conference: 05-06 December 2024, Date Added to IEEE Xplore: 25 February 2025,

Air Quality Forecasting Using Artificial Neural Network in India (Book Chapter), Jarin T., S. P. Xavier, Muniraj R., Sreeja P., Li S., Arthi M., Scopus | IGI Global Publications, Published: 25 February 2025, DOI: 10.4018/979-8-3693-7250-0.ch010, Book: Expert Artificial Neural Network Applications for Science and Engineering (2025)

MAL-VSR: A Dual-Stream Architecture and Dataset for Malayalam Visual Speech Recognition, Sneha Paul, S. Adarsh, N. J. Abina, Tejas Ranjith, Shine P. Xavier, Scopus | IEEE, Published: 31 March 2026, DOI: 10.1109/AICAPS68631.2026.11452654, Conference: 2026 2nd International Conference on Advances in Intelligent Computing and Applications (AICAPS)

HEALIO – An AI-Driven Chatbot for Multimodal Mental Health Assistance, Dhiya Devassy, Helna Thomas, Abin Babu, Abhiram K. R., Shine P. Xavier, Anjali O, Scopus | IEEE, Published: 26 March 2026, DOI: 10.1109/ICRTEECT67512.2025.11448878, Conference: 2025 2nd International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT)

Personal Companion Robot – Smart Buddy, Abdulla Nihal M., Adarsh S., Amal Krishna M., Tejas Ranjith, Shine P. Xavier, Leeshma O. V., Scopus | IEEE, Published: 04 March 2026, DOI: 10.1109/AISummit66170.2025.11410802, Conference: 2025 Global AI Summit – International Conference on Artificial Intelligence and Emerging Technology (AI Summit)

Smart Doorbell with Emotion Detection, Harikrishnan C. K., Haritha K. Suresh, Sneha K. S., Athira A. S., Shine P. Xavier, Neenu Jose, Scopus | IEEE, Published: 10 October 2025, DOI: 10.1109/NetACT65906.2025.11188944, Conference: 2025 International Conference on Networks & Advances in Computational Technologies (NetACT)

Music Analysis and Predictive Recommendation System Model, Blaze Jose, Milna Jose, Niranjana R. Nair, Prithvishankar Menon, Anjali O, Shine P. Xavier, Scopus | IEEE, Published: 24 September 2025, DOI: 10.1109/accthpa65749.2025.11168664, Conference: 2025 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)

Braille Speak AI, Nandana Anand, Shrithika Shivadas, Visesh A. V., Jeeson Davis, Shine P. Xavier, Anjali O, Scopus | IEEE, Published: 29 August 2025, DOI: 10.1109/ACCESS65134.2025.11135912, Conference: 2025 4th International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)

Personal Protective Equipment Detection Using Salp Swarm Assisted YOLOv8 Algorithm, Anjali O., Shine P. Xavier, Vaishak M. A., Abhishek Ajaykumar, Abel Jones Scopus | IEEE, Published: 25 February 2025, DOI: 10.1109/AREIS62559.2024.10893646, Conference: 2024 International Conference on Advancement in Renewable Energy and Intelligent Systems (AREIS)

The paper “Multimodal Emotion Recognition Using Optimized Spatio-Temporal Graph Convolutional Networks” is published in the IEEE conference AICAPS 2026-(Scopus) DOI: 10.1109/AICAPS68631.2026.11452859 CONTRIBUTORS: Shine P. Xavier; Saju P. John Electronic ISBN:979-8-3315-9180-9 Print on Demand(PoD) ISBN:979-8-3315-9181-6 Published in: 2026 2nd International Conference on Advances in Intelligent Computing and Applications (AICAPS) Publisher: IEEE Date of Conference: 11-13 February 2026 Date Added to IEEE Xplore: 31 March 2026 Conference Location: CUSAT, Kochi, India

Published paper on the topic “Node Failure Recovery with Minimum Network Topology Repair” in IJISET volume 1, issue 4, June 2014.

Presented and published a paper on “Smart Home Energy Management System(SHEMS) Using Zigbee” on national conference sponsored by AICT at Thejus Engineering college.

Published paper on the topic “Vehicle Speed monitoring and enhanced License plate localization method using Rasperi Pi” in IJIS(Impact factor 3.7) volume 3, issue 5, May 2017

Conferences / Workshop / FDPs Attended

The paper “Emotion Recognition from Facial Images and Speech Using Optimized Complex Spatio Temporal Graph Convolutional Neural Networks” is presented in the Springer Conference - International Conference On Artificial Intelligence For Healthcare (AIHC-2026) at NIT Calicut

Cordinated and participated the Six-Day International Online Faculty Development Programme on “AI in Healthcare: Data, Analytics, Ethics and Real-World Applications”, organized by the Department of Artificial Intelligence and Data Science, Jyothi Engineering College (Autonomous), Thrissur, Kerala, from 20th to 25th April 2026. The FDP provided valuable exposure to emerging trends in Artificial Intelligence applications in healthcare, including healthcare data analytics, machine learning and deep learning techniques, medical image analysis, predictive healthcare systems, ethical AI, healthcare data privacy, and real-world implementation challenges.

Participated in the Two-Week Online Winter Course on “National Capacity Building Program on Research and Publications” organized by the Indian Institute of Technology (IIT) Dharwad, Karnataka, from 8th to 19th December 2025. The programme focused on enhancing research capabilities among academicians and researchers by providing insights into research methodology, scientific writing, literature review techniques, publication ethics, plagiarism prevention, journal selection, manuscript preparation, citation management, and strategies for publishing high-quality research articles in reputed journals and conferences.

Coordinated and participated in the Five-Day Hybrid Faculty Development Programme on “AI & ML Based Healthcare Research: Tools, Trends & Challenges in Intelligent Medical Systems”, organized by the Department of Artificial Intelligence and Data Science, Jyothi Engineering College (Autonomous), Thrissur, Kerala, from 21st to 26th May 2026. The FDP provided valuable insights into emerging research directions in Artificial Intelligence and Machine Learning for healthcare, covering advanced healthcare analytics, intelligent medical systems, AI-driven diagnostic and predictive models, medical imaging applications, research tools and methodologies, recent trends in healthcare informatics, ethical and regulatory considerations, and challenges associated with the development and deployment of intelligent healthcare solutions in real-world environments.

Coordinated and participated in the Online Five-Day Faculty Development Programme on “Exploring AI Applications through MATLAB: From Image Processing to Generative AI”, organized by the Department of Artificial Intelligence and Data Science, Jyothi Engineering College (Autonomous), Thrissur, Kerala, from 19th to 23rd May 2025. The FDP provided comprehensive exposure to the application of MATLAB in Artificial Intelligence, covering image processing techniques, machine learning and deep learning workflows, computer vision applications, data analysis and visualization, AI model development and deployment, generative AI concepts, and practical implementation of AI solutions using MATLAB tools and toolboxes. The programme enhanced participants’ understanding of AI-driven problem-solving methodologies and their applications in research, teaching, and real-world scenarios.

Participated in the Five-Day Faculty Development Programme (FDP) on “Artificial Intelligence & Machine Learning” organized by the Department of Artificial Intelligence, MET’S School of Engineering, in association with Pencil Bitz, from 1st October 2024 to 5th October 2024. The programme focused on emerging concepts and applications in Artificial Intelligence and Machine Learning, covering areas such as supervised and unsupervised learning, predictive analytics, neural networks, data-driven decision-making, and practical AI model development.

Participated in the Five-Day National Level Online Faculty Development Programme titled “Generative AI – The Future of Creativity and Automation” conducted from 13th January 2025 to 17th January 2025. The programme was organized by the Department of Computer Science and Engineering, Vidya Academy of Science & Technology, Thrissur, in association with CSI and ISTE. The FDP focused on emerging advancements in Generative Artificial Intelligence, emphasizing creativity, automation, intelligent content generation, AI-powered tools, machine learning models, and practical applications of generative technologies across various domains.

Participated in the Five-Day KTU Sponsored Faculty Development Programme on “Edge Based IoT for Industrial Applications” conducted from 19th January 2023 to 25th January 2023 at Jyothi Engineering College, Cheruthuruthy. The programme was organized by the Department of Computer Science and Engineering in association with the ICT Academy of Kerala. The FDP focused on the fundamentals and industrial applications of Edge Computing and the Internet of Things (IoT), emphasizing smart systems, embedded technologies, industrial automation, real-time data processing, intelligent devices, and emerging trends in Industry 4.0

Participated in the two-day International Workshop on Applications of Stochastic Processes organized by the Department of Basic Science and Humanities, Jyothi Engineering College, Cheruthuruthy, Thrissur, held from 16th January 2024 to 17th January 2024. The workshop focused on the theoretical foundations and practical applications of stochastic processes in engineering, science, data analysis, and decision-making. The sessions highlighted concepts such as probability models, random processes, statistical analysis, uncertainty modeling, predictive techniques, and their relevance in modern technological and research domains.

Participated in the One Week National Level Online Faculty Development Programme on Outcome Based Education and Essential AI Tools for Teachers, organized by the Internal Quality Assurance Cell (IQAC) of Ramakrishna Mission Vivekananda Centenary College (Autonomous), Rahara, Kolkata, in association with the Department of Mathematics, Chaudhary Charan Singh University, Meerut, and co-hosted by IPSR Solutions Limited. The programme was conducted from 14th December 2023 to 20th December 2023 and focused on the principles of Outcome Based Education (OBE), curriculum planning, attainment measurement, assessment strategies, and the effective integration of Artificial Intelligence tools in teaching and learning.

Participated in the Five-Day KTU Sponsored Faculty Development Programme titled “Machine Learning: A Trajectory through the World of Adaptive Algorithms”, conducted from 22nd August 2022 to 26th August 2022. The programme was organized by the Department of Computer Science and Engineering, Jyothi Engineering College, Cheruthuruthy, in association with ICT Academy of Kerala. The programme focused on the fundamentals and recent advancements in machine learning, adaptive algorithms, data-driven decision-making, intelligent systems, and emerging trends in artificial intelligence applications.

Participated in the Five-Day Faculty Development Programme titled “Outcome Based Education (OBE): Adopting Effective Pedagogy”, sponsored by APJ Abdul Kalam Technological University and organized by the Department of Mechanical Engineering, Jyothi Engineering College, Cheruthuruthy, from 30th January 2023 to 3rd February 2023. The programme focused on the principles of Outcome Based Education, effective pedagogical practices, curriculum planning, assessment strategies, student-centered learning approaches, and methods for enhancing teaching effectiveness in higher education.