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Sumithmon KS

/Sumithmon KS
Sumithmon KS 2025-07-05T06:42:15+00:00

Prof.Sumithmon KS

Assistant Professor
Department of Computer Applications
Mobile Number: +91 9562373008
Email:sumithmarar@gmail.com
Date of Joining:03.01.2018
Nature of association: Regular

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  1. KS Sumithmon and Rahul Shajan, “Enhancing E-Commerce Book Suggestions: A Performance Analysis of KNN-Based Recommendation Algorithms,” Conference Proceedings of Iteratia, MACFAST, March 2025.
  2. KS Sumithmon, “Transforming Parkinson’s Disease Diagnosis with AI-Driven Multimodal Analysis,” Proceedings of Iteratia Conference on Emerging Trends in AI and Business Management, Mar Athanasios College for Advanced Studies, Tiruvalla, March 6–7, 2025.
  3. KS Sumithmon and Rahul Shajan, “Evaluating Similarity Measures in Collaborative Filtering: Insights into Accuracy, Precision, and Computational Performance,” GEM Journal, vol. 4, no. 1, pp. 99–, December 2024.
  4. KS Sumithmon and Rahul Shajan, “Comparative Analysis of Collaborative Filtering Algorithms for Book Recommendations Using SVD++,” Proceedings of the International Conference on Artificial Intelligence and Machine Learning, 2025.
  5. KS Sumithmon and Rahul Shajan, “Evaluating Similarity Measures in Collaborative Filtering: Insights into Accuracy, Precision, and Computational Performance,” GEM Journal, vol. 4, no. 1, pp. 99–, 2024.
  6. KS Sumithmon and Rahul Shajan “Enhancing Book Recommendation Systems: A Comprehensive Review of Techniques and Evaluation Metrics,” Proceedings of the National Seminar on Artificial Intelligence and Machine Learning, 2023.
  7. KS Sumithmon and Rahul Shajan “Addressing the Sparsity Challenge in Collaborative Filtering: Causes, Implications, and Solutions,” SJCET Journal of Engineering and Management, vol. 17, no. 2, pp. 2–11, 2023.
  1. Android Developer Fundamentals, Mangalam College of Engineering, Ettumanoor (17–21 July 2018)
  2. Python for Artificial Intelligence and Machine Learning, TKM College of Engineering, Kollam (8–13 July 2019)
  3. National Conference on Predictive Analysis, Saintgits College of Engineering, Kottayam (9–19 October 2019)
  4. Robotics and Automation, VIT Chennai (13–18 July 2020)
  5. Recent Trends and Advancements in IT, Federal Institute of Science and Technology, Ernakulam (27 July–1 August 2020)
  6. Blockchain Fundamentals, Saintgits College of Engineering, Kottayam (24–29 August 2020)
  7. Blockchain Application, Saintgits College of Engineering, Kottayam (25–27 August 2020)
  8. System Administration and Networking Using FOSS Tools, College of Engineering, Attingal (18–20 May 2021)
  9. Mentoring and Thinking Skills for Engineering Faculty, Amal Jyothi College of Engineering, Kanjirappally (1–3 September 2021)
  10. Mathematical Foundation for Machine Learning, Sree Buddha College of Engineering, Pattor (22–26 November 2021)
  11. IoT – A Practical Approach, Maharaja Surajmal Institute of Technology (6–10 December 2021)
  12. Insight of Research, Publication, and Patent Filing, Carmel College of Engineering and Technology, Punnapra (20–22 April 2022)
  13. Advanced Research and Quality Publication, Federal Institute of Science and Technology, Ernakulam (29 August–2 September 2022)
  14. Blockchain Technology and Its Application, St. Joseph’s College of Engineering and Technology, Palai (16–20 January 2023)
  15. Online FDP on Data Science using Python, Mangalam College of Engineering, Ettumanoor (24–26 January 2023)
  16. Nature Inspired Machine Learning Techniques in IoT, Amal Jyothi College of Engineering, Kanjirappally (22–24 March 2023)
  17. Deep Learning, NPTEL (1 January–19 April 2023)
  18. How to Write and Publish a Research Paper?, SRM University, Andhra Pradesh (19 August 2023)
  19. AI Trends and Use Cases – Contemporary and Future, FISAT (25–30 September 2023)
  20. National Seminar and Workshop on AI and ML, BMC Thrikkakara (15–17 November 2023)
  21. Optimizing the Computer Science Research Process: Enhancing Paper Writing and Funding, VET IAS College, Erode (23–30 November 2023)
  22. AI Trends and Industry Use Cases – Contemporary and Future, FISAT in association with TCS, Kochi (25–30 September 2023)
  23. Research Applications in AI and ML, ATAL FDP at SJCET Palai (8–13 January 2024)
  24. Exploring Computational Intelligence, VIT-AP University, Andhra Pradesh (16–20 July 2024)
  25. NPTEL FDP: Essential Mathematics for Machine Learning (12 weeks), July–October 2024
  26. AI Applications through MATLAB, Jyothi Engineering College with CoreEL Technologies & MathWorks (19–23 May 2025)
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  1. Introduction to Internet of Things, Jan–Apr 2020 – MOOC – NPTEL SWAYAM
  2. Deep Learning – IIT Roorkee, Jan–Apr 2023 – MOOC – NPTEL SWAYAM
  3. Machine Learning and Deep Learning, Jul–Oct 2023 – MOOC – NPTEL SWAYAM
  4. Essential Mathematics for Machine Learning, Jul–Oct 2024 – MOOC – NPTEL SWAYAM
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