• MA613 Data Mining (M.Tech., Aug – Nov 2024)
• MA873 Graphical Models and Deep Learning (M.Tech., Jan - April 2024)
• MA624 Advanced Machine Learning (M.Tech., Jan - April 2024)
• MA618 Foundations of Machine Learning (Shared course) (M.Tech., Aug – Nov 2023)
• MA613 Data Mining (M.Tech., Aug – Nov 2023)
• MA873 Graphical Models and Deep Learning (M.Tech., Jan - April 2023)
• MA624 Advanced Machine Learning (M.Tech., Jan - April 2023)
• MA618 Foundations of Machine Learning (Shared course) (M.Tech., Aug – Nov 2022)
• MA613 Data Mining (M.Tech., Aug – Nov 2022)
• MA873 Graphical Models and Deep Learning (M.Tech., Jan - April 2022)
• MA624 Advanced Machine Learning (M.Tech., Jan - April 2022)
• MA618 Foundations of Machine Learning (Shared course) (M.Tech., Aug – Nov 2021)
• MA613 Data Mining (M.Tech., Aug – Nov 2021)
• MA873 Graphical Models and Deep Learning (M.Tech.2nd Semester 2021)
• MA624 Advanced Machine Learning (M.Tech., 2nd Semester 2021)
• MA618 Foundations of Machine Learning (Shared course) (M.Tech., Aug – Nov 2020)
• MA613 Data Mining (M.Tech., Aug – Nov 2020)
• MA873 Graphical Models and Deep Learning (M.Tech., Jan - April 2020)
• MA624 Advanced Machine Learning (M.Tech., Jan - April 2020)
• MA618 Foundations of Machine Learning (Shared course) (M.Tech., Aug – Nov 2019)
• MA613 Data Mining (M.Tech., Aug – Nov 2019)
• MA624 Advanced Machine Learning (M.Tech., Jan - April 2019)
• MA871 Advanced Kernel Methods (M.Tech., Jan - April 2019)
• MA618 Foundations of Machine Learning (Shared course) (M.Tech., Aug – Nov 2018)
• MA613 Data Mining (M.Tech., Aug – Nov 2018)
• MA841 Advanced Learning Models (M.Tech., Jan - April 2018)
• MA622 Pattern Recognition and Machine Learning (M.Tech., Jan - April 2018)
• MA613 Data Mining (M.Tech., Aug – Nov 2017)
• MA867 Reinforcement Learning (M.Tech., Jan - April 2017)
• MA622 Pattern Recognition and Machine Learning (M.Tech., Jan - April 2017)
• MA613 Data Mining (M.Tech., Aug – Nov 2016)
• MA867 Reinforcement Learning (M.Tech., Jan - April 2016)
• MA622 Pattern Recognition and Machine Learning (M.Tech., Jan - April 2016)
• MA613 Data Mining (M.Tech., Aug – Nov 2015)
• CHM613 Mathematical Modeling and Simulation (Topic: Mathematical Modeling) (M.Tech., Aug – Nov 2015)
• MA867 Reinforcement Learning (M.Tech., Jan – April 2015)
• MA622 Pattern Recognition and Machine Learning (M.Tech., Jan – April 2015)
• MA613 Data Mining (M.Tech., Aug – Nov 2014)
• CHM613 Mathematical Modeling and Simulation (Topic: Mathematical Modeling) (M.Tech., Aug – Nov 2014)
• MA622 Pattern Recognition and Machine Learning (M.Tech., Jan – April 2014)
• MA613 Data Mining (M.Tech., Aug – Nov 2013)
• AV215 Computer Organization and DBMS (Topic: DBMS) (B.Tech., July – Nov2013)
• MA643 Data Mining (M.Tech., Jan – April 2013)
• MA311 Probability & Statistics (B.Tech., July – Nov 2012)
• MA614 Pattern Recognition and Machine Learning (M.Tech., Aug – Nov 2012)
• MA643 Data Mining (M.Tech., Feb – May 2012)
• MA614 Pattern Recognition and Machine Learning (M.Tech., Sep – Dec 2011)
• MA869 Intelligent Agents (M.Tech., Feb – May 2011)

Invited Talks

1. Machine Learning Algorithms for Cybersecurity. Talk delivered at the "DRDO Sponsored Two Day Workshop on Explainable AI for Cybersecurity and Resilence, organized by the Thiagarajar College of Engineering, Madurai, on December 16, 2024.
2. Exploring Multi Task Learning and Multi View Learning: Strategies for Enhanced Model Performance: Keynote speech delivered at the 7th International Conference on Recent Trends in Advanced Computing (ICRTAC´24) Theme: Automating Sustainability Bridging SDG Goals with Recent Trends in Advanced Computing, 14 -15 November 2024, Organized by the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, on November 15 2024.
3. Opportunities in Machine Learning in India: Insights into Deep Learning and Kernel Methods. Talk delivered at the "ACM Research Opportunities in Computer Science (ROCS)", Venue: Amrita Vishwa Vidyapeetham, Amritapuri Campus, on October 18, 2024 ./li>
4. Machine Learning Algorithms with Gradient based Optimisation Techniques. Talk delivered at the "Three - Day International workshop on Mastering Optimization: Machine Learning Models and Real-World Applications on Data", 10th -12nd October 2024, organized by the School of Advanced Sciences and Languages- Mathematics Division, VIT Bhopal University, on October 11, 2024.
5. Regression and Classification Models: Their Optimization Frameworks and Solutions: Talk delivered at the Faculty Development Program on Scientific Computing and Machine Learning, 26th to 30th August 2024, organized by the Vellore Institute of Technology, Vellore, on August 26, 2024.
6. Learning with Data: Talk delivered at the "IEEE CIS Summer School on Computational Intelligence Techniques for Engineering Applications", organized by the Thiagarajar College of Engineering, on June 16, 2024.
7. Probabilistic Models:Talk delivered at the '5-day Faculty Development Programme on Theoretical Machine Learning, May 27-31, 2024,' organized by the Department of Computer Science and Engineering, Indian Institute of Information Technology Kottayam, on May 29, 2024.
8. Kernel collaborative online algorithms for multi-task learning: Keynote speech delivered at the International Conference on Computations and Data Sciences (CoDS-2024), March 08-10, 2024, Organized by the Department of Mathematics, IIT Roorkee, in collaboration with iHUB DivyaSampark, IIT Roorkee, India, on March 10, 2024.
9. Machine Learning Algorithms: Talk delivered at the "2 Day Seminar on Applications of Linear Algebra in Machine Learning", Organized by the Department of Mathematics, Anchal, Kollam, on February 27, 2024.
10. Supervised and Unsupervised Machine Learning Algorithms: Talk delivered at the "3 Day Workshop on Foundations of Machine Learning", Organized by the Space Physics Laboratory, VSSC & IIST, on February 15, 2024.
11. Introductory Concepts of Machine Learning: Talk delivered at the "Berchmans Lecture Series in Mathematics (BLSM 2024)", Organized by the Department of Mathematics, St Berchmans College, Changanassery, Kerala, on January 31, 2024.
12. Fundamentals of Machine Learning: Talk organized by the IEEE Education Society Student Branch Chapter IIST, on September 25, 2023.
13. Introduction to Machine Learning: Talk delivered at the "Online International workshop on Computational Intelligence 2023 (IWCI’23)", Organized by the Amrita School of AI, Amrita Vishwa Vidyapeetham, Coimbatore, on August 08, 2023.
14. Learning with Data: Talk delivered at "NuMaTs – Nurturing Mathematics Talent in Students", organized by SCERT Kerala, on May 27, 2023.
15. Introduction to Statistical Modeling: Talk delivered at the "Two-day National Workshop on Research Issues and Challenges in Statistical Modeling and Analysis", Organized by the School of Computer Science and Engineering, Vellore Institute of Science and Technology, Chennai on May 12, 2023.
16. Neural Network and its Applications: Talk delivered at the "Three day National Conference on Operations Research, Differential Equations, Numerical Analysis, Computing and Applications", Organized by the Department of Mathematics, Science and Humanities, Mohandas College of Engineering and Technology, Thiruvananthapuram on March 25, 2023.
17. Machine Learning and its Applications: Talk delivered at the "International Conference on Advanced Information Science and Computing Systems", Organized by The Department of Computer Science and Applications, Christ Nagar College, Thiruvananthapuram on January 28, 2023.
18. Machine Learning: Talk delivered at the "National Workshop on Recent Trends in Discrete Mathematics", Organized by IQAC and Department of Mathematics, Catholicate College, Pathanamthitta on December 20, 2022.
19. Introduction to Machine Learning: Talk delivered at the "TEQIP sponsored Online Short-Term Training Programme on 'AI Applications In Power Systems'", Organized by Department of Electrical Engineering, Government Engineering College, Thrissur on December 19, 2022.
20. Introduction to Machine Learning & Mathematics Behind Machine Learning: Talk delivered at the "SERB Karyashala: High-end workshop on Application of Artificial Intelligence in Power System Operation and Control", Organized by Department of Electrical Engineering, National Institute of Technology Calicut on July 25, 2022.
21. Mathematical Foundations for Data Science: Talk delivered at the "PG Enrichment Programme & Bridge Course for MSc. Mathematics 2022 Admission", Organized by Department of Mathematics, Cochin University of Science and Technology on July 19, 2022.
22. Machine Learning and its Applications: Talk delivered at the "International Conference on Mathematics, Statistics and Data Science", Organized by Department of Mathematics, Statistics and Data Science on February 27, 2022.
23. Mathematical Fundamentals of various ML Algorithms: Talk delivered at the "6-day online AICTE-ISTE sponsored Online FDP on AI in Energy and Power Utilities", Organized by Department of Electrical and Electronics Engineering, Mar Baselios College of Engineering and Technology, Thiruvananthapuram on January 19, 2022.
24. Google Page Ranking: Talk delivered at the "National Mathematics Day Celebrations", Organized by Department of IT and ACM Student Chapter, Thiagarajar College of Engineering, Madurai, on December 22, 2021.
25. Data Science: Field of Mathematics: Talk delivered at the "National Mathematics Day Celebrations", Organized by Department of Mathematics, Mar Thoma College for Women, Perumbavoor, on December 18, 2021.
26. Mathematical Foundations of Machine Learning and Deep Learning: Talk delivered at the "KTU sponsored FDP on Research Perspectives of Machine Learning & Deep Learning for Signal Processing Applications", Organized by Department of Electronics & Communication Engineering, Sree Chitra Thirunal College of Engineering, Trivandrum, on September 06, 2021.
27. Introduction to Deep Learning: Talk delivered at the "KTU sponsored 3 Day Online FDP on Data Analytics using R”, Organized by Department of Computer Science and Engineering, Thangal Kunju Musaliar Institute of Technology, Kollam, on June 25, 2021.
28. Machine Learning: Talk delivered at the "Refresher Course in Data Analytics and Machine Learning", Organized by the Human Resource Development Centre, University of Kerala, on February 24, 2021.
29. Theory of Kernel Methods: Talk delivered at the "TEQIP course on Essential Mathematics for Machine Learning", Organized by the Department of Mathematics, Indian Institute of Technology (IIT) Roorkee, on November 26, 2020.
30. Introductory Concepts in Machine Learning: Talk delivered at the "Online AICTE Training and Learning (ATAL) faculty development program on Application of Artificial Intelligence in Power System Operation and Control", Organized by the Department of Electrical Engineering, National Institute of Technology (NIT) Calicut, on November 09, 2020.
31. IOT Applications in Machine Learning: Talk delivered at the "Five day online ATAL sponsored faculty development program on Secure and Intelligent IoT System Design", Organized by the Department of Electronics and Communication, College of Engineering, Kallooppara, on September 18, 2020.
32. Pattern Discovery and Data Mining: Talk delivered at the "Webinar Series in Artificial Intelligence", Organized by VSSC, Thiruvananthapuram, on September 03, 2020.
33. Introduction to Machine Learning: Talk delivered at the "National Workshop on Deep Learning” (NWDL'2020)", Organized by the Department of Computer Science and Research Centre, University of Kerala, Kariavattom, Thiruvananthapuram, on January 13, 2020.
34. Machine Learning and Neural Networks: Talk delivered at the "KTU Sponsored FDP on Computer Vision and Machine Learning", Organized by the Department of Computer Science and Engineering and Department of Information Technology College of Engineering, Perumon, on July 24, 2019.
35. Machine Learning and its Applications: Talk delivered at the "AICTE-QIP Sponsored One Week Short Term Course on Research Issues and Challenges in Data Science and Big Data Analytics", Organized by Department of Information Technology, Thiagarajar College of Engineering, Madurai, on March 20, 2019.
36. Advanced Machine Learning: Talk delivered at the "AICTE Sponsored 5 Day Workshop on Artificial Intelligence and Machine Learning", Organized by Additional Skill Acquisition Programme (ASAP), at Barton Hill College of Engineering, Trivandrum, on February 25, 2019.
37. Machine Learning: Talk delivered at the "UGC Sponsored Refresher Course in Mathematics and Statistics", Organized by the UGC-Human Resource Development Center, Bharathiar University, Coimbatore, on February 23, 2019.
38. Fundamental Algorithms in Machine Learning and its Research Perspectives: Talk delivered at the "Faculty Development Programme on Research Trends in Biomedical and Satellite Image Processing", Organized by the Department of Computer Science & Engineering, TKM College of Engineering, Kollam, on January 04, 2019.
39. Basic Machine Learning Algorithms: Talk delivered at the "AICTE-ISTE Sponsored One Week Refresher Programme on Deep Learning", Organized by the Department of Computer Science & Engineering, College of Engineering, Muttathara, Thiruvananthapuram, on December 12, 2018.
40. Machine Learning Algorithms: Talk delivered at the "TEQIP Two day Workshop on Recent Trends and Research Challenges in Deep Learning", Organized by Thiagarajar College of Engineering, Madurai, on August 30, 2018.
41. Kernel Algorithms: Talk delivered at the "Training Programme on Artificial Intelligence", Organized by VSSC, Thiruvananthapuram, on August 20, 2018.
42. Supervised and Unsupervised Learning: Talk delivered at the "Training Programme on Artificial Intelligence", Organized by VSSC, Thiruvananthapuram, on August 16, 2018.
43. Regression Algorithms: Talk delivered at the "Faculty Development Program on Artificial Intelligence and Machine Learning", Organized by the Electronics and Communication Department, Mohandas College of Engineering, Thiruvananthapuram, on July 17, 2018.
44. Mathematical Foundations of Machine Learning Algorithms: Talk delivered at the "Faculty Development Program on Machine Learning", Organized by the Department of Computer Science, St. Thomas College of Engineering & Technology, Kozhuvalloor - Chengannur, on July 13, 2018.
45. Kernel Deep Learning: Talk delivered at the "Short Term Course on Deep Learning and Applications", Organized by the Center for Interdisciplinary Research, College of Engineering, Trivandrum, on April 19, 2018.
46. Learning with Data: Talk delivered at the "Workshop on Statistical Methods for (Astro) Physics", Organized by Pure & Applied Physics, Mahatma Gandhi University, on March 16, 2018.
47. Kernel Methods: Talk delivered at the "National Seminar on Machine Intelligence", Organized by the Department of Computer Science, University of Kerala, on March 28, 2017.
48. Classification Algorithms: Talk delivered at the "TEQIP II Sponsored Faculty Development Programme on Recent Trends in Signal Processing", Organized by the Department of Electronics and Communication Engineering, College of Engineering, Cherthala, on March 03, 2017.
49. Support Vector Machines: Talk delivered at the "TEQIP II Sponsored Research Colloquium on Recent Advances in Soft Computing", Organized by the Department of Computer Science & Engineering and Information Technology, College of Engineering, Kidangoor, on February 27, 2017.
50. Introduction to Data Mining: Talk delivered at the "TEQIP II Sponsored Faculty Development Programme on Mathematics for Engineers", Organized by the Department of Applied Science, College of Engineering, Adoor, on January 20, 2017.
51. Pattern Recognition & Machine Learning Methods for Image Processing: Talk delivered at the "Faculty Training Programme on Tools and Techniques In Image Processing", Organized by the Department of Computer Engineering, College of Engineering, Chengannur, on January 18, 2017.
52. The Framework of Kernel Methods: Talk delivered at the "National Workshop on Machine Learning and Big Data", Organized by the Department of Computer Science, Amrita School of Engineering, Amritapuri Campus, on June 09, 2016.
53. Optimization Techniques in Machine Learning: Talk delivered at the "TEQIP II Sponsored Faculty Development Programme on Contemporary Developments in Optimization Techniques and its Applications", Organized by the Department of Computer Application and Department of Electrical & Electronics Engineering, TKM College of Engineering, Kollam, on May 20, 2016.
54. Mathematics of Kernel Methods: Talk delivered at the "TEQIP II Sponsored Short Term Training Programme in Mathematical Models in Data Mining", Organized by the Division of Applied Sciences & Humanities, School of Engineering, Cochin University of Science and Technology, on April 04, 2016.
55. Linear Algebra Applications in Computer Vision: Talk delivered at the "Workshop on Computer Vision: Techniques & Applications", Organized by the Department of Computer Science & Engineering, College of Engineering, Karunagappally, on March 17, 2016.
56. Supervised Learning Algorithms: Talk delivered at the "TEQIP II Sponsored Faculty Training Programme on Advancements And Algorithms In Image Processing", Organized by the Department of Computer Science & Engineering, College of Engineering, Karunagappally, on January 28, 2016.
57. Theory of Kernel Methods: Talk delivered at the "AICTE Sponsored 14 Days Summer School Faculty Development Training Programme on Soft Computing Techniques for the Engineering Research and its Applications (SCTERA’15)", Organized by the Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, on June 12, 2015.
58. Applications of Machine Learning in the field of Biomedical Engineering: Talk delivered at the "National Seminar on Transforms and Medical Data Interpretation", Organized by the Department of Biomedical Engineering, Sri Ramakrishna Engineering College, Coimbatore, on February 18, 2015.
59. Applications of Machine Learning in the field of Image Processing: Talk delivered at the "Short term training programme on Digital Image Processing", Organized by the Department of Computer Science and Engineering, Rajiv Gandhi Institute of Technology, Kottayam, from January 05 to January 09, 2015.
60. Regression prediction model: Talk delivered at the "Short term training programme on Predictive Analytics", Organized by the Department of Computer Science and Engineering, Rajiv Gandhi Institute of Technology, Kottayam, from June 25 to June 27, 2014.
61. Methods for Knowledge Extraction: Talk delivered at the "Faculty Development Programme on Soft Computing", Organized by the Department of Computer Science, Government Engineering College, Sreekrishnapuram, from January 09 to January 11, 2014.
62. Algorithms for Mining the Web: Talk delivered at the "National Seminar on Computing and Communication", Organized by the School of Computer Sciences, Mahatma Gandhi University, on December 13, 2013.
63. Introduction to Machine Learning Algorithms: Talk delivered at the "Five-day Course on Spatial Statistical Tools in Data Processing and Analysis", Organized by the Systems Science & Informatics Unit, Indian Statistical Institute, Bangalore, from November 26 to November 30, 2012.
64. RKHS Methods in Machine Learning: Talk delivered at the "National Conference on Applied Linear Algebra and Transform Techniques", Organized by the Department of Sciences and Humanities, Mar Baselios College of Engineering and Technology, Thiruvananthapuram, from July 10 to July 11, 2012.
65. Function Approximation in RKHS: Talk delivered at the "National Conference on Mathematics of Soft Computing", Organized by the Department of Mathematics, National Institute of Technology, Calicut, from July 05 to July 07, 2012.
66. Introduction to Machine Learning: Talk delivered at the "Short Term Course on Soft and Evolutionary Computing", Organized by the Department of Avionics, Indian Institute of Space Science and Technology, Thiruvananthapuram, from December 19 to December 21, 2011.

Session Chair

1. Session on Computing, International Conference on Computing, Communication and Signal Processing (ICCCSP-2016), organized by the Department of Electronics and Communication Engineering and the Department of Computer Science and Engineering of College of Engineering Karunagappally, 8 July 2016.
2. Women in Computing Symposium, IEEE International Conference on Recent Advances in Intelligent Computational Systems 2015, 10 December 2015.
3. Session on Big Data, IEEE International Conference on Recent Advances in Intelligent Computational Systems 2013, 20 December 2013.

• RKHS
• Kernel Online Learning
• AdaBoost
• Linear Regression
• Gaussian Mixture Models

Interested candidates may send  the resume and research statement.