| Core Discipline | : | Computer Science |
| Areas of Expertise | : | Machine Learning, Image Processing |
| Research Interests | : | Machine Learning, Image Processing, Linear Algebra |
| Academic Experience | : | 11.4 years |
| Location / Campus | : | Onakkoor (Ernakulam) |
Dr. Resmi N.G. holds a Ph.D. in Computer Science from Amrita Vishwa Vidyapeetham University, Coimbatore, Tamilnadu for her research in the area of Source Code Plagiarism Detection. She has co-authored the book titled “Insight into Wavelets From Theory to Practice”. She has also published several papers in international journals and conferences. She has served as reviewer for several international journals and conferences. She has delivered invited lectures for many faculty development programmes. Her research interests include machine learning, image processing and linear algebra.
Educational Qualifications
• Ph.D. (Computer Science) – Amrita Vishwa Vidyapeetham University – 2014 (2014)
• NET (Assistant Professor in Computer Science & Applications) – UGC (2018)
• M.Tech. (Computational Engineering and Networking) – Amrita Vishwa Vidyapeetham University (2008) (1st Rank)
• B.Tech. (Computer Science and Engineering) – Cochin University of Science and Technology (2005)
Professional Experience (Research/Teaching/Industry)
• Associate Professor – Muthoot Institute of Technology and Science (Nov 2021 – June 2023)
• Assistant Professor – Muthoot Institute of Technology and Science (May 2015 – Oct 2021)
• Assistant Professor – Sahrdaya College of Engineering and Technology (Nov 2011 – Oct 2012)
• Research Scholar (Ph.D.) – Amrita Vishwa Vidyapeetham University (Aug 2009 – Dec 2014)
• Research Associate – Amrita Vishwa Vidyapeetham University (July 2009 – Nov 2011)
• Tata Consultancy Services Ltd. – Assistant Systems Engineer Trainee (Oct 2008 – July 2009)
MEMBERSHIP/POSITIONS IN PROFESSIONAL BODIES
• ACM Member (2015 – present)
INTERNATIONAL JOURNALS (6)
• Resmi, N.G., & Fasila, K.A. (2017). E-waste Management and Refurbishment Prediction (EMARP) Model for Refurbishment Industries, Journal of Environmental Management, Elsevier, 201(1), 303–308 (SCI-E, Impact Factor 4.01)
• Resmi N.G., Aiswarya Shajan, Jerin Jose, Jerin Peter George, & Harikrishnan, M. (2021). Solid Waste Tracking and Route Optimization using Geotagging and K-means Clustering, International Journal of Applied Engineering Research,16(8), 633-639.
• Resmi, N.G., & Soman, K.P. (2014). Multiresolution Analysis of Source Code using Discrete Wavelet Transform, International Journal of Applied Engineering Research, 9(22) (Scopus)
• Resmi, N.G., & Soman, K.P. (2014). Abstract Syntax Tree Generation using Modified Grammar for Source Code Plagiarism Detection, International Journal of Computing and Technology, 1(6), 319-326.
• Resmi, N. G., & Soman, K.P. (2013). Discrete Wavelet Transform Based Source Code Plagiarism Detection, European Journal of Scientific Research, 107(2), 240-255.
• Resmi, N. G., & Soman, K.P. (2012). Abstract Syntax Trees with Latent Semantic Indexing for Source Code Plagiarism Detection, International Journal of Advanced Research in Computer Science, 3(3), 546-550.
BOOKS PUBLISHED (1)
• Soman, K.P., Ramachandran, K.I., & Resmi, N.G. (2010). Insight into Wavelets from Theory to Practice, 3rd Edition, PHI Learning Pvt. Ltd., New Delhi.
INTERNATIONAL CONFERENCES (3)
• Alisha A., Amaldev C.V., Aysha Dilna D.A., Subin S., Resmi N.G., & Sreenu G. (2022). Photo-Realistic Virtual Try-On with Enhanced Warping Module. In: Shakya S., Balas V.E., Kamolphiwong S., Du KL. (Eds.), Sentimental Analysis and Deep Learning. Advances in Intelligent Systems and Computing, 1408. Springer, Singapore. https://doi.org/10.1007/978-981-16-5157-1_66
• Venugopal A., Justin F., Santhosh L., Binny R., & Resmi N. G. (2021). An Efficient Fire Detection System Using Support Vector Machine and Deep Neural Network. In: Shukla S.K., Chandrasekaran S., Das B. B., Kolathayar S. (Eds.), Smart Technologies for Sustainable Development. Lecture Notes in Civil Engineering, 78, Springer, Singapore (Conference proceedings).
• Aiswarya Shajan, M. Harikrishnan, Jerin Peter George, Jerin Jose, & Resmi N.G. (2017). Q-Pay: Android Application for Smart Payment, International Conference on Electrical, Electronics and Computer Science (ICEECS), July 2016 (Proceedings published in International Journal of Advances in Electronics and Computer Science, 4(9), 120-122.
KEYNOTE/ GUEST/ ACADEMIC LECTURES/SESSIONS (8)
• Guest Lecture – ‘Machine Learning Models for Classification’ for Five Day FDP on Demystifying Machine Learning Algorithms hosted by Department of Artificial Intelligence and Data Science, Muthoot Institute of Technology and Science (10th – 14th October 2022)
• Guest Lecture – Introduction to Linear Algebra in Machine Learning for a one-week AICTE Training and Learning (ATAL) Academy sponsored online FDP on Mathematical Foundation for Machine Learning organized by Sree Buddha College of Engineering (22nd – 26th November 2021)
• Guest Lecture – The Art of Writing a Research Paper at Mahaguru Institute of technology (11th November 2021)
• Guest Lecture – ‘Introduction to NLP’ for one week FDP on Artificial Intelligence in Natural Language Processing hosted by Muthoot Institute of Technology and Science (8th – 12th February 2021)
• Academic Lecture for a one-week in-house FDP on C Programming at Muthoot Institute of Technology and Science (27th November – 4th December 2019)
• Guest Lecture – ‘Machine Learning – Classification Models’ for a one-week FDP on Embedded Systems and Data Mining organized by Department of CSE, Viswajyothi College of Engineering and Technology in association with R&D, ISTE, and CSI (10th – 16th January 2019)
• Guest Lecture – ‘Image Processing with MATLAB’ for a one-week FDP on Frontiers of Computer Applications organized by Dept. of CSE, Viswajyothi College of Engineering and Technology in association with ISTE Chapter and R&D of VJCET (16th – 20th July 2018)
• Guest Lecture – ‘Python for Deep Learning’ for a one-week FDP on Deep Learning for Computer Vision organized by the Department of Computer Science and Engineering, Muthoot Institute of Technology and Science from 9th – 13th Jan. 2018.Academic Guest Lecture on Research in Education: Theory and Praxis organised by Global Researchers Association and Convergence for Excellence (GRACE) Inc., Philippines (2022)
AWARDS & HONOURS
• First Rank for M.Tech., Amrita Vishwa Vidyapeetham University (2008)
• All India First Rank for Social Science in A.I.S.S.E. (1999)
• Certificate of Excellence for Poetry Competition awarded by Epic Literary Council, Pune (2011)
RESEARCH PROJECTS
• Jalamithra – Proposal accepted by CSIR HRDG (14 Lakhs) (January 2023)
PATENTS AND INNOVATIONS
• Copyright granted by Govt. of India – One-Stop Secure Digital Payment Application based on Single Use Pin Generation (April 2022)
CONSULTANCY AND TRAINING
• Coordinator – TECHSHAKTHI 1.0, an initiative by Honourable MLA, Adv. P.V. Srinijin, for the skill improvement of women of Kunnathunad Constituency (October – December 2022)
• Coordinator – IT Upskill Programme for the skill improvement of senior managers and employees of The Muthoot Group (January – April 2022)
Ph.D. Supervision
• Guiding 2 Ph.D. research scholars under APJ Abdul Kalam Technological University, Kerala (2022 – present)
FDP/Workshops Organized
• Organizing committee member and Track Coordinator, 8th International Conference on Smart Computing and Communications ICSCC 2021, organized by Muthoot Institute of Technology and Science during (July 2021)
• Organized a one-week FDP on Research Trends in Computer Science at Muthoot Institute of Technology and Science (July 2019)
FDP/Workshops Attended (18)
• Online FDP on Deep Learning: Models and use cases using Python, organized by E&ICT Academy NIT Warangal and Indian Institute of Information Technology Kottayam (12th – 21st December 2022)
• One week FDP on ‘Demystifying Machine Learning Algorithms’ hosted by Department of Artificial Intelligence and Data Science, Muthoot Institute of Technology and Science (10th – 14th October 2022)
• One week FDP on Cyber Security and Cyber Forensics organized by Department of Computer Science & Engineering, Sahrdaya College of Engineering & Technology (6th to 10th September 2021)
• Two-week online FDP on Emerging Optimization Techniques for Engineering Applications organized by IIITDM Kurnool (19th – 30th April 2021)
• One week FDP on Analysis and Implementation of Data Security on Hosts and Networks at Muthoot Institute of Technology and Science (10th – 15th May 2021)
• 3-day FDP on Systemizing Research – Problem Finding to Patenting organized by RSET (29th – 31st March 2021)
• One week FDP on Artificial Intelligence in Natural Language Processing at Muthoot Institute of Technology and Science from (8th – 12th February 2021)
• One week FDP on Research Trends in Computer Science at Muthoot Institute of Technology and Science (2nd – 6th July 2019).
• Certified with Artificial Intelligence Analyst 2019 Mastery Award after a one-week FDP on Artificial Intelligence by IBM at Muthoot Institute of Technology and Science in June 2019.
• Two-day FDP on Machine Learning with R-Programming at Muthoot Institute of Technology and Science (25th – 26th August 2017)
• One-day FDP NPTEL Workshop at Federal Institute of Science and Technology (20th July 2017).
• Three-day FDP on Discrete Mathematics and Graph Theory at Adi Shankara Institute of Engineering and Technology (27th – 29th June 2017)
• One week FDP on Theory of Computation at Sahrdaya College of Engineering and Technology (29th November– 3rd December 2016)
• One week FDP on Big Data Analysis using Apache Spark and Map Reduce by Division of Computer Engineering, School of Engineering, CUSAT (16 – 20 November 2015)
• Two-day FDP on Robotics and Embedded Systems by MITS Innovation Center, Muthoot Institute of Technology and Science, June 4-5, 2015.
• One week FDP on Concepts Coaching conducted by ICT Academy of Kerala (11th May 2015 – 13th May 2015)
• One-week Instructional workshop on Mathematical Modeling and Simulation at Kalasalingam University (July 7th – 14th, 2010)
• Distinguished Lecture on Emerging Wireless Networks : Technologies and Approaches by Dr. Lakshminarayanan Subramanian, Professor of Computer Science, New York University at Amrita Vishwa Vidyapeetham University (6th July 2007)
Certificate Courses (10)
• Ongoing – Google Data Analytics Professional Certification Course
• Coursera course Mathematics for Machine Learning: Linear Algebra (August 2021)
• Coursera Specialization course AI Foundations for Everyone (July 2019)
• NPTEL-AICTE FDP course on Artificial Intelligence: Knowledge Representation and Reasoning (Jan-April 2019)
• Coursera course by Andrew Ng on Machine Learning completed with a grade of 97.3% (September-December 2018)
• Coursera course by Andrew Ng on Neural Networks and Deep Learning completed with a grade of 96.5%. ((23rd September 2018)
• Udemy course on Learn MATLAB with Image Processing from Scratch! (19th June 2018)
• Stanford University online course on Advanced MATLAB for Scientific Computing completed with a score of 83% (11th June 2018)
• Udemy course on Data Science: Deep Learning in Python (6th December 2017)
• Udemy course on Deep Learning Prerequisites: The Numpy Stack in Python (28th November 2017)
• NPTEL online certification course on Programming, Data Structures and Algorithms using Python with a score of 85% (Elite), (July-September 2017)
PUBLIC ENGAGEMENTS (ARTS/SPORTS/LITERARY/Other – if any)
• Written and directed a Malayalam short film and directed an associated music video (Won awards in several international film festivals) (2022).
OTHER ENGAGEMENTS
• Owns a company – HRA Enterprises (2022).