Dr. K. Thenmozhi – She is working as an Assistant Professor at the School of Computer Science and Engineering, RV University, Bangalore, Karnataka and India. She holds a Doctoral Degree (Ph.D.) in Computer Science in 2020 from Anna University, Chennai, Tamil Nadu, India. She done her Master of Computer Applications (MCA) degree in 2010 from the same university, following her undergraduate studies in Physics (B.Sc.), which she completed in 2007 at Bharathidasan University, Tiruchirappalli, Tamil Nadu.
She is a dedicated and passionate educator with 11 years of teaching experience in higher education, specializing in Computer Science. Committed to fostering student success via dynamic lectures, innovative teaching strategies, and effective classroom management. Demonstrates a strong ability to simplify complex concepts and motivates students to excel both academically and in research.
She has published approximately 30 research articles in reputed journals and conferences, with more than 15 of them indexed in Scopus with good impact factor. Her commitment to innovation is also reflected in her two published patents. In addition, she has contributed as a reviewer for Scopus-indexed journal and IEEE conferences. She was honored with the Best Faculty Award at Selvam College of Technology, Namakkal, during the academic year 2017–2018. Additionally, she has served as a mentor for two NPTEL courses and received certificates recognizing her contributions. An active member of various professional bodies, she has also participated in numerous Faculty Development Programs, seminars, and workshops. Her research interests include Machine Learning, Distributed Clustering, Bioinformatics, Soft Computing, and related areas.
A Genuine Smile in Joy or Adversity, Turns Sorrow to Strength and Brightens Life
EmpoweringBreast Cancer Detection with AI : A Modified Support Vector Machine Approach for Improved Classification Accuracy, ICOCECA,2024
A novel deep learning method for identification of cancer genes from gene expression dataset, Research Anthology on Bioinformatics, Genomics, and Computational Biology, 62-77 , 2024
Powering IoT systems with 5g wireless communication: A comprehensive review, 2023 8th International Conference on Communication and Electronics Systems,2023. [
A Smart Air Pollutants Monitoring System Using IOT Technologies, IEEE Xplore, 2023
Asthma disease risk prediction using machine learning techniques, IEEE Xplore,2023.
Drug Consumption Detection By Eye Using Image Processing Techniques, IEEE Xplore,2023.
Hate Speech Analysis using Supervised Machine Learning Techniques, IEEE Xplore,2023.
Examination of Water Impurities Using IoT and Machine Learning Techniques,IoT Based Control Networks and Intelligent Systems: Proceedings of 3rd ICICNIS 2022, Springer Nature Singapore, 675-687
IoT based Soil Nutrients Analysis and Monitoring System for Smart Agriculture, 3rd International Conference on Electronics and Sustainable Communication System (ICESC 2022) during 17-19, August 2022.
Fruits Quality Detection using Deep Learning Models: A Meta-Analysis, 3rd International Conference on Electronics and Sustainable Communication System (ICESC 2022) during 17-19, August 2022.
IoT Technologies for Precision Agriculture: A Survey, 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), 2022
An Approach to Reduce Overloading in Distributed Clustering using VACC Approach, Indian Journal of Natural Sciences,Vol.13(71),2022,pp.
Sensor based smart agriculture with IoT technologies: a review, ICCCI, IEEE Xplore,2024
Scrutiny of Creativity and Artificial Intelligence in Real world, Indian Journal of Natural Sciences,Vol.13(71),2022,pp.
High Peak to Low Peak Analysis using Emitted Sound Signal in Tool Wear Monitoring, Indian Journal of Natural Sciences,Vol.13(71),2022,pp.
Projected Grid based Resource Recommended System to Improve Metric Performance during clustering of Networks, Journal of the oriental Institute, Vol. 71(1),2022, pp. 150-155
Big data Analytics: Stream Processing in IoTSG, Recent Trends in Computer Science, IOTA ,2022
Analyzing the Impact of Inflammatory Bowel Disease (IBD) by using R-Programming JP Journal of Biostatistics, Vol. 19 (1),2022 pp. 123-144.
Hybrid Machine Learning Models for Distributed Biological Data in Multi-Cloud Environment, EAI/Springer Innovations in Communication and Computing, Rajganesh Nagarajan et al. (Eds): Operationalizing Multi-Cloud Environments, 978-3-030-74401-4, 503533_1_En,2022, pp. 19-29
Adaptive Fuzzy with Enhanced Genetic Algorithm Diagnosing Breast Cancer, Karpagam JCS, Vol.16 (1), 2021, pp.32-37
Webworm Espionage Application to Detect Unnoticed Malpractices in a System, Karpagam JCS, Vol.16 (1),2021, pp.28-31
A novel deep learning method for identification of cancer genes from gene expression dataset : Machine Learning and Deep Learning in Real-Time Applications, Vol. 9, 2020, pp.129-144.
Skin Cancer Classification towards Melanoma Detection with Deep Learning Techniques: International Journal of Advanced Science and Technology, Vol. 29 (9s), 2020, pp. 3911 - 3918.
Performance Study of Classification Algorithms Using the Microarray Breast Cancer Dataset : International Journal of Future Generation Communication and Networking, Vol. 13(2), 2020 .
Hybrid Bee Colony and Weighted Ranking Firefly Optimization for Cancer Detection from Gene Regulatory Sequences: International Journal of Scientific & Technology Research, Vol. 9 (1), 2020, pp.2459 -2467.
Irrigation control system in lemon farming based on internet of things using heterogeneous sensors: Karpagam JCS, Vol. 13, 2019, pp.269- 273.
Distributed ICSA Clustering Approach for Large Scale Protein Sequences and Cancer Diagnosis: Asian pacific journal of Cancer Prevention, Vol. 19(11), 2018, pp. 3105-3109.
Distributed Fuzzy Estimate Spectral Clustering for Cancer Detection with Protein Sequence and Structural Motifs: Asian pacific journal of Cancer Prevention, Vol.19 (7), 2018, pp. 1935–1940.
Tapered Assessment of Distributed Clustering Vital in Protein Sequence Environment: International Journal of Scientific and Engineering Research, Vol. 4(7), 2018, pp.2455-1457.
Optimized Data Retrieval in Big data Analysis: Asian Journal of Research in Social Sciences and Humanities,Vol. 7 (3), 2017, pp.683- 690.
Received the Best Faculty Award in April 2018.
Awarded as a mentor for NPTEL courses in Operating Systems and Java Programming.
Serving as an Indian Examiner for Bharathiyar University, Tamil Nadu.
Active member of professional bodies including CSTA, IAENG, and ICSES.
Secured a centum in Multifaceted Mathematics, demonstrating exceptional proficiency in the subject.
Received appreciation for achieving 100% results in Operating Systems and Data Structures courses.
