Dr. K. Muthumeenakshi
B.E., M.E., Ph.D.,
Associate Professor
Department of Electronics and Communication Engineering
Extn : 582
Dr. K. Muthumeenakshi serves as an Associate Professor in the Department of Electronics and Communication Engineering. She was with SSN since January 2009. She received her B.E. in Electronics and Communication Engineering from Bharathiar University, M.E. in Applied Electronics and Ph.D. from Anna University Chennai. To her credit, she is a gold medallist in her ME programme and University 6th rank holder in her BE programme. Prior to joining SSN, she was with Sri Sairam Engineering College, Chennai for 4.5 years and Sri Krishna College of Engineering and Technology, Coimbatore for 3 years. Her areas of research include Signal / Image processing, Machine Learning / Deep Learning and Sensor Development.
She is a recognized research supervisor of Anna University for PhD programme. She had graduated one research scholar and currently supervising two research scholars. She has published more than 50 papers in International Journals and Conferences. She has guided more than 30 UG and PG projects. She has also attended more than 30 national level workshops/seminars/FDPs and conferences. She is a Member of IEEE, IETE and ISTE.
| S.No | Title of the Project | Agency | Year | Amount(Rs. Lakh) | Status |
|---|---|---|---|---|---|
| 1 | Automated Identification and Characterization of Underwater Image in Deep Ocean | DOM MoES | 2024 – 2026 | 48.5 | Ongoing |
| 2 | High Performance Two Stage Electrochemical Technology for Recovery of Water from Electroplating Effluent and Real Time Monitoring & Control System | DST TMD | 2020 – 2023 | 34.46 | Ongoing |
| 3 | Implementation of Magnetic Induction (MI) based Wireless Underground Sensor Network (WUSN) System for Smart Irrigation | DST TNSCST | 2017 – 2020 | 8.7 | Completed |
| 4 | Smart optical nano sensor for copper detection in aqueous media | SSN Trust | 2023 – 2024 | 0.18 | Ongoing |
| 5 | Energy Consumption Prediction using machine Learning | SSN Trust | 2023 – 2024 | 0.1 | Ongoing |
| 6 | Development of an automatic fabric defect detection system | SSN Trust | 2019 – 2021 | 2.5 | Completed |
| 7 | Real time performance analysis using RF wireless signals for cognitive radio applications | SSN Trust | 2015 -2017 | 2.75 | Completed |
| 8 | Prototype development of an automatic fabric defect detection system | SSN Trust | 2017-2018 | 0.24 | Completed |
| 9 | A smart wearable vest to monitor children with chronic illness | SSN Trust | 2017-2018 | 0.17 | Completed |
| 10 | Design and development of a hybrid energy harvester | SSN Trust | 2017-2018 | 0.16 | Completed |
| 11 | Cloud-assisted healthcare monitoring system | SSN Trust | 2017-2018 | 0.16 | Completed |
| 12 | A startup for a smart workplace | SSN Trust | 2016 -2017 | 0.15 | Completed |
| 13 | Vehicle Speed Controller | SSN Trust | 2016 -2017 | 0.15 | Completed |
| 14 | Prototype for field monitoring and automation in agriculture | SSN Trust | 2015 – 2016 | 0.12 | Completed |
- Vijayalakshmi, K, S. Radha, Muthumeenakshi and Sreeja.B.S. “ Chronoamperometry and Differential Pulse Analysis of Nickel Ions in Aqueous Solution Using Carbon Nanotubes with Nanosheet Shaped Bismuth Oxychloride Sensor”, Journal of Inorganic and Organometallic Polymers and Materials, May 2024, https://doi.org/10.1007/s10904-024-03127-y.
- Vijayalakshmi, K, S. Radha, Muthumeenakshi and Sreeja.B.S. “Machine Learning Assisted Metal Oxide-Bismuth Oxy Halide Nanocomposite for Electrochemical Sensing of Heavy Metals in Aqueous Media” Crystal Research and Technology journal, vol. 59 no. 5 (25), pp. 1-8, Jan 2024.
- Vijayalakshmi, K, S. Radha, Muthumeenakshi and Sreeja.B.S. “Halim‑mediated zinc oxide electrochemical sensor for copper detection in aqueous solution”, Journal of Materials Science: Materials in Electronics 35, 1029 (2024). https://doi.org/10.1007/s10854-024-12819-7.
- Hemalatha, R, Muthumeenakshi and S.Radha. “A neural-network-based machine-learning model for fabric defect detection and classification using fused global features.” Australian Journal of Electrical and Electronics Engineering, 1-16, 2023.
- R. Subashini; R. Hemalatha; K. Muthumeenakshi, “Dictionary Learning based Adaptive Defect Detection in Complex Fabric Textures”, International Journal of Computing and Digital Systems” Vol.14 no.1, 2023.
- Vijayalakshmi, K, S. Radha, Muthumeenakshi and Sreeja.B.S. “Electrochemical sensing of nickel using modified silver nanoparticles/bismuth oxybromide graphite electrode.” Journal of Materials Science: Materials in Electronics 34(25), 1744, 2023.
- K Muthumeenakshi, S Radha, “Comprehensive Analysis on the Performance of Antenna Design Using Machine Learning Techniques”, Springer’s Lecture Notes in Electrical Engineering, Vol.1026, 2023.
- K Muthumeenakshi, “A Segmentation based Classification Model for Primary User Detection Using Deep Learning Techniques”, International Journal of Computing and Digital Systems” Vol.14 no.1, 2023
- Divya.I, K Muthumeenakshi, S Radha, “Statistical analysis of radiofrequency energy harvester with bandpass filter for ultra-low power applications”, International Journal of Numerical Modelling, Electronic Networks, Devices and Fields, 2022, published online, https://doi.org/10.1002/jnm.3077.
- Divya.I, K Muthumeenakshi, S Radha, “An optimization of a reconfigurable CPW antenna for RF energy harvesting cognitive radio application”, Frequenz, 2021, published online, https://doi.org/10.1515/freq-2021-0131.
- Kailasam Muthumeenakshi, Sankararajan, R Rajendran, H, “Improved Collaborative Spectrum Sensing Scheme for Maritime Cognitive Radio”, Indian Journal of Geo-marine sciences, vol.50, no.8, pp. 603-612, August 2021.
- Hemalatha.R, Radha.S, Muthumeenakshi.K, “Disease Monitoring of Cucumber in Polyhouse Through IoT-Based Mobile Application”, Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture, IGI Global pp.273-288, Jan 202110.4018/978-1-7998-1722-2.ch017.
- N Ambika, K Muthumeenakshi, S Radha, “Classification of Primary User Occupancy Using Deep Learning Technique in Cognitive Radio”, Springer’s Advances in Automation, Signal Processing, Instrumentation, and Control, Lecture Notes in Electrical Engineering 700, pp. 1795-1804, March 2021.
- J. Vikneshwar, K. Muthumeenakshi, S. Radha, “Classification of Primary Users Using Deep Residual Learning”, Springer’s Advances in Automation, Signal Processing, Instrumentation, and Control, Lecture Notes in Electrical Engineering 700, pp. 2073-2078, March 2021.
- Divya.I, Muthumeenakshi.K, Dr.S.Radha, “Statistical Analysis on Ambient RF Energy Harvesting for Low Power Wireless Applications”, International Journal of Communication Systems, Wiley, vol.31, no. 8, e3538, May 2018.
- K.Muthumeenakshi and S.Radha, “Spectrum Sensing in Cognitive Radios under Noise Uncertainty: Decision Making using Game Theory”, International Journal of Smart Sensing and Intelligent Systems”, vol.10, no.1, pp. 146 – 173, March 2017.
- K.Muthumeenakshi and Dr.S.Radha, “Optimal Techniques for Sensing Error Minimization with Improved Energy Detection in Cognitive Radios,” International Journal of Smart Sensing and Intelligent Systems” , vol.7, no.4, pp. 2014 – 2034, Dec 2014.
- K. Muthumeenakshi and Dr.S.Radha, “A Generalized Markovian Based Framework for Dynamic Spectrum Access in Cognitive Radios,” KSII Transactions on Internet and Information Systems, vol.8, no.5, pp. 1532-1553, May 2014.
- K. Muthumeenakshi and Dr.S.Radha, “Improved Sensing Accuracy with Enhanced Energy Detection Algorithm with Secondary User Cooperation in Cognitive Radios” International Journal of Communication Networks and Information Security, vol.6, no.1, pp.17-28, April 2014.
- K. Muthumeenakshi , Dr.Radha.S, “Distributed Cognitive Radio Spectrum Access with Imperfect Sensing Using CTMC,” International Journal of Distributed Sensor Networks, vol. 2013, Article ID 257801, 11 pages, 2013.