Dr. T. T. Mirnalinee
B.E., M.E., Ph.D.
Professor and Head of the Department
Department Of Computer Science and Engineering
Email id: mirnalineett@ssn.edu.in
Extn: 413
Dr. T. T. Mirnalinee, is a Professor at SSN College of Engineering, Chennai, India, and is currently the head of the department of Computer Science and Engineering. She received her B.E. degree from Bharathidasan University, Trichy, M.E. degree from the College of Engineering, Guindy, Anna University, Chennai, and Ph.D. from Indian Institute of Technology Madras (IITM), Chennai, India. Her research interests include Computer vision, Machine learning, Green Networks and Software Defined Networks.& Seven research scholars have completed PhD under her supervision and she is currently guiding seven more scholars. Mirnalinee has completed three research projects, and has published about 80 papers in international journals and conferences.
She has reviewed several papers in international journals and chaired several sessions in conferences. She has received Best Paper Award by Journal of Indian Society of Remote Sensing during the National Symposium on “Space technology for food and environment security” at New Delhi. She has received the Best Faculty award at SSN instituted by Cognizant in the year 2018.
She has been serving as a member of board of studies for Anna university, and couple of autonomous institutions affiliated to Anna university. She has been nominated as a member of the Planning and Monitoring Board of Janson’s Institute of Technology, Karumatahampatti, Coimbatore on behalf of Jansons Foundation. She has been invited by RMK engineering College to serve as Department Advisory committee member.
Mirnalinee has been nominated as Margadarshak under AICTE’s “MARGADARSHAK” scheme. Margadarshak will provide mentorship to the mentee institute assigned by AICTE so as to improve the required quality parameters and enable them to get NBA accreditation. Academy of Maritime Education and Training Deemed to be University is assigned as Mentee Institute for her. She has successfully completed the one-week online orientation program for Mentor Training provided jointly by AICTE and NITTTR, Kolkata under National Initiative for Technical Teachers Training(NITTT) and has been recognized as a Mentor. A patent titled “An Effective Frequency Provisioning Method for Scalable Devices in NB-IoT Platform” has been published successfully in Indian Patent Office. She organized Workshops, Training programmes for faculty and students. Mirnalinee is a member of several professional bodies such as ACM, IEEE, and Computer Society of India (CSI).
Computer Vision, SDN, Deep learning
- Use of salient features for the design of a multistage framework to extract roads from high-resolution multispectral satellite images, S Das, TT Mirnalinee, K Varghese, IEEE transactions on Geoscience and Remote sensing 49 (10), 3906-3931
- Computers in manufacturing: towards successful implementation of integrated automation system KD Kumar, L Karunamoorthy, H Roth, TT Mirnalinee, Technovation 25 (5), 477-488
- An integrated multistage framework for automatic road extraction from high resolution satellite imagery TT Mirnalinee, S Das, K Varghese Journal of the Indian Society of Remote Sensing 39, 1-25
- Dynamic small world particle swarm optimizer for function optimization, M Vora, TT Mirnalinee, Natural Computing 17, 901-917
- An efficient image retrieval system based on multi-scale shape features, P Arjun, TT Mirnalinee, Journal of Circuits, Systems and Computers 27 (11), 1850174
- Emotion analysis on text using multiple kernel gaussian, S Angel Deborah, TT Mirnalinee, SM Rajendram,Neural Processing Letters 53, 1187-1203
An Effective Frequency Provisioning Method for Scalable Devices in NB-IoT Platform
- IOT based Smart Sewage System
- DST-SERB SURE Dhi-Vach: A Brain-Computer Interface System Converting thoughts to Speech for Speech-Impaired Patients with neurodegenerative Diseases
- Prototyping Green Network Design
- Wildlife surveillance for monitoring agricultural fields and residentia
- Person Authentication Using Transient Evoked Otoacoustic Emission (TEOAE)Signals With Deep Learning Neural Network Architectures
- Edge computing based real time smart surveillance system
Consultancy Works
- Predicting Health Of a Machine Using Time Series Data
- Generating the productivity of a machine using video Analytics
Professional Bodies
- Member – IEEE, ACM