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Dr-Senthil-Kumar-T_associate-professor_cse_engineering_amritauniversity_coimbatore

Dr. Senthil Kumar T.

Professor, School of Computing, Coimbatore

Qualification: Ph.D
t_senthilkumar@cb.amrita.edu
Dr. Senthil Kumar T's Google Scholar Profile
Research Interest: Big Data Computing, Cloud Computing, Embedded Automation, Software Engineering, Video Processing, Video Surveillance, Wireless Sensor Networks (WSN)

Bio Publications Funded Projects In-house Projects Achievements
Bio

Dr.T.Senthil Kumar serves as a Professor at Amrita School of Computing, Coimbatore. He completed his B. Tech. (Computer Science and Engineering) from Sethu Institute of Technology, Madurai. He completed his M.Tech.(Distributed Computing Systems) from Pondicherry Engineering College, Pondicherry. He completed his PhD in Information and Communication Engineering from Anna University, Chennai. His research interests include Video Analytics, Big Data Analytics, Intrusion Detection Systems, User Behavioral Analytics, AI Framework for Web Phishing and Interpretable Image classification. He has received appreciation in Indian Express for agent-based programming for Banking Domain. He has published in nine National Conferences, 12 International Conferences, 14 International Journals and ten Edited Book volumes. He has 58 Scopus publications. He has publications in SCI journals. He has published a Book on C++. He teaches courses related to Image processing. Computer Networks, Video Processing and Research Methodology. He is guiding scholars with Amrita Vishwa Vidyapeetham in areas related to Early human Fall Detection, Vehicle Traffic Density Analysis, User Behavioral Analysis, Fire Detection and Glaucoma Analysis. He leads the Thrust Area Group on Secure Camera Network Analytics(SCNA) at Department of CSE. There are two PhD scholars graduated under his research supervision.

He is a reviewer for Elsevier Computers & Electrical Engineering Journal, soft computing. He is working at Amrita Vishwa Vidyapeetham, Coimbatore since 2001. He has developed skills in the competency areas of programming like MATLAB, NS2, JIST, C#, Android, Hadoop, Spark, OpenCV with Qt and Keras with Tensor Flow.

Funding projects

Malware detection using FPGA, Sandboxing and Machine Learning 

 

Publications

Journal Article

Year : 2023

IoT and ML approach for ornamental fish behaviour analysis

Cite this Research Publication : K. Patro, Vinod Kumar Yadav, Vidya Shree Bharti, Arun Kumar Sharma, A. Sharma, and T. Senthilkumar, “IoT and ML approach for ornamental fish behaviour analysis,” Scientific Reports, vol. 13, no. 1, Dec. 2023

Year : 2023

Object Detection Using Mask R-CNN on a Custom Dataset of Tumbling Satellite

Cite this Research Publication : Parmar Anjali, Senthil Kumar Thangavel, and Ravi Kumar Lagisetty, “Object Detection Using Mask R-CNN on a Custom Dataset of Tumbling Satellite,” Smart innovation, systems and technologies, pp. 379–400, Jan. 2023

Publisher : Springer

Year : 2023

Obfuscated Malware detection using Machine Learning models

Cite this Research Publication : Balasubramanian, K. M., Vasudevan, S. V., Thangavel, S. K., Kumar, G., Srinivasan, K., Tibrewal, A., &Vajipayajula, S. (2023, July). Obfuscated Malware detection using Machine Learning models. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-8). IEEE

Publisher : IEEE

Year : 2023

Fire Sensor and Surveillance Camera-Based GTCNN for Fire Detection System

Cite this Research Publication : P. Sridhar, S. K. Thangavel, L. Parameswaran and V. R. M. Oruganti, "Fire Sensor and Surveillance Camera-Based GTCNN for Fire Detection System," in IEEE Sensors Journal, vol. 23, no. 7, pp. 7626-7633, 1 April1, 2023, doi: 10.1109/JSEN.2023.3244833.

Year : 2021

Improved Particle Swam Optimization for Crowd Simulation Using Hybrid Agent Reinforcement Learning Algorithm

Cite this Research Publication : K. Pavithra, G. Radhamani, Senthil Kumar Thangavel,"Improved Particle Swam Optimization for Crowd Simulation Using Hybrid Agent Reinforcement Learning Algorithm" Information Technology in Industry,Vol. 9 No. 2 ,2021

Publisher : Information Technology in Industry

Year : 2019

A modified deep learning architecture for vehicle detection in traffic monitoring system

Cite this Research Publication : H. Haritha and Dr. Senthil Kumar T., “A modified deep learning architecture for vehicle detection in traffic monitoring system”, International Journal of Computers and Applications, pp. 1-10, 2019.

Publisher : International Journal of Computers and Applications

Year : 2019

Deep Learning based Emotion Analysis Approach for Strengthening Teaching-Learning process in Schools of Tribal Regions

Cite this Research Publication : Dr. Senthil Kumar T., S, R., and Rajevan, T., “Deep Learning based Emotion Analysis Approach for Strengthening Teaching-Learning process in Schools of Tribal Regions”, Journal of Advanced Research in Dynamical and Control Systems, vol. 11, pp. 621-635, 2019.

Publisher : Journal of Advanced Research in Dynamical and Control Systems

Year : 2019

Video analytics-based facial emotion recognition system for smart buildings

Cite this Research Publication : K. S. Gautam and Dr. Senthil Kumar T., “Video analytics-based facial emotion recognition system for smart buildings”, International Journal of Computers and Applications, pp. 1-10, 2019.

Publisher : International Journal of Computers and Applications

Year : 2019

Video analytics-based intelligent surveillance system for smart buildings

Cite this Research Publication : K. S. Gautam and Dr. Senthil Kumar T., “Video analytics-based intelligent surveillance system for smart buildings”, Soft Computing, vol. 23, pp. 2813-2837, 2019.

Publisher : Soft Computing

Year : 2018

Deep learning for identification and validation of objects and data viewed through vehicle windshield in lab environment – a DCNN approach

Cite this Research Publication : K. R. Ramakrishnan and Dr. Senthil Kumar T., “Deep learning for identification and validation of objects and data viewed through vehicle windshield in lab environment – a DCNN approach”, Journal of Advanced Research in Dynamical and Control Systems, vol. 10, pp. 880-891, 2018.

Publisher : Journal of Advanced Research in Dynamical and Control Systems

Year : 2018

Deep learning for I2V communication using moving QR code

Cite this Research Publication : V. U. Kumar and Dr. Senthil Kumar T., “Deep learning for I2V communication using moving QR code”, Journal of Advanced Research in Dynamical and Control Systems, vol. 10, pp. 892-898, 2018.

Publisher : Journal of Advanced Research in Dynamical and Control Systems

Year : 2018

Deep learning for driver assistance using estimated trajectory complexity parameter

Cite this Research Publication : A. M. Geetha and Dr. Senthil Kumar T., “Deep learning for driver assistance using estimated trajectory complexity parameter”, Journal of Advanced Research in Dynamical and Control Systems, vol. 10, pp. 871-879, 2018.

Publisher : Journal of Advanced Research in Dynamical and Control Systems

Year : 2018

Assisting visually challenged person in the library environment

Cite this Research Publication : K. D. Kumar and Dr. Senthil Kumar T., “Assisting visually challenged person in the library environment”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 722-733, 2018.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Year : 2017

Survey on various traffic monitoring and reasoning techniques

Cite this Research Publication : H. Haritha and Dr. Senthil Kumar T., “Survey on various traffic monitoring and reasoning techniques”, Advances in Intelligent Systems and Computing, vol. 573, pp. 507-516, 2017.

Publisher : Advances in Intelligent Systems and Computing, Springer Verlag,

Year : 2016

Virtual Try of a Jewellery using Skin Classifiers

Cite this Research Publication : R. G., T Kumar, S., Mangayarkarasi, N., and Nirmala, R., “Virtual Try of a Jewellery using Skin Classifiers”, International Journal of Control Theory and Applications, vol. 9, no. 5, pp. 191-194, 2016.

Publisher : International Journal of Control Theory and Applications.

Year : 2016

Discrimination and detection of face and non-face using multilayer feedforward perceptron

Cite this Research Publication : K. S. Gautam and Dr. Senthil Kumar T., “Discrimination and detection of face and non-face using multilayer feedforward perceptron”, Advances in Intelligent Systems and Computing, vol. 397, pp. 89-103, 2016.

Publisher : Advances in Intelligent Systems and Computing

Year : 2016

A conjectural study on machine learning algorithms

Cite this Research Publication : A. Sankar, Bharathi, P. D., Midhun, M., Vijay, K., and Dr. Senthil Kumar T., “A conjectural study on machine learning algorithms”, Advances in Intelligent Systems and Computing, vol. 397, pp. 105-116, 2016.

Publisher : Advances in Intelligent Systems and Computing

Year : 2016

3D modelling of a jewellery and its virtual try-on

Cite this Research Publication : R. G., Dr. Senthil Kumar T., Reyner, P. P. D., Leela, G., Mangayarkarasi, N., Abirami, A., and Vinayaka, K., “3D modelling of a jewellery and its virtual try-on”, Advances in Intelligent Systems and Computing, vol. 397, pp. 157-165, 2016.

Publisher : Advances in Intelligent Systems and Computing

Year : 2015

Evaluation of video analytics for face detection and recognition

Cite this Research Publication : Dr. Senthil Kumar T. and Saivenkateswaran, Sb, “Evaluation of video analytics for face detection and recognition”, International Journal of Applied Engineering Research, vol. 10, pp. 24003-24016, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2015

Customization of recommendation system using collaborative filtering algorithm on cloud using mahout

Cite this Research Publication : Dr. Senthil Kumar T. and Pandey, S., “Customization of recommendation system using collaborative filtering algorithm on cloud using mahout”, Advances in Intelligent Systems and Computing, vol. 321, 2015.

Publisher : Advances in Intelligent Systems and Computing

Year : 2014

Video Recommender In Open/Closed Systems

Cite this Research Publication : Dr. Senthil Kumar T., Reddy, P. K. Ajay, M. Chidambaram, Anurag, D. V., Karthik, S., K. Teja, R., and N. Harish, S., “Video Recommender In Open/Closed Systems”, International Journal of Research in Engineering and Technology, vol. 3, pp. 24 - 28, 2014.

Publisher : International Journal of Research in Engineering and Technology

Year : 2014

Survey on Predictive medical data analysis

Cite this Research Publication : Dr. Senthil Kumar T., Suresh, A., Pai, K. Kiron, and Chinnaswamy, P., “Survey on Predictive medical data analysis”, Journal of Engineering Research & Technology, vol. 3, pp. 2283-2286, 2014.

Publisher : Journal of Engineering Research Technology

Year : 2014

Improvised classification model for cloud based authentication using keystroke dynamics

Cite this Research Publication : Dr. Senthil Kumar T., Suresh, A., and Karumathil, A., “Improvised classification model for cloud based authentication using keystroke dynamics”, Lecture Notes in Electrical Engineering, vol. 309 LNEE, pp. 295-303, 2014.

Publisher : Lecture Notes in Electrical Engineering

Year : 2014

Cloud Based Framework for Road Accident Analysis

Cite this Research Publication : Dr. Senthil Kumar T., Vishak, J., Sanjeev, S., and Sneha, B., “Cloud Based Framework for Road Accident Analysis”, International Journal of Computer Science and Mobile Computing, vol. 3, pp. 1025 - 1032, 2014.

Publisher : International Journal of Computer Science and Mobile Computing

Year : 2013

Towards an Approach for Improved Security in Wireless Networks

Cite this Research Publication : S. Murugesan, Dr. Senthil Kumar T., Priyanka, U. Sree, and Abinaya, K., “Towards an Approach for Improved Security in Wireless Networks”, International Journal of Computer Applications, vol. 1, pp. 9-13, 2013.

Publisher : International Journal of Computer Applications

Year : 2013

A Survey: Artificial Neural Networks in Surveillance System

Cite this Research Publication : R. Manoj, Dr. Senthil Kumar T., Maruthi, M., and Vivek, G., “A Survey: Artificial Neural Networks in Surveillance System”, International Journal of Computer Applications, vol. 1, pp. 19-22, 2013.

Publisher : International Journal of Computer Applications

Year : 2013

Performance Analysis of Various Recommendation Algorithms Using Apache Hadoop and Mahout

Cite this Research Publication : N. Susan Thampi, Dr. Senthil Kumar T., and Johnpaul, C. I., “Performance Analysis of Various Recommendation Algorithms Using Apache Hadoop and Mahout”, International Journal of Scientific & Engineering Research, vol. 4, pp. 279-287, 2013.

Publisher : International Journal of Scientific Engineering Research

Year : 2013

A Novel Face Recognition Algorithm using PCA

Cite this Research Publication : Dr. Senthil Kumar T., Kumar, S., and , “A Novel Face Recognition Algorithm using PCA”, International Journal of Computer Applications, vol. 3, pp. 8 - 12, 2013.

Publisher : International Journal of Computer Applications

Year : 2013

Mediscript Mobile Cloud Collabrative Speech Recognition Framework

Cite this Research Publication : S. T. Kumar, Narayanan, D. Sankara, Aswani, S., Harshad, R., and Gajendran, V., “Mediscript Mobile Cloud Collabrative Speech Recognition Framework”, International Journal of Computer Applications, vol. 3, pp. 36-45, 2013.

Publisher : International Journal of Computer Applications

Year : 2013

Logo Classification of Vehicles using SURF based on Low Detailed Feature Recognition

Cite this Research Publication : Dr. Senthil Kumar T., .Sivanandam, N., Gokul, M., and Anusha, B., “Logo Classification of Vehicles using SURF based on Low Detailed Feature Recognition”, International Journal of Computer Applications, vol. 3, pp. 5 - 7, 2013.

Publisher : International Journal of Computer Applications

Year : 2012

A modified approach for detecting car in video using feature extraction techniques

Cite this Research Publication : Dr. Senthil Kumar T. and Sivanandam, S. Nb, “A modified approach for detecting car in video using feature extraction techniques”, European Journal of Scientific Research, vol. 77, pp. 134-144, 2012.

Publisher : European Journal of Scientific Research

Year : 2012

An improved approach for detecting car in video using neural network model

Cite this Research Publication : Dr. Senthil Kumar T. and Sivanandam, S. Nb, “An improved approach for detecting car in video using neural network model”, Journal of Computer Science, vol. 8, pp. 1759-1768, 2012.

Publisher : Journal of Computer Science

Year : 2012

An Improved Approach for Character recognition in vehicle Number plate using Eigenfeature Regularisation and Extraction Method

Cite this Research Publication : S. N. Sivanandam, Dr. Senthil Kumar T., kumar, krishna, and Ajay, A., “An Improved Approach for Character recognition in vehicle Number plate using Eigenfeature Regularisation and Extraction Method”, International Journal of Research and Reviews in Electrical and Computer Engineering, vol. 2, pp. 64-69, 2012.

Publisher : International Journal of Research and Reviews in Electrical and Computer Engineering

Year : 2012

Detection of car in video using soft computing techniques

Cite this Research Publication : Dr. Senthil Kumar T., Sivanandam, S. Nb, and Akhila, G. Pc, “Detection of car in video using soft computing techniques”, Communications in Computer and Information Science, vol. 270 CCIS, pp. 556-565, 2012.

Publisher : Springer

Conference Paper

Year : 2023

Eliminating Environmental Context for Fall Detection Based on Movement Traces

Cite this Research Publication : J. Balamanikandan, Senthil Kumar Thangavel, and M. Chang, “Eliminating Environmental Context for Fall Detection Based on Movement Traces,” Smart innovation, systems and technologies, pp. 343–357, Jan. 2023

Publisher : Springer

Year : 2023

Early Detection of DDoS Attacks in SDN using Machine Learning Techniques

Cite this Research Publication : P. S. Pericherla, S. K. Thangavel, K. Srinivasan, A. Tibrewal and S. Vajipayajula, "Early Detection of DDoS Attacks in SDN using Machine Learning Techniques," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-7

Publisher : IEEE

Year : 2023

A Cloud-Based Intrusion Detection System for Advanced Threat Detection and Prevention using Machine Learning Techniques

Cite this Research Publication : R. Abhinav, K. N. Raghav, S. S. Reddy, P. S. N. Koushik, S. K. Thangavel and K. Srinivasan, "A Cloud-Based Intrusion Detection System for Advanced Threat Detection and Prevention using Machine Learning Techniques," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-8, doi: 10.1109/ICCCNT56998.2023.10306489.

Publisher : IEEE

Year : 2023

Detection and Prevention of Advanced Persistent Threat (APT) Activities in Heterogeneous Networks using SIEM and Deep Learning

Cite this Research Publication : Tharunika, V & T, Shridhar & Veeresh, K & Kumar, T. & Srinivasan, Karthik & Vajipayajula, Sulakshan & Tibrewal, Anjali. (2023). Detection and Prevention of Advanced Persistent Threat (APT) Activities in Heterogeneous Networks using SIEM and Deep Learning. 1-8. 10.1109/ICCCNT56998.2023.10306968.

Year : 2023

An early malware threat detection model using Conditional Tabular Generative Adversarial Network

Cite this Research Publication : V. Amrith et al., "An early malware threat detection model using Conditional Tabular Generative Adversarial Network," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-8

Publisher : IEEE

Year : 2022

Detection of DoS and DDoS Attacks Using Hidden Markov Model

Cite this Research Publication : Balaji Bharatwaj, M., Aditya Reddy, M., Senthil Kumar, T., Vajipayajula, S. (2022). Detection of DoS and DDoS Attacks Using Hidden Markov Model. In: Ranganathan, G., Fernando, X., Shi, F. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 311. Springer, Singapore

Publisher : Springer

Year : 2022

Segmentation of Streets and Buildings Using U-Net from Satellite Image

Cite this Research Publication : Subramanian, J., Thangavel, S.K., Caianiello, P. (2022). Segmentation of Streets and Buildings Using U-Net from Satellite Image. In: Peter, J.D., Fernandes, S.L., Alavi, A.H. (eds) Disruptive Technologies for Big Data and Cloud Applications. Lecture Notes in Electrical Engineering, vol 905. Springer, Singapore

Publisher : Springer

Year : 2022

Satellite Pose Estimation Using Modified Residual Networks

Cite this Research Publication : M. Uma Rani, Senthil Kumar Thangavel, and Ravi Kumar Lagisetty, “Satellite Pose Estimation Using Modified Residual Networks,” Lecture notes in electrical engineering, pp. 869–882, Jan. 2022

Publisher : Springer

Year : 2020

LSTM and GRU Deep Learning Architectures for Smoke Prediction System in Indoor Environment

Cite this Research Publication : S. Vejay Karthy, Thangavel Senthil Kumar, and L. Parameswaran, “LSTM and GRU Deep Learning Architectures for Smoke Prediction System in Indoor Environment,” Advances in intelligent systems and computing, pp. 53–64, Jul. 2020

Publisher : Springer

Year : 2020

MetaData: A Tool to Supplement Data Science Education for the First Year Undergraduates

Cite this Research Publication : R. Nair, Chugani, M. N., and Dr. Senthil Kumar T., “MetaData: A Tool to Supplement Data Science Education for the First Year Undergraduates”, in Proceedings of the 2020 8th International Conference on Information and Education Technology, New York, NY, USA, 2020.

Publisher : Proceedings of the 2020 8th International Conference on Information and Education Technology

Year : 2020

Dynamic and Chromatic Analysis for Fire Detection and Alarm Raising Using Real-Time Video Analysis

Cite this Research Publication : P. S. Srishilesh, Parameswaran, L., Tharagesh, R. S. Sanjay, Dr. Senthil Kumar T., and Sridhar, P., “Dynamic and Chromatic Analysis for Fire Detection and Alarm Raising Using Real-Time Video Analysis”, in Proceedings of 3rd International Conference On Computational Vision and Bio Inspired Computing, Cham, 2019.



Publisher : Proceedings of 3rd International Conference On Computational Vision and Bio Inspired Computing, Springer International Publishing

Year : 2018

A Cascade Color Image Retrieval Framework for Image Retrieval

Cite this Research Publication : K. S. Gautam, Parameswaran, L., and Thangavel, S. Kumar, “A Cascade Color Image Retrieval Framework for Image Retrieval”, in Proceedings of 2nd International Conference On Computational Vision and Bio Inspired Computing, 2018.

Publisher : Proceedings of 2nd International Conference On Computational Vision and Bio Inspired Computing .

Year : 2018

Computer Vision based Asset Surveillance for Smart Buildings

Cite this Research Publication : K. S. Gautam, Parameswaran, L., and Thangavel, S. Kumar, “Computer Vision based Asset Surveillance for Smart Buildings”, in Proceedings of the first international conference on Intelligent Computing, 2018.


Publisher : Proceedings of the first international conference on Intelligent Computing .

Year : 2018

An Efficient Rule Based Algorithm for Fire Detection on Real Time Videos

Cite this Research Publication : S. P, Parameswaran, L., and Dr. Senthil Kumar T., “An Efficient Rule Based Algorithm for Fire Detection on Real Time Videos”, in Proceedings of the first international conference on Intelligent Computing, 2018.

Publisher : Proceedings of the first international conference on Intelligent Computing.

Year : 2017

Student placement analyzer: A recommendation system using machine learning

Cite this Research Publication : S. K. Thangavel, Bkaratki, P. D., and Sankar, A., “Student placement analyzer: A recommendation system using machine learning”, in 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017, 2017.

Publisher : 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017

Year : 2017

Improving Capabilities for Visually Challenged Person in Library Environment

Cite this Research Publication : D. K. Kumar and Kumar, T. S., “Improving Capabilities for Visually Challenged Person in Library Environment”, in International conference on Advanced Computing and Communication Systems - ICACCS 2017, 2017.

Publisher : International conference on Advanced Computing and Communication Systems -

Year : 2017

Develop, implement and evaluvate a multimodal system for government organisation

Cite this Research Publication : R. Nirmala and Thangavel, S. K., “Develop, implement and evaluvate a multimodal system for government organisation”, in 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017, 2017.

Publisher : 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017

Year : 2016

Pedagogue: A Model for Improving Core Competency Level in Placement Interviews Through Interactive Android Application

Cite this Research Publication : Dhanya N. M., Dr. Senthil Kumar T., Sujithra, C., Prasanth, S., and Shruthi, U. K., “Pedagogue: A Model for Improving Core Competency Level in Placement Interviews Through Interactive Android Application”, in Proceedings of the International Conference on Soft Computing Systems, 2016.

Publisher : Proceedings of the International Conference on Soft Computing Systems, Springer .

Year : 2016

A Multimodal System for Government Orgaisation

Cite this Research Publication : N. R and Kumar, D. T. Senthil, “A Multimodal System for Government Orgaisation”, in International conference on Signal Processing, Communication, Power and Embedded System (SCOPES)-2016, 2016.

Publisher : International conference on Signal Processing, Communication, Power and Embedded System (SCOPES)-2016.

Year : 2013

MEDISCRIPT-MOBILE CLOUD COLLABRATIVE SPEECH RECOGNITION FRAMEWORK

Cite this Research Publication : Dr. Senthil Kumar T., Gajendran, V., Harshad, R., Aswani, S., and Narayanan, D. Sankara, “MEDISCRIPT-MOBILE CLOUD COLLABRATIVE SPEECH RECOGNITION FRAMEWORK”, in IJCA Proceedings on International Conference on Innovation in Communication, Information and Computing 2013, 2013.

Publisher : IJCA Proceedings on International Conference on Innovation in Communication, Information and Computing 2013

Year : 2011

3D Reconstruction of facial structures from 2D images for cosmetic surgery

Cite this Research Publication : T. Sa Kumar and Rakesh, P. Bb, “3D Reconstruction of facial structures from 2D images for cosmetic surgery”, in International Conference on Recent Trends in Information Technology, ICRTIT 2011, Chennai, 2011, pp. 743-748.

Publisher : ICRTIT

Year : 2011

2D Atlas and coronary detection of human heart for educational purposes

Cite this Research Publication : S. T. Kumar, Pankajan, V. S., Dora, B. A., Tarun, E. V. L. N., Varun, E. V. S. R., and Chakravarthi, N. V. S., “2D Atlas and coronary detection of human heart for educational purposes”, in 2011 International Conference on Emerging Trends in Electrical and Computer Technology, ICETECT 2011, Chunkankadai, 2011, pp. 876-881.

Publisher : ICETECT

Conference Proceedings

Year : 2021

Automatic Detection of Leaf Disease Using CNN Algorithm

Cite this Research Publication : S. Nandhini, Suganya, R., Nandhana, K., Varsha, S., Deivalakshmi, S., and Dr. Senthil Kumar T., “Automatic Detection of Leaf Disease Using CNN Algorithm”, Machine Learning for Predictive Analysis, vol. 141. Springer Singapore, Singapore, pp. 237-244, 2021.

Publisher : Machine Learning for Predictive Analysis

Year : 2021

A Mobile-Based Framework for Detecting Objects Using SSD-MobileNet in Indoor Environment

Cite this Research Publication : K. K. R. Sanj Kumar, Subramani, G., Dr. Senthil Kumar T., and Parameswaran, L., “A Mobile-Based Framework for Detecting Objects Using SSD-MobileNet in Indoor Environment”, Intelligence in Big Data Technologies–-Beyond the Hype, vol. 1167. Springer Singapore, Singapore, pp. 65-76, 2021.

Publisher : Intelligence in Big Data Technologies–-Beyond the Hype, vol. 1167. Springer Singapore,

Year : 2021

A New Approach for Fire Pixel Detection in Building Environment Using Vision Sensor

Cite this Research Publication : P. Sridhar, Dr. Senthil Kumar T., and Parameswaran, L., “A New Approach for Fire Pixel Detection in Building Environment Using Vision Sensor”, Innovations in Computational Intelligence and Computer Vision, vol. 1189. Springer Singapore, Singapore, pp. 392-400, 2021.

Publisher : Innovations in Computational Intelligence and Computer Vision

Year : 2020

Plant Leaf Recognition Using Machine Learning Techniques

Cite this Research Publication : Sujee R. and Thangavel, S. Kumar, “Plant Leaf Recognition Using Machine Learning Techniques”, New Trends in Computational Vision and Bio-inspired Computing: Selected works presented at the ICCVBIC 2018, Coimbatore, India. Springer International Publishing, Cham, pp. 1433–1444, 2020.

Publisher : New Trends in Computational Vision and Bio-inspired Computing: Selected works presented at the ICCVBIC 2018, Coimbatore, India, Springer International Publishing

Year : 2020

An Extensive Study and Comparison of the Various Approaches to Object Detection using Deep Learning

Cite this Research Publication : U. Subbiah, Kumar, D. K., Dr. Senthil Kumar T., and Parameswaran, L., “An Extensive Study and Comparison of the Various Approaches to Object Detection using Deep Learning”, 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT). 2020.

Publisher : 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT)

Year : 2020

A Collaborative Mobile Based Interactive Framework for Improving Tribal Empowerment

Cite this Research Publication : Dr. Senthil Kumar T., Rajeevan, T. V., Rajendrakumar, S., Subramaniam, P., Kumar, U., and Meenakshi, B., “A Collaborative Mobile Based Interactive Framework for Improving Tribal Empowerment”, Computational Vision and Bio-Inspired Computing, vol. 1108. Springer International Publishing, Cham, pp. 827-842, 2020.

Publisher : Computational Vision and Bio-Inspired Computing, Springer International Publishing

Year : 2019

A Robust Q-Learning and Differential Evolution Based Policy Framework for Key Frame Extraction

Cite this Research Publication : S. Rudra and Dr. Senthil Kumar T., “A Robust Q-Learning and Differential Evolution Based Policy Framework for Key Frame Extraction”, Springer Advances in Intelligent Systems and Computing, vol. 1039. Springer International Publishing, Cham, pp. 716-728, 2019.

Publisher : Springer Advances in Intelligent Systems and Computing, Springer International Publishing,

Year : 2019

Video-Based Fire Detection by Transforming to Optimal Color Space

Cite this Research Publication : T. M. Manickam, Yogesh, M., Sridhar, P., Dr. Senthil Kumar T., and Parameswaran, L., “Video-Based Fire Detection by Transforming to Optimal Color Space”, Proceedings of 3rd International Conference On Computational Vision and Bio Inspired Computing, vol. 1108. Springer International Publishing, Cham, 2019.

Publisher : Proceedings of 3rd International Conference On Computational Vision and Bio Inspired Computing, Springer International Publishing

Year : 2017

A semi automated system for smart harvesting of tea leaves

Cite this Research Publication : Dr. Senthil Kumar T. and Murthi, M., “A semi automated system for smart harvesting of tea leaves”, 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS). 2017.

Publisher : 2017 4th International Conference on Advanced Computing and Communication Systems

Year : 2017

Hidden object detection for classification of threat

Cite this Research Publication : K. S. Gautam and Dr. Senthil Kumar T., “Hidden object detection for classification of threat”, 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS). 2017.

Publisher : 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017

Year : 2016

Suspicious human activity detection in classroom examination

Cite this Research Publication : Dr. Senthil Kumar T. and Narmatha, G., “Suspicious human activity detection in classroom examination”, Advances in Intelligent Systems and Computing, vol. 412. Springer , pp. 99-108, 2016.

Publisher : Advances in Intelligent Systems and Computing

Year : 2016

Detection and Segmentation of Cluttered Objects from Texture Cluttered Scene

Cite this Research Publication : S. Sreelakshmi, Anupa Vijai, and Dr. Senthil Kumar T., “Detection and Segmentation of Cluttered Objects from Texture Cluttered Scene”, Proceedings of the International Conference on Soft Computing Systems , vol. 398. Springer, pp. 249-257, 2016.

Publisher : Proceedings of the International Conference on Soft Computing Systems

Year : 2016

Dental image retrieval using fused local binary pattern scale invariant feature transform

Publisher : Advances in Intelligent Systems and Computing

Year : 2016

Debris detection and tracking system in water bodies using motion estimation technique

Cite this Research Publication : Dr. Senthil Kumar T., Gautam, K. S., and Haritha, H., “Debris detection and tracking system in water bodies using motion estimation technique”, Advances in Intelligent Systems and Computing, vol. 424. Springer, pp. 275-284, 2016.

Publisher : Advances in Intelligent Systems and Computing

Year : 2016

Classroom Teaching Assessment Based on Student Emotions

Cite this Research Publication : K. S. Sahla and Dr. Senthil Kumar T., “Classroom Teaching Assessment Based on Student Emotions”, Intelligent Systems Technologies and Applications 2016. Springer International Publishing, Cham, pp. 475–486, 2016.

Publisher : Intelligent Systems Technologies and Applications 2016, Springer International Publishing.

Year : 2016

Dental image retrieval using fused local binary pattern & scale invariant feature transform

Cite this Research Publication : R. Suganya, Rajaram, S., Vishalini, S., Meena, R., and Dr. Senthil Kumar T., “Dental image retrieval using fused local binary pattern & scale invariant feature transform”, Advances in Intelligent Systems and Computing, vol. 425. Springer, pp. 215-224, 2016.

Publisher : Advances in Intelligent Systems and Computing,

Year : 2014

3D Reconstruction of Face: A comparison of Marching Cube and Improved Marching Cube Algorithm

Cite this Research Publication : Dr. Senthil Kumar T. and Anupa Vijai, “3D Reconstruction of Face: A comparison of Marching Cube and Improved Marching Cube Algorithm”, Proceedings of the International Conference of Advances in Engineering and Technology, vol. 1. pp. 6-9, 2014.

Publisher : Proceedings of the International Conference of Advances in Engineering and Technology

Year : 2012

3D Reconstruction of Face from 2D CT Scan Images

Cite this Research Publication : Dr. Senthil Kumar T. and Anupa Vijai, “3D Reconstruction of Face from 2D CT Scan Images”, Procedia Engineering, vol. 30. pp. 970-977, 2012.

Publisher : Procedia Engineering

Book Chapter

Year : 2019

ONESTOP: A tool for performing generic operations with visual support

Cite this Research Publication : G. Ganesan, Senthilkumar, S., and Dr. Senthil Kumar T., “ONESTOP: A tool for performing generic operations with visual support”, in Lecture Notes in Computational Vision and Biomechanics, 2019, pp. 1565-1583.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Year : 2019

Multi-insight monocular vision system using a refractive projection model

Cite this Research Publication : J. Asharudeen and Dr. Senthil Kumar T., “Multi-insight Monocular Vision System Using a Refractive Projection Model”, in Lecture Notes in Computational Vision and Biomechanics, 2019, pp. 1553-1563.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Year : 2019

Defocus map-based segmentation of automotive vehicles

Cite this Research Publication : Dr. Senthil Kumar T., Rajendran, N., and Vaiapury, K., “Defocus Map-Based Segmentation of Automotive Vehicles”, in Lecture Notes in Computational Vision and Biomechanics, 2019, pp. 1537-1552.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Year : 2016

Video Analysis for Malpractice Detection in Classroom Examination

Cite this Research Publication : S. V. Girish, Prakash, R., Swetha, S. N. H., Pareek, G., Dr. Senthil Kumar T., and A. Ganesh, B., “Video Analysis for Malpractice Detection in Classroom Examination”, P. L. Suresh and Panigrahi, K. Bijaya, Eds. New Delhi: Springer India, 2016, pp. 209–217.

Publisher : Springer India, New Delhi.

Year : 2016

Gesture Controlled Automation for Physically Impaired

Cite this Research Publication : V. Reghu and Dr. Senthil Kumar T., “Gesture Controlled Automation for Physically Impaired”, P. L. Suresh and Panigrahi, K. Bijaya, Eds. New Delhi: Springer India, 2016, pp. 673–683.

Publisher : Springer India, New Delhi.

Year : 2016

Advances in Intelligent Systems and Computing

Cite this Research Publication : S. V. Girish, Prakash, R., Swetha, S. N. H., Pareek, G., and Dr. Senthil Kumar T., “Advances in Intelligent Systems and Computing”, in A Network Model of GUI-Based Implementation of Sensor Node for Indoor Air Quality Monitoring, vol. 397, New Delhi: Springer India, 2016, pp. 209–217.

Publisher : Advances in Intelligent Systems and Computing, Springer Singapore,

Year : 2015

A Queueing Model for e-Learning System

Cite this Research Publication : Dr. Senthil Kumar T. and Prakash, K. I. Ohhm, “A Queueing Model for e-Learning System”, P. L. Suresh, Dash, S. Subhransu, and Panigrahi, K. Bijaya, Eds. New Delhi: Springer India, 2015, pp. 89–94.

Publisher : Springer India

Funded Projects
Sl. No Title Agency PI/Co PI Duration Status
1 A Framework for event modeling and detection for Smart Buildings using Vision Systems Department of Science and Technology Co- PI 2 years Completed
2 Malware detection using FPGA, Sandboxing and Machine Learning IBM SUR PI One year Completed
3 Technology inputs in promoting indigenous food recipes of Irulas and Kurumbas tribes and empowering disadvantaged youth of Masinagudi and Ebbanad village of The Nilgiri District Ministry of Tribal Affairs PI 1 year 6 months Completed
4 Detection and Prevention of Advanced Persistent Threat (APT) activities in heterogeneous networks using SIEM and Deep Learning IBM SUR PI One year Completed
5 LIDAR Based Fall Detection Multicoreware PI One year Completed
6 Code Optimization Telesto Energy PI 3 Months Completed
7 UI Dash Board Development(Reservoir Analytics)– Analytics Dashboard Telesto Energy PI 8 months Completed
8 UI Dash board Development(Reservoir Analytics) – Sesmic Analysis Tool Telesto Energy PI 1 year Ongoing
In-house Projects

ANSAN – Amrita’s AI based Nethra Sanrakshan System

Eyes are crucial sensory organs that provide vision. Regular eye exams are needed to retain vision. If undiagnosed, glaucoma damages the optic nerve, causing impaired vision and blindness. AI helps produce low-cost, scalable healthcare technology. ANSAN utilizes computer vision and deep learning to check for glaucoma. Stakeholders use a handheld fundus camera to send the patient’s eye image to the model that identifies glaucoma and screens severity. The detection algorithm uses deep learning to assess retinal fundus images, predict glaucoma, and propose the nearest Primary Health Center.
Collaborators : Dr. Koshal Ram, Dr. Sathyan Parthasarathi, Dr. Ram Gopal, Dr. Menakshi Y Dhar, Dr. Badri N Subudhi, Dr. Jagadeesh Kakarla, Dr.Selvanayaki Kolandapalayam Shanmugam

ATMA YOGA

It is a unique fusion of yoga pose detection and a recommendation system model, providing users with a comprehensive all-in-one feature within the application. By integrating the concept of recommendation alongside yoga pose detection, users can enhance their comfort and proficiency with yoga or slogans. The system has been tested with students from Amrita Vishwa Vidyapeetham, demonstrating its efficacy in improving the learning experience. This innovative approach holds promise for extension to a broader student base, fostering enhanced learning and engagement across various demographics.

Collaborators: Dr. Latha Satish, Ms. Jeeva Sekar, Dr. B. Senthil Kumar, Vasan Sowriraja, Dr.Selvanayaki Kolandapalayam Shanmugam

AAIRAA -Amrita’s AI-based Recognition and Analytical Application

Real-time face detection is popular for security surveillance and attendance management in numerous sectors. We employ advanced algorithms to detect faces in real-time video feeds and extract facial landmarks and expressions. These features identify and authenticate people for access control and attendance tracking. Name, ID, Date, Time In, and Time Out are entered into an Excel sheet. The facial detection module photographs personnel entering the building. It extracts face traits from photos and compares them to a firebase database of registered employees. Administrators register personnel and have full access to their data. Face capture records employee data, timestamp, and date if a match is discovered. The Excel sheet calculates staff hours automatically. charting pivot tables. This aids attendance data analysis, including arrival, departure, and absenteeism. This unique application helps the company control staff attendance. The product is being tested as part of research labs at Amrita School of computing, Coimbatore.

Amrita Sync – Anaemia Detection System

The World Health Organization considers anemia a health danger impacting 25% of the global population, requiring automated, fast, and accurate detection. A mobile phone application was created to accurately classify eye and fingernail photos as anemic or non-anemic with up to 91% accuracy. Prepossessing pipeline accurately localizes and extracts eye and fingernail regions from input images.

Collaborators: Dr. Janci Rani,Chairperson,Food Science and Nutrition at Amrita Vishwa Vidyapeetham

Native Nest

In a digital age, we knew we had to digitize traditional assets. Native Nest provides a global platform for these unique, handcrafted products. Native Nest is more than a shopping app—it explores and celebrates our indigenous cultures. Native Nest promotes and preserves our forefathers’ distinctive art and workmanship.

Collaborator : Dr.S.Udhayakumar, Director of Tribal Research Centre, ooty

CropScan

Drones with state-of-the-art imaging technology is used to fight Pokkah Boeng disease in sugarcane fields. The drones quickly identify initial indicators, allowing for precise actions to limit its transmission. This method efficiently allocates resources to minimize crop losses and promote sustainable farming. Farmers use drones to protect their crops from potential agricultural dangers, enhancing their resilience.

Collaborators

  • Thangeshwari, Department of Plant Pathology, Tamil Nadu Agricultural University,Coimbator
  • Adarsh V Srinivasan, Founder & CEO, Skyx Aerospace PVT.LTD

Metadata Tool

In the Indian Universities, data science courses are offered to computer science undergraduates only in their higher semesters of under-graduation. Keeping in mind, the growing importance of data science, under-graduates need to be introduced to data science courses in their first year of under-graduation itself. As an outcome, a software named MetaData is developed that abstracts all levels of implementation and helps students and industry users better understand the fundamental concepts in data science by observing the applicability of these concepts on real world datasets. The tool is a web based solution that will provide one stop solution for loading data, model selection, Model evaluation with data interpretation features.

Collaborators : Dr.Madhusudana Rao Nalluri
Mentor : Chetan Nadiger,Valeo

ASAIVU(Amrita Security Alert Indicator for Violence Undertaking)

In today’s environment monitoring of activities of students in school and college is of high need. Though there are systems in practice they do not provide real time early detection of anomalies that can be considered as class that might lead to violence. The aim of this product is to integrate with Network cameras at real time and monitor for activities related to events that can be classified as violence in school and college environment.

Collabrators : Mr.Vasan Sowriraja,CEO,1000 lookz

Achievements

TAMILNADU POLICE HACKATHON 2022

Organiser Name: TN Cyber Wing – Cyber Arangam
Theme: VoIP Call Tracing
Date: 9th and 10th December 2022
Team Name: Packet Pickers
Mentor Name: Dr.T.Senthilkumar

Team Members:

  • Deepan Kumar S – cb.en.u4cse20117@cb.students.amrita.edu
  • Rengaraj R – cb.en.u4cse20154@cb.students.amrita.edu
  • Pranesh R – cb.en.u4cse20150@cb.students.amrita.edu
  • Akhilesh R – cb.en.u4cse20105@cb.students.amrita.edu

The team secured the second position.

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