Dr. R. Malmathanraj

Email 

rmathan@nitt.edu

 

Educational Qualification

 

Degree University Year Division Specialization
Ph.D.

Madras Institute of Technology,                Anna University, Tamilnadu

 2011 Awarded Faculty of Information and Communication.
M.E.

Mepco Schlenk Engineering College, Madurai Kamaraj University, Tamilnadu

 2002 First Class with Distinction Communication Systems
B.E. National Engineering College,Manonmaniam Sundaranar University, Tamilnadu 2001 First Class Electronics and Communication Engg.

 

Employment Profile

Duration Position Organization
14/10/2004 -  30/11/2005 Project Associate Centre for Aerospace Research, Department of Information Technology , Madras Institute of Technology, Anna University, Tamil Nadu.
16/03/2006 - 07/05/2007 Lecturer Department of ECE at Dr.Sivanthi Aditanar College of Engineering, Tiruchendur, Tamil Nadu
07/06/2007 - till date Assistant Professor Department of ECE National Institute of Technology, Trichy, Tamil Nadu.

Professional Interests

  • Reinforcement learning

  • Medical Image Processing

  • Deep Learning 

  • Machine Learning 

  • Digital Image Processing

  • Electronic Circuits

  • Digital Circuits and Systems

  • Soft Computing

PUBLICATIONS

LIST OF INTERNATIONAL JOURNALS

  1. S. Thamarai Selvi and R. Malmathanraj, “Solving Battle Management Command Control and Communication problem using Modified BIONET’, Defence Science Journal, vol. 56, no. 4, pp. 627-636, Oct. 2006. 
  2. S. Thamarai  Selvi and R. Malmathanraj, “Missile Defense and Interceptor allocation by LVQ-RBF Multi-agent Hybrid architecture”, Defence Science Journal, vol. 57, no. 2, pp. 173-183, Mar. 2007. 
  3. S. Thamarai  Selvi and R. Malmathanraj, “Mammogram tumor classification using Q learning”, Int. J. Biomedical Engineering and Technology, Inderscience Publishers Switzerland vol. 7, no. 4, pp. 339-352, 2011.
  4. S.Thamarai  Selviand R. Malmathanraj, “Mammogram Classification Using Support Vector Machines”, International Journal of Soft Computing 3 (3), pp. 212-219, 2008.
  5. S. Thamarai  Selvi and R. Malmathanraj, “Synchronous Quadri Phase Shift Keying”, Asian Journal of Information Technology 7 (1), pp. 12-14, 2008.
  6. R. Malmathanraj, S. Thamarai Selvi, “Prediction of Aerodynamic Characteristics Using Neural Networks”,  Asian Journal of Information Technology 7 (1), pp. 19-26, 2008.
  7. R. Malmathanraj, S. Thamarai Selvi, “Artificial Neural Network application in Parameter Optimization of Rectangular Microstrip Patch Antenna”, UbiCC Journal, vol. 3, no. 2, Volume 3 No. 2, Apr. 2008.
  8. R. Malmathanraj, S. Thamarai Selvi and S. Mathanraj, “Solving Missile Defense and Interceptor allocation problem using Reinforcement learning and optimization techniques”, International Journal of Recent Trends in Engineering, vol. 2, no. 3, pp. 117-119, Nov. 2009.
  9. R. Malmathanraj and T. Francis Tyson, “Characteristic Prediction of Wind Tunnel Tests using Learning from Examples”, International Journal of Computer Applications, IJCA Journal Volume 35 - Number 6 Year of Publication: 2011.
  10. Thavasi Raja, R. Malmathanraj and M. Arun, Document Clustering using Learning from Examples, International Journal of Computer Applications, IJCA Journal,Volume 39 - Number 12, 2012.
  11. Thavasi Raja, P. Krishna Chaitanya, R. Malmathanraj, Performance Analysis of Independent Component Analysis Algorithms for Multi-user Detection of DS-CDMA, International Journal of Computer Applications, IJCA Journal, Volume 39 - Number 11 , 2012
  12. Sriramkumar, R. Malmathanraj, R. Mohan and S. Umamaheswari, “Mammogram tumour classification using modified segmentation techniques”, Int. J. Biomedical Engineering and Technology, Vol. 13, No. 3, 2013.
  13. Utkarsh Gautam, and Malmathanraj Ramanathan, “Simulation for Path Planning of SLOCUM Glider in Near-bottom Ocean Currents Using Heuristic Algorithms and Q-Learning”, Defence Science Journal, Vol. 65, No. 3, May 2015, pp. 220-225, DOI : 10.14429/dsj.65.7855
  14. Sundaram, J. Abitha, R. Malmathanraj, K. Ramar, “Wood species classification based on local edge distributions”, Journal of Optik (2015), http://dx.doi.org/10.1016/j.ijleo.2015.07.044
  15. Asutosh Mohapatra, S. Shanmugasundaram, R. Malmathanraj, “Grading of ripening stages of red banana using dielectric properties changes and image processing approach”, Computers and Electronics in Agriculture, 143 (2017) 100–110.
  16. Sivaraj, R. Malmathanraj, P. Palanisamy, “Detecting anomalous growth of skin lesions using threshold based segmentation algorithm and fuzzy k-neighborhood classifier”, Journal of cancer research and therapeutics, in print 2019.
  17. Vikas R. Phate, R. Malmathanraj, P. Palanisamy, “Classification and weighing of sweet lime (Citrus limetta) for packaging using computer vision system”, Journal of Food Measurement and Charecterization, vol. 13(2), pp.1451-1468, Impact Factor (1.181).
  18. Vikas R. Phate, R. Malmathanraj, P. Palanisamy, “Clustered ANFIS weight models for sweet lime (Citrus limetta) using computer vision system”, Journal of Food Processing Engineering, vol. 42(6); e13160. Wiley (SCIE), Impact Factor (1.955).
  19. Yogeswararao Gurubelli, Malmathanraj Ramanathan, Palanisamy Ponnusamy. “Fractional fuzzy 2DLDA approach for pomegranate fruit grade classification”, Elsevier journal of Computers and Electronics in Agriculture Volume 162 (2019), 95–105.
  20. Vikas R. Phate, R. Malmathanraj & P. Palanisamy, “Classification and indirect weighing of Sweet Lime Fruit through Machine Learning and Meta-heuristic approaches”, International Journal of Fruit Science (T&F), DOI: 10.1080/15538362.2021.1911745.
  21. Yogeswararao G.;Naresh V.;Malmathanraj R.;Palanisamy P., " An efficient densely connected convolutional neural network for identification of plant diseases", Multimedia Tools and Applications,(2022) DOI:10.1007/s11042-022-13053-1.
  22. Yogeswararao G.;Malmathanraj R.;Palanisamy P., " Fractional weighted nuclear norm based two dimensional linear discriminant features for cucumber leaf disease recognition", Multimedia Tools and Applications,(2022) DOI:10.1007/s11042-022-13013-9.
  23. Naik B.N.;Malmathanraj R.;Palanisamy P., " Detection and classification of chilli leaf disease using a squeeze-and-excitation-based CNN model", Ecological Informatics, Volume 69.(2022).  DOI:10.1016/j.ecoinf.2022.101663.  
  24. Yogeswararao G.;Malmathanraj R. and Palanisamy P.,Colour texture descriptor for CBIR of diseased tomato leaf images using modified local zigzag pattern, December 2022, Multimedia Tools and Applications, DOI:10.1007/s11042-022-14292-y. 
  25. Bhookya Nageswararao Naik, Malmathanraj Ramanathan, and Palanisamy Ponnusamy "Refined single-stage object detection deep-learning technique for chilli leaf disease detection," Journal of Electronic Imaging 32(3), 033039 (30 June 2023). DOI:10.1117/1.JEI.32.3.033039.
  26. Naresh V.;Malmathanraj R.;Palanisamy P. "Features of pyramid dilation rate with residual connected convolutional neural network for pest classification", Signal, Image and Video Processing, 20 July 2023. https://doi.org/10.1007/s11760-023-02712-x. 
  27. Naresh V.;Malmathanraj R.;Palanisamy P; Yogeswararao G. "Optimized Residual Parallel Separable Convolution Layers for Pest Classification",  SN Computer Science, (2023) 4:818,28 August 2023. https://doi.org/10.1007/s42979-023-02277-z.
  28. Naresh V.;Yogeswararao G.;Bhookya Nageswararao Naik.;Malmathanraj R and Palanisamy P., Empirical analysis of Squeeze and Excitation based Densely Connected CNN for Chilli leaf disease identification, IEEE Transactions on Artificial Intelligence, April 2024. https://doi.org//TAI.2024.3364126
  29. Bhookya Nageswararao Naik, Malmathanraj Ramanathan, and Palanisamy Ponnusamy., "Leaf disease classification of various crops using deep learning based DBESeriesNet model", SN Computer Science, 2024.https://doi.org/10.007/s42979-024-02746-z.
  30. V Naresh, Malmathanraj Ramanathan, and Palanisamy Ponnusamy., "A lightweight deep and cross residual skip connection separable CNN for plant leaf diseases classification", Accepted for Publication, Journal of Electronic Imaging, SPIE.
  31. Karthik Siva,Palanisamy Ponnusamy, and Malmathanraj Ramanathan., "Disrupted Brain Network Measures in Parkinson’s Disease Patients with Severe Hyposmia and Cognitively Normal Ability", Brain Sciences, July 2024.

LIST OF INTERNATIONAL AND NATIONAL CONFERENCES

  1. S. Thamarai  Selvi and R. Malmathanraj, “An agent based approach to Human resource Management”, National workshops on ROAD TO Ph.D (NWRP’03) and MACHINE INTELLIGENCE USING SOFT COMPUTING on RMK Engineering College, Aug. 2003.(Abstracts of Proceedings)
  2. S. Thamarai Selvi and R. Malmathanraj, “Missile Defense and Interceptor allocation by Modified BIONET”, The 9th International Conference on Engineering Applications of Neural Networks EANN2005 Lille, France, Aug. 2005.
  3. R. Malmathanraj, S. Thamarai  Selvi and E. Mahendran , “Prediction of Aerodynamic Characteristics using Neural Network”, First National Conference on Advanced Computing , Madras Institute of Technology, pp. 198-208, Feb. 2006.
  4. S. Thamarai  Selvi and R. Malmathanraj, “Segmentation and SVM classification of Mammograms”, IEEE sponsored ICIT Conference, Mumbai,  Dec. 2006.
  5. R. Malmathanraj, S. Thamarai  Selvi and J. Ganesh, “Agent based management by exception using modified fuzzy q learning”, First Indian Conference on Computational Intelligence & Information Security (ICCIIS ) Thiagarajar College of Engineering, pp. 109-114, Jan. 2007.
  6. A. Beno, R. Malmathanraj, S. Thamarai Selvi and R. Yadava, “Artificial Neural Network Application in Parameter Optimisation of Rectangular Microstrip Patch Antenna”, Proceedings of the international conference on ADvances in Electronics and Communications (icon ADELCO 2007) National Engineering College, Kovilpatti, Tamilnadu, India, pp. 587-596, Feb. 2007.
  7. P. D. Manuel, A. Barr , R. Malmathanraj , S. Thamarai  Selvi and E. Mahendran, “Knowledge Discovery from Text Documents Using Neural Network Based On Abstract Maps”, International Conference on Mathematics and Computer Science, Loyola College, Chennai, India, pp. 694-700, Mar. 2007.
  8. S. Thamarai  Selvi and R. Malmathanraj, “Solving BMC3 problem using biologically inspired algorithms”, Proceedings of the International Conference on Mathematical and Computational Models (ICMCM,2009), PSG College of Technology, Coimbatore 641004, pp. 312-320, Dec. 2009.
  9. R. Malmathanraj and S. Thamarai  Selvi, “Brain MRI Image Analysis using Hurst parametric features and SVM”, Proceedings of the 5th National Conference on Advanced Image Processing and Networking (NACIPAN’09), pp. 121-139, Mar. 2009.
  10. R. Malmathanraj and S. Thamarai  Selvi, “Mammogram Classification using Primitive Texture Spectrum and Support Vector”, Proceedings of the 5th National Conference on Advanced Image Processing and Networking (NACIPAN’09), pp. 140-154, Mar.2009.
  11. D. Sriramkumar, R. Malmathanraj, V. Arunkumar, “An analysis of target tracking methods for phased array antenna”, National Conference on recent trends and research issues in antennas, vol. 1, pp. 1-20, Feb. 2010
  12. K. Arunkumar, R. Aswath,  D. Sriramkumar and R. Malmathanraj, “Optimisation of multi slotted Rectangular Microstrip Patch antenna using ANN and Bacterial Foraging Optimisation”, Asia Pacific International Symposium on Electromagnetic Compatibility, pp. 449-452, Apr. 2010.
  13. R. Malmathanraj, Aswin. N. Raghavan, V. Srivas and R. G. Rangarajan, “Mammogram tumor classification using Q learning based thresholding”, BEATS 2010, NIT JALANDHAR.
  14. I. Balakrishna, R. Malmathanraj, S. Raghavan, “CPW fed Rectangular Slot antenna for wide band applications” TechSym 2011 - Proceedings of the 2011 IEEE Students' Technology Symposium, IIT KGP 2011, Pages 109-112.
  15. R.Malmathanraj and M. Arun, "A distributed e-health care system for patient monitoring and diagnosis", IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT) Ramanathapuram. 2012.
  16. E.Braz, R.Malmathanraj and R. Mohan. "Visualization of Hyperspectral Images Using Maximum Intensity Pixel selection and Fusion by Weighted average", International Conference on Electrical Electronics and Computer science Engineering , Chennai , 2013.
  17. Gautam, Utkarsh; Malmathanraj, R.; Srivastav, Chhavi, Simulation for path planning of autonomous underwater vehicle using Flower Pollination Algorithm, Genetic Algorithm and Q-Learning, Proceedings - International Conference on Cognitive Computing and Information Processing, CCIP 2015, Year 2015.
  18. Vikas R. Phate, R. Malmathanraj, P. Palanisamy, “Mathematical modeling for weight estimation of sweet lime fruit”, International conference on analysis and applied mathematics, vol. 1, pp. 52-57, July 2018.
  19. V. Ramalakshmi, R. Malmathanraj, “Detection, counting and classification of several distinct fruits”, International conference on analysis and applied mathematics, vol. 1, pp. 45-51, July 2018.
  20. V. Ramalakshmi, R. Malmathanraj, “Circular shaped fruits detection and counting using FNCC and image processing techniques”, International conference on analysis and applied mathematics, vol. 1, pp. 58-63, July 2018.
  21. Vikas R. Phate, R. Malmathanraj, P. Palanisamy, “A novel approach for sweet lime volume estimation using dimensional analysis and artificial neural network”, International conference on recent advances in food processing technology, IIFPT, Thanjavur, 17-19,Aug. 2018.
  22. G. Yogeswararao, R. Malmathanraj, P. Palanisamy, “Grading of pomegranate and mango fruits using texture and color gradient features with kernel SVM classifier”, International conference on recent advances in food processing technology, IIFPT, Thanjavur, 17-19,Aug. 2018.
  23. G. Yogeswararao, R. Malmathanraj, P. Palanisamy, “Texture and Colour Gradient Features for Grade analysis of Pomegranate and Mango Fruits using kernel-SVM Classifiers”, 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2020, pp. 122-126, doi: 10.1109/ICACCS48705.2020.9074221.
  24. Nageswararao Naik Bhookya, R. Malmathanraj and P. Palanisamy, "Yield Estimation of Chilli Crop using Image Processing Techniques," 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2020, pp. 200-204, doi: 10.1109/ICACCS48705.2020.9074257.
  25. Vikas R. Phate, R. Malmathanraj, P. Palanisamy, “An indirect method to estimate sweet lime weight through machine learning algorithm”, International conference on Computing Methodologies and Communication (ICCMC 2020), Tamil Nadu, India, 11-13 March, 2020
  26. G. Yogeswararao, R. Malmathanraj, P. Palanisamy, “A combination of 2DLDA and LDA approach for fruit grade classification with K-SVM” International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications Convener (ICMISC), Hyderabad – India, Mar 28-29, 2020.
  27. G. Yogeswararao, R. Malmathanraj, P. Palanisamy, "An Improved Content Based Image Retrieval System for Tomato Leaf Disese Classification", International Conference on Computational Intelligence in Machine Learning, (ICCIML 2021), 2021.

 

BOOK/BOOK CHAPTERS

1. G. Yogeswararao, R. Malmathanraj, P. Palanisamy,(2022) “Fuzzy Weighted Nuclear Norm based 2D Linear Discriminant Features for Fruit grade classification", Futuristic Research Trends and Applications of Internet of Things, CRC Press , Taylor and Francis, U.S.A.

2. G. Yogeswararao, V. Naresh, R. Malmathanraj, P. Palanisamy, Karthik B, (2022) " Parallel Dense skip connected CNN Approach for Brain Tumor Classification", Current Applications of Deep Learning in Cancer Diagnostics, CRC Press , Taylor and Francis, U.S.A. 

PhD Student Graduated 

  1. Dr. Phate Vikas Ravindra (QIP Polytechnic)  - Implementation of Computer Vision based System for Mass Modelling of Sweet Lime Fruits - 2021.
  2. Dr.Gurubelli Yogeswararao - Improvements on 2DLDA and Deep Learning Approaches for Fruit Grading and Leaf Disease Recognition - 2022.
  3. Dr. B Nageswararao Naik - Chilli Leaf Disease Classification Using Deep Learning Techniques. 2024.
  4. Mr V Naresh- A Study on Leveraging Different Convolution Operators in CNN for Agricultural Image Application. Viva Completed on 16.10.2024

GUIDING Ph.D. STUDENTS - HTRA

  1. Ms Varsha Singh- Single Image Super Resolution.
  2. Mr A Sathish Kumar- Federated Learning Solutions to Image based ASD Diagnosis.

GUIDING Ph.D. STUDENTS - QIP

  1. Prof. Smitha S L - Course Work.

GUIDING Ph.D. STUDENTS - PT

  1. Ms. Adapa Sowjanya- Image steganography.
  2. Mr. Nallam Ramakumar- Investigations on Deep Learning Algorithms for Agricultural Image Applications.

PROJECTS GUIDED

Under Graduate

  • Steganalysis of LSB encoding in Digital images using GLCM and Neural networks. May 2010
  • Multilevel image thresholding using reinforcement learning. May 2010.
  • Mammogram classification using a novel segmentation technique. May 2012.
  • Image Matching using Fast Random Walker Segmentation, SIFT feature extraction and dimension reduction using ICA- May 2013.
  • Object Recognition by Descriptor trained Neural Network based on Reinforcement Learning- May 2013.
  • Elastic shape texture matching for Face recognition. May 2014.
  • Estimation of Economic entities using auto regressive modeling and exponential smoothing. May 2014.
  • Data transmission and receiving through Visible light communication. May 2014.
  • Fingerprint recognition using LBP, CLBP and NRLBP- May 2014.
  • Deblurring using blind deconvolution Algorithm. May 2015.
  • Micro chip design optimization using Genetic Algorithms. May 2015.
  • Lexical text simplification-2016.
  • SLAM based vision sensor Q-learning implementation in a BOT-2016. Mr.Girish Kumar E, Project felicitated and Awarded by Sonata Software and Center for Entrepreneurship Development and Incubation (CEDI) of NITT.
  • Sharpening enhancement of computed tomography (CT) images-2017.
  • Low-cost DRM receiver -2017.
  • Lung cancer nodule detection and classification using convolutional neural network-2018.
  • Turmeric weight estimation using computer vision system-2019.
  • Music composition using LSTM neural network-2019.
  • Plant disease classification and content based image retrieval-2020.
  • Image Captioning using Deep Learning -2021.
  • Recognition of facial emotions in cartoons using Deep Learning-2021.
  • Path Planning of Mobile Robot using Reinforcement Learning Algorithms-2022.
  • Skin Cancer Detection Using Smartphone based Images and Machine Learning Algorithms-2022.
  • Recognition of Intent Categories in Imagined and Performed Movements from EEG Motor Signals - 2022.
  • Detecting early signs of ASD with fMRI and Machine Learning - S Rajakumar and R Venkatesh - May 2023.
  • Video Induced Emotion Recognition using EEG Signals - Daaris Ameen - Co Advisor - Dr B Shameedha Begum - May 2023.
  • Hyperspectral Image Super Resolution using Deep Convolutional Neural Networks - P.Abhinandan and V.Sreeram - May 2023. 
  • Fostering Collaborative Healthcare: : Privacy-preserving Medical Image Segmentation with Federated Learning - Deepesh Dhanvijay(Roll Number 108120030) and Sudhanshu (Roll Number 108120127)- May 2024. 
  • LTE and NR Modem Power Analysis and Optimisation - Devara Thanuja (Roll Number 108120032)- May 2024. 
  • Acoustic Scene Classification and Sound Event Detection using Deep Learning - Ramakrishna Reddy Thangirala (Roll Number 108120101) and Shashank Reddy Kankanala (Roll Number 108120047)-May 2024.

Post Graduate 

  • Estimation of Mixing matrix for ICA using biologically inspired algorithms. May 2010.
  • A Distributed E-healthcare system for patient monitoring and Diagnosis, December 2011.
  • Genetic Algorithm based Patient scheduler. May 2012.
  • Text Segmentation for MRC Document Compression Application- Dec 2012.
  • A Reinforcement learning framework for medical image segmentation. May 2013.
  • Verification closure for LCD calibration, AFC features of high-speed serial interconnect-2015.
  • Optimizing payload for achieving maximum throughput for various ACK's in IEEE 802.15.3C-2016.
  • Analysis and investigation of interference rejection combining technique in advanced long-term evolution (LTE-A)-2017.
  • Multiple Fruit Detection and counting using FNCC and CHT algorithms- Dec 2017.
  • Detection, classification and counting of several distinct fruits using neural network-2018.
  • Reconstruction for spatially distributed single-pixel imaging based on pattern filtering-2018.
  • Adaptive Cloning K-means clustering algorithm for segmentation of Tomato leaf images-Dec 2019.
  • Nuclear Norm Based Fractional 2DLDA approach for Cucumber Leaf Disease analysis-Dec 2019.
  • Image stitching using SIFT algorithm-2020.
  • Feature extraction of image using low rank approximation-2020.
  • Fast energy efficient radix-16 sequential multiplier-2021.
  • Timing closure for process sun system and complex FIR based Fractional SRC-2021.
  • Design and Analysis of Approximate Multiplier for Convolution in Quantized CNN Application-Dec 2021.
  • Multiplicative LSTM Based Approach for Image Captioning-Dec 2021.
  • Testing of Embedded Memories on SOC using MBIST DFT Technique-May 2022.
  • NAND based Trace Decoder Tool-May 2022.
  • GAN Based Single Image Super Resolution for Brain MRI images - Dec 2022.
  • Implementation of Sigmoid and Hyperbolic Tangent Activation Functions using Efficient Hardware Architecture - Dec 2022.
  • Comparison and Extension of High Speed and Low Power Multiplier Architectures for Image Processing Applications - Dec 2022.
  • Implementation of MINI NAND - V Kavana - May 2023.
  • DESIGN OF NON-ACTIVE CLOCK AND POWER LOSS DETECTION AND REPORTING - Bodakurthi Ganesh - May 2023.
  • Design and Implementation of Low Power and High Speed Multiplier for Image Enhancement Techniques - Vysyaraju Sai Chandanraju - May 2023.
  • Advanced Digital Image Steganography using Deep Convolutional Neural Networks- Ravikumar Rai-Dec 2023.
  • FPGA Implementation of Pipelined Blowfish Algorithm - Deepak Kumar - Dec 2023.
  • Implementation of Steganalysis using Separable Convolution based Deep Learning Model- Ravikumar Rai-Jan 2024.
  • Implementation of COOKTOOM Algorithm on RISC Processor- Deepak Kumar - Jan 2024.

Internship Projects (Other Institutions) 

  • Computed Tomography Image Reconstruction Using U-net- Mr. Abhishek Chakraborthy, Dr.Ambedkar Institute of Technology, Bangalore.2022
  • Analysis on Windowing and Feature Extraction for Epilepsy and Seizure Detection using EEG Signals- Mr. Satheesh Kumar N, Jeppiaar Institute of Technology.2024
  • Analysis of Multi Channel Deep Learning Networks for Structural Health Monitoring- Mr.Mohan Aditya M, Vellore Institute of Technology-Andhra Pradesh. Mr.Shiva Krishnan R, National Institute of Technology- Py, Mr.Shivraj Aniruddha Bhalekar, Indian Institute of Information Technology Nagpur, 2024
  • An EEG based computational model for Epileptic seizure detection and Preictal time prediction- Mr. Shyam Sundar D,SSN College of Engineering, Chennai.2024

Reviewer​

  • Multimedia Tools and Applications
  • Symmetry
  • Diagnostics(2)
  • Agriculture, Agronomy (18)
  • European Journal of Remote Sensing
  • Applied Sciences(3)
  • SN Computer Science(5)
  • Sensors(2)
  • Energies
  • Mathematics (6)
  • Sustainability
  • Remote Sensing
  • Computers in Biology and Medicine (2)
  • Biosystems Engineering
  • Postharvest Biology and Technology
  • Information Processing in Agriculture (3)
  • Expert Systems with Applications(4)
  • Heliyon
  • Engineering Applications of Artificial Intelligence
  • Computers and Electronics in Agriculture (5)
  • Smart Agricultural Technology
  • Journal of Agricultural and Food Research(8)
  • Knowledge Based Systems
  • Ecological Informatics(4)

Research Credentials

Vidwan-ID: 54105

Researcher ID: AAR-4514-2021

Scopus ID: 16234036900

Orcid ID: 0000-0002-1544-278X

REFRESHER/ORIENTATION/SHORT TERM COURSES ATTENDED/ SEMINARS/ CONFERENCES/ WORKSHOPS ATTENDED

  1. Participated in one day workshop on “FABRICATION OF FLEXIBLE MICROWAVE-FREQUENCY CIRCUITS AND ANTENNAS AND THEIR APPLICATIONS” held on 2nd September 2006, at the Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu.
  2. Participated in Two day workshop on “SPECIAL TOPICS IN MICROWAVES” under TEQIP Networking, during 18-19 December, 2007, at the Department of Electronics and Communication Engineering, NIT Tiruchirapalli, Tamil Nadu. 
  3. Attended Pre-conference tutorial on “SCILAB” held on 27th December 2007, by Dr. Parthasarathy, Algologic Research & Solutions, Secundarabad, India at the Department of Instrumentation and Control Engineering, NIT Tiruchirapalli, Tamil Nadu.  
  4. Participated in One day workshop on “BIOLOGICALLY INSPIRED ALGORITHMS FOR DIGITAL SIGNAL PROCESSING APPLICATIONS” under TEQIP, on 17th  April, 2008, at the Department of Electronics and Communication Engineering, NIT Tiruchirapalli, Tamil Nadu.  
  5. Attended the One Day Training Programme on “COMPUTER NETWORKING-HARDWARE AND SOFTWARE” held on 19th  February 2009, by M/s. SANAT Technologies, Chennai, at  NIT Tiruchirapalli, Tamil Nadu.  
  6. Attended the Two Day Training Programme on “PRACTICAL ASPECTS OF COMPUTER NETWORKING” held on 12th  and 13th March 2009, by M/s. EXTREME NETWORKS, Chennai, at  NIT Tiruchirapalli, Tamil Nadu.  
  7. Participated in One day National Workshop on “PATENT INFORMATION” held on 29th April 2009, at  Bharathidasan University, Tiruchirapalli, Tamil Nadu.  
  8. Attended the One-day Workshop on “POWER ELECTRONIC SIMULATION-SEQUEL” organized by the Department of Electrical and Electronics Engineering, National Institute of Technology, Tiruchirapalli, Tamil Nadu-620 015 under the aegis of National Mission on Power Electronics Technology (NaMPET) on 4th May 2009. 
  9. Participated in the MHRD-AICTE sponsored staff development programme on “ENGINEERING PRACTICES ON FUZZY LOGIC, NEURAL NETWORKS AND HYBRID INTELLIGENT SYSTEMS” organized by the Department of Mathematics and Electrical and Electronics Engineering, National Institute of Technology, Tiruchirapalli, Tamil Nadu-620 015 from 15th to 27th  June 2009. 
  10. Participated in the MHRD-AICTE sponsored faculty development programme on “RECENT TRENDS IN MICROWAVE INTEGRATED CIRCUITS” organized by the Department of  Electronics and Communication Engineering, National Institute of Technology, Tiruchirapalli, Tamil Nadu-620 015 from 13th to 17th  July 2010. 
  11. Participated in the “TWO-DAY WORKSHOP ON PID CONTROLLER” organized by Department of Instrumentation Engineering, Madras Institute of Technology Campus, Anna University, Chennai, during 17th and 18th September 2010.
  12. Two days Faculty Oriented Programme on “Class Room Management & Communication” held on 2012, at Hotel Sangam, Tanjore.
  13. Two week ISTE Workshop on Signals and Systems Conducted by Indian Institute of Technology Kharagpur, 2014. This workshop was held under the National Mission on Education through ICT (MHRD).
  14. Participated in intensive Continuing Education Tutorial Workshop on "Nature Inspired Computing for Engineerring Applications", April 6-8, 2015 conducted by CCE, Indian Institute of Science, Bangalore. 
  15. Participated in the TEQIP –II sponsored “Conclave on Academic Reforms (CAR 2015), 2015 held at National Institute of Technology, Tiruchirappalli.
  16. Participated in the CEP course on "Introduction to Machine Learning and Deep Learning with Applications to engineering systems", February 23-25,2019 conducted by IIT Bombay.
  17. Participated in the CE & QIP course on "Advanced Techniques in Deep Learning", April 23-25,2019 conducted by IIT Bombay.
  18. One-day outbound workshop Supporting Student Learning & Well - Being - Crafting the New Millennial", 2019, Sponsored by TEQIP.
  19. Training on E-Content development during May 11-15, 2020 (5 days training). NITTTR, Chennai.
  20. Attended 3rd one week Self sponsored Short term Course on " Advances in Deep Architectures for Signal, Image and Vision Applications", Nov 30th -  Dec 6th, 2020 organised by Computer Vision aand Biometrics Lab, IIIT Allahabad.
  21. Attended 4th one week Self sponsored Short term Course on " Advances in Deep Architectures for Signal, Image and Vision Applications", Dec 6th - Dec 10th, 2021 organised by Computer Vision aand Biometrics Lab, IIIT Allahabad.
  22. Attended one week Online Short Term Course on AI based Signal and Image Processing , May 29 - June 2, 2023, Organised by ECE Department , Dr B R Ambedkar National Insitute of Technology, Jalandhar.

Subjects Handled at NIT, Tiruchirappalli

  • Electronic Circuits.
  • Soft Computing. 
  • Digital Image Processing.
  • Electronic Circuits Lab.
  • Digital Electronics Lab.
  • Foundations of Medical Imaging.
  • Digital Circuits and Systems.
  • Applied Electronics.
  • Mobile Communication.
  • Satellite Communication.
  • Programming in C and C++.
  • DSP for Medical Imaging.

Invited Talks delivered

1. Insights into Deep Learning  on 11.01.2021 at PSNA College of Engineering, Dindigul, Tamilnadu.                                                                     

2. Neural Networks in medical image processing on 21.10.2016 at Kongu Engineering college,  Tamilnadu.                                                                                        

3. Applications of MATLAB in Engineering and Research on 23.9.2016  at Parisutham Institute of Technology, Tamilnadu.                                                                  

4. Reinforcement Learning for Biomedical applications on  12.08.2016  at Sona College of Technology, Tamilnadu.

5. Talks were also delivered at Kamaraj College of Engineering and Technology, Tamilnadu, VCEW Tiruchengodu and B.S.A Rahman Crescent Institute of Science and Technology, Tamilnadu.

 

Other Details and Responsibilities

  1. Best Paper award, IEEE International conference ICCMC , Erode , India.

  2. Class Committee Chairperson for B.Tech and  M.Tech.

  3. Assisted in coordinating Ph.D compulsory course work EE 801 and assisted in scrutinizing and admission of Ph.D/M.S Scholars.

  4. Member of Board of Studies for Electronics and Communication Engg Department, NIT,Trichy-15 .

  5. Project Evaluation committee member for M.Tech 2 times and Project Evaluation committee member for B.Tech 2 terms .

  6. Coordinator for Internship Evaluation and Comprehensive Viva.

  7. Coordinator - Computer Vision and Machine Learning Research Lab. 

  8. Membership in Professional body of ISTE, IEEE.

  9. Convocation Committee Member.

  10. Member Seating and Logistics Committee , Convocation Committee (2022).

  11. Faculty Advisor.

  12. Member of the Progressive Review Judge Panel for SANGAM intra collegiate technical competition of PRAGYAN, NIT Trichy- 2020, 2021.

  13. Sub reviewer, Reviewer and TPC member for International Conferences.

  14. Doctoral Committee Member for NICHE and Anna University.

  15. Indian Examiner, Anna University.

  16. Question paper setter for Anna University.

  17. Indian Examiner (Thesis Evaluation, M.Tech By Research Thesis) - Sathyabama University, Chennai.

  18. Comprehensive Viva Voce Examination Member for PhD Candidate at A.P.J Abdul Kalam Technological University, Kerala. 

  19. Session Chair , International Conference on Intelligent Innovations in Engineering and Technology (ICIIET-2022). 

  20. Member, DPEC Committee M.Tech (Comn Systems) 2022-2024. 

  21. Member Seating and Logistics Committee , Convocation Committee (2023).

  22. Internship Evaluation Committee Member 2023 & 2024.
  23. Anti Ragging Committee Member 2024.

                                                                                                       

Contact Address

Dr R. Malmathanraj M.E., Ph.D., M.I.S.T.E., SM IEEE
Assistant Professor (Grade I),
Department of Electronics and Communication Engineering,
NIT Tiruchirappalli -620015.

Phone: 0431-2503323.

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