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Dr. M Krishnamoorthi

Dr. M Krishnamoorthi

B.E., M.E., Ph.D.

Professor & Head

Information Technology
AICTE ID: 1-7379045998
krishnamoorthi@drngpit.ac.in
ORCID Scopus Web of Science LinkedIn Vidwan

Biography

Dr. Krishnamoorthi Murugasamy received his Bachelor of Engineering degree from Bharathiar University, Coimbatore, India, in 2002, and his Master of Engineering degree from Annamalai University, Chidambaram, India, in 2004. He obtained his Ph.D. in Computer Science from Anna University, Chennai, India, in 2014. With over 22 years of academic experience, he is currently serving as Professor and Head of the Department of Information Technology at Dr. N. G. P. Institute of Technology, Coimbatore, a position he has held since September 2021. His research interests encompass Machine Learning, Artificial Intelligence, Data Analytics, and Optimization Techniques, with a particular emphasis on data-driven intelligent systems. Dr. M. Krishnamoorthi has made significant contributions to research and innovation, holding three patents, including one granted patent, and publishing more than 50 research articles in reputed journals indexed in Web of Science and Scopus. He is a recognized Research Supervisor under Anna University, Chennai, currently guiding eight Ph.D. scholars, while four research scholars have successfully completed their doctoral studies under his guidance. He is a life member of professional bodies such as the Indian Society for Technical Education (ISTE) and the Institution of Engineers (India) [IE(I)]. He has secured research grants amounting to ₹20 lakhs from the Indian Council of Social Science Research (ICSSR). In addition, he has received a total of ₹5 lakhs from DRDO and AICTE-ATAL for organizing Faculty Development Programmes (FDPs). His academic and research activities are focused on advancing intelligent computing technologies, fostering industry-academia collaboration, and promoting quality technical education and research.

Academic Credentials

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Degree Specialization Institute University Year of Passing
Ph.D. Computer Science and Engineering Bannari Amman Institute of Technology Anna University 2014
M.E. Computer Science and Engineering Annamalai University Annamalai University 2004
B.E. Electrical and Electronics Engineering Bannari Amman Institute of Technology Bharathiar University 2002

Academic & Professional Experience

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Experience / Role Type Organization Duration Total
Professor and Head Teaching Dr.N.G.P Institute of Technology May 2019 - Present 7 Years 2 Months
Associate Professor Teaching Bannari Amman Institute of Technology, Sathyamangalam June 2004 - April 2019 15 years 11 Months

Areas of Expertise

Data Science and Machine learning

Departmental Roles

Head of the Department

Journal Publications

  1. M.Krishnamoorthi & AM Natarajan, (2013), “Artificial Bee Colony algorithm integrated with Fuzzy C-mean operator for data clustering”, Journal of Computer Science, Volume 9, No. 4, pp. 404-412(SCOPUS).
  2. M.Krishnamoorthi & AM Natarajan, (2013), “ABK-means: an algorithm for data clustering using ABC and K-means algorithm”, International Journal of Computational Science and Engineering, Volume 8, no. 4, pp. 383–391 (SCOPUS & WEB OF SCIENCE).
  3. M.Krishnamoorthi, (2014) ‘Hybrid Modeling Algorithm for Continuous Tamil Speech Recognition’, World Academy of Science, Engineering and Technology - International Journal of Computer, Information, Systems and Control Engineering, Volume 8, no.12, pp.1927-1934.
  4. M.Krishnamoorthi, (2014) ‘Adaptive Noise Reduction Algorithm for Speech Enhancement’, World Academy of Science, Engineering and Technology - International Journal of Computer, Information, Systems and Control Engineering, Volume 8, no.6, pp.987-994.
  5. M.Krishnamoorthi, (2014) ‘Modified noise reduction algorithm for speech enhancement’, Applied Mathematical Sciences, Volume 8, no. 89, pp.4447-4452 (SCOPUS).
  6. M.Krishnamoorthi, (2014) ‘Speech Enhancement Using Modified Magnitude Estimation- Based Spectral Subtraction Algorithm’, Arabian Journal for Sciences and Engineering, Volume 39, no.32, pp.8965-8978, Springer Publishers ISSN 1319-8025 (SCOPUS & WEB OF SCIENCE).
  7. M.Krishnamoorthi,(2015) ‘Noise Tracking Algorithm for Speech Enhancement’, Applied Mathematics and Information Sciences, Volume 9, no.2, pp.691-698, Natural Science Publishers ISSN: 1935-0090(SCOPUS).
  8. M.Krishnamoorthi, (2016), ‘Hybrid Clustering using Firefly Optimization Technique and K-Means Algorithm’, Asian Journal of Research in Social Sciences and Humanities, Volume 6, No. 8, pp. 948-959.
  9. M.Krishnamoorthi, (2016) ‘Hybrid Clustering Using Firefly Optimization and Fuzzy C-Means Algorithm’, Circuits and Systems, Vol.7 No.9, PP 2339-2348. (WEB OF SCIENCE)
  10. M.Krishnamoorthi (2016) ‘Performance Analysis of Data Clustering Algorithms Using Various Effectiveness Measures’, The International Arab Journal of Information Technology, Volume 13, No.6B, pp.1084-1091. (SCI indexed)
  11. M.Krishnamoorthi, (2017), ‘Feature Clustering and Labelling Technique for Continuous Speech Recognition’, International Journal of Advance Research in Science and Engineering, Volume 6, No.12.
  12. M.Krishnamoorthi, (2017), ‘Delta Mel Frequency Cepstral Coefficient based Feature Extraction Algorithm for Continuous Tamil Speech Recognition’ CiiT International Journal of Digital Signal Processing, Volume 9, No 9, PP 177 – 184.
  13. M.Krishnamoorthi, (2018) ‘Continuous Speech Recognition Using Gaussian mixture model’, International Journal of Pure and Applied Mathematics, Volume. 119, No. 16b, pp 4513-4518 (SCOPUS).
  14. M.Krishnamoorthi, (2018), ‘Optimization of radiation pattern in planar array using firefly algorithm for mobile edge computing’, International Journal of Pure and Applied Mathematics, Volume 119, No. 18, pp 2631-2638 (SCOPUS).
  15. M.Krishnamoorthi, (2018), ‘Modified Least Mean Square Adaptive Noise Reduction algorithm for Tamil Speech Signal under Noisy Environments’, International Journal of Pure and Applied Mathematics, Volume. 119, No. 16b, pp 4461-4466 (SCOPUS).
  16. M.Krishnamoorthi, (2018), ‘Design of Compact Antenna for Ultra-Wide Band Applications’, International Journal of Engineering and Advanced Technology, Volume 8, Issue-2S, pp 54-57 (SCOPUS).
  17. M.Krishnamoorthi, (2018), ‘A Survey on Contact and Non-Contact methods of photo plethysmography’, International Journal of Engineering and Advanced Technology, Volume 8, Issue-2S, pp 378-383 (SCOPUS).
  18. M.Krishnamoorthi, (2019), ‘A Comprehensive survey on Virtual Migration techniques in Cloud Computing’, International Journal of Recent Technology and Engineering, Volume. 7, Issue-4S, pp 300-303 (SCOPUS).
  19. M.Krishnamoorthi, (2019), ‘Tweets: Review of Micro-blog based Recommendation Systems (RS) for News Recommendation (NR)’, International Journal of Recent Technology and Engineering, Volume. 7, Issue-4S, pp 444-448 (SCOPUS).
  20. M.Krishnamoorthi, (2019), ‘A Survey on Ultrasound Image Segmentation Algorithm for Detection of Female Pelvic Masses’, International Journal of Recent Technology and Engineering, Volume. 7, Issue-4S, pp 23-25 (SCOPUS).
  21. M.Krishnamoorthi, (2019), ‘Continuous Tamil Speech Recognition Technique under Non Stationary Noisy Environments’, International Journal of Speech Technology, Springer Publishers, Vol. 22, No. 1, pp 47 - 58 (SCOPUS/Web of Science).
  22. M.Krishnamoorthi, (2020), ‘Determining the Sentiments of Bi-lingual Tweets Using Convolutional Neural Network and Support Vector Machine’, Journal of Advanced Research in Dynamical and Control Systems, Vol. 12, No. 1, pp 80 - 89 (SCOPUS).
  23. M Krishnamoorthi, “Detecting and filtering rumor in social media using news media event”, Concurrency and Computation: Practice and Experience, 2021, volume 33 issue 20 (SCOPUS and Web of Science).
  24. M Krishnamoorthi, (2022) “Soft computing-based ensemble learning model for multi-disease classification of plant leaves”, - Geocarto International. (SCOPUS and Web of Science).
  25. M Krishnamoorthi , (2022) “A novel plant leaf disease detection by adaptive fuzzy C-means clustering with deep neural network”, Journal of Experimental & Theoretical Artificial Intelligence. (SCOPUS and Web of Science).
  26. M Krishnamoorthi , (2022) “Decision Tree with Pearson Correlation-based Recursive Feature Elimination Model for Attack Detection in IoT Environment”, - Information Technology and Control (SCOPUS and Web of Science).
  27. M Krishnamoorthi , (2023) “Detection of stress level based on sweat from Gen-Z students using ANN and GA algorithms”, International Journal of Clinical and Experimental Medicine 16(11):260-274. (Web of Science).
  28. M Krishnamoorthi , (2024) “Hybrid approach of deep feature extraction using BERT– OPCNN & FIAC with customized Bi-LSTM for rumor text classification”, Alexandria Engineering Journal. Vol.90, pp. 65-75 (SCOPUS and Web of Science).
  29. M Krishnamoorthi , (2024) “Modified ensemble machine learning-based plant leaf disease detection model with optimized K-Means clustering”, Network-Computation in Neural Systems. Vol. 37, No. 1, pp. 161-205 (Web of Science).
  30. M Krishnamoorthi , (2025) “Optimizing Stock Predictions With Bi-Directional LSTM and Levy Flight Fuzzy Social Spider Optimization (LFFSSO): LSTM Model”, International Journal on Semantic Web and Information Systems, Vol. 21, No. 1, pp. 1-25. (SCOPUS and Web of Science).
  31. M Krishnamoorthi , (2026) “Hybrid Stacked Autoencoder - Based Optimization Framework for Cardiovascular Disease Risk Factor Prediction Using Photoplethysmography Signal Data”, Traitement du Signal, Vol. 43, No. 1, pp. 303-317 (Web of Science)..
  32. M Krishnamoorthi , (2026) “Multiclass Fetal Abnormality Detection Using Ensemble Deep Learning Techniques”, Information Technology and Control, Vol. 55 No.1, pp.204-221 (SCOPUS).

National/International Conferences

  1. M.Krishnamoorthi, “AI-Powered Anonymization for Secure Cloud-Based Medical Data Sharing: A Comprehensive Survey” International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (iConSCEPT), held at National Institute of Technology Puducherry, during 06 – 07 December 2025. (SCOPUS)
  2. M.Krishnamoorthi, “Web-based Plant Leaf Disease Detection and Prescription Module” 3rd International Conference on Advancement in Computation & Computer Technologies, held at Chandigarh University, Gharuan during 17-18 April 2025 . (SCOPUS)
  3. M.Krishnamoorthi, “Early Accurate Identification of Grape leaf Disease Detection using CNN based VGG-19 model”, International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS), held at KPR Institute of Engineering and Technology, Coimbatore during 17-19 April 2024. (SCOPUS)
  4. M.Krishnamoorthi, “Improving Optical Character Recognition(OCR) Accuracy using Multi-Layer Perceptron(MLP) ”, 7th IEEE International Conference on Trends in Electronics and Informatics, held at SCAD College of Engineering and Technology during 11-13 April 2023. (SCOPUS)
  5. M.Krishnamoorthi, “Comparative Analysis of DoS Attack Detection in KDD CUP99 using Machine Learning Classifier Algorithms”, IEEE 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC) held at Hindusthan Institute of Technology Coimbatore during 17-19 Aug. 2022. (SCOPUS)
  6. M.Krishnamoorthi, “Plant diseases detection using an improved CNN model”, IEEE International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) held at St. Joseph’s Institute of Technology, Chennai during 15-16 July 2022 (SCOPUS)
  7. M.Krishnamoorthi, “Virtual Mouse Using YOLO”, IEEE International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) held at St. Joseph’s Institute of Technology, Chennai during 15-16 July 2022. (SCOPUS)
  8. M.Krishnamoorthi, LoRaWAN based early flood alert system using CoAP Protocol, 2nd International Conference on Sustainable Infrastructure with Smart Technology for Energy and Environmental Management, during 24-26 March 2022. (SCOPUS)
  9. M.Krishnamoorthi, “Predictive Analytics for Improving Physician Insights in Health Informatics” in First IEEE Sponsored International Conference on Smart Technologies Communication and Robotics, held at Bannari Amman Institute of Technology, Sathyamangalam during 9 -10 October 2021. (SCOPUS)
  10. M.Krishnamoorthi, “Maize Leaf Diseases Identification using Data Augmentation and Convolutional Neural Network“ in 2nd International conference on Smart Electronics and Communication, held at Kongunadu College of Engineering and Technology, Trichy during 07- 09 October 2021. (SCOPUS)
  11. M.Krishnamoorthi, “Edge Computing Technology: State-of-the-Art and Challenges in an Internet of Things” in International Virtual Conference on Artificial Intelligence for Smart Community jointly organised by Universiti Teknologi PETRONAS(UTP), Malaysia and Dr. N.G.P. Institute of Technology, Coimbatore during 17 –18 December 2020. (SCOPUS)
  12. M.Krishnamoorthi, “HCShare: Blockchain Technology in Healthcare System” in International Virtual Conference on Artificial Intelligence for Smart Community jointly organised by Universiti Teknologi PETRONAS(UTP), Malaysia and Dr. N.G.P. Institute of Technology, Coimbatore during 17 –18 December 2020. (SCOPUS)
  13. M.Krishnamoorthi, “Effective hate Speech Detection using Artificial Neural Network ensemble with enhanced weight approach” in International Virtual Conference on Artificial Intelligence & Smart Computing (Springer) held at Bannari Amman Institute of Technology, Sathyamangalam during 15 – 17 October 2020. (SCOPUS)
  14. M.Krishnamoorthi, “A Scrutiny of Blockchain Technology and its Utilization” in International Virtual Conference on Artificial Intelligence & Smart Computing (Springer) held at Bannari Amman Institute of Technology, Sathyamangalam during 15 – 17 October 2020. (SCOPUS)
  15. M.Krishnamoorthi, “A Comparative survey on security challenges and techniques in Big Data” in IEEE International conference on Computer, Communication and Informatics held at Sri Sakthi Institute of Engineering and Technology, Coimbatore, during 22 - 24 January 2020 (SCOPUS & WEB OF SCIENCE).
  16. M.Krishnamoorthi, “Swarm Intelligence based feature clustering for continuous speech recognition under noisy environments”, in 3rd IEEE International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC-2019) organised by RVS Technical Campus, Coimbatore during 25-26 September 2019 (SCOPUS).
  17. M.Krishnamoorthi, “Fuzzy C-Means Clustering Technique for Continuous Tamil Speech Recognition under Noisy Environments", in 3rd IEEE International Conference on Communication and Electronics Systems (ICCES 2018), PPG Institute of Technology, Coimbatore, during 15 -16 October 2018 (SCOPUS).
  18. M.Krishnamoorthi, “IoT Security Architecture - Survey", in International Conference on Cyber Physical Systems for Nest Generation Computing, Department CSE/IT - Bannari Amman Institute of Technology, Sathyamangalam, 1 - 3 March 2018.
  19. M.Krishnamoorthi, “Monitoring Multiple Biomedical parameter to Automate Anesthesia Injector using FPGA” in 2nd IEEE International Conference on Computer, Communication, and Signal Processing held at Sri Sivasubramaniya Nadar College of Engineering, Chennai during 22 – 23 February 2018 (SCOPUS & WEB OF SCIENCE).
  20. M.Krishnamoorthi, “Feature Clustering and Labelling Technique for Continuous Speech Recognition", 9th International Conference on Recent Development in Engineering Science, Humanities and Management, Pune, on 23rd December 2017.
  21. M.Krishnamoorthi, “A scalable approach for fingerprint matching system based on minutiae extraction” in the proceeding of 2nd IEEE International Conference on Innovations in Information, Embedded and Communication Systems, conducted by, Karpagam College of Engineering Coimbatore on 12th August 2015 (SCOPUS & WEB OF SCIENCE).
  22. M.Krishnamoorthi, “A survey based on Finger print Matching System” International Conference on Innovations in Communications and Computer Engineering held at Coimbatore Institute of Technology, Coimbatore on 15th Feb 2015.
  23. M.Krishnamoorthi, “A survey on various allocation policies in Cloud Computing Environment” International Conference on Innovations in Communications and Computer Engineering held at Coimbatore Institute of Technology, Coimbatore on 15th Feb 2015.
  24. M.Krishnamoorthi, “BHOHS: A two stage novel Algorithm for data Clustering” International Conference on Intelligent Computing Applications held at, Bharathiar University, Coimbatore during 6 – 7 March 2014 (SCOPUS & WEB OF SCIENCE).
  25. M.Krishnamoorthi, “An Comparative Analysis of Enhanced Artificial Bee Colony Algorithms for Data Clustering” in IEEE International conference on Computer, Communication and Informatics held at Sri Sakthi Institute of Engineering and Technology, Coimbatore, during 04 - 06 January 2013 (SCOPUS & WEB OF SCIENCE).
  26. M.Krishnamoorthi, “Automatic Evaluation of cluster in unlabeled Data sets”, International Conference on Information and Network Technology held at Chennai, on 29 - 30 April 2011 (WEB OF SCIENCE).
  27. [
  28. NATIONAL CONFERENCES
  29. M.Krishnamoorthi, “Internet of Things Architecture for smart city- survey ", Cutting edge technologies in power conversion and Industrial Drives, Bannari Amman Institute of Technology, Sathyamangalam, 29th November 2019.
  30. M.Krishnamoorthi, "Optimal Feature Clustering Technique for Continuous Speech Recognition", 4th National Conference on Recent Trends in Ubiquitous Computing, Bannari Amman Institute of Technology, Sathyamangalam, during 8th -9th December 2017.
  31. M.Krishnamoorthi, “Placement of Multiple controller in Software defined network” in National conference on Trends in Engineering Applications and Management held at Velalar college of Engineering and Technology on 26th March 2016.
  32. M.Krishnamoorthi, “Placement of Multiple controller in Software defined network” in National conference on Advancements in Computing Methodologies held at Anna University, Coimbatore during 14th - 15th March 2016.
  33. M.Krishnamoorthi, “An Enhanced Artificial Bee colony clustering algorithm for optimization Problems” in 4th National conference on “Recent trends in information and intelligent system held at Velalar college of Engineering and Technology, Erode on 17th March 2012.
  34. M.Krishnamoorthi, “Automatically Extracting the number of clusters in unlabelled Datasets” in 5th National Conference on Emerging trends in Computer Science and Engineering held at K. S. Rangasamy College of Technology, Tiruchengode on 11th February 2011.
  35. M.Krishnamoorthi, “Classification of cancer based on intelligent systems with microarray data” , 3rd National Conference on Cutting edge Technologies in power conversion and Industrial drives held at Bannari Amman Institute of Technology, Sathyamangalam during 16th - 17th February 2007.

Patents

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Patent Title Date Reg. No. Status Level Funding
Smart weighment and centralized payroll reckoning machine for tea plantations 202141007927 Granted National Self

Professional Membership Body

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Membership Number Membership Body Year Duration
M-1762707 IE(I) 2022 Life member
108565 ISTE 2016 Life Member

Ph.D Research Guidance

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Scholar Name Reg. No. Reg. Date Thesis / Research Title Status
Suganya N 25244691244 02.01.2025 Provisional Registered
Gouthami P 25244691241 02.01.2025 Provision Confirmation Obtained
Prema P 25234691247 02.01.2025 Provisional Registered
Uma J 24244697466 01.07.2024 Provision Confirmation Obtained
Vijaya Kumar T 22144691337 02.01.2022 Certain Investigations on Multimodal Data driven Patient Emotion Recognition Framework using Optimized Deep Learning Methods Synopsis Submitted
Ramya R 20234691120 02.01.2020 Artificial Intelligence-Based Fetal Health Classification Using Cardiotocography Data Synopsis Submitted
Vijayaganth V 19144697199 02.01.2019 CERTAIN INVESTIGATIONS ON PLANT LEAF DISEASE DETECTION USING OPTIMIZED DEEP LEARNING TECHNIQUES Completed
Padmashree A 18244697273 01.07.2018 CERTAIN INVESTIGATION ON ATTACK DETECTION IN IOT NETWORKS USING DEEP LEARNING TECHNIQUES Completed
Nithya K 18234691274 01.02.2018 CERTAIN INVESTIGATION FOR TEXT CLASSIFICATION ON FAKE NEWS DATA USING OPTIMIZED DEEP LEARNING TECHNIQUES Completed
Deepa R 18237691184 02.01.2018 Certain Investigation on Ensemble Feature Selection and Ensemble Deep Learning for Predicting Stock Market Trends Using Tweets and Smart Environment Data Report Received
Jeya Daisy I 17243691150 01.07.2017 INVESTIGATION ON SWEAT BIOMARKER FOR ANALYZING PERFORMANCE AND CLASSIFYING STRESS LEVEL IN GENERATION –Z STUDENTS USING ARTIFICIAL NEURAL NETWORK AND GA ALGORITHMS Completed
Deepak Franklin P 17143697119 02.01.2017 Thesis Submitted