OUR FACULTY

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Mr.M.Karthi

Assistant Professor

Staff Name Mr.M.KARTHI
Designation Assistant Professor
Date of Birth 22/11/1991
Educational Qualification M.Tech,(Phd)
Specialization Information Technology
Years of Experience 8 Years 5 Months
Area of Research
  • Data science
  • Deep Learning
No of Student’s Project Guided
  • UG – 27
Publication Details Books
  • Sudha Rani S , Karthi M & Rajkumar Y, ” Compiler Design “, (2018), I.K. International Publishing House Pvt. Ltd, India. ISBN: 978938590965

  • Conference
    • Subhashini, G., Karthi, M., Pandi, A., Gomathi, S., & Sivapriya, J. (2023, March). Security System to Analyze, Recognize and Alert in Real Time using AI-Models. In 2023 Second International Conference on Electronics and Renewable Systems (ICEARS) (pp. 754-760). IEEE.
    • Subhashini, G., Devi, A., Infantia, C. N., Karthi, M., Raghul, G., & Shankar, S. A. (2023, February). U-NET and RCNN Ensembled Satellite Object Detection and Segmentation. In 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) (pp. 836-844). IEEE.
    • Priscilla, R., Siva, T., Karthi, M., Vijayakumar, K., & Gangadharan, R. (2023, January). Baseline Modeling for Early Prediction of Loan Approval System. In 2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF) (pp. 1-7). IEEE.
    • Karthi, M., Priscilla, R., Subhashini, G., Abijith, G. R., & Vinisha, J. (2023, January). Forest Fire Detection: A Comparative Analysis of Deep Learning Algorithms. In 2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF) (pp. 1-6). IEEE.
    • Karthi, M., Niroshini Infantia, C., Subhashini, G., & Shyam Sundar, V. (2021, December). Comparative Studies with Random Datasets Using Enhanced Faster R-CNN, Mask R-CNN, and Single Shot Detector. In International Virtual Conference on Industry (pp. 221-232). Singapore: Springer Nature Singapore.
    • Presented a research paper titled “Evolution of YOLO-V5 Algorithm for Object Detection: Automated Detection of Library Books and Performance validation of Dataset.” The International Conference on Computing, Intelligent Communication, and Smart Electrical systems, 2021 in Chennai, India.
    • M. Karthi, R.Priscilla and Madhumitha.T, “NOVEL MOTION PREDICTION TECHNIQUE USING PCA” National E-Conference On Advanced Trends In Computer Science And Engineering “NCATCSE 2K21”, Dr.Sivanthi Aditanar College of Engineering,31 st March,2021.
    • Presented a research paper titled as “ A Novel content detection approach for handwritten English letters”, 9 th world Engineering Education Forum 2019,Nov-2019,Chennai.
    • Presented a research paper titled as “Detection of Copy Right Infringement of Audio in On-Demand Systems Using Audio Fingerprinting”, 2nd World Summit on Advances in Science, Engineering, and Technology (IndianaSummit 2019), Indianapolis, USA.
    • Presented a research paper titled as “The patrons for Predicting veracity of rail mishaps using ID3 algorithm” 6 th WCASET world conference, 2018 in Goa, India.
    • Presented a research paper titled as “A Novel Technique for Multi-Class Ordinal Regression- APDC “ Global Congress On Computing and Media Technologies(GCMT)-2015 in Sathyabama university,chennai.
    • Published research paper titled as ”A comparative study of detecting the congenital Heart disease with decision tree “ IEEE International Conference on Information, Innovation in Computing Technology -2015.
    • Presented a research paper titled as,”A Comparative study of Detecting Congestive Heart Failure-Automatic Classifier” IEEE International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT-2014).
     
    Journals
    • Karthi, M., Jothi, S., & Chandrasekar, A. (2023). The self-adaptive dwarf mongoose optimized bidirectional network approach for enhanced recognition of overlapped English cursive characters. Signal, Image and Video Processing, 1-9.
    • K. . M and R. G, “Fluoroscopic Imaging Automation through Linear Regression and Diagnosing through Convolutional Neural Networks”, CTBP, vol. 17, no. 3B, pp. 1271–1277, Oct. 2023.
    • Mrs.Niroshini Infantia ,Mr.M.Karthi, “An Overview of Blockchain Technology for Agro Transaction”, Turkish Journal of Computer and Mathematics Education (TURCOMAT),May,Vol.12 No.12 (2021), 601-606
    • Mr. Karthi M, Dr. Priscilla R, Jafer KS.A Novel Content Detection Approach for Handwritten English letters. Procedia Computer Science. 2020 Jan 1;172:1016-25.
    • Dr. Priscilla Rajadurai, Mr Karthi Muthu, Mrs Niroshini Siddharth, Mrs Neelambary Venkatesan and Mr. Lokeshwar Kumar Tabjula,” Detection Of Copy Right Infringement Of Audio in On-Demand Systems Using Audio Fingerprinting”, International Journal of Engineering and Advanced Technology (IJEAT),jan 2020.
    • Karthi, M., R. Priscilla, and E. Benila, “The patrons for anticipating veracity of rail mishaps using text mining and ID3 algorithm” International Journal of Pure and Applied Mathematics(2018) 119(15):1753-1759.
    • R. Priscilla., and Karthi, M., “Usage of Bioinformatic data for remote authentication in wireless networks” ICTACT Journal on Image and Video Processing, August 2018, Volume: 09, Issue: 01.
    • Karthi, M., L. Mary Gladence, and J. Joshua. "A Comparative Study of Detecting the Congenital Heart Disease Using Tree Algorithms." Research Journal of Pharmaceutical Biological and Chemical Sciences 7.4 (2016): 78-84.
    • G. Usha, S. Kannimuthu, M. Karthi and J. Joshua, “An Analytical Approach to Detect and Isolate Attacks in Mobile Adhoc Networks Using Cross Layer Feedback”. Asian Journal of Information Technology, (2016), 15: 694-702.
    • Usha, G., S. Kannimuthu, Karthi M and Gayathri Devi. "Survey of Single and Cross Layer Security in MANET." Indian Journal of Science and Technology 9.41 (2016).
    • Glandence, L. Mary, M. Karthi, and V. Maria Anu. "A Statistical Comparison of Logistic Regression and different Bayes Classification methods for machine Learning." ARPN Journal of Engineering and Applied Sciences 10.14 (2015): 5947-5953.
    • Gladence, L. Mary, M. Karthi, and T. Ravi. "A Novel Technique for Multi-Class Ordinal Regression- APDC." Indian Journal of Science and Technology 9.10 (2016).
    • Gladence, L. Mary, T. Ravi, and M. Karthi. "Heart disease prediction using naive bayes classifier-sequential pattern mining." International Journal of Applied Engineering Research 9.21 (2014): 8593-602.
    • Gladence, L. Mary, T. Ravi, and M. Karthi. "An enhanced method for detecting congestive heart failure- Automatic Classifier." Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on. IEEE, 2014.
     
Professional Membership One of the member in International Association of Engineers (IAENG).
Notable achievement
  • “Wipro Certified Java Faculty” from 2023.
  • Certified “AWS Academy Educator” from 2021.
  • Received "Best Researcher Award" an International Research Award on New Science Inventions,2020
  • Honorary Rosalind Member of London Journals Press [membership ID #QC56696]
  • Act as Mentor in “SMART INDIA HACKATHON(SIH)”,2019 and Won Cash Prize of Rs50,000
  • Secured “Best Research Paper Award” titled as A Novel Technique for Multi-Class Ordinal Regression-APDC in Global Congress on Computing and Media Technologies (GCMT)-2015 in Sathyabama university, Chennai, India.
  • Awarded “Gold Medal” for my Academic Excellence in M.Tech at Sathyabama University, Chennai in 2015.
Reviewer
  • Reviewer of “Intelligent Data Analysis”, IOS Press from April 2023. [ WoS, Impact Factor - 1.32]
  • 5th International Conference on Machine Learning and Intelligent Systems (MLIS2023, August 14th-17th, 2023), organized by Singidunum University, Belgrade, Serbia
  • Editorial Board Members of “Electrical and Computer Engineering Studies” Journal from Feb,2023.
  • “2021 and 2022 International Symposium on Biomedical Engineering and Computational Biology (BECB 2021) organized by Nanchang Hangkong University (Nanchang), China”.
  • 2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), IEEE Conference, India.
  • 4th International Conference on Machine Learning and Intelligent Systems (MLIS2022, Nov. 8th-11th, 2022, Seoul, Republic of Korea)
  • 8th International Conference on Fuzzy Systems and Data Mining (FSDM 2022), November 4-7, 2022 in Xiamen, China
  • 3rd International Conference on Modern Management based on Big Data (MMBD2022), August 15th-18th, 2022 at Seoul, South Korea.
  • The 2020 International Symposium on Automation, Information and Computing (ISAIC 2020), supported by Beijing Jiaotong University (BJTU) 2020.
  • American journal of Artificial Intelligence from December 7,2021 to December 7,2023