KOTEESWARAN S

@saec.ac.in

Professor, Department of Computer Science and Engineering (AI and ML)
S.A. Engineering College (Autonomous)

KOTEESWARAN S


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https://researchid.co/koteeswaran
Dr. S. Koteeswaran, B.Tech., M.E., Ph.D. currently working as Professor in the Department of Computer Science and Engineering (AI&ML), S.A. Engineering College, Chennai-600077, TamilNadu, India. He is having 15 years of teaching experience and published more than 50 research articles in various peer reviewed Journals. He is author for two text books and two edited books for Computer Science & Engineering Programme. His research interests include Artificial Intelligence, Machine Learning, Deep Learning, Big Data and Analytics and Internet of Things. He has presented several papers in conference proceedings. He is a reviewer for more than a dozen journals and also organized more than 25 various events such as National and International Conferences, Faculty Development Programs, Workshops, Seminars, National Level Paper Contests, Quiz programmes, 24 Hours IEEE Xtreme Programming Competition and 36 hours Hachathon. He is a Member of ACM, Member of IAEng, Global Member of ISOC.

EDUCATION

 Ph.D. (Computer Science and Engineering)
Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology,
Chennai, 2013.

 M.E. (Software Engineering)
Vel Tech Engineering College, Anna University, Chennai, 2009.

 B.Tech. (Information Technology)
Amrita Institute of Technology and Science, Anna University, Chennai, 2006.

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Computer Science, Computer Science Applications, Software
63

Scopus Publications

545

Scholar Citations

14

Scholar h-index

17

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • An efficient patient’s response predicting system using multi-scale dilated ensemble network framework with optimization strategy
    N Manogaran, N Panabakam, D Selvaraj, K Seerangan, F Khan, ...
    Scientific Reports 15 (1), 15713 , 2025
    2025
    Citations: 1
  • IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks
    SCM Sundararajan, YB Shankar, SP Selvam, N Manogaran, ...
    Scientific Reports 15 (1), 1925 , 2025
    2025
    Citations: 27
  • A novel energy-efficiency framework for UAV-assisted networks using adaptive deep reinforcement learning
    K Seerangan, M Nandagopal, T Govindaraju, N Manogaran, B Balusamy, ...
    Scientific Reports 14 (1), 22188 , 2024
    2024
    Citations: 21
  • Integrating meta-heuristic with named data networking for secure edge computing in IoT enabled healthcare monitoring system
    N Manogaran, M Nandagopal, NE Abi, K Seerangan, B Balusamy, ...
    Scientific Reports 14 (1), 21532 , 2024
    2024
    Citations: 12
  • ERABiLNet: enhanced residual attention with bidirectional long short-term memory
    K Seerangan, M Nandagopal, RR Nair, S Periyasamy, RH Jhaveri, ...
    Scientific Reports 14 (1), 20622 , 2024
    2024
    Citations: 3
  • Implementing heuristic-based multiscale depth-wise separable adaptive temporal convolutional network for ambient air quality prediction using real time data
    RA Sundaramoorthy, AD Ananth, K Seerangan, M Nandagopal, ...
    Scientific Reports 14 (1), 18437 , 2024
    2024
    Citations: 9
  • A Deep Auto-Optimized Collaborative Learning (DACL) model for disease prognosis using AI-IoMT systems
    M Nandagopal, K Seerangan, T Govindaraju, NE Abi, B Balusamy, ...
    Scientific Reports 14 (1), 10280 , 2024
    2024
    Citations: 21
  • Leather Image Quality Classification and Defect Detection System using Mask Region-based Convolution Neural Network Model.
    AB Abdullah, M Jawahar, N Manogaran, G Subbiah, K Seeranagan, ...
    International Journal of Advanced Computer Science & Applications 15 (4) , 2024
    2024
    Citations: 6
  • Detecting the Possession of Harmful Weapons by Humans Through Surveillance System
    N Manogaran, S Annamalai, M Nandagopal, K Seerangan, B Balusamy, ...
    SSRG INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING … , 2024
    2024
  • RETRACTED ARTICLE: A supervised learning approach for the influence of comorbidities in the analysis of COVID-19 mortality in Tamil Nadu
    S Koteeswaran, R Suganya, C Surianarayanan, EA Neeba, A Suresh, ...
    Soft Computing, 1-1 , 2023
    2023
    Citations: 1
  • Streaming Analytics: Concepts, Architectures, Platforms, Use Cases and Applications
    P Raj, C Surianarayanan, K Seerangan, G Ghinea
    IET , 2022
    2022
    Citations: 1
  • Prediction of heart conditions by consensus K -nearest neighbor algorithm and convolution neural network
    SF Waris, S Koteeswaran
    International Journal of Modeling, Simulation, and Scientific Computing 13 … , 2022
    2022
    Citations: 2
  • Coronary Heart Artery Problem Detection and Evaluation employing Deep Neural Network
    Waris, S.F. and Koteeswaran, S.
    NeuroQuantology 20 (08), 271-280 , 2022
    2022
  • An Investigation on Disease Diagnosis and Prediction by Using Modified KMean clustering and Combined CNN and ELM Classification Techniques
    SF Waris, S Koteeswaran
    International Journal of Communication Networks and Information Security 14 … , 2022
    2022
    Citations: 2
  • WITHDRAWN: Heart disease early prediction using a novel machine learning method called improved K-means neighbor classifier in python
    SF Waris, S Koteeswaran
    Materials today: proceedings , 2021
    2021
    Citations: 42
  • Closed-Loop Irrigation Decision Support System: An Internet of Things Based Closed Loop Irrigation Decision Support System for Precision Agriculture Using Machine Learning
    P Suresh, S Koteeswaran, RH Aswathy
    Journal of Computational and Theoretical Nanoscience 18 (3), 942-948 , 2021
    2021
    Citations: 2
  • A survey on heart disease early prediction methodologies
    S Waris, S Koteeswaran
    Turkish Journal of Computer and Mathematics Education Vol 12 (9), 2023-2037 , 2021
    2021
    Citations: 4
  • Early Prediction of Heart Conditions by K-Means Consensus Clustering and Convolution Neural Network
    SF Waris, S Koteeswaran
    Annals of the Romanian Society for Cell Biology 25 (3), 6623-6640 , 2021
    2021
  • Sentiment polarity classification using conjure of genetic algorithm and differential evolution methods for optimized feature selection
    J Jotheeswaran, S Koteeswaran
    Recent Advances in Computer Science and Communications (Formerly: Recent … , 2020
    2020
    Citations: 4
  • Cloud resource scheduling optimal hypervisor (CRSOH) for dynamic cloud computing environment
    N Malarvizhi, GS Priyatharsini, S Koteeswaran
    Wireless Personal Communications 115 (1), 27-42 , 2020
    2020
    Citations: 14

MOST CITED SCHOLAR PUBLICATIONS

  • Implementation of cloud based Electronic Health Record (EHR) for Indian healthcare needs
    R Kavitha, E Kannan, S Kotteswaran
    Indian Journal of Science and Technology 9 (3), 1-5 , 2016
    2016.0
    Citations: 43
  • WITHDRAWN: Heart disease early prediction using a novel machine learning method called improved K-means neighbor classifier in python
    SF Waris, S Koteeswaran
    Materials today: proceedings , 2021
    2021.0
    Citations: 42
  • Identification and classification of best spreader in the domain of interest over the social networks
    AN Arularasan, A Suresh, K Seerangan
    Cluster Computing 22, 4035-4045 , 2019
    2019.0
    Citations: 41
  • Data mining application on aviation accident data for predicting topmost causes for accidents
    S Koteeswaran, N Malarvizhi, E Kannan, S Sasikala, S Geetha
    Cluster computing 22 (Suppl 5), 11379-11399 , 2019
    2019.0
    Citations: 31
  • Decision tree based feature selection and multilayer perceptron for sentiment analysis
    J Jotheeswaran, S Koteeswaran
    Journal of Engineering and Applied Sciences 10 (14), 5883-5894 , 2015
    2015.0
    Citations: 28
  • IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks
    SCM Sundararajan, YB Shankar, SP Selvam, N Manogaran, ...
    Scientific Reports 15 (1), 1925 , 2025
    2025.0
    Citations: 27
  • A review on clustering and outlier analysis techniques in datamining
    S Koteeswaran, P Visu, J Janet
    American journal of applied sciences 9 (2), 254 , 2012
    2012.0
    Citations: 26
  • Feature selection using random forest method for sentiment analysis
    J Jotheeswaran, S Koteeswaran
    Indian Journal of Science and Technology 9 (3), 1-7 , 2016
    2016.0
    Citations: 22
  • A novel energy-efficiency framework for UAV-assisted networks using adaptive deep reinforcement learning
    K Seerangan, M Nandagopal, T Govindaraju, N Manogaran, B Balusamy, ...
    Scientific Reports 14 (1), 22188 , 2024
    2024.0
    Citations: 21
  • A Deep Auto-Optimized Collaborative Learning (DACL) model for disease prognosis using AI-IoMT systems
    M Nandagopal, K Seerangan, T Govindaraju, NE Abi, B Balusamy, ...
    Scientific Reports 14 (1), 10280 , 2024
    2024.0
    Citations: 21
  • Artificial bee colony based energy aware and energy efficient routing protocol
    P Visu, S Koteeswaran, J Janet
    Journal of Computer Science 8 (2), 227 , 2012
    2012.0
    Citations: 17
  • An effective novel IOT framework for water irrigation system in smart precision agriculture
    P Suresh, S Koteeswaran
    International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
    2019.0
    Citations: 16
  • Cloud resource scheduling optimal hypervisor (CRSOH) for dynamic cloud computing environment
    N Malarvizhi, GS Priyatharsini, S Koteeswaran
    Wireless Personal Communications 115 (1), 27-42 , 2020
    2020.0
    Citations: 14
  • Deep learning-based decision-making with WoT for smart city development
    S Vimal, V Jeyabalaraja, P Subbulakshmi, A Suresh, M Kaliappan, ...
    Smart innovation of web of things, 51-62 , 2020
    2020.0
    Citations: 14
  • Sentiment analysis: A survey of current research and techniques
    DSK Jeevanandam Jotheeswaran
    International Journal of Innovative Research in Computer sand Communication … , 2015
    2015.0
    Citations: 14
  • Smart Eye Testing, Advances in Intelligent Systems and Computing, 2021, ISCDA 2020, 1312 AISC
    S Hrushikesava Raju, LR Burra, SF Waris, S Kavitha, S Dorababu
    Citations: 13
  • Integrating meta-heuristic with named data networking for secure edge computing in IoT enabled healthcare monitoring system
    N Manogaran, M Nandagopal, NE Abi, K Seerangan, B Balusamy, ...
    Scientific Reports 14 (1), 21532 , 2024
    2024.0
    Citations: 12
  • Implementing heuristic-based multiscale depth-wise separable adaptive temporal convolutional network for ambient air quality prediction using real time data
    RA Sundaramoorthy, AD Ananth, K Seerangan, M Nandagopal, ...
    Scientific Reports 14 (1), 18437 , 2024
    2024.0
    Citations: 9
  • Swarm-based clustering algorithm for efficient web blog and data classification
    EA Neeba, S Koteeswaran, N Malarvizhi
    The Journal of Supercomputing 76 (6), 3949-3962 , 2020
    2020.0
    Citations: 9
  • Optimal energy management in wireless adhoc network using Artificial Bee Colony based routing protocol
    P Visu, J Janet, E Kannan, S Koteeswaran
    European Journal of Scientific Research 74 (2), 301-307 , 2012
    2012.0
    Citations: 9