SANTHOSH KUMAR C

@srmist.edu.in

Assistant Professor CSE
SRM Institute of Science and Technology,Ramapuram,Chennai,Tamilnadu

SANTHOSH KUMAR C


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https://researchid.co/santhosh1988
C.Santhosh kumar is currently a Researcher , at PMC Tech , is having 10 years of Experience in Teaching. He graduated B.E. from SRM Easwari Engineering College , Chennai , PG Degree from Anna University Regional centre , Coimbatore .Presently he is pursuing his Ph.D. at Anna University, Chennai. His area of interest includes Soft Computing, Machine learning, Semantic web. He published a book"Problem solving and python programming" at Anuradha Publications and "Theory of Computation" at Bonfring publications . He is passionate in learning Soft Computing Techniques . He presented and published 17 research papers in International and National conferences. He is a Professional member of Association of Computing Machinery, Soft Computing Research Society and CSI. He is one of the Computer Science related Tamil Online Tutor under the youtube channel name santhosh kumar Study circle . His channel has 670 subscribers and 1,67,400 views.

EDUCATION

2017-2024 Doctor of Philosophy (I&C),Pursuing Ph.D. at Anna University, Chennai .
2010-2012 Master of Engineering ,M.E.(CSE), Anna University Regional Centre Coimbatore, Anna University Chennai , 2012;First Class.
2006-2010 Bachelor of Engineering ,B.E.(CSE), Easwari Engineering College Chennai, Anna University Chennai , 2010;First Class.

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence
14

Scopus Publications

32

Scholar Citations

3

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Hybrid Bio-Inspired Routing Algorithms for Scalable and Adaptive Wireless Ad Hoc Networks
    National Journal of Antennas and Propagation, 2025
  • Design and Implementation of Artificial Intelligence Models Using Deep Neural Networks on Reconfigurable VLSI Systems for Autonomous Driving
    Journal of VLSI Circuits and Systems, 2025
  • Robust Security Strategies for Smart Grid Networks: Integration of AI, Blockchain, and Resource-Efficient Techniques
    C. Santhosh Kumar, S. Nancy Lima Christy, S. Sindhuja, K. Madhan
    Secure Energy Optimization Leveraging Internet of Things and Artificial Intelligence for Enhanced Efficiency, 2025
    This paper dives into ways to keep communication networks in smart grids safe. With cyber threats on the rise, there's a huge need for strong protection. So, we suggest a thorough method that mixes advanced encryption tricks, AI-powered intrusion detection systems (IDPS), and lightweight authentication steps. Our plan involves creating a cool new AI-driven IDPS. This fancy system spotted issues 35% better than older stuff and cut down false alarms by 20%. Also, we put in place a blockchain-based solution for securing data transactions. This added a big boost to data integrity and security by 40% compared to the old ways. We are emphasizing how important good algorithms are since our work showed a 25% drop in performance slowdowns caused by security stuff. We also created a standard framework for smart grid safety. This helps ensure steady and effective protection across different systems. The results show that these combined methods really toughen up smart grid networks. They offer strong defenses against cyberattacks while making sure power distribution stays reliable. Looking ahead, we will work on improving these techniques and exploring new tech advances to tackle changing security challenges in the smart grid field.
  • Real-Time Multi-Modal Sign Language Recognition and Emotion Interpretation System
    Venkatesh S, Vamsi V, Jerome Reason, B Narayin Prashant, Santhosh Kumar C, A. Umamageswari
    2025 International Conference on Sensors and Related Networks Sennet 2025 Special Focus on Digital Healthcare 64220, 2025
    This study presents a real-time, multi-modal system that combines sign language gesture recognition with facial emotion analysis to improve accessibility in communication. Departing from conventional approaches that primarily address gesture interpretation, this system integrates emotional context to deliver more comprehensive and meaningful translations. Built using open-source tools such as TensorFlow, MediaPipe, OpenCV, and managed via Miniconda, the model achieves efficient performance while remaining lightweight and platform-agnostic. It leverages live webcam feeds, employing convolutional neural networks (CNNs) for gesture detection and facial landmark-based techniques for emotion classification. Designed with web compatibility in mind, the system can be deployed as a browser plugin or Chrome extension, enabling smooth integration into online environments. Experimental results demonstrate reliable accuracy and low processing latency, underscoring the system's viability for real-time applications. This work offers a scalable, user-friendly assistive technology aimed at reducing communication barriers for individuals who are deaf or hard of hearing.
  • IoT and cloud computing-based automated epileptic seizure detection using optimized Siamese convolutional sparse autoencoder network
    M. Ramkumar, S. Syed Jamaesha, M. S. Gowtham, C. Santhosh Kumar
    Signal Image and Video Processing, 2024
  • Deficiencies Identification and Detection in Grape Plant Leaves Using LSTM and CNN Model
    Priyaradhikadevi T, Santhosh Kumar C, Srivani A, Palanivel N, Madhan K, Kavitha K
    2024 International Conference on System Computation Automation and Networking Icscan 2024, 2024
    To address mineral shortages in soils, modern fertilization methods identify nutritional deficits in plant foliage. To formulate a fertilization plan that delivers essential micronutrients without excessive production of others, it is crucial to ascertain the requisite quantities of vitamins and minerals. Nutritional inadequacies in agriculture are signaled by the leaves of plants. Physical examination of these leaves from the plant's morphological components provides sufficient information to determine nutritional deficiencies. The main aim of this study was to ascertain nutritional deficits in grapevine leaves. This research use Convolutional Neural Networks (CNNs) for model training. By inputting the model's output into an LSTM, we can categorize grape plant leaf images as healthy or exhibiting deficiencies in nitrogen, iron, phosphorus, manganese, potassium, zinc, calcium, boron, magnesium, or sulfur. Accuracy evaluates the model's efficacy. The data analysis indicated that the proposed model achieved an accuracy rate of 98.6 percent. The results indicate that convolution neural networks (CNNs) may be effective in detecting nutritional deficiencies in grape plant leaves.
  • Enhanced QR CODE Scanning and Blockchain Technology for Drug Packaging System
    Palanivel N, Esaiarasi. P, Madhan K, Sivashankar P T, Santhosh Kumar C, Sarath Kumar R
    2024 International Conference on System Computation Automation and Networking Icscan 2024, 2024
    Scanning a QR code on pharmaceutical packaging discloses essential information such as the medication's name, batch number, expiration date, and manufacturing date. This connectivity, together with blockchain technology, guarantees both accessibility and security of the data. The objective is to provide an intuitive system that provides straightforward access to pharmaceutical information, facilitating informed decision-making in healthcare. The inclusion of QR codes on drug packaging facilitates access to essential information, including the medicine's name, batch number, expiry date, and manufacturing date. This novel method improves accessibility while also strengthening data security. The incorporation of blockchain technology enhances the system's integrity by utilizing the hashing idea to guarantee data tamper resistance. This increased security mechanism enables users to accurately track the progression of a tablet sheet from its original manufacturing phase to its final distribution stage. This comprehensive solution offers an intuitive platform for accessing medication information while enabling users to make informed healthcare decisions, hence fostering transparency and accountability within the pharmaceutical supply chain. Keywords: Blockchain, Medical Record, QR Code, Dataset.
  • A Improved Training Method for Deep Learning Based Anatomical Classification of X-Rays
    P. Arangarajan, C. Santhosh Kumar, N. Shunmugakarpagam, R. Vijayabhasker, C. Gayathri
    2023 International Conference on System Computation Automation and Networking Icscan 2023, 2023
    Every day, numerous medical images are sent to hospitals and tele-radiology facilities. These comprise a variety of techniques and body parts, such as elbow X-rays, head CT scans, and chest MRIs. These should be given to radiologists who are knowledgeable about the particular anatomy and modality. However, sometimes the scan's technicians enter the incorrect anatomy, employ a different naming scheme, or enter no information at all. There is a need for a vision-based anatomy classification system that can be applied in the absence or corruption of image-related meta-data. Before allocating a case to a radiologist, a manual screen may correctly estimate the anatomy from an X-Ray image. Our proposed solution will provide an automatic anatomy classification with improved training method using deep neural networks. We set out to develop a pre-trained supervised deep learning model that examines X-rays and returns the X-ray's anatomy from a preset set of anatomies in order to solve the given challenge. Here, we also suggest an improved training method to increase classification accuracy. With our present approach, we could accurately map reports and obtain anatomical classification accuracy of more than 95% using X-ray clinical data.
  • Design and Implementation of Solar Powered Smart Irrigation Using IoT
    C. Santhosh Kumar, S. Brindasri, J. Krishnamoorthy, B. Vidhya, G. Saranya, K. Madhan
    Proceedings of 8th IEEE International Conference on Science Technology Engineering and Mathematics Iconstem 2023, 2023
    The farming is one concerning the indispensable assets due to the fact of advent of ingredients but assumes sizeable portion about the economic regulation about each and every United States on America via which include after Today, coast owners hold a snack troubles within agribusiness appropriate according to the fact of non-appearance about downpours after shortage about water. So, between that task, we wish raise external computerized wind law case due to the fact bank lords as like intention maintain time, value then after on Manual inclusion is wished due to the fact the farmland strategies. By construction use over soil humidity sensor degrees involving ground dampness/mugginess may additionally keep checked. At some also is an harmony the trade yet sends signal in conformity over the microcontroller or relying upstairs that the cloud provision framework works. Robotized cloud government litigation uses valves in accordance in accordance with Engines work continue to be robotized effectively by using construction use of regulators yet no assistance over guide intervention among accordance about flirt apparatus ON then OFF.
  • Heart Disease Prediction Using Linear Regression Techniques
    S. Vanakovarayan, C. Santhosh Kumar, A. Raj Ganesh, P. Yogananth, T. Ragupathi, N. Palanivel
    2023 International Conference on System Computation Automation and Networking Icscan 2023, 2023
    The Internet of Things plays a prominent role in the development of health applications. Smart gadgets and wireless sensor networks are used to track patients' various health markers in real time. Every day, the number of heart diseases increases at a rapid rate, which makes it very imperative to predict any such diseases in advance. In order to accurately diagnose heart diseases, researchers are utilizing machine learning algorithms, backed up by electronic health data, to develop smart systems. Based on a variety of medical attributes, we employ Machine Learning algorithms to identify potential heart disease in people. This paper presents an IoT- based prediction system for heart disease diagnosis using Logistic Regression (LR) Random Forest (RF)and Support Vector Machines (SVM) to predict and classify patients with heart disease. Ultimately, the aim of our project is to develop a set of modules for tele-monitoring that doctors can employ to diagnose their patients more accurately. This system uses UCI repository datasets for training and testing. Based on comparisons with existing classifiers, the proposed
  • Energy Efficient Routing Protocol in Manet using Eagle Search Algorithm
    S. Vanarasan, V. Mathavan, N. Shanmugapriya, C. Santhosh Kumar, R. Sarath Kumar, K. Madhan
    Proceedings of IEEE 2023 5th International Conference on Advances in Electronics Computers and Communications Icaecc 2023, 2023
  • Smart Parking and Parking Guidance Using ECNN Algorithm in Convolution Neural Network
    V. Mathavan, P. Sumathi, C. Gayathri, C. Santhosh Kumar, T. Ragupathi, N. Palanivel
    2023 International Conference on System Computation Automation and Networking Icscan 2023, 2023
  • Securing IoT-Based Home Automation Systems Through Blockchain Technology: Implementation
    N. Palanivel, K. Madhan, C. Santhosh Kumar, R. SarathKumar, T. Ragupathi, Deivanai S
    2023 International Conference on System Computation Automation and Networking Icscan 2023, 2023
  • Efficient Composition Algorithm Strategies on Semantic Web Services Using Nature Inspired Approach
    Santhosh Kumar C., R. Vijayabhasker
    Ecs Transactions, 2022

RECENT SCHOLAR PUBLICATIONS

  • Modeling Dopaminergic Stimuli-Linked Patterns in Children’s YouTube Videos Using Interpretable Machine Learning
    S Sakamuri, KK Jivanthikaa, KV Arvind, CS Kumar, P Jayalakshmi
    2025 IEEE 22nd India Council International Conference (INDICON), 1-6 , 2025
    2025
  • Smart traffic sign detection using deep learning for intelligent vehicle control
    CS Kumar, S Pal, Y Patel, R Animish, H Jain
    Engineering Science and Technology: Innovations for the Future, 180-185 , 2025
    2025
  • Robust Security Strategies for Smart Grid Networks: Integration of AI, Blockchain, and Resource‐Efficient Techniques
    C Santhosh Kumar, S Nancy Lima Christy, S Sindhuja, K Madhan
    Secure Energy Optimization: Leveraging Internet of Things and Artificial … , 2025
    2025
  • Design and Implementation of Artificial Intelligence Models Using Deep Neural Networks on Reconfigurable VLSI Systems for Autonomous Driving
    S Muruganantham, M Jacob, I Zukhra, A Kumar, A Bostani, ...
    Journal of VLSI Circuits and Systems 7 (1), 145-154 , 2025
    2025
  • Hybrid Bio-Inspired Routing Algorithms for Scalable and Adaptive Wireless Ad Hoc Networks
    A Bostani, A Kamalaveni, DD Kumar, N Shavkatov, K Sathishkumar
    National Journal of Antennas and Propagation 7 (1), 280-289 , 2025
    2025
    Citations: 1
  • Real-Time Multi-Modal Sign Language Recognition and Emotion Interpretation System
    S Venkatesh, V Vamsi, C Santhosh Kumar
    2025 International Conference on Sensors and Related Networks (SENNET … , 2025
    2025
  • Enhanced QR CODE Scanning and Blockchain Technology for Drug Packaging System
    N Palanivel, K Madhan, PT Sivashankar, C Santhosh Kumar, ...
    2024 International Conference on System, Computation, Automation and … , 2024
    2024
    Citations: 3
  • Deficiencies Identification and Detection in Grape Plant Leaves Using LSTM and CNN Model
    T Priyaradhikadevi, A Srivani, N Palanivel, K Madhan, K Kavitha
    2024 International Conference on System, Computation, Automation and … , 2024
    2024
    Citations: 1
  • Revolutionizing Manufacturing using Machine Learning Method
    CSK P.B.Senthil Kumar,Dr. N. Shunmuga Karpagam
    Tuijin Jishu/Journal of Propulsion Technology 45 (4), 2772-2779 , 2024
    2024
  • IoT and cloud computing-based automated epileptic seizure detection using optimized Siamese convolutional sparse autoencoder network
    M Ramkumar, SS Jamaesha, MS Gowtham, CS Kumar
    Signal, Image and Video Processing 18 (4), 3509-3525 , 2024
    2024
    Citations: 12
  • Securing IoT-Based Home Automation Systems Through Blockchain Technology: Implementation
    N Palanivel, K Madhan, CS Kumar, R SarathKumar, T Ragupathi
    2023 International Conference on System, Computation, Automation and … , 2023
    2023
    Citations: 2
  • Smart Parking and Parking Guidance Using ECNN Algorithm in Convolution Neural Network
    V Mathavan, P Sumathi, C Gayathri, CS Kumar, T Ragupathi, N Palanivel
    2023 International Conference on System, Computation, Automation and … , 2023
    2023
  • Heart Disease Prediction Using Linear Regression Techniques
    S Vanakovarayan, P Yogananth, CS Kumar, T Ragupathi, AR Ganesh, ...
    International Conference on System 2, 0-2 , 2023
    2023
  • A improved training method for deep learning based anatomical classification of X-rays
    P Arangarajan, CS Kumar, N Shunmugakarpagam, R Vijayabhasker, ...
    2023 International Conference on System, Computation, Automation and … , 2023
    2023
    Citations: 2
  • Energy efficient routing protocol in MANET using eagle search algorithm
    S Vanarasan, V Mathavan, N Shanmugapriya, CS Kumar, RS Kumar, ...
    2023 IEEE Fifth International Conference on Advances in Electronics … , 2023
    2023
    Citations: 10
  • Diabetic Retinopathy Diagnosis Categorization Using Deep Learning.
    KR Rajitha, CS Kumar
    Journal of Advanced Zoology 44 (3) , 2023
    2023
  • Design and Implementation of Solar Powered Smart Irrigation Using IoT
    CS Kumar, S Brindasri, J Krishnamoorthy, B Vidhya, G Saranya, ...
    2023 Eighth International Conference on Science Technology Engineering and … , 2023
    2023
  • Efficient composition algorithm strategies on semantic web services using nature inspired approach
    R Vijayabhasker
    ECS Transactions 107 (1), 17421 , 2022
    2022
    Citations: 1
  • Improving Vegetable Disease Detection using Modified K-Means Clustering Algorithm
    CS Kumar, J Jenifer, G Vidhya, R Vijayabhasker
    2021
  • IOT based Air and Sound Pollution Monitoring System
    K Roja, S Kumar, PAP Suhi
    2021

MOST CITED SCHOLAR PUBLICATIONS

  • IoT and cloud computing-based automated epileptic seizure detection using optimized Siamese convolutional sparse autoencoder network
    M Ramkumar, SS Jamaesha, MS Gowtham, CS Kumar
    Signal, Image and Video Processing 18 (4), 3509-3525 , 2024
    2024
    Citations: 12
  • Energy efficient routing protocol in MANET using eagle search algorithm
    S Vanarasan, V Mathavan, N Shanmugapriya, CS Kumar, RS Kumar, ...
    2023 IEEE Fifth International Conference on Advances in Electronics … , 2023
    2023
    Citations: 10
  • Enhanced QR CODE Scanning and Blockchain Technology for Drug Packaging System
    N Palanivel, K Madhan, PT Sivashankar, C Santhosh Kumar, ...
    2024 International Conference on System, Computation, Automation and … , 2024
    2024
    Citations: 3
  • Securing IoT-Based Home Automation Systems Through Blockchain Technology: Implementation
    N Palanivel, K Madhan, CS Kumar, R SarathKumar, T Ragupathi
    2023 International Conference on System, Computation, Automation and … , 2023
    2023
    Citations: 2
  • A improved training method for deep learning based anatomical classification of X-rays
    P Arangarajan, CS Kumar, N Shunmugakarpagam, R Vijayabhasker, ...
    2023 International Conference on System, Computation, Automation and … , 2023
    2023
    Citations: 2
  • Hybrid Bio-Inspired Routing Algorithms for Scalable and Adaptive Wireless Ad Hoc Networks
    A Bostani, A Kamalaveni, DD Kumar, N Shavkatov, K Sathishkumar
    National Journal of Antennas and Propagation 7 (1), 280-289 , 2025
    2025
    Citations: 1
  • Deficiencies Identification and Detection in Grape Plant Leaves Using LSTM and CNN Model
    T Priyaradhikadevi, A Srivani, N Palanivel, K Madhan, K Kavitha
    2024 International Conference on System, Computation, Automation and … , 2024
    2024
    Citations: 1
  • Efficient composition algorithm strategies on semantic web services using nature inspired approach
    R Vijayabhasker
    ECS Transactions 107 (1), 17421 , 2022
    2022
    Citations: 1
  • Modeling Dopaminergic Stimuli-Linked Patterns in Children’s YouTube Videos Using Interpretable Machine Learning
    S Sakamuri, KK Jivanthikaa, KV Arvind, CS Kumar, P Jayalakshmi
    2025 IEEE 22nd India Council International Conference (INDICON), 1-6 , 2025
    2025
  • Smart traffic sign detection using deep learning for intelligent vehicle control
    CS Kumar, S Pal, Y Patel, R Animish, H Jain
    Engineering Science and Technology: Innovations for the Future, 180-185 , 2025
    2025
  • Robust Security Strategies for Smart Grid Networks: Integration of AI, Blockchain, and Resource‐Efficient Techniques
    C Santhosh Kumar, S Nancy Lima Christy, S Sindhuja, K Madhan
    Secure Energy Optimization: Leveraging Internet of Things and Artificial … , 2025
    2025
  • Design and Implementation of Artificial Intelligence Models Using Deep Neural Networks on Reconfigurable VLSI Systems for Autonomous Driving
    S Muruganantham, M Jacob, I Zukhra, A Kumar, A Bostani, ...
    Journal of VLSI Circuits and Systems 7 (1), 145-154 , 2025
    2025
  • Real-Time Multi-Modal Sign Language Recognition and Emotion Interpretation System
    S Venkatesh, V Vamsi, C Santhosh Kumar
    2025 International Conference on Sensors and Related Networks (SENNET … , 2025
    2025
  • Revolutionizing Manufacturing using Machine Learning Method
    CSK P.B.Senthil Kumar,Dr. N. Shunmuga Karpagam
    Tuijin Jishu/Journal of Propulsion Technology 45 (4), 2772-2779 , 2024
    2024
  • Smart Parking and Parking Guidance Using ECNN Algorithm in Convolution Neural Network
    V Mathavan, P Sumathi, C Gayathri, CS Kumar, T Ragupathi, N Palanivel
    2023 International Conference on System, Computation, Automation and … , 2023
    2023
  • Heart Disease Prediction Using Linear Regression Techniques
    S Vanakovarayan, P Yogananth, CS Kumar, T Ragupathi, AR Ganesh, ...
    International Conference on System 2, 0-2 , 2023
    2023
  • Diabetic Retinopathy Diagnosis Categorization Using Deep Learning.
    KR Rajitha, CS Kumar
    Journal of Advanced Zoology 44 (3) , 2023
    2023
  • Design and Implementation of Solar Powered Smart Irrigation Using IoT
    CS Kumar, S Brindasri, J Krishnamoorthy, B Vidhya, G Saranya, ...
    2023 Eighth International Conference on Science Technology Engineering and … , 2023
    2023
  • Improving Vegetable Disease Detection using Modified K-Means Clustering Algorithm
    CS Kumar, J Jenifer, G Vidhya, R Vijayabhasker
    2021
  • IOT based Air and Sound Pollution Monitoring System
    K Roja, S Kumar, PAP Suhi
    2021