Muralidharan Jayabalan

@kpriet.ac.in

Associate Professor and Department of Electronics and Communication Engineering
KPR institute of Engineering and Technology

Muralidharan Jayabalan


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https://researchid.co/muralidharan_j

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Electrical and Electronic Engineering
31

Scopus Publications

113

Scholar Citations

7

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • A novel device-to-device integration method using minimal impedance optimization for internet of things (IoT) sensing devices
    Muralidharan J, Suresh Kumar Pittala, Suresh Balanethiram
    Analog Integrated Circuits and Signal Processing, 2026
  • A Novel Optimal Sampling Digital PLL Design With High Performance and Alleviated Hardware for IOT Applications
    Muralidharan J, Suresh Kumar Pittala, L. Megalan Leo, A. Jerrin Simla
    International Journal of Communication Systems, 2025
    A key component of Internet of Things (IoT) nodes is the phase‐locked loop (PLL), yet power distribution remains an issue with the digital versions of these nodes. Reducing the high‐power distribution, which usually regulates the all‐digital PLL (ADPLL) power close to the digitally controlled oscillator (DCO), is essential for the development of the ultra‐low‐power ADPLL. The low‐level audio will reduce the active signal‐to‐noise ratio (SNR), when ADPLL is used in a communications system, causing significant inaccuracy and reducing the data rate. Therefore, it is vital to understand the trade‐off between phase noise, lock time performance, and variability in ADPLL. We present the improved design optimal sampling digital PLL (OS‐DPLL) for IoT applications in this paper. The proposed OS‐DPLL consists of a loop module (LM), ring oscillator (RO), first‐order digital loop filter (F‐DLF), divider chain, and bang–bang phase frequency detector (BBPFD), which uses the improved bang–bang approach. In addition, an efficient operating system is introduced to isolated operating modes, which provide standard bandwidth performance for sound and spectral purity in a closed phase mode. The simulation result determines the effectiveness of the proposed OS‐DPLL design based on power consumption, hardware utilization, and throughput.
  • Enhanced Facial Emotion Recognition Using Vision Transformer Models
    N. Sabiyath Fatima, G. Deepika, Arun Anthonisamy, R. Jothi Chitra, J. Muralidharan, Manjunathan Alagarsamy, Kummari Ramyasree
    Journal of Electrical Engineering and Technology, 2025
  • WITHDRAWN: Mathematical modelling of free convection in an ellipse-rectangular annulus filled with nanofluid using LBM
    Aravindhan Surendar, J. Muralidharan, Ali Dehghan Saee, Andino Maseleno, Aleksandr Alekseevich Rudenko, David Ross
    Thermal Science and Engineering Progress, 2025
  • Traffic Surveillance System Through Capsule Gated Graph Attention Network for IoT/IIoT Cyberthreat Detection and Mitigation
    Mahesh Prasanna K, Devashree Marotka, Muralidharan J, Rachit Adhvaryu, Vani V, Ramya Maranan
    2nd International Conference on Machine Learning and Autonomous Systems Icmlas 2025 Proceedings, 2025
    Internet of Things and Industrial Internet of Things have seen rapid adoption and have transformed industries through smart automation, constant monitoring and better connected systems. The progressive inclusion of such solutions has contributed to the growth in exposure to complex and changing global threats. The primary challenge lies in accurately detecting and classifying cyber threats from high-volume, unstructured network traffic data in real-time. Existing methods are not very accurate and cannot be easily scaled due to constraints in computational resources and the nature of IIoT network systems. This paper introduces Traffic Surveillance System through Capsule Gated Graph Attention Network for IoT/IIoT Cyberthreat Detection and Mitigation (Cyber-CapG). The system uses raw traffic data from Edge-IIoTset and uses the Tunable Transformer for feature extraction. The extracted features are passed through the Capsule Gated Graph Attention Network to model the traffic as a graph based on communication hierarchy and being selective to essential traffic patterns. Furthermore, weights and loss functions are tuned based on the Progressive Crested Porcupine Optimization so as to achieve maximum optimization. The proposed system exhibits outstanding performance with 99.21 % detection rate, 99.07% precision, 99.15% recall, 99.18% F1 measure, and it provides an effective way of identifying threats like DDoS, SQL Injection, and Ransomware. In conclusion, Cyber-CapG provides a solid solution for traffic surveillance in IoT/IIoT, providing the high detection and prevention of various cyber threats, as well as optimizing the cybersecurity and reliability of industrial networks.
  • AI-enhanced drug discovery for Alzheimer's
    D. R. Denslin Brabin, J. Muralidharan, Sharath Kumar Jagannathan, Ruth Ramya Kalangi
    AI Driven Alzheimer S Disease Detection and Prediction, 2024
    AI-greater drug discovery has emerged as a promising approach inside the search for effective remedies for Alzheimer's ailment. In latest years, the use of synthetic intelligence (AI) has multiplied the drug discovery manner by means of enhancing our understanding of sickness mechanisms and identifying ability drug applicants. With the aid of leveraging huge facts and powerful computing algorithms, AI strategies can analyze sizable quantities of biomedical statistics, are expecting drug-target interactions, and even design new molecules with favored homes. This summary explores the modern state of AI-stronger drug discovery for Alzheimer's disorder, including the capability benefits and challenges of this method, and discusses future implications for the improvement of powerful remedies for this devastating situation.
  • Develop the ubiquitous computing wearable IoT devices using IoT-distributed framework
    J. Ashok, S. Purushothaman, Purnendu Shekhar Pandey, K. Praveena, Chetan Pandey, J. Muralidharan
    Measurement Sensors, 2024
    Body Area Sensor Network (BASN) communication methods meet clients' multi-level requirements through Wearable Internet of Things (WIoT) systems. Transparency at management levels, heterogeneous support, and distributed communication to users are requirements of the PCS. Providing essential functions is a serious problem. A flexible Ubiquitous Computing (UC) architecture presented in this study is used to improve the reliability of end-user communication in the WIoT-based health sensor approach. According to this method, demand and sharing variables provide the foundation for the evaluation of resource allocation through recurrent learning. A proposed method could be used to implement end-user mobility management on WIoT healthcare sensors for data transmission, resource allocation and sharing. To show the integrity of the approach, some parameters were used in the actual evaluation and performance predictions. In the ubiquitous ecosystem, the uninterrupted flow was guaranteed to reduce the likelihood of a request being blocked. Memory control to density assignment at the framework level through storage management helps reduce backlogs and failures when allocating resources. The proposed approach enhances storage utilization, bandwidth, and request management besides lowering connection speed, backlogs, and request failure compared to the existing systems.
  • Remote Respiratory Health Monitoring System
    Muralidharan J, Kavya A S, Krishna T A, Negashri K, Prasanna M
    International Conference on Smart Systems for Electrical Electronics Communication and Computer Engineering Icsseec 2024 Proceedings, 2024
    This paper outlines the creation and advancement of an Internet of Things (IoT) powered remote respiratory health monitoring system for individuals suffering from asthma. Asthma, characterized by lung inflammation, results in the constriction of airways, making it challenging to breathe in and out. This condition significantly impairs breathing abilities, posing considerable difficulty. A Remote Respiratory Health Monitoring System is user-friendly asthma patient monitoring system to monitor the patient's environment and provide precautions and also gathering health information from people who are far away and sending it electronically to doctors for review and advice during emergency situations. The proposed system will enable patients to track oxygen saturation (SpO2), heart rate, body temperature, humidity, volatile gases, and surrounding temperature using different sensors. This information will be displayed in an application called Blynk.
  • Temperature Variation Modelling in Mushroom Growing Hall with IAN-Bidirectional GRU Model
    D. Kalpanadevi, S. Nandhini Devi, Silas Stephen D, Sunita Jadhav, P M D Ali Khan, Muralidharan J
    4th International Conference on Sustainable Expert Systems Icses 2024 Proceedings, 2024
    Modern developments in computing and electronics have made intelligent systems suitable for use in the mechanization of agricultural processes. This proposed used multilayered perceptron and radial basis function networks to forecast the temperature shifts in the mushroom cultivation chamber based on independent variables including water temperature, ambient temperature, water tap, fresh air and circulation air dampers, and water tap. Preprocessing, feature extraction, and training the model are the three phases that comprise this proposed method. Reflectance calibration, normalization, and spectral smoothing are the steps involved in data preprocessing. Feature extraction made quick work of extracting information from mushroom photos by employing the SIFT algorithm. The proposed model was trained using an IAN-Bidirectional GRU. When compared to more conventional approaches, the proposed methodology is superior. The method's application resulted in a 93.75% improvement in accuracy.
  • Automated Seizure Detection Using Machine Learning Algorithm in Very Large Scale Integration
    International Journal of Intelligent Systems and Applications in Engineering, 2024
  • Methods of cross-validation and bootstrapping
    K. Arthi, Veeramalai Sankaradass, Nikhat Parveen, J. Muralidharan
    Toward Artificial General Intelligence Deep Learning Neural Networks Generative AI, 2023
  • Performance Enhancement Counter with Minimal Clock Period
    Anto Mamman Shane S, Muralidharan J
    E3s Web of Conferences, 2023
  • Smart Safety and Accident Prevention System
    Muralidharan J, Sindhuja L.P, Srinivasan S, Sunshetha K.V, Surendhran P
    E3s Web of Conferences, 2023
  • Design of Power and Delay Efficient Fault Tolerant Adder
    Kalamani C, Vivek Karthick Perumal, M. Vivek Kumar, J. Muralidharan
    Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy Icais 2023, 2023
  • Detecting the Oxygen Saturation level and Heart Rate using MAX30100 Sensor
    Muralidharan J, Sharumathi S, Sivasudhan A, Yamini K, Sathishkumar K
    Vitecon 2023 2nd IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies Proceedings, 2023
  • Cybersecurity in Internet of Things Networks using Deep Learning Models
    V Anitha, C.G. Naveen Kumar, Ramu Kuchipudi, Khushboo Sharma, J Muralidharan, R. Rajagopal
    2nd International Conference on Sustainable Computing and Data Communication Systems Icscds 2023 Proceedings, 2023
  • Design of Area Efficient, Low-Power and Reliable Transmission Gate-based 10T SRAM Cell for Biomedical Application
    Aswini Valluri, , Sarada Musala, Muralidharan Jayabalan, , and
    Journal of Engineering Research Kuwait, 2022
  • Design of Autonomous Vehicle for Transporting Harvested Fruit from Farming Field Using Raspberry Pi
    J Muralidharan, E A Annmaria, Prince V Beme, S Gokulakkannan
    Icdcs 2022 2022 6th International Conference on Devices Circuits and Systems, 2022
  • On Reducing Test Data Volume for Circular Scan Architecture Using Modified Shuffled Shepherd Optimization
    Muralidharan Jayabalan, E. Srinivas, Francis H. Shajin, P. Rajesh
    Journal of Electronic Testing Theory and Applications JETTA, 2021
  • Smart Shopping Trolley System using IoT
    J. Muralidharan, N. Muthukumaran, R. Ranjith Kumar, M. Rubika
    Journal of Physics Conference Series, 2021
  • An Automatic Fluid Filling Mechanism Using Delta PLC
    J Muralidharan, S Saran, G Tamilkavi, S Thivakar, M Vivin
    Journal of Physics Conference Series, 2021
  • A Air Cavity Based Multi Frequency Resonator for Remote Correspondence Applications
    MURALIDHARAN J
    National Journal of Antennas and Propagation, 2020
  • Wideband Patch Antenna For Military Applications
    Dahlan Abdullah
    National Journal of Antennas and Propagation, 2020
  • Design Of High Precision and Frequency Full Wave Rectifier
    Journal of VLSI Circuits and Systems, 2020
  • Design And Analysis Of 1-Bit Full Adder Using Cntfets
    J Muralidharan
    Journal of VLSI Circuits and Systems, 2020
  • Role of stress triaxiality on performance of solder joints with different geometries
    Muralidharan Jayabalan, Ahmed Faisal Siddiqi, Oleg Kuzichkin, Aleksandr Yuvenal’evich Krasnopevtsev, Mohammad Salmani
    Materials Research Express, 2019
  • Reduction of power in Sram cell with gated VDD methodology
    International Journal of Recent Technology and Engineering, 2019
  • Current Comparison Domino based CHSK domino logic technique for rapid progression and low power alleviation
    J. Muralidharan, P. Manimegalai
    International Journal of Electrical and Computer Engineering, 2017
  • Conceptual improvisation on low power mitigation for domino logic systems using CHSK domino logic
    J. Muralidharan, P. Manimegalai
    Indian Journal of Science and Technology, 2016
  • An integrated switching technique for minimizing power consumption using MDFSD in domino logic system
    International Journal of Applied Engineering Research, 2016
  • A literature survey and investigation of various high performance domino logic circuits
    Arpn Journal of Engineering and Applied Sciences, 2016

RECENT SCHOLAR PUBLICATIONS

  • A Novel Optimal Sampling Digital PLL Design With High Performance and Alleviated Hardware for IOT Applications
    AJS Muralidharan J, Suresh Kumar Pittala, L. Megalan Leo
    International Journal of Communication Systems 38 (9), 1-19 , 2025
    2025
  • Enhanced Facial Emotion Recognition Using Vision Transformer Models
    NS Fatima, G Deepika, A Anthonisamy, RJ Chitra, J Muralidharan, ...
    Journal of Electrical Engineering & Technology, 1-10 , 2025
    2025
    Citations: 6
  • Novel Low-Power CMOS VLSI Design using Federated Learning based Adiabatic Switching Principle
    SS J. Muralidharan, Manasi Dnyanesh Karajgar, N. Kanagavalli
    ICTACT Journal on Microelectronics 9 (4), 1693 - 1699 , 2024
    2024
  • Automated Seizure Detection Using Machine Learning Algorithm in Very Large Scale Integration
    RBP K. Sri Vijaya, B. Hari Chandana, D. Sugumar, Muralidharan J, I.Mohana ...
    International Journal of Intelligent Systems and Applications in Engineering … , 2023
    2023
  • Develop the ubiquitous computing wearable IOT devices using IOT- distributed framework
    JM J. Ashok, R. Purushothaman, Purnendu Shekhar Pandey, K. Praveena, Chetan ...
    Measurement: Sensors 31 (1), 1 - 5 , 2023
    2023
  • Exploring Neuromorphic Computing in VLSI for Efficient AI Inference
    DKTLN 6. J. Muralidharan, B. Srinivasa Rao
    ICTACT Journal on Microelectronics 9 (3), 1620 - 1627 , 2023
    2023
  • Digital Filters Optimisation using Residual Learning Model Digital Filters for Coherent Optical Receivers
    JMPTK R. Valarmathi, Mohammed Abdul Matheen
    ICTACT Journal on Microelectronics 9 (1), 1508 – 1512 , 2023
    2023
  • Smart Safety and Accident Prevention System
    J Muralidharan, LP Sindhuja, S Srinivasan, KV Sunshetha, P Surendhran
    E3S Web of Conferences 399, 01006 , 2023
    2023
    Citations: 4
  • Performance Enhancement Counter with Minimal Clock Period
    J Muralidharan
    E3S Web of Conferences 399, 01005 , 2023
    2023
    Citations: 3
  • Design of Autonomous Vehicle for Transporting Harvested Fruit from Farming Field Using Raspberry Pi
    J Muralidharan, EA Annmaria, PV Beme, S Gokulakkannan
    2022 6th International Conference on Devices, Circuits and Systems (ICDCS … , 2022
    2022
    Citations: 2
  • On Reducing Test Data Volume for Circular Scan Architecture Using Modified Shuffled Shepherd Optimization
    M Jayabalan, E Srinivas, FH Shajin, P Rajesh
    Journal of Electronic Testing, 1-16 , 2021
    2021
    Citations: 10
  • Design of Area Efficient, Low-Power and Reliable Transmission Gate-based 10T SRAM Cell for Biomedical Applications
    S Musala, A Valluri
    Journal of Engineering Research , 2021
    2021
    Citations: 2
  • Smart Shopping Trolley System using IoT
    J Muralidharan, N Muthukumaran, RR Kumar, M Rubika
    Journal of Physics: Conference Series 1937 (1), 012042 , 2021
    2021
    Citations: 16
  • An Automatic Fluid Filling Mechanism Using Delta PLC
    J Muralidharan, S Saran, G Tamilkavi, S Thivakar, M Vivin
    Journal of Physics: Conference Series 1937 (1), 012004 , 2021
    2021
    Citations: 13
  • SEGMENTATION OF GLAUCOMA DISEASE BASED ON MODIFIED KERNEL FUZZY C-MEANS ALGORITHM FOR HEALTHCARE APPLICATIONS
    DJM Dr. V. Arulkumar, Ms. Dhivya, Dr. P.G. Om Prakash, A. Ranjith
    Turkish Journal of Physiotherapy and Rehabilitation 32 (3), 985-995 , 2021
    2021
  • Performance Comparison of Adder Topologies with Parallel Processing Adder Circuit
    MPA Dr. Muralidharan J, Dr. Senthisivakumar M
    International Conference on Advances in Computing, Communication, Automation … , 2020
    2020
  • IoT Enabled Closed-Circuit Television Surveillance Monitoring using Backward-Channel Compression
    DMJ M P Rajakumar, K.Kavitha, Dr. M. Prasad, Dr K. Sampath Kumar
    European Journal of Molecular & Clinical Medicine 7 (2), 3258-3263 , 2020
    2020
  • Design of High Performance and Functional Verification of DSP Board using VLSI Architecture
    PK Dr. Muralidharan J, Dr.R.Dhanagopal
    Journal of Critical Reviews 17 (4), 1761-1764 , 2020
    2020
  • Area efficient design of a redundant binary multiplier using modified partial product generator and Compressors
    Dr. Anand Anbalagan, Dr. K.Arun, Dr J.Muralidharan, P.Karthikeyan
    Journal of Critical Reviews 7 (13), 1800-1805 , 2020
    2020
  • A Novel And Efficient Design of Conflict Free Memory Address Schemes
    Mr. Ravi Kumar Sanapala1, Mrs.P.Srividdhya, Dr. Muralidharan J, P.Karthikeyan
    Journal of Critical Reviews 7 (13), 1794-1799 , 2020
    2020

MOST CITED SCHOLAR PUBLICATIONS

  • Smart Shopping Trolley System using IoT
    J Muralidharan, N Muthukumaran, RR Kumar, M Rubika
    Journal of Physics: Conference Series 1937 (1), 012042 , 2021
    2021.0
    Citations: 16
  • Wideband Patch Antenna For Military Applications
    J MURALIDHARAN
    National Journal of Antennas and Propagation 2 (1), 25-30 , 0
    Citations: 16
  • An Automatic Fluid Filling Mechanism Using Delta PLC
    J Muralidharan, S Saran, G Tamilkavi, S Thivakar, M Vivin
    Journal of Physics: Conference Series 1937 (1), 012004 , 2021
    2021.0
    Citations: 13
  • Current Comparison Domino based CHSK Domino Logic Technique for Rapid Progression and Low Power Alleviation.
    J Muralidharan, P Manimegalai
    International Journal of Electrical & Computer Engineering (2088-8708) 7 (5) , 2017
    2017.0
    Citations: 12
  • On Reducing Test Data Volume for Circular Scan Architecture Using Modified Shuffled Shepherd Optimization
    M Jayabalan, E Srinivas, FH Shajin, P Rajesh
    Journal of Electronic Testing, 1-16 , 2021
    2021.0
    Citations: 10
  • A Air Cavity Based Multi Frequency Resonator for Remote Correspondence Applications
    J MURALIDHARAN
    National Journal of Antennas and Propagation 2 (2), 21-26 , 0
    Citations: 10
  • Role of stress triaxiality on performance of solder joints with different geometries
    AYKMS Muralidharan Jayabalan , Ahmed Faisal Siddiqi , Oleg Kuzichkin
    Materials Research Express , 2019
    2019.0
    Citations: 9
  • Enhanced Facial Emotion Recognition Using Vision Transformer Models
    NS Fatima, G Deepika, A Anthonisamy, RJ Chitra, J Muralidharan, ...
    Journal of Electrical Engineering & Technology, 1-10 , 2025
    2025.0
    Citations: 6
  • Smart Safety and Accident Prevention System
    J Muralidharan, LP Sindhuja, S Srinivasan, KV Sunshetha, P Surendhran
    E3S Web of Conferences 399, 01006 , 2023
    2023.0
    Citations: 4
  • Performance Enhancement Counter with Minimal Clock Period
    J Muralidharan
    E3S Web of Conferences 399, 01005 , 2023
    2023.0
    Citations: 3
  • A Literature Survey and Investigation of Various High Performance Domino Logic Circuits
    MP Muralidharan J.
    ARPN Journal of Engineering and Applied Sciences 11, 3456 - 3464 , 2016
    2016.0
    Citations: 3
  • Design Of High Precision and Frequency Full Wave Rectifier
    J MURALIDHARAN
    Journal of VLSI Circuits and Systems 2 (2), 15-17 , 0
    Citations: 3
  • Design of Autonomous Vehicle for Transporting Harvested Fruit from Farming Field Using Raspberry Pi
    J Muralidharan, EA Annmaria, PV Beme, S Gokulakkannan
    2022 6th International Conference on Devices, Circuits and Systems (ICDCS … , 2022
    2022.0
    Citations: 2
  • Design of Area Efficient, Low-Power and Reliable Transmission Gate-based 10T SRAM Cell for Biomedical Applications
    S Musala, A Valluri
    Journal of Engineering Research , 2021
    2021.0
    Citations: 2
  • Conceptual Improvisation on Low Power Mitigation for Domino Logic Systems using CHSK Domino Logic
    J. Muralidharan and P. Manimegalai
    Indian Journal of Science and Technology 9 (16), 1-8 , 2016
    2016.0
    Citations: 2
  • An Integrated Switching Technique for Minimizing Power Consumption Using MDFSD in Domino Logic System
    DPM J. Muralidharan.
    International Journal of Applied Engineering Research 11, 2298 - 2304 , 2016
    2016.0
    Citations: 1
  • Design And Analysis Of 1-Bit Full Adder Using Cntfets
    J MURALIDHARAN
    Journal of VLSI Circuits and Systems 2 (1), 14-17 , 0
    Citations: 1
  • A Novel Optimal Sampling Digital PLL Design With High Performance and Alleviated Hardware for IOT Applications
    AJS Muralidharan J, Suresh Kumar Pittala, L. Megalan Leo
    International Journal of Communication Systems 38 (9), 1-19 , 2025
    2025.0
  • Novel Low-Power CMOS VLSI Design using Federated Learning based Adiabatic Switching Principle
    SS J. Muralidharan, Manasi Dnyanesh Karajgar, N. Kanagavalli
    ICTACT Journal on Microelectronics 9 (4), 1693 - 1699 , 2024
    2024.0
  • Automated Seizure Detection Using Machine Learning Algorithm in Very Large Scale Integration
    RBP K. Sri Vijaya, B. Hari Chandana, D. Sugumar, Muralidharan J, I.Mohana ...
    International Journal of Intelligent Systems and Applications in Engineering … , 2023
    2023.0