Dr. T. Srihari

@ksriet.ac.in

Professor / Electrical and Electronics Engineering
K S R Institute for Engineering and Technology

Dr. T. Srihari


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https://researchid.co/tsrihari

RESEARCH INTERESTS

IoT, ADAS, SRM
16

Scopus Publications

361

Scholar Citations

9

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • Enhancing traffic sign detection accuracy: A comparative study of morphological operations and MSER
    W. Deva Priya, T. Srihari
    Aip Conference Proceedings, 2026
  • Lumped Parameter Thermal Model for Axial Flux Surface Mounted Permanent Magnet Three and Six Phase BLDC Machines
    Mohammad Abdul Khader Aziz Biabani, K. Sakthivel, M. Panneer Selvam, Nagalakshmi Yarlagadda, M. Sreenivasulu, et al.
    2026 International Conference on Electric Power and Renewable Energy Eprec 2026, 2026
  • AI-Powered Real-Time Misinformation Detection a Deep Learning Framework for Combating Fake News and Deepfakes
    D Nageswar Rao, Kammara Mouneshwari, P. Ravi Kiran, Yalla Jeevan Nagendra Kumar, Aakansha Soy, et al.
    2025 International Conference on Metaverse and Current Trends in Computing Icmctc 2025, 2025
  • Defect Detection in Electronics Manufacturing via Deep Learning-Based Visual Inspection
    T. Srihari, A. Murugesan, Neeraj Kumar, T Eswaran, T. V. Hyma Lakshmi, et al.
    2025 International Conference on Computing Technologies and Data Communication Icctdc 2025, 2025
  • A Bio-Inspired Self-Healing Machine Learning Framework for Autonomous Fault Recovery in Computational Networks
    Saef Obad Husain, V. A. Narayana, Thammishati Annapurna, B. Sampath Kumar, V. Shunmugapriya, et al.
    2025 International Conference on Metaverse and Current Trends in Computing Icmctc 2025, 2025
  • Urban Air Quality Monitoring System Enhanced by IoT for Comprehensive Deployment, Data Collection, and Environmental Impact Analysis
    R. Sivakumar, Kalpana Singh, V. S. Nishok, Shweta Babarao Barshe, Kiran Sree Pokkuluri, et al.
    Wseas Transactions on Environment and Development, 2025
    In this study, we discuss aspects of success in the implementation and sustainability of an EMS in air pollution monitoring, such as the utilization of Internet of Things technology, location choice, sensor installation, support structures, and the capacity for future addition. It therefore is designed to plot the temporal changes of environmental factors such as contaminants and weather using synthetic data generation and assessments. This paper proves that air pollution is rather variable over the course of the defined time and highly depends on population density, industrial output, and green zone coverage. The paper deals with the quantitative and qualitative sensor deployment as well as sound engineering for data acquisition and transmitting; therefore the issues of scalability, modularity, and low cost are considered relevant to enhance more efficient and inexpensive sensing systems. In fact, data acquisition, as well as data communication and storage qualities, measurements of sensors, and analysis of their specifications such as their accuracy calibration, and coverage are also captured in the study. It complements and imposes the notion of sensitivity, accuracy, and requirement for maintenance during the organization’s information exchange, cloud storage and data dependability, and measures of data superiority. It therefore covers source identification of counter various polls through source apportionment and health effects of the resultant pollutants underlining the significance of effective antipollution measures. From policy and regulation impact analysis, a number of suggestions would need to be made regarding fairly balanced policy effort distribution between the policy and compliance, the effectiveness of the interventions, and the number of times the general public is to be made aware. These findings contribute to increasing the available knowledge on environmental monitoring activities and offer delicate recommendations for policymakers and other stakeholders regarding the improvement of the quality of the environment and the population’s health.
  • Enhancement of the Power System Stability with a Variable Structured TCSC Controller
    C. Srinivasa Rao, P. Venkata Prasad, M. Sai Veerraju, Moazzam Haidari, Gulshan Dhasmana, et al.
    3rd International Conference on Power Electronics and Energy Icpee 2025, 2025
  • Multilayer Seasonal Autoregressive Integrated Moving Average Models for Complex Network Traffic Analysis
    Prathipa Ravanappan, Maragatharajan M, Rashika Tiwari, Srihari T, Lavanya K
    Journal of Machine and Computing, 2024
    The ever-increasing amount of network traffic generated by various devices and applications has made it crucial to have efficient methods for analyzing and managing network traffic. Traditional approaches, such as statistical modeling, have yet to be proven enough due to network traffic's complex nature and dynamic characteristics. Recent research has shown the effectiveness of complex network analysis techniques for understanding network traffic patterns. This paper proposes multilayer seasonal autoregressive integrated moving average models for analyzing and predicting network traffic. This approach considers the seasonal patterns and interdependencies between different layers of network traffic, allowing for a more accurate and comprehensive representation of the data. The Multilayer Seasonal Autoregressive Integrated Moving Average (MSARIMA) model consists of multiple layers, each representing a different aspect of network traffic, such as time of day, day of week, or type of traffic. Each layer is modeled separately using SARIMA, a popular time series forecasting technique. The models for different layers are combined to capture the overall behavior of network traffic. The proposed approach has several benefits over traditional statistical approaches. It can capture network traffic's complex and dynamic nature, including short-term and long-term seasonal patterns. It also allows for the detection of anomalies and the prediction of future traffic patterns with high accuracy.
  • Application of Machine Learning for Anticipating Chip Failure Rates in VLSI Design
    T. Srihari, P. Umamaheswari, Seenuvasamurthi Sockkalingam, Nilesh P. Bodne, Charushila Axay Patel, et al.
    2024 International Conference on System Computation Automation and Networking Icscan 2024, 2024
    The purpose of this research is to investigate the incorporation of machine literacy techniques for the prediction of chip failure rates in the design of veritably Large Scale Integration (VLSI) systems. The complexity of very large-scale integrated circuits (VLSI) is increasing as semiconductor technology progresses, which presents issues in terms of their ability to be trusted. When it comes to dealing with the complexities of ultramodern chip infrastructures, traditional methods of failure rate prediction typically see a dramatic decline. The purpose of this is to improve the accuracy and precision of failure rate forecasts by analysing a wide range of elements, including design specifications, environmental factors, and manufacturing variables. This will be accomplished through the utilization of machine literacy algorithms. Our method tries to discover patterns and dependencies that contribute to chip failures using extensive data analysis and model training. As a result, it provides suppliers with a valuable instrument that can be used to proactively solve implicit trust ability issues during the VLSI design process. Within the constantly shifting landscape of semiconductor technology, the findings of this investigation present a potentially fruitful path toward the improvement of the reliability of very large-scale integrated circuits (VLSI) and the enhancement of the trustworthiness of electronic systems.
  • Studies on energy efficient techniques for agricultural monitoring by wireless sensor networks
    Kapil Aggarwal, G. Sreenivasula Reddy, Ramesh Makala, T. Srihari, Neetu Sharma, et al.
    Computers and Electrical Engineering, 2024
  • Quantum Dot-Based Hidden Markers with Machine Learning Algorithms for Enhanced Forensic Investigation and Document Security
    Amit Sharma, V. B. Gopala Krishna, Bandam Narendar, Virendra Kumar Verma, T. Srihari, et al.
    Icetas 2024 9th IEEE International Conference on Engineering Technologies and Applied Sciences, 2024
  • High-performance multiply-accumulate unit by integrating binary carry select adder and counter-based modular wallace tree multiplier for embedding system
    Jeyakumar Ponraj, R. Jeyabharath, P. Veena, Tharumar Srihari
    Integration, 2023
  • Facial Detection and Recognition-based Smart System on Feature Extraction using Raspberry Pi
    M Pavithra, A Murugesan, K Saranya, T Srihari, K Mohanraj, et al.
    3rd International Conference on Innovative Mechanisms for Industry Applications Icimia 2023 Proceedings, 2023
  • Hybrid multicarrier random space vector pwm for the mitigation of acoustic noise
    P. Madasamy, Rajesh Verma, C. Bharatiraja, Barnabas Paul Glady J., T. Srihari, et al.
    Electronics Switzerland, 2021
  • Real time speed bump detection using Gaussian filtering and connected component approach
    W. Devapriya, C. Nelson Kennedy Babu, T. Srihari
    IEEE Wctftr 2016 Proceedings of 2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare, 2016
  • Advance Driver Assistance System (ADAS) - Speed bump detection
    W. Devapriya, C. Nelson Kennedy Babu, T. Srihari
    2015 IEEE International Conference on Computational Intelligence and Computing Research Iccic 2015, 2016

RECENT SCHOLAR PUBLICATIONS

  • Enhancing traffic sign detection accuracy: A comparative study of morphological operations and MSER
    WD Priya, T Srihari
    AIP Conference Proceedings 3345 (1), 020312 , 2026
    2026
  • Multi-Layer Hybrid Energy Storage System with Time-Scale Decoupling for Fast-Response EV Charging Stations
    G Guna, M Pandikumar, T Srihari
    2026 International Conference on Smart Futuristic Technology, 1-7 , 2026
    2026
  • Self-Supervised Hybrid Model-Predictive Control for Maximum Power Point Tracking Under Partial Shading Conditions
    M Irshad, M Pandikumar, G Guna, T Srihari
    2026 International Conference on Smart Futuristic Technology, 1-5 , 2026
    2026
  • Efficient CNN-LSTM-Based Hybrid Model-Predictive Control for Real-Time Maximum Power Point Tracking Under Partial Shading Conditions
    M Pandikumar, M Irshad, G Guna, T Srihari
    2026 International Conference on Smart Futuristic Technology, 1-6 , 2026
    2026
  • Lumped Parameter Thermal Model for Axial Flux Surface Mounted Permanent Magnet Three and Six Phase BLDC Machines
    MAKA Biabani, K Sakthivel, MP Selvam, N Yarlagadda, M Sreenivasulu, ...
    2026 International Conference on Electric Power and Renewable Energy (EPREC … , 2026
    2026
  • Advancing accessibility: Enhancing accuracy in text-to-sign language translation through comparative analysis of CTC and HMMs
    MK Sai, WD Priya, T Srihari, TD Anandan
    The Future of Business and Society, 145-150 , 2026
    2026
  • Enhancement of the Power System Stability with a Variable Structured TCSC Controller
    CS Rao, PV Prasad, MS Veerraju, M Haidari, G Dhasmana, VT Thangam, ...
    2025 International Conference on Power Electronics and Energy (ICPEE), 1-6 , 2025
    2025
  • Defect Detection in Electronics Manufacturing via Deep Learning-Based Visual Inspection
    T Srihari, A Murugesan, N Kumar, T Eswaran, TVH Lakshmi, KT Shivaram
    2025 International Conference on Computing Technologies & Data Communication … , 2025
    2025
    Citations: 12
  • AI-Powered Real-Time Misinformation Detection a Deep Learning Framework for Combating Fake News and Deepfakes
    DN Rao, K Mouneshwari, PR Kiran, YJN Kumar, A Soy, T Srihari
    2025 International Conference on Metaverse and Current Trends in Computing … , 2025
    2025
    Citations: 1
  • A Bio-Inspired Self-Healing Machine Learning Framework for Autonomous Fault Recovery in Computational Networks
    SO Husain, VA Narayana, T Annapurna, BS Kumar, V Shunmugapriya, ...
    2025 International Conference on Metaverse and Current Trends in Computing … , 2025
    2025
    Citations: 3
  • Urban Air Quality Monitoring System Enhanced by IoT for Comprehensive Deployment, Data Collection, and Environmental Impact Analysis
    R Sivakumar, K Singh, VS Nishok, SB Barshe, KS Pokkuluri, T Srihari, ...
    WSEAS Transactions on Environment and Development 21, 374-402 , 2025
    2025
    Citations: 2
  • Application of Machine Learning for Anticipating Chip Failure Rates in VLSI Design
    T Srihari, P Umamaheswari, S Sockkalingam, NP Bodne, CA Patel, ...
    2024 International Conference on System, Computation, Automation and … , 2024
    2024
    Citations: 1
  • Quantum Dot-Based Hidden Markers with Machine Learning Algorithms for Enhanced Forensic Investigation and Document Security
    A Sharma, VBG Krishna, B Narendar, VK Verma, T Srihari, VS Nishok
    2024 IEEE 9th International Conference on Engineering Technologies and … , 2024
    2024
  • Identification of Human-Centric Designs with Advanced Robotics in Industry 4.0 Through Deep Learning
    N Chinthamu, W Deva Priya, G Vidyasagar, S Sivarajan, T Srihari
    Available at SSRN 5080678 , 2024
    2024
    Citations: 2
  • Applying Digital Twin Technology in Smart Manufacturing with Human-Robot Interaction Using Convolutional Neural Network
    N Chinthamu, W Deva Priya, T Mahesh, SK Nayak, L Sivaranjani, ...
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
  • Privacy-preserving deep learning approaches for effective utilization of wearable health data
    G Deepak, P Sharma, S Jayachitra, J Chepur, T Srihari, T Judgi
    Measurement: Sensors 33, 101238 , 2024
    2024
    Citations: 5
  • Multilayer Seasonal Autoregressive Integrated Moving Average Models for Complex Network Traffic Analysis
    Prathipa Ravanappan, Maragatharajan M, Rashika Tiwari, Srihari T, Lavanya K
    Journal of Machine and Computing 4 (01), 238-249 , 2024
    2024
  • Studies on energy efficient techniques for agricultural monitoring by wireless sensor networks
    K Aggarwal, GS Reddy, R Makala, T Srihari, N Sharma, C Singh
    Computers and Electrical Engineering 113, 109052 , 2024
    2024
    Citations: 70
  • Entrepreneurship, Innovation, And Technological Change: Catalysts Of Economic Evolution; A Descriptive Study
    K Swapna, Datta, TP Krishna, Kumar, A S., S K., S K., T., Srihari
    Migration Letters 21 (S1 (2024)), 962-971 , 2023
    2023
    Citations: 76
  • Facial detection and recognition-based smart system on feature extraction using raspberry pi
    M Pavithra, A Murugesan, K Saranya, T Srihari, K Mohanraj, MP Devi
    2023 3rd International conference on innovative mechanisms for industry … , 2023
    2023
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Entrepreneurship, Innovation, And Technological Change: Catalysts Of Economic Evolution; A Descriptive Study
    K Swapna, Datta, TP Krishna, Kumar, A S., S K., S K., T., Srihari
    Migration Letters 21 (S1 (2024)), 962-971 , 2023
    2023
    Citations: 76
  • Studies on energy efficient techniques for agricultural monitoring by wireless sensor networks
    K Aggarwal, GS Reddy, R Makala, T Srihari, N Sharma, C Singh
    Computers and Electrical Engineering 113, 109052 , 2024
    2024
    Citations: 70
  • Real time speed bump detection using Gaussian filtering and connected component approach
    W Devapriya, C Nelson Kennedy Babu, T Srihari
    Circuits and Systems 7 (9), 2168-2175 , 2016
    2016
    Citations: 63
  • Advance driver assistance system (ADAS)-speed bump detection
    W Devapriya, C Nelson Kennedy Babu, T Srihari
    2015 IEEE international conference on computational intelligence and … , 2015
    2015
    Citations: 50
  • Hybrid multicarrier random space vector pwm for the mitigation of acoustic noise
    P Madasamy, R Verma, C Bharatiraja, T Srihari, JL Munda, L Mihet-Popa
    Electronics 10 (12), 1483 , 2021
    2021
    Citations: 14
  • Indian License Plate Detection and Recognition Using Morphological Operation and Template Matching
    W Devapriya, CNK Babu, T Srihari
    World Academy of Science, Engineering and Technology International Journal … , 2015
    2015
    Citations: 14
  • Defect Detection in Electronics Manufacturing via Deep Learning-Based Visual Inspection
    T Srihari, A Murugesan, N Kumar, T Eswaran, TVH Lakshmi, KT Shivaram
    2025 International Conference on Computing Technologies & Data Communication … , 2025
    2025
    Citations: 12
  • High-performance multiply-accumulate unit by integrating binary carry select adder and counter-based modular wallace tree multiplier for embedding system
    J Ponraj, R Jeyabharath, P Veena, T Srihari
    Integration 93, 102055 , 2023
    2023
    Citations: 9
  • Speed-bump Detection using Otsu's Algorithm and Morphological Operation
    CNK Babu, WD Priya, T Srihari, R Nandakumar
    2020
    Citations: 9
  • Intelligent Transport Systems (ITS)
    W Deva Priya, T Srihari, Y Kalimuthu
    Recent Challenges in Science, Engineering and Technology, 130-146 , 2021
    2021
    Citations: 8
  • Real-Time Detection of Unmarked Speed Bump for Indian Roads
    CNK Babu, WD Priya, T Srihari
    European Journal of Molecular & Clinical Medicine 7 (5), 2020 , 2021
    2021
    Citations: 6
  • Privacy-preserving deep learning approaches for effective utilization of wearable health data
    G Deepak, P Sharma, S Jayachitra, J Chepur, T Srihari, T Judgi
    Measurement: Sensors 33, 101238 , 2024
    2024
    Citations: 5
  • An Improved Direct Torque Control Using Intelligent Technique for Switched Reluctance Motor Drive
    T Srihari, R Jeyabaharath, P Veena
    South Asian Journal of Engineering and Technology 2 (16), 125–133 , 2016
    2016
    Citations: 4
  • Raspberry Pi (model B) based interactive home automation system
    A Ramya, T Srihari
    Int. J. Trend Res. Dev.(IJTRD) 3 (1), 438-440 , 2016
    2016
    Citations: 4
  • ANFIS based space vector modulation-DTC for switched reluctance motor drive
    T Srihari, R Jeyabaharath, P Veena
    Circuits and Systems 7 (10), 2940-2947 , 2016
    2016
    Citations: 4
  • A Bio-Inspired Self-Healing Machine Learning Framework for Autonomous Fault Recovery in Computational Networks
    SO Husain, VA Narayana, T Annapurna, BS Kumar, V Shunmugapriya, ...
    2025 International Conference on Metaverse and Current Trends in Computing … , 2025
    2025
    Citations: 3
  • Urban Air Quality Monitoring System Enhanced by IoT for Comprehensive Deployment, Data Collection, and Environmental Impact Analysis
    R Sivakumar, K Singh, VS Nishok, SB Barshe, KS Pokkuluri, T Srihari, ...
    WSEAS Transactions on Environment and Development 21, 374-402 , 2025
    2025
    Citations: 2
  • Identification of Human-Centric Designs with Advanced Robotics in Industry 4.0 Through Deep Learning
    N Chinthamu, W Deva Priya, G Vidyasagar, S Sivarajan, T Srihari
    Available at SSRN 5080678 , 2024
    2024
    Citations: 2
  • Facial detection and recognition-based smart system on feature extraction using raspberry pi
    M Pavithra, A Murugesan, K Saranya, T Srihari, K Mohanraj, MP Devi
    2023 3rd International conference on innovative mechanisms for industry … , 2023
    2023
    Citations: 2
  • Evolutionary Computing Technique for Torque Ripple Minimization of 8/6 Switched Reluctance Motor
    T Srihari, R Jeyabharath, P Veena
    Advances in Natural and Applied Sciences (ANAS) 10 (Number 8:), 6-14 , 2016
    2016
    Citations: 2