ASHOKKUMAR P

@sonatech.ac.in

Assistant Professor & Civil Engineering
Sona College of Technology

ASHOKKUMAR P


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https://researchid.co/ashokdce

RESEARCH INTERESTS

Structural Health monitoring, IoT,Building Automation
13

Scopus Publications

177

Scholar Citations

5

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Prediction of early age compressive strength of concrete using machine learning
    Ashok Kumar Palanisamy, D. Jegatheeswaran, Christo Ananth, Ankur Bhogayata, Bhanu Juneja, Rakhmanov Buribay, Tsegay Tesfay Mezgebe
    Scientific Reports, 2025
    This study introduces an innovative approach to predicting the early-age compressive strength (CS) of concrete by integrating Internet of Things (IoT) with Artificial Neural Networks (ANNs). Unlike traditional destructive testing methods, this technique employs a non-contact and non-destructive structural health monitoring (SHM) system that continuously tracks the hydration temperature of concrete using embedded LM35 temperature sensors. These sensors are connected to an Arduino microcontroller and an ESP8266 Wi-Fi module, enabling real-time data transmission to the ThingSpeak cloud platform. To calculate the temperature‒time factor (TTF), Concrete temperature, temperature sensors, and IoT techniques were used. Based on the maturity method, for the mix grades 20, 25, 30, 35, and 40, the graph was subsequently developed using the temperature time factor and the concrete compressive strength (CS). To determine the flexural strength (FS) of the concrete, it was validated experimentally using the developed graph. Further analysis performed using ANNs to validate the experimental results. The study investigated via the classification of neural networks (NNs), such as Neural Network-Levenberg-Marquardt (NN-LM) and Neural Network Gradient Descent (NN-GD). These two ANN models were compared with NN-LM, showing marginally better accuracy. The research employs a feed-forward back-propagation neural network. A comparative study reveals that the differences in prediction of flexural strengths range from 0.02 to 3.90 MPa for the maturity method (MM) and − 0.69 to -4.80 MPa for the ANN. Estimated strength via a sensor through the IoT, MM and ANN prediction models closely match the experimental findings. The proposed model can assist civil engineers in real-time formwork removal and quality control decisions without destructive testing.
  • Development and Characterization of PALF-Reinforced Nanocomposite with Polyester and Coconut Shell Nanopowder Matrix for Advanced Applications
    D. Gnanasangeetha, P. Ashok Kumar, K. Gopalakrishnan, G. Nixon Samuel Vijayakumar, Awadhesh Chandramauli, M. Manohara, T. Subba Reddy, B. Palanikumar
    Aip Conference Proceedings, 2025
  • Enhancing Thermal and Mechanical Properties of Cement Mortar Using PCM-Encapsulated Cellulose Nano Fiber Composites
    W. Shanthi, A. Thiruppathi, P. Ashokkumar, Amit Kumar, Vinayak Barewar, D. Pavan Kumar, Monika, D. Magesh Babu
    Aip Conference Proceedings, 2025
  • Utilization of advanced IoT and high-performance computing for enhanced agricultural systems
    A. N. Arularasan, D. Kalaiyarasi, P. Ashokkumar, K. Suresh, M. Rajasekar, A. Rajendra Prasad
    Integrating Artificial Intelligence into the Energy Sector, 2025
    This chapter emphasizes the potential transformational role of combining advanced IoT solutions with HPC for farming in the direction of productive and sustainable agriculture. With growing demands for data-driven agriculture as well as efficient farming, tens of thousands of IoT-enabled devices in the form of sensors and drones collect real-time data about the condition of the soil, crops, or weather and resource usage. High-performance computing is used to rapidly analyze and compute data for accurate decision-making and predictive analytics in crop management, pest control, and resource optimization. HPC enables farmers to use machine learning and AI models to predict yields, detect diseases early, and automate irrigation and fertilization schedules, promoting sustainable agriculture. The chapter explores the potential of IoT and HPC in precision agriculture, highlighting their potential to reduce reliance on unhealthy, abused, or exhausted croplands, aligning with global food security goals.
  • Graph Neural Networks-Mapped Structural Health Monitoring System for Bridge Safety
    Rakesh Kumar Pandey, Ashokkumar P, Ashutosh Pandey, Eswara Veera Raghava Rao, G Janani, Shailendra Kumar Bohidar
    Proceedings Iceconf 2025 2025 2nd International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering, 2025
    In the current paper, a Graph Neural NetworksMapped Structural Health Monitoring System of Bridge Safety, a combination of high-level machine learning methods of detecting anomalies in bridge infrastructure in real time, is introduced. Preprocessing in the system uses Robust Principal Component Analysis as it guarantees efficient reduction of noise and processing of sensor readings. To ensure efficient selection of features, the Minimum Redundancy Maximum Relevance method is used to ensure that the most relevant ones are selected, which improves the efficiency of the model. The spatial and temporal relationship between sensors is then modelled using a Graph Neural Network classifier that allows the detection of possible structural problems effectively. PyTorch and PyTorch Geometric are used to implement the system, which results in scalable performance. The suggested solution is very accurate in detecting anomalies and false positives and false negatives are greatly reduced, which is why this specific solution can be used as a valid solution to proactive bridge maintenance. Its outcomes indicate that it can advance the safety and durability of infrastructures.
  • Utilization of Steelmaking By-Products and Aluminum Sludges in Alkali-Activated Materials: A Sustainable Approach for Construction Applications
    K Suresh Kumar, J Srinivas, P Ashokkumar, R Saravanan, V Aravind, Suriya Shaffi Bhat, R Ashok raj, R Girimurugan
    Journal of Physics Conference Series, 2025
    The sustainability of resources, including construction and building materials, is becoming an increasingly pressing issue due to the world’s rapidly increasing population. Research on alternatives to ordinary Portland cement (OPC) for use as concrete binder, such as alkali-activated cements (AAC) is a continuing endeavor. Due to reduced CO2 emissions associated with their manufacture, they pose less of a threat to the environment while having mechanical properties that are on par with the OPC. Building alkali-activated materials (AAM) with acceptable qualities for building applications while minimizing CO2 emissions and costs is the goal. These materials maximize the incorporation of recycled materials. A number of initiatives are therefore underway to develop environmentally friendly building materials from a variety of sources and raw ingredients. The by-products of the steelmaking sector have recently attracted a lot of attention, mainly because they are easily accessible. The utilization of ladle slag (LS), a waste product from the steel industry, as an essential component in AAC was the focus of this research. Aluminum surface treatment’s by-product, aluminum anodizing sludge (AS), and phosphate treatment’s byproduct, phosphating bath sludge (PS) were mixed with it at additional rates of 15 % and 25 %, respectively. A commercial solution (COM) made up of NaOH and Na2SiO3 and a solution that was wasted after cleaning aluminum extrusion steel dies (CLE) were the two alkaline solutions that were used to activate the precursors. Through the use of X-ray diffraction and Fourier transform infrared, as well as the rheology, heat of hydration, compressive strength (CS), and performance of alkali-activated LS, this study investigates the effects of steelmaking by-products (PS, AS, and CLE). The findings demonstrated that the CLE did not weaken the AAM with PS or AS, but it did double the strength of the LS when used alone. Also, compared to the CLE, more fluid pastes were produced when a commercial activator (COM) was used and this was true regardless of the precursor combination.
  • Advancements in Filtration Technologies for Air and Water Pollution Control
    Richa, Aashish. A. Gadgil, Abhijeet Das, P. Ashokkumar, Neha Munjal, J. K. Periasamy
    Environmental Applications of Carbon Based Materials, 2024
    In this chapter, conventional and advanced filtration technologies, which are particularly tailored to tackle the problems of air and water pollution in India, are explored. Novel techniques such as gravity filtration, sand filtration, multimedia filtration, membrane filtration, activated carbon filtration, and electrostatic precipitation have been explored to analyze and make technical changes. The advanced filtration technologies have been discussed to apply and solve the strong mitigation measures. The technical, economic, and regulatory aspects of filtration technology have also been discussed. Implementation strategies for filtration technology have been discussed, using existing technologies to be efficient in addressing pollution problems. The environmental regulations (policies, laws, and rules) procedures are designed to preserve environmental resources and sustainable developments. The best practices have also been described to learn the existing methods and procedures.
  • Experimental study of minimum - temperature hydrated salt latent heat thermal energy storage with sodium acetate trihydrate as phase change materials
    R. Manikandan, K. Gopalakrishnan, P. Ashokkumar, Pon. Maheskumar, R. Girimurugan, G. Ravivarman, R. Anand
    E3s Web of Conferences, 2023
    There’s a lot of hope for phase change material (PCM) in applications like sustainable energy generation and retrieval of heat loss. Latent heat thermal energy storage (LHTES) systems containing hydrated salt (HS) at minimum-temperature have been the topic of much study, particularly with regards to their thermal behavior and charging-discharging properties. The PCM was prepared by adding sodium acetate trihydrate (SAT), a nucleation agent, and a thickness agent to the test tube. We monitored PCM’s temperature behavior and analyzed its thermal characteristics. Natural convection was the dominant way of heat transmission while the phase change material temperature was over the fusion threshold, whereas conduction was the dominant mode when liquid phase change material formed during the phase transition progression. Heat storage and release efficiency as a function of tube diameter and flow rate was analyzed. Internal stainless-steel fins and aluminium fins of varying thicknesses were added to the tube to increase heat transmission. The shape of the storing tube and fins was shown to have a significant impact on the heat transmission among the thermal fluid and the phase change material. Charging and discharging duration may be cut by 28 % and 25 %, respectively, because to the revised fins shape. Our findings from this study can serve as an experimental foundation for using the minimum-temperature hydrated salt LHTES system.
  • Application of Electrical Resistivity Method for Monitoring and Assessment of Cracks in Concrete Structures
    P. Ashokkumar, D. Jegadeeswaran
    Smart Innovation Systems and Technologies, 2023
  • Application of internet of things for structural assessment of concrete structures: Approach via experimental study
    Smart Structures and Systems, 2023
  • Advanced IoT Home Automation using ThingSpeak and Google Assistant IoT Platform
    Pankaj Kumar Tyagi, Rajesh Singh, M. Kalyan Chakravarthi, Prabhdeep Singh, Ashok Kumar P, Ch. Raghava Prasad
    Proceedings of the 2022 11th International Conference on System Modeling and Advancement in Research Trends Smart 2022, 2022
  • E marketing strategy in health care using IoT and Machine Learning
    Tamal Mondal, Sujay Mugaloremutt Jayadeva, Rojalin Pani, Muthukumar Subramanian, Ashokkumar. P, B.k. Sumana
    Materials Today Proceedings, 2022
  • Mechanical and Thermal Properties of Bamboo Fiber-Reinforced PLA Polymer Composites: A Critical Study
    K. Nirmal Kumar, P. Dinesh Babu, Raviteja Surakasi, P. Manoj Kumar, P. Ashokkumar, Rashid Khan, Adel Alfozan, Dawit Tafesse Gebreyohannes
    Genetics Research, 2022

RECENT SCHOLAR PUBLICATIONS

  • Prediction of early age compressive strength of concrete using machine learning
    AK Palanisamy, D Jegatheeswaran, C Ananth, A Bhogayata, B Juneja, ...
    Scientific Reports , 2025
    2025
    Citations: 4
  • Graph Neural Networks-Mapped Structural Health Monitoring System for Bridge Safety
    RK Pandey, P Ashokkumar, A Pandey, EVR Rao, G Janani, SK Bohidar
    2025 2nd International Conference on Artificial Intelligence and Knowledge … , 2025
    2025
  • Utilization of Steelmaking By-Products and Aluminum Sludges in Alkali-Activated Materials: A Sustainable Approach for Construction Applications
    K Suresh Kumar, J Srinivas, P Ashokkumar, R Saravanan, V Aravind, ...
    Journal of Physics: Conference Series 3045 (1), 012002 , 2025
    2025
    Citations: 3
  • Development and characterization of PALF-reinforced nanocomposite with polyester and coconut shell nanopowder matrix for advanced applications
    BP D. Gnanasangeetha, P. Ashok Kumar, K. Gopalakrishnan , G. Nixon Samuel ...
    AIP Conference Proceddings 3270 (1) , 2025
    2025
  • Enhancing thermal and mechanical properties of cement mortar using PCM-Encapsulated cellulose nano fiber composites
    W Shanthi, A Thiruppathi, P Ashokkumar, A Kumar, V Barewar, ...
    AIP Conference Proceedings 3270 (1), 020262 , 2025
    2025
  • Exploring The Performance Dynamics of Basalt Fibre Reinforced Polymers: Mechanical and Viscoelastic Insights
    K.T.Anand, K Ch Sekhar, M.Mariappan, R. Vigneswaran, A Chandrashekhar, K ...
    Journal of Polymer and Composites 13 (02), 12-22 , 2025
    2025
  • Utilization of Advanced IoT and High-Performance Computing for Enhanced Agricultural Systems
    AN Arularasan, D Kalaiyarasi, P Ashokkumar, K Suresh, M Rajasekar, ...
    Integrating Artificial Intelligence Into the Energy Sector, 467-492 , 2025
    2025
    Citations: 4
  • Impact of Machine Learning for Predictive Maintenance in the Area of Construction Industry
    RM Batyha, S Gupta, P Ashokkumar, DT Patil, L Debnat, PS Ranjit
    Recent Technological Advances in Engineering and Management, 189-192 , 2024
    2024
  • Environmental Applications of Carbon-based Materials
    J Arun, N Nirmala, SS Dawn
    IGI Global , 2024
    2024
    Citations: 1
  • From Theory to Practice: Implementing Intelligent Systems in Engineering Applications
    RKK C. Aravindan, Rajiv Avacharmal, R. Premkumar, P. Ashokkumar, M. Haribabu
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024
  • Advancements in filtration technologies for air and water pollution control
    AA Gadgil, A Das, P Ashokkumar, N Munjal, JK Periasamy
    Environmental applications of carbon-based materials, 167-195 , 2024
    2024
    Citations: 8
  • An Experimental Approach for Prognosis of Residual Strength of Steel by TCS3200 Color Sensor
    P Ashokkumar, N AP
    Int. J. Innov. Res. Technol.(IJIRT) 10, 1276-1284 , 2023
    2023
    Citations: 1
  • Experimental study of minimum-temperature hydrated salt latent heat thermal energy storage with sodium acetate trihydrate as phase change materials
    R Manikandan, K Gopalakrishnan, P Ashokkumar, P Maheskumar, ...
    E3S web of conferences 455, 02008 , 2023
    2023
    Citations: 19
  • Application of internet of things for structural assessment of concrete structures: approach via experimental study
    D Jegatheeswaran, P Ashokkumar
    Smart structures and systems 31 (1), 1-11 , 2023
    2023
    Citations: 1
  • IMPROVED THERMAL AND MECHANICAL PROPERTIES OF BORON NITRIDE COMPOSITES REINFORCED WITH POLYPROPYLENE TEREPHTHALATE
    P Ashokkumar, R Selvam, S Magibalan, SS Kumar, G Ramesh, ...
    Journal of Pharmaceutical Negative Results, 577-585 , 2022
    2022
  • Advanced IoT Home Automation using ThingSpeak and Google Assistant IoT Platform
    PK Tyagi, R Singh, MK Chakravarthi, P Singh, A Kumar, CR Prasad
    2022 11th International Conference on System Modeling & Advancement in … , 2022
    2022
    Citations: 2
  • Application of Electrical Resistivity Method for Monitoring and Assessment of Cracks in Concrete Structures
    P Ashokkumar, D Jegadeeswaran
    Proceedings of Second International Conference in Mechanical and Energy … , 2022
    2022
  • Experimental Study on Light Weight Geopolymer Concrete Using Expanded Clay Aggregate
    P Ashokkumar, D Jegatheeswaran, V Prabakaran, S Chidambaram
    Proceedings of International Conference on Innovative Technologies for Clean … , 2022
    2022
  • Proceedings of International Conference on Innovative Technologies for Clean and Sustainable Development (ICITCSD–2021)
    VS Kanwar, SK Sharma, C Prakasam
    Springer Nature , 2022
    2022
    Citations: 3
  • Mechanical and thermal properties of bamboo fiber–reinforced PLA polymer composites: a critical study
    K Nirmal Kumar, P Dinesh Babu, R Surakasi, PM Kumar, P Ashokkumar, ...
    International Journal of Polymer Science 2022 (1), 1332157 , 2022
    2022
    Citations: 82

MOST CITED SCHOLAR PUBLICATIONS

  • Mechanical and thermal properties of bamboo fiber–reinforced PLA polymer composites: a critical study
    K Nirmal Kumar, P Dinesh Babu, R Surakasi, PM Kumar, P Ashokkumar, ...
    International Journal of Polymer Science 2022 (1), 1332157 , 2022
    2022
    Citations: 82
  • E marketing strategy in health care using IoT and Machine Learning
    T Mondal, SM Jayadeva, R Pani, M Subramanian, B Sumana
    Materials Today: Proceedings , 2021
    2021
    Citations: 36
  • Experimental study of minimum-temperature hydrated salt latent heat thermal energy storage with sodium acetate trihydrate as phase change materials
    R Manikandan, K Gopalakrishnan, P Ashokkumar, P Maheskumar, ...
    E3S web of conferences 455, 02008 , 2023
    2023
    Citations: 19
  • Advancements in filtration technologies for air and water pollution control
    AA Gadgil, A Das, P Ashokkumar, N Munjal, JK Periasamy
    Environmental applications of carbon-based materials, 167-195 , 2024
    2024
    Citations: 8
  • An experimental study on strength of concrete by using partial replacement of cement with coconut shell ash and coarse aggregate with coconut shell
    P Ashokkumar, MS Keerthivas, D Naveenboobalan, R Pravin
    International Research Journal of Engineering and Technology 6 (1), 1-7 , 2019
    2019
    Citations: 6
  • WITHDRAWN: Internet of things oriented elegant parking method for smart cities
    P Bedi, M Ponnusamy, P Ashokkumar, S Saranya, S Hariharan
    Materials Today: Proceedings , 2021
    2021
    Citations: 5
  • Prediction of early age compressive strength of concrete using machine learning
    AK Palanisamy, D Jegatheeswaran, C Ananth, A Bhogayata, B Juneja, ...
    Scientific Reports , 2025
    2025
    Citations: 4
  • Utilization of Advanced IoT and High-Performance Computing for Enhanced Agricultural Systems
    AN Arularasan, D Kalaiyarasi, P Ashokkumar, K Suresh, M Rajasekar, ...
    Integrating Artificial Intelligence Into the Energy Sector, 467-492 , 2025
    2025
    Citations: 4
  • Utilization of Steelmaking By-Products and Aluminum Sludges in Alkali-Activated Materials: A Sustainable Approach for Construction Applications
    K Suresh Kumar, J Srinivas, P Ashokkumar, R Saravanan, V Aravind, ...
    Journal of Physics: Conference Series 3045 (1), 012002 , 2025
    2025
    Citations: 3
  • Proceedings of International Conference on Innovative Technologies for Clean and Sustainable Development (ICITCSD–2021)
    VS Kanwar, SK Sharma, C Prakasam
    Springer Nature , 2022
    2022
    Citations: 3
  • Advanced IoT Home Automation using ThingSpeak and Google Assistant IoT Platform
    PK Tyagi, R Singh, MK Chakravarthi, P Singh, A Kumar, CR Prasad
    2022 11th International Conference on System Modeling & Advancement in … , 2022
    2022
    Citations: 2
  • Experimental Study on Partial Replacement of Cement by Coconut pith Ash in Concrete
    RS P.Ashok kumar
    International journal of latest Trends in Engineering and Technology 6 (4), 133 , 2016
    2016
    Citations: 2
  • Environmental Applications of Carbon-based Materials
    J Arun, N Nirmala, SS Dawn
    IGI Global , 2024
    2024
    Citations: 1
  • An Experimental Approach for Prognosis of Residual Strength of Steel by TCS3200 Color Sensor
    P Ashokkumar, N AP
    Int. J. Innov. Res. Technol.(IJIRT) 10, 1276-1284 , 2023
    2023
    Citations: 1
  • Application of internet of things for structural assessment of concrete structures: approach via experimental study
    D Jegatheeswaran, P Ashokkumar
    Smart structures and systems 31 (1), 1-11 , 2023
    2023
    Citations: 1
  • Graph Neural Networks-Mapped Structural Health Monitoring System for Bridge Safety
    RK Pandey, P Ashokkumar, A Pandey, EVR Rao, G Janani, SK Bohidar
    2025 2nd International Conference on Artificial Intelligence and Knowledge … , 2025
    2025
  • Development and characterization of PALF-reinforced nanocomposite with polyester and coconut shell nanopowder matrix for advanced applications
    BP D. Gnanasangeetha, P. Ashok Kumar, K. Gopalakrishnan , G. Nixon Samuel ...
    AIP Conference Proceddings 3270 (1) , 2025
    2025
  • Enhancing thermal and mechanical properties of cement mortar using PCM-Encapsulated cellulose nano fiber composites
    W Shanthi, A Thiruppathi, P Ashokkumar, A Kumar, V Barewar, ...
    AIP Conference Proceedings 3270 (1), 020262 , 2025
    2025
  • Exploring The Performance Dynamics of Basalt Fibre Reinforced Polymers: Mechanical and Viscoelastic Insights
    K.T.Anand, K Ch Sekhar, M.Mariappan, R. Vigneswaran, A Chandrashekhar, K ...
    Journal of Polymer and Composites 13 (02), 12-22 , 2025
    2025
  • Impact of Machine Learning for Predictive Maintenance in the Area of Construction Industry
    RM Batyha, S Gupta, P Ashokkumar, DT Patil, L Debnat, PS Ranjit
    Recent Technological Advances in Engineering and Management, 189-192 , 2024
    2024