VALAI GANESH S

@ritrjpm.ac.in

Assistant Professor and Department of Mechanical Engineering
Ramco Institute of Technology

https://researchid.co/valaiganesh

RESEARCH INTERESTS

Robotics
Mechatronics
Automation
Artificial Intelligence
Machine Learning

Scopus Publications

Scholar Citations

Scholar h-index

Scopus Publications

Transforming student assessments in the era of machine learning: Balancing innovation and ethics
S. Valai Ganesh, V. Suresh, S. Rajakarunakaran, L. Ganesan, and V. Suryakumar
IGI Global
Machine learning algorithms are now being used to improve personalised student assessments in higher education. This chapter examines the benefits and ethical considerations of using these algorithms to develop personalised and customised testing experiences. Through the analysis of vast datasets, machine learning algorithms may offer useful insights into student progress and identify specific areas that require work. This allows educators to customise their teaching methods to meet the individual needs of each student. Nevertheless, the implementation of these technologies gives rise to ethical considerations pertaining to privacy, bias, and openness. This chapter examines the difficulties associated with machine learning in personalised student assessments and proposes creative methods to ensure fair and responsible use. The objective of the discussion is to find a middle ground between utilising the potential advantages of these algorithms and upholding ethical principles, thereby promoting a more efficient and inclusive learning environment in higher education.

Innovative solid waste management strategies for smart cities in Tamil Nadu: challenges, technological solutions, and sustainable prospects
S. Valai Ganesh, V. Suresh, S. Godwin Barnabas, and S. Rajakarunakaran
Springer Science and Business Media LLC

Building smart bot designs for library assistance

A critical analysis and prediction of heat transfer and flow characteristics in the sudden expansion channel with square block using machine learning
Murugashri V, Balavignesh P, Rahul P, Ramanathan Seranthian, and Valai Ganesh S.
Informa UK Limited

A review on implementation of Kanban system in various process industries
Godwin Barnabas Solomon, Sridharan Surendran, Ragul Ramesh, Valai Ganesh Sankararamasubramanian, Satish Pandian Ganapathy, and Prasad Deivendran
AIP Publishing

APPLICATION of DECISION-MAKING ALGORITHMS in the LANDFILL SITE SELECTION
Godwin Barnabas, Arun Vasantha Geethan, Valai Ganesh, MKV Karthikeyan, and Chrispin Das
OAIMDD - EcoZone Publishing House

Role of Modern Technologies and Internet of Things in the Field of Solid Waste Management
S.Godwin Barnabas, K.Arun vasantha Geethan, S.Valai Ganesh, S. Rajakarunakaran, and P.Sabarish Kumar
Agora University of Oradea
The process of handling solid waste becomes complex and tedious due to the urbanization and industrialization of the most developing and developed countries. These solid waste issues if it is not addressed properly it affects ecosystem and environment. There is a possibility of many health-oriented issues especially during the pandemic period covid-19. Most of the human beings are struggling with respiratory pulmonary diseases, asthma caused by these solid wastes. Most of the governments are also spending huge amount of money for labors, devices and some technologies to tackle these solid waste issues. There is also an opportunity for the government to generate revenue from these solid wastes by properly sorting these waste into recyclable, nonrecyclable and bio-degradable wastes. But when humans are involved in sorting these waste it will cause some diseases and hygienic problems. So,in order to address the above said issues in this work the role of modern technologies, algorithms and some Internet of things (IoT) methods are discussed. Implementing these technologies in the future will save huge amount of money spent by the government for the solid waste management activities.

Development of medical physio device for stroke patients
S. Godwin Barnabas, S. Valai Ganesh, V. Sivakumar, P. Muthukumar, A. Dhinesh Raja, and K. Hariharan
Elsevier BV
Abstract Physiotherapy may be a technique for relaxing the stresses in muscles in several parts of the body. This system needs the physiotherapist supervision and a daily visit to the hospitals to be at this system we came with an answer by using simple mechanisms like slider crank mechanism, wiper and rack and pinion mechanism. With the assistance of simple robot, physio treatment is completed automatically and maybe done reception with none assistance. Moreover, Home traction devices have also meant that patients once advised by the therapist regarding the weights and duration of traction treatment are ready to apply traction themselves.

Static and dynamic activities prediction of human using machine and deep learning models
S. Valai Ganesh, Mohit Agarwal, Suneet Kr. Gupta, and S. Rajakarunakaran
Springer Singapore
Recent advancement in smart phones and computing technologies has played a vital role in people’s life. Develop a model to detect the human basic dynamic activities such as Amble, Climb stairs, coming down the stairs into the floor and human basic static activities like Sitting, Standing or Laying using the person’s smart phone and computers are the major work of this paper. Conventional Machine learning models like Logistic Regression, SVC, Decision tree, etc. results are compared with a recurrent deep neural network model named as Long Short Term Memory (LSTM). LSTM is proposed to detect the human behavior based on Human Activity Recognition (HAR) dataset. The data is monitored and recorded with the aid of sensors like accelerometer and Gyroscope in the user smart phone. HAR dataset is collected from 30 persons, performing different activities with a smart phone to their waists. The testing of the model is evaluated with respect to accuracy and efficiency. The designed activity recognition system can be manipulated in other activities like predicting abnormal human actions, disease by human actions, etc. The overall accuracy has improved to 95.40%.

Development of self governed flashing system in automotives using AI technique
N. Sankarachelliah, V. Rijith Kumar, P. Senthilram, S. Valai Ganesh, T. Selva Sundar, S. Godwin Barnabas, and S. Rajakarunakaran
Springer Singapore
Developing an intelligence system to automatically turn ON or OFF the indicator in automotive (particularly four wheeler) by drawing input from sensors. Almost 50% of drivers failing to use indicators while changing lanes or overtake a vehicle. This leads to vehicle accidents and may cause some serious issues. The proposed system comprises of a steering angle sensor, optical sensor for vehicle detecting and tracking and also incorporates open CV (AI tool) for lane detection and this system is adaptable to the current situation.

RECENT SCHOLAR PUBLICATIONS

Adaptive Learning Technologies: Navigating the Road from Hype to Reality
BB S. Valai Ganesh, M. Gomathy Nayagam, V. Suresh, S. Rajakarunakaran
Multimodal Generative AI, 79-113 2025

systems for manufacturing, robotics, and automation
SV Ganesh, V Suresh, SG Barnabas
Mechatronics: Concepts, Tools, Applications, and New Trends, 116 2025

COMMERCIALIZATION OF WASTE TYRE USING A SIMPLE RECYCLING PROCESS
SVG Godwin Barnabas, Arun Vasantha Geethan
Environmental Engineering and Management Journal 24 (1), 63-77 2025

Transforming Student Assessments in the Era of Machine Learning: Balancing Innovation and Ethics
SV Ganesh, V Suresh, S Rajakarunakaran, L Ganesan, V Suryakumar
Driving Quality Education Through AI and Data Science, 383-408 2025

Innovative solid waste management strategies for smart cities in Tamil Nadu: challenges, technological solutions, and sustainable prospects
SV Ganesh, V Suresh, SG Barnabas, S Rajakarunakaran
Discover Applied Sciences 6 (12), 1-18 2024

Predictive Analysis and Data-Driven Approaches for Developing Sustainable Municipal Solid Waste Management Strategies in Smart Cities: A Case Study of Madurai
SV Ganesh, V Suresh, SG Barnabas
2024

Building Smart Bot Designs for Library Assistance
SV Ganesh, V Suresh, SG Barnabas, S Rajakarunakaran
Robotics and Automation in Healthcare, 21-44 2024

A Critical Analysis and Prediction of Heat Transfer and Flow Characteristics in the Sudden Expansion Channel with Square Block Using Machine Learning
VGS V Murugashri, Balavignesh P, Rahul P, Ramanathan Seranthian
Numerical Heat Transfer, Part B: Fundamentals, 1-25 2024

Discover Applied Sciences
SV Ganesh, V Suresh, SG Barnabas, S Rajakarunakaran
2024

A review on implementation of kanban system in various process industries
GB Solomon, S Surendran, R Ramesh, VG Sankararamasubramanian, ...
AIP Conference Proceedings 2831 (1) 2023

APPLICATION OF DECISION-MAKING ALGORITHMS IN THE LANDFILL SITE SELECTION.
GS Barnabas, AV Geethan, VS Ganesh, MKV Karthikeyan, CM Das
Environmental Engineering & Management Journal (EEMJ) 22 (9) 2023

VITAL ROLE OF RECENT TECHNOLOGIES IN SORTING DIFFERENT SOLID WASTE MATERIALS IN RECYCLING PROCESS
AVG Kathiresan, GB Solomon, VG Sankararamasubramanian, ...
FEB-FRESENIUS ENVIRONMENTAL BULLETIN, 5271 2022

Obtaining the zero landfill for End of Life of automotive components using efficient recycling and reusing approach
KAV Geethan, SG Barnabas, VA Suyamburajan, SV Ganesh
Feb-Fresenius Environmental Bulletin, 9821 2022

Role of modern technologies and internet of things in the field of solid waste management
SG Barnabas, KA vasantha Geethan, SV Ganesh, S Rajakarunakaran, ...
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL 16 (5) 2021

Development of Self Governed Flashing System in Automotives Using AI
TS Sundar, SG Barnabas, S Rajakarunakaran
Innovations in Computer Science and Engineering: Proceedings of 8th ICICSE 2021

Degree Branch/Specialization Institute/University
BIO DATA
Journal of Huazhong University of Science and Technology (Scopus indexed) 50 2021

Semantic techniques to support IoT interoperability
B Di Martino, A Esposito
Semantic IoT: Theory and Applications: Interoperability, Provenance and 2021

Facilitation of Automation in The Physio Treatment Devices for Stroke Patients
MAV Dr.S.Godwin Barnabas, Mr.K.Arun vasantha Geethan Mr.S.Valai Ganesh, Dr.S ...
Journal of Huazhong University of Science and Technology 50 (06) 2021

Development of Self Governed Flashing System in Automotives Using AI Technique
N Sankarachelliah, V Rijith Kumar, P Senthilram, S Valai Ganesh, ...
Innovations in Computer Science and Engineering: Proceedings of 8th ICICSE 2021

Static and dynamic activities prediction of human using machine and deep learning models
S Valai Ganesh, M Agarwal, SK Gupta, S Rajakarunakaran
Innovations in Computer Science and Engineering: Proceedings of 8th ICICSE, 1-7 2021

MOST CITED SCHOLAR PUBLICATIONS

Semantic techniques to support IoT interoperability
B Di Martino, A Esposito
Semantic IoT: Theory and Applications: Interoperability, Provenance and 2021
Citations: 6

A review on implementation of kanban system in various process industries
GB Solomon, S Surendran, R Ramesh, VG Sankararamasubramanian, ...
AIP Conference Proceedings 2831 (1) 2023
Citations: 1

Design and Development of Pneumatic Articulated Robot For Palletizing Operations
B Ramkumar, K Venkatesh, R Ramesh, SV Ganesh
International Journal of Emerging Technology in Computer Science
Citations: 1