Vivekanand Kumar | Vibration | Best Researcher Award

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Assist. Prof. Dr. Vivekanand Kumar | Vibration | Best Researcher Award

Sandip University | India

Dr. Vivekanand Kumar is an accomplished academic and researcher specializing in mechanical and mining engineering, with significant contributions to vibration analysis, occupational safety, and heavy machinery operation in industrial environments. He is currently serving as an Assistant Professor at Sandip University, Madhubani, Bihar, India, where he also holds key roles as the University Coordinator for SodhGanga and SodhShuddhi. His professional journey combines a strong foundation in engineering education, extensive research in vibration control and occupational health, and practical industrial experience in thermal power plants and heavy earth-moving machinery operations.

Professional Profile

ORCID

Education

Dr. Kumar holds a doctoral degree in Mining Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi, where his research focused on whole-body vibration and its impact on heavy earth-moving machinery operators in opencast coal mines. He completed his Master of Technology in Fuel Engineering from the Indian Institute of Technology (Indian School of Mines), Dhanbad, with a thesis on quantitative dynamic analysis of shale gas reservoirs. His undergraduate studies in Mechanical Engineering from R.G.P.V., Bhopal, provided the groundwork for his multidisciplinary expertise spanning mining, fuel engineering, and mechanical systems.

Experience

Dr. Kumar’s career integrates academic, research, and industrial experience. In academia, he has taught core mechanical engineering subjects and engineering graphics to undergraduate students, contributing to the development of future engineers. He served as a faculty member at Government Engineering College, Madhubani, before joining Sandip University, where he continues to mentor students and lead research initiatives. His industrial background includes roles in thermal power plant operations and waste heat recovery boiler commissioning, providing him with practical insights into large-scale industrial systems.

Research Interest

His primary research interests revolve around vibration engineering, occupational health and safety, heavy machinery operation, and ergonomic risk assessment in industrial and mining sectors. Dr. Kumar has authored several peer-reviewed journal articles and conference papers focusing on whole-body vibration exposure, musculoskeletal health risks of operators, and adaptive vibration damping technologies. His research also extends to smart composite materials, Bayesian network-based risk assessment approaches, and the analysis of shale gas reservoirs for energy resource evaluation.

Awards

Throughout his academic journey, Dr. Kumar has been recognized with multiple fellowships and awards that supported his research and higher education. He received prestigious fellowships from the Ministry of Human Resource Development (MHRD) during his postgraduate and doctoral studies, enabling him to advance his expertise in mining engineering and vibration control technologies.

Publications

Kumar, V. (2025). “Design and Analysis of Smart Composite Materials for Active Vibration Damping and Adaptive Control in Aerospace and Automotive Structures” in Journal of Vibration Engineering and Technologies.

Kumar, V., Palei, S.K., & Karmakar, N.C. (2025). “Discomfort Survey of Dumper Operators Exposed to Whole-Body Vibration in Opencast Coal Mines” in Journal of Vibration and Control.

Chaudhary, D.K., Palei, S.K., Kumar, V., & Karmakar, N.C. (2022). “Whole-Body Vibration Exposure of Heavy Earthmoving Machinery Operators in Surface Coal Mines: A Comparative Assessment of Transport and Non-Transport Earthmoving Equipment Operators” in International Journal of Occupational Safety and Ergonomics.

Kumar, V., Palei, S.K., Karmakar, N.C., & Chaudhary, D.K. (2022). “Whole-Body Vibration Exposure vis-à-vis Musculoskeletal Health Risk of Dumper Operators Compared to a Control Group in Coal Mines” in Safety and Health at Work.

Atal, M.K., Palei, S.K., Chaudhary, D.K., Kumar, V., & Karmakar, N.C. (2020). “Occupational Exposure of Dumper Operators to Whole-Body Vibration in Opencast Coal Mines: An Approach for Risk Assessment Using a Bayesian Network” in International Journal of Occupational Safety and Ergonomics.

Conclusion

Dr. Vivekanand Kumar exemplifies a well-rounded professional with a strong commitment to advancing research and education in the fields of mechanical and mining engineering. His blend of academic rigor, research contributions, and industrial experience positions him as a valuable contributor to occupational safety, vibration analysis, and engineering education. His work not only addresses key industrial challenges but also aligns with sustainable and safer practices in mining and heavy machinery operations, making a meaningful impact on both academia and industry.

Hugo Hervé-Côte – Machine Learning and AI Applications – Best Researcher Award 

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Mr. Hugo Hervé-Côte - Machine Learning and AI Applications - Best Researcher Award 

Ecole de Technologie Supérieure - Canada 

Author Profile

Early Academic Pursuits

Mr. Hugo Hervé-Côté embarked on his academic journey with a strong foundation in mechanical and industrial engineering. He began his education at the prestigious Ecole Nationale Supérieure des Arts et Métiers (ENSAM) in Angers, France, where he pursued a Diploma in Mechanical, Industrial, and Energy Engineering. During his time at ENSAM, from September 2019 to July 2021, Hugo honed his expertise in various engineering disciplines, setting the stage for his future endeavors in artificial intelligence and machine learning.

Following his graduation from ENSAM, Hugo continued to build on his technical knowledge and skills by pursuing a Master's degree in Automated Production Engineering (M.Sc.A) at the Ecole de Technologie Supérieure (ETS) in Montreal, Canada. From September 2021 to December 2023, he delved deeper into advanced engineering concepts and specialized in machine learning and computer vision. This dual-degree experience equipped him with a robust academic background and practical skills, making him a versatile engineer ready to tackle complex challenges in the industry.

Professional Endeavors

Mr. Hugo's professional journey has been marked by significant contributions to the fields of non-destructive testing (NDT) and industrial inspection. His career began with a notable role as an Artificial Intelligence Engineer at EddyFi Technologies in Quebec, Canada, from December 2023 to March 2024. In this position, Hugo focused on the development and implementation of machine learning models for analyzing eddy current images in non-destructive testing. He was instrumental in creating a user-friendly interface for visualizing and labeling complex magnetic data, and he developed a comprehensive data pipeline for training, validating, and testing machine learning models. His work culminated in a proof of concept that demonstrated the effectiveness of these models in real-world applications.

Prior to his role at EddyFi Technologies, Hugo gained valuable experience as a Student Researcher in Ultrasonic Inspection using Machine Learning at ETS and in collaboration with Nucleom. From September 2021 to December 2023, he worked on detecting defects in ultrasonic images, developing a standardized database for ultrasonic imaging, and addressing industrial challenges through regular project progress meetings with Nucleom and EddyFi. His efforts contributed to the advancement of ultrasonic inspection techniques and the integration of machine learning in this domain.

Contributions and Research Focus

Mr. Hugo's research focus has been centered on the application of machine learning and artificial intelligence in non-destructive testing and industrial inspection. His master's thesis involved the development of a tool for analyzing ultrasonic images using machine learning. This project, conducted from September 2021 to December 2023, included the acquisition of defect data from welds using Full Matrix Capture (FMC) and the development of algorithms for image reconstruction and defect detection. Hugo also created a significant labeled database of over 100,000 images, which served as a foundation for training deep learning models. His work was presented at conferences such as OnDuty in Windsor, ON (2022) and Toronto, ON (2023), and was published in the scientific journal Ultrasonics.

Hugo's research contributions extend to developing post-processors for CNC machines and designing cryogenic tool mounts. His projects have involved the practical application of engineering principles to solve real-world problems, demonstrating his ability to bridge the gap between theory and practice.

Accolades and Recognition

Mr. Hugo Hervé-Côté's work has been recognized both academically and professionally. His publication in Ultrasonics, titled "Automatic flaw detection in sectoral scans using machine learning," has garnered attention in the scientific community, showcasing his expertise in applying advanced technologies to improve industrial inspection processes. This publication is a testament to his dedication to research and innovation in the field of non-destructive testing.

Throughout his academic and professional career, Hugo has demonstrated excellence in his field, earning the respect of his peers and supervisors. His involvement in various projects and his ability to present his findings at conferences highlight his commitment to advancing knowledge and contributing to the engineering community.

Impact and Influence

Mr. Hugo's work has had a significant impact on the field of non-destructive testing and industrial inspection. By integrating machine learning techniques into traditional inspection methods, he has contributed to the development of more accurate and efficient defect detection processes. His research on ultrasonic imaging and eddy current testing has the potential to revolutionize how industries approach quality control and maintenance, leading to safer and more reliable infrastructure.

Hugo's contributions have also influenced the development of standardized databases and formats for storing and analyzing inspection data, facilitating collaboration and knowledge sharing among researchers and industry professionals. His efforts to create user-friendly interfaces and data pipelines have made advanced technologies more accessible to engineers and technicians, promoting the adoption of machine learning in industrial applications.

Legacy and Future Contributions

Mr. Hugo Hervé-Côté's legacy lies in his innovative approach to solving complex engineering problems through the application of machine learning and artificial intelligence. His work has paved the way for future advancements in non-destructive testing and industrial inspection, setting a high standard for integrating cutting-edge technologies into practical applications.

Looking ahead, Hugo's future contributions are likely to continue shaping the field of engineering. His strong foundation in mechanical and industrial engineering, combined with his expertise in artificial intelligence, positions him as a leader in the development of next-generation inspection techniques. As industries increasingly rely on data-driven solutions, Hugo's work will remain at the forefront of technological innovation, driving progress and improving safety and efficiency across various sectors.

Notable Publication