Eddy Chevallier | Engineering | Best Researcher Award

Dr. Eddy Chevallier | Engineering | Best Researcher Award

LAMIH – UPHF/CNRS 8201 | France

Dr. Eddy Chevallier is a distinguished researcher in Engineering Sciences, specializing in electromechanical systems that utilize static or dynamic electrical contact as a channel for information or power transmission. Currently serving as an Ingénieur de Recherche at the LAMIH Laboratory (UMR CNRS 8201, UPHF) in Famars, France, he focuses on understanding how surface topography influences multi-physical phenomena occurring at interfaces. His work spans electrical, thermal, and mechanical properties, integrating experimental measurement, numerical programming, and theoretical modeling to advance industrial applications that rely on surface-dependent interactions. His research aims to identify and quantify the relationships between topographic parameters and functional surface behavior, enabling the development of hybrid methodologies for optimizing surface designs based on precise performance requirements. Dr. Chevallier is qualified in the French national academic sections 28 (Physics of Materials), 60 (Mechanics), and 63 (Electrical Engineering), reflecting the interdisciplinary breadth of his expertise. He earned his Doctorate in 2014 from the Université de Picardie Jules Verne, where his thesis, supervised by Jérôme Fartin and co-advised by Robert Rouzereau and Valéry Bourny, focused on defining quality indices for metallic sliding contact using electrical signatures of surface condition. His doctoral work received the distinction of “Très Honorable.” He also holds a Master’s degree in physical characterization and modeling of complex materials from the same institution. Dr. Chevallier has contributed to leading scientific journals such as Tribology International, Journal of Tribology, Journal of Applied Physics, and has presented his work at numerous international and national conferences, reinforcing his role as a key contributor to tribology and electromechanical interface research.

Profile: Google Scholar

Featured Publications

Chevallier, E., Bourny, V., Bouzerar, R., Fortin, J., Durand-Drouhin, O., & others. (2014). Voltage noise across a metal/metal sliding contact as a probe of the surface state. Journal of Applied Physics, 115(15).

Chevallier, E. (2014). Définition d’indices de qualité du contact glissant métallique: Signatures électriques de l’état de surface (Doctoral dissertation, Université de Picardie Jules Verne). Université de Picardie Jules Verne.

Chevallier, E. (2020). Mechanical model of the electrical response from a ring–wire sliding contact. Tribology Transactions, 63(2), 215–221.

Jonckheere, B., Bouzerar, R., Bourny, V., Bausseron, T., Foy, N., & Chevallier, E. (2017). Assessment of the real contact area of a multi-contact interface from electrical measurements. In 23ème Congrès Français de Mécanique (CFM), France.

Guessasma, M., Bourny, V., Haddad, H., Machado, C., Chevallier, E., Tekaya, A., & others. (2018). Multi-scale and multi-physics modeling of the contact interface using DEM and coupled DEM-FEM approach. In Advances in Multi-Physics and Multi-Scale Couplings in Geo-Environmental Engineering.

Srikanth Nandoori | Engineering | Best Researcher Award

Dr. Srikanth Nandoori | Engineering | Best Researcher Award

Anurag University | India

Dr. Nandoori Srikanth is an accomplished academician and training strategist with over eleven years of combined experience in teaching, training, placements, and industry engagement. He holds a Ph.D. in Wireless Communications from KL University, where his research focused on developing energy-efficient cluster-based routing protocols to enhance the lifetime and performance of Wireless Sensor Networks. His academic background spans VLSI System Design at the postgraduate level and Electronics & Communication Engineering at both graduation and diploma levels, forming a strong foundation for his technical expertise. Throughout his career, Dr. Srikanth has contributed significantly to engineering education through his roles as Associate Professor, Assistant Professor, Placement Coordinator, Training & Placement Officer, and currently as Dean of Placements at St. Peter’s Engineering College. His leadership has strengthened institutional-industry collaboration, resulting in the establishment of multiple Centers of Excellence with global organizations such as Microsoft, IDS Blockchain, Movate, and Juniper Networks. He has also led the signing of key MoUs with Google Cloud, Infosys Springboard, Eduskills, Internshala, and several emerging technology firms, enabling students to access high-value skilling, internship, and hiring opportunities. Dr. Srikanth’s efforts in fostering employability have earned him prestigious recognitions, including the All-India 4th Rank and State 2nd Rank in Internshala Rankings, the Best SPOC Award from Eduskills (received three times), and commendations for promoting Google Cloud certifications. Additionally, he holds professional certifications in Google Cloud Associate, ServiceNow, and Microsoft Azure Fundamentals. His work reflects a deep commitment to academic excellence, student development, and innovation-driven education.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Srikanth, N., & Prasad, M. S. G. (2018). Efficient clustering protocol using fuzzy K-means and midpoint algorithm for lifetime improvement in WSNs. International Journal of Intelligent Engineering and Systems, 11(4), 61–71.

Srikanth, N., & Prasad, M. S. (2019). Energy efficient trust node based routing protocol (EETRP) to maximize the lifetime of wireless sensor networks in plateaus. International Journal of Online & Biomedical Engineering, 15(6).

Srikanth, N., & Prasad, M. S. G. (2019). A compressive family based efficient trust routing protocol (C-FETRP) for maximizing the lifetime of WSN. In Data Communication and Networks: Proceedings of GUCON 2019 (pp. 69–80).

Srikanth, N., & Prasad, M. S. G. (2019). Family based efficient routing protocol (FERP) for lifetime improvement in heterogeneous wireless sensor networks. Journal of Advanced Research in Dynamical and Control Systems, 11(6), 131–140.

Sangari, M. S., Thangaraj, K., Vanitha, U., Srikanth, N., Sathyamoorthy, J., … (2023). Deep learning-based object detection in underwater communications system. In 2023 Second International Conference on Electrical, Electronics, Information and Communication Technology.

Yuxiang Tian | Engineering | Best Researcher Award

Mr. Yuxiang Tian | Engineering | Best Researcher Award

China Three Gorges University | China

Yuxiang Tian, born on May 20, 2002, is an emerging researcher and engineer specializing in mechanical design, manufacturing, and automation. He earned his Bachelor of Engineering degree from China Three Gorges University in June 2024, with a strong academic performance. During his undergraduate studies, he demonstrated an exceptional ability to merge theoretical knowledge with practical applications, particularly in the fields of structural optimization, dynamic detection systems, and intelligent automation. Tian has actively participated in significant research projects, including the structural design and optimization of egg carriers for dynamic egg slit detection platforms and the development of robotic systems for lithium battery disassembly. His research contributions have resulted in multiple publications in reputable journals such as PLOS ONE and Aerospace Science and Technology. He also holds a patent related to automated bolt and nut disassembly systems, reflecting his innovative approach to solving real-world engineering challenges. Beyond research, Tian has gained professional experience through internships at DHC Software Co., Ltd., where he supported mechanical design, finite element analysis, and technical documentation. His active involvement in national competitions, such as the “Challenge Cup” and “Internet+” contests, earned him awards at both college and provincial levels. Tian has presented his work at international conferences on digital twins, applied mathematics, and industrial big data, further expanding his academic network. With strong technical expertise in SolidWorks, ANSYS, MATLAB, and Plant Simulation, alongside creative interests in music, photography, and basketball, Tian exemplifies a well-rounded young researcher committed to innovation and academic excellence.

Profiles: Scopus | Orcid

Featured Publications

Tian, Y. (2026). Locally optimal aerodynamic shape design for stratospheric airships: A GA-driven MDO framework with CAD/CFD validation. Aerospace Science and Technology.

Meng, R., Narayan, S., Tian, Y., & Huang, S. (2025). Structural design and optimization of egg carrier for dynamic egg slit detection platforms. PLOS ONE.