Mr. Wang Yajun | Engineering | Best Researcher Award

Mr. Wang Yajun | Engineering | Best Researcher Award

Associate Professor at University of South China, China

Mr. Wang Yajun has contributed extensively to engineering education and research, showing strong leadership in robotics engineering. His dedication to engineering projects has shaped curriculum development, guided student competitions, and driven academic progress in robotics engineering programs. He has actively participated in engineering innovation, departmental development, and institutional growth. His engineering vision involves nurturing young scholars, integrating advanced technologies, and improving teaching standards. With continuous engagement in engineering challenges, he promotes academic excellence, collaboration, and sustainable progress. His engineering background supports his mission to advance both education and practical application, ensuring future leaders benefit from structured knowledge in robotics engineering fields.

Professional Profile

Scopus Profile 

Education 

Mr. Wang Yajun’s engineering education reflects a robust academic foundation across multiple institutions. He holds degrees in mechanical engineering, mechanical design, manufacturing, and automation, complemented by expertise in mechanical and electronic engineering. His advanced training in engineering has been instrumental in shaping his ability to lead robotics engineering programs effectively. Through his engineering education, he developed interdisciplinary knowledge bridging mechanical systems, automation processes, and robotics engineering principles. His academic exposure to diverse engineering specializations enables him to integrate theoretical learning with practical problem-solving. This comprehensive engineering background empowers him to contribute both as a researcher and as a mentor in modern robotics engineering development.

Experience 

Mr. Wang Yajun has accumulated significant professional engineering experience in academic and industrial environments. Serving as a director of robotics engineering, he has overseen engineering curricula, laboratory establishment, and advanced engineering research initiatives. His leadership in engineering education has guided teams through national competitions, yielding top awards. He has actively participated in engineering project management, faculty recruitment, and evaluation processes for robotics engineering accreditation. His engineering responsibilities include mentoring doctoral candidates, coordinating interdisciplinary engineering efforts, and enhancing institutional capabilities. Through years of engineering-driven administrative and teaching roles, he has strengthened organizational performance and advanced the robotics engineering discipline across educational platforms and applied research sectors.

Research Interest 

Mr. Wang Yajun’s engineering research interests lie in robotics engineering, mechanical automation, and intelligent systems integration. His work bridges engineering innovation with educational development, focusing on advancing robotics engineering curricula and practical research outcomes. He emphasizes projects combining mechanical engineering design, intelligent control, and automated systems, creating impactful engineering solutions. His research encourages collaborative engineering approaches, addressing complex automation challenges and fostering real-world engineering applications. By aligning engineering innovation with student development, he integrates academic research with industrial needs. His ongoing engineering exploration continues to enhance robotics engineering knowledge, strengthen applied research directions, and contribute significantly to technological advancements in the field.

Award and Honor

Mr. Wang Yajun has earned numerous engineering awards and honors for his outstanding contributions. Recognized as an excellent instructor and teacher, he has guided engineering students to achieve prestigious robotics competition prizes at national levels. His dedication to engineering education has resulted in honors highlighting his leadership, innovation, and commitment to robotics engineering excellence. His achievements include recognitions for academic instruction, departmental development, and professional engineering mentorship. These awards reflect his sustained contributions to engineering education, institutional growth, and collaborative progress in robotics engineering. They stand as a testament to his continued pursuit of engineering advancement, academic distinction, and innovation within the robotics engineering discipline.

Research Skill

Mr. Wang Yajun’s engineering research skills encompass advanced robotics engineering development, interdisciplinary automation systems, and academic program innovation. He demonstrates proficiency in designing and executing engineering projects that integrate theory and application effectively. His engineering capabilities include leading research groups, mentoring doctoral candidates, and managing large-scale academic initiatives. Skilled in securing engineering funding, he contributes to national and provincial projects in robotics engineering. His analytical, technical, and leadership skills empower him to produce significant research outputs, including publications and patents. His engineering expertise continuously advances the robotics engineering field, supporting institutional excellence and the creation of innovative engineering solutions aligned with educational and industrial progress.

Publication Top Notes 

Title: Enhancing the oxygen evolution reaction performance of pyrochlore oxide through amorphous/crystalline heterostructure engineering

Journal: Journal of Power Sources

Citations: 5

Year: 2025

Title: AHMOT: Adaptive Kalman Filtering and Hierarchical Data Association for 3-D Multiobject Tracking in IoT-Enabled Autonomous Vehicles

Journal: IEEE Internet of Things Journal

Citations: 0

Year: 2025

Conclusion

Mr. Wang Yajun stands as a leader in robotics engineering education, research, and innovation. His engineering achievements demonstrate a consistent commitment to advancing knowledge, fostering student excellence, and integrating academic rigor with practical applications. By promoting engineering collaboration, driving curriculum innovation, and mentoring future experts, he has enhanced institutional capacity and robotics engineering visibility. His professional journey reflects a balance of teaching, research, and leadership within the engineering domain. His engineering dedication ensures continuous contributions to academic and industrial sectors, positioning him as a respected figure whose efforts shape the evolving future of robotics engineering while inspiring sustainable technological and educational advancement.

Dr. P. Senthil | Engineering | Best Researcher Award

Dr. P. Senthil | Engineering | Best Researcher Award

Associate Professor at National Institute of Technology, India

Dr. P. Senthil, a distinguished figure in Engineering, is an Associate Professor at the National Institute of Technology, Tiruchirappalli. His contributions to Engineering education, research, and innovation showcase his commitment to academic excellence. Engineering has been the foundation of his career, shaping his work in production Engineering, manufacturing processes, and design optimization. His vision for Engineering advances includes bridging academic research with industry requirements. Dr. P. Senthil continues to inspire students and peers with his Engineering-focused teaching, mentoring, and problem-solving abilities. His research in Engineering extends to rapid prototyping, computer-aided design, and modeling optimization, making him a valuable resource in modern Engineering development across both theoretical and applied dimensions.

Professional Profile

Google Scholar Profile | Scopus Profile 

Education 

Dr. P. Senthil’s academic foundation in Engineering is built on diverse and rigorous qualifications. He earned his Ph.D. from the National Institute of Technology, Tiruchirappalli, specializing in advanced Engineering research. His M.E. in Computer-Aided Design from Anna University expanded his knowledge in applied Engineering design. A PGD-PE in Plastics Engineering from CIPET further enriched his Engineering expertise, while his B.E. in Mechanical Engineering from the University of Madras solidified his core Engineering concepts. This structured Engineering education empowered him to connect interdisciplinary technologies with real-world challenges. His educational path emphasizes the depth and breadth of Engineering, preparing him to guide students in solving complex Engineering problems with innovative, practical, and sustainable solutions aligned with modern industrial needs.

Experience 

Dr. P. Senthil has extensive professional experience in Engineering, primarily within academia at the National Institute of Technology, Tiruchirappalli. As an Associate Professor in the Production Engineering department, his role involves teaching, research, and curriculum development with a strong Engineering focus. His work emphasizes the integration of Engineering principles into practical solutions for manufacturing industries. Engineering forms the basis of his involvement in sponsored projects, including optimizing lightweight structures and analyzing machinability of high-strength composites. His academic service also includes supervising Engineering research scholars and guiding innovative design projects. This Engineering-rich professional journey reflects his dedication to improving educational quality and fostering industry-relevant Engineering skills among future professionals through comprehensive academic and applied contributions.

Research Interest 

Dr. P. Senthil’s research interest lies in exploring advanced Engineering solutions for modern industrial challenges. His focus includes rapid prototyping, tooling, and manufacturing, offering significant Engineering innovation for production optimization. He investigates metal cutting processes and their Engineering implications for efficiency and precision. Modeling and optimization of manufacturing processes further highlight his Engineering-oriented analytical approach. Computer-aided design (CAD) integration represents another pillar of his Engineering research, connecting virtual modeling to real-world applications. These diverse yet interconnected Engineering interests aim to enhance productivity, reduce costs, and support sustainable practices in manufacturing sectors. Through collaborative Engineering research, Dr. P. Senthil contributes to bridging academic theories with industrial applications, shaping the next generation of Engineering technologies and solutions.

Award and Honor

Dr. P. Senthil has received recognition in the Engineering academic community through sponsored research projects and institutional appreciation. His Engineering expertise earned him opportunities to lead high-value projects funded by government and industry, highlighting trust in his Engineering capabilities. Notable works include structural weight optimization and machinability analysis, reflecting practical Engineering impact. Awards and honors in Engineering emphasize his dedication to quality teaching, innovative research, and professional leadership. His involvement in professional Engineering societies further underlines his academic standing. Such acknowledgments celebrate his Engineering-driven contributions that combine technical depth with applicability, demonstrating the positive influence of his efforts on students, peers, industries, and the broader Engineering educational landscape across national and international platforms.

Research Skill

Dr. P. Senthil possesses extensive research skills that advance Engineering knowledge and practice. His expertise in rapid prototyping reflects his Engineering problem-solving capacity, enabling faster product development cycles. Skills in tooling, manufacturing optimization, and CAD highlight his Engineering versatility, supporting both academic projects and industrial solutions. He applies modeling techniques to enhance Engineering processes, ensuring precision and efficiency. His ability to guide research students demonstrates his skill in translating Engineering concepts into innovative, publishable work. Additionally, his capability to secure and manage sponsored projects shows proficiency in aligning Engineering research with industry needs. These Engineering-centered skills contribute to the continuous evolution of production systems, design strategies, and practical solutions in modern Engineering contexts.

Publication Top Notes 

Title: A review on composite materials and process parameters optimisation for the fused deposition modelling process
Authors: N Mohan, P Senthil, S Vinodh, N Jayanth
Journal: Virtual and Physical Prototyping

Title: A review on advancements in applications of fused deposition modelling process
Authors: T Sathies, P Senthil, MS Anoop
Journal: Rapid Prototyping Journal

Title: Effect of chemical treatment on tensile strength and surface roughness of 3D-printed ABS using the FDM process
Authors: N Jayanth, P Senthil, C Prakash
Journal: Virtual and Physical Prototyping

Title: An investigation to study the combined effect of different infill pattern and infill density on the impact strength of 3D printed polylactic acid parts
Authors: PK Mishra, P Senthil, S Adarsh, MS Anoop
Journal: Composites Communications

Title: Parametric optimisation of EDM on Al-Cu/TiB2 in-situ metal matrix composites using TOPSIS method
Authors: P Senthil, S Vinodh, AK Singh
Journal: International Journal of Machining and Machinability of Materials

Title: Prediction of in-plane stiffness of multi-material 3D printed laminate parts fabricated by FDM process using CLT and its mechanical behaviour under tensile load
Authors: PK Mishra, P Senthil
Journal: Materials Today Communications

Title: Performance of surface textured tools during machining of Al-Cu/TiB2 composite
Authors: D Arulkirubakaran, V Senthilkumar, VL Chilamwar, P Senthil
Journal: Measurement

Title: Application of 3D printed ABS based conductive carbon black composite sensor in void fraction measurement
Authors: N Jayanth, P Senthil
Journal: Composites Part B: Engineering

Title: Optimization on turning parameters of 15-5PH stainless steel using Taguchi based grey approach and Topsis
Authors: D Palanisamy, P Senthil
Journal: Archive of Mechanical Engineering

Title: Multicriteria group decision making for the third party reverse logistics service provider in the supply chain model using fuzzy TOPSIS for transportation services
Authors: G Kannan, P Murugesan, P Senthil, A Noorul Haq
Journal: International Journal of Services Technology and Management

Title: Influence of turning parameters on the machinability of homogenized Al–Cu/TiB2 in situ metal matrix composites
Authors: P Senthil, T Selvaraj, K Sivaprasad
Journal: The International Journal of Advanced Manufacturing Technology

Title: The effect of aging on machinability of 15Cr-5Ni precipitation hardened stainless steel
Authors: D Palanisamy, P Senthil, V Senthilkumar
Journal: Archives of Civil and Mechanical Engineering

Title: Homogenisation of elastic properties in FDM components using microscale RVE numerical analysis
Authors: MS Anoop, P Senthil
Journal: Journal of the Brazilian Society of Mechanical Sciences and Engineering

Title: Development of ANFIS model and machinability study on dry turning of cryo-treated PH stainless steel with various inserts
Authors: D Palanisamy, P Senthil
Journal: Materials and Manufacturing Processes

Title: The influence of process parameters on the impact resistance of 3D printed PLA specimens under water-absorption and heat-treated conditions
Authors: PK Mishra, S Ponnusamy, MSR Nallamilli
Journal: Rapid Prototyping Journal

Title: Application of 3D printed PLA-carbon black conductive polymer composite in solvent sensing
Authors: T Sathies, P Senthil, C Prakash
Journal: Materials Research Express

Title: A comparative machinability study on titanium alloy Ti-6Al-4V during dry turning by cryogenic treated and untreated condition of uncoated WC inserts
Authors: U Kumar, P Senthil
Journal: Materials Today: Proceedings

Title: Experimental investigation on the application of FDM 3D printed conductive ABS-CB composite in EMI shielding
Authors: N Jayanth, P Senthil, B Mallikarjuna
Journal: Radiation Physics and Chemistry

Title: Investigations on machinability characteristics of cast aluminum alloy based (LM 26+ Graphite+ Fly ash) hybrid metal matrix composites for automobile components
Authors: C Prakash, P Senthil, N Manikandan, D Palanisamy
Journal: Materials and Manufacturing Processes

Title: An investigation on viscoelastic characteristics of 3D-printed FDM components using RVE numerical analysis
Authors: MS Anoop, P Senthil, VS Sooraj
Journal: Journal of the Brazilian Society of Mechanical Sciences and Engineering

Conclusion

Dr. P. Senthil exemplifies dedication to Engineering through his balanced contributions in education, research, and industry collaboration. His journey reflects the transformative power of Engineering when combined with innovation, mentorship, and institutional service. Engineering principles guide his approach to addressing modern challenges, shaping future-ready solutions that benefit students, industries, and society. His leadership in Engineering projects, publications, and academic initiatives ensures continuous advancement in the field. The combination of practical insight and theoretical understanding makes his Engineering work highly relevant. By nurturing talent and delivering impactful research, Dr. P. Senthil continues to enhance the reputation and influence of Engineering education and practice within the evolving technological and industrial ecosystem worldwide.

Assoc. Prof. Dr. Ehsan Moosavi | Engineering | Best Researcher Award

Assoc. Prof. Dr. Ehsan Moosavi | Engineering | Best Researcher Award

Corresponding author at Islamic Azad University, Iran

Assoc. Prof. Dr. Ehsan Moosavi is a distinguished academic in Mining Engineering whose expertise extends across petroleum engineering, production planning, and artificial intelligence integration. His Engineering background highlights a career focused on mine design, oil well stability, hydraulic fracturing, and drilling optimization. Throughout his Engineering contributions, Dr. Moosavi has advanced innovation by applying artificial intelligence to real-world Engineering problems. He is committed to enhancing academic excellence while leading significant Engineering projects that bridge academia with industry. His Engineering summary demonstrates leadership in mentoring students, publishing influential research, and ensuring the Engineering field continues evolving with innovative solutions.

Professional Profile

ORCID Profile | Google Scholar Profile | Scopus Profile 

Education 

Assoc. Prof. Dr. Ehsan Moosavi pursued extensive education in Mining Engineering, specializing in extraction and advanced Engineering optimization methods. His Engineering studies covered subjects such as production scheduling, drilling, hydraulic fracturing, and open-pit design. Dr. Moosavi’s Engineering journey through bachelor, master, and doctoral programs provided him with strong technical foundations in applied Engineering research. His dissertation focused on optimization models that directly contribute to Mining Engineering efficiency. This Engineering education experience gave him a multi-disciplinary perspective, integrating petroleum applications and artificial intelligence. By completing rigorous Engineering programs, Dr. Moosavi built a career that unites theoretical foundations with practical Engineering applications.

Experience 

Assoc. Prof. Dr. Ehsan Moosavi has extensive professional experience in Mining Engineering, spanning academia and industrial Engineering applications. He has served as an Assistant and Associate Professor, contributing to petroleum and Mining Engineering departments with leadership and curriculum development. His Engineering experience also extends to industry through mine blasting design, production scheduling, and cutoff grade optimization. He has collaborated with Engineering organizations and societies, contributing to technical committees and expert councils. By supervising doctoral and master’s research in Engineering, Dr. Moosavi has strengthened academic-industry collaboration. His Engineering experience demonstrates a balance between teaching, research, consulting, and professional engagement that supports advancements in modern Engineering practices.

Research Interest 

Assoc. Prof. Dr. Ehsan Moosavi’s Engineering research interests are strongly aligned with petroleum and Mining Engineering innovation. He investigates production scheduling in mines, oil well stability, hydraulic fracturing, and drilling operations. His Engineering research incorporates artificial intelligence, probabilistic modeling, and optimization algorithms to address complex challenges. Dr. Moosavi has applied Engineering knowledge to develop sustainable approaches for resource management and environmental protection. His Engineering interests also extend to fluid dynamic modeling, well placement optimization, and numerical simulation of rock mechanics. By focusing on Engineering-driven solutions, his research has contributed to both theoretical advancements and practical Engineering improvements in energy and resource industries.

Award and Honor

Assoc. Prof. Dr. Ehsan Moosavi has received recognition for his Engineering excellence through various awards, honors, and invited conference contributions. His Engineering achievements include significant publications in high-impact journals, showcasing leadership in Mining Engineering research. He has been an invited participant in Engineering congresses, conferences, and workshops that highlight his academic reputation. His Engineering contributions have strengthened collaboration between universities and industries, earning him respect within the Engineering community. By mentoring students and leading projects, Dr. Moosavi’s honors reflect his dedication to developing the next generation of Engineering experts. These recognitions celebrate his commitment to advancing Engineering knowledge and practice.

Research Skill

Assoc. Prof. Dr. Ehsan Moosavi demonstrates advanced Engineering research skills, particularly in mining optimization, drilling operations, and petroleum-related Engineering studies. His skills include computational modeling, artificial intelligence integration, and numerical simulation applied to Engineering problems. Dr. Moosavi utilizes specialized Engineering software for mine planning, drilling fluid analysis, and geomechanical modeling. His Engineering skills extend to supervising multidisciplinary research teams, guiding master’s and doctoral students, and publishing collaborative works. He is proficient in applying Engineering methods for sustainable development and resource management. Through strong technical skills and Engineering problem-solving abilities, he contributes impactful research that bridges theoretical exploration and industrial Engineering solutions.

Publication Top Notes 

Title: Spatial correlation effects on rock mass behavior: insights from stochastic modeling in longwall mining
Authors: Mohammad Reza Soleimanfar; Reza Shirinabadi; Navid Hosseini Alaee; Ehsan Moosavi; Ghodratollah Mohammadi
Journal: International Journal of Geo-Engineering

Title: Cutting transfer modeling of drilling operations based on two-phase computational fluid dynamics to optimize the effective parameters
Authors: Labeeb Fateh Hasan Al-hadeethi; Ehsan Moosavi
Journal: Petroleum Science and Technology

Title: Investigation of time-dependent fracture propagation in viscoelastic formation using numerical simulation
Authors: Parnia Zafari; Ehsan Moosavi
Journal: Geosystem Engineering

Title: Geomechanical modeling for well stability to determining the bottom hole pressure and optimal mud weight using adaptive neuro-fuzzy inference system
Authors: Asaad Sattar Manduf Al- Hasan; Ehsan Moosavi; Reza Shirinabadi
Journal: Modeling Earth Systems and Environment

Title: Stochastic Analysis of Rock Strength Variability in Underground Coal Mining
Authors: Mohammad Reza Soleimanfar; Reza Shirinabadi; Navid Hosseini Alaee; Ehsan Moosavi; Ghodratollah Mohammadi
Journal: Geotechnical and Geological Engineering

Title: Assessment of toxic element dispersal in water, sediments, and soil of gold mining tailing dams due to natural seepage: a case study
Authors: Kamyar Tolouei; Ehsan Moosavi; Mehran Gholinejad
Journal: Arabian Journal of Geosciences

Title: Optimization of the production scheduling problem in open-pit mines to maximize the net present value using the human mental search algorithm
Authors: Kamyar Tolouei; Ehsan Moosavi
Journal: Arabian Journal of Geosciences

Title: Three-Dimensional Probabilistic Analysis of the Surface Settlement Based on Spatial Variability of Soil Properties: Case Study Zarbalizadeh NATM Tunnel
Authors: Ehsan Moosavi; Mohammad Ali Tahmasebi; Reza Shirinabadi; Esmaiel Rahimi; Amir Hossein Bangian Tabrizi
Journal: Geotechnical and Geological Engineering

Title: Effect of Pile Driving on Ground Vibration in Clay Soil: Numerical and Experimental Study
Authors: Ehsan Moosavi; Hirad Shamimi Noori; Reza Shirinabadi; Mehran Gholinejad
Journal: Geotechnical and Geological Engineering

Title: The 3D Probabilistic Analysis of the Effect of Pre-support Systems on the Surface Settlement in Conditions of Spatial Variability of Soil Properties: A Case Study
Authors: Ehsan Moosavi; Mohammad Ali Tahmasebi; Reza Shirinabadi; Esmaiel Rahimi; Amir Hossein Bangian Tabrizi
Journal: Arabian Journal of Geosciences

Title: An effective MIP model based on grey wolf optimizer for lot-sizing LTPSOP in open-pit mines under uncertainty
Authors: Ehsan Moosavi
Journal: Arabian Journal of Geosciences

Title: Application of Distinct Element Method to Analyze the Fracture and In-situ Stress on Wellbore Stability under Triaxial Compression
Authors: Ehsan Moosavi
Journal: Indian Geotechnical Journal

Title: Improving performance of open-pit mine production scheduling problem under grade uncertainty by hybrid algorithms
Authors: Ehsan Moosavi
Journal: Journal of Central South University

Title: Production scheduling problem and solver improvement via integration of the grey wolf optimizer into the augmented Lagrangian relaxation method
Authors: Ehsan Moosavi
Journal: SN Applied Sciences

Title: An optimisation approach for uncertainty-based long-term production scheduling in open-pit mines using meta-heuristic algorithms
Authors: Ehsan Moosavi
Journal: International Journal of Mining, Reclamation and Environment

Title: A Comprehensive Study of Several Meta-Heuristic Algorithms for Open-Pit Mine Production Scheduling Problem Considering Grade Uncertainty
Authors: Ehsan Moosavi
Journal: Journal of Mining and Environment

Title: Evaluation of Compression Strength of Concrete Specimens via Experimental Results and Numerical Simulation
Authors: Ehsan Moosavi
Journal: Strength of Materials

Title: Application of an improved Lagrangian relaxation approach in the constrained long-term production scheduling problem under grade uncertainty
Authors: Ehsan Moosavi
Journal: Engineering Optimization

Title: A 3D Discrete Element Analysis of Failure Mechanism of Shallow Foundations in Rocks
Authors: Ehsan Moosavi
Journal: Journal of Mining and Environment

Title: Optimized algorithm in mine production planning, mined material destination, and ultimate pit limit
Authors: Ehsan Moosavi
Journal: Journal of Central South University

Title: Improvement of Lagrangian relaxation performance for open pit mines constrained long-term production scheduling problem
Authors: Ehsan Moosavi
Journal: Journal of Central South University

Conclusion

Assoc. Prof. Dr. Ehsan Moosavi’s Engineering profile reflects a career dedicated to academic excellence, innovative research, and professional leadership. His Engineering expertise spans petroleum and mining sectors, with contributions to optimization models, drilling advancements, and sustainable Engineering practices. Through his roles in teaching, research, and industry collaboration, Dr. Moosavi has consistently integrated Engineering innovation with education. His Engineering-focused publications and projects highlight a commitment to solving global challenges in resource extraction and energy. The conclusion of his Engineering journey emphasizes continuous development of solutions that shape modern Engineering practices. Dr. Moosavi’s legacy strengthens the link between academia, research, and applied Engineering.