Esther Babatunde l Data Analysis Software | Research Excellence Award

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Dr. Esther Babatunde l Data Analysis Software | Research Excellence Award

 University of Ilorin | Nigeria

Dr. Esther Babatunde is a Senior Lecturer and Postdoctoral Research Fellow specializing in chemical engineering with expertise in renewable energy, biomass and solid waste management, clean fuel reaction engineering, and process optimization. She earned her PhD and M.Eng. from the Federal University of Technology, Minna, and B.Tech. from Ladoke Akintola University of Technology. With extensive teaching and research experience, she has contributed to sustainable energy solutions and process innovations. Dr. Babatunde has received multiple awards, including the Global Excellence Stature Award and Q1 Publications Award. Her work bridges academia and industry, advancing clean energy technologies and chemical engineering research.

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Guru Guruswamy l Aerospace and Civil Engineering | Distinguished Scientist Award

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Dr. Guru Guruswamy l Aerospace and Civil Engineering | Distinguished Scientist Award

NASA Ames Research Center | United States

Dr. Guru Guruswamy is a distinguished aerospace scientist with decades of leadership in computational aeroelasticity, multidisciplinary design, and high-performance computing. He holds a PhD from Purdue University, an ME from the Indian Institute of Science, and a BE from Bangalore University with top honors. His professional career spans senior scientific leadership at NASA Ames, consultancy in high-fidelity air-taxi simulations, and earlier roles in industry and national laboratories. Dr. Guru Guruswamy’s research interests include transonic aeroelasticity, fluid-structure-control interaction, and scalable HPC frameworks, supported by advanced skills in simulation software development and project oversight. A recipient of multiple NASA, AIAA, and academic honors, he continues to shape aerospace innovation through research, mentorship, and global technical leadership.

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1,471

Documents
103

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20

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Featured Publications

A body-fitted structured grid approach to simulate breathing mode oscillations during parachute deployment


Aerospace Science and Technology, 2025

Grid topology for time-accurate deployment simulation of 2D parachutes using Navier–Stokes equations


Aerospace Science and Technology, 2023

High-fidelity flight simulation of small aircraft over tall buildings


Journal of Aerospace Engineering, 2022

Computation of gust-induced responses of an air taxi using Navier–Stokes equations


Aerospace Science and Technology, 2022

Active control of Dutch-roll oscillations of eVTOL aircraft


Aerospace Science and Technology, 2021

Ali Raza Shaikh | Mechanical Engineering | Research Excellence Award

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Mr. Ali Raza Shaikh | Mechanical Engineering | Research Excellence Award

Technical University of Darmstadt | Germany

Ali Raza Shaikh is a dedicated mechanical engineer and researcher specializing in fluid mechanics, heat transfer, ice adhesion, aerodynamics, and surface-interface science. He holds a B.Eng. in Mechanical Engineering, an M.Eng. in Power Engineering and Engineering Thermophysics, and is currently pursuing a Dr.-Ing. in Mechanical Engineering. With extensive research and practical experience, he has developed experimental setups, conducted thermal-fluid and droplet impact studies, and contributed to advancements in superhydrophobic and anti-icing surfaces. He has served as a research assistant in the MSCA-ITN SURFICE project, conducted industrial research internships, and held graduate research positions, collaborating on international projects and presenting findings at leading conferences. His technical expertise spans experimental design, surface characterization, high-speed imaging, and numerical simulations, complemented by proficiency in MATLAB, Python, LabView, CAD, and LaTeX. His research interests focus on ice adhesion dynamics, surface wetting, thermal-fluid interactions, and functional surface design. Ali has actively participated in workshops and training schools worldwide, contributing to knowledge exchange and innovation in engineering applications. His dedication to advancing research and practical solutions in fluid mechanics and surface science underscores his commitment to scientific excellence and technological development.

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Featured Publications


Transient testing of tensile ice adhesion

– Cold Regions Science and Technology, 2025

Ice adhesion dynamics in the tensile mode

– Smart Surface Design for Efficient Ice Protection and Control, 2025

The physics of icing

– Smart Surface Design for Efficient Ice Protection and Control, 2025

Understanding the physics of ice adhesion on complex substrates

– International Conference on Icing of Aircraft, Engines, and Structure, 2023

JianHua Xie | Engineering | Excellence in Research

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Prof. Dr. JianHua Xie | Engineering | Excellence in Research

Xinjiang Agricultural University | China

Prof. Dr. Xie Jianhua is a Professor of Engineering and a supervisor of both master’s and doctoral students, specializing in agricultural engineering and machinery. She is an active member of the Chinese Society of Agricultural Engineering and the Chinese Society of Agricultural Machinery. She holds a Ph.D. in Engineering and has led and participated in numerous national and provincial research projects, including the National Natural Science Foundation of China project on the working mechanism of rod-tooth type film collecting and unloading mechanisms, as well as projects on intelligent monitoring of crop production and mechanization of sugar beet planting and harvesting. Prof. Xie has published over 60 academic papers, with more than 20 indexed in SCI/EI journals. Her work has received 307 citations across 228 documents, with an h-index of 10. She has obtained 10 invention patents, over 10 utility model patents, and 4 software copyrights. Her research focuses on intelligent agricultural machinery, mechanization of crop production, automation, and innovative system design for agricultural processes. She has been recognized with multiple awards, including a First Prize for Provincial and Ministerial Technological Invention, a Second Prize for Science and Technology Progress, and multiple Third Prizes for Science and Technology Progress and regional excellence. Prof. Xie’s work combines engineering innovation with practical agricultural applications, making significant contributions to modern agricultural mechanization.

Profile : Scopus

Featured Publications

Design and Experimental Investigation of Pneumatic Drum-Sieve-Type Separator for Transforming Mixtures of Protaetia Brevitarsis Larvae. Agriengineering, 2025.

Design and Experimental Evaluation of a Rotary Knife-Type Device for Chopping Film-Mixed Residues. Agriculture (Switzerland), 2025.

Design and Experiment of Rotary Knife-Axial Flow Drum Combined Device for Chopping and Separating Film Residue Mixture. Nongye Jixie Xuebao (Transactions of the Chinese Society for Agricultural Machinery), 2025.

Xiaoxia Yu | Data Analysis Innovation |  Best Scholar Award  

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Mr. Xiaoxia Yu | Data Analysis Innovation |  Best Scholar Award  

Chongqing University of Technology | China

Dr. Xiaoxia Yu is a scholar in mechanical engineering whose work advances intelligent diagnostics and predictive maintenance for large-scale rotating machinery, particularly wind turbines. With a Ph.D. in Mechanical Engineering and earlier degrees in Vehicle Engineering and Armored Vehicle Engineering, she has built a strong interdisciplinary foundation that integrates mechanical systems knowledge with advanced computational modeling. Her research spans fault diagnosis, health assessment, digital twin systems, graph neural networks, reinforcement learning, and signal processing, supported by a growing publication record that includes 29 documents, 477 citations by 448 documents, and an h-index of 7. As a Lecturer, she leads research projects funded by regional scientific agencies and has contributed to national-level R&D initiatives related to machinery health management. Her work appears in high-impact journals, and she has secured patents focused on structural health monitoring, image recognition, and intelligent fault detection. Recognized with competitive grants and academic honors, she continues to influence the fields of renewable energy reliability and smart manufacturing. Through her commitment to innovation, research leadership, and engineering application, she is emerging as a key contributor to the development of intelligent, data-driven mechanical health monitoring systems.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Yu, X., Tang, B., & Zhang, K. (2021). Fault Diagnosis of Wind Turbine Gearbox Using a Novel Method of Fast Deep Graph Convolutional Networks. IEEE Transactions on Instrumentation and Measurement, 70, 1–14.

Yu, X., Tang, B., & Deng, L. (2023). Fault Diagnosis of Rotating Machinery Based on Graph Weighted Reinforcement Networks Under Small Samples and Strong Noise. Mechanical Systems and Signal Processing, 186, 109848.

Zhang, K., Tang, B., Deng, L., & Yu, X. (2021). Fault Detection of Wind Turbines by Subspace Reconstruction‑Based Robust Kernel Principal Component Analysis. IEEE Transactions on Instrumentation and Measurement, 70, 1–11.

Li, B., Tang, B., Deng, L., & Yu, X. (2020). Multiscale Dynamic Fusion Prototypical Cluster Network for Fault Diagnosis of Planetary Gearbox Under Few Labeled Samples. Computers in Industry, 123, 103331.

Xiong, P., Tang, B., Deng, L., Zhao, M., & Yu, X. (2021). Multi‑block Domain Adaptation with Central Moment Discrepancy for Fault Diagnosis. Measurement, 169, 108516.

Arun Gupta |  Fluid Mechanics | Best Researcher Award

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Dr. Arun Gupta |  Fluid Mechanics | Best Researcher Award

University Institute of Engineering And Technology | India

Dr. Arun Kumar Gupta is an accomplished academician and researcher in the field of Chemical Engineering with over twenty-three years of teaching and research experience. He is currently serving as an Associate Professor at the University Institute of Engineering and Technology, Chhatrapati Shahu Ji Maharaj University, Kanpur. Dr. Gupta holds a B.Tech in Chemical Engineering from UIET, CSJMU, an M.Tech, and a Ph.D. in Chemical Engineering from IIT Kanpur. His research interests encompass process modeling and simulation, sustainable chemical processes, environmental engineering, smart farming systems, and the application of IoT and machine learning in chemical engineering. With 27 publications, 14 edited chapters, 3 books, and 1 completed project under the CV Raman Scheme, he has made significant scholarly contributions. He has organized and participated in numerous workshops, conferences, and faculty development programs and has been recognized with several honors, including the “Excellence in Academics Award” at the INDO–THAI International Excellence Awards 2024 and a Gold Medal in the NPTEL ASPEN course. Dr. Gupta’s innovative work has also led to two patents in smart irrigation and sustainable reactor design. Dedicated to advancing engineering education and research, he continues to inspire students and contribute to technological innovation.

Profiles : Orcid | Google Scholar

Featured Publications

Chandra, A.K., Khan, W., Gupta, A.K., Patel, P.B., & Niranjan, R.S. (2025). “E‐Waste: A Leading Hazardous Waste.” In Global Waste Management (pp. 29–61).

Lal, A., Gupta, A.K., Kumar, A., & Indu, N.K.Y. (2010). “Manufacture and study of physico-chemical properties of Karanja bio-diesel.” In Proceedings on Renewable Energy and Sustainable Biofuels (Vol. 4).

Gupta, G.D., & Arun Kumar, G. (2022). “Enhancement in activity and reusability of dry Amberlyst-15 catalyst by thermal treatment for production of biodiesel from Karanja oil.” In Asian Journal of Chemistry, 35(1), 62–68.

Gupta, A.K., & Deo, G. (2018). “A single-step process to convert Karanja oil to fatty acid methyl esters using Amberlyst-15 as a catalyst.” In Chemical and Biochemical Engineering Quarterly, 32(1), 1–10.

Chiu, K., Gupta, A., Afxentiou, T., Ashraf, A., Kanani, R., Rajaguru, K., Bhatt, N., et al. (2025). “Impact of multiprofessional radiotherapy peer review on multidisciplinary team meeting staging in head and neck cancer.” In Clinical Oncology, 38, Article 103696.

Gupta, A.K. (2023). “Various methods for enhancement in heterogeneous catalyzed biodiesel production reaction rate.” In Journal of the Indian Chemical Society, 100(100970), 4.

Anatoly Vershinin | Algorithm Development | Best Researcher Award

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Prof. Anatoly Vershinin | Algorithm Development | Best Researcher Award

Lomonosov Moscow State University | Russia

Professor Anatoly Vershinin is a distinguished computational mechanics researcher at Lomonosov Moscow State University, holding a Doctorate in Physical and Mathematical Sciences. Graduating with honors from the Faculty of Mechanics and Mathematics in 2006, he has been a core member of the Chair of Computational Mechanics since 2009. With an h-index of 11 and over 321 citations, Professor Vershinin has authored 51 journal articles, 4 books, and holds 33 patents, contributing significantly to numerical modeling, high-performance computing, and computational mechanics. His research focuses on numerical discretization methods for nonlinear partial differential equations and parallel algorithms for massively parallel computing systems, underpinning the industrial structural engineering software CAE Fidesys. He has led or contributed to 11 research projects and multiple consultancy initiatives in collaboration with institutes such as the Schmidt Institute of Physics of the Earth and Saudi Aramco Moscow Innovation Center. An active member of the International Program Committee for “Advanced Mechanics: Structure, Materials, Tribology,” he bridges academia and industry, driving innovations in structural analysis and computational methods. His contributions have earned recognition for advancing numerical methods, high-performance simulations, and practical engineering applications, establishing him as a leading figure in computational mechanics research.

Profiles : Scopus | Orcid | Research Gate

Featured Publications

Yarushina, V. M.; Podladchikov, Y. Y.; Vershinin, A. V. (2025). “A Micromechanical Model for Mineral Replacement Reactions and Associated Deformation: From Pore Clogging to Solid Volume Increase” in American Journal of Science.

Ampilov, Y. P.; Vershinin, A. V.; Kunchenko, D. S.; Petrovsky, K. A.; Safuanova, K. R. (2025). “Prediction of Thin-Layer Thickness Using Seismic Full-Waveform Modeling” in Moscow University Geology Bulletin.

Levin, V. A.; Vershinin, A. V. (2024). “CAE Fidesys as the Implementation of Fundamental Results of Computational Mechanics into Industry” in International Scientific Conference “Advanced Mechanics: Structure, Materials, Tribology”, Samarkand, Uzbekistan, 23-26 сентября 2024. Abstracts

Levin, V. A.; Vershinin, A. V.; Yakovlev, M. Ya; Levchegov, I. O.; Zhmurovsky, A. A. (2024). “Computed Tomography Based Stress-Strain Analysis of Heterogeneous Models of Rocks and Biological Tissues Using Unstructured Meshes” in Russian Physics Journal.

Vershinin, A.; Ampilov, Y.; Levin, V.; Petrovsky, K. (2024). “Full waveform modeling in seismic exploration based on a digital geological model using spectral element method on GPU” in 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics.

Somnath Nandi | Data-informed Decision Making | Best Researcher Award

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Mr. Somnath Nandi | Data-informed Decision Making | Best Researcher Award

Jadavpur University | India

Mr. Somnath Nandi is a PhD Research Scholar at the Additive Manufacturing Research Group (AMRG), CSIR-Central Mechanical Engineering Research Institute (CMERI), India, affiliated with the Academy of Scientific and Innovative Research (AcSIR). His research focuses on functionally graded material (FGM) development, mechanical and tribological characterization, and process optimization in Wire Arc Additive Manufacturing (WAAM). He has contributed to several funded projects, including the design of SS-Ni transition metals-based electrodes for green hydrogen generation, bimetallic structure development for Tata Steel, and remanufacturing of railway brake shoes. Mr. Nandi holds an M.E. in Production Management from Jadavpur University and a B.Tech in Mechanical Engineering from the Government College of Engineering and Textile Technology, Berhampore. His published works in reputed SCI-indexed journals such as Progress in Additive Manufacturing, Materials Letters, and Journal of Materials Engineering and Performance highlight his expertise in optimization, digital twins, and sustainable manufacturing. His research interests span metal additive manufacturing, tribology, hybrid manufacturing, and digital monitoring systems. A GATE-qualified engineer (2021, 2022), he is an active member of professional societies including IIM and IAENG. Mr. Nandi has authored 10+ scientific documents, achieving an h-index of 3 with over 45 citations, reflecting his growing impact in the field of advanced manufacturing.

Profiles : Orcid | Google Scholar

Featured Publications

Biswas, S., Nandi, S., Hussain, M. S., Mandal, A., & Mukherjee, M. (2025). “Influence of heat input on the interfacial characteristics of SS316L–In718 bi-metallic deposition for wire arc additive manufacturing.” Materials Letters.

Nandi, S., Biswas, S., & Mukherjee, M. (2025). “Optimization of Wire Arc Additive Manufacturing Parameters for Steel–Aluminum Bimetallic Interface: A Comparative Study of Metaheuristic and Machine Learning Approaches.” Journal of Materials Engineering and Performance, 35(6).

Ahammed, A. A. C. P., Nandi, S., Paul, A. R., Sreejith, B., MJ, J., & Mukherjee, M. (2025). “On the Characteristic Evaluation of Bimetallic Interface of Carbon Steel (EN31) and Aluminium (AA4043) for Wire Arc Additive Manufacturing.” Metals and Materials International, 1–18.

Pendokhare, D., Nandi, S., & Chakraborty, S. (2025). “A comparative analysis on parametric optimization of abrasive water jet machining processes using foraging behavior-based metaheuristic algorithms.” OPSEARCH, 1–42.

Viken Kortian | Big Data Analytics | Best Researcher Award

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Assoc. Prof. Dr. Viken Kortian | Big Data Analytics | Best Researcher Award

Macquarie University | Australia

Assoc. Prof. Dr. Viken Kortian is an accomplished academic and researcher specializing in operations management, innovation, and entrepreneurship, with extensive expertise in business process management, strategy, and big data analytics. He holds a PhD in Management from Macquarie Graduate School of Management, where his doctoral research focused on organizational agility and firm performance in Australian SMEs. His academic foundation also includes a Master of Arts, an MBA, and a Bachelor of Chemical Engineering with honors. Dr. Kortian has built a distinguished career in higher education, currently serving as Associate Professor at Macquarie University’s School of Engineering, where he played a pivotal role in designing and leading the Master of Engineering Management program, one of the university’s largest postgraduate offerings. He has also contributed to Kaplan Business School, Macquarie Graduate School of Management, and the Australian Graduate School of Management through innovative course development in data analytics, quality management, and business excellence. His research interests span business excellence, operations management, artificial intelligence, and machine learning, with several conference presentations, publications, and a US patent to his credit. Recognized with multiple Vice Chancellor’s Awards for Teaching Excellence and other honors, Dr. Kortian is a dedicated educator, researcher, and thought leader shaping engineering management education in Australia.

Profile : Orcid 

Featured Publication

“Challenges and Issues in Implementing & Operationalising Big Data Analytics Capabilities in a major Australian Railway Organisation: A Case Study”

 

Syed Abrar Ahmed | Optical Communication | Best Researcher Award

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Mr. Syed Abrar Ahmed | Optical Communication | Best Researcher Award

Presidency University | India

Mr. Syed Abrar Ahmed is an Assistant Professor in the Department of Electronics and Communication Engineering at Presidency University, Bangalore, with over 14 years of academic experience. He holds an M.Tech in VLSI Design and Embedded Systems from Dr. Ambedkar Institute of Technology, Bangalore, under Visvesvaraya Technological University (VTU), and a B.E. in Electronics and Communication Engineering from Ghousia College of Engineering, Ramanagaram. His teaching expertise spans Network Analysis, Embedded System Design, Microcontrollers, Microprocessors, and Analog and Digital Electronics. His research contributions focus on embedded systems, Internet of Things (IoT), machine learning applications in cognitive radio, and assistive technologies for visually impaired individuals. He has published conference papers, journal articles, and a book chapter, including contributions to Scopus-indexed proceedings and reputed journals such as the International Journal of Recent Technology and Engineering. He has guided numerous undergraduate projects in microcontrollers, robotics, IoT, GSM/GPS systems, and FPGA-based designs, and has actively participated in faculty development programs, workshops, and seminars on advanced topics. His career is distinguished by dedication to academic excellence, innovation in teaching, and contributions to emerging fields in electronics and communication engineering.

Profiles : Scopus | Orcid

Featured Publications

“QML-Based Abstraction Techniques for Predictive Modeling in Banking”

“Performance analysis of a PPM-OOK based hybrid modulation scheme for Satellite-to-Underwater FSO communication”

“Decision Tree Based 5modular Redundancy Algorithm for Fault Identification in Full Adder Circuit”

“5G’s Impact on the Evolution of Smart Cities”

“Multifunctional Frequency Management With 5g Cognitive Networking”

“A Glimpse of the 5G-Enabled Modern City”

“Third Eye A Writing Aid for Visually Impaired People”