Mayank Choubey | Mechanical Engineering | Research Excellence Award

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Dr. Mayank Choubey | Mechanical Engineering | Research Excellence Award

SGT University Gurugram Haryana | India

Dr. Mayank Choubey is an accomplished academic and researcher in the field of manufacturing engineering, currently serving as an Assistant Professor with strong expertise in advanced and digital manufacturing technologies. He holds a solid educational background in mechanical and manufacturing engineering and has gained substantial teaching and research experience at the undergraduate and postgraduate levels. His research interests span hybrid machining, additive and digital manufacturing, micro-machining, simulation-driven process optimization, and finite element analysis, with a focus on improving manufacturing efficiency and precision. He is the author of three ISBN-registered books and has five patents published or under process, demonstrating a strong orientation toward innovation and applied research. In addition, he serves on the editorial board of an academic journal and actively contributes as a peer reviewer. His academic contributions are supported by verified research documents and citation records available through recognized scholarly platforms. Overall, Dr. Choubey’s consistent research output, academic service, and innovation-driven mindset make him a deserving candidate for research excellence recognition.

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Featured Publications

A Review on Vibration-Assisted EDM, Micro-EDM and WEDM
K.P. Maity, M. Choubey, Surface Review and Letters, 26(05), 1830008, 2019. (Citations: 81)

Algae: A Potential Feedstock for Third Generation Biofuel
R.S. Powar, A.S. Yadav, C.S. Ramakrishna, S. Patel, M. Mohan, et al., Materials Today: Proceedings, 63, A27–A33, 2022. (Citations: 60)

Finite Element Modeling of Material Removal Rate in Micro-EDM Process with and without Ultrasonic Vibration
M. Choubey, K.P. Maity, A. Sharma, Grey Systems: Theory and Application, 10(3), 311–319, 2020. (Citations: 33)

Modeling and Process Simulation of Vibration Assisted Workpiece in Micro-EDM Using FEM
K.P. Maity, M. Choubey, World Journal of Engineering, 13(3), 242–250, 2016. (Citations: 16)

A Review on Various Methods to Improve Process Capabilities of Electrical Discharge Machining Process
M. Choubey, M. Rawat, Materials Today: Proceedings, 47, 2756–2764, 2021. (Citations: 10)

Elly Ogutu Isaya | Mechanical Engineering | Research Excellence Award

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Mr. Elly Ogutu Isaya | Mechanical Engineering | Research Excellence Award

Budapest University of Technology and Economics | Hungary

Ogutu Isaya Elly is a mechanical engineering researcher and PhD candidate at the Géza Pattantyús-Ábrahám Doctoral School of Mechanical Sciences, Budapest University of Technology and Economics (BME), specializing in advanced manufacturing and micromachining. He earned a Master’s degree in Mechanical Engineering from Huazhong University of Science and Technology (HUST), China and a Bachelor’s degree in Mechanical Engineering from Jomo Kenyatta University of Agriculture and Technology (J.K.U.A.T), Kenya. His academic experience includes active participation in nationally funded Hungarian research projects focused on AI-based predictive modeling for machining quality and on transient deformation, thermal, and tribological phenomena in fine machining of high-hardness metals. His research interests center on micromachining processes, burr formation mechanisms, and the integration of machine learning within Industry 4.0 manufacturing frameworks. His recent work on burr-size prediction and optimization provides industry-ready solutions to reduce deburring costs and improve surface integrity. He is currently a nominee for the Best Research Article Award, reflecting the applied impact and relevance of his research to modern manufacturing systems.

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Featured Publications

Surface Quality Prediction by Machine Learning Methods and Process Parameter Optimization in Ultra-Precision Machining of AISI D2 Using CBN Tool
U.L. Adizue, A.D. Tura, E.O. Isaya, B.Z. Farkas, M. Takács,
The International Journal of Advanced Manufacturing Technology, 129(3), 1375–1389, 2023. (Citations: 34)


Analysis, Modelling, and Optimization of Force in Ultra-Precision Hard Turning of Cold Work Hardened Steel Using the CBN Tool
O.I. Elly, U.L. Adizue, A.D. Tura, B.Z. Farkas, M. Takács,
Journal of the Brazilian Society of Mechanical Sciences and Engineering, 46, 2024. (Citations: 8)


Optimization of Ultra-Precision CBN Turning of AISI D2 Using Hybrid GA-RSM and Taguchi-GRA Statistical Tools
A.D. Tura, E.O. Isaya, U.L. Adizue, B.Z. Farkas, M. Takács,
Heliyon, 10(11), 2024. (Citations: 5)


Feed Optimization Based on Force Modelling and TLBO Algorithm in Milling Al 7075
O.I. Elly, Y. Yin,
Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2024. (Citations: 2)


Burr Size Minimization Using a Surrogate Artificial Neural Network (ANN) Assisted Multi-Objective Genetic Algorithm (MOGA) in Micromilling Hardened AISI H13
O.I. Elly, M. Takács, B.Z. Balázs,
The International Journal of Advanced Manufacturing Technology, 2026. (In Press)

Mohammad Hassan Sohouli | Medicine and Health Sciences | Research Excellence Award

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Assist. Prof. Dr. Mohammad Hassan Sohouli | Medicine and Health Sciences | Research Excellence Award

Tehran University of Medical Sciences | Iran

Dr. Mohammad Hassan Sohouli is an Assistant Professor and an accomplished researcher in Cellular and Molecular Nutrition and Clinical Nutrition, with a PhD completed from Shahid Beheshti University of Medical Sciences, Iran. His academic training integrates molecular nutrition, clinical nutrition, and public health, forming a strong foundation for translational and evidence-based research. He has been an active speaker at national and regional scientific conferences, and he has served as Chief Director at the Gastroenterology and Hepatology Research Center for Pediatric Nutrition and as a specialist clinical nutritionist at the Children Medical Center, Tehran. Dr. Sohouli has contributed to 148 completed and ongoing research projects and authored more than 141 articles in SCI- and  journals, accumulating over 1,306 citations, with an H-index of  19. His research interests focus on childhood obesity, NAFLD, dietary patterns, gut microbiota, cardiometabolic outcomes, pediatric and maternal nutrition, and public health nutrition, with extensive expertise in systematic reviews, meta-analyses, and clinical trials. He has published three ISBN books, holds 13 patents, completed 68 consultancy projects, and received multiple recognitions as a top researcher, reflecting his sustained impact and leadership in nutrition science.

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Featured Publications