Kishore Debnath | Manufacturing | Best Researcher Award

Dr. Kishore Debnath | Manufacturing | Best Researcher Award

Associate Professor at China Academy of Building Research, China

Dr. Kishore Debnath is a distinguished academic and researcher in the field of mechanical engineering, specializing in advanced manufacturing and materials science. With a strong foundation in engineering research, he has significantly contributed to machining processes, sustainable manufacturing, and industrial automation. He earned his Ph.D. in Mechanical Engineering from the Indian Institute of Technology (IIT) Roorkee and has since been actively engaged in research and teaching. Currently serving as an Associate Professor at the National Institute of Technology (NIT) Meghalaya, Dr. Debnath has played a key role in academic development, research advancement, and administrative leadership. His work focuses on optimizing machining performance, eco-friendly manufacturing solutions, and computational modeling. Over the years, he has received numerous accolades, including the Excellent Research Contribution Award and multiple Best Paper Awards at prestigious conferences. Through his expertise and leadership, Dr. Debnath continues to shape the future of mechanical engineering research and education.

professional profiles๐Ÿ“–

Google Scholar

Scopus Profile

ORCID

Education ๐ŸŽ“

Dr. Kishore Debnath pursued his Ph.D. in Mechanical Engineering from the Indian Institute of Technology (IIT) Roorkee between 2011 and 2015, where he focused on advanced machining processes and material optimization techniques. Prior to this, he completed his M.Tech. in Mechanical Engineering at the National Institute of Technology (NIT) Rourkela (2009-2011), specializing in manufacturing engineering and process optimization. His research during this period was centered on improving machining efficiency and material sustainability. His undergraduate studies were at the National Institute of Technology (NIT) Agartala, where he earned a B.E. in Mechanical Engineering (2004-2008). His education has provided him with a robust technical foundation and a deep understanding of mechanical and industrial processes, allowing him to make significant contributions to academia and the engineering industry.

work Experience๐Ÿ’ผ

Dr. Kishore Debnath has an extensive teaching and research career, having served in multiple academic positions. He is currently an Associate Professor at NIT Meghalaya (2023โ€“Present), where he leads various research initiatives and academic programs. Previously, he held the role of Assistant Professor (Grade-I) from 2019 to 2023 and Assistant Professor (Grade-II) from 2015 to 2019 at the same institution. His initial role at NIT Meghalaya was as an Assistant Professor (Consolidated Pay) from July to November 2015. In addition to teaching, he has been deeply involved in academic and administrative responsibilities, including serving as the Professor In-Charge of the Centre for International Relations (2024โ€“Present) and Co-ordinator for the Quality Improvement Programme (2024โ€“Present). He has also held key leadership positions such as Head of the Mechanical Engineering Department (2022โ€“2024) and Member of the Senate (2022โ€“2024), playing a significant role in institutional development.

Research Focus

Dr. Kishore Debnathโ€™s research primarily revolves around advanced machining, manufacturing processes, and material science applications. His work in precision machining and surface engineering has led to improved cutting efficiency and wear resistance in industrial applications. He is actively involved in sustainable manufacturing, where he develops eco-friendly and energy-efficient machining techniques. His expertise in computational modeling and AI-driven process optimization allows for better prediction and control of machining operations. Additionally, he has contributed to industrial automation and the integration of smart manufacturing technologies under Industry 4.0. His research on composite and high-performance materials has applications in the aerospace and automotive industries. Through his innovative contributions, he continues to push the boundaries of manufacturing efficiency and sustainability, helping industries transition to more advanced and environmentally friendly practices.

Awards & Honors๐Ÿ†ย 

Dr. Kishore Debnath has received numerous awards and honors for his contributions to research and academia. He was honored with the Excellent Research Contribution Award (Young Faculty) for 2022-23 and 2018-19 at NIT Meghalaya. He has also won Best Paper Awards at prestigious conferences, including the 2nd International Conference on Recent Innovations & Developments in Mechanical Engineering (ICRIDME 2024) and the International Conference on Industrial and Manufacturing Systems (CIMS-2020). Additionally, he has been awarded international travel grants, including CSIR-funded financial assistance to attend IMMT-2019 in Dubai, UAE, and SERB-DST-funded support for ISGMA-2014 in South Korea. His research has been recognized with multiple Best Poster Presentation Awards, further solidifying his reputation as a leading researcher in his field. He also secured the Graduate Aptitude Test in Engineering (GATE) Scholarship during his M.Tech. and Ph.D. studies, demonstrating his academic excellence from an early stage.

Conclusionโœ…

Dr. Kishore Debnath is a strong contender for the Best Researcher Award, given his proven research excellence, international recognition, and academic leadership. His contributions to mechanical and manufacturing engineering have been recognized with multiple awards, and his mentorship has led to successful research outputs. Strengthening his high-impact journal publications, industry collaborations, and research funding would further elevate his profile for prestigious global research accolades.

๐Ÿ“šPublications to Noted

 

Drilling characteristics of sisal fiber-reinforced epoxy and polypropylene composites

๐Ÿ“– Materials and Manufacturing Processes 29 (11-12), 1401-1409

๐Ÿ‘ฅ Authors: K. Debnath, I. Singh, A. Dvivedi

๐Ÿ”ข Citations: 136

๐Ÿ“… Year: 2014

Hole making in natural fiber-reinforced polylactic acid laminates: an experimental investigation

๐Ÿ“– Journal of Thermoplastic Composite Materials 30 (1), 30-46

๐Ÿ‘ฅ Authors: P.K. Bajpai, K. Debnath, I. Singh

๐Ÿ”ข Citations: 123

๐Ÿ“… Year: 2017

Rotary mode ultrasonic drilling of glass fiber-reinforced epoxy laminates

๐Ÿ“– Journal of Composite Materials 49 (8), 949-963

๐Ÿ‘ฅ Authors: K. Debnath, I. Singh, A. Dvivedi

๐Ÿ”ข Citations: 82

๐Ÿ“… Year: 2015

Experimental investigations on drilling of lignocellulosic fiber-reinforced composite laminates

๐Ÿ“– Journal of Manufacturing Processes 34, 51-61

๐Ÿ‘ฅ Authors: M.R. Choudhury, M.S. Srinivas, K. Debnath

๐Ÿ”ข Citations: 76

๐Ÿ“… Year: 2018

Low-frequency modulation-assisted drilling of carbon-epoxy composite laminates

๐Ÿ“– Journal of Manufacturing Processes 25, 262-273

๐Ÿ‘ฅ Authors: K. Debnath, I. Singh

๐Ÿ”ข Citations: 58

๐Ÿ“… Year: 2017

On the analysis of force during secondary processing of natural fiber-reinforced composite laminates

๐Ÿ“– Polymer Composites 38 (1), 164-174

๐Ÿ‘ฅ Authors: K. Debnath, I. Singh, A. Dvivedi

๐Ÿ”ข Citations: 47

๐Ÿ“… Year: 2017

A new approach to control the delamination and thrust force during drilling of polymer nanocomposites reinforced by graphene oxide/carbon fiber

๐Ÿ“– Composite Structures 253, 112786

๐Ÿ‘ฅ Authors: J. Kumar, R.K. Verma, K. Debnath

๐Ÿ”ข Citations: 45

๐Ÿ“… Year: 2020

A review of the research and advances in electromagnetic joining of fiber-reinforced thermoplastic composites

๐Ÿ“– Polymer Engineering & Science 59 (10), 1965-1985

๐Ÿ‘ฅ Authors: M.R. Choudhury, K. Debnath

๐Ÿ”ข Citations: 43

๐Ÿ“… Year: 2019

Drilling of metal matrix composites: Experimental and finite element analysis

๐Ÿ“– Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

๐Ÿ‘ฅ Authors: V.K. Doomra, K. Debnath, I. Singh

๐Ÿ”ข Citations: 42

๐Ÿ“… Year: 2015

Fabrication methods of metal matrix composites (MMCs)

๐Ÿ“– Materials Today: Proceedings 46, 6840-6846

๐Ÿ‘ฅ Authors: A. Kumar, O. Vichare, K. Debnath, M. Paswan

๐Ÿ”ข Citations: 40

๐Ÿ“… Year: 2021

Detection of local defect resonance frequencies using bicoherence analysis

๐Ÿ“– Journal of Sound and Vibration 443, 703-716

๐Ÿ‘ฅ Authors: S. Roy, T. Bose, K. Debnath

๐Ÿ”ข Citations: 39

๐Ÿ“… Year: 2019

 

Fernando Marins | Production Engineering | Best Researcher Award

Prof. Dr.Fernando Marins | Production Engineering | Best Researcher Award

Professor at Universidade Estadual Paulista-UNESP,Brazil

Fernando Augusto Silva Marins is a Full Professor at UNESP โ€“ Sรฃo Paulo State University, specializing in logistics, supply chain management, and operational research. With over four decades of academic and research experience, he has made significant contributions to the field through publications, patents, and industrial collaborations. His academic journey began with a Mechanical Engineering degree in 1976, followed by an MSc (1981) and PhD (1987), culminating in a postdoctoral internship at Brunel University in 1994. He has supervised numerous postgraduate students and participated in various international collaborations. A prolific researcher, he has published over 140 journal articles, authored two books, and contributed to 29 book chapters. He has also served as an editor and reviewer for multiple scientific journals. Recognized for his contributions, he has received 40 awards and honors, highlighting his impact on academia and industry. His research spans logistics, SCM, DEA, AHP, and simulation.

professional profiles๐Ÿ“–

Scopus Profile

ORCID

Goolge scholar

Education ๐ŸŽ“

Fernando Augusto Silva Marins pursued his undergraduate degree in Mechanical Engineering in 1976. He later obtained a Master of Science (MSc) in 1981, where he deepened his understanding of engineering principles and logistics. In 1987, he earned his PhD, further refining his expertise in operational research and supply chain management. To expand his international academic exposure, he completed a postdoctoral internship at Brunel University, UK, in 1994. His educational background laid a strong foundation for his career in academia and research. With a focus on logistics, supply chain management, and decision-making methodologies, he has continuously integrated emerging technologies into his research. His extensive academic journey has enabled him to guide students at various levels, fostering new innovations and practical applications in his field. Through his diverse educational experiences, he has contributed significantly to research and academia, making a lasting impact on logistics and operational research disciplines.

work Experience๐Ÿ’ผ

Fernando Augusto Silva Marins has been a Full Professor at UNESP โ€“ Sรฃo Paulo State University, where he has dedicated his career to research, teaching, and industry collaborations. Over the years, he has mentored 26 PhD candidates, 37 MSc students, and 80 MBA researchers. His professional experience includes working as a researcher for CNPq, contributing extensively to operational research, logistics, and supply chain management. He has successfully led 34 research projects and actively participated in consultancy work, bridging the gap between academia and industry. His editorial contributions include serving as an editor and reviewer for numerous journals and scientific events. He has also held leadership roles within the Brazilian Operational Research Society (SOBRAPO), influencing policy and research directions. As a recognized academician, he continues to push the boundaries of research through advanced methodologies like DEA, AHP, and simulation, fostering innovations in logistics and supply chain management.

Research Focus

Fernando Augusto Silva Marins specializes in logistics, supply chain management (SCM), and operational research (OR), focusing on optimizing processes for efficiency and cost-effectiveness. His research integrates advanced methodologies such as Data Envelopment Analysis (DEA), Analytic Hierarchy Process (AHP), and simulation to solve complex decision-making problems. His work addresses critical challenges in transportation, inventory control, and production planning. By leveraging mathematical modeling and computational tools, he enhances decision-support systems for businesses and industries. His contributions have been widely published, with 140 journal papers and numerous conference presentations. His research extends to sustainability in logistics, emphasizing eco-friendly supply chain strategies. He collaborates with industries and academia to develop practical solutions, bridging theoretical research with real-world applications. With extensive experience in multi-criteria decision-making, his work influences operational strategies in various sectors. His ongoing projects focus on digital transformation in logistics, smart supply chains, and artificial intelligence applications in decision-making.

Awards & Honors๐Ÿ†ย 

Fernando Augusto Silva Marins has received over 40 awards and honors for his outstanding contributions to logistics, supply chain management, and operational research. His recognition spans academia, industry, and scientific organizations. He has been honored by the Brazilian Operational Research Society for his impactful research and leadership roles. His innovative work has earned him accolades in international conferences and scientific journals. He has received best paper awards, distinguished researcher titles, and excellence in teaching honors. His contributions to decision-making methodologies like DEA, AHP, and simulation have been widely recognized by peers and institutions. His research impact is reflected in his h-index of 18 in Scopus, showcasing the high citation count of his work. Additionally, he has been acknowledged for his role in mentoring and supervising students, further cementing his legacy in academia. His dedication to advancing research and education has earned him a reputation as a leading expert.

Skills ๐Ÿ› ๏ธย 

Fernando Augusto Silva Marins possesses a diverse skill set, combining academic excellence, research innovation, and industry expertise. His technical skills include operational research methodologies, logistics optimization, supply chain management, and simulation modeling. He is proficient in decision-support tools like DEA and AHP, which enhance efficiency in complex systems. His expertise extends to programming and mathematical modeling, aiding in research and industrial applications. He has strong leadership and mentoring skills, having guided over 100 students across various academic levels. His editorial experience as a journal reviewer and editor showcases his ability to assess and refine high-quality research. With excellent project management skills, he has led multiple research initiatives, ensuring impactful results. His consultancy work demonstrates his ability to apply theoretical models to real-world business challenges. His communication and collaboration skills have facilitated global partnerships, fostering innovation in logistics and operational research. His ability to bridge theory with practice sets him apart.

Conclusionโœ…

Fernando Augusto Silva Marins is an exceptional candidate for the Best Researcher Award. His prolific research output, academic mentorship, and contributions to logistics and operations research make him a strong contender. With enhanced industry collaborations and a focus on increasing citation impact, his research influence can be further solidified. Overall, he meets and exceeds many of the criteria for this prestigious recognition

๐Ÿ“šPublications to Noted

The ISO 31000 standard in supply chain risk management

Authors: U.R. De Oliveira, F.A.S. Marins, H.M. Rocha, V.A.P. Salomon

Journal: Journal of Cleaner Production

Citations: 298

Year: 2017

ERP systems: features, costs and trends

Authors: T.C.C. Padilha, F.A.S. Marins

Journal: Production

Citations: 179

Year: 2005

Introduction to Operational Research

Author: F.A.S. Marins

Publisher: Sรฃo Paulo: Academic Culture, Paulista State University

Citations: 140

Year: 2011

Application of design of experiments on the simulation of a process in automotive industry

Authors: J.A.B. Montevechi, A.F. de Pinho, F. Leal, F.A.S. Marins

Conference: 2007 Winter Simulation Conference

Citations: 132

Year: 2007

Analytic hierarchy process and supply chain management: A bibliometric study

Authors: C.L. Tramarico, V.A.P. Salomon, F.A.S. Marins

Journal: Procedia Computer Science

Citations: 105

Year: 2015

Mitigation of the bullwhip effect considering trust and collaboration in supply chain management: a literature review

Authors: M.M.K. Almeida, F.A.S. Marins, A.M.P. Salgado, F.C.A. Santos, S.L. Silva

Journal: The International Journal of Advanced Manufacturing Technology

Citations: 104

Year: 2015

Reverse logistics management model

Authors: C.T. Hernรกndez, F.A.S. Marins, R.C. Castro

Journal: Management & Production

Citations: 94

Year: 2012

A Fuzzy Goal Programming model for solving aggregate production-planning problems under uncertainty: A case study in a Brazilian sugar mill

Authors: A.F. da Silva, F.A.S. Marins

Journal: Energy Economics

Citations: 86

Year: 2014

Reverse logistics in a glass lamination company: a case study

Authors: M.E. Goncalves, F.A.S. Marins

Journal: Management & Production

Citations: 80

Year: 2006

Multi-criteria assessment of the benefits of a supply chain management training considering green issues

Authors: C.L. Tramarico, V.A.P. Salomon, F.A.S. Marins

Journal: Journal of Cleaner Production

Citations: 79

Year: 2017