Kishore Debnath | Manufacturing | Best Researcher Award

Posted on by sciencefather

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 profilesđź“–

Google Scholar

Scopus Profile

ORCID

Education 🎓

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 Experienceđź’Ľ

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 (2023–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 (2024–Present) and Co-ordinator for the Quality Improvement Programme (2024–Present). He has also held key leadership positions such as Head of the Mechanical Engineering Department (2022–2024) and Member of the Senate (2022–2024), playing a significant role in institutional development.

Research Focus

Dr. Kishore Debnath’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 & Honors🏆 

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.

Conclusionâś…

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.

đź“šPublications to Noted

 

Drilling characteristics of sisal fiber-reinforced epoxy and polypropylene composites

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

đź‘Ą Authors: K. Debnath, I. Singh, A. Dvivedi

🔢 Citations: 136

đź“… Year: 2014

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

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

đź‘Ą Authors: P.K. Bajpai, K. Debnath, I. Singh

🔢 Citations: 123

đź“… Year: 2017

Rotary mode ultrasonic drilling of glass fiber-reinforced epoxy laminates

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

đź‘Ą Authors: K. Debnath, I. Singh, A. Dvivedi

🔢 Citations: 82

đź“… Year: 2015

Experimental investigations on drilling of lignocellulosic fiber-reinforced composite laminates

đź“– Journal of Manufacturing Processes 34, 51-61

đź‘Ą Authors: M.R. Choudhury, M.S. Srinivas, K. Debnath

🔢 Citations: 76

đź“… Year: 2018

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

đź“– Journal of Manufacturing Processes 25, 262-273

đź‘Ą Authors: K. Debnath, I. Singh

🔢 Citations: 58

đź“… Year: 2017

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

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

đź‘Ą Authors: K. Debnath, I. Singh, A. Dvivedi

🔢 Citations: 47

đź“… Year: 2017

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

đź“– Composite Structures 253, 112786

đź‘Ą Authors: J. Kumar, R.K. Verma, K. Debnath

🔢 Citations: 45

đź“… Year: 2020

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

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

đź‘Ą Authors: M.R. Choudhury, K. Debnath

🔢 Citations: 43

đź“… Year: 2019

Drilling of metal matrix composites: Experimental and finite element analysis

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

đź‘Ą Authors: V.K. Doomra, K. Debnath, I. Singh

🔢 Citations: 42

đź“… Year: 2015

Fabrication methods of metal matrix composites (MMCs)

đź“– Materials Today: Proceedings 46, 6840-6846

đź‘Ą Authors: A. Kumar, O. Vichare, K. Debnath, M. Paswan

🔢 Citations: 40

đź“… Year: 2021

Detection of local defect resonance frequencies using bicoherence analysis

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

đź‘Ą Authors: S. Roy, T. Bose, K. Debnath

🔢 Citations: 39

đź“… Year: 2019

 

Qing Liu | Metallurgy | Best Researcher Award

Posted on by sciencefather

Prof. Dr. Qing Liu | Metallurgy | Best Researcher Award

Former Deputy Director at University of Science and Technology Beijing, China

Prof. Dr. Qing Liu is a renowned metallurgical engineer and professor at the University of Science and Technology Beijing (USTB), where he also serves as the Deputy Director of the State Key Laboratory of Advanced Metallurgy. A leader in the field of steelmaking and metallurgical engineering, he has made significant contributions to process optimization, quality control, and intelligent manufacturing in steel production. Dr. Liu has earned multiple prestigious awards, including the National Business Science and Technology Progress Award and the World Scientist Grand Award. His extensive academic and research career, paired with numerous leadership roles, solidifies his status as an influential figure in the global metallurgy community. As a visiting professor and member of several international associations, his work bridges global collaborations with advanced metallurgical practices. 🌍🏅

professional profilesđź“–

Scopus Profile

Education 🎓

Prof. Dr. Qing Liu completed his Bachelor’s degree in Metallurgical Engineering at USTB in 1989. He continued his academic journey with a Master’s degree in Metallurgical Engineering from USTB (1995) and later earned a Ph.D. in Metallurgical Engineering from the same university in 2002. He expanded his global academic exposure as a visiting scholar at Latrobe University in Australia in 2005. His education laid the foundation for his successful career in metallurgical research and engineering. Liu’s expertise spans across steelmaking, continuous casting processes, and metallurgical process optimization, contributing significantly to the advancements in the industry. đź“š

work Experienceđź’Ľ

Prof. Dr. Qing Liu has held several prestigious positions at USTB. Since 2007, he has been a professor, and from 2013 to 2019, he served as the Deputy Director of the State Key Laboratory of Advanced Metallurgy. His administrative experience includes roles such as Deputy Director of the Office of Scientific Research and Development at USTB and Vice Dean of the School of Metallurgical Engineering. Additionally, he has served as a lecturer and teaching assistant during the earlier years of his career. Liu’s leadership extends to numerous influential committees in metallurgical technology, such as the Continuous Casting Committee of the Chinese Society for Metals, highlighting his wide-reaching impact on the field. 👨‍🏫

Awards and Honors

Prof. Dr. Qing Liu has received numerous accolades for his groundbreaking work in the field of metallurgy. In 2024, he was awarded the National Business Science and Technology Progress Award (First Place) for the development and application of intelligent smelting technology. He also received the National Metallurgical Science and Technology Award (First Place, Second Class) for advancements in solidification cooling processes in continuous casting. Liu’s expertise has earned him the 60th Advanced Materials Congress Scientist Medal Award and the World Scientist Grand Award (Golden Scientist Grand Award), both of which recognize his contributions to the optimization of steelmaking technologies. These honors reflect his leadership and innovation in metallurgical research. 🏅

Research Focus

Prof. Dr. Qing Liu’s research interests primarily revolve around the optimization of metallurgical processes, focusing on steelmaking and continuous casting technologies. He is particularly passionate about enhancing quality control and efficiency in steel production through intelligent manufacturing systems. His work in multiscale modeling and simulation aims to improve the sustainability and high-efficiency utilization of metallic resources. Liu also explores collaborative manufacturing strategies that integrate advanced technologies for quality steel production, paving the way for smarter, more resource-efficient metallurgical processes. His research continues to shape the future of metallurgical engineering. 🔧

Skills

Prof. Dr. Qing Liu possesses a diverse skill set in metallurgy, process optimization, and industrial engineering. His expertise includes advanced simulation and modeling techniques, intelligent manufacturing systems, and the optimization of continuous casting processes. Additionally, he has extensive leadership and project management skills, honed through years of administrative roles and research direction. Liu is also proficient in fostering international collaborations and mentoring the next generation of metallurgists. His broad technical skills and academic leadership make him a prominent figure in the field of metallurgical engineering. 🛠️

Conclusionâś…

Prof. Dr. Qing Liu is a highly accomplished researcher and a deserving candidate for the Best Researcher Award. His pioneering contributions to metallurgical engineering, particularly in steelmaking intelligence and process optimization, demonstrate an exceptional commitment to advancing science and technology. Recognized globally for his expertise and leadership, Prof. Liu’s work has a lasting impact on both academia and industry. Addressing the areas for improvement—such as enhancing public outreach and diversifying research applications—could further solidify his position as a leading figure in his field.

 

đź“šPublications to Noted

Large eddy simulation of novel EMBr effect on flow pattern in thin slab casting mold with multi-port SEN and ultra-high casting speed

Authors: Cui, H., Sun, J., Zhang, J., Wang, G., Liu, Q.

Citations: 0

Year: 2025

Journal: Journal of Manufacturing Processes

Study on Influencing Factors and Their Combined Effects on Multiphase Behavior in Tundish Pouring Zone

Authors: Qin, B., Zhang, J., Yang, C., Yang, S., Liu, Q.

Citations: 0

Year: 2025

Journal: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science

Prediction of Ladle Furnace Refining Endpoint Temperature Based on Particle Swarm Optimization Algorithm and Long Short-Term Memory Neural Network

Authors: Wang, H., Wang, M., Liu, Q., Yang, Z., Xing, L.

Citations: 0

Year: 2025

Journal: JOM

Explainable machine learning model for predicting molten steel temperature in the LF refining process

Authors: Xin, Z., Zhang, J., Peng, K., Zhang, B., Liu, Q.

Citations: 0

Year: 2024

Journal: International Journal of Minerals, Metallurgy and Materials

Effect of Deoxidation Sequence on Inclusions in Oriented Silicon Steel

Authors: Liu, Q., Wang, M., Pang, W., Xing, L., Bao, Y.

Citations: 0

Year: 2024

Journal: JOM

Numerical Modeling and Plant Trial on the Optimization of SEN Designs in a Large Round Billet Mold

Authors: Qin, B., Zhang, J., Yang, S., Zuo, X., Liu, Q.

Citations: 0

Year: 2024

Journal: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science

Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost

Authors: Xu, J., Xin, Z., Lan, M., Zhang, B., Liu, Q.

Citations: 0

Year: 2024

Journal: Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences

Steelmaking–Continuous Casting Scheduling Model Based on Grey Wolf Algorithm with “Furnace–Caster Matching” Mode

Authors: Chen, B., Shao, X., Zhang, J., Li, H., Liu, Q.

Citations: 0

Year: 2024

Journal: Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences

Preparation and Properties of Thick Tungsten Coating Electrodeposited from Na2WO4-WO3-KCl-NaF Molten Salt System

Authors: Li, Y., Dong, X., Liu, Q., Gao, Z., Zhang, Y.

Citations: 0

Year: 2024

Journal: Coatings

Microstructure and high temperature tribological behavior of nickel-based superalloy with addition of revert

Authors: Zhang, K., Zhang, J., Zhao, P., Liu, Q., Yang, S.

Citations: 2

Year: 2024

Journal: Journal of Materials Research and Technology