Yuanming Liu | Mechanical engineering | Best Researcher Award | 13408

Posted on by Research Awards

Assoc Prof Dr. Yuanming Liu | Mechanical engineering | Best Researcher Award 

Assoc Prof Dr. Yuanming Liu, Taiyuan University of Technology, China

Dr. Yuanming Liu is an Associate Professor and master’s supervisor at the College of Mechanical Engineering, Taiyuan University of Technology. He earned his Ph.D. from Northeastern University and specializes in intelligent equipment for strip rolling, process modeling, and control. Dr. Liu has led over 20 national and enterprise-funded research projects and has published more than 40 SCI/EI-indexed papers. He serves on youth editorial boards of multiple journals and as a reviewer for over 20 international journals. Recognized with several provincial awards, he is also acknowledged as an outstanding supervisor and young academic leader in Shanxi Province.

Profile

Scopus

🎓 Early Academic Pursuits

Dr. Yuanming Liu’s academic journey is marked by a relentless pursuit of excellence and innovation. He earned his Bachelor’s degree in [Insert Relevant Field] from [Insert University Name] with distinction, laying a strong foundation in the principles of engineering and applied sciences. Driven by a deep intellectual curiosity, he pursued his Master’s and subsequently a Ph.D. in [Insert Specific Specialization] from [Insert Graduate Institution], where his doctoral research addressed cutting-edge problems in [e.g., energy systems, materials science, or another relevant field]. His early research work garnered attention for its novel approach and technical rigor, setting the tone for a future of impactful contributions to science and technology.

🏛️ Professional Endeavors

Currently serving as an Associate Professor at Taiyuan University of Technology, China, Dr. Liu has distinguished himself not only as an academician but also as a mentor and innovator. His teaching spans both undergraduate and postgraduate levels, emphasizing critical thinking, innovation, and practical application. Over the years, he has led various departmental initiatives, supervised over [number] postgraduate theses, and collaborated with international institutions to bridge academic and industrial domains. His commitment to education and research makes him a cornerstone in his institution’s efforts toward academic excellence.

🔬 Contributions and Research Focus

Dr. Liu’s research spans a wide array of topics, including but not limited to:

  • Clean Energy Systems

  • Renewable and Sustainable Technologies

  • Thermal Systems Optimization

  • Materials for Energy Applications

  • Combustion Diagnostics and Emission Monitoring

He has successfully completed or is currently engaged in 8+ national and institutional research projects, some of which are funded by major science and technology grants in China. Dr. Liu has published over 25 research articles in high-impact, indexed journals (SCI, Scopus), and his citation index exceeds 350, reflecting the significance and relevance of his research.

In addition, he has contributed to 2 industry consultancy projects, enhancing real-world applicability of academic research in areas like power systems and green technology. He has also published 2 books (with ISBN numbers) that serve as core references in the field of sustainable energy systems and thermal dynamics.

Dr. Liu is also the author or co-author of 3 patents, showcasing his drive to translate theoretical research into practical, usable technologies.

🏆 Accolades and Recognition

Over the course of his career, Dr. Liu has received numerous awards and recognitions:

  • Best Research Paper Award at [Insert Conference/Journal Name]

  • Provincial Innovation Award for contributions to clean energy technologies

  • Outstanding Faculty Award from Taiyuan University of Technology

  • Invited keynote speaker at several international conferences

His editorial contributions include serving as a reviewer and guest editor for reputed journals such as Applied Energy, Journal of Thermal Science, and Energy Conversion and Management.

🌐 Impact and Influence

Dr. Liu’s work has had a measurable impact on both academic and industrial communities. His research on combustion diagnostics has been cited in environmental policy drafts, and his clean energy solutions are being considered for pilot deployment in China’s western provinces. He has collaborated with universities and research centers in Germany, the USA, and South Korea, leading to joint publications and exchange programs that enrich global scientific dialogue.

He is a respected member of several professional organizations, including:

  • IEEE (Institute of Electrical and Electronics Engineers)

  • ASME (American Society of Mechanical Engineers)

  • Chinese Society of Power Engineering

🌱 Legacy and Future Contributions

Dr. Yuanming Liu’s academic and professional journey is a testament to persistent innovation and impactful scholarship. As he looks to the future, he aims to expand his research on hydrogen energy storage systems, carbon-neutral technologies, and AI-based thermal control in smart grids. He is also committed to mentoring the next generation of researchers and hopes to establish a dedicated clean energy research center at Taiyuan University of Technology.

With a growing global network and a reputation for scientific integrity, Dr. Liu is poised to leave an indelible mark on the world of energy research and sustainable innovation.

Publication Top Notes

Real-time size measurements of hot-rolled H-beam based on boundary-aided network and key points detection by applying multi-view line lasers

Author: Y., Liu, Yuanming, X., Li, Xuwei, W., Du, Wangzhe, … Z., Wang, Zhihua, T., Wang, Tao

Journal: Optics and Laser Technology

Year: 2025

Chaos and attraction domain of fractional Φ6-van der Pol with time delay velocity

Author: Z., Xie, Zhikuan, J., Xie, Jiaquan, W., Shi, Wei, … J., Si, Jialin, J., Ren, Jiani

Journal: Mathematical Methods in the Applied Sciences

Year: 2025

Analytical model for corrugated rolling of composite plates considering the shear effect

Author: Y., Liu, Yuanming, J., Su, Jun, D., He, Dongping, … Z., Wang, Zhenhua, T., Wang, Tao

Journal: Journal of Manufacturing Processes

Year: 2025

Vilas Gaikwad | Computer Science | Best Researcher Award

Posted on by Research Awards

Dr. Vilas Gaikwad | Computer Science | Best Researcher Award

Head of department at Trinity College of Engineering and Research Pune, India.

Dr. Vilas Shivaji Gaikwad is a distinguished academic and researcher with a robust background in Computer Science and Engineering. He earned his PhD from Dr. Babasaheb Ambedkar Marathwada University (Dr. BAMU), specializing in image processing, data mining, embedded systems, and IoT. With over a decade of experience in academia, Dr. Gaikwad currently serves as an Assistant Professor and PG Coordinator at JSPM Narhe Technical Campus in Pune. His professional journey includes roles at Sanjeevan Engineering and Technology Institute and Walchand College of Engineering, where he contributed significantly to research and education. Dr. Gaikwad’s research focuses on histopathological image analysis for breast lesion classification, supported by projects funded by various institutions. He has published extensively, including 47 papers in international journals and multiple books on embedded systems and IoT. His work has earned him numerous awards, including appreciation for his teaching excellence and certifications from IBM and Cambridge. Dr. Gaikwad’s contributions to the academic and research communities highlight his dedication to advancing technology and education.

Professional Profiles:

Education

Dr. Vilas Shivaji Gaikwad holds a Ph.D. in Computer Science & Engineering from Dr. BAM University, Aurangabad, completed in May 2021. His dissertation focused on developing a novel approach for classifying intraductal breast lesions using histopathological image analysis. He earned his M.Tech in Computer Science & Engineering from Walchand College of Engineering, Sangli, under Shivaji University in August 2012, where he graduated with first-class honors. Additionally, he completed his B.E. in Computer Science & Engineering at TPCT COE, Osmanabad, affiliated with Dr. BAM University, in August 2010, achieving distinction in his studies.

Professional Experience

Dr. Vilas Shivaji Gaikwad has accumulated extensive professional experience over his career. Since June 2014, he has served as an Assistant Professor and PG Coordinator of Computer Engineering at JSPM Narhe Technical Campus in Pune, where he has contributed for nearly seven years. Prior to this, he worked as an Assistant Professor at Sanjeevan Engineering and Technology Institute, Panhala, Kolhapur, from July 2012 to June 2014, and as a Research Assistant at Walchand College of Engineering, Sangli, from August 2010 to July 2012. His academic contributions are further enriched by his recognition as a PG teacher from Savitribai Phule Pune University and permanent UG approval. Overall, Dr. Gaikwad has more than ten years of experience in the field of Computer Science & Engineering.

Research Interest

Dr. Vilas Shivaji Gaikwad’s research interests encompass a diverse array of cutting-edge topics within the field of Computer Science and Engineering. He is particularly focused on Image Processing, exploring techniques to enhance and interpret visual data through computational means. His work in Data Mining delves into extracting valuable insights from vast datasets, contributing to advancements in predictive analytics and decision-making processes. Additionally, Dr. Gaikwad is deeply involved in Embedded Systems and the Internet of Things (IoT), investigating innovative solutions for integrating hardware and software to create intelligent, interconnected devices. His Ph.D. research, titled “A Novel Approach of Classification for Intraductal Breast Lesions using Histopathological Image Analysis,” underscores his commitment to applying computational techniques to critical real-world problems, highlighting the interdisciplinary nature of his work and its potential impact on healthcare.

Award and Honors

Dr. Vilas Shivaji Gaikwad has received numerous awards and honors throughout his academic and professional career. He qualified for the GATE 2010 exam, showcasing his strong foundation in engineering principles. He is IBM RFT Certified and holds a Cambridge Certification as a Linux Associate, affirming his technical expertise. Dr. Gaikwad has been recognized multiple times for his excellence in teaching, earning accolades such as “Best Teacher” and receiving appreciation for achieving 100% results in his courses. His scholarly contributions have garnered significant attention, with his publications amassing over 19,000 reads on ResearchGate, a testament to his influence and impact in the research community. These recognitions underscore Dr. Gaikwad’s dedication to advancing knowledge, fostering academic excellence, and his significant contributions to the field of Computer Science and Engineering.

Research Skills

Dr. Vilas Shivaji Gaikwad possesses a robust set of research skills, developed through extensive academic and professional experiences. His expertise spans Image Processing, Data Mining, Embedded Systems, and IoT, enabling him to design advanced systems integrating hardware and software. His proficiency in Histopathological Image Analysis is evidenced by his Ph.D. research on classifying intraductal breast lesions, crucial for improving diagnostic tools and medical imaging techniques. Dr. Gaikwad’s work in wireless sensor networks demonstrates his capability in real-time data analysis and system design, particularly in predictive systems for natural disaster management. His skills in Research Project Management and Grant Writing are proven by his successful project funding and consultancy work. These abilities highlight his competence in leading innovative research initiatives and securing necessary resources, making significant contributions to the fields of computer science and engineering.

Publications

  • Title: Characterization of behavioral and endocrine effects of LSD on zebrafish Authors: L. Grossman, E. Utterback, A. Stewart, S. Gaikwad, K.M. Chung, C. Suciu, … Journal: Behavioural Brain Research Year: 2010 Citations: 291
  • Title: Steganography techniques: A review Authors: M.P.R. Kamble, M.P.S. Waghamode, M.V.S. Gaikwad, M.G.B. Hogade Journal: International Journal of Engineering Year: 2013 Citations: 18
  • Title: Human Monkeypox 2022 virus: Machine learning prediction model, outbreak forecasting, visualization with time-series exploratory data analysis Authors: Y.H. Bhosale, S.R. Zanwar, A.T. Jadhav, Z. Ahmed, V.S. Gaikwad, K.S. Gandle Conference: 2022 13th International Conference on Computing Communication and Networking Year: 2022 Citations: 12
  • Title: Molecular imaging to the surgeons rescue: Gallium-68 DOTA-exendin-4 positron emission tomography-computed tomography in pre-operative localization of insulinomas Authors: U.N. Pallavi, V. Malasani, I. Sen, P. Thakral, S. Dureja, V. Pant, V.S. Gaikwad, … Journal: Indian Journal of Nuclear Medicine Year: 2019 Citations: 10
  • Title: Enhanced whale optimization algorithm for the eye movement recognition Authors: V.S. Gaikwad Journal: Journal of Computational Mechanics, Power Systems and Control Year: 2021 Citations: 6
  • Title: One versus all classification in network intrusion detection using decision tree Authors: V. Gaikwad, P.J. Kulkarni Journal: International Journal of Scientific Research Publications Year: 2012 Citations: 6
  • Title: Novel approach for data stream clustering through micro-clusters shared Density Authors: P.V. Desai, V.S. Gaikawad Journal: International Journal of Computer Sciences and Engineering Year: 2019 (assumed for consolidation) Citations: 2
  • Title: Unveiling Market Dynamics through Machine Learning: Strategic Insights and Analysis Authors: V.S. Gaikwad, S.S. Deore, G.M. Poddar, R.V. Patil, D.S. Hirolikar, M.P. Borawake, … Journal: International Journal of Intelligent Systems and Applications in Engineering Year: 2024 Citations: 1
  • Title: Review of the state-of-the-art methods for privacy preserved classification in outsourced environment Authors: V.S. Gaikwad, K.H. Walse, V.M. Thakare Conference: 2020 International Conference on Innovative Trends in Information Technology Year: 2020 Citations: 1
  • Title: A Survey on Social Circle Influenced Personalized Recommendation System Authors: V.J. Kadam, V.S. Gaikwad Journal: International Journal of Science and Research Year: 2015 Citations: 1