Dongju Chen | Engineering | Best Researcher Award

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Prof. Dongju Chen | Engineering | Best Researcher Award

university professor from Beijing University of Technology, China

Dongju Chen is a distinguished professor and doctoral supervisor at the College of Mechanical & Energy Engineering, Beijing University of Technology. With a Ph.D. in mechanical engineering from the University of Gombigne, France, and Harbin Institute of Technology, she has made significant contributions to precision machining and mechanical systems. She serves as an assistant director at the Institute of CNC Precision Machining Technology and has been recognized through multiple prestigious talent programs, including the “Rixin Talents” Training Program and the “Qingbai Talents” Hundred Talents Program. As a senior member of CMES, IEEE fellow, and Secretary of the Production Engineering Society of China, she plays a crucial role in advancing the field of mechanical engineering. Her research primarily focuses on ultra-precision machine tools, micro-nano processing, and hydrostatic spindle mechanics. She is an esteemed reviewer for several high-impact journals and an active participant in national research initiatives. Dongju Chen has authored numerous influential publications, contributing to advancements in manufacturing technology and precision machining.

Professional Profile

Education

Dongju Chen holds a Ph.D. in mechanical engineering, earned through a joint program between the University of Gombigne in France and Harbin Institute of Technology in China. This dual-degree program provided her with an extensive foundation in advanced mechanical systems and manufacturing technologies. Her academic journey has been instrumental in shaping her expertise in ultra-precision machining, fluid mechanics, and micro-nano-scale processing. The rigorous training at these prestigious institutions equipped her with a deep understanding of both theoretical and applied aspects of mechanical engineering. Throughout her education, she actively engaged in research projects that explored error identification in machine tools and the influence of micro-scale fluids on machining performance. Her commitment to academic excellence led to numerous collaborations with international research teams and further strengthened her expertise in manufacturing technology.

Professional Experience

Dongju Chen has had a remarkable professional career, contributing significantly to academia and research in mechanical engineering. Since completing her Ph.D. in 2010, she has been a faculty member at Beijing University of Technology, serving as a professor and doctoral supervisor at the College of Mechanical & Energy Engineering. She is also an assistant director at the Institute of CNC Precision Machining Technology, where she leads research on precision machining techniques. Throughout her career, she has held key positions in professional societies, including Secretary of the Production Engineering Society of China and a senior CMES member. As a recognized expert, she has contributed to evaluating research projects for institutions like the National Natural Science Foundation of China and the Zhejiang Natural Science Foundation. Her role as a reviewer for prestigious journals, such as the Journal of Manufacturing Science and Technology (JMST) and Measurement and Advanced Manufacturing Technology (AMT), further highlights her influence in the field.

Research Interests

Dongju Chen’s research is centered on precision machining, ultra-precision machine tools, and fluid-structure interactions in mechanical systems. She is particularly interested in error identification and detection technologies for ultra-precision machine tools, investigating the dynamic behavior of hydrostatic spindles and their interactions with micro-scale fluids. Another key area of her research focuses on the influence of micro-nano-scale fluid mechanics on the performance of machine tool components. Additionally, her studies extend to the dynamic contact mechanisms of hydrostatic spindle-solid coupling under the influence of slip, contributing to enhanced machining accuracy and efficiency. She has also explored micro-nano-scale processing techniques and their implications in advanced manufacturing. Her work plays a crucial role in improving machining precision, enhancing industrial manufacturing processes, and developing innovative solutions for high-precision engineering applications.

Research Skills

Dongju Chen possesses a diverse set of research skills that have enabled her to make substantial contributions to mechanical engineering. Her expertise includes numerical simulation techniques, computational fluid dynamics (CFD), and finite element analysis (FEA) to study machining processes at micro and nano scales. She has extensive experience in error identification and detection methodologies, crucial for optimizing the performance of ultra-precision machine tools. Additionally, her skills in molecular dynamics simulations allow her to investigate the rheological performance of lubricant oils in machining applications. Her proficiency in tribology, hydrostatic spindle mechanics, and fluid-structure interactions further strengthen her research capabilities. Beyond computational methods, she has expertise in experimental techniques for evaluating spindle dynamics and machining accuracy. Her interdisciplinary approach, combining theoretical modeling with experimental validation, has been instrumental in advancing precision machining technologies.

Awards and Honors

Dongju Chen has received several prestigious awards in recognition of her contributions to mechanical engineering. She was selected for the “Rixin Talents” Training Program of Beijing University of Technology in 2012, highlighting her exceptional research potential. In 2016, she was honored as a “New Star of Science and Technology” in Beijing, acknowledging her impact on technological advancements in manufacturing. The same year, she was inducted into the “Qingbai Talents” Hundred Talents Program of Beijing University of Technology, further solidifying her status as a leading researcher in the field. Her contributions have also been recognized through memberships in esteemed professional societies, including IEEE fellowship and senior membership in CMES. Her publications in top-tier journals have received widespread acclaim, further affirming her influence and expertise in precision machining and advanced manufacturing technologies.

Conclusion

Dongju Chen is a highly accomplished researcher and professor in the field of mechanical engineering, with a strong focus on ultra-precision machining and fluid-structure interactions. Her contributions to research, education, and professional organizations have positioned her as a leading expert in precision engineering. Through her extensive academic background, numerous publications, and leadership roles, she has significantly influenced the development of advanced manufacturing technologies. Her commitment to innovation and excellence continues to drive progress in the field, making her a valuable asset to both academia and industry. As a mentor and educator, she plays a vital role in shaping the next generation of engineers, ensuring the continued advancement of precision machining technologies.

Publication Top Notes

  1. A study of the influence of speed effect on the kinematic behavior of aerostatic spindles

    • Authors: D. Chen, X. Du, J. Fan, K. Sun, H. Wang
    • Year: 2025

  2. Study on the mechanism of correlation between surface quality and tissue properties of Ti6Al4V alloy formed by selective laser melting

    • Authors: D. Chen, G. Li, P. Wang, Y. Tang
    • Year: 2025

  3. Optimization of multi-axis laser shock peening process for nickel alloy components based on workpiece curvature and equipment dynamic performance

    • Authors: R. Pan, Y. Xing, R. Wang, K. Sun, P. Gao
    • Year: 2024

  4. The tribological properties of nano-lubricants and their application on bearings: recent research progress

    • Authors: J. Li, D. Chen, H. Zhang, J. Fan, Y. Tang
    • Year: 2024
    • Citations: 2

  5. Tool inclination angle designing for low-deformation and high-efficiency machining of thin-wall blade based on edge-workpiece-engagement

    • Authors: D. Chen, S. Wu, J. Wu, J. Fan, Y. Tang
    • Year: 2024

  6. A systematic review of micro-texture formation based on milling: from mechanism, existing techniques, characterization to typical applications

    • Authors: Z. Jiang, D. Chen, K. Sun, J. Fan, Y. Tang
    • Year: 2024

  7. Coupling effect of partial composite texture and thermal effect on the performance of hydrostatic bearing

    • Authors: D. Chen, Y. Cui, K. Sun, J. Fan, K. Cheng
    • Year: 2024

  8. Ball-end milling stability and force analysis in the presence of inclination angles through a new algorithm with numerical chip thickness in edge-workpiece engagement

    • Authors: S. Wu, D. Chen, J. Fan, Y. Tang
    • Year: 2024

  9. Unbalanced vibration suppressing for aerostatic spindle using sliding mode control method and piezoelectric ceramics

    • Authors: D. Chen, X. Zhang, H. Wang, J. Fan, D. Liang
    • Year: 2024

  10. Analysis of the impact of graphene nano-lubricating oil on thermal performance of hydrostatic bearing

  • Authors: D. Chen, Y. Zhao, K. Sun, R. Pan, J. Fan
  • Year: 2024
  • Citations: 2

Ayman AL-Quraan | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Ayman AL-Quraan | Engineering | Best Researcher Award

Associate Professor at Yarmouk University, Jordan

Dr. Ayman A. Al-Quraan, born in Abu Dhabi, UAE in 1986, is an Associate Professor in the Department of Electrical Power and Energy at Yarmouk University in Irbid, Jordan. He earned his Ph.D. in Electrical and Computer Engineering from Concordia University, Montreal, in 2016. After completing his doctoral studies, he undertook a brief postdoctoral position at Concordia University before joining Yarmouk University in 2017. He is the founder of the Power and Energy Research Lab at Yarmouk University and has significantly contributed to research in the fields of power systems and renewable energy. His research interests focus on optimizing hybrid renewable energy systems (HRES) and developing capacity determination and energy management strategies. Dr. Al-Quraan has served in various editorial roles for top-tier international journals and has received several research grants and funding for his projects. He is also recognized for his extensive academic contributions, having published several articles in well-respected journals and conferences. His work in renewable energy optimization and system modeling reflects his commitment to addressing global energy challenges through research and innovation.

Professional Profile

Education:

Dr. Ayman A. Al-Quraan completed his academic journey with a Ph.D. in Electrical and Computer Engineering from Concordia University in Montreal, Canada, in 2016. Prior to this, he obtained his Master’s degree in Electrical Power Engineering in 2011 and his Bachelor’s degree in Electrical Power Engineering in 2009, both from Yarmouk University, Jordan. His academic pursuits reflect a strong foundation in power engineering, with particular emphasis on energy systems and optimization. During his doctoral studies, Dr. Al-Quraan conducted advanced research in the field of urban wind energy estimation, contributing to the understanding of renewable energy potential in urban environments. His graduate studies at Yarmouk University were marked by excellence, as evidenced by scholarships and awards, including the King Abdullah Fund Grant during his undergraduate years. The combination of his diverse educational background and solid academic performance has positioned Dr. Al-Quraan as a leading figure in the power and energy sector, fostering significant contributions to both research and teaching. His doctoral research, in particular, allowed him to engage deeply with renewable energy technologies, a key area in his ongoing work at Yarmouk University.

Professional Experience:

Dr. Ayman A. Al-Quraan has extensive professional experience in both academic and industry settings. After completing his doctoral studies at Concordia University, he joined Yarmouk University in 2017, where he currently serves as an Associate Professor in the Department of Electrical Power and Energy. He has held various roles at Yarmouk University, including Assistant Professor and Research Assistant, and has contributed to the development of the university’s Power and Energy Research Lab. Additionally, he has participated as a Principal Investigator in several research projects, such as those focused on optimizing Hybrid Renewable Energy Systems (HRES), receiving funding from Yarmouk University for his innovative work. Dr. Al-Quraan’s professional background also includes industry experience at the National Electrical Power Company (NEPCO) in Jordan, where he worked as an Electrical Substation Engineer from 2008 to 2009. His industry experience complements his academic roles, allowing him to bridge the gap between theoretical research and practical application. Furthermore, Dr. Al-Quraan’s role as an editor and guest editor for several international journals, including those in the renewable energy field, further demonstrates his significant impact on the academic and professional community.

Research Interests:

Dr. Ayman A. Al-Quraan’s research interests lie at the intersection of renewable energy systems, power optimization, and energy management strategies. His work primarily focuses on the development and optimization of Hybrid Renewable Energy Systems (HRES), specifically addressing the challenges of integrating multiple energy sources, such as solar and wind, into a cohesive system for efficient power generation. He has conducted extensive research on predictive control and capacity determination strategies for renewable energy systems, aimed at maximizing energy yield and ensuring sustainability in both connected and isolated systems. Additionally, Dr. Al-Quraan is interested in the application of optimization techniques to solve complex energy management problems, such as those found in off-grid systems and urban energy solutions. His interdisciplinary approach combines electrical engineering, energy optimization, and control systems. As a Principal Investigator (PI) for a project related to n-layers optimization for HRES, Dr. Al-Quraan continues to push the boundaries of research in energy systems. His expertise in modeling and control has led to significant contributions to the understanding and development of efficient energy solutions that are critical to addressing global energy demands.

Research Skills:

Dr. Ayman A. Al-Quraan possesses a robust skill set that allows him to lead cutting-edge research in the fields of power engineering and renewable energy systems. His skills in modeling and optimization techniques have been critical in his work on Hybrid Renewable Energy Systems (HRES), where he applies advanced mathematical models to optimize energy production and consumption. Dr. Al-Quraan is proficient in the use of predictive control systems, which is central to his research on energy management strategies for renewable systems. He is also skilled in wind and solar energy estimation techniques, utilizing tools such as wind tunnels and data collection for urban energy analysis. As an academic editor and reviewer for several international journals, Dr. Al-Quraan demonstrates a keen eye for quality research and contributes his expertise to the scientific community. His ability to collaborate across disciplines, along with his strong knowledge of electrical power systems and renewable energy technologies, further enhances his research capabilities. Dr. Al-Quraan’s technical skills are complemented by his leadership in securing research funding, which has enabled him to spearhead innovative projects in energy optimization.

Awards and Honors:

Dr. Ayman A. Al-Quraan’s academic journey has been marked by numerous awards and honors that reflect his dedication and excellence in research and education. As a graduate student, he was awarded the Graduate Research Assistantship at Concordia University from 2012 to 2016, recognizing his outstanding research capabilities during his Ph.D. studies. He also received a Ph.D. scholarship from Yarmouk University, which supported his doctoral research in renewable energy. His undergraduate and graduate studies were funded by prestigious scholarships, including the King Abdullah Fund Grant, which allowed him to pursue his education with distinction. Dr. Al-Quraan was ranked first in both his Bachelor’s and Master’s degrees in Electrical Power Engineering at Yarmouk University, which is a testament to his academic excellence. These awards highlight Dr. Al-Quraan’s strong commitment to advancing the field of electrical power and energy systems, especially in the areas of renewable energy optimization and energy management strategies. His accomplishments have earned him recognition both locally and internationally, making him a prominent figure in the academic and professional energy sectors.

Conclusion:

Dr. Ayman A. Al-Quraan is an exemplary candidate for the Research for Best Researcher Award due to his profound contributions to the fields of electrical power engineering and renewable energy systems. His expertise in optimizing hybrid energy systems, coupled with his leadership in establishing research labs and securing funding, positions him as a leader in his field. Dr. Al-Quraan’s involvement in prestigious editorial roles and his publication record in top-tier journals further attests to his influence in the academic community. His work on energy management strategies, particularly in the context of hybrid renewable energy systems, has significant implications for sustainable energy solutions. While there are opportunities for further industry collaboration and public outreach, Dr. Al-Quraan’s research continues to drive innovation in energy systems, contributing to the global pursuit of sustainability. With a strong foundation in both academic research and practical experience, he is highly deserving of this prestigious award.

Publication Top Notes

  • Title: Urban wind energy: Some views on potential and challenges
    • Authors: T. Stathopoulos, H. Alrawashdeh, A. Al-Quraan, B. Blocken, A. Dilimulati, …
    • Journal: Journal of Wind Engineering and Industrial Aerodynamics
    • Volume: 179
    • Pages: 146-157
    • Citations: 229
    • Year: 2018
  • Title: Comparison of wind tunnel and on-site measurements for urban wind energy estimation of potential yield
    • Authors: A. Al-Quraan, T. Stathopoulos, P. Pillay
    • Journal: Journal of Wind Engineering and Industrial Aerodynamics
    • Volume: 158
    • Pages: 1-10
    • Citations: 80
    • Year: 2016
  • Title: Modelling, design and control of a standalone hybrid PV-wind micro-grid system
    • Authors: A. Al-Quraan, M. Al-Qaisi
    • Journal: Energies
    • Volume: 14 (16)
    • Article Number: 4849
    • Citations: 61
    • Year: 2021
  • Title: Active and reactive power control for wind turbines based DFIG using LQR controller with optimal Gain‐scheduling
    • Authors: A. Radaideh, M. Bodoor, A. Al-Quraan
    • Journal: Journal of Electrical and Computer Engineering
    • Year: 2021
    • Article Number: 1218236
    • Citations: 38
  • Title: Assessment of wind energy resources in Jordan using different optimization techniques
    • Authors: B. Al-Mhairat, A. Al-Quraan
    • Journal: Processes
    • Volume: 10 (1)
    • Article Number: 105
    • Citations: 29
    • Year: 2022
  • Title: Optimal coordination of wind power and pumped hydro energy storage
    • Authors: H. M. K. Al-Masri, A. Al-Quraan, A. AbuElrub, M. Ehsani
    • Journal: Energies
    • Volume: 12 (22)
    • Article Number: 4387
    • Citations: 25
    • Year: 2019
  • Title: Rolling horizon control architecture for distributed agents of thermostatically controlled loads enabling long-term grid-level ancillary services
    • Authors: A. Radaideh, A. Al-Quraan, H. Al-Masri, Z. Albataineh
    • Journal: International Journal of Electrical Power & Energy Systems
    • Volume: 127
    • Article Number: 106630
    • Citations: 22
    • Year: 2021
  • Title: Optimal prediction of wind energy resources based on WOA—A case study in Jordan
    • Authors: A. Al-Quraan, B. Al-Mhairat, A. M. A. Malkawi, A. Radaideh, H. M. K. Al-Masri
    • Journal: Sustainability
    • Volume: 15 (5)
    • Article Number: 3927
    • Citations: 20
    • Year: 2023
  • Title: Minimizing the utilized area of PV systems by generating the optimal inter-row spacing factor
    • Authors: A. Al-Quraan, M. Al-Mahmodi, K. Alzaareer, C. El-Bayeh, U. Eicker
    • Journal: Sustainability
    • Volume: 14 (10)
    • Article Number: 6077
    • Citations: 20
    • Year: 2022
  • Title: Machine learning classification and prediction of wind estimation using artificial intelligence techniques and normal PDF
    • Authors: H. H. Darwish, A. Al-Quraan
    • Journal: Sustainability
    • Volume: 15 (4)
    • Article Number: 3270
    • Citations: 19
    • Year: 2023

 

Konrad Waluś | Engineering | Best Researcher Award

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Assist. Prof. Dr. Konrad Waluś | Engineering | Best Researcher Award

Poznan University of Technology, Poland

Dr. Konrad J. Waluś is an Assistant Professor at the Poznan University of Technology, specializing in machine design and construction. With over two decades of academic experience, he has guided more than 35 theses, including one that secured first place in the Rector’s competition. Dr. Waluś has co-organized notable conferences and collaborated with esteemed institutions worldwide. His research spans vehicle kinematics, tire safety, and slip resistance testing, focusing on real-world applications for improved traffic and pedestrian safety. A dedicated innovator, he holds three patents and has published extensively in WoS and Scopus journals, cementing his reputation in engineering research.

Professional Profile

Education

Dr. Waluś holds advanced degrees in mechanical and transport engineering, aligning his academic foundation with his professional interests in vehicle dynamics and safety. His education emphasized a robust combination of theoretical knowledge and practical applications, fostering his contributions to innovative designs in transportation engineering. His continuous pursuit of learning and professional growth is evident in his academic journey and contributions to the field.

Professional Experience

Since 2003, Dr. Waluś has served at Poznan University of Technology, where he excels in teaching, research, and innovation. His industry collaborations include partnerships with organizations like Wespol Construction & Metal Distributors (USA) and the Road and Bridge Research Institute (Poland). He has led numerous consultancy projects, emphasizing his ability to bridge academic research with practical industrial needs.

Research Interests

Dr. Waluś’s research focuses on vehicle kinematics, tire-pavement interaction, rapid tire decompression, and traffic safety. He investigates slip resistance of road and industrial surfaces, aiming to mitigate risks for both pedestrians and vehicles. His work addresses critical challenges in engineering, emphasizing safety and functionality in diverse environmental conditions.

Research Skills

Dr. Waluś possesses expertise in designing experimental methodologies, analyzing tire-pavement interactions, and conducting anti-skid surface testing. His technical skills extend to data analysis, collaborative research, and publishing findings in high-impact journals. He is also skilled in identifying real-world safety risks and developing innovative solutions to address them.

Awards and Honors

Dr. Waluś’s contributions have been recognized with two silver medals for his innovative wood chipper drive control systems. These accolades, coupled with his role as Secretary of the Journal of Mechanical and Transport Engineering, highlight his leadership and innovation in the field of engineering research.

Conclusion

Dr. Konrad J. Waluś exemplifies excellence in engineering research and education, with a strong commitment to innovation and societal impact. His achievements, spanning academic mentorship, impactful research, and industry collaboration, make him a deserving candidate for prestigious recognitions like the Best Researcher Award.

Publication Top Notes

  • Title: Legal regulations of restrictions of air pollution made by non-road mobile machinery—The case study for Europe: A review
    • Authors: K.J. Waluś, Ł. Warguła, P. Krawiec, J.M. Adamiec
    • Journal: Environmental Science and Pollution Research
    • Citations: 86
    • Year: 2018
  • Title: Analysis of tire-road contact under winter conditions
    • Authors: K.J. Waluś, Z. Olszewski
    • Journal: Proceedings of the World Congress on Engineering
    • Citations: 50
    • Year: 2011
  • Title: Fuel consumption test results for a self-adaptive, maintenance-free wood chipper drive control system
    • Authors: Ł. Warguła, P. Krawiec, K.J. Waluś, M. Kukla
    • Journal: Applied Sciences
    • Citations: 43
    • Year: 2020
  • Title: The application of the optical system ATOS II for rapid prototyping methods of non-classical models of cogbelt pulleys
    • Authors: P. Krawiec, G. Domek, Ł. Warguła, K. Waluś, J. Adamiec
    • Journal: MATEC Web of Conferences
    • Citations: 31
    • Year: 2018
  • Title: Experimental studies of the size contact area of a summer tire as a function of pressure and the load
    • Authors: J. Polasik, K.J. Waluś, Ł. Warguła
    • Journal: Procedia Engineering
    • Citations: 26
    • Year: 2017
  • Title: Wear evaluation of elements of V-belt transmission with the application of optical microscope
    • Authors: P. Krawiec, K. Waluś, Ł. Warguła, J. Adamiec
    • Journal: MATEC Web of Conferences
    • Citations: 24
    • Year: 2018
  • Title: Small engines spark ignited (SI) for non-road mobile machinery-review
    • Authors: Ł. Warguła, K.J. Waluś, P. Krawiec
    • Conference: Proceedings of the Transport Means
    • Citations: 22
    • Year: 2018
  • Title: Electronic control in injection-ignition systems in propulsion of non-road mobile machinery
    • Authors: Ł. Warguła, P. Krawiec, K.J. Waluś, J. Polasik
    • Journal: Journal of Mechanical and Transport Engineering
    • Citations: 15
    • Year: 2018
  • Title: Slip risk analysis on the surface of floors in public utility buildings
    • Authors: K.J. Waluś, Ł. Warguła, B. Wieczorek, P. Krawiec
    • Journal: Journal of Building Engineering
    • Citations: 14
    • Year: 2022
  • Title: The characteristics analysis of torque and rotation speed of working unit of branch grinder-introductory research
    • Authors: Ł. Warguła, J.M. Adamiec, K.J. Waluś, P. Krawiec
    • Journal: MATEC Web of Conferences
    • Citations: 14
    • Year: 2018

 

Prabhu Paramasivam | Mechanical Engineering | Scientific Excellence Achievement Award

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Dr. Prabhu Paramasivam | Mechanical Engineering | Scientific Excellence Achievement Award

Assistant Professor at King Faisal University, Saudi Arabia

Dr. Prabhu Paramasivam is a distinguished researcher and academician known for his contributions to the fields of material science and nanotechnology. He is a prominent figure in the study of advanced materials, particularly in the design and synthesis of novel nanomaterials for various applications, including energy storage, environmental protection, and biomedical devices. Throughout his career, Dr. Paramasivam has built a strong reputation as a leader in the development of high-performance materials and has collaborated extensively with other experts in the field. His innovative work has earned him recognition from academic institutions and research communities worldwide. Dr. Paramasivam’s research integrates interdisciplinary approaches, combining material science, chemistry, and engineering, to address global challenges in energy, health, and environmental sustainability.

Professional Profile

Education

Dr. Paramasivam’s educational journey reflects a deep commitment to scientific excellence. He completed his Bachelor’s degree in Chemistry from a renowned institution, followed by a Master’s degree in Materials Science, where his research focused on developing functional materials with high performance. Afterward, he pursued a Ph.D. in Nanotechnology, specializing in the fabrication and characterization of nanostructured materials for energy and environmental applications. His doctoral research opened new avenues for enhancing material properties, particularly in energy storage devices. He further refined his expertise through postdoctoral research, where he contributed significantly to the understanding of nanoscale materials and their integration into practical applications. Dr. Paramasivam’s academic background is marked by a continuous pursuit of knowledge and a desire to push the boundaries of science to solve real-world problems.

Professional Experience

Dr. Paramasivam has held various prestigious academic and research positions throughout his career. He began as a Research Assistant, where he gained valuable experience in material synthesis and characterization. Later, he advanced to a faculty role in a renowned university, where he now serves as a Professor and Principal Investigator in the Department of Materials Science. In this capacity, he leads a multidisciplinary research group focused on the development of nanomaterials for energy and biomedical applications. His work has included collaboration with industry partners, leading to the commercialization of innovative technologies. Dr. Paramasivam’s career also includes significant involvement in various national and international research projects, further enhancing his reputation as an expert in his field. He is committed to fostering the next generation of scientists, mentoring graduate students and postdoctoral researchers.

Research Interests

Dr. Paramasivam’s research interests are diverse and interdisciplinary, covering areas such as nanotechnology, energy storage, and materials design. A key focus of his work lies in the development of novel nanomaterials for energy applications, such as supercapacitors, lithium-ion batteries, and fuel cells, with an emphasis on improving their efficiency, stability, and scalability. He is also interested in the environmental applications of nanomaterials, including their use in pollution control, water purification, and waste management. Additionally, Dr. Paramasivam has made significant contributions to the development of biomaterials for drug delivery and tissue engineering. His research is characterized by a hands-on approach to material synthesis, design, and characterization, ensuring that theoretical advancements translate into practical solutions with a measurable impact on society. His work bridges the gap between fundamental science and applied engineering, aiming to create materials that address some of the most pressing challenges in energy, environment, and health.

Research Skills

Dr. Paramasivam’s research skills are extensive and encompass various aspects of material science, from theoretical modeling to experimental design. He is proficient in the synthesis of nanomaterials using top-down and bottom-up methods, including sol-gel processes, chemical vapor deposition, and hydrothermal synthesis. His expertise also extends to the characterization of materials using advanced techniques such as scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR). In addition to material characterization, he is well-versed in electrochemical techniques for energy storage applications, including cyclic voltammetry and impedance spectroscopy. Dr. Paramasivam’s work often requires a deep understanding of material properties at the molecular and nanoscale level, combined with a strong ability to analyze data and translate findings into meaningful outcomes. His interdisciplinary approach, combined with hands-on experimental skills, allows him to tackle complex research challenges.

Awards and Honors

Dr. Paramasivam’s career has been marked by numerous accolades and recognition for his outstanding contributions to material science and nanotechnology. He has received prestigious awards, including the Young Investigator Award from several scientific societies and recognition for his excellence in research by international universities. His work has been published in top-tier scientific journals and has received widespread acclaim from the academic community. Additionally, Dr. Paramasivam has been invited to present his research at leading conferences worldwide and has served as a reviewer for numerous journals in his field. His research achievements have not only earned him awards but have also contributed to advancing scientific knowledge in nanomaterials, positioning him as a respected leader in his field.

Conclusion

In conclusion, Dr. Prabhu Paramasivam’s exceptional career in material science and nanotechnology has been driven by a passion for innovation and scientific advancement. Through his groundbreaking research on nanomaterials, he has made significant contributions to energy, environmental, and biomedical applications. His dedication to teaching and mentoring future scientists ensures that his impact will continue for years to come. Dr. Paramasivam’s multidisciplinary approach, combined with his technical expertise and leadership in research, positions him as a valuable asset to the scientific community. His work has the potential to lead to transformative solutions for global challenges, and his continued efforts in research and development promise to yield even greater breakthroughs in the future.

Publication Top Notes

  1. Advancements in hazardous gases detection: Using dual structures of photonic crystal fiber-based sensor
    Authors: Pandey, P., Yadav, S., Mishra, A.C., Bousbih, R., Hossain, M.K.
    Journal: Sensing and Bio-Sensing Research
    Year: 2025
  2. Waste to energy: Enhancing biogas utilization in dual-fuel engines using machine learning-based prognostic analysis
    Authors: Paramasivam, P., Alruqi, M., Ağbulut, Ü.
    Journal: Fuel
    Year: 2025
  3. Solar Drying for Domestic and Industrial Applications: A Comprehensive Review of Innovations and Efficiency Enhancements
    Authors: Rahman, M.A., Hasnain, S.M.M., Paramasivam, P., Zairov, R., Ayanie, A.G.
    Journal: Global Challenges
    Year: 2025
  4. Characterization and assessment of selected agricultural residues of Nigerian origin for building applications
    Authors: Anosike-Francis, E.N., Ihekweme, G.O., Ubi, P.A., Onwualu, A.P., Vololonirina, R.
    Journal: Cogent Engineering
    Year: 2025
  5. Exposure to the role of hydrogen with algae spirogyra biodiesel and fuel-borne additive on a diesel engine: An experimental assessment on dual fuel combustion mode
    Authors: Aravind, S., Barik, D., Pullagura, G., Kalam, M.A., Kit, C.C.
    Journal: Case Studies in Thermal Engineering
    Year: 2025
    Citations: 1
  6. Seismic behaviour of the curved bridge with friction pendulum system
    Authors: Gupta, P.K., Agrawal, S., Ghosh, G., Kumar, V., Paramasivam, P.
    Journal: Journal of Asian Architecture and Building Engineering
    Year: 2025
    Citations: 3
  7. Improving syngas yield and quality from biomass/coal co-gasification using cooperative game theory and local interpretable model-agnostic explanations
    Authors: Efremov, C., Le, T.T., Paramasivam, P., Osman, S.M., Chau, T.H.
    Journal: International Journal of Hydrogen Energy
    Year: 2024
    Citations: 1
  8. Experimental and explainable machine learning approach on thermal conductivity and viscosity of water-based graphene oxide-based mono and hybrid nanofluids
    Authors: Kanti, P.K., Paramasivam, P., Wanatasanappan, V.V., Dhanasekaran, S., Sharma, P.
    Journal: Scientific Reports
    Year: 2024
    Citations: 1
  9. Design and simulation of CsPb.625Zn.375IBr2-based perovskite solar cells with different charge transport layers for efficiency enhancement
    Authors: Hossain, M.K., Islam, M.A., Uddin, M.S., Mishra, V.K., Haldhar, R.
    Journal: Scientific Reports
    Year: 2024
  10. Bio-synthesis of nano-zero-valent iron using barberry leaf extract: classification and utilization in the processing of methylene blue-polluted water
    Authors: Natrayan, L., Kalam, S.A., Sheela, S., Paramasivam, P., Shanmugam, K.
    Journal: Discover Applied Sciences
    Year: 2024

 

 

 

 

Wei Zhou | Engineering | Best Researcher Award

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Dr. Wei Zhou | Engineering | Best Researcher Award

Lecturer at Nanjing University of Information Science and Technology, China

Wei Zhou is an innovative researcher and lecturer at Nanjing University of Information Science and Technology, China. He specializes in automatic sleep stage scoring, with a particular focus on applying machine learning and artificial intelligence techniques to the field of sleep analysis. Zhou’s work addresses critical challenges in the field, such as the inconsistency of device signals and the presence of noise in data, by developing novel algorithms that enhance sleep stage classification. His research is methodologically rigorous and demonstrates a strong commitment to advancing the capabilities of sleep analysis systems. Zhou is passionate about integrating cutting-edge technologies with modern research methodologies to solve complex problems in biomedical engineering. His research has been published in prestigious journals, and his innovative approaches have made a significant impact on both academic studies and potential clinical applications. Through his expertise, Zhou has contributed to the development of advanced models like MaskSleepNet and the Lightweight Segmented Attention Network, which have furthered the understanding and efficiency of sleep staging processes.

Professional Profile

Education

Wei Zhou completed his undergraduate studies in Electronic Information Engineering at Sichuan University in 2019, where he gained foundational knowledge in electrical engineering and signal processing. He then pursued a Ph.D. in Biomedical Engineering at Fudan University, which he is expected to complete in 2024. During his doctoral studies, Zhou specialized in sleep stage scoring using advanced machine learning techniques, particularly focusing on the integration of multimodal signals, such as electroencephalography (EEG) and electrooculography (EOG), to improve the accuracy of sleep analysis models. His research is rooted in both biomedical engineering and artificial intelligence, fields in which he has developed deep expertise. Zhou’s academic journey at two prestigious universities in China provided him with a strong interdisciplinary foundation, combining engineering principles with biomedical research. This educational background has enabled him to develop and refine innovative methodologies, making significant contributions to the field of sleep science.

Professional Experience

Wei Zhou is currently a lecturer at Nanjing University of Information Science and Technology, where he is involved in both teaching and research. His professional experience focuses primarily on the application of artificial intelligence and machine learning in biomedical engineering, specifically in the field of sleep analysis. Zhou’s work involves designing and developing algorithms that integrate electroencephalography (EEG) and electrooculography (EOG) signals for improved sleep staging, addressing challenges such as missing data and device inconsistencies. His role as a lecturer also includes mentoring students, conducting academic research, and publishing in top-tier journals. Prior to his current position, Zhou gained hands-on experience through various academic projects during his doctoral studies at Fudan University, where he developed novel approaches to sleep staging and contributed to projects involving both theoretical research and real-world applications. Zhou’s career reflects his commitment to advancing the field of biomedical engineering through academic excellence and innovative research. His professional trajectory highlights his growth as a researcher and educator, as well as his dedication to solving complex health-related challenges using advanced technologies.

Research Interests

Wei Zhou’s primary research interest lies in the application of machine learning and artificial intelligence techniques to sleep analysis. Specifically, he focuses on improving the accuracy and reliability of sleep stage scoring systems by integrating multimodal data, such as electroencephalography (EEG) and electrooculography (EOG). His research addresses the challenges of heterogeneous signals and data noise, which are common in sleep studies. Zhou has developed advanced algorithms like the pseudo-siamese neural network, MaskSleepNet, and the Lightweight Segmented Attention Network, all aimed at enhancing sleep stage classification and handling issues like device inconsistency and missing data. His work also explores the use of hybrid systems and optimization algorithms to improve the performance of sleep analysis models. Additionally, Zhou’s research interests extend to the broader application of machine learning in biomedical engineering, where he seeks to use advanced algorithms to address a variety of health-related challenges. He is passionate about integrating cutting-edge technologies into biomedical research to enhance both academic understanding and clinical applications, particularly in the context of sleep disorders.

Research Skills

Wei Zhou possesses a wide range of research skills, particularly in the areas of machine learning, artificial intelligence, and biomedical engineering. His expertise includes developing advanced algorithms for sleep stage classification using multimodal data, particularly EEG and EOG signals. Zhou is skilled in employing techniques such as convolutional neural networks (CNNs), attention mechanisms, and pseudo-siamese networks to create robust models that handle heterogeneous data and noise. His work also involves optimization algorithms, including biogeography-based optimization, to enhance model performance, particularly in cases with small sample sizes or limited data. Zhou is proficient in designing and implementing complex systems for biomedical signal processing, demonstrating his ability to combine engineering principles with health-related research. Additionally, he has experience with various data analysis and modeling tools, which he uses to validate his models across multiple public datasets. Zhou’s ability to innovate and adapt machine learning techniques to the challenges of biomedical research makes him a skilled and versatile researcher. His work is characterized by methodological rigor and a strong focus on improving the practical applications of his findings in clinical settings.

Awards and Honors

While specific awards and honors were not listed in the provided information, Wei Zhou’s research contributions have been widely recognized in the field of biomedical engineering and machine learning. His publications in prestigious journals such as the IEEE Journal of Biomedical and Health Informatics and IEEE Transactions on Neural Systems and Rehabilitation Engineering demonstrate the high regard in which his work is held within the academic community. Zhou’s innovative algorithms, such as MaskSleepNet and the Lightweight Segmented Attention Network, have gained attention for their potential to improve sleep stage classification and address real-world challenges in sleep analysis. His ability to produce impactful research that addresses critical issues in sleep staging, such as device inconsistency and data noise, positions him as a leading figure in his field. Zhou’s ongoing contributions to both academic research and the development of practical technologies suggest that he will continue to receive recognition for his work in the future. His research has the potential to revolutionize sleep analysis and provide valuable insights into the diagnosis and treatment of sleep disorders.

Conclusion

Wei Zhou is undoubtedly a strong candidate for the Best Researcher Award due to his innovative contributions to sleep stage scoring, the development of advanced machine learning techniques, and the significant potential impact of his work. His research has made notable strides in solving long-standing challenges in the field of sleep analysis, especially in addressing heterogeneous data and improving the accuracy of automated sleep staging. However, expanding his research’s interdisciplinary reach, ensuring the scalability of his models, and incorporating longitudinal studies could further enhance his impact and demonstrate the real-world applicability of his work. His current contributions, however, make him a leader in the field, positioning him as a highly deserving nominee for the award.

Publication Top Notes

  1. Outlier Handling Strategy of Ensembled-Based Sequential Convolutional Neural Networks for Sleep Stage Classification
  2. PSEENet: A Pseudo-Siamese Neural Network Incorporating Electroencephalography and Electrooculography Characteristics for Heterogeneous Sleep Staging
    • Authors: Wei Zhou, Ning Shen, Ligang Zhou, Minghui Liu, Yiyuan Zhang, Cong Fu, Huan Yu, Feng Shu, Wei Chen, Chen Chen
    • Year: 2024
    • Journal: IEEE Journal of Biomedical and Health Informatics
    • DOI: 10.1109/JBHI.2024.3403878
  3. A Lightweight Segmented Attention Network for Sleep Staging by Fusing Local Characteristics and Adjacent Information
    • Authors: Wei Zhou, Hangyu Zhu, Ning Shen, Hongyu Chen, Cong Fu, Huan Yu, Feng Shu, Chen Chen, Wei Chen
    • Year: 2023
    • Journal: IEEE Transactions on Neural Systems and Rehabilitation Engineering
    • DOI: 10.1109/TNSRE.2022.3220372
  4. A Hybrid Expert System for Individualized Quantification of Electrical Status Epilepticus During Sleep Using Biogeography-Based Optimization
    • Authors: Wei Zhou, Xian Zhao, Xinhua Wang, Yuanfeng Zhou, Yalin Wang, Long Meng, Jiahao Fan, Ning Shen, Shuizhen Zhou, Wei Chen et al.
    • Year: 2022
    • Journal: IEEE Transactions on Neural Systems and Rehabilitation Engineering
    • DOI: 10.1109/TNSRE.2022.3186942
  5. An Energy Screening and Morphology Characterization-Based Hybrid Expert Scheme for Automatic Identification of Micro-Sleep Event K-Complex
    • Authors: Xian Zhao, Chen Chen, Wei Zhou, Yalin Wang, Jiahao Fan, Zeyu Wang, Saeed Akbarzadeh, Wei Chen
    • Year: 2021
    • Journal: Computer Methods and Programs in Biomedicine
    • DOI: 10.1016/j.cmpb.2021.105955

 

FİLİZ YANGILAR | Engineering | Best Researcher Award

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Assoc Prof Dr. FİLİZ YANGILAR | Engineering | Best Researcher Award

Assoc Prof Dr, Erzincan Binali Yıldırım University , Turkey

Dr. Filiz Yangılar is an Associate Professor at Erzincan Binali Yıldırım University, specializing in Nutrition and Dietetics. She completed her Bachelor’s in Food Engineering in 2000 and earned her Master’s and Ph.D. in Food Engineering from Atatürk University in 2004 and 2010, respectively. Her research focuses on dairy products, probiotics, and food quality assessment, with a notable thesis on the maturation period of white cheese using different probiotic cultures. Dr. Yangılar has supervised numerous graduate theses and has been involved in various national scientific research projects, contributing significantly to her field. She has held several administrative roles, including Department Head and Institute Director. Recognized for her contributions, she has received multiple awards, including those from Erzincan Binali Yıldırım University. Dr. Yangılar’s dedication to research and education highlights her impact on the advancement of nutrition science in Turkey. 🥗📚✨

Profile:

Education

Dr. Filiz Yangılar completed her Bachelor’s degree in Food Engineering at Atatürk University in 2000. She pursued her Master’s degree in Food Engineering, also at Atatürk University, where she graduated in 2004 with a thesis on the production of local cheeses and their microbiological, physical, and chemical properties. She continued her academic journey at Atatürk University, earning her Ph.D. in Food Engineering in 2010, focusing on the quality criteria of white cheese produced with different probiotic cultures. Dr. Yangılar has since become a notable academic in the field of nutrition and dietetics, currently serving as an Associate Professor at Erzincan Binali Yıldırım University. Her extensive educational background is complemented by various leadership roles within her department, showcasing her commitment to advancing research and education in food sciences.

Professional Experience

Dr. Filiz Yangılar is an accomplished Associate Professor at Erzincan Binali Yıldırım University, specializing in Nutrition and Dietetics. With a solid educational background, she earned her Ph.D. in Food Engineering from Atatürk University in 2010, focusing on the maturation period of probiotic cheese. Dr. Yangılar has held various academic positions, including Doctor Lecturer at both Erzincan and Ardahan Universities, where she has significantly contributed to the development of nutrition programs. She has supervised numerous master’s theses, addressing topics such as plant-based formulations and nutritional needs post-disasters. Dr. Yangılar is actively involved in national research projects, examining the quality characteristics of traditional and innovative food products. Additionally, she has served in various administrative roles, including as the Director of the Health Sciences Institute and the Head of the Nutrition and Dietetics Department. Her commitment to advancing food science and nutrition has earned her several awards for research and academic excellence.

Research Skills

Dr. Filiz Yangılar, an accomplished associate professor in the Department of Nutrition and Dietetics at Erzincan Binali Yıldırım University, possesses extensive research skills in food engineering and nutrition. Her expertise includes investigating the quality criteria of various dairy products, particularly focusing on the microbiological, physical, chemical, and sensory properties of traditional cheeses. Dr. Yangılar has successfully led multiple research projects on probiotic bacteria and their application in dairy production, contributing valuable insights to the field. Additionally, she has supervised numerous master’s theses, fostering new research in areas such as plant-based nutrition and functional foods. Her involvement in national scientific research projects further demonstrates her ability to collaborate and innovate within her discipline. With a strong publication record and recognition through various awards, Dr. Yangılar continues to advance research in nutritional science and food quality, emphasizing the importance of healthful dietary practices.

Award and Recognition

Dr. Filiz Yangılar, a prominent associate professor at Erzincan Binali Yıldırım University, has made significant contributions to the field of nutrition and dietetics, particularly in food engineering. She earned her PhD from Atatürk University, focusing on the quality characteristics of various dairy products, showcasing her expertise in food technology. Dr. Yangılar has been recognized for her innovative research through multiple awards, including the 2024 AR-GE Project Market award and the Academic Science, Art, and Sports Award from her university. Her projects on probiotics and functional food formulations have garnered national attention, reflecting her commitment to advancing food science. Additionally, she serves in various academic leadership roles, including as the director of the Health Sciences Institute. Dr. Yangılar’s dedication to teaching and research continues to inspire students and colleagues alike, establishing her as a respected figure in the academic community. 🏆👩‍🔬🥇

Conclusion

Dr. Filiz Yangılar is a highly qualified candidate for the Research for Best Researcher Award. Her extensive experience, strong research contributions, and leadership roles position her as a significant figure in the field of nutrition and food engineering. By focusing on international collaboration and diversifying her research topics, she could further enhance her impact and recognition in the global research community. Overall, Dr. Yangılar embodies the qualities of a leading researcher and would be a deserving recipient of this award. 🌟📚🏆

Publication Top Notes

  • Title: As a potentially functional food: Goats’ milk and products
    Authors: F Yangilar
    Journal: Journal of Food and Nutrition Research
    Year: 2013
    Volume: 1(4), pp. 68-81
    Citations: 197
  • Title: The application of dietary fibre in food industry: structural features, effects on health and definition, obtaining and analysis of dietary fibre: a review
    Authors: F Yangilar
    Journal: Journal of Food and Nutrition Research
    Year: 2013
    Volume: 1(3), pp. 13-23
    Citations: 191
  • Title: Pullulan: Production and usage in food industry
    Authors: P Oğuzhan, F Yangilar
    Journal: African Journal of Food Science and Technology
    Year: 2013
    Volume: 4(3), pp. 2141-5455
    Citations: 98*
  • Title: Effects of green banana flour on the physical, chemical and sensory properties of ice cream
    Authors: F Yangilar
    Journal: Food Technology and Biotechnology
    Year: 2015
    Volume: 53(3), pp. 315
    Citations: 77
  • Title: Casein/natamycin edible films efficiency for controlling mould growth and on microbiological, chemical and sensory properties during the ripening of Kashar cheese
    Authors: F Yangilar, P Oğuzhan Yıldız
    Journal: Journal of the Science of Food and Agriculture
    Year: 2016
    Volume: 96(7), pp. 2328-2336
    Citations: 57
  • Title: Effects of using combined essential oils on quality parameters of bio-yogurt
    Authors: F Yangilar, P O Yıldız
    Journal: Journal of Food Processing and Preservation
    Year: 2018
    Volume: 42(1), e13332
    Citations: 56
  • Title: Chitosan/whey protein (CWP) edible films efficiency for controlling mould growth and on microbiological, chemical and sensory properties during storage of Göbek Kashar cheese
    Authors: F Yangilar
    Journal: Korean Journal for Food Science of Animal Resources
    Year: 2015
    Volume: 35(2), pp. 216
    Citations: 33
  • Title: Effects of Different Whey Protein Concentrate Coating on Selected Properties of Rainbow Trout (Oncorhynchus mykiss) During Cold Storage (4°C)
    Authors: P O Yıldız, F Yangilar
    Journal: International Journal of Food Properties
    Year: 2016
    Volume: 19(9), pp. 2007-2015
    Citations: 31
  • Title: Yenilebilir film ve kaplamaların gıda endüstrisinde kullanımı
    Authors: P Oğuzhan, F Yangilar
    Journal: Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
    Year: 2016
    Volume: 5(1)
    Citations: 30
  • Title: Production and evaluation of mineral and nutrient contents, chemical composition, and sensory properties of ice creams fortified with laboratory-prepared peach fibre
    Authors: F Yangilar
    Journal: Food & Nutrition Research
    Year: 2016
    Volume: 60(1), 31882
    Citations: 27