Wenzhou Yu | Metallurgical Engineering | Best Researcher Award

Assoc. Prof. Dr. Wenzhou Yu | Metallurgical Engineering | Best Researcher Award

Associate Professor at Chongqing University, China

Wenzhou Yu is an Associate Professor at Chongqing University, specializing in metallurgical engineering with a focus on metal recovery from industrial solid waste. He obtained his Bachelor’s degree from Central South University (2007), followed by a Master’s and PhD from Kunming University of Science and Technology (2010, 2014). He was a visiting scholar at the University of Tokyo in 2022. With over 40 high-level publications, Wenzhou Yu’s research explores vacuum thermal reduction technology to recover valuable metals from solid waste, achieving significant improvements in recovery efficiency and minimizing secondary waste. He is also a member of The Iron and Steel Institute of Japan (ISIJ).

Publication Profile :ย 

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Educational Background ๐ŸŽ“

Wenzhou Yu is an Associate Professor at Chongqing University, specializing in metallurgical engineering. He earned his Bachelor’s degree from Central South University (China) in 2007, followed by a Master’s degree (2010) and a PhD (2014) from Kunming University of Science and Technology (China). In 2022, he served as a visiting scholar at the University of Tokyo for a year. Throughout his academic journey, Wenzhou has published over 40 high-level research papers, contributing significantly to his field. He is also a member of The Iron and Steel Institute of Japan (ISIJ) and serves as a guest editor for Crystals.

Professional Experience ๐Ÿ’ผ

Wenzhou Yu has played a pivotal role in advancing research on metal recovery from industrial waste, with numerous collaborations and contributions to cutting-edge technology. His involvement in projects funded by the National Natural Science Foundation of China and industry consultations has further solidified his reputation in the field. His academic efforts are also recognized internationally, with editorial responsibilities and over 40 published papers in renowned journals. ๐Ÿ“š๐Ÿ’ก

Research Interests ๐Ÿ”ฌ

Wenzhou Yuโ€™s primary research focuses on the recovery of valuable metals from industrial solid waste. His work includes developing a vacuum thermal reduction technology to recover metals from materials like red mud, coal fly ash, and polycrystalline silicon kerf loss. His contributions to improving recovery efficiency and minimizing secondary waste have the potential for industrial applications, promoting sustainable practices in metallurgy and waste management. ๐ŸŒฑ๐Ÿ”ฌ

Awards and Patents:

Wenzhou Yu holds multiple patents and has been recognized for his pioneering work in the field of waste-to-metal recovery. He is currently nominated for the Best Researcher Award for his innovative contributions. ๐Ÿ†๐Ÿ”ง

Publications ๐Ÿ“š

  • ๐Ÿ“ A new strategy for extracting aluminum and iron from red mud via vacuum thermal reduction, alkali-leaching and magnetic separation
    Wen, J., Yu, W., Yuan, H., Xiong, T., Yang, F.
    Journal of Cleaner Production, 2024, 485, 144409


  • โ™ป๏ธ Eco-Friendly and Efficient Alumina Recovery from Coal Fly Ash by Employing CaO as an Additive During the Vacuum Carbothermic Reduction and Alkali Dissolution
    Rao, Z., Yu, W., Yuan, H., Yang, F., Nyarko-Appiah, J.E.
    Journal of Sustainable Metallurgy, 2024, 10(4), pp. 2216โ€“2226, 131010


  • ๐ŸŒ A new strategy for CO2 storage and Al2O3 recovery from blast furnace slag and coal fly ash by employing vacuum reduction and alkali dissolution methods
    Yuan, H., Yu, W., Wen, J., Nyarko-Appiah, J.E., Bai, C.
    Energy, 2024, 308, 132865


  • ๐Ÿ”ฌ Influencing mechanism of (V, Ti)@(C, N) compounds on the viscosity of hot metal
    Jiang, Z., Yu, W., Song, L., Hu, M., Bai, C.
    Ironmaking and Steelmaking, 2024, 51(5), pp. 397โ€“410


  • ๐Ÿ”ง The Enhancing Mechanism of Na2SO4 on Mullite Decomposition and Alumina Recovery During the Vacuum Carbothermic Reduction of Coal Fly Ash
    Nyarko-Appiah, J.E., Yu, W., Song, L., Wei, P., Chen, H.
    Journal of Sustainable Metallurgy, 2024, 10(2), pp. 810โ€“821


  • โš™๏ธ Separation of magnesium vapor and carbon monoxide during the vacuum carbothermal reduction of MgO by employing polycrystalline silicon cutting waste as the separation agent
    Yang, F., Yu, W., Wang, W., Jiang, W., Zhu, Y.
    Separation and Purification Technology, 2024, 332, 125798


  • ๐Ÿ’ก Oxygen removal and silicon recovery from polycrystalline silicon kerf loss by combining vacuum magnesium thermal reduction and hydrochloric acid leaching
    Yang, F., Yu, W., Wen, J., Jiang, W., Emmanuel, N.-A.J.
    Journal of Environmental Management, 2023, 338, 117829


  • ๐ŸŒฑ An efficient and environmental friendly strategy for alumina extraction and Feโ€“Si alloys production from coal fly ash by combining vacuum thermal reduction, alkali dissolving, and magnetic separation
    Yu, W., Rao, Z., Yuan, H., Nyarko-Appiah, J.E., Jiang, W.
    Journal of Cleaner Production, 2023, 408, 137129


  • ๐Ÿ”จ Fe-Si alloys production and alumina extraction from coal fly ash via the vacuum thermal reduction and alkaline leaching
    Chen, H., Yu, W., Jiang, Z., Wei, P., Nyarko-Appiah, J.E.
    Fuel Processing Technology, 2023, 244, 107702


  • ๐Ÿ’Ž Softeningโ€“Melting Properties and Slag Evolution of Vanadium Titano-Magnetite Sinter in Hydrogen-Rich Gases
    Xin, R., Zhao, J., Gao, X., Dang, J., Bai, C.
    Crystals, 2023, 13(2), 210


 

 

 

Bin Liang | Materials Science | Best Researcher Award

Mr. Bin Liang | Materials Science | Best Researcher Award

Professor at Institute of Metal Research, Chinese Academy of Sciences, China

๐ŸŒŸ Dr. Bin Liang is a leading researcher in materials science and a Professor at IMR, CAS. With over 56 journal publications, 21 patents, and extensive contributions to advanced ceramics, he is at the forefront of innovation in high-performance materials. His expertise spans cutting-edge research and global collaborations, making a significant impact in both academia and industry. ๐ŸŒ๐Ÿ“š๐Ÿ”ฌ

Publication Profile :ย 

Scopus

Educational Background ๐ŸŽ“

Dr. Bin Liang earned his Ph.D. in Materials Science from Harbin Institute of Technology (HIT) in 2017. During his doctoral studies, he expanded his academic horizon as a visiting scholar at the University of Michigan. Prior to his Ph.D., he laid the foundation for his expertise with rigorous education in materials science.

Professional Experience ๐Ÿ’ผ

Dr. Liang is a Professor at the Institute of Metal Research, Chinese Academy of Sciences (IMR, CAS), a position he has held since 2021. Before joining IMR, he was a postdoctoral researcher affiliated with Tsinghua Shenzhen International Graduate School (Tsinghua SIGS) at Tsinghua University. Over the years, Dr. Liang has been pivotal in advancing the field of materials science, particularly focusing on ceramics and ceramic (-metal) matrix composites. His international collaborations, notably with the Department of Materials Science and Engineering at the University of Michigan, further underscore his global impact.

Research Interests ๐Ÿ”ฌ

Dr. Liang’s research interests include advanced ceramics and ceramic (-metal) matrix composites. His work aims to achieve exceptional performance in structural and functional applications. His groundbreaking innovations include the development of highly dense, amorphous silicon-boron-carbon-nitrogen ceramics using high-pressure sintering and mechanical alloying, a first in the world. He also investigates the high-temperature properties and damage mechanisms of these materials under extreme conditions.

Publications ๐Ÿ“š

๐Ÿ“„ A novel strategy to improve the corrosion resistance of SiCf/SiC composites in high-temperature combustion environments by cooperation of self-healing SiBCN and high-stability Yb2Si2O7
๐Ÿ“š Authors: Liang, B., Ji, S., Pang, S., Zhao, R., Tang, S.
๐Ÿ“˜ Journal: Surface and Coatings Technology, 2024, 489, 131098.
๐Ÿ”ข Citations: 0


๐Ÿ“„ Fracture mechanical and ablation behaviors of C/SiCโ€“Cu3Siโ€“Cu interpenetrating composites and their dependence on metal addition and interface thickness
๐Ÿ“š Authors: Wu, Y., Liang, B., Zhao, R., Li, J., Tang, S.
๐Ÿ“˜ Journal: Composites Part B: Engineering, 2024, 283, 111632.
๐Ÿ”ข Citations: 1


๐Ÿ“„ Low residual stress SiC coatings on C/CA composites by a strategy of matching their expansion behaviors to improve thermal shock resistance
๐Ÿ“š Authors: Yan, M., Hu, C., Li, J., Luo, R., Tang, S.
๐Ÿ“˜ Journal: Composites Communications, 2024, 48, 101891.
๐Ÿ”ข Citations: 2


๐Ÿ“„ Facile preparation of a SiC@SiO2 nanowire-toughened ZrB2โ€“SiC/SiC bilayer coating with good interfacial bonding, high toughness, and excellent cyclic ablation resistance on C/CA composites
๐Ÿ“š Authors: Yan, M., Hu, C., Li, J., Luo, R., Tang, S.
๐Ÿ“˜ Journal: Journal of Advanced Ceramics, 2024, 13(4), pp. 486โ€“495.
๐Ÿ”ข Citations: 3


๐Ÿ“„ Facile preparation of lightweight and robust carbon aerogel monoliths for high-temperature thermal insulation and oil-water separation
๐Ÿ“š Authors: Li, J., Sun, B., Zuo, L., Cheng, H.-M., Tang, S.
๐Ÿ“˜ Journal: Carbon, 2024, 218, 118734.
๐Ÿ”ข Citations: 8


๐Ÿ“„ Construction of C/SiCโ€“Cu3Siโ€“Cu interpenetrating composites for long-duration thermal protection at 2500 ยฐC by cooperative active-passive cooling
๐Ÿ“š Authors: Wu, Y., Zhao, R., Liang, B., Cheng, H.-M., Tang, S.
๐Ÿ“˜ Journal: Composites Part B: Engineering, 2023, 266, 111015.
๐Ÿ”ข Citations: 11


๐Ÿ“„ Construction of a ceramic coating with low residual stress on C/CA composites for thermal protection at ultra-high temperatures
๐Ÿ“š Authors: Yan, M., Hu, C., Li, J., Liang, B., Tang, S.
๐Ÿ“˜ Journal: Composites Part B: Engineering, 2023, 266, 110970.
๐Ÿ”ข Citations: 16


๐Ÿ“„ Mechanical Properties and Oxidation Behaviors of Self-Healing SiCf/SiC-SiBCN Composites Exposed to H2O/O2/Na2SO4 Environments
๐Ÿ“š Authors: Ji, S., Liang, B., Hu, C., Li, J., Tang, S.
๐Ÿ“˜ Journal: Acta Metallurgica Sinica (English Letters), 2023, 36(11), pp. 1909โ€“1923.
๐Ÿ”ข Citations: 2


๐Ÿ“„ Self-densification behavior, interfacial bonding, and cyclic ablation resistance of HfSi2-ZrSi2 modified SiC/ZrB2-SiC/SiC coating for Cf/SiC composite
๐Ÿ“š Authors: Tang, P., Hu, C., Pang, S., Wang, L., Tang, S.
๐Ÿ“˜ Journal: Corrosion Science, 2023, 219, 111223.
๐Ÿ”ข Citations: 11


๐Ÿ“„ Insight into the origin of oxidation behaviors of carbon fiber reinforced carbon aerogel composites with different porous skeletons
๐Ÿ“š Authors: Zhang, W., Hu, C., Li, J., Liang, B., Tang, S.
๐Ÿ“˜ Journal: Carbon, 2023, 209, 118008.
๐Ÿ”ข Citations: 6


 

 

 

Zhiyang Guo | Sliding Mode Control | Best Scholar Award

Dr. Zhiyang Guo | Sliding Mode Control | Best Scholar Award

Doctoral Candidate at Dalian Maritime University, China

๐ŸŒŠ Dr. Zhiyang Guo is a passionate researcher in maritime engineering and control systems, currently pursuing a Ph.D. at Dalian Maritime University. With expertise in sliding mode control and autonomous vehicles, he has published impactful research articles and holds patents in innovative maritime technologies. ๐Ÿšค๐Ÿ”ฌ His work contributes to advancing the capabilities of unmanned and autonomous surface vehicles, driving innovation in the maritime industry. ๐ŸŒŸ

Publication Profile :ย 

Scopus

Educational Background ๐ŸŽ“

Zhiyang Guo is currently a Doctoral Candidate at Dalian Maritime University, where he has been pursuing his Ph.D. since 2022. He previously completed his Master’s degree at the same institution from 2020 to 2022, specializing in cutting-edge maritime technologies.

Professional Experience ๐Ÿ’ผ

Zhiyang Guo has demonstrated a strong commitment to advancing maritime engineering and control systems. His research focuses on unmanned surface vehicles (USVs) and autonomous surface vehicles (ASVs), particularly in sliding mode control. He has contributed to the field through patent applications and publications in esteemed journals, showcasing his innovative approach to maritime maneuverability and control systems.

Research Interests ๐Ÿ”ฌ

  • Sliding mode control
  • Unmanned surface vehicles (USVs)
  • Autonomous surface vehicles (ASVs)

Achievements and Innovations

Zhiyang has filed two patents (Application Numbers: 202410936299.5 and 202410936301.9) and authored influential journal articles, including:

  1. Turning and zigzag maneuverability investigations on a waterjet-propelled trimaran in calm and wavy water using a direct CFD approach (DOI: 10.1016/j.oceaneng.2023.115511)
  2. Predefined-time global recursive sliding mode control for trajectory tracking of unmanned surface vehicles with disturbances uncertainties (DOI: 10.1016/j.oceaneng.2024.119408)

Publications ๐Ÿ“š

  • Guo, Z., Zhang, J., Shang, Y., Zhang, L., & Chen, W. (2024). Predefined-time global recursive sliding mode control for trajectory tracking of unmanned surface vehicles with disturbances uncertainties. Ocean Engineering, 313, 119408.

  • Zhang, J., Guo, Z., Zhang, Q., Shang, Y., & Zhang, L. (2023). Turning and zigzag maneuverability investigations on a waterjet-propelled trimaran in calm and wavy water using a direct CFD approach. Ocean Engineering, 286, 115511.

  • Cui, Y., Wang, D., Guo, Z., Zhang, L., & Zhang, J. (2023). Maneuverability prediction for trimaran ship under the combined influence of wind and wave. Proceedings of SPIE – The International Society for Optical Engineering, 12756, 127564V.

  • Wei, Y., Zhang, J., Guo, Z., Shang, Y., & Zhang, L. (2023). Research on added waves resistance in misalignment paralleling of two ships. Proceedings of SPIE – The International Society for Optical Engineering, 12756, 127561G.

 

 

 

Hao Su | Sport Nutrition | Best Researcher Award

Prof. Hao Su | Sport Nutrition | Best Researcher Award

Professor of Sport Chemistry at Beijing Sport University, China

Prof. Hao SU, a leading figure in sport chemistry at Beijing Sport University, has significantly advanced the fields of sports nutrition and anti-aging. Through his prolific research, patents, and publications in esteemed journals like The Journal of Nutrition, Health and Aging and Frontiers in Physiology, he has contributed transformative knowledge to science. His groundbreaking work on intermittent fasting and its safer, practical benefits for individuals with metabolic health challenges underscores his dedication to improving public health. ๐Ÿ‹๏ธโ€โ™‚๏ธ๐Ÿ”ฌ๐Ÿ“–

Publication Profile :ย 

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Educational Background ๐ŸŽ“

Professor Hao SU earned his academic credentials from prestigious institutions, equipping him with expertise in sport chemistry and its applications.

Professional Experience ๐Ÿ’ผ

Professor Hao SU is a distinguished academic at Beijing Sport University, specializing in sport chemistry with a focus on sports nutrition, risk assessment and prevention in sports, as well as anti-aging mechanisms and applications in sports. With a career highlighted by impactful research, he has led multiple high-profile projects, including three at the national level and several provincial and ministerial-level initiatives. Prof. SU has authored over 50 academic papers, secured more than 10 authorized patents, and received a provincial-level scientific research award. His collaborations include partnerships with renowned institutions such as the Institute of Population Research at Peking University. ๐Ÿ“šโœจ

Research Interests ๐Ÿ”ฌ

Prof. SU’s primary areas of research are:

  • Sports Nutrition
  • Risk Assessment and Prevention in Sports
  • Mechanisms and Applications of Anti-aging in Sports
    His innovative studies delve into the effects of HIIT and vitamin E interventions on the ROS-NFฮบB-Bnip3 pathway in aging, and his meta-analyses offer critical insights into intermittent fasting for metabolically healthy obese individuals.

Publications ๐Ÿ“š

Su, H. (2022). Effects of different resistance exercise forms on body composition and muscle strength in overweight and/or obese individuals: A systematic review and meta-analysis. Frontiers in Physiology, 12, Article 791999. https://doi.org/10.3389/fphys.2021.791999


Su, H. (2021). Effect of long-term exercise on liver lipid metabolism in Chinese patients with NAFLD: A systematic review and meta-analysis. Frontiers in Physiology, 12, Article 748517. https://doi.org/10.3389/fphys.2021.748517


Su, H., Liu, D., Shao, J., Li, Y., Wang, X., & Gao, Q. (2020). Aging liver: Can exercise be a better way to delay the process than nutritional and pharmacological intervention? Focus on lipid metabolism. Current Pharmaceutical Design, 26(20), 2605โ€“2612. https://doi.org/10.2174/1381612826666200605111232


Su, H. (2014). Associations of cardiorespiratory fitness with cardiovascular disease risk factors in middle-aged Chinese women: A cross-sectional study. BMC Women’s Health, 14, Article 62. https://doi.org/10.1186/1472-6874-14-62


Su, H. (2012). Biomarker detection of rhGH doping: An excretion study. Drug Testing and Analysis, 4(10), 835โ€“842. https://doi.org/10.1002/dta.1423


 

 

 

Zuoye Liu | Physics | Best Researcher Award

Dr. Zuoye Liu | Physics | Best Researcher Award

Professor at Lanzhou University, China

Zuoye Liu is a distinguished professor at Lanzhou University specializing in ultrafast physics and nuclear detection. He leads research on the dynamics of microscopic particles, employing pulsed lasers for advances in nuclear physics and chemistry. Liuโ€™s groundbreaking work on XUV pulse shaping and fast detection technologies has earned him recognition in scientific communities. He has published over 40 articles and has played a pivotal role in research funded by prominent Chinese scientific programs. His contributions continue to drive innovation in laser technologies and nuclear science. ๐ŸŒŸ

Publication Profile :ย 

Scopus

Educational Background ๐ŸŽ“

Zuoye Liu holds a position as a Professor at Lanzhou University, where his academic journey has led to impactful contributions in the fields of ultrafast physics and nuclear detection technologies.

Professional Experience ๐Ÿ’ผ

Professor Liu has been a leading researcher in the area of micro-particle dynamics control and the application of pulsed laser technologies. His work spans the development of novel instruments, physical mechanism disclosures, and the design of cutting-edge application schemes. Over the years, he has contributed to numerous high-profile projects funded by national programs, including the National Natural Science Foundation of China and the National Key Research and Development Program. With more than 40 published articles in prestigious journals, his research continues to shape advancements in nuclear physics, nuclear chemistry, and ultrafast optics.

Research Interests ๐Ÿ”ฌ

Professor Liu’s research primarily focuses on the reconstruction of microscopic particle dynamics and the application of ultrafast lasers in nuclear physics, detection, and chemistry. He has proposed innovative “light-light” modulation schemes to perfect XUV pulse shaping for enhanced light absorption in materials. Additionally, he is a pioneer in developing fast online detection methods for multiple nuclides and exploring the complex interplay of laser pulses in microscopic systems.

Publications ๐Ÿ“š

  • Y He, Z Liu, C Ott, A N Pfeiffer, S Sun, M B Gaarde, T Pfeifer, Bitao Hu, Resonant Perfect Absorption Yielded by Zero-Area Pulses, Phys. Rev. Lett, 2022, 129, 273201.

  • Z Liu, S M Cavaletto, C Ott, K Meyer, Y Mi, Z Harman, C H Keitel, T Pfeifer, Phase reconstruction of coherently excited systems by transient-absorption spectroscopy, Phys. Rev. Lett, 2015, 115, 033003.

  • Zhang Y, Gao Y, Lei H, et al., Free-space competition between gain-swept superradiance and spontaneous emission from N2+ in a femtosecond filament, Physical Review A, 2024, 109(1), 013105.

  • Shi Y, Xiang Y, Su R, et al., A method to obtain radioactivity of non-ฮณ nuclides by 60Co based on Monte Carlo simulations, Nuclear Engineering and Technology, 2024, 56(10), 4134-4140.

  • Zhang Y, Yang R, Zhu Z, et al., Complete suppression of N2 lasing by the nonadiabatic molecular alignment effect in femtosecond filaments, Physical Review A, 2024, 110(2), 023106.

  • Shi H, Gao J, He Y, et al., Coherent modulation of intense XUV pulses by ground-state coupling, Physics Letters A, 2024, 516, 129650.

  • Zhao T, Ding P, Wang Y, et al., Deep learning assisted pressure measurements using femtosecond laser-induced grating scattering technique, Journal of Physics D: Applied Physics, 2024, 57(15), 155201.

  • Wang L, Ding P, Yan S, et al., Soot volume fraction measurements in aero-engine model combustor outlet using two-color laser-induced incandescence, Chinese Journal of Aeronautics, 2024.

  • Wang J, Yue J, Zhang Y, et al., Hot Electron- and Spin-Flip-Assisted Upconversion Excitation in the La0.7Sr0.3MnO3/BiFeO3 Heterojunction, The Journal of Physical Chemistry C, 2024, 128(34), 14337-14346.

  • Li Y, Song S, Han Y, et al., Coulomb-induced emission time shifts in high-order harmonic generation from H2, Opt Express, 2024, 32(11), 18984-18996.

  • Yang J, Liu Z, Yang C, et al., Determination of La in rare earth ores using laser-induced breakdown spectroscopy combined with bidirectional long short-term memory, Applied Physics B, 2024, 130(5), 81.

  • Wu S, Yang C, Yue J, et al., Analysis of Cs solution by nano-silica particles-enhanced laser-induced breakdown spectroscopy, Applied Physics B, 2024, 130(10), 170.

 

 

 

Chen Hao | Sports Management | Best Researcher Award

Dr. Chen Hao | Sports Management | Best Researcher Award

Instructor at Chongqing University, China

Dr. Chen Hao is a lecturer at Chongqing University and a postdoctoral researcher at the Research Institute for New Quality Productive Forces. With a diverse academic background, including a Doctorate in Management and a postdoctoral fellowship at Tsinghua University’s School of Economics and Management, Dr. Hao has published extensively in journals like Technology Analysis & Strategic Management and Applied Economics. His research interests encompass strategic management, innovation and entrepreneurship, and sports management, particularly focusing on technological innovation and social entrepreneurship. He has led multiple high-impact projects, including those funded by the Ministry of Education of China and the China Postdoctoral Science Foundation.

Publication Profile :ย 

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Educational Background ๐ŸŽ“

Chen Hao holds multiple degrees, including a Bachelor of Education, Bachelor of Science, Master of Education, and a Doctor of Management. He also completed a Postdoctoral Fellowship (2021-2023) at the prestigious School of Economics and Management, Tsinghua University, before becoming a lecturer at Chongqing University in February 2024.

Professional Experience ๐Ÿ’ผ

Currently serving as a Lecturer at Chongqing University and a researcher at the Research Institute for New Quality Productive Forces, Dr. Chen has built a strong academic and professional career. He previously conducted research as a Postdoctoral Fellow at Tsinghua University, where he worked on strategic management and innovation. His work has been supported by funding from Chinaโ€™s Humanities and Social Sciences Foundation and the China Postdoctoral Science Foundation. He has also worked extensively on industry projects involving technological innovation and sports management.

Research Interests ๐Ÿ”ฌ

Dr. Chen’s research interests are broad and interdisciplinary, focusing on Strategic Management, Innovation & Entrepreneurship, and Sports Management. His work explores how digital social entrepreneurship influences corporate green innovation, the synergy between technological innovation and sports management, and how organizations adopt innovative strategies in various contexts. He has led significant research projects in these areas, including the General Sports Research Project and Major Science Popularization Research Project for Chongqing City in 2024.

Research Contributions ๐Ÿ“‘

Chen Hao has published in renowned journals such as Technology Analysis & Strategic Management, Applied Economics, and Technology in Society. His key publications include studies on cross-organizational R&D collaboration, enterprise innovation modes, and the relationship between housing prices and criminal crime in China. He is actively involved in research collaboration with Tsinghua University and Beijing Sport University, enhancing the integration of technology and sports management.

Awards & Recognition ๐Ÿ†

Dr. Chen is the recipient of multiple prestigious awards, including funding from Chinaโ€™s Ministry of Education and the China Postdoctoral Science Foundation. He is currently nominated for the Best Researcher Award in the Global Innovation Technologist Awards for his exceptional contributions to research in management science, innovation, and entrepreneurship.

Publications ๐Ÿ“š

1. Enterprise Innovation Modes Choice and Alternate Evolution from Ambidextrous Perspectives

Journal: Technology Analysis & Strategic Management
Date: November 2024
DOI: 10.1080/09537325.2023.2209219
Authors: Yuelong Zheng, Mengya Li, Chen Hao, Dr. Ataullah Kiani, Yingying Wang
Format:
Zheng, Y., Li, M., Hao, C., Kiani, A., & Wang, Y. (2024). Enterprise innovation modes choice and alternate evolution from ambidextrous perspectives. Technology Analysis & Strategic Management, 36(11), 1-20. https://doi.org/10.1080/09537325.2023.2209219


2. Evolutionary Game Analysis on the Cross-Organizational Cooperative R&D Strategy of General Purpose Technologies under Two-Way Collaboration

Journal: Technology in Society
Date: March 2024
DOI: 10.1016/j.techsoc.2024.102473
Authors: Yuelong Zheng, Bingjie Zhou, Chen Hao, Ruize Gao, Mengya Li
Format:
Zheng, Y., Zhou, B., Hao, C., Gao, R., & Li, M. (2024). Evolutionary game analysis on the cross-organizational cooperative R&D strategy of general purpose technologies under two-way collaboration. Technology in Society, 71, 102473. https://doi.org/10.1016/j.techsoc.2024.102473


3. Housing Price and Criminal Crime in China: Direct and Indirect Influence

Journal: Applied Economics
Date: August 27, 2022
DOI: 10.1080/00036846.2022.2033678
Authors: Zhe Song, Chen Hao
Format:
Song, Z., & Hao, C. (2022). Housing price and criminal crime in China: Direct and indirect influence. Applied Economics, 54(40), 4539-4554. https://doi.org/10.1080/00036846.2022.2033678


 

 

 

Mengya Li | Technology Innovation | Best Researcher Award

Assoc. Prof. Dr. Mengya Li | Technology Innovation | Best Researcher Award

Associate Research Fellow at Sichuan University, China

Dr. Mengya Li is an accomplished academic and researcher, currently serving as an Associate Professor at Sichuan University. With a robust background in economics and finance, she has published extensively on topics related to technology incubation, enterprise innovation, and venture capital. Her recent research explores how technology platforms foster breakthrough innovations and how income inequality may influence social phenomena like marriage. Dr. Li is a recognized leader in her field, with numerous honors, including the Young Elite Scientists Sponsorship Program by the China Association for Science and Technology in 2023 and the Sichuan Province High-level Talent Plan in 2024.

Her work has received support from prestigious funding sources such as the National Natural Science Foundation of China and the Sichuan Natural Science Foundation Project. Dr. Li is also active in service roles, including as a Standing Director of the Technology Incubation and Innovation Ecology Branch of the Chinese Society of Technology Economics and a Director of the Women Science and Technology Workers Committee. ๐ŸŒฑ

Publication Profile :ย 

Scopus

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Educational Background ๐ŸŽ“

Mengya Li holds a Ph.D. in Economics (2019) from Chongqing University. She also earned her M.A. in Finance (2016) and B.A. in Economics (2014) from the same institution. Her solid educational foundation has paved the way for her extensive academic and professional career.

Professional Experience ๐Ÿ’ผ

Dr. Mengya Li began her academic journey as an Assistant Professor at the School of Economics and Management at Tsinghua University (2020-2022). She currently serves as an Associate Professor at the Business School of Sichuan University since 2022. Her expertise lies in technology incubation, enterprise innovation, and venture capital, making her a prominent figure in the field of economic management and innovation studies.

Research Interests ๐Ÿ”ฌ

Her research primarily focuses on technology incubation, enterprise innovation management, and venture capital. Dr. Li investigates how technological platforms, innovation ecosystems, and venture capital influence the performance and growth of entrepreneurial enterprises, with a particular interest in the impact of regional institutional environments on innovation and enterprise performance.

Publications ๐Ÿ“š

  1. Zheng, Y., Zhou, B., Hao, C., Gao, R., & Li, M.* (2024). Evolutionary game analysis on the cross-organizational cooperative R&D strategy of general purpose technologies under two-way collaboration. Technology in Society, 76, 102473.

  2. Song, Z., Cheng, Z., & Li, M.* (2024). Does income inequality restrain marriage? A longitudinal study from the 35 large and medium-sized cities of China. Cities, 152, 105200.

  3. Zou, J., Li, M.*, & Yang, D. (2024). Cold start and hot feedback: A knowledge sharing and governance model considering individual willingness from the perspective of prospect theory. Journal of Knowledge Management, Published online.

  4. Li, M., Yang, D.*, Zou, J., Hao, C., & Li, H. (2024). Research on enabling mechanism of technology platform enterprises to breakthrough key and core technologies of entrepreneurial enterprise clusters. Journal of Management Science, 37(2), 3-20.

  5. Li, M., Song, Z., & Hao, C. (2024). Research on the influence of technological alliance on entrepreneurial enterprise performance. Studies in Science of Science, 42(11), 2397-2408.

  6. Li, M., Zhang, Y., Yang, D., Hu, X., & Zhang, J. (2023). How does the incubation platform internal network improve entrepreneurial performance? A case study based on the dual perspective of resources and learning. Management Review, 35(9), 324-336.

  7. Li, M., Yang, D.*, Hu, X., & Zhang, J. (2022). How does the incubation platform realize resource co-development in the context of the internal network? Journal of Management World, 38(2), 169-187+11.

  8. Li, M., Yang, D., & Wang, Y. (2022). Value creation process of technology entrepreneurship incubation platform: A multi-case study. R&D Management, 34(2), 134-148.

  9. Li, M., Yan, T., & Hao, C. (2021). Venture capital, innovation output quality and enterprise performance: Based on the adjustment role of regional institutional environment. Science Research Management, 42(8), 168-175.

  10. Li, M., Yan, T., & Hao, C. (2021). Venture capital and internationalization of enterprise R&D: A study of China’s GEM listed companies. Science Research Management, 42(6), 1-8.

 

 

 

Chitra P | Image Processing | Best Researcher Award

Dr. Chitra P | Image Processing | Best Researcher Award

Professor at Sathyabama Institute of Science and Technology, India

Dr. P. Chitra is an accomplished academic and researcher with a Ph.D. in Applied Electronics from Sathyabama University (2014) and a Master’s in Applied Electronics (M.E.) from Coimbatore Institute of Technology (2004). She has been serving as an Assistant Professor in Sathyabama University, Chennai, since 2004. Her research interests span across image processing, signal processing, communication systems, and electronic circuit analysis. She has secured multiple sponsored projects, including collaborations with the Indira Gandhi Centre for Atomic Research and the Department of Biotechnology. Dr. Chitra has contributed significantly to the field with numerous publications in both international journals and conferences, with notable works in deep learning for medical diagnostics, radiographic image processing, and PCOS detection using AI. Apart from her academic duties, she is a life member of the Indian Society for Technical Education (MISTE) and Institution of Engineers (IEI), and actively participates as a reviewer for various journals. Her dedication to advancing technology is reflected in her extensive training, certifications, and contributions to AI and machine learning. ๐ŸŒ๐Ÿ“š๐Ÿ”ฌ

Publication Profile :ย 

Scopus

Google Scholar

Educational Background ๐ŸŽ“

  • Ph.D. in Electronics and Communication Engineering (2014), Sathyabama University, Chennai
  • M.E. in Applied Electronics (2004), Coimbatore Institute of Technology, Coimbatore (CGPA: 8.16)
  • B.E. in Electronics and Communication Engineering (2002), Nooral Islam College of Engineering, Kumaracoil, Nagercoil (73.55%)
  • H.S.C. (1998), Duthie Girls Higher Secondary School, Nagercoil (85.58%)
  • S.S.L.C. (1996), Duthie Girls Higher Secondary School, Nagercoil (87.00%)

Professional Experience ๐Ÿ’ผ

Dr. P. Chitra has been an Assistant Professor at Sathyabama University since June 2004. With a career spanning over two decades, she has a rich academic experience in teaching and research, specializing in image processing, signal processing, and communication systems. She has been actively involved in various sponsored projects, including collaborations with Indira Gandhi Centre for Atomic Research and the Department of Biotechnology. She has led and contributed to multiple funded projects, including the development of digitization protocols for weld images and the application of AI for detecting PCOS (Polycystic Ovary Syndrome). Her expertise also extends to deep learning and AI-based algorithms in medical imaging and diagnostics.

Research Interests ๐Ÿ”ฌ

Dr. Chitra’s research primarily focuses on image processing, signal processing, communication systems, and electronic circuit analysis. She is particularly passionate about applying AI and deep learning techniques for medical image analysis and diagnostic applications. Her ongoing research explores areas such as PCOS detection, brain tumor detection, and lung cancer classification, leveraging AI for better healthcare solutions.

Certifications & Achievements๐ŸŽ“

Dr. Chitra is a proud recipient of numerous NPTEL certifications, including courses in Deep Learning, Data Science for Engineers, and Introduction to AI. She is also a Life Member of Indian Society for Technical Education (ISTE) and the Institution of Engineers (IEI).

Publications ๐Ÿ“š

  • Chitra P., Beryl Vedha Y. Johnson, Retnaraj Samuel S., et al. (2024), โ€œClassification of Microglial Cells using Deep Learning Techniquesโ€, Proceedings – 2nd International Conference on Advancement in Computation and Computer Technologies, InCACCT 2024

  • Sheeba I.R., Jegan G., Jayasudha F.V., Chitra P., et al. (2024), โ€œBrain Tumor Detection- ISM Band SAR Reduction Analysis Using Microstrip Patch Antennaโ€, Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024

  • Chitra P., Srilatha K., Sumathi M., et al. (2023), โ€œAutomated Detection of Polycystic Ovaries using Pretrained Deep Learning Modelsโ€, AICERA/ICIS 2023

  • Chitra P., Srilatha K., Jayasudha F.V., et al. (2023), โ€œLung Cancer Detection Using Classification Algorithmโ€, RAEEUCCI 2023

  • Amudha S., Shobana J., Satheesh Kumar M., Chitra P. (2022), โ€œModelling Air Pollution and Traffic Congestion Problem Through Mobile Applicationโ€, IconDeepCom 2022

  • Chitra P., Sheela Rani B., Venkataraman B., et al. (2011), โ€œComparison of Image Enhancement Techniques for Radiographic Weld Imagesโ€, Instrumentation Society Of India

  • Chitra P., Sheela Rani B., Venkataraman B., et al. (2011), โ€œEvaluation of Signal To Noise in Different Radiographic Methods and Standard Digitizerโ€, Indian Journal of Computer Science and Engineering

  • Chitra P., Sheela Rani B., Manoharan N., et al. (2007), โ€œA Comparative Study on the Digitization Parameters of Radiographic Weld Image Digitizers for Weld Defect Detectionโ€, ECHDEM 2007, Chennai

  • Chitra P., Arulmozhi N., Sheela Rani B., et al. (2008), โ€œEvaluation of Radiographic Image Quality through Standard Weld Image Digitizersโ€, ESSTA 2008

  • Chitra P., Sheela Rani B. (2012), โ€œStudy and Analysis on the Effect of Source to Film Distance on the Radiographic Imageโ€, ICCCT 2012

  • Chitra P., Arulmozhi N., et al. (2009), โ€œSNR Based Evaluation of Radiographic Weld Image Using Selenium 75, Ir-192, and X-raysโ€, National Seminar and Exhibition on NDE

  • Chitra P., Sheela Rani B., et al. (2011), โ€œExtraction of Radiographic Weld Defects Using Pixel Based Segmentationโ€, NCICM 2011

 

 

 

Wissal Sahel | Economics | Best Researcher Award

Ms. Wissal Sahel | Economics | Best Researcher Award

Ph.D. Candidate at Mohammed V University of Rabat, Morocco

Wissal Sahel is a 27-year-old Moroccan development economist currently pursuing a Ph.D. in Development Economics at Mohammed V University in Rabat. Her research explores the macroeconomic determinants of structural change in developing countries. Wissal has a strong academic background, with a Masterโ€™s in Economics and a Bachelorโ€™s degree in Economics from Ibn Tofail University in Kenitra. She has worked as a research assistant, a teaching assistant, and interned with various organizations, contributing significantly to economic research projects. Passionate about economic development, Wissal has presented her work at prestigious conferences like the African Economic Conference 2023 and the Jobs and Development Conference 2022. ๐ŸŒฑ๐Ÿ“ˆ

Publication Profile :ย 

Orcid

Educational Background ๐ŸŽ“

  • Ph.D. Candidate in Development Economics, Mohammed V University in Rabat, 2021 – Ongoing
    Thesis: On the macroeconomic determinants of structural change in the developing world.
  • Masterโ€™s in Economics, Mohammed V University in Rabat, 2019 – 2020
    Thesis: Transformation structurelle au Maroc: Un essai de mesure.
  • Bachelorโ€™s in Economics, Ibn Tofail University, 2016 – 2018
  • Baccalaureate in Mathematics, Sidi Aissa High School, 2015

Professional Experience ๐Ÿ’ผ

Wissal has held multiple positions that align with her academic focus, working in prestigious institutions such as Mohammed VI Polytechnic University, the High Commission for Planning, and the Ministry of Economy, Finance, and Administrative Reform in Morocco. She was a Research Assistant at Mohammed VI Polytechnic University, where she contributed to the project on Morocco’s economic transformation. Additionally, she interned at the High Commission for Planning, working on structural analysis projects and at the Ministry of Economy, focusing on Moroccoโ€™s economic information systems. Wissal has also taught courses like Development Economics and Advanced Macroeconomics at Mohammed V University, sharing her expertise with Master’s students in public policy and economics. ๐Ÿ‘ฉโ€๐Ÿซ๐Ÿ“Š

Research Interests ๐Ÿ”ฌ

  • Structural Change and Economic Development: Understanding the macroeconomic forces that drive structural changes in developing economies.
  • Sectoral Policies in Morocco: Investigating industrial policies and their impact on Moroccoโ€™s development trajectory.
  • Climate Change and Labor Productivity: Assessing how climate change influences labor reallocation and productivity in the developing world.
  • Data Analytics and Econometrics: Applying advanced statistical methods, such as panel data analysis and input-output analysis, to study economic transformations. ๐ŸŒ๐Ÿ“‰

Key Achievements ๐ŸŒŸ

  • Best Young Researcher Paper Award, African Economic Conference 2023
  • Excellence Award in Methodology, Mohammed V University, 2021
  • Publications & Working Papers: Wissal has co-authored book chapters and articles on structural change and economic development in Morocco, with her work published in UNU-WIDER and other academic outlets.

Publications ๐Ÿ“š

  • Journal Article (2024)
    Title: Structural change in Morocco: Rethinking Industrial Policies
    Published in: Structural Change and Economic Dynamics
    Date: December 2024
    DOI: 10.1016/j.strueco.2024.12.008
    ISSN: 0954-349X
    Contributors: Wissal SAHEL, Idriss EL ABBASSI


  • Working Paper (2023)
    Title: Structural change and the National Initiative for Human Development in Morocco: Subnational insights
    Published in: WIDER Working Paper
    Date: June 2023
    DOI: 10.35188/unu-wider/2023/382-6
    ISBN: 9789292673826
    ISSN: 1798-7237
    Contributors: Al-mouksit Akim, Wissal Sahel


 

 

 

Venkatraman Pitchaikannu | Radiotherapy | Best Researcher Award

Dr. Venkatraman Pitchaikannu | Radiotherapy | Best Researcher Award

Post Doctoral Fellow at Banaras Hindu University, India

Dr. P. Venkatraman is a distinguished Medical Physicist with extensive expertise in radiation protection, dosimetry, and medical physics research. Holding a Ph.D. in Medical Physics from Bharathiar University (2013-2018), his research contributions span across nanodosimetry, radiation detectors, and innovative treatments in oncology, including novel approaches to COVID-19 treatment. He has received numerous awards, including the AMPI Meritorious Medical Physicist Award (2022) and the AFOMP Young Achiever Award (2024). Dr. Venkatraman has served in key academic and research roles, contributing to the field through teaching, research, and clinical applications. His innovative work in radiation therapy and detection technology has earned him recognition both in India and internationally. ๐ŸŒŸ๐Ÿฉป๐Ÿ“š

Publication Profile :ย 

Orcid

Educational Background ๐ŸŽ“

  • Ph.D. in Medical Physics โ€“ Bharathiar University, Coimbatore (2013-2018)
  • M.Sc. in Medical Physics โ€“ Bharathiar University, Coimbatore (2011-2013)
  • B.Sc. in Physics โ€“ Jamal Mohammed College, Bharathidasan University, Trichy (2008-2011)

Professional Experience ๐Ÿ’ผ

Dr. Venkatraman has a diverse and impactful professional journey in medical physics, spanning academic, clinical, and research roles. He is currently a Teaching Medical Physicist at Bharathidasan University and a Mentor at the International Commission on Radiation Protection (TG 126). He has also worked as a Clinical Research Scientist and Principal at Harshamitra Super Specialty Cancer Center (2021-2022) and Head of the Department at Dr. N.G.P. Arts and Science College, Coimbatore (2019). Additionally, Dr. Venkatraman has served as an Assistant Professor and Innovation Member in applied sciences at the same institution. He is involved in cutting-edge research, including developing Monte Carlo simulations for kilo voltage arc treatments and establishing advanced radiation protection laboratories. His clinical experience includes working with advanced equipment like Varian Trilogy and HDR brachytherapy systems. He has also played a pivotal role in global initiatives, including research into innovative treatments for COVID-19. ๐Ÿฅ๐ŸŽ“๐Ÿ’ก

Research Interests ๐Ÿ”ฌ

Dr. Venkatramanโ€™s research focuses on medical physics, nanodosimetry, radiation protection, and treatment technologies. He has pioneered work in radiation detectors, with a special interest in developing novel instruments like the Nanodosimeter and COVID X, as well as exploring whole lung irradiation for COVID-19 treatment. His research interests also extend to radiation dosimetry in cancer treatment, specifically in advanced techniques like 3DCRT, IMRT, and RapidArc VMAT. He has published extensively in high-impact journals and has been a reviewer for several renowned publications. ๐ŸŒ๐Ÿ”ฌ๐Ÿง‘โ€๐Ÿ”ฌ

Awards and Recognitions ๐Ÿ†

  • PN Krishnamoorthy Memorial AFOMP Young Achiever Award 2024
  • AMPI Meritorious Medical Physicist Award (2022)
  • Patent Appreciation Award (2021) for โ€œEfficient Instrument to Detect Ionsโ€
  • AFOMP Best Poster Presentation Award (2017)
  • Dr. M.S. Agarwal Young Investigator Award (2019)
  • Dr. R.K. Borkotoky Best Research Paper Award (2019)
  • Visiting Fellowships for participation in international workshops and summer schools in Europe. ๐ŸŒŸ๐Ÿ†๐ŸŽ–๏ธ

Publications ๐Ÿ“š

  • Venkatraman Pitchaikannu, Lalit M Aggarwal, Sunil Choudhary, “Carbon-based brilliance: a novel approach to renewable energy in radiotherapy centers,” Radiation Protection Dosimetry, 200(11-12), 2024, 1189โ€“1196.

  • Premkumar Sellan, Manigandan Selvan, Abida Perveen, Din Nasrud, Sakthivel Chandrasekar, Pitchaikannu Venkatraman, Devaraj Nataraj, Byung Seong Bae, Damian Chinedu Onwudiwe, Lei Wei, “Preparation of bismuth-doped CsPbBr3 perovskite single crystals for X-ray and gamma-ray sensing applications,” Material Advances, 2024, 5, 6309.

  • Sougoumarane Dashnamoorthy, Ebenezar Jeyasingh, Karthick Rajamanickam, Venkatraman Pitchaikannu, Kathiresan Nachimuthu, “Dosimetric and radiobiological advantages from deep inspiration breath-hold and free breath technique for left-sided breast radiation using 3DCRT, IMRT, and Rapid arc methods โ€“ A complete assessment,” Radiation Protection Dosimetry, 200(13), 2024, 1274โ€“1293.

  • Boopathi M, Khanna D, Venkatraman P, Sahay J, Sureka CS, Raju V, Aggarwal LM, Choudhary S., “Fabrication and Characterization of Beam Quality Phantom for External Beam Radiotherapy,” Iranian Journal of Medical Physics, 2024, 21:93-101.

  • M. Boopathi, D. Khanna, P. Mohandass, P. Venkatraman, “A dosimetric comparison of split and open X-jaw methods in volumetric modulated arc therapy for extended target volumes of head and neck cancer,” Oncology and Radiotherapy, 18(4), 2024: 001-005.

  • P. Venkatraman, Rajisha Rajan, CS Sureka, LC Nehru, “Synthesis and fabrication of HAp from fish scale waste to develop bone equivalent phantom,” Nuclear and Particle Physics Proceedings, V336โ€“338A, 2023, 54-61.

  • M. Boopathi, D. Khanna, P. Venkatraman, R Varshini, C. S. Sureka, S. Pooja, “Fabrication and Dosimetric Characteristics of Silicon Elastomer-Based Bolus Using External Beam Radiotherapy,” Asian Pacific Journal of Cancer Prevention, 24(1), 141-147, 2023.

  • M. Boopathi, D. Khanna, P. Venkatraman, R Varshini, S.Pooja, “Assessment of ion recombination and polarization correction factors for small and large field size of photon beams,” Oncology and Radiotherapy, 17(9), 2023: 268-286.