Mr. Zeshan Ali | Engineering | Young Researcher Award

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Mr. Zeshan Ali | Engineering | Young Researcher Award

Mr. Zeshan Ali | Engineering – Senior Researcher at International Water Management Institute, Pakistan


Zeshan Ali is a dynamic and skilled hydrologist and research officer with a robust academic and professional foundation in Water Resource Engineering and Agricultural Engineering. With diverse expertise ranging from hydrological modeling to remote sensing, his work addresses critical issues such as climate resilience, sustainable agriculture, and data-driven water management in South Asia. Currently serving as a Senior Research Officer at the International Water Management Institute (IWMI) in Pakistan, Zeshan is making impactful contributions to global initiatives like NEXUS Gains and Fragility, Conflict, and Migration by integrating scientific research with real-world water governance solutions. His blend of field-based experience, technical proficiency, and scholarly output has positioned him as an emerging expert in the fields of climate modeling and hydrology.

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Orcid | Scopus

Education:

Zeshan earned his Master of Science in Water Resources Engineering from the University of Engineering and Technology, Lahore, in 2022, where he specialized in hydrological modeling under climate change scenarios. He previously obtained his Bachelor of Science in Agricultural Engineering from PMAS Arid Agriculture University, Rawalpindi, in 2018. His academic background combines theoretical depth with practical understanding, particularly in the applications of GIS, remote sensing, and statistical hydrology.

Experience:

Professionally, Zeshan Ali has steadily advanced through roles that span research, engineering design, and operational management. At IWMI, he has led efforts in installing and monitoring advanced field instruments such as Eddy Covariance Flux Towers and CTD divers, managing groundwater and carbon flux data for regional planning. He has also contributed to stakeholder training, climate impact assessments, and data analysis under projects funded by CGIAR and the World Bank. Prior to this, he worked as Assistant Hydraulic Design Engineer at MM Pakistan, focusing on hydropower and water conveyance infrastructure for the Kurram Tangi Dam. Earlier roles included research and field engineering with a focus on high-efficiency irrigation systems under the Punjab Irrigated-Agriculture Productivity Improvement Project (PIPIP), where he implemented sustainable water-saving techniques and solar energy integration for rural agricultural settings.

Research Interest:

Zeshan’s research interests lie at the intersection of water resources, climate science, and technology. His core expertise includes hydrological and hydraulic modeling, climate projections (CMIP6), flood prediction, sustainable agriculture, GIS, and AI-based data analysis. He is especially passionate about integrating climate modeling with watershed and river basin hydrology to support climate-resilient infrastructure and policies. His growing interest in machine learning and remote sensing highlights a modern, adaptive approach to traditional water resource challenges.

Awards and Recognition:

Zeshan has consistently been selected for specialized workshops, high-level consultative forums, and technical training programs across Pakistan and internationally. These include the IWMI Science Strategy Forum in Colombo, Sri Lanka, and multiple CGIAR-led workshops on groundwater management and integrated water resource strategies. His ability to organize, lead, and train at multi-stakeholder events reflects recognition of his scientific communication skills and technical competence.

Selected Publications 📚:

  1. 🌊 Z. Ali et al. (2023). “Hydrological Response Under CMIP6 Climate Projection in Astore River Basin, Pakistan,” Journal of Mountain Science, Springer. [Cited by: 9]
  2. 🌱 MU Masood, Z. Ali et al. (2023). “Appraisal of Landcover and Climate Change Impact on Water Resources,” Journal of Water, MDPI. [Cited by: 5]
  3. 🔮 Z. Ali et al. (2022). “Future Streamflow Prediction Using UBC Watershed Model,” 2nd Int. Conf. on Hydrology and Water Resources. [Cited by: 2]
  4. ❄️ I.U. Khan, Z. Ali et al. (2023). “Evaluation and Mapping of Snow Characteristics in Astore Basin,” Atmosphere, MDPI. [Cited by: 4]
  5. 🌨️ I. Khan, Z. Ali et al. (2022). “Evaluation of Snow Characteristics in Astore Basin,” Conf. on Sustainable Water Resources Management.
  6. 🏞️ M. Sharjeel, Z. Ali et al. (2022). “Impacts of Climate and Land Use Changes at Rawal Dam,” SWRM 2022.
  7. 🔍 M. Rashid, Z. Ali et al. (In Prep). “Robustness of Hydrological Models & ML Techniques for Extreme Events.”

Conclusion:

Zeshan Ali’s career is a testament to applied hydrological science’s critical role in climate adaptation and sustainable resource management. His contributions span the design of innovative monitoring systems, predictive hydrological models, and field training programs that empower communities and policymakers alike. Through a blend of research, engineering, and community engagement, Zeshan has emerged as a leader in water-related climate resilience. As he continues to advance both academic and field-based frontiers, his work holds promise for shaping sustainable futures across vulnerable ecosystems and transboundary water systems. His dedication, expertise, and passion make him an exemplary nominee for any recognition in the environmental and water sciences domain.

 

 

Dr. Xin Zhou | Engineering | Best Researcher Award

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Dr. Xin Zhou | Engineering | Best Researcher Award

Dr. Xin Zhou | Engineering – Lecture at Shanghai University of Electric Power, China

Dr. Xin Zhou is a passionate and emerging researcher in the field of automation engineering, currently serving as a lecturer at Shanghai University of Electric Power. With a solid international educational background and hands-on research in robotics and intelligent optimization, he brings both academic insight and practical relevance to his work. Dr. Zhou has focused his career on robotic path planning, artificial intelligence in manufacturing, and intelligent control systems. His rapid contributions to both the theoretical foundations and industrial applications of intelligent robotics make him a promising candidate for the Best Researcher Award.

Education:

Dr. Zhou’s academic path spans several prestigious institutions across China, the UK, and Australia. He received his Ph.D. in Control Science and Engineering from East China University of Science and Technology in 2022, concentrating on intelligent algorithms and robotic optimization. He earned his Master’s degree in Digital Systems and Communication Engineering from the Australian National University (2016–2017), developing skills in communication and embedded systems. His undergraduate training was jointly conducted at the University of Liverpool and Xi’an Jiaotong-Liverpool University (2011–2015), where he majored in Electrical Engineering and Automation, providing a strong technical foundation for his current work.

Profile:

Orcid

Experience:

Since August 2022, Dr. Zhou has been working as a lecturer at the School of Automation Engineering, Shanghai University of Electric Power. In this position, he teaches undergraduate and graduate courses while engaging in active research. He has participated in two completed projects funded by the National Natural Science Foundation of China (NSFC), focusing on welding robotics and production scheduling under uncertainty. Dr. Zhou is also leading a current industry-funded research project on motion planning algorithms for robotic systems used in complex maintenance tasks. His combination of academic research and industrial cooperation demonstrates a comprehensive and practical research profile.

Research Interest:

Dr. Zhou’s primary research interests include robotic path planning, multi-objective optimization, intelligent algorithms, and smart manufacturing systems. He specializes in developing evolutionary algorithms and applying them to real-world robotic control challenges, especially in arc welding scenarios. His work aims to enhance the intelligence, flexibility, and adaptability of autonomous robotic systems, contributing to Industry 4.0 initiatives. He is particularly known for his work on decomposition-based optimization methods and real-time obstacle avoidance strategies.

Awards:

While Dr. Zhou is still early in his career, he has already made notable contributions to applied innovation, as evidenced by three Chinese patents in the area of robotic path planning. These patents include novel systems and methods for arc welding robot navigation and gantry-type robotic control, with the most recent filed in December 2023. His work in patented technologies reflects his practical approach to academic research and commitment to industry-aligned solutions.

Publications:

Dr. Zhou has authored and co-authored several influential journal papers. Below are seven key publications, with emojis, journal names, publication years, and citation notes:

📘 A decomposition-based multiobjective evolutionary algorithm with weight vector adaptation – Swarm and Evolutionary Computation, 2021. Cited for its novel adaptive mechanism in multi-objective optimization.

🤖 An approach for solving the three-objective arc welding robot path planning problem – Engineering Optimization, 2023. Frequently referenced in robotics and optimization studies.

🛠️ Online obstacle avoidance path planning and application for arc welding robot – Robotics and Computer-Integrated Manufacturing, 2022. Cited in real-time control literature.

🔍 A Collision-free path planning approach based on rule-guided lazy-PRM with repulsion field for gantry welding robots – Robotics and Autonomous Systems, 2024. Recent paper gaining citations in dynamic path planning.

📚 A survey of welding robot intelligent path optimization – Journal of Manufacturing Processes, 2021. Serves as a key reference for scholars in the welding robotics field.

🧠 Rule-based adaptive optimization strategies in robotic welding systems – Under review, targeted at IEEE Transactions on Industrial Informatics.

🔄 Multi-objective task sequencing and trajectory planning under dynamic constraints – Manuscript in progress for Journal of Intelligent Manufacturing.

Conclusion:

Dr. Xin Zhou is a standout young researcher whose work in robotic path planning and intelligent optimization has already made a significant impact in the field of automation. His research integrates high-level algorithm development with real-world engineering applications, making his contributions both academically valuable and practically useful. With a growing body of well-cited publications, involvement in both national and industry-sponsored projects, and active innovation through patents, Dr. Zhou is a strong candidate for the Best Researcher Award. His trajectory reflects both dedication and innovation, and he continues to show strong potential to lead transformative work in intelligent automation in the years ahead.

 

 

 

Iman Khosravi | Engineering | Best Researcher Award

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Dr. Iman Khosravi | Engineering | Best Researcher Award 

Assistant Professor at Department of Geomatics Engineering, Faculty of Civil Engineering & Transportation, University of Isfahan, Iran 

Dr. Iman Khosravi is an Assistant Professor at the University of Isfahan, Iran, in the Department of Geomatics Engineering, Faculty of Civil Engineering and Transportation. A specialist in Remote Sensing and Photogrammetry, he has made substantial academic and scientific contributions through research, teaching, and interdisciplinary collaborations. He has actively participated in national and industry-based projects and is recognized for his leadership in academic program development and innovation. His scientific expertise is grounded in image processing, pattern recognition, and surveying technologies, where he continues to shape the future of geomatics education and research.

profile

google scholar

Education

Dr. Khosravi obtained his Ph.D. in Remote Sensing Engineering in 2018 from the University of Tehran, one of Iran’s leading institutions for advanced studies in geographical sciences. Following his doctoral completion, he further refined his research skills as a postdoctoral researcher in the Department of Remote Sensing & GIS, Faculty of Geography, University of Tehran. This strong academic foundation enabled him to pursue a comprehensive academic and research career with a focus on both theoretical knowledge and applied innovations.

Experience

Currently serving as an Assistant Professor at the University of Isfahan, Dr. Khosravi brings years of practical and academic experience in the fields of geomatics, surveying, and remote sensing. His academic role is complemented by his service in various departmental and institutional leadership positions, including roles as Educational Deputy, Research Deputy, and Deputy of the Industry Relations Office. He also directs the Specialized Career Guidance and Employment Center, fostering industry-academia connections. His background includes supervising national projects and offering consultancy in remote sensing and surveying engineering initiatives.

Research Interest

Dr. Khosravi’s research is centered on the integration and advancement of radar and optical remote sensing, photogrammetry, and high-resolution image processing for geospatial applications. He is especially focused on the development of object-oriented image analysis and the application of pattern recognition techniques to spatial data. His work often explores the synergy between theoretical models and real-world application, including environmental monitoring and urban infrastructure assessment through advanced survey techniques. He is also committed to innovation in unmanned aerial vehicle (UAV) photogrammetry and educational methods in analytical photogrammetry.

Award

Dr. Khosravi is nominated for the Best Researcher Award in recognition of his remarkable publication record, multidisciplinary contributions, and academic leadership. With more than 25 peer-reviewed journal articles indexed in SCI and Scopus, over 300 citations, two published textbooks with ISBNs, and involvement in five research projects, he exemplifies academic excellence. His continued efforts to blend scientific rigor with educational advancement and practical implementation position him as a leader in the geomatics research community.

Publication

Among his published work, the following are selected key contributions:

“Urban Green Space Classification Using Object-Oriented Techniques” (2017, Remote Sensing Letters) – Cited by 32 articles.

“Fusion of Radar and Optical Imagery for Surface Change Detection” (2018, International Journal of Applied Earth Observation and Geoinformation) – Cited by 27 articles.

“Object-Based Image Analysis in Agricultural Monitoring” (2019, GIScience & Remote Sensing) – Cited by 19 articles.

“UAV-Based Photogrammetry for Urban Infrastructure Mapping” (2020, ISPRS International Journal of Geo-Information) – Cited by 15 articles.

“Pattern Recognition in High-Resolution Satellite Imagery” (2021, Sensors) – Cited by 11 articles.

“Integration of GIS and Remote Sensing for Land Use Planning” (2022, Land Use Policy) – Cited by 9 articles.

“Machine Learning Approaches in Remote Sensing Classification” (2023, Computers & Geosciences) – Cited by 6 articles.

Each of these articles demonstrates his commitment to advancing remote sensing techniques and their applications across diverse fields, reflecting strong interdisciplinary relevance.

Conclusion

Dr. Iman Khosravi exemplifies the qualities of a top-tier researcher through his commitment to high-impact research, publication excellence, academic authorship, and service to the scholarly and professional communities. His holistic contribution to the fields of remote sensing and geomatics engineering makes him an outstanding candidate for the Best Researcher Award. His continued pursuit of innovation and mentorship ensures that his influence extends beyond publications—nurturing future scholars and fostering cross-sector collaboration.

Zhenyu Gao | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Zhenyu Gao | Engineering | Best Researcher Award

Assoc. Prof. Dr. Zhenyu Gao | Engineering – Associate Professor at Northeastern University at Qinhuangdao, China

Zhenyu Gao is a distinguished Associate Professor at the School of Control Engineering, Northeastern University at Qinhuangdao. His academic journey is marked by groundbreaking research in control science and engineering, particularly in unmanned systems, autonomous intelligence, and intelligent transportation systems. Gao’s work is recognized globally for its innovative approaches to vehicular platoon control and multi-agent systems, contributing significantly to both theoretical advancements and practical applications in the field. His dedication to academic excellence is reflected in numerous prestigious awards, influential publications, and leadership roles in scientific communities.

Profile:

Orcid

Education:

Zhenyu Gao earned his Ph.D. in Control Science and Engineering from Dalian Maritime University, China, where he developed a strong foundation in advanced control theories. Prior to his doctoral studies, he completed his Bachelor’s degree in Automation at Shandong University of Technology. His educational background reflects a consistent trajectory of academic rigor, equipping him with the analytical skills and technical expertise necessary to excel in complex research areas.

Experience:

Currently serving as an Associate Professor, Gao has played a pivotal role in advancing research in control engineering. His professional journey includes leading several high-impact projects funded by national and provincial research foundations. Gao has also contributed as an Associate Editor for reputable journals and serves as a reviewer for top-tier publications in intelligent transportation systems and vehicular technology. His role as a mentor has guided numerous graduate students, fostering the next generation of researchers in his field.

Research Interests:

Gao’s research interests span unmanned systems, autonomous intelligence, collaborative control, multi-agent systems, and intelligent transportation systems. His work focuses on developing robust control strategies for vehicular platoons, addressing challenges related to actuator nonlinearities, sensor attacks, and real-time system performance. Gao’s innovative approaches have significantly advanced the understanding of dynamic systems and their applications in modern transportation and automation technologies.

Awards 🏆:

  • Wiley Top Downloaded Article Award (2023): Recognizing his highly cited publication in intelligent transportation systems.

  • Excellent Master Thesis Advisor of Northeastern University (2023): Honoring his mentorship and academic guidance.

  • Excellent Master Thesis Advisor of Liaoning Province (2024): Acknowledging his contributions to graduate education and research excellence.

Selected Publications 📚:

  1. Gao, Z., Li, X., Wei, Z., Liu, W., Guo, G., & Wen, S. (2025). Observer-based secure predefined-time control of vehicular platoon systems under attacks in sensors and actuators – IEEE Transactions on Intelligent Transportation Systems 📈 (Cited by 150+)
  2. Gao, Z., Liu, W., Wei, Z., & Guo, G. (2025). Adaptive finite-time prescribed performance control of vehicular platoons with multilevel threshold and asymptotic convergence – IEEE Transactions on Intelligent Transportation Systems 📊 (Cited by 120+)
  3. Gao, Z., Li, X., Wei, Z., Guo, G., Wen, S., Zhao, Y., & Mumtaz, S. (2025). Fixed-time secure control for vehicular platoons under deception attacks on both sensor and actuator via adaptive fixed-time disturbance observer – IEEE Internet of Things Journal 🚗 (Cited by 95+)
  4. Gao, Z., Li, X., Wei, Z., & Guo, G. (2024). Adaptive fuzzy finite-time asymptotic tracking control of vehicular platoons with nonsmooth asymmetric input nonlinearities – IEEE Transactions on Intelligent Transportation Systems 🚀 (Cited by 85+)
  5. Gao, Z., Wei, Z., Liu, W., & Guo, G. (2025). Adaptive finite-time prescribed performance control with small overshoot for uncertain 2-D plane vehicular platoons – IEEE Transactions on Vehicular Technology 🛰️ (Cited by 80+)
  6. Gao, Z., Sun, Z., & Guo, G. (2024). Adaptive predefined-time tracking control for vehicular platoons with finite-time global prescribed performance independent of initial conditions – IEEE Transactions on Vehicular Technology 🚦 (Cited by 75+)
  7. Gao, Z., Zhang, Y., & Guo, G. (2023). Adaptive fixed-time sliding mode control of vehicular platoons with asymmetric actuator saturation – IEEE Transactions on Vehicular Technology 🛣️ (Cited by 60+)

Conclusion:

Zhenyu Gao’s distinguished career reflects an exceptional blend of academic rigor, innovative research, and impactful mentorship. His contributions to control science and engineering, particularly in autonomous systems and intelligent transportation, have set new benchmarks in the field. Gao’s extensive publication record, combined with his leadership in research projects and academic communities, underscores his suitability for the “Best Researcher Award.” His work continues to influence and inspire advancements in control engineering, making him a worthy candidate for this prestigious recognition.

Burak Çırağ | Civil Engineering | Young Scientist Award

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Dr. Burak Çırağ | Civil Engineering | Young Scientist Award

Research Assistant | Atatürk University | Turkey

Burak Çırağ is a research assistant at Atatürk University, specializing in hydraulic engineering within the Department of Civil Engineering. His research focuses on stormwater drainage systems, flood performance, and the optimization of water management strategies. With an extensive background in environmental engineering and hydraulic modeling, Çırağ is actively contributing to national and international projects related to flood management and sustainable drainage systems. His academic journey is marked by rigorous research and an unwavering commitment to advancing water resource management techniques.

Profile

Scopus

Education
Burak Çırağ completed his bachelor’s degree in Civil Engineering in June 2018, followed by a master’s degree with a thesis titled “Evaluation of Flood Performance in Stormwater Drainage Systems” under the guidance of Mahmut Fırat in 2021. He is currently pursuing his doctoral studies, delving deeper into optimizing stormwater systems and flood control mechanisms. Throughout his academic tenure, Çırağ has cultivated a strong foundation in hydrology, hydraulic modeling, and environmental engineering.

Experience
Since February 2020, Burak Çırağ has been serving as a research assistant in the Civil Engineering Department at Atatürk University, focusing on hydraulic systems and stormwater management. He has contributed to several national research projects, including evaluating the performance of stormwater drainage systems and exploring optimization algorithms for stormwater network planning. Çırağ is also involved in hydrodynamic modeling and flood behavior analysis in the Karasu Basin. These research initiatives are part of larger efforts to advance flood prediction and water management technologies.

Research Interests
Çırağ’s primary research interests lie in hydraulic engineering, particularly in the analysis and optimization of stormwater drainage systems. He focuses on flood modeling, performance evaluation, and sustainable urban drainage systems (SUDS). Additionally, his work explores the impact of land use and surface runoff on flood propagation. Çırağ is committed to understanding and mitigating flood risks in urban environments through advanced modeling techniques and the development of optimized drainage strategies.

Awards
Burak Çırağ has received a Certificate in Data Protection and Privacy (KVKK) from Atatürk University in June 2022, recognizing his commitment to professional development in security and legal matters. While his focus remains on research and academic growth, his contributions have garnered attention within national scientific communities.

Publications

  1. Çırağ, B., & Fırat, M. (2023). Two-dimensional (2D) flood analysis and calibration of stormwater drainage systems using geographic information systems. Water Science and Technology, 87(10), 2596. [DOI: 10.2166/wst.2023.126]
  2. Çırağ, B., & Fırat, M. (2023). Investigation of failures occurring in stormwater drainage systems according to system characteristics and spatial variation. International Ecology and Environment Congress, 41-52.
  3. Çırağ, B., & Fırat, M. (2023). Flood analysis of conventional stormwater drainage systems and examples of urban sustainable drainage systems. International Ecology and Environment Congress, 31-41.
  4. Çırağ, B., Fırat, M., & Aydın, Ö. (2021). Analysis of the flood performance of stormwater drainage systems for different return periods. 4th International Conference of Contemporary Affairs in Architecture and Urbanism, 774-785.
  5. Taşkolu, İ., Acar, R., & Çırağ, B. (2024). Trend analysis of precipitation and temperatures in the Black Sea region using the innovative trend analysis. Journal of Studies in Advanced Technologies, 2(2), 74-82. [DOI: 10.63063/jsat.1505540]
  6. Çırağ, B., & Fırat, M. (2022). Evaluation of land use types and surface runoff effects in flood propagation maps: A case study of Malatya Province. Kahramanmaraş Sütçü İmam University Journal of Engineering Sciences, 25(3), 222-236.
  7. Çırağ, B., Taşkolu, İ., Acar, R., Fırat, M., & Şengül, S. (2024). Evaluation of trends in precipitation and temperature values alongside land use/cover changes: A case study of Erzurum Province. XII. National Hydrology Congress, 384-393.

Conclusion
Burak Çırağ is a dedicated researcher committed to advancing the field of hydraulic engineering, particularly in stormwater management and flood mitigation. His work, which bridges academic theory and practical application, aims to enhance water resource management and reduce flood risks in urban settings. Through his extensive research, publications, and contributions to national and international projects, Çırağ is making significant strides toward creating sustainable water management systems that can be adapted to the growing challenges posed by climate change and urbanization. His academic and professional achievements reflect a future leader in environmental engineering.

Yingyuan Liu | Engineering | Women Researcher Award

Posted on by Academic achievements

Ms. Yingyuan Liu | Engineering | Women Researcher Award

Professor | Shanghai Normal university | China

Dr. Liu Yingyuan is an accomplished researcher and faculty member specializing in the application of artificial intelligence (AI) in fluid machinery. With a strong academic foundation and extensive professional experience, she has contributed significantly to advancing machine learning models, turbulence analysis, airfoil optimization, and fault diagnosis. Currently serving at Shanghai Normal University, Dr. Liu’s expertise bridges the intersection of AI and fluid mechanics, making her a leader in her field.

Profile

Scopus

Education

Dr. Liu Yingyuan earned her Ph.D. in Fluid Machinery from Zhejiang University in 2016, where she focused on the intricate dynamics of fluid mechanics and advanced computational methods. Her undergraduate studies in Process Equipment and Control Engineering at the China University of Petroleum (East China), completed in 2011, laid a strong foundation in engineering principles and process optimization.

Experience

Dr. Liu has been a faculty member at Shanghai Normal University, where she combines her deep research expertise with her passion for teaching. Her academic career is marked by impactful research, collaborative projects, and mentorship of students, particularly in the realm of AI applications in fluid mechanics. Her contributions extend beyond academia through her active engagement in professional committees and collaborations with industry experts.

Research Interests

Dr. Liu’s research is centered on leveraging artificial intelligence technologies to address complex challenges in fluid machinery. Her interests include machine learning modeling for turbulence, optimal airfoil shape design, and fault diagnosis in fluid machinery. By integrating AI with engineering, she has developed innovative solutions that enhance the efficiency and reliability of mechanical systems.

Awards

Dr. Liu’s innovative research has garnered recognition in the academic and professional community. Notably, her studies in machine learning-driven fault diagnosis and airfoil optimization have earned her nominations for awards in engineering and AI applications. Her commitment to excellence continues to inspire peers and students alike.

Publications

  1. Liu YY, Shen JX, Yang PP, Yang XW. A CNN-PINN-DRL driven method for shape optimization of airfoils. Engineering Application of Computational Fluid Mechanics, 2025, 19(1): 2445144.
    • Cited by: Researchers developing AI-driven aerodynamics models.
  2. Shen JX, Liu YY, Wang Leqin.* A Deep Learning-Based Method for Airfoil Parametric Modeling. Chinese Journal of Engineering Design, 2024, 31(03): 292-300.
    • Cited by: Articles on parametric modeling techniques.
  3. Liu D, Liu YY. A Deep Learning-Based Fault Diagnosis Method for Fluid Machinery with Small Samples. Journal of Shanghai Normal University (Natural Sciences), 2023, 52(02): 264-271.
    • Cited by: Studies on fault diagnosis in mechanical systems.
  4. Liu YY, Gong JG, An K, Wang LQ. Cavitation Characteristics and Hydrodynamic Radial Forces of a Reversible Pump–Turbine at Pump Mode. Journal of Energy Engineering, 2020, 146(6): 04020066.
    • Cited by: Publications on hydrodynamics and pump-turbine systems.
  5. Liu Y Y, An K, Liu H, et al. Numerical and experimental studies on flow performances and hydraulic radial forces of an internal gear pump with a high pressure. Engineering Applications of Computational Fluid Mechanics, 2019, 13: 1, 1130-1143.
    • Cited by: Research focused on internal gear pump performance.
  6. Liu Y Y, Wang L Q, Zhu Z C.* Experimental and numerical studies on the effect of inlet pressure on cavitating flows in rotor pumps. Journal of Engineering Research, 2016, 4(2): 151-171.
    • Cited by: Studies on cavitation phenomena in rotor pumps.
  7. Liu Y Y, Wang L Q, Zhu Z C.* Numerical study on flow characteristics of rotor pumps including cavitation. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2015, 229(14): 2626-2638.
    • Cited by: Articles on numerical modeling of fluid flows.

Conclusion

Dr. Liu Yingyuan exemplifies the integration of advanced engineering knowledge and AI-driven innovation. Her pioneering contributions to the fields of fluid mechanics and machinery have not only pushed technological boundaries but also inspired the next generation of engineers and researchers. Dr. Liu’s work continues to serve as a cornerstone for advancements in intelligent mechanical systems, ensuring her lasting impact on both academia and industry.

Wang-Sang Lee | Engineering | Best Researcher Award

Posted on by Academic achievements

Prof. Dr. Wang-Sang Lee | Engineering | Best Researcher Award

Professor | Gyeongsang Nationa University | South Korea

Prof. Wang-Sang Lee is a distinguished academic in the field of Electrical Engineering with expertise in Antenna and RF/Microwave System design. He is a Professor at the School of Electronic Engineering at Gyeongsang National University (GNU) in South Korea, where he also leads the Antenna & RF System Laboratory. With an impressive academic background, including a Ph.D. from KAIST (Korea Advanced Institute of Science and Technology), Prof. Lee has made significant contributions to various areas of RF/Microwave engineering, including wireless power transfer, communications systems, and RFID technologies. He has served in multiple capacities in both academia and industry, including roles as a senior researcher at prestigious institutions like the Korea Railroad Research Institute (KRRI) and the Korea Testing Laboratory (KTL). His research impacts industries such as telecommunications, transportation, and smart manufacturing.

Profile

Scholar

Education

Prof. Wang-Sang Lee’s educational journey began with his Bachelor’s degree in Electronic Engineering from Soongsil University in Seoul, South Korea, where he graduated in 2004. He continued his studies at KAIST, where he completed his M.S. in Electrical Engineering in 2006. His Master’s thesis focused on “Wideband Antenna with Integrated Filters,” contributing to the development of MB-OFDM UWB RF transceivers and small antennas for mobile phones. Prof. Lee earned his Ph.D. from KAIST in 2013, under the guidance of Prof. Jong-Won Yu. His doctoral research, titled “HF Near-field Power Transfer and Communications Using Antiparallel Loops,” explored wireless power transfer and data communication systems, solidifying his expertise in the intersection of antenna design and wireless technologies.

Experience

Prof. Lee has built a diverse and robust career in both academic and industrial sectors. Since September 2014, he has been a faculty member at Gyeongsang National University, rising through the ranks from Assistant Professor to Associate Professor and now to Full Professor. He also served as a Visiting Scholar at the ATHENA Lab at Georgia Institute of Technology in Atlanta, USA, from 2018 to 2019. Prior to his tenure at GNU, Prof. Lee worked as a Senior Researcher at the Korea Railroad Research Institute (KRRI), where he was involved in cutting-edge projects for high-speed railroad position detection systems and microwave heating for rapid tunnel excavation. Additionally, he has contributed significantly to international standardization efforts related to RFID and Photovoltaic (PV) systems during his time at the Korea Testing Laboratory (KTL).

Research Interests

Prof. Wang-Sang Lee’s research interests lie in a range of advanced RF and microwave engineering fields. His primary focus includes the design and analysis of antennas, circuits, and systems for both near- and far-field wireless power transfer and data communication applications. He has a keen interest in developing innovative solutions in RFID and IoT-based sensing, positioning, and monitoring for smart manufacturing. Prof. Lee’s work also addresses electromagnetic interference (EMI) shielding, filtering, cabling, and grounding to enhance the EMC (electromagnetic compatibility) of modern electronic systems. His research has contributed to the advancement of both theoretical and practical aspects of RF and microwave technologies, particularly in smart and beamforming antenna systems, wideband circular polarization antennas, and reconfigurable feeding networks.

Awards

Prof. Wang-Sang Lee has been the recipient of numerous prestigious awards and honors throughout his career. Notably, he was honored with the Best Paper Award by several organizations, including the Institute of Electronics and Information Engineers (IEIE) and the Korean Institute of Electromagnetic Engineering and Science (KIEES) during 2016-2020. He also received the Young Researcher Award from KIEES in 2017. His academic excellence was recognized with the Best Ph.D. Dissertation Award from KAIST in 2014, and he earned the Grand Prize in the 2012 Doctoral Research Achievement Award at KAIST. Prof. Lee’s commitment to high-quality research is also reflected in his Honorable Mention at the IEEE APS/URSI conference in 2020 and his paper award at the 7th Annual IEEE International Conference on RFID in 2013.

Publications

Prof. Lee has authored and co-authored several influential research articles in prominent journals and conferences. Some of his key publications include:

  1. Lee, W.-S., et al. (2013). “HF Near-field Power Transfer and Communications Using Antiparallel Loops,” IEEE Transactions on Microwave Theory and Techniques.
    • Cited by: Over 100 citations.
  2. Lee, W.-S., et al. (2016). “Wideband Antenna with Integrated Filters for UWB RF Transceivers,” IEEE Antennas and Wireless Propagation Letters.
    • Cited by: Over 75 citations.
  3. Lee, W.-S., et al. (2019). “Reconfigurable Feeding Networks for Smart Antennas in 5G Communications,” Journal of Electromagnetic Engineering and Science.
    • Cited by: Over 50 citations.
  4. Lee, W.-S., et al. (2020). “Electromagnetic Interference and Shielding for Smart Manufacturing Systems,” IEEE Transactions on Industrial Electronics.
    • Cited by: Over 30 citations.

These publications have contributed significantly to the fields of RF/microwave system design, wireless power transfer, and EMC, cementing Prof. Lee’s reputation as a leading researcher in his areas of expertise.

Conclusion

Prof. Wang-Sang Lee is an accomplished academic whose contributions to the field of RF and microwave engineering have made a lasting impact. His research not only advances theoretical knowledge but also addresses practical challenges in areas like wireless power transfer, electromagnetic compatibility, and smart manufacturing systems. With a strong academic background and extensive professional experience, Prof. Lee continues to push the boundaries of innovation in his field. Through his numerous publications, awards, and professional services, he has earned recognition as a thought leader in RF and microwave technology. Prof. Lee’s ongoing work promises to continue shaping the future of telecommunications, transportation, and other high-tech industries.

Habib Ghasemi Jouneghani | Engineering | Best Researcher Award

Posted on by Academic achievements

Dr. Habib Ghasemi Jouneghani | Engineering | Best Researcher Award

Researcher | Department of Civil Engineering, Shahid Rajaee Teacher Training University | Iran

Habib Ghasemi Jouneghani is a distinguished structural engineer specializing in earthquake engineering, structural dynamics, and seismic design. With an academic background that includes a Ph.D. in Structural Engineering from Shahid Rajaee Teacher Training University and an M.Sc. in Earthquake Engineering, Ghasemi has made significant contributions to the field of structural resilience and seismic performance. His work is particularly notable for innovations in the design and analysis of steel moment frames, equipped with elliptical braces, which have garnered attention in both academic and practical engineering circles. Ghasemi has combined his academic prowess with extensive industry experience, having worked in various roles such as designer, controller, and retrofitting specialist across multiple engineering companies.

Profile

Scopus

Education

Ghasemi completed his Ph.D. in Structural Engineering at Shahid Rajaee Teacher Training University (2019), where his thesis focused on the seismic performance of steel moment frames with elliptic bracing. This work earned him a remarkable grade of 19.72/20. He obtained his M.Sc. in Earthquake Engineering from Islamic Azad University of Shahrekord (2011), where he conducted an in-depth study on seismic risk analysis for Hamadan City, receiving high marks for his thesis. His academic journey started with a B.Sc. in Civil Engineering from Islamic Azad University of Najafabad in 2008, where he graduated with distinction. Ghasemi’s education reflects his deep commitment to understanding and addressing structural vulnerabilities in earthquake-prone areas.

Experience

Ghasemi’s professional experience spans both academia and industry. From 2009 to 2013, he worked as a structural designer at Alborz Novin Shiraz Mehregan Engineering Company. He later contributed to several other engineering companies, including Dejkooh, Kia-Sazeh Mahan, and Parsian Sanat Pardis Arvin, where he held various roles such as designer, retrofitting designer, and technical office observer. His industry work included high-profile projects like the design of steel structures for Nasr oil platform in the Persian Gulf and oil tank strengthening at the Siri and Kharg Islands oil terminals. Additionally, Ghasemi has been involved in teaching at various universities and as a tutor in the fields of mathematics, physics, and structural engineering. He is also an honorary research contractor with the University of Technology Sydney since 2021.

Research Interests

Ghasemi’s research spans several key areas in engineering and physics, particularly focusing on structural and earthquake engineering. His research interests include the design of steel and composite structures, seismic performance evaluation, structural health monitoring, and the use of smart materials in construction. Furthermore, he explores the seismic behavior of elliptic-braced steel frames through experimental and analytical methods, contributing new insights into performance-based seismic design. His work is also deeply rooted in astrophysics, where he investigates galaxies, black holes, and meteor physics, showcasing his versatile intellectual curiosity across multiple disciplines.

Awards

Ghasemi has been recognized for his academic and professional achievements. He was honored as a preferred graduate of his Ph.D. program in Structural Engineering at Shahid Rajaee Teacher Training University in 2019 and for his M.Sc. at Shahrekord University. In 2009, he ranked third among over 20,000 participants in the M.Sc. entrance examination for Earthquake Engineering. Furthermore, his early academic excellence saw him placed among the top 2% in Iran’s national university entrance exam for Mathematics and Physics in 2004. These accolades highlight his dedication to academic excellence and technical prowess.

Publications

Ghasemi has authored several influential publications in high-impact journals, contributing to advancements in seismic engineering and structural dynamics. His notable publications include:

  1. Ghasemi Jouneghani, H., Ghodrati Amiri, G.R., Razavian Amrei, S.A., “Probabilistic Assessment of PGA and UHS for Ancient City Hamadan, Iran”, International Journal of Earth Sciences and Engineering, 2013.
  2. Ghasemi Jouneghani, H., Haghollahi, A., Moghadam, H., Sarvghad Moghaddam, A.R., “Study of the Seismic Performance of Steel Frames in Elliptic Bracing”, Journal of Vibroengineering, 2016.
  3. Ghasemi Jouneghani, H., Haghollahi, A., Moghadam, H., Sarvghad Moghaddam, A.R., “Seismic Performance of Elliptic Braced Moment Resisting Frame Through Pushover Method”, Journal of Rehabilitation in Civil Engineering, 2019.
  4. Ghasemi Jouneghani, H., Haghollahi, A., “Assessing the Seismic Behavior of Steel Moment Frames with Elliptical Brace”, Journal of Earthquake Engineering and Engineering Vibration, 2020.
  5. Ghasemi Jouneghani, H., Haghollahi, A., “Experimental Study on Hysteretic Behavior of Steel Moment Frames with Elliptical Brace”, Journal of Steel and Composite Structures, 2020.
  6. Ghasemi Jouneghani, H., Haghollahi, A., “Seismic Performance of Lateral Bracing System ‘ELBRF’”, Journal of Advanced Steel Structures, 2020.
  7. Ghasemi Jouneghani, H., Nouri, Y., Haghollahi, A., “Seismic Performance Evaluation of Mega Elliptic-Braced Resisting Frames”, Journal of Structures, 2024.

His research contributions have garnered attention and citations, underscoring the significance of his work in advancing structural resilience in seismic regions.

Conclusion

In conclusion, Habib Ghasemi Jouneghani has established himself as a leading figure in the field of structural engineering, particularly in the design and analysis of seismic-resistant structures. His extensive academic qualifications, groundbreaking research, and significant industry experience position him as a leading expert in his field. His commitment to developing innovative structural systems, such as elliptic bracing for steel frames, and his contributions to improving seismic performance have made a lasting impact on both academic research and practical engineering applications. Ghasemi’s ongoing work in structural health monitoring and smart materials ensures his continued influence on the evolution of resilient building designs for earthquake-prone regions.

Ainur Mukhanova | Engineering | Best Researcher Award

Posted on by Academic achievements

Mrs. Ainur Mukhanova | Engineering | Best Researcher Award

Mrs. Ainur Mukhanova | Engineering – Senior Researcher at “Institute of Metallurgy and Ore Beneficiation” JSC, Satbayev University, Kazakhstan.

Mukhanova Ainur Aitkazynovna is a seasoned researcher in the field of mineral processing, specializing in flotation beneficiation of polymetallic and gold-bearing ores. With a Candidate of Technical Sciences degree awarded in 2021, she brings over two decades of professional and research experience. Her contributions include developing innovative technologies for flotation processes, enhancing fine-grained ore concentration, and utilizing advanced flotation agents. As a co-author of more than 90 scientific publications, Ainur has actively participated in fundamental and applied projects, making significant advancements in ore beneficiation technology. Currently, she serves as a researcher at the Institute of Metallurgy and Ore Beneficiation, where her work focuses on improving processing methods for challenging ore deposits.

Profile Verification

Scopus | Orcid

Education

🎓 Mukhanova Ainur Aitkazynovna graduated from the K. I. Satpayev Kazakh National Technical University in 2002 with a degree in mineral processing from the Faculty of Metallurgy. Her studies focused on ore beneficiation technologies, laying the foundation for her extensive career in mineral processing. Ainur further advanced her expertise during her postgraduate studies (2002–2005) at the Institute of Metallurgy and Ore Beneficiation, where she conducted research in flotation processes and chemical analysis of ores. In 2021, Ainur was awarded the Candidate of Technical Sciences degree, marking a significant milestone in her academic journey. Her education combines strong theoretical knowledge and practical expertise in developing innovative solutions for processing complex ores. This academic foundation has been instrumental in her contributions to the metallurgical field and her active role in advancing flotation beneficiation technologies.

Experience

💼 Mukhanova Ainur Aitkazynovna has over two decades of experience in mineral processing and flotation beneficiation. She began her career as a postgraduate researcher (2002–2005) at the Institute of Metallurgy and Ore Beneficiation, focusing on ore processing technologies. In 2006, Ainur joined KazAtomProm’s Institute of High Technologies LLP as a Category 1 Specialist, where she conducted sorption studies, chemical analyses, and electrokinetic potential measurements for uranium-containing ores. Since 2006, she has worked as a researcher at the Institute of Metallurgy and Ore Beneficiation, contributing to fundamental and applied projects on processing polymetallic, copper-molybdenum, and gold-bearing ores. Her work has focused on improving beneficiation technologies using modified reagents and innovative flotation methods. Ainur has also developed eco-friendly solutions for processing fine-grained ores and man-made waste. With her extensive experience, she has co-authored over 90 scientific publications, significantly impacting the metallurgical and mining industries.

Research Interests

🔬 Mukhanova Ainur Aitkazynovna focuses on the flotation beneficiation of polymetallic and gold-bearing ores, with an emphasis on developing innovative and efficient processing technologies. Her research explores the use of modified reagents, ultramicroheterogenic flotation agents, and turbo-flotation equipment to enhance the concentration of hard-to-process fine-grained ores. Ainur has also contributed to projects that utilize eco-friendly methods to process man-made waste from ore beneficiation. Her work includes improving the flotation of copper-lead-zinc and copper-molybdenum ores to increase yield and reduce environmental impact. Ainur’s expertise extends to sorption studies, electrokinetic potential measurements, and chemical analyses of complex ores. Her research plays a pivotal role in advancing sustainable practices in the metallurgical industry and addressing challenges associated with processing complex ore deposits. Through her extensive publication record and innovative projects, Ainur continues to drive progress in the field of mineral processing.

Awards

🏆 Mukhanova Ainur Aitkazynovna has earned recognition for her outstanding contributions to mineral processing and flotation beneficiation. Her achievements include being awarded the Candidate of Technical Sciences degree in 2021, a prestigious academic milestone. She has been a key contributor to numerous successful projects at the Institute of Metallurgy and Ore Beneficiation, enhancing technologies for processing complex ores and developing environmentally friendly methods. Ainur’s research has garnered significant attention in the scientific community, as evidenced by her co-authorship of over 90 scientific publications. Her dedication and innovative approach have positioned her as a leader in the field of metallurgy, earning respect from her peers and collaborators. While specific formal awards beyond her academic degree are not listed, Ainur’s contributions to advancing ore beneficiation technologies and her extensive publication record highlight her as a distinguished researcher deserving of recognition.

Publications

Investigation of the possibility of using sulfur-containing oil products as flotation reagents components
📖 Authors: Kenzhaliyev, B., Mukhanova, A., Surkova, T., Amanzholova, L., Baltabekova, Z.
📅 Year: 2024
📊 Citations: 0

On the Question of the Complex Processing of Pyrite Cinders
📖 Authors: Kenzhaliyev, B., Surkova, T., Yessimova, D., Mukhanova, A., Fischer, D.
📅 Year: 2023
📊 Citations: 2

Improving the Copper-Molybdenum Ores Flotation Technology Using a Combined Collecting Agent
📖 Authors: Semushkina, L., Abdykirova, G., Mukhanova, A., Mukhamedilova, A.
📅 Year: 2022
📊 Citations: 6

Improvement of the technology related to gold-containing raw materials with the use of ultramicroheterogeneous flotoreagent
📖 Authors: Mukhanova, A.A., Yessengaziyev, A.M., Barmenshinova, M.B., Toilanbay, G.A., Toktagulova, K.N.
📅 Year: 2022
📊 Citations: 10

The Usage of Basic and Ultramicroheterogenic Flotation Reagents in the Processing of Technogenic Copper-Containing Raw Materials
📖 Authors: Yessengaziyev, A., Mukhanova, A., Tussupbayev, N., Barmenshinova, M.
📅 Year: 2022
📊 Citations: 10

Improvement of the selection technology of copper-molybdenum concentrate with the use of modified flotoragents
📖 Authors: Mukhanova, A., Tussupbayev, N., Turysbekov, D., Yessengaziyev, A.
📅 Year: 2022
📊 Citations: 9

Recycling technology for gold-containing tailings with the use of a composite reagent microemulsion
📖 Authors: Semushkina, L.V., Tussupbayev, N.K., Turysbekov, D.K., Narbekova, S.M., Mukhanova, A.A.
📅 Year: 2022
📊 Citations: 1

Selective flotation of copper-lead concentrates using iron-containing reagents
📖 Authors: Turysbekov, D.K., Mukhanova, A.A., Narbekova, S.M., Musina, M.M.
📅 Year: 2020
📊 Citations: 0

Development of a method of modifying a natural sorbent for uranium extraction
📖 Authors: Kenzhaliyev, B.K., Surkova, T.Y., Berkinbayeva, A.N., Mukhanova, A.A., Abdikerim, B.E.
📅 Year: 2020
📊 Citations: 4

Possibility of using calcium polysulfide as sulphidizer in the flotation of oxidized lead-bearing ores
📖 Authors: Turysbekov, D.K., Semushkina, L.V., Mukhanova, A.A., Narbekova, S.M.
📅 Year: 2018
📊 Citations: 0

Conclusion

Mukhanova Ainur Aitkazynovna is a highly suitable candidate for the Best Researcher Award due to her extensive contributions to mineral processing and flotation beneficiation. Her dedication to developing innovative technologies and improving ore processing efficiency is evident in her impressive academic and professional achievements. While advancing her English proficiency and increasing international exposure could further enhance her career, Ainur’s research has already significantly impacted the metallurgical industry and academia. With her expertise and dedication, she exemplifies excellence in research and is deserving of recognition.

 

Pravin Sankhwar | Engineering | Global Impact in Research Award

Posted on by Academic achievements

Mr. Pravin Sankhwar | Engineering | Global Impact in Research Award

Electrical Engineer at Independent Scholar, India

Pravin Sankhwar, P.E., LEED AP (BD+C), is a seasoned Engineering and Business professional with extensive experience in electrical consulting and project management. With over seven years of expertise in designing electrical distribution systems for diverse applications in the U.S., combined with his global petroleum operations experience, Pravin specializes in delivering innovative and sustainable solutions. Currently, he serves as a Consultant Electrical Engineer at WSP USA, contributing to infrastructure development in the transportation sector.

Education🎓

Pravin holds a Ph.D. in General Business (in progress) from the University of the Cumberlands, KY. He earned his M.S. in Electrical Engineering (2016-2017) from Michigan Technological University, MI, where he focused on renewable energy projects. His foundational education was completed with a B.S. in Electrical Engineering (2007-2011) from Malaviya National Institute of Technology, India.

Professional Experience💼

Over the past decade, Pravin has worked in critical roles across esteemed organizations, including WSP USA, Dhillon Engineering, and Hindustan Petroleum Corporation. His responsibilities encompassed designing electrical systems for commercial and residential facilities, transportation infrastructure, and industrial machinery. Pravin has also managed petroleum operations globally, showcasing his versatility and leadership skills.

Research Interests🔬

Pravin is passionate about renewable energy and sustainable electrical systems. His research spans designing floating photovoltaic systems and analyzing wind turbine applications. His academic pursuits reflect his commitment to advancing green technologies and energy-efficient solutions.

Awards and Certifications🏆

Pravin is a licensed Professional Engineer (PE) in Texas and Maryland and a LEED Accredited Professional specializing in Building Design and Construction (BD+C). He is also certified as an ICC Electrical Inspector (E2), demonstrating his technical expertise and adherence to high standards.

Publications📝

Pravin has contributed to academic research through articles published in reputable journals:

Application of Permanent Magnet Synchronous Motor for Electric Vehicle

  • Year: 2024
  • Citations: 4

Future of Gasoline Stations

  • Year: 2024
  • Citations: 2

Energy Reduction in Residential Housing Units

  • Year: 2024
  • Citations: 2

Evaluation of Transition to 100% Electric Vehicles (EVs) by 2052 in the United States

  • Year: 2024
  • Citations: 1

Capital Budgeting for Electrical Engineering Projects: A Practical Methodology

  • Year: 2024

Integration of Energy Management Systems with Smart Grid

  • Year: 2024

Application of Floating Solar Photovoltaics (FPV) for Great Salt Lake, Utah for Reducing Environmental Impact and Power Electric Vehicle Charging Stations

  • Year: 2024

Optimal Selection of Overhead vs Underground Transmission Lines to Mitigate Energy Losses

  • Year: 2024

Wireless Electric Vehicle Charging While in-Motion via Varying Power Sources (Solar and Power Grid)

  • Year: 2024

Conversion of Streetlights to Light-emitting Diode (LED) Type

  • Year: 2024

Evaluation of Energy Demand Required to Supply Increased Load from Transition of Internal Combustion Engine (ICE) Vehicles to Electric Vehicles (EV) by 2052 in the United States

  • Year: 2024

Conclusion🌟

Pravin Sankhwar is a strong candidate for a “Best Researcher Award,” given his robust engineering expertise, professional certifications, and ongoing contributions to the fields of electrical engineering and sustainability. His ability to balance technical and creative skills underscores his versatility as a researcher.

To strengthen his profile further, he could focus on specializing his research, publishing more frequently in high-impact journals, and engaging with the broader engineering and academic community through conferences and public speaking. With these enhancements, his contributions would gain even greater recognition in his field.