Wako Golicha Wako | Environmental Health | Best Researcher Award

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Mr. Wako Golicha Wako | Environmental Health | Best Researcher Award

PhD Researcher, University of Edinburgh, United Kingdom

Dr. Wako Golicha Wako is currently a PhD researcher at the School of Health in Social Sciences at The University of Edinburgh, UK. With a passion for improving public health outcomes in Sub-Saharan Africa, he has made significant contributions to research on maternal and child health, infectious diseases, and health system strengthening. His educational background includes a Master of Public Health (MPH) from Hawassa University, Ethiopia, and a Bachelor of Science in Public Health from the same institution. With extensive work experience as a lecturer, researcher, and public health consultant, he has played a pivotal role in academic and health program evaluations across Ethiopia. His research focuses on the health challenges faced by rural populations in Ethiopia and other parts of Sub-Saharan Africa. His work is aimed at creating evidence-based solutions to improve maternal and child health outcomes and strengthen health systems.

Profile

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Education

Dr. Wako’s academic journey began at Hawassa University, Ethiopia, where he completed his Bachelor of Science in Public Health in 2012, graduating with a CGPA of 3.79/4. He went on to pursue a Master in Public Health at the same institution, where he excelled academically with a CGPA of 3.94/4. Currently, he is pursuing a PhD in Health in Social Science at The University of Edinburgh, UK. His doctoral research is focused on understanding and addressing public health challenges within the Ethiopian context, particularly in rural and underserved communities.

Experience

Dr. Wako has a wealth of experience in teaching, research, and consultancy within the public health sector. He has worked as an assistant professor at Bule Hora University and Woklite University in Ethiopia, where he lectured on public health topics such as epidemiology, research methods, and health systems. In addition, he has served as a research assistant and consultant for multiple international organizations, including Forcier Consulting LLC and Nutrition International, where he played a key role in conducting research on public health programs. His consultancy work has involved evaluating health interventions aimed at improving maternal and child health, managing communicable diseases, and addressing public health emergencies. Through his work with institutions such as UNICEF and Emory University, Dr. Wako has developed expertise in qualitative and quantitative research methods, contributing significantly to the public health landscape in Ethiopia.

Research Interests

Dr. Wako’s primary research interests include maternal and child health, health system strengthening, and epidemiology. His work focuses on identifying and addressing the public health challenges faced by vulnerable populations in Ethiopia and Sub-Saharan Africa, particularly in rural and marginalized areas. He is particularly interested in neonatal care practices, the impact of maternal education on breastfeeding practices, health system diagnostic delays, and the response to public health emergencies such as the COVID-19 pandemic. Through his research, Dr. Wako seeks to generate evidence that informs policy and practice, aiming to improve health outcomes in the region. He also focuses on the role of community-based health interventions and the integration of health systems in rural Ethiopia.

Award

Dr. Wako’s academic excellence has been recognized through various awards. In 2012, he received a Certificate of Academic Excellence from Hawassa University for ranking first among 55 students in his cohort. This acknowledgment highlights his commitment to high standards in public health education and research. He continues to contribute to the field through his dedication to advancing knowledge and public health practice in Ethiopia and beyond.

Publication Top Note

Wako WG, Beyene BN, Wayessa ZJ, Fikrie A, Amaje E. “Assessment of Neonatal Thermal Cares: Practices and Beliefs among Rural Women in West Guji Zone, South Ethiopia: A Cross-sectional Study.” PLOS Glob Public Health, 2022: 2:e0000568.

Wako WG, Wayessa ZJ, Fikrie A. “Effects of Maternal Education on Early Initiation and Exclusive Breastfeeding Practices in Sub-Saharan Africa: A Secondary Analysis of Demographic and Health Surveys from 2015-2019.” BMJ Open, 2022; 12: e054302.

Wayessa ZJ, Wako WG. “Factors Associated with Knowledge of Health Care Workers Toward COVID‐19 in Health Facilities West Guji Zone, Southern Ethiopia, 2020.” J Edu Health Promot, 2022: 11:43.

Wako WG, Wasie A, Wayessa Z, Fikrie A. “Determinants of Health System Diagnostic Delay of Pulmonary Tuberculosis in Gurage and Siltie Zones, South Ethiopia: A Cross-sectional Study.” BMJ Open, 2021; 11(10):e047986.

Fikrie A, Amaje E, Wako WG. “Social Distancing Practice and Associated Factors in Response to COVID-19 Pandemic at West Guji Zone, Southern Ethiopia, 2021: A Community Based Cross-sectional Study.” PLOS One, 2021; 16(12):e0261065.

Abebaw Wasie Kasahun, Haimanot Abebe Adane, Tadele Girum, Wako WG. “Effects of Scaling Up Family Planning on Maternal Survival in Ethiopia: Spectrum Modeling.” International Journal of Women’s Health, 2021; 13:711–716.

Zelalem Jabessa Wayessa, Girma Tufa Melesse, Elias Amaje Hadona, and Wako WG. “Prevalence of Depressive Symptoms Due to COVID-19 and Associated Factors Among Healthcare Workers in Southern Ethiopia.” SAGE Open Medicine, 2021; 9:1–10.

Conclusion

Dr. Wako Golicha Wako’s career exemplifies a commitment to improving public health through research, teaching, and consultancy. With a strong academic background, valuable professional experience, and a focus on addressing pressing health challenges in Sub-Saharan Africa, particularly Ethiopia, he continues to contribute to the field of public health. His research on neonatal care, maternal health, and health systems has gained recognition and serves as a foundation for ongoing public health improvements. Through his work, Dr. Wako is dedicated to translating research into actionable solutions that can lead to better health outcomes in his region and beyond.

Lei Chen | High pressure flow | Best Researcher Award

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Prof. Lei Chen | High pressure flow | Best Researcher Award

Professor, Xi’an Jiaotong University, China

Lei Chen is a prominent professor and doctoral supervisor at Xi’an Jiaotong University in China, specializing in thermal-fluid science and engineering. With a broad expertise in energy technologies, his research is focused on advancing energy efficiency, enhancing heat transfer systems, and integrating AI into energy solutions. He has earned recognition for his significant contributions to energy science, including being a recipient of the Shaanxi Outstanding Youth Fund. As a leader in his field, he is actively involved in various national and provincial projects, serving as the Executive Director of the Thermal Flow Science and Engineering Innovation Practice Studio and the Interdisciplinary Innovation Platform for Energy and Chemical Engineering. He is also a respected member of technical committees, further establishing his role as an influential figure in the energy sector.

Profile

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Education

Professor Lei Chen holds a Ph.D. in Thermal Fluid Science and Engineering from Xi’an Jiaotong University, where he also earned his Master of Science in Mechanical Engineering and his Bachelor of Science in Energy and Power Engineering. His educational background has laid a solid foundation for his extensive research career, allowing him to explore a variety of topics within energy systems, fluid dynamics, and thermal management. Over the years, his commitment to higher education has made him an influential mentor, guiding future researchers in the field.

Experience

With over 20 years of experience in academia and research, Professor Chen has held several key positions, demonstrating both leadership and expertise in energy systems. He is the Executive Director of the Thermal Flow Science and Engineering Innovation Practice Studio and the Interdisciplinary Innovation Platform for Energy and Chemical Engineering, where he oversees multiple research initiatives. Additionally, he serves as the Deputy Director of the Xi’an Key Laboratory of Energy Conservation and Low Carbon Technology for Data Centers. Professor Chen has also contributed to numerous high-impact projects, securing funding from national and provincial sources, and engaging in interdisciplinary research with practical implications for energy conservation, sustainability, and low-carbon technologies.

Research Interests

Professor Lei Chen’s research spans a range of topics related to energy systems, focusing on areas such as heat transfer enhancement, fuel cells, lithium batteries, energy efficiency assessments, and artificial intelligence applications in energy technologies. His work involves advanced numerical simulations to study fluid dynamics and heat transfer in various energy systems. He has also made significant contributions to improving energy storage solutions, such as fuel cells and lithium batteries, and has explored the integration of AI into energy Internet technologies. His multidisciplinary approach aims to improve energy system performance and sustainability in the face of global challenges.

Award

Based on the provided information, Lei Chen seems to be a highly qualified and accomplished individual, making him a strong candidate for the Best Researcher Award.

Publication Top Note

Zhang, J., Shen, J., Fang, J., Wang, C., Che, D., Chen, L., “Study on NOx formation and ash characteristics during co-combustion of semi-coke and biomass under O2/CO2 conditions,” Fuel, 2025.

Wang, Y., Zhang, T., Chen, L., Tao, W., “Multi-objective optimization of laser perforated fuel filter parameters based on artificial neural network and genetic algorithm,” Particuology, 2025.

Zhang, Z., Yao, J., Pan, Y., Chen, L., Xie, T., “Strong metal-support interaction induced excellent performance for photo-thermal catalysis methane dry reforming over Ru-cluster-ceria catalyst,” Nano Energy, 2025.

Wang, Y., Wang, Q., Chen, L., Tao, W., “Numerical investigation of performance and multiparameter prediction model of high-pressure fuel filters and cavitation at filtration orifices considering variable fluid properties,” International Journal of Heat and Mass Transfer, 2024.

Conclusion

Professor Lei Chen is an outstanding scholar in the field of thermal-fluid science and engineering. His innovative research has significantly contributed to advancements in energy systems, heat transfer, and sustainability technologies. With numerous accolades in both teaching and research, he continues to shape the future of energy science through his leadership, academic mentorship, and groundbreaking work. His commitment to improving energy efficiency, reducing carbon emissions, and fostering interdisciplinary research positions him as a key figure in the global effort to address energy challenges.

 

 

Ye Dai | Advanced laser processing | Best Researcher Award

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Prof. Dr. Ye Dai | Advanced laser processing | Best Researcher Award

Professor, Shanghai University, China

Ye Dai is a Professor at the Department of Physics, Shanghai University, with a distinguished career in laser physics and ultrafast laser processing. He is recognized for his pioneering work in ultrafast laser micro/nanofabrication technologies, focusing on the creation of 3D self-organized nanogratings and their applications in various domains. Throughout his career, Dai has led significant research projects, including several funded by the National Natural Science Foundation of China (NSFC), to study ultrafast dynamics in laser-induced microstructures. His research has contributed substantially to advancing laser technology, particularly in the areas of nanofabrication, transparent material processing, and laser-induced phenomena.

Profile

Education

Ye Dai completed his M.Sc. in Physics Electronics & Optoelectronics from Shaanxi University of Science and Technology in 2002. He further pursued his academic journey, earning a Ph.D. in Radio Physics from Shanghai University in 2008. His deep academic background in physics laid the foundation for his future work in ultrafast laser processing and nanotechnology. The combination of his robust educational qualifications and hands-on experience has made him a leading figure in the field of laser physics.

Experience

Dai’s academic and professional career has been marked by significant milestones. From 2008 to 2012, he worked as a Lecturer in the Department of Physics at Shanghai University. During this time, he began to establish himself as a scholar in ultrafast laser research. He advanced to the position of Associate Professor in 2012, where he continued his research and played a key role in developing the university’s laser technology research initiatives. In 2014–2015, he was a Visiting Scholar at the Optoelectronics Research Centre (ORC) at the University of Southampton, further expanding his research network and expertise. Since 2020, Dai has been serving as a Professor at Shanghai University and is currently the Vice Dean of the College of Science.

Research Interests

Ye Dai’s research interests primarily revolve around the development of ultrafast laser processing technologies. He established the Ultrafast Laser Processing Lab at Shanghai University, where he investigates the dynamic processes of laser-induced microstructures in materials, especially glasses. A key focus of his work is understanding the ultrafast dynamics and mechanisms of femtosecond and picosecond laser pulses in creating micro/nanostructures. His group is particularly interested in 3D self-organized nanograting formation and its diverse applications. Dai’s work aims to push the boundaries of material science and laser technology to create more efficient and precise fabrication techniques.

Award

Ye Dai appears to be a highly suitable candidate for the Research for Best Researcher Award. His significant contributions to the field of ultrafast laser processing and nanofabrication are reflected through his various prestigious roles and academic qualifications, including his position as a Professor at Shanghai University and his leadership in establishing an ultrafast laser processing lab

Publication Top Note

Zihuai Su, Bingbin Liu, Yulu Zhang, Juan Song, Bin Qian, Wei Liu, Shengzhi Sun, Jianrong Qiu, Ye Dai, Precision processing of Nb-Si alloy via water-jet guided laser: Realization of inhibited-oxidation and small-taper, Optics & Laser Technology, 187, 112853 (2025).

Heng Yao, Diego Pugliese, Matthieu Lancry, and Ye Dai, Ultrafast Laser Direct Writing Nanogratings and their Engineering in Transparent Materials, Laser & Photonics Reviews, 18(9), 2300891 (2024).

Heng Yao, Qiong Xie, Maxime Cavillon, Ye Dai, Matthieu Lancry, Materials roadmap for inscription of nanogratings inside transparent dielectrics using ultrafast lasers, Progress in Materials Science, 142, 101226 (2024).

Juan Song, Hongjian Wang, Xinxiang Huang, Weiyi Yin, Qian Yao, Ye Dai, In-situ study of laser-induced novel ripples formation on SiC surface by an oblique-illumination high-resolution imaging setup, Optics & Laser Technology, 169, 110095 (2024).

Qian Yao, Juan Song, Weiyi Yin, Huaiqiang Shi, Heng Yao, Zihuai Su, and Ye Dai, Optimization of fs + ps double-pulse sequence parameters for laser-assisted chemical etching of microchannels in fused silica, Journal of Physics D: Applied Physics, 56, 265101 (2023).

Ying Sun, Weiyi Yin, Qian Yao, Xiangyu Ren, Juan Song, Ye Dai, Temporal modulation towards femtosecond laser-induced nonlinear ionization process, Optics Letters, 47(23), 6045-6048 (2022).

Wencheng Zhang, Qinxiao Zhai, Juan Song, Kongyu Lou, Yuedong Li, Zhongmin Ou, Quanzhong Zhao, Ye Dai, Manipulation of self-organized nanograting for erasing and rewriting by ultrashort double-pulse sequences irradiation in fused silica, Journal of Physics D, 53, 165106 (2020).

Conclusion

Ye Dai’s career has been marked by his commitment to advancing ultrafast laser technology and its applications in material processing. As a professor and researcher, he continues to push the boundaries of science with his innovative work in laser fabrication. His significant contributions have not only elevated his profile within the academic community but have also provided critical insights into laser-induced microstructural changes in materials. Through his research, Dai has cemented his position as a leader in the field, making lasting impacts on both academic research and practical applications in ultrafast laser processing.

Wenliang Wu | Food Chemistry | Best Researcher Award

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Dr. Wenliang Wu | Food Chemistry | Best Researcher Award

Lecturer | Northwest A&F University | China

Wenliang Wu is a Lecturer at the College of Information Engineering, Northwest A&F University, China. With an academic background in Computer Science and Technology, Wu completed a Ph.D. from Northwestern Polytechnical University in 2022. His research interests primarily focus on unmanned swarm systems, collective intelligence, and evaluation methods for autonomous systems. Wu’s academic journey includes a Master’s degree from Inner Mongolia University and a Bachelor’s degree from Inner Mongolia University of Technology. His current role involves both teaching and leading research in the area of intelligent evaluation of unmanned systems.

Profile

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Education

Wenliang Wu’s educational trajectory is rooted in Computer Science and Technology. He began his academic pursuit at Inner Mongolia University of Technology, where he earned his Bachelor’s degree in 2014. Continuing his studies, Wu obtained a Master’s degree in the same field from Inner Mongolia University in 2017. His dedication to the field culminated in a Ph.D. from Northwestern Polytechnical University, which he completed in December 2022. During his Ph.D., Wu specialized in the development of intelligent evaluation models for unmanned swarm systems.

Experience

Dr. Wu’s academic career has progressed steadily, marked by significant research contributions. Since February 2023, he has been a Lecturer at the College of Information Engineering, Northwest A&F University. His primary responsibilities include conducting cutting-edge research on unmanned systems and delivering lectures on related topics. Wu’s research in this field is aimed at improving the intelligence and operational efficiency of autonomous systems, particularly in unmanned swarm technologies. His academic experience is complemented by his leadership role in several research projects, where he has pioneered work on swarm system evaluations and intelligence assessment methodologies.

Research Interests

Dr. Wu’s research interests lie at the intersection of artificial intelligence, autonomous systems, and swarm intelligence. Specifically, he focuses on the development of comprehensive evaluation systems for unmanned swarm intelligence. Wu’s work is largely concerned with methods to assess the collective intelligence of unmanned systems, a crucial element for their successful operation in complex environments. He has been involved in creating models based on the OODA (Observe, Orient, Decide, Act) loop, group extension cloud models, and CRITIC-based evaluation methods. His goal is to develop robust systems that allow for more accurate and reliable performance evaluations for unmanned swarm systems.

Award

Though Wu has not yet received formal academic awards, his work has significantly contributed to the field of unmanned swarm intelligence. His publications in top-tier journals, such as Connection Science and Automation Acta, highlight the recognition of his research within the academic community. Furthermore, his leadership in research projects, including those at the doctoral research stage, demonstrates his growing influence in the field of intelligent systems and swarm technologies.

Publication Top Note

Wu, W., Zhou, X., & Shen, B. (2022). Comprehensive evaluation of the intelligence levels for unmanned swarms based on the collective OODA loop and group extension cloud model. Connection Science, 34(1), 630-651. (Cited by 15 articles).

Shen, B., Wu, W., Yang, G., & Zhou, X. (2023). Intelligent evaluation model and method for unmanned swarm systems based on group OODA. Acta Aeronautica et Astronautica Sinica, 44(14), 328003-1-328003-15. (Cited by 10 articles).

Wu, W., Zhou, X., Shen, B., & Zhao, Y. (2022). Review of evaluation research for swarm robot systems. Acta Automatica Sinica, 48(5), 1153-1172. (Cited by 20 articles).

Wu, W., Wang, C., Tuo, M., & Zhou, X. (2022). An accurate and robust comparison method of intelligence for unmanned swarms based on improved CRITIC and hypothesis test. Proceedings of the 2022 International Conference on Autonomous Unmanned Systems, Xi’an, China. (Cited by 7 articles).

Wu, W., & Zhou, X. (2020). An intelligent evaluation method for the application scenario complexity level of unmanned swarms. Proceedings of the 19th International Conference on Ubiquitous Computing and Communication, Exeter, UK. (Cited by 5 articles).

Conclusion

Dr. Wenliang Wu has made remarkable strides in the field of unmanned swarm systems, with a particular focus on the evaluation and improvement of their intelligence. With a solid educational background and a growing body of influential work, he is emerging as a key figure in the realm of autonomous systems. His research, especially his work on intelligent evaluation models, contributes to the development of smarter and more reliable unmanned technologies. As he continues to push the boundaries of swarm intelligence and autonomous system evaluations, Wu’s work holds the promise of transforming how unmanned systems are deployed and assessed in real-world scenarios.

Yamina Mebdoua Lahmar | Materials sciences | Women Researcher Award

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Dr. Yamina Mebdoua Lahmar | Materials sciences | Women Researcher Award

Research Director | Advanced Technology Development Center | Algeria

Yamina Mebdoua-Lahmar is a prominent researcher and academic in the field of materials science and surface treatment, with a focus on thermal spraying techniques. Currently serving as the Director of Research at the Centre de Développement des Technologies Avancées (CDTA) in Algeria, she has made significant contributions to the development of advanced coatings and surface treatments. Her academic journey spans several decades, during which she has attained advanced degrees and built a distinguished career. Her research interests and leadership have positioned her as an expert in the areas of materials characterization, surface engineering, and applied physics.

Profile

Education

Dr. Mebdoua-Lahmar holds a comprehensive academic background. She obtained her Doctorate in Ceramic Materials and Surface Treatment from the University of Limoges, France, in 2008. Before this, she earned a Magister in Physics, specializing in Astrophysics, from the University of Blida in 1998. Her advanced studies culminated in an Habilitation in Physics from the University of Blida in 2014. Additionally, Dr. Mebdoua-Lahmar completed a Diplôme d’Etudes Supérieures in Physics at the University of Algiers in 1992. She also holds a Baccalaureate in Mathematics from 1987.

Experience

Dr. Mebdoua-Lahmar has an extensive career at CDTA, spanning over two decades. She started as a Research Attaché in 1998 and progressed through the ranks, becoming a Research Director in 2016. Over the years, she has held leadership roles, such as the Director of the “Ionized Media and Laser” Research Division (2012-2015) and Head of the Thermal Spray Team (2013-2020). She currently leads the Thermal Spray Technology Platform at CDTA, overseeing several research projects. Her involvement in numerous projects includes developing coatings resistant to wear and erosion, thermal barrier coatings, and cold spray deposition techniques. Dr. Mebdoua-Lahmar also served as an elected member of the CDTA Scientific Council from 2019 to 2023 and as its President in 2022-2023.

Research Interests

Dr. Mebdoua-Lahmar’s primary research interests lie in surface engineering, specifically the use of thermal spray processes to create protective coatings. Her work covers various applications, from wear-resistant coatings for industrial use to thermal barrier coatings and modeling of deposition processes such as cold spray. Additionally, she has explored the use of advanced materials for corrosion protection and the integration of energetic devices on nonconductive substrates. Her research also extends to numerical studies and modeling of heat transfer during coating formation, as well as the mechanical and electrochemical properties of thermally sprayed materials.

Award

Dr. Yamina Mebdoua-Lahmar, it seems that she is indeed a highly qualified and suitable candidate for the Best Researcher Award. Below is a structured analysis:

Publication Top Note

Rabah Azzoug, Yamina Mebdoua, Fatah Hellal, “Microstructural, Mechanical and Electrochemical Characterization of a Flame Sprayed NiFeCrBSi/WC Cermet Coating,” 21-25, 2022.

R. Azzoug, Y. Mebdoua, F. Hellal, F. Marra, “Analysis of Microstructure, Mechanical Indentation and Corrosive Behavior of a Thermally Sprayed NiFeCrBSi-WC Composite Coating,” Journal of Alloys and Compounds, December 2021, DOI:10.1016/j.jallcom.2021.163505.

O. Sifi, M. Djeghlal, Y. Mebdoua, S. Djeraf, F Hadj-Larbi, “The effect of the solution and aging treatments on the microstructures and microhardness of nickel-based superalloy,” Applied Physics A, 2020, DOI:10.1007/s00339-020-03517-2.

Y. Mebdoua, Y. Fizi, N. Bouhelal, “Cold sprayed copper coating: numerical study of particle impact and coating characterization,” Eur. Phys. J. Appl. Phys., 2016, 74, 24608. DOI:10.1051/epjap/2015150316.

Y. Mebdoua, A. Vardelle, P. Fauchais, “Heat Diffusion in Solidifying Alumina Splat Deposited on Solid Substrate under Plasma sprayed Conditions: Application to Coating Formation,” Defect and Diffusion Forum, 2010.

Y. Mebdoua, A. Vardelle, P. Fauchais, “Numerical Study of Alumina Nucleation Deposited on Steel Substrate under Plasma Spray Conditions,” International Journal of Thermal Sciences, 2010.

S. Djerourou, H. Lahmar, N. Bouhellal, Y. Mebdoua, “Study of Twin Wire Arc Sprayed Zinc/Aluminum Coating on Low carbon Steel Substrate: Application to Corrosion Protection,” Advanced Materials Research, 2013, Vol 685.

Conclusion

Dr. Yamina Mebdoua-Lahmar’s career is marked by significant contributions to the field of materials science, particularly in the area of surface treatments and thermal spraying. Through her leadership at the CDTA, she has advanced numerous groundbreaking projects and contributed to the development of innovative materials with industrial applications. Her academic and professional achievements have established her as a leading expert in the field. Through continuous research, teaching, and active participation in scientific conferences, Dr. Mebdoua-Lahmar remains a pivotal figure in the ongoing evolution of surface treatment technologies and material sciences.

Ramachandran | Machine Learning | Best Researcher Award

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Dr. Ramachandran | Machine Learning | Best Researcher Award

Assistant Professor | Parul institute of Engineering and technology-MCA | India

Dr. Ramachandran P is an esteemed Assistant Professor in the Department of Computer Science at Parul University, Vadodara, Gujarat, with over 11 years of experience in teaching and research. With a robust academic background, he holds a Ph.D. in Computer Science, along with an M.Sc. in Information Technology, an M.Phil. in Computer Science, and a B.Ed. in Computer Science. His passion for technology and innovation has led him to focus on areas such as machine learning, AI, cybersecurity, and software development. He has contributed significantly to the academic community, holding membership in the International Association of Engineers (IAENG) and the Computer Society of India (CSI). His technical expertise spans AWS, Microsoft certifications, Python, MATLAB, and various other cutting-edge technologies.

Profile

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Education

Dr. Ramachandran P’s academic journey reflects his dedication to advancing knowledge in the field of computer science. He completed his Ph.D. in Computer Science and holds multiple degrees, including an M.Sc. in Information Technology, M.Phil. in Computer Science, and B.Ed. in Computer Science. His foundational education began at institutions like Bharathiar University, Periyar University, and Tamilnadu Teacher Education University, shaping his academic trajectory. Throughout his career, Dr. Ramachandran has remained committed to continuous learning, always staying at the forefront of emerging technological trends and tools.

Experience

Dr. Ramachandran has held various academic roles over the years, with his most recent position as Assistant Professor at Parul Institute of Engineering and Technology, Parul University. His professional experience spans teaching, research, and development, including his previous roles at institutions such as KG College of Arts and Science and J.J College of Arts and Science. He has consistently demonstrated leadership in guiding students and colleagues, helping them develop essential technical and research skills. With a strong focus on delivering high-quality education, Dr. Ramachandran has worked with diverse technological platforms, contributing to the growth and development of the institutions where he has taught.

Research Interests

Dr. Ramachandran’s research interests lie primarily in the domains of machine learning, artificial intelligence (AI), cloud computing, and data mining. He has contributed to research on network security, cyber threats, IoT-based solutions, and deep learning techniques for predictive models. His innovative work often involves developing hybrid frameworks to address complex challenges in fields such as health diagnostics, cybersecurity, and real-time data analysis. His published papers and ongoing research focus on enhancing the accuracy and efficiency of machine learning models and exploring new techniques in AI to drive technological advancements.

Award

Dr. Ramachandran has earned recognition for his outstanding contributions to research and education. His work has led to multiple award nominations, including recognition for his work in machine learning and its applications in healthcare. His dedication to research and development in AI and cybersecurity continues to attract attention, and he is nominated for several prestigious awards, including the “Best Researcher Award” at the Cryogenicist Global Awards. His accolades reflect his commitment to advancing knowledge and fostering innovation within the academic and professional communities.

Publication Top Note

“Proactive Detection of Malicious Webpages Using Hybrid Natural Language Processing and Ensemble Learning Techniques”
Journal of Information and Organizational Sciences (2024)

“Proactive Detection of Malicious Webpages Using Hybrid Natural Language Processing and Ensemble Learning Techniques”
Journal of Information and Organizational Sciences (2024-12-18)

“Enhanced Cryptographic Performance and Security Using Optimized Edward-ElGamal Signature Scheme for IoT and Blockchain Applications” International Journal on Smart Sensing and Intelligent Systems (2024-11-10)

“Deep Learning-Based Detection of IoT Botnet Attacks: An Exploration of Residual Networks” International Journal of Safety and Security Engineering (2023)

Conclusion

Dr. Ramachandran P’s contributions to the academic and research fields have been both substantial and impactful. With a diverse range of skills in machine learning, AI, and cybersecurity, he continues to inspire the next generation of technology professionals. His work in enhancing machine learning models and his dedication to improving real-world applications in fields like healthcare and cybersecurity underscore his commitment to innovation. As an educator and researcher, Dr. Ramachandran’s contributions serve as a model for future advancements in technology. His work in AI, particularly in the development of hybrid frameworks and models for improved diagnostic accuracy, showcases his ability to make meaningful changes in both academic and applied research domains. Through his publications, awards, and ongoing efforts in research, Dr. Ramachandran remains a key

Donghui Zheng | Nanoporous Metals | Best Researcher Award

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Assist. Prof. Dr. Donghui Zheng | Nanoporous Metals | Best Researcher Award

Lecturer | Huanghuai University | China

Donghui Zheng, Ph.D., is an Assistant Professor in the School of Intelligent Manufacturing at Huanghuai University, Zhumadian, China, specializing in materials science and engineering. After completing his undergraduate studies in material forming and control engineering at Tianjin University of Science and Technology, he pursued a doctoral degree at Hebei University of Technology, where he earned his Ph.D. in 2022. His academic journey has been marked by strong achievements, including receiving multiple first-class scholarships and being named an excellent doctoral graduate in 2022. Currently, he is focused on advancing research in the field of nanoporous metals, using amorphous alloys as dealloying precursors, with applications in energy storage and conversion.

Profile

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Education

Donghui Zheng’s educational background is rooted in materials science and engineering. He began his academic career at Tianjin University of Science and Technology, where he earned his Bachelor’s degree in Material Forming and Control Engineering in 2016. Motivated by a keen interest in materials innovation, he pursued a doctoral degree at Hebei University of Technology, Tianjin, from 2017 to 2022, under the guidance of Professor Chunling Qin. Zheng’s doctoral research focused on developing advanced electrode materials for energy storage applications, contributing significantly to the field of material sciences. His rigorous academic training and research experience have provided him with a strong foundation for his current role as an assistant professor.

Experience

Dr. Zheng currently serves as an Assistant Professor in the School of Intelligent Manufacturing at Huanghuai University. He began his academic career at Huanghuai University in 2022, where he teaches materials-related courses to undergraduate students. In addition to his teaching role, he is actively involved in research, particularly in the area of nanoporous materials for energy storage and conversion. Dr. Zheng has gained extensive experience in conducting and leading research projects, and his involvement in various scientific and technological projects under the Education Department of Hebei and Henan provinces demonstrates his growing influence in the field.

Research Interest

Dr. Zheng’s primary research interest lies in the development of nanoporous metals, specifically using amorphous alloys as dealloying precursors. His work is centered on expanding the applications of these materials in energy storage devices, such as supercapacitors, and in energy conversion technologies. His studies aim to improve the performance and efficiency of energy storage systems by designing novel electrode materials that enhance both conductivity and stability. His interdisciplinary research also explores the fabrication of flexible and wearable devices, bridging the fields of material science, energy, and technology innovation.

Awards

Dr. Zheng has been recognized for his exceptional academic and research achievements throughout his career. He was awarded the Best Researcher Award for his groundbreaking contributions to materials science, particularly in the development of advanced electrode materials for energy storage. These accolades underscore his dedication and expertise in the field.

Publications

Zheng D.H., Sun X.H., An C.H., et al. “Flexible multi-layered porous CuxO/NiO (x = 1, 2) photo-assisted electrodes for hybrid supercapacitors: Design and mechanism insight.” Chemical Engineering Journal, 2023, 473: 145289.

Qin C.L., Zheng D.H., Hu Q.F., et al. “Flexible integrated metallic glass-based sandwich electrodes for high-performance wearable all-solid-state supercapacitors.” Applied Materials Today, 2020, 19: 100539. (Co-First Author)

Zheng D.H., Zhao F., Li Y.Y., et al. “Flexible NiO micro-rods/nanoporous Ni/metallic glass electrode with sandwich structure for high performance supercapacitors.” Electrochimica Acta, 2019, 297: 767-777.

Zheng D.H., Li M., Li Y.Y., et al. “A Ni(OH)2 nanopetals network for high-performance supercapacitors synthesized by immersing Ni nanofoam in water.” Beilstein Journal of Nanotechnology, 2019, 10: 281-293.

Zhao F., Zheng D.H., Liu Y., et al. “Flexible Co(OH)2/NiOxHy@Ni hybrid electrodes for high energy density supercapacitors.” Chemical Engineering Journal, 2021, 415: 128871. (Co-First Author)

Sun X.H., Zheng D.H., Pan F.D., et al. “3D nanoporous Ni@NiO/metallic glass sandwich electrodes without corrosion cracks for flexible supercapacitor application.” Applied Surface Science, 2021, 545: 149043. (Co-First Author)

Zhang Y., Zheng D.H., Liu S.M., et al. “Flexible porous Ni(OH)2 nanopetals sandwiches for wearable non-enzyme glucose sensors.” Applied Surface Science, 2021, 552: 149529. (Co-First Author)

Conclusion

Dr. Donghui Zheng’s academic and professional journey reflects a strong commitment to advancing materials science, particularly in the development of high-performance electrode materials for energy storage applications. His expertise in nanoporous metals and energy conversion technologies has garnered attention in the academic community, as evidenced by his numerous publications in leading journals. With a growing list of accolades, including multiple scholarships and recognition as an Excellent Doctoral Graduate, Dr. Zheng’s contributions to his field continue to make an impact. His ongoing research projects and leadership in scientific endeavors are poised to drive innovation in materials science and energy technologies.

Hossein Ali Kamali | Machin Learning | Best Researcher Award

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Dr. Hossein Ali Kamali | Machin Learning | Best Researcher Award

Student | Ferdowsi university of mashhad | Iran

The individual in focus is a highly skilled researcher and engineer specializing in Aerospace Engineering, particularly in aerodynamics. With a Ph.D. in Aerospace Engineering from Ferdowsi University of Mashhad (2024), their work is heavily focused on experimental and numerical analyses, along with the integration of machine learning methods to enhance aerodynamics and fluid dynamics research. Their academic journey started with a Master of Science degree in Aerospace Engineering (Aerodynamics) from the same university in 2016. Over the years, they have developed a solid foundation in simulating complex fluid dynamics phenomena and optimizing various aerodynamic systems, particularly in cavitation and ventilation effects. Their strong analytical and computational skills are complemented by a keen interest in experimental methods and machine learning integration for better predictions in aerodynamics.

Profile

Education

The individual earned their Ph.D. in Aerospace Engineering, specializing in Aerodynamics, from Ferdowsi University of Mashhad in 2024. The doctoral research focused on experimental and numerical investigations, specifically examining the effects of cavitator angle and aft body geometry on stable artificial cavity characteristics. The study further delved into using machine learning techniques to extend the research findings. Prior to this, they obtained a Master of Science degree in Aerospace Engineering (Aerodynamics) in 2016, also from Ferdowsi University of Mashhad. The thesis explored the simulation and study of water-liquid injection into hot supersonic flows, contributing to the advancement of supersonic aerodynamics.

Experience

Throughout their academic career, the individual has accumulated a wealth of experience in both experimental and computational aerodynamics. They have worked extensively with state-of-the-art simulation tools such as Ansys Fluent, Ansys CFX, Starccm+, Python, and SU2. Their hands-on approach to research, paired with solid computational techniques, has enabled them to develop robust models and simulations. The individual has also applied their skills in various research environments, collaborating with experts to produce valuable insights into cavitation, supercavitation, and related fluid phenomena. Their experience includes working on several high-level projects involving the optimization of random forest models, particle swarm techniques, and machine learning approaches to predict and analyze complex fluid behaviors.

Research Interests

The individual’s primary research interests lie in optimization, machine learning, computational fluid dynamics (CFD), multiphase flow, and heat transfer. Their work aims to bridge the gap between theoretical fluid dynamics and practical applications, using machine learning and advanced computational methods to predict and optimize aerodynamic and hydrodynamic systems. Specifically, they are interested in enhancing the understanding of artificial cavitation phenomena, investigating critical parameters influencing flow behaviors, and improving system efficiency through optimized designs. Their research integrates both experimental techniques and computational simulations to achieve more accurate and reliable results in fluid dynamics.

Award

Based on the provided details, the individual seems highly qualified and well-suited for the Best Researcher Award. Their outstanding contributions to aerospace engineering, particularly in optimizing cavitation and supercavitation phenomena, as well as their pioneering use of machine learning methods to solve complex fluid dynamics problems, make them a deserving candidate for this prestigious recognition.

Publications Top Note

“Experimental and numerical analysis of cavitator angle effects on artificial cavitation characteristics under low ventilation coefficients, with prediction using optimized random forest and extreme gradient boosting models,” Ocean Engineering, 2024.

“Analyzing the influence of dimensions of the body behind the cavitator on ventilated cavitation,” Physics of Fluids, 2024.

“Investigating the interaction parameters on ventilation supercavitation phenomena: Experimental and numerical analysis with machine learning interpretation,” Physics of Fluids, 2023.

“Investigation of the Behavior and Critical Parameters of the Hysteresis Curve in Artificial Cavitation Flows using Experiments, Simulations, and Machine Learning,” Experimental and Computational Multiphase Flow, 2023 (Accepted).

“Water jet angle prediction in supersonic crossflows: Euler–Lagrange and machine learning approaches,” European Physical Journal Plus, 2024.

“Effect of the arrangement of the injectors on the flow quantities in water injection into the hot supersonic crossflow inside the cylinder,” International Journal of Modern Physics C, 2024.

“The experimental and numerical study of formation and collapse processes of ventilated supercavitating flow,” International Journal of Modern Physics C, 2024.

Conclusion

In conclusion, the individual has demonstrated remarkable skill in aerospace engineering, with a deep understanding of aerodynamics, fluid dynamics, and machine learning. Their extensive experience, coupled with an impressive publication record, underscores their position as an emerging leader in the field. Their contributions to the understanding of cavitation, supercavitation, and related phenomena have significant implications for improving fluid dynamics predictions and enhancing aerodynamic efficiency. With a strong background in both experimental methods and computational modeling, they continue to advance the frontiers of aerospace engineering research. The individual is poised to continue making substantial contributions to the field in the coming years.

Juanrong Zheng | Building Material | Best Researcher Award

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Prof. Juanrong Zheng | Building Material | Best Researcher Award

Professor, School of Civil Engineering, Zhengzhou University, China

Zheng Juanrong is a distinguished Professor at the School of Civil Engineering at Zhengzhou University with expertise in building materials, particularly focusing on green cement-based materials. She earned her PhD in Building Materials from the China University of Mining and Technology, Beijing Campus, and has made significant contributions to structural engineering. With extensive academic and professional experience, Zheng has been at the forefront of advancing eco-friendly and sustainable construction materials. She is an active member of the Board of Directors for multiple professional organizations, including the China Higher Education Inorganic Materials Discipline Building Materials Society.

Profile

Scopus

Education

Zheng Juanrong completed her undergraduate studies in Mining at China University of Mining and Technology and continued her academic journey to obtain a PhD in Building Materials in 2001. During her doctoral research, she delved into material science, with a particular focus on cement and building materials, which formed the foundation of her career in research and teaching. She later expanded her academic exposure through postdoctoral research at Tsinghua University’s School of Civil and Environmental Engineering from 2001 to 2003.

Experience

Zheng’s professional career spans both academia and industry. After completing her postdoctoral research, she worked at Beijing Blueprint Construction Co., Ltd., gaining hands-on industry experience. In 2004, she began her tenure at Zhengzhou University, where she currently teaches and conducts research. As a Professor, Zheng has supervised numerous master’s and doctoral students, shaping future leaders in civil engineering. Her research focuses on innovative and sustainable construction materials, aiming to reduce environmental impacts and improve the performance of materials used in construction.

Research Interests

Zheng Juanrong’s primary research interests lie in green cement-based building materials and their applications in structural engineering. She has explored the durability, performance, and environmental benefits of alternative binders and cementitious materials. Her projects investigate the use of mine tailings, fly ash, and other industrial by-products in cement production, focusing on enhancing the sustainability of construction materials. Notable projects include her work on cemented paste backfill from sulphide-rich mine tailings and the development of high-performance construction materials like plaster mortars and subway concrete segments.

Award

Zheng Juanrong has been recognized for her academic excellence and contributions to civil engineering. In 2012, she received the Outstanding Instructor Award at the “Subote” Cup Second National College Student Concrete Material Design Competition. Additionally, she earned the first prize for her research on inverted roof composite insulation boards and their production technologies from the Henan Provincial Department of Science and Technology in 2012. Her innovative work continues to receive acclaim within both academic and industrial communities.

Publication Top Note

“Factors affecting the durability of building plaster mortar and improvement measures,” Concrete, 2013.

“Experimental study on the effect of limestone powder on the performance of self-leveling cement-based floor mortar,” Concrete, 2013.

“Effect of retarder on setting time of high-speed rail rapid grouting materials,” New Building Materials, 2013.

“Mix design and performance study of high performance subway concrete segments,” Concrete and Cement Products, 2013.

“Experimental study on the preparation of C50 pumpable concrete using mine tailings and waste rock,” Concrete, 2013.

“Study on the performance of bonding mortar in external wall insulation system of polymer powder modified XPS board,” Journal of Zhengzhou University (Engineering Edition), 2012.

“Discussion on the mechanism of alkali-activated cementitious materials against sulfate attack,” Journal of Zhengzhou University (Engineering Edition), 2012.

 

 

Vasilica Istrate | Weather Modification | Best Researcher Award

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Mr. Vasilica Istrate | Weather Modification | Best Researcher Award

Researcher | Active Interventions in the Atmosphere SA | Romania

Dr. Istrate Vasilică is a dedicated meteorologist and geographer, currently serving as the Active Atmospheric Interventions Coordinator and Programme Manager at Intervenții Active în Atmosfera SA in Bucharest, Romania. He is also an Assistant Professor at Alexandru Ioan Cuza University in Iași, where he contributes to the Faculty of Geography and Geology. Specializing in meteorology, climatology, and physical geography, Dr. Istrate’s work focuses on weather modification activities such as hail suppression and rain enhancement, aiming to reduce the impacts of adverse weather conditions on agriculture and the environment. His academic and professional efforts have significantly impacted the study and management of severe weather phenomena in Romania.

Profile

Orcid

Education

Dr. Istrate holds a PhD in Geography from Alexandru Ioan Cuza University of Iași, where his dissertation focused on the characteristics of hail genesis, prediction, and risk in agricultural areas in Moldova. He completed his Master’s degree in Natural Risk Assessment from the same university in 2011, having previously obtained his Bachelor’s degree in Geography with a focus on Physical Geography in 2009. Additionally, he has pursued various technical qualifications, including training as a pyrotechnician and artificer for surface works, further broadening his skill set in meteorology and related fields.

Experience

Dr. Istrate’s professional journey spans both academic and applied meteorology. He has been with Intervenții Active în Atmosfera SA since 2012, where he oversees weather condition monitoring and the management of a Hail Suppression Unit. His role involves coordinating weather modification programs, focusing on minimizing the risks associated with severe weather events, particularly hailstorms. In parallel, Dr. Istrate contributes to academia, having served as an Assistant Professor at Alexandru Ioan Cuza University since 2014, teaching meteorology, climatology, and physical geography, while also guiding students in their research. His comprehensive experience in both the practical and theoretical aspects of meteorology has positioned him as a leading expert in weather modification techniques in Romania.

Research Interests

Dr. Istrate’s research interests revolve around severe weather phenomena, particularly hail formation, prediction, and suppression. His work also delves into climate risk assessment, with a specific focus on the impacts of extreme weather on agricultural productivity in Moldova. Through his research, he aims to enhance the understanding of hailstorms and improve predictive models, which is critical for agricultural planning and disaster risk management. Additionally, he is interested in environmental change, particularly regarding the implications of hail suppression systems and their effects on land cover and regional climate.

Award

Based on the provided information about Istrate Vasilică, I believe that he is highly suitable for the “Best Researcher Award” in the field of meteorology and weather modification, particularly in areas related to hail suppression, rain enhancement, and atmospheric interventions.

Publication Top Note

Istrate V., George-Adriab, Istrate V., Ursu A., Ichim P., Breabăn I. (2023). Using Diachronic Cartography and GIS to Map Forest Landscape Changes in the Putna-Vrancea Natural Park, Land, 12(9): 1774.

Sfîcă L., Istrate V., Hrițac R., Machidon O. (2023). The Continental and Regional Synoptic Background Favorable for Hailstorm Occurrence in North-Eastern Romania, Progress in Physical Geography: Earth and Environment, 47(1), 3-31.

Istrate V., Dobri R.V., Bărcăcianu F., Ciobanu R.A., Apostol L. (2021). Sounding-Derived Parameters Associated with Severe Hail Events in Romania, Időjárás, 125(1), 39-52.

Istrate V., Jitariu V., Ichim P., Machidon O.M., Apostol L. (2021). Hailstorm Risk Assessment for Crop Areas in Moldova Region (Romania), Present Environment and Sustainable Development, 15(2), 55-67.

Istrate V., Axinte A.D., Florea D., Barcacianu F., Apostol L. (2019). Characteristics and Impacts of the Severe Hailstorms on 18 June 2016 in Northern Moldavia, Romania, SGEM 2019 Conference Proceedings, 19, 899-906.

Istrate V., Ursu A., Dobri R.V., Axinte A.D., Stoica D. (2019). Hail Suppression System in Romania and Its Relation with Land Cover, SGEM 2019 Conference Proceedings, 19, 871-878.

Istrate V., Mihu-Pintilie A., Lupașcu A., Irka H., Teleagă E. (2018). Paleoenvironment Data and Vegetation History from a Small Mesotrophic Site in the Curvature Subcarpathians, Geobalcanica 2018, Vol. 4, 79-86.

Conclusion

Dr. Istrate Vasilică is a prominent figure in the field of meteorology, particularly known for his contributions to hail suppression and weather modification in Romania. His academic achievements and extensive professional experience enable him to bridge the gap between theory and practice in meteorology. Through his work in both research and weather intervention programs, Dr. Istrate has not only advanced scientific understanding but also contributed significantly to environmental risk mitigation strategies in agriculture. With his continued dedication, Dr. Istrate’s contributions will undoubtedly play a pivotal role in shaping future meteorological practices and policies in Romania and beyond.