Manuel S. Alvarez Alvarado – Syber Physical Power Systems – Best Researcher Award

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Manuel S. Alvarez Alvarado – Syber Physical Power Systems – Best Researcher Award

Dr. Manuel S. Alvarez Alvarado distinguished academic and researcher in the field  Syber Physical Power Systems. From 2023 onwards, he has been actively engaged in academia, serving as the International Accreditation Coordinator for the Electricity degree program at ESPOL (Escuela Superior Politécnica del Litoral). In addition to his academic role, he holds the position of Vice-President at Rodsolar Technologies since 2020, contributing to the industry sector. Furthermore, he continues to be an integral part of academia and research as an Associate Professor at the Faculty of Electrical and Computer Engineering (FIEC-ESPOL) at ESPOL, a position he has held since 2020. In his ongoing commitment to academic research, he serves as a reviewer for prestigious journals including the IEEE Transactions on Power Systems and the IET Generation, Transmission, and Distribution. Moreover, he has taken on editorial responsibilities as the Editor of the Special Issue titled “Sustainability of Future Power Systems: Climate Change Impacts, System Reliability, Renewable Energy Technologies, and Grid Integration,” reflecting his expertise in the field. During the period of 2018-2019, he contributed to research by co-supervising master’s theses at the University of Birmingham. Prior to these roles, from 2016 to 2017, he served as an Assistant Professor at the Faculty of Natural Sciences and Mathematics (FCNM-ESPOL) at ESPOL.

 

🌐 Professional Profiles

Educations📚📚📚

 He received the degree in electrical power engineering in 2011 and the masters degree in physics education (rank 1) in 2013, both awarded by the Escuela Superior Politecnica del Litoral, Guayaquil and the M.Sc. degree in power and energy systems (rank 1) in 2015 from the New Jersey Institute of Technology, Newark, NJ, USA. In 2019, he awarded the Ph.D. degree in educational physics given by the National Polytechnic Institute of Mexico. In 2020, he received his second Ph.D. degree in power systems with the University of Birmingham, Birmingham, UK. His research areas include educational physics, quantum mechanics, renewable energy, electrical trains, smart grids, and power systems reliability.
🏆🏆Awards 🏆🏆

He has garnered numerous accolades and recognitions throughout his academic and research career. In 2023, he was honored as the Best Researcher in Electrical and Electronic Engineering at the ESPOL major quartiles event, highlighting his outstanding contributions to the field. His excellence in research was further acknowledged in 2019 when he received the Best Paper Award at the 3rd Annual School of Engineering PGR Symposium in Birmingham, UK. Additionally, he was recognized as a Top Peer Reviewer in 2019 both in Cross-field and in Engineering categories by the Web of Science Group, Publons.

In preceding years, his contributions were similarly esteemed, with notable awards including the Best Paper Award at the PES conference session during the Third Ecuadorian Technical Chapters Meeting in Cuenca, Ecuador, in 2018. He was also honored with the Premio Roy Billinton Student Paper Gold Award at the Conference on Probabilistic Methods Applied to Power Systems in Idaho, USA, in 2018.

His achievements extend internationally, as evidenced by the Best Paper Award at the 4th International Conference on Sustainable Energy Technologies in Hanoi, Vietnam, in 2016. Furthermore, his academic pursuits have been supported by prestigious scholarships, including the Ph.D. program Walter Raffo Valdano scholarship at ESPOL and the Senescyt scholarship for the Ph.D. program.

Moreover, he demonstrated excellence in academic programs, receiving the distinction of Best Graduate in the Master in Power and Energy Systems at the New Jersey Institute of Technology (NJIT), USA, in 2016. Earlier, in 2013, he was recognized as the Best Graduate in the Master’s Degree in Teaching Physics at ESPOL, Guayaquil-Ecuador. His academic journey was initiated with the support of the 2012 Senescyt scholarship for the Master’s program.

📝🔬Publications📝🔬

Constance Bordet – Big data – Emerging Talent Award

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Dr. Constance  Bordet distinguished academic and researcher in the Big data. she worked as a Professor Assistant in Pharmacology at Paris Saclay University, affiliated with Kremlin-Bicetre Hospital and Rives de Seine Hospital. Under the supervision of Professor Lamiae Grimaldi, her responsibilities included providing methodological support for research teams at the hospitals, particularly in clinical pharmacy and oncology. Additionally, she conducted research on drug treatments for multiple sclerosis patients using health insurance databases, alongside teaching activities.

🌐 Professional Profiles

Educations📚📚📚

She earned her Pharmacy diploma from the University of Toulouse between 2013 and 2023. In 2019-2020, she pursued a Pharmacovigilance Pharmacoepidemiology University Diploma at the University of Bordeaux. Following this, she completed a Master 1 in Research Biology and Health with a focus on biostatistics at the University of Lille between 2015 and 2016. Later, in 2021-2022, she pursued a Master 2 in Public Health with a specialization in epidemiology at Paris Saclay University.

Professional experiences

Prior to this role, from November 2022 to October 2023, she worked at the Clinical Investigation Center of the University Hospital of Toulouse, providing methodological support for care teams in pneumology, internal medicine, and oncology. She also participated in methodological appraisals of national and inter-regional projects.

She completed her Pharmacy thesis on protein kinase inhibitors for lung cancer management during this time. In January 2022 to July 2022, she undertook a Master 2 internship at the CESP (Center for Epidemiology and Population Health Research) – Epiphare, focusing on identifying factors associated with severe SARSCoV2 infection in multiple sclerosis patients using the National Health Data System.

In May 2021 to November 2021, she worked in the Pharmacovigilance Department of the pharmaceutical company Merck, analyzing pharmacovigilance cases and participating in implementing recommendations for ovitrelle use in men.

Earlier experiences include working in the oncology department of the University Hospital of Toulouse from November 2020 to April 2021, and in various pharmacovigilance centers and clinical pharmacy settings. Additionally, from November 2018 to April 2019, she worked in the medical device purchasing department at Toulouse University Hospital, contributing to the implementation of call for tenders.

📝🔬Publications📝🔬

Jianxiao Wang – Data Science – Best Researcher Award

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 Dr. Jianxiao Wang  distinguished academic and researcher in the Data Science and Smart Grid. He is currently an Assistant Professor at the National Engineering Laboratory For Big Data Analysis and Applications, Peking University, and a Distinguished Researcher at the PKU-Changsha Institute for Computing and Digital Economy. He obtained Bachelor’s degrees in Engineering and Economics from Tsinghua University in 2014, and completed his Ph.D. in Electrical Engineering from Tsinghua University in 2019. From 2016 to 2017, he served as a visiting researcher at Stanford University and the University of California, Berkeley. From 2019 to 2020, he worked as a project leader at the Ministry of Science and Technology of the People’s Republic of China, contributing to the 14th Five-Year Plan for High Tech Development in the field of energy and transportation, and conducting research on the 2035 National Science and Technology Development Strategy in China.

His research interests revolve around data-driven decision making for energy storage and renewable power systems, focusing on evaluating the levelized cost and designing national low-carbon pathways for emerging technologies such as AIGC, roadside photovoltaics, electric and fuel cell vehicles, power-to-hydrogen, green ammonia chemical industry, and carbon capture and storage utilization. As the first or corresponding author, he has published 1 paper in Nature Sustainability, 2 papers in Nature Communications, 1 paper in Cell The Innovation, 1 paper in Cell Patterns, and 2 papers in Cell iScience. Additionally, he has authored 99 papers published in top journals and conferences, including two 0.1% ESI Hot Paper, two 1% ESI Highly Cited Paper, and four IEEE Conference Best Paper Awards. He has applied for 35 China Invention Patents and 2 US Patents. Furthermore, he has published one Springer monograph as the first author, one IEEE Press monograph as a contributing author, and coauthored three Chinese monographs. The research article in Nature Sustainability was selected as a cover paper candidate and received an official report from Johns Hopkins University. As of August 2023, the research article in Nature Communications has been accessed over 10,000 times and cited 147 times, selected as a 0.1% ESI Hot Paper and officially reported by People’s Daily.

🌐 Professional Profiles

Educations📚📚📚

He pursued his academic journey at Tsinghua University, where he completed his Bachelor’s degrees in Electrical Engineering from the Department of Electrical Engineering and Economics from the School of Economics and Management from August 2010 to July 2014. Subsequently, he continued his academic pursuit at Tsinghua University, specializing in Electrical Engineering, where he earned his Ph.D. from the Department of Electrical Engineering from August 2014 to January 2019. During his Ph.D., he achieved a GPA of 92.8, ranking 2nd out of 55 students. His outstanding performance led to his recognition as an Outstanding Doctoral Graduate and his dissertation being acknowledged as one of the top 2% at Tsinghua University. Additionally, he was awarded the Tsinghua University President Jiang Nanxiang Scholarship, a prestigious honor bestowed upon 10 Ph.D. students annually.

As part of his academic journey, he expanded his horizons through visiting researcher positions at renowned institutions. From April 2017 to December 2017, he conducted research as a visiting researcher at the University of California, Berkeley. Prior to this, from November 2016 to December 2017, he engaged in research activities as a visiting researcher at Stanford University. Furthermore, he broadened his research experience with a visiting researcher position at Texas A&M University from July 2013 to September 2013.

Research Experience

He has been serving as an Assistant Professor at the National Engineering Laboratory for Big Data Analysis and Applications at Peking University since June 2022. Concurrently, he holds the position of Distinguished Researcher at the PKU-Changsha Institute for Computing and Digital Economy. Prior to his current roles, from October 2019 to September 2020, he worked as a Project Manager at the Ministry of Science and Technology of the People’s Republic of China. Additionally, he gained valuable experience as a Lecturer at North China Electric Power University from June 2019 to May 2022.

He has received numerous accolades and awards for his outstanding contributions to science, technology, and innovation. In 2023, he was honored with the Second Prize of the Science and Technology Progress Award from the China Electrotechnical Society for his work on “Transmission and Distribution Network Coordinated Control Technology and Applications Under High Distributed Energy Penetration.” Additionally, he received the Second Prize of the Power Innovation Award from the China Electric Power Union for his achievements in “Technology and Application for Data Value-driven Hierarchical Scheduling of Renewable Power Systems.” He was also recognized with the Wu Wen-Jun Artificial Intelligence Outstanding Youth Award by the Chinese Association for Artificial Intelligence for his research on “Physics-informed Data Driven Theory for Smart Grid Operation.” Furthermore, he was selected for the Wiley Open Science Excellent Author Program.

In 2022, he was honored with the Young Scientist Award by the Ministry of Science and Technology of China. He has also been recognized under the Young Elite Scientist Sponsorship Program by the China Association for Science and Technology for his work on “Smart City Energy System Operation Considering Adaptive Consistency Control of Water Electrolysis.” He received a Gold Medal at the Geneva International Exhibition of Inventions for his contribution to “Edge-intelligence Control Technology and System of Solar+Storage Powered Microgrid.” Additionally, his paper titled “Defending Against Adversarial Attacks by Energy Storage Facility” earned the IEEE PES General Meeting Best Paper Award.

He has been recognized for his exceptional service and expertise, receiving the IEEE Transactions on Sustainable Energy Excellent Reviewer Award multiple times. He was also listed in the Forbes China 30 Under 30 Elite List and acknowledged as one of the Outstanding Young Science and Technology Talents by the China Renewable Energy Society. In 2020, he was honored as one of the Beijing Outstanding Young Talents and recognized for his contributions to energy science and technology by the China Energy Research Association. Furthermore, his innovative work on “Renewable Energy-Dominated Virtual Power Plant” secured a place in the top 10 of the Elsevier Renewable Transformation Challenge. He has also been acknowledged with various awards for his inventions and innovations, including the Silver Award at the Beijing Invention and Innovation Competition and the Gold Award at the China Invention Exhibition. Additionally, he has been recognized as a Youth Of China’s High-End Technology Innovation Think Tank for his contributions to the technological development and environmental governance benefits of China’s photovoltaic and energy storage industry.

Monograph

He has authored several publications across various domains, showcasing his expertise and contributions to the field. As the first author, he collaborated with colleagues on the book “Sharing Economy in Energy Markets: Modeling, Analysis and Mechanism Design,” published by Springer in 2022. Additionally, he authored chapters 28-30 in the book “Microgrids: Theory and Practice,” published by IEEE Press in 2023.

Furthermore, he has contributed to monographs in different capacities. In the book “Introduction to the Electricity Spot Market: Trading Strategy and Profit Model for Information Driven Growth,” published by Mechanical Industry Press in 2021, he co-authored chapters 2, 4, and 6. Additionally, he was part of the team contributing to chapter 7 in “2060 China Carbon Neutrality,” published by Chemical Industry Press in 2022. He also co-authored chapters 1 and 2 in “Introduction to New-type Power Systems,” published by the China Association for Science and Technology Carbon Peak and Carbon Neutrality Series in 2022.

Representative Academic Service

He has been recognized for his exemplary contributions and leadership in various professional capacities. In 2023, he served as the Youth Editor for Cell The Innovation, a prestigious role reflecting his expertise in the field, with the journal boasting an Impact Factor of 32.1. He was also appointed as a National Graduate Education Evaluation and Monitoring Expert by the Ministry of Education, showcasing his commitment to education excellence.

In 2022, he was honored as a Distinguished Researcher under the Beijing “Thousands of People Entering Thousands of Enterprises” program, highlighting his significant contributions to research and innovation. He was also recognized as a National Excellent Educator in the National Simulation Innovation Application Competition and appointed as an Instructor by the IEEE Industry Applications Society (IAS) at Peking University. Additionally, he received accolades as an Excellent Editor from the IET Energy Conversion and Economics.

In 2021, he was appointed as an Executive Member of the IEEE Power and Energy Society (PES) China, underscoring his leadership and expertise in the field. He also served as a Youth Working Committee Member of the 9th Council of the Chinese Electrotechnical Society, demonstrating his active involvement in professional organizations.

In 2020, he was recognized as an expert in the 6th National Technology Prediction by the Ministry of Science and Technology of China, further acknowledging his expertise and contributions to technology development. Additionally, he joined the Editorial Board of IET Renewable Power Generation, contributing his insights to the publication.

From 2019 to 2022, he chaired panel sessions at the IEEE PES General Meeting, showcasing his leadership and expertise in the field. Through these diverse roles and responsibilities, he has demonstrated his commitment to advancing research, education, and innovation in his field.

Representative Research Project

He has undertaken numerous significant research projects as the primary investigator, showcasing his leadership and expertise in the field. From November 2022 to October 2025, he leads the National Key R&D Plan project titled “Resilience Enhancement Technology for Large Urban Power Grids Amidst Extreme Events,” with a funding of 4.5 million Chinese yuan. Similarly, from January 2023 to December 2026, he is leading a project funded by the National Natural Science Foundation of China titled “Renewable-dominated Power System Flexible Ramping Operation Considering Consistency Control of Water Electrolysis Multiphysics,” with a grant of 540 thousand Chinese yuan.

In previous years, he has led various other research projects funded by prestigious organizations such as the National Natural Science Foundation of China and the State Grid Corporation of China. These projects cover a wide range of topics including virtual power plant market operation, energy systems integration, self-sustained energy systems for highways, and collaborative regulation technology for large-scale energy storage clusters. Through his involvement in these projects, he has made significant contributions to advancing research and innovation in the energy sector.

📝🔬Publications📝🔬

1 Jianxiao Wang#, Liudong Chen#, Zhenfei Tan, Ershun Du, Nian Liu, Jing Ma, Mingyang Sun, Canbing Li, Jie Song,
Xi Lu*, Chin-Woo Tan*, Guannan He*. Inherent spatiotemporal uncertainty of renewable power in China. Nature
Communications, 2023, 14: 5379.
2 Yang Yu#, Jianxiao Wang#, Qixin Chen, Johannes Urpelainen, Qingguo Ding, Shuo Liu, Bing Zhang*.
Decarbonization efforts hindered by China’s slow progress on electricity market reforms. Nature Sustainability.
2023, 6, 1006-1015.
Special Comments from Johns Hopkins University:

China’s Sluggish Electricity Market Reforms Impede Decarbonization Efforts


Representative Publications
3 Jianxiao Wang#, Haiwang Zhong*, Zhifang Yang, Mu Wang, Daniel M Kammen*, Zhu Liu, Ziming Ma, Qing Xia
and Chongqing Kang. Exploring the trade-offs between electric heating policy and carbon mitigation in China,
Nature Communications, 2020, 11: 6054. (0.1% ESI Hot Paper) https://doi.org/10.1038/s41467-020-19854-y
Special Comments from People’s Daily and Tsinghua University News:
https://www.tsinghua.edu.cn/info/1175/21483.ht

4 Jianxiao Wang#, Feng Gao#, Yangze Zhou, Qinglai Guo, Chin-Woo Tan, Jie Song, Yi Wang*. Data sharing in energy
systems. Advances in Applied Energy, 2023, 10: 100132.
AEii International Applied Energy and EnergyVision Youth Scientists Forum Report:
https://mp.weixin.qq.com/s/9FyaH55gpaKFirXhlrboGg
5 Jianxiao Wang#, Haiwang Zhong*, Zhifang Yang, Xiaowen Lai, Qing Xia, Chongqing Kang. Incentive mechanism
for clearing energy and reserve markets in multi-area power systems. IEEE Transactions on Sustainable Energy, 2020,
11(4): 2470 – 2482.
6 Jianxiao Wang#, Junjie Qin, Haiwang Zhong*, Ram Rajagopal, Qing Xia, Chongqing Kang. Reliability value of
distributed solar+storage systems amidst rare weather events. IEEE Transactions on Smart Grid, 2019, 10(4): 4476 –
4486.
7 Jianxiao Wang#, Haiwang Zhong*, Xiaowen Lai, Qing Xia, Yang Wang, Chongqing Kang. Exploring key weather
factors from analytical modeling toward improved solar power forecasting. IEEE Transactions on Smart Grid, 2019,
10(2): 1417-1427.
8 Jianxiao Wang#, Haiwang Zhong, Qing Xia*, Chongqing Kang. Optimal planning strategy for distributed energy
resources considering structural transmission cost allocation. IEEE Transactions on Smart Grid, 2018, 9(5):
5236-5248.
9 Jianxiao Wang#, Haiwang Zhong, Chin-Woo Tan, Xiao Chen, Ram Rajagopal, Qing Xia*, Chongqing Kang.
Economic benefits of integrating solar-powered heat pumps in a CHP system. IEEE Transactions on Sustainable
Energy, 2018, 9(4): 1702-1712.
10 Jianxiao Wang#, Haiwang Zhong, Ziming Ma, Qing Xia*, Chongqing Kang. Review and prospect of integrated.

Hana Catur Wahyuni – Technological Networks – Top Researcher Award

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Ms. Hana Catur Wahyuni   distinguished academic and researcher in the field  Technological Network.  In the past five years, she has been actively engaged in various research projects. In 2023, she conducted research on “A Blockchain Technology-Based Risk Management Model for the Beef Supply Chain According to Food Safety and Halal Standards to Achieve Food Independence in Ruminant Commodities,” funded by the Directorate General of Higher Education (Dikti). Additionally, she worked on “Strategies to Increase Productivity in Local Food Agro-Industries Based on Halal Product Assurance Systems with Integration of FMEA and Bayesian Network (BN),” supported by the Research Council of the Directorate General of Higher Education (Majelis Dikti Litbang PP).

🌐 Professional Profiles

Educations📚📚📚

Her educational background includes completing her Bachelor’s, Master’s, and Doctoral degrees in Engineering Management from the University of Islam Indonesia, Yogyakarta, and the Institut Teknologi Sepuluh Nopember (ITS) in Surabaya. She entered the University of Islam Indonesia in Yogyakarta in 1995 and graduated in 1999. Later, she pursued her Master’s degree at ITS in Surabaya from 2007 to 2009, followed by her Doctoral studies at the same institution from 2016 to 2020. Her dissertation titles were “Proposal for a standard work method for packaging brem based on work motion analysis with video recordings,” “Analysis of the sophistication level of humanware using a technometric approach at PG Candi Baru, Sidoarjo,” and “Integrated Risk Management Model for Food Safety and Halal in the Food Industry.” Throughout her academic journey, she was guided by Dr. Ir. Wahyu Purwanto MSIE, Prof. Dr. Ir. Udisubakti Ciptomulyono M.Eng.Sc, and Prof. Iwan Vanany ST., MT., Ph.D.

Research

In 2022, she submitted a proposal for the “World Class Professor Program” focusing on enhancing the quality of lecturers and students through collaborative publications between UMSIDA and IPB, funded by the Directorate General of Higher Education (Dikti). Furthermore, she researched “Strategies for Sustainable Development of Small and Medium-sized Fisheries Products Based on Integration of Blue Economy Concepts, Food Safety Standardization, and Halal,” supported by the Indonesian Institute of Sciences (LIPI) under the Mandatory Research Program (Rispro).

Her research endeavors in 2021 included implementing a Halal Assurance System for MSMEs under PCM Tanggulangin, Ka Sidoarjo, funded by the Muhammadiyah University (PP Muhammadiyah). In the same year, she analyzed risks in the Halal food supply chain to ensure food security in the New Normal era, under the auspices of Sidoarjo Muhammadiyah University.

Prior to that, in 2019 and 2018, she developed methods for analyzing food safety risks in the supply chain of fish-based food products produced by IKM as safe, healthy, and Halal alternative foods, funded by the Directorate General of Higher Education (Dikti). She also worked on developing a Green Human Resource Management Model to enhance the productivity of Micro, Small, and Medium Enterprises (MSMEs) as part of a National Strategic Research project in Indonesia (Dikti).

Her earlier research in 2016 focused on developing a technology adoption model to improve the quality of products from Small and Medium Enterprises (SMEs) in support of innovation-driven economics in Sidoarjo District, funded by the Competitive Grant Scheme for the second year (Dikti).

Experience

In the past five years, she has authored several books and obtained intellectual property rights. In 2015, she published “Quality Control in Service and Manufacturing Industries with Lean, Servqual, and Six Sigma,” totaling 175 pages, under PT Graha Ilmu, Yogyakarta. In 2017, she released “Human Capital in the Perspective of Business Productivity” consisting of 100 pages, published by NLC, Sidoarjo. Additionally, she authored “Assessment of Technology in Technology Adoption Processes” and “Analysis of Productivity (Basic Concepts and Measurement Techniques)” in 2017, both published by Umsida Press with 100 and 200 pages, respectively.

In 2018, she published “Pocket Book: Guide to Implementing GHRM in MSMEs” comprising 20 pages, also under Umsida Press. The following year, she authored “Risk Analysis in the Supply Chain (Focus of Research: Food Safety Risks)” published by Umsida Press, spanning 60 pages. In 2020, she released “Quality Control in Manufacturing and Service Industries” with 106 pages, published by Umsida Press. Her most recent book, “Technology Management in Industry,” was published in 2023, totaling 122 pages, under Umsida Press.

Moreover, she has acquired intellectual property rights in the last decade. In 2017, she obtained copyright for a community service program aimed at enhancing the quality of equipment for child health services, and in 2018, she secured copyrights for designing an information system for population registration to improve the quality of population services in Gelam Village, Sidoarjo Regency. Additionally, she acquired copyright for a study on Indonesian consumer perceptions of the food safety system in the fish supply chain in 2018. Lastly, in the same year, she obtained copyright for the implementation guide of GHRM in MSMEs.

Publications📚📚

Jorge Laureano Moya Rodríguez – Neural Networks – Best Researcher Award

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Jorge Laureano Moya Rodríguez – Neural Networks

 Prof Dr.  Jorge Laureano Moya Rodríguez distinguished academic and researcher in the field Neural Network.  Jorge Laureano Moya Rodríguez is a Professor Emeritus at the Central University “Marta Abreu” de las Villas. Cuba. He received his Ph.D. in Mechanical Engineering at this university in 1994. He published over a three hundred papers in professional journals and he has authored several books in mechanical and electrical engineering. He has several international and national awards, including some from the Academy of Sciences of Cuba. He has lectured in different Universities of Spain, México, Nicaragua and Brazil. He is currently visiting professor at the Federal University of Bahia in Brazil. Dr. Moya’s research interests are Multiobjective Optimization, Logistics, Computer Aided Design, and Computer Aided Engineering.

Ele é também membro da ERASMUS MUNDUS ASSOCIATION (EMA) e da Associação Mexicana de Modelagem Numérica e Engenharia (AMMNI). Reconhecido como bolsista de produtividade em Pesquisa pelo CNPq (nível 2) e consultor ad hoc do CNPq, ele contribui como árbitro para diversas revistas científicas e instituições acadêmicas em países como Venezuela, Colômbia, Peru e Cuba. Com uma ampla lista de mais de 50 projetos de pesquisa concluídos e implementados em Cuba, ele é considerado Professor de Mérito pela Universidade Central Marta Abreu de Las Villas. Sua atuação como professor abrange cursos de pós-graduação e disciplinas de mestrado em várias universidades, incluindo a Universidade Federal do Espírito Santo (Brasil), Universidade Veracruzana (México), Universidade Técnica do Estado de Aragua (Venezuela) e Universidade Nacional de Engenharia (Nicarágua). Ele também coordenou o Mestrado em Engenharia Mecatrônica em várias universidades na Venezuela e trabalhou como professor convidado em diversas instituições no México, Peru e Espanha. Anteriormente, ele foi pesquisador do ITEGAM, professor visitante na Universidade Federal do Espírito Santo e na Universidade Federal da Bahia.

 

🌐 Professional Profiles

Educations: 📚🎓

Jorge Laureano Moya Rodríguez, known in bibliographic citations as J. L. M. Rodríguez, J. L. Moya, Jorge Moya, Jorge Laureano Moya Rodríguez, J. Moya, Jorge Rodríguez, Jorge L. Moya Rodríguez, or variations thereof, is affiliated with the University Federal da Bahia, where he works within the Program of Industrial Engineering Postgraduate Studies.

He completed a postdoctoral position in 2011 at the Universidad de Oviedo, UNIOVI, Spain, funded by the Agencia Española de Colaboración Internacional, AECI, Spain. The research was in the field of Engineering.

In 2008, he undertook a postdoctoral fellowship at the Universidad de Oviedo, UNIOVI, Spain, funded by ERASMUS MUNDUS, EM, Germany. The research focus was in Engineering.

In 2005, he conducted postdoctoral research at the Universidad Católica de Leuven, KLU, Belgium, supported by VLIR, VLIR, Belgium. The research was within the field of Engineering.

Publication

 

Changheun Hyun Oh – Medical Image Reconstruction- Best Researcher Award

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Changheun Hyun Oh – Medical Image Reconstruction

Changheun Hyun oh distinguished academic and researcher in the field Deep Learning based Medical Image Reconstruction. In terms of professional experience, he contributed to LG Electronics from 2017 to 2018. Subsequently, he joined the Neuroscience Research Institute of Gachon University in Fall 2018, where he has been actively involved in research endeavors. Throughout his educational and professional journey, he has demonstrated a commitment to advancing the field of Electrical Engineering and contributing to both academic and industrial domains.

 

🌐 Professional Profiles

Educations: 📚🎓

He earned his Ph.D. degree in Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST) during the period of Fall 2011 to Fall 2020, under the guidance of Professor HyunWook Park in the Image Computing System Lab. Prior to that, he completed his M.S. degree in Electrical Engineering at KAIST from Fall 2009 to Spring 2011, continuing his research with Professor Park. His academic journey at KAIST began with a B.S. degree in Electrical Engineering, spanning from Spring 2005 to Spring 2009.

conferences

He has actively contributed to numerous international conferences, showcasing his research in the field of Electrical Engineering and Medical Imaging. In 2011, as the first author, he presented a paper on “A Switching Circuit for the Rx Signal in the MRI System” at the International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC). Subsequently, he continued to make significant contributions to conferences such as the International Forum on Medical Imaging in Asia and the Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM).

His research work encompasses diverse topics, including the optimization of RF birdcage coils, the development of an optimum RF shield for simultaneous MRI-PET systems, and innovations in MRI techniques like water-fat separation and diffusion-weighted imaging. He also explored applications beyond medical imaging, such as his involvement in the International Symposium on Electronic Art and the International Society for Music Information Retrieval Conference.

In 2018, he presented a paper on “ETER-net: End to End MR Image Reconstruction Using Recurrent Neural Network” at the First International Workshop on Machine Learning in Medical Image Reconstruction, held in conjunction with the International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI) 2018. His research continued to advance in 2020, where he discussed “A direct MR image reconstruction from k-space via End-To-End reconstruction network using recurrent neural network (ETER-net)” at the Annual Meeting of the ISMRM.

In 2022, as the first author, he presented another breakthrough with “A deep learning based direct mapping method for EPI image reconstruction” at the Annual Meeting of the ISMRM. His active participation in these conferences reflects his dedication to pushing the boundaries of knowledge in his field and applying cutting-edge technologies to advance medical imaging techniques.

 📚Top Noted Publication

 

 

Kazi Naimur Rahman -Mechatronics – Excellence in Research

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Kazi Naimur Rahman -Mechatronics

Mr. Kazi Naimur Rahman distinguished academic and researcher in the field Mechatronics and Computer Vision.  Kazi Naimur Rahman is a dedicated researcher with a profound passion for advancing knowledge in Mechatronics and Computer Vision. His academic journey is a testament to his commitment to rigorous exploration, showcasing a deep enthusiasm for contributing to cutting-edge projects and collaborating with fellow researchers. His expertise lies at the intersection of Mechatronics and Computer Vision, where he strives to push the boundaries of innovation and make significant contributions to these fields. Kazi Naimur Rahman’s relentless pursuit of excellence and collaborative spirit position him as a valuable asset in the realm of research, poised to make meaningful advancements in the convergence of Mechatronics and Computer Vision.

🌐 Professional Profiles

Educations: 📚🎓

He completed his Bachelor of Science in Engineering from the Department of Mechatronics and Industrial Engineering at Chittagong University of Engineering & Technology in 2022. His academic journey continued as he pursued a Master of Science in Engineering from the Department of Mechanical Engineering at the same university, completing it in 2023. These educational experiences have equipped him with a strong foundation in both Mechatronics and Mechanical Engineering, shaping his expertise and preparing him for a promising career in the intersection of these fields.

Research Interests: 🧬🔬

Highly secured and Effective management of app-based online voting system using RSA encryption and decryption, deep learning verification technique, database security, admin panel. Applications of Network Science and Graph Analytics in Social, Biological, and Technological Networks,Mechatronics and Computer Vision,

Experience

After completing his Bachelor of Science in Engineering from the Department of Mechatronics and Industrial Engineering at Chittagong University of Engineering & Technology (CUET) from 2017 to 2022, he took on the role of a lecturer in the same department at CUET. Currently stationed at CUET-4349 in Pahartali, Raozan, Chattogram, he has dedicated one year to his position. During this time, he has made significant contributions to research, with a notable achievement of publishing two Q1 journal articles on ScienceDirect. His research encompasses areas such as networking, deep learning, machine learning, and also involves app development. His commitment to academic excellence and research output showcases his dedication to advancing knowledge in the field of Mechatronics and Industrial Engineering.

📚Top Noted Publication

Guanglei Zhao – Networked Multiagent Systems – Best Researcher Award

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Guanglei Zhao – Networked Multiagent Systems

Prof. Guanglei Zhao distinguished academic and researcher in the field Networked multiagent systems , He is an Associate Professor with the Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China. He has been actively involved in the field of academia, steadily progressing through various roles at Yanshan University. Since November 2020, he has served as a Professor, contributing to the university’s academic environment and research endeavors. Prior to this, from December 2017 to October 2020, he held the position of Associate Professor, demonstrating his dedication and expertise in his chosen field.

Before advancing to an associate professorship, he served as a Lecturer from January 2015 to November 2017, where he honed his teaching skills and imparted knowledge to students. His academic journey began in October 2012 when he assumed the role of a Research Fellow at The University of Melbourne, showcasing his commitment to research and contributing to the global academic community. Through these various roles, he has accumulated a wealth of experience and knowledge, making valuable contributions to both teaching and research domains

🌐 Professional Profiles

Educations: 📚🎓

He has a robust academic background, marked by his progressive pursuit of higher education in the field of engineering and control systems. In December 2014, he achieved his PhD in Control Theory and Control Engineering from Shanghai Jiao Tong University, a significant milestone that highlights his deep understanding and expertise in his field. Prior to this, in June 2009, he earned his Master’s degree in Systems Engineering from Huazhong University of Science and Technology, further solidifying his foundation in engineering principles and systems analysis. His academic journey commenced with the attainment of his Bachelor’s degree in Automation from Yantan University in June 2007, where he laid the groundwork for his future academic and professional endeavors. This educational pathway has equipped him with a comprehensive skill set and theoretical knowledge, essential for his subsequent achievements in academia and research.

Research Interest

control systems design, cooperative control of robot systems, networked control systems

 

📚Top Noted Publication
[1]. Hailong Cui, Guanglei Zhao, Shuang Liu, Zhijie Li, A Novel Adaptive Event-Triggered
Consensus Control Approach to Multi-Agent Systems with Guaranteed Positive MIET, IEEE
Transactions on Network Science and Engineering, 2023, 10.1109/TNSE.2023.3296450.
[2]. Hailong Cui, Guanglei Zhao, A Decentralized Dynamic Self-Triggered Control Approach
to Consensus of Multiagent Systems, IEEE Transactions on Systems, Man, and Cybernetics:
Systems, 53(9):5772-5783, 2023.
[3]. Guanglei Zhao, Quanzhong Liu, Prescribed-time Containment Control of High-order
Nonlinear Multi-Agent Systems Based on Distributed Observer, Journal of the Franklin
Institute, 360(10), 6736-6756, 2023.
[4]. Guanglei Zhao, Lanqing, Jin, Distributed Adaptive Dynamic Event-Triggered Secondary
Control for Islanded Microgrids with Disturbances, IEEE Transactions on Smart Grid,
14(6), 4268-4281, 2023.
[5]. Guanglei Zhao, Changchun Hua, Hybrid Event-Triggered Cooperative Output Regulation
of Multi-Agent Systems with Unreliable Communication Link, IEEE Transactions on
Cybernetics, 2023, 10.1109/TCYB.2023.3257140
[6]. Guanglei Zhao, Lanqing Jin, Hailong Cui, Yifeng Wang, Distributed Dynamic EventTriggered Secondary Control for Islanded Microgrids With Disturbances and Communication
Delays: A Hybrid Systems Approach, IEEE Transactions on Industrial Informatics,
19(8):8795-8805, 2023.
[7]. Guanglei Zhao, Changchun Hua, A Hybrid Systems Approach to Event-Triggered
Consensus of Multiagent Systems With Packet Losses, IEEE Transactions on Systems, Man,
and Cybernetics: Systems,53(3):1773-1787, 2023.
[8]. Guanglei Zhao, Hailong Cui, Changchun Hua, Hybrid Event-Triggered Bipartite Consensus
Control of Multi-Agent Systems and Application to Satellite Formation, IEEE Transactions
on Automation Science and Engineering, 20(3): 1760-1771, 2023.
[9]. Guanglei Zhao, Lanqing Jin, Yifeng Wang, Distributed Event-Triggered Secondary Control
for Islanded Microgrids With Disturbances: A Hybrid Systems Approach, IEEE Transactions
on Power Systems, 38(2):1420-1431, 2023..
[10]. Guanglei Zhao, Changchun Hua, Leaderless and Leader-Following Bipartite Consensus
of Multi-Agent Systems with Sampled and Delayed Information, IEEE Transactions on
Neural Networks and Learning Systems, 34(5):2220-2233, 2023.
[11]. Guanglei Zhao, Changchun Hua, Shuang Liu, Sampled-Data Dynamic Output Feedback
Consensus Control of Multi-Agent Systems, IEEE Transactions on Network Science and
Engineering, 9(5):3292-3301, 2022. 10.1109/TNSE.2022.3174224

Arturo Roman Messina – Technical networks – Best Researcher Award

Published on by Network Science

Arturo Roman Messina – Technical networks

Dr. Asturo Roman Messina distinguished academic and researcher in the field Technical Network , Arturo Roman-Messina currently works at the Centre for Research and Advanced Studies (Cinvestav) of the National Polytechnic Institute of Mexico. His current project is ‘Spatio-temporal Analysis of wide-area data’.

🌐 Professional Profiles

Educations: 📚🎓

He earned his Ph.D. in Electrical Engineering from Imperial College of Science Technology and Medicine at the University of London in 1991. Prior to that, he completed his M.Sc. in Ingeniería Eléctrica at the Instituto Politécnico Nacional in Mexico in 1987. His educational journey began with a B.E. in Ingeniero Mecánico Electricista from the Universidad Autónoma de Guadalajara in Guadalajara, Mexico, in 1984. With a diverse academic background spanning institutions in both the United Kingdom and Mexico, he has cultivated a rich foundation in electrical engineering and related fields.

 

Awards and Achievements: 🏆👏

He has garnered numerous accolades and recognitions throughout his distinguished career. In 2023, his paper titled “A Data-Driven Under Frequency Load Shedding Scheme in Power Systems,” co-authored by Hemin Golpira, Hassan Bevrani, Bruno Francois, and himself, was selected as one of the five outstanding papers by the IEEE Transactions on Power Systems. In 2018, he received the IEEE Power System Dynamic Performance (PSDP) Committee Prize Paper Award for the paper “A Dynamic Mode Decomposition Framework for Global Power System Oscillation Analysis,” authored by E. Barocio, B. C. Pal, N. F. Thornhill, and A. R. Messina. The year 2013 brought him the IEEE Power Engineering Society, Power System Dynamic Performance Committee, Technical Committee Working Group Recognition Award for his contributions to the “Identification of Electromechanical Modes.

” His significant contributions to the analysis of electric power systems led to his election as a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2012. Among other notable awards, he received the Knowledge Leadership Award in 2011 for his paper on modal analysis of inter-area oscillations in the Mexican interconnected system. Additionally, he was recognized in 2006 with the IEEE Power Engineering Society, Power System Dynamic Performance Committee, Technical Committee Working Group Recognition Award for his involvement in the “Task Force on Assessing the Need to Include Higher-Order Terms for Small-Signal (Modal) Analysis.” Notably, in 1987, he graduated with honors and academic distinction, earning a Master’s Degree in Electrical Engineering-Power Systems from the National Polytechnic Institute of Mexico.

Academic Experience

He has held a distinguished academic position as a Professor in the Graduate Studies Program in Electrical Engineering at Cinvestav del IPN since 1997. His commitment to advancing knowledge extends globally, as evidenced by his various visiting appointments at renowned institutions. In 2005-2006, he served as a Visiting Research Associate in the Department of Electrical and Computer Engineering at Arizona State University, Tempe, AZ, USA. Further expanding his academic reach, he was a Visiting Professor at Iowa State University, Ames, Iowa, USA, in 2003-2004, and at Imperial College of Science Technology and Medicine in London, UK, in 1998.

Prior to these international positions, from 1995 to 1997, he held the role of Visiting Professor in the Department of Electrical Engineering at the Universidad de Guadalajara in Guadalajara, Mexico. His academic journey began in 1986, and over the course of nearly a decade, until 1995, he served as a Professor in the Graduate Studies Program in Electrical Engineering at the National Polytechnic Institute in Mexico. Through these roles, he has made significant contributions to the field and has played a pivotal role in shaping the education and research landscape in electrical engineering.

Professional Activities

He has actively contributed to various facets of the electrical engineering community through his extensive involvement in professional committees and editorial roles. From 2023 to 2024, he served as a Member of the IEEE Fellow Committee, demonstrating his commitment to recognizing excellence in the field. In the previous year, from 2022 to 2023, he continued his involvement as a Member. His leadership skills were evident from 2016 to 2019 when he served as the Chairman of the Power System Stability Control Subcommittee within the Power Systems Dynamic Committee at IEEE. In 2013, he became a member of the Editorial Advisory Panel of the Journal Electric Power Systems Research, showcasing his dedication to advancing scholarly publications.

He assumed the role of Editor for the Electric Power Components & Systems Journal in 2013, further contributing to the dissemination of knowledge in the field. Additionally, from 2012 to 2018, he served as the Secretary of the Power System Stability Control Subcommittee within the Power Systems Dynamic Committee at IEEE. His editorial contributions extended to serving as an Associate Editor for the IEEE Transactions on Power Systems from 2011 to 2018. Since 2009, he has been a member of the Editorial Board for Electric Power Components and Systems and the International Journal on Power Systems Optimization. Furthermore, from 2009 to 2011, he contributed his expertise as a member of the Editorial Board for The Open Electrical & Electronic Engineering Journal. His multifaceted involvement highlights his dedication to advancing the field both in terms of academic publications and professional committee responsibilities.

Books and book chapters

1. Arturo Román Messina, Wide-area Monitoring of Interconnected Power Systems
(Segunda edición), IET The Institution of Engineering and Technology, IET Energy
Engineering 213, 2022
2. Hemin Golpira, A. Roman Messina, Renewable Integrated Power System Stability and
Control, IEEE-Wiley, 2021
3. Arturo R. Messina, Data Fusion and Data Mining for Power System Monitoring, CRC
Press, USA, 2020.
4. Arturo R. Messina (Editor), Power System Stability and Control. 17th Edition of the
Standard Handbook for Electrical Engineers, McGraw-Hill, Section 20, 2018, pp. 1239-
1327.
5. Arturo R. Messina, Rafael Castellanos, Claudia M. Castro, Emilio Barocio, Armando
Jiménez Zavala, “Large-Scale Wind Generation Development in the Mexican Power
Grid: Impact Studies, Handbook of Distributed Generation, Springer Verlag, March
2017, pp. 109-148.
3. A. R. Messina, Wide-Area Monitoring of Large Power Systems, IET, London, U.K.,
2015
4. A. R. Messina, R. Castellanos, R. Betancourt, “Advanced Wide-Area angle stability and
voltage control”, (ebook) 2011, Nova Science Publishers, Inc., NY, USA
5. Arturo Roman Messina (Editor), Interarea Oscillations in Power Systems: A
Nonlinear and Nonstationary Perspective, Power Electronics and Power Systems Series,
Springer Verlag, New York, March 2009.
6. T.J. Browne, V. Vittal, G.T. Heydt, and A.R. Messina, “Practical Application of Hilbert
Transform Techniques in Identifying Inter-area Oscillations,” in Inter-area Oscillations
in Power Systems – A Nonlinear and Nonstationary Perspective, pp. 101-126, Springer,
2009.

📚Top Noted Publication

Guangli Wu – Video Summarization – Best Researcher Award

Published on by Network Science

Guangli Wu – Video Summarization

prof Dr. Guangli Wu  distinguished academic and researcher in the field  Video summarization.  The existence of software vulnerabilities will cause serious network attacks and information leakage problems. Timely and accurate detection of vulnerabilities in software has become a research focus on the security field. Most existing work only considers instruction-level features, which to some extent overlooks certain syntax and semantic information in the assembly code segments, affecting the accuracy of the detection model. In this paper, we propose a binary code vulnerability detection model based on multi-level feature fusion. The model considers both word-level features and instruction-level features. In order to solve the problem that traditional text embedding methods cannot handle polysemy, this paper uses the Embeddings from Language Models (ELMo) model to obtain dynamic word vectors containing word semantics and other information. Considering the grammatical structure in the assembly code segment, the model randomly embeds the normalized assembly code segment to represent it. Then the model uses bidirectional Gated Recurrent Unit (GRU) to extract word-level sequence features and instruction-level sequence features respectively.

Eduvation

He pursued his academic journey with a solid foundation in computer science and technology, earning a Bachelor’s degree from Shandong Technology and Business University in 2003. Building upon this, he delved into the realm of Computer Application Technology, completing his Master’s degree at Northwest Minzu University in 2007. Driven by a passion for cultural diversity and linguistic exploration, he further expanded his expertise by attaining a doctoral degree in Chinese Minority Ethnic Languages and Literature from Northwest Minzu University in 2011. This educational trajectory reflects his commitment to a multidisciplinary approach, seamlessly blending computer technology with a profound understanding of language and culture.
Professional Profiles:

RESEARCH INTEREST

⚫ Video Summarization
⚫ Temporal Language Localization in videos
⚫ Botnet Detection
⚫ Binary Code Vulnerability Detection
⚫ Video Abnormal Event Detection
FUND PROJECTS
1. Natural Science Foundation of Gansu Province (17JR5RA161, 21JR7RA570)
2. Gansu University of Political Science and Law Major Scientific Research and Innovation Projects
(GZF2020XZDA03)
3. Young Doctoral Fund Project of Higher Education Institutions in Gansu Province (2022QB-123)
4. Gansu Province Higher Education Innovation Fund Project (2017A-068)
5. University-level Innovative Research Team of Gansu University of Political Science and Law
6. Longyuan Youth Innovation and Entrepreneurship Talent Project (2022QB-123)

MAIN SCIENTIFIC PUBLICATIONS

1. Guangli Wu,ShengTao Wang,Shipeng Xu. “Feature fusion over hyperbolic graph convolution networks for
video summarization.” IET Computer Vision,2023.
2. Guangli Wu,Tongjie Xu. “Video Moment Localization Network Based on Text Multi-semantic Clues
Guidance.” Advances in Electrical and Computer Engineering,2023,23(3):85-92.
3. Guangli Wu,Huili Tang. “Binary Code Vulnerability Detection Based on Multi-Level Feature Fusion.” IEEE
Access,2023,11: 63904-63915.
4. Guangli Wu,Shanshan Song,Leiting Li. “Video Summarization Generation Model Based on Transformer
and Deep Reinforcement Learning.” in 2023 8th International Conference on Computer and
Communication Systems (ICCCS). IEEE, 2023: 916-921.
5. Guangli Wu,Shengtao Wang,Liping Liu. “Fast Video Summary Generation Based On Low Rank Tensor
Decomposition.” IEEE Access,2021,9:127917-127926.
6. Guangli Wu,Zhenzhou Guo,Mianzhao Wang,Leiting Li and Chengxiang Wang. “Video Abnormal Event
Detection Based on CNN and Multiple Instance Learning.” in twelfth international conference on signal
processing systems. SPIE,2021:134-139.
7. Guangli Wu,Zhenzhou Guo,Leiting Li and Chengxiang Wang. “Video Abnormal Event Detection Based on
CNN and LSTM.” in 2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP).
IEEE,2020: 334-338.
8. Guangli WU,Leiting LI,Zhenzhou GUO,Chengxiang WANG and Yanpeng, YAO. “Video summarization
Based on ListNet Scoring Mechanism.” in 2020 5th International Conference on Computer and
Communication Systems (ICCCS). IEEE,2020: 281-285.
9. Guangli WU,Liping LIU,Chen Zhang and Dengtai TAN. “Video Abnormal Event Detection Based on ELM.”
in 2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP).IEEE,2019: 367-371