Micheal Olaolu Arowolo – Artificial intelligence – Excellence in Innovation

Posted on by Network Science

Micheal Olaolu Arowolo – Artificial intelligence – Excellence in Innovation

Dr. Micheal Olaolu Arowolo  distinguished academic and researcher in the field Artificial Intelligence. He holds several academic and professional memberships. In March 2021, he became a member of the Institute of Electrical and Electronics Engineers (IEEE), with membership number 96234988. He joined the Asia Pacific Institute of Science and Engineering (APISE) in September 2019, holding membership number M20190918110. In May 2019, he became a member of both the International Society for Computational Biology (ISCB) and the Nigerian Bioinformatics and Genomics Network (NBGN), with membership number NBGNI380. He also joined the Society of Digital Information and Wireless Communications (SDIWC) in March 2017 and the European Alliance for Innovation (EAI) in February 2017. Additionally, he has been a member of the International Association of Engineers (IAENG) since September 2015, with membership number 158851. His professional certifications include being an Oracle Database SQL Certified Expert from Oracle University, achieved in March 2014. Moreover, he is indexed on Scopus (57214819505), ORCID (0000-0002-9418-5346), and Web of Science Researcher (ABD-4157-202), all obtained in 2019.

 

🌐 Professional Profile

Educations📚📚📚

He attended several academic institutions, beginning with ECWA L.G.E.A Primary School ‘B’ in Ilorin, Kwara State, where he obtained his First School Leaving Certificate (FSLC) from 1991 to 1998. He then moved on to Modelak Science College in Ilorin, completing his Senior School Certificate Examination (SSCE) between 1998 and 2004. For his undergraduate studies, he attended Al-Hikmah University in Ilorin, Kwara State, earning a Bachelor of Science (B.Sc.) degree in Computer Science with Second Class Honors (Lower Division) from 2008 to 2012. Continuing his education, he obtained a Master of Science (M.Sc.) degree in Computer Science from Kwara State University in Malete, Kwara State, between 2014 and 2017. Finally, he completed his academic journey at Landmark University in Omu-aran, Kwara State, where he earned a Doctor of Philosophy (Ph.D.) in Computer Science from 2018 to 2021.

Work Experience:

He has held various academic and professional positions throughout his career. Since 2022, he has been serving as a Research Scholar, Instructor, and Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri, Columbia, specifically at the Christopher S. Bond Life Sciences Center. In 2021, he was a Lecturer II in the Department of Computer Science at Landmark University, Omu-Aran, Kwara State, Nigeria, and prior to that, from 2020 to 2021, he worked there as an Assistant Lecturer. From 2018 to 2020, he was a Graduate Lecturer in the Department of Computer Science at the Institute of Professional Studies, Kwara State University, Malete. In 2019, he served as an Ad-Hoc Staff for the Independent National Electoral Commission (INEC) in Nigeria, working as an Oke-Ode Ad-Hoc Registration Area Technician for the Kwara State Election. His earlier roles include being an IT Consultant at Dalayak IT Consults from 2016 to 2017, a Computer Analyst at Baylings Enterprises from 2013 to 2015, and a Computer Analyst for the Ogun-Oshun River Basin Development Authority during his National Youth Service Corps (NYSC) from November 2012 to October 2013.

Academic and Administrative Positions Held

He has served in various academic and administrative roles, including being the Academic Level Adviser for Computer Science 400L students and the Examination Officer for the Computer Science department at Landmark University from 2021 to 2022. Additionally, he was a member of the University Ranking Committee at Landmark University in 2022. He contributed to the university community by being a member of the Landmark University Sustainable Development Goal 9 group focused on industry, innovation, and infrastructure. He also served on the Local Organizing Committee (LOC) for the 2nd Nigerian Bioinformatics and Genomics Network (#NBGN21) Conference in 2021. Furthermore, he acted as the Social Director of the Al-Hikmah University Alumni Association and was an instructor for H3ABioNet’s Introduction to Bioinformatics course (IBT_2021).

His personal qualities include good logical skills, a strong personality, excellent communication abilities, keen observation, quick learning, multitasking, and proficiency in computing. Throughout his career, he has supervised over 40 undergraduate students (B.Sc.) on their projects, theses, and dissertations.

📝🔬Publications📝🔬

Esha Aftab – Neural Models – Best Researcher Award

Posted on by Network Science

Esha Aftab – Neural Models – Best Researcher Award

Ms. Esha Aftab  distinguished academic and researcher in the field Neural Models.  She possesses a strong foundation in various undergraduate courses such as Introduction to Computing, Object-Oriented Programming (C++), Data Structures and Algorithms, Database Systems, Digital Logic Design, and Design and Analysis of Algorithms. Her technical proficiencies encompass a wide range of technologies and languages including C#, ASP, .NET Framework, PRISM Framework, MATLAB, MS SQL Server 2005, Oracle, Java, JavaScript, Java ME, and OpenGL.

🌐 Professional Profiles

Educations📚📚📚

She is currently pursuing her PhD at Punjab University College of Information Technology, with a focus on advancing her knowledge and expertise in her field. Prior to this, she completed her M.Sc in Computer Science at Lahore University of Management Sciences (LUMS) in 2012, achieving a commendable CGPA of 3.66 out of 4.0. Her academic journey commenced with a Bachelor’s degree in Computer Science from the National University of Computer & Emerging Sciences (NU-FAST), Lahore, where she graduated in 2009 with an impressive CGPA of 3.74 out of 4.0. Her educational background reflects a consistent dedication to academic excellence and a strong commitment to her field of study.

Work Experience

She has amassed a wealth of experience across academia and industry. Currently serving as an Assistant Professor at Punjab University College of Information Technology (PUCIT) since 2019, her role involves conducting programming and technical courses, with a particular focus on subjects such as Data Structures, Algorithms, and Machine Learning. Prior to this, she held the position of Lecturer at NUCES-FAST from 2012 to 2019, where she contributed significantly to the academic environment. Additionally, she served as Visiting Faculty in 2012, delivering the ‘Applied Programming’ course for MSc students. Her industry experience includes a stint as a Software Engineer at Techlogix Pvt. Limited from 2009 to 2010, where she was involved in designing and developing automated business processes for clients like Ufone, Motorola, and Nestle. Her projects ranged from enterprise application integration for Ufone using IBM WebSphere Integration Developer to implementing automated business processes for Motorola using Savvion BPM Software and devising algorithms for Nestle’s Milk Balancing System. She adeptly utilized various development tools such as Microsoft Visual Studio 2008, Silverlight, Telerik Toolkit, and .Net Framework to deliver innovative solutions across her diverse roles.

Technical Proficiencies
 She is adept at working in different development environments such as Linux (Ubuntu), MS Visual Studio (2008/2010), Netbeans IDE, Eclipse, Savvion BPM Software, and IBM Websphere Toolkit. Noteworthy among her major projects is her contribution to a Computer Vision Research Project focused on developing a Shape and color-based Jigsaw Puzzle Solver, achieving successful results in shape-based jigsaw piece identification and implementing piece placement algorithms using image stitching techniques. Additionally, she has contributed to a research-based project on Image Annotation, employing statistical methods to label images according to their content. Her diverse skill set and hands-on experience in both academic and research settings underscore her proficiency and versatility in the field of computer science

Academic Achievements

 Silver Medalist: 2nd position in BCS (FAST)
 Dean’s List Honor Certificate (FAST)

 

📝🔬Publications📝🔬

Asif Hamid- Deep learning – Best Researcher Award

Posted on by Network Science

Asif Hamid- Deep learning – Best Researcher Award

Mr. Asif Hamid  distinguished academic and researcher in the field  Deep learning. He has accumulated over four years of experience in writing and publishing research articles for journals and conferences. This experience has provided him with a deep understanding of various writing styles, from scholarly articles to book chapters and industry-focused documentation. His role as a reviewer for many prestigious conferences has also sharpened his critical thinking and editorial abilities.

His expertise is not limited to writing; he is skilled in Python and MATLAB programming, which are crucial for his research projects. He possesses basic skills in HTML and is proficient with MS Office tools—Word, Excel, and PowerPoint—as well as LaTeX software, all vital for creating research papers and presentations. Additionally, his ability to utilize internet applications and implement deep learning techniques demonstrates his aptitude for integrating cutting-edge technology into his research activities.

🌐 Professional Profiles

Educations📚📚📚

He is currently pursuing a Ph.D. at the Islamic University of Science and Technology (IUST) in Awantipora, Jammu & Kashmir, India, a program he began in 2020. Prior to this, he earned his Master of Technology degree in Control and Instrumentation Systems from Jamia Milia Islamia (JMI) in India, where he distinguished himself by securing a CGPA of 9.3 out of 10, placing him in the top 1% of his class. His foundational education was completed at Baba Ghulam Shah Badshah University in Rajouri, Jammu & Kashmir, where he received his Bachelor of Technology degree in Electronics and Communication Engineering, achieving a percentile score of 75.6, which also placed him in the top 1% of his peers.

Conference Papers

• Asif Hamid Bhat, Rafiq, D., Nahvi, S. A., & Bazaz, M. A. (2022, May). Discovering low-rank
representations of large-scale power-grid models using Koopman theory. In 2022 Trends in
Electrical, Electronics, Computer Engineering Conference (TEECCON). IEEE.. [Link]
• Asif Hamid Bhat, Rafiq, D., Nahvi, S. A., & Bazaz, M. A. (2022, July). Power Grid parameter
estimation using Sparse Identification of Nonlinear Dynamics. In 2022 International
Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) (pp. 1-6).
IEEE. [Link]
• Asif Hamid Bhat, Rafiq, D., Nahvi, S. A., & Bazaz, Neural network-based time stepping

Awards and Achievements

He has received numerous accolades and support for his academic pursuits. Since 2020, he has been a recipient of the MHRD (Ministry of Human Resource Development, Government of India) fellowship for his Ph.D. studies in the Department of Electrical Engineering at the Islamic University of Science and Technology in Awantipora, Jammu & Kashmir, India, supported by grant number IUST0119013135. In 2019, he successfully qualified the GATE (Graduate Aptitude Test in Engineering) for Electronics and Communication Engineering, scoring 31.67 out of 100. Furthermore, in 2017, he qualified for the M.Tech. program at Jamia Milia Islamia, Delhi, by passing the entrance examination, demonstrating his consistent excellence and competence in his field.

WORKSHOP / SEMINAR / TRAINING / STC attended

1. Presented Discovering low-rank representations of large scale power-grid models using Koopman
theory paper in Electrical, Electronics, Computer Engineering Conference IEEE held on 26-27
may 2022 at Reva University.
2. Presented Power Grid parameter estimation using Sparse Identification of Nonlinear Dynamics
paper in the INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROLLER AND
COMPUTING FOR SMART POWER, IEEE 2022 organized by the Department of Electrical
and Electronics Engineering, Sreenidhi Institute of Science And Technology, Hyderabad,
India during 21–23 July 2022.
3. Reviewer for IEEE international conference on applied intelligence and sustainable
computing 2023.
4. Attend in faculty development program entitled “Research Methodology + Publication Ethics”
organised by Department of computer science and engineering IUST, Awantipora form 7-11
Feb 2022.

📝🔬Publications📝🔬

  • Hierarchical deep learning-based adaptive time stepping scheme for multiscale simulations

    Engineering Applications of Artificial Intelligence
    2024-07 | Journal article
    DOI: 10.1016/j.engappai.2024.108430
    CONTRIBUTORS: Asif Hamid; Danish Rafiq; Shahkar Ahmad Nahvi; Mohammad Abid Bazaz

  • Neural network-based time stepping scheme for multiscale partial differential equations

    2023 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA)
    2023-10-27 | Conference paper
    DOI: 10.1109/cera59325.2023.10455439
    CONTRIBUTORS: Asif Hamid; Danish Rafiq; Shahkar Ahmad Nahvi; Mohammad Abid Bazaz

  • Deep learning assisted surrogate modeling of large-scale power grids

    Sustainable Energy, Grids and Networks
    2023-06 | Journal article
    DOI: 10.1016/j.segan.2023.101031
    Part ofISSN: 2352-4677
    CONTRIBUTORS: Asif Hamid; Danish Rafiq; Shahkar Ahmad Nahvi; Mohammad Abid Bazaz

  • Power Grid parameter estimation using Sparse Identification of Nonlinear Dynamics

    2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)
    2022-07-21 | Conference paper
    DOI: 10.1109/iciccsp53532.2022.9862464
    CONTRIBUTORS: ASIF HAMID BHAT

Wei Zhang – Digital algorithms – Best Researcher Award

Posted on by Network Science

Wei Zhang – Digital algorithms – Best Researcher Award

Dr. Wei Zhang distinguished academic and researcher in the field Digital algorithms. Zhang Wei and Liu Hui have collaborated on several scholarly articles addressing rural economic issues in China. In their 2020 publication in “Jiangsu Agricultural Sciences,” they examined the “Problems and Countermeasures in the Development of Rural Collective Economy,” using Fenyi County, Jiangxi Province as a case study. This article, found in volume 48, issue 21, pages 28-33, discusses specific challenges faced by rural economies and proposes various strategies for improvement.

🌐 Professional Profiles

Educations📚📚📚

From September 2016 to June 2019, he pursued his Bachelor of Marketing at Hefei University of Technology. He continued his studies at Hunan Agricultural University, where he earned a Master of Agricultural and Forestry Economics and Management, completing the program in June 2021. Building on his academic achievements, he began his PhD in Capability Economic Management at the same university in September 2021, with an expected completion date of June 2025.

Research Experience

Zhang Wei and Liu Hui have collaborated on several scholarly articles addressing rural economic issues in China. In their 2020 publication in “Jiangsu Agricultural Sciences,” they examined the “Problems and Countermeasures in the Development of Rural Collective Economy,” using Fenyi County, Jiangxi Province as a case study. This article, found in volume 48, issue 21, pages 28-33, discusses specific challenges faced by rural economies and proposes various strategies for improvement. Following this, in 2022, they published an article in “Price Theory and Practice,” where they analyzed the effectiveness of reforms in the rural collective property rights system from the perspective of farmer participation. This research, featured in the March 2022 issue on pages 169-172 and 205, was underpinned by a survey of 315 farmer households across Hunan and Jiangxi provinces, offering valuable insights into the impact of these reforms on rural communities.

Project experience

He hosted the 2023 Hunan Provincial Postgraduate Research Innovation Project Key Project, CX20230730, which focused on the Research on the Contract and Performance of Farmland Infrastructure Governance under Endowment Heterogeneity. He also played a significant role in contributing to several major research projects. He participated in writing a major project for the Hunan Provincial Social Science Fund, numbered 23ZWA14, which involved researching the Current Situation and Countermeasures of Rural Collective Economic Development in Hunan Province. Additionally, he contributed to the general project of the Hunan Provincial Social Science Fund, 21YBA079, which examined the governance mechanism and performance of high-standard farmland in the context of food and ecological security. His research contributions extended to the Hunan Provincial Natural Science Foundation’s general project, 2023JJ30312, focusing on the mechanism and performance of digital technology in empowering farmland water conservancy facilities. Moreover, he was involved in writing for a project under the Hunan Provincial Development and Reform Commission that researched coordinated food and ecological security in the middle and lower reaches of the Yangtze River plain, considering “resources-factors-policies.”

Personal honor

He achieved notable recognition in various academic competitions and forums. At the 2021 Modern Agricultural Development Forum and the First “World Agriculture” Workshop in the context of “Dual Cycles,” he won the second prize in the paper competition. His research excellence continued into the following year when he won the first prize for outstanding paper at the 2022 Hunan Rural Economics Association Annual Meeting. Additionally, he received the award for the second “Economic Management Quantitative Research Methods” Excellent Paper at the School of Economics, Hunan Agricultural University. He also actively participated in advanced training sessions, including the “Jiangsu Province Applied Economic Research Methodology” workshop organized by the Economics Graduate Education Steering Committee of Jiangsu Province and the School of Economics and Management of Nanjing Agricultural University, where he earned the title of qualified student. Furthermore, he attended the “2021 Summer Econometrics and Scientific Research Methods Lecture Series” at the School of Statistics and Mathematics of Zhongnan University of Economics and Law, also achieving the status of qualified student.

 

📝🔬Publications📝🔬

Jianxiao Wang – Data Science – Best Researcher Award

Posted on by Network Science

 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.

Fardin Noori – Topological Networks – Graph Analytics Pioneer Award

Posted on by Network Science

Mr. Fardin Noori distinguished academic and researcher in the field  Topological Networks.  He has accumulated valuable teaching experiences, primarily within the realm of Electrical Engineering in the Oil, Gas, and Energy Industries. From August 2020 to February 2023, he played a pivotal role in instructing newly graduated trainees through an intensive course at Tarh O Palayesh Engineering Company in Tehran, Iran. In this capacity, he imparted essential knowledge and practical skills relevant to the industry, contributing to the professional development of aspiring engineers. Additionally, in February 2020, he facilitated a course focused on Solar Cells and Modules Production at the same institution. Through these teaching engagements, he has demonstrated his commitment to knowledge dissemination and nurturing the next generation of industry professionals.

🌐 Professional Profiles

Educations📚📚📚

He pursued his education with a focus on Electrical Engineering, specializing in Power Systems. This journey commenced with his Bachelor of Science degree at the Electrical Engineering Department of Shahid Rajaee University in Tehran, Iran, where he achieved a commendable GPA of 15.82/20 over the duration of four years, from September 2010 to September 2014. Building upon this foundation, he furthered his academic pursuits by attaining a Master of Science degree in Electrical Engineering – Power Systems from Shahid Beheshti University, also located in Tehran, Iran. During this advanced program, spanning from September 2015 to February 2018, he demonstrated his commitment to excellence with a GPA of 14.63/20. His dedication to his field was evident even during his earlier academic years, as reflected in his impressive GPA of 19.27/20 during his High School and Pre-University Diploma studies from September 2006 to September 2010, with a focus on Mathematics and Physics. Throughout his educational journey, he exhibited a strong aptitude for his chosen field, laying a solid foundation for his future endeavors in Electrical Engineering.

Research Interest

His research interests encompass a diverse array of topics within the realm of Electrical Engineering. With a keen focus on advancing the field, he is particularly drawn to exploring the intricacies of Microgrid and Smart Grid technologies, recognizing their potential to revolutionize energy distribution systems. Delving into the complexities of the Electricity Market, he seeks to unravel the dynamics shaping its evolution and impact on energy accessibility and affordability. His commitment to sustainability is evident in his pursuit of understanding Renewable Energy Integration strategies, aiming to optimize their utilization and minimize reliance on traditional energy sources. Additionally, he is intrigued by the challenges posed by Uncertainty Modeling, endeavoring to develop robust frameworks to address unpredictabilities in energy systems. Furthermore, his interests extend to Energy Management Systems, where he explores innovative approaches to enhance efficiency and reliability in energy consumption. Finally, he is captivated by the possibilities presented by Energy Storage Systems, recognizing their pivotal role in facilitating the transition towards a more resilient and sustainable energy landscape. Through his research pursuits, he aspires to contribute meaningfully to the advancement of these critical areas within Electrical Engineering.

🏆🏆HONORS AND AWARDS🏆🏆

He has consistently demonstrated exceptional academic prowess and performance, earning recognition at various levels of education. Notably, in 2015, he achieved an outstanding rank of 187th in the National-Wide University Entrance Exam for Master’s Degree in Electrical Engineering, showcasing his aptitude and dedication to his field of study. His academic excellence was further underscored in 2010 when he distinguished himself within the top 2 percent nationwide in the Mathematics and Physics University Entrance Exam for Bachelor’s Degree. This remarkable achievement, surpassing over 320,000 participants, reflects his exemplary command of the subject matter and his ability to excel in competitive academic environments. Moreover, throughout his high school and pre-university years from 2006 to 2010, he consistently ranked among the top students, earning recognition for his academic achievements and dedication to learning. His consistent track record of academic excellence speaks volumes about his commitment to intellectual growth and his innate talent in the field of mathematics and physics.

WORK EXPERIENCE 

He brings a wealth of practical experience to his professional portfolio, having held various roles within the engineering domain. Commencing his career journey as a Power System Engineering Intern at Sheikh Baha’i High Voltage Substation in Tehran, Iran, he laid the groundwork for his future endeavors. His career trajectory led him to assume roles of increasing responsibility and expertise at Tarh O Palayesh Engineering Company in Tehran, Iran. Here, he demonstrated his leadership abilities as a Project Manager, overseeing the Asalouyeh Operational Base Solar Power Plant Project from December 2021 to June 2023. Prior to this, he served as a Project Section Leader of Overhead Transmission Line Discipline, managing tasks related to integrated environment studies and engineering design for the Sohrab Oil Field Development Project.

His tenure also saw him contribute as a Renewable Engineer, conducting feasibility studies for renewable energy utilization in the Andisheh New Town Project. Additionally, he held the position of Deputy Head of Electrical Discipline, showcasing his strategic acumen and organizational skills. His role as an Electrical Engineer and Designer involved spearheading critical projects such as the South Pars Gas Company Refineries Safety Systems Upgrading Project and the Kish Gas Field Development Project. Throughout his career, he has exhibited a strong commitment to excellence, innovation, and sustainability, contributing significantly to the advancement of the engineering industry in Iran.

 

📚📚📚

 

 

 

 

Hana Catur Wahyuni – Technological Networks – Top Researcher Award

Posted on by Network Science

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📚📚

Zhijun Yao – Brain Network- Best Researcher Award

Posted on by Network Science

Zhijun Yao – Brain network

prof . Zhijun Yao  distinguished academic and researcher in the field Brain Networks. He is a member of the Technical Committeeon Brain Mapping, China Society of Image and Graphics, a member of the Medical Neuroengineering Branch, Chinese Society of Biomedical Engineering, and a member of the 7th Youth Committee of Sichuan Mental Health. Additionally, he serves aneditorial board member of the journal Software, and Journal of Alzheimer’s Disease. Prof. Yao’s work has been published in several journals, including NeuroImage, CNSNeuroscience & Therapeutics, Journal of Affective Disorders, etc. To date, he has published more than 60 SCI papers and has been granted 3 national invention patents.

🌐 Professional Profiles

Educations: 📚🎓

Zhijun Yao received Ph.D. degree fromLanzhouUniversity in 2011. Currently, he is working as a Professor
and Doctoral Supervisor of School of Information Scienceand Engineering in Lanzhou University. Engaging in brainscience and artificial intelligence, he dedicates to modelingthe brain based on complexity science, developing novel computational methods andpattern recognition algorithms for brain connectomics, and constructing keybiomarker mining models to contribute to computer-aided diagnosis and abnormal
pattern recognition of clinical diseases.

Research Fields:

Medical Image Analysis, Ubiquitous Affective Computing, DataMining, Machine Learning

 

 📚Top Noted Publication

Changheun Hyun Oh – Medical Image Reconstruction- Best Researcher Award

Posted on by Network Science

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

 

 

Damon Centola – Networks- Best Researcher Award

Posted on by Network Science

Prof. Damon Centola a distinguished academic and researcher in the field of Collective Intelligence .His academic journey began with a Bachelor’s degree in Philosophy/Logic, where he graduated summa cum laude from Marlboro College in 1997. This rich educational background reflects his dedication to intellectual pursuits and lays the foundation for his contributions to the field of sociology.

Eduvation

He earned his educational credentials in the field of sociology, culminating in a Ph.D. from Cornell University in 2006. Prior to this, he completed his Master’s in Sociology at Cornell University in 2004, showcasing a commitment to advancing his expertise in the subject. His academic journey began with a Bachelor’s degree in Philosophy/Logic, where he graduated summa cum laude from Marlboro College in 1997. This rich educational background reflects his dedication to intellectual pursuits and lays the foundation for his contributions to the field of sociology.

 

Professional Profiles:

Appointments
He holds a distinguished series of appointments, currently serving as the Elihu Katz Professor of Communication, Sociology, and Engineering at the University of Pennsylvania since 2021. Prior to this role, he held the position of Professor of Communication at the Annenberg School for Communication, concurrently serving as Professor of Engineering (secondary) in the School of Engineering and Applied Sciences, and Professor of Sociology (secondary) in the School of Arts and Sciences at the University of Pennsylvania from 2019 to 2021.
In 2019, he assumed the role of Senior Fellow at the Penn LDI Center for Health Incentives and Behavioral Economics, and became a faculty member at both the Penn Population Studies Center and the Penn Master of Behavioral and Decision Sciences Program. Since 2013, he has been a faculty member at the Penn Warren Center for Network and Data Sciences, concurrently directing the Network Dynamics Group. His academic journey includes serving as an Associate Professor at the Annenberg School for Communication and the School of Engineering and Applied Sciences at the University of Pennsylvania from 2013 to 2019. Prior to joining the University of Pennsylvania, he was an Assistant Professor at the MIT Sloan School of Management from 2008 to 2013. Notably, in 2006-08, he held the prestigious position of Robert Wood Johnson Scholar in Health Policy at Harvard University, and in 2001-02, he was a Visiting Scholar at The Brookings Institution.

Research

Social Change, Diffusion of Innovations and Ideas, Simple and Complex Contagions, Structural
Inequality, Medical Bias, Collective Intelligence, Social Epidemiology, Collective Action and
Social Movements, Sustainability and Climate Change, Cultural Evolution and Norms, Social
Networks, Centrality and Influence, Online Experimental Methods, Computational Social Science

Awards and Fellowships

He has amassed a plethora of accolades and honors throughout his illustrious career. In 2019, he earned the prestigious Harrison White Outstanding Book Award from the American Sociological Association and was honored with the Top Paper Award in Health Communication by the International Communication Association. His notable contributions were further underscored by the receipt of the Best Paper Award at the 2018 International Conference on Computational Social Science and the James Coleman Award for Outstanding Article from the American Sociological Association in 2017. The year 2016 brought the distinction of being named a Wharton Mack Institute Fellow. Over the academic year 2014-15, he held fellowships at both the Center for Advanced Study in the Behavioral Sciences at Stanford University and the Lenore Annenberg and Wallis Annenberg Endowment for Communication.

A significant highlight in 2014 was the award of U.S. Patent #8713143, recognizing his innovative method of creating social networks to facilitate behavior change. His impact also extends into the scientific realm, demonstrated by his participation in the Kavli Frontiers of Science program by the National Academy of Sciences in 2012. Early in his career, he was honored with the Leo Goodman Early Career Award in Sociological Methodology in 2011 and received the Award for Outstanding Article in Mathematical Sociology from the American Sociological Association in 2011, 2009, and 2006.

In 2010, he was recognized with the MIT Faculty Prize for Research in Computers and Communications. Additional accolades include the Award for Outstanding Article in Mathematical Sociology from the American Sociological Association in 2009 and 2006. His academic journey features prestigious fellowships, including the Columbia University Exchange Scholar Fellowship in 2004, NSF EITM Summer Fellowship in 2004, Cornell University Russell Sage Fellowship in 2002, NSF IGERT Fellowship in Non-linear Dynamics and Chaos in 2002, and the Santa Fe Institute Summer Fellowship in 2000.

Books
Centola, Damon. (expected 2024) Structural Intelligence. Cambridge, MA: MIT Press.
Centola, Damon. 2021. Change: How to Make Big Things Happen. New York: Little, Brown & Co.
• Translations into Chinese, Romanian, Korean, Russian, Dutch, Thai, Japanese, Italian, Turkish,
Portuguese (Brazil)
• Selected Reviews & Coverage: Nature, New York Journal of Books, The New York Times, NPR
Hidden Brain, Radio Times, Inside Higher Ed, Annual Reviews, The Current, Ottawa Writers Festival,
ABC Australia, Times of India
Centola, Damon. 2018. How Behavior Spreads: The Science of Complex Contagions. Princeton, NJ:
Princeton University Press.
• 2019 Harrison White Outstanding Book Award, American Sociological Association
• Translations into Chinese, Arabic, Polish
• Selected Reviews & Coverage: Science, The Journal of Mathematical Sociology, Information,
Communication & Society, New Scientist, MIT Sloan Management Review, Strategy + Business, The
American Interest, American Journal of Sociology, Contemporary Sociology
Selected Conference and Working Group Presentations
Complex Centrality and Predicting Influence,” ASA Regular Session, August 2023.
“Social tipping points for unprecedented change,” EU Learn, Knowledge Talks on Tipping Points,
threats and opportunities, June 2022.
“Reduction of race and gender bias in recommendations for clinical treatment using a clinician peer
network based intervention in experimental setting,” Annual ICA Conference, May 2022.
“Influencers and Misinformation,” DARPA Studying Long-Tailed Influencer-Enabled Crowd
Extremism, October 2021
Publication