Sulyman Abdulkareem – Network Intrusion Detection – Best Researcher Award

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Sulyman Abdulkareem – Network Intrusion Detection – Best Researcher Award

Assoc Prof Dr. Sulyman Abdulkareem  distinguished academic and researcher in the field Network Intrusion Detection. He is a performance-driven Project Manager with an extensive academic background in Management and Information Systems and over 10 years of experience managing cross-functional teams to drive cost-effective technology solutions and execute key business projects in a technical environment. He has a proven ability to effectively manage knowledge, communicate, collaborate, and coordinate core IT functions, third parties, and vendors on initiatives to ensure project integration and alignment with overall requirements, security, compliance, standards, and quality assurance. Adept at managing all aspects of solution delivery, he excels in research, analysis, scope definition, resource planning and allocation, budget management, document development, status reporting, risk management, and change control.

🌐 Professional Profile

Educations📚📚📚

He holds a Doctor of Philosophy in Information and Communication Systems from the University of Surrey and a Master of Science in Management Information Systems with Distinction from Coventry University. Additionally, he has earned several professional certifications, including PRINCE 2 Foundation, CMI Level 7 in Professional Consulting, CMI Level 7 in Strategic Management and Leadership, and a certification in Security Policy Development.

 

PROFESSIONAL EXPERIENCE

Since October 2019, he has been serving as a Project Manager at IMBIL Consultancy Services Limited in London. In this role, he implemented a new Case Management System (CMS) tailored to the department’s specific needs, leading to a 40% increase in workflow efficiency and overall productivity of the legal department. He oversaw the development and implementation of a comprehensive enterprise resource planning (ERP) system for a major client, coordinating cross-functional teams, managing timelines and budgets, and ensuring the project met all specified requirements. He led the integration of a machine learning model into a client solution to predict customer behavior for e-commerce activities, enhancing business intelligence and personalized marketing strategies. Additionally, he implemented a data security system for a financial client in compliance with GDPR, ensuring all project activities adhered to relevant industry standards. He conducted daily stand-ups, regular project retrospectives, and feedback sessions, identifying areas for improvement and implementing process optimizations. By refining development processes, improving communication within the project team, and adopting new tools, he enhanced team efficiency and project quality. He standardized the filing system and promoted the use of cloud documentation and storage via SharePoint. Efficiently organizing and coordinating meetings with stakeholders, he scheduled, sent out invitations, prepared meeting agendas, took minutes, and distributed them promptly to ensure clear communication and accountability. He successfully optimized project processes by conducting gap analysis, gathering data on current processes, identifying associated KPIs, and redesigning these processes to improve alignment with desired outcomes, achieving a 65% improvement in these processes.

 

Doctoral Researcher –University of Surrey

He coordinated the DEDICAT 6G project in collaboration with industry giants like Airbus, Nokia, and Orange under the EU’s Horizon 2020 program, securing over €6 million in funding to enhance network efficiency and security. He led the design and implementation of an advanced Network Intrusion Detection Classifier for IoT networks, achieving superior efficiency and effectiveness compared to existing solutions. His groundbreaking research efforts culminated in the publication of a paper titled “IoT Network Intrusion Detection with Ensemble Learners,” detailing the development and success of an innovative network intrusion detection classifier. He collaborated effectively with project team members and security consultants at Mafic Ltd, contributing significantly to the successful completion of IoT solutions by documenting crucial research findings. He demonstrated proficiency in stakeholder management, and agile, waterfall, lean, PRINCE 2, SAFe, and SDLC methodologies. His expertise spans service management, risk and business analysis, process optimization, planning and budgeting, user acceptance testing (UAT), system administration, change management, requirements analysis, and documentation and reporting. He secured smooth laboratory operations and maintained up-to-date standardized operating procedures, resulting in a remarkable 90% success rate in meeting project deadlines. His planning and organizational skills ensured smooth operations by designing a comprehensive weekly schedule, maximizing productivity and efficiency.

As a lecturer at the University of Ilorin from February 2018 to September 2019, he collaborated with a software firm to develop new cybersecurity protocols, providing students with practical experience and creating innovative solutions that benefited the company. He established numerous partnerships with tech companies to collaborate on applied research projects. He led a pioneering research project on renewable energy technologies, engaging undergraduate and graduate students, yielding sustainable energy solutions and publishable research findings that significantly advanced the academic community’s understanding and the industry’s capabilities. He led annual research conferences and regular workshops at the university, where students and faculty could present their project findings, focusing on trending topics such as AI and inviting industry experts to provide networking opportunities for students. He supervised undergraduate projects, guiding more than 20 students through their research endeavors, achieving a remarkable 100% pass rate and witnessing a notable 20% increase in student engagement and active participation in various research and development initiatives. He successfully managed undergraduate class assignments and assessments, resulting in a high 95% completion rate and a notable 15% grade improvement by implementing strategies such as ensuring 95% lecture attendance and enhancing lecture materials, which reduced failure rates by 5% and fostered increased student engagement.

IT Project Manager

• Successfully led the Lifestalia Loan app project delivery within budget and ahead of schedule; Partnered with Apple and Google to deploy
on the App Store and Google Play store. Collaborated with cross-functional teams to uphold the Agile methodology in delivering this project,
resulting in a 30% improvement in project delivery time and a 15% increase in team productivity.
• Implemented UX enhancements based on findings, conducted comprehensive user research and analysis, and identified pain points and
areas for improvement within the app interface. Achieved a 25% increase in user satisfaction and a 20% decrease in user churn rate.
• Collaborated with the Power BI team to create real-time dashboards accessible to cross-functional teams, providing actionable insights into
current user trends, app usage metrics, and the impact of new and already-existing processes, improving decision-making by 60%.
• Effectively managed a high caseload of tasks while maintaining standards and adhering to established protocols. Prioritised tasks based on
urgency, efficiently allocating time and resources to assist clients and attend to other essential duties.
• Responsible for developing and maintaining project documentation. Utilised Trello, Jira, SharePoint, MS Project, and Visio in managing
multiple projects simultaneously within tight deadlines, ensuring seamless communication among stakeholders by preparing project status
& progress reports. Oversaw project timelines, budget tracking, and risk management to ensure the timely delivery of high-quality solutions
that meet client expectations and drive business growth.
• Oversaw transitioning on-premises servers, applications, and data to cloud-based platforms, AWS specifically. Elicited and documented
requirements for the change and developed UAT scripts and comprehensive migration steps.
• Established a robust risk management framework using the RAID log to identify, assess, and mitigate risks across project operations.
Conducted risk assessments, developed risk registers, and implemented risk mitigation strategies, resulting in a proactive approach to risk
management and a 15% reduction in compliance-related incidents.
• Prepared business and financial cases that contained forecasts, methods, assumptions, adopted metrics and sensitive analysis to help
management and other stakeholders make informed decisions before, during, and after any project.

📝🔬Publications📝🔬

Gan Xu – Artificial Intelligence – Best Researcher Award

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Gan Xu – Artificial Intelligence – Best Researcher Award

Mr. Gan Xu distinguished academic and researcher in the field Artificial Intelligence.

🌐 Professional Profile

Educations📚📚📚

He is currently pursuing a Ph.D. in Finance at the Capital University of Economics and Business in Beijing, China, since September 2021. Prior to this, he completed his Master’s in Finance from Beijing Union University, Beijing, China, graduating in June 2021. His academic journey began with a Bachelor’s degree in Biotechnology, which he obtained from Guilin Medical University, Guilin, Guangxi, China, in June 2010.

Research Experience

He participated in the Project of the National Social Science Foundation of China, focusing on the “Research on Level Measurement, Spatial and Temporal Divergence, and Improvement Path of Rural Financial Services for Rural Revitalization” (19BJY158), where he was mainly responsible for the research design of some sub-topics and participated in enterprise research. Additionally, he contributed to the Key Topic of the China Mobile Communication Federation on the “Research on the Application of Blockchain Technology in Finance” (CMCA2018ZD01), taking charge of the research design of certain sub-topics and writing research reports. Furthermore, he was involved in the research project on “Financial Support for Deepening Financial Services for Private and Micro and Small Enterprises” as part of the Comprehensive Reform Pilot City Project in Jincheng City, Shanxi Province, where he was responsible for independently participating in application writing.

Social Experience

He has co-authored several significant publications, including “Financial Density of Village Banks and Income Growth of Rural Residents” with Yang, G.Z., Xu, G., Zhang, Y., and others, published in Economic Issues in 2021. Additionally, he contributed to “Knowledge Mapping Analysis of Seven Decades of Rural Finance Research in China” with Zhang, F., Xu, G., Zhang, X.Y., and Cheng, X., which appeared in Rural Finance Research in 2020. He also co-authored “A Review of Blockchain Applications in the Financial Sector” with Zhang, F. and Cheng, X., published in Technology for Development in 2019.

Honors

  • Received Beijing Outstanding Graduates in 2020
  • Outstanding graduate of Beijing Union University in 2020
  • First Prize of Excellent Paper in the First Annual Meeting of the Financial Technology Professional Committee of the China Society for Technology Economics, 2019
  • Second Prize of Excellent Paper in the 13th China Rural Finance Development Forum, 2019
  • Second Prize of Excellent Paper of the 9th Annual Conference of China Regional Finance and Xiongnu Financial Technology Forum, 2019

📝🔬Publications📝🔬

Nagesh Dewangan – Interpretation Analysis of Deep Learning Models-Best Researcher Award

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Nagesh Dewangan – Interpretation Analysis of Deep Learning Models-Best Researcher Award

Mr. Nagesh Dewangan distinguished academic and researcher in the field Interpretation Analysis of Deep Learning Models. As a dedicated researcher in the field of machinery condition monitoring, his work has focused on advancing knowledge in activity monitoring and fault diagnosis for heavy machinery using deep learning models. His research has led to several key advancements, particularly in the areas of machinery activity recognition and motor fault diagnosis. He has worked on projects focusing on the cycle time of dumper activities and real-time fault diagnosis of motors using acceleration signals. The studies were conducted in both laboratory and real environments, providing comprehensive data for robust analyses. His work has resulted in the development of innovative methodologies and technologies. He has contributed to the creation of new algorithms for activity recognition using convolutional neural networks (CNNs) and developed approaches to enhance the generalizability of models across different environments. Collaborations with institutions like CSIR-Central Institute of Mining and Fuel Research Dhanbad, India, and industry partners like Coal India Limited, India, have enriched his research.

 

🌐 Professional Profile

Educations📚📚📚

He is currently a Ph.D. research scholar in the Acoustics and Condition Monitoring Laboratory, Mechanical Engineering Department, Indian Institute of Technology Kharagpur, India. He received his B.E. degree in Mechanical Engineering from the Bhilai Institute of Technology Durg, India, in 2016, and his M.Tech. degree in Maintenance Engineering & Tribology from the Indian Institute of Technology Dhanbad, India, in 2019. His research interests are in the areas of Mining Machinery, Condition Monitoring, Signal Processing, Fault Diagnosis, Real-time Application, Internet of Things, Machine Learning, and Deep Learning for industry-oriented Product Design and Development. Throughout his academic career, he has been involved in numerous research projects focused on improving machinery efficiency and safety, particularly in the mining industry. His recent work includes analyzing the cycle time of dump truck activities, fuel consumption, and implementing Convolutional Neural Networks for activity recognition.

Experience

He has published a paper in the reputed journal Automation in Construction, where he critically evaluates existing methods and proposes innovative solutions. Additionally, he has co-authored two papers in reputed journals, such as Engineering Transactions and the International Journal of Chemical Engineering. He has also presented his work at various prestigious conferences, such as the International Conference on Mechanical Power Transmission 2019 (IIT Madras), 17th International Conference on Vibration Engineering and Technology of Machinery 2022 (Institute of Engineering, Nepal), National Conference on Condition Monitoring 2023 (NSTL, Visakhapatnam), and World Congress on Engineering Asset Management (RMIT University, Vietnam), sharing his findings and insights with the academic and professional community. For his research work, he predominantly uses MATLAB, Python, LabVIEW, and NI Multisim.

 

📝🔬Publications📝🔬

Hedieh Sajedi – Machine learning – Best Researcher Award

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Hedieh Sajedi – Machine learning – Best Researcher Award

Dr. Hedieh Sajedi  distinguished academic and researcher in the field Machine learning.  Her research interests encompass a wide range of advanced topics, including deep learning and machine learning, where she delves into the development and refinement of algorithms that enable computers to learn from and make decisions based on data. She is also deeply involved in multimedia processing, exploring techniques to enhance and manipulate various forms of media, such as images, videos, and audio. Additionally, her work in data mining and information retrieval focuses on extracting meaningful patterns and insights from large datasets, improving the efficiency and accuracy of information retrieval systems. Furthermore, she investigates bio-inspired algorithms, drawing inspiration from natural processes to create innovative computational methods that solve complex problems.

🌐 Professional Profile

Educations📚📚📚

She completed her Ph.D. in Artificial Intelligence and Robotics at Sharif University of Technology in May 2010, following her M.Sc. in the same field from the same institution, which she earned in August 2005. Prior to her postgraduate studies, she obtained her B.Sc. in Computer Software Engineering from Amir Kabir University of Technology in September 2002.

Work Experience:

She has delivered several invited talks on various topics, including “Computer vision and machine learning for medical image analysis” at the Children’s International Research Center in Washington DC, USA, in July 2022, and “Age Prediction based on brain MRI images” at Pompeu Fabra University in Barcelona, Spain, in June 2022. Additionally, she discussed a “Blind Spot Warning System based on Vehicle Analysis in Stream Images” at the same university and “Brain Age Estimation based on Brain MRI Images” at Sehir University of Istanbul, Turkey, in March 2018. Earlier, in March 2014, she presented on the “Application of Steganography and Steganalysis Methods in Medical and Healthcare Systems” at the University of Pavia, Italy. Her executive activities include serving as the Scientific Chair of the International Conference on Pattern Recognition and Image Analysis (IPRIA) in 2023, head of the Computer Science Department from 2018 to 2022, and Scientific Chair of the 6th International Conference on Pattern Recognition and Image Analysis at the University of Tehran in 2022. She also held the position of Head of Computer Services and Information Technology in the College of Science from 2018 to 2020 and served as Inspector of the Image Processing and Machine Vision Society in Tehran, Iran, in 2015 and 2017. Her funded projects include research on the “Detection and Classification of Circular Objects on the Basis of Convolutional Neural Network (CNN)” funded by the Iran National Science Foundation (INSF) from 2021 to the present, “Investigating Brain Health from Brain MRI Images Using Machine Learning Methods,” partially funded by the Institute for Research in Fundamental Sciences (IPM) from 2018 to 2019, “Brain Age Estimation with Mathematical Modeling” funded by INSF from 2017 to 2018, and the development of “A High-Security and High-Capacity Steganography System” funded by INSF from 2011 to 2014.

Honors & Awards

She was recognized as a member of the University of Tehran Top Researchers Club in 2022 and received the Erasmus Mobility Award from the European Union in the same year. Additionally, she was honored with the Honors Program Graduate Award from Sharif University of Technology for the period from 2006 to 2010. Since 2009, she has been an active member of the Scientific Society for Image Processing and Machine Vision.

She has been an instructor at the University of Tehran since 2013, teaching courses such as “Machine Learning,” “Artificial Intelligence,” “Data Mining,” and “Digital Image Processing” in the Department of Computer Science. She has also instructed “Advanced Topics in Artificial Intelligence” since 2020 and “Advanced Information Retrieval” from 2017 to 2020. Additionally, she taught “Advances in AI” from 2013 to 2020 and “Machine Learning in Physics” from 2018 to 2019. Her teaching portfolio includes courses for Ph.D. students at the Institute of Biochemistry and Biophysics, such as “Advanced Data Structure” in 2018-2019. At AmirKabir University of Technology, she instructed “Machine Learning” from 2010 to 2011 and “Artificial Intelligence” in 2010-2011. She also co-instructed “Machine Vision” at Pompeu Fabra University in Barcelona, Spain, in May 2022. Her experience in bio-inspired computing includes teaching “Evolutionary Computing” at the University of Tehran from 2013 to 2016.

Furthermore, she has taught “Distributed Systems” at Azad University, Qazvin, from 2011 to 2013, and courses such as “Computer Networks,” “Compiler Design and Principles,” and “Introduction to Programming” at the University of Tehran. She also taught “Operating Systems,” “Introduction to Programming,” and other foundational courses at Tarbiat Moallem University from 2006 to 2008. Her early teaching roles include instructing “Introduction to Programming” at Sharif University of Technology in 2006-2007 and several technical and scientific presentation courses at AmirKabir University of Technology from 2009 to 2011.

📝🔬Publications📝🔬

Micheal Olaolu Arowolo – Artificial intelligence – Excellence in Innovation

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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📝🔬

Wei Zhang – Digital algorithms – Best Researcher Award

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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📝🔬

Mohsen Rasoulivalajoozi- Graph Partitioning – Best Researcher Award

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Mohsen Rasoulivalajoozi- Graph Partitioning – Best Researcher Award

Dr. Mohsen Rasoulivalajoozi  distinguished academic and researcher in the field Graph Partitioning. He is interested in projects contributing to well-being (e.g., technology-enabled interventions for destigmatizing assistive products), improving spatial experiences in hospitals, and developing tools and methods for researching behavioral factors in the contexts of Medical Design, healthcare, and everyday life.

Mohsen has served as a reviewer for several journals (e.g., Cogent Medicine, Cogent Education, Cogent Psychology, and Cogent Social Science) and conferences (e.g., IEEE ISTAS21 Conference). He has experience working with designers, and educational practitioners and collaborated with researchers in Canada, Europe, and Iran.

🌐 Professional Profiles

Educations📚📚📚

Mohsen Rasoulivalajoozi is currently a doctoral researcher working on Health Design Thinking for medical and assistive products at the Department of Individualized Program (INDI), Concordia University, Canada. Mohsen received his bachelor’s degree in Visual Communication from the Art University of Tehran, Iran, in 2010. He received a master’s degree in Industrial Design from the University of Tehran (UT) in 2013. He worked as a lecturer at Art University and the University of Tehran between 2014 and 2017. Also, He collaborated as an Editor (In the area of Ergonomics) with Cambridge Scholar Publishing- Oxford-the UK (2016-2020). From 2019 to 2021, he collaborated with the industrial design department at Eindhoven University of Technology (TU/e), the Netherlands. In 2020, Mohsen was granted the Excellence Doctoral Fellowship Award from Concordia University.

Conference publications

He has contributed significantly to the field of technology and management through his conference publications. In 2020, Kheyrkhahan and Rasoulivalajoozi presented their research on the development of Smart Glasses Frame (SGF) tailored for the visually impaired, focusing particularly on environment perception and depth detection. This was showcased at the International Conference on Emerging in Engineering, Science, and Technology in Istanbul, Turkey. Additionally, in 2019, Rasoulivalajoozi, along with Zangi and Razavi, investigated the impact of visual elements on consumer behavior across different age demographics, with a specific case study conducted in Iran. Their findings were shared at the 6th International Conference on Research in Management, Economics, and Development held in Tbilisi, Georgia. These publications demonstrate his commitment to advancing knowledge and addressing practical challenges in various domains

ORAL COMMUNICATION & WORKSHOP PRESENTATION

He has been actively engaged in sharing his expertise and research insights across various platforms and institutions. In April 2023, Rasoulivalajoozi presented his study titled “Unintended Behaviors in Using Mobility Aids” at the 4th Space, INDI Research Day hosted by Concordia University. Earlier in February 2023, he discussed “The role of research methodology in medical design” at Bu-Ali Sina University, Faculty of Design, emphasizing the significance of methodological approaches in the field. His contributions extend to the domain of healthcare system design, as evidenced by his presentation on “Design Principles for Health Care System and Service” at Concordia University in October 2020. Furthermore, he has been involved in enhancing sports equipment and devices through optimization and new product development, as demonstrated by his talk at the University of Tehran (UT), Faculty of Physical Education & Sport Science in February 2016. Rasoulivalajoozi’s commitment to knowledge dissemination is evident from his earlier engagements such as his presentation on “The Research Methods for Medicine Sports Products” at UT in February 2015 and his efforts in preparing students for the National Olympiad Examination. These endeavors highlight his multidisciplinary approach and dedication to advancing research and education in various fields.

RESEARCH PROJECT PARTICIPATION

He has actively participated in several research projects, contributing his expertise and insights to various fields. Currently, he is engaged as a Research Assistant in a project titled “Public Practice Art Therapy: COVID Response,” led by Janis Timm-Bottos and sponsored by Fond de recherche du Quebec, since January 2023. Additionally, he is involved in another project led by Janis Timm-Bottos, focusing on the “Relevance, Originality, Added Value, and Feasibility of the Living Lab Approach,” also sponsored by Fond de recherche du Quebec, from January 2023 onwards.

His earlier research endeavors include collaborative projects such as the design of a Chest Muscle Rehabilitation Instrument aimed at enhancing user performance, conducted at the University of Tehran’s Faculty of Industrial Design from February 2012 to September 2013. Furthermore, he contributed to the development of a Body Design for an Infusion Pump targeting the rehabilitation of chest muscles, in collaboration with Razavi and Faraji at the University of Tehran from February 2012 to September 2012. Prior to that, he was involved in designing a device to prevent driver’s awareness lapses at Amir Kabir University of Technology from November 2011 to March 2012. These projects underscore his dedication to research and innovation across diverse domains, showcasing his multidisciplinary approach and commitment to addressing practical challenges.

MEMBERSHIPS

He has been actively engaged in various professional memberships and roles, showcasing his commitment to advancing research and innovation across multiple domains. Currently, he is a scientific member of the International Behavioural Trials Network (IBTN)-Summer School, led by Simon L. Bacon in Montreal, Canada, from November 2023 to June 2024. Additionally, he serves as a Program Committee Member for the IEEE International Symposium on Technology and Society (ISTAS) in 2021, allowing him to review numerous papers in the medical design field and health technologies with a focus on ethics and sociology.

He is also affiliated with the IDEAS BE Research Lab at Concordia University in Canada, supervised by Dr. Carmela Cucuzzella, since 2021. Furthermore, he has contributed as a Guest Researcher and Designer at the Industrial Design Lab at Eindhoven University of Technology, collaborating with experts in the Netherlands from March 2019 to September 2020. His editorial involvement includes serving as an Editorial Advisor at Cambridge Scholar Publishing in the United Kingdom, focusing on Ergonomics Books from March 2018 to December 2020.

Moreover, he has held positions as a Co-Reviewer for various academic journals, including Cogent Social Sciences, Cogent Medicine, and Cogent Psychology, contributing his expertise to scholarly peer review processes. He was also a member of the Industrial Designers Society of America (IDSA) from 2013 until 2019, emphasizing his active participation in professional communities. Additionally, he served as an Editorial Advisor for Recent Patents on Food, Nutrition & Agriculture from April 2018 to 2019, contributing to advancements in agricultural sciences. These diverse memberships and roles underscore his dedication to interdisciplinary collaboration and scholarly contributions across multiple fields.

AWARDS AND HONORS 

He has received several notable awards and honors throughout his academic and professional career, highlighting his exceptional achievements and contributions. In 2015, he was honored as an Annual Selected visiting lecturer at the University of Pars Architecture and Art, recognizing his expertise and influence in the field. His dedication to academic excellence was further recognized in 2013 when he received the Best Master’s Degree Thesis award from the Department of Industrial Design at the University of Tehran in Iran, underscoring his significant scholarly contributions.

His outstanding performance in academic examinations is evidenced by his impressive rankings. In 2005, he achieved a remarkable feat by securing the 194th position out of 119,000 participants in the National Entrance Exam for B.A. degree in Iran, demonstrating his academic prowess and dedication to excellence. Additionally, his innovative work has been acknowledged internationally, as evidenced by his recognition as a Semi-finalist in the IF World Competition in 2014. The project titled “Design of an IFO (Interactive Foot Orthosis)” emerged from his master’s thesis project, reflecting his ability to merge academic rigor with practical innovation.

Moreover, he has excelled in national competitions, further solidifying his reputation as a top talent in his field. In 2010, he ranked 4th among all Iranian industrial design students in the National Competition of Olympiad in Industrial Design Discipline, showcasing his creativity and proficiency. Similarly, in the same year, he secured the 7th position out of 14,000 participants in the National Entrance Exam for MA degree in Iran, reaffirming his academic excellence and aptitude. These accolades collectively highlight his remarkable achievements and underscore his status as a distinguished scholar and innovator in the field of industrial design.

📝🔬Publications📝🔬

Serena Doria – Technological Networks – Women Researcher Award

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Serena Doria – Technological Networks – Women Researcher Award

Assoc Prof Dr. Serena Doria distinguished academic and researcher in the field Technological Networks. She was responsible for the Ud’A Scienza Project financed under the Call for Scientific Dissemination PANN2020 – Annual Contributions Law 113/91 D.D. 1524 of 21/01/2019, promoted by the MUR. The Ud’A Scienza Project was funded for a total of €72,176, ranking ninth with a score of 55/60 out of 71 admitted projects, and it has a duration of 12 months (from 15.12.2021 to 15.12.2022).

🌐 Professional Profiles

Educations📚📚📚

she graduated in Mathematics, with a focus on Applied Probability, from the University of Rome “La Sapienza” on January 29th, 1992. Since November 1st, 2022, she has been an associate professor in the scientific sector MAT 06 – Probability Calculus and Mathematical Statistics. From 1995 to 2022, she worked as a researcher in the scientific sector MAT 06 – Probability Calculus and Mathematical Statistics. Her research interests include coherent conditional forecasts and their extensions, Hausdorff measures and fractal sets, Choquet integral, representation of orderings, equivalences in complex decisions and complex systems, and knowledge representation in Artificial Intelligence.

Conferences

She attended the MTISD’06 Conference on Methods, Models, and Information Technologies to Support Decision Making, held at the University of Naples – L’Orientale, Procida from September 28th to 30th, 2006. She also participated in the MTISD’04 Conference on Methods, Models, and Information Technologies to Support Decision Making, hosted by the Faculty of Economics and Social Sciences, Benevento from June 24th to 26th, 2004. Additionally, she was present at the SIS Intermediate Conference on Process and Statistical Evaluation Methods in Rome from June 4th to 6th, 2001. She took part in the II Conference of the MURST co-financed Research Project on Models for Treating Partial Knowledge in Decision-Making Processes in Lipari, Sicily from July 22nd to 26th, 2000. Moreover, she attended the I Conference of the MURST co-financed Research Project on Models for Treating Partial Knowledge in Decision-Making Processes in Perugia from April 7th to 9th, 1999. She also participated in the Evolution of Mathematics, its Applications, and its Teaching Conference in Numana from June 4th to 10th, 1999, and the National Mathesis Conference in L’Aquila from October 19th to 21st, 1998. She attended the Days of Combinatorial Geometry in Rome on May 29th and 30th, 1997. Lastly, she was present at the Conference on Methods of Representing Uncertainty in Architecture in Pescara from November 27th to 30th, 1997, and the Conference on Uncertainty Analysis in Economic and Territorial Management in Benevento in May.

 

Internationalizations

She served as an editor, alongside Thomas Augustin and Massimo Marinacci, for the Special Issue of the Ninth International Symposium of Imprecise Probability: Theory and Applications – ISIPTA’15, published in the International Journal of Approximate Reasoning, Volume 84, 39-40, in 2015. Additionally, she was an editor, alongside Thomas Augustin, Enrique Miranda, and Erik Queguebeur, for the Proceedings of the Ninth International Symposium of Imprecise Probability: Theory and Applications – ISIPTA’15, published by Arcne Editrice in 2015. She organized the Ninth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA’15) in Pescara from July 20th to 24th, 2015. Furthermore, she organized the Fifth SIPTA Summer School on Imprecise Probability: Theories and Applications in Pescara from July 16th to 20th, 2012. Since 2001, she has been a member of SIPTA (International Society for Imprecise Probability: Theories and Applications). She served on the Executive Committee of SIPTA from July 14th, 2009, to July 24th, 2011. Since April 2008, she has been a reviewer for Mathematical Reviews (MR). She also served on the Program Committee of the International Symposium on Imprecise Probability: Theories and Applications (ISIPTA ’21) in Granada, Spain, from July 6th to 9th, 2021, and the Program Committee of the International Symposium on Imprecise Probability: Theories and Applications (ISIPTA ’19) in Ghent, Belgium, from July 3rd to 6th, 2019.

 

Scientific Activity

She participated in the PRIN 1997 Research Program – Partial Knowledge and Coherent Probability, led by Professor Romano Scozzafava at La Sapienza University. She also participated in the PRIN 1999 Research Program – Mathematical Models for Uncertainty Treatment and Alternative Project Selection in Architecture and Urban Planning, led by Professor Antonio Maturo at G. d’Annunzio University of Chieti-Pescara, with National Scientific Coordination by Professor Romano Scozzafava at La Sapienza University. She served as a reviewer for national projects as a member of REPRISE (the register of scientific experts established at the MIUR) for the following section: Basic Research. Additionally, she acted as a reviewer for scientific articles within the framework of the VQR 2015-2019. She also reviewed scientific articles for the following international journals indexed in Scopus and/or WoS: International Journal of Approximate Reasoning, Information Sciences, International Journal of Information Technology and Decision Making, Fuzzy Sets and Systems, British Journal of Mathematical and Statistical Psychology, Axioms, and Symmetry.

 

📝🔬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.