Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

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Assist Prof Dr. Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

Assist Prof Dr. Ying-Chih Sun at East Central University, United States

👨‍🎓Professional Profiles

📚 Summary

Dr. Ying-Chih Sun is an Assistant Professor of Business Administration – Information Technology Management at East Central University. With a Ph.D. in Information Systems Engineering and Management and a strong academic background in economics, data analytics, and IT management, his research focuses on AI applications in healthcare, telehealth, and supply chain management. He is passionate about integrating business analytics with IT solutions to improve operational efficiencies across industries.

🎓 Education

Dr. Sun holds a Ph.D. in Information Systems Engineering and Management (ISEM) from Harrisburg University of Science and Technology (2023), where he graduated with a perfect 4.0 GPA. He also earned M.S. degrees in Economics from the University at Buffalo (2018) and Texas A&M University (2010), and an M.B.A. in Applied Economics (Summa Cum Laude) from National Taiwan Ocean University (2005). He completed his undergraduate studies in International Trade at Tamkang University (2003).

💼 Professional Experience

Dr. Sun is currently serving as an Assistant Professor at East Central University, teaching courses in Business Economics, Data Analytics, and Cloud Management. Before this, he was an Assistant Professor in Residence at Bradley University (2023-2024), where he contributed to research and teaching in business analytics. He also worked as a Research Assistant at Harrisburg University (2019-2023), conducting research on telehealth and healthcare delivery. Previously, he served as an IT Research Data Analyst at SUNY Buffalo and held roles at the Institute of Economics, Academia Sinica and Tri-Service General Hospital in Taiwan.

📝 Academic Publications & Conferences

Dr. Sun has presented at major conferences like the DSI Conference 2024, AMCIS 2024, and MWAIS 2024. His research papers focus on a range of topics, including telehealth efficiency, AI in healthcare, digital reputation in business schools, and supply chain optimization. His recent work on “Evaluating Telehealth Efficiency” and “Enhancing Judicial Decision-Making with AI” exemplifies his interdisciplinary approach to solving complex business and healthcare challenges.

💻 Technical Skills

Dr. Sun possesses advanced proficiency in data analytics tools like SQL, STATA, and Excel for statistical modeling and large data analysis. He is also familiar with Python and has hands-on experience in cloud management and telehealth technology. His technical skills enable him to approach research from both an analytical and technological perspective, focusing on improving efficiency in healthcare and business operations.

👨‍🏫 Teaching Experience

Dr. Sun has extensive teaching experience, having taught courses at East Central University (2024-present) in Business Economics, Data Analytics, and Cloud Management. He previously taught at Bradley University (2023-2024), covering Business Analytics and Business Analytics Software. Additionally, during his time at SUNY at Buffalo (2015-2018), he served as a Grader and Teaching Assistant for various econometrics courses and contributed to graduate-level teaching in Computational Econometrics.

🔬 Research Interests

Dr. Sun’s primary research interests lie at the intersection of AI, telehealth, and business analytics. He explores how data-driven decision-making can enhance healthcare delivery and operational efficiency, with a focus on telemedicine applications and the use of machine learning for healthcare and business management. His work on optimizing AI investments and supply chain management has important implications for improving cost-effectiveness and decision-making in businesses and healthcare systems.

 

📖 Top Noted Publications

A stochastic production frontier model for evaluating the performance efficiency of artificial intelligence investment worldwide

Authors: Sun, Y.-C., Cosgun, O., Sharman, R., Mulgund, P., Delen, D.
Journal: Decision Analytics Journal
Year: 2024

The impact of policy and technology infrastructure on telehealth utilization

Authors: Sun, Y.-C., Cosgun, O., Sharman, R.
Journal: Health Services Management Research
Year: 2024

The Effect of Varying User Risk Levels on Perceived Social Presence in Mental Health Chatbots

Authors: Thimmanayakanapalya, S.S., Singh, R., Mulgund, P., Sun, Y.-C., Sharman, R.
Conference: 29th Annual Americas Conference on Information Systems (AMCIS 2023)
Year: 2023

Haoyu Chen | Human Behavior Modeling | Young Scientist Award

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Assist Prof Dr. Haoyu Chen | Human Behavior Modeling | Young Scientist Award

Assist Prof Dr. Haoyu Chen at University of Oulu, Finland

👨‍🎓Professional Profile

👨‍🏫 Summary

Assist Prof Dr. Haoyu Chen at the CMVS unit of the University of Oulu, where I also completed my Ph.D. and Master’s in Computer Science. My research focuses on the intersection of emotion AI, computer vision, and machine learning. I am particularly interested in building AI systems that can understand and perceive complex human emotions. My work integrates human cognitive modeling, adversarial learning, and multimodal learning to push the boundaries of how AI can interact with humans in more intuitive and empathetic ways.

🎓 Education

I hold a Ph.D. in Computer Science and Engineering from the University of Oulu, Finland (2022), with distinction (GPA: 4.5). Prior to that, I completed my Master’s degree in Computer Science and Engineering at the same institution in 2017, graduating with excellent marks (GPA: 4.2).

💼 Professional Experience

As an Assistant Professor (03/2022–Present) at the University of Oulu’s CMVS unit, I focus on human emotional and cognitive modeling in AI. I also serve as a Postdoctoral Researcher (03/2022–Present) on Emotion AI and Adversarial Learning projects under the guidance of Prof. Guoying Zhao. In addition, I was a Visiting Researcher at Delft University of Technology in the Learning Science group, where I collaborated with Prof. Marcus Specht (03/2023–06/2023). I also contributed to Computer-Supported Collaborative Learning (CSCL) projects as a technical consultant for NTU Singapore (09/2019–09/2022).

📚 Academic Citations

My research has been featured in top-tier conferences like AAAI, ICCV, BMVC, CVPR, and IJCV, with publications in major journals like TIP, TMM, and TNNLS. My work primarily focuses on emotion recognition, gesture analysis, multimodal learning, and adversarial attacks in AI systems.

💻 Technical Skills

I am proficient in Python, C++, and major deep learning frameworks like TensorFlow and PyTorch. My expertise includes computer vision techniques such as object detection and action recognition, as well as emotion recognition and gesture analysis. I also specialize in machine learning methodologies, including supervised and unsupervised learning and the development of secure AI systems resistant to adversarial attacks.

📚 Teaching Experience

I have served as a Lecturer for courses like Affective Computing (2024 Spring) and Computer Graphics (2024 & 2023 Spring) at the University of Oulu. Additionally, I have been a Teaching Assistant for courses in Affective Computing and Computer Graphics over the years. Beyond the classroom, I organize workshops and challenges such as the MiGA Workshop on micro-gesture analysis (IJCAI 2023 & 2024) and the VIPriors Challenges (ECCV 2020). I also serve as a peer reviewer for conferences and journals like CVPR, AAAI, ECCV, and TMM.

🔬 Research Interests

My research interests lie at the intersection of Emotion AI, Human-AI Interaction, and Adversarial Learning. I explore how AI can recognize and interpret human emotions through gestural analysis and cognitive modeling, aiming to build systems that enhance emotional and cognitive understanding. I am also interested in developing AI models that are both secure and reliable, particularly in defending against adversarial attacks.

 

📖 Top Noted Publications

Sogand Dehghan | social network analysis | Best Innovation Award

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Ms. Sogand Dehghan | social network analysis | Best Innovation Award

Ms. Sogand Dehghan at K. N. Toosi University of Technology, Iran

👨‍🎓Professional Profiles

Orcid Profile

Google Scholar  Profile

👩‍💻 Summary

Ms. Sogand Dehghan an Information Technology specialist with expertise in data analysis and software development. My work primarily focuses on collecting, cleaning, and analyzing data from various sources to create actionable reports and dashboards for organizational decision-making. I am passionate about using data-driven strategies to help businesses achieve their goals, with a particular interest in social media analysis and its alignment with organizational objectives. Additionally, I enjoy developing data-driven software solutions that enhance operational efficiency.

🎓 Education

Ms. Sogand Dehghan earned my Master’s Degree in Information Technology from K.N. Toosi University of Technology (2019-2022) and my Bachelor’s Degree in Information Technology with a grade of 97% from Payame Noor University (2012-2016). My thesis, titled “Provision of an Efficient Model for Evaluation of Social Media Users Using Machine Learning Techniques,” focused on leveraging machine learning to assess social media engagement and user behavior.

💼 Professional Experience

Ms. Sogand Dehghan currently hold two key roles: as an Instructor at National Skills University, where I teach courses on Advanced Programming and Data Analysis (since Sep 2024), and as a Data Analyst at GAM Arak Industry, where I focus on data mining, machine learning, and visualizing data insights using tools like Power BI, Python, SQL Server, and SSRS (since Jan 2024). Additionally, I serve as a Software Developer at GAM Arak Industry, working with C#, ASP.NET Core, and SQL Server to build scalable software solutions (since Apr 2023). In my previous role at Kherad Sanat Arvand (Apr 2022 – Jun 2023), I honed my skills in data analysis and dashboard development.

📚 Academic Citations

My research has been published in prestigious journals. My paper, “The Credibility Assessment of Twitter Users Based on Organizational Objectives,” was published in Computers in Human Behavior (Sep 2024), where I developed a model for assessing the credibility of Twitter users by integrating profile data with academic sources like Google Scholar. Another notable publication, “The Evaluation of Social Media Users’ Credibility in Big Data Life Cycle,” appeared in the Journal of Information and Communication Technology (Sep 2023), in which I reviewed existing frameworks for evaluating social media user credibility.

🔧 Technical Skills

My technical skill set includes expertise in C#, ASP.NET, Python, and SQL Server for software development. I specialize in Data Visualization with Power BI, Data Mining, Machine Learning, and Social Network Analysis. Additionally, I have a solid foundation in Text Mining and Data Modeling, which enables me to provide comprehensive solutions for data-driven challenges in various organizational contexts.

👨‍🏫 Teaching Experience

As an Instructor at National Skills University, I teach Advanced Programming and Data Analysis. I focus on equipping students with the skills needed to thrive in the data-driven world of technology. My approach integrates real-world data problems with theoretical knowledge to help students apply their learning in practical scenarios.

🔍 Research Interests

My research interests lie in the intersection of Machine Learning and Social Network Analysis. I am particularly interested in developing models to evaluate social media user credibility, integrating heterogeneous data sources for organizational decision-making, and exploring the broader implications of big data in evaluating trust and influence within social networks.

 

Shuaa S. Alharbi | Bioimage informatics | Best Researcher Award

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Dr. Shuaa S. Alharbi | Bioimage informatics | Best Researcher Award

Doctorate at Department of Information Technology, College of Computer, Qassim University, Saudi Arabia

👨‍🎓Professional Profiles

Orcid Profile

Scopus Profile

👩‍💻 Summary

Dr. Shuaa S. Alharbi is an Assistant Professor in the Department of Information Technology at the College of Computer, Qassim University, Saudi Arabia. With a strong interdisciplinary background, she specializes in machine learning and image processing, particularly their applications in biomedical fields. Her research focuses on leveraging deep learning techniques to analyze medical images and improve diagnostic accuracy. Dr. Alharbi is dedicated to advancing bioinformatics and medical image analysis using cutting-edge technology.

🎓 Education

Dr. Alharbi holds a Ph.D. in Computer Science from Durham University, UK (2020), and both an M.Sc. and B.Sc. in Computer Science from Qassim University (2007) and King Saud University (2014), respectively. Her academic journey has provided her with a solid foundation in computer science, further augmented by extensive research in machine learning and bioimaging.

💼 Professional Experience

Dr. Alharbi has accumulated years of academic experience. She started as a Teaching Assistant at Qassim University in 2008, then progressed to Lecturer in 2015. Since 2020, she has served as an Assistant Professor at the same institution. Throughout her career, she has mentored students and contributed significantly to the academic environment at Qassim University, particularly in the Information Technology Department.

📝 Academic Committees & Administrative Roles

Dr. Alharbi has been deeply involved in various administrative roles at Qassim University. She served as E-content Supervisor (2020-2022), and currently coordinates the IT Department (2020-present). She is also a Postgraduate Supervisor (2023-present) and has been a Permanent Member of the Standing Committee for Assistance in the Scientific Council since 2023, contributing to the advancement of educational practices and research policies at the university.

🔬 Research Interests

Dr. Alharbi’s research interests are at the intersection of machine learning, image processing, and bioinformatics. She focuses on the application of deep learning for medical image analysis, working to enhance disease detection and diagnostic precision. Her work includes developing novel deep learning architectures and data-driven models to solve complex problems in medical and biological imaging.

🖥️ Technical Skills

Dr. Alharbi is proficient in a range of technical skills, including machine learning and deep learning frameworks, image and signal processing, computer graphics, and bioinformatics. She is experienced with programming languages such as Python, MATLAB, C++, and Java, and is adept at using these tools to solve complex problems in medical image analysis and other interdisciplinary fields.

📚 Teaching Experience

In addition to her research, Dr. Alharbi has taught several graduate-level courses, including Data Science, Computer Graphics, and Health Information Systems. She has also supervised Master’s theses in fields like cybersecurity, blockchain, and medical image processing, contributing to the academic growth of students in the Information Technology and Cybersecurity programs.

🌍 Conferences & Seminars

Dr. Alharbi has presented her work at prestigious international conferences, such as the IEEE BIBM International Conference on Bioinformatics and Biomedicine (Spain) and the Medical Image Computing Summer School at UCL (London). These platforms have allowed her to collaborate with global experts and stay at the forefront of research in bioimaging and machine learning.

💡 Research Grants

Dr. Alharbi was awarded a Coffee Research Grant from the Saudi Ministry of Culture, under the Saudi Heritage Preservation Society, showcasing her active involvement in research funding and promoting innovation in her fields of expertise.

 

📖 Top Noted Publications

Alao Joseph Omeiza | Applied Geophysics | Best Researcher Award

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Dr. Alao Joseph Omeiza | Applied Geophysics | Best Researcher Award

Doctorate at Ahmadu Bello University, Nigeria

👨‍🎓Professional Profiles

👨‍🎓 Summary

Dr. Alao Joseph Omeiza is an accomplished academic and researcher in Applied Geophysics, with a focus on environmental geophysics, groundwater systems, and public health risks associated with pollutants. Currently pursuing a Ph.D. in Applied Geophysics at Ahmadu Bello University (expected December 2024), Dr. Alao combines expertise in geophysical methods and environmental monitoring to explore the implications of landfill leachates and other environmental hazards. His work is highly interdisciplinary, integrating physics, geochemistry, and public health considerations.

🎓 Education

Dr. Alao holds a PhD in Applied Geophysics (awaiting results, expected December 2024) from Ahmadu Bello University, Nigeria. He earned his M.Sc. in Physics from Kaduna State University in 2017 and his B.Sc. in Physics (2nd Class Upper) from Kogi State University in 2012. His early academic foundation includes his secondary education at Ijumu Anglican Science Secondary School and primary education at St. Paul No. 1 Primary School, both in Kogi State.

💼 Professional Experience

Dr. Alao currently serves as a Lecturer I at the Air Force Institute of Technology in Kaduna, Nigeria, where he teaches a variety of geophysics and physics courses such as Applied Geophysics, Environmental Geophysics, and Advanced Physics of Earth Interior. His previous academic roles include teaching at Ahmadu Bello University, Kogi State University, and Kaduna State University. He also has experience as a Part-time Assistant Lecturer and Teacher at various institutions, including Incubator Academy.

🛠️ Technical Skills

Dr. Alao is skilled in several advanced software tools for geophysical analysis and environmental monitoring, including Surfer 11, Oasis Montaj, ArcGIS, and Res 1D & 2D. He is also proficient in MS Office Suite (Word, Excel, PowerPoint) and other research tools that support data analysis and presentation.

👩‍🏫 Teaching Experience

With years of teaching experience, Dr. Alao has instructed undergraduate and postgraduate students in subjects such as Geochemistry, Environmental Geophysics, and Thermal Physics. His teaching experience spans multiple institutions, including the Air Force Institute of Technology, Ahmadu Bello University, and Kogi State University, where he has delivered both practical and theoretical courses in physics and geophysics.

🔬 Research Interests

Dr. Alao’s primary research interests lie in Environmental Geophysics, with a particular focus on landfill leachate monitoring, groundwater geophysics, and the public health risks related to pollutants. He is also passionate about developing geophysical techniques for environmental resource management and exploring geotechnical parameters for sustainable urban development.

🏅 Awards and Recognition

Dr. Alao’s research and contributions to the academic community have been recognized with multiple awards, including the 2nd Prize in Public Health and Environment Paper Prize (2024) and the 2nd Best Researcher Award at the Air Force Institute of Technology (2024).

 

📖 Top Noted Publications

nader tarabeih | Healthcare Data Analysis | Best Researcher Award

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Dr. nader tarabeih | Healthcare Data Analysis | Best Researcher Award

Dr. nader tarabeih at Ariel University, Israel

👨‍🎓Professional Profile

👨‍🔬 Summary

Dr. Nader Tarabeih is a dedicated researcher and clinician with a focus on genetic epidemiology and musculoskeletal disorders. Currently a postdoctoral researcher at Ariel University, his work centers on understanding inflammation-related biomarkers and their role in spinal pain. With a solid background in nursing, Dr. Tarabeih transitioned to academic research, publishing impactful studies on low back pain, metabolic factors, and their genetic causes.

🎓 Education

Dr. Tarabeih’s educational journey reflects his deep commitment to advancing medical research. He is currently pursuing a Post-doctoral position in Morphological Studies at the Adelson School of Medicine, Ariel University (2023 – Present). Previously, he completed his PhD in Genetic Epidemiology at Tel Aviv University (2018 – 2022), focusing on how blood biochemical factors and body composition affect spinal pain in complex Arab pedigrees. His MSc (2013 – 2016) also at Tel Aviv University examined genetic, demographic, and body composition risk factors for low back pain. Additionally, he holds a BA in Nursing from Tel Aviv University (2006 – 2010).

💼 Professional Experience

Dr. Tarabeih has gained extensive clinical and leadership experience in the healthcare field. He served as Director of Quality and Safety at the Maale HaCarmel Mental Health Center in Haifa, Israel (2020 – 2023). Prior to this, he worked as a Nurse at the same institution (2013 – 2020), where he applied his clinical expertise in a variety of settings, contributing to patient care and safety.

🔧 Technical Skills

Dr. Tarabeih brings a broad set of skills to his research and clinical practice. He is proficient in Genetic Epidemiology, specializing in the analysis of complex pedigrees and genetic risk factors for musculoskeletal disorders. His expertise extends to Biomarker Discovery, where he investigates biomarkers to improve the understanding and management of spinal pain. Additionally, he is skilled in Data Analysis and Clinical Research, focusing on inflammation, metabolic health, and spinal disorders.

👩‍🏫 Teaching Experience

Dr. Tarabeih has been an active contributor to academic discussions and has presented his research at several notable conferences. In 2022, he spoke on systemic biomarkers in degenerative lumbar spinal disorders at the Post-Genome Analysis for Musculoskeletal Biology Conference in Tzfat, Israel. He also presented on low back pain and its genetic and biochemical factors at the International Conference on Spine Disorders in Dubai, UAE (2020), and contributed a poster on genetic risk factors for low back pain at the BIRAX Ageing Conference in London, UK (2018).

🔬 Research Interests

Dr. Tarabeih’s research is driven by a passion for understanding the genetic and environmental causes of musculoskeletal disorders. His primary interests lie in Genetic Epidemiology, particularly in how genetic and lifestyle factors contribute to spinal pain. He is also dedicated to identifying biomarkers for pain-related disabilities and exploring the impact of inflammation and metabolism on musculoskeletal health in diverse populations.

 

📖 Top Noted Publications

Tian-yu Zhang | Smart Cities and Urban Analytics | Best Researcher Award

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Dr. Tian-yu Zhang | Smart Cities and Urban Analytics | Best Researcher Award

Dr. Tian-yu Zhang at Beijing Jiaotong University, China

👨‍🎓Professional Profiles

🧑‍🔬 Summary

Dr. Tian-yu Zhang  PhD candidate in Transportation Planning and Management at Beijing Jiaotong University, focusing on the integration of transportation, energy, and economics. My research aims to develop synergistic systems that optimize the efficiency of electrified transportation networks, reduce emissions, and support the sustainable development of the electrified transport industry. I have published 8 academic papers, including 5 SCI papers as the first or corresponding author, and have contributed to several national and provincial-level projects. I was honored with the National Scholarship for Doctoral Students in both 2023 and 2024.

🎓 Education

Dr. Tian-yu Zhang currently pursuing a PhD in Transportation Planning and Management at Beijing Jiaotong University (2015–present). Under the guidance of Professors Enjian Yao (BJTU), Junyi Zhang (Southeast University), and Zhiwei Wang (NTU), my research focuses on the intersection of transportation and energy. This includes areas like big data mining, intelligent system design, and the optimization of transportation networks for sustainable development.

💼 Professional Experience

Throughout my doctoral journey, I have led and contributed to several high-impact research projects. As the chair of two fundamental research projects, I have focused on optimizing highway charging networks and electric vehicle infrastructure. I have also actively participated in national research projects aimed at optimizing regional transport structures, assessing carbon and pollution reduction potential, and developing energy replenishment solutions for transportation systems.

📚 Academic Citations

I have published 8 academic papers in top-tier journals such as Applied Energy, Transportation Research Part A, IEEE Transactions on Transportation Electrification, and Computer-Aided Civil and Infrastructure Engineering. My work, including 5 SCI-indexed papers where I served as the first or corresponding author, has been widely cited in the field of transportation and energy integration.

💻 Technical Skills

My research expertise spans several technical areas, including:

  • Transportation big data analysis
  • Intelligent transportation system (ITS) design and operation
  • Multi-agent system modeling
  • Optimization of multi-network coupling for transportation and energy
  • Industrial policy assessment and formulation
  • Software development (e.g., Dynamic Traffic Flow Allocation System V1.0)

👨‍🏫 Teaching Experience

In addition to my research, I assist in teaching courses related to transportation planning, system optimization, and transportation-energy integration at Beijing Jiaotong University. This allows me to share my knowledge while continuing to learn and engage with students.

🔬 Research Interests

My research primarily focuses on the integration of transportation and energy systems. Specifically, I aim to develop synergistic operations for electrified transportation, optimize energy consumption, and improve infrastructure planning through intelligent transportation systems and smart grids. I am particularly interested in multi-network coupling, energy management, and policy development to help the transportation sector meet sustainability goals, especially within the context of the “Double Carbon” initiative.

🌍 Vision for the Future

Dr. Zhang envisions the future development of smart grids, electric vehicles, and intelligent transportation systems working synergistically to achieve a sustainable and low-carbon transportation infrastructure. He hopes to foster international collaboration to tackle global challenges in this vital interdisciplinary field.

Neil Page | Atmospheric Science | Best Researcher Award

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Mr. Neil Page | Atmospheric Science | Best Researcher Award

Mr. Neil Page at University of Wollongong, Australia

👨‍🎓Professional Profile

🌱 Early Academic Pursuits

Neil Page’s academic journey reflects a strong commitment to environmental and atmospheric sciences, beginning with his undergraduate studies at Kingston University, London, where he earned a Bachelor of Environmental Science. He then pursued further studies at Queensland University of Technology, achieving a Bachelor of Applied Science before honing his expertise in atmospheric chemistry and climatology at the University of Wollongong. Through his Master’s research and the subsequent Masters of Philosophy (MPhil), Neil focused on atmospheric mercury and reactive bromine, specifically investigating their variability over coastal Antarctica and the Southern Ocean. This early academic foundation in environmental management, chemistry, and sustainability has laid a robust groundwork for his future research and professional pursuits. 

💡 Professional Endeavors

Neil’s professional career spans a broad range of roles across environmental consulting, climate science, and policy development. As a Senior Specialist at Deloitte Sustainability & Climate Change, he has worked on numerous physical climate risk assessments across various sectors, including agriculture, mining, construction, and finance. His expertise in data modelling and climate risk evaluation has helped clients assess and manage physical climate risks using advanced computational tools like GEOS-Chem and HYSPLIT. Neil’s role as a lead curator in the development of climate risk solutions, such as Deloitte Decarbonisation SolutionsTM (DDS), highlights his leadership in applying science to solve global challenges. 🏢🌐

📚 Contributions and Research Focus

Neil’s research focus is firmly entrenched in Atmospheric Chemistry, Meteorology, and Climate Science. His notable contribution to the field includes the measurement of reactive bromine and atmospheric mercury in polar regions, specifically over coastal Antarctica and the Southern Ocean. His work using ship-based observations, satellite retrievals, and back-trajectory modelling has been instrumental in understanding the factors driving atmospheric chemical variability in these sensitive regions. Furthermore, his early career research on mercury biogeochemical cycling in Australia using the GEOS-Chem model is a key example of his ability to integrate global chemical transport models with site-based observational data. Neil’s scholarly pursuits are not just limited to academia but extend to critical areas like climate change and air quality, influencing both scientific communities and policy development. 🌍🔬

🌍 Impact and Influence

Neil’s contributions extend beyond traditional research into real-world impact, notably in the area of climate change adaptation and mitigation strategies. His involvement in Australia’s national climate change risk assessment and state-wide climate risk assessments in regions like Tasmania and Northern Territory showcases his ability to translate complex climate science into actionable insights. Through his work, Neil helps shape policy frameworks and supports industries in building resilience to climate change. His leadership in big data modelling for physical climate risks further underscores his influence in shaping how companies and governments approach climate challenges. 🌡️⚖️

🧑‍🏫 Academic Cites and Research Recognition

Neil’s academic work has garnered recognition in the form of scholarships and citations in various research domains, particularly in atmospheric chemistry and environmental sustainability. His involvement in field campaigns, such as his research trip to Antarctica, not only contributed to advancing scientific knowledge but also positioned him as a respected figure in the scientific community. His work continues to be cited for its innovative methodologies and contributions to climate risk assessment and atmospheric science, with his publications influencing both academic and policy circles. 📑🌐

🖥️ Technical Skills and Tools

Neil’s technical prowess is vast and includes expertise in High-Performance Computing using platforms like NCI Gadi/Raijin. He is skilled in statistical analysis and proficient in the use of programming languages like Python, R, and Fortran, which he uses for data analysis and the development of complex climate and environmental models. His expertise extends to a wide array of modelling software, including GEOS-Chem, HYSPLIT, and AERMOD, to simulate atmospheric processes and evaluate environmental risks. His competence in Geographic Information Systems (GIS), as well as data visualisation tools like Tableau, allows him to communicate complex datasets in user-friendly formats for stakeholders across sectors. 💻📊

👨‍🏫 Teaching Experience

Beyond his professional and research endeavors, Neil has contributed to education through his role as an Academic Demonstrator at the University of Wollongong, where he assisted in practical sessions for undergraduate courses like “Earth’s Interconnected Spheres.” His teaching experience includes mentoring students, delivering practical demonstrations, and guiding students through assignments and practical works. His ability to explain complex scientific concepts to a diverse student body speaks to his excellent communication and interpersonal skills. 👨‍🏫📚

🌟 Legacy and Future Contributions

Looking ahead, Neil’s legacy will likely be defined by his continued contributions to the field of climate science, particularly in the realm of climate risk assessment and mitigation strategies. His research has the potential to influence not only environmental policy but also practical solutions for industries and communities seeking to adapt to climate change. As a specialist in the intersection of atmospheric science, data modelling, and climate resilience, Neil is positioned to make a lasting impact in shaping sustainable futures. His future contributions will continue to advance scientific understanding and provide innovative solutions to tackle some of the world’s most pressing environmental challenges.

Jorge Valverde Carbonell | Mineral Economics | Best Researcher Award

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Mr. Jorge Valverde Carbonell | Mineral Economics | Best Researcher Award

Mr. Yun Xing at The First Affiliated Hospital of Xi’an Jiaotong University, China

👨‍🎓Professional Profile

🌱 Early Academic Pursuits

Jorge Patricio Valverde Carbonell’s academic journey began with a strong foundation in economics at the University of Chile, where he earned a Bachelor’s degree in Economics (2006–2010) and a Master’s in Economic Analysis (2011–2012). His academic excellence led him to the University of Groningen, where he contributed as a research assistant in 2012, setting the stage for a future deeply rooted in empirical and policy-driven research. Valverde’s pursuit of a PhD in Economics at the prestigious University of Maastricht – UNU MERIT (2019–2025) highlights his ongoing dedication to advancing knowledge in economic analysis and policy.

💼 Professional Endeavors and Expertise

Valverde’s professional career spans key roles in international organizations, consulting for top economic institutions, and policy advising. His experience includes senior consultancy roles at institutions like the United Nations Conference on Trade and Development (UNCTAD), the Inter-American Development Bank (IDB), the OECD, and the Economic Commission for Latin America and the Caribbean (ECLAC). His expertise lies in economic development, mining competitiveness, and energy transitions, particularly in Latin America.

At UNCTAD (Sep 2024–Feb 2025), he is spearheading an analytical paper examining the role of critical minerals in enhancing Latin American economies. Additionally, his work at Espacio Público involves strategic industry analysis related to Chile’s energy transition, with a focus on lithium and green hydrogen industries. His previous roles at organizations such as the World Bank and OECD have shaped policy frameworks around global value chains, sectoral productivity, and taxation in mining industries, most notably in the Chile copper industry.

📚 Contributions and Research Focus

Valverde’s research delves into the economic complexity and global value chains of the mining sector, with a special emphasis on critical minerals such as copper, lithium, and iron. His most recent publications explore the linkages between critical minerals production and regional competitiveness. His collaboration with Menéndez and Pietrobelli (2024) has led to influential publications in high-impact journals like Journal of Resources Policy and Research Policy Journal, where they analyze mining competitiveness and opportunities for downstream diversification in resource-rich countries.

One of his notable contributions is a comprehensive framework for estimating the fiscal impact of emerging industries in the energy transition, particularly green hydrogen and lithium industries in Latin America. His economic modeling and forecasting in projects like the Energy Transition in the Mining Sector provide valuable insights into how Latin American economies can navigate global shifts in demand for clean energy minerals.

🌍 Impact and Influence

Valverde’s work has made a significant impact on policy and economic modeling within Latin America, especially in the context of resource-rich countries transitioning to green energy. His research has been pivotal in shaping national and regional policies around sustainable mining, energy transition strategies, and taxation reforms. His deep analysis of critical minerals value chains and sectoral productivity offers actionable insights for Latin American countries to boost their mining industries’ competitiveness in the global market.

He has also contributed to key international reports, such as the Economic Survey of Latin America and the Caribbean, where he addressed the challenges and opportunities in the energy transition for copper, lithium, and iron industries in the region. His research continues to inform the policymaking process in multiple international contexts, reflecting his influence as a thought leader in economic transition studies.

🧠 Academic Cites and Publications

Valverde’s work has been widely cited and recognized by both academics and policymakers. His publications span multiple topics within the field of economic complexity, global value chains, and sustainable mining. A standout example is his forthcoming chapter in the book Downstream Diversification in Mineral-Rich Countries, where he outlines the best strategies for maximizing the value-added potential of critical minerals industries.

Moreover, his research on the economic effects of energy transition policies and fiscal reforms in mining has provided valuable guidance for policymakers in Chile and across Latin America. His academic contributions continue to fuel discussions on smart specialization and green industry development at global forums.

💻 Technical Skills

Jorge Patricio Valverde is highly skilled in empirical economic analysis and policy modeling, with expertise in the following areas:

  • Economic Complexity Techniques
  • Global Value Chain (GVC) Analysis
  • Fiscal Impact Estimation and Tax Modeling
  • Energy Transition Modeling
  • Data Analysis and Econometrics (using statistical software like Stata and R)
  • Economic Forecasting (especially related to commodity markets and taxation)

These technical skills are coupled with his ability to deliver comprehensive policy reports and actionable insights for governments, international organizations, and the private sector. His advanced quantitative and qualitative research methodologies enable him to conduct rigorous analyses and make sound recommendations on complex economic issues.

🎓 Teaching Experience

Valverde has consistently contributed to academic training and teaching throughout his career. As a tutor at Maastricht University and Erasmus University Rotterdam, he has provided guidance in Econometrics and Statistics to Master’s students. He has also served as a part-time professor at the University of Chile, teaching courses in Macroeconomics and Public Policy Strategy Management. His teaching experience reflects his commitment to fostering the next generation of economists and policymakers by equipping them with the necessary skills to tackle complex global economic challenges.

🌟 Legacy and Future Contributions

Valverde’s legacy is already evident in the impact of his work on Latin American economic policy and his research contributions to the global discussions on sustainable development and economic transformation. As he continues his PhD journey at UNU MERIT, his future contributions are expected to further illuminate the pathways for economic resilience and energy transition in mining economies.

His ongoing work on critical minerals and energy transition will continue to shape policies in resource-rich countries, fostering economic diversification and green growth. By bridging the gap between economic theory and practical policy applications, Valverde is poised to leave a lasting mark on the intersection of sustainability, mining economics, and global trade in the coming

Yun Xing | Computer Vision | Best Researcher Award

Posted on by ScienceFather

Mr. Yun Xing | Computer Vision | Best Researcher Award

Mr. Yun Xing at The First Affiliated Hospital of Xi’an Jiaotong University, China

👨‍🎓Professional Profile

🎓 Education and Academic Background

I am currently a second-year Ph.D. student at VI-Lab, Nanyang Technological University (NTU), under the supervision of Prof. Shijian Lu. I received my B.S. degree in Biomedical Engineering and Instrument Science from Zhejiang University in 2021, where I worked under the guidance of Prof. Hong Zhou. Prior to my Ph.D., I completed my Master’s in Artificial Intelligence at NTU (2021–2022). My research interests primarily focus on vision-language pre-training and foundation model adaptation.

🔬 Research Interests

My research revolves around cutting-edge topics in vision-language pre-training and the adaptation of foundation models. I am particularly interested in methods that enable models to transfer knowledge effectively across different domains, such as few-shot learning, cross-domain adaptation, and improving model robustness in complex vision-language tasks.

🏆 Achievements and News

In recent years, I have been fortunate to have several papers accepted at top-tier conferences. These include NeurIPS 2024, ECCV 2024, CVPR 2024, and NeurIPS 2023, marking significant milestones in my academic journey. Notably, my work on object hallucination mitigation and segmentation adaptation has received considerable attention in the community.

🏅 Awards and Honors

Throughout my academic journey, I have received various recognitions for my contributions to research. These include the Outstanding Graduate Award from Zhejiang University in 2021, as well as the Academic Excellence Award (2018, 2019) and Academic Progress Award (2019) from the same institution.

💻 Service and Teaching

As an active member of the academic community, I contribute as a conference reviewer for prominent venues such as CVPR, ICML, ECCV, and NeurIPS 2024, where I was honored to be selected as one of the Top Reviewers at NeurIPS. Additionally, I am involved in teaching and mentoring at NTU. In Spring 2024, I will be assisting with the SC1015: Introduction to Data Science and Artificial Intelligence course.