Lei Li | Environmental Data Analysis | Best Researcher Award

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Prof. Lei Li | Environmental Data Analysis | Best Researcher Award

Tianjin University | China

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✅ Suitability Summary

Prof. Li’s background seamlessly blends practical industry expertise with academic rigor. His early career at PetroChina provided him with hands-on experience in petroleum exploration, which he has effectively translated into his academic roles. His long-standing commitment to teaching and research in seismic interpretation positions him as a valuable contributor to petroleum geoscience education and innovation. His ability to bridge theoretical knowledge with real-world application makes him especially suited for advancing research in subsurface geology and reservoir prediction.

📘 Education & Experience

Prof. Lei Li received his Bachelor of Science degree in Applied Geophysics from Southwest Petroleum University in 2001. He continued his postgraduate studies at the China University of Petroleum (Beijing), earning a Master’s degree in Geology in 2007, followed by a Ph.D. in Petroleum Geosciences in 2010. Professionally, he began his career as a Research Assistant at the Northwest Branch of the Research Institute of Petroleum Exploration and Development (PetroChina) from 2001 to 2005. In 2010, he joined Xi’an Shiyou University as a Teaching Assistant and has since progressed to the position of Professor in the School of Earth Sciences and Engineering, where he has served since 2019.

📈 Professional Development

Throughout his academic journey, Prof. Lei Li has demonstrated a clear trajectory of growth and contribution. He transitioned from the petroleum industry into academia, bringing practical insights into the classroom and research lab. His focus on teaching seismic interpretation has equipped a new generation of geoscientists with critical skills. His advancement from Teaching Assistant to full Professor reflects his dedication to both teaching excellence and impactful research, as well as his leadership within the university’s Earth Sciences faculty.

🔬 Research Focus

Prof. Li’s research interests lie at the intersection of sedimentology and seismic analysis. His primary focus areas include seismic geomorphology, deep-water sedimentation, and reservoir prediction. Additionally, he has a strong interest in tidal sedimentation systems. His work aims to improve the interpretation of complex subsurface structures and contribute to more accurate hydrocarbon reservoir characterization, with a particular emphasis on deep-water environments—an increasingly significant area in global energy exploration.

🏆 Honors & Awards

No specific honors or awards were listed in the current biography. However, Prof. Li’s promotion to full professorship and his continued presence in leading academic and research roles at Xi’an Shiyou University speak to his professional recognition and contributions within the field of petroleum geosciences.

📚 Selected Publication

Seismic geomorphology and sedimentary architectures of mass transport deposits: Cases from Pearl River Mouth Basin and Niger Delta Basin

Authors: L. Lei, L. Bin, W. Yingmin
Journal: Journal of Central South University (Science and Technology)
Year: 2013

Identification and evolution of mass transport complexes and its significance for oil and gas exploration

Authors: L. Lei, W. Yingmin, Z. Lianmei
Journal: Acta Sedimentologica Sinica
Year: 2010

Deep-water gravity flow depositional elements and depositional systems in passive margin: Case studies in deep-water areas of Niger Delta and Baiyun Sag

Authors: L. Lei, W. Yingmin, X. Qiang
Journal: Pearl River Mouth Basin
Year: 2012

Sedimentary patterns and structural control across toe thrust belts, Niger Delta

Authors: Li Lei, W. Yingmin, Z. Lianmei
Journal: Earth Science (Journal of China University of Geosciences)
Year: 2008

Bankfull discharge as a key control on submarine channel morphology and architecture: Case study from the Rio Muni Basin, West Africa

Authors: L. Li, C. Gong, R.J. Steel
Journal: Marine Geology
Year: 2018

Ramadas Narayanan | Energy and Utilities Analytics | Best Researcher Award

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Dr. Ramadas Narayanan | Energy and Utilities Analytics | Best Researcher Award

CQ University Australia | Australia

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👤 Summary

Dr. Ramadas Narayanan is an accomplished mechanical engineer, academic, and researcher with over 25 years of international experience across Australia, India, and Malaysia. Currently serving as Senior Lecturer and Discipline Leader in Mechanical Engineering at Central Queensland University (CQU), he specializes in clean energy systems, solar-assisted cooling technologies, and agricultural mechanisation. His extensive contributions to research, teaching, and professional development have been recognized with prestigious awards, fellowships, and over $4.75 million in competitive grant funding.

🎓 Education

Dr. Narayanan holds a PhD in Mechanical Engineering from the University of South Australia (2012), where he also earned a Graduate Certificate in Research Commercialization. He has a Graduate Certificate in Tertiary Teaching with High Distinction from Curtin University (2007), a Master of Technology (First Class Honours) in Mechanical Engineering (1996), and a Bachelor of Technology in Mechanical Engineering (1992), both from the University of Kerala, India.

💼 Professional Experience

Dr. Narayanan has held multiple leadership and academic roles. He is currently the Discipline Leader and Senior Lecturer in Mechanical Engineering at CQU Bundaberg (2023–present). He previously led the Engineering Mobility Program (2021–2023) and the Clean Energy Cluster (2014–2020). He also serves as Adjunct Senior Research Fellow at the University of South Australia’s Barbara Hardy Institute since 2014. Earlier roles include Energy Project Officer at the South Australian Government’s DIMTRE and various academic positions at UniSA since 2008.

🏅 Academic Achievements & Recognitions

Dr. Narayanan is a recipient of the Australian Award for University Teaching (AAUT) in 2021 and the Vice Chancellor’s Awards for Outstanding Contributions to Teaching at CQU. He is a Senior Fellow of the UK Higher Education Academy (2022) and has won several accolades for research including the AIRAH Award for Refrigeration & Air-conditioning Research Excellence. He was also the winner of UniSA’s 3-Minute Thesis Competition in 2011.

📚 Teaching Experience

With a teaching career spanning over 15 years, Dr. Narayanan has delivered core mechanical engineering units such as Thermodynamics, Fluid Mechanics, Engineering Dynamics, and Energy Conversion. He is well-known for his engaging teaching style and has received multiple student-nominated teaching awards, demonstrating his commitment to high-quality education and mentorship.

🔬 Research Interests

His research interests include solar-assisted and desiccant-based cooling systems, energy-efficient building technologies, sustainable mechanical design, agricultural mechanisation, and clean energy systems. He has successfully designed innovative desiccant wheels and participated in global research efforts focused on renewable energy and sustainability.

🛠️ Technical Skills

Dr. Narayanan has advanced expertise in thermal systems modeling and simulation using ANSYS, MATLAB, and TRNSYS. He is proficient in the design of HVAC systems, post-harvest agricultural equipment, and experimental thermal testing. He is also experienced in research commercialization and cross-disciplinary innovation.

🔍 Research Grants

He has led and contributed to major research initiatives totaling over $4.75 million in funding. Notable projects include the National Sesame Mechanisation Program ($2M), the Great Northern Spices CRCNA Project ($2.5M), and multiple CSIRO and KFAS-funded clean energy and solar cooling projects. He often serves as the Lead or Theme Leader in these multi-institutional collaborations.

🌐 Professional Affiliations

Dr. Narayanan has served as Chair of Engineers Australia’s Bundaberg Regional Committee (2018–2020) and is a member of AIRAH’s Solar Cooling group. He holds editorial roles in several international journals including Sustainability (MDPI) and Building and Environment (Elsevier). He is an active contributor to REN21, a global renewable energy policy network.

📚 Selected Publication

 Heat Pumps with Smart Control in Managing Australian Residential Electrical Load during Transition to Net Zero Emissions

    • Authors: Adrian Rapucha, Ramadas Narayanan, Meena Jha

    • Journal: Energies

    • Year: 2024

 Implementing Cool Roof and Bio-PCM in Portable Cabins to Create Low-Energy Buildings Suitable for Different Climates

    • Authors: Ahmad Sedaghat, Arash Mahdizadeh, Ramadas Narayanan, Hayder Salem, Wisam K. Hussam, Mohamad Iyad Al-Khiami, Mahdi Ashtian Malayer, Sayed M. Soleimani, Mohammad Sabati, Mohammad Rasul

    • Journal: Sustainability

    • Year: 2023

 Energy and Comfort Evaluation of Fresh Air-Based Hybrid Cooling System in Hot and Humid Climates

    • Authors: Ramadas Narayanan, Subbu Sethuvenkatraman, Roberto Pippia

    • Journal: Energies

    • Year: 2022

 Food waste as a source of sustainable energy: Technical, economical, environmental and regulatory feasibility analysis

    • Authors: Ramadas Narayanan

    • Journal: Renewable and Sustainable Energy Reviews

    • Year: 2022

Comparative study of thermal degradation kinetics of two woody biomass samples for bio-oil production

    • Authors: Ramadas Narayanan

    • Journal: Sustainable Energy Technologies and Assessments

    • Year: 2022

 

Tie-Zhen Ren | Data Science | Best Researcher Award

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Prof. Dr. Tie-Zhen Ren | Data Science | Best Researcher Award

Prof. Dr. Tie-Zhen Ren | Data Science – Xinjiang university | China

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👤 Summary

Prof. Dr. Tie-Zhen REN is a highly experienced scholar in the field of inorganic materials chemistry and functional nanostructures. With over 20 years of academic and research experience, he has contributed extensively to the development of hierarchical porous materials, photocatalysis, and sustainable material technologies. He is currently a Professor at the School of Chemical Engineering, Xinjiang University, and has a broad international background, having worked and conducted research in Belgium, Sweden, the U.S., and multiple institutions across China.

🎓 Education

Dr. REN received his Ph.D. in Inorganic Materials Chemistry from the University of Namur (FUNDP), Belgium (2001–2005), where his research focused on the synthesis and properties of hierarchically nanoporous materials under the supervision of Prof. Bao-Lian Su. He also holds a Master’s degree in Plant Protection from Anhui Agricultural University (1999–2002), and a Bachelor’s degree in Polymer Engineering from Tianjin Institute of Technology (1994–1998), reflecting a well-rounded foundation in both chemical engineering and material sciences.

💼 Professional Experience

Prof. REN has held several academic and research positions, including his current role as Professor at Xinjiang University since 2021. Prior to that, he served as Professor at Hebei University of Technology from 2007 to 2021. His international experience includes a postdoctoral fellowship at Stockholm University, Sweden, and a visiting researcher position at the City College of New York. He also volunteered as a teacher at BayinGol Vocational and Technical College, and held early roles such as research assistant, documentalist, and industrial trainee, contributing to his comprehensive experience across academia and industry.

📚 Academic Achievements & Projects

Dr. REN has led multiple national and regional research projects, including those funded by the National Natural Science Foundation of China, the Ministry of Science and Technology, and the Xinjiang Autonomous Region. Notable projects involve work on porous titanium oxides, framework germanates, and carbon-modified catalysts. He has received several honors such as the Tianjin Natural Science Award (2015), the China National Scholarship for Excellent Self-Financed Students Abroad (2004), and awards for teaching and student mentorship.

🧪 Technical Skills

He possesses strong technical capabilities in materials characterization and analysis, including TEM (e.g., JEOL JEM-3010), SEM & EDX, XRD, FT-IR, UV-Vis spectroscopy, TGA-DSC, NMR, and electrochemical workstation operation. He is highly proficient in single-crystal and powder X-ray diffraction, nanomaterial synthesis, and ultramicrotome sample preparation, enabling advanced insights into material structure and functionality.

👨‍🏫 Teaching Experience

Throughout his academic career, Prof. REN has been committed to high-quality education. He has taught courses such as General Chemistry (at the City College of New York), Principles of Chemical Engineering (at Xinjiang University and BayinGol College), Principles of Catalysis, and Specialized Reading in English (at Hebei University of Technology). His teaching integrates experimental skills, scientific theory, and practical problem-solving in the chemical sciences.

🔬 Research Interests

His research interests lie in the design, synthesis, and characterization of porous and nanostructured materials, including mesoporous silica, metal oxides, dye-doped silica for optical applications, and crystalline germanium oxides. He is also focused on environmental catalysis, particularly the photodegradation of pesticides, carbon-based energy materials, and biomass transformation for sustainable technologies.

📚 Selected Publication

1. Preparation of Al₂O₃ Nanoparticles via Fluidized Roasting and Their Application in the Pyrolysis of Spent Mulching Film for Hydrocarbon Production

  • Authors: Zhong-He Song, Imran Muhammad, Tie-Zhen Ren, Ablikemu Abulizi, Kenji Okitsu, Huan-Rong Li, Xue-Jun Zhang

  • Journal: ACS Sustainable Resource Management

  • Year: 2025

2. Sulfite Enhanced Permanganate/Fe(II) Moderate Oxidation Coagulation for the Treatment of Algae-Laden Water: Performance and Mechanisms

  • Authors: Jinlong Han, Li Sun, Mathias Ulbricht, Lukas Fischer, Guangming Zhang, Wenfang Gao, Longyi Lv, Tiezhen Ren, Xiaoyang Liu, Zhijun Ren

  • Journal: Chemical Engineering Journal

  • Year: 2025

3. Surfactant-Enhanced ZnOₓ/CaO Catalytic Activity for Ultrasound-Assisted Biodiesel Production from Waste Cooking Oil

  • Authors: Hongyu Fu, Haifeng Bai, Abulikemu Abulizi, Kenji Okitsu, Yasuaki Maeda, Tiezhen Ren, Shengyan Wang

  • Journal: Reaction Chemistry & Engineering

  • Year: 2024

4. Boosting BaTi₄O₉ Photocatalytic H₂ Evolution Activity by Functionalized CuNi Alloy

  • Authors: Meng-Jie Cui, Shan-Shan Li, Tie-Zhen Ren, Abulikemu Abulizi, Ai-Sha Nulahong

  • Journal: Journal of Photochemistry and Photobiology A: Chemistry

  • Year: 2024

5. Isopropanol Assisted Preparation of α-Al₂O₃ Nanoparticles and Its Surface Charge Investigation

  • Authors: Meng-Jie Cui, Imran Muhammad, Jian Feng, Tie-Zhen Ren

  • Journal: Solid State Sciences

  • Year: 2024

 

Xuanyu Chen | Insight Inception | Best Researcher Award

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Dr. Xuanyu Chen | Insight Inception | Best Researcher Award

Dr. Lichun Zhu | Agricultural Data Analysis – Beijing normal University | China

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👤 Summary

Dr. Xuanyu Chen is a lecturer at the Law School of Beijing Normal University, specializing in education law and jurisprudence. His work focuses on school bullying and the legal protection of minors, with a strong emphasis on the role of schools in legal governance.

🎓 Education

He holds both a Ph.D. and a Master’s degree in Law from the Law School of Beijing Normal University, where he developed his expertise in legal research and educational policy.

💼 Professional Experience

Dr. Chen previously served as a judge’s assistant at the Higher People’s Court of Xinjiang Uygur Autonomous Region, gaining firsthand insight into judicial processes. He now contributes to legal academia through teaching and research at BNU.

📚 Academic Citations

Dr. Chen has published 1 SCI/Scopus-indexed article, 2 CSSCI journal articles, and a monograph (ISBN: 978-7-5216-3201-9). He also leads funded research projects and holds an editorial appointment.

🛠️ Technical Skills

His core skills include case-based legal analysis, education governance policy research, and legislative review related to child protection and school responsibilities.

👨‍🏫 Teaching Experience

 At Beijing Normal University, he teaches courses in law and jurisprudence, mentoring students in legal studies and educational law.

🔬 Research Interests

 His research interests focus on the rule of law in education, school governance, juvenile legal protection, and school bullying prevention from a legal perspective.

📚 Selected Publications

School Responsibility and Improvement Pathways in the Prevention and Control of Campus Bullying in China: An Analysis of 155 Civil Judgments

  • Authors: Xuanyu Chen, Yulu Jin, Feng Han
    Journal: Social Sciences
    Year: 2025

 

Jia Zhai | fuzzy system | Best Researcher Award

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Ms. Jia Zhai | fuzzy system | Best Researcher Award

Ms. Jia Zhai | fuzzy system – Jiangsu University of Science and Technology | China

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✅ Suitability Summary

Ms. Zhai is a highly motivated and technically capable individual with strong expertise in fuzzy systems, machine learning, and data modeling. Her proficiency in MATLAB and Python positions her well for roles involving AI algorithm development, intelligent system design, and academic research. She is recognized for her teamwork, accountability, and ability to translate complex theories into practical solutions, making her an excellent fit for research-intensive and data-driven environments.

📘 Education & Experience

Ms. Jia Zhai is currently pursuing her Master’s degree at Jiangsu University of Science and Technology, China (2022.09 – 2025.06). Her academic background combines strong theoretical foundations with hands-on research in mathematical modeling and artificial intelligence. From June 2024 to April 2025, she is involved in a key research project titled “A Hierarchical-Approximation-based Interpretable Multi-view TSK Fuzzy Classification for Diverse Aggregates of Fuzzy Rules.” This project introduces a joint-view shared decision subspace, a two-view mutual approximation strategy, and a novel stacked-like architecture, all aimed at enhancing classification performance and model interpretability. She also hosted the Jiangsu Provincial Graduate Student Research and Practice Innovation Program, highlighting her initiative and leadership in research.

📈 Professional Development

Ms. Zhai has consistently pursued academic growth and practical impact throughout her graduate journey. She is proficient in MATLAB and Python, essential for computational modeling. Her research output includes two accepted papers, two under review, one granted patent, and one registered software copyright, reflecting her innovation and research productivity. In addition, her experience in managing provincial research programs demonstrates her organizational and leadership abilities.

🔬 Research Focus

Her research centers on interpretable machine learning, with a specific focus on multi-view TSK fuzzy systems. She investigates how shared decision information and cross-view approximation can be integrated to train more effective and interpretable fuzzy models. Her contributions lie at the intersection of fuzzy logic, multi-view learning, and AI interpretability, making her research both relevant and impactful in today’s AI landscape.

🏆 Honors & Awards

Ms. Zhai has received multiple prestigious honors for her academic achievements. In 2023, she was awarded the Second Prize in the Jiangsu Province Mathematical Modeling Contest. In 2024, she received the Third Prize in the same contest and another Third Prize in the 21st “Huawei Cup” China Graduate Mathematical Modeling Competition. Beyond competitions, she has obtained one granted patent and completed one software copyright registration, showcasing her technical innovation and intellectual property contributions.

📚 Selected Publications

1. A Temporal Multi-View Fuzzy Classifier for Fusion Identification on Epileptic Brain Network

  • Authors: Xia Zhengxin, Xue Wei, Zhai Jia, Zhou Ta, Su Chong

  • Journal: IEEE Transactions on Fuzzy Systems

  • Year: 2025

2. A Hierarchical-approximation-based Interpretable Multi-view TSK Fuzzy Classification for Diverse Aggregates of Fuzzy Rules

  • Authors: Jia Zhai, Jinghao Chen, Guanghao Song, Yuanqing Yang, Wei Yan, Ta Zhou

  • Journal: International Journal of Control, Automation and Systems

  • Year: 2025

Anubhab Gupta | Social Impact | Best Researcher Award

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Assist Prof Dr. Anubhab Gupta | Social Impact | Best Researcher Award

Assist Prof Dr. Anubhab Gupta | Social Impact – Virginia Tech | United States

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📘 INTRODUCTION

Dr. Anubhab Gupta is an accomplished development economist and Assistant Professor in the Department of Agricultural and Applied Economics at Virginia Tech. His research and policy work lie at the intersection of applied development economics, general equilibrium modeling, and rural transformation. With deep engagement in global issues such as food security, refugee economies, and climate vulnerability, Dr. Gupta’s work spans continents and contributes to both academic advancement and practical policy design.

🎓 EARLY ACADEMIC PURSUITS

Dr. Gupta’s academic journey began in India and expanded internationally. He earned a Ph.D. in Agricultural and Resource Economics from the University of California, Davis in 2019. Prior to that, he completed an M.S. in Applied Economics from The University of Arizona (2013), an M.A. in Economics from Delhi School of Economics, University of Delhi (2010), and a B.Sc. (Honors) in Economics from the University of Calcutta (2008). This diverse academic foundation has shaped his global outlook and multidisciplinary approach to solving real-world economic challenges.

💼 PROFESSIONAL ENDEAVORS

Dr. Gupta’s career features a dynamic blend of academic leadership and international consulting. Since 2020, he has served as a faculty member at Virginia Tech. Previously, he was a Postdoctoral Scholar at UC Davis. His professional experiences include consulting for renowned organizations such as the World Bank, United Nations FAO, and the World Food Programme. His roles have taken him to field sites in Africa and South Asia, allowing him to apply rigorous economic tools to complex, on-the-ground development issues.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Gupta’s research primarily focuses on the economic impacts of displacement, agricultural market imperfections, food security programs, and rural development. He is widely recognized for using local general equilibrium models and field-based evaluations to assess the effectiveness of policies such as cash transfers, refugee aid, and school feeding programs. His empirical methods often incorporate a blend of household survey data, geospatial information, and policy simulations.

🌍 IMPACT AND INFLUENCE

His work has had substantial influence in academic, policy, and humanitarian circles. Dr. Gupta has played a central role in demonstrating the local economic impacts of refugee settlements, such as in Uganda, and has informed policy reforms for cash-based interventions in East Africa and South Asia. He regularly presents his findings at international forums, including keynote addresses, university seminars, and multilateral agency workshops. His insights contribute to better-designed development policies and scalable solutions in vulnerable regions.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Gupta has authored or co-authored numerous peer-reviewed articles in top-tier journals including the American Journal of Agricultural Economics, World Development, PLOS One, and Proceedings of the National Academy of Sciences. Notable publications address issues like the economic impact of giving land to refugees, consequences of COVID-19 lockdowns in remittance regions, and spillover effects of cash transfers. In addition, he has a growing list of working papers and policy publications that contribute to academic debate and practical implementation alike.

🏆 HONORS & AWARDS

Throughout his career, Dr. Gupta has been recognized for both his teaching and research excellence. He received the Outstanding Graduate Student Teaching Award at UC Davis and the prestigious Erika C.H. Meng Scholarship for Development Policy. At Virginia Tech, he was named a CALS Global Opportunity Initiative (GOI) Fellow, reflecting his commitment to impactful global engagement in agricultural and applied economics.

💰 GRANTS AND FUNDING

Dr. Gupta has successfully secured over $2 million in research funding from agencies such as USAID, USDA NIFA, and the World Food Programme. These grants support projects on themes like climate resilience, youth retention in agriculture, food price volatility, and economic evaluation of school meal programs. His leadership in these initiatives demonstrates his ability to translate research into high-impact, actionable programs.

👨‍🏫 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Gupta’s influence extends to his role as a mentor and advisor to Ph.D. and M.S. students at Virginia Tech. He actively serves on departmental committees and professional organizations like the Agricultural and Applied Economics Association. His ongoing work on climate adaptation, food markets, and refugee welfare positions him to be a continued thought leader in the development economics space. His collaborative ethos, field engagement, and commitment to evidence-based policy mark him as a scholar whose legacy will continue to grow.

✨ FINAL NOTE

In a world where food security, climate shocks, and displacement increasingly challenge development progress, Dr. Anubhab Gupta stands out as a scholar deeply attuned to the socioeconomic realities of vulnerable populations. His blend of academic rigor, field immersion, and policy impact makes his work both timely and transformative. As he continues to explore new frontiers in development economics, Dr. Gupta remains a vital contributor to shaping inclusive and resilient global communities.

📚 SELECTED PUBLICATIONS 

Rural Economy-wide Impacts of Kenya’s Home-Grown School Meals Program”

    • Authors: M. K. Doan, H. Zhu, E. Whitney, M. Filipski, E. Gonzalez-Estrada, D. Ryckembusch, J. E. Taylor

    • Journal: Food Policy

    • Year: Forthcoming

“Impacts of Financial Literacy Training on Refugee Youth Outcomes”

    • Authors: N. Das, C. Mingo, H. Zhu

    • Journal: The Journal of Development Studies

    • Year: 2025

“Economic Impact of Nature-based Tourism”

    • Authors: H. Zhu, H. Bhammar, E. Whitney, M. Filipski, U. Narain, J. E. Taylor

    • Journal: PLOS One

    • Year: 2023 (Volume 18, Issue 4)

“Economic Impacts of Giving Land to Refugees”

    • Authors: H. Zhu, J. E. Taylor, M. Filipski, J. Valli, E. Gonzalez

    • Journal: American Journal of Agricultural Economics

    • Year: 2023

“A Local General-equilibrium Emergency Response Modeling Approach for Sub-Saharan Africa”

    • Authors: M. Filipski, J. Kagin, et al.

    • Journal: Agricultural Economics

    • Year: 2022

Ahmad Alsahli | Dentistry | Best Researcher Award

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Dr. Ahmad Alsahli | Dentistry | Best Researcher Award

Kuwait University | Kuwait

Publication Profile

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💼 Current Position

Dr. Ahmad Alsahli is an Assistant Professor at the Faculty of Dentistry, Kuwait University, where he serves full-time in the Department of General Dental Practice. In addition to his academic responsibilities, he actively practices clinical dentistry as an Associate Dentist at Bayan Dental – Alhamra Branch in Kuwait, maintaining a balanced role in both education and private healthcare.

📘 Education & Experience

Dr. Alsahli holds a Doctor of Dental Surgery (DDS) degree from Virginia Commonwealth University (VCU), earned in 2007. He further advanced his expertise with an Advanced Education in General Dentistry (AEGD) from Columbia University College of Dental Medicine, followed by a Master of Arts in Dental Sciences from Columbia University’s Graduate School of Arts and Sciences in 2014. His clinical experience spans both the U.S. and Kuwait, including roles in private practice, public health clinics, and faculty-based clinical settings. Since 2014, he has been practicing and teaching in Kuwait, providing hands-on education in restorative dentistry and patient care.

✅ Suitability Summary

With over 15 years of diverse clinical and academic experience, Dr. Alsahli brings a deep understanding of general dentistry, restorative procedures, and patient-focused care. His dual roles as an educator and practitioner allow him to integrate current clinical knowledge into his teaching, providing students with real-world insight. His board certification, academic fellowships, and international clinical exposure make him particularly suited for leadership roles in dental education and general dentistry.

🎓 Professional Development

Dr. Alsahli is a Diplomate of the American Board of General Dentistry (ABGD) and a Fellow of the Academy of General Dentistry (FAGD), credentials that underscore his commitment to continuous learning and clinical excellence. He has passed the National Dental Board Examination Parts I & II and the SRTA clinical board exam. His involvement in professional organizations like the Academy of General Dentistry and the International Association of Dental Research reflects his dedication to both professional growth and scientific advancement in the dental field.

🔬 Research Focus

While primarily a clinician and educator, Dr. Alsahli’s academic background in dental sciences supports his involvement in educational and clinical research. His research interests align with general dentistry practices, restorative techniques, and the enhancement of clinical education methods. His academic role allows him to contribute to the development of evidence-based teaching approaches and to mentor students in research initiatives.

🏆 Honors & Awards

Dr. Alsahli’s professional milestones include becoming a Diplomate of the ABGD in 2014 and earning the title of Fellow of the Academy of General Dentistry in 2017—both of which are considered prestigious honors within the dental profession. Additionally, his active service in community dental missions such as Missions of Mercy in Virginia and the Jamaica Project reflects a strong commitment to humanitarian outreach and public oral health.

📚 Top Notes Publications

Title: Palmitic acid reduces circulating bone formation markers in obese animals and impairs osteoblast activity via C16-ceramide accumulation

    • Authors: Ahmad Alsahli, Kathryn Kiefhaber, Tziporah Gold, Munira Muluke, Hongfeng Jiang, Serge Cremers, Ulrike Schulze-Späte

    • Journal: Calcified Tissue International

    • Year: 2016

Title: Diet-induced obesity and its differential impact on periodontal bone loss

    • Authors: Munira Muluke, Tziporah Gold, Kathryn Kiefhaber, Ahmad Al-Sahli, Rebecca Celenti, Hongfeng Jiang, Serge Cremers, Thomas Van Dyke, Ulrike Schulze-Späte

    • Journal: Journal of Dental Research (J Dent Res)

    • Year: 2016

Title: Oral Health in the State of Kuwait: An Appraisal

    • Authors: H. Nazar, S. Al-Mutawa, AAR Asad, J. Ariga, A. AlSahli, JK Baskaradoss

    • Journal: International Dental Journal (Int Dent J)

    • Year: 2024

Suncheng Xiang | Machine Learning and AI Applications | Best Researcher Award

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Assist Prof Dr. Suncheng Xiang | Machine Learning and AI Applications | Best Researcher Award

Shanghai Jiao Tong University | China

PUBLICATION PROFILE

Google Scholar

🎓 EARLY ACADEMIC PURSUITS

Dr. Suncheng Xiang’s academic journey began with a B.S. in Electrical Engineering and Automation from Changsha University of Science & Technology (2010–2014), where he demonstrated early promise through multiple scholarships and honors. He pursued an M.S. in Software Engineering at the National University of Defense Technology (NUDT) from 2014 to 2017, continuing his academic excellence with multiple recognitions, including first-class scholarships and “Outstanding Student” awards. His scholarly momentum led to a Ph.D. in Computer Science and Technology at Shanghai Jiao Tong University (SJTU) from 2017 to 2022, where he laid the foundation for his work at the intersection of artificial intelligence and medical technology.

💼 PROFESSIONAL ENDEAVORS

Currently serving as an Assistant Professor at the School of Biomedical Engineering, SJTU, since August 2022, Dr. Xiang is also co-affiliated with the Institute of Medical Robotics, reflecting his interdisciplinary engagement. His teaching portfolio includes courses like Artificial Intelligence and Medicine and Medical Imaging Intelligence Technology, and he has served as a lead TA in core computing courses during his academic years. His professional memberships with IEEE and ACM further demonstrate his integration into the global scientific community.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Xiang’s research lies at the convergence of machine learning, computer vision, and biomedical applications, with significant work in domain adaptation, image generation, 3D reconstruction, and multimodal foundation models. He has contributed to both theoretical advancements and real-world solutions, evident in his published preprints on arXiv, which explore topics such as polyp re-identification, medical image segmentation, and gesture recognition. His innovation extends to patents—notably in vessel re-identification using transfer learning and a reusable implantable drive mechanism.

🌍 IMPACT AND INFLUENCE

As an active reviewer for more than 40 peer-reviewed journals—including prestigious outlets like IEEE Transactions on Medical Imaging, Pattern Recognition, and Machine Learning—Dr. Xiang holds a Distinguished Reviewer title. He is also an associate editor for several journals such as Biomedical Engineering Communications and Intelligent Manufacturing. His presence at major conferences like CVPR, ICCV, MICCAI, and EMNLP as a reviewer, session chair, or workshop organizer highlights his growing influence in global academic discourse. Additionally, his invited talks at leading institutions such as Fudan University, Wuhan University, and international platforms demonstrate his thought leadership.

📈 ACADEMIC CITES

Dr. Xiang’s open-source philosophy and dedication to knowledge sharing are reflected in his active GitHub repository, where he shares code and models related to his publications. This contributes to his growing academic citations and impact, as his works are used by fellow researchers and practitioners alike. Although specific citation metrics aren’t listed, his consistent involvement in high-profile research and collaboration across multidisciplinary teams suggests a rising citation trajectory.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Xiang’s leadership in multimodal cognitive learning, AI for healthcare, and robotic surgery is poised to contribute significantly to next-generation biomedical systems. His ongoing national and municipal-level projects, including the National Natural Science Foundation of China Youth Project and Shanghai Municipal Health Commission projects, indicate sustained support and expectations from the research community. With a rich portfolio in teaching, mentorship, and interdisciplinary collaboration, Dr. Xiang is building a legacy that bridges technical innovation with clinical translation.

 📚 TOP NOTES PUBLICATIONS

Vm-unet: Vision mamba unet for medical image segmentation

    • Authors: J. Ruan, J. Li, S. Xiang

    • Journal/Conference: arXiv preprint arXiv:2402.02491

    • Year: 2024

Malunet: A multi-attention and light-weight unet for skin lesion segmentation

    • Authors: J. Ruan, S. Xiang, M. Xie, T. Liu, Y. Fu

    • Journal/Conference: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

    • Year: 2022

Unsupervised domain adaptation through synthesis for person re-identification

    • Authors: S. Xiang, Y. Fu, G. You, T. Liu

    • Journal/Conference: 2020 IEEE International Conference on Multimedia and Expo (ICME)

    • Year: 2020

Less is more: Learning from synthetic data with fine-grained attributes for person re-identification

    • Authors: S. Xiang, D. Qian, M. Guan, B. Yan, T. Liu, Y. Fu, G. You

    • Journal/Conference: ACM Transactions on Multimedia Computing, Communications and Applications

    • Year: 2023

Learning from self-discrepancy via multiple co-teaching for cross-domain person re-identification

    • Authors: S. Xiang, Y. Fu, M. Guan, T. Liu

    • Journal/Conference: Machine Learning

    • Year: 2023

Rethinking illumination for person re-identification: A unified view

    • Authors: S. Xiang, G. You, L. Li, M. Guan, T. Liu, D. Qian, Y. Fu

    • Journal/Conference: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    • Year: 2022

Murad Al-Rajab | Artificial Inteligence | Best Research Article Award

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Dr. Murad Al-Rajab | Artificial Inteligence | Best Research Article Award

Abu Dhabi University | United Arab Emirates

PUBLICATION PROFILE

Google Scholar

📘 INTRODUCTION

DR. MURAD AL-RAJAB is a dedicated academic and technology professional whose expertise spans across computer science, data science, artificial intelligence, and sustainable computing. With over a decade of experience in academia and IT leadership, Dr. Al-Rajab is recognized for his ability to bridge the gap between theoretical knowledge and practical application in digital transformation and emerging technologies.

🎓 EARLY ACADEMIC PURSUITS

Dr. Al-Rajab’s academic journey began with a Bachelor of Science in Computer Science from Aman University of Science and Technology in 2005. He later pursued two Master’s degrees: one in Computer Science from the New York Institute of Technology in 2008 and another in Information Systems Management from HCT in 2014. His academic aspirations culminated in earning a PhD in Computer Science from the University of Huddersfield in 2019, marking the foundation for his future contributions to academic research and teaching.

👨‍🏫 PROFESSIONAL ENDEAVORS

Dr. Al-Rajab currently serves as an Assistant Professor at Abu Dhabi University (ADU) since 2020, having also served as a Part-Time Adjunct Assistant Professor from 2019–2020. His prior roles include a Lecturer at Abu Dhabi School of Management (ADSM) and IT Director at ALHOSN University. These roles reflect a unique blend of academic dedication and administrative expertise, showcasing his leadership in both educational and operational spheres.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Al-Rajab’s research interests include machine learning, data science, AI applications, smart systems, and sustainable technology solutions. His work focuses on applying AI to societal challenges—from energy optimization and disaster management to AR-based education and smart tourism. As an active researcher, he explores interdisciplinary frameworks, often combining data-driven models with real-world applications.

🌍 IMPACT AND INFLUENCE

Through organizing initiatives like Software Engineering Days, Cybersecurity Days, and Blockchain Hackathons (2021–2024), Dr. Al-Rajab has become a catalyst for tech-driven dialogue and student engagement. As Leader of the ADU Computing Club and Coordinator of field trips and social activities, he promotes academic enrichment and community building. His work also includes committee contributions to ICASF 2024, the ADU IMT Steering Committee, and more.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Al-Rajab has published several impactful journal articles and conference papers in recent years. His works include:

  • “Sustainable EnergySense” (2024, Discover Sustainability), addressing energy efficiency through machine learning.

  • “QUALITY POINTPAL” (2024), redefining social networking with AI.

  • A highly innovative study on crescent moon visibility prediction published in both Scientific Reports (2023) and Journal of Big Data (2024).

  • He also contributed to cancer detection, traffic flow forecasting, and gene classification using AI models.
    Notably, his 2024 paper on AI for Real-Time Disaster Management, presented at CITS in Spain, reflects his ongoing commitment to societal impact through research.

🏅 HONORS & AWARDS

Dr. Al-Rajab has received multiple awards for excellence and innovation. In 2024, he was honored with the Best Scientific Research Contribution Award by the University of Wollongong, Dubai. He also received the Best Presentation Award at an international research conference in Canada (2020) and was recognized as Best Presenter at HCT in 2013.

🧑‍💻 CERTIFICATIONS & PROFESSIONAL MEMBERSHIP

A certified IBM Data Science Practitioner Instructor and a Huawei Certified ICT Associate in AI, Dr. Al-Rajab continuously sharpens his skillset through professional certifications in IoT, Enterprise Design Thinking, and Applied Data Science. He is also a proud member of the British Computer Society – The Chartered Institute for IT, reinforcing his engagement in the global tech community.

🧠 PROFESSIONAL DEVELOPMENT

He actively participates in workshops and training sessions including AI in education, reflective STEM strategies, quantitative research design, and leadership programs. These continuous learning efforts demonstrate his passion for staying ahead in both pedagogy and technology.

💡 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Al-Rajab’s legacy is deeply embedded in nurturing innovation, enhancing educational experiences, and fostering sustainable digital transformation. With an eye on the future, his upcoming initiatives and research are expected to further integrate AI for societal good, especially in education, healthcare, and smart living.

📝 FINAL NOTE

Dr. Murad Al-Rajab exemplifies the modern academic—visionary, innovative, and community-driven. His balanced contributions in research, teaching, leadership, and student empowerment make him a key figure in the region’s academic and technological advancement. As technology evolves, so does his mission: to build smarter, more sustainable futures through the power of education and innovation.

 📚 TOP NOTES PUBLICATIONS

Title: Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis

    • Authors: M. Al-Rajab, J. Lu, Q. Xu

    • Journal: Computer Methods and Programs in Biomedicine

    • Year: 2017

Title: Parking problems in Abu Dhabi, UAE toward an intelligent parking management system “ADIP: Abu Dhabi Intelligent Parking”

    • Authors: S.A. Alkheder, M.M. Al Rajab, K. Alzoubi

    • Journal: Alexandria Engineering Journal

    • Year: 2016

Title: A framework model using multifilter feature selection to enhance colon cancer classification

    • Authors: M. Al-Rajab, J. Lu, Q. Xu

    • Journal: PLOS ONE

    • Year: 2021

Title: Quality Pointpal: AI-enhanced redefinition of social networking for sustainable digital usage and genuine human connections

    • Authors: O.O. Ahmed, S.I.T. Islam, S.I. Hamdan, M. Al-Rajab, I. Alqatawneh, A. Al-Sartawi, et al.

    • Journal: Operational Research in Engineering Sciences: Theory and Applications

    • Year: 2024

Title: AI-Powered Smart Book: Enhancing Arabic Education in Palestine with Augmented Reality

    • Authors: M. Al Rajab, S. Odeh, S. Hazboun, E. Alheeh

    • Journal: International Symposium on Ambient Intelligence

    • Year: 2023

Feng Tian | Big Data Analytics | Best Researcher Award

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Prof Dr. Feng Tian | Big Data Analytics | Best Researcher Award

Hebei University of Engineering, China

PUBLICATION PROFILE

Scopus

INTRODUCTION 🌟

Prof. Dr. Feng Tian is a distinguished academic leader and researcher in the field of medical data science and bioinformatics. Currently, he serves as the Dean of the School of Medicine and the Director of the Hebei Key Laboratory of Medical Data Science at Hebei University of Engineering. His work is focused on integrating artificial intelligence with health big data, contributing significantly to the fields of bioinformatics and public health policy.

EARLY ACADEMIC PURSUITS 🎓

Dr. Tian’s academic journey began with a Bachelor’s degree in Biology from Tsinghua University, one of China’s most prestigious institutions. He pursued his Ph.D. in Bioinformatics at Tsinghua University from 2004 to 2009, where his research laid the foundation for his later contributions to the study of molecular biology and bioinformatics. His education provided him with a deep understanding of biological data analysis, which he later applied to medical research.

PROFESSIONAL ENDEAVORS 💼

Dr. Tian’s professional trajectory includes several key academic appointments. He has been a Professor at the School of Medicine, Hebei University of Engineering, since 2021. Prior to this, he gained valuable international experience as a Visiting Scholar at the National Center for Data Mining at the University of Illinois at Chicago (UIC) in 2007-2008. His career has been marked by a commitment to bridging the gap between artificial intelligence and healthcare.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Tian’s research interests are multifaceted, focusing on the development and application of AI in health big data, bioinformatics, and public health policy. His research has greatly advanced the understanding of molecular subtyping and the minimal residual disease (MRD) mechanisms in acute lymphoblastic leukemia (ALL). By integrating multi-omics data and utilizing cutting-edge technologies, Dr. Tian has made groundbreaking contributions to the medical field, particularly in the context of cancer research and personalized medicine.

IMPACT AND INFLUENCE 🌍

Dr. Tian’s work has had a profound impact on both the scientific community and public health sectors. His AI-driven innovations in medical data analysis are paving the way for more accurate and personalized healthcare. The algorithms and platforms he has developed have not only enhanced tumor diagnosis and drug screening but also contributed to improving public health practices in China. His leadership in the field of medical data science has helped establish Hebei University of Engineering as a leading institution in AI-driven health research.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Tian has authored numerous publications in prestigious journals, with his work frequently cited by peers in the bioinformatics and medical research communities. His contributions include groundbreaking studies such as the development of a data processing system for miRNA expression profiling, as well as research into the regulatory impacts of transcription factors across species. More recently, his work has explored deep learning models for prehospital emergency classification and the molecular mechanisms of leukemia. Notable publications include:

  1. Tian F, Zhang H, Zhang X, et al. “miRAS: A Data Processing System for miRNA Expression Profiling Study.” BMC Bioinformatics, 2007.

  2. Tian F, Wu Y, Zhou Y, et al. “A New Single Nucleotide Polymorphism Genotyping Method.” Clin Chem Lab Med, 2008.

  3. Tian F, Xu W, Tian F, et al. “ETV6::ACSL6 Translocation-Driven Super-Enhancer Activation.” Haematologica, 2024.

His academic contributions continue to shape ongoing research in medical data science.

HONORS & AWARDS 🏅

Dr. Tian has been the recipient of several prestigious awards, recognizing his contributions to medical research and technology. Notable honors include:

  • First Prize, Hebei Provincial Science and Technology Progress Award, for his research on multi-omics AI algorithms in tumor diagnosis and anti-tumor drug screening (September 2024).

  • Second Prize, 2024 Invention and Entrepreneurship Achievement Award, China Association of Inventions, for his work in AI models in public health (July 2024).

  • First Prize, Hebei Medical Science and Technology Award, for his research on reducing residual risk after nucleic acid testing (May 2021).

These accolades reflect his leadership and innovation in the fields of health big data, bioinformatics, and AI applications in healthcare.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Tian’s legacy in the academic and medical fields is poised for significant growth. His ongoing research aims to further revolutionize the application of artificial intelligence in health data analysis, with an emphasis on cancer research and public health policy. His innovative work continues to shape the future of personalized medicine and healthcare, and he is dedicated to advancing his research in the coming years to further improve public health outcomes globally.

FINAL NOTE ✨

Prof. Dr. Feng Tian stands at the forefront of the intersection between artificial intelligence and healthcare. His pioneering research, leadership, and commitment to applying AI in medical data science have established him as a key figure in his field. With numerous accolades, publications, and ongoing contributions to healthcare and bioinformatics, Dr. Tian’s work continues to inspire the next generation of researchers and healthcare professionals. His legacy will undoubtedly shape the future of medical data science for years to come.

TOP NOTES PUBLICATIONS 📚

Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks

    • Authors: Not listed in your excerpt, but attributed to the Flynet project

    • Journal: Bioinformatics

    • Year: 2009

DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification

    • Authors: X. Zhang, H. Zhang, L. Sheng, F. Tian*

    • Journal: IEEE Access

    • Year: 2022

ETV6::ACSL6 translocation-driven super-enhancer activation leads to eosinophilia in acute lymphoblastic leukemia through IL-3 overexpression

    • Authors: Xu W*, Tian F*, Tai X, Song G, Liu Y, Fan L, Weng X, Yang E, Wang M, Bornhäuser M, Zhang C, Lock RB, Wong JWH, Wang J, Jing D, Mi JQ

    • Journal: Haematologica

    • Year: 2024

 PU.1 eviction at lymphocyte-specific chromatin domains mediates glucocorticoid response in acute lymphoblastic leukemia

    • Authors: Dominik Beck#,, Honghui Cao#, Feng Tian#, Yizhou Huang#, Miao Jiang, Han Zhao, Xiaolu Tai, Wenqian Xu, Hansen J Kosasih, David J Kealy, Weiye Zhao, Samuel J Taylor, Gaoxian Song, Diego Chacon-Fajardo, Yashna Walia, Meng Wang, Adam A Dowle, Andrew N Holding, Katherine S Bridge, Chao Zhang, Jin Wang, Jian-Qing Mi, Richard B Lock, Charles E. de Bock*, Duohui Jing*

    • Journal: Nature Communications

    • Year: 2024

 Single-Cell Atlas Reveals Tumorigenic Profiles and Immune Dynamics of Adrenal Incidentalomas

    • Authors: Meng Wang#, Guangmin Zheng#, Xiaoyong Hu#, Feng Tian#, Tuo Li, Zheng Zhang, Kai Gong, Shiwei Chen, Lin Yuan, Yu Qi, Lin Li, Daofu Cheng, Liu Liu, Fuqiang Liu, Yujing Sun, Xiangdong Fang, Ruxing Zhao*, Bing Liu*, Chao Zhang*

    • Journal: Advanced Science

    • Year: 2025

Spatial analysis of prehospital emergency medical services accessibility: a comparative evaluation of the GAUSS-probability two-step floating catchment area model in Handan City

    • Authors: Tian F, Lu S, Yang Z, Zhao T, Li P, Zhang H

    • Journal: Frontiers in Public Health

    • Year: 2025