Diana Jose | Biorefinery | Best Researcher Award

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Diana Jose | Biorefinery | Best Researcher Award

Mrs. Diana Jose at King Mongkut’s University of Technology North Bangkok, Thailand

Diana Jose is a passionate researcher and microbiologist with diverse experience spanning biotechnology, microbiology, and sustainable bioresource technologies. Currently pursuing her Ph.D. at King Mongkut’s University of Technology North Bangkok, she has worked as a Junior Research Fellow and Product Executive in India and Thailand. Diana is actively involved in academic research, publishing multiple SCOPUS and Web of Science-indexed papers, and contributing book chapters in sustainable biorefinery. With excellent communication and analytical skills, she serves as a reviewer and session chair at international conferences, continually expanding her impact in the scientific community. 🌿📘🌏

Publication Profile

Orcid

Academic Background

Diana Jose is pursuing her Ph.D. (2022–2025) at King Mongkut’s University of Technology North Bangkok, Thailand. She holds a Master of Science in Microbiology (2011–2012) from Kannur University, where she earned fourth rank. Her undergraduate studies were completed at St. Pius X College, with a BSc in Microbiology (2008–2010). Diana’s foundational education includes the Higher Secondary Examination from St. Thomas HSS and Secondary Education from St. Mary’s English Medium School in Kerala, India. Her academic journey reflects a consistent dedication to biological sciences and interdisciplinary learning. 📚🧬🧪

Professional Background

Diana’s career bridges both academia and industry. She served as a Junior Research Fellow (2013–2015) at Rajiv Gandhi Centre for Biotechnology, researching biofilm inhibitors funded by DRDO. She also worked as a Product Executive (2017–2019) at Destination Asia, Bangkok, where she managed supplier relations and content delivery. Additionally, she led a research project on tribal plant medicine during her MSc studies. Diana’s experience integrates microbiological research, data analysis, and tourism product management, showcasing her adaptability across scientific and commercial domains. 🔬🌿🌏

Awards and Honors

Diana Jose has received numerous accolades, including Fourth Rank in MSc Microbiology from Kannur University (2012) and the Best Paper Presentation Award at ICUE 2024. She qualified IELTS (Academic) with a 6.5 band score. She served as a Session Chair at the 2nd International Conference on Sustainable Technologies (2025) and as Co-Chair for RI2C in 2021 and 2023. Her active participation and leadership in scientific forums reflect her commitment to academic excellence and professional growth. 🥇📖🌟

Research Focus

Diana’s research focuses on lignocellulosic biomass valorization, deep eutectic solvent (DES) pretreatment, bioethanol production, and green biorefinery processes. She explores sustainable chemical and microbial pathways for renewable energy and value-added bio-products. Her studies cover microbial enzymatic conversion, plant extract formulation, and circular economy models. With multiple SCOPUS and WoS publications, her work supports sustainable development goals and climate action. Diana’s interdisciplinary approach bridges microbiology, environmental science, and green chemistry for sustainable innovation. 🌱🧪🔄

Publication Top Notes

“A Comprehensive Review of Conversion of Rice Biomass into Sustainable Products: A Green Approach Toward a Circular Economy” (2025)

​“Effective Deep Eutectic Solvent Pretreatment in One-Pot Lignocellulose Biorefinery for Ethanol Production” (2024)

“In Vitro α-Amylase and α-Glucosidase Inhibitory Activity of Dioscorin from Dioscorea alata” (2024)

Conclusion​

Dr. Diana Jose is an accomplished and dynamic researcher in the fields of Microbiology, Biofuel, and Sustainable Bioprocessing, currently pursuing her Ph.D. at King Mongkut’s University of Technology North Bangkok. With a strong academic foundation (M.Sc. and B.Sc. in Microbiology), she has made significant contributions to sustainable science through 11 peer-reviewed publications, book chapters with CRC Press and Elsevier, and award-winning conference presentations. Her work as a Junior Research Fellow on a DRDO-funded project, leadership roles in international conferences, and involvement as a journal reviewer reflect her dedication and recognition within the global scientific community. Bridging microbiology, green chemistry, and renewable energy, she exemplifies the qualities of an impactful interdisciplinary researcher. With her consistent academic excellence, innovative research, and active engagement, Dr. Diana Jose stands out as a highly deserving candidate for the “Best Researcher Award.”

 

 

Xuefeng Song | Photocatalysis | Best Researcher Award

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Prof. Dr. Xuefeng Song | Photocatalysis | Best Researcher Award

Prof. Dr. Xuefeng Song, Shanghai Jiao Tong University, China

Prof. Dr. Xuefeng Song is a distinguished materials scientist specializing in functional micro/nanostructures, nanocomposites, and energy applications. He earned his Ph.D. in Materials Science from the Shanghai Institute of Ceramics, Chinese Academy of Sciences, in 2009. He further advanced his research as a Postdoctoral Fellow at the University of Cologne, Germany (2009-2012). Since 2012, he has been a key faculty member at Shanghai Jiao Tong University, leading groundbreaking research in photocatalysis, energy storage, and protective coatings. With over 100 publications in top-tier journals, 4,300+ citations, and 32 invention patents, his contributions to materials science are globally recognized. He has led over 20 major research projects, funded by prestigious institutions like the National Natural Science Foundation of China and the BMBF Fellowship in Germany. His numerous accolades, including the VinFuture Prize nomination and IAAM Fellowship, highlight his impact in the field.

Publication Profile

Google Scholar

Education 🎓📚

Prof. Dr. Xuefeng Song pursued his Ph.D. in Materials Science at the Shanghai Institute of Ceramics, Chinese Academy of Sciences, in 2009, focusing on the controlled synthesis of functional micro/nanostructures. He further enriched his academic expertise through a postdoctoral fellowship at the Institute of Inorganic Chemistry, University of Cologne, Germany, from 2009 to 2012, where he worked on innovative nanocomposite systems. Since 2012, he has been a faculty member at Shanghai Jiao Tong University, contributing to advanced research in energy materials and protective coatings. His academic journey is marked by extensive interdisciplinary research, blending chemistry, physics, and engineering to pioneer new material technologies. He has also contributed to three English-language academic monographs, enhancing global knowledge dissemination. His education provided a solid foundation for his pioneering work in photocatalysis, energy conversion, and nanostructured materials, positioning him as a leading scientist in materials research.

Experience 🏆🔬

Prof. Dr. Xuefeng Song has over a decade of research experience in materials science, focusing on nanostructured materials and energy applications. As a Principal Investigator, he has led over 20 major research projects, including those funded by the National Natural Science Foundation of China, the Shanghai Natural Science Foundation, and the HY Program of the Equipment Development Department. His expertise spans from laboratory research to industrial applications, particularly in photocatalysis, energy storage, and protective coatings. His work has led to significant advancements in sustainable energy solutions and advanced coatings. He has authored over 100 high-impact publications, earning 4,300+ citations, and filed 32 invention patents, with 28 already granted. His leadership in research has positioned him as an influential figure in nanomaterials and their applications in energy-efficient and environmentally friendly technologies, bridging the gap between scientific discovery and real-world innovation.

Awards & Honors 🏅🎖️

Prof. Dr. Xuefeng Song’s contributions to materials science have earned him numerous prestigious honors. He is a VinFuture Prize nominator, recognizing his influence in cutting-edge research. He has been awarded Fellowship of the International Association of Advanced Materials (IAAM) for his impact on materials innovation. As a Science Ambassador for Bentham Science Publishers, he actively promotes scientific advancements. He has also received the SMC-Chenxing Young Scholar Award, recognizing his outstanding early-career achievements. His research excellence has been acknowledged through prestigious talent programs, including the Longcheng Talent Program (Changzhou) and the Class B Scholar of the Ming Shi Zhi Xiang Program (Shaoxing). His global recognition, spanning academia and industry, underscores his exceptional contributions to nanomaterials, energy storage, and advanced coatings, making him a leading scientist in his field.

Research Focus 🔬⚡

Prof. Dr. Xuefeng Song’s research is centered on controlled synthesis of functional micro/nanostructures, the construction of nanocomposite systems, and their applications in photocatalysis, energy storage, and protective coatings. His work in photocatalysis focuses on developing advanced materials for efficient light-driven chemical reactions, crucial for environmental sustainability. His contributions to energy storage and conversion include innovations in battery and supercapacitor technologies, enhancing energy efficiency and performance. His research on protective coatings aims to develop high-performance, durable coatings for industrial applications. His interdisciplinary approach integrates chemistry, nanotechnology, and engineering to create next-generation materials for energy and environmental applications. His research has had a significant impact, with over 100 publications in top-tier journals, 4,300+ citations, and 32 patents, reinforcing his position as a leader in the field of advanced materials science. 🚀

Publication Top Notes

📄 Facile synthesis and hierarchical assembly of hollow nickel oxide architectures bearing enhanced photocatalytic properties | 🔗 X Song, L Gao | 🏛️ The Journal of Physical Chemistry C | 📅 2008 | 🔍 Cited by: 232

📄 Self‐Assembled α‐Fe₂O₃ Mesocrystals/Graphene Nanohybrid for Enhanced Electrochemical Capacitors | 🔗 S Yang, X Song, P Zhang, J Sun, L Gao | 🏛️ Small | 📅 2014 | 🔍 Cited by: 209

📄 Facile Synthesis of Nitrogen-Doped Graphene–Ultrathin MnO₂ Sheet Composites and Their Electrochemical Performances | 🔗 S Yang, X Song, P Zhang, L Gao | 🏛️ ACS Applied Materials & Interfaces | 📅 2013 | 🔍 Cited by: 177

📄 Mapping the surface adsorption forces of nanomaterials in biological systems | 🔗 XR Xia, NA Monteiro-Riviere, S Mathur, X Song, L Xiao, SJ Oldenberg, … | 🏛️ ACS Nano | 📅 2011 | 🔍 Cited by: 160

📄 Fabrication of hollow hybrid microspheres coated with silica/titania via sol–gel process and enhanced photocatalytic activities | 🔗 X Song, L Gao | 🏛️ The Journal of Physical Chemistry C | 📅 2007 | 🔍 Cited by: 156

📄 Covalently Coupled Ultrafine H-TiO₂ Nanocrystals/Nitrogen-Doped Graphene Hybrid Materials for High-Performance Supercapacitor | 🔗 S Yang, Y Lin, X Song, P Zhang, L Gao | 🏛️ ACS Applied Materials & Interfaces | 📅 2015 | 🔍 Cited by: 143

📄 Synthesis, characterization, and gas sensing properties of porous nickel oxide nanotubes | 🔗 X Song, L Gao, S Mathur | 🏛️ The Journal of Physical Chemistry C | 📅 2011 | 🔍 Cited by: 120

📄 Facile synthesis of polycrystalline NiO nanorods assisted by microwave heating | 🔗 X Song, L Gao | 🏛️ Journal of the American Ceramic Society | 📅 2008 | 🔍 Cited by: 116

📄 Synthesis, characterization, and optical properties of well-defined N-doped, hollow silica/titania hybrid microspheres | 🔗 X Song, L Gao | 🏛️ Langmuir | 📅 2007 | 🔍 Cited by: 116

📄 Active Fe₂O₃ nanoparticles encapsulated in porous g-C₃N₄/graphene sandwich-type nanosheets as a superior anode for high-performance lithium-ion batteries | 🔗 M Shi, T Wu, X Song, J Liu, L Zhao, P Zhang, L Gao | 🏛️ Journal of Materials Chemistry A | 📅 2016 | 🔍 Cited by: 106

📄 Heating-Rate-Induced Porous α-Fe₂O₃ with Controllable Pore Size and Crystallinity Grown on Graphene for Supercapacitors | 🔗 S Yang, X Song, P Zhang, L Gao | 🏛️ ACS Applied Materials & Interfaces | 📅 2015 | 🔍 Cited by: 104

📄 Phyllosilicate evolved hierarchical Ni-and Cu–Ni/SiO₂ nanocomposites for methane dry reforming catalysis | 🔗 T Wu, Q Zhang, W Cai, P Zhang, X Song, Z Sun, L Gao | 🏛️ Applied Catalysis A: General | 📅 2015 | 🔍 Cited by: 94

📄 ZnFe₂O₄ nanoparticles-cotton derived hierarchical porous active carbon fibers for high rate-capability supercapacitor electrodes | 🔗 S Yang, Z Han, F Zheng, J Sun, Z Qiao, X Yang, L Li, C Li, X Song, B Cao | 🏛️ Carbon | 📅 2018 | 🔍 Cited by: 90

📄 Surfactant-free hydrothermal synthesis of Cu₂ZnSnS₄ (CZTS) nanocrystals with photocatalytic properties | 🔗 J Wang, P Zhang, X Song, L Gao | 🏛️ RSC Advances | 📅 2014 | 🔍 Cited by: 89

📄 Crumpled nitrogen-doped graphene–ultrafine Mn₃O₄ nanohybrids and their application in supercapacitors | 🔗 S Yang, X Song, P Zhang, L Gao | 🏛️ Journal of Materials Chemistry A | 📅 2013 | 🔍 Cited by: 86

📄 Attapulgite modulated thorny nickel nanowires/graphene aerogel with excellent electromagnetic wave absorption performance | 🔗 F Sun, Q Liu, Y Xu, X Xin, Z Wang, X Song, X Zhao, J Xu, J Liu, L Zhao, … | 🏛️ Chemical Engineering Journal | 📅 2021 | 🔍 Cited by: 83

Conclusion

Prof. Dr. Xuefeng Song stands out as a highly accomplished researcher with a strong publication record, leadership in major projects, and a significant impact in materials science. His contributions to nanostructures, energy storage, and protective coatings, along with his extensive patent portfolio and global recognitions, make him a strong candidate for the Best Researcher Award. 🚀

Zheng Li | Environmental Science | Best Researcher Award

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Dr. Zheng Li | Environmental Science | Best Researcher Award

Dr. Zheng Li, College of environmental sciences and engineering, China

Dr. Zheng Li is a Research Associate at the School of Environmental Sciences and Engineering, Peking University. His expertise lies in environmental planning and management, with a strong research focus on water pollution control, environmental risk assessment, and pollutant migration. He has authored 10 SCI-indexed papers in leading journals such as Journal of Hydrology, Ecotoxicology and Environmental Safety. His research integrates machine learning, neural networks, and isotope tracing to advance environmental sustainability. Dr. Li’s contributions in watershed hydrology and water quality simulation have significantly impacted pollution control strategies. 🌍🔬

Publication Profile

Orcid

Education 🎓

Dr. Zheng Li earned his PhD in Environmental Science from Peking University, specializing in environmental planning, pollution control, and hydrological modeling. His doctoral research focused on heavy metal migration and transformation in sediment-water interfaces. He completed his Master’s in Environmental Engineering with an emphasis on ecological risk assessment and water quality management. His undergraduate studies in Environmental Science and Engineering provided a strong foundation in sustainable development, pollution modeling, and environmental impact assessment. Throughout his academic journey, he has combined theoretical knowledge with practical applications, producing research that influences policy and environmental conservation efforts. 📚🌱

Experience 🏢

Dr. Zheng Li has extensive research experience in environmental risk assessment, hydrological modeling, and heavy metal pollution control. As a Research Associate at Peking University, he has led studies on pollutant behavior, ecological risk assessment, and machine learning applications in water management. He has collaborated on government and industry-funded projects focusing on climate change impact on water ecosystems. His work integrates neural network models and deep learning techniques for predicting pollution trends and mitigation strategies. His experience spans laboratory research, field studies, and policy advising, contributing to sustainable environmental management practices. 🌊🔍

Research Focus 🔬

Dr. Zheng Li specializes in environmental planning, pollution control, and risk assessment. His research explores the migration and transformation of pollutants, with a particular emphasis on heavy metals and their ecological impacts. He employs machine learning, neural networks, and isotope tracing to model pollution trends and hydrological changes. His work contributes to climate change adaptation strategies, watershed management, and sustainable environmental policies. Dr. Li is committed to developing AI-driven predictive models for pollution risk assessment and mitigation planning, ensuring a cleaner and healthier environment. 🌏♻️

Publication Top Notes

  • “Nutrient Release to Qinghai Lake from Buffer Zone Evolution Driven by Climate Change” – Journal of Hydrology, June 2025.​

  • “Climate Change Driven Land Use Evolution and Soil Heavy Metal Release Effects in Lakes on the Qinghai-Tibet Plateau” – Science of The Total Environment, January 2025.​

  • “Principles of Terrestrial Water Distribution Patterns and the Role of Soil Hydraulic Properties” – CATENA, April 2024.​

  • “The Interaction Between Nutrients and Heavy Metals in Lakes and Rivers Entering Lakes” – Ecological Indicators, April 2024.​

  • “Adsorption and Desorption of Heavy Metals at Water-Sediment Interface Based on Bayesian Model” – Journal of Environmental Management, March 2023.​

  • “Spatial Distribution, Ecological Risk, and Human Health Assessment of Heavy Metals in Lake Surface Sections — A Case Study of Qinghai Lake, China” – Environmental Science and Pollution Research, January 2023.​

  • “Temporal and Spatial Distribution and Fluorescence Spectra of Dissolved Organic Matter in Plateau Lakes: A Case Study of Qinghai Lake” – Water, December 2021.​

  • “Plateau River Research: Spatial-Temporal Variations of δ18O and δD in the Water of the Yarlung Tsangpo River and Their Controlling Factors” – Ecotoxicology and Environmental Safety, January 2021.​

  • “Water Environment in the Tibetan Plateau: Heavy Metal Distribution Analysis of Surface Sediments in the Yarlung Tsangpo River Basin” – Environmental Geochemistry and Health, August 2020.​

  • “Plateau River Research: Ecological Risk Assessment of Surface Sediments in the Yarlung Tsangpo River” – Environmental Science and Pollution Research, February 2020.

Hala El-Khozondar | Solar Cells | Best Researcher Award

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Prof. Dr. Hala El-Khozondar | Solar Cells | Best Researcher Award

Professor at Islamic University of Gaza, Palestine, State of

Professor Hala J. El-Khozondar is a distinguished physicist and electrical engineer, currently a Visiting Professor at Imperial College London and a Professor at the Islamic University of Gaza. With expertise in nanomaterials, photonics, and renewable energy, she has made significant contributions to science and education. She has held leadership roles, including department head and research committee chair. Her research spans optical sensors, solar cells, and nonlinear transmission lines. A mentor and advisor, she has supervised numerous students and research projects. Recognized globally, she has received multiple awards for her outstanding contributions to academia and scientific research.

Publication Profile

Google Scholar

Education Background📚🎓

Prof. El-Khozondar earned her Ph.D. in Physics with a minor in Electrical Engineering (1999) and a Master’s in Physics (1995) from New Mexico State University, USA. She previously obtained a Bachelor’s degree in Physics (1987) and a Teaching Certificate Diploma (1989) from Birzeit University, West Bank. Her postdoctoral research was conducted at the Max Planck Institute for Nuclear Physics, Germany. Throughout her academic journey, she has pursued advanced studies in nanotechnology, photonics, and engineering, collaborating with international institutions and contributing to groundbreaking research in material science and electrical engineering.

Professional Experience 🏫🔬

Prof. El-Khozondar is a Distinguished Professor at the Islamic University of Gaza and a Research Fellow at Imperial College London. She has served as the Head of the Electrical Engineering and Smart Systems Department and held leadership roles in quality assurance and research committees. Previously, she worked at the Technical University of Munich and was a Vice Dean for External Relations. Her teaching spans undergraduate and graduate levels, covering physics, electrical engineering, and renewable energy. She has supervised numerous students, contributed to academic policy, and played key roles in scientific collaborations.

Awards and Honors 🏆🎖

Prof. El-Khozondar has received numerous accolades, including the Palestinian Ministry of Higher Education’s Best Researcher Award (2023), IUG’s Best Research Prize (2021), and the TWAS-Aro Prize for Science Diplomacy (2018). She has been honored by ISESCO, DAAD, and the Alexander von Humboldt Foundation for her contributions to science. She is a Fellow of the Islamic World Academy of Sciences and TWAS. Recognized internationally, she has been awarded multiple research fellowships in Germany, Belgium, and Turkey. Additionally, she has been named a TUM Research Alumni Ambassador and recognized for excellence in academic publishing and science diplomacy.

Research Focus 🔬🌍

Prof. El-Khozondar specializes in nanomaterials modeling, photonic crystal-based optical sensors, and solar cell efficiency enhancement. Her work includes Monte Carlo simulations for material evolution, nonlinear transmission lines for microwave applications, and polarization rotation in optical fibers. She explores fiber Bragg grating sensors, electromagnetic radiation effects on tissues, and optical waveguides for nonreciprocal devices. Using MATLAB and OrCad, she develops models for photovoltaic performance. Her interdisciplinary research integrates physics, engineering, and materials science, driving innovation in renewable energy, sensor technologies, and photonics, with a focus on advancing smart systems and sustainable solutions for global scientific challenges.

Publication Top Notes

Design of an isolated renewable hybrid energy system: a case study ⚡🌍
Year: 2022 | Cited by: 113
A review study of photovoltaic array maximum power tracking algorithms ☀️🔋
Year: 2016 | Cited by: 112
Standalone hybrid PV/wind/diesel‐electric generator system for a COVID‐19 quarantine center 🏥🌬️🔋
Year: 2023 | Cited by: 92
Design of one-dimensional refractive index sensor using ternary photonic crystal waveguide for plasma blood samples applications 🩸🔬
Year: 2019 | Cited by: 92
Carbon footprint and energy life cycle assessment of wind energy industry in Libya 🌿💨⚙️
Year: 2024 | Cited by: 84

Conclusion

Professor Hala J. El-Khozondar is a distinguished researcher with a Ph.D. in Physics and a minor in Electrical Engineering, renowned for her contributions to nanomaterials, photonic structures, optical sensing, and renewable energy. With extensive research experience at prestigious institutions such as Imperial College London, Max Planck Institute, and the Technical University of Munich, her work has significantly advanced photonics, fiber optics, and solar energy applications. Her leadership roles as a department head, research committee chair, and quality assurance leader highlight her influence in academia, while her dedication to teaching and mentoring has shaped future generations of engineers and scientists. Recognized internationally, her impactful research and interdisciplinary contributions make her a highly deserving candidate for the Best Researcher Award.
  

 

Hamid Ali | Energy based materials | Best Researcher Award

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Dr. Hamid Ali | Energy based materials | Best Researcher Award

Postdoctoral Researcher at Shenzhen Institute of Information Technology, China

Dr. Hamid Ali is a distinguished materials scientist specializing in Material Science and Engineering with expertise in high-temperature superalloys, high-entropy alloys, heterogeneous catalysis, and advanced nanomaterials. Currently based in Shenzhen, China, he has contributed extensively to materials characterization, computational modeling, and experimental synthesis. His research integrates density functional theory (DFT), first-principles calculations, and catalyst synthesis for developing energy-efficient materials. Dr. Ali has a strong publication record, reflecting his commitment to advancing materials science for real-world applications. 📚🔬

Publication Profile

Google Scholar

Education 🎓

Dr. Ali earned his Ph.D. in Material Science and Engineering, focusing on the fine crystal structure, phase transitions, thermodynamic properties, and site preferences of atoms in high-temperature alloys. His doctoral work also covered heterogeneous catalysis, surface adsorption, and electrocatalysis using g-C₃N₄, MXene frameworks, MOFs, and CMPs. Proficient in XRD, SEM, TEM, FTIR, and thermal analysis, he has leveraged computational tools like MATLAB, VESTA, Materials Studio, VASP, and PHONOPY for material simulations. His academic background combines theoretical modeling and experimental synthesis, equipping him with a robust foundation in advanced materials. 📖⚛️

Experience 🏭

Dr. Ali has extensive experience in materials research, focusing on computational and experimental approaches to material synthesis, catalysis, and characterization. His work involves DFT-based modeling, first-principles calculations, and theoretical simulations for understanding mechanical, elastic, and thermodynamic properties of advanced materials. With expertise in catalyst development, photocatalytic H₂ evolution, CO₂ reduction, and electrocatalysis, he has successfully designed and managed research projects, collaborating with interdisciplinary teams. His ability to bridge theoretical and experimental materials science makes him a valuable asset in innovative material design and energy research. ⚙️🔍

Awards & Honors 🏆

Dr. Ali has been recognized for his significant contributions to material science, earning accolades for his high-impact research, innovative methodologies, and pioneering work in advanced materials. He has received awards for excellence in computational modeling, catalyst design, and interdisciplinary research. His outstanding publications and conference presentations have been acknowledged at international platforms, reinforcing his status as a leading researcher in materials engineering. His contributions to DFT-based simulations, first-principles calculations, and photocatalysis research have been instrumental in shaping advancements in sustainable materials. 🎖️📜

Research Focus 🔬

Dr. Ali’s research spans high-entropy alloys, heterogeneous catalysis, nanomaterials, and computational materials science. His focus includes phase transitions, atomic site preferences, and thermodynamic properties of advanced materials, utilizing DFT, ab initio methods, and computational modeling. His expertise extends to photocatalysis, electrocatalysis, and CO₂ reduction, where he explores MXenes, MOFs, COFs, and CMPs for clean energy applications. His interdisciplinary work integrates material synthesis, adsorption studies, and theoretical calculations, aiming to develop next-generation materials for sustainable energy and catalysis. 🚀💡

 

Publication Top Notes

📖 A review on the synthesis, properties, and characterizations of graphitic carbon nitride (g-C₃N₄) for energy conversion and storage applications | 🏆 Cited by: 110 | 📅 Year: 2023

📖 Recent advances in ground-breaking conjugated microporous polymers-based materials, their synthesis, modification and potential applications | 🏆 Cited by: 93 | 📅 Year: 2023

📖 Recent advances, properties, fabrication and opportunities in two-dimensional materials for their potential sustainable applications | 🏆 Cited by: 72 | 📅 Year: 2023

📖 Nanostructured materials based on g-C₃N₄ for enhanced photocatalytic activity and potential applications: A review | 🏆 Cited by: 63 | 📅 Year: 2022

📖 Recent advances and future perspectives of metal-based electrocatalysts for overall electrochemical water splitting | 🏆 Cited by: 59 | 📅 Year: 2023

📖 Efficiency of a novel nitrogen-doped Fe₃O₄ impregnated biochar (N/Fe₃O₄@BC) for arsenic (III and V) removal from aqueous solution | 🏆 Cited by: 52 | 📅 Year: 2022

📖 Current progresses in two-dimensional MXene-based framework: Prospects from superficial synthesis to energy conversion and storage applications | 🏆 Cited by: 51 | 📅 Year: 2023

📖 Different dimensionalities, morphological advancements and engineering of g‐C₃N₄‐based nanomaterials for energy conversion and storage | 🏆 Cited by: 49 | 📅 Year: 2023

📖 Molecular engineering optimized carbon nitride photocatalyst for CO₂ reduction to solar fuels | 🏆 Cited by: 43 | 📅 Year: 2022

📖 Synergetic effect of bismuth vanadate over copolymerized carbon nitride composites for highly efficient photocatalytic H₂ and O₂ generation | 🏆 Cited by: 37 | 📅 Year: 2022

📖 Developing new-generation covalent organic frameworks as sustainable catalysts: Synthesis, properties, types and solar energy production | 🏆 Cited by: 31 | 📅 Year: 2024

📖 Use of carbon-based advanced materials for energy conversion and storage applications: Recent development and future outlook | 🏆 Cited by: 26 | 📅 Year: 2024

📖 A reasonable approach to describe the atom distributions and configurational entropy in high entropy alloys based on site preference | 🏆 Cited by: 26 | 📅 Year: 2022

📖 Embedding aromatic conjugated monomer within carbon nitride for efficient photocatalytic reduction reactions | 🏆 Cited by: 25 | 📅 Year: 2022

📖 The site preference and doping effect on mechanical properties of Ni₃Al-based γ′ phase in superalloys by combining first-principles calculations and thermodynamic model | 🏆 Cited by: 21 | 📅 Year: 2022

📖 A general approach to simulate the atom distribution, lattice distortion, and mechanical properties of multi-principal element alloys based on site preference | 🏆 Cited by: 20 | 📅 Year: 2023

📖 Emerging breakthroughs in covalent triazine frameworks: From fundamentals towards photocatalytic water splitting and challenges | 🏆 Cited by: 19 | 📅 Year: 2024

📖 Efficient pyrolysis process of lignin over dual catalyst bed for the production of phenols and aromatics | 🏆 Cited by: 19 | 📅 Year: 2022

📖 The ordering behavior of Co₃Al-based γ′ phase with L1₂ structure predicted by the thermodynamic model with support of first-principles calculations | 🏆 Cited by: 17 | 📅 Year: 2022

📖 Recent advances in COF-based framework: Synthesis, potential applications, current challenges and future direction | 🏆 Cited by: 14 | 📅 Year: 2024

Conclusion

Dr. Hamid Ali is a highly suitable candidate for the Research for Best Researcher Award. His work addresses critical scientific challenges and has significant applications in energy materials, catalysis, and advanced material design, making him a strong contender for recognition.

JingQu | Coalbed methane | Best Researcher Award

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Dr. JingQu | Coalbed methane | Best Researcher Award

School of Resources and Geosciences, China University of Mining and Technology, China

Dr. Jing Qu is a dedicated researcher in the field of geological resources, focusing on coalbed methane, coal reservoir characterization, and multi-field coupled seepage behavior. His research interests include gas content correction in deep coalbeds, CT-based digital core processing, and small-scale percolation equipment for laboratories. Dr. Qu has published influential studies in journals such as Energy, Fuel, and AAPG Bulletin, contributing to advancements in methane release and water saturation variation. 🌍📊🔬

Publication Profile

Orcid

Education and Academic Background 🎓

Dr. Jing Qu is currently pursuing a Ph.D. in Geological Resources and Engineering at China University of Mining and Technology (CUMT) in Xuzhou, China, through a combined Master-Doctor program (2022-Present). Prior to this, he earned his M.S. in Mineral Prospecting and Exploration from CUMT (2020-2022). He also holds a Bachelor’s degree in Mineral Prospecting and Exploration from the same institution (2016-2020). Dr. Qu’s academic journey at CUMT has shaped his expertise in geological resources and coalbed methane, laying a solid foundation for his cutting-edge research. 📚🌍

Research Interests 🔬

Dr. Jing Qu’s research focuses on several key areas related to coalbed methane and coal reservoirs. He is particularly interested in developing correction methods for gas content in deep coalbed methane. Additionally, his work involves studying the adsorption-desorption characteristics of coal reservoirs and exploring multi-field coupled seepage behaviors using CT imaging techniques. He also conducts digital core processing of CT data from coal samples, advancing the understanding of coal reservoir dynamics. Another important aspect of his research is the construction of small-scale percolation equipment for laboratory experiments, contributing to more precise experimental analysis. 🛠️🌍

Publications Top Notes 📚

  • Characteristics, mechanism, and prediction model of water saturation variation during gas and water interaction in deep coal reservoirs – Energy, 2025  🔬
  • Variations of CH4 release pathways and processes in progressively pulverized coals: Insights from multi-fractal analysis and experimental validation – Fuel, 2025  🌍
  • Characteristics of fractures in different macro-coal components in high-rank coal based on CT images – Natural Gas Industry, 2022 🏭
  • The analysis of the micro-occurrence state of irreducible water in anthracite fracture network based on digital core – AAPG Bulletin, 2023 🔍
  • Characteristics of a Multi-scale Fracture Network and Its Contributions to Flow Properties in Anthracite – Energy & Fuels, 2021🌱

Aslan Gholami | Renewable Energy | Best Researcher Award

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Dr. Aslan Gholami | Renewable Energy | Best Researcher Award

Dr. Aslan Gholami, Shahid Beheshti University, Iran

Dr. Aslan Gholami 🎓🔬 is an accomplished mechanical engineer specializing in energy conversion and renewable energy systems. He earned his Ph.D. from Shahid Beheshti University (2017–2021), focusing on dust impact on photovoltaic panels, graduating with a GPA of 19.25/20. His M.S. (Isfahan University of Technology) and B.S. (University of Tehran) degrees further emphasized solar energy and nano-coating applications. Dr. Gholami, currently an Assistant Professor at Shahid Beheshti University, teaches solar energy and renewable systems. Honored with awards like Iran’s Best Ph.D. Thesis in Energy, he ranks among the top researchers in his field. His work pioneers sustainable energy solutions. 🌍☀️

 

Publication Profile

Google Scholar

Education and Academic Excellence 🎓✨

Dr. Aslan Gholami has an outstanding academic background in mechanical engineering with a focus on energy conversion. He earned his Ph.D. (2017–2021) from Shahid Beheshti University, excelling with a GPA of 19.25/20, where he conducted groundbreaking research on the dust impact on photovoltaic panel performance 🌞📉. His M.S. (2014–2016) from Isfahan University of Technology explored dust accumulation and nano-coating applications, achieving a GPA of 17.93/20 🌪️🧪. He completed his B.S. (2008–2014) at the University of Tehran, focusing on solar energy systems and earning top project scores 💡. A graduate of NODET High School (2004–2008), he consistently demonstrated academic excellence (19.87/20). 🏅

 

Honors and Awards 🏆🎖️

Dr. Aslan Gholami has been recognized for his exceptional academic and research achievements throughout his career. In 2023, he was ranked 1st among all Post-Doctoral Researchers at Shahid Beheshti University 🌟. He also held the top rank among Ph.D. mechanical engineering students in 2021 and won Iran’s Best Ph.D. Thesis Award in Energy from the Iranian Society of Mechanical Engineers 🥇. His accolades include scholarships from the National Elite Foundation and a Visiting Research Full Scholarship 🌍📚. Earlier, he ranked 1st in M.S. studies at Isfahan University and excelled in the Student Physics Laboratory Olympiad in 2007. 🚀

 

Work Experience and Research Contributions 💼🔬

Dr. Aslan Gholami has made significant contributions as an Assistant Professor at Shahid Beheshti University since 2022, teaching courses such as Solar Energy, Renewable Energies, and Energy Systems Design 🌞📚. He has also conducted advanced software training, including PVsyst, PVsol, and RETScreen 💻. Dr. Gholami investigated solar panel cleaning methods 🌍🔧. His work as a Research Assistant involved international collaborations with universities in Oman, Australia, France, Iraq, and Thailand, focusing on solar energy research 🔬🌐. Notably, he contributed to establishing Solar Thermal and Photovoltaic Laboratories and enhancing solar and wind energy industries’ resilience in collaboration with the National Elite Foundation 🚀⚡.

Research Focus

Dr. Aslan Gholami specializes in solar energy and renewable energy systems, with a particular focus on the impacts of dust accumulation on photovoltaic performance 🌍⚡. His research covers experimental and theoretical studies on solar panel efficiency, self-cleaning coatings, and multi-generation energy systems. Dr. Gholami also investigates photovoltaic modeling, sustainable energy solutions, and the effects of harsh weather conditions on solar energy technologies 💻🌡️. Collaborating internationally, his work supports cleaner energy production and resilience in renewable systems. His expertise extends to software training and optimization of renewable energy technologies for sustainable futures 🌿🚀.

 

Publication Top Notes

  • 🌞 Experimental investigation of dust deposition effects on photo-voltaic output performance – Cited by 292, 2018
  • 🌬️ Experimental study of factors affecting dust accumulation and their effects on the transmission coefficient of glass for solar applications – Cited by 194, 2017
  • 🧴 Experimental study of self-cleaning property of titanium dioxide and nanospray coatings in solar applications – Cited by 104, 2017
  • 🔧 Comprehensive analysis of a multi-generation energy system by using an energy-exergy methodology for hot water, cooling, power and hydrogen production – Cited by 102, 2018
  • ☀️ Photovoltaic potential assessment and dust impacts on photovoltaic systems in Iran – Cited by 94, 2020
  • 🌍 Experimental investigation of a multi-generation energy system for a nearly zero-energy park: A solution toward sustainable future – Cited by 77, 2019
  • 🤖 Multi-criteria photovoltaic potential assessment using fuzzy logic in decision-making: A case study of Iran – Cited by 59, 2020
  • 🏭 Integrated an innovative energy system assessment by assisting solar energy for day and night time power generation: Exergetic and Exergo-economic investigation – Cited by 59, 2018
  • 🔋 Electrical, thermal and optical modeling of photovoltaic systems: Step-by-step guide and comparative review study – Cited by 56, 2022
  • ☄️ Impact of harsh weather conditions on solar photovoltaic cell temperature: Experimental analysis and thermal-optical modeling – Cited by 51, 2023
  • 🌪️ Dust impact on photovoltaic/thermal system in harsh weather conditions – Cited by 51, 2022

 

 

Roghayeh Gavagsaz-ghoachani | Photovoltaic system | Best Researcher Award

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Assoc. Prof. Dr. Roghayeh Gavagsaz-ghoachani | Photovoltaic system | Best Researcher Award

Assoc. Prof. Dr. Roghayeh Gavagsaz-ghoachani, Shahid Beheshti University, Iran

Assoc. Prof. Dr. Roghayeh Gavagsaz-Ghoachani is an expert in Electrical Engineering, with a Ph.D. from the University of Lorraine, France. She has earned several awards, including the ICOME 2024 and ELECTRIMACS 2019 Best Paper Prizes. Dr. Gavagsaz-Ghoachani has published 47 journal papers and 136 conference papers. Currently, she serves as an Associate Professor at Shahid Beheshti University, Iran. Her research focuses on photovoltaic systems, DC microgrids, and power electronics. She is a reviewer for prominent journals like IEEE Transactions on Power Electronics. 🌍📚🔋📡💡

 

Publication Profile

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Education 📚🎓

Assoc. Prof. Dr. Roghayeh Gavagsaz-Ghoachani is a highly qualified Electrical Engineering expert. She earned her Ph.D. in Electrical Engineering from the University of Lorraine, France, in 2012. Prior to that, she completed her M.Sc. in Electrical Engineering from Institut National Polytechnique de Lorraine, France, in 2007. She began her academic journey with a B.Sc. in Electrical Engineering from Ferdowsi University, Mashhad, Iran, in 1994. Dr. Gavagsaz-Ghoachani’s academic path reflects a strong foundation in electrical engineering, contributing to her extensive research and teaching career. 🌍🔌💡

 

Awards and Recognition 🏆🎖️

Assoc. Prof. Dr. Roghayeh Gavagsaz-Ghoachani has received numerous accolades for her outstanding contributions to Electrical Engineering. She was honored with the ICOME 2024 Best Paper Prize and the EVER 2013 Best Paper Prize, recognizing her excellence in research. In 2021, she received the ICREDG Best Paper Prize, followed by another ICREDG Best Paper Prize in 2019. Dr. Gavagsaz-Ghoachani also earned the ELECTRIMACS 2019 Best Paper Prize for her impactful work in the field. These prestigious awards highlight her significant academic achievements and contributions to the engineering community. 🌟📄🔬

 

Professional Experience 👩‍🏫🌍

Assoc. Prof. Dr. Roghayeh Gavagsaz-Ghoachani has an impressive academic career spanning multiple prestigious institutions. Since January 2016, she has served as an Associate Professor at Shahid Beheshti University in Iran, where she continues to contribute significantly to the field of Electrical Engineering. Prior to this, from 2012 to 2016, she worked as a Postdoctoral Researcher at the renowned Université de Lorraine in France. Her diverse professional experiences across both academic and research environments have greatly enriched her expertise and helped shape her distinguished career. 🏫🔬💼

 

Research Focus

Roghayeh Gavagsaz-Ghoachani is a researcher with a strong focus on power electronics, control systems, and renewable energy applications. Her work includes control techniques for DC microgrids, modular converters, photovoltaic systems, and fuel cell applications. She has contributed to advancements in voltage regulation, energy efficiency, and the development of robust control systems for power converters, including the use of nonlinear observers and flatness-based control. Her research also delves into educational innovations, such as video-on-demand learning in engineering. 🔋⚡📚🔧📡

 

Publication Top Notes

  • Decentralized Control of DC Microgrids Using Interconnection and Damping Assignment Passivity-Based Control Technique: Experimental Verification
    IEEE Access
    2024 | Journal article
    DOI: 10.1109/ACCESS.2024.3463690
  • Enhancement of the Commandable Areas of a Modular DC–DC Converter With Anti-Windup Synthesis in Fuel Cell Systems
    IEEE Access
    2024 | Journal article
    DOI: 10.1109/ACCESS.2024.3423456
  • Sustainable Education for Sustainable Future: Art of Storytelling for Enhancing Creativity, Knowledge Retention on the Acme of Successful Education
    IEEE Access
    2024 | Journal article
    DOI: 10.1109/ACCESS.2024.3432030
  • A fast and precise double-diode model for predicting photovoltaic panel electrical behavior in variable environmental conditions
    International Journal of Ambient Energy
    2023-12-31 | Journal article
    DOI: 10.1080/01430750.2023.2173290
  • Revolutionizing Engineering Education: Exploring Experimental Video-on-Demand for Learning
    International Journal of Engineering Pedagogy (iJEP)
    2023-10-25 | Journal article
    DOI: 10.3991/ijep.v13i7.41683
  • Robust Flatness-Based Control With Nonlinear Observer for Boost Converters
    IEEE Transactions on Transportation Electrification
    2023-03 | Journal article
    DOI: 10.1109/TTE.2022.3192217
  • Cascaded Controller for Controlling DC Bus Voltage in Mismatched Input Powers
    IEEE Transactions on Power Electronics
    2022-11 | Journal article
    DOI: 10.1109/TPEL.2022.3186233
  • Operating Mode Analysis of a Modular Converter: Experimental Validation
    IEEE Transactions on Industry Applications
    2022-07 | Journal article
    DOI: 10.1109/TIA.2022.3171527

 

 

 

 

Moonyong Kim | Solar Energy | Academic Engagement Excellence Award

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Dr. Moonyong Kim | Solar Energy | Academic Engagement Excellence Award

Dr. Moonyong Kim, UNSW Sydney, Australia

Dr. Moonyong Kim is a Postdoctoral Fellow at UNSW Sydney, specializing in photovoltaic (PV) technology and sustainability 🌞. Holding a PhD in Photovoltaic and Solar Energy Engineering, he has led interdisciplinary projects with over $5.1M in funding 💰. His research focuses on sustainable PV manufacturing, lifecycle assessments (LCA), and innovations for terawatt-scale production 🔋. Dr. Kim has published 70+ articles and contributed to patents on PV efficiency 🌍. He collaborates with global industry leaders like Trina Solar and JA Solar, driving advancements in material recycling and emissions reduction. He is a member of the Korean Academy of Scientists and Engineers 🏅.

 

Publication Profile

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Academic and Professional Background 🌞

Dr. Moonyong Kim is a Postdoctoral Fellow at UNSW Sydney, specializing in the sustainability of photovoltaic (PV) module manufacturing and lifecycle assessments (LCA) 🌍. He holds a PhD in Photovoltaic and Solar Energy Engineering and has successfully led interdisciplinary projects in PV systems, securing over $5.1M in research funding 💰. With expertise in Python programming and teaching LCA standards, he has published 70+ research articles and contributed to patents. His work focuses on sustainable PV manufacturing and innovations for terawatt-scale production 🔋, fostering collaborations with leading global PV industry partners like Trina Solar and JA Solar 🌐.

 

Research and Innovations 🔬

Dr. Moonyong Kim has been involved in research projects with over $5.1M in funding, focusing on sustainable photovoltaic (PV) manufacturing and innovative PV systems 🌞. His key projects include ARENA initiatives for terawatt-scale PV sustainability, AI-based hetero tandem solar cell development (in collaboration with NRF Korea-Australia), and sustainability roadmap development for JA Solar 🌍. With more than 150 citations in top-tier journals, his work has significantly impacted the field of photovoltaic research 📚. Dr. Kim’s research continues to drive advancements in PV systems, contributing to both academic knowledge and industry applications 🌐.

 

Areas of Research ⚡

Dr. Moonyong Kim’s research focuses on advancing photovoltaic (PV) technology and improving the sustainability of solar energy systems 🌞. His work includes lifecycle assessment (LCA) to evaluate the environmental impact of PV manufacturing 🌍. He is dedicated to innovations in terawatt-scale manufacturing, striving to make large-scale solar production more efficient and sustainable 🔋. His research also covers defect engineering to enhance PV performance and material recycling to minimize waste and improve resource efficiency ♻️. Through these efforts, Dr. Kim aims to contribute to the future of clean energy and sustainable manufacturing practices 🌱.

 

Publication Top Notes  

  • Evidence of an identical firing-activated carrier-induced defect in monocrystalline and multicrystalline silicon – 197 citations (2017) 🌞
  • Design considerations for multi-terawatt scale manufacturing of existing and future photovoltaic technologies – 176 citations (2021) ⚡
  • Hydrogen induced degradation: A possible mechanism for light-and elevated temperature-induced degradation in n-type silicon – 141 citations (2018) 🔋
  • Advanced hydrogenation of dislocation clusters and boron-oxygen defects in silicon solar cells – 133 citations (2015) 🏗️
  • A four-state kinetic model for the carrier-induced degradation in multicrystalline silicon: Introducing the reservoir state – 103 citations (2018) 🌱
  • The role of hydrogenation and gettering in enhancing the efficiency of next‐generation Si solar cells – 102 citations (2017) 🔋
  • Device Design Rules and Operation Principles of High-Power Perovskite Solar Cells for Indoor Applications – 101 citations (2020) 🏡
  • Hydrogen-induced degradation: Explaining the mechanism behind light-and elevated temperature-induced degradation in n-and p-type silicon – 85 citations (2020) ⚡
  • Hydrogen-induced degradation – 78 citations (2018) 🌍
  • Evaluating the Impact of SiNx Thickness on Lifetime Degradation in Silicon – 63 citations (2019) 📉

Pin-Chun Huang | Environmental Science | Best Researcher Award

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Assist. Prof. Dr. Pin-Chun Huang | Environmental Science | Best Researcher Award

Assist. Prof. Dr. Pin-Chun Huang, National Taiwan Ocean University, Taiwan

Dr. Huang is an expert in hydrology and river engineering with extensive experience in rainfall-runoff modeling and flood prediction. He holds a Ph.D. from NTOU and has received numerous awards, including the 2022 Excellent Young Scholars Award from Taiwan’s National Science and Technology Council. He has published widely in high-impact journals, focusing on hydrological and geomorphological systems for flood and coastal inundation forecasting. 🌊💧🌐📚

Publication Profile

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Professional Experience

Assist. Prof. Dr. Pin-Chun Huang has a diverse academic and research background. Since February 2022, he has been serving as an Assistant Professor in the Department of Harbor and River Engineering at National Taiwan Ocean University (NTOU). He also has experience as a Visiting Scholar at several prestigious institutions, including the University of California, Irvine (2019) and Moscow State University (2017). Dr. Huang worked as an Assistant Research Fellow at NTOU’s Center of Excellence for Ocean Engineering from 2018 to 2022. Additionally, he held a postdoctoral position at NTOU from 2016 to 2018. 🌍🔬📚

Education

Assist. Prof. Dr. Pin-Chun Huang has an extensive academic foundation in Harbor and River Engineering from National Taiwan Ocean University (NTOU). He earned his Ph.D. in 2016, following a Master’s degree in 2013, both from NTOU’s Department of Harbor and River Engineering. Dr. Huang’s academic journey began at NTOU in 2007, where he completed his Bachelor’s degree in 2011. His solid educational background equips him with deep expertise in hydrology, hydraulics, and engineering research. 📘🎓🌊

Awards and Honors

Assist. Prof. Dr. Pin-Chun Huang has received numerous prestigious awards throughout his career. In 2022, he was honored with the Excellent Young Scholars Award by Taiwan’s National Science and Technology Council. Dr. Huang also received the Academic Research Advancement Award from National Taiwan Ocean University in 2021. His academic excellence has been recognized with an Honorary Membership in the Phi Tau Phi Scholastic Honor Society (2016), and the Best Paper Award at the Disaster Management Conference (2013). Additionally, he was awarded the Engineering, Science, and Technology Scholarship by China Engineering Consultants in 2011 and 2012. 🏅🎖️📜

Research Interests

 

Assist. Prof. Dr. Pin-Chun Huang’s research interests are focused on surface hydrology and channel hydraulics, aiming to better understand water flow and flood behavior in various environments. His expertise includes rainfall-runoff modeling, which helps predict stormwater runoff, and flood forecasting for urban and rural areas. He also specializes in coastal inundation simulation to evaluate flood risks in coastal regions, integrating storm surge and topographic characteristics. Additionally, Dr. Huang works on geomorphologic analysis, studying the impact of landscape features on hydrological processes. 🌊💧🌍🏞️🌧️

Publication Top Notes

  • “Distinctions of geomorphological properties caused by different flow-direction predictions from digital elevation models” – Cited by: 21, Year: 2016 🌍📊
  • “An efficient method for DEM-based overland flow routing” – Cited by: 21, Year: 2013 🚶‍♂️🌧️
  • “Evaluating the adequateness of kinematic-wave routing for flood forecasting in midstream channel reaches of Taiwan” – Cited by: 21, Year: 2012 🌊🔮
  • “Influence of topographic features and stream network structure on the spatial distribution of hydrological response” – Cited by: 16, Year: 2021 🏞️📈
  • “An effective alternative for predicting coastal floodplain inundation by considering rainfall, storm surge, and downstream topographic characteristics” – Cited by: 11, Year: 2022 🌧️🌊
  • “Improvement of two-dimensional flow-depth prediction based on neural network models by preprocessing hydrological and geomorphological data” – Cited by: 11, Year: 2021 🤖🌐
  • “Efficient DEM‐based overland flow routing using integrated recursive algorithms” – Cited by: 11, Year: 2017 🌍🔄
  • “A simple depression-filling method for raster and irregular elevation datasets” – Cited by: 11, Year: 2015 🏔️🧑‍💻
  • “Assessment of flood mitigation through riparian detention in response to a changing climate–a case study” – Cited by: 9, Year: 2018 🌎🌧️
  • “An alternative for predicting real-time water levels of urban drainage systems” – Cited by: 8, Year: 2023 🌆💧
  • “Analysis of hydrograph shape affected by flow-direction assumptions in rainfall-runoff models” – Cited by: 7, Year: 2020 🌧️🔍
  • “Channel hydrological response function considering inflow conditions and hydraulic characteristics” – Cited by: 5, Year: 2020 🌊⚙️
  • “Channel-flow response function considering the downstream tidal effect and hydraulic characteristics” – Cited by: 3, Year: 2021 🌊🔄
  • “Refinement of the channel response system by considering time‐varying parameters for flood prediction” – Cited by: 3, Year: 2020 🌧️📈
  • “Establishing a shallow-landslide prediction method by using machine-learning techniques based on the physics-based calculation of soil slope stability” – Cited by: 2, Year: 2023 🌍🔮
  • “A novel method of estimating dynamic partial contributing area for integrating subsurface flow layer into GIUH model” – Cited by: 2, Year: 2023 🌍🧠