Florinela Sirbu l Chemical Thermodynamics | Research Excellence Award

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Dr. Florinela Sirbu l Chemical Thermodynamics | Research Excellence Award

Institute of Physical Chemistry “Ilie Murgulescu | Romania

Dr. Florinela Sirbu is a senior research scientist in physical chemistry with long-standing expertise in chemical and electrochemical thermodynamics. She holds a Ph.D. in Chemistry, a postgraduate diploma in advanced studies, and a bachelor’s degree in biochemical engineering, with sustained research experience at a national research institute. Her professional work focuses on experimental determination and modeling of thermophysical properties of electrolyte and non-electrolyte systems, including biomolecule-containing aqueous solutions. Her research skills include advanced density and sound-speed measurements, electrochemical methods, conductivity analysis, and application of classical and modern thermodynamic models, reflecting significant contributions to experimental data generation, theoretical modeling, and scientific research advancement.

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Featured Publications

Partial Molar Volumes, Isentropic Compressibilities, and Partial Molar Expansibilities of N-Methylglycine and D-Glucose in Aqueous Environments

– Journal of Molecular Liquids, 218, 515–524, 2016
Densities, Speeds of Sound, Refractive Indices, Viscosities and Related Thermodynamic Properties for n-Hexadecane + Two Aromatic Hydrocarbons Binary Mixtures

– The Journal of Chemical Thermodynamics, 128, 383–393, 2019
Activity Coefficients of Electrolytes in the NaCl + Na2SO4 + H2O Ternary System from Potential Difference Measurements

– Journal of Chemical & Engineering Data, 56(12), 4935–4943, 2011
Radiochemical Investigations on Natural Mineral Waters from the Bucovina Region, Romania

– Romanian Journal of Physics, 61(5–6), 1051–1066, 2016
Thermophysical Properties of n-Hexadecane + Some Alkylbenzenes Binary Mixtures at Temperatures from 298.15 K to 318.15 K

– Journal of Molecular Liquids, 237, 208–215, 2017

Yingchun Niu l Data Processing | Research Excellence Award

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Mr. Yingchun Niu l Data Processing | Research Excellence Award

Hebei University | China

Mr. Yingchun Niu is a researcher in intelligent information processing with a doctoral background in Control Science and Engineering and strong expertise in artificial intelligence and computer vision. He holds a Ph.D., M.S., and B.S. in engineering and computing-related disciplines and has professional experience as a researcher and faculty member in cyberspace security and computer science. His research interests include point cloud semantic segmentation, uncertainty-aware learning, big data analytics, and visual understanding. His research skills cover deep learning, weakly supervised learning, 3D vision, model uncertainty estimation, and SCI journal publishing, with scholarly recognition demonstrated through high-impact international publications contributing to trustworthy and efficient intelligent perception systems.

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Featured Publications

Weakly Supervised Point Cloud Semantic Segmentation with the Fusion of Heterogeneous Network Features

– Image and Vision Computing, 2024
Beyond Accuracy: More Trustworthy Weakly Supervised Point Cloud Semantic Segmentation with Primary–Auxiliary Structure

– Computers & Electrical Engineering, 2024
Weakly Supervised Point Cloud Semantic Segmentation Based on Scene Consistency

– Applied Intelligence, 2024
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-Aware Semantic Segmentation in Point Clouds

– IEEE Transactions on Geoscience and Remote Sensing, 2023
Beyond-Skeleton: Zero-Shot Skeleton Action Recognition Enhanced by Supplementary RGB Visual Information

– Expert Systems with Applications, 2025

Mahmoud Ahmad l Water Management Resources | Excellence in Research

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Mr. Mahmoud Ahmad l Water Management Resources | Excellence in Research

Széchenyi István University | Hungary

Mr. Mahmoud Ahmad is a PhD student in Civil Engineering at Széchenyi István University with academic and professional expertise in water management resources and civil engineering practice. His education includes a PhD in progress, an MSc in Water and Irrigation Engineering, and a BSc in Civil Engineering, supported by strong academic distinction. His professional experience covers lecturing in water and irrigation engineering at Tishreen University and managing post-earthquake construction projects as a site civil engineer. Mr. Mahmoud Ahmad’s research interests focus on groundwater–surface water interaction, water resources management, and climate-change adaptation, supported by advanced modeling, GIS-based analysis, and recognized academic awards, reflecting strong potential for impactful research and practice.

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Amani Alsam l Data Analysis | Research Excellence Award

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Assist. Prof. Dr. Amani Alsam l Data Analysis | Research Excellence Award

Jazan University | Saudi Arabia

Assist. Prof. Dr. Amani Alsam is an academic researcher specializing in physical chemistry and ultrafast spectroscopy, with expertise in photoinduced charge transfer and excited-state dynamics in molecular and condensed-matter systems. Assist. Prof. Dr. Amani Alsam earned a PhD from KAUST, an MSc from the University of Waterloo, and a BSc from Jazan University, and has held academic and research positions at Jazan University and as a Visiting Research Scholar at the University of Michigan. Her research interests include donor–acceptor materials, conjugated polymers, hybrid interfaces, and semiconductor nanostructures, supported by advanced skills in ultrafast laser spectroscopy, 4D scanning ultrafast electron microscopy, materials synthesis, and device fabrication. Assist. Prof. Dr. Amani Alsam has received competitive scholarships and national research support, contributing impactful publications that advance energy, optoelectronic, and radiation-responsive materials research.

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Featured Publications

Effect of Conjugation Length on Photoinduced Charge Transfer in π-Conjugated Oligomer–Acceptor Dyads
– The Journal of Physical Chemistry A, 2017, 121(26), 4891–4901
Bimolecular Excited-State Electron Transfer with Surprisingly Long-Lived Radical Ions
– The Journal of Physical Chemistry C, 2015, 119(38), 21896–21903
Role of Ag Nanowires and MXenes in Optimizing Flexible, Semitransparent Bifacial Inverted Perovskite Solar Cells for Building-Integrated Photovoltaics: A SCAPS-1D Modeling Approach
– Advanced Theory and Simulations, 2025, 8(3), 2401004
Enhanced Luminescence and Quenching Mechanisms in Na⁺/Co-Doped K₇CaY₂(B₅O₁₀)₃:Tb³⁺ Phosphors under UV Radiation
– Applied Radiation and Isotopes, 20

Bin Zhang l Semantic Segmentation for Autonomous Driving | Research Excellence Award

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Assoc. Prof. Dr. Bin Zhang l Semantic Segmentation for Autonomous Driving | Research Excellence Award

Kanagawa University | Japan

Assoc. Prof. Dr. Bin Zhang is an associate professor and principal investigator specializing in intelligent machines, robotics, and AI-driven systems. Education includes a Ph.D. and M.S. in Mechanical and Intelligent Systems Engineering from The University of Electro-Communications and a B.S. in Automation. Professional experience spans academia and industry, with roles in mechanical engineering education and robotics research. Research interests focus on service robots, autonomous navigation, human–robot interaction, perception, deep learning, and assistive systems. Research skills include robot design, control, SLAM, computer vision, sensor fusion, and machine learning. Awards and honors recognize excellence in robotics, AI applications, and assistive technologies. Overall, Assoc. Prof. Dr. Bin Zhang contributes impactful research and education advancing intelligent robotic systems for society.

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Featured Publications

A Study on Improving the Accuracy of Semantic Segmentation for Autonomous Driving
Computers, Materials & Continua, 2026 · Open Access
A Quantitative Diagnosis Method for Assessing the Severity of Intake Filter Blockage of Heavy-Duty Gas Turbines Based on the Fusion of Physical Mechanisms and Deep Learning
Applied Thermal Engineering, 2025

A Performance Diagnosis Method for Full Gas-Path Components of Heavy-Duty Gas Turbines Based on Model- and Data-Hybrid Drive

Proceedings of the Chinese Society of Electrical Engineering, 2025

An End-to-End Pillar Feature-Based Neural Network Improved by Attention Modules for Object Detection of Autonomous Vehicles

IEEJ Transactions on Electrical and Electronic Engineering, 2025

2D Mapping Considering Potential Occupancy Space of Mobile Objects for a Guide Dog Robot

IEEJ Transactions on Electronics, Information and Systems, 2025

Sibel Cevik Bektas l Energy Management/Optimization | Research Excellence Award

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Dr. Sibel Cevik Bektas l Energy Management/Optimization | Research Excellence Award

Karadeniz Technical University | Turkey

Dr. Sibel Cevik Bektas is an electrical and electronics engineering researcher specializing in energy systems and renewable integration. Education includes undergraduate, postgraduate, and doctoral degrees in electrical engineering from Karadeniz Technical University. Professional experience centers on academic research, peer-reviewed publications, conference contributions, and leadership of a TUBITAK-funded project. Research interests cover optimal energy management, power systems, load forecasting, solar irradiance prediction, and data-driven optimization. Research skills include machine learning, deep learning, time-series forecasting, optimization, MATLAB modeling, and power system analysis. Awards and honors include competitive national research funding. Overall, Dr. Sibel Cevik Bektas contributes impactful, applied solutions advancing energy systems.

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Scenario-Based Data-Driven Approaches for Short-Term Load Forecasting
Energy and Buildings, 2026

Mmasechaba Lebogang Moropane l Environmental Sciences | Research Excellence Award

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Ms. Mmasechaba Lebogang Moropane l Environmental Sciences | Research Excellence Award

 University of the Western Cape | South Africa

Ms. Mmasechaba Lebogang Moropane is a Doctoral Researcher in Environmental and Water Sciences at the University of the Western Cape with an MSc (Summa Cum Laude) and BSc Honours in the same field. Her education integrates remote sensing, hydrology, geospatial analysis, machine learning, and big data analytics. Professionally, she serves as an Earth Science Departmental Research Assistant, supporting teaching and contributing to peer-reviewed journals, policy-oriented reports, and international conferences. Her research interests focus on groundwater-dependent ecosystems, non-perennial rivers, land degradation, and food–water security in semi-arid regions, employing advanced satellite analytics, AI, and XAI. She has received recognition through high-impact publications, peer-review roles, and national and international research collaborations, positioning her as a promising early-career researcher with strong interdisciplinary impact.

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Featured Publications

International Journal of Applied Earth Observation and Geoinformation, 2026
Mmasechaba L. Moropane; Cletah Shoko; Timothy Dube; Dominic Mazvimavi

Jixing Peng l Nutritional Evaluation of Aquatic Products | Research Excellence Award

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Assoc. Prof. Dr. Jixing Peng l Nutritional Evaluation of Aquatic Products | Research Excellence Award

 Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences | China

Jixing Peng is an associate researcher at the Yellow Sea Fisheries Research Institute, Chinese Academy of Fisheries Sciences. Education: Jixing Peng earned a PhD in pharmaceutical chemistry from Ocean University of China in 2015. Professional experience: Since joining the institute, Jixing Peng has presided over or participated in more than 10 national and provincial projects, including National Key R&D Program and NSFC Youth Fund projects. Research interests: nutritional quality evaluation of aquatic products and bioactive natural products from marine organisms. Research skills: chemical analysis, bioactivity evaluation, natural product isolation, and standard development. Awards and honors: over 20 SCI papers (8 first-authored), 5 invention patents, and 5 national/agricultural industry standards. Conclusion: Jixing Peng contributes significantly to marine food science and fisheries innovation.

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Esther Babatunde l Data Analysis Software | Research Excellence Award

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Dr. Esther Babatunde l Data Analysis Software | Research Excellence Award

 University of Ilorin | Nigeria

Dr. Esther Babatunde is a Senior Lecturer and Postdoctoral Research Fellow specializing in chemical engineering with expertise in renewable energy, biomass and solid waste management, clean fuel reaction engineering, and process optimization. She earned her PhD and M.Eng. from the Federal University of Technology, Minna, and B.Tech. from Ladoke Akintola University of Technology. With extensive teaching and research experience, she has contributed to sustainable energy solutions and process innovations. Dr. Babatunde has received multiple awards, including the Global Excellence Stature Award and Q1 Publications Award. Her work bridges academia and industry, advancing clean energy technologies and chemical engineering research.

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Deme Hirko l Water Engineer | Research Excellence Award

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Dr. Deme Hirko l Water Engineer | Research Excellence Award

 Jimma University | Ethiopia

Dr. Deme Hirko is a motivated, results-oriented civil engineer with a PhD (defended November 2025, Stellenbosch University) and over 10 years of academic and research experience in water resources engineering, hydrology, and climate change modelling. His education spans a PhD in Civil Engineering, an MSc in Water Resources and Irrigation Engineering, and a BSc in Hydraulic and Water Resources Engineering. Professionally, Dr. Deme Hirko has served as lecturer, teaching assistant, hydrology analyst, site engineer, and departmental coordinator. His research interests include climate-resilient water allocation, hydrological modelling, and AI applications. He possesses strong skills in machine learning, WEAP, Python, GIS, and HPC, has supervised numerous theses, received institutional recognition for leadership, and is committed to advancing sustainable, data-driven water management through postdoctoral research.

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Featured Publications