Dr. Ali Saleh | Transportation | Best Researcher Award

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Dr. Ali Saleh | Transportation | Best Researcher Award

Széchenyi István University, Germany.

Ali Saleh is a dedicated Syrian 🇸🇾 Civil Engineer and Ph.D. researcher specializing in road engineering and sustainable asphalt technology. With years of hands-on experience in both academia and infrastructure development, Ali blends practical engineering skills with cutting-edge research. He is particularly focused on asphalt mixture optimization using AI and neural networks. Currently based in Germany 🇩🇪, Ali seeks to contribute to advanced civil engineering innovations worldwide.

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🎓 Education

Dr. Ali Saleh holds a Ph.D. in Engineering Sciences from Széchenyi István University, Hungary (2020–2024), where he engaged in cutting-edge research within the field of civil engineering. Prior to his doctoral studies, he completed both a Master of Science in Civil Engineering (2015–2019) and a Bachelor of Science in Civil Engineering (2007–2013) at Tishreen University, Syria. Dr. Saleh’s academic background showcases a strong foundation in structural analysis, a deep commitment to infrastructure development, and a progressive trajectory in engineering sciences.

💼 Experience

In addition to his academic achievements, Dr. Ali Saleh brings valuable professional and teaching experience in the field of civil engineering. He worked as a Civil Engineer at Latakia Port, Syria (2014–2020), where he managed and supervised major infrastructure projects from design through execution, ensuring strict adherence to deadlines and quality standards. Alongside his engineering role, he served as a Lecturer at Tishreen University (2016–2019), where he delivered core civil engineering lectures and guided students academically. He also contributed to technical education as an Instructor at Omega Institute (2018–2019), teaching AutoCAD and Civil 3D to aspiring engineers, bridging theoretical knowledge with practical application.

🔬 Research Interests

♻️ Reclaimed Asphalt Pavement (RAP)

🧠 Machine Learning & Neural Networks in Civil Engineering

🌱 Sustainable Road Construction

🛣️ Bitumen Foaming and Asphalt Performance

📊 Pavement Testing and ITS/HWTT Data Modeling

🏆 Awards & Innovations

🛠️ Invention: Designed a bitumen foaming machine

🏅 Recognized for contributions in road project sustainability and environmental research at various international conferences.

📚 Selected Publications

🛣️ Warm Mix Asphalt (WMA) & Reclaimed Asphalt Pavement (RAP) Research

1. Machine Learning Modelling the Rut Depth of WMA Mixtures with Variable RAP and Foamed Bitumen Content

Journal: Dorogi i mosti (October 9, 2024)
DOI: 10.36100/dorogimosti2024.30.138
Highlights:

Utilizes machine learning models to predict rutting behavior in WMA.

Investigates performance effects of variable RAP and foamed bitumen levels.

Promotes data-driven pavement design and performance prediction.

2. Modelling Indirect Tensile Strength of Warm Mix Asphalt with Variable RAP Content

Journal: Dorogi i mosti (October 9, 2024)
DOI: 10.36100/dorogimosti2024.30.157
Highlights:

Focuses on indirect tensile strength (ITS) behavior of WMA mixtures.

Models mechanical performance under different RAP inclusion rates.

Supports RAP optimization for maintaining structural integrity.

3. Environmental Impacts of Using Foamed Asphalt

Journal: Dorogi i mosti (April 25, 2023)
DOI: 10.36100/dorogimosti2023.27.296
Highlights:

Evaluates environmental implications of foamed asphalt in road construction.

Considers emissions, energy savings, and recyclability.

Lays groundwork for greener road-building practices.

Prof. Dr. Javier Ruiz-del-Solar | Robotics | Best Researcher Award

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Prof. Dr. Javier Ruiz-del-Solar | Robotics | Best Researcher Award

Universidad de Chile, Chile.

Javier Ruiz-del-Solar S. is a Chilean Full Professor at the Department of Electrical Engineering, Universidad de Chile, and Director of the Advanced Mining Technology Center. With a deep passion for robotics, AI, and mining tech, he has made remarkable contributions to academia and industry, mentoring the next generation of engineers and researchers.

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🎓 Education

Prof. Dr. Javier Ruiz-del-Solar is a distinguished academic with a strong foundation in electrical and electronic engineering. He earned his Doctor-Engineer degree from the Technical University of Berlin, Germany in 1997. Prior to that, he obtained his M.Sc. in Electrical Engineering in 1992 and his undergraduate degree in Electrical Engineering in 1991 from the Universidad Técnica Federico Santa María, Chile. His academic trajectory reflects a solid commitment to excellence in engineering and research.

🧑‍🔬 Experience

Prof. Dr. Javier Ruiz-del-Solar has held numerous prominent academic and editorial positions throughout his career. He serves as a Full Professor at the Universidad de Chile, where he also directs the Advanced Mining Technology Center. His editorial contributions include being an Associate Editor for the IEEE Transactions on Cognitive and Developmental Systems (2017–2023) and a current Advisory Board Member of the Journal of Field Robotics (2022–2024). He also served as an Associate Editor for the Journal of Intelligent and Robotic Systems (2008–2017). In addition, Prof. Ruiz-del-Solar has been the Chairman of the IEEE Latin American Robotics Council since 2003, contributing significantly to the development of robotics research and collaboration across the region.

🔍 Research Interests

His work lies at the intersection of:

🤖 Robotics & Autonomous Systems

🧠 Artificial Intelligence & Deep Learning

⛏️ Mining Technology and Automation

🏆 Awards & Honors

🏅 Member, Chilean Academy of Engineering (since 2009)

🥇 Best Paper Award, RoboCup Symposium (2004, 2015, 2017)

🚀 RoboCup @Home Innovation Award (2007, 2008)

🎤 IEEE Distinguished Lecturer (2008–2009)

👨‍🏫 Best Teacher Award, Universidad de Chile (2007)

📚 Selected Publications

🛠️ Autonomous & Collaborative Mining Systems

1. The Road to the Mine of the Future: Autonomous Collaborative Mining

Journal: Mining (April 2025)
DOI: 10.3390/mining5020025
Key Themes:

Vision of fully autonomous, cooperative mining systems.

Integrates robotic systems, multi-agent collaboration, and intelligent decision-making.

Emphasis on safety, productivity, and sustainability in future mining operations..

🤖 Reinforcement Learning in Mining

2. Autonomous Loading of Ore Piles with Load-Haul-Dump Machines Using DRL

Journal: Expert Systems with Applications (March 2025)
DOI: 10.1016/j.eswa.2024.125770
Highlights:

Application of deep reinforcement learning to optimize ore loading in underground mining.

Demonstrates efficiency gains and reduced human intervention.

3. Control of Heap Leach Piles Using Deep Reinforcement Learning

Journal: Minerals Engineering (July 2024)
DOI: 10.1016/j.mineng.2024.108707
Highlights:

Uses DRL to optimize irrigation and aeration in heap leaching.

Potential for smarter, real-time process control in hydrometallurgy.

🍒 AI and Robotics Beyond Mining

4. Cherry CO Dataset: Detection, Segmentation, and Maturity Recognition

Journal: IEEE Robotics and Automation Letters (June 2024)
DOI: 10.1109/LRA.2024.3393214
Focus:

High-quality dataset for precision agriculture using computer vision.

Supports cherry detection and ripeness classification.

 

 

 

Dr. Ali Altuntepe | Hydrogen Energy | Best Researcher Award

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Dr. Ali Altuntepe | Hydrogen Energy | Best Researcher Award

Sivas of Science and Technology university, Turkey.

Dr. Ali Altuntepe is a Turkish researcher and materials scientist specializing in experimental condensed matter physics, thin film technology, and two-dimensional materials. With a Ph.D. in Mechanical Engineering, his work focuses on hydrogen storage, graphene synthesis, and solar cell enhancement. He is passionate about integrating nanomaterials in renewable energy applications and continues to contribute significantly to the scientific community through numerous high-impact publications and collaborative projects.

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🎓 Education

Dr. Ali Altuntepe has pursued his entire academic journey in Mechanical Engineering at Niğde Ömer Halisdemir University, where he demonstrated a consistent dedication to advanced research in materials science and energy systems. He recently completed his Ph.D. in Mechanical Engineering (2019–2024) with an outstanding GPA of 9.74/10.00. His doctoral thesis focused on the "Investigation of Hydrogen Storage Potential of Two-Dimensional Materials, Metal Hydrides, and Their Compositions," reflecting his deep engagement with sustainable and cutting-edge energy technologies. Prior to this, he earned his Master’s degree in Mechanical Engineering (2017–2019), achieving a GPA of 90.09/100, with a thesis centered on the "Synthesis of Doped and Pristine Graphene." His academic foundation was laid with a Bachelor's degree in the same field (2012–2017), where he graduated with a GPA of 3.35/4.00. Throughout his academic career, Dr. Altuntepe has cultivated expertise in nanomaterials, hydrogen storage systems, and graphene synthesis, positioning him as a strong contributor to both academic and applied research in clean energy and material innovation.

🧑‍🏫 Experience

Dr. Altuntepe has extensive experience in thin film synthesis and characterization. His work includes growing doped and pristine graphene, investigating 2D materials like MoS₂, WS₂, LiH, and NaH, and applying these materials in PEM fuel cells and solar cells. He has presented at international conferences and co-authored a book chapter on sustainable materials in solar technology.

🔬 Research Interests

Graphene and TMDs (MoS₂, WS₂) synthesis

Hydrogen storage materials

Solar cell enhancement using 2D materials

Thin film deposition techniques (CVD, PVD, E-beam)

Materials characterization (XRD, SEM, Raman, XPS, etc.)

Transparent conductive oxides (TCOs)

Integration of nanomaterials into composite and optoelectronic systems

🏆 Awards & Achievements

Co-authorship in a prestigious Elsevier publication:
Sustainable Materials Solutions for Solar Energy Technologies (2021)

Oral presentations at international conferences including ICSM and MSNG

High citation record with over 20 peer-reviewed journal articles

📚 Selected Publications

☀️ Advanced Solar Cell Materials

1. Boron Doped Graphene and MoS₂-Based Ultra-Thin Schottky Junction Solar Cell

Journal: Optical Materials (May 2025)
DOI: 10.1016/j.optmat.2025.116828
Highlights:

Integrates boron-doped graphene with MoS₂ to form an ultra-thin Schottky junction.

Aims to enhance charge transport and light absorption.

Promising for lightweight and high-efficiency PV applications.

2. Nitrogen Doped Single Layer Graphene for CZTS-Based Thin Film Solar Cells

Journal: Optical Materials (2024)
DOI: 10.1016/j.optmat.2024.115167
Highlights:

Uses nitrogen doping to tune electronic properties of graphene.

Applied in CZTS (Copper Zinc Tin Sulfide) solar cells — known for being earth-abundant and non-toxic.

💨 Hydrogen Storage and Fuel Cells

3. Optimizing Hydrogen Storage and Fuel Cell Performance Using Carbon-Based Materials

Journal: Hydrogen (March 2025)
DOI: 10.3390/hydrogen6020022
Highlights:

Studies effects of surface area and pressure on carbon-based hydrogen storage.

Bridges material design with real-world performance in fuel cells.

4. Hydrogen Storage Capacity of Two-Dimensional MoS₂

Journal: International Journal of Hydrogen Energy (2024)
DOI: 10.1016/j.ijhydene.2023.12.120
Highlights:

Focus on MoS₂ for reversible hydrogen storage.

Explores adsorption behavior on 2D surfaces.

5. Investigating Surface Area and Hydrogen Pressure Effects on LiH and NaH

Journal: Journal of Solid State Chemistry (2024)
DOI: 10.1016/j.jssc.2023.124483
Highlights:

Dives into metal hydrides (LiH and NaH).

Correlates structural properties with storage performance under different pressures.

 

 

Prof. Dr. László Gáspár | Road Engineering | Best Researcher Award

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Prof. Dr. László Gáspár | Road Engineering | Best Researcher Award

KTI Non-profit Ltd, Hungary.

Dr. habil. László GÁSPÁR is a distinguished Hungarian civil engineer, researcher, and professor emeritus renowned for his expertise in road engineering, pavement and bridge management, and sustainability in infrastructure. He has made an exceptional impact in academia and research through decades of groundbreaking contributions to transport engineering and infrastructure sustainability. He currently serves as a research professor at the KTI Hungarian Institute for Transport Sciences and Logistics and an emeritus professor at Széchenyi István University. Fluent in five languages, Dr. Gáspár has dedicated his life to advancing civil engineering, mentoring PhD students, and contributing to international collaborations.

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🎓 Education

Dr. Gáspár earned dual Master of Science degrees from the Technical University of Budapest, first in Civil Engineering (1966) and then in Economic Engineering within the Transport Faculty (1970). His academic journey continued with a Technical University Doctorate (1972), followed by a PhD (Candidate of Technical Sciences, 1979) and a Doctor of Technical Sciences (DSc, 1991). He achieved his habilitation in 1997 and was promoted to full university professor in 2000. He also holds a Euro-engineer diploma (1992) and received an honorary doctorate from Széchenyi István University in 2019.

💼 Experience

With over five decades of professional engagement, Dr. Gáspár's roles span across academia, industry, and public policy. He led soil stabilization and asphalt groups in the 1960s and later directed road laboratories and conducted pioneering research in pavement condition evaluation. His international experience includes study tours in Germany and the USA (Darmstadt, Stuttgart, Berkeley, Ann Arbor). Since 1990, he has chaired or participated in numerous global conferences, led or reviewed 12+ EU-funded projects, and served on scientific committees and doctoral councils. His dedication to research mentoring is evidenced by supervising both Hungarian and international PhD candidates.

🔬 Research Interests

Dr. Gáspár’s research encompasses a wide range of civil engineering domains:
🛣️ Pavement and bridge management, 🧪 asphalt and cement concrete technology, 🧭 road maintenance, 🔬 quality control, 📊 road condition forecasting, and 🌍 climate change impacts on infrastructure. He is especially recognized as an early advocate for lifetime engineering in Hungary and for integrating BIM and sustainability assessment frameworks into road and bridge design.

🏆 Awards & Honors

His numerous accolades include being an official candidate for the Hungarian Academy of Sciences (2003, 2006, 2009) and receiving the Doctor honoris causa (Dr. h.c.) from Széchenyi István University in 2019. He has also held significant roles such as non-academic representative in the Technical Sciences Section of the Hungarian Academy and project leader of cutting-edge research on climate-resilient roads and innovative rubber-bitumen technology.

📚 Selected Publications 

“Optimizing Foamed Bitumen Mixtures: AI-Based Determination of Ideal RAP and FBC Percentages Using HWTT and ITS Data”, Applied Sciences, 2025 — 🔗 DOI:10.3390/app15073780
🧾 Cited by: forthcoming

“Optimizing Sustainability in Bridge Projects: A Framework Integrating Risk Analysis and BIM with LCSA According to ISO Standards”, Applied Sciences, 2025 — 🔗 DOI:10.3390/app15010383
🧾 Cited by: forthcoming

“The Role of BIM in Managing Risks in Sustainability of Bridge Projects: A Systematic Review with Meta-Analysis”, Sustainability, 2024 — 🔗 DOI:10.3390/su16031242
🧾 Cited by: 3+

“Optimizing Sustainability in Bridge Projects”, Preprint, 2024 — 🔗 DOI:10.20944/preprints202411.1625.v1
🧾 Cited by: pending review

Prof. Dan Meng | Engineering | Best Researcher Award

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Prof. Dan Meng | Engineering | Best Researcher Award

Qingdao Agricultural University, China.

Dan Meng is a Professor at Qingdao Agricultural University, specializing in cement-based composite materials. As a Master's supervisor and a council member of the Qingdao Xihaian New District Society for Civil Engineering Investigation and Design, his research focuses on the multi-scale performance of cement and geopolymer-based materials and their functionalized applications. With over 60 academic publications, 30+ patents, and several awards, he has made significant contributions to civil engineering and material science.

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🎓 Education

Prof. Dan Meng is currently a Visiting Scholar at Western Sydney University. With a strong academic and professional background in civil engineering, he has made significant contributions to the field, particularly in structural engineering and construction materials. As a dedicated member of the Chinese Society for Civil Engineering, Prof. Meng actively participates in research collaborations, technical discussions, and knowledge exchange initiatives aimed at advancing the discipline. His expertise and commitment to innovation continue to influence both academia and industry, fostering sustainable and resilient infrastructure development.

💼 Experience

Professor Dan Meng is a distinguished faculty member at Qingdao Agricultural University, where he plays a pivotal role in advancing civil engineering education and research. As a Council Member of the Qingdao Xihaian New District Society for Civil Engineering Investigation and Design, he actively contributes to the development of engineering standards and best practices. With a strong research portfolio, he has successfully led 17 completed and ongoing research projects, addressing critical challenges in civil engineering. Additionally, his expertise extends to industry and consultancy, where he has been involved in 12 impactful projects, bridging the gap between academia and practical engineering solutions.

🔬 Research Interests

Cement-Based Composite Materials 🏗️

Geopolymer-Based Materials 🔬

Multi-Scale Performance of Construction Materials 📏

Functionalized Applications of Cementitious Materials

🏆 Awards & Achievements

🏅 Second Prize – Science & Technology Progress (Department & Bureau Level)

🏅 Second Prize – Humanities & Social Sciences (Shandong Provincial University Level)

🏅 Second Prize – Social Sciences (Qingdao Level)

📚 Publications

Experimental and Molecular Dynamics Simulation Study on Sulfate Corrosion Resistance of Cellulose-Nanocrystal-Modified ECC

Authors: L. Yu, X. Xu, S. Ni, X. Meng, B. Xu

Journal: Applied Sciences (Switzerland), 2025

Focus: Investigates sulfate corrosion resistance in engineered cementitious composites (ECC) modified with cellulose nanocrystals using experimental and molecular dynamics simulations.

Citations: 0

Study on Improving the Performance of Engineered Cement-Based Composites by Modifying Binder System and Polyethylene Fiber/Matrix Interface

Authors: Q. Fan, Y. Zheng, D. Meng, Y. Liu, H. Wu

Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2025

Focus: Enhances ECC performance through binder system modification and fiber/matrix interface improvements.

Citations: 1

 

 

Dr. Viviane Zotzmann | Intensive Care Medicine | Best Researcher Award

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Dr. Viviane Zotzmann | Intensive Care Medicine | Best Researcher Award

Ortenau Klinikum Offenburg-Kehl, Germany.

PD Dr. med. Viviane Zotzmann is a Senior Consultant for Intensive Care Medicine at Ortenau Klinikum, specializing in internal medicine and cardiology with additional expertise in emergency and intensive care medicine. She has trained in both municipal hospitals and the University Hospital of Freiburg. Dr. Zotzmann is currently responsible for two intensive care units in Offenburg and Lahr. Her research focuses on ECMO therapy, with particular interest in survival predictors, quality of life, and functional outcomes post-therapy. She is an active member of professional societies such as DGK, DEGUM, DIVI, and DGIM.

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🎓 Education

Dr. Viviane Zotzmann holds a Doctor of Medicine (Dr. med.) degree from the University of Tübingen (2005). She is a board-certified specialist in Internal Medicine (2013), Cardiology (2017), and Intensive Care Medicine (2018), with further certification in Cardiovascular Intensive and Emergency Medicine (2022). In addition, she is an Advanced Life Support & Pediatric Life Support Provider (2023). Dr. Zotzmann has also completed additional training in Sonography, Emergency Medicine, and Radiation Protection.

🏥 Professional Experience

Dr. Viviane Zotzmann is a highly experienced medical professional specializing in intensive care, cardiology, and emergency medicine. She currently serves as the Head of Intensive Care Medicine at Ortenau Klinikum (2025 – Present). Previously, she held the position of Senior Consultant at Ortenau Klinikum (2023 – 2025), overseeing Cardiology, Pneumology, Angiology, Geriatrics, Intensive Care, and Thoracic Surgery.

From 2020 to 2023, Dr. Zotzmann was the Lead Physician of Medical Intensive Care Units at University Hospital Freiburg, following her role as a Specialist Physician at the same institution (2016 – 2020). Before that, she served as Senior Physician in Internal Medicine/Cardiology at Zollernalbklinikum (2014 – 2015).

Her medical journey began with specialist training in Internal Medicine & Cardiology at KKH Sigmaringen (2010 – 2014), solidifying her expertise in critical and cardiovascular care.

🔬 Research Interests

Extracorporeal Membrane Oxygenation (ECMO) therapy

Predictors of survival in VV-ECMO and VA-ECMO patients

Quality of life and mental health in post-ECMO patients

Pulmonary embolism diagnosis in ICU patients

Advanced intensive care monitoring and life-support techniques

🏆 Awards & Recognitions

Recognized contributor to ECMO research

Published in high-impact journals such as Intensive Care Medicine and Membranes (Basel)

Cited over 1,044 times with an h-index of 18

📚 Selected Publications

Quality of Life and Mental Health in COVID-ARDS Survivors After V-V ECMO Support: Results from the Freiburg ECMO Outcome Study (FEOS)
Journal of Clinical Medicine, 2025-03-24
DOI: 10.3390/jcm14072206
Contributors: Dawid L. Staudacher, Meret Felder, Markus Jäckel, Felix A. Rottmann, Alexander Supady, Xavier Bemtgen, Philipp Diehl, Tobias Wengenmayer, Viviane Zotzmann

Combining Lung Ultrasound and Wells Score for Diagnosing Pulmonary Embolism in Critically Ill COVID-19 Patients
Journal of Thrombosis and Thrombolysis, 2021-07-03
DOI: 10.1007/s11239-020-02323-0
Contributors: Viviane Zotzmann, Corinna N. Lang, Tobias Wengenmayer, Xavier Bemtgen, Bonaventura Schmid, Katharina Mueller-Peltzer, Alexander Supady, Christoph Bode, Daniel Duerschmied, Dawid L. Staudacher

Combining Lung Ultrasound and Wells Score for Diagnosing Pulmonary Embolism in Critically Ill COVID-19 Patients (Preprint)
2020-09-08
DOI: 10.21203/rs.3.rs-70085/v1
Contributors: Viviane Zotzmann, Corinna Nadine Lang, Tobias Wengenmayer, Xavier Bemtgen, Bonaventura Schmid, Katharina Mueller-Peltzer, Alexander Supady, Christoph Bode, Daniel Duerschmied, Dawid L. Staudacher

Venoarterial Extracorporeal Membrane Oxygenation Decannulation Using the Novel Manta Vascular Closure Device
European Heart Journal: Acute Cardiovascular Care, 2020-05-04
DOI: 10.1177/2048872620918707
Author: V. Zotzmann

Are Subpleural Consolidations Indicators for Segmental Pulmonary Embolism in COVID-19?
Intensive Care Medicine, 2020-04-23
DOI: 10.1007/s00134-020-06044-z
Author: V. Zotzmann

 

 

Prof. Dr. Lei Wang | Food Science | Best Researcher Award

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Prof. Dr. Lei Wang | Food Science | Best Researcher Award

Beibu Gulf University, China.

Wang Lei is a Professor at the School of Food Engineering, Beibu Gulf University and a part-time master supervisor at Guangxi University of Science and Technology and Jishou University. He holds a Ph.D. in Engineering from Southwest University. His research primarily focuses on the processing adaptability and ecological high-value utilization of agricultural and sideline products.

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🎓 Education

Prof. Dr. Lei Wang holds a Ph.D. in Engineering from Southwest University 🏫. He is a distinguished researcher and academic with expertise in engineering and technology. His work focuses on advancing innovative solutions in his field, contributing significantly to scientific research and industrial applications. Throughout his career, Dr. Wang has been involved in numerous research projects, publications, and academic collaborations, making a substantial impact on the engineering community. 🚀

👨‍🏫 Experience

Prof. Dr. Lei Wang is a Professor at the School of Food Engineering, Beibu Gulf University 🏫 and a Master Supervisor at Guangxi University of Science and Technology & Jishou University 🎓. His research focuses on food engineering, innovation in food processing technologies, and quality enhancement.

As a Principal Investigator, he has led multiple projects funded by prestigious institutions, including the National Natural Science Foundation of China, Guangxi Key R&D Program, Guangxi Natural Science Foundation, and the Guangxi Colleges and Universities Young and Middle-aged Teachers Basic Capacity Improvement Project.

Dr. Wang also serves as a peer reviewer for leading journals such as LWT-Food Science and Technology, Food Science and Technology International, and Modern Food Science and Technology 📰, contributing to the advancement of scientific research in food engineering.

🏆 Research Interests

Wang Lei specializes in:

Processing adaptability of agricultural products 🌾

Ecological high-value utilization of sideline products ♻️

Food processing technologies 🍞🥛

🏅 Awards & Achievements

Led and participated in multiple national and provincial research projects 🎯

Published 40+ research papers, including 10+ indexed papers 📑

Authored two books and contributed to multiple textbooks 📘

Participated in drafting four industry standards and one enterprise standard 📜

📚 Selected Publications

Effects of barley seedling powder on rheological properties of dough and quality of steamed bread
📖 Food Science and Technology International (2025-03)
🔗 DOI: 10.1177/10820132231188988
👥 Contributors: Xiaohuang Cao, Md. Nahidul Islam, Dandan Lu, Congying Han, Lei Wang, Mingxiong Tan, Yuan Chen, Ning Xin

Lipid and polyphenol removal on the structural, physico-chemical and technological properties of passion fruit epicarp flour
📖 Food Chemistry: X (2025-02)
🔗 DOI: 10.1016/j.fochx.2025.102345
👥 Contributors: Xin Ning, Chengrong Wen, Shimin Chen, Lina Chen, Xiaohui Huang, Lei Wang

Effects of superheated steam processing on the physicochemical properties of sea rice bran
📖 Food Science and Technology International (2023-03)
🔗 DOI: 10.1177/10820132211062711
👥 Contributors: Xiaohuang Cao, Md. Nahidul Islam, Xin Ning, Zhihui Luo, Lei Wang

Corn silk flour fortification as a dietary fiber supplement: Evolution of the impact on paste, dough, and quality of dried noodles
📖 International Journal of Food Engineering (2022-06-27)
🔗 DOI: 10.1515/ijfe-2021-0360
👥 Contributors: Xin Ning, Xiaodong Zheng, Zhihui Luo, Zhilin Chen, Xiaoli Pan, Kena Yu, Zhaoming Liu, Xuerong Huang, Wei Du, Xiaohuang Cao et al.

Evaluation of passion fruit mesocarp flour on the paste, dough, and quality characteristics of dried noodles
📖 Food Science & Nutrition (2022-05)
🔗 DOI: 10.1002/fsn3.2788
👥 Contributors: Xin Ning, Yahan Zhou, Zhen Wang, Xiaodong Zheng, Xiaoli Pan, Zhilin Chen, Qiuping Liu, Wei Du, Xiaohuang Cao, Lei Wang

Fortification of set yogurt with passion fruit juice: Effects on fermentation kinetics, physicochemical properties, and functionality
📖 Journal of Dairy Science (2021-04)
🔗 DOI: 10.3168/jds.2020-19261
👥 Contributors: Xin Ning, Zhihui Luo, Zhilin Chen, Chunyao Zhou, Cuiqing Xie, Wei Du, Lei Wang

 

 

Prof. Dr. Chih-Hsien Hsia | Image Processing | Best Researcher Award

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Prof. Dr. Chih-Hsien Hsia | Image Processing | Best Researcher Award

National Ilan University, Taiwan.

Chih-Hsien Hsia is a distinguished professor and researcher in computer science, specializing in DSP IC Design, Computer Vision, Image Processing, and Cognitive Engineering. He holds dual Ph.D. degrees in Engineering Science from National Cheng Kung University and Electrical & Computer Engineering from Tamkang University, Taiwan. Currently, he serves as a Distinguished Professor at National Ilan University and holds key positions in AI research, industry collaborations, and professional organizations. His contributions to AI, image processing, and intelligent systems have earned him prestigious awards and widespread recognition.

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🎓 Education

Prof. Dr. Chih-Hsien Hsia holds dual Ph.D. degrees in Engineering Science from National Cheng Kung University, Taiwan, and Electrical & Computer Engineering from Tamkang University, Taiwan. His expertise spans multiple engineering disciplines, with a strong focus on cutting-edge technological advancements and interdisciplinary research.

💼 Experience

Prof. Dr. Chih-Hsien Hsia is a Distinguished Professor at National Ilan University (2024 – Present) and serves as the Executive Director of the AI Promotion Office at the same institution. He is also the Director of the AIoX Research Center at National Ilan University (2024 – Present).

Beyond his role at NIU, he has been an Honorary Distinguished Professor at Chaoyang University of Technology since 2022 and a Board Member of the Chinese Society of Consumer Electronics since 2018. Additionally, he holds the position of Vice Chair of the IEEE Taipei Chapter Signal Processing Society (2024 – Present).

Previously, he served as a Professor at National Ilan University (2020 – 2024) and was the Chairperson of the Department of Computer Science at NIU from 2021 to 2024. His leadership and research contributions have significantly advanced AI, signal processing, and computer science education.

🔬 Research Interests

🖥 DSP IC Design

📷 Computer Vision & Image Processing

🧠 Cognitive Engineering

🏆 Awards & Honors

🥇 Taiwan International Science Fair (2025) – First Prize in Computer Science & Engineering

🏅 Best Paper Awards at IEEE Eurasia Conference on IoT, IET International Conference, National Defense Technology Academic Conference (2024)

🌟 World's Top 2% Scientists (2022)

🎖 Outstanding Young Scholar Award – Computer Society of the Republic of China (2018, 2020)

📚 Notable Publications

Finger Vein Recognition Based on Vision Transformer with Feature Decoupling for Online Payment Applications
IEEE Access, 2025 | DOI: 10.1109/ACCESS.2025.3552075
Contributors: Liang-Ying Ke, Yi-Chen Lin, Chih-Hsien Hsia

Artificial Intelligence and Machine Learning in Sensing and Image Processing
Sensors, 2025-03-18 | DOI: 10.3390/s25061870
Contributors: Jing Chen, Miaohui Wang, Chih-Hsien Hsia

An Edge-Cloud Collaborative Scalp Inspection System Based on Robust Representation Learning
IEEE Transactions on Consumer Electronics, 2024 | DOI: 10.1109/TCE.2024.3474911
Contributors: Sin-Ye Jhong, Guan-Ting Li, Chih-Hsien Hsia

Tucker Decomposition and Log-Gabor Feature-Based Quality Assessment for the Screen Content Videos
IEEE Transactions on Instrumentation and Measurement, 2024 | DOI: 10.1109/TIM.2024.3381267
Contributors: Hailiang Huang, Huanqiang Zeng, Jing Chen, Junhui Hou, Chih-Hsien Hsia, Kai-Kuang Ma

Width-Adaptive CNN: Fast CU Partition Prediction for VVC Screen Content Coding
IEEE Transactions on Multimedia, 2024 | DOI: 10.1109/TMM.2024.3410116
Contributors: Chao Jiao, Huanqiang Zeng, Jing Chen, Chih-Hsien Hsia, Tianlei Wang, Kai-Kuang Ma

 

 

 

Prof. Dr. Laima Okuneviciute Neverauskiene | Economic Growth | Best Researcher Award

Published on by Invention Awards

Prof. Dr. Laima Okuneviciute Neverauskiene | Economic Growth | Best Researcher Award

Vilnius Gediminas Technical University, Lithuania.

Dr. Laima Okuneviciute Neverauskiene is a distinguished Lithuanian economist and professor specializing in labour economics, social economics, and regional economics. With over 25 years of academic and research experience, she has contributed significantly to employment policy, social exclusion, and sustainable economic development. She is a professor at Vilnius Gediminas Technical University and has been actively involved in national and international research projects, expert evaluations, and policy-making in the labour market.

Profile

Scopus

🎓 Education

Prof. Dr. Laima Okuneviciute Neverauskiene holds a Ph.D. in Economics (Doctor of Social Sciences) from Vilnius Gediminas Technical University (1999-2005). She also earned a Master’s Degree in Environmental Studies from Vilnius University, Lithuania (1995-1997).

💼 Experience

Prof. Dr. Laima Okuneviciute Neverauskiene is a distinguished professor and researcher at Vilnius Gediminas Technical University, Faculty of Business Management (2007–Present). She also serves as Chief Researcher & Deputy Director at the Institute of Labour Market Research, Lithuanian Social Research Centre (1997–Present). Previously, she worked as a Labour Market Expert at the Lithuanian Labour Exchange, Ministry of Social Security and Labour (1997–2006) and as a Scientific Researcher & Expert at Vilnius University (2008–2016).

Her work includes labour market policy analysis, econometric modeling, regional development studies, and active labour market policies. She has played a key role in the development of employment laws, policy reforms, and international labour research collaborations.

🔬 Research Interests

Dr. Okuneviciute Neverauskiene’s research focuses on:

Labour Economics & Employment Policy

Social & Regional Economics

Hidden Employment & Industrial Relations

Sustainable Development & Business Ecosystems

Microsimulation Models & Econometric Evaluations

She has worked on various national and international projects, contributing to labour market forecasting, social security policies, and economic sustainability strategies.

🏆 Awards & Honors

Best Researcher Award in Labour Economics

European Globalisation Adjustment Fund Expert Recognition

National Excellence Award in Social Policy Research

Distinguished Scholar Honor in Economic Development

📚 Publications

Assessing the Role of Renewable Energy in the Sustainable Economic Growth of the European Union

Authors: Laima Okunevičiūtė Neverauskienė, Virgilijus Dirma, Manuela Tvaronavičienė, Irena Danileviciene

Journal: Energies, 2025

The Impact of Renewable Energy Development on Economic Growth

Authors: Virgilijus Dirma, Laima Okunevičiūtė Neverauskienė, Manuela Tvaronavičienė, Irena Danileviciene, Rima Tamošiūnienė

Journal: Energies, 2024

 

 

Dr. James C. L. Chow | Quantum Computing | Best Researcher Award

Published on by Invention Awards

Dr. James C. L. Chow | Quantum Computing | Best Researcher Award

Princess Margaret Cancer Centre, Canada.

Dr. James Chun Lam Chow, PhD, FCCPM, FInstP, FIET, SMIEEE, PPhys, CPhys, CSci, is a distinguished medical physicist specializing in radiation oncology and artificial intelligence applications in healthcare. He is currently an Associate Professor in Material Science and Engineering at the University of Toronto and a Clinician Investigator at the Princess Margaret Cancer Research Institute. With over two decades of experience in medical physics, his research focuses on AI-driven healthcare solutions, radiation therapy optimization, and Monte Carlo simulations for cancer treatment.

Profile

Google Scholar

Education🎓

Dr. James C. L. Chow earned his PhD in Physics from the University of Hong Kong in 1995 under the supervision of Prof. Peter Fung, following a BSc in Applied Physics (First Class Honours) from City University of Hong Kong in 1992. He was awarded a Croucher Postdoctoral Fellowship at the University of Cambridge (1995-1997), then continued his research as a Postdoctoral Researcher at the University of Toronto (1997-1998) and later as a Postdoctoral Fellow at McMaster University (1998-2000). Transitioning into medical physics, he completed his Medical Physics Residency at the London Regional Cancer Centre (2000-2002), gaining clinical expertise in radiation therapy and medical imaging.

Professional Experience🌟

Dr. James C. L. Chow is an accomplished medical physicist and academic with extensive experience in radiation oncology and materials science. He is currently an Associate Professor in the Department of Materials Science and Engineering at the University of Toronto (2025–Present) and has been an Associate Professor in the Department of Radiation Oncology at the University of Toronto since 2019. In addition to his academic roles, he serves as a Medical Physicist at Princess Margaret Cancer Centre (2005–Present), where he also leads as the Physics On-Call Lead (2010–Present). His research contributions are further reflected in his role as a Clinician Investigator at the Princess Margaret Cancer Research Institute (2023–Present) and his affiliation with the Acceleration Consortium at the University of Toronto (2024–Present).

Previously, Dr. Chow held multiple key positions, including Assistant Professor in Radiation Oncology at the University of Toronto (2006–2019) and Medical Physics Site Lead for Skin Cancer at Princess Margaret Cancer Centre (2010–2015). Before joining Princess Margaret, he worked as a Medical Physicist and Deputy Radiation Safety Officer at Grand River Regional Cancer Centre (2002–2005). He has also contributed to academia as an Adjunct Professor at Ryerson University and the University of Waterloo (2005–2010). His career reflects a deep commitment to advancing medical physics, cancer treatment, and interdisciplinary research in materials science and engineering.

Research Interests📚

Dr. Chow’s research focuses on:

Radiation Oncology & Medical Physics: Treatment optimization using Monte Carlo simulations

Artificial Intelligence in Healthcare: AI-driven diagnostic tools and chatbot applications in oncology

Nanotechnology in Radiation Therapy: Gold nanoparticle-enhanced radiotherapy

Clinical Data Analysis: Predictive modeling for cancer treatment outcomes

Awards & Recognitions🏆

2024 Outstanding Reviewer, Nuclear Engineering and Technology Journal

2024 Most-Viewed Article, JMIR Cancer

2024 Outstanding Author of the Year, AIMS Biophysics Journal

2019 Top Peer Reviewer, Web of Science Group

2012 Outstanding Reviewer, Medical Physics Journal

2010 SciNet Local Resource Allocation Award (1 million supercomputing hours for Monte Carlo simulations)

Selected Publications📖

Gold nanoparticles for drug delivery and cancer therapy
S Siddique, JCL Chow
Applied Sciences 10(11), 3824 (2020) – Cited: 382

Chatbot for health care and oncology applications using artificial intelligence and machine learning: Systematic review
L Xu, L Sanders, K Li, JCL Chow
JMIR Cancer 7(4), e27850 (2021) – Cited: 375

Application of nanomaterials in biomedical imaging and cancer therapy
S Siddique, JCL Chow
Nanomaterials 10(9), 1700 (2020) – Cited: 325

Irradiation of gold nanoparticles by X‐rays: Monte Carlo simulation of dose enhancements and the spatial properties of secondary electron production
MKK Leung, JCL Chow, BD Chithrani, MJG Lee, B Oms, DA Jaffray
Medical Physics 38(2), 624-631 (2011) – Cited: 311

Machine learning in healthcare communication
S Siddique, JCL Chow
Encyclopedia 1(1), 220-239 (2021) – Cited: 142