Assoc. Prof. Dr. Lei Wang | Automatic Control Systems | Best Researcher Award

Assoc. Prof. Dr. Lei Wang | Automatic Control Systems | Best Researcher Award

Wuxi University, China.

Dr. Wang Lei is an Associate Professor at Wuxi University, specializing in intelligent control systems. With a strong background in artificial intelligence applications in automation, he has led over 10 major research projects, published more than 30 peer-reviewed papers, and holds 20+ patents and 11 software copyrights. He has international training experience in Thailand, Taiwan, Poland, and the UK, enriching his global academic perspective.

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πŸŽ“ Education

Dr. Wang Lei pursued extensive academic training, including joint doctoral programs funded by China’s national β€œ111 Plan”, conducting research in institutions like Green Mountain University (Poland) and the University of Southampton (UK). His master's studies included training at Prince Songkhla University (Thailand) and Yunlin University of Science and Technology (Taiwan).

πŸ’Ό Experience

Currently an Associate Professor at Wuxi University, Wang Lei has spearheaded numerous provincial and national research projects, including collaborations with the Ministry of Education, Wuxi Science and Technology Bureau, and the National Natural Science Foundation of China. His editorial roles include reviewing for journals like International Journal of Robust and Nonlinear Control and Security and Communication Networks.

πŸ”¬ Research Interests

His research focuses on the application of artificial intelligence in automatic control systems, covering areas such as iterative learning control, dynamic observers, fuzzy systems, and actuator fault tolerance.

πŸ† Awards & Patents

Principal investigator of 10+ funded projects including Jiangsu Provincial Natural Science and Wuxi β€œLight of Taihu Lake” programs.

Holder of 20+ patents, including β€œA trajectory tracking method for non-repetitive time-varying systems”.

Recognized with support from national initiatives such as the β€œ111 Plan”.

πŸ“š Notable Publications

πŸ†• 2025

Output feedback based PD-type iterative learning fault-tolerant control for uncertain discrete systems with actuator faults
πŸ“˜ Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
πŸ”— DOI: 10.1177/09596518241263003
πŸ‘₯ Yanxia Shen, Wei Zou, Lei Wang

πŸ”¬ 2024

An innovative dynamic observer for nonlinear interconnected systems with uncertainties
πŸ“˜ Transactions of the Institute of Measurement and Control
πŸ—“ Published: 2024-10-23
πŸ”— DOI: 10.1177/01423312241274007
πŸ‘₯ Nan Ji, Lei Wang, Xinggang Yan, Dezhi Xu

Iterative learning control with parameter estimation for non-repetitive time-varying systems
πŸ“˜ Journal of the Franklin Institute
πŸ—“ Published: 2024-02
πŸ”— DOI: 10.1016/j.jfranklin.2024.01.011
πŸ‘₯ Lei Wang, Ziwei Huangfu, Ruiwen Li, Xiewen (Sitman) Wen, Yuan Sun, Yiyang Chen

πŸ“Š 2023

Design of robust fuzzy iterative learning control for nonlinear batch processes
πŸ“˜ Mathematical Biosciences and Engineering
πŸ”— DOI: 10.3934/mbe.2023897
πŸ‘₯ Wei Zou, Yanxia Shen, Lei Wang

A Soft Actor-Critic Approach for a Blind Walking Hexapod Robot with Obstacle Avoidance
πŸ“˜ Actuators
πŸ—“ Published: 2023-10-21
πŸ”— DOI: 10.3390/act12100393
πŸ‘₯ Lei Wang, Li Ruiwen, Ziwei Huangfu, Yishan Feng, Yiyang Chen

Fully Distributed, Event-Triggered Containment Control of Multi-Agent Systems
πŸ“˜ Applied Sciences
πŸ—“ Published: 2023-10-07
πŸ”— DOI: 10.3390/app131911039
πŸ‘₯ Lei Wang, Guanwen Chen, Tai Li, Ruitian Yang

Slowness or Autocorrelation? A serial correlation feature analysis method
πŸ“˜ Journal of Process Control
πŸ—“ Published: 2023-01
πŸ”— DOI: 10.1016/j.jprocont.2022.11.010
πŸ‘₯ Qinghua Li, Zhonggai Zhao, Lei Wang

Mr. Chibuzo Nwabufo Okwuosa | Fault Detection | Best Researcher Award

Mr. Chibuzo Nwabufo Okwuosa | Fault Detection | Best Researcher Award

Kumoh National Institute of Technology, South Korea.

Okwuosa Chibuzo Nwabufo is a Research Ph.D. Scholar at Kumoh National Institute of Technology πŸ‡°πŸ‡·, South Korea, specializing in Mechanical Engineering. With a strong foundation in machine learning, deep learning, and real-time fault diagnostics, his work emphasizes bridging theoretical innovation with industrial application. Chibuzo is passionate about Prognostics and Health Management (PHM), Explainable AI (XAI), and digital twin technologies, aiming to create smart, AI-driven maintenance systems for next-generation industries.

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πŸŽ“ Education

Chibuzo earned both his Master’s and is currently pursuing his Ph.D. in Mechanical Engineering from Kumoh National Institute of Technology, South Korea. His academic focus has been consistently rooted in intelligent fault diagnostics, predictive maintenance, and real-time monitoring technologies.

πŸ’Ό Experience

With over four completed and two ongoing research projects, Chibuzo has hands-on experience in both academia and industry. Notable projects include real-time diagnostics for diaphragm pumps, fault analysis in induction motors, and zinc phosphating coating processes. He has collaborated on industry-sponsored projects and led initiatives involving advanced data-driven solutions for predictive maintenance.

πŸ”¬ Research Interests

His key research domains include:

πŸ”§ Prognostics and Health Management (PHM)

πŸ€– Machine Learning & Deep Learning

🧠 Explainable AI (XAI)

🌐 Digital Twin Technologies

βš™οΈ Real-time Fault Diagnostics

πŸ† Awards & Grants

Chibuzo’s research has been supported by prestigious Korean government grants:

IITP Innovative Human Resource Development for Local Intellectualization

ITRC Program (MSIT, Korea)
These grants facilitated collaborations with industry leaders and funded cutting-edge research in diagnostics and manufacturing innovation.

πŸ“š Selected Publications

πŸ†• Optimizing Defect Detection on Glossy and Curved Surfaces Using Deep Learning and Advanced Imaging Systems

πŸ“… 2025-04-13 | Sensors
πŸ”— DOI: 10.3390/s25082449
πŸ‘¨β€πŸ”¬ Contributors: Joung-Hwan Yoon, Chibuzo Nwabufo Okwuosa, Nnamdi Chukwunweike Aronwora, Jang-Wook Hur
πŸ“Œ Application of deep learning and high-resolution imaging for defect detection on challenging industrial surfaces.


βš™οΈ A Spectral-Based Blade Fault Detection in Shot Blast Machines with XGBoost and Feature Importance

πŸ“… 2024-10-09 | Journal of Sensor and Actuator Networks
πŸ”— DOI: 10.3390/jsan13050064
πŸ‘¨β€πŸ”¬ Contributors: Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Baek Cheon Shin, Jang-Wook Hur
πŸ“Œ Fault detection in mechanical components using spectral features and XGBoost.


πŸ” Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection

πŸ“… 2024-02-29 | Electronics
πŸ”— DOI: 10.3390/electronics13050926
πŸ‘¨β€πŸ”¬ Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
πŸ“Œ Intelligent transformer fault diagnosis using statistical signal analysis and feature engineering.


⚑ Enhancing Transformer Core Fault Diagnosis and Classification through Hilbert Transform Analysis of Electric Current Signals

πŸ“… 2024-01-18 | Preprint
πŸ”— DOI: 10.20944/preprints202401.1371.v1
πŸ‘¨β€πŸ”¬ Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
πŸ“Œ Preprint focusing on enhanced signal processing for electrical fault classification.


🧠 An Intelligent Hybrid Feature Selection Approach for SCIM Inter-Turn Fault Classification at Minor Load Conditions Using Supervised Learning

πŸ“… 2023 | IEEE Access
πŸ”— DOI: 10.1109/ACCESS.2023.3266865
πŸ‘¨β€πŸ”¬ Contributors: Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
πŸ“Œ Machine learning-based fault classification in squirrel cage induction motors under low-load conditions.

 

 

 

Assoc. Prof. Dr. Jessica Fleming | Molecular Biomarkers | Best Researcher Award

Assoc. Prof. Dr. Jessica Fleming | Molecular Biomarkers | Best Researcher Award

The Ohio State University, United States.

Dr. Jessica L. Fleming, PhD, is an accomplished radiobiologist at the James Comprehensive Cancer Center, The Ohio State University. With over a decade of experience in translational oncology research, she specializes in molecular biomarkers and radiation therapy innovations. Dr. Fleming plays a key role in collaborative clinical and research initiatives, especially in glioma and FLASH radiotherapy. She is also a co-founder and former CEO of the Cap City Biohackers, demonstrating her entrepreneurial edge in biomedical innovation.

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πŸŽ“ Education

Dr. Fleming earned her PhD in Molecular, Cellular, and Developmental Biology from The Ohio State University in 2012, following a BS in Biology, Cum Laude, from Ashland University in 2006. Her strong academic foundation was supported by multiple fellowships and research opportunities during her undergraduate and graduate studies.

πŸ§ͺ Experience

Dr. Fleming currently serves as an Associate Radiobiologist at OSU, working with Dr. Arnab Chakravarti. Her journey at OSU began as a graduate student, advancing through postdoctoral research and senior research associate roles. She has led cutting-edge radiobiological studies and was integral to several major clinical protocols. Beyond academia, she was the CEO and Co-Founder of Cap City Biohackers, reflecting her commitment to science outreach and innovation.

πŸ”¬ Research Interests

Radiation oncology and molecular oncology, particularly adult gliomas and biomarkers

FLASH radiotherapy, clinical translation, and toxicity modeling

Tumor heterogeneity and resistance mechanisms

Translational research bridging lab discoveries and patient care

πŸ† Awards & Honors

πŸ₯‡ 2024 ASTRO Annual Meeting Abstract Award

πŸ… Columbus CEO Future 50 Award (2020)

πŸŽ– Best of ASTRO & Basic/Translational Science Abstract Award (2018)

πŸŽ“ Alumni Grants for Graduate Research (2012)

🧬 NSF REU Fellow (2005)

🌟 Track & Field Athletic Scholar and Presidential Scholar (2002–2006)

πŸ“š Selected Publications

Here are some of Dr. Fleming’s key publications, with citation and access details:

Fleming JL et al. (2025) – Comprehensive Molecular Analysis in NRG Oncology/RTOG 9813 – Int J Radiat Oncol Biol Phys (Accepted)

Manring HR, Fleming JL et al. (2025) – FLASH Radiotherapy: From In Vivo Data to Clinical Translation – Hematol Oncol Clin N Am (PMID: 39828472)

Fleming JL, Chakravarti A. (2025) – Molecular Biomarkers in Adult Lower-Grade Gliomas – Cancer J, 31(1): e0758. (PMID: 39841423)
➀ Cited by: 2 articles

Kotecha R, Schiff D, Chakravarti A, Fleming JL et al. (2024) – Management of IDH-Mutated Gliomas – J Clin Oncol, 42(21): 2588-2598. (PMID: 38833641)
➀ Cited by: 15 articles

Becker AP, Becker V, McElroy J, Fleming J et al. (2024) – HMGB2 as Biomarker in Astrocytomas – Cancers (Basel), 16(8): 1516. (PMID: 38672598)
➀ Cited by: 7 articles

Dr. Ali Saleh | Transportation | Best Researcher Award

Dr. Ali Saleh | Transportation | Best Researcher Award

SzΓ©chenyi IstvΓ‘n University, Germany.

Ali Saleh is a dedicated Syrian πŸ‡ΈπŸ‡Ύ 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 πŸ‡©πŸ‡ͺ, Ali seeks to contribute to advanced civil engineering innovations worldwide.

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πŸŽ“ Education

Dr. Ali Saleh holds a Ph.D. in Engineering Sciences from SzΓ©chenyi IstvΓ‘n 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.

πŸ’Ό 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.

πŸ”¬ Research Interests

♻️ Reclaimed Asphalt Pavement (RAP)

🧠 Machine Learning & Neural Networks in Civil Engineering

🌱 Sustainable Road Construction

πŸ›£οΈ Bitumen Foaming and Asphalt Performance

πŸ“Š Pavement Testing and ITS/HWTT Data Modeling

πŸ† Awards & Innovations

πŸ› οΈ Invention: Designed a bitumen foaming machine

πŸ… Recognized for contributions in road project sustainability and environmental research at various international conferences.

πŸ“š Selected Publications

πŸ›£οΈ 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

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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πŸŽ“ 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 TΓ©cnica Federico Santa MarΓ­a, Chile. His academic trajectory reflects a solid commitment to excellence in engineering and research.

πŸ§‘β€πŸ”¬ 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.

πŸ” Research Interests

His work lies at the intersection of:

πŸ€– Robotics & Autonomous Systems

🧠 Artificial Intelligence & Deep Learning

⛏️ Mining Technology and Automation

πŸ† Awards & Honors

πŸ… Member, Chilean Academy of Engineering (since 2009)

πŸ₯‡ Best Paper Award, RoboCup Symposium (2004, 2015, 2017)

πŸš€ RoboCup @Home Innovation Award (2007, 2008)

🎀 IEEE Distinguished Lecturer (2008–2009)

πŸ‘¨β€πŸ« Best Teacher Award, Universidad de Chile (2007)

πŸ“š Selected Publications

πŸ› οΈ 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..


πŸ€– 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.


πŸ’ 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

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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πŸŽ“ Education

Dr. Ali Altuntepe has pursued his entire academic journey in Mechanical Engineering at Niğde Γ–mer 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.

πŸ§‘β€πŸ« Experience

Dr. Altuntepe has extensive experience in thin film synthesis and characterization. His work includes growing doped and pristine graphene, investigating 2D materials like MoSβ‚‚, WSβ‚‚, 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.

πŸ”¬ Research Interests

Graphene and TMDs (MoSβ‚‚, WSβ‚‚) 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

πŸ† 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

πŸ“š Selected Publications

β˜€οΈ Advanced Solar Cell Materials

1. Boron Doped Graphene and MoSβ‚‚-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 MoSβ‚‚ 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 β€” known for being earth-abundant and non-toxic.


πŸ’¨ 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 MoSβ‚‚

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

Focus on MoSβ‚‚ 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. LΓ‘szlΓ³ GΓ‘spΓ‘r | Road Engineering | Best Researcher Award

Prof. Dr. LΓ‘szlΓ³ GΓ‘spΓ‘r | Road Engineering | Best Researcher Award

KTI Non-profit Ltd, Hungary.

Dr. habil. LÑszló 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 IstvÑn University. Fluent in five languages, Dr. GÑspÑr has dedicated his life to advancing civil engineering, mentoring PhD students, and contributing to international collaborations.

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πŸŽ“ Education

Dr. GΓ‘spΓ‘r 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 SzΓ©chenyi IstvΓ‘n University in 2019.

πŸ’Ό Experience

With over five decades of professional engagement, Dr. GΓ‘spΓ‘r'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.

πŸ”¬ Research Interests

Dr. GΓ‘spΓ‘r’s research encompasses a wide range of civil engineering domains:
πŸ›£οΈ Pavement and bridge management, πŸ§ͺ asphalt and cement concrete technology, 🧭 road maintenance, πŸ”¬ quality control, πŸ“Š 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.

πŸ† 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 SzΓ©chenyi IstvΓ‘n 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.

πŸ“š Selected PublicationsΒ 

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

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

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

β€œOptimizing Sustainability in Bridge Projects”, Preprint, 2024 β€” πŸ”— DOI:10.20944/preprints202411.1625.v1
🧾 Cited by: pending review

Prof. Dan Meng | Engineering | Best Researcher Award

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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πŸŽ“ 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.

πŸ’Ό 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.

πŸ”¬ Research Interests

Cement-Based Composite Materials πŸ—οΈ

Geopolymer-Based Materials πŸ”¬

Multi-Scale Performance of Construction Materials πŸ“

Functionalized Applications of Cementitious Materials

πŸ† Awards & Achievements

πŸ… Second Prize – Science & Technology Progress (Department & Bureau Level)

πŸ… Second Prize – Humanities & Social Sciences (Shandong Provincial University Level)

πŸ… Second Prize – Social Sciences (Qingdao Level)

πŸ“š 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

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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πŸŽ“ Education

Dr. Viviane Zotzmann holds a Doctor of Medicine (Dr. med.) degree from the University of TΓΌbingen (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.

πŸ₯ 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.

πŸ”¬ 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

πŸ† 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

πŸ“š 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 JΓ€ckel, 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

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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πŸŽ“ 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. πŸš€

πŸ‘¨β€πŸ« 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 πŸŽ“. 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 πŸ“°, contributing to the advancement of scientific research in food engineering.

πŸ† Research Interests

Wang Lei specializes in:

Processing adaptability of agricultural products 🌾

Ecological high-value utilization of sideline products ♻️

Food processing technologies 🍞πŸ₯›

πŸ… Awards & Achievements

Led and participated in multiple national and provincial research projects 🎯

Published 40+ research papers, including 10+ indexed papers πŸ“‘

Authored two books and contributed to multiple textbooks πŸ“˜

Participated in drafting four industry standards and one enterprise standard πŸ“œ

πŸ“š Selected Publications

Effects of barley seedling powder on rheological properties of dough and quality of steamed bread
πŸ“– Food Science and Technology International (2025-03)
πŸ”— DOI: 10.1177/10820132231188988
πŸ‘₯ 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
πŸ“– Food Chemistry: X (2025-02)
πŸ”— DOI: 10.1016/j.fochx.2025.102345
πŸ‘₯ 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
πŸ“– Food Science and Technology International (2023-03)
πŸ”— DOI: 10.1177/10820132211062711
πŸ‘₯ 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
πŸ“– International Journal of Food Engineering (2022-06-27)
πŸ”— DOI: 10.1515/ijfe-2021-0360
πŸ‘₯ 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
πŸ“– Food Science & Nutrition (2022-05)
πŸ”— DOI: 10.1002/fsn3.2788
πŸ‘₯ 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
πŸ“– Journal of Dairy Science (2021-04)
πŸ”— DOI: 10.3168/jds.2020-19261
πŸ‘₯ Contributors: Xin Ning, Zhihui Luo, Zhilin Chen, Chunyao Zhou, Cuiqing Xie, Wei Du, Lei Wang