Changchun University of Chinese Medicine | China

Mr. Lv Guangfu holds a Ph.D. in Chinese Materia Medica from Changchun University of Chinese Medicine and brings over a decade of experience in pharmaceutical R&D, specializing in drug screening and mechanistic studies of Chinese herbs for anti-tumor, neurological, and psychiatric diseases, with a particular focus on depression treatment strategies. He currently serves as Associate Vice President of R&D in a pharmaceutical company and has contributed significantly to the secondary development of a leading traditional Chinese medicine (TCM) product, establishing corporate standards and elucidating its mechanism of action, which generated RMB 20 million in profit over three years. He has also participated in preclinical research for a novel TCM drug targeting cerebral ischemia, contributing to both pharmacological and toxicological evaluations. Mr. Lv is the holder of one patent and has collaborated extensively with industry partners, producing over 30 peer-reviewed publications. His work has garnered recognition through five Jilin Provincial Science and Technology Progress Awards, reflecting both academic and practical impact. He actively engages with the professional community as a Council Member of the 2nd Board of Specialty Committee of Manchu Clinical Medicine of the World Federation of Chinese Medicine Societies and as a member of the Council of the Chinese Medicine Pharmacology Branch under the China Information Association of Chinese Medicine. His research primarily focuses on drug screening for liver cancer treatment, anti-tumor mechanisms, and depression therapeutics. His studies have attracted significant scholarly attention, earning him an h-index of 12 and more than 420 citations, demonstrating influence in Chinese medicine research and pharmacology. Through his combined industrial and academic contributions, Mr. Lv advances both innovative TCM development and evidence-based mechanistic research. His leadership in projects bridges the gap between traditional medicine and modern pharmaceutical standards, while his publications contribute to global knowledge on herbal pharmacology and drug development.

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Featured Publications

Mechanisms of Baishao and Gancao on major depressive disorder: Network pharmacology and validation. Journal of Traditional Chinese Medicine.

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

Published on 25/04/202525/04/2025 by Invention Awards

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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🎓 Education

Dr. Wang Lei pursued extensive academic training, including joint doctoral programs funded by China’s national “111 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).

💼 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.

🔬 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.

🏆 Awards & Patents

Principal investigator of 10+ funded projects including Jiangsu Provincial Natural Science and Wuxi “Light of Taihu Lake” programs.

Holder of 20+ patents, including “A trajectory tracking method for non-repetitive time-varying systems”.

Recognized with support from national initiatives such as the “111 Plan”.

📚 Notable Publications

🆕 2025

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

🔬 2024

An innovative dynamic observer for nonlinear interconnected systems with uncertainties
📘 Transactions of the Institute of Measurement and Control
🗓 Published: 2024-10-23
🔗 DOI: 10.1177/01423312241274007
👥 Nan Ji, Lei Wang, Xinggang Yan, Dezhi Xu

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

📊 2023

Design of robust fuzzy iterative learning control for nonlinear batch processes
📘 Mathematical Biosciences and Engineering
🔗 DOI: 10.3934/mbe.2023897
👥 Wei Zou, Yanxia Shen, Lei Wang

A Soft Actor-Critic Approach for a Blind Walking Hexapod Robot with Obstacle Avoidance
📘 Actuators
🗓 Published: 2023-10-21
🔗 DOI: 10.3390/act12100393
👥 Lei Wang, Li Ruiwen, Ziwei Huangfu, Yishan Feng, Yiyang Chen

Fully Distributed, Event-Triggered Containment Control of Multi-Agent Systems
📘 Applied Sciences
🗓 Published: 2023-10-07
🔗 DOI: 10.3390/app131911039
👥 Lei Wang, Guanwen Chen, Tai Li, Ruitian Yang

Slowness or Autocorrelation? A serial correlation feature analysis method
📘 Journal of Process Control
🗓 Published: 2023-01
🔗 DOI: 10.1016/j.jprocont.2022.11.010
👥 Qinghua Li, Zhonggai Zhao, Lei Wang

Prof. Jolanta Dorszewska | Neurobiology | Best Researcher Award

Published on 19/04/202519/04/2025 by Invention Awards

Prof. Jolanta Dorszewska | Neurobiology | Best Researcher Award

Poznan University of Medical Sciences, Poland.

Professor Jolanta Dorszewska is a distinguished neuroscientist and full professor at the Laboratory of Neurobiology, Department of Neurology, Poznan University of Medical Sciences, Poland. With over three decades of research and academic leadership, she has made pioneering contributions to the understanding of neurodegenerative diseases, including Alzheimer’s and Parkinson’s diseases. As the head of her department since 2004, she continues to inspire innovation in molecular neurobiology, epigenetics, and neurochemistry.

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🎓 Education

Prof. Dorszewska’s academic journey began at the Faculty of Pharmacy, Poznan University of Medical Sciences, where she earned her MSc in Pharmacy (1987) with distinction. She continued her academic growth with a PhD (1996) in medical sciences and attained postdoctoral habilitation (2004). She became a Full Professor in 2016, after rigorous training and board certifications in pharmaceutical analytics and medical genetics.

💼 Professional Experience

Her professional path is deeply rooted in neuroscience and pharmacology. She served as an assistant in the Departments of Pharmacy and Clinical Neurochemistry before becoming a Research Associate and later the Head of the Laboratory of Neurobiology. Internationally, she gained experience as a Research Scientist in New York (1999-2000). She has also taught extensively, including at the National High Medical School in Piła.

🔬 Research Interests

Prof. Dorszewska’s research covers a rich spectrum—from analyzing lipid and sterol levels in hypoxia to the genetic and molecular pathways of neurodegeneration. Her work involves advanced techniques like HPLC, ELISA, Western Blot, PCR, and focuses on biomarkers, genetic polymorphisms, miRNAs, and apoptosis in diseases such as Alzheimer’s, Parkinson’s, epilepsy, and migraine. She is especially known for studies on homocysteine metabolism and catecholamine gene mutations.

🏆 Awards & Recognition

She has earned numerous accolades and holds editorial and leadership roles in prestigious journals including Frontiers in Molecular Neuroscience, Journal of Integrative Neuroscience, and Current Alzheimer Research. As a Guest Editor for six major neuroscience journals and a member of international neurological associations, her global contributions to science are widely respected. She was also an Honorary Member of the 12th CONy World Congress (2018).

📚 Selected Publications

🧬 Genetics and Parkinson's Disease

Title: Genetic variants of ZNF746 and the level of plasma Parkin, PINK1, and ZNF746 proteins in patients with Parkinson's disease
Journal: IBRO Neuroscience Reports
Date: June 2025
DOI: 10.1016/j.ibneur.2025.01.016
Authors: Jolanta Dorszewska et al.
🔬 Focus: Investigates the role of ZNF746 gene variants and related proteins in the pathophysiology of Parkinson’s disease.

🧠 Neurorehabilitation and Multiple Sclerosis

Title: Kinesiotherapeutic Possibilities and Molecular Parameters in Multiple Sclerosis
Journal: Sclerosis
Date: April 3, 2025
DOI: 10.3390/sclerosis3020013
Authors: Katarzyna Wiszniewska et al., including Jolanta Dorszewska
🧘‍♀️ Focus: Explores physical therapy interventions and their molecular impacts in MS patients.

🦠 Parasitic Infections and Proteinopathies

Title: Unraveling the Role of Proteinopathies in Parasitic Infections
Journal: Biomedicines
Date: March 3, 2025
DOI: 10.3390/biomedicines13030610
Authors: Mikołaj Hurła et al., including Jolanta Dorszewska
🧫 Focus: Connects neurodegenerative proteinopathies with parasitic infection mechanisms.

🧪 Neuropharmacology and Aging

Title: Expression of Neuronal Nicotinic Acetylcholine Receptor and Early Oxidative DNA Damage in Aging Rat Brain—The Effects of Memantine
Journal: International Journal of Molecular Sciences
Date: February 14, 2025
DOI: 10.3390/ijms26041634
Authors: Małgorzata Anna Lewandowska et al., including Jolanta Dorszewska
🧠 Focus: Studies the impact of Memantine on aging-related neurochemical changes.

🧠 Brain Imaging and Migraine

Title: fMRI Insights into Visual Cortex Dysfunction as a Biomarker for Migraine with Aura
Journal: Neurology International
Date: January 21, 2025
DOI: 10.3390/neurolint17020015
Authors: Damian Pikor et al., including Jolanta Dorszewska
🧲 Focus: Uses fMRI to explore visual cortex abnormalities in migraine with aura.

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

Published on 17/04/202517/04/2025 by Invention Awards

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 🇰🇷, 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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🎓 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.

💼 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.

🔬 Research Interests

His key research domains include:

🔧 Prognostics and Health Management (PHM)

🤖 Machine Learning & Deep Learning

🧠 Explainable AI (XAI)

🌐 Digital Twin Technologies

⚙️ Real-time Fault Diagnostics

🏆 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.

📚 Selected Publications

🆕 Optimizing Defect Detection on Glossy and Curved Surfaces Using Deep Learning and Advanced Imaging Systems

📅 2025-04-13 | Sensors
🔗 DOI: 10.3390/s25082449
👨‍🔬 Contributors: Joung-Hwan Yoon, Chibuzo Nwabufo Okwuosa, Nnamdi Chukwunweike Aronwora, Jang-Wook Hur
📌 Application of deep learning and high-resolution imaging for defect detection on challenging industrial surfaces.

⚙️ A Spectral-Based Blade Fault Detection in Shot Blast Machines with XGBoost and Feature Importance

📅 2024-10-09 | Journal of Sensor and Actuator Networks
🔗 DOI: 10.3390/jsan13050064
👨‍🔬 Contributors: Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Baek Cheon Shin, Jang-Wook Hur
📌 Fault detection in mechanical components using spectral features and XGBoost.

🔍 Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection

📅 2024-02-29 | Electronics
🔗 DOI: 10.3390/electronics13050926
👨‍🔬 Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
📌 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

📅 2024-01-18 | Preprint
🔗 DOI: 10.20944/preprints202401.1371.v1
👨‍🔬 Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
📌 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

📅 2023 | IEEE Access
🔗 DOI: 10.1109/ACCESS.2023.3266865
👨‍🔬 Contributors: Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
📌 Machine learning-based fault classification in squirrel cage induction motors under low-load conditions.

Prof. Angelo Schenone | Neuroscience | Best Researcher Award

Published on 11/04/202511/04/2025 by Invention Awards

Prof. Angelo Schenone | Neuroscience | Best Researcher Award

University of Genova, Italy.

Prof. Angelo Schenone is a Full Professor of Neurology at the University of Genova and Director of the Neurological Clinic at IRCCS San Martino Hospital. With a distinguished career spanning over four decades, he has authored more than 330 scientific publications with an h-index of 49 and over 9,500 citations. Prof. Schenone is internationally renowned for his pioneering work on neuromuscular and hereditary neuropathies, and he is a regular invited speaker at both national and international neurological congresses.

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🎓 Education

Prof. Schenone holds a PhD in Neuroscience, complementing a rich clinical training background that includes a Residency in Neurology and Physical Medicine & Rehabilitation. He has also contributed to academic programs such as the Physiotherapy bachelor’s degree and the Master's in Health Professions at the University of Genova.

💼 Experience

His professional journey includes key leadership roles such as Director of the Neurological Clinic (since 2018), President of the Italian Association of Neuropathology (2006–2007), and President of the Italian Association of Peripheral Nervous System (2013–2016). Prof. Schenone has held visiting research appointments at renowned institutions like Mayo Clinic and Wayne State University in the USA, further enriching his global perspective on neurology.

🧠 Research Interests

🧬 Neuromuscular disorders

🧠 Neuropathology & neurobiology

🧬 Neurogenetics and hereditary neuropathies

🧪 Development of preclinical models, molecular genetic mechanisms

🗂️ Contributor to national & international neuropathy registries

🏆 Awards & Honors

🎖️ Key member of SIN and ASNP neurological societies

📚 Contributed to book chapters on neuropathology

📚 Selected Publications

🔗 Neurological long COVID in the outpatient clinic: Is it so long?
S.G. Grisanti, S. Garbarino, M. Bellucci, M. Piana, L. Benedetti
European Journal of Neurology, 2025

🔗 Disease Progression in Charcot-Marie-Tooth Disease Type 4B (CMT4B) Associated With Mutations in Myotubularin-Related Proteins 2 and 13
A. Bertini, M.M. Reilly, C. Pisciotta, L. Dankwa, T. Murakami
European Journal of Neurology, 2025

🔗 AI-Enabled Internet of Medical Things: Architectural Framework and Case Studies
I. Bisio, C. Fallani, C. Garibotto, A. Sciarrone, M. Zerbino
IEEE Internet of Things Magazine, 2025

🔗 High-resolution ultrasound and superb microvascular imaging findings in a case of post-COVID-19 vaccine Parsonage-Turner Syndrome with multiple nerves involvement
F. Zaottini, C. Cabona, F. Pistoia, A.E. Schenone, C. Martinoli
Journal of Clinical Ultrasound, 2025

🔗 Phenotypic spectrum of myelin protein zero-related neuropathies: a large cohort study from five mutation clusters across Italy
A. Bertini, L. Gentile, T. Cavallaro, D. Pareyson, C. Pisciotta
Journal of Neurology, Neurosurgery, and Psychiatry, 2024 – 2 citations

Dr. David Hua | Artificial Intelligence | Best Researcher Award

Published on 11/04/202511/04/2025 by Invention Awards

Dr. David Hua | Artificial Intelligence | Best Researcher Award

Ball State University, United States.

Dr. David M. Hua is an Associate Professor at the Center for Information and Communication Sciences, Ball State University. With a rich academic background and over two decades of teaching, Dr. Hua has become a pivotal figure in the intersection of technology education, cybersecurity, and higher education. He is recognized for mentoring student-led innovation and his contribution to emerging tech curricula including offensive security, private cloud infrastructure, and sustainability in IT.

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🎓 Education

Dr. Hua earned his Ed.D. in Higher Education in 2010 from Ball State University, where he also completed an MBA in Information Systems (2000) and a B.S. in Psychological Science (1991). This diverse academic foundation reflects his commitment to both technical expertise and educational leadership.

💼 Experience

Since July 20, 1998, Dr. Hua has served at Ball State University, advancing to the role of Associate Professor. He began as an Assistant Professor in 2000. His teaching spans undergraduate and graduate levels with courses ranging from cybersecurity and network configuration to cloud technologies. Beyond Ball State, his engagements with other institutions and organizations have broadened his interdisciplinary impact on both students and faculty.

🔬 Research Interests

Dr. Hua’s research interests lie at the crossroads of cybersecurity, AI in mental health surveillance, sustainable IT practices, and technology integration in higher education. He is especially passionate about leveraging machine learning to support mental health outcomes and empower student innovation through data-driven methodologies.

🏆 Awards & Mentorship

Dr. Hua has been an active mentor in various student projects, honors theses, and national competitions like the National Cyber League. He’s also served on several doctoral committees, contributing to dissertations in educational leadership and adult learning. His efforts have earned him recognition as a dedicated mentor, innovator, and academic leader.

📚 Publication

AI-Driven Mental Health Surveillance: Identifying Suicidal Ideation Through Machine Learning Techniques
📅 2025 | Big Data and Cognitive Computing
🧾 Cited by: 3 articles (as of early 2025)
👉 DOI: 10.3390/bdcc9010016

Dr. Hengyu Zhang | Materials Science | Best Researcher Award

Published on 11/04/202511/04/2025 by Invention Awards

Dr. Hengyu Zhang | Materials Science | Best Researcher Award

Soochow University, China.

Dr. Hengyu Zhang (张恒宇), is a passionate Chinese researcher specializing in thermal management and electromagnetic functional textile materials. With a strong academic foundation in textile engineering and chemistry, he is currently serving as a postdoctoral fellow at Soochow University. Dr. Zhang's research bridges innovation and application, particularly in the development of advanced textiles using supercritical processes and electromagnetic functionalities. His work has been widely recognized through awards, publications, and patents.

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🎓 Education

Dr. Hengyu Zhang holds a solid academic background in textile science and engineering. He is currently serving as a Postdoctoral Fellow in Textile Chemistry and Dyeing & Finishing at Soochow University, Suzhou, China (April 2024–Present). Prior to this, he earned his Ph.D. in Textile Materials and Textile Design from Donghua University, Shanghai, China (September 2018–March 2024). His academic journey began with a B.Sc. in Textile Engineering from Qingdao University, Qingdao, China (September 2014–June 2018). This progression reflects his deepening expertise in textile research and innovation, with a strong foundation in both theoretical and applied aspects of textile science.

💼 Experience

Currently a Postdoctoral Fellow at Soochow University, Dr. Zhang previously completed his Ph.D. at Donghua University, one of China's leading textile research institutions. Throughout his academic career, he actively participated in multiple research projects, including those funded by the National Natural Science Foundation of China and Donghua University's Graduate Innovation Fund. His practical experience also includes work on advanced instruments such as SEM, FTIR, and XRD, alongside simulation tools like CST.

🔬 Research Interests

Dr. Zhang’s primary research interests include:

👕 Thermal management textile materials developed using supercritical processes

📡 Electromagnetic functional textiles for wave absorption, shielding, and stealth applications

🧪 Composite materials and nanoarchitectures for multifunctional smart fabrics

📐 Frequency-selective surfaces and gradient impedance structures

🏅 Awards & Honors

🥇 National Scholarship – Sep 2023

🧵 First Prize, China Textile Industry Federation Science & Tech Award – Aug 2023

🎤 Outstanding Reporter, Shanghai Intl. Textile Graduate Summer School – Jul 2023

🥈 Silver Award, 9th China Intl. "Internet +" Innovation Competition

🗣️ Outstanding Oral Report, 2nd Textile Graduate Forum – Apr 2023

📝 Finalist, 23rd Chen Weiji Outstanding Paper Award – Mar 2023

💰 Comprehensive Scholarship, Donghua University – Sep 2022

🏆 22nd Chen Weiji Excellent Paper Award – Oct 2021

📚 Selected Publications

Here’s a selection of Dr. Hengyu Zhang’s representative research works:

Zhang, H.Y. et al. (2024). MXene/PPy electromagnetic wave absorbing felt with impedance continuous gradient structure prepared by freezing interface polymerization. ACS Applied Nano Materials, 7(1), 1289–1399.

Zhang, H.Y. et al. (2023). Frequency-selective/impedance gradient MXene/PPy nanocomposite polyester felt. Composites Part A, 175, 107776.

Zhang, H.Y. et al. (2022). Nanoarchitectonics of MXene/PPy/polyester composite fabric. Composites Part A, 163, 107163.

Zhang, H.Y. et al. (2022). Washable conductive cotton yarn using MXene coating. Industrial Crops and Products, 188, 115653.

Zhang, H.Y. et al. (2022). Multilayer flexible EMI shielding fabric. Textile Research Journal, 92(5-6), 851–859.

Mr. Hussm Rostum | Computer Science | Best Researcher Award

Published on 08/04/202508/04/2025 by Invention Awards

Mr. Hussm Rostum | Computer Science | Best Researcher Award

Miskolc University, Institute of Automation and Info-communication, Hungary.

Hussam Rostum is a PhD candidate and researcher at the University of Miskolc in Hungary, specializing in computer vision for autonomous drone navigation. With a strong background in telecommunications and electronics, he blends academic excellence with hands-on experience as a part-time software engineer at FIEK. Hussam is known for developing cutting-edge solutions in industrial automation, biomedical imaging, and human–machine interfaces. Fluent in Arabic and English, he brings international insight into interdisciplinary research projects, merging software innovation with engineering systems.

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🎓 Education

Hussam holds a BSc and MSc in Telecommunication and Electronic Engineering, equipping him with deep theoretical and practical knowledge in signal processing, system design, and electronics. Currently, he is pursuing a PhD in Information Science at the University of Miskolc, focusing on AI-based vision systems for autonomous drone operations.

💼 Experience

Hussam serves as an Assistant Researcher and Part-time Software Engineer at FIEK, where he builds C# monitoring software, implements PLC-to-PC communications, and automates data workflows using Linux, Docker, and Excel. His professional journey includes work as a Full Stack Developer and Telecom Engineer, with experience in GUI development, DevOps collaboration, and .NET technologies.

🔬 Research Interests

📸 Computer Vision & Image Processing

🤖 Autonomous Systems & Drone Navigation

🩺 Biomedical Imaging & Oxygen Saturation Estimation

🔬 Optical System Design (Zemax)

⚙️ Industrial Automation & Data Visualization

🧠 Human–Machine Interfaces & Sensor Integration

📚 Selected Publications

Enhancing Machine Learning Techniques in VSLAM for Robust Autonomous Unmanned Aerial Vehicle Navigation
📅 2025-04-02 | 📰 Electronics
📌 Focus: Improving Visual SLAM with machine learning for UAVs in complex environments.
🔗 DOI: 10.3390/electronics14071440
👥 Co-author: József Vásárhelyi

Comparing the Effectiveness and Performance of Image Processing Algorithms in Face Recognition
📅 2024-05-22 | 📚 Conference Paper
📌 Focus: Evaluation of various image processing techniques for face recognition applications.
🔗 DOI: 10.1109/ICCC62069.2024.10569864
👥 Co-author: József Vásárhelyi

FPGA Implementation in Mobile Robot Applications: State of the Art Review
📅 2023-12-20 | 📰 Multidiszciplináris Tudományok
📌 Focus: Overview of FPGA-based systems in robotics.
🔗 DOI: 10.35925/j.multi.2023.2.21
👥 Co-authors: Omar M. Salih, Noha Hammami

An Overview of Energies Problems in Robotic Systems
📅 2023-12-14 | 📰 Energies
📌 Focus: Challenges in energy management for robotic systems.
🔗 DOI: 10.3390/en16248060
👥 Co-authors: József Vásárhelyi, Omar M. Salih, Rabab Benotsname

A Review of Using Visual Odometry Methods in Autonomous UAV Navigation in GPS-Denied Environments
📅 2023-12-01 | 📰 Acta Universitatis Sapientiae, Electrical and Mechanical Engineering
📌 Focus: Use of visual odometry for UAVs in GPS-denied settings.
🔗 DOI: 10.2478/auseme-2023-0002
👥 Co-author: József Vásárhelyi

Dr. Ali Saleh | Transportation | Best Researcher Award

Published on 07/04/202507/04/2025 by Invention Awards

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

Published on 07/04/202507/04/2025 by Invention Awards

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.