Mr. Vishnu Vardhan Chakravaram | New Product Development | Best Innovator Award

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Mr. Vishnu Vardhan Chakravaram | New Product Development | Best Innovator Award

Digital Scripts Inc, United States.

Vishnu Vardhan Chakravaram is a passionate and inventive New Product Development Engineer at Digital Scripts / Electrolux Group, with over 8 years of experience in embedded product development across the telecommunications and appliance industries. Known for launching 18+ wall oven products and managing a team of 9 engineers, Vishnu merges his strong academic background with innovation. He has also contributed to academia as a Graduate Teaching Assistant for Master's in Electrical Engineering students and holds a US patent with more under review, embodying his drive for engineering excellence.

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πŸŽ“ Education

Mr. Vishnu Vardhan Chakravaram holds a Bachelor of Engineering (B.E.) degree in Electronics and Communication Engineering. He has successfully completed a Master of Science (M.S.) in Electrical Engineering, equipping him with a solid foundation in advanced electrical systems and technologies. Currently, he is pursuing a second M.S. in Information Systems Engineering and Management, further expanding his expertise at the intersection of technology and organizational management. His diverse academic background reflects a strong commitment to continuous learning and interdisciplinary proficiency.

πŸ’Ό Experience

Vishnu has more than 8 years of professional experience in new product development with a focus on embedded systems. He played key roles in telecom and appliance sectors, notably leading a team of 9 engineers to bring 18 wall oven products to manufacturing. He also served as a Graduate Teaching Assistant for 1.5 years, supporting Master's students in Electrical Engineering.

πŸ”¬ Research Interests

Research Areas: Vishnu’s academic and professional research spans Electrical Engineering, Electronics, Robotics, and New Product Development.

Innovation & Patents: He has worked on user-centric innovations, including:

A bridge mechanism between washers and dryers to enhance usability and space efficiency.

Ergonomic wire harness clips designed for improved safety and installation convenience.

Practical Engineering Focus: His work demonstrates a strong commitment to real-world, practical engineering solutions, combining technical expertise with a user-first approach.

πŸ† Awards & Honors

Fellow, Scholars Academic and Scientific Society (FSASS/846/2025)

Royal Fellow, International Organization for Academic and Scientific Development (FRIOASD-460/2025)

πŸ“š Publications

Formation of Virtual Lenses with Puissance Radio Telescopic Satellites – International Journal of Engineering and Advanced Technology, Vol. 1, Issue 5 (ISSN: 2249-8958), Cited by 4 articles

Solar System as a Radio Telescope – International Journal of Research in Engineering and Technology, Vol. 2, Issue 3 (ISSN: 2319-1163), Cited by 6 articles

Electronic and Satellite Navigation – International Journal of Electronics Communications and Computer Engineering, Vol. 3, Issue 3 (ISSN: 2249-071X), Cited by 3 articles

Utilization of Renewable Energy Resources – Journal of Electrical and Electronics Engineering, Vol. 1, Issue 1 (ISSN: 2278-1676), Cited by 5 articles

Mr. Hussm Rostum | Computer Science | Best Researcher Award

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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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πŸŽ“ 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.

πŸ’Ό 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.

πŸ”¬ Research Interests

πŸ“Έ Computer Vision & Image Processing

πŸ€– Autonomous Systems & Drone Navigation

🩺 Biomedical Imaging & Oxygen Saturation Estimation

πŸ”¬ Optical System Design (Zemax)

βš™οΈ Industrial Automation & Data Visualization

🧠 Human–Machine Interfaces & Sensor Integration

πŸ“š Selected Publications

Enhancing Machine Learning Techniques in VSLAM for Robust Autonomous Unmanned Aerial Vehicle Navigation
πŸ“… 2025-04-02 | πŸ“° Electronics
πŸ“Œ Focus: Improving Visual SLAM with machine learning for UAVs in complex environments.
πŸ”— DOI: 10.3390/electronics14071440
πŸ‘₯ Co-author: JΓ³zsef VΓ‘sΓ‘rhelyi

Comparing the Effectiveness and Performance of Image Processing Algorithms in Face Recognition
πŸ“… 2024-05-22 | πŸ“š Conference Paper
πŸ“Œ Focus: Evaluation of various image processing techniques for face recognition applications.
πŸ”— DOI: 10.1109/ICCC62069.2024.10569864
πŸ‘₯ Co-author: JΓ³zsef VΓ‘sΓ‘rhelyi

FPGA Implementation in Mobile Robot Applications: State of the Art Review
πŸ“… 2023-12-20 | πŸ“° MultidiszciplinΓ‘ris TudomΓ‘nyok
πŸ“Œ Focus: Overview of FPGA-based systems in robotics.
πŸ”— DOI: 10.35925/j.multi.2023.2.21
πŸ‘₯ Co-authors: Omar M. Salih, Noha Hammami

An Overview of Energies Problems in Robotic Systems
πŸ“… 2023-12-14 | πŸ“° Energies
πŸ“Œ Focus: Challenges in energy management for robotic systems.
πŸ”— DOI: 10.3390/en16248060
πŸ‘₯ Co-authors: JΓ³zsef VΓ‘sΓ‘rhelyi, Omar M. Salih, Rabab Benotsname

A Review of Using Visual Odometry Methods in Autonomous UAV Navigation in GPS-Denied Environments
πŸ“… 2023-12-01 | πŸ“° Acta Universitatis Sapientiae, Electrical and Mechanical Engineering
πŸ“Œ Focus: Use of visual odometry for UAVs in GPS-denied settings.
πŸ”— DOI: 10.2478/auseme-2023-0002
πŸ‘₯ Co-author: JΓ³zsef VΓ‘sΓ‘rhelyi

 

 

 

 

Dr. Mazen Azhry Mohammed Musa | Dentistry | Best Researcher Award

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Dr. Mazen Azhry Mohammed Musa | Dentistry | Best Researcher Award

Xi'an Jiaotong University, China.

Dr. Mazen Azhry Mohammed Musa is a dedicated orthodontist and clinical researcher, currently affiliated with Xi’an Jiaotong University, China, and University of Science and Technology Omdurman, Sudan. His work bridges clinical excellence and scholarly innovation, with a particular passion for temporomandibular joint disorders (TMD), smile aesthetics, and orthodontic therapies. Through his contributions to several high-impact journals and peer-reviewed collaborations, he strives to advance dental medicine and improve patient care globally.

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πŸŽ“ Education

Dr. Mazen Azhry Mohammed Musa 🦷 is a dedicated orthodontist currently pursuing his MD in Orthodontics at Xi’an Jiaotong University, China (2020–2025), where his research focuses on quantitative and qualitative condylar changes following stabilization splint therapy in TMD patients. He also holds an MSc in Orthodontics from the same university (2017–2020), with his thesis published in BMC Oral Health. πŸ“š In addition, Dr. Musa earned a Postgraduate Diploma in Research Methodology & Biostatistics from UMST, Sudan (2015–2016) πŸ“Š, complementing his clinical expertise with solid research skills. His journey in dentistry began with a Bachelor of Dental Surgery (BDS) from the University of Science & Technology, Sudan (2008–2013), where he completed a thesis on the prevalence of caries in special needs children in Khartoum State πŸͺ₯. Dr. Musa’s clinical acumen, academic rigor, and commitment to improving oral health outcomes make him a rising figure in the field of orthodontics.

πŸ’Ό Experience

🦷 Orthodontist, Xi’an Jiaotong University, China (Sep 2020 – Present)
Dr. Musa has been actively engaged in clinical orthodontic practice, delivering comprehensive treatment plans while integrating advanced diagnostic tools and therapeutic strategies. His work focuses on orthodontics and temporomandibular disorders (TMD), and he contributes to research supervision and academic development within the department.

πŸ”¬ Research Interests

🦷 Dentistry & Oral Health

🧬 Orthodontics & Dentofacial Orthopaedics

😁 Smile Aesthetics

πŸ’’ Temporomandibular Joint Disorders (TMD)
His research integrates cone beam CT, 3D analysis, and esthetic evaluation to inform personalized treatment.

πŸ“š Selected Publications

😬 Temporomandibular Joint (TMJ) & Stabilization Splint Therapy

Title: Three dimensional evaluation of the skeletal and temporomandibular joint changes following stabilization splint therapy...

Authors: MMS Ahmed, D Shi, MAA Al-Somairi, M Musa, et al.

Journal: BMC Oral Health, 23(1), 18

Citations: 17

Year: 2023

Title: Quantitative and qualitative condylar changes following stabilization splint therapy...

Authors: M Musa, Q Zhang, R Awad, et al.

Journal: Clinical Oral Investigations, 27(5), 2399–2310

Citations: 12

Year: 2023

😁 Smile Aesthetics & Sociocultural Factors

Title: Effect of the ethnic, profession, gender, and social background on the perception of upper dental midline deviations...

Authors: M Musa, R Awad, A Mohammed, et al.

Journal: BMC Oral Health, 23(1), 214

Citations: 8

Year: 2023

🧬 Stem Cells & ceRNA Networks

Title: Analysis of ceRNA networks during mechanical tension‐induced osteogenic differentiation of periodontal ligament stem cells

Authors: W Wang, N Li, M Musa, et al.

Journal: European Journal of Oral Sciences, 130(5), e12891

Citations: 8

Year: 2022

Dr. Ali Saleh | Transportation | Best Researcher Award

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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

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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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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

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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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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.

 

 

Assist. Prof. Dr. Guillermo EscrivΓ‘-EscrivΓ‘ | Energy | Academic and Industrial Synergy Award

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Assist. Prof. Dr. Guillermo EscrivΓ‘-EscrivΓ‘ | Energy | Academic and Industrial Synergy Award

Universitat Politècnica de València, Spain.

Guillermo EscrivÑ-EscrivÑ is a distinguished professor in the Electrical Engineering Department at the Universitat Politècnica de València (UPV), Spain. He earned his Ph.D. in Industrial Engineering from UPV in 2009 and has been a faculty member since 2005. His research focuses on energy efficiency, renewable energies, and power system quality. Prior to his academic career, he worked as a facilities engineer in a major construction company from 2000 to 2005. Throughout his tenure at UPV, Professor EscrivÑ-EscrivÑ has collaborated on numerous national and European projects, contributing significantly to advancements in electrical engineering.

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Education πŸŽ“

Guillermo EscrivΓ‘-EscrivΓ‘ earned his Ph.D. in Industrial Engineering from the Universitat PolitΓ¨cnica de ValΓ¨ncia (UPV) in 2009, where he also completed his undergraduate degree as an Ingeniero Industrial in 1999. His doctoral work laid the foundation for his long-term research into energy efficiency and power system quality, areas in which he has since become a recognized expert.​

Experience 🏫

Professor EscrivΓ‘-EscrivΓ‘ has been a faculty member at the Universitat PolitΓ¨cnica de ValΓ¨ncia (UPV) since 2005, rising through the academic ranks to his current position as Profesor Titular de Universidad (Associate Professor) in 2016. Prior to that, he served as Profesor Contratado Doctor (2011–2016), Profesor Ayudante Doctor (2010–2011), and Ayudante (2007–2010). He began his academic career as a Profesor Asociado in 2005. Before transitioning into academia, he gained industrial experience as a Facilities Engineer in a major construction company from 2000 to 2005, where he was involved in large-scale engineering projects. This combination of practical field experience and academic depth has significantly shaped his approach to research and teaching.

Research Interests πŸ”¬

Energy Efficiency: Developing strategies to optimize energy consumption in various sectors.​

Renewable Energies: Integrating sustainable energy sources into existing power systems.​

Power System Quality: Enhancing the reliability and performance of electrical power systems.

Achievements & Contributions 🌟

Organized and delivered the technical workshop β€œDiseΓ±o de sistemas de climatizaciΓ³n con aplicaciΓ³n de geotermia y carga virtual para la reducciΓ³n de emisiones de CO₂” at the Colegio Aparejadores de Murcia.

Authored a technical article on sympathetic tripping in differential protections in industrial and commercial electrical systems.

Serves as an Advisory Board Member for Cambridge Scholars Publishing since 2018, contributing to editorial oversight and scientific quality.

Participated in the DERD Project, focused on the creation of an R&D laboratory for the optimized management of demand and distributed energy resources.

Selected ​​Publications πŸ“š

πŸ”‹ Hybrid Energy Solutions for Rural Areas

Title: Hybrid Energy Solutions for Enhancing Rural Power Reliability in the Spanish Municipality of Aras de los Olmos
Journal: Applied Sciences (2025-03-30)
DOI: 10.3390/app15073790
Highlights:

Focuses on rural electrification and improving reliability using hybrid renewable systems.

Real-world case study in Aras de los Olmos, Spain.

Likely involves solar, wind, and storage integration.

πŸ› οΈ Fault Diagnosis in Electrical Machines

Title: Optimizing Bearing Fault Diagnosis in Rotating Electrical Machines Using Deep Learning and Frequency Domain Features
Journal: Applied Sciences (2025-03-13)
DOI: 10.3390/app15063132
Highlights:

Uses deep learning models and spectral analysis for predictive maintenance.

Enhances diagnostics accuracy for rotating electrical equipment.

♻️ Sustainable Biogas Integration

Title: Strategic Resource Planning for Sustainable Biogas Integration in Hybrid Renewable Energy Systems
Journal: Applied Sciences (2025-01-10)
DOI: 10.3390/app15020642
Highlights:

Addresses planning and modeling for incorporating biogas in hybrid systems.

Focuses on sustainability and energy resource optimization.

πŸ₯ Fiber Optics for Electrical Monitoring in Hospitals

Title: Intelligent Residual Current Monitor Application in Hospital With Fiber Optics Using Wavelength Division Multiplexing
Journal: IEEE Access (2024)
DOI: 10.1109/ACCESS.2024.3494055
Highlights:

Innovates electrical safety with intelligent monitoring via fiber optics.

Applicable in sensitive environments like hospitals.

Uses WDM technology to multiplex signals.

βš™οΈ Multi-objective Optimization of Rural Microgrids

Title: Optimal sizing and design of renewable power plants in rural microgrids using multi-objective particle swarm optimization and branch and bound methods
Journal: Energy (2023-12)
DOI: 10.1016/j.energy.2023.129318
Highlights:

Applies PSO and branch-and-bound algorithms for system design.

Supports decision-making for renewable microgrids in rural setups.

Balances cost, emissions, and energy reliability.

 

 

 

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

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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

Β Dr. Yi -FengΒ  Ren | Oral Microbiology | Best Researcher Award

Published on by Invention Awards

Β Dr. Yi -FengΒ  Ren | Oral Microbiology | Best Researcher Award

Hospital of Chengdu University of Traditional Chinese Medicine,China

Yi-Feng Ren is a dedicated medical professional specializing in oncology and clinical medicine. With a robust educational background, including a Master’s degree from Henan University and academic exchange experience at Tokyo University, he is passionate about advancing cancer research and treatment methodologies.

ProfileΒ 

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Education πŸŽ“

Yi-Feng Ren completed his Bachelor’s degree in Clinical Medicine at Chongqing Medical University in June 2017. He then pursued a Master’s degree in Clinical Medicine at Henan University, graduating in June 2020. He further enriched his academic experience with an exchange program at the Department of Medicine, Tokyo University, Japan, from July to September 2019. Currently, he is advancing his studies at Chengdu University of TCM in Oncology.

Experience πŸ₯

Ren has extensive experience in clinical and translational research, focusing on lung cancer and microbiota interactions. His contributions to the field include roles as a medical practitioner and researcher, alongside active participation in editorial boards of esteemed medical journals.

Research Interests πŸ”¬

Role of Oral Microbiota: Investigating its impact on lung cancer prediction.

Tumor Metastasis Mechanisms: Understanding the biological processes involved in tumor spread.

Patient-Derived Organoids: Exploring clinical applications of organoids for personalized cancer treatment.

Innovative Diagnostics: Developing new approaches for cancer diagnostics.

Therapeutics Development: Advancing treatment methodologies in oncology.

Awards πŸ†

Yi-Feng Ren has received various accolades for his contributions to medical research and practice, recognizing his commitment to improving patient care and advancing medical knowledge.

Selected Publications πŸ“š

CXCL9+TAMs and TREM2+TAMs are involved in the invasion and metastasis of ground-glass and part-solid nodules in lung adenocarcinoma. Mol Cancer, 2024.

Oral microbiota as a biomarker for predicting the risk of malignancy in indeterminate pulmonary nodules: a prospective multicenter study. Int J Surg, 2025.

Mechanisms underlying the effects, and clinical applications, of oral microbiota in lung cancer: current challenges and prospects. Crit Rev Microbiol, 2023.

Patient-derived organoids of lung cancer based on organoids-on-a-chip: enhancing clinical and translational applications. Front Bioeng Biotechnol, 2023.

Saliva-microbiome-derived signatures: Expected to become a potential biomarker for pulmonary nodules (MCEPN-1). BMC Microbiol, 2024

 

Prof. Qingjun Chen | Engineering | Best Researcher Award

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Prof. Qingjun Chen | Engineering | Best Researcher Award

Nanchang Hangkong University, China.

Qingjun Chen, PhD, is a distinguished professor and a high-end talent in scientific and technological innovation under Jiangxi Province's "Thousand Talents Plan." Recognized as a leading academic and technological figure in major disciplines, he serves as an academic leader and a young and middle-aged backbone teacher in Jiangxi Province. He has held key positions in various professional committees and serves as an expert reviewer for multiple national and provincial scientific organizations.

Profile

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Education

Qingjun Chen earned his PhD in Materials Science from Harbin Institute of Technology in 2006, solidifying his expertise in advanced materials research. In 2005, he broadened his academic exposure by conducting research at the University of Waikato, New Zealand, gaining international experience in material science innovations. Further enhancing his global academic collaborations, he served as a Visiting Scholar at North Carolina State University, USA, in 2010, where he deepened his research on material performance regulation and alloy applications.

Experience

Qingjun Chen has established himself as a leading expert in materials science, holding multiple prestigious roles in national and international scientific communities. He is a member of the Amorphous Alloys and Applications Committee under the Chinese Society of Metals and also contributes to the Railway Facilities Committee of the China Society for Corrosion and Protection. Additionally, he serves as a communication review expert for the National Natural Science Foundation of China and a letter review expert for the China Postdoctoral Science Foundation, actively shaping the direction of scientific research in the country. His expertise is widely recognized, and he has been a science and technology consultant and reviewer for multiple provincial and municipal research projects, ensuring the successful implementation of key scientific initiatives.

Research Interests

Advanced Material Organization & Performance Regulation – Investigating material structures and optimizing their properties for industrial use.

Innovative Materials Development – Designing new materials with enhanced durability and functionality.

Corrosion Protection – Developing advanced coatings and alloys to prevent material degradation.

Alloy Design & Optimization – Creating high-performance alloys for specialized applications.

National Defense Applications – Contributing to the development of materials for military and defense technologies.

Aerospace Engineering – Enhancing materials used in aircraft and space exploration for improved performance and safety.

Railway Infrastructure – Advancing material solutions to increase efficiency and longevity in railway construction and maintenance.

Awards & Recognitions

Provincial and Ministerial Science and Technology Award (Second Prize) – Ranked First

Recognized as a Young and Middle-aged Backbone Teacher in Jiangxi Province

Key contributor to Jiangxi Province's "Thousand Talents Plan"

Selected Publications

Nb-induced lattice changes to enhance corrosion resistance of Alβ‚€.β‚…Ti₃Zrβ‚€.β‚…Nbβ‚“Moβ‚€.β‚‚ high-entropy alloys
Q. Chen, X. Cui – Nature Communications, 2025

Amorphous-nanocrystalline dual-phase structured Feβ‚‡β‚ˆSi₁₃B₉ alloy ribbons and their efficiency for degradation of direct yellow dye
Y. Zhao, Q. Chen, L. Ji, K. Wang, G. Huang – Reaction Kinetics, Mechanisms and Catalysis, 2024
1 Citation (Open Access)

Strengthening mechanism of electrocatalytic properties of high activity Fe-based amorphous alloys by low escape work nanocrystals
Y. Zhao, Q. Chen, L. Ji, K. Wang, G. Huang – Journal of Materials Research and Technology, 2024
2 Citations

Microstructure and Internal Friction Behavior of Laser 3D Printed Fe-Based Amorphous Composites
S. Huang, Q. Chen, L. Ji, K. Wang, G. Huang – Acta Metallurgica Sinica (English Letters), 2024
3 Citations

BCC/B2 structure and dislocation strengthening behavior in high Ti content TiAlVCrNb high-entropy alloys
T. Xu, Q. Chen, L. Ji, K. Wang, H. Liu – Journal of Alloys and Compounds, 2023
35 Citations