Prof. Dr.Ergin TARI | nautical | Best Researcher Award

Posted on by Global Sensor Awards

Prof. Dr.Ergin TARI | nautical | Best Researcher Award

Prof. Dr.Ergin TARI, Istanbul Technical University, Turkey

Ergin Tarı is a distinguished academic and researcher in the field of Geodesy and Photogrammetry. He graduated from the Geodesy and Photogrammetry Department of Istanbul Technical University (ITU) in 1988. With extensive experience in GPS data processing and geographic information systems, he has significantly contributed to disaster management initiatives since 1999. Dr. Tarı has collaborated with various institutions, including a notable stint as a visiting scientist at the Massachusetts Institute of Technology’s Earth Resources Laboratory. His leadership in GPS projects, particularly along the North Anatolian Fault, has advanced our understanding of geospatial dynamics in seismic regions. With a passion for integrating technology into practical applications, Dr. Tarı continues to drive research that addresses critical challenges in geodesy and disaster management, making him a key figure in the field.

Professional Profile

orcid

Suitability for the Best Researcher Award: Ergin Tarı

Ergin Tarı’s extensive academic and research background makes him a strong candidate for the Best Researcher Award. His educational credentials include a B.Sc., M.Sc., and Ph.D. from Istanbul Technical University (ITU) in Geodesy and Photogrammetry, indicating a solid foundation in his field. His experience as a visiting scientist at the Massachusetts Institute of Technology (MIT) highlights his capability and the recognition of his expertise on an international level.

🎓 Education 

Ergin Tarı earned his Bachelor of Science degree in Geodesy and Photogrammetry from Istanbul Technical University (ITU) in 1988. His academic journey continued at ITU, where he pursued his Master of Science degree, obtaining it in 1991, followed by a Ph.D. in Geodesy and Photogrammetry in 1997. His doctoral research focused on innovative methodologies in GPS data processing, laying a solid foundation for his future endeavors. As a visiting scientist at the Massachusetts Institute of Technology (MIT), Tarı expanded his knowledge and skills in Earth Resources, contributing to significant projects in GPS technology. His educational background is complemented by numerous workshops and conferences in geodesy, disaster management, and GIS, where he has both presented and collaborated with international researchers. Through his strong educational foundation, Dr. Tarı has become a leading expert in his field, continuously advancing the integration of geospatial technologies in practical applications.

 💼 Experience 

Dr. Ergin Tarı has accumulated extensive experience in the fields of Geodesy and Photogrammetry, with a particular focus on GPS data processing and geographic information systems (GIS). Since 1999, he has been actively involved in disaster management projects, collaborating with various governmental and non-governmental organizations. His work has led to the successful implementation of GPS technology in assessing and monitoring seismic activities along the North Anatolian Fault, contributing to better disaster preparedness and response strategies. As a researcher, Dr. Tarı has played a crucial role in leading multidisciplinary teams, enhancing the integration of geospatial data in various applications. His affiliation with prestigious institutions, such as the Massachusetts Institute of Technology, has further solidified his expertise. Through his leadership and collaboration on various projects, Dr. Tarı has made significant strides in the application of geodesy to real-world challenges, influencing both academic and practical advancements in the field.

 🏅 Awards and Honors 

Throughout his career, Dr. Ergin Tarı has received numerous awards and honors in recognition of his significant contributions to the fields of Geodesy and Photogrammetry. Notably, he was awarded the “Best Researcher” accolade by Istanbul Technical University, acknowledging his innovative work in GPS data processing and disaster management. His collaborative projects, particularly those related to the North Anatolian Fault, have garnered attention, leading to several prestigious grants from both national and international agencies. Additionally, Dr. Tarı has been invited to serve on various academic committees and panels, further affirming his expertise and influence in the field. His commitment to advancing geospatial technologies has also earned him recognition from professional organizations, where he has been honored as a distinguished member for his service and contributions. Through these accolades, Dr. Tarı continues to inspire future generations of researchers and practitioners in the geospatial sciences.

 🌍 Research Focus 

Dr. Ergin Tarı’s research focuses on the integration of Geodesy, Photogrammetry, and Geographic Information Systems (GIS) to address critical challenges in disaster management and environmental monitoring. His expertise in GPS data processing enables him to analyze geospatial data effectively, contributing to the understanding of seismic activities, particularly along the North Anatolian Fault. Dr. Tarı’s work emphasizes the application of geospatial technologies in real-world scenarios, enhancing disaster preparedness and response strategies. His collaborative projects often explore innovative methodologies for integrating remote sensing data with GIS to create comprehensive models for disaster risk assessment and mitigation. Furthermore, Dr. Tarı is actively involved in promoting the use of geospatial technologies for sustainable development, with research initiatives aimed at optimizing resource management and environmental protection. By bridging the gap between theory and practice, Dr. Tarı’s research contributes significantly to advancing knowledge in geospatial sciences and its applications in societal challenges.

  📖 Publication Top Notes

AI powered road network prediction with fused low-resolution satellite imagery and GPS trajectory
Performance Evaluation of GPS Trajectory Rasterization Methods
Kinematics of the Sea of Marmara using GPS, InSAR and underwater geodetic data: Possible Influence of Crustal Heterogeneity
GNSSpy: Python Toolkit for GNSS Data
The 2014, M<sub>W</sub> 6.9 North Aegean earthquake: Seismic and geodetic evidence for coseismic slip on persistent asperities

Dr. Zhan Chen | Smart Sensors | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Zhan Chen | Smart Sensors | Best Researcher Award

Dr. Zhan Chen, Northwestern Polytechnical University, China

Chen Zhan is a dedicated Doctoral Student at the Unmanned System Research Institute of Northwestern Polytechnical University in Xi’an, China. With a strong background in Mechatronic Engineering, he is committed to advancing the field of intelligent unmanned systems. His research emphasizes multi-agent consistency, information fusion, and UAV formation control. Chen is actively involved in innovative projects that explore state estimation and planning control, contributing significantly to the evolving landscape of autonomous technologies. With a passion for collaboration and cutting-edge research, Chen is poised to make impactful contributions to the realm of unmanned systems, making him a promising figure in the scientific community.

Professional Profile 

orcid

Summary of Suitability for the Award

Chen Zhan’s impressive academic credentials, relevant research experience, and notable contributions to the field of unmanned systems make him a suitable candidate for the Best Researcher Award. His work addresses significant challenges in UAV technology and showcases a commitment to advancing the field through innovative research. Granting him this award would not only recognize his individual efforts but also encourage continued exploration and advancement in unmanned systems research.

 🎓 Education 

Chen Zhan earned his Bachelor of Science degree in Mechatronic Engineering from Tianjin University of Science and Technology in 2018. He is currently pursuing his Ph.D. in intelligent unmanned systems science and technology at Northwestern Polytechnical University, where he is deepening his understanding of advanced technologies in autonomous systems. His academic journey has equipped him with a solid foundation in engineering principles and practical applications. Chen’s education combines theoretical knowledge with hands-on experience, enabling him to approach complex problems with innovative solutions. His commitment to academic excellence and research in unmanned systems sets a strong precedent for his future contributions to the field.

 💼 Experience 

As a Doctoral Student at the Unmanned System Research Institute, Chen Zhan has engaged in various research projects focusing on multi-agent systems and UAV technologies. His work includes developing algorithms for state estimation and guidance in unmanned aerial vehicles. In addition to his research, he collaborates with peers and mentors, contributing to academic conferences and publications that advance knowledge in the field. Chen’s experience in both individual and collaborative projects has strengthened his skills in information fusion, planning control, and game guidance. His practical experiences complement his academic background, making him well-prepared to tackle challenges in intelligent unmanned systems.

 🏅 Awards and Honors 

Chen Zhan has received recognition for his contributions to the field of unmanned systems and robotics. His innovative research on distributed information filtering methods for state estimation has garnered attention at academic conferences, leading to publications in reputable journals. Chen’s commitment to excellence has also earned him scholarships and grants to support his studies and research initiatives. His proactive approach to learning and collaboration with established researchers enhances his visibility within the academic community, paving the way for future accolades and recognition. As he progresses in his career, Chen is poised to achieve further honors that reflect his dedication and impact in the field.

 🌍 Research Focus 

Chen Zhan’s research focuses on intelligent unmanned systems, with specific interests in multi-agent consistency, information fusion, and UAV formation control. His work aims to develop robust algorithms that improve state estimation and planning control in complex environments. By exploring game guidance and multi-aircraft coordination, Chen seeks to enhance the performance and reliability of unmanned systems in various applications. His dedication to advancing knowledge in these areas is evident in his active participation in research projects and conferences. Through innovative methodologies, Chen aims to contribute to the next generation of intelligent systems, fostering advancements in autonomous technologies.

Publication Top Notes

Layout of Detection Array Based on Multi-Strategy Fusion Improved Adaptive Mayfly Algorithm in Bearing-Only Sensor Network
Distributed Cubature Information Filtering Method for State Estimation in Bearing-Only Sensor Network

 

Assoc. Prof. Dr. Mariana Kasynets | Energy reduction Awards | Best Researcher Award

Posted on by Global Sensor Awards

Assoc. Prof. Dr. Mariana Kasynets | Energy reduction Awards | Best Researcher Award

Assoc. Prof. Dr. Mariana Kasynets, Lviv Polytechnic National University, Ukraine

Mariana Kasynets is an Associate Professor in the Department of Heat and Gas Supply and Ventilation at Lviv Polytechnic National University in Ukraine. Born on September 24, 1987, in Lviv, she holds a Ph.D. and has over 12 years of experience in academia. A graduate of Lviv Polytechnic Institute in 2009, Dr. Kasynets has made notable contributions to her field, authoring a total of 70 scientific works, including 24 articles indexed in the Scopus database, with a Hirsch Index of H=8. Her research efforts focus on advancing knowledge in heat and gas supply systems.

Professional Profile:

Orcid

Suitability for the Research for Best Researcher Awards: Mariana Kasynets

Summary of Suitability

Mariana Kasynets is an exemplary candidate for the Research for Best Researcher Awards. Her extensive publication record, innovative research focus on ventilation and energy efficiency, and commitment to education and mentorship distinguish her as a leader in her field. Recognizing her with this award would not only honor her contributions but also encourage further advancements in sustainable building technologies, ultimately benefiting society by promoting healthier and more efficient living environments.

🎓Education:

In 2009, Mariana Kasynets graduated from Lviv Polytechnic Institute, earning a degree in higher education. She later pursued her Ph.D., specializing in areas related to heat and gas supply.

🏢Work Experience:

Mariana Kasynets has over 12 years of work experience and currently serves as an Associate Professor in the Department of Heat and Gas Supply and Ventilation at Lviv Polytechnic National University in Ukraine.

🏅Awards and Recognition:

Mariana Kasynets has authored a total of 70 scientific works, including 24 articles indexed in the Scopus database, demonstrating her significant contributions to her field. Her research impact is further reflected in her Hirsch Index of H=8.

Publication Top Notes:

  • Increasing the Efficiency of the Residential Buildings Premises Natural Ventilation
  • The Influence of the Interaction of Opposing Non-coaxial Round Jets on the Leakage Velocity Uniformity of the Resulting Air Flow
  • Enhancing of Efficiency of Solar Panels Combined with Buildings Coating
  • Mathematical Modeling of an Air Flow Leakage with the Jets Interaction at the Variable Mode

 

 

 

Dhanvanthkumar Gude | Smart Waste Management | Best Researcher Award

Posted on by Global Sensor Awards

Mr.Dhanvanthkumar Gude| Smart Waste Management | Best Researcher Award

Student at  Chandigarh University,India 

A dedicated Computer Science Engineering student specializing in Artificial Intelligence (AI) and Machine Learning (ML), this individual combines a strong academic background with hands-on experience. With a GPA of 8.38/10 from Chandigarh University, they excel in AI principles, algorithms, and statistical modeling. Proficient in programming languages like Python and C++, they have successfully collaborated on various AI projects. Their internships have involved designing deep learning models for sarcasm detection and sentiment analysis, showcasing their ability to apply theoretical knowledge to practical problems. A proactive learner, they are passionate about advancing AI technologies and contributing to innovative solutions in real-world scenarios.

Profile:

Google Scholar

Strengths for the Award:

  1. Specialized Knowledge: The candidate has a solid academic foundation in Computer Science, specializing in Artificial Intelligence (AI) and Machine Learning (ML), which aligns perfectly with current research trends in these fields.
  2. Practical Experience: The internships and projects demonstrate hands-on experience in applying AI and ML techniques, particularly in natural language processing (NLP) and deep learning, showcasing the ability to translate theoretical knowledge into practical applications.
  3. Research Contributions: The publication in a reputable journal highlights the candidate’s capability to contribute to the body of knowledge in sustainable urban sanitation, integrating machine learning with environmental science.
  4. Collaboration and Communication Skills: The experience in team settings, as noted in various projects and internships, indicates effective collaboration and communication skills, essential for successful research endeavors.
  5. Diverse Technical Skills: Proficiency in multiple programming languages, databases, and data science tools provides a versatile skill set that enhances the candidate’s research capabilities.

Areas for Improvement:

  1. Broaden Research Focus: While the candidate has strong skills in AI and ML, expanding the research focus to include interdisciplinary applications or emerging technologies could enhance their profile.
  2. Increase Publication Count: Engaging in more research projects and aiming for additional publications could strengthen their candidacy, showcasing a consistent contribution to the research community.
  3. Networking and Collaboration: Building connections with industry professionals and participating in more conferences could provide opportunities for collaboration and exposure to cutting-edge research.
  4. Leadership Roles: Taking on leadership roles in academic projects or student organizations could demonstrate initiative and the ability to guide research teams effectively.

Education:

Currently pursuing a Bachelor’s degree in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning at Chandigarh University, the candidate has achieved a GPA of 8.38/10. Their academic journey began at Vignan High School, where they graduated with a commendable 97.8%. Following this, they completed their Pre-University education at Chaitanya Junior College, scoring 97.2%. The curriculum at Chandigarh University includes comprehensive courses in AI principles, algorithms, and data structures, providing a solid foundation for their specialization. The candidate actively engages in research and projects, enhancing their knowledge and skills in AI and ML. This educational background, coupled with relevant certifications in cloud infrastructure and generative AI, equips them to make significant contributions to the field.

Experience:

The candidate has accumulated valuable experience through various internships, significantly enhancing their expertise in AI and ML. As an AI Intern at Infosys Springboard, they developed a deep learning model for sarcasm detection in Reddit comments, utilizing technologies like NLP and Python. At AI4ALL, they worked as an AI and Prompt Engineer, contributing to research projects that included data analysis on AI usage across India, chatbot development, and AI-based weather monitoring systems. Their internship at Edunet Foundation involved creating a sentiment analysis model for restaurant reviews, further honing their skills in NLP and machine learning. Each role has provided practical experience in applying AI principles and collaborating effectively within teams, making the candidate well-prepared for future challenges in the technology landscape.

Research Focus:

The candidate’s research focus lies primarily in the intersection of Artificial Intelligence and real-world applications, particularly in sustainability and natural language processing. They are deeply interested in leveraging machine learning techniques to address complex challenges, such as urban sanitation and waste management. Their recent publication, “Transforming Urban Sanitation: Enhancing Sustainability through Machine Learning-Driven Waste Processing,” reflects this commitment, showcasing how AI can be integrated into environmental solutions. Additionally, they have worked on projects involving sarcasm detection and sentiment analysis, further exploring the capabilities of NLP in understanding human communication. The candidate aims to expand their research to include broader applications of AI and machine learning, such as smart waste management systems and other innovative solutions that contribute to societal advancement.

Publication Top Notes:

  • Transforming Urban Sanitation: Enhancing Sustainability through Machine Learning-Driven Waste Processing 🌍

Conclusion:

The candidate is well-positioned for the Best Researcher Award due to their specialized knowledge, practical experience, and notable contributions to AI and ML research. By addressing the areas for improvement, such as expanding their research focus and increasing publication output, they can further enhance their profile. Overall, the combination of skills, experience, and dedication to advancing AI technologies makes them a strong contender for the award.

Dr. Rituraj Patwal | Renewable Energy Award | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Rituraj Patwal | Renewable Energy Award | Best Researcher Award

Dr. Rituraj Patwal, Women Institute of Technology, India

Dr. Rituraj Singh Patwal, born on December 13, 1990, in Haldwani, Uttarakhand, India, is a specialist in Power System Optimization and Renewable Energy Systems. He holds a Ph.D. in Power System Optimization from Thapar Institute of Engineering and Technology, Patiala, where his thesis focused on “Optimal Generation Scheduling of Pumped Storage Hydrothermal Systems with Solar and Wind Energy Sources.” He also completed his M.Tech. in Power Systems from Thapar University and earned his B.Tech. in Electrical Engineering from Dehradun Institute of Technology. Dr. Patwal’s research interests include sustainable energy systems, optimization algorithms, generation scheduling, and renewable energy sources. He has over 9 months of experience as an Assistant Professor at GRD-IMT Dehradun, and has held similar roles at institutions like Meerut Institute of Technology and Thapar Institute of Engineering and Technology. His teaching portfolio includes subjects such as Basic Electrical Engineering, Network Analysis and Synthesis, and Industrial Internet of Things.

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Rituraj Singh Patwal is highly suitable for the “Best Researcher Award” in his field based on his robust academic and research credentials. His work in Power System Optimization and Renewable Energy Systems highlights his expertise in areas critical to the energy sector, such as sustainable energy systems, optimization algorithms, generation scheduling, and the integration of renewable energy sources like solar and wind.

Education:

  1. Ph.D. in Power System Optimization
    • Institution: Thapar University
    • Year: 2021
    • Thesis Title: “Optimal Generation Scheduling of Pumped Storage Hydrothermal System with Solar and Wind Energy Sources”
    • Percentage (Course Work): 83%
  2. M.Tech. in Power System
    • Institution: Thapar University
    • Year: 2016
    • Percentage: 76%
  3. B.Tech. in Electrical Engineering
    • Institution: Dehradun Institute of Technology
    • Year: 2012
    • Percentage: 72%
  4. Intermediate (Science)
    • Board: CBSE
    • Year: 2008
    • Percentage: 83%
  5. High School (Science)
    • Board: CBSE
    • Year: 2006
    • Percentage: 86.2%

Work Experience:

  1. Assistant Professor
    • Institution: GRD-IMT, Dehradun
    • Duration: August 2024 – Present (9 months)
  2. Assistant Professor
    • Institution: Meerut Institute of Technology
    • Duration: November 2022 – July 2023 (8 months)
  3. Assistant Professor
    • Institution: Meerut Institute of Engineering and Technology
    • Duration: March 2021 – October 2022 (1 year 8 months)
  4. Lecturer (NT)
    • Institution: Thapar Institute of Engineering and Technology, Patiala
    • Duration: January 2018 – December 2020 (3 years)
  5. Shift Engineer
    • Company: Birla Tyres
    • Duration: July 2012 – April 2013 (10 months)

Publication top Notes:

 

Optimal generation scheduling of pumped storage hydro-thermal system with wind energy sources

Multi-objective generation scheduling of integrated energy system using fuzzy based surrogate worth trade-off approach

Crisscross PSO algorithm for multi-objective generation scheduling of pumped storage hydrothermal system incorporating solar units

Optimal Economic Emission Scheduling of Integrated Energy Systems Using Heuristic Optimization Technique

A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units

Heuristic optimization technique for hydrothermal scheduling considering pumped storage unit

Assoc Prof Dr. Jiahao Wang | Adaptation Award | Best Researcher Award

Posted on by Global Sensor Awards

Assoc Prof Dr. Jiahao Wang | Adaptation Award | Best Researcher Award 

Assoc Prof Dr. Jiahao Wang, University of Electronic Science and Technology of China, China

Dr. Jiahao Wang is an Associate Professor at the School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC) in Chengdu. He holds a Ph.D. in Computer Engineering, a Master’s in Computer System Architecture, and a Bachelor’s in Computer Science and Engineering, all from UESTC. He is a member of IEEE, the China Computer Federation (CCF), and several expert committees including the Chengdu Big Data Industry Alliance and Sichuan Health Information Society. Dr. Wang’s work experience includes postdoctoral research at the E-Business Technology Institute, University of Hong Kong, and a visiting scholarship at the Illinois Institute of Technology, USA. He has also served as Deputy Secretary General of Ya’an City and Deputy Director of the Ya’an Economic Development Zone, and currently, he is the Dean of Suining Digital Economy Research Institute.

Professional Profile:

Education Background:

  • 2003/9 – 2007/6: Ph.D. in Computer Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, P.R. China.
  • 2001/9 – 2004/3: Master’s in Computer System Architecture, University of Electronic Science and Technology of China (UESTC), Chengdu, P.R. China.
  • 1997/9 – 2001/7: Bachelor’s in Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, P.R. China.

Work Experience:

  • 2007.7 – 2010.7: Lecturer, School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
  • 2007.10 – 2009.10: Postdoctoral Associate Researcher, E-Business Technology Institute, University of Hong Kong, Hong Kong.
  • 2013.12 – 2014.12: Visiting Scholar, Department of Computer Science, Illinois Institute of Technology, USA.
  • 2015.8 – 2016.3: Researcher, China Cybersecurity Review Technology and Certification Center.
  • 2018.8 – 2019.8: Deputy Secretary General of Ya’an Government and Deputy Director of Ya’an Economic Development Zone.
  • 2010.8 – Present: Associate Professor, School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
  • 2022.1 – Present: Dean, Suining Digital Economy Research Institute, Suining, China.

Publication top Notes:

Meta-learning Based on Multi-objective Optimization

Transfer Learning for Indoor Localization Algorithm Based on Deep Domain Adaptation

 

Mr. Giancarlo Marulli | Mitigation Award | Best Researcher Award

Posted on by Global Sensor Awards

Mr. Giancarlo Marulli | Mitigation Award | Best Researcher Award 

Mr. Giancarlo Marulli, Faculdade de Engenharia da Universidade do Porto (FEUP), Portugal

Giancarlo Badini Marulli is currently pursuing a Doctorate in Civil Engineering at the Faculdade de Engenharia da Universidade do Porto (FEUP), where he has been a student since 2023. He began his academic journey in Agricultural Engineering at the Faculdade de Ciências Agronômicas, Universidade Estadual Paulista “Júlio de Mesquita Filho” (UNESP) in Botucatu, Brazil, in 2016. During his time at UNESP, he developed skills in AutoCAD, Microsoft Excel, and the R programming language. From 2017 to 2018, he conducted undergraduate research in Statistical Modeling under the guidance of Dr. Luzia Aparecida Trinca, supported by a PIBIC scholarship from CNPq.

Professional Profile:

Summary of Suitability for Best Researcher Award

Giancarlo Badini Marulli appears to be a strong candidate for the Best Researcher Award based on his extensive background in Civil Engineering and his active involvement in research and development. His academic journey, which began with a focus on Agricultural Engineering and transitioned into Civil Engineering, demonstrates a deep commitment to interdisciplinary knowledge and technical expertise.

Education:

  1. Faculdade de Engenharia, Universidade do Porto
    • Doctoral Program in Civil Engineering
    • Dates: September 11, 2023 – Present
    • Degree: Doutoramento em Engenharia Civil
  2. Faculdade de Engenharia, Universidade do Porto
    • Master’s in Civil Engineering
    • Dates: October 4, 2021 – July 28, 2023
    • Degree: Mestrado em Engenharia Civil
    • Dissertation Area: Structural Dynamics (Tunned Liquid Mass Damping Systems – TLD)
  3. Faculdade de Engenharia, Universidade do Porto
    • Bachelor’s in Engineering Sciences, specialization in Civil Engineering
    • Dates: September 17, 2018 – July 2, 2021
    • Degree: Licenciatura Ciências de Engenharia, orientação em Engenharia Civil
  4. Faculdade de Ciências Agronômicas (FCA), Universidade Estadual Paulista “Júlio de Mesquita Filho” (UNESP), Botucatu, SP, Brazil
    • Agricultural Engineering Course
    • Dates: 2016
    • During this period, he became familiar with AutoCAD, Microsoft Excel, and the R programming language. He also conducted an undergraduate research project in Statistics and Probability (Statistical Modeling) under the guidance of Professor Dr. Luzia Aparecida Trinca, funded by a PIBIC scholarship from CNPq (August 2017 – July 2018).

Work Experience:

  1. Institute of Research and Development in Structures and Construction (CONSTRUCT), Laboratory of Vibrations and Structural Monitoring (ViBest), Porto, Portugal
    • Position: Research Collaborator (Investigador Colaborador)
    • Dates: October 1, 2023 – June 30, 2024
    • Area: Control and Monitoring of Structures
  2. Núcleo de Tecnologias de Informação na Engenharia Civil (NTIEC), Faculdade de Engenharia, Universidade do Porto
    • Role: Research and Development Activities
    • Dates: 2020
    • Focus: Practical models for teaching Mechanics, MATLAB, Revit, LabVIEW, and 3D printing
  3. Faculdade de Engenharia, Universidade do Porto
    • Role: Extracurricular Activities with Prof. Dr. Carlos Manuel Ramos Moutinho
    • Dates: 2019
    • Focus: Development of practical models to aid in teaching Mechanics

Publication top Notes:

Experimental Testing on Tuned Liquid Dampers for Implementation in Industrial Chimneys

Experimental testing on Tuned Liquid Dampers (TLDs) aiming its implementation on industrial chimneys

Modelo para ensino da interação entre polias

Modelo para ensino de equilíbrio de um nó flutuante

Modelo para ensino do efeito de arco

 

 

Prof Dr. Chia-Yen Lee | Environmental Sensors Award | Best Researcher Award

Posted on by Global Sensor Awards

Prof Dr. Chia-Yen Lee | Environmental Sensors Award | Best Researcher Award 

Prof Dr. Chia-Yen Lee, National Pingtung University of Science and Technology, Taiwan

Prof. Chia-Yen Lee is a distinguished academic in the field of Mechanical Engineering with a focus on micro-sensors, micro-electro-mechanical systems (MEMS), HVAC systems, and indoor environment monitoring. He completed his B.S. and M.S. degrees in Mechanical Engineering at National Taiwan University, Taipei, Taiwan, in 1991 and 1993, respectively. He earned his Ph.D. in Engineering Science from National Cheng Kung University, Tainan, Taiwan, in 2004. Prof. Lee has held significant academic positions at National Pingtung University of Science and Technology (NPUST), where he served as a Professor from August 2010 to July 2021 and as a Distinguished Professor from August 2018. Prior to his tenure at NPUST, he was an Associate Professor at Da-Yeh University and a Visiting Scholar at the California Institute of Technology in 2007. His professional career also includes roles in industry as a Section Head at DiCon Fiberoptics, Inc., and senior engineering positions at TECO Electric and Machinery Co., Ltd.

Professional Profile:

 

Summary of Suitability for the Best Researcher Award:

  • Professor Lee’s research expertise includes micro-sensors, MEMS technology, and indoor environment monitoring. His recent work involves the development of infrared sensors based on ZnO thin films, MEMS-based pyroelectric infrared sensors, and Hall sensor arrays for magnetic field mapping.

Education:

🎓 B.S. in Mechanical Engineering
Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan (1987-1991)

🎓 M.S. in Mechanical Engineering
Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan (1991-1993)

🎓 Ph.D. in Engineering Science
Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan (2001-2004)

Professional History:

👨‍🏫 Distinguished Professor
National Pingtung University of Science and Technology, Taiwan (Aug 2018 – Jul 2021)

👨‍🏫 Professor
Department of Materials Engineering, National Pingtung University of Science and Technology, Taiwan (Aug 2010 – Jul 2018)

👩‍🏫 Associate Professor
Department of Materials Engineering, National Pingtung University of Science and Technology, Taiwan (Aug 2008 – Jul 2010)

👩‍🏫 Associate Professor
Department of Mechanical and Automation Engineering, Da-Yeh University, Taiwan (Aug 2007 – Jul 2008)

🌍 Visiting Scholar
Department of Electrical Engineering, California Institute of Technology, CA, U.S.A. (Jul 2007 – Aug 2007)

👨‍🏫 Assistant Professor
Department of Mechanical and Automation Engineering, Da-Yeh University, Taiwan (Aug 2004 – Jul 2007)

Publication top Notes:

Positioning System of Infrared Sensors Based on ZnO Thin Film

Positioning System of Infrared Sensors Based on ZnO Thin Film

Effect of Substrate-Thickness on Voltage Responsivity of MEMS-Based ZnO Pyroelectric Infrared Sensors

Design and Application of MEMS-Based Hall Sensor Array for Magnetic Field Mapping

Dr. Modupe Ojewumi | Environmentalism Award | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Modupe Ojewumi | Environmentalism Award | Best Researcher Award

Dr. Modupe Ojewumi, Department of Civil and Environmental Engineering, United States

Engr. Modupe Elizabeth Ojewumi is a researcher in Prof. Gang Chen’s Laboratory at the Department of Civil and Environmental Engineering, FAMU-FSU College of Engineering in Tallahassee, FL, A Nigerian citizen, whose research in the US focuses on Environmental Management with current research on the effects of mercury on underwater concrete and the production of hydrochar from waste for heavy metal removal. She completed her degree in Chemical Engineering at Covenant University, Nigeria, Her research there optimized the production of protein nutrients from Parkia biglobosa seeds.She completed her PhD in Chemical Engineering at Covenant University, Nigeria, where she was the first female to earn a PhD in the department and within the stipulated period. Dr. Ojewumi holds an M.Sc. in Chemical Engineering from the University of Lagos, Nigeria, and a B.Tech. in Chemical Engineering from Ladoke Akintola University of Technology, Nigeria. Her work includes 65 academic publications, 10 conference papers, contributions to three book chapters, and several innovations, including a mosquito breeder and a bioreactor. Her research has garnered 1146 citations on Google Scholar and 370 citations on Scopus. She completed her PhD in Chemical Engineering at Covenant University, Nigeria, where she was the first female to earn a PhD in the department and within the stipulated period.

Professional Profile:

Summary of Suitability for Best Researcher Award:

Engr. Modupe Elizabeth Ojewumi is a distinguished researcher currently working in Prof. Gang Chen’s Laboratory at the Department of Civil and Environmental Engineering, FAMU-FSU College of Engineering, Tallahassee, FL, Her academic credentials include:

Work Experience:

Various Positions (Including Research and Teaching)

    • Covenant University, University of Lagos, and Ladoke Akintola University of Technology, where contributions to chemical engineering and environmental studies were significant.

Publication top Notes:

Microstructure, Corrosion and Mechanical Performance of Zinc-Doped CuO/Nb Refinement on Mild Steel

Hydrochar Production by Hydrothermal Carbonization: Microwave versus Supercritical Water Treatment

Enhancing rubber (Hevea brasiliensis) seed shell biochar through acid-base modification for effective phenol removal from aqueous environments

Biodegradation of waste papers: A sustainable technology for a clean environment

Molecular Compositions and Morphological Structures of Fermented African Locust Bean Seed (Parkia biglobosa)

Bio-Conversion of Waste Paper Into Fermentable Sugars—A Review

 

 

 

 

Assoc Prof Dr. Wesam Beitelmal | Combat Change Award | Best Researcher Award

Posted on by Global Sensor Awards

Assoc Prof Dr. Wesam Beitelmal | Combat Change Award | Best Researcher Award 

Assoc Prof Dr. Wesam Beitelmal, Dhofar University, Oman

Dr. Wesam H. Beitelmal is an accomplished Civil Engineering professional with a specialization in Construction Engineering and Management. With over twenty years of diverse experience spanning academia and industry, he has managed and implemented significant infrastructure projects, including roads and administrative buildings. Currently serving as the Assistant Dean at Dhofar University in Oman, Dr. Beitelmal is known for his dedication to multidisciplinary research, focusing on asset management, sustainability, disaster risk management, and engineering education. His academic credentials include a Ph.D.

Professional Profile:

 

Summary of Suitability for Best Researcher Award

Dr. Wesam H. Beitelmal stands out as a highly suitable candidate for the Best Researcher Award based on his extensive academic and professional achievements in Civil Engineering, particularly in Construction Engineering and Management. His educational background, including a Ph.D. from the University of Colorado Boulder and multiple master’s degrees, reflects his strong foundation in research and education.

Education:

  • University of Colorado Boulder, Colorado (2011 – 2016)
    • Ph.D. in Civil Engineering, emphasis in Construction Engineering and Management
    • Dissertation: Towards an Infrastructure Asset Management Organizational Model for Developing Countries
    • Master of Science in Civil Engineering, emphasis in Construction Engineering and Management
  • The Libyan Academy, Benghazi, Libya (2004 – 2009)
    • Master of Science in Engineering Management (Honors)
    • Thesis: Development of an Improved System Determination of Contract Time of Local Road Construction Projects
  • University of Benghazi (Garyounis), Benghazi, Libya (1994 – 1999)
    • Bachelor of Science in Civil Engineering

Professional Experience:

Academic:

  • Dhofar University, Oman (2019 – Present)
    • Assistant Dean, Deanship of Admission & Registration and Student Affairs
    • Assistant Professor:
      • Teaches courses including Introduction to Engineering, Engineering Economy, Urban Transport Planning, Construction Management, Specification and Cost Estimation, Highway Design, Strength of Materials, Surveying and GPS
  • Misurata University, Libya (2017 – 2019)
    • Lecturer:
      • Taught Introduction to Asset Management, Risk Management and Decision Analysis, Project Management
  • American University of Libya, Libya (2017 – 2018)
    • Lecturer:
      • Taught Managing Innovations, Research and Writing

Publication top Notes: