Category: Biography

Summary of Suitability – Dr. Meir Tibrin Marmor for Best Researcher Award

Dr. Meir Tibrin Marmor is a distinguished clinician-scientist in orthopaedic trauma surgery with over two decades of training, research, and clinical practice in high-impact academic and clinical environments. Currently a Professor of Clinical Orthopaedic Surgery at the University of California, San Francisco (UCSF), he combines surgical excellence with robust contributions to medical research and technology.

🎓 Education

📘 B.Sc. in Medical Sciences – Israel Institute of Technology, Haifa (1988–1992) cum laude
🩺 M.D. in Medicine – Ruth and Bruce Rappaport Faculty of Medicine, Israel Institute of Technology (1992–1996) cum laude
🏥 Orthopaedic Surgery Residency – Tel-Aviv Medical Center & Barzilai Medical Center, Israel (2000–2008)
🌍 AO Fellowship in Orthopaedic Trauma – Saarland University Hospital, Germany (2008)
🔬 Research Fellowship – UCSF, Orthopaedic Trauma (2008–2009)
🩻 Clinical Fellowship – UCSF, Orthopaedic Trauma Surgery (2009–2010)
🦴 Joint Replacement Fellowship – Joint Replacement Institute, Los Angeles (2017–2018)
💻 Master’s in Information and Data Science (MIDS) – UC Berkeley (2022–2024)

🧑‍⚕️ Work Experience

👨‍🏫 Professor of Clinical Orthopaedic Surgery – UCSF, Step 1 (Current)
🏥 Orthopaedic Trauma Surgeon at:
- Zuckerberg San Francisco General Hospital (ZSFG)
- Enloe Medical Center, Chico, CA (2012–2014)
- Regional Medical Center of San Jose (2013–2022)
👨‍🔬 Research and Medical Director Roles:
- Clinical Research Director – UCSF @ Regional Medical Center
- Medical Director – Biomechanics Testing Facility @ UCSF
- Director – Geriatric Orthopaedic Trauma Service & OTI Digital Science Lab @ ZSFG
- Chief – Orthopaedic “Blue” Service @ ZSFG

🏆 Honors and Awards

🎖️ B.Sc. Medical Sciences – cum laude (1992)
🎖️ M.D. – cum laude (1997)
🪖 Operational Performance Citation – Lebanon Front, IDF (1999)
💰 Fellowship Scholarships – American Physicians Fellowship & Israeli Medical Association (2008)
🖼️ “Best Poster” Award – OTA 25th Annual Meeting, San Diego (2009)
📜 Best Paper Nomination – CAINE Conference (2014)
💡 Kathy Cramer Young Clinicians Research Development Award – OTA (2015)
🏅 Howard Rosen Table Instructor Award – AO Trauma North America (2018)

Publication Top Notes:

Revisiting the OTA-OFC: a systematic review of open fracture classification studies since 2010

Artificial intelligence: international perspectives on critical issues

The Impact of National Orthopaedic Fracture Registries: A Systematic Review

Patient Recruitment Characteristics for Wearable-Sensor-Based Outcome Assessment in Trauma Surgery

A scoping review and critical appraisal of orthopaedic trauma research using the American College of Surgeons National Trauma Data Bank

Worldwide research trends concerning operative competence in orthopedics: A bibliometric and visualization study

Does the CDC Surgical Wound Classification adequately predict postoperative infection in lower extremity fracture surgery?

Mortality, perioperative complications and surgical timelines in hip fracture patients: Comparison of the Spanish with the non-Spanish Cohort of the HIP ATTACK-1 trial

Dr. Josip Batur | Neutron detectors | Best Researcher Award

Posted on 09/06/2025 by Global Sensor Awards

Dr. Josip Batur | Neutron detectors | Best Researcher Award

Dr. Josip Batur, Ruder Boskovic Institute, Croatia

Josip Batur is a dedicated physicist currently pursuing doctoral studies in Nuclear Physics at the Faculty of Natural Sciences and Mathematics, University of Zagreb. Since 2020, he has worked as an Assistant at the Laboratory for Nuclear Analytical Methods at the Ruder Boskovic Institute, where he contributes to advanced research involving neutron probes and nuclear well logging techniques. Josip has co-authored multiple peer-reviewed publications in renowned scientific journals, focusing on applications of neutron-based methods for oil logging and impurity detection. His work has earned him prestigious awards, including the Best Poster Presentation at the ISRP15 conference and an annual scientific paper award from the Ruder Boskovic Institute. Fluent in English and skilled in programming and data analysis tools such as Python and MCNP6.2, Josip combines strong technical expertise with a passion for science communication, having appeared in Croatian TV documentaries to promote scientific knowledge. Outside of research, he enjoys pub quizzing, chess, and volunteering.

Professional Profile:

Summary of Suitability – Josip Batur for Best Researcher Award

Josip Batur is a highly motivated physicist specializing in nuclear physics with a strong research focus on neutron-based analytical methods, particularly applied to oil logging and borehole research. Currently pursuing his doctoral studies at the University of Zagreb and working as an assistant at the Ruder Boskovic Institute, he has contributed significantly to advancing neutron probe technology for Carbon-to-Oxygen (C/O) nuclear well logging.

🎓 Education

Doctoral Study (2020 – Present)
Faculty of Natural Sciences and Mathematics, Zagreb University
Department of Physics, module: Nuclear Physics
Research Oriented Course (2011 – 2019)
Faculty of Natural Sciences and Mathematics, Zagreb University
Department of Physics
High School (2007 – 2011)
Franjo Petrić High School, Zadar
Natural Science/Mathematics Course

💼 Work Experience

Assistant at Laboratory for Nuclear Analytical Methods
Ruder Boskovic Institute, Dec 2020 – Present
Math Content Creator
Photomath d.o.o, Zagreb, Jan 2020 – Dec 2020
Private Tutor (Natural Sciences & Mathematics)
Zagreb/Zadar, 2011 – Present

🏆 Achievements & Awards

🥇 Best Poster Presentation Award, ISRP15, Kuala Lumpur (2021)
🏅 Ruder Boskovic Institute Annual Award for Scientific Paper (2022)
🎉 Winner on TV Quiz Shows:
- Sifra (Cypher): 125,000 kn
- Potjera (Chase): 54,500 kn
- Who Wants to Be a Millionaire: 32,000 kn
📺 Science Promotion Appearances on TV Documentary Series: Prometej (2022) and Znanstveni krugovi (2022)

Publication Top Notes:

On-line determination of the water cut and chlorine impurities in crude oil using a pulsed beam of fast neutrons

Dr. Nikolaos Tsoulias | Precision Agriculture | Best Researcher Award

Posted on 09/06/2025 by Global Sensor Awards

Dr. Nikolaos Tsoulias | Precision Agriculture | Best Researcher Award

Dr. Nikolaos Tsoulias, Hochschule Geisenheim University, Germany

Nikos Tsoulias is a Senior Researcher and Lecturer at Hochschule Geisenheim University in Germany, specializing in agricultural engineering with a focus on precision horticulture and the integration of advanced AI and machine learning techniques in agriculture. He holds a Ph.D. in Precision Horticulture from the Agricultural University of Athens and multiple master’s degrees in Precision Farming and Agricultural Engineering. Nikos has extensive research experience in real-time sensor communication, machine vision systems, and data acquisition software development for agricultural applications, particularly in vineyards and perennial crops. His work includes leading projects on ISO-compliant machinery integration, LiDAR and thermal imaging data fusion, and the development of predictive models for crop management. He has contributed to numerous international research collaborations and published widely in journals on smart agricultural technologies. With expertise in programming languages such as Python, MATLAB, and C++, Nikos combines cutting-edge technology with practical agricultural solutions to advance sustainability and productivity in modern farming.

Professional Profile:

Summary of Suitability – Nikos Tsoulias for Best Researcher Award

Nikos Tsoulias is an accomplished researcher and academic in the field of precision horticulture and agricultural engineering, with a robust blend of expertise in advanced sensing technologies, machine learning, and real-time agricultural applications. His work focuses on developing innovative solutions that integrate optical sensors, machine vision, and data acquisition systems to enhance sustainable agricultural practices.

🎓 Education

Ph.D. in Precision Horticulture
Agricultural University of Athens, Greece | 2018 – 2021
MSc in Precision Farming
Harper Adams University, UK | 2014 – 2015
MSc in Agricultural Engineering
Agricultural University of Athens, Greece | 2012 – 2014
BSc in Agriculture
Agricultural University of Athens, Greece | 2009 – 2012

💼 Work Experience

Senior Researcher (Agricultural Engineering)
Hochschule Geisenheim University, Germany | Jan 2023 – Present
Postdoctoral Researcher (Precision Horticulture)
Leibniz Institute for Agricultural Engineering and Bioeconomy, Germany | Nov 2021 – Present
Doctoral Researcher (Precision Horticulture)
Leibniz Institute for Agricultural Engineering and Bioeconomy, Germany | Jun 2018 – Nov 2021
Research Associate (Precision Horticulture)
Leibniz Institute for Agricultural Engineering and Bioeconomy, Germany | Jan 2017 – Jun 2017
Research Associate (Precision Farming)
Harper Adams University, UK | Jan 2015 – Aug 2015

🏆 Achievements & Awards

Lead author of impactful journal articles on real-time applications in perennial trees and vegetables, ISO11783-compliant variable rate spraying, and UAV-based fruit detection and yield estimation.
Successfully developed innovative machine vision systems and data acquisition software for precision horticulture applications.
Played a key role in H2020 and EIP-AGRI projects involving machine learning and agricultural robotics.

🌟 Honors & Recognition

Recognized expert in precision horticulture and agricultural engineering with international collaborations and leadership roles.
Contributor to multiple international scientific journals and conferences, enhancing sustainable agricultural technology development.

Publication Top Notes:

Real-time applications in perennial trees and vegetables – A review

Developing an ISO11783-compliant prescription map for variable rate spraying in vineyards based on 3D canopy reconstruction

Fruit Detection and Yield Mass Estimation from a UAV Based RGB Dense Cloud for an Apple Orchard

Fruit Water Stress Index of Apple Measured by Means of Temperature-Annotated 3D Point Cloud

Fruit surface temperature data at different ripeness stages and ambient temperature provided as temperature-annotated 3D point clouds of apple trees

Hyper- and Multi-spectral Imaging Technologies

Prof. Dr. Alaa Niamah | Food Microbiology | Best Researcher Award

Posted on 09/06/2025 by Global Sensor Awards

Prof. Dr. Alaa Niamah | Food Microbiology | Best Researcher Award

Prof. Dr. Alaa Niamah, University of Basrah, Iraq

Prof. Dr. Alaa Kareem Niamah is a distinguished Professor of Biotechnology in the Department of Food Science at the College of Agriculture, University of Basrah, Iraq. Born on June 11, 1979, in Al-Shatrah, Dhi Qar Governorate, he holds a Ph.D. in Food Science with a specialization in Biotechnology. With a rich academic career spanning over two decades, he has progressed from assistant lecturer to full professor, focusing on dairy microbiology, applied human nutrition, and fermented dairy products at both undergraduate and postgraduate levels. Prof. Niamah has actively contributed to numerous national and international conferences and has been involved in multiple scientific committees. He holds patents such as an electronic system for detecting pesticide residues in raw milk and has participated in advanced training programs worldwide, including at Harvard Medical School and the International Center for Genetic Engineering and Biotechnology. His extensive professional affiliations include memberships in leading international societies related to chemical, biological, and environmental engineering, reflecting his commitment to advancing food science and biotechnology research in Iraq and beyond.

Professional Profile:

Summary of Suitability – Prof. Dr. Alaa Kareem Niamah for Best Researcher Award

Prof. Dr. Alaa Kareem Niamah is a highly distinguished academic and researcher in the field of food science and biotechnology, with a prolific track record spanning over two decades. His expertise encompasses dairy microbiology, probiotics, functional foods, and food safety, making him a global contributor to food technology advancement.

🎓 Education & Academic Qualifications

Ph.D. in Food Science (Biotechnology specialty)
University of Basrah, Iraq

💼 Work Experience & Academic Positions

Assistant Lecturer on Probiotic Bacteria (2004 – 2010)
Lecturer of Dairy Microbiology (2010 – 2013)
Assistant Professor of Dairy Microbiology (2013 – 2018)
Professor of Biotechnology (2018 – Present)
Department of Food Science, College of Agriculture, University of Basrah

🏆 Achievements & Contributions

Patent:
- Designed and implemented an electronic system for detecting pesticide residues in raw milk (2021) 🥛🔬
Teaching Expertise:
- Dairy Microbiology, Applied Human Nutrition, General Microbiology, Agricultural Research, Fermented Dairy Products, Bacteriocins, Applied Microbiology
Conference Participation:
- Active in numerous national and international conferences as participant, organizing committee, and reviewer (from 2005 to 2024) 🌍📅
Workshops & Training:
- Completed specialized courses on Biotechnology, Microbiology, Proteomics, Genetic Applications, and COVID-19 immunological testing 🧬🦠
Memberships:
- Member of multiple international scientific societies, including ISDS, IICBE, EACBEE, and others 🌐

🏅 Awards & Honors

Recognized for scientific contributions through involvement in prestigious international conferences and committees
Leadership roles in organizing and reviewing for global conferences in food science, agriculture, and biotechnology

Publication Top Notes:

Applications of Green Synthesis of Nanoparticles Using Microorganisms in Food and Dairy Products: Review

Effect of Encapsulated Bacteria Limosilactobacillus reuteri on the Physicochemical, Microbial, and Sensory Characteristics of Yogurt Produced from Sheep’s Milk

Oxalate Degrading Screening and Probiotic Properties of Lactic Acid Bacteria Isolates

Survival and Viability of Limosilactobacillus reuteri Bacteria: A Comparative Study between Free and Microencapsulated Forms under Gastrointestinal and Thermal Stress Conditions

Enzymes for meat and meat processing industry: current trends, technological development, and future prospects

Immunomodulation capability and cytotoxicity activities of novel exopolysaccharides produced by a new local strain, Bifidobacterium longum subsp. infantis strain Iraq-Basrah 3

Vacuum oven drying technology using in the microencapsulation of Limoslactobacillus reuteri

Mrs. Mojgan Sami | Heat Detection | Best Researcher Award

Posted on 09/06/2025 by Global Sensor Awards

Mrs. Mojgan Sami | Heat Detection | Best Researcher Award

Mrs. Mojgan Sam, University of the West of England, United Kingdom

Mojgan Sami is a Ph.D. student in Big Data and Energy Consumption at the University of the West of England (UWE), Bristol, UK. Her doctoral research focuses on the data-driven estimation of Heat Transfer Coefficients (HTC) in buildings by leveraging IoT sensor and smart meter data, contributing actively to the International Energy Agency’s Annex 94 on building energy performance data validation. She holds an MSc in Data Science from UWE, where she graduated with distinction, and a BSc in Computer Software Engineering from Isfahan University of Technology, Iran. Mojgan has a strong background in both academia and industry, with over a decade of software development experience, including a leadership role at Digikala. She has published in peer-reviewed journals, including a comprehensive systematic review on machine learning for HTC estimation. Her technical expertise spans Python, C#, .NET Core, Kafka, SQL, and modern DevOps tools, and she is passionate about sustainable technologies, data science, and smart energy solutions.

Professional Profile:

Summary of Suitability – Mojgan Sami for Best Researcher Award

Mojgan Sami is an emerging research talent whose interdisciplinary expertise in data science, software engineering, and energy consumption modeling positions her as a highly deserving candidate for the Best Researcher Award. Currently pursuing a PhD at the University of the West of England (UWE), Bristol, she is contributing to cutting-edge research in smart building energy efficiency using IoT and big data.

🎓 Education

📘 PhD in Big Data and Energy Consumption
University of the West of England (UWE), Bristol, UK
(Jan 2023 – Present)
- Focus: Data-driven estimation of Heat Transfer Coefficient (HTC) using IoT sensors and smart meters.
- Active in Annex 94 (IEA-EBC) for energy data validation.
📊 MSc in Data Science
UWE, Bristol, UK
(Sep 2021 – Sep 2022)
- Graduated with Distinction 🏅
- Thesis: Energy Consumption Analysis in Student Accommodations.
💻 BSc in Computer Software Engineering
Isfahan University of Technology, Iran
(Sep 2006 – Sep 2010)
- Final Project: Affine model comparison using RANSAC algorithms.

💼 Work Experience

👩‍🏫 Teaching Assistant – Python Programming
UWE, Bristol, UK (2023–2024)
- Supported MSc students in labs on Python and data analytics.
🧑‍💻 Lead Software Developer
Digikala, Tehran, Iran (2018–2021)
- Led development of scalable affiliate marketing modules.
- Tech stack: .NET Core, Redis, Kafka, SQL Server.
💼 Software Developer
Payam-e-Mashregh, Isfahan, Iran (2010–2018)
- Created enterprise software: biometric systems, food ordering, and gateways.

🏆 Achievements & Honors

📚 First-Author Publication
Sami, M., & Sierra, F. (2025) – Systematic Review on ML-based HTC Estimation
🔗 DOI:10.1016/j.buildenv.2025.113220
- PRISMA-compliant review of 63 studies on machine learning and sensors for HTC.
🎖️ Graduated MSc with Distinction
Recognized for academic excellence in Data Science.
🌐 Contributor to International Research Effort
- Part of Annex 94 (IEA-EBC): advancing global standards in building energy performance data.

Publication Top Notes:

Using Machine Learning (ML) for Heat Transfer Coefficient (HTC) measurement in buildings: A systematic review

Assoc. Prof. Dr. Wen-Fong Wang | Gait Analysis | Best Researcher Award

Posted on 06/06/2025 by Global Sensor Awards

Assoc. Prof. Dr. Wen-Fong Wang | Gait Analysis | Best Researcher Award

Assoc. Prof. Dr. Wen-Fong Wang, National Yunlin University of Science and Technology, Taiwan

Dr. Wen-Feng Wang is an Associate Professor in the Department of Computer Science and Information Engineering at National Yunlin University of Science and Technology (YunTech), Taiwan. He earned his Ph.D. and M.S. degrees in Electrical Engineering and Computer Science from National Cheng-Kung University and his B.S. degree from National Cheng-Chi University. Dr. Wang’s research focuses on e-Health and medical informatics, with particular expertise in EKG and PPG signal analysis, gait signal processing, wearable computing, and IoT-based smart health systems. His work also spans embedded system design and computer networking technologies. He has received prestigious honors including the Outstanding Research Team Award from Taiwan’s National Science Council and a Gold Medal at the 2020 Taiwan Innotech Expo for his innovative gait analysis system based on tri-axial accelerometer technology. Dr. Wang is recognized for his impactful contributions to smart healthcare technologies and wearable system development.

Professional Profile:

Summary of Suitability for the Research for Best Researcher Award: Dr. Wen-Feng Wang

Dr. Wen-Feng Wang, Associate Professor at the Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology (YunTech), Taiwan, is an exceptional candidate for the Research for Best Researcher Award. His outstanding interdisciplinary research contributions at the intersection of e-Health, biomedical signal processing, embedded systems, and IoT-based smart health systems strongly support his nomination.

🎓 Education

Ph.D. in Computer Science or Electrical Engineering
– Department of Electrical Engineering, National Cheng-Kung University, Taiwan 🇹🇼
M.S. in Computer Science or Electrical Engineering
– Department of CSIE, National Cheng-Kung University, Taiwan 🇹🇼
B.S. in Computer Science or Electrical Engineering
– Department of Applied Mathematics, National Cheng-Chi University, Taiwan 🇹🇼

🧑‍🏫 Current Position

Associate Professor
– Department of Computer Science and Information Engineering
– National Yunlin University of Science and Technology (YunTech), Douliu City, Yunlin County, Taiwan

🧪 Research Interests

💻 e-Health & Medical Informatics
❤️ EKG and PPG Signal Analysis
🚶 Gait Signal Processing & Analysis
⌚ Wearable Computing
🧩 Embedded System Design
🌐 Computer Networking
🏥 IoT-based Smart Health Systems

🏆 Awards & Honors

🥇 Gold Medal, 2020 Taiwan Innotech Expo
– Project: Gait Analysis System Based on Tri-Axial Accelerometer Technology
👏 Outstanding Research Team Award, National Science Council (NSC), Taiwan
– For leading the Free Software and Embedded Systems Project

Publication Top Notes:

Hybrid approach to heart rate estimation: comparing Green, CHROM and POS methods in rPPG analysis

Gait abnormalities and longitudinal fall risk in older patients with end-stage kidney disease and sarcopenia

A machine learning approach for identification of vascular access patency in hemodialysis patients using photoplethysmography: A pilot study

An efficient data hiding for ECG signals based on the integer wavelet transform and block standard deviation

Intelligent Fall-Risk Assessment Based on Gait Stability and Symmetry Among Older Adults Using Tri-Axial Accelerometry

An efficient reversible ECG steganography by adaptive LSB approach based on 1D FDCT domain

Prof. Yufeng Yang | Intelligent Sensing | Best Researcher Award

Posted on 06/06/2025 by Global Sensor Awards

Prof. Yufeng Yang | Intelligent Sensing | Best Researcher Award

Prof. Yufeng Yang, Xi’an University of Technology, China

Dr. Yang Yufeng is an Associate Professor at the College of Automation and Information Engineering, Xi’an University of Technology, China. He holds a Ph.D. and is a member of both the Chinese Society of Electronics and the Optical Engineering Society. His primary research interests include wireless laser communication, LiDAR-based localization and navigation, and unmanned vehicle path planning. Dr. Yang has led and completed numerous research projects supported by the National Natural Science Foundation of China, the Shaanxi Provincial Foundation, and the Shaanxi Key Industry Innovation Chain Project. He has authored over 30 SCI/EI-indexed papers, compiled two academic textbooks, and filed more than ten invention patents. His work contributes significantly to the advancement of intelligent sensing and autonomous systems.

Professional Profile:

Summary of Suitability for the Research for Best Researcher Award: Dr. Yang Yufeng

Dr. Yang Yufeng, Associate Professor at the College of Automation and Information Engineering, Xi’an University of Technology, is a highly qualified and impactful candidate for the Research for Best Researcher Award. His research contributions in wireless laser communication, LiDAR-based localization, navigation, and unmanned vehicle path planning are not only timely but also vital to the advancement of intelligent systems and autonomous technologies.

🎓 Education & Academic Background

Ph.D. in a relevant field
Affiliated with the College of Automation and Information Engineering, Xi’an University of Technology

💼 Work Experience

👨‍🏫 Associate Professor, Xi’an University of Technology
🤝 Member, Chinese Society of Electronics
🔬 Member, Optical Engineering Society

🏆 Achievements

📡 Specialized in Wireless Laser Communication, LiDAR Localization & Navigation, and Unmanned Vehicle Path Planning
✅ Successfully led multiple research projects funded by:
- National Natural Science Foundation of China
- Shaanxi Provincial Foundation
- Shaanxi Key Industry Innovation Chain Project
📘 Authored 2 textbooks on specialized engineering topics
📝 Published 30+ SCI/EI-indexed research papers
💡 Filed 10+ invention patents in the fields of sensing and automation

🥇 Awards & Honors

🎖️ Recognized for contributions to intelligent navigation and optoelectronic systems
🧪 Honored by national and provincial bodies for innovative research in LiDAR and wireless communication

Publication Top Notes:

Rough-Terrain Path Planning Based on Deep Reinforcement Learning

Orthogonal Frequency Division Multiplexing for Visible Light Communication Based on Minimum Shift Keying Modulation

Influence of Target Surface BRDF on Non-Line-of-Sight Imaging

Prof. Dongxian He | Sensors | Innovative Research Award

Posted on 06/06/2025 by Global Sensor Awards

Prof. Dongxian He | Sensors | Innovative Research Award

Prof. Dongxian He, China Agricultural University, China

Prof. Dongxian He is a distinguished expert in plant environmental physiology and agricultural bio-environment engineering at the College of Water Resources and Civil Engineering, China Agricultural University. He serves as a key contributor at the Ministry of Agriculture’s Key Laboratory for Agricultural Engineering in Structure and Environment. With a Ph.D. from Chiba University, Japan, under the mentorship of Prof. Toyoki Kozai, Prof. He has dedicated his career to advancing plant factory technologies, greenhouse productivity systems, and environmental control mechanisms. His pioneering work includes the development of LED-based plant growth equipment, intelligent environmental control systems, CO₂ enrichment technologies, and advanced information monitoring instruments. He has led major national projects such as the Intelligent Control of National Traditional Chinese Medicine Industry System (CARS-21) and intelligent harvesting equipment development for Chinese medicinal plants. Prof. He has held research positions in Japan and Denmark and continues to educate and mentor students in courses like Environmental Physiology and Plant Information Measurement Technology. His academic contributions and technological innovations significantly impact the sustainable development of modern agriculture in China.

Professional Profile:

Summary of Suitability for the Research for Innovative Research Award: Professor Dongxian He

Professor Dongxian He is a highly suitable and deserving candidate for the Research for Innovative Research Award, given his pioneering contributions in the fields of bio-environmental engineering, plant physiology, and smart agricultural systems. His distinguished academic and professional journey, spanning over three decades and multiple international collaborations, demonstrates consistent innovation and impactful research aligned with global priorities in sustainable agriculture and environmental technologies.

🎓 Education

Ph.D. (1999–2002) – Chiba University, Japan 🇯🇵
Department of Science and Technology
Thesis: Plug-transplant production and image analysis system for sweet potato
M.S. (1997–1999) – Chiba University, Japan 🇯🇵
Department of Horticulture
Thesis: Simulation of solar radiation in PV greenhouses
B.S. (1988–1992) – China Agricultural University, China 🇨🇳
Department of Engineering
Thesis: Economic analysis in mechanized agriculture

💼 Work Experience

Professor – China Agricultural University (2002–Present) 👨‍🏫
Researcher – Danish Institute of Agricultural Engineering (2005–2006) 🇩🇰
JSPS Fellow – National Agricultural Research Center, Japan (2002–2005) 🧪
Assistant Researcher – Chiba University (1996–1997) 🧑‍🔬
Assistant Engineer – China Agricultural University (1992–1995) 🛠️

🌟 Key Achievements

Developed cutting-edge plant factory technologies including:
- LED lighting systems 💡
- Smart environmental and nutrient control systems 🌿
Advanced CO₂ enrichment and energy-efficient heating tech for greenhouses 🌡️
Innovated several measurement systems for soil, gas exchange, and chlorophyll fluorescence 🔬

🏆 Awards & Honors

🇨🇳 Scientist Project Leader: National Traditional Chinese Medicine Industry Tech System (2019–2025)
🎯 Principal Investigator: National Key R&D Program for intelligent harvesting and processing of medicinal plants (2024– )
🎖️ Multiple international collaborations and fellowships, including JSPS (Japan) and Danish Agricultural Engineering Institute

Publication Top Notes:

Light/Dark Cycle Lighting Influences Growth and Energy Use Efficiency of Hydroponic Lettuces in an LED Plant Factory

Enhancing transplant quality by optimizing LED light spectrum to advance post-transplant runner plant propagation in strawberry

A microfluidic biosensor for microbial quantitative monitoring of air and nutrient solution in the plant factory

Enhancing the Photon Yield of Hydroponic Lettuce Through Stage-Wise Optimization of the Daily Light Integral in an LED Plant Factory

Higher Light Intensity Combined with Early Topping Improves the Yield and Quality of Pea Shoots in LED Plant Factory

Dr. Ohidul Alam | Environmental Pollution | Best Researcher Award

Posted on 05/06/2025 by Global Sensor Awards

Dr. Ohidul Alam | Environmental Pollution | Best Researcher Award

Post-doc Research Fellow at Jiangsu University, China

Dr. Ohidul Alam is a Post-doctoral Research Fellow at the School of the Environment and Safety Engineering, Jiangsu University, China. With a Ph.D. in Environmental Engineering from East China University of Science and Technology, and a strong academic foundation through degrees from Tongji University and the University of Chittagong, Dr. Alam has developed a robust expertise in hazardous waste treatment, environmental materials, and pollution control. His research focuses on microplastics, heavy metals, coastal and wetland ecosystems, life cycle assessment, and sustainable waste management. Dr. Alam has authored 16 SCI-indexed journal articles and contributed to numerous international and national publications and conferences. His work spans academic and applied research, including leading roles in over a dozen projects related to environment, climate change, and sustainable livelihoods. In addition to his research achievements, he brings substantial experience in environmental consulting and academic instruction. Dr. Alam is known for his technical skills in chemical analysis, laboratory instrumentation, and scientific communication, as well as his commitment to fostering environmental sustainability and innovation through interdisciplinary collaboration.

Professional Profile:

An in-depth review on municipal solid waste management, treatment and disposal in Bangladesh

🎓 Education

Ph.D. in Environmental Engineering
East China University of Science and Technology, Shanghai, China (2016–2021)
🧪 Thesis: Preparation of adsorbents from shrimp/crab shells for heavy metal adsorption and stabilization.
M.Eng. in Environmental Engineering
UNEP-Tongji Institute of Environment for Sustainable Development, Tongji University, Shanghai (2014–2016)
⚗️ Thesis: Heavy metal contents in plastic bags & distribution during thermal treatment.
M.S. in Environmental Science
University of Chittagong, Bangladesh (2010–2011; held in 2013)
♻️ Thesis: Life-cycle perspective healthcare waste management in Chittagong.
B.Sc. (Hons.) in Environmental Science
University of Chittagong, Bangladesh (2006–2007; held in 2012)
🏥 Project: Medical waste management in Chittagong City.
HSC & SSC
Govt. City College & Shilkhali High School, Bangladesh
📘 Strong academic foundation in science and environmental subjects.

💼 Work Experience

Post-doctoral Research Fellow
Jiangsu University, China (Apr 2023 – Present)
🔬 Researching heavy metals, microplastics, waste management, and LCA.
Environmental Officer
Sustainable Enterprise Project (SEP), IDF, Bangladesh (Aug 2022 – Mar 2023)
Manager
Aurora Consultant Ltd., Bangladesh (Jun 2022 – Jul 2022)
Consultant, Research & Knowledge Management
DM WATCH, Bangladesh (Oct 2021 – May 2022)
Environmental Consultant
SETS, Chattogram, Bangladesh (Mar 2020 – Sep 2021)
Guest Lecturer
Chattogram Polytechnic Institute (Jan – Aug 2014)
Research Assistant Roles (2012–2014)
📊 Projects funded by IUCN, GIZ, CODEC, and Japan Foundation covering socio-economic studies, biodiversity conservation, ship-breaking industry, and climate adaptation.

🏆 Key Achievements

📚 Publications:
- 16 SCI-indexed journal papers
- 9 open access international papers
- 3 national journal articles
- 13 international conference papers
- 3 technical notes/working papers
🔬 Research Excellence:
- Expertise in waste recycling, LCA, hazardous waste treatment, heavy metals, and microplastics
- Research leader/PI in 5 major environmental projects
- Associate/Assistant roles in 7+ academic and field-based research projects
🌍 Interdisciplinary Impact:
- Integrated work on environmental policy, climate resilience, healthcare waste, and green enterprise development
💡 Knowledge Sharing:
- Writes English articles in Daily Sun, Daily Independent, Financial Express, Energy Bangla, and Holiday

🏅 Honors & Recognitions

🎤 International Speaker & Presenter at events like:
- 2nd South Asian Climate Conference, Dhaka (2024)
- ISCCES Seminar at NSTU, Noakhali (2024)
- IWWGR-ARB Symposium, Shanghai (2015)
📘 Specialized Training Participation:
- Summer School, Chinese Academy of Sciences (2015)
- LEAF & MFA-LCA modeling workshops (2012–2015)
- HEQEP training on Community-Based Climate Adaptation (2013)

Publication Top Notes:

Cited: 227

Characteristics of plastic bags and their potential environmental hazards

Cited: 181

Determination of the selected heavy metal and metalloid contents in various types of plastic bags

Cited: 45

Heavy metals dispersion during thermal treatment of plastic bags and its recovery

Cited: 44

Remediation of heavy metals polluted soil environment: A critical review on biological approaches

Cited: 33

Assoc. Prof. Dr. Massoud Moslehpour | Metaverse | Best Researcher Award

Posted on 04/06/2025 by Global Sensor Awards

Assoc. Prof. Dr. Massoud Moslehpour | Metaverse | Best Researcher Award

Associate Professor at Asia University, Taiwan

Massoud Moslehpour (穆馬速) is an Associate Professor at Asia University, Taiwan, and a distinguished educator and researcher with over two decades of international academic experience. He holds a Ph.D. in Industrial Technology from the University of Missouri-Columbia, with supporting areas in Higher and Adult Education, Curriculum Development, and Spanish. His academic career spans teaching and administrative roles across Taiwan, the United States, China, Vietnam, Mongolia, and beyond. Dr. Moslehpour has demonstrated leadership in academic program development, English as a Medium of Instruction (EMI) integration, and AACSB accreditation. His research contributions in technology management, artificial intelligence, and gender equity have earned him over 4,000 citations and an h-index of 33 as of August 2024. He is highly regarded for fostering cross-cultural academic collaboration, organizing international conferences, and advancing global education through curriculum innovation and student exchange partnerships. His professional journey reflects a deep commitment to educational excellence, internationalization, and impactful research.

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