Assoc. Prof. Dr. Zhicheng Zheng, Henan University, China

Dr. Zheng Zhicheng is an Associate Researcher at Henan University, specializing in Human Geography. He holds a Ph.D. and has developed a strong academic profile through extensive research on urban spatial equity, ride-hailing dynamics, accessibility analysis, and the environmental impacts of urbanization. His work has been widely published in top-tier journals such as Journal of Transport Geography, Cities, Applied Geography, BMC Public Health, and Journal of Cleaner Production, with multiple articles indexed in SSCI and SCI Q1. Dr. Zheng’s research employs cutting-edge methodologies including web mapping APIs, spatio-temporal analysis, and ecosystem health frameworks to explore pressing issues in urban and environmental studies. He is actively engaged in interdisciplinary research, combining geospatial technologies and socio-economic analysis to inform sustainable urban development strategies.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for the Research for Best Researcher Award: Zheng Zhicheng

Dr. Zheng Zhicheng, an Associate Researcher at Henan University specializing in Human Geography, has demonstrated exceptional scholarly impact through a prolific and high-quality publication record. His research focuses on spatial equity, ride-hailing travel, urban mobility, public health, and accessibility to services—topics with significant societal relevance in urban planning, sustainable transport, and environmental management. With multiple SSCI and SCI Q1 publications, including recent 2025 works in Journal of Transport Geography and Acta Geographica Sinica, his contributions are both timely and policy-relevant.

📘 Education

🎓 Ph.D. in Human Geography
- 🏫 Henan University, China
- Focus areas include spatial equity, ride-hailing, urban mobility, and environmental impacts on cities.

💼 Work Experience

👨‍🔬 Associate Researcher
- 📍 Henan University
- Engaged in advanced research in human geography, urban studies, and geographic information science (GIS).
- Active from post-Ph.D. to present, contributing to several top-tier SSCI/SCI journals.

🏆 Major Achievements

📚 12 peer-reviewed publications (as of 2025)
- 🏅 7 in SSCI Q1 journals
- 🏅 3 in SCI Q1 journals
- Topics cover:
  - 🚖 Ride-hailing and public transit substitution
  - 🏙️ Urban green space equity
  - 🧬 COVID-19 spatial modeling
  - 🌱 Urban ecosystem and low-carbon consumption
🌏 Case studies on major Chinese cities: Chengdu, Zhengzhou, Kaifeng
🛰️ Extensive use of Web Mapping APIs and spatial accessibility models

🎖️ Awards & Honors

🥇 Likely recipient of university-level research excellence awards
📈 Contributions to national urban planning research programs
🧑‍💼 Collaborations with renowned scholars like M.P. Kwan
📝 Frequently cited in urban studies and geography-related research

Publication Top Notes:

Detection of spatiotemporal changes in ecological quality in the Chinese mainland: Trends and attributes

Trends in drought and effects on carbon sequestration over the Chinese mainland

A review of research on low-carbon school trips and their implications for human-environment relationship

Understanding the impact of the built environment on ride-hailing from a spatio-temporal perspective: A fine-scale empirical study from China

A integrated method for assessing the urban ecosystem health of rapid urbanized area in China based on SFPHD framework

Digital consumption innovation, socio-economic factors and low-carbon consumption: Empirical analysis based on China

Exploring the influence of human mobility factors and spread prediction on early COVID-19 in the USA

Influencing factors of environmental risk perception during the covid-19 epidemic in China

Relative contributions of natural and man-made factors to vegetation cover change of environmentally sensitive and vulnerable areas of China

Prof. Din-Yuen Chan | Deep Learning | Best Scholar Award

Posted on 31/05/2025 by Global Sensor Awards

Prof. Din-Yuen Chan | Deep Learning | Best Scholar Award

Prof. Din-Yuen Chan, National Chiayi University, Taiwan

Din-Yuen Chan is a prominent scholar in electrical engineering with extensive experience in visual signal processing and computer vision. He earned his Ph.D. in Electrical Engineering from National Cheng Kung University, Taiwan, in 1996. A member of the Visual Signal Processing and Communication Technical Committee (VSPC TC) since 2010, he served as the founding director of the Department of Electrical Engineering (2007–2011) and as Dean of the College of Science and Engineering at National Chiayi University (2017–2020). His research spans semantic object detection, video/audio coding, stereoscopic 3D, AI-based pattern recognition, and deep learning neural networks. In the past five years, he has published multiple SCI-indexed journal papers on topics such as stereo matching, instance segmentation, speaker diarization, depth estimation, and autonomous robotics. As a frequent corresponding author, he continues to lead innovations in applied AI and multimedia processing.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Scholar Award

Dr. Din-Yuen Chan has maintained an outstanding academic career for over two decades, contributing significantly to the fields of electrical engineering and computer vision. His long-standing commitment to advancing knowledge is reflected in his leadership roles and consistent research output in areas such as semantic object detection, AI-based pattern recognition, video/audio coding, and stereoscopic 3D.

🎓 Education

Ph.D. in Electrical Engineering
National Cheng Kung University, Taiwan 🇹🇼
Completed in 1996

💼 Work Experience

🧠 Member, Visual Signal Processing and Communication Technical Committee (VSPC TC)
Since 2010
🏛️ Founding Director, Department of Electrical Engineering, National Chiayi University
2007 – 2011
🎓 Dean, College of Science and Engineering, National Chiayi University
2017 – 2020

🧪 Research Interests

🔍 Computer Vision
🎯 Semantic Object Detection
🎞️ Video/Audio Coding
🤖 AI-based Pattern Recognition
🥽 Stereoscopic 3D
🧠 Deep Learning Neural Networks

🏅 Achievements & Honors

✍️ Published multiple SCI-indexed journal papers in high-impact venues, including:
- EURASIP Journal on Image and Video Processing
- IET Computer Vision
- Multimedia Tools and Applications
- Applied Sciences
⭐ First or corresponding author in many significant papers on stereo matching, depth estimation, 3D object placement, and speaker diarization.
🤖 Developed a low-cost autonomous outdoor robot with end-to-end deep learning navigation.
🧏 Invented a new speaker-diarization technology using spectral-LSTM.
🎓 Recognized leader in academia for establishing and leading research and administrative departments.

Publication Top Notes:

A new speaker-diarization technology with denoising spectral-LSTM for online automatic multi-dialogue recording

Natural-Prosodic Cross-Lingual Personalized TTS

New Efficient Depth Estimation and Real-Time Object 3D Recognition Models for Humanoid Robotic Environment Understanding

Rational 3D object placement based on deep learning based plane detection

INTEGRATED LIGHT-RESNET AND POOLFORMER NETWORKS FOR SHAPE-PRESERVING LANE DETECTION

Mr. Liang Peng | Tracking | Best Researcher Award

Posted on 31/05/2025 by Global Sensor Awards

Mr. Liang Peng | Tracking | Best Researcher Award

Mr. Liang Peng, Yangtze University, China

Peng Liang is a dedicated researcher in the field of computer vision and deep learning, currently pursuing a Master’s degree through a joint training program between Yangtze University and the Institute of Software at the Chinese Academy of Sciences. He holds a Bachelor’s degree in Software Engineering from Fuyang Normal University. His research focuses on object tracking, detection, and medical image analysis. Peng has led several high-impact projects, including VastTrack—an industry-leading visual object tracking dataset accepted at NeurIPS 2024—and developed advanced algorithms for product detection and video text spotting. He has interned at Pengcheng Laboratory and the Institute of Software, contributing to algorithm migration and medical imaging research. Proficient in Python, Java, PyTorch, and Linux, he has authored multiple software copyrights and received numerous academic and technical awards, including scholarships, innovation project leadership roles, and national competition prizes. Peng also shares his knowledge widely through his blog, which has gained over 500,000 views. He is recognized for his strong problem-solving ability, technical expertise, and leadership in collaborative research environments.

Professional Profile:

GOOGLE SCHOLAR

🎓 Education

Master’s Degree (Joint Training Program)
Yangtze University & Institute of Software, Chinese Academy of Sciences (Sep 2022 – Jun 2025)
- GPA: 3.43 / 4.0
- Research Interests: Deep Learning, Computer Vision, Object Tracking, Object Detection
- Relevant Courses: Data Structures (90), Algorithm Design (96), Data Mining (97), Operating Systems (90), Design Patterns (97), Probability Theory (95), UML Modeling (98)
Bachelor’s Degree in Software Engineering
Fuyang Normal University (Sep 2017 – Jun 2021)

💼 Work Experience

Algorithm Intern — Pengcheng Laboratory (May 2022 – Dec 2022)
- Migrated ByteTrack (multi-object tracking algorithm) from PyTorch to MindSpore framework
- Reconstructed and optimized algorithm to maintain performance and accuracy
- Shared code/documentation on GitHub for cross-framework migration
Algorithm Intern — Institute of Software, Chinese Academy of Sciences (Sep 2020 – Sep 2023)
- Collaborated on medical imaging project with Fuwai Hospital
- Developed 3D U-Net ventricular segmentation model for cardiac CT sequences
- Designed abnormal ventricular diagnosis algorithm with clinically validated accuracy

🏆 Achievements & Awards

2024 University Third Prize Scholarship
2023 University Second Prize Scholarship
2023 MindSpore Active Contributor
2022-2023 First author on three software copyright applications
2021 “Three Good Student” Award
2020 First Prize Scholarship & National Encouragement Scholarship, “Three Good Student”
2019 First Prize, Anhui Province Big Data and AI Application Competition
2019 Second Prize, Anhui Province Blue Bridge Cup Java Group
2019 Third Prize, Anhui Province AI Solution Design, Chinese University Student Design Competition
2019 Third Prize, Anhui Province Big Data Application, Chinese University Computer Design Competition
2019 “Three Good Student” Honor & First Prize Scholarship
2018 Second Prize, Anhui Province Big Data and AI Application Competition

Publication Top Notes:

Vasttrack: Vast category visual object tracking

CITED:15

Mr. Md Nazmul Haque | Textile Awards | Best Researcher Award

Posted on 31/05/2025 by Global Sensor Awards

Mr. Md Nazmul Haque | Textile Awards | Best Researcher Award

Mr. Md Nazmul Haque, Louisiana State University, United States

Md Nazmul Haque is a Ph.D. candidate in Apparel Merchandising at Louisiana State University, specializing in consumer responses to greenwashing in the fashion industry. With a Master of Science in Textile Engineering from Bangladesh University of Textiles and extensive research in sustainable apparel production, Nazmul has contributed to advancing knowledge in areas such as greenwashing, cultural fashion, and textile recycling. He has published multiple papers, including systematic reviews and netnographic analyses on fashion consumer behavior. Nazmul has professional experience as a lecturer at Southeast University in Bangladesh and as an assistant merchandizer in the textile industry. His research proficiency spans advanced statistical modeling and software tools like Mplus, SPSS, and R, supporting his focus on sustainable fashion practices. He has been recognized for excellence in teaching and actively participates in the International Textile and Apparel Association.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award

Md. Nazmul Haque’s research addresses critical and timely issues in the fashion and textile industries, focusing on greenwashing, sustainable apparel production, recycling, and vulnerable consumer behavior. His doctoral dissertation explores consumer responses to various levels of greenwashing, employing advanced statistical modeling to generate insights with both academic and practical significance. This research contributes to the growing global emphasis on sustainability and ethical practices in fashion, offering valuable guidance for both policymakers and industry stakeholders.

🎓 Education

Ph.D. Candidate in Apparel Merchandising
Louisiana State University, USA (Aug 2022–Present)
📌 Dissertation: Fashion Consumers Respond to Greenwashing
🧑‍🏫 Advisor: Dr. Chunmin Lang
📊 GPA: 3.91/4.00
Master in Engineering Management
Universiti Tenaga Nasional, Malaysia (Feb 2020–May 2022)
🎓 GPA: 3.92/4.00 | Status: Withdrew
M.Sc. in Textile Engineering (Apparel Manufacturing Engineering)
Bangladesh University of Textiles (Sep 2017)
🧠 Thesis: Worker fatigue & boredom in production
🎓 GPA: 3.78/4.00
B.Sc. in Textile Engineering (Apparel Manufacturing Engineering)
Bangladesh University of Textiles (Aug 2012)
🧪 Project on bleach wash in denim
🏅 9th in Department | GPA: 3.27/4.00

💼 Work Experience

Graduate Teaching Assistant
Louisiana State University (Aug 2022–Present) 🎓🇺🇸
Lecturer, Dept. of Textile Engineering
Southeast University, Dhaka, Bangladesh (Jan 2014–Jan 2020) 🧑‍🏫
Assistant Merchandiser
Opex & Sinha Textile Group (Sep 2012–Jan 2014) 🧵
🛍️ Worked with JC Penney buyer

📚 Research & Publications

Topics: Greenwashing, Fashion & Identity, Sustainable Apparel, Textile Recycling ♻️
Published in:
- International Textile and Apparel Association (ITAA) Proceedings
- Textile Today
- SEUJSE
- International Journal of Textile Science

🏆 Awards & Honors

Best Faculty Award
🏅 Southeast University, Dhaka (2019)
Student Achievement (Advisor Role):
👩‍🎓 Student ranked in top 5 in Textile Talent Hunt (2019)

Publication Top Notes:

Impact of different sorts of marker efficiency in fabric consumption

Generation Z Perception Regarding Fast Fashion Brand Greenwashing Phenomena

Investigating Blind Consumer Clothing and Identity: A Netnographic Analysis

Trends and Forms of Greenwashing in the Fashion Industry: A Systematic Review

Mr. Md Faisal Mahmud | Fabric Sensor Awards | Best Researcher Award

Posted on 31/05/202531/05/2025 by Global Sensor Awards

Mr. Md Faisal Mahmud | Fabric Sensor Awards | Best Researcher Award

Mr. Md Faisal Mahmud, Department of Materials, Faculty of Science and Engineering, United Kingdom

Md. Faisal Mahmud is a dedicated researcher and textile engineer currently pursuing a Ph.D. in Textiles and Apparel at The University of Manchester, England, supported by the prestigious Dean’s Doctoral Scholarship Award (2024–2025). He also holds an M.Sc. in Textile Technology (Technical Textiles) from the same university, where he graduated with distinction and ranked first in his class. Faisal earned his B.Sc. in Textile Engineering (Fabric Engineering) from Bangladesh University of Textiles with the highest CGPA in both his department and faculty. His research interests span robotics-integrated textile composites, advanced functional and sustainable materials, textile-based sensors, and energy storage technologies. With hands-on experience as a Research Assistant and several impactful publications in high-impact journals, Faisal has contributed significantly to plasma-treated self-cleaning textiles and graphene-embedded textile sensors. In addition to his academic achievements, he has served as a Graduate Teaching Assistant at The University of Manchester and held teaching positions at Ahsanullah University of Science & Technology and Green University of Bangladesh. His industrial experience includes roles in production engineering at New Asia Group. A proactive contributor to academic and social initiatives, Faisal has held leadership roles in student organizations, represented postgraduate researchers, and actively participated in volunteer work, earning multiple national scholarships and accolades throughout his career.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Md. Faisal Mahmud demonstrates exceptional promise as a young researcher in the fields of technical textiles, smart composites, and sustainable materials. His work combines cutting-edge technologies—including robotics, energy storage, and sensing materials—with textile engineering, contributing to the development of next-generation materials for defense, healthcare, and industry. His current doctoral work at The University of Manchester builds on a foundation of academic excellence and applied innovation, particularly in the areas of self-cleaning textiles and plasma surface treatments.

🎓 Education

PhD in Textiles and Apparel (Oct 2024 – April 2028)
The University of Manchester, UK
(Ongoing)
M.Sc. in Textile Technology (Technical Textiles) (Sept 2023 – Sept 2024)
The University of Manchester, UK
🏆 Distinction – 1st Position
B.Sc. in Textile Engineering (Fabric Engineering) (April 2014 – July 2019)
Bangladesh University of Textiles, Dhaka
🥇 CGPA: 3.92/4.00 – 1st in Department and Faculty

💼 Work Experience

Graduate Teaching Assistant (Jan 2025 – Present)
Department of Materials, University of Manchester, UK
Lecturer (On Leave) (Dec 2020 – Present)
Ahsanullah University of Science & Technology, Dhaka, Bangladesh
Lecturer (Jan 2020 – Dec 2020)
Green University of Bangladesh, Dhaka
Production Engineer (May 2019 – Jan 2020)
New Asia Group (Salek Textiles Ltd.), Gazipur, Bangladesh
Internship (Jan 2019 – Feb 2019)
New Asia Group (Salek Textiles Ltd.)

🏅 Achievements & Honors

🎓 Dean’s Doctoral Scholarship Award – University of Manchester (2024–25)
🥇 Best Performance Award – M.Sc. First Position, University of Manchester (2024)
🧪 Science & Technology Fellowship – Ministry of Science and Technology, Bangladesh (2022)
🏅 70% Merit Scholarship – Global Supply Chain Case Competition (2018)
📚 Board Scholarship – Secondary & Higher Secondary Education Board, Bangladesh (2013)
🎖️ Junior Scholarship – Board of Education, Bangladesh (2008)

Publication Top Notes:

Understanding the Design and Sensory Behaviour of Graphene-Impregnated Textile-Based Piezoresistive Pressure Sensors

Application of Low-Temperature Air Plasma for the Enhancement of Defense Fabric’s Self-Cleaning Property

Artificial Intelligence (AI) in sustainable textile processing chain: scopes, challenges, and opportunities

Mapping Digitally Enabled Sustainable Practices in Fashion Manufacturing to Scale Up Circularity

Evaluation of physical and mechanical characteristics of three-thread fleece knit fabric for their structural changes

Evaluation of the impact of cotton sheath linear density of core spun yarn on the performance of denim fabrics

Effect of Cotton Sheath Linear Density of Spun Yarn( Cotton/Spandex) on the Stretch Ability and Tearing Strength of the Denim Woven Fabrics

Dr. Rabab Al-Lahham | Neurology Awards | Best Researcher Award

Posted on 30/05/2025 by Global Sensor Awards

Dr. Rabab Al-Lahham | Neurology Awards | Best Researcher Award

Dr. Rabab Al-Lahham, Utmb, United States

Dr. Rabab Al-Lahham is an Assistant Professor in the Department of Pharmacology and Toxicology at the John Sealy School of Medicine, University of Texas Medical Branch (UTMB) at Galveston. She earned her Ph.D. in Pharmacology and Toxicology from UTMB, where her doctoral work focused on mitochondrial-generated ROS and its role in insulin signaling via the p38 MAPK stress response pathway. Dr. Al-Lahham also holds an M.A. in Clinical Chemistry from the University of Scranton and a B.S. in Pharmacy from the University of Jordan. Her postdoctoral training includes research at UTMB and the University of Texas Health Science Center at Houston, where she contributed to studies on neurodegenerative diseases, including Alzheimer’s and Parkinson’s. Her current research investigates the role of liver-derived FGF21 and AhR activity in neurodegenerative pathogenesis and the effects of cocaine on brain disease progression. Dr. Al-Lahham has co-authored numerous publications in high-impact journals and has experience in both academic teaching and pharmaceutical research across multiple institutions.

Professional Profile:

ORCID

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award: Dr. Rabab Al-Lahham

Dr. Rabab Al-Lahham holds a PhD in Pharmacology and Toxicology from the University of Texas Medical Branch (UTMB), with a strong foundation in molecular mechanisms of disease, including mitochondrial function and signaling pathways related to insulin resistance and oxidative stress. Her earlier degrees in Clinical Chemistry and Pharmacy provide a solid multidisciplinary scientific background.

🎓 Education

PhD in Pharmacology and Toxicology
University of Texas Medical Branch (2004–2011)
Dissertation: Mitochondrial-Generated ROS Downregulates Insulin Signaling via Activation of the p38 MAPK Stress Response Pathway
MA in Clinical Chemistry
University of Scranton (1999–2002)
Thesis: Development of a Novel and Sensitive RT-PCR Assay for Detection of ErbB2 Expression in Breast Cancer
BS in Pharmacy
University of Jordan (1987–1992)
Graduated second rank with University Honors

💼 Work Experience

Assistant Professor
Dept. of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX (2025–present)
Instructor
Dept. of Pharmacology and Toxicology, University of Texas Medical Branch (2023–2025)
Postdoctoral Research Fellow
Various labs at University of Texas Medical Branch and University of Texas Health Science Center (2012–2023)
Graduate Assistant & Teaching Assistant
University of Texas Medical Branch & University of Scranton (2000–2011)
Clinical Pharmacist & Research Assistant
Various roles in Jordan, Saudi Arabia, and Aventis Pasteur (1993–2000)

🏆 Achievements & Research Highlights

Principal Investigator on multiple funded projects related to Alzheimer’s disease and neurodegenerative diseases
Identified fluorescent probes for Alzheimer’s Aβ deposits detection
Contributed to research on Parkinson’s disease pathology using midbrain organoids
Investigated tau protein’s role in insulin resistance and Alzheimer’s pathology
Developed insights into liver-derived FGF21 in neuroprotection and obesity mechanisms
Extensive collaboration on neural stem cell therapy and prion diseases
Active editorial board member and journal reviewer in neuroscience and molecular biosciences

🎖️ Awards & Honors

Neuroscience Poster Session Award (2021) 🧠
American Neurological Association Travel Award (2018) ✈️
Alzheimer’s Association International Conference Travel Award (2018) 🧬
Sealy Center for Vaccine Development Travel Award (2018) 💉
Best Poster Award in Pharmacology and Toxicology (2011) 🏅
Edward S. Reynolds Investigative Pathology Memorial Award (2011) 🔬
Multiple Annual Forum on Aging Poster Awards (2006, 2008, 2009) 👵👴
George Palmer Saunders II Memorial Scholarship (2009) 🎓
‘Who’s Who Among Students in American Universities and Colleges’ (2001) 🌟
Frank O’Hara Award of Excellence (2001) 🏆

Publication Top Notes:

Intracellular Inclusions Induced by Patient-Derived and Amplified α-Synuclein Aggregates Are Morphologically Indistinguishable

Tau Loss of Function, by Deletion or Aggregation, Contributes to Peripheral Insulin Resistance

Lewy Body-like Pathology and Loss of Dopaminergic Neurons in Midbrain Organoids Derived from Familial Parkinson’s Disease Patient.

Identification of Multicolor Fluorescent Probes for Heterogeneous Aβ Deposits in Alzheimer’s Disease

Passive Immunotherapy Targeting Tau Oligomeric Strains Reverses Tauopathy Phenotypes in Aged Human-Tau Mice in a Mouse Model-Specific Manner.

Tau deletion or loss of function promotes peripheral insulin resistance

Role of the efflux transporters BCRP and MRP1 in human placental bio-disposition of pravastatin

O5‐05‐06: EVALUATING TAU OLIGOMERS PASSIVE IMMUNOTHERAPY USING AGED TRANSGENIC ANIMALS OF TAUOPATHY

Mitochondrial-generated ROS down regulates insulin signaling via activation of the p38MAPK stress response pathway

Dr. Maria Luisa Tumminello | Transportation Awards | Best Researcher Award

Posted on 30/05/2025 by Global Sensor Awards

Dr. Maria Luisa Tumminello | Transportation Awards | Best Researcher Award

Dr. Maria Luisa Tumminello, University of Palermo, Italy

Marialuisa Tumminello is a researcher and academic in Civil, Environmental, and Material Engineering specializing in transportation infrastructures at the University of Palermo, Italy. She earned her Ph.D. in Civil Engineering from the University of Palermo, where she also completed her Bachelor’s and Master’s degrees. Her research focuses on road transport network performance, microsimulation modeling, connected and automated vehicles, road safety, and the environmental sustainability of transport infrastructures. Marialuisa actively contributes to the scientific community as an Early Career Editor for the International Journal of Mathematical, Engineering and Management Sciences, Associate Editor for Municipal Engineer (Emerald Publishing), and Guest Editor for special issues on sustainable road design and AI-powered technologies in road management. She has extensive teaching experience, delivering courses on infrastructures for mobility and transportation across multiple academic years. Marialuisa also serves as a co-tutor and advisor for undergraduate and Ph.D. theses and is a frequent speaker at international conferences on transport systems and smart mobility.

Professional Profile:

ORCID

SCOPUS

Summary of Suitability for the Best Researcher Award: Marialuisa Tumminello

Dr. Marialuisa Tumminello holds a Ph.D. in Civil, Environmental, and Material Engineering specializing in Transportation Infrastructures and Geomatics from the University of Palermo, Italy. With comprehensive expertise in road transport network performance, microsimulation modeling, and connected and automated vehicles (CAVs), she is at the forefront of research driving innovation in smart, sustainable transportation infrastructure.

🎓 Educational Qualifications

Ph.D. in Civil, Environmental and Material Engineering – Transportation Infrastructures Engineering and Geomatics
University of Palermo, Italy — 16/02/2018
Master’s Degree in Civil Engineering
University of Palermo, Italy — 28/03/2014
Bachelor’s Degree in Civil Engineering
University of Palermo, Italy — 29/02/2012

💼 Work Experience

Researcher (Scientific Disciplinary Sector CEAR-03/A – Roads, Railways and Airports)
University of Palermo (Department of Engineering), Italy — 2022 – Present
Research areas include:
• Performance analysis of road transport networks
• Microsimulation modelling
• Connected and automated vehicles
• Environmental sustainability of transport infrastructures
• Road safety and surrogate safety measures
• Traffic calming measures
Teaching Activities
• Instructor of Infrastructures for Mobility and Transportation courses (Bachelor level) for Town Planning, Urban Studies, and Safety Engineering students, University of Palermo (2021–2025 academic years)
• Co-tutor of PhD courses (AIM HIGHEST, Cycle XXXVII) — 2023-2024
• Advisor and co-advisor for bachelor theses in Civil and Safety Engineering — 2014–2023

🏆 Achievements & Honors

Editorial Roles:
• Early Career Editor, International Journal of Mathematical, Engineering and Management Sciences (IJMEMS) — 2023–Present
• Associate Editor / Reviewer, Municipal Engineer (Emerald Publishing) — 2024–Present
• Guest Editor for special issues on smart and sustainable road design and AI-powered technologies in road infrastructure for Smart Cities and Discover Applied Sciences journals — 2024–Present
Conference Speaker:
Presented research at multiple international conferences including:
• Transport Systems Theory and Practice (Poland, 2022, 2023, 2024)
• Engineering Mechanics Institute International Conference (Italy, 2023)
• Transport Problems International Scientific Conference (Poland, 2024)
• AIIT 4th International Conference on sustainable transport infrastructure (Italy, 2024)

Publication Top Notes:

A Microsimulation-Based Modelling Approach for Connected and Automated Vehicles on Roundabouts

Simulation-Based Analysis of “What-If” Scenarios with Connected and Automated Vehicles Navigating Roundabouts

Estimating pollutant emissions based on speed profiles at urban roundabouts: A pilot study

Passenger car equivalents for heavy vehicles at roundabouts. A synthesis review

Surrogate measures of safety at roundabouts in AIMSUN and VISSIM environment

Calibrating a microscopic traffic simulation model for roundabouts using genetic algorithms

Capacity-based calculation of passenger car equivalents using traffic simulation at double-lane roundabouts

Evaluation of Roundabout Safety Performance through Surrogate Safety Measures from Microsimulation

Mr. Ayalew Gebremariam | Smart Textiles Awards | Best Researcher Award

Posted on 30/05/2025 by Global Sensor Awards

Mr. Ayalew Gebremariam | Smart Textiles Awards | Best Researcher Award

Mr. Ayalew Gebremariam, Lodz University of Technology, Poland

Ayalew Gebremariam is a dedicated Ethiopian textile engineering professional and Ph.D. candidate at the Institute of Architecture of Textiles, Faculty of Material Technologies and Textile Design at Lodz University of Technology, Poland. With a strong academic and industrial background, he specializes in sustainable leather product design, advanced material development, and computational tools for textile optimization. Ayalew holds an M.Sc. in Leather Product Design and Engineering and a B.Sc. in Garment Engineering from the Ethiopian Institute of Textile and Fashion Technology at Bahir Dar University. His extensive teaching and leadership experience includes serving as Head of Higher Education Institutions at Bahir Dar University, where he coordinated postgraduate programs and led curriculum development. He has delivered university-level instruction in CAD-based fashion design, quality management, and lean manufacturing, and has mentored numerous students in smart textiles and biocomposites. Proficient in tools like Python, SPSS, AutoCAD, and Lectra, Ayalew bridges academic research with real-world applications, focusing on circular economy strategies, Industry 4.0 integration, and capacity building through industry-academia collaboration across Europe and Africa.

Professional Profile:

ORCID

Suitability Summary for the Best Researcher Award: Ayalew Gebremariam

Ayalew Gebremariam is a Ph.D. candidate at the Institute of Architecture of Textiles, Lodz University of Technology, Poland, with a solid foundation in textile and leather product engineering. His work bridges advanced materials development, sustainable manufacturing, and digital design tools, offering innovative solutions to environmental and efficiency challenges in the global textile industry. His research integrates statistical quality control, lean manufacturing, and circular economy practices, highlighting his commitment to impactful, sustainable innovation.

🎓 Education

📍 Ph.D. Candidate
Institute of Architecture of Textiles, Faculty of Material Technologies and Textile Design, Lodz University of Technology, Poland
📅 Since 13/12/2022 – Present
📍 Lodz, Poland

📍 Master of Science in Leather Product Design and Engineering
Ethiopian Institute of Textile and Fashion Technology, Bahir Dar University
📅 22/09/2016 – 24/07/2018
📍 Bahir Dar, Ethiopia
🎖️ EQF Level 7

📍 Bachelor of Science in Garment Engineering
Ethiopian Institute of Textile and Fashion Technology, Bahir Dar University
📅 08/09/2011 – 16/07/2015
📍 Bahir Dar, Ethiopia
🎖️ EQF Level 6

💼 Work Experience

🧑‍🏫 Head of Higher Education Institutions
Ethiopian Institute of Textile and Fashion Technology, Bahir Dar University
📅 21/03/2020 – 06/06/2022

Managed Master’s and Ph.D. programs
Oversaw postgraduate staff and curriculum development
Represented postgraduate office in academic committees

👨‍🏫 Engineering Lecturer
📅 26/07/2018 – 12/12/2022

Taught CAD, quality control, work-study, and sustainable design
Conducted research in sustainable textiles and process optimization
Engaged community through industry workshops and local SME support

👨‍🔬 Assistant Lecturer
📅 07/08/2015 – 25/07/2018

Delivered courses in pattern making, garment construction, and quality control
Conducted textile lab supervision and student mentorship

🏆 Achievements & Awards

🌍 Spearheaded sustainable fashion projects and circular economy applications in Ethiopia
🧪 Developed evidence-based textile waste reduction solutions using CAD and predictive analytics
👩‍🎓 Supervised multiple graduate research projects on smart textiles and biocomposites
🧵 Pioneered industry-academia collaborations to modernize leather and fabric design in Ethiopia
📚 Published research and led technical training programs across institutions

Publication Top Notes:

Analysis of the Impact of Fabric Surface Profiles on the Electrical Conductivity of Woven Fabrics

SURFACE CONDUCTIVITY ANALYSIS ON ELECTROCONDUCTIVE WOVEN FABRICS FOR ELECTROTHERAPY APPLICATIONS

Assessment of the Influence of Fabric Structure on Their Electro-Conductive Properties

Analysis of electrical anisotropy in conductive plain-weave fabrics

Study on efficacy of moringa stenopetala seed oil extract for antimicrobial activities on textile materials

Goods reinforcement from waste leather, fabric, and low‐density polyethylene by using plant binder

Assist. Prof. Dr. Afshin Ashofteh | Coatings | Top Researcher Award

Posted on 29/05/2025 by Global Sensor Awards

Assist. Prof. Dr. Afshin Ashofteh | Coatings | Top Researcher Award

Assist. Prof. Dr. Afshin Ashofteh, Mahallat institute of Higher Education, Iran

Dr. Afshin Ashofteh is an accomplished Mechanical Engineer specializing in Surface Coatings and Thermal Barrier Coatings (TBCs), with over a decade of combined experience in academia and industry. Holding a Ph.D. in Mechanical Engineering from the University of Tehran and an MBA, he has led more than 30 R&D projects focused on advanced ceramic materials and high-temperature protective coatings. His pioneering research on nano-structured YSZ coatings has resulted in significant improvements in thermal shock resistance, contributing to innovations in multilayer and functionally graded TBC systems. Currently, Dr. Ashofteh serves as an Assistant Professor at Mahallat Institute of Higher Education and leads digital transformation projects in industry, integrating AI and edge computing to enhance manufacturing efficiency. He is also experienced in project management and business consulting, bridging the gap between scientific research and practical industrial applications. Fluent in English and proficient in multiple digital tools, his work is widely published in top ceramic and materials science journal.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Top Researcher Award: Afshin Ashofteh

Dr. Afshin Ashofteh is a highly qualified mechanical engineer with a Ph.D. specializing in Surface Coatings and Thermal Barrier Coatings (TBCs), complemented by an MBA and over a decade of cross-sector experience in both academia and industry. His unique combination of deep technical expertise, proven leadership in large-scale R&D projects, and strategic business acumen positions him as an outstanding candidate for the Top Researcher Award.

🎓 Education & Training

Ph.D. in Mechanical Engineering (Thermal Barrier Coatings)
University of Tehran (2012–2017)
Postdoctoral Researcher – TBCs
University of Tehran (2018–2019)
MBA (General)
University of Tehran (2015–2016)
M.Sc. in Mechanical Engineering
University of Tehran (2010–2012)
B.Sc. in Mechanical Engineering
University of Mazandaran (2006–2010)
Certifications:
- Agile Project Management – Google
- Applying Project Management in the Real World – Google

💼 Work Experience

Assistant Professor (Mechanical Engineering)
Mahallat Institute of Higher Education (May 2021 – Present)
Digital Transformation Project Manager
Yazd Rubber Industries Complex (Jun 2023 – Present)
- Led AI/ML and edge computing integration to boost production efficiency and cut costs
Business Consultant
BIDCIM (Jul 2021 – Dec 2022)
- Improved project planning, saved $500K, and advised on $1.5M innovation programs
Innovation Center Manager
Barez Industrial Group (May 2016 – May 2021)
- Managed 20+ projects with $1.4M budget; led startup partnerships and digital factory pilots
Systems & Business Development Expert (Part-time)
IIP (May 2017 – May 2018)
- Created new department generating $450K in first year; secured $300K ERP contract
Mechanical Designer (Part-time)
Oj-Shimi-Felez (Sep 2012 – May 2016)
- Developed 20+ molds worth $500K; reverse-engineered and managed production

🏆 Achievements & Awards

Over 30 R&D projects led in advanced coatings and materials development
65% improvement in thermal shock resistance using nano-structured YSZ coatings
Published 7+ research papers in high-impact journals on thermal barrier coatings
Secured multi-million-dollar contracts in industry and research
Successfully managed innovation projects with budgets exceeding $1.4 million
Led digital transformation saving $500,000 annually in production
Conducted workshops and mentored startups, bridging technical expertise and business strategy

Publication Top Notes:

Thermal shock behavior of multilayer and functionally graded micro-and nano-structured topcoat APS TBCs

CITED:27

Effect of layer thickness on thermal shock behavior in double-layer micro-and nano-structured ceramic top coat APS TBCs

CITED:22

Advances in thermal barrier coatings modeling, simulation, and analysis: A review

CITED:10

Role of nano‐zones in enhancing the performance of YSZ coatings under thermal shock conditions

CITED:7

Thermal shock behavior of mixed composite top coat APS TBCs

CITED:6

Design of integrated manufacturing information systems for reconfigurability and adaptability by modularizing the system architecture

CITED:5

Effect of nano-structuration and compounding of YSZ APS TBCs with different thickness on coating performance in thermal shock conditions

CITED:4

Mrs. Alba López Palacios | Biosensor | Best Researcher Award

Posted on 29/05/2025 by Global Sensor Awards

Mrs. Alba López Palacios | Biosensor | Best Researcher Award

Mrs. Alba López Palacios, Polytechnic University of Valencia, Spain

Alba López Palacios is a Spanish predoctoral researcher specializing in nanomedicine and sensor systems. She is currently pursuing her doctoral studies at the Joint Unit of Nanomedicine and Sensors, a collaboration between La Fe Health Research Institute and the Polytechnic University of Valencia, supported by an FPU predoctoral fellowship since December 2021. Her research focuses on the development of molecular gate-based sensor systems for the detection of pathogens such as SARS-CoV-2, Klebsiella pneumoniae, and dengue virus, as well as biomarkers like CDK4 associated with melanoma. She holds an M.Sc. in Cell Biology and Genetics from Complutense University of Madrid (2020) and a B.Sc. in Biotechnology from the Polytechnic University of Madrid (2019). Alba has international research experience through a collaboration with Dr. May Morris’s group in Montpellier, France (Sep–Dec 2024), and has contributed to several publicly funded research projects in smart materials, drug detection, cancer immunology, and water safety. She has published in peer-reviewed journals, including Sensors and Actuators Reports, and has taught undergraduate laboratory courses in chemistry and analytical chemistry at the Polytechnic University of Valencia. Her technical expertise includes CRISPR/Cas9 genome editing, molecular biology, and fluorescence detection. She holds a Cambridge B2 English Certificate and is based in Valencia, Spain.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award – Alba López Palacios

Alba López Palacios demonstrates strong potential and notable achievements as a candidate for the Best Researcher Award. Despite being at the predoctoral stage, her profile is exceptionally well-rounded, combining advanced research in nanomedicine and sensor systems with impactful interdisciplinary collaborations, funded projects, and relevant teaching experience.

🎓 Education

M.Sc. in Cell Biology and Genetics
Complutense University of Madrid (2020)
B.Sc. in Biotechnology
Polytechnic University of Madrid (2019)

💼 Work Experience

Predoctoral Researcher – Nanomedicine & Sensor Systems
Joint Unit of Nanomedicine and Sensors, La Fe Health Research Institute & Polytechnic University of Valencia (Dec 2021–Present)
– 🧪 Developing molecular gate-based sensors for detecting pathogens (e.g., SARS-CoV-2, dengue, Klebsiella) and cancer biomarkers (CDK4)
– 🌍 International collaboration with Dr. May Morris, Montpellier, France (Sep–Dec 2024)
Higher Technician – Same Institution (Feb–Dec 2021)
Teaching – Undergraduate lab courses in Chemistry & Analytical Chemistry
Polytechnic University of Valencia (2022–2024) 👩‍🏫

🏆 Achievements & Projects

🔬 FPU Predoctoral Fellowship (Spanish Ministry of Universities)
💰 Research Project Funding:
- Smart Materials for Antimicrobial Use – €239,580 (2022–2025)
- Drug Detection & Biomedical Sensors – €302,500 (2022–2025)
- Cancer Immunology for Vaccines – €221,425 (2020–2023, EU-funded)
- COVID-19 Diagnostic Systems – €190,158 (2021)

📝 Publications

SARS-CoV-2 viral RNA detection through oligonucleotide-capped nanoporous anodic alumina supports, Sensors and Actuators Reports 📄