Yingchun Niu l Data Processing | Research Excellence Award

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Mr. Yingchun Niu l Data Processing | Research Excellence Award

Hebei University | China

Mr. Yingchun Niu is a researcher in intelligent information processing with a doctoral background in Control Science and Engineering and strong expertise in artificial intelligence and computer vision. He holds a Ph.D., M.S., and B.S. in engineering and computing-related disciplines and has professional experience as a researcher and faculty member in cyberspace security and computer science. His research interests include point cloud semantic segmentation, uncertainty-aware learning, big data analytics, and visual understanding. His research skills cover deep learning, weakly supervised learning, 3D vision, model uncertainty estimation, and SCI journal publishing, with scholarly recognition demonstrated through high-impact international publications contributing to trustworthy and efficient intelligent perception systems.

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Featured Publications

Weakly Supervised Point Cloud Semantic Segmentation with the Fusion of Heterogeneous Network Features

– Image and Vision Computing, 2024
Beyond Accuracy: More Trustworthy Weakly Supervised Point Cloud Semantic Segmentation with Primary–Auxiliary Structure

– Computers & Electrical Engineering, 2024
Weakly Supervised Point Cloud Semantic Segmentation Based on Scene Consistency

– Applied Intelligence, 2024
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-Aware Semantic Segmentation in Point Clouds

– IEEE Transactions on Geoscience and Remote Sensing, 2023
Beyond-Skeleton: Zero-Shot Skeleton Action Recognition Enhanced by Supplementary RGB Visual Information

– Expert Systems with Applications, 2025

Paul Yohanna l Civil Engineering | Research Excellence Award

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Dr. Paul Yohanna l Civil Engineering | Research Excellence Award

Kampala International University | Uganda

Dr. Paul Yohanna is a civil engineering academic and consultant with strong expertise in geotechnical engineering, construction materials, structural mechanics, and infrastructure sustainability. He holds a Ph.D., M.Sc., and B.Eng. in Civil Engineering and has extensive university-level teaching experience in strength of materials, fluid dynamics, hydrology, and engineering materials. His professional experience spans lecturing, consulting for development projects, and applied research in construction and geotechnics. His research interests include sustainable construction materials, geotechnical characterization, infrastructure resilience, and engineering education, supported by skills in laboratory testing, data analysis, field investigations, and scholarly publishing, with conference participation reflecting continuous professional development and academic leadership.

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Featured Publications

Michele Matera l Vector Control | Research Excellence Award

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Mr. Michele Matera l Vector Control | Research Excellence Award

Liverpool School of Tropical Medicine | Germany

Michele Matera is a PhD student at the Liverpool School of Tropical Medicine, specializing in innovative control of urban malaria vectors. Michele Matera earned his Bachelor’s in Agro-Industrial Biotechnology and Master’s in Biotechnology and Genomics for the Industry and the Environment from Sapienza University of Rome, including an Erasmus+ Traineeship at the Institute for Molecular Biology and Biotechnology in Crete, Greece. Michele Matera has extensive experience in vector control through his thesis projects and professional work. His research interests include vector biology, genomic approaches, and sustainable disease control. Michele Matera is skilled in molecular biology, genomics, and applied entomology and has been recognized for academic excellence and innovation.

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Featured Publications

Susceptibility of Anopheles stephensi SDA500 Strain to Common Insecticides and Efficacy of Glazed Tile Bioassay for Resistance Characterization


Current Research in Parasitology & Vector-Borne Diseases, 2026
| Michele Matera, Melanie Nolden, Sebastian Horstmann, Derric Nimmo, Mark J.I. Paine, David Weetman

 

Integrated De Novo Transcriptome of Culex pipiens Mosquito Larvae as a Resource for Genetic Control Strategies


Scientific Data, 2024
| Mastrantonio, V.; Libro, P.; Di Martino, J.; Matera, M.; Bellini, R.; Castrignanò, T.; Urbanelli, S.; Porretta, D.

 

Bushra Abro | Artificial Intelligence | Research Excellence Award

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Ms. Bushra Abro | Artificial Intelligence | Research Excellence Award

National Centre Of Robotics And Automation | Pakistan

Ms. Bushra Abro is a Computer and Information Engineer with a strong foundation in Electronic Engineering. She holds a Master’s degree in Computer and Information Engineering and a Bachelor’s in Electronic Engineering from Mehran University of Engineering & Technology, Pakistan, graduating top of her class. With professional experience as a Research Associate and Assistant at the National Centre of Robotics and Automation, she has contributed to projects in deep learning, computer vision, federated learning, and real-time condition monitoring. Her work has earned multiple publications and awards, including a gold medal at the All Pakistan IEEEP Student Seminar. She is passionate about advancing AI-driven technological innovation.

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Featured Publications


Towards Smarter Road Maintenance: YOLOv7-Seg for Real-Time Detection of Surface Defects

– Book Chapter, 2025Contributors: Bushra Abro; Sahil Jatoi; Muhammad Zakir Shaikh; Enrique Nava Baro; Bhawani Shankar Chowdhry; Mariofanna Milanova


Federated Learning-Based Road Defect Detection with Transformer Models for Real-Time Monitoring

– Computers, 2025Contributors: Bushra Abro; Sahil Jatoi; Muhammad Zakir Shaikh; Enrique Nava Baro; Mariofanna Milanova; Bhawani Shankar Chowdhry


Harnessing Machine Learning for Accurate Smog Level Prediction: A Study of Air Quality in India

– VAWKUM Transactions on Computer Sciences, 2025Contributors: Sahil Jatoi; Bushra Abro; Sanam Narejo; Yaqoob Ali Baloch; Kehkashan Asma


Learning Through Vision: Image Recognition in Early Education

– ICETECC Conference, 2025Contributors: Sahil Jatoi; Bushra Abro; Shafi Jiskani; Yaqoob Ali Baloch; Sanam Narejo; Kehkashan Asma


From Detection to Diagnosis: Elevating Track Fault Identification with Transfer Learning

– ICRAI Conference, 2024Contributors: Sahil Jatoi; Bushra Abro; Noorulain Mushtaq; Ali Akbar Shah Syed; Sanam Narejo; Mahaveer Rathi; Nida Maryam

Amirhossein Karamoozian | Civil Engineering | Best Researcher Award

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Dr. Amirhossein Karamoozian | Civil Engineering | Best Researcher Award

Shenzhen University | China

Dr. Amirhossein Karamoozian is a researcher and lecturer at the International College, University of Chinese Academy of Sciences (UCAS), with a Ph.D. in Management Science and Engineering (Project Management). His research focuses on risk assessment, project management, sustainable construction, and decision-making methodologies, with applications in construction, renewable energy, and transportation projects. He has authored numerous high-impact SCI journal articles and holds multiple patents on construction project risk assessment and material selection. Dr. Karamoozian has received several awards, including best paper recognitions at IEEE symposiums and the UCAS Excellent International Graduate Student Award, reflecting his significant contributions to engineering management research.

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Featured Publications


Assessing urban outdoor thermal discomfort across scales and climates: Implications for sustainable urban management in Iran

– Sustainable Cities and Society, 2026-01Contributors: Aminreza Karamoozian; Abouzar Gholamalizadeh; Saman Nadizadeh Shorabeh; Amirhossein Karamoozian; Mohammad Karimi Firozjaei

COVID-19 automotive supply chain risks: A manufacturer-supplier development approach

– Journal of Industrial Information Integration, 2024-03Contributors: Aminreza Karamoozian; Chin An Tan; Desheng Wu; Amirhossein Karamoozian; Saied Pirasteh

An Integrated Approach for Instability Analysis of Lattice Brake System Using Contact Pressure Sensitivity

– IEEE Access, 2020Contributors: Aminreza Karamoozian; Haobin Jiang; Chin An Tan; Liangmo Wang; Yuanlong Wang

Probability Based Survey of Braking System: A Pareto-Optimal Approach

– IEEE Access, 2020Contributors: Aminreza Karamoozian; Haobin Jiang; Chin An Tan

Carlos Martins | Engineering | Research Excellence Award

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Dr. Carlos Martins | Engineering | Research Excellence Award

 SerQ – Centro de Inovação e Competências da Floresta | Portugal

Dr. Carlos Eduardo de Jesus Martins is an Invited Assistant Professor at the University of Coimbra (Faculty of Sciences and Technology) and a Researcher at SerQ – Centro de Inovação e Competências da Floresta, with expertise in civil engineering and materials engineering focused on timber and wood-based products. He completed his Integrated Master in Civil Engineering in 2010 and earned a PhD in Civil Engineering (Structures) in 2019 at the University of Coimbra, with distinction. His academic and professional experience spans teaching in higher education, postdoctoral research, and leadership roles in national and international R&D projects, including serving as Principal Investigator. Dr. Martins’ research centers on timber structures, engineered wood products, timber–concrete composite systems, mechanical characterization of wood, non-destructive testing, numerical modelling, durability, life-cycle analysis, circular economy, and sustainable forest-based construction solutions. He has authored 31 peer-reviewed documents, accumulating 402 citations, with an h-index of 13, reflecting consistent scientific impact in the field. He has contributed to book sections, organized scientific events, supervised MSc dissertations, and collaborated extensively with multidisciplinary research teams. His work supports innovation in sustainable construction, structural performance, and the valorization of forest resources, contributing to resilient, low-carbon built environments.

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Featured Publications

Using non-destructive testing to predict the mechanical properties of glued laminated poplar

Structures and Buildings, 2018
Carlos Martins
Experimental evidence for effective flexural-only stiffnesses to account for nonlinear flexural-slip behaviour of timber-concrete composite sections

Construction and Building Materials, 2017
Sebastian, W.M.; Bell, O.G.A.; Martins, C.; Dias, A.M.P.G.
DOI: 10.1016/j.conbuildmat.2017.04.082
Non-destructive methodologies for assessment of the mechanical properties of new utility poles

BioResources, 2017
Martins, C.E.J.; Dias, A.M.P.G.; Marques, A.F.S.; Dias, A.M.A.
DOI: 10.15376/biores.12.2.2269-2283
Environmentally friendly high performance timber-concrete panel

Construction and Building Materials, 2016
Martins, C.; Dias, A.M.P.G.; Costa, R.; Santos, P.
DOI: 10.1016/j.conbuildmat.2015.07.194
Glulam made by Poplar: delamination and shear strength tests

International Scientific Conference on Hardwood Processing, 2017
Carlos Martins

A’eashah Alhakamy | Data Visualization | Research Excellence Award

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Assoc. Prof. Dr. A’eashah Alhakamy | Data Visualization | Research Excellence Award

University of Tabuk | Saudi Arabia

Assoc. Prof. Dr. A’eashah Alhakamy is an academic leader and researcher in computer science whose work spans computer graphics, computer vision, imaging, visualization, and extended reality, with a scholarly record comprising 27 published documents, 271 citations from 250 citing documents, and an h-index of 9. She earned her Ph.D. and M.Sc. in Computer Science from Purdue University, specializing in illumination integration in dynamic augmented-reality environments, following a B.Sc. in Computer Science from Taibah University. She serves as Associate Professor and Department Chair at the University of Tabuk, holding key leadership roles in data governance, academic affairs, research centers, and national committees. Her research focuses on augmented and extended reality, human-computer interaction, data visualization, immersive technologies, and AI-driven sensing systems, contributing to reputable venues such as IEEE Access, Applied Sciences, Sensors, and Sustainability. She has received multiple awards for outstanding scientific research, excellence in teaching, innovation, and high-impact publications from the University of Tabuk and national academic bodies. In addition, she has led funded grants, supervised numerous postgraduate and undergraduate projects, and contributed to major institutional initiatives. Through research, leadership, and continuous academic service, she remains committed to advancing immersive technologies and impactful computing research.

Profiles : Scopus | Orcid

Featured Publications

Alhakamy, A. (2025). Intersecting Realms: Examining the Convergence of Vision and AI in Extended Reality Graphics. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3599337

Friedman, A., Tazike, M., Shelton, E. G., Patel, N. A., Alhakamy, A., & Cafaro, F. (2025). Puppeteers and Forecasters: How Children Engage. Conference paper. https://doi.org/10.1145/3694907.3765950

Alhakamy, A. (2025). Advancing SDG5: Machine Learning and Statistical Graphics for Women’s Empowerment and Gender Equity. Sustainability. https://doi.org/10.3390/su17219706

Friedman, A., Tazike, M., Shelton, E. G., Patel, N., Alhakamy, A., & Cafaro, F. (2025). “I’m a Fish!”: Exploring Children’s Engagement with Human–Data Interactions in Museums. Applied Sciences. https://doi.org/10.3390/app152111304

Alhakamy, A. (2024). Extended Reality (XR) Toward Building Immersive Solutions: The Key to Unlocking Industry 4.0. ACM Computing Surveys. https://doi.org/10.1145/3652595

Jianwei Cheng | Engineering  | Best Scholar Award

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Prof. Jianwei Cheng | Engineering  | Best Scholar Award

China University of Mining and Technology | China

Dr. Jianwei Cheng is a distinguished professor in the College of Safety Engineering at the China University of Mining and Technology (CUMT), specializing in mine ventilation, gas explosion control, dust mitigation, and mine accident rescue strategies. He earned his B.S. and M.S. degrees in Safety and Mining Engineering from CUMT and completed his Ph.D. at West Virginia University, USA, further enhancing his expertise in mining safety. Dr. Cheng also holds an Associate Degree in Computer Science and Engineering. Since joining CUMT in 2012, he has led multiple research projects funded by government and industry, contributing significantly to mine ventilation design, explosion prevention, and safety strategies. Recognized internationally, he has served as a reviewer for over 100 journals, participated in the North American Mine Ventilation Symposium, and was awarded the Australia Endeavour Research Fellowship in 2015. His achievements include numerous national, provincial, and industry awards in science, technology, and teaching, reflecting his excellence in research and education. Dr. Cheng has published extensively, with 110 documents cited 1,729 times, achieving an h-index of 23. His work continues to advance the safety and efficiency of mining operations while promoting innovation in occupational health and mine rescue technologies.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Ran, D., Cheng, J., Sheng, S., Ma, Z., Fu, Q., Hou, W., & Chen, R. (2024). “A two-phase particle flow method based on SCLB for enhancing CBM recovery: Experimental testing and engineering applications” in Powder Technology. DOI: 10.1016/J.POWTEC.2024.119754

Cheng, J., Sheng, S., Xu, Y., Luo, Y., & Islam, M.M. (2024). “Deformation prediction of overlying strata in multi-seam mining based on the influence function method-key stratum hybrid model” in Geomechanics and Geophysics for Geo-energy and Geo-Resources. DOI: 10.1007/S40948-024-00875-6

Cheng, J., Ma, Z., Fu, Q., Ran, D., Borowski, M., & Xi, Z. (2024). “Eco-friendly three-phase-gel foam with novel particle-gel crosslinking enhancing stabilization and fire extinguishing” in Powder Technology. DOI: 10.1016/J.POWTEC.2024.120134

Ihsan, A., Cheng, J., Widodo, N.P., Wang, E., Waly, F.Z., Syachran, S.R., Fadillah, T., & Khamidah, H.N. (2024). “Hybrid method for analyzing air thermal conditions in underground mines” in Expert Systems with Applications. DOI: 10.1016/J.ESWA.2023.123026

Cheng, J., Hou, W., Zheng, X., Fediuk, R., Qin, Y., Chen, Z., Luo, Y., & Islam, M.M. (2024). “Modified space suspension bentonite-based powder for suppression dust explosion in moist conditions: Experimental testing and validations” in Fuel. DOI: 10.1016/J.FUEL.2024.132190

Chao Li | Data Processing | Research Excellence Award

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Dr. Chao Li | Data Processing | Research Excellence Award

Qingdao Technical College | China

Dr. Chao Li is an engineering scholar and lecturer whose work bridges professional education and applied research in advanced sensing technologies. He holds a doctoral degree in engineering and completed his undergraduate studies in industrial equipment and control engineering, where he built a strong foundation in intelligent systems. Since 2019, he has focused extensively on indoor mapping and positioning, integrating theoretical innovation with engineering-driven problem-solving. His research experience includes serving as a core contributor to multiple provincial key R&D initiatives and collaborations with major technology enterprises, where he helped develop applied solutions for real-world industrial environments. He has published several SCI-indexed journal articles as a first or corresponding author and holds an invention patent that reflects the practical impact of his work. In addition to research, he is dedicated to teaching and curriculum development in professional courses, promoting hands-on learning and interdisciplinary thinking. His academic achievements demonstrate a commitment to advancing positioning technologies, enhancing industry–academia collaboration, and addressing emerging challenges in smart manufacturing and intelligent monitoring. Looking ahead, he aims to continue deepening his contributions to indoor mapping and positioning, driving innovation that supports both scientific development and technological progress.

Profile : Orcid

Featured Publications

Li, C., Chai, W., Zhang, M., Sun, Z., Shao, G., & Li, Q. (2023). “A novel visual-aided method to enhance the inertial navigation system of an intelligent vehicle in indoor environments.” IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2023.3293884

Chai, W., Li, C., & Li, Q. (2023). “Multi-sensor fusion-based indoor single-track semantic map construction and localization.” IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2022.3226821

Li, C., Chai, W., Wu, Q., Li, J., Lin, F., Li, Z., & Li, Q. (2022). “A graph optimization enhanced indoor localization method.” In 2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE). https://doi.org/10.1109/cipae55637.2022.00055

Li, C., Chai, W., Yang, X., & Li, Q. (2022). “Crowdsourcing-based indoor semantic map construction and localization using graph optimization.” Sensors. https://doi.org/10.3390/s22166263

Chai, W., Li, C., Zhang, M., Sun, Z., Yuan, H., Lin, F., & Li, Q. (2021). “An enhanced pedestrian visual-inertial SLAM system aided with vanishing point in indoor environments.” Sensors. https://doi.org/10.3390/s21227428

JianHua Xie | Engineering | Excellence in Research

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Prof. Dr. JianHua Xie | Engineering | Excellence in Research

Xinjiang Agricultural University | China

Prof. Dr. Xie Jianhua is a Professor of Engineering and a supervisor of both master’s and doctoral students, specializing in agricultural engineering and machinery. She is an active member of the Chinese Society of Agricultural Engineering and the Chinese Society of Agricultural Machinery. She holds a Ph.D. in Engineering and has led and participated in numerous national and provincial research projects, including the National Natural Science Foundation of China project on the working mechanism of rod-tooth type film collecting and unloading mechanisms, as well as projects on intelligent monitoring of crop production and mechanization of sugar beet planting and harvesting. Prof. Xie has published over 60 academic papers, with more than 20 indexed in SCI/EI journals. Her work has received 307 citations across 228 documents, with an h-index of 10. She has obtained 10 invention patents, over 10 utility model patents, and 4 software copyrights. Her research focuses on intelligent agricultural machinery, mechanization of crop production, automation, and innovative system design for agricultural processes. She has been recognized with multiple awards, including a First Prize for Provincial and Ministerial Technological Invention, a Second Prize for Science and Technology Progress, and multiple Third Prizes for Science and Technology Progress and regional excellence. Prof. Xie’s work combines engineering innovation with practical agricultural applications, making significant contributions to modern agricultural mechanization.

Profile : Scopus

Featured Publications

Design and Experimental Investigation of Pneumatic Drum-Sieve-Type Separator for Transforming Mixtures of Protaetia Brevitarsis Larvae. Agriengineering, 2025.

Design and Experimental Evaluation of a Rotary Knife-Type Device for Chopping Film-Mixed Residues. Agriculture (Switzerland), 2025.

Design and Experiment of Rotary Knife-Axial Flow Drum Combined Device for Chopping and Separating Film Residue Mixture. Nongye Jixie Xuebao (Transactions of the Chinese Society for Agricultural Machinery), 2025.