Pengfei Guo | Optoelecronics and Nanophotonics | Best Research Award

Published on by Electrical Engineering

Prof. Dr. Pengfei Guo | Optoelecronics and Nanophotonics | Best Research Award

Prof. | Taiyuan University of Technology | China

Prof. Dr. Pengfei Guo is a Professor in the College of Physics and Optoelectronics at Taiyuan University of Technology, specializing in low-dimensional semiconductor materials, optoelectronics, and nanophotonics. He holds a bachelor’s degree in physics and electronics, a master’s degree in physics and electronics, and a doctoral degree in materials science and engineering. His professional experience includes academic appointments and postdoctoral research at leading institutions, participation in competitive scholar programs, supervision of research teams, and leadership in advanced nanomaterials projects. His research focuses on the controlled growth of one- and two-dimensional semiconductor nanostructures, novel optical and electronic properties, nanophotonic devices, and energy-related technologies, with extensive publications in high-impact international journals. Prof. Guo has received multiple prestigious awards and honors, serves in editorial roles for scholarly journals, and is an active member of the international research community, with 2,480 citations, an h-index of 25, and an i10-index of 52.

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Featured Publications

Growth of Alloy MoS2xSe2(1–x) Nanosheets with Fully Tunable Chemical Compositions and Optical Properties
H. Li, X. Duan, X. Wu, X. Zhuang, H. Zhou, Q. Zhang, X. Zhu, W. Hu, P. Ren, et al.
Journal of the American Chemical Society, 136(10), 3756–3759 · Citations: 582

Room-Temperature Dual-Wavelength Lasing from Single-Nanoribbon Lateral Heterostructures
J. Xu, L. Ma, P. Guo, X. Zhuang, X. Zhu, W. Hu, X. Duan, A. Pan
Journal of the American Chemical Society, 134(30), 12394–12397 · Citations: 127

On-Nanowire Axial Heterojunction Design for High-Performance Photodetectors
P. Guo, J. Xu, K. Gong, X. Shen, Y. Lu, Y. Qiu, J. Xu, Z. Zou, C. Wang, H. Yan, et al.
ACS Nano, 10(9), 8474–8481 · Citations: 102

Wavelength-Converted Selective Waveguiding Based on Composition-Graded Semiconductor Nanowires
J. Xu, X. Zhuang, P. Guo, Q. Zhang, W. Huang, Q. Wan, W. Hu, X. Wang, X. Zhu, et al.
Nano Letters, 12(9), 5003–5007 · Citations: 94

Semiconductor Alloy Nanoribbon Lateral Heterostructures for High-Performance Photodetectors
P. Guo, W. Hu, Q. Zhang, X. Zhuang, X. Zhu, H. Zhou, Z. Shan, J. Xu, A. Pan
Advanced Materials, 26(18), 2844–2849 · Citations: 86

Dominika Domagała | Biomedical Instrumentation | Research Excellence Award

Published on by Electrical Engineering

Ms. Dominika Domagała | Biomedical Instrumentation | Research Excellence Award

Wroclaw Medical University | Poland

Dominika Domagała is a research and teaching assistant at Wroclaw Medical University, specializing in human anatomy, physical anthropology, and forensic sciences, with academic expertise spanning medical, physiotherapy, nursing, and emergency medical education. She holds a Bachelor of Science and a Master of Science in Human Biology with specialization in Physical Anthropology and is currently pursuing doctoral studies, focusing on advanced anatomical and anthropological research.  Her professional development includes certified training in higher education pedagogy, and she maintains active engagement in academic and research communities. Scholarly impact indicators include 92 citations, 19 research documents, and an h-index of 4.

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Featured Publications

Yuhui Zhou | Wireless Communication | Research Excellence Award

Published on by Electrical Engineering

Ms. Yuhui Zhou | Wireless Communication | Research Excellence Award

Student | Henan Polytechnic University | China

Zhou Yuhui is a postgraduate researcher in Electronic Information at Henan Polytechnic University, specializing in wireless communications and integrated sensing and communication systems. He holds a bachelor’s degree in Communication Engineering and is pursuing a master’s degree with advanced training in wireless communication theory, signal detection and estimation, and space–time coding, consistently ranking among the top students academically. His professional experience includes active participation in a provincial-level research project focused on key technologies for autonomous-driving-oriented integrated sensing and communication. His achievements are complemented by multiple academic and technical competition awards, institutional honors recognizing academic excellence, editorial and scholarly engagement through indexed publications, and professional certifications in language proficiency and technical tools, underscoring his well-rounded academic profile and commitment to research excellence. 3 Citations, 5 Documents, 1 h-index

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Featured Publications

Secure backscatter NOMA systems with dual-antenna relay: Reliability, security, and efficiency analysis
Liyao Ma, Yuhui Zhou, Gaojian Huang, Mengyan Huang – Physical Communication

Time-modulated planar arrays enabled directional modulation symbol synthesis
Hui Chen, Yuhui Zhou, Shufen Chen, Xingwang Li – Physical Communication

Outage Probability Analysis of the Symbiotic Backscatter-NOMA Systems
Yuhui Zhou, Gaojian Huang, Xingwang Li – Conference Paper

Alexis Chavez | Renewable Energy Systems | Research Excellence Award

Published on by Electrical Engineering

Mr. Alexis Chavez | Renewable Energy Systems | Research Excellence Award

PhD Candidate | Universidad Mayor De San Simón | Bolivia

Ivan Alexis Chavez Flores is a Civil Engineer and Water Resources Engineer specializing in hydraulics, hydrology, and climate-resilient water systems, currently serving as an independent consultant at ELAXIS Ingeniería and a part-time academic instructor, with professional engagements across academia, consultancy, and applied engineering projects. He holds a Bachelor of Science in Civil Engineering with specialization in Hydraulics and Hydrology, graduating with highest academic distinction, and a Master of Science in Water Resources Engineering earned with cum laude recognition, complemented by advanced training in hydrological modeling, irrigation efficiency, His achievements include competitive international scholarships, institutional commendations for leadership and academic service, professional certifications, active membership in national and international engineering and water resources associations, and participation as a research collaborator within multidisciplinary scientific networks.

View  Scopus Profile View  ORCID Profile

Featured Publications

Ivan Alexis Chavez Flores*, Impacts of climate change on the hydropower potential of a multipurpose storage system project in Bolivian Andes. Journal of Hydrology: Regional Studies, 2025, Article 102903.

Ivan Alexis Chavez Flores, Mauricio Villazón, Diego Inturias, Pablo Pardo, Carolina Aldunate, Crítica, análisis y relleno de las series de tiempo hidrométricas de la Amazonía Boliviana: Ajuste de curvas de descarga H–Q (Tomo 1). FAO Bolivia, 2024.

Ivan Alexis Chavez Flores*, Crítica, análisis y relleno de las series de tiempo hidrométricas de la Amazonía Boliviana: Análisis, crítica y relleno de la información hidrométrica y caudales (Tomo 2). FAO Bolivia, 2024.

Santiago Núñez Mejía, Carina Villegas-Lituma, Patricio Crespo, Mario Córdova, Ronald Gualán, Johanna Ochoa, Pablo Guzmán, Daniela Ballari, Ivan Alexis Chavez Flores et al., Downscaling precipitation and temperature in the Andes: applied methods and performance—a systematic review protocol. Environmental Evidence, 2023, 12, Article 23.

Mr. Nicholas Otumi | Biomedical Instrumentation | Research Excellence Award

Published on by Electrical Engineering

Mr. Nicholas Otumi | Biomedical Instrumentation | Research Excellence Award

Research Assistant | University of Rochester | United States

Nicholas Otumi is a biomedical imaging researcher and diagnostic imaging specialist affiliated with the University of Rochester, with expertise spanning diagnostic imaging, biomedical engineering, and artificial intelligence–driven medical image analysis. He holds a Master of Science in Diagnostic Imaging with specialization in bioengineering and biomedical engineering, and a Bachelor of Science in Diagnostic Imaging Technology, supported by advanced training in deep learning, signal processing, inverse problems, and clinical imaging. His professional experience includes research assistant roles across academic and clinical settings, where he has contributed to imaging model development, clinical data management, AI-based brain and chest image segmentation, and interdisciplinary healthcare research, alongside leadership and community engagement roles within university environments. His research focuses on medical image quality, user-centered imaging system evaluation, deep learning for disease classification, and the application of advanced MRI and CT techniques in both high- and low-resource settings, with multiple peer-reviewed journal publications and ongoing studies under review. He has received competitive research funding and fellowship recognition, institutional awards for leadership and versatility, and has participated in international scientific schools and specialized workshops in radiochemistry, medical physics, AI diagnostics, and imaging quality assurance. His academic service includes research collaboration, technical support, and scholarly dissemination, reflecting a strong commitment to advancing diagnostic imaging research and education.

Profiles:  Google Scholar | ORCID

Featured Publications

AD Piersson, G Nunoo, E Tettey, N Otumi, User-centered assessment of MRI equipment flexibility, workspace adequacy, user interface usability, and technical proficiency. Appl. Clin. Inform., 2025, 16(5), 1595–1605.

AD Piersson, G Nunoo, K Dzefi-Tettey, N Otumi, Utility of advanced brain MRI techniques for clinical and research purposes in a low-resource setting: A multicentre survey. Next Res., 2025, 100638.

A Piersson, E Frost, K Dzefi-Tettey, N Otumi, H Mumuni, S Kafwimbi, et al., Public attitudes and preferences towards artificial intelligence in diagnostic imaging for clinical diagnosis in a low-resource setting (n = 1,032). Eur. Soc. Radiol. (ECR), 2025.

E Fiagbedzi, J Arkorful, IF Brobbey, E Appiah, S Nyarko, N Otumi, et al., A case of ruptured infrapatellar bursa sac with Baker’s cyst. Radiol. Case Rep., 2025, 20(1), 700–704.

E Fiagbedzi, J Arkorful, E Appiah, N Otumi, I Ofori, PN Gorleku, A rare case of intussusception in a 6-month-old baby. Radiol. Case Rep., 2025, 19(10), 4451–4456.

Zhongjun Ma | Nanoelectronics | Research Excellence Award

Published on by Electrical Engineering

Dr. Zhongjun Ma | Nanoelectronics | Research Excellence Award

Engineer | Henan Normal University | China

Zhongjun Ma is a faculty researcher at the School of Environment, Henan Normal University, Xinxiang, China, specializing in microwave absorption and related electromagnetic functional materials. He earned his doctoral degree with a specialization in microwave absorption science, building a strong foundation in material design, absorption mechanisms, and device-oriented applications. Professionally, he has contributed through academic teaching, research project participation, and collaborative research activities, demonstrating leadership in experimental design and scholarly dissemination. His research focuses on microwave absorbing materials, absorption mechanisms, and the development of high-performance microwave absorbing devices, with contributions that advance both theoretical understanding and practical implementation. He has authored 22 scholarly documents that collectively reflect sustained research productivity and impact, achieving 521 citations and an h-index of 12, underscoring the relevance and influence of his work within the field.

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Featured Publications

Toroidal Curved Overlapping Patch Resonant Microwave Sensor for Bolt Loosening Detection
Han, X.-Y.; Zhang, D.; Liu, J.; Liu, X.; Sun, C.; Fu, C.-H.; Ma, Z.-J. – SSRN
ZIF-67-Derived Hierarchical Porous Hollow Shell Engineering for Efficient Microwave Absorption in Ku Band
Han, X.; Sun, C.; Zhang, S.; Liu, K.; Zhai, P.; Liu, X.; Zhang, D.; Liu, J.; Ma, Z. – SSRN
Conversion of Lignin into Porous Carbons for High-Performance Supercapacitors via Spray Drying and KOH Activation
Feng, S.; Ouyang, Q.; Huang, J.; Zhang, X.; Ma, Z.; Liang, K.; Huang, Q. – Journal of Renewable Materials

Aseel Basheer | Machine Learning | Excellence in Research Award

Published on by Electrical Engineering

Dr. Aseel Basheer | Machine Learning | Excellence in Research Award

Postdoc | University of Oklahoma | United States

Aseel Basheer is a Graduate Research Assistant and Ph.D. candidate in Computer Science at the University of Oklahoma, with expertise in machine learning, data science, and large-scale data analytics. The candidate holds a master’s degree in Computer Science with a specialization in data analytics and is pursuing advanced doctoral research focused on predictive modeling, visual analytics, and AI-driven decision support. Professionally, Aseel has contributed to interdisciplinary research projects in public health intelligence and pandemic surveillance, developing AI/ML models, data-driven forecasting systems, and visualization platforms, while also demonstrating academic leadership through teaching, mentoring, and curriculum support in higher education. The candidate’s professional profile is further strengthened by recognized certifications in data analytics, machine learning, healthcare data science, and research rigor, alongside active engagement in scholarly communities. The scholarly impact is reflected through 22 citations, an h-index of 2, and an i10-index of 1.

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