Ms. Elahe Rahmani Samani | Artificial Intelligence | Young Researcher Award

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Ms. Elahe Rahmani Samani | Artificial Intelligence | Young Researcher Award

Ms. Elahe Rahmani Samani, Undergraduate Researcher, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Ms. Elahe Rahmani Samani is a dedicated undergraduate researcher in Healthcare Management at Shahid Sadoughi University of Medical Sciences, Yazd, Iran. With a strong commitment to advancing health systems through innovative technologies, she has emerged as a promising young voice in the intersection of healthcare and artificial intelligence. As the corresponding author of a high-impact study published in the International Journal of Medical Informatics, she has already gained visibility on an international platform. Elahe is also an editorial board member of a university-affiliated journal and actively engages in research collaboration, demonstrating leadership and academic excellence early in her career.

Publication Profile

ORCID

🎓 Education Background

Ms. Elahe Rahmani Samani is currently pursuing her undergraduate degree in Healthcare Management at Shahid Sadoughi University of Medical Sciences in Yazd, Iran. Her academic journey has been marked by an early passion for healthcare innovation and policy development. As a student member of the Health Policy and Management Research Center, she has access to extensive research mentorship and academic resources, which support her pursuits in AI integration in health systems. Her education equips her with both practical management knowledge and technical understanding essential for modern health leadership. She continues to excel academically, contributing meaningfully to her institution’s research mission.

💼 Professional Experience

Although still an undergraduate student, Ms. Rahmani Samani has demonstrated remarkable initiative by leading and collaborating on several research projects. Her standout experience includes serving as the primary researcher and corresponding author for a study on AI adoption in hospital settings, presented at the International Congress on Artificial Intelligence in Health. She also serves on the editorial board of a university-affiliated journal, where she helps shape academic content for peer learning. Elahe’s active involvement in health systems projects, poster sessions, and ongoing collaborations reflect her deep engagement with practical and theoretical aspects of healthcare management.

🏆 Awards and Honors

While formal awards are yet to be recorded due to her early stage in academia, Ms. Elahe Rahmani Samani has achieved significant recognition by publishing in a Scopus-indexed journal and presenting at an international congress. She earned certificates of participation from the International Congress on Artificial Intelligence in Health and is continuously contributing to scholarly work in health systems. Her selection for the editorial board role and involvement in a university-level book project highlight the academic community’s acknowledgment of her talents. Her publication is already accessible through global platforms and is poised to gain academic citations in the near future.

🔬 Research Focus

Elahe Rahmani Samani’s research interests revolve around hospital and healthcare management, particularly in leveraging artificial intelligence to optimize health systems for both patients and staff. She has successfully completed one major research project that analyzes hospital managers’ perspectives on AI integration—an innovative topic reflecting current global trends. Her work aims to influence strategic decision-making within health institutions by promoting the adoption of intelligent systems. She is also contributing to an ongoing book project in healthcare management and continues to work on four other health-related research studies, exploring themes of efficiency, technology adoption, and patient-centered care in health policy.

🧭 Conclusion

Ms. Elahe Rahmani Samani exemplifies the drive and intellect of a next-generation healthcare researcher. Her early publication in a high-impact journal and involvement in both local and international academic platforms underscore her potential to become a leader in the field. With a unique blend of management insight and technological perspective, she aims to transform how healthcare institutions approach innovation. Her commitment to research excellence, combined with her growing professional network and academic contributions, positions her as a strong contender for the Young Researcher Award. Her journey is only beginning, and she is already contributing to global discussions in health innovation.

📚 Top Publication Note

Title: Managers’ perceptions and attitudes toward the use of artificial intelligence technology in selected hospital settings
Authors: Mousavi SM, RahmaniSamani E, Raadabadi M, DehghaniTafti A
Journal: International Journal of Medical Informatics
Year: 2025

Justin McMurray | Biomedical Engineering | Best Researcher Award

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Mr. Justin McMurray | Biomedical Engineering | Best Researcher Award

Mr. Justin McMurray, PhD Candidate, Biomedical Engineering, Texas A&M University, United States.

Dr. Justin McMurray is an accomplished biomedical engineer, researcher, and U.S. Air Force officer based in Bryan, Texas. With a career spanning over a decade across academia, industry, and military service, he specializes in the development of wearable biomedical devices and healthcare innovations. Currently pursuing a Ph.D. in Biomedical Engineering at Texas A&M University, Dr. McMurray leads interdisciplinary R&D teams and contributes to cutting-edge solutions for underserved populations. He is recognized for his technical ingenuity, leadership in medical device design, and numerous patents and peer-reviewed publications in biosensing and physiological monitoring technologies.

Publication Profile

Scopus

ORCID

Google Scholar

🎓 Education Background

Dr. McMurray has a robust educational foundation rooted in engineering and science. He earned a Ph.D. (2020–2025 expected) and a Master of Engineering in Biomedical Engineering (2020) from Texas A&M University. He previously completed his Bachelor of Science in Biomedical Engineering (2019) from the same institution. His academic journey began with an Associate of Science in Chemistry with honors from Tarrant County College (2002). Dr. McMurray also earned a certificate in Engineering Project Management, reinforcing his interdisciplinary capabilities in innovation leadership and medical device development.

💼 Professional Experience

Justin McMurray brings diverse and hands-on engineering experience. As a PATHS-UP Fellow and graduate research assistant at Texas A&M, he develops advanced biomedical sensors for underserved communities. Simultaneously, he serves as a Medical Service Corps Officer in the U.S. Air Force, ensuring mission readiness in healthcare operations. His prior roles span engineering internships at Maxim Integrated, lab management in embedded signal processing, and positions at Cochlear, ISG Technologies, and National Oilwell Varco. His versatile background blends research, leadership, and innovation across academic, industrial, and military environments.

🏅 Awards and Honors

Dr. McMurray’s impactful work has garnered multiple honors, including seven patent filings in biomedical innovations from 2020 to 2024. He is a recognized PATHS-UP Fellow, supported by the NSF-funded Engineering Research Center focusing on health equity technologies. As a U.S. Air Force officer, he continues to be acknowledged for his leadership and contributions to operational healthcare advancements. His patents reflect his technical excellence, while his publications in top-tier journals such as Biosensors and Advanced Materials Technologies highlight his research excellence in wearable biomedical systems.

🔬 Research Focus

Dr. McMurray’s research is centered on wearable biomedical sensors, multimodal signal acquisition, and physiological monitoring for health diagnostics. He explores innovations in cuffless blood pressure monitoring, bioimpedance analysis, and photoplethysmography. His work integrates machine learning, signal processing, and embedded electronics to create precise, accessible healthcare devices. His projects often address the needs of underserved populations, guided by a mission to democratize health technology. His collaborations span interdisciplinary teams at Texas A&M and global industry partners, pushing the boundaries of real-time biosensing and smart healthcare systems.

📌 Conclusion

Dr. Justin McMurray exemplifies innovation and leadership in biomedical engineering, combining academic rigor, real-world problem solving, and national service. With a suite of patents, influential publications, and active leadership roles, he is advancing healthcare technology at the intersection of engineering and medicine. His work addresses critical gaps in patient monitoring, particularly in resource-limited environments. Through his continued service in the Air Force and academia, Dr. McMurray is committed to improving human health and mission efficiency using advanced, accessible biomedical technologies.

📚 Top Publication Notes

  1. A Novel Wearable Device for Continuous Blood Pressure Monitoring Utilizing Strain Gauge Technology
    Biosensors, 2025 — A pioneering study on strain-gauge blood pressure devices.
    Cited by: 8 articles (as of mid-2025)

  2. Engineering a Point-of-Care Device for Multiplex Monitoring of Urinary Parameters
    IEEE Sensors Letters, 2025 — Highlights McMurray’s role in low-cost health diagnostics.
    Cited by: 5 articles

  3. Contact Pressure-Guided Wearable Dual-Channel Bioimpedance Device
    Advanced Materials Technologies, 2024 — Presents wearable bioimpedance solutions.
    Cited by: 12 articles

  4. Multiwavelength Photoplethysmography Signal Analysis
    SPIE Optical Diagnostics and Sensing XXIII, 2023 — Details optical wrist monitoring tech.
    Cited by: 10 articles

  5. A Wrist-Worn Strap with an Array of Electrodes
    IEEE EMBC, 2018 — One of his earliest contributions to robust physiological sensing.
    Cited by: 25 articles

 

ZAIN ABBAS | Agronomy | Best Researcher Award

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Dr. ZAIN ABBAS | Agronomy | Best Researcher Award

Dr. ZAIN ABBAS, Researcher, Anhui Science and Technology University, China.

Zain Abbas is a passionate agricultural researcher from Pakistan, currently pursuing his M.Phil. in Agronomy and Seed Industry at Anhui Science and Technology University, China. With a strong academic foundation and hands-on experience in molecular biology and nanotechnology applications in crops, he is committed to exploring innovative agricultural solutions. His primary research revolves around the influence of magnesium nanoparticles on maize, contributing to the broader goals of sustainable agriculture. Zain is fluent in multiple languages and is actively involved in international academic and cultural events. He aspires to become a global expert in plant breeding and seed technology.

Publication Profile

Scopus

🎓 Education Background

Zain Abbas began his academic journey with a Bachelor’s degree in Plant Breeding and Genetics from Muhammad Nawaz Sharif University of Agriculture, Multan, where he graduated as a Silver Medalist. He is currently enrolled in a Master’s program (M.Phil.) in Agronomy and Seed Industry at Anhui Science and Technology University, China. His strong academic performance reflects his dedication to scientific research and innovation. Zain’s education has been complemented by technical diplomas and certifications in computer applications, which have enhanced his data analysis and research reporting skills. His career goal is to complete a Ph.D. at a prestigious global institution.

💼 Professional Experience

Zain has accumulated diverse experience in agricultural research, working as a current researcher in China where he designs and executes experiments, operates lab instruments, and manages safety protocols. He previously served as a research assistant in Multan, Pakistan, where he honed skills in tissue culture, genetic transformation, and culture maintenance. His early experience includes an internship as a crop breeder, managing 5 hectares of land and working on hybridization in maize and wheat. His multi-year, cross-national exposure in lab and fieldwork underlines his comprehensive expertise in plant research, making him an asset in breeding and seed industry roles.

🏅 Awards and Honors

Zain Abbas has received numerous accolades throughout his academic journey. Notable recognitions include the “Special Award” at the English Anchor Contest during the 15th Foreign Language Cultural Festival at Anhui Science and Technology University and a second prize in the University’s Flower Arrangement Skills Competition. He also participated in the 11th International Student Culture Activity and received a laptop through the Prime Minister’s Laptop Scheme in Pakistan. His diverse awards from international conferences, innovation competitions, and provincial recognitions highlight his academic brilliance, creativity, and consistent excellence in both research and extracurricular domains.

🔬 Research Focus

Zain’s primary research centers on the application of nanotechnology in agriculture, particularly the role of magnesium oxide (MgO) nanoparticles in enhancing maize growth and resilience. He is also deeply involved in transcriptomics, where he investigates plant growth regulator genes related to stress resistance in maize. His work spans physiological characterization, genome-wide association studies, and in-vitro propagation techniques. Zain’s scientific goals align with global challenges such as food security, climate resilience, and sustainable agriculture. His keen interest in breeding and seed industries drives his research agenda toward developing healthier, high-yielding crop varieties with fewer environmental impacts.

📌 Conclusion

Zain Abbas exemplifies a committed and forward-thinking agricultural scientist. With robust academic credentials, practical lab experience across borders, and a passion for cutting-edge research in plant science and biotechnology, he aims to innovate sustainable agricultural practices. Zain seeks to join globally renowned institutes to complete his doctoral research and continue contributing to breeding advancements. He is motivated to apply modern techniques to solve real-world agricultural problems, aspiring to leave a positive impact on global food systems and crop productivity. His collaborative spirit and multilingual fluency make him well-suited for international academic and professional environments.

📚 Top Publications with Notes

  1. Influence of Magnesium Oxide (MgO) Nanoparticles on maize (Zea mays L.)
    📖 View Publication – Heliyon, 2023
    Cited by: 12 articles
    This paper explores how MgO nanoparticles enhance maize yield and stress resistance, offering insights into nanotechnology in agronomy.

  2. Antifungal Activity of Difenoconazole-Loaded Microcapsules against Curvularia lunata
    📖 View Publication – Carbohydrate Polymers, 2022
    Cited by: 9 articles
    This study evaluates the efficiency of antifungal microcapsules in plant disease management, showcasing innovative plant protection.

  3. Comparative Transcriptomics Analysis and Physiological Characterization of Maize (Zea mays L.)
    📖 View Publication – Plant and Cell Physiology, 2021
    Cited by: 15 articles
    Focuses on gene expression under stress conditions in maize, revealing vital regulatory networks for development and defense.

  4. Alleviating effect of nano iron powder on seed germination and seedling growth of glutinous maize under cold stress (In Chinese)
    📖 View Publication – Chinese Agricultural Science Bulletin, 2023
    Cited by : 5 articles
    Addresses the impact of nano iron powder on seed germination and seedling growth of glutinous maize under cold stress.

  5. Genome-Wide Association Analysis of Seed Reserve Utilization Efficiency under Low Temperature Stress
    📖 View Publication – Molecular Breeding, 2023
    Cited by: 10 articles
    Provides GWAS results identifying QTLs linked with energy mobilization under temperature stress, aiding stress-resilient breeding.

  6. In-vitro Micropropagation of Quinoa (Chenopodium quinoa)
    📖 View Publication – Scientia Horticulturae, 2020
    Cited by: 7 articles
    Presents protocols for efficient propagation of quinoa, supporting sustainable grain production in marginal areas.

  7. In-vitro Multiple Shoots Induction and Plant Regeneration in Mung Bean (Vigna radiata L.)
    📖 View Publication – Plant Cell, Tissue and Organ Culture, 2020
    Cited by: 6 articles
    Highlights tissue culture methods to induce multiple shoots and full plant regeneration in mung bean for breeding programs.

  8. Magnesium Deficiency in Maize and the Influence of MgO Nanoparticles (Thesis Work)
    📖 University Repository (PDF) – Thesis, Anhui Science and Technology University, 2024
    Cited by: 3 research works
    An in-depth thesis examining how MgO nanoparticles alleviate magnesium deficiency symptoms in maize during growth stages.

 

Hakan Terzioğlu | Engineering | Best Researcher Award

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Assist. Prof. Dr. Hakan Terzioğlu | Engineering | Best Researcher Award

Assist. Prof. Dr. Hakan Terzioğlu at Selçuk University, Turkey

Dr. Hakan Terzioğlu is a distinguished academic in Electrical and Electronics Engineering, currently serving at Selçuk University. He earned his Ph.D. in 2016 with research focused on switched reluctance motors. With over two decades of teaching and research experience, his work spans electric vehicles, control systems, renewable energy, and defense technologies. He has supervised numerous graduate theses and led national research projects. His publications cover advanced motor control, thermoelectric generators, and solar energy systems. In addition to his research, he has held key administrative roles including department chair and research center deputy director, contributing significantly to academic and technological advancement.

Professional Profile

Google Scholar

🎓 Education Background

Dr. Hakan Terzioğlu holds a strong academic foundation in Electrical and Electronics Engineering. He completed his Ph.D. in 2016 at Selçuk University, focusing on reducing torque ripple in switched reluctance motors through driver and controller design. He earned his M.Sc. in 2008 from Gazi University, where he developed PID parameter identification methods using DC motor performance curves. His undergraduate studies were completed in 2005 at Gazi University’s Faculty of Technical Education. With this solid educational background, Dr. Terzioğlu has built a career that bridges theoretical expertise and practical application in control systems, renewable energy, and electric vehicle technologies.

🏢 Professional Experience

Dr. Hakan Terzioğlu has over 20 years of academic and research experience in electrical and electronics engineering. He currently serves as a faculty member in the Department of Control and Command Systems at Selçuk University. Previously, he held academic roles at Konya Technical University and Gazi University, contributing to both teaching and research. He has supervised numerous graduate theses and led multiple national research projects in areas such as electric vehicle design, renewable energy, and smart control systems. In addition to his academic work, he has held key administrative positions including department chair, research center deputy director, and rector’s advisor.

🏆 Awards and Honors

Dr. Hakan Terzioğlu has been recognized for his contributions to electrical and electronics engineering through various academic and project-based honors. He has served as the principal investigator and researcher on several nationally funded scientific projects, reflecting his leadership in innovation and applied research. His work in electric vehicles, thermoelectric energy systems, and control technologies has earned institutional support and academic recognition. Additionally, his role in mentoring graduate students in cutting-edge fields such as defense systems and renewable energy showcases his commitment to academic excellence. These achievements underline his dedication to advancing technological research and education in Turkey.

🔬 Research Focus

Dr. Hakan Terzioğlu’s research primarily centers on electrical machines, control systems, renewable energy technologies, and electric vehicle applications. His doctoral work on reducing torque ripple in switched reluctance motors laid the foundation for his continued exploration of advanced motor control strategies. He has contributed to the development of battery management systems, MPPT-controlled solar lighting systems, and thermoelectric power generation. His recent focus includes defense technology applications, smart grid optimization, and the integration of blockchain in engineering systems. Dr. Terzioğlu’s interdisciplinary approach bridges theory and application, addressing current challenges in energy efficiency, automation, and intelligent transportation technologies.

📚 Top Publications with Details

Dijkstra algorithm using UAV path planning
📅 Year: 2020 | Cited by: 51

Analysis of effect factors on thermoelectric generator using Taguchi method
📅 Year: 2020 | Cited by: 45

Hız performans eğrisi kullanılarak kazanç (PID) parametrelerinin belirlenmesi
📅 Year: 2007 | Cited by: 33

A new approach to the installation of solar panels
📅 Year: 2015 | Cited by: 18

Comparison of two different restoration materials and two different implant designs of implant-supported fixed cantilevered prostheses: A 3D finite element analysis
📅 Year: 2013 |  Cited by: 18

📌 Conclusion

Dr. Hakan Terzioğlu is a highly accomplished academic and researcher in the fields of Electrical Engineering, Control Systems, and Sustainable Technology Development, making him an excellent candidate for the Best Researcher Award. With a Ph.D. from Selçuk University and over 20 years of experience, he has demonstrated expertise through impactful research in reluctance motors, electric vehicles, renewable energy, and smart systems. He has led and contributed to numerous nationally funded projects, published in respected journals, and mentored graduate students in emerging technologies. His leadership in academic and administrative roles further highlights his commitment to advancing engineering education and innovation.

 

Xin Gao | Technology | Best Researcher Award

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Prof. Xin Gao | Technology | Best Researcher Award

Professor at Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, China

Dr. Xin Gao is a Professor affiliated with the Children’s Hospital of Soochow University, the Suzhou Institute of Biomedical Engineering and Technology (CAS), and Jinan Guoke Medical and Technology Development Co., Ltd. He earned his Ph.D. in Biomedical Engineering from Zhejiang University in 2004 and specializes in precision medicine, intelligent image computing, surgical navigation, and low-dose cone-beam CT. He has published over 120 papers, holds 21 patents, and has led major national and provincial research projects. Recognized through programs such as the CAS Pioneer Hundred Talents and Jiangsu’s 333 Talent Plan, he also plays key roles in national academic and medical device review committees.

Professional Profile

Orcid

🎓 Education Background

Dr. Xin Gao received his Ph.D. in Biomedical Engineering from Zhejiang University, Hangzhou, China, in 2004. He currently serves as a Professor at the Children’s Hospital of Soochow University and is affiliated with the Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, and Jinan Guoke Medical and Technology Development Co., Ltd. His research focuses on precision medicine, intelligent image computing, surgical navigation, and low-dose cone-beam CT. He has published over 120 scientific papers, holds 21 patents, and has led numerous national and provincial projects, earning recognition through several prestigious national talent programs and academic roles.

🏢 Professional Experience

Dr. Xin Gao has extensive professional experience in biomedical engineering and precision medicine. He is a Professor at the Children’s Hospital of Soochow University and holds affiliations with the Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, and Jinan Guoke Medical and Technology Development Co., Ltd. He has led over 20 major research projects, including national key R&D programs and multiple grants from the National Natural Science Foundation of China. With more than 120 published papers and 21 patents, he has made impactful contributions to intelligent imaging, surgical robotics, and low-dose CT technologies in clinical applications.

🏆 Awards and Honors

Dr. Xin Gao has received numerous prestigious awards and honors in recognition of his contributions to biomedical engineering and medical innovation. He was named a Taishan Industry Leading Talent by Shandong Province in 2023 and received the Outstanding Tutor Award from the University of Science and Technology of China in 2021. He is a recipient of the Chinese Academy of Sciences’ “Pioneer Hundred Talents Program” and has been selected for both second- and third-level tiers of Jiangsu Province’s “333 High-Level Talent Training Project.” His accolades also include national and provincial recognitions for leadership in research, education, and innovation.

🔬 Research Focus

Dr. Xin Gao’s research centers on precision medicine, intelligent medical imaging, and minimally invasive diagnostic technologies. He integrates clinical big data—including imaging, genetics, pathology, and biochemistry—with artificial intelligence and data mining to support disease risk prediction, diagnosis, and treatment planning. His work in surgical navigation and robotics aims to enhance accuracy in minimally invasive procedures through advanced imaging and positioning systems. Additionally, he focuses on low-dose cone-beam CT imaging, developing techniques for 3D reconstruction and spectral information analysis. His research bridges fundamental science and practical application, contributing to the advancement of personalized and efficient healthcare solutions.

📚 Top Publications with Details

📄 Peritumoral MRI radiomics features increase the evaluation efficiency for response to chemotherapy in patients with epithelial ovarian cancer 

Year: 2024

📄 Multicenter evaluation of a weakly supervised deep learning model for lymph node diagnosis in rectal cancer at MRI  

Year: 2024

📄 Safety and Efficacy of Cone‑Beam Computed Tomography‑Guided Lung Tumor Localization with a Near‑Infrared Marker: A Retrospective Study of 175 Patients

Year: 2022

📄 Deep learning‑based segmentation of epithelial ovarian cancer on T2‑weighted magnetic resonance images

Year: 2023

📄 Contribution of whole slide imaging‑based deep learning in the assessment of intraoperative and postoperative sections in neuropathology

Year: 2023

📌 Conclusion

Professor Xin Gao is an exceptional candidate for the Best Researcher Award, with an outstanding record in biomedical engineering, precision medicine, and intelligent medical imaging. He has published over 120 scientific papers, including more than 60 SCI-indexed articles in top-tier journals, and holds 21 patents, including a U.S. patent. His leadership in over 21 major national and provincial research projects demonstrates his ability to secure and manage significant scientific funding. Recognized through honors such as the Taishan Industry Leading Talent and CAS Pioneer Hundred Talents Program, he also holds key academic and regulatory roles. His work bridges fundamental research and clinical application, making a substantial impact on healthcare innovation and education.

 

Assoc. Prof. Dr. Sha Huan | Radar | Best Researcher Award

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Assoc. Prof. Dr. Sha Huan | Radar | Best Researcher Award

Assoc. Prof. Dr. Sha Huan , supervisor , guangzhou university, China.

Dr. Sha Huan is an accomplished Associate Professor at the School of Electronics and Communication Engineering, Guangzhou University. She earned her Ph.D. in Electromagnetic Field and Microwave Technique from Beijing Institute of Technology and has established herself as a leader in radar signal processing and machine learning applications. Prior to joining academia, she served as a Senior Engineer at the Beijing Institute of Radio Measurement. With a profound commitment to innovation, she has authored numerous high-impact publications and holds over 50 patents. Her research excellence and collaborative engagements reflect her dedication to advancing intelligent perception and anti-jamming radar technologies.

Publication Profile

Scopus

ORCID

Google scholar

🎓 Education Background

Sha Huan received her B.Eng. degree in Information Engineering in 2006 and her Ph.D. in Electromagnetic Field and Microwave Technique in 2012 from the prestigious Beijing Institute of Technology, China. Her academic training laid a solid foundation in radar signal processing, high-resolution imaging, and microwave techniques. These academic achievements were instrumental in shaping her expertise in complex signal environments and laid the groundwork for her successful transition from engineering to academic leadership. Her continued involvement in interdisciplinary research showcases her commitment to learning and pushing boundaries within radar technology and intelligent systems.

🏢 Professional Experience

From 2012 to 2017, Dr. Sha Huan served as a Senior Engineer at the Beijing Institute of Radio Measurement, where she gained extensive industry experience in radar system design and interference suppression. She later transitioned into academia and is now an Associate Professor at Guangzhou University. At the university, she leads cutting-edge research in the School of Electronics and Communication Engineering, mentoring students and collaborating with institutions such as Sun Yat-sen University and Foshan University. Her diverse experience bridges both academic and industrial domains, enhancing her credibility in innovation and applied research.

🏆 Awards and Honors

Dr. Sha Huan’s contributions to radar imaging and machine learning have been recognized through numerous published patents and high citation indices. Although specific award titles are not listed, her recognition stems from her outstanding patent portfolio (55 patents), significant publication output (18 journal articles), and impactful collaborations. Her work has earned citations across the global research community, reflecting its relevance and influence. Her recent advancements in intelligent jamming countermeasures position her as a leading figure in radar signal research, potentially qualifying her for prestigious recognitions such as the Best Researcher Award.

🔬 Research Focus

Dr. Sha Huan’s research spans intelligent perception, machine learning, high-resolution radar imaging, and radar anti-jamming processing. She has pioneered the development of a Complex-Valued Encoder-Decoder Network for counteracting interrupted sampling repeater jamming (ISRJ), showcasing innovations in complex signal processing. Her work integrates deep learning architectures with physical signal models to maintain amplitude and phase integrity while enhancing target detection capabilities. Her collaborative efforts and high-quality publications emphasize multi-domain feature extraction and signal fidelity, marking significant advancements in radar intelligence and secure communication systems.

📌 Conclusion

Dr. Sha Huan is a forward-thinking radar scientist who has seamlessly merged academic excellence with real-world impact. Her pioneering contributions to jamming suppression, robust imaging, and intelligent systems have set new benchmarks in electromagnetic research. With a robust background in engineering, a strong academic career, and significant contributions to the scientific community, she is a prime candidate for the Best Researcher Award. Her dedication, innovation, and collaborative spirit highlight her as a role model in advanced radar and communication technologies.

📚 Top Publications with Details

  1. Radar human activity recognition with an attention-based deep learning network
    Published in: Sensors, 2023
    Cited by: 28 articles

  2. A lightweight hybrid vision transformer network for radar-based human activity recognition
    Published in: Scientific Reports, 2023
    Cited by: 25 articles

  3. Bayesian compress sensing based countermeasure scheme against the interrupted sampling repeater jamming
    Published in: Sensors, 2019
    Cited by: 24 articles

  4. Orthogonal chirp division multiplexing waveform for mmWave joint radar and communication
    Published in: IET International Radar Conference, 2020
    Cited by: 12 articles

  5. A compact LTCC Transmit Receive module at Ku-band
    Published in: 2010 IEEE International Conference on Microwave and Millimeter Wave Technology
    Cited by: 10 articles

  6. Random stepped-frequency SAR imagery with full cell Doppler coherent processing
    Published in: IEEE Geoscience and Remote Sensing Letters, 2021
    Cited by: 9 articles

  7. Structure-guaranteed SAR imagery via spatially-variant morphology regularization in ADMM manner
    Published in: IEEE Transactions on Geoscience and Remote Sensing, 2022
    Cited by: 7 articles

  8. Low elevation angle estimation with range super-resolution in wideband radar
    Published in: Sensors, 2020
    Cited by: 7 articles

 

Prof. Dr. Ali Bahadori Jahromi | Engineering | Best Researcher Award

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Prof. Dr. Ali Bahadori Jahromi | Engineering | Best Researcher Award

Prof. Dr. Ali Bahadori Jahromi , Professor of Civil Engineering , University of West London , United Kingdom.

Professor Ali Bahadori-Jahromi is a distinguished academic and civil engineer at the University of West London, serving as Professor of Civil Engineering, Course Leader, and Doctoral Lead for Engineering. With an illustrious background in both academia and industry, he leads the Building Performance and Climate Change Research Group and founded the Engineering Future Sustainability journal. His professional journey spans the UK, Iran, and New Zealand, with contributions in sustainable construction, energy efficiency, and climate-resilient infrastructure. Recognized as a Fellow and Chartered Civil Engineer by the Institution of Civil Engineers, he is actively involved in curriculum development, research leadership, and industry collaborations.

Publication Profile

Scopus

ORCID

Google Scholar

🎓 Education Background

Professor Bahadori-Jahromi’s academic foundation began in Iran with a BEng (Hons) in Civil Engineering (1997) from Azad University. He advanced to earn an MSc in Structural Engineering from the University of Glasgow in 2002. His pursuit of research excellence continued with a PhD in Structural Engineering from Edinburgh Napier University in 2006, focusing on composite insulated beams—a topic that led to a patented innovation. His strong academic background underpins his expertise in structural mechanics, sustainability, and construction technologies. These academic milestones have established him as a thought leader and educator shaping the next generation of civil engineers.

🏗️ Professional Experience

Professor Bahadori-Jahromi has over two decades of experience across academia and industry. He began his academic career as a Research Assistant at Edinburgh Napier University, then moved into industry roles in the UK and New Zealand before returning to academia at the University of West London in 2008. There, he progressed from Lecturer to Professor, also serving as Course Leader and Head of Research Group. He has been instrumental in program accreditation, PhD supervision, and student mentorship. His leadership has expanded the Civil Engineering program significantly, showcasing his dedication to education, applied research, and institutional development.

🏅 Awards and Honors

Professor Bahadori-Jahromi has received numerous accolades, including prestigious awards from The Royal Academy of Engineering and The Royal Society of Edinburgh. He became a Chartered Civil Engineer in 2009 and was elected as a Fellow of the Institution of Civil Engineers in 2015. His innovation on composite insulated beams earned patent recognition, and he was instrumental in securing external grants from prominent organizations such as Hilton Worldwide, Lidl, and CIBSE. His election as Chief Editor of Engineering Future Sustainability and active roles in the Joint Board of Moderators highlight his esteemed standing in both academic and engineering communities.

🔬 Research Focus

Professor Bahadori-Jahromi’s research centers on sustainable construction, AI-driven energy solutions, and climate-resilient infrastructure. He pioneers studies on embodied carbon calculations, life cycle assessments, nearly-zero energy building standards, and retrofitting strategies. He also develops machine learning models to predict building performance and optimize energy use. His innovations in concrete technology and material science include the use of polypropylene in concrete and composite timber joists. By leading the Building Performance and Climate Change group, he has built a research culture that merges theory and real-world impact, contributing to global dialogues on sustainability, construction technology, and environmental performance in buildings.

🧾 Conclusion

Professor Ali Bahadori-Jahromi is a visionary leader in civil engineering education and research, blending academic excellence with practical innovation. His impactful work in sustainability, AI in construction, and engineering education has reshaped built environment studies at the University of West London. Through his publications, supervision, and industry partnerships, he exemplifies the synergy between academia and real-world problem-solving. As an editor, mentor, and innovator, his career stands as a model for aspiring engineers and researchers, continually pushing boundaries to promote a sustainable and resilient future in the built environment.

📚 Top Publications with Notes

  1. A hybrid model-based method for leak detection in large scale water distribution networks
    Journal: Journal of Ambient Intelligence and Humanized Computing, 2021
    Cited by: 68 articles

  2. Impact of Low-E Window Films on Energy Consumption and CO2 Emissions of an Existing UK Hotel Building
    Journal: Sustainability, 2019
    Cited by: 67 articles

  3. Investigating the potential impact of energy-efficient measures for retrofitting existing UK hotels to reach the nearly zero energy building (nZEB) standard
    Journal: Energy Efficiency, 2019
    Cited by: 55 articles

  4. Energy performance and cost analysis for the nZEB retrofit of a typical UK hotel
    Journal: Journal of Building Engineering, 2020
    Cited by: 49 articles

  5. Impact of Window Films on the Overall Energy Consumption of Existing UK Hotel Buildings
    Journal: Sustainability, 2017
    Cited by: 46 articles

  6. The role of embodied carbon databases in the accuracy of life cycle assessment (LCA) calculations for the embodied carbon of buildings
    Journal: Sustainability, 2021
    Cited by: 39 articles

  7. Estimation and validation of energy consumption in UK existing hotel building using dynamic simulation software
    Journal: Sustainability, 2017
    Cited by: 39 articles

  8. On the effect of steel columns cross sectional properties on the behaviours when subjected to blast loading
    Journal: Structural Engineering and Mechanics, 2012
    Cited by: 36 articles

  9. Comparison and evaluation of the potential energy, carbon emissions, and financial impacts from the incorporation of CHP and CCHP systems in existing UK hotel buildings
    Journal: Energies, 2018
    Cited by: 28 articles

  10. Investigating the impacts of a changing climate on the risk of overheating and energy performance for a UK retirement village adapted to the nZEB standards
    Journal: Building Services Engineering Research and Technology, 2019
    Cited by: 27 articles

 

Dr. Tianyi Feng | Monitoring | Best Researcher Award

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Dr. Tianyi Feng | Monitoring | Best Researcher Award

Dr. Tianyi Feng , Post Doc, AVIC General Huanan Aircraft Industry Co., Ltd., China.

Dr. Tianyi Feng is a dedicated postdoctoral researcher at AVIC General Huanan Aircraft Industry Co., Ltd., with a strong foundation in aeronautical engineering. He earned his Ph.D. from Imperial College London, focusing on structural health monitoring in composite materials. His work emphasizes practical innovation and high-impact aerospace applications, particularly in damage detection, localization, and hydrodynamic load testing. Passionate about integrating sensor technologies into aircraft systems, Dr. Feng continues to make notable contributions to the aviation sector. His research strives to enhance safety, resilience, and performance in next-generation aerospace structures through applied scientific advancement.

Publication Profile

Scopus

🎓 Education Background

Tianyi Feng completed his doctoral degree in Aeronautics from the prestigious Imperial College London. His doctoral thesis revolved around the field of Structural Health Monitoring, with a particular emphasis on damage detection in composite laminates using ultrasonic guided waves and embedded PZT transducers. This rigorous academic training laid the groundwork for his innovative approaches in smart sensor integration and non-destructive evaluation techniques. His research combined experimental analysis, materials engineering, and signal processing, equipping him with the expertise necessary for tackling complex structural assessment challenges in advanced aircraft engineering applications.

👨‍💼 Professional Experience

Currently serving as a Postdoctoral Researcher at AVIC General Huanan Aircraft Industry Co., Ltd., Dr. Feng leads work in hydrodynamic load test flight technology for large amphibious aircraft. In his academic phase, he introduced practical innovations in composite health monitoring. Notably, during his doctoral studies, he developed a pioneering edge-cutting technique that preserved embedded circuit integrity post-curing. At AVIC, he designed and optimized a surface-mounted MEMS optical fiber pressure sensor system capable of withstanding high-velocity water impact, exceeding 67.5 m/s. His work bridges theoretical engineering and applied aerospace technology with a focus on real-world problem solving.

🏅 Awards and Honors

Though Dr. Feng’s formal list of awards is currently limited, his innovative contributions have received academic and industry recognition. His advanced design for embedded sensor protection and high-velocity hydrodynamic sensor deployment represents breakthroughs in aircraft structural monitoring. His doctoral research at Imperial College was highly regarded, contributing significantly to international publications in composite health monitoring. As his career progresses, Dr. Feng is poised for honors that recognize his interdisciplinary expertise and contributions to aeronautics. His impactful research is expected to earn future distinctions in aerospace innovation and structural testing excellence.

🔬 Research Focus

Dr. Feng’s research expertise centers around Structural Health Monitoring (SHM) and Hydrodynamic Load Monitoring. His work on composite laminates during his Ph.D. focused on ultrasonic guided waves and PZT sensors for internal damage detection. Transitioning to postdoctoral research, he expanded into large-scale test flight technologies for amphibious aircraft, innovating in surface-mounted pressure sensor design using MEMS optical fibers. His solutions are aimed at improving the integrity and resilience of aerospace structures in extreme environments. His dual focus blends materials science, signal diagnostics, and sensor integration to solve high-stakes challenges in aircraft engineering.

📌 Conclusion

Dr. Tianyi Feng stands out as a promising researcher in aerospace engineering, seamlessly combining academic excellence with industrial application. From innovating edge-cutting techniques in composite materials to advancing hydrodynamic load testing for amphibious aircraft, his work bridges theoretical rigor and real-world problem-solving. His commitment to engineering advancement and safety enhancement underscores his potential as a leading figure in structural diagnostics and flight technologies. With a portfolio of impactful publications and hands-on experience in sensor-based solutions, Dr. Feng is well-positioned to shape the future of intelligent aircraft systems.

📚 Top Publications with Notes

  1. Influence of Composite Thickness on Ultrasonic Guided Wave Propagation for Damage Detection Using Embedded PZT Transducers – Published: 2020, Journal: Sensors (MDPI)
    Cited by 29 articles

  2. Smart Patch for Structural Health Monitoring of Composite Repair – Published: 2020, Journal: Composite Structures
    Cited by 18 articles

  3. Structural Integrity Assessment of Composites Plates with Embedded PZT Transducers for Structural Health Monitoring – Published: 2021, Journal: Engineering Fracture Mechanics
    Cited by 15 articles

  4. Active Health Monitoring of Thick Composite Structures by Embedded and Surface-Mounted Piezo Diagnostic Layers – Published: 2022, Journal: Journal of Intelligent Material Systems and Structures
    Cited by 10 articles

  5. Preparation of robust superhydrophobic coatings with hydrophobic and tough micro/nano particles – Published: 2021, Journal: Applied Surface Science
    Cited by 25 articles

 

Ms. Yin ZiJuan | artificial intelligence | Best Researcher Award

Published on by Computer Scientists Awards

Ms. Yin ZiJuan | artificial intelligence | Best Researcher Award

Ms. Yin ZiJuan, graduate student, Shanghai University of Engineering Science, China.

Yin Zijuan is a dedicated graduate researcher at the School of Materials Science and Engineering, Shanghai University of Engineering Science. She has cultivated a unique interdisciplinary expertise that bridges materials science with artificial intelligence. Her notable work centers around intelligent surface defect detection using deep learning models. Yin gained international recognition for developing the BBW YOLO algorithm, which improves defect detection accuracy in aluminum profile manufacturing. With a passion for integrating AI into industrial applications, Yin exemplifies the new generation of scholars who are redefining engineering research through innovation, precision, and automation.

Publication Profile

Scopus

🎓 Education Background

Yin Zijuan is currently pursuing her graduate studies at the Shanghai University of Engineering Science, within the School of Materials Science and Engineering. Her academic focus lies in fusing materials engineering with advanced computational methods. During her studies, she developed specialized knowledge in deep learning, computer vision, and image processing as they relate to quality control in industrial materials. Her academic journey is marked by excellence, with her research earning publication in reputable international journals. Yin’s education reflects a strong foundation in both traditional materials science and cutting-edge AI methodologies.

🧪 Professional Experience

As a graduate researcher, Yin Zijuan has contributed to high-impact research projects focused on AI-driven defect detection in industrial materials. Her most distinguished project involved the development and implementation of the BBW YOLO algorithm, which blends Bidirectional Feature Pyramid Networks and attention mechanisms for enhanced image recognition. She has collaborated with institutions like Harbin Institute of Technology and participated in interdisciplinary studies that bridge academia and industry. Through her ongoing work, she aims to revolutionize quality assurance processes in manufacturing by deploying real-time and lightweight neural network systems.

🏆 Awards and Honors

Yin Zijuan has earned increasing recognition in the field of intelligent detection systems. Her research achievements culminated in a significant journal publication in Coatings, a Scopus and SCI-indexed journal, in 2025. This milestone established her as a rising scholar with contributions relevant to both academic and industrial domains. Her work on BBW YOLO has been lauded for its innovation, performance efficiency, and potential impact on industrial automation. Yin is also a nominee for prestigious awards including the Best Scholar Award, Outstanding Innovation Award, and Best Paper Award, all reflecting the excellence of her work.

🔬 Research Focus

Yin Zijuan’s research encompasses a wide spectrum of interdisciplinary themes including materials science, deep learning, and computer vision. Her primary focus is on developing intelligent detection algorithms for identifying surface defects in aluminum profiles. She has pioneered the BBW YOLO model, which integrates BiFPN and BiFormer attention mechanisms with a Wise-IoU v3 loss function. Her innovations improve defect detection accuracy while maintaining high processing speeds and model efficiency. Yin’s work supports the evolution of smart manufacturing and industrial automation, positioning her as a key contributor to the fusion of AI and engineering.

📌 Conclusion

Yin Zijuan exemplifies the future of smart materials research through her fusion of artificial intelligence and industrial materials science. Her work is not only academically rigorous but also practically relevant, addressing real-world problems in manufacturing. From algorithmic innovation to high-impact publication and inter-institutional collaboration, she has demonstrated exceptional promise as a research scholar. With her continued contributions, Yin is poised to lead transformative advancements in intelligent quality control systems. She stands as a worthy nominee for multiple academic honors and awards recognizing innovation, research excellence, and scholarly distinction.

📄 Top Publications Notes

  1. BBW YOLO: Intelligent Detection Algorithms for Aluminium Profile Material Surface Defects

  2. Thermal deformation behavior and microstructural evolution of the rapidly-solidified Al–Zn–Mg–Cu alloy in hot isostatic pressing state

 

 

 

 

 

Dr. Wei Zhou | Network Protocols | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Wei Zhou | Network Protocols | Best Researcher Award

Dr. Wei Zhou, Project manager, The 34th Research Institute of China Electronics Technology Group Corporation, China.

Dr. Wei Zhou is a seasoned research professional and manager at the Guangxi Key Laboratory of Optical Network and Optical Information Security, under the 34th Research Institute of China Electronics Technology Group Corporation in Guilin, China. With a robust background in electronic and communication systems, he has dedicated nearly two decades to advancing the fields of optical communication, network protocols, and satellite systems. As a senior engineer and team leader, Dr. Zhou combines his expertise in machine learning and algorithm development to innovate across interdisciplinary domains in information security and next-generation network technologies.

Publication Profile

ORCID

🎓 Education Background

Dr. Wei Zhou earned his bachelor’s degree in Electronic Information Engineering from Chengdu University of Technology in 2005. He completed a master’s degree in Communication and Information System at Guilin University of Electronic Technology in 2013. Furthering his academic pursuit, Dr. Zhou received his doctoral degree in Information and Communication Engineering from the same institution in 2023, focusing on key technologies for long-distance wireless communication. His comprehensive academic foundation has played a critical role in shaping his research trajectory and fueling innovative solutions in advanced network engineering and optical communication security.

💼 Professional Experience

Since 2005, Dr. Wei Zhou has served in various technical roles at the 34th Research Institute of China Electronics Technology Group Corporation. Beginning as an assistant engineer, he progressed through engineer and senior engineer roles across different departments, including digital optical communication and innovation. In July 2023, he became a senior engineer at the Guangxi Key Laboratory of Optical Network and Optical Information Security. Throughout his career, Dr. Zhou has led numerous advanced R&D projects, demonstrating leadership in applied engineering and contributing significantly to China’s scientific and defense communication infrastructure.

🏅 Awards and Honors

While specific awards and honors are not listed in the provided details, Dr. Wei Zhou’s academic and research achievements, including multiple peer-reviewed journal publications and patent contributions, are indicative of high professional recognition in his field. His leadership at a nationally significant research institute, coupled with his doctoral qualification, positions him as a key figure in optical network innovation. His roles and publications suggest internal recognition and trust within his institution, further underscoring his valuable contributions to China’s information and communication technology landscape.

🔬 Research Focus

Dr. Wei Zhou’s research expertise spans several critical areas: network communication protocols, satellite optical networks, machine learning, and algorithm optimization. His work often addresses the challenges of software-defined networking (SDN), quantum-safe optical transport, and integrated satellite-terrestrial systems. He integrates AI techniques, such as reinforcement learning, into network routing optimization for enhanced Quality of Service (QoS). With a focus on securing optical domains through quantum key distribution and exploring new paradigms in integrated computing and communication via satellite, Dr. Zhou’s research bridges cutting-edge innovation and real-world application in secure, scalable network infrastructures.

📌 Conclusion

Dr. Wei Zhou exemplifies a dynamic fusion of academic excellence and professional impact in the realm of network and optical communication technologies. With over 19 years of experience, including key roles in government-affiliated R&D, his contributions span academic publishing, platform development, and technological innovation. As a senior engineer and manager, he continues to lead transformative research in optical networks, secure communication, and SDN integration, underpinned by his expertise in machine learning. Dr. Zhou’s trajectory reflects a strong commitment to shaping the future of secure and intelligent communication systems in China and beyond.

📚 Publications – Top Notes

  1. AQROM: A quality of service aware routing optimization mechanism based on asynchronous advantage actor-critic in software-defined networks
    Journal: Digital Communications and Networks, 2024
    Cited by: 11 articles

  2. Design and implementation of semi-physical platform for label based frame switching in integrated satellite terrestrial networks
    Journal: Applied Sciences, 2022
    Cited by: 23 articles

  3. PQROM: To optimize software defined network QoS-aware routing with proximal policy optimization
    Journal: Journal of Intelligent & Fuzzy Systems, 2022
    Cited by: 18 articles

  4. Research on Key Technologies of Quantum-Safe Metro-Optimized Optical Transport Networks
    Journal: Applied Sciences, 2025
    Cited by: 3 articles

  5. Routing Optimization Algorithm for Integrated Computing and Communication Satellite Based on OISL-OSU
    Journal: Optical Communication Technology, 2024
    Cited by: 7 articles

  6. Research on Key Technologies of M-OTN Optical Domain Encryption Based on Quantum Key Distribution
    Journal: Acta Optica Sinica, 2025
    Cited by: 2 articles

  7. SDH Remote Maintenance Technology Based on Telephone Network MODEM
    Journal: Optical Communication Technology, 2014
    Cited by: 9 articles

  8. An IP Telephony Technology with Switching Function and Variable Rate
    Journal: Optical Communication Technology, 2011
    Cited by: 6 articles

  9. Method for Integrated Networking of SDN Network and Wireless Network – Patent
    Patent: CN112578098A, 2022
    Cited by: 4 patents/articles