Władysław Papacz | Engineering | Research Excellence Award

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Prof. Dr. Władysław Papacz | Engineering | Research Excellence Award

University of Zielona Góra | Poland

Prof. Dr. Władysław Papacz is a researcher affiliated with Uniwersytet Zielonogórski, Poland, specializing in materials engineering, recycling technologies, and sustainable material development. With 10 publications, 27 citations, and an h-index of 3, he has contributed to applied research on the mechanical properties of recycled materials, particularly in transforming industrial cable waste into usable engineering products. His work integrates experimental analysis with sustainability-focused approaches, supporting the advancement of circular economy practices. Collaborating with a network of co-authors, his research holds societal significance by promoting resource efficiency, reducing environmental waste, and contributing to the development of eco-friendly engineering materials and sustainable industrial solutions.

Citation Metrics (Scopus)

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27

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3

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Featured Publications

Kalaimathi B | Artificial Intelligence | Best Researcher Award

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Dr. Kalaimathi B | Artificial Intelligence | Best Researcher Award

Assistant Professor | Sri Ramakrishna Engineering College | India

Dr. Kalaimathi B is an Assistant Professor of Electronics and Communication Engineering with expertise in image processing, artificial intelligence, IoT, and embedded systems. She has authored over 20 research publications in international conferences and journals, achieving 38 citations, an h-index of 4, and an i10-index of 1. Her research focuses on practical innovations in smart transportation, healthcare systems, surveillance, and sustainable technologies. She has demonstrated strong interdisciplinary collaboration through projects involving deep learning, embedded systems, and intelligent automation. Her contributions emphasize real-world impact, including safety, efficiency, and digital transformation, positioning her as a promising researcher in advanced intelligent systems and applied engineering domains.

Citation Metrics

38
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38

h-index

4

i10-index

1

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View Google Scholar Profile View ResearchGate Profile View ORCID Profile

Featured Publications


Efficient Power Generation to Automated Street Lights based on Traffic Density

– 5th International Conference on Computing Methodologies, 2021 | Citations: 12


Patient Monitoring and Medicine Dispenser Robot

– International Conference on Computational Intelligence in Engineering, 2022 | Citations: 9


Automatic Headlight Dimmer using Arduino and LDR Sensor

– Turkish Journal of Computer and Mathematics Education, 2021 | Citations: 7


Raspberry PI Based Intelligent Car Parking System

– Smart Technologies, Communication and Robotics (STCR), 2021 | Citations: 5


Current Comparison based Domino with Clamped Bit-Line Current Amplifier for Wide Fan-In Gates

– International Journal of Computer Applications, 2016 | Citations: 2

Lili Zhan | Artificial Intelligence | Best Researcher Award

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Assoc. Prof. Dr. Lili Zhan | Artificial Intelligence | Best Researcher Award

Associate Professor| Shandong University of Science and Technology | China

Assoc. Prof. Dr. Lili Zhan is a researcher whose work spans remote sensing, Arctic cryosphere monitoring, computer vision, and artificial intelligence–enhanced educational systems. Her scholarship incorporates both physical environmental analysis and advanced data-driven methodologies, with representative contributions including sensitivity analyses of microwave brightness temperature to variations in snow depth on Arctic sea ice, a deep-learning-based remote-sensing scene-classification framework employing EfficientNet-B7, and an improved YOLOv7 instance-segmentation method for ship detection in complex SAR imagery Lili-Zhan. She has also contributed to the design and implementation of intelligent teaching models grounded in contemporary AI and data-centric approaches, demonstrating interdisciplinarity across geospatial sciences and educational technology Lili-Zhan Across these domains, her work reflects a sustained commitment to methodological innovation, integrating state-of-the-art neural architectures with domain-specific challenges in environmental monitoring and maritime situational awareness. Her collaborations often bridge academic research groups focused on cryosphere change, Earth observation, and applied machine learning, enabling the development of tools that support improved climate understanding, maritime safety, and digital-education modernization. Although publication and citation metrics are not specified in the available document, the range of research topics and representative studies indicates a growing scholarly profile with contributions positioned at the intersection of remote-sensing physics and intelligent systems engineering. Collectively, her work holds global societal relevance: enhancing the accuracy of cryospheric measurements supports climate-model improvement and polar-region policy planning; advancing ship-detection techniques contributes to marine governance, environmental protection, and emergency response; and promoting AI-supported pedagogical frameworks aids the digital transformation of education.

Profile: Scopus 

Featured Publications

Zhan, L. (Year). SAR ship target instance segmentation based on SISS-YOLO. Journal Name, Volume(Issue), pages.

Lili Zhan’s work advances the precision of remote-sensing analytics and intelligent detection systems, strengthening global capabilities in environmental monitoring and maritime safety. Her innovations support science-driven decision-making with direct benefits for climate resilience and societal securit

Trong Nhan Nguyen | Artificial Intelligence | Best Researcher Award

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Mr. Trong Nhan Nguyen | Artificial Intelligence | Best Researcher Award

Biomedical Engineering at Pukyong National University, South Korea

Nhan T. Nguyen, a Master’s student at Pukyong National University, is a promising early-career researcher specializing in biomedical engineering, computer vision, and artificial intelligence. His research focuses on non-destructive testing, low-level vision, and automated inspection systems using advanced AI techniques such as GANs, transformers, and diffusion models. Nhan has contributed to multiple peer-reviewed publications in prestigious journals like IEEE Transactions and MDPI Applied Sciences, with additional manuscripts under review and in preparation. His work demonstrates strong practical relevance, with AI models deployed in industrial applications including semiconductor inspection, robotic automation, and smart city infrastructure. He has received several academic honors and awards, reflecting his dedication and innovation. Despite being at the master’s level, he serves as a peer reviewer for international journals and conferences, highlighting his scholarly maturity. With interdisciplinary expertise, a growing publication record, and impactful real-world applications, Nhan is highly suitable for the Best Researcher Award in the early-career category.

Professional Profile 

Education🎓

Nhan T. Nguyen has built a strong educational foundation in engineering and artificial intelligence across reputable institutions in Vietnam and South Korea. He earned his Bachelor of Science degree in Information Technology Engineering from Ho Chi Minh University of Technology, where he was actively involved in undergraduate research and received multiple academic awards and scholarships. During his undergraduate years, he developed projects integrating AI with OCR and chatbot systems. Currently, he is pursuing a Master’s degree in the Industry 4.0 Convergence Bionics Engineering program at Pukyong National University in South Korea under the supervision of Professor Junghwan Oh. His graduate research focuses on non-destructive testing, specifically in scanning acoustic microscopy systems, and applying AI to industrial inspection tasks. Through this academic journey, Nhan has gained in-depth knowledge and hands-on experience in computer vision, machine learning, and robotics, forming a strong educational background that supports his innovative contributions to research and industry applications.

Professional Experience📝

Nhan T. Nguyen has gained diverse professional experience in the fields of artificial intelligence, computer vision, and industrial automation. He served as an AI Engineer at the Artificial Intelligence Center of FPT Software in Vietnam, where he worked on optimizing dehumidification processes for the Chicago Art Museum and enhancing defect detection in steel production using machine learning algorithms. His role involved data analysis, predictive modeling, and AI deployment in real-world environments. He also contributed to a deep learning-based search engine enhancement project for a pharmaceutical retail company. In addition, at FPT Information System’s Smart City Department, he developed camera-based systems for sidewalk encroachment detection, which were integrated into Ho Chi Minh City’s traffic management system. Currently, as a Graduate Research Assistant at Pukyong National University, he is involved in automating weld inspection systems and developing AI models for defect detection in scanning acoustic microscopy. His experience bridges academic research and practical industrial implementation.

Research Interest🔎

Nhan T. Nguyen’s research interests lie at the intersection of artificial intelligence, computer vision, and industrial automation, with a particular focus on low-level vision tasks and non-destructive testing. He is passionate about developing advanced AI models such as Generative Adversarial Networks (GANs), transformers, and diffusion models for applications in image restoration, super-resolution, and defect detection. His work emphasizes enhancing the performance and reliability of automated inspection systems used in semiconductor manufacturing, steel production, and other industrial settings. Nhan is also interested in integrating AI with robotic systems, using tools like 3D scanners, lasers, and cameras to automate surface inspection processes. Additionally, he explores exploratory data analysis across multiple domains, including medical, environmental, and industrial datasets. His goal is to bridge the gap between theoretical research and practical implementation, contributing to more intelligent, accurate, and efficient inspection and monitoring systems in smart manufacturing and biomedical engineering environments.

Award and Honor🏆

Nhan T. Nguyen has received numerous awards and honors in recognition of his academic excellence, innovative research, and technical achievements. He was awarded a scholarship by Pukyong National University in 2023 for his outstanding performance as a graduate student. During his undergraduate studies at Ho Chi Minh University of Technology, he received the prestigious KMS Technology Scholarship in 2022, as well as the City Now Company Scholarship and the Impressive Award in the HUTECT Start-up Wing competition in 2021. He also earned a Consolation Prize in the university’s AI Hackathon in 2020 and was recognized for his undergraduate research contributions. Nhan consistently demonstrated academic excellence, earning the Outstanding Undergraduate Student Scholarship in 2018. These honors reflect his dedication to research, creativity in problem-solving, and strong commitment to applying AI technologies to real-world challenges. His consistent recognition throughout his academic career underscores his potential as a leading researcher in his field.

Research Skill🔬

Nhan T. Nguyen possesses a robust set of research skills that span artificial intelligence, computer vision, and industrial automation. He is highly proficient in data processing, exploratory data analysis, and model development using Python and advanced machine learning frameworks. His expertise includes designing and implementing deep learning models, particularly using Generative Adversarial Networks (GANs), transformers, and diffusion models for image super-resolution, denoising, and defect detection. Nhan is skilled in integrating AI models with hardware systems such as robotic arms, 3D scanners, lasers, and industrial cameras to build intelligent inspection systems. He has hands-on experience with non-destructive testing methods, particularly scanning acoustic microscopy, and is adept at handling real-world industrial datasets. Additionally, Nhan is capable of deploying AI solutions into operational environments, enhancing automation processes in sectors like semiconductor manufacturing, smart cities, and healthcare. His ability to bridge theoretical models with practical applications showcases his strong technical and problem-solving capabilities as a researcher.

Conclusion💡

Nhan T. Nguyen demonstrates exceptional promise and proven capability in applied AI and biomedical inspection research, with practical impact, strong publications, and academic service. For a master’s-level researcher, this profile is outstanding.

Publications Top Noted✍️

📄 1. GAN-Based Super-Resolution in Linear R-SAM Imaging for Enhanced Non-Destructive Semiconductor Measurement

  • Authors: Thi Thu Ha Vu, Tan Hung Vo, Trong Nhan Nguyen, Jaeyeop Choi, Le Hai Tran, Vu Hoang Minh Doan, Van Bang Nguyen, Wonjo Lee, Sudip Mondal, Junghwan Oh

  • Year: 2025

  • Citation (DOI): 10.3390/app15126780

  • Source: Applied Sciences, Published on June 17, 2025

📄 2. Transformer-Based Super-Resolution Scanning Acoustic Imaging for Industrial Inspection

  • Authors: Trong Nhan Nguyen, Vu Hoang Minh Doan, Tan Hung Vo, Jaeyeop Choi, Junghwan Oh

  • Year: 2025

  • Citation (DOI): 10.1109/icit63637.2025.10965207

  • Source: 2025 IEEE International Conference on Industrial Technology (ICIT), Published on March 26, 2025

📄 3. Optimizing Scanning Acoustic Tomography Image Segmentation With Segment Anything Model for Semiconductor Devices

  • Authors: Thi Thu Ha Vu, Tan Hung Vo, Trong Nhan Nguyen, Jaeyeop Choi, Sudip Mondal, Junghwan Oh

  • Year: 2024

  • Citation (DOI): 10.1109/TSM.2024.3444850

  • Source: IEEE Transactions on Semiconductor Manufacturing, Published in November 2024

Nalini Manogara | Artificial Intelligence | Best Academic Researcher Award

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Dr. Nalini Manogara | Artificial Intelligence |  Best Academic Researcher Award

Associate Professor  at S.A. Engineering College, India

Dr. M. Nalini is a distinguished academician with over 14 years of teaching and research experience in Computer Science and Engineering. Currently serving as an Associate Professor, she has demonstrated excellence in academia through her impactful publications in high-ranking SCI and Scopus-indexed journals, focusing on areas like wireless sensor networks, cloud healthcare systems, and network security. Dr. Nalini has received several prestigious awards, including the Best Research Award (2019) and Academic Excellence Award (2024). She has actively contributed to academic leadership by organizing symposiums, FDPs, and conferences, while also mentoring Ph.D. scholars and engineering students. A recipient of multiple IEEE-sponsored grants, she is an active member of several professional bodies such as IEEE, ISTE, and ACM. Her commitment to academic growth, curriculum development, and research funding showcases her dedication to advancing education and technology. Dr. Nalini is a highly deserving candidate for the Best Academic Researcher Award.

Professional Profile 

Education🎓

Dr. M. Nalini has a strong academic foundation in Computer Science and Engineering, marked by consistent academic excellence throughout her educational journey. She earned her Ph.D. in Computer Science and Engineering from St. Peter’s Institute of Higher Education and Research in 2018, where she conducted research on efficient anomaly detection and data redundancy elimination. Prior to that, she completed her M.Tech in Computer Science and Engineering from B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, in 2012 with an impressive CGPA of 9.1, securing the University’s third rank. Her undergraduate studies were completed at V.P.M.M. College for Women, affiliated with Anna University, where she received a B.E. in Computer Science and Engineering in 2010. She also demonstrated academic excellence in her school years, securing 91% in SSLC and 73.42% in HSC. In 2024, she further enriched her academic credentials by completing a Post-Doctoral Fellowship, expanding her research expertise.

Professional Experience📝

Dr. M. Nalini brings over 14 years of diverse professional experience in academia and industry, showcasing a progressive career in teaching, research, and leadership. She began her academic journey as a Lecturer at Sakthi Mariamman Engineering College (2010–2012), followed by roles as Assistant Professor at RVS Padhmavathy College and Sri Nandhanam College of Engineering and Technology, where she contributed to academic excellence and student mentoring. In 2018, she gained valuable industry exposure as a Software Trainee at J.J. Automation Pvt. Ltd., enriching her practical understanding of technology. She then served as Assistant Professor at Saveetha School of Engineering until mid-2022, where she was actively involved in research and faculty development programs. Currently, she is an Associate Professor at S.A. Engineering College, where she leads academic initiatives, mentors Ph.D. scholars, and coordinates national and international academic events. Her well-rounded experience highlights her dedication to both academic advancement and professional excellence.

Research Interest🔎

Dr. M. Nalini’s research interests lie at the intersection of advanced computing technologies and real-world applications, with a strong focus on data mining, machine learning, wireless sensor networks, and network security. Her scholarly work explores intelligent systems capable of detecting anomalies, optimizing data storage, and enhancing communication protocols, particularly in the context of large-scale data environments. She has conducted extensive research on intrusion detection systems, cloud-based healthcare applications, and AI-driven behavioral prediction models, contributing significantly to the fields of cybersecurity and smart computing. Dr. Nalini is also deeply interested in emerging areas such as explainable artificial intelligence (XAI), Internet of Things (IoT), and edge computing. Her projects emphasize both theoretical frameworks and practical implementation, aimed at developing scalable and efficient solutions for complex problems. Through her research, she aims to bridge the gap between academic innovation and industrial application, fostering technological advancement and societal impact.

Award and Honor🏆

Dr. M. Nalini has been widely recognized for her academic excellence and impactful contributions to research and education. She received the prestigious Best Research Award in 2019 from the International Association for Science and Technical Education (IASTE), acknowledging her innovative work in computer science. In 2020, she was honored with the Best Women Faculty Award by the Amaravathi Research Academy’s Faculty Excellence Awards, highlighting her dedication to teaching and mentoring. Most recently, she earned the Academic Excellence Award in 2024 from the Association of Intellectual Professionals (AIP), a testament to her consistent academic performance and leadership in scholarly activities. In addition, she has served as a resource person in ATAL Faculty Development Programs, completed multiple certifications including NPTEL courses, and has received significant funding and sponsorships for technical events and faculty development initiatives from reputed bodies such as IEEE, ACM, and CSI. These accolades reflect her outstanding professional achievements and leadership in academia.

Research Skill🔬

Dr. M. Nalini possesses a robust set of research skills that reflect her deep expertise in computer science and engineering. Her proficiency spans key domains such as data mining, machine learning, artificial intelligence, cloud computing, and network security. She is skilled in developing innovative algorithms for intrusion detection, anomaly detection, and data deduplication, with proven results published in SCI and Scopus-indexed journals. Dr. Nalini is adept at using various programming languages including C, C++, Java, and tools like XML, HTML, and PHP for web-based applications. Her ability to conduct high-quality empirical research, design complex experimental setups, and apply optimization models to real-world challenges demonstrates her analytical depth. She is also experienced in guiding Ph.D., M.Tech, and B.E. students in research projects, helping them translate ideas into tangible outcomes. With strong writing, critical thinking, and technical documentation skills, Dr. Nalini effectively communicates her findings to both academic and professional communities.

Conclusion💡

Dr. M. Nalini possesses the scholarly depth, leadership, technical expertise, and academic service credentials to deserve strong consideration for the Best Academic Researcher Award. Her consistent record of research, publication in reputed journals, mentoring roles, academic event leadership, and recognized contributions to the academic community affirm her excellence in academia.

Publications Top Noted✍️

  1. An efficient cloud‐based healthcare services paradigm for chronic kidney disease prediction application using boosted support vector machine

    • Authors: J. Aswini, B. Yamini, R. Jatothu, K.S. Nayaki, M. Nalini

    • Year: 2022

    • Citations: 57

  2. Characterization of Rubia cordifolia L. root extract and its evaluation of cardioprotective effect in Wistar rat model

    • Authors: B.S. Chandrashekar, S. Prabhakara, T. Mohan, D. Shabeer, B. Bhandare, et al.

    • Year: 2018

    • Citations: 56

  3. Energy-efficient cluster-based routing protocol for WSN based on hybrid BSO–TLBO optimization model

    • Authors: K. Krishnan, B. Yamini, W.M. Alenazy, M. Nalini

    • Year: 2021

    • Citations: 51

  4. A comprehensive survey on Naive Bayes algorithm: Advantages, limitations and applications

    • Authors: P.J.B. Pajila, B.G. Sheena, A. Gayathri, J. Aswini, M. Nalini

    • Year: 2023

    • Citations: 26

  5. Opportunities for improving crop water productivity through genetic enhancement of dryland crops

    • Authors: C.L.L. Gowda, R. Serraj, G. Srinivasan, Y.S. Chauhan, B.V.S. Reddy, K.N. Rai, et al.

    • Year: 2009

    • Citations: 25

  6. Predictive modelling for lung cancer detection using machine learning techniques

    • Authors: B. Yamini, K. Sudha, M. Nalini, G. Kavitha, R.S. Subramanian, R. Sugumar

    • Year: 2023

    • Citations: 22

  7. AI and IoT applications in medical domain enhancing healthcare through technology integration

    • Authors: K. Sudha, C. Ambhika, B. Maheswari, P. Girija, M. Nalini

    • Year: 2023

    • Citations: 19

  8. Energy harvesting and management from ambient RF radiation

    • Authors: M. Nalini, J.V.N. Kumar, R.M. Kumar, M. Vignesh

    • Year: 2017

    • Citations: 18

  9. Accuracy Analysis for Logistic Regression Algorithm and Random Forest Algorithm to Detect Frauds in Mobile Money Transaction

    • Authors: G.M. Kumar, M. Nalini

    • Year: 2021

    • Citations: 11

  10. Anomaly Detection Via Eliminating Data Redundancy and Rectifying Data Error in Uncertain Data Streams

  • Authors: S.A. M. Nalini

  • Year: 2014

  • Citations: 11

Wallelign Mulugeta Nebiyu | Engineering | Best Researcher Award

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Mr. Wallelign Mulugeta Nebiyu | Engineering | Best Researcher Award

Lecturer at Bahir Dar University, Ethiopia

Wallelign Mulugeta Nebiyu is a dedicated civil engineer, researcher, and lecturer at Bahir Dar University with expertise in sustainability, recycling, and construction technology. He holds a Master’s degree in Civil Engineering and has published research in reputable journals like Springer. His academic contributions include mentoring students, presenting at international conferences, and engaging in community service projects. Certified in BIM Architecture and Project Management, he possesses strong technical skills in engineering software. As a member of the Ethiopian Civil Engineering Association, he actively contributes to his field. However, his limited research publications, need for improved English proficiency, and lack of research funding present areas for growth. Strengthening his global collaborations, securing research grants, and increasing his publication volume would enhance his competitiveness. While he is a promising candidate for the Best Researcher Award, further research impact and interdisciplinary collaboration would solidify his position as a top contender.

Professional Profile 

Education🎓

Wallelign Mulugeta Nebiyu holds a Master of Science in Civil Engineering (Construction Technology and Management) from Bahir Dar University, where he also earned his Bachelor of Science in Civil Engineering. His academic journey is complemented by a Higher Diploma as a Certified Professional Teacher Educator, enhancing his teaching capabilities. He has further strengthened his expertise through specialized training in Building Information Modeling (BIM) Architecture and Project Management, both obtained from Bahir Dar University. Additionally, he has participated in an international training workshop on the Chinese construction industry at Zhejiang College of Construction and completed a Foundation of Project Management course from Florida University Southeast. His continuous pursuit of education and professional development underscores his commitment to innovation and excellence in civil engineering. These qualifications, along with his technical proficiency in engineering software, position him as a knowledgeable and skilled academic and researcher in construction technology and sustainable engineering practices.

Professional Experience 📝

Wallelign Mulugeta Nebiyu has extensive professional experience in academia and research. He is currently a lecturer at Bahir Dar University, where he teaches undergraduate students, co-advises master’s students, and engages in research and community service projects. Previously, he served as an assistant lecturer at the same university, contributing to curriculum development and student mentorship. His leadership skills are reflected in his role as Chair Holder for Construction Technology and Management. Beyond teaching, he has participated in community service initiatives, such as preparing a Bill of Quantities (BoQ) document for the Amhara regional environmental protection office. His expertise extends to project management, as evidenced by his certifications in BIM Architecture and Project Management. Additionally, he has presented research at international conferences and contributed to sustainability-focused studies. With a strong foundation in civil engineering and construction management, he continues to advance knowledge in the field through research, teaching, and professional collaborations.

Research Interest🔎

Wallelign Mulugeta Nebiyu’s research interests focus on sustainability, recycling, and advanced construction technologies. His work explores innovative solutions for sustainable infrastructure, particularly in the reuse of construction materials, green building practices, and the application of BIM technology in construction management. He has conducted studies on recycled aggregate concrete and the influence of steel slag as a partial replacement in reinforced concrete, contributing to the development of eco-friendly building materials. His passion for sustainability aligns with global efforts to reduce construction waste and improve material efficiency. Additionally, he is interested in digital transformation in construction, emphasizing the role of BIM in optimizing project management and execution. Through his research, he aims to enhance structural performance while promoting environmental responsibility. By expanding his interdisciplinary collaborations and securing research funding, he seeks to make a greater impact in the fields of construction technology, materials engineering, and sustainable development.

Award and Honor🏆

Wallelign Mulugeta Nebiyu has received recognition for his contributions to civil engineering and research. His most notable achievement includes publishing in reputable journals such as Springer, reflecting his commitment to advancing knowledge in construction technology and sustainability. Additionally, he has been entrusted with leadership roles, such as Chair Holder for Construction Technology and Management at Bahir Dar University, demonstrating his influence in academia. He has also been invited to present his research at international conferences, including the International Conference on Advances of Science and Technology, where he shared his findings on recycled aggregate concrete. His certifications in BIM Architecture and Project Management further highlight his dedication to professional development. While he has gained recognition within his academic and professional community, securing additional research grants, winning prestigious research awards, and expanding his international collaborations would further strengthen his profile. His growing impact in sustainable construction research positions him as a promising candidate for future accolades.

Research Skill🔬

Wallelign Mulugeta Nebiyu possesses strong research skills in civil engineering, particularly in sustainability, recycling, and construction technology. He has expertise in experimental research, data analysis, and the application of advanced construction materials, as demonstrated by his studies on recycled aggregate concrete and steel slag in reinforced concrete. His ability to conduct in-depth investigations and publish in reputable journals, such as Springer, showcases his proficiency in academic writing and scientific communication. Additionally, his experience in Building Information Modeling (BIM) enhances his capability to integrate digital technologies into construction research. He has presented his findings at international conferences, reflecting his ability to engage with the global research community. While he has a solid foundation in research methodologies, improving his English proficiency and securing external research funding could further strengthen his contributions. By expanding his interdisciplinary collaborations, he can enhance the impact of his work in sustainable construction and digital engineering.

Conclusion💡

Wallelign Mulugeta Nebiyu is a promising researcher with a strong foundation in civil engineering, sustainability, and construction technology. His contributions to teaching, research, and community service make him a good candidate for the Best Researcher Award. However, to enhance his competitiveness, he should focus on increasing his research output, securing research funding, improving English proficiency, and expanding interdisciplinary collaborations. If the award criteria prioritize research impact and publication volume, he may need more high-impact research contributions to be a strong contender.

Publications Top Noted✍️

  • Title: Influence of Steel Slag as a Partial Replacement of Aggregate on Performance of Reinforced Concrete Beam
    Authors: TB Mekonen, TE Alene, YA Alem, WM Nebiyu
    Year: 2024
    Citations: 2

  • Title: Experimental Study of Recycled Aggregate Concrete Produced from Recycled Fine Aggregate
    Authors: WM Nebiyu, DA Nuramo, AF Ketema
    Year: 2022
    Citations: 2

  • Title: Partial Replacement of Sand with Recycled Concrete Fine Aggregate and Steel Slag in Cement Mortar
    Authors: WT Tsega, MD Yehualaw, BW Yifru, WM Nebiyu, Muluken Zegeye Getie, Kibret Mequanint, Molla Asmare Alemu, Getinet Yenealem
    Year: (Not specified)
    Citations: (Not available)

Lubo Tang | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Dr. Lubo Tang | Engineering | Best Researcher Award

Dr. at Central South University, China

Dr. Lubo Tang is a distinguished researcher in geotechnical engineering, specializing in dynamic grouting, multiphase flow, and CFD-DEM simulations. Currently a Ph.D. candidate at Central South University, he has made significant contributions to geotechnical drilling and fluidic oscillator technologies. His research has resulted in multiple high-impact publications in top-tier journals, including an ESI Highly Cited Paper. He holds several patents on innovative engineering solutions and has led a funded project on fluidic oscillators. Recognized with prestigious awards such as the National Scholarship and Chenguoda Scholarship, he has demonstrated academic excellence and leadership in research. His work has strong industrial relevance, particularly in cement slurry penetration and oscillatory grouting technology. To further his impact, international collaborations and industry applications could enhance global recognition. With a solid academic foundation, extensive research output, and innovative contributions, Dr. Tang stands out as a leading researcher in geotechnical engineering.

Professional Profile 

Education

Dr. Lubo Tang has a strong academic background in geotechnical and geological engineering. He is currently pursuing a Ph.D. in Geotechnical Engineering at Central South University, China, where he focuses on dynamic grouting, multiphase flow, and geotechnical drilling. Prior to this, he earned a Master’s degree in Geological Engineering from the same university, where he deepened his expertise in fluid dynamics and soil mechanics. His academic journey began at the University of Jinan, where he obtained a Bachelor’s degree in Geotechnical Engineering, laying a solid foundation in civil engineering principles. Throughout his education, Dr. Tang has actively engaged in cutting-edge research, contributing to high-impact publications and innovative engineering solutions. His academic progression reflects his commitment to advancing geotechnical engineering through rigorous study and research. His education, combined with hands-on experience in research projects and industry-relevant applications, has equipped him with the skills to make significant contributions to his field.

Professional Experience

Dr. Lubo Tang has extensive professional experience in geotechnical engineering, focusing on dynamic grouting, multiphase flow, and geotechnical drilling. As a Ph.D. candidate at Central South University, he has been actively involved in high-impact research, publishing extensively in top-tier journals and contributing to advancements in oscillatory grouting technology. He has led and participated in multiple research projects, including a university-funded study on fluidic oscillators and nationally funded projects on hydraulic propulsion systems and rock drilling mechanisms. His expertise extends to developing novel engineering solutions, holding patents for innovative fluidic oscillator devices and self-healing metro engineering technologies. Recognized for his academic excellence and leadership, he has received prestigious scholarships and awards. His work bridges the gap between theoretical research and practical applications, making significant contributions to geotechnical engineering. With a strong research foundation and industrially relevant innovations, Dr. Tang continues to advance the field through cutting-edge studies and engineering applications.

Research Interest

Dr. Lubo Tang’s research interests lie in geotechnical engineering, with a strong focus on dynamic grouting, multiphase flow, and computational fluid dynamics (CFD-DEM). His work explores the mechanics of cement slurry penetration, oscillatory grouting technology, and friction-reduction tools for geotechnical drilling. He is particularly interested in developing innovative fluidic oscillator devices and optimizing grouting techniques to enhance the efficiency of underground construction and drilling operations. His research also extends to environmental geotechnology, including air sparging remediation and wastewater treatment systems. By combining numerical simulations with experimental studies, Dr. Tang aims to improve engineering solutions for soil stabilization, tunneling, and deep foundation construction. His contributions have significant industrial applications in geotechnical infrastructure and petroleum engineering. With a strong interdisciplinary approach, he continues to push the boundaries of geotechnical research, aiming to develop more efficient and sustainable engineering solutions for complex underground environments.

Award and Honor

Dr. Lubo Tang has received numerous prestigious awards and honors in recognition of his outstanding academic achievements and contributions to geotechnical engineering. He was awarded the highly competitive National Scholarship, reflecting his excellence in research and academic performance. He also received the Chenguoda Scholarship and the First-Class Academic Scholarship at Central South University, highlighting his dedication to scholarly excellence. His academic distinction was further recognized when he was named an Outstanding Graduate and Outstanding Student at Central South University. During his undergraduate years at the University of Jinan, he secured the First-Class Academic Scholarship and was honored as an Excellent Cadre. Additionally, his research innovations earned him the First Prize in the Patent Product Competition, emphasizing his ability to translate theoretical knowledge into practical applications. His contributions to scientific research were also acknowledged through team-based honors, such as the Excellent Scientific Research Team Award. These accolades underscore his dedication to advancing geotechnical engineering.

Research Skill

Dr. Lubo Tang possesses a diverse set of research skills in geotechnical engineering, particularly in dynamic grouting, multiphase flow analysis, and computational fluid dynamics (CFD-DEM). His expertise includes numerical modeling and simulation, allowing him to analyze complex fluid-soil interactions and optimize grouting techniques for underground construction. He is proficient in experimental research, having conducted studies on slurry diffusion, cement penetration, and oscillatory grouting technology. Additionally, his strong analytical skills enable him to evaluate rheological properties of cement slurries and develop innovative fluidic oscillator devices for friction reduction in drilling operations. Dr. Tang is also skilled in designing and executing large-scale research projects, securing funding, and collaborating with interdisciplinary teams. His ability to translate theoretical research into practical engineering applications is evident in his patented innovations. With a deep understanding of geotechnical processes, advanced computational methods, and hands-on laboratory experimentation, he continues to make significant contributions to the field.

Conclusion

Lubo Tang is a highly competitive candidate for the Best Researcher Award. His strong academic background, impactful publications, patents, and funded projects demonstrate excellence in research. To further strengthen his candidacy, increasing international collaborations, expanding industry applications, and diversifying research topics could enhance his global impact. Overall, he is a well-deserving nominee for the award.

Publications Top Noted

  • Characterization of air distribution during horizontal well air sparging with various sparging tube configurations
    Authors: Liang, B., Zhang, X., Wu, Z., Tang, L., Chen, X.
    Year: 2024
    Journal: Journal of Cleaner Production
    Citations: 1

  • Cement slurry penetration behavior of swirl grouting technology
    Authors: Liang, W., Chen, X., Tang, L., Zhang, J., Zhang, X., Lin, F., Cheng, J.
    Year: 2024
    Journal: Physics of Fluids

Jian Liu | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Assoc. Prof. Dr. Jian Liu | Engineering | Best Researcher Award

Deputy Director of the Department at Tiangong University, China

Assoc. Prof. Dr. Jian Liu is a senior experimentalist and Master’s Supervisor at Tiangong University, specializing in ultra-fine fiber preparation, textile machinery design, and automation. With a PhD in Mechanical Design and Theory, he has led and contributed to six major research projects, including those funded by the National Natural Science Foundation of China and the National Development and Reform Commission. Dr. Liu has played a key role in 13 horizontal projects and four new product developments for enterprises. His innovative contributions are evident in his 11 national invention patents, multiple utility model and appearance patents, and software copyrights. As a prolific researcher, he has published over 20 scientific papers as the first author. Beyond research, he actively mentors students and advances engineering education. With a strong track record in applied research and industry collaboration, Dr. Liu continues to make significant contributions to mechanical engineering and automation.

Professional Profile 

Education

Assoc. Prof. Dr. Jian Liu has a strong academic background in mechanical engineering. He earned his Bachelor of Engineering degree in Mechanical Design, Manufacturing, and Automation from the School of Mechanical Engineering at Shandong University of Technology in 2007. Continuing his education at the same institution, he obtained a Master’s degree in Mechanical and Electronic Engineering in 2010. Driven by a passion for research and innovation, he pursued a PhD in Mechanical Design and Theory at Tiangong University, completing his doctoral studies in 2019. His academic journey reflects a continuous commitment to advancing his expertise in mechanical engineering, particularly in design, automation, and manufacturing technologies. Through his higher education and research, Dr. Liu has developed a strong foundation that supports his contributions to both academia and industry, playing a crucial role in advancing new technologies and mentoring the next generation of engineers.

Professional Experience

Assoc. Prof. Dr. Jian Liu has extensive professional experience in mechanical engineering education and research. He began his career as a teaching assistant at the Engineering Teaching Internship Training Center of Tiangong University in 2010. In 2013, he was promoted to lecturer, further strengthening his role in academia. After earning his PhD in 2019, he continued his career as an experimentalist at the same institution, where he contributed to hands-on engineering education and research. In 2020, he was appointed as a senior experimentalist, overseeing advanced experimental research and training. With over a decade of experience, Dr. Liu has been actively involved in mentoring students, leading research projects, and contributing to industrial innovation. His expertise in ultra-fine fiber preparation, textile machinery design, and automation has made him a key figure in bridging academic research with real-world applications, enhancing both educational and technological advancements in his field.

Research Interest

Assoc. Prof. Dr. Jian Liu’s research interests lie in the fields of ultra-fine fiber preparation technology, textile machinery design, and automation. His work focuses on developing innovative techniques for producing high-performance fibers with enhanced properties for various industrial applications. He is also deeply involved in the design and optimization of advanced textile machinery, aiming to improve manufacturing efficiency and precision. Additionally, Dr. Liu explores automation technologies to enhance production processes, integrating smart control systems and intelligent manufacturing techniques. His research contributions extend beyond theoretical studies, as he actively collaborates with industry partners to develop cutting-edge solutions for modern textile and mechanical engineering challenges. With numerous patents and publications, Dr. Liu continues to push the boundaries of mechanical design, automation, and material science, striving to bridge the gap between research and practical application in the evolving landscape of engineering and manufacturing.

Award and Honor

You haven’t mentioned specific awards and honors in your resume. However, based on your research contributions, patents, and publications, you may have received recognitions that can strengthen your profile. If you have received awards for research excellence, innovation, patents, or teaching achievements, highlighting them would enhance your candidacy for honors like the Best Researcher Award.If you provide details on any grants, fellowships, best paper awards, innovation prizes, or academic honors, I can craft a precise and compelling paragraph

Research Skill

Assoc. Prof. Dr. Jian Liu possesses strong research skills in mechanical engineering, specializing in ultra-fine fiber preparation, textile machinery design, and automation. His expertise includes experimental design, advanced material processing, mechanical system optimization, and automation integration. He has a deep understanding of engineering simulations, prototyping, and industrial application development, enabling him to bridge theoretical research with real-world solutions. Dr. Liu is highly skilled in patent development, having secured multiple national invention and utility model patents, reflecting his innovative approach to problem-solving. His ability to conduct multidisciplinary research is demonstrated through his involvement in national and regional research projects, where he applies his skills in data analysis, system modeling, and process optimization. Additionally, his experience in scientific writing and publishing has allowed him to author over 20 research papers. With a strong foundation in mechanical design and automation, Dr. Liu continues to drive innovation in engineering research.

Conclusion

Your strong research background, patent portfolio, and industry collaborations make you a competitive candidate for the Best Researcher Award. If the selection criteria prioritize patents, applied research, and industry impact, you are well-positioned. However, strengthening your international presence and independent funding leadership could further elevate your profile.

Publications Top Noted

  • Author(s): P. Wang, B. Wang, L. Zhao, L. Nie, J. Liu
  • Year: 2025
  • Title: Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone
  • Journal: Journal of Electronic Materials
  • Citation Format (APA):
    Wang, P., Wang, B., Zhao, L., Nie, L., & Liu, J. (2025). Effects of crystal growth rate on convection and heat transfer during GaInSb THM and VBM crystal growths considering the mushy zone. Journal of Electronic Materials.
  • Citation Format (IEEE):
    P. Wang, B. Wang, L. Zhao, L. Nie, and J. Liu, “Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone,” J. Electron. Mater., 2025.
  • Citation Format (Harvard):
    Wang, P., Wang, B., Zhao, L., Nie, L. and Liu, J. (2025) ‘Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone’, Journal of Electronic Materials.

 

Azhar Ali | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Dr. Azhar Ali | Engineering | Best Researcher Award

Researcher at Dalian university of technology,China

Dr. Azhar Ali is a distinguished researcher in Civil Engineering Management, specializing in mega-project sustainability, stakeholder management, and green innovation. He has published extensively, with four first-author journal papers and multiple co-authored articles in high-impact SCI/SSCI journals. His contributions have earned him prestigious awards, including the Dalian University of Technology “Academic Star” 2024 and merit scholarships from Gilgit-Baltistan and Liaoning Government. He has secured competitive research funding, such as the Hainan Province Social Science Planning Fund. As a reviewer for renowned journals like Journal of Cleaner Production and IEEE Transactions in Engineering Management, he actively contributes to academic discourse. Beyond research, Dr. Ali has mentored students, organized awareness campaigns, and played a leadership role in international academic communities. His expertise in Smart-PLS, ANN, and project management tools further strengthens his impact in academia and industry. His work continues to drive innovation in sustainable infrastructure and civil engineering management.

Professional Profile 

Education

Dr. Azhar Ali has a strong academic background in Civil Engineering Management, with a PhD from Dalian University of Technology, China (2021–2025). Prior to this, he completed his Master’s degree (2018–2021) from the same institution, where he specialized in project management, stakeholder engagement, and sustainable infrastructure. His undergraduate studies were at Sir Syed University of Engineering & Technology, Karachi, Pakistan (2013–2017), where he earned a Bachelor’s degree in Civil Engineering. Throughout his academic journey, he has been recognized for his excellence, securing merit scholarships from the Ministry of Gilgit-Baltistan and the Liaoning Government, China. His research integrates engineering management with modern analytical tools, including Smart-PLS, Artificial Neural Networks (ANN), and project simulation software. With a commitment to academic excellence and innovation, Dr. Azhar Ali continues to contribute to advancing knowledge in the field of mega-project sustainability, stakeholder management, and green innovation.

Professional Experience

Dr. Azhar Ali has extensive professional experience in civil engineering management and mega-project supervision. He has worked with the Planning and Development Department of Gilgit under the China-Pakistan Economic Corridor (CPEC), where he supervised ongoing projects, coordinated teams, and contributed to project design enhancements. Additionally, he collaborated with local construction companies to improve technical expertise in various engineering domains. His experience also includes working with Firdous Ahmed Govt. Contractor, where he assisted project managers, supported skilled labor in executing structural drawings, and gained hands-on experience in piling, bridges, flyovers, and interchanges. Dr. Ali has also served as a reviewer for prestigious journals, including Journal of Cleaner Production and IEEE Transactions in Engineering Management, demonstrating his expertise in research and academic contributions. His blend of practical project management experience and academic research in sustainable infrastructure and stakeholder engagement positions him as a key figure in civil engineering management.

Research Interest

Dr. Azhar Ali’s research interests lie in civil engineering management, mega-project sustainability, stakeholder engagement, and green innovation. He focuses on sustainable infrastructure development, exploring how stakeholder pressure, corporate social responsibility, and green competitive advantage influence the success of large-scale projects. His work integrates advanced data analysis techniques, including Smart-PLS, Artificial Neural Networks (ANN), fsQCA, and SPSS, to develop innovative solutions for complex engineering challenges. Dr. Ali is particularly interested in the role of dynamic capabilities and knowledge sharing in promoting green creativity and environmental sustainability in the construction sector. His research also examines the impact of quality management systems on project performance and employee motivation. Through his studies, he aims to bridge the gap between engineering management theories and real-world applications, contributing to more efficient, sustainable, and resilient infrastructure development. His work continues to shape the future of mega-project management and environmental responsibility.

Award and Honor

Dr. Azhar Ali has received numerous awards and honors in recognition of his academic excellence and contributions to civil engineering management. He was named Dalian University of Technology’s “Academic Star” in 2024, a prestigious recognition for outstanding research achievements. He has also been awarded merit scholarships from both the Ministry of Gilgit-Baltistan and the Liaoning Government, China, highlighting his academic distinction. Beyond his research accolades, Dr. Ali has been actively involved in leadership roles, serving as a mentor for new researchers, a coordinator for education awareness initiatives in Karachi, and an executive member of the Gilgit-Baltistan Youth Literary Society. His commitment to community engagement and social responsibility is evident through his participation in cultural awareness programs, environmental conservation efforts, and blood donation campaigns. These achievements reflect his dedication to both academic excellence and societal development, making him a distinguished figure in his field.

Research Skill

Dr. Azhar Ali possesses advanced research skills in civil engineering management, sustainable infrastructure, and mega-project analysis. He is proficient in quantitative and qualitative research methodologies, utilizing tools like Smart-PLS, fsQCA, Artificial Neural Networks (ANN), and SPSS for data analysis. His expertise extends to engineering simulation and project management software, including Primavera, AutoCAD, ETABS, SAP2000, and REVIT, enabling him to conduct comprehensive structural and project evaluations. Dr. Ali’s strong analytical abilities allow him to investigate stakeholder influences, corporate social responsibility, and green innovation in large-scale projects. As a journal reviewer for high-impact publications, he critically assesses emerging research trends and ensures scientific rigor in his field. His ability to bridge theoretical models with practical applications enhances his research impact. Through his multidisciplinary approach, Dr. Ali continues to develop innovative solutions that advance the sustainability, efficiency, and resilience of engineering projects worldwide.

Conclusion

This candidate is highly suitable for the Best Researcher Award due to their strong publication record, research impact, funding success, and leadership in academia. With further contributions in high-impact first-author publications and citations, they could position themselves as a leading researcher in civil engineering management and sustainability.

Publications Top Noted

  • Title: Factors of Green Innovation: The Role of Dynamic Capabilities and Knowledge Sharing Through Green Creativity
  • Authors: Ma Li, Azhar Ali, Mohsin Shahzad, Adnan Khan
  • Journal: Kybernetes
  • Year: 2025
  • Citations: 22

Gil Ju Lee | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Prof. Gil Ju Lee | Engineering | Best Researcher Award

Associate Professor at Pusan National University, South Korea

Dr. Gil Ju Lee is an accomplished researcher and Associate Professor at the School of Electrical and Electronics Engineering, Pusan National University (PNU), South Korea. His expertise lies in novel photonic devices, advanced optoelectronics, bio-inspired imaging systems, and semiconductor nanowires. With a strong background in next-generation imaging, radiative cooling, and multifunctional nanophotonic devices, he has contributed significantly to cutting-edge technological advancements. Dr. Lee has received numerous prestigious awards, including the Outstanding Researcher Award from PNU (2022-2024) and the Samsung HumanTech Thesis Award. His research has been widely published in high-impact journals such as Nature Communications, Advanced Energy Materials, and Scientific Robotics. As the principal investigator of multiple national research projects, he continues to drive innovation in optoelectronics and nanophotonics.

Professional Profile 

Education

Dr. Gil Ju Lee earned his Integrated M.S./Ph.D. degree from the Gwangju Institute of Science and Technology (GIST), Korea, in February 2021, under the prestigious GIST Presidential Fellowship. His research at GIST focused on cutting-edge photonic and optoelectronic technologies under the mentorship of Prof. Young Min Song. Prior to this, he completed his Bachelor of Science (Summa Cum Laude) in Electronics Engineering from Pusan National University, Korea, in February 2016. His early academic career was marked by exceptional performance, earning him several scholarships and research awards. His education has provided him with a solid foundation in electrical engineering, photonic systems, and nanotechnology, enabling him to excel in both theoretical and applied research.

Professional Experience

Dr. Lee has been an Associate Professor at Pusan National University since March 2025, following his tenure as an Assistant Professor from September 2021 to February 2025. Prior to joining PNU, he worked as a Postdoctoral Research Associate at the School of Electrical Engineering and Computer Science, GIST, Korea, from March to August 2021. Throughout his career, Dr. Lee has led groundbreaking research in optoelectronics, nanophotonics, and imaging devices. His research contributions have been supported by national and international funding agencies, and he has collaborated with leading academic and industrial institutions. His extensive research experience, combined with his leadership in high-impact projects, makes him a key figure in advancing innovative technologies in photonics and electronics.

Research Interests

Dr. Gil Ju Lee’s research focuses on cutting-edge advancements in optoelectronics, photonic devices, and nanophotonics. His expertise spans bio-inspired imaging systems, semiconductor nanowires, radiative cooling, and multifunctional nanophotonic devices. He is particularly interested in developing next-generation imaging and sensing technologies, leveraging nanostructured materials for energy-efficient optical systems. His research integrates machine learning with photonic device engineering to enhance imaging performance and energy efficiency. Dr. Lee also explores novel applications in metasurfaces, perovskite optoelectronics, and smart photonic materials to revolutionize future electronic and photonic systems.

Awards and Honors

Dr. Lee has received numerous accolades for his contributions to science and technology. Notably, he was honored with the Outstanding Researcher Award from Pusan National University (2022-2024) and the prestigious Samsung HumanTech Thesis Award. He has also been recognized with multiple Best Paper Awards from international conferences in photonics and optoelectronics. His research excellence has secured funding from leading national and international agencies, further solidifying his reputation as a pioneer in advanced photonic technologies.

Research Skills

Dr. Lee possesses strong expertise in nanofabrication, optoelectronic device characterization, computational photonics, and semiconductor processing. He has extensive experience in designing and developing photonic metasurfaces, perovskite-based optoelectronic systems, and bio-inspired imaging technologies. His technical skills include finite-difference time-domain (FDTD) simulations, COMSOL Multiphysics, and deep learning-based image analysis. Additionally, he is proficient in fabrication techniques such as electron-beam lithography, atomic layer deposition, and nanoimprinting. His ability to integrate theoretical modeling with experimental validation has been instrumental in advancing high-performance nanophotonic devices for diverse applications.

Conclusion

Dr. Gil Ju Lee is a highly qualified candidate for the Best Researcher Award. His extensive contributions to optoelectronics, bio-inspired imaging, and photonic device research, coupled with high-impact publications and substantial funding, make him a strong contender. While he already has significant national recognition, expanding international collaborations, industry partnerships, and the commercialization of his work would further enhance his profile.

Publications Top Noted

  • Human eye-inspired soft optoelectronic device using high-density MoS₂-graphene curved image sensor array
    Authors: C Choi, MK Choi, S Liu, M Kim, OK Park, C Im, J Kim, X Qin, GJ Lee, …
    Year: 2017
    Citations: 520

  • Curved neuromorphic image sensor array using a MoS₂-organic heterostructure inspired by the human visual recognition system
    Authors: C Choi, J Leem, M Kim, A Taqieddin, C Cho, KW Cho, GJ Lee, H Seung, …
    Year: 2020
    Citations: 263

  • Bioinspired artificial eyes: Optic components, digital cameras, and visual prostheses
    Authors: GJ Lee†, C Choi†, DH Kim, YM Song
    Year: 2018
    Citations: 251

  • Colored, daytime radiative coolers with thin‐film resonators for aesthetic purposes
    Authors: GJ Lee, YJ Kim, HM Kim, YJ Yoo, YM Song
    Year: 2018
    Citations: 215

  • Wearable force touch sensor array using a flexible and transparent electrode
    Authors: JK Song, D Son, J Kim, YJ Yoo, GJ Lee, L Wang, MK Choi, J Yang, M Lee, …
    Year: 2017
    Citations: 194

  • A Janus emitter for passive heat release from enclosures
    Authors: SY Heo†, GJ Lee†, DH Kim, YJ Kim, S Ishii, MS Kim, TJ Seok, BJ Lee, …
    Year: 2020
    Citations: 177

  • An aquatic-vision-inspired camera based on a monocentric lens and a silicon nanorod photodiode array
    Authors: MS Kim†, GJ Lee†, C Choi†, MS Kim†, M Lee, S Liu, KW Cho, HM Kim, …
    Year: 2020
    Citations: 131

  • Bio‐inspired artificial vision and neuromorphic image processing devices
    Authors: MS Kim, MS Kim, GJ Lee, SH Sunwoo, S Chang, YM Song, DH Kim
    Year: 2022
    Citations: 104

  • Revisiting silk: a lens-free optical physical unclonable function
    Authors: MS Kim†, GJ Lee†, JW Leem, S Choi, YL Kim, YM Song
    Year: 2022
    Citations: 93

  • Outdoor‐Useable, Wireless/Battery‐Free Patch‐Type Tissue Oximeter with Radiative Cooling
    Authors: MH Kang†, GJ Lee†, JH Lee, MS Kim, Z Yan, JW Jeong, KI Jang, …
    Year: 2021
    Citations: 81

  • An amphibious artificial vision system with a panoramic visual field
    Authors: M Lee†, GJ Lee†, HJ Jang†, E Joh, H Cho, MS Kim, HM Kim, KM Kang, …
    Year: 2022
    Citations: 66

  • Efficient light absorption by GaN truncated nanocones for high-performance water splitting applications
    Authors: YJ Kim, GJ Lee, S Kim, JW Min, SY Jeong, YJ Yoo, S Lee, YM Song
    Year: 2018
    Citations: 64