Mrs. Kalani Rajamanthri | Moisture Sensors | Research Excellence Award

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Mrs. Kalani Rajamanthri | Moisture Sensors | Research Excellence Award

Mrs. Kalani Rajamanthri | Moisture Sensors | Arizona State University | United States

Mrs. Kalani Rajamanthri is a female geotechnical engineer and academic researcher with strong expertise in civil, environmental, and sustainable engineering, specializing in geotechnical infrastructure resilience, geosynthetics, and slope stability under extreme climatic conditions. She holds a Doctor of Philosophy in Civil, Environmental, and Sustainable Engineering from Arizona State University with a specialization in Geotechnical Engineering, supported by advanced graduate education in civil engineering from Kasetsart University and undergraduate training in civil and infrastructure engineering from the Asian Institute of Technology. Her professional experience spans academic research, teaching, government research organizations, and large-scale international construction projects, including roles as a Graduate Research Associate, Teaching Assistant in geotechnical engineering, Geotechnical Engineer in multinational infrastructure projects, and Engineer within a national research organization’s geotechnical division. Her work integrates numerical modeling, experimental investigation, and field-based geotechnical analysis, with demonstrated contributions to excavation support design, retaining structures, slope stability assessment, embankment settlement monitoring, and disaster-resilient infrastructure development. Her research interests include innovative geosynthetics, unsaturated soil mechanics, soil–geosynthetic interaction, climate-resilient embankment systems, and sustainable geotechnical solutions for transportation infrastructure.

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Stability Assessment of a Bio-Engineered Slope in Western Thailand


– Conference / Journal Article

Mr. Lee Patrick Ekouaguet | Body Sensors | Industry Impact Award

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Mr. Lee Patrick Ekouaguet | Body Sensors | Industry Impact Award 

Mr. Lee Patrick Ekouaguet | Body Sensors | Ogooue Corps Technologies | France

Mr. Lee Patrick Ekouaguet is an inventor, technology entrepreneur, and innovation leader specializing in smart sensor systems, wearable health and safety technologies, and sustainable engineering solutions with strong societal impact. His academic background includes advanced multidisciplinary training in international trade, transport and logistics, and specialized professional education in artificial intelligence and cybercriminology, providing a solid foundation for managing complex, technology-driven innovation ecosystems. Professionally, he serves as Founder and Chief Executive Officer of OGOOUE CORPS TECHNOLOGIES, a deep-tech organization focused on the design and deployment of autonomous, low-energy, and environmentally responsible sensor-based devices for healthcare, public safety, and digital inclusion. His professional experience spans the leadership of distributed research and development teams, coordination of cross-border partnerships with universities, innovation hubs, and applied research institutions, and the supervision of concept-to-prototype development of smart wearable systems. His primary research interests include wearable sensor integration, body-powered and energy-harvesting systems, sustainable materials for medical devices, connected safety monitoring platforms, and ethical human-centered technology design aligned with global development goals. His awards and honors reflect recognition for innovation excellence, health technology impact, and sustainable engineering leadership at international levels.

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Assist. Prof. Dr. Hye-Youn Lim | Computer Vision | Excellence in Research Award

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Assist. Prof. Dr. Hye-Youn Lim | Computer Vision | Excellence in Research Award

Assist. Prof. Dr. Hye-Youn Lim | Computer Vision | Dong-A University | South Korea

Assist. Prof. Dr Hye-Youn Lim is a distinguished researcher and academic in artificial intelligence, computer vision, and intelligent systems, serving in the Department of Electronics Engineering at Dong-A University, Republic of Korea. Hye-Youn Lim obtained her Ph.D. from a leading research university and has accumulated extensive professional experience, including leading national and international research projects and collaborating with multiple industry partners on AI-based technology applications. Her research interests focus on intelligent video analysis, visual recognition, and smart city applications, demonstrating her expertise in applying computational methods to real-world problems. Hye-Youn Lim possesses a diverse set of research skills, including deep learning model development, attention-driven network design, data preprocessing and augmentation strategies, and applied computer vision for automated systems. Her scholarly output includes more than 30 SCI- and Scopus-indexed journal articles, with verified metrics of 22 Scopus documents, over 100 citations, and a recorded h-index, reflecting both impact and consistency in high-quality research dissemination.

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Prof. Dae-Seong Kang | Sensing Technology | Excellence in Research Award

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Prof. Dae-Seong Kang | Sensing Technology | Excellence in Research Award 

Prof. Dae-Seong Kang | Sensing Technology | Dong-A University | South Korea

Prof. Dae-Seong Kang is a Professor in the Department of AI Software at Dong-A University, Republic of Korea, with established expertise in artificial intelligence, computer vision, and intelligent perception systems, and a strong academic profile grounded in doctoral-level training from a research-intensive university. He has developed a distinguished professional career combining advanced research leadership, graduate education, and large-scale collaboration with industry and public-sector partners. Prof. Dae-Seong Kang has served as Principal Investigator on more than twenty-five national and international research projects, demonstrating sustained capability in managing complex, multidisciplinary initiatives aligned with intelligent sensing and real-time AI systems.  His research interests focus on artificial intelligence, computer vision, deep learning, image and video analytics, and intelligent perception systems, with emphasis on robust, lightweight, and real-time models suitable for sensing environments. His scholarly output is substantial, with 52 Scopus-indexed documents, 161 citations, and an h-index of 4, including peer-reviewed publications in IEEE-aligned and Scopus-indexed journals and conferences. His professional service includes editorial and reviewer roles, international collaborations, senior membership in AI-focused professional societies, and leadership in academia–industry partnerships, alongside 25+ research projects, 10+ consultancy engagements, 5 published patents, and 1 academic book.

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Dr. Byung-Ho Rhie | Cancer Awards | Research Excellence Award

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Dr. Byung-Ho Rhie | Cancer Awards | Research Excellence Award

Dr. Byung-Ho Rhie | Cancer Awards | Kangwon National University | South Korea

Dr. Byung-Ho Rhie is a highly accomplished biomedical researcher and academic with extensive expertise in cancer biology, stem cell research, and targeted therapeutics, with a particular focus on non-small cell lung cancer (NSCLC) drug resistance mechanisms and human pluripotent stem cell biology. He earned his Ph.D. from the College of Science and Technology, Hanyang University, and has held multiple postdoctoral and senior researcher positions at Hanyang University and Kangwon National University, where he contributed to international collaborative research projects and translational biomedical studies. Dr. Byung-Ho Rhie’s professional experience includes establishing NSCLC research platforms, generating osimertinib-resistant EGFR-mutant cell lines, performing CRISPR/Cas9-mediated knockout of drug resistance factors, and investigating novel therapeutic strategies for drug-resistant cancers. His research on pluripotent stem cells includes developing xeno-free and chemically defined culture conditions, identifying and characterizing deubiquitinating enzymes regulating pluripotency factors such as OCT4 and SOX2, and performing genome-wide CRISPR functional screenings. His scholarly output includes five Scopus-indexed publications with 50 citations and an h-index of 4, demonstrating both depth and impact in biomedical research.

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EGFR inhibitor suppresses tumor growth by blocking lipid uptake and cholesterol synthesis in non-small cell lung cancer

Rhie, B.-H., et al. (2025). Biochimica et Biophysica Acta – Molecular Basis of Disease.

Mrs. Dasinaa Subramaniam | Environmental Science | Research Excellence Award

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Mrs. Dasinaa Subramaniam | Environmental Science | Research Excellence Award

Mrs. Dasinaa Subramaniam | Environmental Science | Memorial University of Newfoundland | Canada

Mrs. Dasinaa Subramaniam is a distinguished researcher and academic professional specializing in Boreal Ecosystems, Agricultural Sciences, and Animal Science, with comprehensive expertise in sustainable agriculture, biofertilizer production, and animal feed development. She is pursuing her Ph.D. at the School of Science and the Environment, Grenfell Campus, Memorial University of Newfoundland, where her research focuses on evaluating the potential of using earthworms to produce commercially viable animal feed and vermicompost biofertilizer from pulp and paper mill sludge, demonstrating her commitment to innovative circular bio-economy solutions. Mrs. Dasinaa Subramaniam’s educational background includes a Master of Science in Animal Science from the Post Graduate Institute of Agriculture, University of Peradeniya, where she investigated factors influencing artificial insemination success in selected veterinary ranges, and a Bachelor of Science in Agriculture with a specialization in Animal Science from the Faculty of Agriculture, Eastern University Sri Lanka. Her professional experience spans academic lecturing, research, and leadership roles, including her current appointment as Lecturer in the Department of Bio-systems Technology, Eastern University Sri Lanka, and her previous position as Head of the Department of Agriculture at Hardy Advanced Technological Institute, Sri Lanka Institute of Advanced Technological Education, where she promoted high standards in student performance, curriculum delivery, and faculty management.

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Mr. MingShou An | Computer Vision | Research Excellence Award

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Mr. MingShou An | Computer Vision | Research Excellence Award

Mr. MingShou An | Computer Vision | Xi’an Technological University | China

Mr. MingShou An is an accomplished researcher and academic professional specializing in Artificial Intelligence–driven sensing systems, with strong expertise in Computer Vision, Deep Learning, and Intelligent Monitoring Technologies. He holds a Ph.D. in an engineering and computing discipline from a recognized Chinese university, where his doctoral research focused on data-driven visual perception, lightweight neural architectures, and intelligent sensing models for real-time environments. Currently affiliated with Xi’an Technological University, Mr. MingShou An has established a solid academic and professional profile through his contributions to national and collaborative research projects addressing smart surveillance, intelligent safety monitoring, and applied AI for sensor-enabled systems. His professional experience spans academic lecturing, research supervision, and applied system development, where he actively bridges theoretical algorithm design with deployable AI solutions for real-world sensing applications, including edge AI and time-sensitive visual analytics. His scholarly output includes 10 Scopus-indexed publications, achieving 15 citations and an h-index of 3, with several works published in IEEE-affiliated conferences and peer-reviewed venues related to intelligent perception and lightweight network design.

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Mr. Fuyun Lu | Soil Water | Sensor Data Sensing Award

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Mr. Fuyun Lu | Soil Water | Sensor Data Sensing Award 

Mr. Fuyun Lu | Soil Water | China Agricultural University | China

Mr. Fuyun Lu is a male researcher and student specializing in soil-erosion monitoring and hydrodynamic measurement technologies, with a primary focus on quantifying soil-water flux and measuring the velocity of shallow overland flow. He is currently enrolled at China Agricultural University, where he is developing expertise in integrating advanced sensor technologies into intelligent, high-accuracy instruments capable of real-time environmental monitoring. His professional experience includes the completion of two research projects, participation in one consultancy/industry project, and the development of one patent, demonstrating applied innovation in environmental sensing and instrumentation. Mr. Fuyun Lu’s research interests include soil-water dynamics, erosion control, hydrology, environmental monitoring, and the development of sensor-based measurement systems, while his technical skills encompass experimental design, sensor integration, precision flow measurement, data acquisition, and hydrodynamic modeling. His contributions, including publications in peer-reviewed journals indexed in SCI/Scopus, reflect his growing influence in the field and his commitment to translating research into practical solutions for sustainable land and water management.

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Dr. Shaokun Yang | Geotechnical Analysis | Research Excellence Award

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Dr. Shaokun Yang | Geotechnical Analysis | Research Excellence Award 

Dr. Shaokun Yang | Geotechnical Analysis | Army Engineering University of PLA | China

Dr. Shaokun Yang is a male researcher and academic specializing in geotechnical engineering, particularly focusing on the mechanical behavior of soft soil foundations and innovative reinforcement and treatment techniques. He earned his Ph.D. in Civil Engineering from Donghua University and currently serves as a Lecturer at the Army Engineering University of PLA, where he has been selected as a Military Youth Science and Technology Talent Cultivation Candidate. His professional experience spans multiple national and international research projects, including four funded by the National Natural Science Foundation of China, consultancy projects in applied civil and military engineering, and active engagement in the development of engineering standards. Dr. Shaokun Yang has successfully completed five major research projects and has contributed to the creation of eight patents, demonstrating strong applied innovation and technical problem-solving skills. His research interests include soft soil mechanics, foundation stabilization, geotechnical reinforcement, soil-structure interaction, and advanced instrumentation for soil monitoring.

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Prof. Dr. Amira Haddouk | Wireless Energy | Best Researcher Award

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Prof. Dr. Amira Haddouk | Wireless Energy | Best Researcher Award 

Prof. Dr. Amira Haddouk | Wireless Energy | Higher National Engineering School of Tunis | Tunisia

Prof. Dr. Amira Haddouk is a female expert in electrical systems, measurements, and instrumentation, recognized for her substantial contributions to applied mathematics, sensor systems, and precision measurement. She holds a doctoral degree in measurements and instrumentation from the Higher School of Sciences and Techniques of Tunis and a habilitation diploma in electrical systems from the National Higher School of Engineering of Tunis (ENSIT), which laid the foundation for her advanced expertise in experimental design, sensor instrumentation, and metrology. Prof. Dr. Amira Haddouk currently serves as Head of the Measurement and Instrumentation Laboratory at ENSIT, leading research initiatives, supervising technical projects, and coordinating international collaborations. She has published more than 20 scholarly articles in Scopus-indexed journals and conferences, accumulating 105 citations, an h-index of 5, and an i10-index of 2, demonstrating significant academic impact and influence.

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Featured Publications


Quasi-Balanced Bridge Method for the Measurements of the Impedances


– IET Science, Measurement & Technology, 2009 · 15 citations


Harmonic Pollution Caused by Non-Linear Load: Analysis and Identification


– Int. Journal of Energy & Environmental Engineering, 2018 · 9 citations