Jinming yang | Remote sensing disaster detection | Best Researcher Award

Assist. Prof. Dr. jinming yang | Remote sensing disaster detection | Best Researcher Award

Dr. JinMing Yang is an Assistant Researcher at the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences. With a Ph.D. in Geography from Xinjiang University, his expertise lies in snow ecohydrology and disaster science in arid regions. His research integrates physical experiments, remote sensing technologies, and mathematical modeling to study snow and avalanche phenomena, focusing on precipitation-ice-snow runoff processes and snow disaster assessment. He has developed advanced remote sensing models for detecting avalanche debris and contributed significantly to understanding the dynamic evolution of mountain disasters. He has published influential articles in SCI-indexed journals, including innovations in automatic avalanche detection using C-band SAR data. He serves as a reviewer for Cold Regions Science and Technology and holds membership in the Xinjiang Natural Resources Society. His scientific contributions are helping to improve snow safety and disaster risk management, making him a prominent figure in his field.

Profile

🎓 Education

Dr. JinMing Yang earned his Ph.D. in 2017 from Xinjiang University, China, majoring in Geography with a specialization in Physical Geography. His doctoral studies provided a strong foundation in environmental and geospatial sciences, with a specific focus on the cryosphere in arid regions. He received intensive training in field-based observation, experimental research, remote sensing data analysis, and mathematical modeling techniques. Throughout his academic career, he has demonstrated a high level of scientific rigor and innovation, especially in integrating electromagnetic spectrum characteristics with snow and avalanche studies. His education combined theoretical depth with applied research, equipping him with the skills to investigate ecohydrological processes, snow accumulation dynamics, and avalanche risk modeling. This academic background not only enhanced his capacity for independent research but also prepared him for interdisciplinary collaborations aimed at understanding and mitigating natural disasters in vulnerable mountainous terrains.

đŸ§Ș Experience

Since completing his Ph.D., Dr. JinMing Yang has served as an Assistant Researcher at the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences. He has accumulated significant experience in snow ecohydrology, particularly within arid and mountainous environments. His work centers on monitoring and modeling snow-related hazards using advanced remote sensing technologies, including SAR data, to improve avalanche detection accuracy. He led a National Natural Science Foundation of China project focused on spatiotemporal evolution of avalanches in the western Tianshan Mountains, employing multi-modal electromagnetic spectrum coupling. Dr. Yang has also contributed to disaster risk assessment frameworks and snow safety strategies, often working with cross-disciplinary teams. His methodological expertise in fusing remote sensing, geostatistics, and simulation models makes him an asset in both academic and practical contexts. Additionally, his editorial and peer-review contributions reflect his growing leadership in the cryosphere and natural hazards research community.

🏅 Awards and Honors

Dr. JinMing Yang has emerged as a notable young researcher in the field of snow disasters and mountain hazard assessment. While specific awards are not listed in the provided information, his nomination for the “Best Researcher Award” highlights his recognized excellence and impact in scientific research. His groundbreaking work on avalanche detection using SAR data and multi-source model integration has earned him reviewer responsibilities for prestigious journals like Cold Regions Science and Technology. His citation index of 29 indicates growing academic recognition, and his project funding from the National Natural Science Foundation of China signifies trust in his expertise and innovative capacity. His active role in professional societies like the Xinjiang Natural Resources Society further reflects his integration into influential academic networks. His contributions are instrumental in shaping practical policies for snow safety in arid mountain environments, positioning him as a strong candidate for national and international research accolades.

🔬 Research Focus

Dr. JinMing Yang’s research is focused on snow ecohydrology and disaster risk modeling in arid and mountainous regions, with snow as the central element. He explores the precipitation-ice-snow runoff process and studies the mechanisms driving avalanche formation and development. A major aspect of his work involves remote sensing-based detection and assessment of snow disasters, particularly the use of SAR data to automate avalanche debris identification. His innovative research has led to the development of independently constructed models combining multi-source variables to quantify avalanche risk spatially and temporally. He also investigates the seasonal dynamics and causal variable influences on avalanche behavior, contributing to mountain safety science. These models offer insights into hazard evolution, aiding in effective disaster prevention and response. His methodology relies heavily on geospatial analysis, electromagnetic spectrum modeling, and simulation techniques, bridging theoretical understanding with real-world applications for environmental safety and planning.

✅ Conclusion

Dr. JinMing Yang stands out as an accomplished researcher whose innovative contributions to snow ecohydrology and remote sensing-based disaster assessment have advanced scientific understanding and practical management of snow-related hazards in arid mountain regions.

Publications
  • Dynamic spatiotemporal quantification of avalanches in the Central Tianshan Mountains by integrating air–space–ground collaborative sensing and snow field–terrain filters

    International Journal of Digital Earth
    2024-12-31 | Journal article
    Part ofISSN: 1753-8947
    Part ofISSN: 1753-8955
    CONTRIBUTORS: JinMing Yang; LanHai Li; Yang Liu
  • Moderate-resolution snow depth product retrieval from passive microwave brightness data over Xinjiang using machine learning approach

    International Journal of Digital Earth
    2024-12-31 | Journal article
    Part ofISSN: 1753-8947
    Part ofISSN: 1753-8955
    CONTRIBUTORS: Yang Liu; Jinming Yang; Xi Chen; Junqiang Yao; Lanhai Li; Yubao Qiu
  • Snow avalanche susceptibility mapping from tree-based machine learning approaches in ungauged or poorly-gauged regions

    CATENA
    2023-05 | Journal article
    Part ofISSN: 0341-8162
    CONTRIBUTORS: Yang Liu; Xi Chen; Jinming Yang; Lanhai Li; Tingting Wang
  • Winter–Spring Prediction of Snow Avalanche Susceptibility Using Optimisation Multi-Source Heterogeneous Factors in the Western Tianshan Mountains, China

    Remote Sensing
    2022-03-10 | Journal article
    Part ofISSN: 2072-4292
    CONTRIBUTORS: Jinming Yang; Qing He; Yang Liu
  • Mapping snow avalanche debris by object-based classification in mountainous regions from Sentinel-1 images and causative indices

    CATENA
    2021-11 | Journal article
    Part ofISSN: 0341-8162
    CONTRIBUTORS: Yang Liu; Xi Chen; Yubao Qiu; Jiansheng Hao; Jinming Yang; Lanhai Li
  • Assimilation of D-InSAR snow depth data by an ensemble Kalman filter

    Arabian Journal of Geosciences
    2021-03 | Journal article
    Part of ISSN: 1866-7511
    Part of ISSN: 1866-7538
    CONTRIBUTORS: Jinming Yang; Chengzhi Li

Do Gun Kim | Environmental Engineering | Best Researcher Award

Prof Dr. Do Gun Kim | Environmental Engineering | Best Researcher Award

Associate Professor | Sunchon National University, South korea

Dr. Do Gun Kim is an accomplished environmental engineer and Associate Professor at Sunchon National University, Republic of Korea. With over two decades of academic, research, and industry experience, his expertise spans advanced water, wastewater, and groundwater treatment technologies. Dr. Kim began his career in the private sector with Kavotech and Ssangyong Engineering before transitioning to academia, holding key positions at JEI University and Kyung Hee University. He earned his B.S. from the University of Seoul and both his M.S. and Ph.D. from KAIST in Environmental Engineering. Dr. Kim has published extensively, with over 80 peer-reviewed articles and multiple patents to his name. His research emphasizes physico-chemical treatment processes, innovative materials for pollution remediation, and non-point source pollution management. He is recognized for blending theoretical knowledge with practical applications to address environmental challenges in water quality and sustainable engineering.

Profile

🎓 Education

Dr. Kim holds a Ph.D. in Environmental Engineering from Korea Advanced Institute of Science and Technology (KAIST), completed in August 2010, where his research focused on advanced water treatment technologies. Prior to his doctorate, he earned a Master of Science degree in Environmental Engineering from KAIST in February 1996, where he developed his foundation in physico-chemical treatment processes. His academic journey began with a Bachelor of Science in Environmental Engineering from the University of Seoul, which he completed in February 1993. Throughout his educational career, Dr. Kim has demonstrated a consistent commitment to addressing complex environmental challenges, particularly in the areas of pollution control and sustainable resource management. His academic background is further strengthened by two national engineering licenses in water pollution control and noise and vibration mitigation, awarded by the Human Resources Development Service of Korea. These qualifications support his applied and interdisciplinary approach to environmental research and teaching.

đŸ§Ș Experience

Dr. Do Gun Kim is currently an Associate Professor in the Department of Environmental Engineering at Sunchon National University since July 2020. Before this, he served as a Research Professor and Postdoctoral Researcher at Kyung Hee University (2010–2020), contributing to advanced civil and environmental engineering research. He also briefly worked as an Assistant Professor at JEI University in 2016, teaching environment and health courses. Dr. Kim’s professional experience includes significant time in the private sector with companies like SIB Co., Ltd. (2009–2010), Kavotech Co., Ltd. (2003–2008), and Ssangyong Engineering & Construction Co., Ltd. (until 2002), where he worked in R&D on environmental technologies. His well-rounded background bridges both academia and industry, providing him with practical insight into environmental systems, engineering design, and pollution control. These roles have shaped his approach to research, integrating laboratory innovation with real-world environmental problem-solving.

🏅 Awards and Honors

Dr. Do Gun Kim’s academic and research excellence is reflected in his extensive publication record, with 67 international and 14 domestic journal articles, alongside 7 Korean patents and 1 PCT international patent. His innovative work in environmental engineering has contributed significantly to the advancement of water treatment technologies and pollution reduction strategies. He holds two national-level professional engineering certifications—one in water pollution technology and another in noise and vibration—issued by the Human Resources Development Service of Korea. These certifications validate his technical expertise and professional contributions to environmental management. While specific named awards are not listed, Dr. Kim’s sustained funding, prolific publications, and patents underscore his recognition and impact in the field. His roles at top Korean institutions such as KAIST, Kyung Hee University, and Sunchon National University reflect the esteem in which he is held by academic and professional communities.

🔬 Research Focus

Dr. Kim’s research is centered on advanced physico-chemical processes for water, wastewater, and groundwater treatment. He focuses on key mechanisms like adsorption, catalysis, coagulation, filtration, and advanced oxidation processes to enhance contaminant removal efficiency. His work places strong emphasis on innovative materials, including carbon-based adsorbents, nano-metallic particles, and hybrid composites tailored for environmental remediation. Additionally, Dr. Kim actively investigates methods for reducing non-point source pollution, which poses significant challenges in urban and agricultural runoff management. His integrated approach combines theoretical modeling, lab-scale experimentation, and pilot-scale application. Through interdisciplinary collaboration, he aims to develop sustainable, cost-effective, and scalable solutions for improving water quality and environmental health. His projects often explore synergies between material science, environmental chemistry, and civil engineering, thereby pushing the boundaries of traditional water treatment paradigms. This multi-dimensional focus enhances resilience and sustainability in water resource management systems.

✅ Conclusion

Dr. Do Gun Kim is a dedicated environmental engineer whose multifaceted career integrates academic research, industry experience, and innovative water treatment solutions, making him a leading figure in sustainable environmental technologies.

Publications

zeenat khadim | Remote Sensing | Best Research Article Award

Dr. zeenat khadim | Remote Sensing | Best Research Article Award

Zeenat Khadim Hussain is a passionate PhD Researcher 🧠 at Wuhan University, China 🇹🇳 specializing in Photogrammetry and Remote Sensing 🌍. With strong analytical skills and innovative thinking 💡, she explores the fusion of Deep Learning đŸ€– with geospatial technologies for solving real-world problems đŸŒ±. Her research has made contributions to urban sustainability 🌇, building detection 🏱, and solar energy potential mapping ☀. Zeenat’s scholarly journey is marked by impactful publications 📚 in reputed journals, advancing cutting-edge solutions for environmental monitoring 🌐. She actively engages in international research collaborations đŸ€ and industry-driven projects like Pakistan’s Flood Emergency Reconstruction 🌊. Zeenat remains committed to promoting sustainable development goals (SDGs) through scientific research 📖 and practical applications. Her work reflects dedication to empowering urban resilience đŸ™ïž and advancing geospatial science 📡 for a smarter and greener future 🌿.

Profile

Education 🎓

Zeenat Khadim Hussain holds an exceptional academic background 🏅. Currently pursuing a PhD in Photogrammetry and Remote Sensing đŸ›°ïž at Wuhan University, China 🇹🇳, her education combines theoretical excellence 📚 and real-world applications 🌍. Prior to this, she achieved commendable academic success in her undergraduate and postgraduate studies 🎓, where she cultivated her passion for geospatial technologies 🔭 and machine learning đŸ’». Through rigorous training at Wuhan University’s prestigious School of Remote Sensing đŸ«, she honed her research methodology, scientific writing ✍, and computational modeling skills 🧠. Her strong educational foundation underpins her ability to bridge the gap between advanced technology 💡 and environmental sustainability đŸŒ±, positioning her as a forward-thinking researcher 🔬 with global perspectives 🌐. Zeenat’s academic record reflects her commitment to lifelong learning 📖 and excellence in scientific inquiry 🏆.

Experience đŸ‘šâ€đŸ«

Zeenat Khadim Hussain has rich research and project experience đŸ—ïž, including 3+ major research projects on urban analysis đŸ™ïž, solar irradiance assessment ☀, and building footprint extraction đŸ§± using deep learning algorithms đŸ€– and Sentinel-2 satellite imagery đŸ›°ïž. She has also contributed to Pakistan’s Flood Emergency Reconstruction and Resilience Project 🌊, applying her expertise to real-world disaster management 🌐. Zeenat has authored 6 publications in high-impact journals (SCI, Scopus) 📰 and is continuously expanding her research collaborations đŸ€. Her commitment to developing AI-powered geospatial solutions 💡 for urban sustainability and disaster resilience 🚧 has made her a rising star 🌟 in remote sensing. From conceptualizing research frameworks 📋 to deploying machine learning pipelines ⚙, Zeenat’s experience spans both academic and applied research environments đŸ§Ș, establishing her as a dynamic and results-oriented researcher 🔬.

Awards & Recognitions 🏅

Zeenat Khadim Hussain’s academic journey is distinguished by multiple honors đŸŽ–ïž and global recognition 🌐. Her groundbreaking work on building detection and rooftop solar assessment đŸąâ˜€ïž has earned commendation in academic conferences and journal publications 📚. She has been nominated for competitive research awards đŸ„‡ such as the Best Research Scholar Award 🧠 and Excellence in Research 🌟, highlighting her commitment to scientific innovation 🔬. Her practical impact through Pakistan’s Flood Reconstruction Project 🌊 and interdisciplinary collaborations đŸ€ showcases her leadership potential and societal contribution đŸ’Ș. Zeenat’s consistent publication record in reputed platforms 📰 and successful completion of funded research projects 💾 emphasize her growing academic influence 🚀. Her career reflects resilience, intellectual curiosity 🧠, and a passion for using technology to solve environmental and urban challenges 🌍.

Research Interests 🔬

Zeenat Khadim Hussain’s research focuses on the fusion of Deep Learning đŸ€–, Photogrammetry 📏, and Remote Sensing đŸ›°ïž to tackle urban, environmental, and energy-related challenges 🌍. She specializes in building footprint detection 🏱, rooftop solar potential mapping ☀, and disaster risk management 🌊 using geospatial data and AI algorithms ⚙. Her work bridges the gap between theoretical modeling 📐 and real-world applications in sustainable urban planning đŸŒ± and renewable energy assessment ⚡. She is especially passionate about translating satellite data into actionable insights 🔎 for climate adaptation, resilience, and urban growth 📊. Zeenat’s latest research introduces deep learning architectures 🧠 that enhance rooftop extraction accuracy, as published in Remote Sensing Applications: Society and Environment 🌐. Her aim is to push the frontiers of automated geospatial analysis 🚀, enabling smarter and greener cities đŸ™ïž for future generations 🌿.

Publications 
  • Spatiotemporal optimization for communication-navigation-sensing collaborated emergency monitoring

    International Journal of Digital Earth
    2025-12-31 | Journal article
    Part ofISSN: 1753-8947
    Part ofISSN: 1753-8955
    CONTRIBUTORS: xicheng tan; Bocai Liu; Chaopeng Li; Zeenat Khadim Hussain; Kaiqi Wang; Kai Wang; Mengyan Ye; Danyang Yang; Zhiyuan Mei
  • A Novel Architecture for Building Rooftop Extraction Using Remote Sensing and Deep Learning

    Remote Sensing Applications: Society and Environment
    2025-04 | Journal article | Author
    Part ofISSN: 2352-9385
    CONTRIBUTORS: zeenat khadim; Jiang Congshi; Muhammad Adrees; Hamza Chaudhary; Rafia Shafqa
  • 3D spatial evolutionary particle swarm algorithm based emergency communication spatial deployment optimization

    Geo-spatial Information Science
    2025-03-11 | Journal article
    Part of ISSN: 1009-5020
    Part of ISSN: 1993-5153
    CONTRIBUTORS: Yumin Chen; xicheng tan; Jinguang Jiang; Xiaoliang Meng; Zeenat Khadim Hussain; Jianguang Tu; Huaming Wang; You Wan; Zongyao Sha

Iqra qaisar | Environmental sciences | Best Researcher Award

Ms. Iqra qaisar | Environmental sciences | Best Researcher Award

Iqra Qaiser, from Rawalpindi, Pakistan, is a dedicated and ambitious professional with a passion for environmental sciences and education đŸŒ±đŸ“˜. Known for her structured approach and growth mindset, she continuously seeks to improve herself both personally and professionally. Her teaching journey spans across coaching institutions and schools, where she has inspired students in Biology and Chemistry for grades 9-10 đŸ§Ș🧬. Iqra believes in lifelong learning and has engaged with global organizations such as WHO and WWF 🌍💡. She thrives in dynamic environments, embraces constructive feedback, and is always ready to contribute positively to her team. Iqra’s commitment to excellence and sustainability, along with her multilingual skills and leadership training, makes her a versatile and forward-thinking individual with a vision to create impactful change. 🚀🌟

Profile

Education 🎓

🎓 2020-2024: Bachelor’s in Environmental Sciences from Fatima Jinnah Women University – secured an A grade.
📚 2018-2020: F.Sc. Pre-Medical from Army Public School & College, Rawalpindi – 79%.
📘 2018: Matriculation in Sciences – scored 84%.
📜 Throughout her academic career, Iqra has remained committed to excellence, combining strong academic performance with active participation in extracurriculars and research-based events.
đŸ§Ÿ She earned multiple certifications in leadership, environmental awareness, communication, and global health issues from prestigious platforms like WHO, UNICEF, and Udemy.
💬 Fluent in communication and trained in risk assessment and infodemic management, she demonstrates academic versatility and a strong work ethic.
đŸ’» Iqra’s dedication to environmental change and scientific advancement is further reflected in her participation in seminars, boot camps, and digital courses, building a well-rounded educational foundation. 🌿🌎

Experience đŸ‘šâ€đŸ«

đŸ‘©â€đŸ« 4 years part-time teaching Biology & Chemistry to Grades 9–10 in various coaching centers.
đŸ« 6 months full-time as a Biology teacher at Future Foundation School, Rawalpindi.
đŸ‘©â€âš•ïž 6 months as a Weekend Carer at Shifa Medical Complex, Rawalpindi – providing care & compassion.
🌍 Internship at the National Cleaner Production Centre – gaining hands-on environmental field experience.
🧠 Iqra’s teaching journey showcases her strong subject command, classroom management skills, and ability to simplify complex concepts.
đŸ‘„ She brings empathy and attention to detail from her caregiver experience into education and teamwork settings.
đŸ› ïž Equipped with Microsoft Office skills and strong time management, she’s effective both independently and collaboratively.
🌐 Frequent engagements with WHO and WWF officials have enhanced her communication, professionalism, and confidence on global platforms.
🧑‍🔬 Her diverse roles reflect her adaptability, care-driven mindset, and commitment to both education and sustainable health practices.

Awards & Recognitions 🏅

🏅 Awards & Honors (150 words):
🌟 Certificate of Appreciation – 2nd International Multidisciplinary Conference, Mehran University (2021).
🎹 WWF Poster Competition – World Pangolin Day 2023.
đŸ—łïž Voter Education & Mass Awareness Program (2022).
🌐 WHO: COVID-19 Infodemic Management + Mass Gathering Risk Assessment (2021).
đŸ§Ș Seminar Contribution: Advancements in Biochemistry – FJWU.
đŸ‘©â€đŸ’» Participant – “Pakistani Girls Code” Workshop by Lincoln Corners, 2022.
🧠 Udemy: Leadership, ChatGPT for Work, and more (2023–2024).
🎓 UNICEF E-course – “I am in a Changing Environment” (2024).
📞 “Speak English Professionally” by Georgia Institute of Technology (2024).
🔬 Mars Multiomics Research Bootcamp – 20-day E-course (2024).
🏅 These awards highlight Iqra’s proactive learning style and engagement with global and national organizations.
📚 Her certifications reflect a balanced profile of science, leadership, digital tools, and civic participation, making her a dynamic learner.
🌿 A trailblazer with a purpose!

Research Interests 🔬

🌍 Iqra’s research interest lies at the intersection of environmental sustainability, biology, and public health.
đŸ§« She is especially passionate about environmental conservation, waste management, biodiversity, and climate change awareness.
đŸ§Ș Her academic background in environmental sciences enables her to explore eco-solutions through scientific analysis and hands-on projects.
💉 Participation in WHO’s public health initiatives sparked her interest in communicable diseases and community health resilience.
📊 Her involvement in digital training programs and boot camps supports her focus on data-driven environmental research.
🧬 Iqra aspires to contribute to sustainable development goals by linking fieldwork and scientific literacy in educational settings.
🌿 She’s also intrigued by the impact of biochemistry and ecology in pollution control and human wellness.
📈 Iqra is driven to bridge the gap between science education and environmental activism through meaningful, research-based community interventions.
🧠 A future researcher with purpose and potential!

Publications 
  • Impact of Air Pollution and Smog on Human Health in Pakistan: A Systematic Review

    Environments
    2025-02-03 | Journal article
    Part of ISSN: 2076-3298
    CONTRIBUTORS: Shazia Iram; Iqra Qaisar; Dr. Rabia Shabbir; Pomee, M.S.; Matthias Schmidt; Elke Herti

Yangyang Ju | Smart gas sensor | Young Scientist Award

Ms. Yangyang Ju | Smart gas sensor | Young Scientist Award

Yangyang Ju is an Assistant Professor at the Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology. She earned her Ph.D. in Physics and Mathematics from Tomsk Polytechnic University, Russia, in 2019, following her graduation from Jilin University in 2013. Her research focuses on nanomaterials, optoelectronic and gas-sensitive materials, smart gas sensors, and the stability of halide perovskite materials. She has led multiple research projects, including those funded by the National Natural Science Foundation of China and the Beijing Foreign High-level Young Talent Program. With 14 published articles in indexed journals and two patented oxygen sensors, her contributions to material science are significant. She collaborates with global research teams, including ITMO in Russia, and serves as a special issue editor for Materials. She is also a member of the Chinese Institute of Electronics.

Profile

Education 🎓

Yangyang Ju completed her undergraduate studies at Jilin University in 2013. She pursued her Ph.D. in Physics and Mathematics at Tomsk Polytechnic University, Russia, completing it in 2019. Her doctoral research focused on the development and stability of halide perovskite materials for optoelectronic applications. She later conducted postdoctoral research at the Beijing Institute of Technology, where she expanded her expertise in gas-sensitive nanomaterials and smart sensors. Through various academic and industrial collaborations, she has gained in-depth knowledge of material science, sensor technology, and advanced nanomaterials. Her education laid the foundation for her innovative work in trace gas sensors and perovskite-based devices. With a strong interdisciplinary background, she integrates physics, chemistry, and engineering principles to develop cutting-edge materials for environmental and industrial applications.

Experience đŸ‘šâ€đŸ«

Yangyang Ju is currently an Assistant Professor at the Beijing Institute of Technology’s Advanced Research Institute of Multidisciplinary Science. She has led multiple national and international research projects, including grants from the National Natural Science Foundation of China and the Beijing Foreign High-level Young Talent Program. As a Principal Investigator, she has successfully managed projects focusing on perovskite materials and gas sensors. Previously, she collaborated with ITMO University in Russia, where she worked on phase purity control in quasi-2D PeLEDs, leading to multiple indexed publications. Additionally, she has held key roles in technology development projects with Zhijing Technology (Beijing) Co., Ltd. Her work has led to two patents on oxygen detection devices. She also serves as a special issue editor for Materials and is a professional member of the Chinese Institute of Electronics.

Research Interests 🔬

Yangyang Ju specializes in trace gas sensors, metal halide perovskites, gas-sensitive materials, and nanomaterials. Her research explores the stability of halide perovskites under different environmental conditions, focusing on their applications in optoelectronics and gas sensing. She has contributed significantly to understanding the impact of oxygen concentration on the fluorescence of 2D tin-based perovskites, leading to the development of fiber-optic trace oxygen sensors with high sensitivityhttps://cognitivescientist.org/?p=12953&preview=true. Her work has been published in Matter, Advanced Functional Materials, and Advanced Science. She has also collaborated with ITMO University in Russia to optimize phase purity control in quasi-2D PeLEDs. Her studies on perovskite-oxygen interactions have provided critical insights into material stability and sensor applications. Through national and international collaborations, she continues to advance research on smart gas sensors and high-performance nanomaterials for industrial and environmental monitoring.

Awards & Recognitions 🏅

Yangyang Ju has received several prestigious awards, including funding from the Beijing Foreign High-level Young Talent Program (2024) and the Young Faculty Startup Program of Beijing Institute of Technology. She was also awarded grants by the National Natural Science Foundation of China for her pioneering research in gas-sensitive materials and nanotechnology. Her work in material stability and sensor development has been recognized through national and international collaborations, including a cooperative exchange project with the Fundamental Research Foundation of Belarus. She has received recognition for her outstanding contributions to perovskite research and gas sensor development, leading to multiple high-impact journal publications. Her patents on oxygen detection devices further demonstrate her innovation in applied material sciences.

Publications 

  • Catalytic Sensor-Based Software-Algorithmic System for the Detection and Quantification of Combustible Gases in Complex Mixtures

    Sensors and Actuators A: Physical
    2025-03 | Journal article
    CONTRIBUTORS: Tatiana Osipova; Alexander Baranov; Haowen Zhang; Ivan Ivanov; Yangyang Ju
  • Response of Catalytic Hydrogen Sensors at Low and Negative Ambient Temperatures

    IEEE Sensors Letters
    2023-12 | Journal article
    CONTRIBUTORS: Vladislav Talipov; Alexander Baranov; Ivan Ivanov; Yangyang Ju
  • Color‐Stable Two‐Dimensional Tin‐Based Perovskite Light‐Emitting Diodes: Passivation Effects of Diphenylphosphine Oxide Derivatives

    Advanced Functional Materials
    2023-07 | Journal article
    CONTRIBUTORS: Chenhui Wang; Siqi Cui; Yangyang Ju; Yu Chen; Shuai Chang; Haizheng Zhong
  • Fast-Response Oxygen Optical Fiber Sensor based on PEA<sub>2</sub>SnI<sub>4</sub> Perovskite with Extremely Low Limit of Detection

    Advanced Science
    2022 | Journal article