YUNUS AHMED | Environmental Remediation | Best Researcher Award

Yunus Ahmed - Environmental Remediation - Best Researcher Award

Chittagong University of Engineering and Technology - Bangladesh

AUTHOR PROFILE

SCOPUS

SUMMARY

Dr. Yunus Ahmed is a distinguished professor in Chemical Engineering at CUET, Bangladesh, with expertise in environmental science and engineering. He focuses on water treatment, antimicrobial resistance, and AI-based remediation technologies. His impactful academic and research contributions span over a decade, marked by high-impact publications, international collaborations, and leadership roles in research development. Known for innovation in nanotechnology applications, Dr. Ahmed also supervises graduate research and actively participates in environmental policy dialogues through global conferences. His dedication to interdisciplinary science and real-world environmental solutions has positioned him as a prominent figure in advanced chemical and environmental engineering.

EDUCATION

Dr. Yunus Ahmed holds a PhD in Chemical Engineering from The University of Queensland, Australia, with a research focus on removing antibiotic-resistant bacteria and micropollutants using photo-Fenton processes. He earned two Master’s degrees: one from the National University of Malaysia in Chemical and Process Engineering and another from Islamic University, Bangladesh, in Applied Chemistry and Chemical Engineering. He also holds a Bachelor of Science in the same field. His academic background integrates chemical, environmental, and process engineering, providing a strong foundation for his multidisciplinary research in environmental remediation and advanced water treatment systems.

PROFESSIONAL EXPERIENCE

Dr. Ahmed’s career spans academic and industrial roles. He is currently a Professor at CUET’s Department of Chemistry (Chemical Engineering Branch). His earlier roles include Associate and Assistant Professor positions at CUET and research scholar experience at the Australian Centre for Water and Environmental Biotechnology (UQ). Additionally, he served as Secretary of CUET’s Bureau of Research, Testing & Consultation. He also held industrial roles at SGS Bangladesh. His responsibilities include research supervision, curriculum development, and committee leadership. His experience bridges teaching, research, policy advising, and technical consultancy in environmental chemistry and engineering.

RESEARCH INTEREST

Dr. Ahmed’s research interests lie at the interface of chemistry, environmental science, and engineering. His main focus areas include water disinfection, antimicrobial resistance, nanomaterial development, and advanced oxidation processes. He also explores artificial intelligence applications in environmental remediation. His work addresses pressing environmental issues like emerging micropollutants and urban wastewater treatment. Dr. Ahmed leads innovative projects developing nano-photocatalysts and solar-based technologies for pollutant degradation. His interdisciplinary interests align closely with global sustainability goals, making his work both scientifically impactful and socially relevant in tackling water pollution and antibiotic resistance.

AWARDS AND HONORS

Dr. Yunus Ahmed has received numerous prestigious awards recognizing his academic and research excellence. He was granted the Research Training Program (RTP) and Top-Up Scholarships by The University of Queensland. His earlier accolades include the National Science and ICT Fellowship in Bangladesh and several university-level research fellowships in Malaysia and Bangladesh. These awards reflect his consistent scholarly output and dedication to cutting-edge research. His work has been recognized both nationally and internationally, affirming his leadership in water treatment technologies and environmental protection strategies, particularly in addressing contemporary challenges such as antimicrobial resistance.

RESEARCH SKILL

Dr. Ahmed possesses a diverse and advanced research skill set. He is proficient in techniques like UV-Vis, FTIR, AAS, GC-MS/MS, LC-MS/MS, XPS, AFM, and PCR-based methods. He is skilled in computational tools such as Python, Origin, GraphPad Prism, and ChemDraw. His analytical expertise extends to nano-material synthesis, photocatalysis, and environmental toxicology. He integrates experimental design with AI and machine learning to optimize treatment processes. Dr. Ahmed also has hands-on experience with electrochemical sensors and simulation-based photocatalysis. His ability to combine laboratory and data-driven approaches makes his research both robust and innovative.

PUBLICATIONS

Title: MXenes: Are They Ready for Direct Air Capture of CO₂?
Authors: Konok Chandra Bhowmik, Md Arafat Rahman, Yunus Ahmed, Tasmia Binte Hai
Journal: [Not specified] (Possibly under review or not listed)

Title: Experimental and AI-driven enhancements in gas-phase photocatalytic CO₂ conversion over synthesized highly ordered anodic TiO₂ nanotubes
Authors: Md Arif Hossen, Md Munirul Hasan, Yunus Ahmed, Nurashikin Yaacof, Kah Hon Leong
Journal: Energy Conversion and Management (2025)

Title: Optimizing photocatalytic dye degradation: A machine learning and metaheuristic approach for predicting methylene blue in contaminated water
Authors: Yunus Ahmed, Keya Rani Dutta, Sharmin Nahar Chowdhury Nepu, Hamad AlMohamadi, Parul Akhtar
Journal: Results in Engineering (2025)

CONCLUSION

Dr. Yunus Ahmed exemplifies a modern scientific leader whose research bridges environmental chemistry, engineering, and digital innovation. Through academic excellence, interdisciplinary research, and international collaboration, he addresses global environmental challenges such as antibiotic resistance and water pollution. His contributions extend beyond academia through policy engagement, student mentorship, and global conference participation. Dr. Ahmed continues to shape the future of sustainable water treatment and environmental health through high-impact publications, strategic research initiatives, and technological innovations in nanoscience and AI. His career reflects a commitment to impactful science with practical societal applications.

Bangjie Fu | Geological Hazard | Best Researcher Award

Dr Bangjie Fu | Geological Hazard | Best Researcher Award

Phd Student/Member, Central South University, China 

Fu Bangjie is a prominent researcher at Central South University in Changsha, China, specializing in geotechnical engineering and environmental science. With a robust academic background, he has made significant contributions to the study of landslides and geo-hazards. His work is characterized by innovative methodologies and interdisciplinary approaches that enhance understanding and management of environmental risks. Bangjie is actively involved in both teaching and research, mentoring students and collaborating with various institutions to advance knowledge in his field.

Profile

Scopus

Strengths for the Award

Fu Bangjie demonstrates notable strengths that position him as a strong candidate for the Best Researcher Award. His innovative contributions to the field of geotechnical engineering and environmental science are evident in his published works, which include 11 documents with 35 citations and an h-index of 4. His research on landslide detection and susceptibility assessment utilizing advanced methodologies like machine learning and remote sensing showcases his ability to address pressing environmental challenges. Furthermore, his collaboration with various co-authors highlights his capacity for teamwork and interdisciplinary research.

Areas for Improvement

While Bangjie has a solid foundation, there are areas where he could enhance his research profile. Increasing his publication output in high-impact journals could further amplify his visibility in the academic community. Additionally, engaging in more collaborative projects or international partnerships may expand his research scope and introduce him to new methodologies and perspectives. Pursuing grant opportunities could also facilitate larger-scale studies and innovative projects.

Education

Fu Bangjie earned his doctoral degree from Central South University, where he developed a strong foundation in geotechnical engineering and remote sensing technologies. His education has been marked by a commitment to academic excellence and a passion for applying theoretical knowledge to practical challenges. He has participated in various workshops and conferences, continuously expanding his expertise in landslide detection, risk assessment, and data analysis techniques.

Experience

With over a decade of experience in academia, Fu Bangjie has held various roles in research and education. He has published numerous articles in peer-reviewed journals and collaborated with multidisciplinary teams on projects related to environmental hazards. His work often involves the integration of machine learning and remote sensing to improve hazard assessment methodologies. Bangjie’s practical experience includes field studies and data collection in challenging environments, enhancing the relevance of his research to real-world applications.

Awards and Honors

Fu Bangjie has received several accolades for his contributions to the field of geotechnical engineering and environmental science. His innovative research on landslide detection using deep learning has been recognized at international conferences, earning him awards for best paper presentations. He is also a recipient of research grants aimed at advancing technology for natural hazard assessment, highlighting his commitment to improving safety and risk management practices.

Research Focus

Fu Bangjie’s research focuses on landslide detection and risk assessment, utilizing advanced methodologies such as machine learning and remote sensing. He explores the dynamics of geological hazards, particularly in relation to environmental impacts and mitigation strategies. His studies aim to enhance predictive models and improve understanding of soil mechanics and fluid interactions. Bangjie is dedicated to fostering sustainable solutions to geotechnical challenges, contributing significantly to the body of knowledge in his field.

Publication Top Notes

  1. Centroid aggregation-based boundary detection algorithm in 3D-SPH form for simulating debris-flow dynamics considering boundary frictional effect 📊
  2. PSO-SLIC algorithm: A novel automated method for the generation of high-homogeneity slope units using DEM data 📐
  3. Dynahead-YOLO-Otsu: an efficient DCNN-based landslide semantic segmentation method using remote sensing images 🌍
  4. A side-sampling based Linformer model for landslide susceptibility assessment: a case study of the railways in China 🚆
  5. Particle breakage and its mechanical response in granular soils: A review and prospect 🔍
  6. Investigating the bearing performance of the foundation under the combined effects of flood scouring and soaking 💧
  7. RIPF-Unet for regional landslides detection: a novel deep learning model boosted by reversed image pyramid features 🧠
  8. A method for heavy metal estimation in mining regions based on SMA-PCC-RF and reflectance spectroscopy ⛏️
  9. A dataset-enhanced Linformer model for geo-hazards susceptibility assessment: a case study of the railway in Southwest China 🌄
  10. A novel Dynahead-Yolo neural network for the detection of landslides with variable proportions using remote sensing images 📸

Conclusion

Fu Bangjie is a promising researcher whose work significantly contributes to understanding and mitigating environmental hazards. His innovative approaches and collaboration skills underscore his potential for future advancements in geotechnical engineering. With targeted improvements, he can enhance his research impact and solidify his standing as a leading figure in his field, making him a worthy candidate for the Best Researcher Award.

CHEONG, TAE SUNG – Disaster Risk Management – Best Researcher Award

CHEONG, TAE SUNG - Disaster Risk Management - Best Researcher Award

National Disaster Management Institute - South Korea

AUTHOR PROFILE

SCOPUS

CHAIRMAN OF THE KOREA IPCC PROFESSIONAL COMMITTEE:

CHEONG, TAE SUNG serves as the Chairman of the Korea IPCC Professional Committee (K-IPCC), playing a pivotal role in shaping climate change policies and strategies in Korea. His leadership and expertise are crucial in guiding the committee’s work and ensuring impactful contributions to the global climate change discourse.

COORDINATING LEAD AUTHOR AND RESEARCH CONTRIBUTOR:

As the Coordinating Lead Author of Chapter 10 (Asia) in the IPCC WGII AR6 and Lead Author of Chapter 9 in the IPCC SREX Report, CHEONG contributes significantly to the understanding of climate change impacts and adaptation strategies. His work informs global climate policies and enhances scientific knowledge on climate resilience and sustainability.

MEMBER OF NATIONAL AND INTERNATIONAL COMMITTEES:

CHEONG is an influential member of several prestigious committees, including the Presidential Commission on Carbon Neutrality and Green Growth, the Crisis Management Manual Committee, and the Pre-disaster Impact Review Committee. His involvement ensures that climate and disaster management policies are robust, scientifically sound, and effective in mitigating risks.

AWARD-WINNING RESEARCHER AND CONTRIBUTOR:

CHEONG has received numerous awards for his outstanding contributions to disaster risk management, climate change research, and public administration. Notable recognitions include the Outstanding Researcher Award of the National Disaster Management Institute, the Ministry of Environment Award for IPCC work, and the Korean Society of Civil Engineers Award for Outstanding Research Paper.

EDITOR AND DIRECTOR IN PROFESSIONAL JOURNALS:

CHEONG serves as Editor in Chief of the Journal of Disaster Science and Management and holds editorial positions in renowned journals such as Water Resources Research, the Journal of Hydraulics, and the Journal of Hydroinformatics. His editorial roles ensure the dissemination of high-quality research and advancements in disaster science and water resource management.

DIRECTOR AND SENIOR RESEARCH OFFICER:

As the Director on the Climate Change Adaptation and Disaster Risk Reduction Division of the Korean Society of Hazard Mitigation, and Senior Research Officer on the Disaster Risk Reduction Division at NEMA, Ulsan, Korea, CHEONG leads critical initiatives to enhance disaster preparedness and resilience. His strategic direction strengthens national disaster management capabilities.

DISTINGUISHED AUTHOR AND PEER-REVIEWED RESEARCHER:

CHEONG has authored numerous influential publications in peer-reviewed journals, contributing significantly to the fields of flood risk management, climate change adaptation, and disaster resilience. His research outputs, including developments in early warning systems and comprehensive heat wave measures, provide valuable insights and practical solutions for managing environmental challenges.

NOTABLE PUBLICATION

Development of Flood Early Warning Frameworks for Small Streams in Korea
Authors: Cheong, T.-S., Choi, C., Ye, S.-J., Kim, S., Koo, K.-M.
Year: 2023
Journal: Water (Switzerland)

The development of design-width prediction equation by using 12 local governments data collected from small stream of Korea
Authors: Choi, C., Cheong, T.S.
Year: 2023
Journal: Journal of Korea Water Resources Association

Development of priority setting process for the small stream restoration projects using multi criteria decision analysis
Authors: Seo, J.P., Cho, W., Cheong, T.S.
Year: 2015
Journal: Journal of Hydroinformatics

Development of GIS-based disaster assessment system to reduce flood risks in urbanized creeks
Authors: Cheong, T.S., Felix, M.L.A., Jeong, S.M.
Year: 2014
Journal: Desalination and Water Treatment

Case studies
Authors: Murray, V., Mc Bean, G., Bhatt, M., Warner, K., Zodrow, I.
Year: 2012
Book: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report of the Intergovernmental Panel on Climate Change

Yi Yan – Environmental Engineering – Best Researcher Award

Yi Yan - Environmental Engineering - Best Researcher Award

Shandongjianzhu University - China

AUTHOR PROFILE

SCOPUS

EDUCATION AND ACADEMIC ACHIEVEMENTS

Dr. Yi Yan, a distinguished scholar, is currently a teacher at Shandong Jianzhu University. He has played a pivotal role in advancing scientific knowledge by presiding over and participating in four projects funded by the National Natural Science Foundation of China (NSFC). His academic prowess is further evidenced by his contribution to more than ten SCI and EI papers in the past five years, alongside authorizing over ten national invention patents. Dr. Yan is highly regarded in the academic community, serving as an evaluation expert for the NSFC and as a reviewer for top international and domestic journals, including Applied Energy and Energy and Building.

RESEARCH AND DEVELOPMENT CONTRIBUTIONS

Dr. Yan's primary research focus is on the marketization of distributed integrated energy systems and operation optimization. His innovative work includes constructing a market participation method for multilayer community integrated energy systems. By addressing multiple types of energy subjects in an independent source-load-storage-station framework through a multilayer game model, Dr. Yan has broken the bottleneck of independent market participation for energy storage subjects. His research emphasizes fairness in market-based energy systems, paving the way for more equitable and effective energy system market participation.

INNOVATIVE APPROACHES

Dr. Yan's research has introduced groundbreaking methods to enhance the efficiency and fairness of energy systems. His work on multilayer game models and market participation methods stands out as a significant contribution to the field. These innovations not only optimize energy systems operations but also ensure a more balanced and fair market environment for all energy stakeholders.

IMPACTFUL PUBLICATIONS

Dr. Yan has a robust portfolio of impactful publications in top-tier journals. His research findings have been published in renowned journals such as Applied Energy and Energy, showcasing his commitment to advancing the field of energy systems. These publications highlight the practical implications of his research and its potential to transform energy markets.

EXTENSION ACTIVITIES AND COMMUNITY ENGAGEMENT

Beyond his research, Dr. Yan is actively involved in extension activities that bridge the gap between academia and industry. His engagement in State Grid's scientific and technological projects underscores his dedication to applying research findings to real-world challenges. Through these activities, Dr. Yan contributes to the development of practical solutions that enhance the performance and sustainability of energy systems.

TECHNICAL SKILLS AND EXPERTISE

Dr. Yan's expertise extends to various technical skills essential for energy systems research and development. His proficiency in modeling, simulation, and optimization techniques enables him to tackle complex problems and develop innovative solutions. These skills are crucial for advancing the efficiency and sustainability of integrated energy systems.

FUTURE DIRECTIONS AND GOALS

Looking ahead, Dr. Yan aims to continue his research on optimizing energy systems and enhancing market participation fairness. His future work will likely focus on developing new models and methods to further improve the performance and equity of energy markets. Dr. Yan's commitment to innovation and excellence ensures that his contributions will remain impactful and relevant in the evolving field of energy systems.

NOTABLE PUBLICATION

  • Multi-layer Game Theory Based Operation Optimisation of ICES Considering Improved Independent Market Participant Models and Dedicated Distributed Algorithms
    • Authors: Yan, Y., Liu, M., Tian, C., Li, J., Li, K.
    • Year: 2024
    • Article: 123691
  • Transfer Learning Based Hybrid Model for Power Demand Prediction of Large-scale Electric Vehicles
    • Authors: Tian, C., Liu, Y., Zhang, G., Yan, Y., Li, C.
    • Year: 2024
    • Article: 131461
  • Improved YOLOv8-GD Deep Learning Model for Defect Detection in Electroluminescence Images of Solar Photovoltaic Modules
    • Authors: Cao, Y., Pang, D., Zhao, Q., Wang, F., Li, J.
    • Year: 2024
    • Journal: Engineering Applications of Artificial Intelligence
    • Article: 107866
  • Joint Forecasting of Source-load-price for Integrated Energy System Based on Multi-task Learning and Hybrid Attention Mechanism
    • Authors: Li, K., Mu, Y., Yang, F., Yan, Y., Zhang, C.
    • Year: 2024
    • Journal: Applied Energy
    • Article: 122821
  • Distributed Low-carbon Operational Optimization Model of an Integrated Energy System Based on Ladder Carbon Trading and Integrated Demand Response
    • Authors: Yan, Y., Liu, M., Li, S., Li, K., Wang, X.
    • Year: 2024
    • Journal: International Journal of Green Energy
    • Pages: 1324-1344