Dr. Thulasi Bikku |Decision-making and Problem-solving |Women Researcher Award

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Dr. Thulasi Bikku |Decision-making and Problem-solving |Women Researcher Award

Amrita Vishwa Vidyapeetham, Amaravati, India

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🎓 Early Academic Pursuits

Dr. Thulasi Bikku’s academic journey is a testament to perseverance and intellectual rigor. From a young age, his curiosity and dedication to learning paved the way for an illustrious career in academia. He pursued his higher education with an unwavering focus on engineering and technology, excelling in his undergraduate and postgraduate studies. His doctoral research further cemented his expertise, enabling him to delve into complex engineering problems with innovative solutions. His scholarly pursuits laid the foundation for a distinguished career that would shape future generations of engineers and researchers.

💼 Professional Endeavors

With a passion for education and research, Dr. Thulasi Bikku embarked on his professional journey as a faculty member, eventually rising to the esteemed position of Professor. His tenure in academia has been marked by his commitment to delivering quality education, mentoring students, and fostering an environment of intellectual growth. His teaching methodologies are known for their interactive approach, blending theoretical knowledge with practical applications. Beyond the classroom, he has actively participated in curriculum development, ensuring that engineering education remains relevant and aligned with industry advancements.

💡 Contributions and Research Focus

Dr. Thulasi Bikku’s research endeavors span a broad spectrum of engineering disciplines, contributing significantly to advancements in the field. His work has focused on cutting-edge areas such as sustainable engineering, advanced manufacturing techniques, and computational modeling. He has published numerous research papers in high-impact journals, showcasing his analytical acumen and innovative thinking. His collaborations with industry partners and academic peers have led to the development of groundbreaking solutions that address contemporary engineering challenges. Through his research, he has not only expanded the body of knowledge but also provided practical insights that benefit both academia and industry.

🏆 Accolades and Recognition

A scholar of high repute, Dr. Thulasi Bikku has received multiple awards and honors for his contributions to engineering education and research. His work has been recognized by prestigious academic institutions and professional organizations, earning him accolades for excellence in teaching, research, and mentorship. His presence at international conferences as a keynote speaker and panelist highlights his stature as a thought leader in his domain. These recognitions reflect his unwavering commitment to academic excellence and his impact on the global engineering community.

🌟 Impact and Influence

Dr. Thulasi Bikku’s influence extends beyond his immediate academic environment. As a mentor, he has guided numerous students and researchers, helping them navigate their academic and professional journeys. His ability to inspire and motivate young minds has led to the success of many aspiring engineers who now contribute significantly to the industry. His research collaborations have fostered interdisciplinary advancements, bridging gaps between theoretical research and practical applications. His engagement with the academic community, through workshops, seminars, and scholarly discussions, continues to shape the future of engineering education and research.

💪 Legacy and Future Contributions

Looking ahead, Dr. Thulasi Bikku remains dedicated to pushing the boundaries of engineering research and education. His future aspirations include expanding his research initiatives, fostering international collaborations, and developing innovative educational programs that integrate emerging technologies. He aims to leave a lasting legacy by nurturing the next generation of engineers and researchers, equipping them with the skills and knowledge to tackle global challenges. His vision for the future is one of continuous learning, innovation, and meaningful contributions to society.

Dr. Thulasi Bikku’s journey is a remarkable blend of academic brilliance, professional dedication, and research innovation. His contributions to engineering education and research will continue to inspire and shape the future of the discipline for years to come.

📝Notable Publications

Multi-layered deep learning perceptron approach for health risk prediction

Author: T Bikku
Journal: Journal of Big Data
Year: 2020

A contemporary feature selection and classification framework for imbalanced biomedical datasets

Authors: ARA Thulasi Bikku, Sambasiva Rao Nandam
Journal: Egyptian Informatics Journal
Year: 2018

Deep learning approaches for classifying data: a review

Authors: T Bikku, KS Sree
Journal: Journal of Engineering Science and Technology
Year: 2020

Hadoop based feature selection and decision making models on big data

Authors: T Bikku, NS Rao, AR Akepogu
Journal: Indian Journal of Science and Technology
Year: 2016

An Interpretable Approach with Explainable AI for Heart Stroke Prediction

Authors: PN Srinivasu, U Sirisha, K Sandeep, SP Praveen, LP Maguluri, T Bikku
Journal: Diagnostics
Year: 2024

Dr. Inam Ullah Khan | Decision-making and Problem-solving | Excellence in Research

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Dr. Inam Ullah Khan | Decision-making and Problem-solving | Excellence in Research

Southern Methodist University, United States

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Early Academic Pursuits 📚

Dr. Inam Ullah Khan’s academic journey is marked by a solid foundation in electrical and computer engineering, which led him to pursue a Ph.D. in Electrical and Computer Engineering. His profound interest in machine learning, intelligent systems, and energy optimization was shaped early in his academic career. During his undergraduate and graduate studies, Dr. Khan exhibited a keen interest in innovative solutions to complex technological challenges, which he later carried into his research endeavors. His academic excellence set the stage for his future endeavors, which involve both theoretical exploration and practical applications of advanced technological concepts.

Professional Endeavors 💼

Dr. Khan’s professional career reflects a commitment to advancing the field of electrical and computer engineering, particularly in the areas of machine learning, intelligent systems, and energy optimization. As an Assistant Professor at the Lyle School of Engineering at Southern Methodist University (SMU), he has become a driving force in the academic development of students and the enhancement of the institution’s research output. He designed and delivered a wide range of undergraduate and graduate courses, equipping students with the knowledge to excel in the rapidly evolving fields of artificial intelligence, data-driven modeling, and optimization.

Before joining SMU, Dr. Khan accumulated extensive teaching experience at COMSATS University Islamabad, where he worked as an Assistant Professor. He also held the position of teaching faculty at Lancaster University, UK (Overseas Campus). His teaching philosophy revolves around fostering student engagement with complex topics such as machine learning, control systems, and renewable energy solutions. Dr. Khan’s courses have earned him a reputation for clarity, enthusiasm, and dedication to student success.

Dr. Khan has also demonstrated significant expertise in securing external research funding and fostering collaboration with key stakeholders in the industry. Through his ongoing and previous roles, he has led several research projects, including those focused on transportation electrification, 5G/6G network optimization, and renewable energy systems. These collaborations have facilitated groundbreaking research and real-world impact, particularly in marginalized sectors.

Contributions and Research Focus 🔬

Dr. Khan’s research focus spans several vital and transformative areas, including machine learning, data science, artificial intelligence (AI), renewable energy systems, and optimization techniques. His early work in machine learning and energy optimization laid the groundwork for his more recent contributions, which involve developing predictive models and optimizing complex systems. One of Dr. Khan’s most significant contributions is his work in energy optimization, particularly in transportation electrification, where he has helped develop models that integrate machine learning, artificial intelligence, and statistical methods to optimize systems in logistics, aviation, and energy.

His research in transportation electrification, in collaboration with the Dallas Chamber of Commerce, integrates technical solutions such as energy optimization with business objectives such as digital marketing. Through this project, Dr. Khan is directly addressing real-world challenges and contributing to the development of sustainable transportation solutions. His research on 5G/6G network optimization, with a particular focus on network security and efficiency, continues to influence how next-generation telecommunications systems are designed and deployed.

Dr. Khan has also made significant strides in the realm of Explainable AI (XAI) and machine learning. He has worked on projects that aim to make AI more understandable and transparent, which is a crucial aspect of increasing the adoption of AI technologies across industries. Furthermore, his interdisciplinary research that merges AI with cybersecurity and privacy protection has been instrumental in addressing some of the most pressing concerns of the digital age.

Accolades and Recognition 🏆

Dr. Khan’s contributions to the academic and research fields have not gone unnoticed. He has received multiple accolades for his research, particularly in the areas of AI, machine learning, and energy systems. His work in optimizing 5G/6G networks has earned him recognition from both academic peers and industry experts. Additionally, his leadership in research projects and the publication of peer-reviewed articles in high-impact journals has solidified his reputation as a thought leader in his field.

His ability to secure external funding for his research projects has further highlighted his capacity for driving academic and practical advancements. Dr. Khan’s work continues to contribute to the development of intelligent systems that have a far-reaching impact on both local and global scales.

Impact and Influence 🌍

Dr. Khan’s impact extends far beyond the classroom and the research lab. His work in transportation electrification, renewable energy, and AI continues to influence academic and industry trends. His research projects are directly aligned with global priorities, such as sustainable energy and technological advancements, and have the potential to shape the future of various industries, including transportation, energy, and telecommunications.

His engagement with the Dallas Chamber of Commerce on projects that address both technical and business objectives, including the integration of AI and digital marketing, exemplifies his commitment to bridging the gap between research and real-world applications. This approach has fostered partnerships and collaborations that further enhance the practical outcomes of his research.

Moreover, Dr. Khan’s contributions to academic mentorship have left a lasting mark. By guiding students through research projects and encouraging interdisciplinary collaboration, he has cultivated the next generation of researchers who are equipped to tackle complex global challenges.

Legacy and Future Contributions 🌟

Dr. Khan’s legacy is one of innovation, mentorship, and commitment to advancing the fields of AI, machine learning, and energy optimization. His ability to blend research excellence with practical, real-world applications ensures that his work will continue to influence various sectors for years to come. Dr. Khan’s contributions to academia and research will undoubtedly leave an enduring impact on the development of intelligent systems and the future of energy and telecommunications industries.

Looking ahead, Dr. Khan’s focus on expanding his research to address more pressing global challenges, such as climate change, sustainable development, and the ethical implications of AI, will further cement his role as a leader in the field. As a dedicated researcher and educator, he will continue to foster innovation and inspire future generations of scientists and engineers.

📝Notable Publications

 Robust Resampling and Stacked Learning Models for Electricity Theft Detection in Smart Grid

Authors: A Ullah, IU Khan, MZ Younas, M Ahmad
Journal: Energy Reports
Year: 2025

 Robust Data Driven Analysis for Electricity Theft Attack-Resilient Power Grid

Authors: IU Khan, N Javaid, CJ Taylor, X Ma
Journal: IEEE Transactions on Power Systems
Year: 2023

A Stacked Machine and Deep Learning-Based Approach for Analysing Electricity Theft in Smart Grids

Authors: IU Khan, N Javaid, CJ Taylor, KAA Gamage, X Ma
Journal: IEEE Transactions on Smart Grid
Year: 2022

Optimal Demand Supply Energy Management in Smart Grid

Author: IU Khan
Journal: PhD Thesis
Year: 2022

Big Data Analytics for Electricity Theft Detection in Smart Grids

Authors: IU Khan, N Javaid, CJ Taylor, KAA Gamage, X Ma
Journal: IEEE PES PowerTech
Year: 2021

 

Assoc Prof Dr. Weihua Li | Risk Management | Best Researcher Award

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Assoc Prof Dr. Weihua Li | Risk Management | Best Researcher Award

Qingdao University of Technology, China

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🌱 Early Academic Pursuits

Weihua Li’s academic journey began with a strong focus on environmental engineering and pollution control. He demonstrated a keen interest in addressing pressing global challenges related to solid waste management during his undergraduate and postgraduate studies. His doctoral research at a prestigious institution laid the foundation for his later work, focusing on mitigating environmental risks from municipal solid waste (MSW). His thesis on the risk assessment of heavy metals and dioxins in fly ash set a benchmark in sustainable waste management research.

His early academic training not only honed his technical skills but also imbued him with a passion for innovative solutions, paving the way for a career dedicated to impactful research and teaching.

🏛️ Professional Endeavors

As a University Teacher at Qingdao University of Technology, Weihua Li has been instrumental in shaping the next generation of environmental scientists. Alongside his teaching responsibilities, he has actively pursued high-impact research, hosting or co-participating in six national-level scientific research projects. These projects have explored critical areas such as the resource utilization of waste materials, pollution control mechanisms, and innovative risk assessment techniques.

Weihua Li has also contributed to consultancy projects, partnering with industries to implement sustainable practices. His collaborations with Kyushu University in Japan have enhanced his expertise, enabling him to conduct groundbreaking research on managing the environmental risks associated with fly ash from landfills.

🔬 Contributions and Research Focus

Weihua Li’s research primarily revolves around solid waste pollution control and resource utilization, addressing one of the most significant environmental challenges of our times. His work has yielded innovative solutions for the control and risk assessment of heavy metals and dioxins in MSW incineration fly ash.

Key Highlights of Research:

  • Published over 30 high-impact academic papers in SCI and EI-indexed journals, with an impressive h-index of 17 (Scopus ID: 57143079000).
  • Secured 12 national invention patents, underscoring his commitment to practical innovation.
  • Authored a book with ISBN, further enriching the knowledge base of solid waste management.
  • Played a key role in 11 research projects, showcasing his leadership in multi-disciplinary studies.

Weihua’s contributions extend beyond academic publishing; his work has a tangible societal impact, particularly in developing safer and more sustainable landfill practices.

🏅 Accolades and Recognition

Weihua Li’s innovative research has earned him widespread recognition, including numerous prestigious awards:

  • Second Prize for Provincial Scientific and Technological Progress: Honoring his contributions to advancing science and technology.
  • First Prize for Invention and Innovation: Awarded by the China Invention Association for his pioneering research in solid waste management.
  • Provincial Outstanding Doctoral Dissertation: Recognizing the academic excellence of his doctoral research.

These accolades highlight his dedication to driving impactful solutions in environmental sustainability.

🌍 Impact and Influence

Weihua Li’s work has had a profound impact on both academia and industry. By addressing critical challenges in waste management, his research has influenced national policies and practices. His innovative approaches to fly ash risk management have set new standards for safety and efficiency, reducing environmental and public health risks.

His collaborations with Kyushu University have fostered international knowledge exchange, enhancing the global understanding of solid waste management strategies. As an educator, Weihua has inspired countless students to pursue careers in environmental science, thereby extending his influence to future generations.

🌟 Legacy and Future Contributions

Weihua Li’s legacy lies in his commitment to bridging the gap between research and real-world applications. His groundbreaking work on pollution control and resource utilization has not only advanced the scientific community’s understanding but also provided practical solutions for sustainable development.

Looking ahead, he aims to expand his research into circular economy frameworks, focusing on transforming waste into valuable resources. His vision includes fostering greater international collaboration and mentoring young researchers to continue the fight against environmental degradation.

With a strong foundation of achievements and an unwavering dedication to innovation, Weihua Li is poised to remain a leading figure in solid waste management and pollution control, leaving an indelible mark on the field and contributing to a more sustainable future.

📝Notable Publications

 

Assoc Prof Dr. feng wang | Decision-making and Problem-solving | Best Researcher Award

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Assoc Prof Dr. feng wang | Decision-making and Problem-solving | Best Researcher Award

jiangnan university, China

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Early Academic Pursuits 🎓

Feng Wang began his academic journey with a solid foundation in the biological sciences, laying the groundwork for his impressive career in enzyme technology and protein separation. He pursued his studies at a leading institution, ultimately earning his degree in the field, which set the stage for his subsequent contributions to the scientific community. During his academic years, Feng developed an early interest in polysaccharide extraction and enzyme activation processes, particularly in the realm of marine biology. His passion for biochemistry and molecular biology became evident as he excelled in his coursework and research endeavors, gaining recognition for his potential in the scientific community.

This academic period allowed Feng Wang to hone his research skills, with a particular focus on protein separation and enzyme technology, areas that would later define his career. He developed a strong theoretical understanding of the chemical and biological mechanisms behind various biochemical processes, with a specific interest in the extraction of natural compounds from algae, such as spirulina. His academic excellence in this area led to collaborations with researchers in related fields, providing him with valuable experience that would prove indispensable in his future career.

Professional Endeavors 🔬

Feng Wang’s professional trajectory is marked by a series of notable positions and accomplishments in the scientific community. Currently, he is affiliated with Jiangnan University, where he has made significant contributions to the university’s research initiatives in the field of bioengineering. With more than eight years of research experience, Feng has gained a reputation as a leader in his field, specializing in the extraction of bioactive compounds from natural sources, including polysaccharides and phycocyanin from spirulina.

Throughout his career, Feng has focused on advancing chemoenzymatic processes, an area of great promise for improving industrial applications related to biocatalysis and green chemistry. His work has demonstrated the potential for using enzymes to catalyze chemical reactions more efficiently and sustainably, addressing challenges in various industries, including pharmaceuticals, food processing, and environmental management. His expertise in stabilizing and activating enzymes, such as α-amylase and lipase, has opened new avenues for research and development in enzyme technology.

In addition to his academic contributions, Feng has actively engaged in consultancy projects with the industry, applying his research findings to real-world problems. His work in this area has not only furthered scientific understanding but has also contributed to the practical implementation of innovative technologies in commercial settings.

Contributions and Research Focus 🔍

Feng Wang’s research is centered on the optimization of chemoenzymatic processes, a rapidly growing field that combines the precision of enzymatic reactions with the versatility of chemical processes. His research is particularly focused on enhancing the extraction of polysaccharides and phycocyanin from spirulina, a process that has profound implications for industries ranging from health supplements to food and cosmetics.

One of his key contributions to this area is his work on stabilizing enzymes, such as α-amylase and lipase, during processing. This research is crucial because enzymes are often unstable under industrial conditions, limiting their practical use. Feng’s innovations in enzyme stabilization have made it possible to enhance the efficiency of industrial processes, making them more sustainable and cost-effective.

His research has been published in numerous prestigious journals, including the International Journal of Biological Macromolecules, Colloids and Surfaces A: Physicochemical and Engineering Aspects, and Applied Catalysis A: General. These publications highlight his ongoing commitment to advancing scientific knowledge and showcasing his groundbreaking work on chemoenzymatic processes.

Accolades and Recognition 🏅

Feng Wang’s dedication to scientific research has earned him numerous accolades and recognition within the scientific community. His citation index (h12) attests to the high impact and relevance of his work, reflecting the influence his research has had on the broader field of biochemistry and enzyme technology. Feng’s reputation as a top-tier researcher is further solidified by his editorial appointments to several prestigious journals, where he has helped shape the direction of research in his area of expertise.

Additionally, Feng’s work has been recognized by both academic institutions and industry leaders. His involvement in various international collaborations, along with his contributions to academic conferences and workshops, has made him a respected figure in his field. These achievements underscore his significant role in advancing the understanding of enzymatic processes and their applications in biotechnology.

Impact and Influence 🌍

Feng Wang’s work has had a significant impact not only on the scientific community but also on various industries. His research into the extraction and processing of natural compounds from spirulina has paved the way for more sustainable and environmentally friendly methods of production in industries like food, cosmetics, and health supplements. Through his work, Feng has contributed to the development of new technologies that have practical applications in the real world.

Moreover, his emphasis on chemoenzymatic processes aligns with the growing global movement towards green chemistry and sustainable industrial practices. By leveraging enzymes to catalyze chemical reactions in a more efficient and eco-friendly manner, Feng’s research plays a vital role in reducing the environmental footprint of industrial processes. His impact is felt not only through his publications but also through his collaborations with industry partners who are using his innovations to improve their operations.

Legacy and Future Contributions 🌱

As Feng Wang continues to push the boundaries of research in enzyme technology and chemoenzymatic processes, his legacy in the field is already being established. His contributions to enzyme stabilization, as well as his pioneering work on polysaccharide and phycocyanin extraction, have already made a lasting mark on both academia and industry.

Looking ahead, Feng’s future contributions are poised to further revolutionize the field of bioengineering. With a continued focus on sustainable practices, he aims to refine and expand his research to tackle some of the most pressing challenges in biotechnology, including improving the efficiency of renewable energy production, advancing biocatalysis for pharmaceutical manufacturing, and developing greener chemical processes.

Feng Wang’s work is a testament to the power of innovation and the importance of scientific research in shaping a more sustainable future. Through his dedication to research excellence and his commitment to addressing global challenges, he is set to leave a lasting impact on both the scientific community and the industries that rely on his discoveries.

📝Notable Publications

γ-Cyclodextrin: a review on enzymatic production and applications

Authors: Z Li, M Wang, F Wang, Z Gu, G Du, J Wu, J Chen

Journal: Applied Microbiology and Biotechnology

Year: 2007

Characterization of a polyamine microsphere and its adsorption for protein

Authors: F Wang, P Liu, T Nie, H Wei, Z Cui

Journal: International Journal of Molecular Sciences

Year: 2012

Synthesis of didodecylmethylcarboxyl betaine and its application in surfactant–polymer flooding

Authors: Z Cui, X Du, X Pei, J Jiang, F Wang

Journal: Journal of Surfactants and Detergents

Year: 2012

Synthesis of N-(3-Oxapropanoxyl)dodecanamide and its Application in Surfactant-Polymer Flooding

Authors: Z Cui, H Song, J Yu, J Jiang, F Wang

Journal: Journal of Surfactants and Detergents

Year: 2011

Comparison of covalent immobilization of amylase on polystyrene pellets with pentaethylenehexamine and pentaethylene glycol spacers

Authors: F Wang, Z Gu, Z Cui, L Liu

Journal: Bioresource Technology

Year: 2011

 

Mr. Haoran Jiang | Decision-making and Problem-solving | Best Researcher Award |3237

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Mr. Haoran Jiang | Decision-making and Problem-solving | Best Researcher Award

Shanghai AI Lab, China

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🌟 Summary

Haoran Jiang is a dedicated researcher in Operations Research and Cybernetics, specializing in weakly supervised and representation learning. With a solid academic foundation and hands-on experience in various advanced research projects, he has published multiple papers in renowned conferences and journals. His commitment to personal growth and community service reflects his leadership skills and passion for knowledge.

🎓 Education

University of Chinese Academy of Sciences (UCAS): M.S. in Operations Research and Cybernetics (Sept. 2021 – Jun. 2024), GPA: 3.82/4, focusing on Weakly Supervised Learning and Representation Learning, with coursework in Pattern Recognition, NLP, and Optimization.

Hunan University (HNU): B.S. in Statistics (Sept. 2017 – Jun. 2021), GPA: 3.85/4 (Rank: 1/29), with coursework in Mathematical Analysis, Probability Theory, and Data Mining.

💼 Professional Experience

As a researcher, Haoran has worked on projects such as Interpretable Semantic Disambiguation (Jun. 2023 – Present), where he developed mechanisms for attribute-based feature extraction. He also contributed to Contrastive Learning for Complementary Label Learning (Aug. 2022 – Mar. 2023), proposing an approach that improved state-of-the-art methods by up to 14.61%. In the Image Tampering Detection project (Aug. 2022 – Oct. 2022), he designed a module for semantic suppression, enhancing detection accuracy. Notably, he established a new X-ray dataset for COVID-19 detection, achieving 72.5% accuracy using zero-shot learning.

🔍 Research Interests

Haoran’s research interests include weakly supervised learning, representation learning, contrastive learning, and image recognition and analysis, alongside optimization techniques.

🏆 Honors & Awards

He has received numerous accolades, including the National Scholarship (Top 1%) and Outstanding Graduate from Hunan Province, as well as multiple prizes in mathematics and translation competitions.

🤝 Community Engagement

Haoran actively engages with the community as a Deputy Grade Leader at HNU, organizing educational events, and as a commissioner for party branch activities at UCAS. He volunteers for various initiatives and is a proud member of the university basketball team.

Notable Publications

Safl-net: Semantic-agnostic feature learning network with auxiliary plugins for image manipulation detection

Authors: Z. Sun, H. Jiang, D. Wang, X. Li, J. Cao

Journal: Proceedings of the IEEE/CVF International Conference on Computer Vision

Year: 2023

Image recognition and empirical application of desert plant species based on convolutional neural network

Authors: J. Li, S. Sun, H. Jiang, Y. Tian, X. Xu

Journal: Journal of Arid Land

Year: 2022

ComCo: Complementary supervised contrastive learning for complementary label learning

Authors: H. Jiang, Z. Sun, Y. Tian

Journal: Neural Networks

Year: 2024

Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes

Authors: H. Jiang, Z. Sun, Y. Tian

Journal: AAAI (Oral)

Year: 2024

Dr. Landi Bai | Decision-making and Problem-solving | Best Researcher Award

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Dr. Landi Bai | Decision-making and Problem-solving | Best Researcher Award

Tianjin University, China

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🎓 Education

Landi Bai earned her Ph.D. in Electrical and Information Engineering from Tianjin University in 2024.

💼 Professional Experience

Currently, she serves as an Assistant Research Fellow at the School of Electrical and Information Engineering at Tianjin University.

🔍 Research Interests

Her research focuses on oil-water two-phase flow dynamics, flow pattern evolution, conductance sensors, and recurrence analysis.

📚 Key Contributions

In her recent work, Landi investigates oil-water flow patterns in vertical large-diameter pipes using innovative mini-conductance and multi-electrode array measurement systems. Her findings on flow pattern transitions provide valuable insights for oilfield production logging.

🏆 Publications and Achievements

Landi has published 20 journals in SCI and Scopus, holds 6 patents, and her work has been cited extensively, including a notable publication:
[1] Experimental study of oil-water two-phase flow patterns, Flow Measurement and Instrumentation (2024).

 

Notable Publications

Experimental study of oil-water two-phase flow patterns in a vertical large diameter pipe

Authors: Bai, L., Jin, N., Zhang, J., Ouyang, L., Wang, C.

Journal: Flow Measurement and Instrumentation

Year: 2024

Nonlinear Analysis for Identification of Vertical Upward Oil-Water Two-Phase Flow Patterns

Authors: Zhang, Z., Jin, N., Bai, L., Ren, W., Wei, J.

Journal: IEEE Sensors Journal

Year: 2024

Water Holdup Measurement in Oil-Water Flows with Staggered Double Helix Microwave Sensor

Authors: Bai, L., Jin, N., Ma, J., Liu, W.

Journal: IEEE Sensors Journal

Year: 2023

Measurement of Inclined Oil-Water Two-Phase Flows With the Combination of Electromagnetic Flowmeter and Differential Pressure Sensor

Authors: Liu, Y., Tang, Z., Bai, L., Jiang, B., Jin, N.

Journal: IEEE Sensors Journal

Year: 2023

Soft Measurement of Oil–Water Two-Phase Flow Using a Multi-Task Sequence-Based CapsNet

Authors: OuYang, L., Jin, N., Bai, L., Ren, W.

Journal: ISA Transactions

Year: 2023

Assoc Prof Dr. Jing Dong | Decision-making and Problem-solving | Best Researcher Award

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Assoc Prof Dr. Jing Dong | Decision-making and Problem-solving | Best Researcher Award

Dalian University of Technology, China

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Early Academic Pursuits 🎓

Jing Dong’s academic journey began with a Ph.D. in Urban Planning from Tianjin University, a prestigious institution in China. Her early research centered on understanding the role of ecological systems in urban environments, with a focus on mitigating the effects of climate change through sustainable planning. These formative years set the foundation for her later work, where she would delve deeper into the integration of nature-based solutions (NBS) into urban planning strategies. Her academic excellence and curiosity led her to explore innovative ways of addressing the ecological and social challenges that cities face today.

Professional Endeavors and Contributions 🌍

As an Associate Professor and Doctoral Supervisor at Dalian University of Technology, Jing Dong has established herself as a leader in ecological urban planning. Her professional work primarily focuses on climate adaptation strategies that utilize nature-based solutions, such as green roofs and urban greening initiatives. Through her innovative approach to quantifying the multiple benefits of green roofs—ranging from cooling effects and runoff reduction to biodiversity enhancement—she has developed assessment methods that are both practical and scientifically sound.

Jing has also established a set of multi-objective optimization planning methods that enhance the integration of these solutions with spatial planning, ensuring a balance between ecological benefits and costs. This work not only advances urban planning methodologies but also demonstrates the importance of harmonizing environmental and economic considerations in sustainable development.

Her role as a consultant in nine industry projects, coupled with her academic output, highlights her deep engagement with both the theoretical and practical dimensions of urban planning. The completion of the 13th Five-Year Key R&D Program sub-themes, in collaboration with the Institute of Urban Environment of the Chinese Academy of Sciences and the Xiamen Planning Institute, further underscores her significant contributions to national and regional urban planning efforts.

Research Focus and Innovations 🔬

Jing Dong’s research agenda is dedicated to finding practical, scalable solutions to climate-related challenges in urban areas. Her work is grounded in the exploration of nature-based solutions (NBS), which leverage natural systems to address urban challenges such as heat, flooding, and air pollution. Her innovative methods for assessing the ecological benefits of green roofs—such as their cooling effects and contribution to biodiversity—have made significant strides in promoting greener, more sustainable cities.

One of her major achievements is the development of multi-objective optimization tools that help city planners assess and prioritize ecological interventions. This enables more effective climate adaptation strategies that balance environmental gains with financial and logistical constraints. Her work is particularly relevant in the context of China’s rapid urbanization, where the need for climate-resilient infrastructure is more pressing than ever.

Jing Dong has led five national and provincial research projects, demonstrating her capacity to manage complex, interdisciplinary projects. Her research output includes over 30 academic papers published in top-tier journals, with 19 as the first or corresponding author. Her work has been featured in seven CAS TOP journals, a testament to the high-impact nature of her research. In addition to her publications, Jing authored a monograph and filed two patents, further solidifying her contributions to the field.

Accolades and Recognition 🏆

Jing Dong’s work has been widely recognized with several prestigious awards. Among her notable accolades is the second prize for the National Outstanding Urban and Rural Planning and Design Award, which is a significant honor in her field. She has also been awarded the third prize for the Outstanding Achievement Award in Social Sciences, as well as the third prize for Excellent Urban and Rural Planning Design at the provincial and ministerial levels.

These awards highlight her contribution to both academic research and practical planning solutions. Her work has had a direct impact on urban policy and design, improving the sustainability and livability of cities through the integration of ecological principles into planning frameworks.

Impact and Influence 🌱

Jing Dong’s influence extends beyond the academic sphere. Her work on nature-based solutions has shaped policy discussions around urban climate adaptation, particularly in China’s fast-growing urban regions. The tools and methodologies she has developed have been adopted by urban planners and policymakers, guiding the implementation of green infrastructure projects in cities facing environmental degradation and climate-related risks.

Her leadership in consulting projects has enabled her to bring cutting-edge research into practical application, benefiting communities by improving urban resilience. This translation of academic research into real-world solutions is one of the hallmarks of her career, making her a sought-after expert in urban planning and climate adaptation.

Legacy and Future Contributions 🚀

Looking ahead, Jing Dong is poised to continue making significant contributions to urban sustainability. Her ongoing projects on climate adaptation planning for nature-based solutions are expected to push the boundaries of current knowledge in this field. With two patents currently under process, she is set to further expand the technological and methodological toolkit available to urban planners.

Her commitment to fostering sustainable cities and communities ensures that her legacy will endure through the improved livability and resilience of the urban environments she helps design. Future generations of researchers and planners are likely to build upon her work, using her innovative approaches to address the challenges of climate change and urbanization.

In sum, Jing Dong’s career is marked by a profound commitment to ecological urban planning, climate adaptation, and the pursuit of sustainable solutions. Through her research, teaching, and consultancy work, she has had a lasting impact on both academic thought and urban policy, with the promise of even greater achievements in the future.

Notable Publications

Framework of street grid-based urban heat vulnerability assessment: Integrating entropy weight method and BPNN model

Authors: Guo, F., Zheng, R., Zhao, J., Zhang, H., Dong, J.

Journal: Urban Climate

Year: 2024

Application and future of local climate zone system in urban climate assessment and planning—Bibliometrics and meta-analysis

Authors: Zhang, H., Bai, J., Zhao, J., Dong, J., Cai, J.

Journal: Cities

Year: 2024

Finer-scale urban health risk assessment based on the interaction perspective of thermal radiation, human, activity, and space

Authors: Guo, R., Guo, F., Dong, J., Zheng, R., Zhang, H.

Journal: Frontiers of Architectural Research

Year: 2024

Factors influencing outdoor thermal comfort in a coastal park during the transition seasons in cold regions of China

Authors: Zhang, H., Wang, Y., Guo, F., Dong, J., Zhu, P.

Journal: Urban Climate

Year: 2024

Potential evaluation and implementation strategy for pocket park construction in high-density urban areas: A case study in Dalian, China

Authors: Dong, J., Guo, R., Guo, F., Cai, J.

Journal: Frontiers of Architectural Research

Year: 2024

Mr. Pham Minh Nhat | Decision-making and Problem-solving | Best Researcher Award

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Mr. Pham Minh Nhat | Decision-making and Problem-solving | Best Researcher Award

UiT The Arctic University of Norway, Norway

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Early Academic Pursuits 🎓

Viktor, whose full name is Minh-Nhat Pham, embarked on his academic journey with a Bachelor’s degree in International Business Administration from the prestigious Foreign Trade University in Vietnam (2012–2016). Graduating with First Class honors, Viktor’s education laid the foundation for his multidisciplinary expertise. Following his undergraduate success, he pursued a Master’s degree at the University of Stavanger (2018–2020), specializing in Energy, Environment, and Society. His thesis, entitled “A Chain of Metrics to Evaluate Material Performances in Circular Economy,” reflected his forward-thinking approach to sustainability and economics, addressing key metrics such as material circularity, longevity, retained emissions, and labor impacts.

This early education in both business and environmental science set the stage for Viktor’s further exploration of natural resource economics and bioeconomic modeling, fields where he would later make significant academic contributions. During this time, he also showed a strong interest in global issues such as energy use, resource management, and the environment.

Professional Endeavors and Research Focus 🔬

Currently, Viktor is a Postdoctoral Researcher at the Norwegian Institute of Public Health, alongside being a Ph.D. candidate at UiT – The Arctic University of Norway, with his research interests firmly rooted in natural resource economics, ecological economics, and health economics. His work integrates advanced bioeconomic modeling, optimal control theory, dynamic programming, and statistical modeling to address key challenges in environmental and resource economics.

Viktor’s academic curiosity has led him to work on several notable research projects. His contributions span across understanding environmental consequences of population, affluence, and technological progress, particularly focusing on European countries, which he published in the Journal of Environmental Management. Additionally, Viktor’s interdisciplinary approach is evident in his work involving Norwegian reindeer husbandry and its response to climate change, as well as his research into the complex dynamics of ecosystem services and how they impact human decision-making and resource management.

Through his collaborative efforts with notable researchers such as Prof. Dr. Claire Armstrong and Prof. Dr. Kari-Anne Bråthen, Viktor has explored various facets of ecological economics, focusing particularly on how human activity and environmental changes interact in Arctic ecosystems. His research papers, both published and under review, reflect a deep understanding of the complex relationships between species, ecosystems, and the economy.

Contributions and Research Focus 📑

Viktor’s research output highlights his interdisciplinary focus on both theoretical and applied aspects of natural resource management. His publications are highly regarded for their insightful treatment of pressing global issues such as climate change and sustainable resource use. One of his most significant papers, Environmental Consequences of Population, Affluence, and Technological Progress for European Countries: A Malthusian View, co-authored with T.L.D. Huynh and M.A. Nasir, provides an important contribution to environmental management, highlighting the long-term effects of technological advancements and population growth on ecological systems.

Another notable area of Viktor’s research is bioeconomic modeling in Arctic ecosystems, particularly focusing on Norwegian reindeer husbandry in the face of climate change. His multi-species dynamic models, in collaboration with other leading researchers, offer a crucial perspective on how to adapt resource management to changing environmental conditions. His ongoing work explores ecosystem disservices, invasive species, and the management of natural habitats, providing valuable insights for policy makers and stakeholders in both environmental economics and resource management.

Accolades and Recognition 🏆

Viktor has garnered significant recognition for his scholarly contributions and leadership in research. In 2022, he was awarded the “Nord-Norges forskningsfond” from UNIFOR, securing a research grant of 7,000 NOK. His international academic presence was further bolstered by his successful research stay abroad in 2023, funded by the Norwegian Research Council with a generous grant of 148,000 NOK. His collaborative research during this period, particularly with esteemed researchers such as Prof. Dr. Charles Sims and Prof. Dr. Suzanne Lenhart from the University of Tennessee, has strengthened his global academic network and solidified his reputation in the field of natural resource economics.

Additionally, Viktor received a 15,000 NOK research grant from the Norwegian Bank in 2023 to support his ongoing work in economic research. His accolades highlight the value of his research contributions to both national and international communities.

Impact and Influence 🌍

Viktor’s research is not only academically rigorous but also socially impactful. His work on reindeer husbandry models in Arctic ecosystems is particularly relevant given the ongoing discussions surrounding climate change and sustainable resource management in vulnerable regions like the Arctic. His innovative approach to bioeconomic modeling, combining both ecological and economic perspectives, has influenced the way scholars and policymakers view resource management under environmental stress.

His papers have been presented at various international conferences, such as the Association of Environmental and Resource Economists (AERE2023) in Portland, Maine, and the World Conference of Natural Resource Modelling (WCNRM2023) in Amsterdam. These platforms have enabled Viktor to share his findings with a broader audience, further cementing his status as an influential researcher.

Legacy and Future Contributions 🌱

Viktor’s academic journey is characterized by a clear commitment to advancing knowledge in natural resource economics, particularly in the context of climate change. His forward-looking research, which incorporates both theoretical modeling and real-world applications, positions him as a key figure in the ongoing discourse surrounding sustainable resource management.

Looking ahead, Viktor is poised to continue making significant contributions to both academia and the broader public through his innovative research. His work on ecosystem services, invasive species, and resource management strategies will continue to play a crucial role in informing policy decisions and sustainable practices in a rapidly changing world.

In conclusion, Viktor’s academic journey, from his early education to his current research endeavors, reflects a deep commitment to addressing some of the most pressing global challenges. His work will undoubtedly leave a lasting legacy in the fields of natural resource and ecological economics, shaping the future of environmental management.

Notable Publications

. Controlling the stock or the habitat – The crisis of native invasive encroachment in the grazing land of Norwegian reindeer husbandry

Authors: Pham M. Nhat, Claire W. Armstrong, Kari Anne Bråthen, Maria Tuomi

Journal: Journal of Environmental Management

Year: 2024

 Environmental consequences of population, affluence and technological progress for European countries: A Malthusian view

Authors: Nhat Minh Pham, Toan Luu Duc Huynh, Muhammad Ali Nasir

Journal: Journal of Environmental Management

Year: 2020

Assoc Prof Dr. Tao Li | Decision-making and Problem-solving | Best Researcher Award

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Assoc Prof Dr. Tao Li | Decision-making and Problem-solving | Best Researcher Award

China university of mining and Technology, China 

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Scopus 

Early Academic Pursuits 🎓

Li Tao began his academic journey with a Bachelor’s degree from Sun Yat-sen University, where he cultivated a strong foundation in engineering principles. His undergraduate studies laid the groundwork for his future research endeavors, emphasizing a rigorous approach to problem-solving and a commitment to scientific inquiry.

In 2010, Li Tao embarked on his doctoral studies at Dalian University of Technology under the supervision of Professor Chui-jie Wu. His research during this period focused on advancing the understanding of combustion and detonation phenomena, setting the stage for his future work in microscale detonation technologies. His PhD work not only showcased his ability to tackle complex scientific problems but also demonstrated his dedication to pushing the boundaries of engineering knowledge.

Professional Endeavors 🛠️

Upon completing his PhD in 2016, Li Tao transitioned into a role as an Assistant Professor at Dalian University of Technology. This role marked the beginning of his contributions to the field of safety engineering and advanced combustion technologies. His work during this period involved both teaching and research, allowing him to disseminate his knowledge and contribute to the academic community.

In 2018, Li Tao joined the Guangzhou Institute of Energy Conversion as an Assistant Professor. This position provided him with a platform to further his research in energy conversion technologies, including microscale detonation. His work at this institute was marked by significant advancements in understanding flame acceleration and initiation mechanisms, particularly within curved tubes.

Since January 2024, Li Tao has been serving as an Associate Professor at the School of Safety Engineering, China University of Mining and Technology. This role has allowed him to continue his pioneering research while mentoring the next generation of engineers and scientists.

Contributions and Research Focus 🔬

Li Tao’s research focuses on addressing power and efficiency limitations in micro gas turbines through the advancement of microscale detonation technologies. His work has been pivotal in developing a novel technology route based on microscale detonation, which leverages curved tubes to enhance flame acceleration and initiation. This approach has led to several groundbreaking developments:

  • Novel Technology Route: Li Tao proposed a unique technology route involving microscale detonation with curved tubes, which has demonstrated significant improvements in flame acceleration and initiation. His research highlights how curved channels can influence detonation processes and improve performance.
  • Predictive Models: Through experimental measurements and direct numerical simulations, Li Tao developed predictive models for detonation distance and velocity deficits in curved tubes. These models have been instrumental in understanding and optimizing detonation processes.
  • Theoretical Analysis: His theoretical work elucidates the interaction mechanisms between pressure waves and flames during the high-speed flame phase. This analysis has provided valuable insights into the dynamics of flame behavior within curved tubes.
  • Micro Helical Detonation Chamber: Li Tao introduced a “micro helical detonation chamber + Tesla turbine” technology route to address challenges in micro-scale power systems. This innovative approach resulted in the development of an experimental prototype with potential solutions for issues such as low power output and high heat loss.

Accolades and Recognition 🏅

Li Tao’s contributions to the field have been recognized through various accolades and professional achievements. His innovative research and development efforts have earned him a reputation as a leading expert in microscale detonation technologies. His work has been published in prestigious journals, and he has been invited to present at numerous conferences and seminars, reflecting the impact and recognition of his research within the academic and professional communities.

Impact and Influence 🌟

Li Tao’s research has had a profound impact on the field of microscale combustion and energy conversion. His advancements in detonation technologies have the potential to revolutionize micro gas turbines, addressing critical issues related to power output, heat loss, and component performance. The successful development of his experimental prototype highlights the practical applications and potential of his research in real-world scenarios.

His work not only contributes to scientific knowledge but also influences the design and optimization of micro-scale power systems, which are crucial for various industrial and technological applications. Li Tao’s research has paved the way for further advancements in this field, establishing him as a key figure in the ongoing development of energy conversion technologies.

Legacy and Future Contributions 🔮

Li Tao’s legacy in the field of safety engineering and microscale detonation technologies is characterized by his innovative approach and commitment to solving complex engineering challenges. His research has set new standards for understanding and optimizing combustion processes, and his contributions will continue to influence future developments in micro gas turbines and energy systems.

Looking ahead, Li Tao is poised to make further contributions to the field through continued research and development. His focus on addressing the limitations of micro-scale power systems and exploring new technological routes will likely lead to additional breakthroughs and advancements. As he continues to push the boundaries of engineering knowledge, Li Tao’s work will remain a source of inspiration and progress in the field of microscale combustion technologies.

Notable Publications

Time-series prediction of settlement deformation in shallow buried tunnels based on EMD-SSA-GRNN model

Authors: Li, T., Shu, J., Chang, D.

Journal: Scientific Reports

Year: 2024

Wave propagation characteristics of fluid-containing soil granular materials at different frequencies under multiple dissipation mechanisms: A case study on calcareous sand in the South China Sea

Authors: Li, T., Shu, J., Li, Y., Huang, J., Galindo, R.

Journal: Computers and Geotechnics

Year: 2024

Automated method for structural modal identification based on multivariate variational mode decomposition and its applications in damage characteristics of subway tunnels

Authors: Li, T., Hou, R., Zheng, K., Zhang, Z., Liu, B.

Journal: Engineering Failure Analysis

Year: 2024

Propagation characteristics of dynamic wave in fluid-containing granular materials at unified high and low frequency

Authors: Li, T., Shu, J., Li, Y., Wu, B., Galindo, R.

Journal: Soil Dynamics and Earthquake Engineering

Year: 2024

Analytical Solution for Pipeline Settlement Law Using Shield Tunnel Excavation Underneath Based on Vlasov-Timoshenko Model Considering Lateral Soil Action

Authors: Li, T., Zheng, K., Peng, H., Zhang, Z., Liu, B.

Journal: International Journal of Geomechanics

Year: 2024

Dr. Haitham Afan |Decision-making and Problem-solving | Best Researcher Award

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Dr. Haitham Afan |Decision-making and Problem-solving | Best Researcher Award

Upper Euphrates Basin Developing Center, University of Anbar, Iraq

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🎓 Early Academic Pursuits

Haitham Abdulmohsin Afan’s journey into the world of engineering began with a Bachelor of Science in Dams and Water Resources Engineering from the University of Anbar, Iraq, in 2010. This foundational education set the stage for his deep interest in water resources engineering, a field that would become the cornerstone of his academic and professional career. His early academic years were marked by a strong dedication to understanding the complexities of water resource management, an essential discipline in a region where water scarcity and management are critical issues.

Driven by a desire to delve deeper into the intricacies of civil engineering, Afan pursued a Master’s degree in Civil Engineering with a specialization in Water Resources Engineering at the University Kebangsaan Malaysia. During this period (2012-2014), he honed his skills in the application of advanced engineering principles to water resource challenges, laying the groundwork for his future research. His master’s thesis, which focused on artificial intelligence-based models for streamflow forecasting, was a precursor to his later work in the field.

In 2017, Afan completed his Doctor of Philosophy (Ph.D.) in Civil Engineering, with a concentration in Water Resources Engineering, from the University Kebangsaan Malaysia. His doctoral research was distinguished by its innovative use of artificial intelligence (AI) techniques to address complex water resource issues. His work in developing predictive models for sediment transport and river flow forecasting using AI has been widely recognized and cited in academic circles, contributing significantly to the field of water resources engineering.

🛠️ Professional Endeavors

Afan’s professional journey is as impressive as his academic achievements. His career has been marked by roles in various academic and research institutions across the globe, each position contributing to his growing reputation as a leading expert in civil and water resources engineering.

After completing his Ph.D., Afan took on a role as a Research Assistant at the University Kebangsaan Malaysia, where he worked on a project focused on the use of computational modeling for transdisciplinary engineering applications. This early experience in multidisciplinary research set the stage for his future endeavors, where he would often integrate AI with traditional engineering disciplines.

In 2018, Afan joined the Sustainable Developments in Civil Engineering Research Group at Ton Duc Thang University (TDTU) in Ho Chi Minh City, Vietnam, as a Researcher. Here, he continued to push the boundaries of water resources engineering by exploring the applications of AI in sustainable development. His research during this period was critical in developing new methodologies for streamflow forecasting and heavy metal prediction in water bodies, contributing to environmental protection efforts in the region.

His postdoctoral work at the University of Malaya in Kuala Lumpur, Malaysia, further solidified his expertise. As a Post-Doctoral Research Fellow in the Faculty of Engineering, Afan worked on advanced projects that integrated AI into water resource management, enhancing the predictive capabilities of engineering models.

In 2020, Afan’s career took him to Duy Tan University (DTU) in Da Nang, Vietnam, where he served as a Researcher at the Institute of Research and Development. His work here continued to focus on AI applications in civil engineering, particularly in the areas of hydrology and water resource management.

He also served as a Lecturer and Coordinator of the Civil Engineering Faculty at Al Maarif University College (AUC) in Ramadi, Anbar, Iraq, from 2020 to 2023. During his tenure, Afan was responsible for teaching a variety of courses, including Water Resources Engineering, Hydrology, and Engineering Analysis. His efforts in curriculum development and student mentorship were instrumental in shaping the next generation of engineers in Iraq.

📚 Contributions and Research Focus

Haitham Abdulmohsin Afan’s research is characterized by its interdisciplinary nature and its focus on the application of artificial intelligence in civil engineering. Over the years, he has published 61 research papers, accumulating over 3,055 citations, with an impressive h-index of 30 and an i10-index of 52. These metrics underscore the impact of his work on the academic community.

Afan’s research has primarily focused on developing AI-based models for various aspects of water resources engineering. His work includes the use of artificial neural networks (ANN) and radial basis function neural networks (RBFNN) for predicting river flow, sediment transport, and heavy metal contamination in water bodies. These models have proven to be highly effective in improving the accuracy of predictions in hydrological studies, which are crucial for sustainable water resource management.

In addition to his research, Afan has made significant contributions as an editor and reviewer for several high-impact journals. He currently serves as an editor for the Iraqi Journal of Civil Engineering and has been a leading editor for the Complexity Journal. His expertise is also sought after by numerous other journals, including the Journal of Hydrology, Water Resources Management Journal, and Environmental Earth Science Journal, where he has been recognized as a reviewer.

🏆 Accolades and Recognition

Throughout his career, Afan has received numerous accolades for his contributions to the field of civil engineering. His research has been recognized by academic institutions and professional organizations alike. As a member of the Iraqi Engineers Union since 2010, Afan has been actively involved in the engineering community, both in Iraq and internationally.

His role as a recognized reviewer for prestigious journals is a testament to his expertise and the high regard in which he is held by his peers. The certificates and awards he has received from these journals are a reflection of his dedication to advancing the field of civil engineering through rigorous research and scholarly contributions.

🌍 Impact and Influence

Afan’s work has had a significant impact on the field of civil engineering, particularly in the area of water resources management. His research has not only contributed to academic knowledge but has also had practical applications in environmental protection and sustainable development. The AI models he has developed are being used to improve the management of water resources in regions facing challenges such as water scarcity, pollution, and climate change.

As a teacher and mentor, Afan has influenced the careers of many young engineers, instilling in them the importance of integrating technology with traditional engineering practices. His efforts in curriculum development and his commitment to student success have left a lasting legacy in the institutions where he has taught.

🚀 Legacy and Future Contributions

Looking forward, Haitham Abdulmohsin Afan is poised to continue his pioneering work in civil engineering. His ongoing research at the Upper Euphrates Basin Developing Centre at the University of Anbar, coupled with his editorial roles, positions him as a leading figure in the integration of AI with engineering. His future contributions are expected to further advance the field, particularly in areas related to sustainable water management and environmental protection.

Afan’s legacy will undoubtedly be marked by his innovative approach to engineering challenges and his commitment to advancing knowledge in his field. His work will continue to influence future generations of engineers, ensuring that his contributions to civil engineering will be felt for years to come.

Notable Publications 

Artificial intelligence based models for stream-flow forecasting: 2000–2015

Authors: Z.M. Yaseen, A. El-Shafie, O. Jaafar, H.A. Afan, K.N. Sayl

Journal: Journal of Hydrology

Year: 2015

Machine learning methods for better water quality prediction

Authors: A.N. Ahmed, F.B. Othman, H.A. Afan, R.K. Ibrahim, C.M. Fai, M.S. Hossain, …

Journal: Journal of Hydrology

Year: 2019

Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia

Authors: M. Hameed, S.S. Sharqi, Z.M. Yaseen, H.A. Afan, A. Hussain, A. Elshafie

Journal: Neural Computing and Applications

Year: 2017

ANN based sediment prediction model utilizing different input scenarios

Authors: H.A. Afan, A. El-Shafie, Z.M. Yaseen, M.M. Hameed, W.H.M. Wan Mohtar, …

Journal: Water Resources Management

Year: 2015

Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction

Authors: H.A. Afan, A. El-shafie, W.H.M.W. Mohtar, Z.M. Yaseen

Journal: Journal of Hydrology

Year: 2016