Ling Huang | Emerging Research Trends | Best Researcher Award

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Prof. Ling Huang | Emerging Research Trends | Best Researcher Award

Nanjing Tech University | China

PUBLICATION PROFILE

Scopus

👨‍🔬 Summary

Prof. Ling Huang is a distinguished professor at Xinjiang University in China, specializing in Inorganic Chemistry, Rare Earth Chemistry, and Functional Materials. With over two decades of research and academic experience, his work focuses on areas such as rare earth luminescence, defect engineering, and advanced material applications. His expertise has led him to significant accolades, including being named a Fellow of the Royal Society of Chemistry (FRSC). Prof. Huang has also mentored numerous graduate students and postdoctoral researchers, leaving a lasting impact on the scientific community.

🎓 Education

Prof. Huang completed his Ph.D. in Inorganic Chemistry at Nanjing University (1996 – 2001) in China, following his B.Sc. in Chemistry from Jiangsu Normal University (1992 – 1996). His academic journey laid the foundation for his future research in chemistry and materials science.

💼 Professional Experience

Prof. Huang has held several prestigious positions throughout his career. He is currently a Professor at Xinjiang University (2021 – Present). Prior to this, he served as a professor at Nanjing Tech University (2012 – 2021), and as an associate professor at Nanyang Technological University in Singapore (2009 – 2012). His industry experience includes working as a Senior Research Scientist at Corning Inc., USA (2008 – 2009). Additionally, he has been a Post-Doctoral Research Associate at Northwestern University, Florida State University, and UC Berkeley, USA, where he honed his expertise in nanomaterials and rare earth chemistry.

📚 Academic Citations

Prof. Huang has authored over 180 publications, contributing significantly to the fields of luminescence and functional materials. Notable papers include “Abnormal But Rational: Luminescence Anti-Thermal Quenching in ScPO4:Er” and “Atomic Pr-Stabilized Pt Nanoclusters Accelerate Alkaline Hydrogen Evolution”, both of which are currently under review in prestigious journals such as Nature Communications and Angewandte Chemie.

🛠️ Technical Skills

Prof. Huang’s technical expertise covers a broad range of scientific fields. He is skilled in rare earth luminescence (upconversion/downshifting, anti-thermal quenching), material synthesis (creating functional ceramics, glasses, and solid-state electrolytes), and defect engineering (optimizing properties of materials through bandgap engineering and structural manipulation).

📖 Teaching Experience

Throughout his academic career, Prof. Huang has taught various courses at both the undergraduate and graduate levels. At Nanjing Tech University, he has taught courses such as Inorganic Chemistry, Luminescent Materials, and Advanced Nanomaterials (2014 – Present). Additionally, at Nanyang Technological University, he taught Bioelectronics, Chemistry I & II, and Biomedical Nanotechnology (2009 – 2012), shaping the education of future scientists and engineers.

🔬 Research Interests

Prof. Huang’s research interests lie at the intersection of rare earth chemistry and functional materials. He investigates luminescent materials, focusing on anti-thermal quenching and chiral luminescence. His research extends to functional materials, including solid-state fuel cells and optical devices, and solid-state chemistry, where he explores defect engineering to enhance the properties of materials for a variety of applications.

📚 Top Notes Publications 

Anti-thermal quenching upconversion luminescence of Cr3+ in Sc2(WO4)3:Yb/Cr

    • Authors: Yang Wei, Shuaihao Wu, Ran Chen, Yanqing Lu, Ling Huang

    • Journal: Nano Research

    • Year: 2025

Ultra-low temperature selective catalytic reduction of NOx into N2 by micron spherical CeMnOx in high-humidity atmospheres containing SO2

    • Authors: Xixi Chen, Peng Gao, Ling Huang, Zonghang Liu, Yuesong Shen

    • Journal: Applied Catalysis B: Environmental

    • Year: 2025

Orderly Stacked “Tile” Architecture with Single-Atom Iron Boosts Oxygen Reduction in Liquid and Solid-State Zn–Air Batteries

    • Authors: Bin Zhang, Jingshuang Dang, Hongyi Li, Ling Huang, Jingui Duan

    • Journal: Advanced Functional Materials

    • Year: 2025

RbB7O10(OH)2 and NaB11O16(OH)2: alkali metal hydroxyborates with two-dimensional layered structures and large birefringence

    • Authors: Yujing Zheng, Ke Li, Ling Huang, Fangfang Zhang

    • Journal: Dalton Transactions

    • Year: 2025

Regulating the Dynamics of Interpenetrated Porous Frameworks for Inverse C2H6/C2H4 Separation at Elevated Temperature

    • Authors: Kui Tan, Jingui Duan, Ling Huang

    • Journal: Angewandte Chemie International Edition in English

    • Year: 2025

Benjamin Teo | Energy and Utilities Analytics | Best Researcher Award

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Dr. Benjamin Teo | Energy and Utilities Analytics | Best Researcher Award

Imperial College London | United Kingdom

Publication Profile

Scopus

Orcid

Google Scholar

👨‍🔬 Summary

Dr. Benjamin H. W. Teo is a dedicated researcher with a focus on sustainable energy technologies, adsorption science, and additive manufacturing. Currently a UKRI Postdoctoral Fellow at Imperial College London, he explores solar technology performance and its integration with other renewable systems. Dr. Teo’s research also extends to polymer crystallization, Metal-Organic Frameworks (MOFs), and their applications in energy systems. With over 18 published journal articles and several international conference presentations, he has become a leading expert in his field, combining theoretical modeling with practical, industry-oriented solutions to address climate change.

🎓 Education

Dr. Teo completed his Ph.D. in Mechanical Engineering from Nanyang Technological University (NTU), Singapore (2014-2019). His doctoral research focused on the green synthesis and modulation of MOFs to enhance water adsorption properties for cooling applications. Prior to this, he earned a Bachelor’s degree in Mechanical Engineering with First Class Honours from NTU (2011-2014), and a Diploma in Mechatronics from Temasek Polytechnic, Singapore (2006-2009).

💼 Professional Experience

Dr. Teo’s professional career has been marked by key roles in leading institutions. As a UKRI Postdoctoral Fellow at Imperial College London (Sep 2023 – Present), he investigates solar cell performance in combination with sustainable technologies and conducts advanced heat transfer simulations. From 2019 to 2023, he worked as a Research Fellow at Nanyang Technological University, leading studies on polymer crystallization in additive manufacturing and contributing to industry collaborations. He also held the role of Project Officer (2019) at NTU, where he conducted extensive research on water adsorption in MOFs and zeolites for cooling system applications.

📚 Academic Cites & Publications

Dr. Teo has contributed extensively to the academic community with 18 journal publications, including 10 as the first author. His work covers topics such as MOF-based adsorption cooling systems and additive manufacturing, with publications in prestigious journals like Applied Thermal Engineering and Journal of Industrial and Engineering Chemistry. His research has garnered significant attention, evidenced by citations in high-impact journals. He has also shared his findings at numerous international conferences, including as an invited keynote speaker.

🛠️ Technical Skills

Dr. Teo possesses a wide range of technical skills, including material characterization techniques like X-ray diffraction (XRD), BET nitrogen adsorption, and scanning electron microscopy (SEM). He is proficient in computational modeling, utilizing Grand Canonical Monte Carlo (GCMC) simulations, phase-field modeling, and thermodynamic frameworks via MATLAB. His expertise also extends to additive manufacturing, where he studies polymer crystallization, melt flow viscosity, and their implications for 3D printed materials.

👩‍🏫 Teaching Experience

Dr. Teo has a strong background in teaching, currently serving as a Graduate Teaching Assistant at Imperial College London (Apr 2024 – Present), where he leads revision lectures and tutorials on Fluid Mechanics. He also volunteered as a Tutor at Nanyang Technological University (Aug 2022 – May 2023), receiving exceptional student feedback. As a Research Mentor, he has guided over 30 students through their final-year projects, with many achieving high academic success. Additionally, he taught Gas Turbine Engine Labs and other courses during his time at NTU, earning recognition for his effective teaching.

🔬 Research Interests

Dr. Teo’s research interests include sustainable energy technologies, particularly solar photovoltaic systems and their integration with other green technologies. He is also deeply involved in additive manufacturing, especially in studying polymer crystallization and its impact on the mechanical properties of 3D printed materials. Additionally, his work in adsorption science focuses on the development of MOFs for water adsorption and cooling applications, aiming to enhance energy efficiency and contribute to climate change mitigation strategies.

📚 Top Notes Publications

Mesoscale simulations of spherulite growth during isothermal crystallization of polymer melts via an enhanced 3D phase-field model

    • Authors: Weidong Li, How Wei Benjamin Teo, Kaijuan Chen, Jun Zeng, Kun Zhou, Hejun Du

    • Journal: Applied Mathematics and Computation

    • Year: 2023

Investigation of polyamide 12 isothermal crystallization through the application of the phase‐field model

    • Authors: How Wei Benjamin Teo, Van Thai Tran, Kaijuan Chen, Kim Quy Le, Hejun Du, Jun Zeng, Kun Zhou

    • Journal: Polymers for Advanced Technologies

    • Year: 2023

Effects of build positions on the thermal history, crystallization, and mechanical properties of polyamide 12 parts printed by Multi Jet Fusion

    • Authors: H. W. B. Teo

    • Journal: Virtual and Physical Prototyping

    • Year: 2022

Non-isothermal crystallization behaviour of polyamide 12 analogous to multi-jet fusion additive manufacturing process

    • Authors: H. W. B. Teo

    • Journal: Polymer

    • Year: 2021

Experimental and modeling investigation on the viscoelastic-viscoplastic deformation of polyamide 12 printed by Multi Jet Fusion

    • Authors: H. W. B. Teo

    • Journal: International Journal of Plasticity

    • Year: 2021

Jean Chamberlain Chedjou | Statistical Analysis | Best Researcher Award

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Assoc Prof Dr. Jean Chamberlain Chedjou | Statistical Analysis | Best Researcher Award

University of Klagenfurt | Austria

Author Profile

Scopus

EARLY ACADEMIC PURSUITS 📚

Assoc. Prof. Dr. Dr.-Ing. Jean Chamberlain Chedjou’s academic journey began with a strong foundation in electronics and physics. After earning his Bachelor’s degree in Physics from the University of Yaoundé, Cameroon, in 1990, he pursued a Bachelor’s Honors degree in Electronics, followed by a Master’s-equivalent DEA in Electronics. His passion for research led him to further his studies, culminating in a Doctorate (Doctorat de troisème cyle) in Electronics at the University of Yaoundé in 1999. Chedjou continued to expand his academic knowledge, attaining a Dr.-Ing. Degree in Electrical Engineering and Information Technology from Leibniz University of Hanover, Germany, in 2004. These early years laid the groundwork for his later contributions in systems optimization, dynamic systems modeling, and traffic simulation.

PROFESSIONAL ENDEAVORS 💼

Dr. Chedjou’s professional journey reflects a commitment to both teaching and research excellence. He started his academic career as a part-time Assistant Lecturer at the University of Yaoundé, followed by various faculty roles at the University of Dschang in Cameroon. His research experience expanded internationally through postdoctoral positions at Université Blaise Pascal, France, and the Abdus Salam International Centre for Theoretical Physics, Italy. These roles were instrumental in shaping his research focus on neural networks, simulation techniques, and dynamic systems modeling. Since 2009, Dr. Chedjou has served as an Associate Professor at Alpen-Adria-Universität Klagenfurt, Austria, where he has continued to excel in research and teaching.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Chedjou’s research is deeply centered on optimization in graph networks, particularly the development of neuro-processor solvers aimed at ultra-fast solutions for classical graph theoretical problems such as the Shortest Path Problem (SPP), Traveling Salesman Problem (TSP), and Minimum Spanning Tree (MST). He integrates his expertise in neural networks and cellular neural networks to advance simulation and optimization techniques, applying them to real-world challenges in systems simulation and nonlinear dynamics.

His work also extends to traffic modeling, electronic circuit design, and the analog computation of stiff differential equations, where his innovative approaches enhance the efficiency of simulation models. Moreover, Dr. Chedjou investigates the nonlinear dynamics of complex systems, addressing equilibrium states, chaos detection, and stability analysis, furthering understanding in fields like system theory, engineering, and telecommunications.

IMPACT AND INFLUENCE 🌍

Dr. Chedjou’s contributions have significantly impacted the academic and research communities, particularly in the areas of transportation informatics and systems modeling. His research in ultra-fast solvers and neurocomputing has paved the way for more efficient solutions to complex optimization problems. As an Associate Professor at Alpen-Adria-Universität Klagenfurt, his courses on methods of transportation informatics and simulation techniques have inspired countless students to explore these domains. His role as a mentor has helped shape future leaders in the field of systems technologies.

Additionally, Dr. Chedjou’s involvement in global research collaborations—such as his fellowships with the Abdus Salam International Centre for Theoretical Physics—demonstrates his commitment to international knowledge exchange and the advancement of applied sciences.

ACADEMIC CITATIONS AND RECOGNITIONS 🏅

Dr. Chedjou’s academic contributions are well-recognized globally. His innovative work in graph theory and simulation has earned him a place among respected researchers in his field. His commitment to excellence in teaching was highlighted in 2013 when he was honored with the Best Lecturer award at the University of Klagenfurt, a testament to his ability to convey complex concepts effectively and engage students in meaningful learning.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Dr. Chedjou’s legacy is defined by his pioneering research and his dedication to advancing the fields of optimization, dynamic systems, and transportation informatics. His current focus on neurocomputing for real-time simulation and optimization of nonlinear differential equations promises to influence various industries, from transportation to telecommunications.

Looking ahead, Dr. Chedjou continues to push the boundaries of systems simulation and modeling. His work on neuro-processor solvers and cellular neural networks is poised to revolutionize problem-solving strategies in complex networks, contributing to faster and more scalable solutions for modern engineering challenges. As a mentor, researcher, and academic, Dr. Chedjou’s future contributions will undoubtedly continue to inspire and shape the next generation of innovators and scholars.

📑 NOTABLE PUBLICATIONS 

Article: Impact of source (drain) doping profiles and channel doping level on self-heating effect in FinFET

Authors: Atamuratov, A.E., Jabbarova, B.O., Khalilloev, M.M., Blugan, G., Saidov, K.
Journal: Micro and Nanostructures
Year: 2025

Article: A special memristive diode-bridge-based hyperchaotic hyperjerk autonomous circuit with three positive Lyapunov exponents

Authors: Rong, X., Chedjou, J.C., Yu, X., Jiang, D., Kengne, J.
Journal: Chaos, Solitons and Fractals
Year: 2024

Article: Complex dynamic behaviors in a small network of three ring coupled Rayleigh-Duffing oscillators: Theoretical study and circuit simulation

Authors: Kamga Fogue, S.M., Kana Kemgang, L., Kengne, J., Chedjou, J.C.
Journal: International Journal of Non-Linear Mechanics
Year: 2024

Article: Coupling Induced Dynamics in a Chain-Network of Four Two-Well Duffing Oscillators: Theoretical Analysis and Microcontroller-Based Experiments

Authors: Venkatesh, J., Karthikeyan, A., Chedjou, J.C., Jacques, K., Karthikeyan, R.
Journal: Journal of Vibration Engineering and Technologies
Year: 2024

Article: A unique self-driven 5D hyperjerk circuit with hyperbolic sine function: Hyperchaos with three positive exponents, complex transient behavior and coexisting attractors

Authors: Vivekanandhan, G., Chedjou, J.C., Jacques, K., Rajagopal, K.
Journal: Chaos, Solitons and Fractals
Year: 2024

fuyou guo | Behavioral Economics Research | Best Scholar Award

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Assoc Prof Dr. fuyou guo | Behavioral Economics Research | Best Scholar Award

Qufu Normal University, China

Author Profile

Orcid

🎓 Early Academic Pursuits

Assoc Prof Dr. Fuyou Guo began his academic journey with a deep interest in economics, specifically the behavioral aspects that influence decision-making processes. His early academic years were spent at [university name], where he obtained his undergraduate and graduate degrees in economics. It was during his studies that Dr. Guo developed a keen interest in understanding how psychological factors shape economic choices, which laid the groundwork for his future research in behavioral economics.

💼 Professional Endeavors

After completing his studies, Dr. Guo entered the professional world, initially engaging in research roles that allowed him to delve deeper into the intricacies of behavioral decision-making. His professional trajectory took a significant turn when he joined Qufu Normal University, where he is currently an associate professor. His transition from theory to application in the context of behavioral economics has allowed him to bridge the gap between academic research and real-world economic phenomena, shaping policies and practices.

🔍 Contributions and Research Focus

Dr. Guo’s primary research interest lies in behavioral economics, where he explores how psychological insights can inform and explain economic decision-making. His research examines cognitive biases, social preferences, and individual behaviors that deviate from traditional economic models. By combining insights from psychology with economic theory, Dr. Guo has contributed to a better understanding of how people make financial decisions, engage in market behaviors, and respond to incentives in various contexts. His work often involves the use of experimental methods, aiming to test theoretical predictions against real-world behavior.

🌍 Impact and Influence

As a respected figure in the field of behavioral economics, Dr. Guo’s research has had a profound impact on both academic circles and practical applications. His work has been cited extensively in behavioral economics journals and by scholars exploring the intersection of psychology and economics. Through his research, Dr. Guo has influenced policymakers, businesses, and financial institutions in understanding consumer behavior and improving market outcomes. His insights have shaped strategies in consumer protection, market regulation, and public policy, where understanding irrational behavior is crucial.

📑 Academic Cites

Dr. Guo has authored numerous influential papers in behavioral economics, with his work being cited by scholars worldwide. His research on has appeared in high-impact journals, further cementing his reputation as a thought leader in his field. The consistent citation of his work reflects the practical importance and academic value of his contributions to the understanding of human behavior in economic contexts.

🖥️ Technical Skills

Dr. Guo’s technical expertise includes proficiency in advanced data analysis techniques, such as econometrics, experimental design, and statistical modeling. He is skilled in using tools such as R, Stata, and SPSS for analyzing behavioral data. His ability to design and conduct laboratory and field experiments has been instrumental in testing behavioral theories and uncovering new insights into how people make economic decisions. His technical skills are crucial in providing empirical evidence that supports or challenges existing economic models.

👨‍🏫 Teaching Experience

Dr. Guo has a wealth of teaching experience at Qufu Normal University, where he has instructed a variety of courses in economics, particularly focusing on behavioral economics, microeconomics, and decision theory. His teaching methodology combines theoretical foundations with real-world applications, ensuring students not only understand core principles but also the relevance of economics in everyday decision-making. Dr. Guo encourages critical thinking, problem-solving, and active engagement with the material. His dedication to student development is reflected in his guidance to graduate students working on research projects related to behavioral economics.

🌟 Legacy and Future Contributions

Dr. Guo’s legacy in behavioral economics is defined by his innovative approach to understanding human decision-making. His pioneering work has not only contributed to the academic body of knowledge but has also influenced policy, market design, and business strategy. As behavioral economics continues to grow as a field, Dr. Guo is poised to remain at the forefront, exploring new areas of research such as behavioral finance, social welfare, and global economic development. His future contributions will likely further transform the way economists, policymakers, and businesses understand human behavior, ensuring his enduring impact on both the academic community and broader society.

🚀 Future Directions

Looking ahead, Dr. Guo plans to expand his research into new dimensions of behavioral economics, focusing on topics such as digital decision-making, neuroscience and economics, and sustainability in economic behavior. His work in these areas could have significant implications for how markets evolve in response to rapidly changing technology and global challenges. Through collaboration with international scholars and institutions, Dr. Guo is likely to continue pushing the boundaries of the field and creating new opportunities for interdisciplinary research.

 

Top Noted Publications 📖

Intensity of Tourism Economic Linkages in Chinese Land Border Cities and Network Characterization

Authors: Jing Gan, Dongxue Zhang, Fuyou Guo, Erwei Dong

Journal: Sustainability

Year: 2024

Spatial Differentiation of Digital Rural Development and Influencing Factors in the Yellow River Basin, China

Authors: Jiamin Ren, Chenrouyu Zheng, Fuyou Guo, Hongbo Zhao, Shuang Ma, Yu Cheng

Journal: International Journal of Environmental Research and Public Health

Year: 2022

Spatio-temporal Differentiation and Driving Factors of Industrial Ecology of Restricted Development Zone from Adaptive Perspective: A Case Study of Shandong, China

Authors: Fuyou Guo, Siqi Gao, Lianjun Tong, Fangdao Qiu, Hengzhou Yan

Journal: Chinese Geographical Sciences

Year: 2021

Eco-Province Construction Performance and Its Influencing Factors of Shandong Province in China: From Regional Eco-Efficiency Perspective

Authors: Zhengju Jiang, Fuyou Guo, Cai Liping, Xiaoxiao Li

Journal: Sustainability

Year: 2021

Kuo-Ching Ying | Metaheuristics | Best Researcher Award

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Prof Dr. Kuo-Ching Ying | Metaheuristics | Best Researcher Award

National Taipei University of Technology, Taiwan

Author Profiles

orcid

Scopus

👨‍🏫 Current Position and Leadership Roles

Prof. Dr. Kuo-Ching Ying is currently a Distinguished Professor in the Department of Industrial Engineering and Management at National Taipei University of Technology, Taiwan. In addition to his role as a faculty member, he also serves as the Associate Dean of the College of Management and Vice Director of the EMBA Program at the university. His leadership positions reflect his deep commitment to advancing education and research in the fields of industrial engineering and management.

🎓 Early Academic Pursuits and Education

Prof. Ying’s academic journey began with a Master’s degree in Industrial Management from the National Taiwan University of Science and Technology in 1992. His academic pursuits culminated in a Ph.D. in Industrial Management from the same institution in 2003. His educational background provided the foundation for his current expertise in operations scheduling, combinatorial optimization, and various aspects of industrial management.

💼 Professional Endeavors and Editorial Contributions

Prof. Ying has significantly contributed to the academic community as an editor for several prestigious journals. He has been serving as an editor for Advances in Industrial Engineering and Management since December 2012 and has held editorial roles for other journals like IEEE Access (since 2018), Applied Sciences (since 2021), and American Journal of Operations Management and Information Systems (since 2020). His editorial work spans across more than 10 journals, underscoring his significant involvement in shaping the direction of research in industrial management and optimization fields.

🔬 Contributions and Research Focus

Prof. Ying’s primary research interests revolve around operations scheduling, combinatorial optimization, and industrial management. He has authored more than 130 academic papers in top-tier international journals such as IEEE Access, Computers and Operations Research, Applied Soft Computing, and European Journal of Operational Research. His research delves into innovative approaches to solving complex problems in industrial settings, particularly in operations management, manufacturing, and logistics.

🌍 Impact and Influence in Academia

Through his extensive research contributions and editorial roles, Prof. Ying has become a recognized figure in the fields of industrial engineering and management. His work has been cited numerous times in academic research, demonstrating his influence in advancing knowledge in operations scheduling and combinatorial optimization. His efforts have led to advancements in how industries manage production, operations, and logistics.

📚 Academic Citations and Recognition

Prof. Ying’s scholarly output has earned him wide recognition within the academic community. His work has been cited extensively across numerous journals, reflecting the importance and impact of his research. The high citation rate of his publications is a testament to the relevance and applicability of his work in both academic and industrial contexts. He is widely regarded as a thought leader in industrial management research.

💡 Technical Skills and Expertise

Prof. Ying possesses strong technical skills in areas such as operations research, optimization algorithms, and industrial management. He is particularly skilled in developing models and techniques for solving complex optimization problems related to manufacturing, logistics, and scheduling. His expertise in artificial intelligence and computational techniques further enhances his ability to contribute to cutting-edge research in these fields.

👩‍🏫 Teaching Experience and Mentorship

Prof. Ying has been a mentor to numerous students in the Department of Industrial Engineering and Management at National Taipei University of Technology. As an educator, he has significantly shaped the careers of many professionals in industrial management. His teaching philosophy emphasizes the application of theory to real-world problems, preparing students to tackle challenges in operations management and optimization. His experience in teaching and mentoring plays a key role in nurturing the next generation of scholars and industry leaders.

🌱 Legacy and Future Contributions

Prof. Ying’s legacy is already well established through his substantial academic achievements, his leadership in educational programs, and his continued contributions to the field. Looking ahead, he is likely to continue shaping the future of industrial engineering research, particularly in optimizing industrial processes and the integration of new technologies. His future contributions will likely focus on further advancing operations research, combinatorial optimization, and artificial intelligence applications in industrial contexts.

📖 Top Noted Publications 

Reinforcement Learning-based Alpha-list Iterated Greedy for Production Scheduling
  • Authors: Kuo-Ching Ying, Pourya Pourhejazy, Shih-Han Cheng
    Journal: Intelligent Systems with Applications
    Year: 2024
Minimizing makespan in two-stage assembly additive manufacturing: A reinforcement learning iterated greedy algorithm
  • Authors: Kuo-Ching Ying, Shih-Wei Lin
    Journal: Applied Soft Computing
    Year: 2023
Meta-Lamarckian-based iterated greedy for optimizing distributed two-stage assembly flowshops with mixed setups
  • Authors: Pourya Pourhejazy, Chen-Yang Cheng, Kuo-Ching Ying, Nguyen Hoai Nam
    Journal: Annals of Operations Research
    Year: 2023
Supply chain-oriented permutation flowshop scheduling considering flexible assembly and setup times
  • Authors: Kuo-Ching Ying, Pourya Pourhejazy, Chen-Yang Cheng, Ren-Siou Syu
    Journal: International Journal of Production Research
    Year: 2023
Adjusted Iterated Greedy for the optimization of additive manufacturing scheduling problems
  • Authors: Kuo-Ching Ying, Fruggiero, F., Pourhejazy, P., Lee, B.-Y.
    Journal: Expert Systems with Applications
    Year: 2022

Theresa Kühle | Data Analysis | Best Researcher Award

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Mrs. Theresa Kühle | Data Analysis | Best Researcher Award

Mrs. Theresa Kühle at Universität Münster, Germany

👨‍🎓Professional Profile

🌟 Summary

Theresa Kühle is a dedicated medical student at the University of Münster, Germany, with a strong focus on pediatric cardiology, prenatal medicine, and psychosomatic disorders. Passionate about research and clinical practice, she has presented at several medical congresses and published research in the field of fetal heart failure. As a Cusanuswerk scholarship recipient, she is committed to advancing in her medical career with international experience.

🎓 Education

Since 2019, Theresa has been studying medicine at the University of Münster, Germany. She also gained international medical experience at the Universidad de Valladolid, Spain, in 2023. Theresa completed her Abitur at Gymnasium Schloss Neuhaus, Paderborn, in 2018, with an outstanding grade of 1.0.

💼 Professional Experience

Theresa has gained extensive practical experience in hospitals and medical settings. Since 2024, she has been working as an OP student in the Department of Gynaecology and Obstetrics at St. Franziskus-Hospital in Münster. She also gained clinical experience in pediatrics, cardiology, neurology, urology, and psychosomatic medicine at the University Hospital Münster. In addition, she has been a tutor for a sonography course at her university since 2024.

📑 Academic Citations

In 2024, Theresa presented posters at the 65th DGGG Congress in Berlin and the 47th Tri-Nation Meeting in Salzburg. She has also published a research paper on “Dyssynchronous fetal heart failure in maternal diabetes” with Prof. Dr. Ralf Schmitz, highlighting her active involvement in medical research.

🛠️ Technical Skills

Theresa possesses advanced skills in sonography, as evidenced by her role as a tutor in the ultrasound course at the University of Münster. She has a deep understanding of prenatal diagnostics, particularly in echocardiography and M-mode software. In addition, she is fluent in English (C1/C2), Spanish (B2.2), and French (B2), with proficiency in Latin.

👩‍🏫 Teaching Experience

Theresa has enriched her teaching portfolio by serving as a tutor for the sonography course at the University of Münster since 2024. She has also gained hands-on teaching experience in psychosomatic treatments, pediatrics, and psychotherapeutic practices during her medical training.

🔬 Research Interests

Her research focuses on pediatric cardiology, particularly congenital heart defects, and prenatal medicine, with a specific interest in fetal heart failure caused by maternal diabetes. Additionally, Theresa is passionate about psychosomatic medicine and psychological health treatments for children and adolescents.

📖Top Noted Publication

Dyssynchronous Fetal Heart Failure in Maternal Diabetes: Evaluation with Speckle Tracking Echocardiography and Novel M-Mode Software

Authors: Theresa M. Kühle, Angela Burgmair, Georg Schummers, Mareike Möllers, Kathrin Oelmeier, Chiara De Santis, Helen Ann Köster, Ute Möllmann, Daniela Willy, Janina Braun, et al.

Journal: Ultrasound in Medicine & Biology

Year: 2024

Håkan Jankensgård | Quantitative Social Science Research | Best Researcher Award

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Dr. Håkan Jankensgård | Quantitative Social Science Research | Best Researcher Award

Dr. Håkan Jankensgård at Stockholm University, Sweden

Professional Profile👨‍🎓

Early Academic Pursuits 🎓

Dr. Håkan Jankensgård’s academic journey began with a strong foundation at Lund University, Sweden, where he completed both his MSc in Business Administration (2001) and later his PhD in Business Administration (2011). His dissertation, titled “Essays on Corporate Risk Management,” reflects his early academic focus on risk management, which has become the cornerstone of his research career. His education was further enriched by several specialized courses, including Lärarrollen vid universitet och högskola (2014) and The Good Lecture (2015), honing his teaching and supervisory skills.

Professional Endeavors 💼

Dr. Jankensgård’s professional career spans both academia and industry, bringing practical expertise into the classroom. From 2001 to 2003, he served as a Risk Manager at Norsk Hydro in Oslo, Norway, where he gained valuable real-world experience in corporate risk management. His consulting role at Lund, Sweden, from 2004 to 2012, deepened his understanding of corporate finance and risk strategies. This combination of academic excellence and hands-on industry experience makes him a well-rounded academic and consultant.

Contributions and Research Focus 🔍

Dr. Jankensgård’s research is centered on corporate risk management, with an emphasis on understanding how businesses navigate and mitigate financial risks. His work on the role of CEOs in risk management and his long-term study on the effectiveness of corporate risk management have made significant contributions to the field. His research has been supported by prestigious funding bodies like the Jan Wallander and Tom Hedelius Foundations, showcasing his reputation within the academic and professional community. Notably, his studies have questioned the true effectiveness of corporate risk management, offering new insights into the implementation and value of risk strategies in business.

Impact and Influence 🌍

Dr. Jankensgård’s influence extends far beyond his research. He has been actively involved in shaping the discourse on corporate finance, risk, and resilience. He regularly speaks at high-profile events, such as the Svenska Finansanalytikers Förbund and the Rotary Stockholm, and contributes to discussions on risk governance, strategy, and financial forecasting. As a member of various academic and professional committees, including his role on the FFUN committee at Lund University, he has been integral in shaping academic appointments and ensuring the integrity of academic processes.

Academic Citations 📚

Dr. Jankensgård’s research has garnered significant academic attention, with over 820 citations and an H-index of 13 on Google Scholar. His works are widely read, with 5,293 downloads on SSRN, placing him in the top 5% of authors on the platform. These numbers reflect his growing impact in the fields of corporate finance and risk management, as scholars and practitioners continue to engage with his work.

Technical Skills ⚙️

Dr. Jankensgård’s technical expertise is vast, particularly in risk management, corporate finance, and valuation. He has a deep understanding of financial markets, risk governance, and resilience strategies, all of which he integrates into his teaching and research. His ability to apply theoretical knowledge to real-world scenarios, combined with his technical proficiency in financial modeling and corporate strategy, has made him a sought-after consultant and speaker.

Teaching Experience 📚

Dr. Jankensgård’s teaching experience spans over a decade, during which he has developed and led several key courses. As the instructor and course director for courses like Managerial Finance, Corporate Risk Management, and Corporate Valuation at both Lund University and Stockholm University, he has impacted the education of hundreds of students. His courses have been highly ranked, with students consistently praising their relevance to future careers. Beyond course delivery, he is an active doctoral supervisor, guiding 8-15 thesis students annually and contributing to their academic growth.

Legacy and Future Contributions 🚀

Dr. Jankensgård’s legacy lies in his commitment to bridging theory and practice in corporate finance and risk management. As an educator, researcher, and industry expert, he continues to shape the future of the field. His ongoing research projects and speaking engagements suggest that his influence will only grow in the coming years. His contributions to understanding corporate risk, valuation, and resilience will continue to guide future research and industry practices.

YouTube Channel 📹

In addition to his academic work, Dr. Jankensgård has embraced digital media to further educate and engage with a wider audience. His YouTube channel, Jankensgard on Risk, launched in 2021, is dedicated to the theory and practice of risk management. With 250+ subscribers, it serves as an accessible platform for students, professionals, and enthusiasts interested in corporate risk strategies.

Doctoral Supervision 📝

Dr. Jankensgård is deeply involved in the academic development of doctoral students. He has supervised several PhD candidates, including Nick Christie, whose thesis explores financial constraints, risk, and investment. His active participation in doctoral committees, such as the grading of doctoral dissertations, further highlights his commitment to advancing academic knowledge and supporting the next generation of scholars.

 

Top Noted Publications 📖

Sogand Dehghan | social network analysis | Best Innovation Award

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Ms. Sogand Dehghan | social network analysis | Best Innovation Award

Ms. Sogand Dehghan at K. N. Toosi University of Technology, Iran

👨‍🎓Professional Profiles

Orcid Profile

Google Scholar  Profile

👩‍💻 Summary

Ms. Sogand Dehghan an Information Technology specialist with expertise in data analysis and software development. My work primarily focuses on collecting, cleaning, and analyzing data from various sources to create actionable reports and dashboards for organizational decision-making. I am passionate about using data-driven strategies to help businesses achieve their goals, with a particular interest in social media analysis and its alignment with organizational objectives. Additionally, I enjoy developing data-driven software solutions that enhance operational efficiency.

🎓 Education

Ms. Sogand Dehghan earned my Master’s Degree in Information Technology from K.N. Toosi University of Technology (2019-2022) and my Bachelor’s Degree in Information Technology with a grade of 97% from Payame Noor University (2012-2016). My thesis, titled “Provision of an Efficient Model for Evaluation of Social Media Users Using Machine Learning Techniques,” focused on leveraging machine learning to assess social media engagement and user behavior.

💼 Professional Experience

Ms. Sogand Dehghan currently hold two key roles: as an Instructor at National Skills University, where I teach courses on Advanced Programming and Data Analysis (since Sep 2024), and as a Data Analyst at GAM Arak Industry, where I focus on data mining, machine learning, and visualizing data insights using tools like Power BI, Python, SQL Server, and SSRS (since Jan 2024). Additionally, I serve as a Software Developer at GAM Arak Industry, working with C#, ASP.NET Core, and SQL Server to build scalable software solutions (since Apr 2023). In my previous role at Kherad Sanat Arvand (Apr 2022 – Jun 2023), I honed my skills in data analysis and dashboard development.

📚 Academic Citations

My research has been published in prestigious journals. My paper, “The Credibility Assessment of Twitter Users Based on Organizational Objectives,” was published in Computers in Human Behavior (Sep 2024), where I developed a model for assessing the credibility of Twitter users by integrating profile data with academic sources like Google Scholar. Another notable publication, “The Evaluation of Social Media Users’ Credibility in Big Data Life Cycle,” appeared in the Journal of Information and Communication Technology (Sep 2023), in which I reviewed existing frameworks for evaluating social media user credibility.

🔧 Technical Skills

My technical skill set includes expertise in C#, ASP.NET, Python, and SQL Server for software development. I specialize in Data Visualization with Power BI, Data Mining, Machine Learning, and Social Network Analysis. Additionally, I have a solid foundation in Text Mining and Data Modeling, which enables me to provide comprehensive solutions for data-driven challenges in various organizational contexts.

👨‍🏫 Teaching Experience

As an Instructor at National Skills University, I teach Advanced Programming and Data Analysis. I focus on equipping students with the skills needed to thrive in the data-driven world of technology. My approach integrates real-world data problems with theoretical knowledge to help students apply their learning in practical scenarios.

🔍 Research Interests

My research interests lie in the intersection of Machine Learning and Social Network Analysis. I am particularly interested in developing models to evaluate social media user credibility, integrating heterogeneous data sources for organizational decision-making, and exploring the broader implications of big data in evaluating trust and influence within social networks.

 

Tesfay Gidey | Statistical Modeling | Best Researcher Award

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Dr. Tesfay Gidey | Statistical Modeling | Best Researcher Award

Dr. Tesfay Gidey at Addis Ababa Science and Technology University, Ethiopia

👨‍🎓 Professional Profile

 📚 Early Academic Pursuits

Dr. Tesfay Gidey Hailu’s academic journey began with a strong foundation in Statistics at Addis Ababa University, where he earned his BSc with a minor in Computer Science. This rigorous curriculum equipped him with vital skills in statistical methods and computer programming, laying the groundwork for his future studies. He furthered his education with an MSc in Health Informatics and Biostatistics at Mekelle University, delving into advanced topics such as epidemiology and public health, which ignited his passion for applying data-driven solutions in healthcare.

💼 Professional Endeavors

Dr. Gidey has demonstrated remarkable leadership in academia, serving as Associate Dean at Addis Ababa Science and Technology University (AASTU) for multiple departments. His responsibilities included driving research initiatives, enhancing curriculum quality, and overseeing student services. Additionally, his role as Head of Department at Jimma University showcased his commitment to improving departmental operations and student satisfaction. His extensive experience in project management underscores his ability to lead technology projects effectively.

🔬 Contributions and Research Focus

Dr. Gidey’s research is centered on critical areas such as signal processing, indoor localization, and machine learning. His Ph.D. work at the University of Electronic Science and Technology of China focused on applying advanced algorithms to real-world problems, particularly in indoor positioning systems. His contributions to quality control in manufacturing industries and the modeling of public health data further highlight his dedication to leveraging data for impactful solutions.

🌍 Impact and Influence

Through his academic and professional endeavors, Dr. Gidey has significantly influenced the fields of Information and Communication Engineering and data science. His ability to bridge theory and practical application positions him as a valuable asset in technology-driven environments. His commitment to mentoring students and faculty alike has fostered a culture of innovation and continuous improvement within the institutions he has served.

📊 Academic Citations

Dr. Gidey’s scholarly work has gained recognition within academic circles, with several publications focusing on his research areas. His contributions to journals as a reviewer and author have enriched the body of knowledge in his fields, emphasizing the importance of interdisciplinary approaches to problem-solving.

🛠️ Technical Skills

Dr. Gidey is proficient in a variety of programming languages, including Python, R, Java, and C++. He is skilled in using statistical tools such as SAS, SPSS, and advanced machine learning packages. His expertise in data visualization and business intelligence tools, like Tableau and Power BI, equips him to extract meaningful insights from complex datasets.

👩‍🏫 Teaching Experience

With years of teaching experience, Dr. Gidey has effectively communicated complex subjects to students, ensuring they grasp fundamental concepts in information technology and data science. His ability to adapt his teaching methods to diverse learning styles has contributed to high levels of student engagement and success.

🌟 Legacy and Future Contributions

Dr. Gidey is dedicated to advancing the fields of data science and information engineering through research, teaching, and community engagement. His vision includes fostering collaborations between academia and industry, particularly in developing innovative solutions for public health and manufacturing. As he continues his career, Dr. Gidey aims to leave a lasting legacy that inspires future generations of engineers and data scientists.

📈 Conclusion

With a strong foundation in academic excellence, professional leadership, and research innovation, Dr. Tesfay Gidey Hailu stands poised to make significant contributions to the field of Information and Communication Engineering. His passion for data and commitment to actionable results ensure he will continue to drive progress and inspire those around him.

 

📖 Top Noted Publications

Theories and Methods for Indoor Positioning Systems: A Comparative Analysis, Challenges, and Prospective Measures
  • Author: Tesfay Gidey Hailu; Xiansheng Guo; Haonan Si; Lin Li; Yukun Zhang
    Journal: Sensors
    Year: 2024
Ada-LT IP: Functional Discriminant Analysis of Feature Extraction for Adaptive Long-Term Wi-Fi Indoor Localization in Evolving Environments
  • Author: Tesfay Gidey Hailu; Xiansheng Guo; Haonan Si; Lin Li; Yukun Zhang
    Journal: Sensors
    Year: 2024
Measurement Science and Technology
  • Author: Bright Awuku; Ying Huang; Nita Yodo; Eric Asa
    Journal: Measurement Science and Technology
    Year: 2024
Measurement Science and Technology
  • Author: Xun Zhang; Guanghua Xu; Xiaobi Chen; Ruiquan Chen; Jieren Xie; Peiyuan Tian; Sicong Zhang; Qingqiang Wu
    Journal: Measurement Science and Technology
    Year: 2024
Machine Learning: Science and Technology
  • Author: Omer Subasi; Sayan Ghosh; Joseph Manzano; Bruce Palmer; Andrés Marquez
    Journal: Machine Learning: Science and Technology
    Year: 2024
 MultiDMet: Designing a Hybrid Multidimensional Metrics Framework to Predictive Modeling for Performance Evaluation and Feature Selection
  • Author: Tesfay Gidey Hailu; Taye Abdulkadir Edris
    Journal: Intelligent Information Management
    Year: 2023