Jitae Kim | Econometrics and Statistical Economics | Excellence in Research Award

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Dr. Jitae Kim | Econometrics and Statistical Economics | Excellence in Research Award

Environmental Planning Institute | South Korea

Dr. Jitae Kim is a distinguished environmental and resource economist serving as a Senior Researcher at the Environmental Planning Institute of Seoul National University and as an Academic Research Professor with the Korea Research Foundation. He holds a Ph.D., M.A., and B.A. in Economics, completing all degrees at leading Korean universities, and has built a multidisciplinary research portfolio spanning environmental planning, climate economics, applied econometrics, labor-market dynamics, and carbon policy analysis. His scholarly work covers meta-regression valuation of biodiversity, cost–benefit assessments of ecological projects, econometric forecasting of energy demand, and empirical investigations of how climate extremes such as heatwaves and typhoons influence labor markets, wages, and informal work conditions. He has contributed extensively to research on carbon mitigation under the Korean Emissions Trading Scheme, the co-benefits of green remodeling, and the transition toward sustainable energy systems. His international collaborations include major research projects on climate-disaster-driven labor-market disruptions in the Philippines, conducted with academic partners at Ateneo de Manila University. His publications appear in respected international and Korean journals, complemented by multiple working papers, conference presentations, and policy-oriented studies. Based on publicly available academic profiles, he has 2 indexed documents and approximately 109 citations, with an estimated h-index of about 1, reflecting the early but growing influence of his work. Before advancing into academia and research leadership, he served in analytical roles with institutions such as the Korea Capital Market Institute and the Korea Labor Institute, contributing to evidence-based policy development in environmental, labor, and economic sectors. Through his expanding body of research, Dr. Kim continues to shape discussions on just transition, climate-risk adaptation, sustainable energy planning, and equitable climate-finance allocation, establishing himself as a rising scholar dedicated to bridging empirical analysis with practical environmental policy solutions.

Profiles: Scopus | Google Scholar 

Featured Publication

Kim, J., Hong, J. H., & Kim, J. (2025). Energy consumption forecasting of neighborhood living facilities: A panel regression approach.

Bahri Baran Kocak | Artificial Intelligence in Statistics | Big Data Analytics Award

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Dr. Bahri Baran Kocak | Artificial Intelligence in Statistics | Big Data Analytics Award

Dicle University | Turkey

Dr. Bahri Baran Kocak is a dedicated scholar in aviation management, serving as an Assistant Professor at Dicle University’s School of Civil Aviation, where he integrates teaching, research, and academic service with a strong interdisciplinary outlook. Holding a Ph.D. in Aviation Management from Anadolu University, his doctoral research focused on perceptual mapping of Turkish airline services on Twitter within the framework of positioning theory, reflecting his deep interest in digital consumer behavior and aviation analytics. His expertise spans AI techniques, multidimensional and time-series analysis, social media analytics, consumer behavior, psycholinguistics, and structural equation modeling, enabling him to produce research that blends methodological precision with practical relevance for the aviation industry. He has authored impactful journal articles on topics such as airline consumer engagement across platforms like Instagram and YouTube, consumer–brand relationships, web search behavior in airline markets, and deep learning-based airport demand forecasting using Google Trends. His book chapters further demonstrate his breadth, including studies on emoji engagement in airline social media communication and the role of big data in aviation innovation. Across his scholarly contributions, Kocak has consistently examined the intersection of digital behavior, marketing analytics, and aviation management, contributing valuable insights to both academic and industry audiences. According to available academic indexing sources, he has produced 3 documents, accumulated approximately 26 citations, and holds an h-index of 3, reflecting growing recognition of his work within the research community. His academic profile demonstrates a clear commitment to advancing knowledge in aviation management, digital analytics, and consumer engagement, supported by a strong analytical skill set and an expanding body of scholarly output.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Kocak, B. B. (2025). Utilizing online-centered big data in the airline industry. In Book chapter.

Koçak, B. B. (2025). How to use GenAI as a rater in marketing: A comprehensive GenAI-based content coding framework. Yönetim Bilimleri Dergisi.

KOÇAK, B. B. (2023). Comparison of artificial intelligence techniques for the UK air passenger short-term demand forecasting: A destination insight study. Journal of Aviation.

Koçak, B. B. (2021). Fly “With us”! Impact of consumer–brand relationship on consumer engagement: An empirical investigation on Turkish airline Instagram pages. Tüketici ve Tüketim Araştırmaları Dergisi, 13(2), 253–282.

Koçak, B. B. (2022). More than a thousand words!: Emoji engagement on Turkish airline Instagram pages. In Cases on developing effective research plans for communications and media studies.

Kocak, B. B., & Atalik, O. (2019). Perceptual maps of Turkish airline services for different periods using supervised machine learning approach and multidimensional scaling. International Journal of Sustainable Aviation.

Ki Ryong Kwon | Artificial Intelligence in Statistics | Best Faculty Award

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Prof. Ki Ryong Kwon | Artificial Intelligence in Statistics | Best Faculty Award

Pukyong National University | South Korea

Professor Ki-Ryong Kwon is an eminent and highly respected scholar in electronics engineering, artificial intelligence, and computer science, serving as a leading Professor in the Division of Computer Engineering and AI at Pukyong National University, South Korea. he pursued his academic journey at Kyungpook National University, where he completed his bachelor’s, master’s, and doctoral degrees in Electronics Engineering, later advancing his research expertise through a prestigious postdoctoral fellowship at the University of Minnesota under the mentorship of Prof. Ahmed H. Tewfik, followed by a visiting scholar appointment at Colorado State University that further broadened his international academic exposure. Throughout his long-standing academic career, Professor Kwon has demonstrated exceptional leadership by serving as Dean of the College of Engineering, Vice-Dean of Engineering, Director of the Artificial Intelligence Lab, Director of the Center for Start-up Foundation, Director of the Center of IP Transfer, and Vice-Director of Industry-University Foundation Cooperation, contributing extensively to academic development, research infrastructure advancement, and student innovation ecosystems. Beyond the university environment, he has played influential strategic roles as Chairman of the Global Fintech Industry Promotion Center, Vice-Chairman of the Korea Cloud Association, Vice-Chairman of the Busan Federation of Service Industry, and Chair of the 4th Industrial Revolution Leadership Promotion Team for Busan City, where he has been instrumental in guiding regional and national initiatives in AI-driven transformation, digital economy growth, and emerging technology integration. His contributions to the global research community include major leadership roles in IEEE, the Korea Multimedia Society, the Korea Information Processing Society, and multiple international conferences where he has served as General Chair, Industrial Chair, Program Chair, and Organizing Chair. His research encompasses deep learning, digital watermarking, image forensics, signal processing, marine AI applications, smart digital-twin systems, cybersecurity, and intelligent multi-agent architectures. With approximately 118 published research documents, around 1,309 citations, and an estimated h-index in the mid-20s, he maintains a strong and influential academic footprint. Over his career, he has been honored with numerous Best Paper Awards, national recognitions, institutional leadership awards, and international distinctions that reflect his outstanding dedication to research excellence, innovation leadership, and the advancement of technology-driven societal development.

Profile: Scopus

Abuchi Elebo | Design of Experiments (DOE) | Editorial Board Member

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Dr. Abuchi Elebo | Design of Experiments (DOE) | Editorial Board Member

Ahmadu Bello University | Nigeria

Dr. Abuchi Elebo is a highly driven analytical chemist and interdisciplinary researcher whose work bridges environmental science, materials chemistry, and data-driven modeling. Born on 24 July 1994 in Kaduna State, Nigeria, he completed his B.Sc. in Industrial Chemistry and subsequently earned his M.Sc. and Ph.D. in Analytical Chemistry from Ahmadu Bello University, Zaria. Over the years, he has amassed significant experience across academia and education, serving as a part-time lecturer at ABU, a senior education officer with the Kaduna State Universal Basic Education Board, and a laboratory instructor and research assistant in high-impact laboratories. His technical expertise spans chromatography (HPLC, GC, TLC), spectroscopic techniques (IR, NMR, UV-Vis, AAS, ICP-MS), and mass spectrometry, which he couples with modern statistical methods such as response-surface methodology and artificial intelligence to design and validate experimental protocols. He has published on corrosion inhibition using expired drugs, green nanoparticle synthesis, and biosorption from plant materials, among other topics, in high-quality peer-reviewed journals. His scientific contributions are quantified by an h-index of 3, demonstrating that at least that many of his papers have each received a comparable number of citations-an accepted metric of both productivity and impact in academia. Dr. Elebo is a member of the Chemical Society of Nigeria, the American Society for Microbiology, and holds professional teaching certification from the Teacher Registration Council of Nigeria. Alongside his research, he is passionate about teaching, mentorship, and community service, with prior voluntary engagement in secondary education during his NYSC service. His growing body of work reflects a consistent commitment to scientific excellence, capacity building, and sustainable solutions to environmental pollution leveraging both experimental and computational strategies..

Profiles: Scopus

Featured Publications

Elebo, A., & Abubakar, S. (n.d.). Elucidating the efficacy of vanillin-tryptophan Schiff base ligand for mitigating carbon steel corrosion: Weight loss, electrochemical, soft-computing, DFT, and MD-simulation.

Somayeh Bahramnejad | Survival Analysis and Reliability | Editorial Board Member

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Dr. Somayeh Bahramnejad | Survival Analysis and Reliability | Editorial Board Member

Sirjan University of Technology | Iran

Dr. Somayeh Bahramnejad is an accomplished Assistant Professor in the Department of Computer Engineering at Sirjan University of Technology, recognized for her scholarly impact and multidisciplinary contributions across reliability engineering, machine learning, image processing, computer architecture, and computer networks. She completed her B.S. degree in Computer Hardware Engineering at Ferdowsi University of Mashhad, earned her M.Sc. in Computer Architecture from Amirkabir University of Technology, and later obtained her Ph.D. in Computer Architecture from the University of Isfahan. With a steadily expanding academic portfolio, she has published influential research in reputable international journals, including Microelectronics Reliability, SN Computer Science, Computing, Computers & Electrical Engineering, and Scientia Iranica, contributing to a total of six peer-reviewed journal publications. According to her Google Scholar profile, she has accumulated 29 citations, an h-index of 3, and an i10-index of 1, demonstrating the visibility and growing influence of her research contributions. Dr. Bahramnejad has significantly advanced the field through innovative work on reliability improvement of SRAM-based FPGAs, reliability analysis of CR-VANETs, and the application of machine-learning methods for evaluating digital circuit reliability. She provides academic consultancy to seven M.Sc. students, supporting high-quality research, technical development, and scholarly productivity. Her professional presence on Google Scholar and ORCID ensures transparent documentation of her academic achievements and research outputs. Committed to interdisciplinary collaboration and impactful scientific inquiry, she focuses on designing robust, scalable, and reliable computing systems informed by both theoretical insight and practical need. With her dedication to excellence, mentorship, innovation, and long-term contributions to engineering research, Dr. Bahramnejad stands as a strong candidate for distinctions such as the Reliability Analysis Award, Best Researcher Award, Best Paper Award, Women Researcher Award, and Innovative Research Award, reflecting her potential for continued leadership within the global research community.

Profiles: Scopus | Orcid

Featured Publications

Bahramnejad, S. (2025). A fuzzy-arithmetic-based reliability assessment model for digital circuits (FARAM-DC). Microelectronics Reliability.

Bahramnejad, S., Movahhedinia, N., & Naseri, A. (2024). An LSTM-based method for automatic reliability prediction of cognitive radio vehicular ad hoc networks. SN Computer Science.

Bahramnejad, S., Movahhedinia, N., & Naseri, A. (2023). A deep learning method for automatic reliability prediction of CR-VANETs. Research Square.

Bahramnejad, S., & Movahhedinia, N. (2022). A fuzzy arithmetic-based analytical reliability assessment framework (FAARAF): Case study, cognitive radio vehicular networks with drivers. Computing.

Bahramnejad, S., & Movahhedinia, N. (2022). A reliability estimation framework for cognitive radio V2V communications and an ANN-based model for automating estimations. Computing.

Marina Bento | Causal Inference and Experimental Design | Best Researcher Award

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Ms. Marina Bento | Causal Inference and Experimental Design | Best Researcher Award

Federal University of Minas Gerais | Brazil

Ms. Marina Bento is a dedicated Brazilian biologist whose academic and professional journey reflects a strong commitment to advancing ecological research, biodiversity conservation, and the scientific understanding of subterranean ecosystems. Holding an M.Sc. in Ecology, Conservation and Wildlife Management from the Federal University of Minas Gerais (UFMG), she has built her expertise around the study of Neotropical bats, with a particular emphasis on cave-dwelling species in the Southern Espinhaço Range, a region of exceptional ecological and geological importance. Her research integrates rigorous ecological fieldwork with advanced statistical and quantitative approaches, enabling her to analyze species-habitat relationships, assess diversity patterns, and evaluate environmental and spatial drivers that shape the structure of bat communities. Throughout her graduate research, Marina conducted extensive, long-term field investigations inside iron-rich caves, areas that are both biologically unique and highly vulnerable due to expanding mining activities. Her pioneering M.Sc. project-“Diversity patterns of bats in caves of the Southern Espinhaço Range, Brazil”-provided the first comprehensive ecological evaluation of bat assemblages in this ecologically sensitive landscape. The study demonstrated that species turnover plays a dominant role in shaping community variation, while cave size, structural characteristics, and surrounding landscape changes significantly influence species richness and temporal patterns. The resulting publication in Mammalian Biology established Marina as an emerging researcher contributing high-quality scientific evidence to support conservation planning and environmental monitoring in regions threatened by habitat degradation. Beyond her academic accomplishments, Marina’s work serves an important conservation purpose: by revealing ecological dependencies and vulnerabilities within bat populations, her research offers critical insights for management strategies aimed at mitigating human impacts on subterranean wildlife. Her efforts underscore the ecological value of caves as biodiversity reservoirs and inform policies related to mining, land-use change, and species protection. Marina’s professional identity is grounded in interdisciplinary collaboration, field-based inquiry, and the application of quantitative methods to solve complex conservation challenges. With research interests spanning bat ecology, cave biology, biodiversity conservation, landscape ecology, and environmental monitoring, she has emerged as a promising scientist contributing meaningfully to the understanding of Brazil’s cave ecosystems. Her dedication to scientific integrity, conservation ethics, and evidence-based environmental stewardship continues to guide her work as she expands her research portfolio and establishes herself as a future leader in ecological and conservation sciences.

Profile:  Orcid

Featured Publication

Bento, M. M., Dias da Silva, L. H., da Silva, P. G., Dornellas, L. M. S. M., Pires, L. O., Auler, A. S., & Paglia, A. P. (2025). Diversity patterns of bats in caves of Southern Espinhaço Range, Brazil. Mammalian Biology, Advance online publication.

Akbar Esmaeili | Design of Experiments (DOE) | Editorial Board Member

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Prof. Akbar Esmaeili | Design of Experiments (DOE) | Editorial Board Member

 Islamic Azad University | Iran

Prof. Akbar Esmaeili, Ph.D., is a highly accomplished Professor in the Department of Chemical Engineering at the North Tehran Branch, Islamic Azad University, Tehran, Iran, and also serves as the Managing Director of the PINK WHITE ROSE Knowledge Enterprise Company. He earned his Ph.D. in Organic Chemistry from Islamic Azad University and has established himself as an influential researcher in tissue engineering, polymer science, and biomaterials. His pioneering investigations focus on the construction of biocompatible polymer-based heart valve scaffolds using advanced electrospinning and nanotechnological approaches. Dr. Esmaeili’s studies explore polyurethane, chitosan, polyvinyl alcohol, and polyaniline composite scaffolds, designed for superior biocompatibility, elasticity, and anticoagulant performance, contributing immensely to the progress of cardiovascular regenerative medicine. He is internationally recognized among the World’s Top 2% Scientists by Stanford University, with an h-index of 27, over 144 scientific publications, and more than 3,203 citations, reflecting his outstanding research productivity and global academic influence. Proficient in sophisticated analytical techniques such as NMR, HPLC, FTIR, SEM, XRD, and AFM, he exhibits comprehensive expertise in experimental and characterization methods. As an editor and reviewer for numerous prestigious international journals, including Acta Biochimica Polonica and Journal of Developmental Biology and Tissue Engineering, Dr. Esmaeili continues to inspire innovation and excellence in the interdisciplinary fields of chemistry, nanotechnology, and biomedical engineering.

Xu Ge | Statistical Applications in Engineering | Industrial Statistics Award

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Mr. Xu Ge | Statistical Applications in Engineering | Industrial Statistics Award

Shanghai Jiao Tong University | China

Mr. Xu Ge is a promising researcher specializing in control science, soft sensing, and intelligent systems, currently pursuing his Ph.D. at the UM-SJTU Joint Institute, Shanghai Jiao Tong University. He earned his Bachelor’s degree in Automation from the School of Mechanical Engineering and Automation at Harbin Institute of Technology (Shenzhen), where he consistently demonstrated academic excellence and technical innovation. Throughout his academic journey, Xu Ge has been recognized with numerous honors, including the prestigious National Scholarship, Topband Enterprise Scholarship, and First-Class Academic Scholarship. His university distinctions-Outstanding Student, Outstanding CYL Member, Outstanding Graduate, and Outstanding Thesis-further highlight his commitment to excellence. Xu has achieved remarkable success in national competitions, winning the ROBOCOM National First Prize, ROBOCON National Third Prize, the National Undergraduate Smart Car Competition (Outdoor Track) National Third Prize, and the National Undergraduate Mathematics Competition Provincial First Prize. His research experience reflects a strong interdisciplinary background bridging control engineering, machine learning, and system modeling. Notably, in the NSFC project “Online Estimation of Loads and Fatigue Life Prediction of Key Chassis Components under Random Driving Conditions,” he designed a soft-sensing framework that enables high-accuracy signal estimation through data-driven models and developed an embedded system for real-world vehicle testing. His collaboration with BYD on the “New Energy Vehicles Technology Program” showcased his expertise in robotics and deep learning, where he constructed datasets from BYD blade-battery modules and integrated neural networks with classical algorithms for precise robotic welding detection and operation. Xu Ge has contributed several impactful publications, including works in Mechanical Systems and Signal Processing and IEEE Transactions on Vehicular Technology, and papers accepted for presentation at IECON 2025. His accepted and submitted research covers a wide range of topics, such as vehicle sensor optimization, kernelized modeling for wheel load estimation, and battery electrochemical parameter identification through hybrid optimization methods. With his strong foundation in algorithm design, system integration, and data-driven control, Xu Ge continues to push the frontiers of intelligent mechanical systems and vehicular sensing technologies, aspiring to develop innovative, high-performance solutions that bridge theoretical advancements with industrial applications.

Profile: Google Scholar

Featured Publications

Ge, X., Li, M., Zhou, J., Qiu, Y., & Zhang, M. (2026). MMSE noncausal FIR based wheel force soft-sensing under Bernoulli-uniform prior. Mechanical Systems and Signal Processing, 242, 113601.

Ge, X., Zhang, M., Zhou, J., Chen, W., Li, X., & Li, M. (2025). Vehicle sensor configuration optimization for tire force estimation based on Min-Max SDP. In IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society.

Zeliha Coskun Tas | Statistical Applications in Engineering | Best Researcher Award

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Mrs. Zeliha Coskun Tas | Statistical Applications in Engineering | Best Researcher Award

Kocaeli University | Turkey

Mrs. Zeliha Coskun Tas is a distinguished researcher in the field of Biomedical Engineering, currently serving as a Research Assistant at Kocaeli University, Faculty of Technology, Biomedical Engineering Department. She is actively pursuing her Ph.D. at the Institute of Science, Kocaeli University, where she also completed her Master’s degree, following her Bachelor’s degree in Biomedical Engineering from Erciyes University. Her research expertise encompasses biomaterials, biometals, bioceramics, and functionally graded biomaterials, with a strong emphasis on developing innovative bioactive implant interfaces and evaluating biomechanical performance in medical applications. Zeliha Coskun Tas has authored and co-authored several impactful publications in high-ranking SCI-E journals, including the Journal of Biomedical Materials Research: Part A, World Neurosurgery, and the Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. Her study, “A Novel Radially Graded Hydroxyapatite-Based Composite for Bioactive Implant Interfaces,” reflects her commitment to advancing bioengineering materials for enhanced implant functionality. In addition, she has presented multiple peer-reviewed papers at international conferences in Italy and Turkey, focusing on 3D printing applications, biomechanical testing, and advanced implant design. Her research contributions have also extended to nationally funded projects supported by Kocaeli University’s Scientific Research Project Unit (BAP), where she played a leading role in projects such as Production and Characterization of Functionally Graded Ceramic and Polymer Doped Titanium Implants and Development of an Apparatus Design for Radial Gradient Powder Material Casting. Her earlier project, Development of Torsion and Four-Point Bending Test Systems for Finger and Toe Bones, demonstrates her interdisciplinary approach linking materials science and biomechanics. Beyond research, she actively contributes to the scientific community through peer reviews for reputed journals such as the Journal of Materials Engineering and Performance, Sakarya University Journal of Science, and Physical and Engineering Sciences in Medicine. A recipient of the TÜBİTAK 2211-C and 2214-A scholarships, she continues to pursue excellence in biomedical research with a focus on creating advanced, sustainable, and biocompatible materials for medical innovation. Through her dedication, academic rigor, and innovative research, Res. Asst. Zeliha Coskun Tas exemplifies the new generation of biomedical engineers shaping the future of healthcare technology.

Profiles: Google Scholar

Featured Publications

Coşkun, Z., Çelik, T., & Kişioğlu, Y. (2023). Metatarsal bone model production using 3D printing and comparison of material properties with results obtained from CT-based modeling and real bone. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 5.

Coşkun, Z., Çelik, T., & Kişioğlu, Y. (2021). Design and manufacture of the torque test setup for small and shapeless materials. Turkish Journal of Engineering, 6(1), 81–86.

Coşkun, Z., Çelik, T., & Kişioğlu, Y. (2021). Comparison of the stress distribution between high-heeled and flat shoes on the first metatarsal bone. Politeknik Dergisi, 24(3), 1303–1308.

Çelik, T., & Coşkun Taş, Z. (2024). Biomechanical evaluation of a newly developed functional-grade composite material for pedicle screws. World Neurosurgery, 187, e525–e533.

Coşkun Taş, Z., & Çelik, T. (2022). Design of new pedicle screw and biomechanical evaluation using finite element analysis. 3rd International Conference on Applied Engineering and Natural Sciences, 1.