Sunawar Khan | Time Series and Forecasting | Research Excellence Award

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Mr. Sunawar Khan | Time Series and Forecasting | Research Excellence Award

National College of Business Administration | Pakistan

Mr. Sunawar Khan is a researcher, academic, and Peer Reviewer at Springer Nature with extensive experience in Artificial Intelligence, Machine Learning, Deep Learning, Smart Grids, Cyber Security, and intelligent data-driven systems. He has served in government education services and held academic roles as a Visiting Lecturer at the Islamia University of Bahawalpur, International Islamic University Islamabad, and as a Lab Administrator at the University of Central Punjab, Lahore. He holds an MS in Computer Science from International Islamic University Islamabad, along with degrees in Computer Science, Education, and Commerce. His research contributions span smart grids, renewable energy forecasting, intrusion detection systems, explainable AI, IoT, blockchain, healthcare analytics, and sustainable smart cities. Dr. Khan has authored and co-authored numerous high-impact journal articles published in leading outlets such as Scientific Reports, Discover Sustainability, Future Internet, IET Software, Measurement: Energy, Digital Communications and Networks, and Peer-to-Peer Networking and Applications. His work emphasizes applied AI solutions for sustainability, security, and performance optimization across diverse domains including energy, education, healthcare, and communication systems. With strong programming expertise in Java and Python, he combines analytical rigor with practical implementation, contributing to innovative research, interdisciplinary collaboration, and the advancement of intelligent technologies for societal benefit.

Citation Metrics (Scopus)

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Citations
308

Documents
19

h-index
9

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Xin Wang | Artificial Intelligence in Statistics | Best Paper Award

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Ms. Xin Wang | Artificial Intelligence in Statistics | Best Paper Award

Chang’an University | China

Ms. Xin Wang is a dedicated researcher in transportation engineering with a strong interdisciplinary background in engineering and economics. She is currently pursuing her PhD in Engineering at the College of Transportation Engineering, Chang’an University, where she specializes in travel behaviour research, traffic network modelling, optimal network toll problems, and econometric modelling of transport costs and efficiency. She previously earned a Master of Economics degree in Regional Economics and a Bachelor of Economics degree in Finance from Xi’an International Studies University, establishing a solid academic foundation that connects transportation systems with economic analysis. Her professional background includes serving as an Account Manager at the Bank of China, working as a Teaching Assistant at Xi’an International Studies University, and completing an internship as a Lobby Manager at the Bank of China, roles that strengthened her analytical capability, communication skills, and leadership experience. Throughout her academic journey, she has received multiple honors, including several College First-class and Second-class academic scholarships in recognition of her outstanding performance. Xin Wang has also participated in numerous key research projects and academic meetings, such as the World Transportation Convention, the Intelligent Operation and Management Evaluation of the Hong Kong-Zhuhai-Macao Bridge, the Higher Education Discipline Innovation Project 111 on sustainable transportation development in Western China, a research project on a MaaS-based public transportation integrated travel platform in Xi’an, and a study on financing and lending challenges faced by small and medium-sized enterprises. Her scholarly contributions include publications in respected journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Transport Geography, and Special Zone Economy. She is proficient in SPSS, ArcGIS, Endnote, Origin, EViews, Python, Photoshop, and Microsoft Office applications, supporting her research excellence. Fluent in English and Chinese with basic knowledge of French, Xin Wang is supervised by Professor Wei Zhou and is affiliated with the College of Transportation Engineering at Chang’an University in Xi’an, China.

Citation Metrics (Scopus)

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Citations
31

Documents
3

h-index
3

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Jian Xia | Artificial Intelligence in Statistics | Research Excellence Award

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Dr. Jian Xia | Artificial Intelligence in Statistics | Research Excellence Award

Hubei University of Automotive Industry | China

Dr. Jian Xia is a dedicated materials scientist specializing in next-generation electronic and photonic devices, with a strong academic foundation and a growing record of impactful research. He obtained his Ph.D. degree from the School of Materials Science and Engineering at Huazhong University of Science and Technology, where he developed expertise in resistive switching devices, phase-change materials, and advanced optical memory technologies. After completing his doctoral studies, he joined the Hubei University of Automotive Technology as a lecturer, contributing actively to both teaching and research in the field of electronic materials and integrated circuit design. Dr. Xia’s research interests encompass memristors, phase-change memory, and photonic neuromorphic devices, all of which hold promising applications in high-performance computing, data storage, and artificial intelligence hardware. He has undertaken notable research projects, including the Open Fund of the Hubei Key Laboratory of Energy Storage and Power Battery and the Doctoral Scientific Research Foundation of Hubei University of Automotive Technology. With a citation index of 361 and a research portfolio of 20 SCI-indexed publications, Dr. Xia has contributed articles to leading international journals such as Nature Communications, Laser & Photonics Reviews, ACS Photonics, Applied Physics Letters, IEEE Electron Device Letters, and Science China Materials. His innovative contributions are further demonstrated by nine patents that are either published or under review, highlighting his commitment to advancing practical and technologically significant developments in electronic device engineering. Although he has yet to hold editorial appointments or professional memberships, his scholarly influence continues to grow through strong research visibility and future collaboration potential. Dr. Xia maintains an active academic presence on platforms such as ResearchGate and continues to advance pioneering research aimed at developing energy-efficient, high-density, and neuromorphic computing devices to meet the evolving demands of modern information technology.

Citation Metrics (Scopus)

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Citations
361

Documents
7

h-index
5

Citations

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h-index


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Yuying Chen | Statistical Modeling and Simulation | Research Excellence Award

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Dr. Yuying Chen | Statistical Modeling and Simulation | Research Excellence Award

Jinling Institute of Technology | China

Dr. Yuying Chen is a dedicated materials scientist in the Department of Materials Engineering at the School of Materials Engineering, Jinling Institute of Technology, Nanjing, China, where she contributes extensively to research, teaching, and the advancement of materials innovation. She earned her Ph.D. in Materials Science from the Harbin Institute of Technology and enriched her international academic profile through a visiting Ph.D. appointment at the Department of Mining and Materials Engineering at McGill University in Montreal, Canada. Her academic background also includes a Master’s degree in Materials Science from the Harbin Institute of Technology and a Bachelor’s degree in Metal Materials Engineering from Shenyang University of Technology. Dr. Chen’s research expertise encompasses first-principles calculations, hydrogen storage materials, interface engineering, alloying effects, metal hydrides, and computational modeling of welding processes. She has authored 8 documents that investigate hydrogen adsorption and desorption mechanisms, Mg/Ni and Mg/Ti interface stability, alkali- and alkaline-earth-metal-doped hydrides, Zn-induced embrittlement behavior in steels, and advanced modeling techniques for underwater wet welding and duplex stainless-steel welding under acoustic and vibrational fields. Her scholarly contributions have accumulated 90 citations and reflect an impactful research profile with an h-index of 5, demonstrating the academic significance and visibility of her work within the materials science community. Over the course of her academic journey, Dr. Chen has received numerous accolades, including Merit Student awards, multiple University Fellowships, Outstanding Student Leader recognition, and acknowledgment as an Excellent League Member at Harbin Institute of Technology. She has presented her research findings at major scientific gatherings, including the International Conference on Computational Design and Simulation of Materials and the Chinese Materials Conference. With a strong record in computational materials science and interface behavior, Dr. Chen continues to advance innovative methodologies and scientific understanding toward the design, optimization, and reliability of next-generation materials systems.

Profiles: Scopus | Orcid

Featured Publications

Chen, Y., Dai, J., & Song, Y. Catalytic mechanisms of TiH2 thin layer on dehydrogenation behavior of fluorite-type MgH2: A first principles study.

Chen, Y. Y., Dai, J. H., Xie, R. W., & Song, Y. A first-principles study on interaction of Mg/Ni interface and its hydrogen absorption characteristics.

Chen, Y. Y., Dai, J. H., Xie, R. W., Song, Y., & Bououdina, M. First principles study of dehydrogenation properties of alkali and alkali-earth metal doped Mg₇TiH₁₆.

Chen, Y. Y., Dai, J. H., & Song, Y. Stability and hydrogen adsorption properties of Mg/Mg₂Ni interface: A first principles study.

Dai, J. H., Chen, Y. Y., Xie, R. W., & Song, Y. Influence of alloying elements on the stability and dehydrogenation properties of Y(BH₄)₃ by first principles calculations.

Liangcan He | Design of Experiments (DOE) | Research Excellence Award

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Dr. Liangcan He | Design of Experiments (DOE) | Research Excellence Award

Harbin Institute of Technology | China

Dr. Liangcan He is a distinguished Professor at the School of Medicine and Health, Harbin Institute of Technology, China, where he leads advanced interdisciplinary research programs focused on biomaterials, nanomedicine, multimodal imaging, and bio-nano interface engineering. His scientific work spans the design, synthesis, and biomedical translation of organic–inorganic nanoclusters, functional nanomaterials, therapeutic hydrogels, DNA nanotechnology, and stimuli-responsive nanosystems for diagnostic and therapeutic applications. Before joining his current institution, he completed a highly productive postdoctoral fellowship at the National Institutes of Health under the mentorship of Dr. Xiaoyuan (Shawn) Chen, where he developed cutting-edge nanoplatforms for NIR-II imaging, X-ray-mediated dynamic immunotherapy, responsive nanoparticle assemblies, and cascade-reaction-based photodynamic therapy. He also served as a Senior Research Associate and Research Associate at the University of Colorado Boulder’s Soft Materials Research Center, working closely with leading investigators across materials science, chemical engineering, optical engineering, and nanobiotechnology. During this period, he contributed significantly to DNA-programmable nanoparticle crystallization, MOF-based hybrid therapeutic systems, plasmon-enhanced upconversion luminescence, single-particle photophysics, engineered UCNP–Au nanostructure assemblies, and DNA-origami-directed enzymatic cascade architectures. Dr. He received his Ph.D. in Chemistry from Tsinghua University and conducted parallel research at the National Center for Nanoscience and Technology under the supervision of Prof. Zhiyong Tang and Prof. Yadong Li, where he worked extensively on plasmonic nanoparticle@MOF core–shell systems, catalytic nanomaterials, graphene-oxide-integrated hybrid structures, yolk–shell nanostructures for controlled release, supraparticle-based photocatalysis, and chiral coordination polymer assemblies. His current research continues to advance critical frontiers such as photothermal therapy, radiosensitization, microenvironment-responsive nanoreactors, injectable biomaterials for tissue repair, bioinspired catalytic systems, and multifunctional hydrogel-based therapeutic platforms. Dr. He has authored more than 76 peer-reviewed publications, achieving over 6,130 citations and an H-index of 33, underscoring his global impact in nanobiotechnology, functional materials, and translational biomedical engineering. He has also contributed as Guest Editor for the Special Issue “Research Progress of Bioimaging Materials” in the International Journal of Molecular Sciences. With a strong interdisciplinary foundation bridging chemistry, nanoscience, materials engineering, and biomedical translation, he is recognized as a leading innovator in the development of functional nanomaterials for precision imaging, sensing, biosystem modulation, and advanced therapeutic strategies.

Profiles: Scopus | Orcid

Featured Publications

Zhang, R., Ma, Q., Zheng, N., Wang, R., Visentin, S., He, L., & Liu, S. (2025). Plant polyphenol-based injectable hydrogels: Advances and biomedical applications.

Huihui Hong | Health Statistics and Public Health Analysis | Research Excellence Award

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Dr. Huihui Hong | Health Statistics and Public Health Analysis | Research Excellence Award

Chongqing University | China

Dr. Huihui Hong is an Assistant Research Fellow and Postdoctoral Fellow at the School of Medicine, Chongqing University, whose research spans environmental toxicology, occupational health, and molecular mechanisms underlying pollutant-induced diseases. With academic training that includes a doctoral degree in Occupational and Environmental Health from Zhejiang University and a bachelor’s degree in Preventive Medicine from Hangzhou Normal University, she has built a strong foundation in toxicological mechanisms, environmental exposure assessment, and cellular pathology. Dr. Hong’s research focuses on the biological consequences of exposure to heavy metals and environmental pollutants, such as cadmium, manganese, paraquat, and dissolved organic matter, and she explores how these toxicants interfere with metabolic regulation, β-cell function, lipid homeostasis, mitochondrial integrity, neuronal signaling, and inflammatory responses. Her work has revealed critical mechanistic insights, including pollutant-induced ferroptosis through axes such as Gpx4/Ager/p65, mitochondrial dysfunction-dependent β-cell impairment, lipidomic disturbances contributing to diabetes progression, and neuroinflammatory pathways leading to Parkinson-like phenotypes. She has also contributed to understanding the molecular impact of chlorination disinfection on dissolved organic matter in surface water sources and how such transformations influence cytotoxicity, advancing environmental health risk assessment. Dr. Hong has authored more than twenty scientific publications, many as first author or corresponding author, in prominent international journals covering environmental science, toxicology, and public health. According to current bibliometric sources, her scholarly output has accumulated approximately 466 citations, and based on citation distribution, her estimated h-index is in the mid-teens, demonstrating strong research visibility and influence at an early stage in her career. In addition to elucidating pollutant-driven metabolic and neurological injury, she frequently collaborates across multidisciplinary teams to integrate metabolomics, lipidomics, molecular biology, and in vivo toxicology, strengthening the translational relevance of her findings. Through this combination of methodological rigor, mechanistic depth, and sustained productivity, Dr. Hong continues to expand her impact within environmental toxicology, contributing valuable knowledge toward understanding how environmental exposures shape human health risks and guiding future intervention or prevention strategies within public health and environmental safety domains.

Profile: Scopus

Featured Publication

Hong, H., Liu, S., Yang, T., Lin, J., Luo, K., Xu, Y., Li, T., Xi, Y., Yang, L., Lu, Y.-Q., Yuan, W., & Zhou, Z. (2025). Manganese exposure induces parkinsonism-like symptoms by Serpina3n–TFEB–v/p-ATPase signaling mediated lysosomal dysfunction. Cell Biology and Toxicology, 41, Article 34.

Dujiang Yang | Clinical Trials and Statistical Designs | Research Excellence Award

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Mr. Dujiang Yang | Clinical Trials and Statistical Designs | Research Excellence Award

The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University | China

Mr. Dujiang Yang is an emerging clinician-scientist in Traditional Chinese Medicine Orthopedics & Traumatology at Southwest Medical University, whose rapid academic growth and extensive publication record have positioned him among the most productive young researchers in his field, he completed advanced training at the Affiliated Hospital of Traditional Chinese Medicine, where he served as a spine-track resident physician and postgraduate researcher under Professor Guoyou Wang, contributing deeply to multiple national and provincial scientific projects. As first author, Yang has published 37 SCI-indexed papers, including numerous Q1 journals such as Annals of the Rheumatic Diseases, Journal of Extracellular Vesicles, Advanced Science, Chemical Engineering Journal, Leukemia, and Angiogenesis, covering topics spanning musculoskeletal regeneration, tumor microenvironment immunology, ferroptosis in osteoarthritis, disc repair biology, metabolic bone disease, and translational nanotechnology. His overall research impact is reflected in an estimated h-index of 2, 42 documents, and over 7 citations, demonstrating strong recognition across basic and translational medicine communities. Beyond research, he has gained substantial clinical proficiency, mastering lumbar fusion procedures, spinal fixation, PVP/PKP, trauma management, and more than 200 independent suturing cases. Yang has earned major distinctions including multiple first-class scholarships, Outstanding Graduate awards at both undergraduate and postgraduate levels, Excellent Youth Researcher recognitions. His technical skillset includes Western blotting, RT-PCR, flow cytometry, cell culture, molecular assays, animal experiments, advanced literature analysis, and scientific writing using GraphPad Prism and ImageJ. Combining rigorous clinical training, high-level publication output, and cross-disciplinary research capability, DuJiang Yang represents a driven, evidence-focused young scholar with strong potential for future leadership in musculoskeletal medicine and regenerative therapeutics.

Profile: Scopus 

Featured Publications

Yang, D., Yang, L., Yang, J., & Wang, G. (2025). Dual-targeting biomimetic nanoplatforms for tumor microenvironment-immune remodeling. Chemical Engineering Journal, 526, 171226.

Yang, D., Yang, J., Xu, H., & Wang, G. (2025). Minimal dose, maximal scrutiny: A critical appraisal of the feasibility and functional implications of a reduced-volume Nordic hamstring exercise protocol. Scandinavian Journal of Medicine & Science in Sports, 35(12)

Yang, D., & Wang, G. (2025). Beyond quantity: The nonlinear association between HDL cholesterol and coronary atherosclerosis. Atherosclerosis, 411, 120561.

Yang, D., & Wang, G. (2025). MSC-delivered CXCL10 for solid tumors: Navigating the translational hurdles from precept to clinic. Biomedicine & Pharmacotherapy, 193, 118735.

Chokri Aloui | Operations Research and Statistical Optimization | Research Excellence Award

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Dr. Chokri Aloui | Operations Research and Statistical Optimization | Research Excellence Award

University of Sousse | Tunisia

Dr. Chokri Aloui is an Assistant Professor at the Faculty of Economics and Management, University of Sousse, and a researcher at the Laboratory of Research in Innovation Management and Sustainable Development, Sousse Higher Institute of Management, specializing in microeconomics, industrial organization, platform and network economics, environmental economics, and the economic appraisal of development projects. He holds a Ph.D. in Economics from Sousse University, preceded by a Master’s degree from Tunisia Polytechnic School and a Bachelor’s degree from Jendouba University, and his academic trajectory reflects a consistent focus on network externalities, two-sided markets, competition, and digital economy dynamics. His teaching portfolio spans industrial economics, microeconomics at various levels, game theory, markets and strategies, development project appraisal, and business simulation, demonstrating broad expertise across applied and theoretical microeconomics. His research contributions include influential works on platform capacity sharing, congestion pricing, net neutrality, corporate social responsibility in two-sided platforms, and environmental certification within international trade, published in journals such as Economic Modelling, Networks and Spatial Economics, Managerial and Decision Economics, the International Review of Economics, and The Manchester School. Across his scholarly output, he has produced multiple peer-reviewed articles and maintains an active presence on platforms such as Google Scholar and ResearchGate. His Scopus profile reports approximately 43 citations, an h-index of 3, and a set of documents reflecting his ongoing research productivity. Overall, Chokri Aloui stands out as a researcher whose work integrates rigorous modeling with practical economic policy implications, contributing meaningfully to the understanding of digital markets, innovation, environmental responsibility, and development-oriented economic assessments.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Gangai Selvi | Econometrics and Statistical Economics | Women in Statistics Award

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Dr. Gangai Selvi | Econometrics and Statistical Economics | Women in Statistics Award

Tamil Nadu Agricultural University | India

Dr. R. Gangai Selvi, M.Sc., M.Phil., Ph.D., is a distinguished Professor of Statistics in the Department of Physical Sciences and Information Technology at the Agricultural Engineering College and Research Institute, Tamil Nadu Agricultural University (TNAU), Coimbatore, known for her exemplary contributions to teaching, research, and academic development. She holds a Ph.D. in Econometrics from TNAU, an M.Phil. and M.Sc. in Statistics, and a B.Sc. from PSG College of Arts and Science, along with a Diploma in Computer Applications and certifications in programming, reflecting a strong foundation in both statistical theory and computational methods. Dr. Gangai Selvi’s areas of specialization encompass Econometrics, Spatial Econometrics, Applied Statistics, Design of Experiments, Data Analytics, Biostatistics, and Statistical Methods, complemented by her proficiency in statistical software including R, SAS, SPSS, SYSTAT, and STATA. She has developed innovative ICT-based learning tools, most notably the “TNAU Statistics Quiz” Android Mobile App and its corresponding software version, both officially recognized with copyrights for their contribution to student learning and competitive exam preparation, including ICAR and other agricultural examinations. In addition, she has mentored numerous students in technology-enhanced education initiatives, guided mobile app development projects, and created educational YouTube content to support interactive learning. Her teaching portfolio spans undergraduate, postgraduate, and doctoral courses, covering a wide range of topics such as Applied Statistics, Statistical Methods, Design of Experiments, Statistical Inference, Sampling Techniques, Econometrics, Biostatistics, Multivariate Analysis, Regression Analysis, and Statistical Quality Control, reflecting her commitment to cultivating analytical and research skills among students. Her research experience includes serving as Principal Investigator and Co-Principal Investigator on major projects, focusing on areas such as big data analytics, crop yield prediction, agricultural variability, and spatial econometric modeling, with outcomes contributing significantly to the field of agricultural statistics. Dr. Gangai Selvi’s scholarly work, combined with her innovative approach to education and technology integration, establishes her as a respected academic, educator, and thought leader in statistical and econometric research.

Profiles: Google Scholar | Orcid

Featured Publications

Weijia Han | Design of Experiments (DOE) | Research Excellence Award

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Assoc Prof. Dr. Weijia Han | Design of Experiments (DOE) | Research Excellence Award

Wuhan Textile University | China

Assoc Prof. Dr. Weijia Han is an accomplished researcher in physics, materials science, and microelectronics, currently serving as a Lecturer at the School of Microelectronics, Wuhan Textile University, China. He has developed a strong international academic background through his roles as a Postdoctoral Researcher in Experimental Physics and Functional Materials at the Brandenburg University of Technology in Germany, a Guest Scientist at the Leibniz Institute for High Performance Microelectronics in Frankfurt (Oder), and a Research Associate at Osnabrück University as well as the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. He holds a PhD in Physical Chemistry from Osnabrück University, a Master’s degree in Applied Physics from Xiangtan University, and a Bachelor’s degree in Physics from Huanggang Normal University. His research focuses on plasmonic and photonic nanostructures, including plasmonic titanium nitride nanohole arrays, metamaterial narrowband absorbers, graphene-based composites, and insect-inspired nanostamping technologies. His work spans design, simulation, nanofabrication, and extensive optical and structural characterization, using tools such as electron microscopy, atomic force microscopy, Raman imaging, X-ray diffraction, FTIR, spectroscopy, and advanced photocurrent measurement systems. He has contributed significantly to several national and international projects involving on-chip optical sensors, CMOS-compatible plasmonic devices, and refractive-index sensor engineering. His scholarly output includes numerous peer-reviewed publications in high-impact journals, and his research performance is reflected in an h-index of 4, with approximately 49 citations across over 11 scientific documents, demonstrating strong global visibility and influence. In addition, he is co-inventor on a Chinese patent related to black phosphorus flake preparation. Known for his creativity, analytical strengths, and problem-solving skills, he is highly self-motivated, collaborative, and deeply committed to innovation in electronic engineering, sensor technology, and advanced material systems.

Profiles: Scopus | Google Scholar 

Featured Publications