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
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Featured Publication

 

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.

Vikas Mehta | Statistical Computing and Programming | Research Excellence Award

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Dr. Vikas Mehta | Statistical Computing and Programming | Research Excellence Award

Korean National Institute for International Education | South Korea

Dr. Vikas Mehta is a structural engineer and researcher specializing in seismic performance optimization, sustainable construction materials, and the application of advanced computational and machine learning methodologies to civil infrastructure systems. He completed his Ph.D. in Civil Engineering at Keimyung University, South Korea, where his award-winning doctoral research introduced innovative modifier-based and data-driven techniques for improving shear strength prediction and design accuracy in reinforced concrete beam-column joints. His expertise spans nonlinear finite element modeling, fragility analysis, physics-informed and graph-based machine learning, geospatial analytics, and performance-based seismic assessment, supported by strong proficiency in ETABS, OpenSees, SeismoSoft, Abaqus, MATLAB, Q-GIS, SPSS, Python, PyTorch, WEKA, and OriginPro. Dr. Mehta serves as a Postdoctoral Researcher at the Chonnam National University R&BD Foundation, contributing to advanced safety technologies for nuclear power plant structures under extreme hazard scenarios, including buckling resistance enhancement, retrofit optimization, and complex wind–terrain interaction studies. His professional background includes academic appointments in structural and construction engineering, where he taught subjects in earthquake engineering, finite element analysis, and structural systems while supervising graduate research and contributing to curriculum and laboratory development. Dr. Mehta has authored a substantial body of SCI-indexed research on seismic damage prediction, torsional behavior modeling, hybrid AI-mechanics frameworks, recycled and sustainable materials, computational methods, and structural performance evaluation, complemented by multiple patents in construction materials, damping devices, and waste-based composites. He has presented at leading international and national conferences and contributed to funded collaborative research, including projects involving global academic and industry partners. His professional affiliations include membership in ASCE, the Institute of Physics (AMInstP), IAEME (Fellow), and licensure as a Class-A engineer under the Himachal Pradesh Town and Country Planning Act. Dr. Mehta’s contributions to structural engineering and computational mechanics continue to gain international visibility, reflected in an h-index of 7, over 172 citations, and more than 19 published documents, underscoring his growing influence in machine learning–driven structural design, seismic resilience, and sustainable construction innovation.

Profiles: Scopus | Orcid

Featured Publications

Mehta, V., Jang, S. H., & Chey, M. H. (2025). Corrigendum to “Adaptive simulation and data-driven hybrid modeling for predicting shear strength and failure modes of interior reinforced concrete beam-column joints”.

Mehta, V., Jang, S. H., & Chey, M. H. (2025). Predictive framework for shear strength and failure modes of exterior reinforced concrete beam–column joints using machine learning. Structural Concrete. h.

Sagar, G. S., Mukthi, S., & Mehta, V. (2025). Analyzing compressive, flexural, and tensile strength of concrete incorporating used foundry sand: Experimental and machine learning insights. Archives of Computational Methods in Engineering.

Mehta, V., Thakur, M. S., & Chey, M. H. (2025). Enhancing seismic design accuracy of RC beam-column joints: Modifier-based approach for shear strength predictions. Structures.

Mehta, V., Jang, S. H., & Chey, M. H. (2025). Adaptive simulation and data-driven hybrid modeling for predicting shear strength and failure modes of interior reinforced concrete beam-column joints. Structures.

Khurshid Hussain | Artificial Intelligence in Statistics | Research Excellence Award

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Mr. Khurshid Hussain | Artificial Intelligence in Statistics | Research Excellence Award

Kiost | South Korea

Mr. Khurshid Hussain is a dynamic researcher whose work spans advanced automotive engineering, semiconductor design, integrated sensing and communications, and AI-driven signal processing, establishing him as a multidisciplinary contributor across next-generation wireless, cybersecurity, and intelligent vehicular systems. He holds a Master’s degree in Advanced Automotive Engineering from Sun Moon University, South Korea, where he specialized in high-performance millimeter-wave circuit design with emphasis on 60 GHz digital variable-gain amplifiers, beamforming architectures, low-power attenuators, and chip-level ISAC systems for secure and intelligent communication. His research extends into geomatics and remote sensing, focusing on multimodal mapping using optical, SAR, and LiDAR streams, change detection, 3D reconstruction, and uncertainty-aware geospatial pipelines, alongside self-supervised and weak-supervised learning approaches for large-scale spatial data modeling. He is the inventor of a patented transistor-array-based variable attenuator and has authored an expanding collection of peer-reviewed publications in leading journals such as Electronics, IEEE Access, Applied Sciences, and IEEE Transactions, addressing topics ranging from radar–communication co-design and ultrasonic 3D beamforming sensors to predictive maintenance of aerospace components, OTFS-based V2X ISAC architectures, and AI-enhanced signal intelligence. His scholarly profile includes 9 documents, 77 citations, and an h-index of 4, reflecting his growing influence in mmWave IC design, wireless sensing, and AI-integrated communication. Khurshid has delivered technical presentations at major international conferences covering maritime IT convergence, high-frequency amplifier design, battery analytics, advanced beamforming, and power-efficient RF front-end systems. His expertise spans Cadence, HFSS, Python, MATLAB, OrCAD, cybersecurity tools, and vector network analyzers, reinforced by experience in transceiver integration, AI-chip convergence, intrusion detection systems, battery research, and embedded engineering. Earlier, he completed his B.Sc. in Electrical Engineering with a focus on IoT-based renewable-energy automation, where he developed sensor-driven, cloud-connected, and energy-efficient systems. Fluent in English and active in multicultural environments, Khurshid is known for his creativity, leadership, communication skills, and passion for innovation, continually advancing secure, intelligent, and energy-efficient technologies for the automotive, wireless, and sensing industries.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Hussain, K., & Yoo, J. (2025). Low-latency marine-based OTFS echo parameter estimation enabled by AI. Sensors, 25(23), Article 7104. DOI: 10.3390/s25237104

Hussain, K., Ali, E. M., Hussain, W., Raza, A., & Elkamchouchi, D. H. (2025). Robust OTFS-ISAC for vehicular-to-base station end-to-end sensing and communication. Electronics, 14(21), Article 4340. DOI: 10.3390/electronics14214340

Hussain, K., Jeon, W., Lee, Y., Song, I., & Oh, I. (2025). CMOS-compatible ultrasonic 3D beamforming sensor system for automotive applications. Applied Sciences, 15(16), Article 9201. DOI: 10.3390/app15169201

Hussain, K., & Oh, I. (2024). Joint radar, communication, and integration of beamforming technology. Electronics, 13(8), Article 1531. DOI: 10.3390/electronics13081531

Hussain, K., & Oh, I. (2024). Review of joint radar, communication, and integration of beam-forming technology. Preprint. DOI: 10.20944/preprints202404.0208.v1

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.

Michael Pitton | Descriptive and Inferential Statistics | Best Researcher Award

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Prof. Dr. Michael Pitton | Descriptive and Inferential Statistics | Best Researcher Award

Medical University of Mainz | Germany

Professor Dr. Michael Pitton is a distinguished German physician-scientist and expert in diagnostic and interventional radiology. A graduate of the Johannes Gutenberg University Mainz, he completed his medical studies and advanced clinical training in internal medicine, cardiology, radiology, and neuroradiology at leading German university hospitals, including the University Medical Center Mainz and the Deutsches Herzzentrum Berlin. His academic achievements include a habilitation on functional and morphological aspects of endovascular aneurysm therapy, followed by his appointment as university lecturer and senior consultant in interventional radiology. Professor Pitton has held successive leadership positions and currently serves as the Acting Director of the Department of Diagnostic and Interventional Radiology and Head of the Section of Interventional Radiology at the University Medical Center Mainz. He also holds European Board Certification in Interventional Radiology (EBIR) and the European Certification for Endovascular Specialists (CIRSE) and is a certified DEGIR instructor across all modules. Combining clinical excellence with managerial insight, he earned a Master of Health Business Administration, reflecting his engagement in healthcare management and innovation. Professor Pitton has an extensive scientific record, with approximately 127 publications, an h-index of around 33, and more than 6,771 citations, underscoring his influence in vascular and interventional radiology. His research contributions have advanced the understanding and treatment of aneurysms, transjugular intrahepatic portosystemic shunt (TIPS) interventions, and image-guided oncologic therapies. Recognized with numerous national and international awards, his work bridges academic medicine, translational research, and health leadership. Professor Pitton exemplifies excellence in clinical radiology, academic scholarship, and interdisciplinary collaboration, contributing significantly to the development of interventional radiology in Europe.

Profiles: Scopus | Orcid

Featured Publications

Graafen, D., Bart, W., Halfmann, M. C., Müller, L., Hobohm, L., Yang, Y., Neufang, A., Espinola-Klein, C., Pitton, M. B., Kloeckner, R., Varga-Szemes, A., & Emrich, T. (2022). In vitro and in vivo optimized reconstruction for low-keV virtual monoenergetic photon-counting detector CT angiography of lower legs.

Gairing, S. J., Kuchen, R., Müller, L., Cankaya, A., Weerts, J., Kapucu, A., Sachse, S., Zimpel, C., Stoehr, F., Pitton, M. B., Mittler, J., Straub, B. K., Marquardt, J. U., Schattenberg, J. M., Labenz, C., Kloeckner, R., Weinmann, A., Galle, P. R., Wörns, M. A., & Foerster, F. (2022.). 13C-Methacetin breath test predicts survival in patients with hepatocellular carcinoma undergoing transarterial chemoembolization.

Müller, L., Hahn, F., Mähringer-Kunz, A., Stoehr, F., Gairing, S. J., Foerster, F., Weinmann, A., Galle, P. R., Mittler, J., Pinto Dos Santos, D., Pitton, M. B., Düber, C., Fehrenbach, U., Auer, T. A., Gebauer, B., & Kloeckner, R. (2022). Prevalence and clinical significance of clinically evident portal hypertension in patients with hepatocellular carcinoma undergoing transarterial chemoembolization.

Edward Gartay Gar | Multivariate Statistical Analysis | Best Researcher Award

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Mr. Edward Gartay Gar | Multivariate Statistical Analysis | Best Researcher Award

Mr. Edward Gartay Gar | University of Cape Coast | Ghana

Mr. Edward Gartay Gar, B.Sc., M.Phil. Economics Candidate, is a results-driven economist with a strong foundation in leadership, financial literacy, data analysis, and strategic management. Hailing from Monrovia, Liberia, Gar completed his BSc in Economics from William V.S. Tubman University and is currently pursuing an MPhil in Philosophy in Economics Studies at the University of Cape Coast, Ghana. Over the years, he has built extensive expertise in research, administration, and professional engagement with both private and public sector institutions. His international exposure includes specialized training programs in Nigeria, Ghana, and Liberia, reflecting his commitment to global economic perspectives and youth empowerment. Gar has demonstrated strong interpersonal and leadership skills, effectively supervising teams, managing projects, and mentoring students. His core competencies lie in program planning, data-driven decision-making, and sustainable economic development, emphasizing evidence-based interventions that contribute to institutional efficiency and societal progress.

Profile: Google Scholar

Featured Publication

Gar, E. G., Askandir, I., & Turzin, J. K. (2024). The magnitude and risk factors for concurrent anthropometric and nutritional deficiency among children aged 6 to 59 months in Liberia: A multi-level analysis.

Pengfei Bao | Social and Behavioral Statistics | Best Researcher Award

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Mr. Pengfei Bao | Social and Behavioral Statistics | Best Researcher Award

The University of Hong Kong | China

Mr. Bao Pengfei is a distinguished scholar and translator specializing in multilingualism, translation studies, and intercultural communication. He earned a Master of Arts in Translation from The University of Hong Kong, focusing on advanced translation studies, language contrast for translators, and the translation of government and commercial texts, and a Bachelor of Arts in Translation from Sichuan International Studies University (SISU), where he studied comprehensive English, oral English, computer-assisted translation, liaison interpreting, Chinese-English translation, advanced English writing, and consecutive interpreting. Over his academic and professional journey, Bao has amassed extensive experience translating and interpreting across diverse domains, including legal, financial, literary, and cultural texts, completing over 200,000 words in multiple languages such as Korean, Japanese, and Chinese through roles at organizations like Zhongshan WYA Trans Service Company, LuzTrans, CICG Asia-Pacific, and the Ministry of Culture, Sports and Tourism of the Republic of Korea. He has also actively contributed to cultural exchange initiatives and digital marketing efforts promoting Korean culture internationally.

Featured Publications

“Delineating Translanguaging: Theoretical Distinctions fromCode-SwitchingandaVygotskian Model of Cognitive Scaffolding in Multilingual Classrooms”

“Generational Linguistic Conflict in Digital Fields: Bourdieu’s Cultural Capital Theoryand Cross-Cultural Decoding Hegemony of Z-Generation Internet Slang”

“‘From Monolingual Decoding to Translingual Semiotics: A HallidayanFrameworkforMultilingual Literacy Development”

“The Grammaticalization of Illocutionary Force in Legal Discourse: ADiachronicComputational Analysis of Speech Act Shifts from Pre-Modern Codes to Modern Legal Instruments”

“Negotiating Cultural Hegemony: Power Dynamics in the Postcolonial TranslationofAfrican Literature into English”

Ahmed A. Ahmed | Regression and Correlation Analysis | Best Researcher Award

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Assoc Prof. Dr. Ahmed A. Ahmed | Regression and Correlation Analysis | Best Researcher Award

Mustansiriyah University | Iraq

Dr. Ahmed A. Ahmed, Ph.D, is a distinguished faculty member in the Civil Engineering Department at Mustansiriyah University, Baghdad, Iraq, with a robust research profile emphasizing new and advanced infrastructure materials, durability of engineering materials, infrastructure sustainability, green building materials, material characterization, corrosion and carbonation assessment, microstructure analysis, and evaluation of concrete deterioration processes and mechanisms. With an h-index of 5, 70 citations, and a ResearchGate score of 83.5, Dr. Ahmed has contributed extensively to the field through numerous high-impact publications, including studies on corrosion resistance of calcium sulfoaluminate cementitious systems, reliability of chloride testing in cementitious systems, and experimental investigations on reinforcing steel behavior under corrosive conditions. Since 2012, he has served as a faculty member at Mustansiriyah University and held leadership roles such as Head of the Training and Development Unit in the Continuing Education Branch and active membership in professional societies including the American Concrete Institute, American Society of Civil Engineers, Iraqi Academic Syndicate, Iraqi Engineers Union, and Iraqi Teachers Union. Dr. Ahmed earned his Ph.D. in Infrastructure Materials with a minor in Statistics from Oregon State University and holds multiple advanced teaching certificates and engineering degrees. He has also presented at international conventions and workshops across the United States and Malaysia, highlighting his commitment to research excellence, pedagogy, and professional development in civil engineering.

Profiles:  Orcid | Scopus

Featured Publications

“Assessing the Impact of Graphene Nanoplatelets Aggregates on the Performance Characteristics of Cement-Based Materials”

“Performance Evaluation of Concrete Masonry Unit Mixtures Incorporating Citric Acid-Treated Corn Stover Ash and Alkalinized Corn Stover Fibers”

“Evaluating the Characteristics of Fibrous Pure Gypsum Containing Chopped Carbon Fiber (CCF)”

“Evaluating the performance of thermomechanically beneficiated fly ash blended mortar”

“Reliability of chloride testing results in cementitious systems containing admixed chlorides”