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.

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.

Environmental and Climate Statistics | Women Researcher Award

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Mrs. Fatoumata Sokona | Environmental and Climate Statistics | Women Researcher Award

The University of Parakou | IER: Institute of Rural Economy | Mali

Mrs. Fatoumata Sokona, a Malian researcher passionate about rural development and agroecology, is pursuing a PhD in Agricultural Economics at the University of Parakou, Benin and Co-supervised by the Institution of Rural Economics Mali. Her doctoral research focuses on the socio-economic and environmental impacts of organic cotton production in Southern Mali, reflecting her strong commitment to promoting sustainable agricultural practices. She serves as a Research Assistant on the Agroecological Transition Support (AgrEco) project at the Institut d’Economie Rurale (IER) in Bamako, Mali, where she contributes to evaluating agroecological technologies, integrating innovative products into agricultural value chains, and supporting farmers socio-economically. Alongside her research, Fatoumata is also a part-time Teaching Assistant at the University of Segou, where she leads tutorials on agricultural sector analysis, marketing of agricultural products, gender, microeconomics, and value chain organization. She holds a Master’s degree in Economics, Sociology, and Communication for Rural Development from the University of Abomey-Calavi, Benin, and a Bachelor’s degree in Agricultural Economics from the University of Segou. Fatoumata’s research has resulted in publications in recognized journals such as Organic Agriculture  and Sustainable Environment (Taylor and Francis). Fluent in French and proficient in English, with basic knowledge of Arabic, she is skilled in Microsoft Office, SPSS, Stata, Minitab, KoboCollect, and SAFA for sustainability analysis. Motivated by curiosity and a passion for impactful research, she actively engages in workshops, seminars, and discussions to promote agroecology and sustainable farming. Beyond her academic and professional pursuits, she enjoys research, sports, and travel, which continue to broaden her perspective and inspire her efforts toward advancing agroecological transformation and rural development in Africa.

Profiles: Orcid

Featured Publications

Sokona, F., Idrissou, L., Yabi, J., & Kone, B. (2025). Determinants of diversity in organic cotton farming in Bougouni and Yanfolila (CMDT Zone in Mali). Organic Agriculture.

Yohanna Kusuma | Multivariate Statistical Analysis | Best Researcher Award

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Dr. Yohanna Kusuma | Multivariate Statistical Analysis | Best Researcher Award

The Royal Melbourne Hospital-The University of Melbourne | Australia

Dr. Yohanna Kusuma is an Australian-trained, internationally recognised neurologist and academic whose clinical and research work bridges acute stroke, neuroimaging, neurosonology, and movement disorders, with a strong translational focus across the Asia-Pacific region. She obtained her neurology specialist qualification from the University of Indonesia with honours, completed advanced fellowships in neurosonology and stroke at leading institutions in Singapore, and earned a PhD from Deakin University supported by an international scholarship, focusing on advanced CT-perfusion imaging in acute ischaemic stroke and the influence of ethnicity on imaging and clinical outcomes. She holds Fellowship of the Royal Australasian College of Physicians, qualifying her as a Consultant Neurologist in Australia. Dr Kusuma serves as Chief Investigator of the AI-powered SERENA platform for real-time stroke triage and decision support, leads the multinational APEX registry on acute ischaemic stroke with cancer spanning nine Asia–Pacific countries, and co-supervises PhD and honours students at Deakin University. She holds senior appointments in both Australia and Indonesia, including Senior Consultant Neurology at Metropolitan Medical Centre Hospital in Jakarta and Senior Research Fellow at The University of Melbourne. Her professional leadership includes representing Indonesia on the Asia Pacific Stroke Organisation and the Asian Stroke Advisory Panel, serving on the Education Council of the Australian Stroke Academy, and having previously served as a Co-opted Board Member of the World Stroke Organisation. Actively engaged in education and training, she has organised and delivered numerous neurosonology and stroke imaging workshops across the Asia-Pacific. Her research output is extensive, with an h-index of 4 and 144 citations, 13 peer-reviewed publications, book chapters, and international presentations. Dr Kusuma exemplifies a clinician-scientist who integrates cutting-edge imaging, neurosonology, and translational stroke research while advancing global collaborations in academic neurology, clinical innovation, and medical education.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Orhan Dalkilic | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

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Mr. Orhan Dalkilic | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

Bingol University | Turkey

Mr. Orhan Dalkilic is a distinguished mathematician and academic at Bingol University, Faculty of Arts and Sciences, Department of Mathematics. His research focuses on general topology, decision-making algorithms under uncertainty, hybrid set theories including fuzzy, rough, soft, neutrosophic, and virtual fuzzy parameterized soft (VFP-soft) sets, as well as data analysis and decision-support systems. He earned his Bachelor’s degree in Mathematics from Marmara University, followed by a Master’s and Ph.D. in Mathematics from Mersin University, specializing in the mathematical modelling of uncertainty and intelligent decision-making. Mr. Dalkilic has made substantial contributions to the development of mathematical models that enhance decision-making processes, providing innovative theoretical frameworks for handling uncertainty in real-world problems. With a prolific publication record, he has authored 49 academic works, including 20 papers indexed in the Science Citation Index (SCI), 243 Citation in Scopus, and 13 in other international journals. Among his SCI-indexed studies, 9 appear in Q1, 8 in Q2, and 3 in Q3 journals, reflecting his strong impact on the scientific community. His research often bridges mathematical theory and practical application, focusing on relationship analysis, topological structures, and soft computing techniques. Mr. Dalkilic has achieved an h-index of 14, an i10-index of 19, and has accumulated more than 650 citations, underscoring the influence and relevance of his scholarly output. His recent works, such as studies on decision-making approaches focusing on parameter-object relationships within soft set frameworks, highlight his continued commitment to advancing the fields of uncertainty theory and decision analysis. Through his innovative methods and interdisciplinary approach, Mr. Orhan Dalkilic has established himself as a leading researcher contributing significantly to the global development of modern applied mathematics and intelligent decision systems.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Dalkilic, O. (2025). Unifying relationships in uncertain environments: Examining relations in binary soft sets for expressing inter-object correspondence. The Journal of Supercomputing, 81(16), 1–29.

Stojanović, N., Vučićević, N., & Dalkilic  O. (2025). Decision-making algorithm based on the scored-energy of neutrosophic soft sets. Afrika Matematika, 36(3), 1–22.

Demirtaş, N., Dalkilic, O., & Şimşekler Dizman, T. (2025). Optimal parameter identification in soft set frameworks: A decision support model. Boletim da Sociedade Paranaense de Matemática, 43(3), 1–10.

Dalkilic, O. (2025). Decision-making approaches focusing on best parameter-object pair for soft set. Neural Computing and Applications, 1–19.

Dalkilic, O. (2025). Nötrosofik parametreli aşırı-esnek kümelerin karar vericiler için bir genellemesi. Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, 25(1), 81–88.