Sina Safari | Mathematical Modeling | Best Researcher Award

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Dr. Sina Safari | Mathematical Modeling | Best Researcher Award

Senior research associate at University of Bristol, United Kingdom

Dr. Sina Safari ๐ŸŽ“ is a dynamic Senior Research Associate in Data Science for Material Engineering at the University of Bristol ๐Ÿ‡ฌ๐Ÿ‡ง, specializing in nonlinear dynamics, structural integrity, and AI/ML applications in engineering ๐Ÿ’ก๐Ÿค–. With a Ph.D. in Dynamics and Control from the University of Exeter and a Global Talent Visa, he has authored numerous impactful publications ๐Ÿ“š in top-tier journals and conferences. His research integrates physics-informed machine learning, multiscale modeling, and fatigue testing to address real-world engineering challenges ๐Ÿ”ฌโš™๏ธ. A passionate educator ๐Ÿ‘จโ€๐Ÿซ and Associate Fellow of the Higher Education Academy, he has also contributed to multiple high-profile research projects including SINDRI and ADDISONIC partnerships. Dr. Safariโ€™s international collaborations, innovation in structural modeling, and leadership in research bids make him a rising force in computational and experimental mechanics ๐ŸŒ๐Ÿ—๏ธ.

Professional Profileย 

Google Scholar
Scopus Profile
ORCID Profile

๐ŸŽ“ Education

Dr. Sina Safari holds a Ph.D. in Dynamics and Control from the University of Exeter, UK ๐Ÿ‡ฌ๐Ÿ‡ง, where his research focused on data-driven, physics-informed modeling of nonlinear dynamical systems from vibration data ๐Ÿ“ˆ๐Ÿ”ฌ. Prior to this, he earned an M.S. in Hydraulic Structures from the University of Tabriz, Iran ๐Ÿ‡ฎ๐Ÿ‡ท, where he specialized in vibration control and fluid-structure interaction ๐ŸŒŠ๐Ÿ—๏ธ. He also holds a B.S. in Civil Engineering from Azarbaijan Shahid Madani University, focusing on structural design and earthquake engineering ๐Ÿ›๏ธ๐ŸŒ. His academic journey showcases a solid foundation in structural mechanics, coupled with advanced analytical techniques and interdisciplinary knowledge, preparing him for high-level research in modern mechanical and civil engineering domains. His global education trajectory reflects both depth and diversity in the fields of engineering and applied sciences ๐Ÿ“š๐Ÿง .

๐Ÿ’ผ Professional Experience

Dr. Sina Safari has built a rich professional portfolio across academia, industry, and research sectors ๐ŸŒ. Currently a Senior Research Associate at the University of Bristol ๐Ÿ‡ฌ๐Ÿ‡ง, he contributes to the SINDRI Partnership with EDF on data-driven structural integrity assessment ๐Ÿงช๐Ÿ”ง. Previously, he served as a postdoctoral researcher at Bournemouth University, leading fellowship bids and industrial consultancy projects. His earlier roles include research assistantships, teaching assistant positions at the University of Exeter, and engineering roles in Iran ๐Ÿ—๏ธ. From MATLAB instruction to technical site engineering and structural design, his career spans hands-on construction to high-impact computational research. With consistent involvement in collaborative, cross-disciplinary environments, Dr. Safari combines engineering intuition, academic rigor, and project leadership, bridging the gap between traditional structural mechanics and modern computational intelligence ๐Ÿค๐Ÿ’ก.

๐Ÿ”ฌ Research Interests

Dr. Safari’s research is driven by a passion for solving complex engineering problems through intelligent modeling and data science ๐Ÿš€๐Ÿ“Š. His core interests include nonlinear system identification, structural dynamics, fatigue testing, and multiscale modeling of materials and assemblies ๐Ÿงฉโš™๏ธ. He integrates machine learning and artificial intelligenceโ€”especially physics-informed neural networks and recurrent neural operatorsโ€”into engineering workflows for predictive diagnostics and design optimization ๐Ÿค–๐Ÿ› ๏ธ. Additionally, he works on shape optimization, vibration-based structural health monitoring, and uncertainty quantification of bolted joints. His research aligns with pressing challenges in aerospace, nuclear, and civil sectors, contributing toward digital twins and smart engineering systems. With a balance of experimental insight and data-driven innovation, Dr. Safari is advancing the frontier of next-generation materials and structures ๐Ÿ—๏ธ๐Ÿ“๐Ÿ”.

๐Ÿ… Awards and Honors

Dr. Sina Safari was awarded a fully funded Ph.D. studentship at the University of Exeter, recognizing his potential in advanced structural dynamics research ๐ŸŽ“๐ŸŒŸ. He is a recipient of the prestigious UK Global Talent Visa, which honors individuals making significant contributions to science and innovation on an international scale ๐ŸŒ๐Ÿ†. His selection as a key researcher within UK-funded initiatives like the SINDRI and ADDISONIC projects reflects peer recognition of his scientific excellence and leadership. Moreover, his roles in winning and leading high-level fellowship proposals, including submissions to the Royal Academy of Engineering and Leverhulme Trust, highlight his proactive contribution to competitive research landscapes ๐Ÿงช๐Ÿ“œ. These accolades underscore Dr. Safariโ€™s outstanding scholarly impact, cross-border relevance, and dedication to transformative engineering research ๐Ÿ’ก๐ŸŒ.

๐Ÿ› ๏ธ Research Skills

Dr. Safari possesses a robust arsenal of technical and analytical skills that empower his research in both experimental and computational domains ๐Ÿง ๐Ÿ’ป. He is proficient in MATLAB, Simulink, Python, LabVIEW, and C programming for advanced simulations and modeling tasks ๐Ÿ“Š๐Ÿ”ฌ. His expertise spans finite element tools such as ABAQUS, ANSYS, OpenSees, and SAP2000, enabling precise modeling of complex materials and assemblies ๐Ÿ—๏ธ๐Ÿงช. Skilled in vibration testing, signal processing (using tools like MEscope, SeismoSignal), and data analysis, he tackles problems in structural health monitoring and nonlinear dynamics with confidence ๐Ÿ“‰๐Ÿ“ˆ. His experience also includes digital image correlation, machine learning implementation, and optimization techniques for structural design. With strong communication and collaborative research project management, Dr. Safari demonstrates both technical depth and practical innovation across multiple domains ๐Ÿงฐ๐Ÿ“˜.

๐Ÿ“Publications Top Note

  • Parametric Study of Stochastic Seismic Responses of Base-Isolated Liquid Storage Tanks under Near-Fault and Far-Fault Ground Motions
    Authors: S. Safari, R. Tarinejad
    Year: 2018
    Citations: 38
    Published in: Journal of Vibration and Control, Vol. 24, Issue 24, pp. 5747โ€“5764

  • Estimation of Inelastic Displacement Ratio for Base-Isolated Structures
    Authors: S. Yaghmaei-Sabegh, S. Safari, K.A. Ghayouri
    Year: 2018
    Citations: 28
    Published in: Earthquake Engineering & Structural Dynamics, Vol. 47, Issue 3, pp. 634โ€“659

  • Direct Optimisation-Based Model Selection and Parameter Estimation Using Time-Domain Data for Identifying Localised Nonlinearities
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2021
    Citations: 19
    Published in: Journal of Sound and Vibration, Vol. 501, Article 116056

  • Data-Driven Structural Identification of Nonlinear Assemblies: Structures with Bolted Joints
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2023
    Citations: 18
    Published in: Mechanical Systems and Signal Processing, Vol. 195, Article 110296

  • Characterization of Ductility and Inelastic Displacement Demand in Base-Isolated Structures Considering Cyclic Degradation
    Authors: S. Yaghmaei-Sabegh, S. Safari, K.A. Ghayouri
    Year: 2019
    Citations: 18
    Published in: Journal of Earthquake Engineering, Vol. 23, Issue 4, pp. 557โ€“591

  • Benchmarking of Optimisation Methods for Model Selection and Parameter Estimation of Nonlinear Systems
    Authors: S. Safari, J.L. Monsalve
    Year: 2021
    Citations: 4
    Published in: Vibration, Vol. 4, Issue 3, pp. 648โ€“665

  • Nonlinear Function Selection and Parameter Estimation of Structures with Localised Nonlinearities โ€“ Part I: Numerical Analysis
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2020
    Citations: 3
    Published in: Nonlinear Structures and Systems, Proceedings of the 38th IMAC Conference on Structural Dynamics

  • Data-Driven Structural Identification of Nonlinear Assemblies: Asymmetric Stiffness and Damping Nonlinearities
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2025
    Citations: 2
    Published in: Mechanical Systems and Signal Processing, Vol. 222, Article 111745

  • Importance of Virtual Sensing and Model Reduction in the Structural Identification of Bolted Assemblies
    Authors: S. Safari, J.M. Londoรฑo Monsalve
    Year: 2023
    Citations: 1
    Published in: Proceedings of the Society for Experimental Mechanics Annual Conference, pp. 33โ€“36

  • Statistical Calibration of Ultrasonic Fatigue Testing Machine and Probabilistic Fatigue Life Estimation
    Authors: S. Safari, D. Montalvรฃo, P.R. da Costa, L. Reis, M. Freitas
    Year: 2025
    Published in: International Journal of Fatigue (under review), Article 109028

  • Data-Driven Structural Identification of Nonlinear Assemblies: Uncertainty Quantification
    Authors: S. Safari, D. Montalvรฃo, J.M.L. Monsalve
    Year: 2025
    Published in: International Journal of Non-Linear Mechanics, Vol. 170, Article 105002

  • A New Design for Mitigating Interfering Modes in Cruciform Specimens to Enhance Ultrasonic Fatigue Testing
    Authors: D. Montalvรฃo, S. Safari, W. Chidzikwe, P. Sewell, P. Costa, L. Reis, M. Freitas
    Year: 2025
    Published in: Procedia Structural Integrity, Vol. 68, pp. 472โ€“479

๐Ÿ“˜ Conclusion

Dr. Sina Safari is a forward-thinking, globally engaged researcher whose work bridges structural mechanics and intelligent computing ๐Ÿค๐Ÿง . With a solid foundation in civil and mechanical engineering, advanced training in nonlinear system dynamics, and cutting-edge applications of AI/ML in modeling and diagnostics, he exemplifies the modern multidisciplinary engineer of the future ๐ŸŒ๐Ÿ”ง. His dedication to scientific innovation, impactful teaching, and international collaboration positions him as a strong leader in the evolving fields of smart structures and material intelligence ๐Ÿ†๐Ÿ“ก. As he continues his journey at the University of Bristol and beyond, Dr. Safari is poised to make transformative contributions to digital engineering, helping shape a safer, smarter, and more sustainable world ๐ŸŒโš™๏ธ๐Ÿ”.

Enes Ata | Applied Mathematics | Best Researcher Award

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Assist. Prof. Dr. Enes Ata | Applied Mathematics | Best Researcher Award

Bingol University ,Turkey

Dr. Enes ATA ๐ŸŽ“, an accomplished Assistant Professor at Bingรถl University, is a passionate mathematician with nearly a decade of research experience in specialized fields such as special functions, integral transformations, fractional calculus, and differential equations ๐Ÿ”โž—. Since 2016, he has steadily built a portfolio of impactful publications in reputable international journals ๐Ÿ“š and authored two scholarly book chapters with ISBN recognition ๐Ÿ“˜. Dr. ATAโ€™s academic journey is driven by a deep commitment to advancing mathematical modelling and theoretical problem-solving ๐Ÿง ๐Ÿ’ก. His work is featured on platforms like Google Scholar and ResearchGate ๐ŸŒ, reflecting transparency and accessibility in research. While still expanding his citation footprint, his focused and disciplined approach signifies long-term promise in the mathematical sciences ๐Ÿš€. A dedicated contributor to the scientific community, Dr. Enes ATA exemplifies scholarly resilience, curiosity, and a forward-thinking mindset in pursuit of mathematical innovation and excellence ๐Ÿ“ˆ๐Ÿ”ข.

Professional Profile

Google Scholar
Scopus Profile
ORCID Profileย 

Education ๐ŸŽ“

Dr. Enes ATA began his academic ascent through a rigorous foundation in mathematical sciences, guided by curiosity and precision. His higher education was shaped by a passion for abstract thinking, logical reasoning, and analytical depth. From undergraduate studies through to doctoral research, he honed a deep understanding of core mathematical theories, particularly in differential equations and advanced calculus. His academic journey was marked by consistency, discipline, and scholarly excellence. With a Ph.D. focusing on intricate mathematical structures, he developed skills in theoretical modelling, fractional analysis, and complex problem-solving. His education was not just a series of degreesโ€”it was an intellectual transformation, where he transitioned from a learner to a knowledge creator. This robust academic background laid the groundwork for his evolving research contributions and enabled him to approach mathematical challenges with originality, rigor, and clarity. Today, his academic foundation remains the cornerstone of his continued exploration in the world of mathematics.

Professional Experience ๐Ÿง‘โ€๐Ÿซ

Dr. Enes ATA holds the position of Assistant Professor at Bingรถl University, where his role blends research, mentorship, and teaching into a cohesive professional identity. Since joining academia, he has immersed himself in academic lifeโ€”not only guiding students through complex mathematical topics but also pushing the frontiers of knowledge in specialized areas. His teaching philosophy is anchored in clarity, curiosity, and connection, helping students bridge theoretical mathematics with real-world applications. Beyond the classroom, he actively contributes to his departmentโ€™s academic agenda, curriculum development, and research collaborations. His professional journey is marked by steady growth, integrity, and a strong work ethic. Balancing both scholarly research and institutional responsibilities, he brings a multifaceted approach to problem-solving. Whether publishing in journals, supervising projects, or participating in academic seminars, Dr. ATA demonstrates a commitment to academic excellence and intellectual integrity, continuously reinforcing his role as both an educator and a pioneering researcher in mathematics.

Research Interests ๐Ÿ”ฌ

Dr. Enes ATAโ€™s research compass is finely tuned to the intricate landscape of mathematical theory, with specializations that delve into special functions, integral transformations, fractional calculus, differential equations, and mathematical modelling. These domains, though abstract, hold transformative power across engineering, physics, and computational sciences. His work focuses on the synthesis of classical theory and modern methodologies, often addressing unsolved problems and contributing refined solutions to the literature. Dr. ATA seeks elegance in complexityโ€”decoding patterns, exploring functional identities, and building bridges between theory and application. His research interests are not static but evolve with emerging mathematical paradigms and interdisciplinary needs. He approaches each mathematical challenge with a methodical and creative mindset, ensuring his findings are both technically sound and conceptually valuable. Driven by the desire to contribute meaningfully to global mathematics discourse, his research aims to offer clarity, depth, and innovation in areas that often form the bedrock of scientific and engineering solutions.

Awards and Honors ๐Ÿ…

Though still in the early to mid-stage of his academic career, Dr. Enes ATA has begun to garner recognition for his scholarly contributions. His book chapters published under international ISBNs reflect a milestone of academic merit and recognition. His journal publications in reputable, indexed journals mark his consistent effort toward scientific excellence. While not yet widely decorated with awards, his steady trajectory positions him as a strong candidate for honors such as “Best Researcher” or โ€œEmerging Scholar in Mathematics.โ€ His academic visibility on platforms like Google Scholar, ResearchGate, and Scopus showcases his commitment to transparency and knowledge dissemination. Each citation of his work is a quiet affirmation of relevance, and his continued scholarly engagement suggests that formal recognitions are likely to follow. With every published paper, classroom lecture, and collaborative project, Dr. ATA moves closer to future accolades that will formally acknowledge the intellectual value and impact of his research legacy.

๐Ÿงช Research Skills

Dr. Enes ATA possesses a robust set of research skills that include analytical modeling, problem-solving in nonlinear systems, mathematical abstraction, and computational mathematics. ๐Ÿง ๐Ÿ’ก He is adept at employing fractional calculus to develop solutions to advanced differential systems and is proficient in using integral transforms for applied problem-solving. His academic writing skills are evident through his publications in Scopus- and SCI-indexed journals. ๐Ÿ“๐Ÿ“Š Dr. ATA also demonstrates competence in using research platforms and tools such as LaTeX, MATLAB, and symbolic computation environments, enhancing the rigor and reproducibility of his work. ๐Ÿ”ฌ๐Ÿ’ป With a solid understanding of both classical and modern mathematical frameworks, his methodical approach contributes to high-quality research outcomes and positions him as a technically skilled and conceptually strong researcher. ๐Ÿงฎ๐Ÿ“

Publications Top Notes

  • Title: Generalized Pathway Fractional Integral Formulas Involving Extended Multi-Index Mittag-Leffler Function in Kernel of SUM Transform
    Authors: Muhammad Kaurangini, Umar Muhammad Abubakar, Enes Ata
    Year: 2025
    Source: MANAS Journal of Engineering / Crossref

  • Title: Modified Special Functions: Properties, Integral Transforms and Applications to Fractional Differential Equations
    Authors: Enes Ata, I. Onur Kiymaz
    Year: 2024
    Source: Boletim da Sociedade Paranaense de Matemรกtica / Crossref

  • Title: A New Generalized Laplace Transform and Its Applications to Fractional Bagley-Torvik and Fractional Harmonic Vibration Problems
    Authors: Enes Ata, ฤฐ. Onur Kฤฑymaz
    Year: 2023
    Source: Miskolc Mathematical Notes / Scopus

  • Title: New Fractional Operators Including Wright Function in Their Kernels
    Authors: Enes Ata, ฤฐ. Onur Kฤฑymaz
    Year: 2023
    Source: Turkish Journal of Mathematics and Computer Science / Crossref

  • Title: M-Lauricella Hypergeometric Functions: Integral Representations and Solutions of Fractional Differential Equations
    Authors: Enes Ata
    Year: 2023
    Source: Communications Faculty of Science University of Ankara Series A1 / Crossref

  • Title: Modified Special Functions Defined by Generalized M-Series and Their Properties
    Authors: Enes Ata
    Year: 2022
    Citations: 10
    Source: arXiv / Scopus

  • Title: Generalized Gamma, Beta and Hypergeometric Functions Defined by Wright Function and Applications to Fractional Differential Equations
    Authors: Enes Ata, ฤฐ. Onur Kฤฑymaz
    Year: 2022
    Citations: 14
    Source: Cumhuriyet Science Journal / Crossref

  • Title: Generalized Beta Function Defined by Wright Function
    Authors: Enes Ata
    Year: 2021
    Citations: 15
    Source: arXiv / Web of Science

  • Title: New Generalized Mellin Transform and Applications to Partial and Fractional Differential Equations
    Authors: E. Ata, I.O. Kฤฑymaz
    Year: 2023
    Citations: 50
    Source: International Journal of Mathematics and Computer in Engineering

  • Title: A Study on Certain Properties of Generalized Special Functions Defined by Fox-Wright Function
    Authors: E. Ata, ฤฐ.O. Kฤฑymaz
    Year: 2020
    Citations: 40
    Source: Applied Mathematics and Nonlinear Sciences

  • Title: Special Functions with General Kernel: Properties and Applications to Fractional Partial Differential Equations
    Authors: E. Ata, I.O. Kฤฑymaz
    Year: 2025
    Citations: 5
    Source: International Journal of Mathematics and Computer in Engineering

  • Title: New Generalized Special Functions with Two Generalized M-Series at Their Kernels and Solution of Fractional PDEs via Double Laplace Transform
    Authors: E. Ata, I.O. Kฤฑymaz
    Year: 2024
    Citations: 4
    Source: Computational Methods for Differential Equations

  • Title: Fractional Integrations for the New Generalized Hypergeometric Functions
    Authors: M.P. Chaudhary, M.L. Kaurangini, I.O. Kฤฑymaz, U.M. Abubakar, E. Ata
    Year: 2023
    Citations: 4
    Source: Journal of Ramanujan Society of Mathematics and Mathematical Sciences

๐Ÿ“Œ Conclusion

Dr. Enes ATA emerges as a promising and dedicated scholar in mathematics, with a focused research agenda, growing publication record, and a passion for advancing mathematical theory and application. ๐Ÿ“š๐Ÿ” His expertise in special functions and differential systems has led to valuable contributions in both theoretical and applied domains. As an Assistant Professor, he actively shapes the academic growth of students while contributing to global research. ๐ŸŒ๐Ÿ‘จโ€๐Ÿซ Although still building his citation footprint, his scholarly dedication, publication diversity, and domain expertise position him as a strong candidate for academic recognition. ๐Ÿ…๐Ÿ“ˆ Dr. ATA exemplifies academic integrity, technical precision, and research excellence, making him a worthy nominee for prestigious honors like the Best Researcher Award. ๐Ÿ†๐Ÿ“˜

Raquel Lacuesta Gilaberte | Artificial Intelligence in Mathematics | Women Researcher Award

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Prof. Dr. Raquel Lacuesta Gilaberte | Artificial Intelligence in Mathematics | Women Researcher Award

Researcher and Lecturer at Universidad de Zaragoza , Spain

Prof. Dr. Raquel Lacuesta Gilaberte ๐ŸŽ“, a distinguished academic from the Universidad de Zaragoza ๐Ÿ‡ช๐Ÿ‡ธ, is a seasoned expert in Computer Science and Human-Computer Interaction ๐Ÿ’ป๐Ÿง . With a Ph.D. Cum Laude from the Universidad Politรฉcnica de Valencia ๐ŸŽ–๏ธ, she brings over two decades of dedication to teaching, mentoring, and interdisciplinary research. Her work spans digital interaction design, intelligent systems ๐Ÿค–, and healthcare technologies ๐Ÿฅ๐Ÿ’ก, making significant contributions to both education and applied science. As a full-time professor, she has spearheaded numerous courses in engineering, health innovation, and digital systems, inspiring future technologists and innovators. Fluent in English ๐ŸŒ, sheโ€™s well-positioned for global collaboration. Her academic journey reflects a blend of visionary thinking, pedagogical depth, and technological curiosity, marking her as a dynamic force in the engineering and research ecosystem ๐Ÿš€๐Ÿ“˜.

Professional Profileย 

Google Scholar
Scopus Profile
ORCID Profile

๐ŸŽ“ Education

Prof. Dr. Raquel Lacuesta Gilaberte holds a prestigious academic lineage rooted in technical excellence. She earned her degree in Computer Engineering from the Universidad Politรฉcnica de Valencia ๐Ÿ›๏ธ in 1999 and went on to complete her Ph.D. in Computer Science in 2008 with the esteemed Cum Laude distinction ๐Ÿ…. Her doctoral studies deepened her expertise in informatics, laying a strong foundation for a career at the nexus of innovation and systems architecture. This elite academic path reflects her unwavering commitment to scholarly rigor and intellectual development. Her comprehensive training in both theoretical and applied computing equips her to seamlessly bridge academia and real-world technology ๐ŸŒ๐Ÿ’ก.

๐Ÿง‘โ€๐Ÿซ Professional Experience

With over 15 years of academic service, Prof. Dr. Lacuesta currently serves as a Professor Titular at the Universidad de Zaragoza ๐Ÿ‘ฉโ€๐Ÿซ. Since 2018, she has dedicated herself full-time to the Department of Computer Science and Systems Engineering, shaping the minds of future engineers. Her teaching portfolio is both broad and impactfulโ€”spanning information systems, human-computer interaction, digital design, and cybersecurity ๐Ÿ”. Beyond instruction, she plays a pivotal role in curriculum development for undergraduate and masterโ€™s programs. Her long-term affiliation with various innovative teaching initiatives reflects a career devoted not just to knowledge dissemination but to shaping evolving educational ecosystems ๐Ÿซ๐Ÿš€.

๐Ÿ”ฌ Research Interests

Prof. Dr. Lacuestaโ€™s research navigates the confluence of technology and human experience. Her primary interests include Human-Computer Interaction (HCI) ๐Ÿ–ฅ๏ธ๐Ÿค, user-centered digital design ๐ŸŽจ, multi-agent systems ๐Ÿค–, and health-focused technology applications ๐Ÿฉบ๐Ÿ“ฒ. She actively explores how emerging interfaces can enhance user accessibility and well-being, especially within medical and wellness contexts. Her work in intelligent systems and decision-support architectures positions her at the forefront of digital innovation. The interdisciplinary nature of her research enables her to address complex challenges through holistic, systems-oriented solutions. Driven by curiosity and social impact, her research continuously adapts to the dynamic needs of the digital age ๐ŸŒโš™๏ธ.

๐Ÿ† Awards and Honors

While her formal accolades were not detailed in the provided records, Prof. Dr. Lacuesta’s academic career reflects honors embedded in her roles and responsibilities. Attaining a Ph.D. with Cum Laude honors ๐ŸŽ–๏ธ signals excellence at the doctoral level. Her continuous presence in postgraduate and interdisciplinary programs is itself a recognition of her expertise and reliability. Trusted to lead innovation-focused subjects in health tech and interactive systems, she enjoys peer respect and institutional recognition ๐ŸŒŸ. Her appointment to key academic roles and her involvement in diverse teaching environments speak volumes of the esteem she commands in academic circles. Future awards will likely follow as her research visibility grows.

๐Ÿ”š Conclusion

Prof. Dr. Raquel Lacuesta Gilaberte exemplifies the modern academicโ€”technically astute, pedagogically impactful, and research-driven ๐Ÿ’ผ๐Ÿง . Her journey from a top-tier engineering graduate to a full-time professor reflects perseverance, scholarly excellence, and a forward-looking mindset. With deep roots in computing and branches extending into healthcare innovation and interactive design, she stands as a beacon of interdisciplinary progress ๐ŸŒฑ๐Ÿ”. Though understated in accolades, her real reward lies in shaping students, pushing boundaries in tech-for-good, and mentoring in future-centric domains. She is unquestionably a standout candidate for recognition such as the Best Researcher Award ๐Ÿ…๐ŸŒŸ.

Publications Top Notes

Redesign and New Evaluation of a Pervasive Game for Older Adults
๐Ÿ‘ฅ Jesรบs Gallardo, Raquel Lacuesta, Silvia Ramis
๐Ÿ“… 2024 | ๐Ÿ“ˆ 0 citations
๐Ÿ“„ Conference Paper | DOI: Not provided

Exploring the Use of Voice Assistants in Nursing Homes
๐Ÿ‘ฅ Eva Cerezo, Raquel Lacuesta, Jesรบs Gallardo, Antonio Aguelo
๐Ÿ“… 2025 | ๐Ÿ“ˆ 1 citation
๐Ÿ“„ International Journal of Humanโ€“Computer Interaction
๐Ÿ”— DOI: 10.1080/10447318.2025.2470282

Cooking Game: A Serious Game Using a Social Robot
๐Ÿ‘ฅ Joan Josep Ordoรฑez, Silvia Ramis, Francisco J. Perales, Jose M. Buades, Raquel Lacuesta
๐Ÿ“… 2024 | ๐Ÿ“ˆ 1 citation
๐Ÿ“„ Conference Paper
๐Ÿ”— DOI: 10.1145/3657242.3658604

A New Online Tool to Evaluate Transferable Skills in the European Framework
๐Ÿ‘ฅ Raquel Lacuesta, G. Palacios-Navarro
๐Ÿ“… 2024 | ๐Ÿ“ˆ 0 citations
๐Ÿ“„ International Journal of Engineering Pedagogy | DOI not listed

Wearable Low-Cost and Low-Energy Consumption Gas Sensor with Machine Learning to Recognize Outdoor Areas
๐Ÿ‘ฅ Jianchen Wang, Lorena Parra, Raquel Lacuesta, Jaime Lloret, Pascal Lorenz
๐Ÿ“… 2024 | ๐Ÿ“ˆ 0 citations
๐Ÿ“„ IEEE Sensors Journal
๐Ÿ”— DOI: 10.1109/JSEN.2024.3442874

Ubiquitous Monitoring of Liver Transplantation Patients
๐Ÿ‘ฅ Javier Navarro-Alamรกn, Raquel Lacuesta, Jose M. Jimenez, Ivรกn Garcรญa-Magariรฑo, Trinidad Serrano
๐Ÿ“… 2024 | ๐Ÿ“ˆ 1 citation
๐Ÿ“„ International Journal of Ad Hoc and Ubiquitous Computing | DOI not listed

Evaluation of Suitability of Low-Cost Gas Sensors for Monitoring Indoor and Outdoor Urban Areas
๐Ÿ‘ฅ Jianchen Wang, Sandra Viciano-Tudela, Lorena Parra, Raquel Lacuesta, Jaime Lloret
๐Ÿ“… 2023 | ๐Ÿ“ˆ 16 citations
๐Ÿ“„ IEEE Sensors Journal
๐Ÿ”— DOI: 10.1109/JSEN.2023.3301651

Cybersecure XAI Algorithm for Generating Recommendations Based on Financial Fundamentals Using DeepSeek
๐Ÿ‘ฅ Ivรกn Garcรญa-Magariรฑo, Javier Bravo-Agapito, Raquel Lacuesta
๐Ÿ“… 2025 | ๐Ÿ“ˆ N/A
๐Ÿ“„ AI (Open Access Journal)
๐Ÿ”— DOI: 10.3390/ai6050095

Designing Pervasive Games Oriented Towards the Elderly: A Case Study
๐Ÿ‘ฅ Raquel Lacuesta, Jesรบs Gallardo, Silvia Hernรกndez, รlvaro Pรฉrez
๐Ÿ“… 2023 | ๐Ÿ“ˆ N/A
๐Ÿ“„ Book Chapter
๐Ÿ”— DOI: 10.1007/978-3-031-37496-8_13

Early Detection of Abandonment Signs in Interactive Novels with a Randomized Forest Classifier
๐Ÿ‘ฅ Javier Navarro, Ivรกn Garcรญa-Magariรฑo, Jorge J. Gรณmez Sanz, Raquel Lacuesta, Rubรฉn Fuentes, Juan Pavรณn
๐Ÿ“… 2022 | ๐Ÿ“ˆ N/A
๐Ÿ“„ Book Chapter
๐Ÿ”— DOI: 10.1007/978-3-031-22419-5_18