جستجوی استاد راهنمای دانشگاهی

Haoming Qiuمشاهده پروفایل

دانشیار

• Radiation Oncology
• Gastrointestinal Cancers
• Lung Cancer
• +۵ مورد دیگر

Haoming Qiu, M.D. serves as an Associate Professor in the Department of Radiation Oncology at the University of Rochester School of Medicine and Dentistry. He practices clinically at both Wilmot Cancer Center in Rochester and Sands Cancer Center in Canandaigua, providing radiation oncology services for gastrointestinal, lung, and prostate cancers. Board-certified by the American Board of Radiology, Dr. Qiu specializes in advanced radiotherapy techniques including external beam radiation and radiopharmaceutical therapies. Education: MD, Johns Hopkins University (2011) Residency in Radiation Oncology, University of Rochester Medical Center (2013-2016) Residency in Radiation Oncology, Loyola University Medical Center (2012-2013) Internship in Internal Medicine, Sinai Hospital of Baltimore (2011-2012) Research Focus: Dr. Qiu's work centers on optimizing radiation therapy for gastrointestinal malignancies, prostate cancer, and neuroendocrine tumors. His investigations into theranostics explore novel applications of Lutathera for neuroendocrine tumors, Pluvicto for prostate cancer, and Therasphere for liver cancers. Current research emphasizes combining stereotactic body radiotherapy with immunotherapeutic agents to overcome treatment resistance in pancreatic and rectal cancers. Publication Trends: Recent publications (2023-2025) reveal a strategic shift toward adaptive radiotherapy techniques for pelvic malignancies and immunoradiotherapy combinations. His work demonstrates growing emphasis on modulating tumor immune microenvironments through radiation, particularly in pancreatic and rectal cancers. The integration of mRNA nanotechnology with SBRT represents a cutting-edge frontier in his research portfolio. Scientific Recognition: Roentgen Resident/Fellow Research Award (2015) Excellence in Medical Student Research (2011) Clinical Leadership: Dr. Qiu directs multiple clinical trials at the University of Rochester focusing on radiopharmaceutical applications and adaptive radiotherapy protocols. His patient-centered approach is reflected in consistently high patient satisfaction scores (4.9/5 stars) across communication, empathy, and treatment explanation metrics. Care Coordination: As part of the Wilmot Cancer Center and Sands Cancer Center teams, Dr. Qiu collaborates with multidisciplinary groups including medical oncologists, surgeons, and radiologists to deliver integrated cancer care through Accountable Health Partners network.

Sara Magliacaneمشاهده پروفایل

استادیار

• Causality
• Causal Representation Learning
• Causality-inspired Machine Learning
• +۴ مورد دیگر

Sara Magliacane is an Assistant Professor at the University of Amsterdam , affiliated with the Amsterdam Machine Learning Lab (AMLab) and the Informatics Institute . She also holds a Research Scientist position at the MIT-IBM Watson AI Lab and has been an ELLIS Scholar since 2022. Education PhD in Artificial Intelligence (2017), VU Amsterdam MSc in Computer Engineering (2011), Politecnico di Milano BSc in Computer Engineering (2008), Università degli Studi di Trieste Research Focus : At the intersection of Causality and Machine Learning , her work addresses Causal Representation Learning from high-dimensional data (images, sequences) Causal Discovery in latent confounder scenarios Causality-inspired Reinforcement Learning for robustness and adaptability Neurosymbolic AI for theoretical guarantees Publication Trends : Her recent work explores Factored adaptation in non-stationary environments (NeurIPS 2022) Temporal causal identifiability (ICML 2022) Binary interaction-based causal discovery (UAI 2023) Safe exploration in visual RL (HSCC 2021) Structure learning lower bounds (NeurIPS 2020) Scientific Recognition : ELLIS Scholar (2022–present) Spotlight presentations at ICML 2022 and ICLR 2022 Advising & Collaborations : Currently supervising 6 PhD students at the University of Amsterdam and AUMC, with 12 alumni advisees. Collaborates with researchers at MIT-IBM Watson AI Lab, Simons Institute, and TUM.

Ana Ferreiraمشاهده پروفایل

استاد

• Geosciences
• Geophysics
• Seismology
• +۵ مورد دیگر

Professor Ana Ferreira is a leading seismologist at University College London, focusing on deep Earth structure and earthquake source processes. Her research integrates seismic and geodetic data to understand planetary dynamics from the surface to the lowermost mantle. Her work includes pioneering seismic tomography, such as the SGLOBE-rani 3D anisotropy model, and earthquake source analysis using InSAR and normal mode data. She leads the Seismological Laboratory and teaches Seismology II and Field Geophysics. Recent projects include the UPFLOW experiment, which deployed 49 ocean bottom seismometers in the Atlantic, and studies on Greenland ice sheet evolution and Tonga volcanic eruptions. Her EU-funded research emphasizes multidisciplinary data integration and numerical modeling. Key article trends cover mantle anisotropy, global tomography, earthquake source inversion, cosmology-inspired machine learning, and ocean bottom seismology applications in geodynamics and cryospheric processes.

• Complex Systems Modeling
• Computational Mathematics
• Applied Mathematics
• +۷ مورد دیگر

Yannis Kevrekidis is a Professor at Princeton University with a distinguished career in computational mathematics and chemical engineering. He is currently a Hans Fischer Senior Fellow at the Technical University of Munich (TUM-IAS) and has held visiting positions at institutions like the Zuse Institute Berlin and Caltech. Education : National Technical University of Athens (Chemical Engineering) University of Minnesota (PhD in dynamical systems) Research Interests : Equation-Free and Variable-Free Modeling Complex Systems Dynamics Multiscale Computation Integration of Machine Learning with Scientific Computing Pattern Formation & Instability Analysis Key Article Trends : Advanced data-driven modeling of dynamical systems Manifold learning for reaction coordinates Projective integration methods Coarse-grained modeling across disciplines Applications in epidemiology, neuroscience, and fluid dynamics Scientific Awards : Guggenheim Fellowship Humboldt Research Award Computing in Chemical Engineering Award (AIChE) Bodossaki Academic Award Allan P. Colburn Award Collaborations : Extensive international collaborations with institutions in Germany, Austria, and the UK Key role in the Complex Systems Modeling and Computation focus group at TUM-IAS

Richard D. Komistekمشاهده پروفایل

استاد

• Biomechanics
• Musculoskeletal Research
• Orthopaedic Implants
• +۳ مورد دیگر

Richard D. Komistek serves as the Fred M. Roddy Professor of Biomedical Engineering and Co-Director of the Center for Musculoskeletal Research at the University of Tennessee, Knoxville, positions he has held since 2007 and 2003 respectively. His academic career spans over three decades with significant contributions to orthopaedic biomechanics and joint replacement technology. Dr. Komistek earned his PhD (1992), MSME (1989), and BSME (1988) from the University of Memphis, establishing a strong foundation in mechanical engineering principles applied to biomedical challenges. His research program focuses on advanced biomechanical modeling of the musculoskeletal system, with particular expertise in in vivo kinematic analysis of total joint replacements. Key research areas include failure mode analysis of arthroplasty implants, closed-loop control systems of human movement, and mathematical modeling of joint mechanics. His work bridges engineering principles with clinical orthopaedics to improve implant design and patient outcomes. Analysis of his publication record reveals consistent innovation in total knee arthroplasty research, with emphasis on tri-condylar designs, mobile-bearing systems, and in vivo measurement techniques. His work demonstrates evolving trends toward high-flexion implants, gender-specific considerations, and advanced fluoroscopic tracking methods to optimize joint replacement performance. Dr. Komistek's contributions have been recognized through prestigious awards including: University of Tennessee Research and Creative Achievement Award (2015) Multiple Research Fellow Awards (2005-2012) Knee Society Conventry Award (2003) ESB Clinical Biomechanics Award (1996-1998) Multiple Clinical Orthopedics Multimedia Awards Journal of Clinical Biomechanics Award (2007) As Co-Director of the Center for Musculoskeletal Research, he leads interdisciplinary teams developing next-generation diagnostic tools including mobile tracking fluoroscopy and implant diagnostic devices. His patented technologies focus on improving total hip and knee arthroplasty through innovations in load sensing, infection detection, and wear monitoring.

Yang Shenمشاهده پروفایل

دانشیار

• Algorithms for modeling biological molecules
• Optimization and machine learning
• Systems and control
• +۵ مورد دیگر

Yang Shen is an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University, affiliated with the Department of Computer Science and Engineering and the Institute of Biosciences and Technology. He holds a B.E. in Automation from the University of Science and Technology of China (2002) and a Ph.D. in Systems Engineering from Boston University (2008). His research focuses on algorithms for modeling biological molecules, systems, and data, with applications in protein docking, drug design, systems biology, and omics. He has received prestigious awards such as the NSF CAREER Award (2020) and MIRA Award (2017). His work integrates machine learning, optimization, and graph theory to address challenges in computational biology. Notable contributions include generative AI for protein design, interpretable models for compound-protein affinity prediction, and Bayesian active learning for protein docking. Shen has advised numerous students, including Yuning You, Mostafa Karimi, and Arghamitra Talukder, who have received awards like the Chevron Scholarship and NSF Graduate Fellowships. His lab actively collaborates on projects in drug discovery, synthetic biology, and precision medicine. Shen has led funded projects totaling over $3.5 million from NIH and NSF, exploring topics like molecular mechanisms of cancer mutations and AI-driven drug design. He serves on editorial boards for journals like the Journal of Biological Systems and has organized workshops such as the International Workshop on Biomedical Informatics with Optimization and Machine Learning (BOOM). His research bridges computational methods and biological systems, advancing both theory and practical applications in healthcare and biotechnology.

JULIEN BONNELمشاهده پروفایل

استاد

• Ocean Acoustics
• Signal Processing
• Machine Learning
• +۱۲ مورد دیگر

Julien Bonnel is a Professor at the Scripps Institution of Oceanography, University of California, San Diego, where he is affiliated with the Marine Physical Laboratory. His research focuses on the application of signal processing and machine learning techniques to ocean acoustics, with significant contributions to underwater sound propagation and monitoring. His educational background includes an HDR (Habilitation to Direct Research) from Université de Bretagne Occidentale (2017), a Ph.D. from Université de Grenoble (2010), and an M.Sc. from Grenoble INP (2007). 2017: HDR, Université de Bretagne Occidentale, France 2010: Ph.D., GIPSA-Lab, Université de Grenoble, France 2007: M.Sc., Université de Grenoble (Grenoble INP), France Dr. Bonnel's research interests center on ocean acoustics, particularly signal processing and machine learning applied to passive acoustic monitoring , bioacoustics , and ambient noise analysis . He investigates geoacoustic inversion , acoustical tomography , and source localization using normal mode propagation models in underwater environments. His work integrates numerical modeling and ocean instrumentation , contributing to remote sensing and satellite oceanography . These efforts are critical for understanding marine ecosystems and underwater communication. His scientific contributions span applied ocean sciences, with a strong emphasis on developing advanced methodologies for interpreting underwater acoustic signals. While specific publications are not listed here, his research trajectory indicates a sustained focus on inference systems and ocean acoustic modeling. Dr. Bonnel leads the Signals, Inference and Ocean Acoustics Lab , where he mentors students and researchers in cutting-edge acoustics projects. He is actively involved in research grants and collaborative oceanographic studies, though specific funding sources are not detailed in the provided text. He maintains a presence on academic platforms including Google Scholar and ResearchGate, supporting broad dissemination of his work.

• Alzheimer's Disease
• Neuroscience
• Cognitive Neuroscience
• +۵ مورد دیگر

Jose Luis Cantero Lorente is a University Professor in the Department of Physiology, Anatomy and Cell Biology at Pablo de Olavide University, specializing in neuroscience with a primary focus on Alzheimer's disease and neurodegenerative disorders. His work bridges electrophysiology, neuroimaging, and biomarker discovery to understand cognitive decline in aging. Education: Doctorate from the University of Seville (1999) with thesis: "Electrophysiological characterization of alpha activity in three states of brain activation in human subjects: relaxed wakefulness, drowsiness and REM phase", supervised by Dr. Carlos María Gómez González. Research Interests: Dr. Cantero Lorente's research spans Alzheimer's Disease , Neuroscience , and Biomarkers , with emphasis on early detection mechanisms through salivary, blood, and CSF analysis. He investigates sleep-memory interactions , metabolic drivers of neurodegeneration (e.g., insulin resistance), and neuroinflammatory pathways using multimodal approaches including proteomics, lipidomics, and functional MRI. His pioneering work established salivary lactoferrin as a diagnostic tool for Alzheimer's. Publication Trends: His 2022-2025 publications reveal a strategic shift toward multimodal biomarker integration , combining amyloid-beta, tau, and metabolic markers for early Alzheimer's detection. Key themes include Parkinson's disease proteomics (e.g., candesartan neuroprotection), herpes virus-amyloid links in aging, and intracortical myelin alterations as precursors to cognitive decline. Recent work increasingly incorporates machine learning for database analysis and explores angiotensin-based neuroprotective strategies. Scientific Awards: No awards were specified in the source material. Advising and Grants: He supervises doctoral candidates in the Biotechnology, Biomedicine and Health Sciences program at Pablo de Olavide University, specifically guiding the "Early Detection of Alzheimer's Disease" track. His research is supported by Spain's PAIDI framework (Health Science and Techniques), with projects focusing on interdisciplinary audiological databases and neural network alterations in mild cognitive impairment. Labs and Teams: As leader of the LNF Functional Neuroscience research group, he directs studies on electrophysiological correlates of cognitive decline, utilizing EEG, MRI, and molecular techniques to map structural-functional brain changes in Alzheimer's progression. The group collaborates extensively on national initiatives for biomarker validation in neurodegenerative diseases.

Haydar Aygunمشاهده پروفایل

دانشیار

• Acoustic Materials
• Metamaterials
• Biomedical Acoustics
• +۷ مورد دیگر

Dr. Haydar Aygun serves as Associate Professor in Acoustics and Building Services at the Bioscience and Bioengineering Research Centre, Department of Civil and Building Services Engineering, University of Salford. He holds multiple leadership roles including Course Director for the MSc Environmental and Architectural Acoustics, Diploma in Acoustics and Noise Control, and The Acoustics Apprenticeship programs. With a PhD in Acoustics and Vibration from the University of Hull (2006), his academic foundation includes a MSc in Advanced Materials, Processes and Manufacturing (2002) and a BSc in Mechanical Engineering. Dr. Aygun's research spans multiple critical domains of acoustics: Development and characterization of novel acoustic materials and metamaterials for noise control Duct acoustics and sound propagation through complex media Biomedical applications including bone analysis and respiratory sound detection Vibration control of porous materials using advanced computational methods Environmental noise assessment and building acoustics solutions His publication record shows consistent scholarly output with 46 research items from 2006-2025, demonstrating particular productivity in recent years (7 publications in 2023). His work shows increasing integration of computational methods with experimental validation, expanding applications in medical diagnostics and sustainable building technologies. Dr. Aygun actively contributes to the academic community through multiple service roles: Editorial Board Member for Journal of Applied Acoustics EPSRC Grant Reviewer Reviewer for Journal of Applied Acoustics and Journal of the Acoustical Society of America Deputy leader of Biomedical Acoustics Special Interest Group within UK Acoustics Network As an educator, Dr. Aygun has supervised numerous PhD students and teaches across multiple levels from undergraduate Building Services Engineering to specialized postgraduate Acoustics programs. His consultancy work bridges academic expertise with practical industry applications in noise assessment, building acoustics, and event sound management.

• Mechanical Engineering
• Structural Dynamics
• Nonlinear Dynamics
• +۳ مورد دیگر

Fregolent Annalisa is a Full Professor at the University of Rome La Sapienza, specializing in mechanical and structural engineering. Her research focuses on nonlinear dynamics, vibration analysis, and dynamic substructuring techniques. She has contributed significantly to advancing methodologies for joint identification, structural health monitoring, and the analysis of complex mechanical systems. Her work spans applications in aerospace, agricultural machinery, and noise reduction. Notable areas include the development of digital twins for hydraulic systems, experimental identification of pneumatic components, and the study of friction-induced vibrations using advanced substructuring techniques. She has published extensively on nonlinear modal coupling, contact acoustics, and error propagation in structural analysis. Key achievements include pioneering studies on configuration-dependent dynamics and the optimization of vibration transmission in mechanical linkages. Her research integrates experimental and numerical methods to address challenges in structural dynamics and mechanical system design. Research Highlights: Dynamic Substructuring Techniques Nonlinear Joint Identification Structural Health Monitoring Pneumatic and Hydraulic System Modeling Friction-Induced Vibration Analysis

Anna Jackmanمشاهده پروفایل

مدرس

• Political Geography
• Feminist Geopolitics
• Digital Geographies
• +۹ مورد دیگر

Anna Jackman is a Lecturer in Human Geography at the School of Archaeology, Geography and Environmental Science (SAGES), University of Reading. She serves as Director of Postgraduate Research Students in Human Geography and is a member of the SAGES Diversity and Inclusion leadership collective and Research Ethics Committee. Her research is situated at the intersection of feminist political geography, digital and robotic technologies, and critical militarism. Education: PhD in Human Geography, University of Exeter, 2017 Fellowship, Advance HE General Visual Line of Sight Certificate (GVC), UK A2 Certificate of Competency (A2 CofC), UK Anna Jackman’s research focuses on the political geographies of drones, particularly how drone technologies reshape airspace, urban life, and military practices. Her work critically engages with feminist geopolitics, volumetric space, and the gendered and embodied dimensions of drone use. She explores how drones are visualized, normalized, and naturalized in public, military, and commercial contexts, especially through media and tradeshows. Her research emphasizes the ethical, legal, and social implications of drone proliferation, including issues of surveillance, security, and harm. Her recent publications examine drone sensing, feminist understandings of volume, and the concept of 'everyday droning' as a mode of homing military technologies into civilian life. She has led an ESRC New Investigator Award project titled 'Diversifying Drone Stories' (2021–2023), which investigates aerial insecurities and harms in UK airspace. Her interdisciplinary work connects geography with law, gender studies, and security analysis. Scientific Awards and Recognition: Economic and Social Research Council (ESRC) New Investigator Award Advance HE Fellowship Specialist Adviser to the UK House of Commons Science and Technology Committee (2019) Expert witness for the Defence Committee on domestic drone threats Anna advises on postgraduate research in human geography and has contributed to collaborative projects such as the Royal Geographical Society and Antipode-funded 'States of Precarity' initiative. She has received research funding from the ESRC and is actively involved in public engagement, policy advising, and interdisciplinary collaboration. Her work is supported by her expertise in ethnographic methods, particularly event ethnography at defense tradeshows. She is affiliated with research centers including the Human Geography Research Cluster and the Global Development Research Division at the University of Reading. She also contributes to academic discourse through her roles on the editorial boards of Digital War and Defense & Security Analysis .

• Structural Dynamics
• Nonlinear Dynamics
• Experimental Mechanics
• +۱۲ مورد دیگر

Matt Allen is a Professor in the Department of Mechanical Engineering at Brigham Young University (BYU), within the College of Engineering. He previously held faculty positions at the University of Wisconsin-Madison in the Engineering Physics Department, progressing from Assistant to Associate to Full Professor. His research group, the BYU Structural Dynamics Research Group, is actively engaged in experimental and analytical studies of complex dynamic systems. Ph.D. and M.S. in Mechanical Engineering, Georgia Institute of Technology (2005) B.S. in Mechanical Engineering, Brigham Young University (2001) Postdoctoral Appointee, Sandia National Laboratories (2005–2006) Dr. Allen’s research centers on structural dynamics, with a strong emphasis on nonlinear dynamics , experimental mechanics , and vibrations . His team develops innovative methods to characterize and model systems where traditional modeling fails—such as structures with large deformations, frictional joints, or complex interfaces. Key research thrusts include nonlinear normal modes, substructuring for nonlinear systems, damping characterization in bolted joints, and test-based model updating. His work bridges engineering structures and biomechanical systems, such as human gait dynamics. The research publications reflect a consistent focus on nonlinear structural dynamics , experimental system identification , and model validation . Trends show increasing integration of computational methods like harmonic balance and reduced-order modeling with experimental data, particularly for spacecraft, aircraft, and mechanical joints. The work is highly interdisciplinary, intersecting mechanical, aerospace, and civil engineering. Dominick J. DeMichele Award, Society for Experimental Mechanics B. J. Lazan Award, Society for Experimental Mechanics NASA NESC Group Achievement Award for work on nonlinear joints in the MPCV Young Investigator Award, Air Force Office of Scientific Research Dr. Allen has advised numerous graduate students, many of whom appear as co-authors on publications. He has secured over $3.3 million in research funding as principal investigator, with total project funding exceeding $5.5 million when including funds managed by collaborators. He is actively involved in professional service, including editorial roles for Experimental Mechanics and Experimental Techniques , and leadership in the Society for Experimental Mechanics. He teaches core courses in dynamics, vibrations, and modeling at both BYU and previously at UW-Madison. He leads the BYU Structural Dynamics Research Group, which focuses on developing experimental and analytical tools for understanding complex dynamic behavior in engineering and biological systems. The group emphasizes rigorous validation, interdisciplinary collaboration, and real-world application in aerospace, automotive, and biomechanical domains.

Fabio Pusateriمشاهده پروفایل

دانشیار

• Partial Differential Equations
• Dispersive and Wave Equations
• Fluid Dynamics
• +۲ مورد دیگر

Fabio Pusateri is an Associate Professor in the Department of Mathematics at the University of Toronto , holding a faculty position since 2022. He previously served as an Assistant Professor at the University of Toronto (2018-2022) and Princeton University (2014-2018), following postdoctoral work at Princeton (2011-2014). His research focuses on Nonlinear Partial Differential Equations , with specialized studies in Dispersive and Wave Equations , Fluid Dynamics , and Harmonic Analysis . Education : PhD in Mathematics from New York University (2011), MSc from Università Roma Tre (2006) Awards : Coxeter-James Prize (2022), Antonio Ambrosetti Medal (2021), ISAAC Award (2019) Research Contributions : Pioneering work on global existence and stability for water wave systems, radiation damping in Klein-Gordon equations, and wave turbulence theory. His research extends to quantum propagation speeds and nonlinear Schrödinger equations with potentials. Grants : NSERC Grant (2018-2025), NSF Grant (2013-2017), Simons Fellowship (2011-2014) Leadership : Co-organizer of the Fields Colloquium in Applied Mathematics and editor for Nonlinear Analysis .

• Quantum Technology
• Photonics
• Semiconductor Materials
• +۳ مورد دیگر

Dr. Xin Yi is a Research Fellow at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Photonics and Quantum Sciences. He holds a PhD in Electronic and Electrical Engineering from the University of Sheffield (2015–2020) and joined Heriot-Watt in 2020 as a Research Associate. His research focuses on developing next-generation quantum detectors, particularly avalanche photodiodes and single-photon avalanche diodes (SPADs) for short-wave infrared (SWIR) applications. Funded by the EPSRC, his work emphasizes semiconductor materials like AlAsSb, III-V compounds, and Ge-on-Si heterostructures to enhance detector performance in quantum technologies. Research interests include impact ionization mechanisms, semiconductor characterization, and device fabrication. Key achievements include designing low-noise Ge-on-Si SPADs with record sensitivity and high-gain avalanche photodiodes for SWIR detection. Yi has received the EPSRC Quantum Technology Career Development Fellowship (2022) and contributed to over 20 peer-reviewed publications. He collaborates internationally and actively presents at conferences, showcasing advancements in quantum detectors and optoelectronic materials. His work bridges theoretical modeling and experimental validation, targeting applications in quantum communication, sensing, and imaging. Grants and fellowships support his exploration of novel semiconductor materials and fabrication techniques to push the boundaries of SWIR detection beyond traditional silicon limitations.

• Civil Engineering
• Materials Engineering
• Resources Engineering and Extractive Metallurgy
• +۴ مورد دیگر

Luis Ibarra is an Associate Professor in the Department of Civil & Environmental Engineering at the University of Utah, where he has been employed since 2010. He was promoted to Associate Professor in July 2016 after serving as an Assistant Professor from 2010 to 2016. He earned his PhD in Civil and Environmental Engineering from Stanford University in 2004. Research Interests Dr. Ibarra's research spans multiple domains of civil engineering with particular emphasis on seismic performance of structures, nuclear safety, and material behavior. His work integrates computational mechanics, experimental testing, and probabilistic risk assessment to address challenges in structural resilience under extreme loading conditions. Primary research themes include: Seismic modeling of nuclear containment structures and fuel rod behavior Development of advanced hysteretic models for structural components Earthquake engineering applications for bridges and buildings Probabilistic risk assessment of structural systems Publications Overview Recent publications (2018-2025) demonstrate Dr. Ibarra's focus on computational mechanics applied to nuclear and structural safety, featuring advanced finite element modeling, probabilistic methods, and experimental validation. Recurring themes include seismic vulnerability of nuclear facilities, deterioration modeling of structural components, and innovative retrofitting techniques for earthquake resilience. The research consistently integrates material science fundamentals with structural engineering applications. Awards and Recognition Ben Jacobsen Kingfisher Bend Ranch Award for exceptional teaching effectiveness (2015) Teacher of the Year Award, CvEEN Department (2014) Teacher of the Year Award in the CvEEN Department (2013) Milek Fellowship Award, American Institute of Steel Construction (2013) Academic Activities Dr. Ibarra maintains an active research program supported by multiple grants including seismic modeling of nuclear structures, machine learning applications for collapse prediction, and performance of retrofitted bridges. He regularly advises graduate students in thesis research and teaches courses in structural dynamics, steel design, and structural analysis. His professional service includes editorial board membership for the Tall and Special Buildings Journal and community outreach through earthquake education programs for high school students.