Probabilistic Structural Health Monitoring Professors and Supervisors

Samy MissoumView profile

Professor

University of ArizonaUnited States

Dr. Samy Missoum is a Professor in the Department of Aerospace and Mechanical Engineering at the University of Arizona's College of Engineering. His academic career spans over two decades with continuous research and teaching contributions in multidisciplinary design optimization, reliability-based design, and computational mechanics. He has maintained an active teaching schedule offering graduate-level courses including Finite Element Methods, Design Optimization, and Advanced Finite Element Analysis through Fall 2025. Dr. Missoum's research focuses on Multidisciplinary Design Optimization, Reliability-Based Design Optimization, Finite Element Analysis, Probabilistic Design, Structural Dynamics, and Aeroelasticity. His work bridges theoretical developments with practical engineering applications, particularly in handling uncertainty in complex systems. He has pioneered approaches using Support Vector Machines for engineering design problems, especially for discontinuous responses and multiple failure modes. His research has significant applications in aerospace structures, mechanical systems, and renewable energy technologies. His recent publications (2022-2024) demonstrate a strong focus on reliability assessment of uncertain systems subjected to random vibrations, stochastic optimization of nonlinear energy sinks, and thermal optimization for concentrated solar power systems. His work employs sophisticated computational approaches including surrogate modeling, multi-fidelity methods, and advanced optimization techniques to address complex engineering problems with uncertainty. Dr. Missoum's scholarly achievements have been recognized through several awards including being named an Associate Fellow of the American Institute of Aeronautics and Astronautics (2017) and receiving the 'Most Helpful to Their College Education' award from AME Seniors (2014). He was also invited as a Professor at Ecole Centrale in Marseille, France during 2021. His research has been consistently supported by grants that enable his work on structural reliability, optimization under uncertainty, and multidisciplinary design. He maintains active collaborations with researchers both nationally and internationally, as evidenced by his co-authored publications with scholars from various institutions. Dr. Missoum leads the CODES Laboratory at the University of Arizona, which focuses on Computational Optimization and Design under uncertainty. The laboratory conducts research on reliability assessment, multidisciplinary design optimization, and development of novel computational methods for engineering design problems with complex constraints and uncertainties.

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Kurt StockingerView profile

Professor

Zurich University of Applied Sciences (ZHAW)Switzerland

Prof. Dr. Kurt Stockinger is a Professor of Computer Science at ZHAW School of Engineering and holds a doctorate at the University of Zurich . He serves as Head of the MAS Data Science program and co-leads the ZHAW Datalab . His research focuses on Intelligent Information Systems , bridging information systems, natural language processing, and machine learning. Affiliated with the University of Zurich, he contributes to Quantum Machine Learning and Open Data Exploration initiatives. Stockinger's educational background includes a PhD in Computer Science (University of Vienna & CERN), a Master in Business Informatics (University of Vienna), and a CAS in Didactics & Methodology (ZHAW). He has taught courses in Quantum Computing , Big Data for Natural Sciences , and Data Science programs at ZHAW and University of Zurich. His research spans Data Science , Big Data , Natural Language Query Processing , Knowledge Graphs , and Quantum Machine Learning . Recent publications focus on quantum autoencoders , hybrid quantum neural networks , and prompt engineering for knowledge graph question answering. He has developed frameworks like ScienceBenchmark for real-world NL-to-SQL evaluation and NQuest for natural language query exploration. Scientific awards include the Best Paper Award at 7th Swiss Conference on Data Science (2020) He leads major projects such as DataGEMS (Data Discovery Platform, Horizon Europe) Digital Health Zurich (Clinical Innovation Lab) INODE4StatBot.swiss (NL-to-SQL Translation) GraphQueryML (Graph Database Optimization) ScienceBenchmark (NL-to-SQL Evaluation) Stockinger's work intersects with computer vision , biomedical data , and industrial applications , demonstrated through collaborations with institutions like Lawrence Berkeley National Laboratory, CERN, and University of Washington. He has contributed to establishing QuantumBasel and ZHAW Datalab as research hubs.

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Roula MaloofView profile

Teaching Professor

New York UniversityUnited States

Roula Maloof serves as an Industry Professor within the Department of Civil and Urban Engineering at NYU's Tandon School of Engineering, where she contributes to structural engineering education and research. Her academic credentials include: Bachelor of Science in Civil Engineering from St. Joseph University (Beirut, Lebanon), 1986 Master of Science in Civil Engineering from Polytechnic University, 1993 Doctor of Philosophy in Civil Engineering from Polytechnic University, 1997 Her research centers on structural health monitoring with emphasis on probabilistic anomaly detection frameworks and crack characterization methodologies for civil infrastructure systems. She employs strain sensing grids and advanced data analysis to identify structural damage patterns, contributing to safer infrastructure assessment protocols. No scientific awards were documented in the source material. Information regarding student advisement and research funding sources remains unspecified in available records.

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Julian DreweView profile

Professor

Royal Veterinary CollegeUnited Kingdom

Julian Drewe is Professor of Veterinary Epidemiological Surveillance within the Veterinary Epidemiology, Economics and Public Health (VEEPH) group at the Royal Veterinary College (RVC). He holds an RCVS Specialist status in Veterinary Epidemiology and is a European Veterinary Specialist in Wildlife Population Health. He serves as the RVC lead for Epidemiological and Statistical Modelling in the WOAH (formerly OIE) Collaborating Centre for Risk Analysis & Modelling, a joint venture with the Animal and Plant Health Agency. His educational background includes a PhD in Veterinary Epidemiology from the University of Cambridge, an MSc in Wild Animal Health from the Institute of Zoology and RVC, and a Bachelor of Veterinary Medicine from RVC London. He is also a Fellow of the Higher Education Academy and holds a Postgraduate Certificate in Veterinary Education. Drewe's research focuses on disease surveillance systems, risk analysis for disease incursions, and improving diagnostic testing in animal populations. He studies diseases that spread between humans, domestic animals, and wildlife through interdisciplinary research combining epidemiology, mathematics, and social sciences. His work particularly emphasizes tuberculosis in badgers, meerkats, and cattle, as well as animal health surveillance evaluation frameworks. His publications show a strong focus on developing frameworks for surveillance evaluation (SERVAL), analyzing livestock-wildlife contacts, and improving diagnostic approaches for diseases like tuberculosis. His recent work increasingly incorporates machine learning techniques and probabilistic approaches to disease diagnosis and risk assessment. RCVS Specialist in Veterinary Epidemiology European Veterinary Specialist in Wildlife Population Health Fellow of the Higher Education Academy Member of the Animal Health and Welfare Panel, European Food Safety Authority (2018-2024) Drewe supervises multiple PhD students and ECZM residents in Wildlife Population Health. He has developed and leads the MSc module Principles of Epidemiology and Surveillance at RVC and has delivered international workshops on epidemiology across Asia and Africa. His outreach activities include science seminars in local schools focusing on disease transmission networks and pandemic risks.

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Radu CalinescuView profile

Professor

Max Planck Institute for Security and PrivacyGermany

Radu Calinescu is Professor of Computer Science at the University of York, UK, where he serves as Principal Investigator for the UKRI Trustworthy Autonomous Systems Node in Resilience and leads the Trustworthy Adaptive and Autonomous Systems and Processes (TASP) Research Team. His academic career includes previous positions as Lecturer in Computer Science at Aston University (2009-2012), Senior Researcher at the University of Oxford (2008-2009), and part-time Lecturer at Oxford (2005-2009). Professor Calinescu's research focuses on formal modelling, analysis, verification and controller synthesis for autonomous and self-adaptive systems, with particular emphasis on parametric and probabilistic model checking, automated and model-driven software engineering. His work applies these approaches to robotic, cyber-physical, embedded and service-based systems, with a strong commitment to using formal methods at runtime to enhance the resilience and safety of critical autonomous systems. His extensive publication record spans top-tier journals including IEEE Transactions on Software Engineering, Journal of Systems and Software, and Automated Software Engineering. His research demonstrates consistent focus on verification techniques for adaptive systems, with increasing attention to safety-critical applications in recent years. His work bridges theoretical formal methods with practical applications in robotics and autonomous systems. British Computer Society Distinguished Dissertation Award for his DPhil thesis on Autonomic-Independent Loop Parallelisation Principal Investigator for multiple major projects including Continual Verification and Assurance of Robotic Systems under Uncertainty (ORCA Hub/EPSRC), Safety of AI Techniques (AAIP/Lloyd's Register Foundation), and CSI:Cobot Program Committee Co-Chair for major conferences including SEFM 2021, SEAMS 2020, and SERENE 2019 Professor Calinescu actively supervises numerous PhD students and postdoctoral researchers, with current team members including Faisal Alhwikem, Xinwei Fang, Mario Gleirscher, James Harbin, and Colin Paterson. His research group is based at the Ron Cooke Hub in York, a purpose-built facility housing world-class research groups and startups. His former students have gone on to academic positions at institutions worldwide and industry roles at major technology companies.

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Agata SiemaszkoView profile

Lecturer

Gdańsk University of TechnologyPoland

Agata Siemaszko is an Assistant Lecturer at the Department of Building Engineering, Faculty of Civil and Environmental Engineering, Gdańsk University of Technology. She maintains an active research profile while contributing to academic instruction in civil engineering disciplines. Dr. Siemaszko's research interests span multiple critical areas of modern civil engineering: Bayesian Networks applications in construction management Risk assessment methodologies for urban construction projects Metaheuristic optimization techniques for engineering decision-making Life cycle assessment and cost analysis of building systems Traffic-induced structural vibrations and safety assessment Decision support systems for engineering management under uncertainty Her publication record reveals a clear evolution from foundational risk assessment research to sophisticated computational approaches integrating Bayesian Networks with metaheuristic optimization. This progression demonstrates her commitment to developing practical tools that address the complex, multi-criteria challenges inherent in modern construction management where stakeholders often have conflicting interests. Her most recent work continues to push boundaries with 2025 publications focusing on optimization techniques for building project management. Dr. Siemaszko has earned recognition for her scholarly contributions through several prestigious awards: Second Prize for outstanding publication 'Problems of maintenance of historic bridge structures' at the 14th Scientific Conference of Doctoral Students of Civil Engineering Departments (2014) Winner of the competition for best scientific works concerning the Żuławy region of the Vistula Delta (2012) Third place in the competition for master's and doctoral theses thematically related to the Vistula River (2010) Her research activities include grant-supported work such as the Miniatura 7 grant DEC-2023/07/X/ST8/00317 for vibration measurements of residential buildings. She has contributed to numerous research projects addressing risk management, construction optimization, and structural safety assessment in challenging urban environments. Dr. Siemaszko's laboratory work focuses on structural vibration testing and monitoring, particularly examining how traffic-induced vibrations affect residential buildings. Her approach combines empirical measurement with advanced probabilistic modeling to develop practical risk assessment frameworks for building safety and longevity.

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Aly I. El-OseryView profile

Professor

New Mexico Institute of Mining and TechnologyUnited States

Dr. Aly I. El-Osery is a Professor and Chair of the Electrical Engineering Department at New Mexico Tech, where he also serves as Dean of Graduate Studies. With a complete educational background from the University of New Mexico (B.S., M.S., and Ph.D. in Electrical Engineering), Dr. El-Osery has established himself as a prominent researcher and educator in multiple engineering disciplines. His research spans several interconnected fields: Structural Health Monitoring of civil infrastructure and aerospace systems Inertial Navigation Systems and sensor fusion techniques Wireless communication systems and power control algorithms Fuzzy logic applications in engineering systems Image processing and enhancement Dr. El-Osery's publication record shows a consistent trajectory of high-impact research, with recent work focusing on advanced sensor networks for infrastructure monitoring, multi-IMU configurations for precise navigation, and innovative approaches to damage detection in critical structures. His work bridges theoretical developments with practical engineering applications. His professional service includes leadership roles as Senior IEEE member, General Co-chair for IEEE SoSE Conference 2015, and Program Co-Chair of the IEEE SMC (2011). He serves as a technical reviewer for multiple prestigious journals and has organized significant professional workshops. Dr. El-Osery maintains active laboratory work through the Intelligent Systems and Robotics Group, where students engage in cutting-edge research on autonomous systems, sensor networks, and navigation technologies. The lab environment emphasizes both theoretical understanding and practical implementation skills.

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Gul AghaView profile

Professor

Menlo CollegeUnited States

Gul Agha is a distinguished Professor of Computer Science at the University of Illinois at Urbana-Champaign and Director of the Open Systems Laboratory. His career spans over three decades of pioneering research in concurrent and distributed computing systems. Professor Agha's research focuses on the actor model of computation, formal methods, and statistical model checking. His work bridges theoretical foundations with practical applications in distributed systems, programming languages, and verification techniques. He has made seminal contributions to understanding concurrent computation through his development of the actor model framework. His publication record shows consistent contributions from the 1980s through the present, with recent work focusing on verification of safety-critical systems, serverless computing optimization, and advanced techniques for distributed actor systems. The trend in his research demonstrates a progression from theoretical foundations to practical applications in modern computing environments including cloud infrastructure and IoT systems. His scientific achievements have been recognized with numerous prestigious awards: Fellow of the IEEE (2002) IEEE Computer Society Meritorious Service Award Golden Core Member of the IEEE Computer Society International Lecturer for the ACM (1992-1997) ACM Fellow (2018) for research in concurrent programming and formal methods Professor Agha has supervised numerous graduate students and postdoctoral researchers through the Open Systems Laboratory. His laboratory has secured substantial research funding for projects in distributed systems, formal verification, and wireless sensor networks. His work on the actor model has influenced both academic research and industry practices in concurrent and distributed computing. As Director of the Open Systems Laboratory, Professor Agha leads a research group focused on advancing the state of the art in distributed and concurrent systems. The laboratory serves as an intellectual hub for theoretical and practical research in open distributed systems, with projects spanning from foundational theory to real-world implementations in areas like structural health monitoring and cloud computing.

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Dirk RoosView profile

Professor

Hochschule Niederrhein University of Applied SciencesGermany

Prof. Dr.-Ing. Dirk Roos is a Professor for Computersimulation und Design Optimization at the Department of Mechanical Engineering and Process Engineering, Niederrhein University of Applied Sciences, where he has served since March 2011. He is also the Head of the Institute for Modeling and High Performance Computing (IMH) since December 2016. His academic career includes previous positions as Head of Robust Design Optimization at DYNARDO Dynamic Software and Engineering GmbH (2002-2011) and Technical Solutions Specialist at CADFEM GmbH (2000-2008). Prof. Roos specializes in machine learning, robust design optimization, stochastic analysis, and probabilistic modeling for virtual product development. His research focuses on developing mathematical methods for stochastic structural and fluid simulation, robustness and reliability analysis, multidisciplinary optimization, and software development for complex system development. He has established strong collaborations with academic institutions including RWTH Aachen, Ruhr-Universität Bochum, and industrial partners like Siemens AG and Robert Bosch GmbH. His recent work explores Probabilistic Intelligence, cyber-physical systems, digital twins, and Big Data Analysis, with applications spanning power plant flexibility, renewable energy, turbomachinery, automotive, aerospace, and medical technology. Prof. Roos has successfully secured numerous third-party funded research projects totaling over 1.8 million euros, including collaborations with Siemens AG, Robert Bosch GmbH, and various universities. optiSLang Award 2012 Weimar Optimization and Stochastic Days Gutachter BMBF im Programm FH-Kooperativ since 2019 Mitglied des Scientific Committee International Probabilistic Workshop since 2017 Mitgliedschaft im Graduierteninstitut für angewandte Forschung der Fachhochschule in NRW since 2017 Prof. Roos supervises multiple doctoral students and has successfully completed several cooperative PhD projects. His current research projects include AI-driven optimization for medical care, reinforcement learning for emergency room planning, and machine learning algorithms for power plant component lifetime prediction. The Institute for Modeling and High Performance Computing (IMH) under his leadership develops mathematical methods and software competence in machine learning and CAE-based robust design optimization for virtual product development.

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Murat InalpolatView profile

Professor

University of Massachusetts LowellUnited States

Murat Inalpolat is a Professor and Associate Chair for Doctoral Studies in the Department of Mechanical and Industrial Engineering at the University of Massachusetts Lowell's Francis College of Engineering. He leads research projects related to wind energy, aerospace and automotive technologies and serves as an Associate Editor for the ASME Letters in Dynamic Systems and Controls Journal. In 2022, he was awarded the prestigious NASA Faculty Fellowship for work on aircraft electrification. His research focuses on structural health monitoring, diagnostics and prognostics of rotating machinery, damage detection and identification, probabilistic design and analysis, uncertainty quantification, reliability and sustainability, electric propulsion, and wind energy. His work combines theoretical modeling with experimental validation to address complex structural dynamics and acoustic challenges. His recent publications demonstrate a strong focus on wind turbine blade monitoring using acoustic sensing techniques, with several papers addressing damage detection methods, vibration analysis, and structural health monitoring systems for operational wind turbines. His research bridges theoretical modeling with practical engineering applications. NASA Fellow – Electrification of Aircrafts (2022) UML ME Department's Teaching Excellence Award (2020) Chancellor's recognition for Research Excellence and Productivity (2020) ASME Engineering Design Engineering Division Service Recognition Award (2019) CTI's Young Drive Experts award (2009) Professor Inalpolat has successfully advised numerous graduate students in mechanical engineering, with recent thesis topics focusing on structural health monitoring, wind turbine analysis, and dynamic systems. He leads significant research projects including a $1.4 million DOE grant for monitoring wind turbine blades and an NSF IUCRC WindStar project. His work has resulted in multiple patents related to turbomachinery design and clearance optimization. He is a core faculty member of the Structural Dynamics and Acoustic Systems Laboratory (SDASL), which he joined in 2014, significantly expanding the lab's capabilities in structural health monitoring, rotating machinery, and nonlinear dynamics. The lab is well-equipped for structural dynamic, acoustical, modal analysis, and control system experiments and modeling.

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DoSoo MoonView profile

Associate Professor

University of Hawaii at ManoaUnited States

DoSoo Moon serves as Associate Professor in the Department of Civil, Environmental and Construction Engineering at the University of Hawaii at Manoa since August 2023, following his tenure as Assistant Professor (2018-2023). His research focuses on enhancing structural resilience against multi-hazard scenarios through advanced computational and experimental methodologies. His academic credentials include: Ph.D. in Civil and Environmental Engineering, University of Illinois at Urbana-Champaign (2012) M.S. in Civil, Urban and Geosystem Engineering, Seoul National University (2006) B.S. in Civil, Urban and Geosystem Engineering, Seoul National University (2001) Moon's research spans multi-hazard resilient infrastructure design, structural health monitoring using smart sensors, risk assessment frameworks, and hybrid simulation techniques. He integrates information technology with structural control systems to develop innovative solutions for civil infrastructure challenges, emphasizing both analytical rigor and experimental validation. His publication record (2005-2018) reveals consistent contributions to structural fragility analysis, sensor fusion methodologies, and computational tool development (notably ZEUS-NL). These works demonstrate interdisciplinary convergence between civil engineering, computer vision, and control systems, particularly addressing earthquake engineering challenges through novel data fusion and simulation approaches. Professional recognition includes the 2025 Hi Chang Chai Excellence in Teaching Award, Tau Beta Pi and Phi Kappa Phi honor society memberships, and multiple scholarships from UIUC and Seoul National University. His military service earned an Army Commendation Medal (2004). Moon actively contributes to the academic community through journal reviewing (Journal of Earthquake Engineering, Earthquakes and Structures), conference organization (ICMAE 2014), and professional society engagement (ASCE/SEI, EERI, ACI, ICC). His teaching portfolio includes core structural engineering courses such as Mechanics of Materials and Earthquake Engineering. Research leadership includes the ZEUS-NL open-source project (2010-2018) and affiliations with the Smart Structures Technology Laboratory and Network for Earthquake Engineering Simulation at UIUC, focusing on advancing structural monitoring and simulation capabilities.

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