جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Physics-Informed Neural Networks
• Computational Fluid Dynamics
• +۱۲ مورد دیگر

Dr. Michael Rom is a researcher at the Institute for Geometry and Practical Mathematics (IGPM), part of the Faculty of Mathematics, Computer Science, and Natural Sciences at RWTH Aachen University, Germany. He is actively engaged in applied mathematics and computational engineering, with a strong focus on fluid dynamics, tribology, and machine learning applications in industrial processes. Research Interests: Physics-Informed Neural Networks Transpiration Cooling and Porous Media Flow Hydrodynamic Lubrication and Cavitation Modeling Reduced Basis and Homogenization Methods Grid Generation and B-Spline Surfaces Grinding Wheel and Surface Modeling His recent publications (2021–2025) show a clear trend toward integrating deep learning and data-driven methods into classical engineering problems, particularly in manufacturing, aerospace thermal protection, and tribological systems. He frequently collaborates with experts in mechanical engineering and materials science, bridging disciplines to solve complex multiphysics problems. Scientific Awards: No awards mentioned in the provided text. Dr. Rom has supervised or co-supervised several students, as evidenced by co-authored works with individuals like M. Schultz, F. Brumand-Poor, and V. König. He has also contributed to teaching at RWTH Aachen, offering courses in numerical computation and finite element methods. His research is supported by collaborations with industrial and academic partners, particularly in digital production and thermal spray technologies. Laboratories and Research Teams: Institute for Geometry and Practical Mathematics (IGPM), RWTH Aachen Collaboration with the Chair of Production Metrology and Quality Management (F. Klocke) Part of interdisciplinary projects such as Internet of Production and Monetization of Technical Data

• Probability theory and stochastic processes
• Random differential equations
• Uncertainty quantification
• +۶ مورد دیگر

Ana Navarro Quiles is an Associate Professor in the Department of Statistics and Operations Research at the Faculty of Mathematics, University of Valencia, Spain. She is a member of the PROMEDyA research group, focusing on prediction and optimization under uncertainty using dynamic stochastic models. PhD : Universitat Politècnica de València, 2018 Thesis : Computational Methods for Random Differential Equations: Theory and Applications Supervisors : Dr. Juan Carlos Cortés López, Dr. Rafael Villanueva Micó, Dr. María Dolores Roselló Ferragud Her research centers on probabilistic solutions of random differential equations, uncertainty quantification in biological and epidemiological models, and stochastic control systems. She employs advanced techniques such as the Random Variable Transformation (RVT) method and Karhunen-Loève expansion to analyze systems with random parameters. Her work bridges theoretical mathematics with real-world applications in public health, chemistry, and engineering. She has published extensively in journals like Journal of Computational and Applied Mathematics and Chaos, Solitons & Fractals . The recent publications reveal a strong trend toward modeling complex dynamical systems under full parametric uncertainty, particularly in biological growth (Gompertz, logistic) and disease spread (SIR-type models). Her methodological focus lies in deriving complete probabilistic solutions using transformation techniques and functional expansions, moving beyond mean-value approximations to capture full distributional behavior. No scientific awards are mentioned in the provided texts. Ana Navarro Quiles collaborates extensively with researchers from the Universitat Politècnica de València and other institutions. While no specific grants are listed, her sustained output suggests active funding support. She has not been explicitly mentioned as an advisor to students in the provided material, but her role in a PhD thesis as a supervisor's co-supervisee indicates strong mentoring experience. She is affiliated with the PROMEDyA research group (Prediction and Optimization under uncertainty: dynamic stochastic models and applications), which conducts interdisciplinary research on modeling uncertain dynamical systems with applications in science and engineering.

Sina Jafarzadehمشاهده پروفایل

پژوهشگر ارشد

• Additive Manufacturing
• Dielectric Elastomer Actuators
• Hollow Fiber Technology
• +۳ مورد دیگر

Sina Jafarzadeh is a Postdoctoral Researcher in the Department of Energy Conversion and Storage at the Technical University of Denmark (DTU), specializing in advanced materials and structural analysis. His work directly supports UN Sustainable Development Goals through clean energy and sustainable technology innovations. His research portfolio spans five core domains: Additive Manufacturing of functional materials including magnetic composites Dielectric Elastomer Actuators with hollow fiber geometries Metamaterial design for reprogrammable mechanical properties Magnetoresponsive systems for nanomedicine applications Computational modeling of electroactive polymer systems Recent publications (2023-2025) reveal a strategic convergence of soft robotics, advanced manufacturing, and biomaterials. Key patterns include computational-experimental validation of hollow fiber actuators, algorithmic discovery of metamaterials, and translational applications of magnetic liposomes in drug delivery. His work demonstrates consistent methodological rigor across experimental, computational, and review frameworks. As principal investigator of the completed PhD project '3D Printing of Magnetically Functional Materials' (2020-2023), he developed novel passive shimming techniques while collaborating with international teams across Europe and North America. Current research continues this trajectory through DTU's Structural Analysis and Modelling group, focusing on structural optimization of electroactive systems. His experimental work operates within DTU's advanced materials laboratories, utilizing facilities for additive manufacturing, magnetic characterization, and soft actuator prototyping. Ongoing projects emphasize field-homogenization techniques for Halbach magnets and performance enhancement of dielectric elastomer fiber systems.

Jun Wuمشاهده پروفایل

دانشیار

• Computational Design
• Digital Fabrication
• Topology Optimization
• +۷ مورد دیگر

Jun Wu is an Associate Professor in the Department of Sustainable Design Engineering at Delft University of Technology (TU Delft), Faculty of Industrial Design Engineering, where he has been a tenure-track faculty member since 2016 and was promoted to Associate Professor in August 2022. He holds two PhDs: one in Computer Science from Technische Universität München (2015) and another in Mechanical Engineering from Beihang University (2012). Prior to TU Delft, he was an HC Ørsted Postdoctoral Fellow at DTU Denmark. Research Interests: His research lies at the intersection of computational design, digital fabrication, and structural optimization. He specializes in topology optimization (generative design) for additive manufacturing, with a focus on space-time optimization, stress-constrained design, multi-material lattices, and bio-inspired infill structures. His work bridges mechanical engineering, computer graphics, and materials science to create high-performance, lightweight, and printable structures. Recent Research Trends: His most recent publications (2023–2025) demonstrate a strong trend toward integrating physical constraints—such as residual stress, thermal distortion, and manufacturability—into topology optimization frameworks. He is pioneering space-time optimization for multi-axis additive manufacturing, developing methods for stress-aligned lattices, and exploring differentiable microstructures. His interdisciplinary work spans biomedical implants, soft robotics, and educational tools for design. Scientific Awards: Frontiers of Science Award, International Congress of Basic Science (2023) 2023 ISSMO Haftka Young Investigator Award 2021 SMA Young Investigator Award Best Paper Award (2nd place), SPM 2019 ISSMO/Springer Prize (2020) Multiple ESI Highly Cited Papers Advising and Grants: He leads a vibrant research group with numerous PhD students and postdocs. In 2023, he was awarded a Vidi grant from the Dutch Research Council (NWO) for his project on Space-time optimization for additive manufacturing . He has also secured funding under the Dutch Research Agenda (NWA) for the project AM4Micro . He actively mentors PhD candidates and has co-organized the IDEA League summer school on Computational Design for Additive Manufacturing since 2020. Labs and Teams: He is affiliated with the Computational Design Lab at TU Delft and is the initiator and convener of the TOP Webinar series since 2020, fostering global collaboration in topology optimization. He serves on the editorial boards of Computer-Aided Design and Structural and Multidisciplinary Optimization , and has been a program committee member for major conferences including SPM, CGI, and CVM.

Konrad Schöbelمشاهده پروفایل

استاد

• Differential Geometry
• Algebraic Geometry
• Representation Theory
• +۵ مورد دیگر

Prof. Dr. Konrad Schöbel is a Professor of Mathematics in Information and Communication Technology at the Faculty of Digital Transformation of Leipzig University of Applied Sciences (HTWK Leipzig) . His role involves teaching courses in mathematics and simulation, while also serving as a member of the Faculty Council and Deputy Chairman of the Examination Board. He is affiliated with the Mathematical and Natural Sciences Center of HTWK. Research Interests : Simulation of physical systems Image processing Inverse problems Classification of separable and superintegrable systems Differential and algebraic geometry Scientific consulting for SMEs Recent Publications focus on superintegrable systems, conformal geometry, and algebraic methods in mathematical physics, with collaborations spanning institutions like the University of New South Wales and Universität Hamburg. His work also includes patents in computational imaging and photolithography.

Vicente Cutanda Henriquezمشاهده پروفایل

دانشیار

• Acoustics
• Numerical Methods
• Electroacoustics
• +۷ مورد دیگر

Vicente Cutanda Henriquez is an Associate Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), specializing in Acoustic Technology. His research integrates computational modeling and experimental validation in acoustics, with a strong focus on numerical methods such as the Boundary Element Method (BEM) and Finite Element Method (FEM). His research interests include acoustics, electroacoustics, microacoustics, transducer modeling, vibroacoustics, and numerical simulation techniques . He actively explores applications in hearing aid technology, underwater noise, broadband absorption, and personalized audio devices. His work often involves model order reduction, hybrid FEM-BEM approaches, and visco-thermal losses in acoustic systems. The recent publications reflect a strong trend in computational efficiency, acoustic metamaterials, and personalized hearing solutions , with increasing emphasis on real-world applications in medical devices and environmental acoustics. His work bridges theoretical acoustics with practical engineering challenges in audio and biomedical technologies. Computationally efficient Prediction of Underwater Noise from Offshore Pile Driving Broadband acoustic absorption using cylindrical rods Vibroacoustic modeling of balanced armature receivers Sound propagation in curved ear canals Reduced-order BEM with boundary layer impedance He has been involved in multiple scientific activities, including organizing the 24th International Congress on Acoustics and chairing Dansk Akustisk Selskab. Though no formal awards are listed, his leadership in national and international acoustics communities underscores his recognition. Vicente Cutanda Henriquez supervises several PhD students, including Kulakauskas, Pedersen, Bække, and Cai, and is involved in major research projects such as Efficient Numerical Modelling of Smart Hearables and Broadband Vibroacoustic Shape Optimization . His work is supported by institutional and collaborative grants, focusing on innovation in hearing technologies and sustainable acoustic solutions. He is affiliated with the Acoustic Technology group at DTU, a leading research unit in electroacoustics and numerical acoustics, contributing to both fundamental research and industrial applications in sound engineering.

Viktor Kaldoمشاهده پروفایل

استاد

• Psychiatry
• Clinical Psychology
• Cognitive Behavioral Therapy
• +۷ مورد دیگر

Viktor Kaldo is a Professor at Linnaeus University and an affiliated researcher at Karolinska Institutet. His work focuses on Internet-delivered Cognitive Behavioral Therapy (ICBT) , particularly for insomnia, depression, and anxiety . He leads the Psychological Interventions research group at Karolinska, which emphasizes innovation, improvement, and implementation of digital mental health solutions. The group has conducted numerous randomized controlled trials (RCTs) and health economic analyses to evaluate ICBT efficacy across conditions like ADHD, chronic pain, and Parkinson’s disease . Education: Docent, Karolinska Institutet (2013). His research integrates machine learning to predict treatment outcomes and optimize precision medicine in mental health. Key collaborations include the Internet Psychiatry Unit and Psykiatri Sydväst . Notable scientific achievements include the Docent title (2013) and contributions to understanding sleep disorders, digital interventions, and their clinical applications. The group’s work has expanded to traditional CBT evaluation and implementation strategies in primary care and psychiatric settings . Viktor’s publications highlight the role of data homogeneity , organizational models , and comorbid condition treatments in digital mental health. He also explores the interplay between suicidal ideation and therapy outcomes , alongside digital tools for stress and ADHD management . Scientific Awards: Docent, Karolinska Institutet (2013). Grants and Collaborations: His team has contributed to large-scale projects like the KAIROS trial and MULTI-PSYCH cohort , emphasizing implementation science and multi-modal data analysis. Collaborations span clinics, primary care centers, and international institutions, focusing on digital mental health dissemination . Labs and Teams: Leads the Psychological Interventions - Innovation, Improvement, and Implementation group at Karolinska, which works closely with the Internet Psychiatry Unit. The group’s expertise in sleep problems and ICBT has informed national and international guidelines.

Alexander Mielkeمشاهده پروفایل

استاد

• Partial Differential Equations
• Gradient Systems
• Reaction-Diffusion Systems
• +۸ مورد دیگر

Prof. Alexander Mielke is a leading mathematician affiliated with the Weierstrass Institute (WIAS) in Berlin, Germany. His work focuses on partial differential equations , gradient systems , and thermodynamic modeling with applications in material science, quantum mechanics, and multiscale systems. Institution: Weierstrass Institute (WIAS), Berlin Research Interests: Gradient flows, reaction-diffusion systems, optimal transport, variational analysis, and nonlinear mechanics Research Highlights: Mielke’s research explores the interplay between entropy decay , non-equilibrium steady states , and EDP convergence in gradient systems. His recent work includes self-similar profiles in diffusion equations and GENERIC formalism for thermodynamical models. Publications: He has authored over 50 peer-reviewed works, including studies on Hellinger–Kantorovich spaces , stochastic homogenization , and quantum-classical coupling . His articles appear in journals like Arch. Ration. Mech. Anal. , SIAM J. Math. Anal. , and J. Nonlinear Sci.

William Slofstraمشاهده پروفایل

دانشیار

• Quantum Information
• Quantum Computation
• Non-local Games
• +۱۳ مورد دیگر

William Slofstra is an Associate Professor in the Department of Pure Mathematics at the University of Waterloo and a member of the Institute for Quantum Computing. His primary academic home is within the Faculty of Mathematics at Waterloo, where he contributes to both pure mathematical research and quantum information science. Slofstra's research spans two major areas: the mathematics of quantum information and computation, and classical areas of Lie theory and algebraic combinatorics. Within quantum information, his main interests include non-local games, quantum correlation sets, self-testing and device-independence, entanglement theory, and multi-prover interactive proofs. He also investigates new mathematical tools such as decision problems in operator algebras and approximate representation theory that could advance these areas. In Lie theory and algebraic combinatorics, his research focuses on Kac-Moody groups and algebras, Schubert varieties, Coxeter groups, and hyperplane arrangements. His publication record shows a strong trajectory from more classical mathematical research toward quantum information theory, with recent work demonstrating deep connections between group theory and quantum non-locality. His most significant contributions include proving that the set of quantum correlations is not closed, establishing undecidability results for quantum correlation membership problems, and developing connections between hyperlinear profiles of groups and entanglement requirements in non-local games. Slofstra maintains an active research program with numerous collaborations, particularly with Ed Richmond in the area of Schubert varieties and with various researchers in quantum information. His work has appeared in top journals including the Journal of the American Mathematical Society, Forum of Mathematics Pi, and the Computational Complexity Conference. He is engaged in educational activities, having worked on turning his notes for PMATH 343 into a book titled 'Linear algebra and quantum probability.' He also maintains a podcast and YouTube channel, though he notes he has minimal social media presence.

Malte A. Peterمشاهده پروفایل

استاد

• Mathematical modelling
• Simulation
• Partial differential equations
• +۷ مورد دیگر

Professor Malte A. Peter is a distinguished faculty member at the University of Augsburg, holding a professorship in Applied Analysis within the Faculty of Mathematics, Natural Sciences, and Materials Engineering. He serves as Vice-director of the Centre for Advanced Analytics and Predictive Sciences and is a member of the board of directors of the AI Production Network at the University of Augsburg. His leadership extends to international collaborations as a Local representative of the Association of Applied Mathematics and Mechanics (GAMM) and as an Associate editor of Nature Scientific Reports. His research spans mathematical modeling of wave phenomena, homogenization theory, and multiscale analysis. Key areas include water wave scattering, periodic homogenisation, physico-chemical mechanisms in multiscale media (porous media, biological cells), microfluidics, and materials science. His work bridges theoretical mathematics with practical applications in engineering and physics, particularly in understanding wave propagation through complex media and developing mathematical frameworks for evolving microstructures. Peter's publication record demonstrates consistent advancement in wave scattering theory, with recent work focusing on multiple wave scattering in locally resonant materials, homogenization of evolving microstructures, and computational methods for complex material behavior. His research shows increasing interdisciplinary collaboration, particularly with physicists and engineers working on metamaterials, wave energy applications, and material characterization. The trajectory indicates growing emphasis on computational implementations of theoretical frameworks. Life membership at Clare Hall, University of Cambridge (2023) Visiting fellowship at Clare Hall, University of Cambridge (2023) Gavin Brown Best Paper Prize of the Australian Mathematical Society (2021) Bremer Studienpreis 2007 (Rotary Club Bremen–Roland Prize) (2008) Admission to the German National Academic Foundation (2001) As leader of the Modelling and Simulation workgroup, Peter directs research on mathematical approaches to complex physical phenomena. His current externally funded projects include 'Novel approaches for the multidimensional convexification of inelastic variational models for fracture' (DFG-SPP 2256) and 'Effective factorisation techniques for matrix functions' (H2020-EU.1.3.). His previous projects have addressed carbon fiber reinforced concrete, lipid membrane dynamics, and electromagnetic emissions from crack propagation. His research program maintains strong international connections, particularly with Australian institutions and the Isaac Newton Institute. Peter leads the 'Workgroup Prof. Dr. M. A. Peter - Modelling and simulation' at the University of Augsburg, which includes research associates Dr. Tanja Lochner, Dr. Sophie Thery, and Lucas Fix, along with computational mathematics specialists Dr. Loïc Balazi and Timo Neumeier. The group collaborates extensively with international partners, particularly through the Isaac Newton Institute programmes and Australian research institutions. Current projects focus on mathematical frameworks for wave scattering, homogenization of evolving microstructures, and computational methods for material failure analysis.

Seth Hopperمشاهده پروفایل

دانشیار

• General Relativity
• Gravitational Wave Astronomy
• Black Hole Physics
• +۲ مورد دیگر

Seth Hopper, Ph.D. is an Associate Professor in the Department of Physics and Astronomy at Earlham College, where he contributes to both academic instruction and gravitational wave research. He is also affiliated with the Pre-Engineering program and works in the Center for Science and Technology. Educational Background : Ph.D. in Physics from University of North Carolina, Chapel Hill; B.A. in Physics and Computer Science from Earlham College Research Focus : Dr. Hopper specializes in gravitational wave astronomy and black hole physics, particularly: Modeling gravitational radiation from black hole systems Developing computational methods for frequency domain analysis Investigating metric reconstruction techniques Exploring strong-field general relativity phenomena His work intersects physics, mathematics, and computer science, collaborating internationally to advance detection capabilities through simulations.

• Granular Flows
• Gas-Solids Flows
• Multiphase Flow
• +۵ مورد دیگر

Peter Mitrano is an Instructor in the Mechanical Engineering program under the CMU/CU Boulder partnership at Colorado Mesa University. He is affiliated with the College of Engineering and Computational Sciences, where he contributes to engineering education with a strong foundation in fluid mechanics and particulate systems. Dr. Mitrano holds a PhD in Chemical and Biological Engineering from the University of Colorado at Boulder and a BS in Chemical Engineering from the University of New Hampshire. His academic journey reflects deep engagement with theoretical and computational aspects of granular and multiphase flows. His research focuses on granular flows, gas-solids interactions, kinetic theory, and fluid mechanical instabilities. Work in these areas has led to publications in top journals like Journal of Fluid Mechanics and Physical Review E , where he investigates clustering, dissipation mechanisms, and stability in highly dissipative systems. His studies often combine analytical models with numerical simulations to probe non-equilibrium behavior in granular media. The published articles reveal a consistent focus on instability phenomena in granular gases and multiphase flows, particularly under extreme conditions such as high Knudsen numbers and strong dissipation. The work integrates principles from statistical mechanics, continuum modeling, and hydrodynamics to advance predictive capabilities in industrial and geophysical contexts. He has been recognized with the Max S. Peters Outstanding Graduate Award and delivered international invited lectures, including a keynote at Fluidization XIV in the Netherlands. Max S. Peters Outstanding Graduate Award There is no public indication of student advising, grant funding, or leadership in research labs or collaborative teams. His contributions remain centered on research publication and instructional duties within the joint engineering program.

• Chemical Physics
• Materials Science
• Organometallic Chemistry
• +۴ مورد دیگر

Klaus Ruhland is a Senior Lecturer (Privatdozent) in the Institute of Physics at the University of Augsburg, affiliated with the Faculty of Mathematics, Natural Sciences and Technology. He is a key member of the Chemical Physics and Materials Science research group led by Prof. Dr. Wolfgang Scherer, contributing to advanced research in bond activation, functional materials, and extreme condition chemistry. Research Interests: His work spans organometallic chemistry , polymer science , and materials characterization , with a focus on C–C and C–H bond activation, spectroscopic analysis of reactive intermediates, and the design of functional polymers. His research integrates experimental and theoretical approaches to understand fundamental chemical processes. Publication Trends: Over the past two decades, Klaus Ruhland has published consistently in high-impact journals such as Organometallics , Journal of Applied Polymer Science , and Angewandte Chemie . His recent work emphasizes light-induced reactions, polymer curing mechanisms, and pressure-enhanced bond activation, reflecting a multidisciplinary approach bridging inorganic and materials chemistry. Scientific Awards: No specific awards or honors are mentioned in the available text. Advising and Grants: While no formal students or grant funding are listed, his extensive publication record and collaborative projects suggest active mentorship and research leadership within the group. He has co-authored with numerous researchers, indicating strong team integration and collaborative science. Labs and Teams: He is part of the Chemical Physics and Materials Science team at the University of Augsburg, working in close collaboration with Prof. Dr. Wolfgang Scherer and PD Dr. Georg Eickerling. The team investigates binding activation, functional materials, and chemical behavior under extreme conditions, utilizing advanced spectroscopic and synthetic techniques.

Raviraj Adveمشاهده پروفایل

استاد

• Wireless Communications
• Radar Signal Processing
• Cooperative Networks
• +۷ مورد دیگر

Professor Raviraj Adve is affiliated with the University of Toronto , working in the Department of Electrical and Computer Engineering and cross-listed with the Electromagnetics Group . He holds a PhD in Electrical Engineering from Syracuse University (1996) and previously worked at Research Associates for Defense Conversion Inc. (1997–2000). Education: B.Tech, Indian Institute of Technology Bombay (1990) PhD, Syracuse University (1996) Research Interests span two main areas: Wireless Communications (heterogeneous networks, massive MIMO, cooperative communication, resource allocation) and Radar Signal Processing (waveform diversity, space-time adaptive processing, HF radar systems). His work emphasizes practical algorithm development for real-world constraints. Scientific Contributions include 15 recent articles covering cooperative networks , radar clutter modeling , low-complexity MIMO algorithms , and molecular communication . Notable awards: IEEE Fellow (2017), Young Radar Engineer of the Year (2009), and multiple teaching awards. Leadership Roles: Vice-chair of IEEE Radar Systems Panel, Associate Editor for IEEE Trans. on Aerospace and Electronic Systems , and editorial board member for IET Trans. on Radar, Sonar and Navigation .

• Synthetic Organic Chemistry
• Asymmetric Catalysis
• Stereoselective Synthesis
• +۴ مورد دیگر

Professor Patrick Guiry is a Full Professor of Synthetic Organic Chemistry at University College Dublin (UCD), where he serves as Director of the Centre for Synthesis and Chemical Biology and Head of the School of Chemistry and Chemical Biology. He has been with UCD since 1993, progressing from lecturer to Senior Lecturer (2002), Associate Professor (2003), and Full Professor (2006). Guiry also served as Chief Executive of the Conway Institute at UCD from 2004-2005. His educational background includes a B.Sc. (1986) and Ph.D. (1990) from University College Dublin, supervised by Dervilla Donnelly and Sir Derek Barton. Following his doctorate, he was a Postdoctoral Fellow with John Brown FRS at the University of Oxford (1990-1993) and served as a College lecturer at Wadham College Oxford (1992-1993) and St. Hugh's College Oxford. Professor Guiry's research focuses on synthetic organic chemistry, particularly asymmetric catalysis, stereoselective synthesis, and medicinal chemistry. His work centers on developing new chiral ligands for homogeneous metal-catalyzed transformations and applying these methods to the total synthesis of biologically interesting compounds. His group has developed a range of bidentate and tridentate ligands that have been successfully applied to asymmetric transformations including the Heck reaction, allylic substitutions, transfer hydrogenation, and rhodium-catalyzed hydroboration. A significant portion of his research involves the synthesis of lipoxin analogues with enhanced metabolic stability for potential therapeutic applications, particularly as anti-inflammatory agents. Recent publications demonstrate his group's continued innovation in asymmetric synthesis methodologies, with particular emphasis on creating challenging quaternary stereocenters through decarboxylative asymmetric allylic alkylation, developing novel chiral ligands like the UCD-Imphanol series for zinc-catalyzed cycloadditions, and advancing the synthesis of metabolically stable lipoxin analogues with demonstrated biological activity in inflammation resolution. Boyle-Higgins Medal of the Institute of Chemistry in Ireland (2014) Elected Member of the Royal Irish Academy (2013) IRC/Government of Ireland Post Doc Fellowship (2017-2020) Fellow of the Royal Society of Chemistry Fellow of the Institute of Chemistry in Ireland Professor Guiry has successfully supervised numerous graduate students and postdoctoral researchers. His group has secured substantial funding from Science Foundation Ireland, the Irish Research Council, and other sources to support research in asymmetric catalysis and medicinal chemistry. Current major projects include the BEACON Partnership with the University of Nottingham (2019-2027) focused on sustainable chemistry approaches. He leads an active research laboratory within the Centre for Synthesis and Chemical Biology at UCD, which houses state-of-the-art facilities for organic synthesis, characterization, and biological testing. The group maintains extensive collaborations with medicinal chemists, biologists, and clinicians to translate synthetic methodologies into biologically active compounds with therapeutic potential, particularly in the area of inflammation resolution and anti-microbial applications.