جست‌وجوی استاد و پژوهشگر

Angelo Cervoneمشاهده پروفایل

استاد

• Astrodynamics
• Space Propulsion Systems
• CubeSat Technology
• +۳ مورد دیگر

Angelo Cervone is a Professor at Delft University of Technology's Department of Astrodynamics & Space Missions within the Faculty of Aerospace Engineering. His research focuses on advanced propulsion systems, CubeSat technology, additive manufacturing for space applications, and space systems design. He leads projects like LUMIO, a CubeSat mission to monitor lunar meteoroid impacts, and has contributed to the development of green propellants and smart composite structures with embedded sensors. His work integrates cutting-edge manufacturing techniques like laser powder directed energy deposition with propulsion system optimization, emphasizing sustainable and robust space technologies. Cervone has authored over 130 publications and edited the book Adaptive On- and Off-Earth Environments , reflecting his expertise in off-world infrastructure and robotic production systems. He received the Rhizome Award (2021) for advancing autarkic systems in off-Earth habitat development. Key Projects: LUMIO CubeSat mission, Rhizome habitat system development, smart propellant tank design Research Themes: CubeSat propulsion, lunar exploration, additive manufacturing for space, in-situ resource utilization His articles highlight advancements in micro-thrusters, structural health monitoring via fiber optics, and autonomous navigation systems for deep-space CubeSats. Cervone collaborates globally on missions requiring innovative propulsion architectures and materials science breakthroughs.

Qing Xiaoمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Biomimetics
• Marine Renewable Energy
• +۳ مورد دیگر

Professor Qing Xiao is a faculty member in the Department of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde . With over 25 years of expertise in Computational Fluid Dynamics (CFD) , they focus on bio-inspired fluid dynamics and marine renewable energy systems. Their research includes modeling flapping-wing aerodynamics, tidal turbines, and floating wind turbines with coupled aero-hydrodynamic simulations. Research Themes: Bio-inspired robotics, offshore renewable energy, fluid-structure interaction, vortex-induced vibrations. Collaborations: EPSRC-funded projects, Supergen ORE Hub partnerships, and industrial alliances. Recent Work: AI-driven surrogate models for floating offshore wind turbines, hyperelastic material applications in wave energy converters, and digital twin frameworks for structural health monitoring. Scientific Recognition: OMAE Subrata Chakrabarti Young Professional Award (2017) Strathclyde Teaching Excellence Award (2013) Students & Supervision: Advising PhD candidates like Kobe Hoi Yin Yung and Hoi Yin Yung, with graduates Xiang Li and Yang Luo contributing to bio-inspired robotics and CFD-FSI studies. Labs & Teams: Leads an interdisciplinary CFD-FSI research group at Strathclyde, fostering academic-industrial cooperation and hosting visiting researchers.

• Coastal Engineering
• Numerical Modeling
• Nature-Based Solutions
• +۴ مورد دیگر

Tomohiro Suzuki is an Associate Professor at KU Leuven and Ghent University (UGent) , affiliated with the Department of Civil Engineering under the Faculty of Engineering Science (KU Leuven) and Faculty of Engineering and Architecture (UGent) . With 25 years of expertise in coastal engineering, he specializes in wave overtopping , wave-structure interactions , and Nature-Based Solutions for coastal management. Key research areas: Numerical Modeling (DualSPHysics, SWASH), Wave-Current-Vegetation Interaction , Coastal Flood Resilience Teaching roles: Project Hydraulic Engineering 3 , Hydraulic Structures , Hydrodynamics His recent projects include: INTEGRATOR (2024–2026): Integrated coastal hydrodynamics modeling Numerical Coastal Basin (2021–2025): Virtual testing for floating structures Wind Generation System (2025–2028): Fan Array Wind Tunnel for Coastal & Ocean Basin Publications focus on 3D wave-vegetation dynamics , SPH-based coastal simulations , and shallow foreshore resilience against extreme waves. No scientific awards are explicitly mentioned.

• Wave Energy Conversion
• System Identification
• Optimal Control
• +۶ مورد دیگر

Mauro Bonfanti is a Fixed-term Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino, Italy. His academic work focuses on wave energy conversion systems, mechatronics, and applied mechanics within the field of industrial and information engineering. Dr. Bonfanti's primary research interests include wave energy conversion systems, system identification, optimal control, mechatronics, and renewable energy systems. His work centers on developing advanced control strategies for wave energy converters, with particular emphasis on improving energy extraction efficiency through innovative mechanical designs and control algorithms. He has made significant contributions to the understanding of wave-structure interactions, hydrodynamic modeling of floating bodies, and optimization of wave energy converter systems under various sea conditions. His research bridges theoretical modeling with practical implementation, often involving high-fidelity numerical simulations validated through experimental testing. His publication record demonstrates a strong focus on advancing wave energy conversion technology, with particular emphasis on control systems, hydrodynamic modeling, and optimization techniques. The research shows progression from fundamental modeling approaches to increasingly sophisticated control strategies and system integration. Recent work has expanded to include hybrid renewable energy systems that combine wave and wind energy technologies. Dr. Bonfanti serves as a Scientific Responsible for several research projects including OCEANGLIDE, AQUALEV, and WISE, which focus on innovative wave energy conversion technologies. He holds multiple patents related to wave energy conversion systems, including the WISE (Water-air Injectable Swath Elevator) and AQUALEV magnetic support systems. He actively supervises PhD students including Alessandro Brusasco, Matteo Mastorakis, Francesco Balestrieri, and Domenico Edoardo Sfasciamuro, guiding research in sustainable materials, mechanical engineering, and wave energy conversion systems. His teaching responsibilities include courses on System Identification and Optimal Control of Wave Energy Conversion Systems, as well as Mechatronics across multiple academic years. Dr. Bonfanti is a member of the Mechatronics and Servosystems research group at DIMEAS, where he collaborates on projects related to marine renewable energy systems and advanced control technologies.

Herbert Steinrückمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Fluid Mechanics
• Heat Transfer
• +۷ مورد دیگر

Herbert Steinrück is an Associate Professor at Vienna University of Technology (TU Wien) since 1997, with multiple affiliations across the university's engineering departments. His primary appointments include the Institute of Fluid Mechanics and Heat Transfer (E307), Institute for Analysis and Scientific Computing (E322), and Institute of Engineering Design and Product Development (E101). He leads research in the Computational Fluid Mechanics research area (E322-02). Steinrück completed his Dipl.-Ing. in Mathematics at TU Wien in 1983, followed by his Dr. techn. degree between 1983-1985. He served as a Research Assistant from 1983-1989 at the Institute of Fluid Mechanics and Heat Transfer, then worked as a University Assistant from 1992-1997 before achieving Habilitation in 1991. His international experience includes a Visiting Scientist position at IBM Thomas Watson Research Center in 1989-1990. His research focuses on Computational Fluid Dynamics, Wave Dynamics, and Combustion Engineering . Steinrück's work spans rotary and gravity waves in cylindrical containers, flame propagation in confined spaces, dust explosions, and flow-induced vibrations. His approach combines experimental validation with asymptotic analysis and numerical simulation, particularly examining stability characteristics and excitation mechanisms in complex fluid systems. Recent work shows increasing focus on multiphysics problems involving fluid-structure interaction. Analysis of his 15 most recent publications reveals consistent work in wave dynamics (particularly rotary waves in cylindrical containers), with expanding applications to combustion phenomena and structural interactions. His research demonstrates strong continuity in fundamental fluid mechanics while adapting to address practical engineering challenges in compressor design, explosion safety, and aeroelasticity. Steinrück has mentored numerous graduate students through thesis supervision, with documented advisees working on topics including hydroelastic gear lubrication, circulating condensate films, dental air turbines, and flow-induced vibrations in U-beams. His collaborative work extends to conference organization, including editing proceedings for the EFRC Conference series.

Adi Kurniawanمشاهده پروفایل

پژوهشگر ارشد

• Wave Energy Conversion
• Wave-Structure Interactions
• Multi-Objective Optimization
• +۳ مورد دیگر

Adi Kurniawan is a Research Fellow at the University of Western Australia (UWA) in the School of Earth and Oceans, affiliated with the Marine Energy Research Australia (MERA) and the Great Southern Marine Research Facility (GSMRF). His research focuses on wave energy conversion, wave-structure interactions, and multi-objective optimization. He holds a PhD in Marine Technology from NTNU and has held roles at Aalborg University and the University of Plymouth. Kurniawan co-authored Ocean Waves and Oscillating Systems and contributes to industry standards (Standards Australia Committee EL-066) and journal editing (Journal of Offshore Mechanics and Arctic Engineering). Research Interests: Wave energy converter (WEC) design and optimization Nonlinear wave dynamics and numerical modeling Multi-objective optimization of wave farms Parametric resonance mitigation in WECs Teaching: Previously taught OCEN4007 Renewable Ocean Energy. Active in the Oceans Graduate School, covering oceanography, hydrodynamics, and marine geoscience. Collaborations: Works with industry on sponsored projects, including wave energy device modeling and power prediction. Part of the UN SDGs contributing to sustainable energy solutions (SDG 7, 13, 14). Grants: Lead investigator on projects like 'Advancing ocean renewable energy systems through physics and machine learning' and 'WaveX Albany', totaling over $2M in funding. Projects emphasize scalability, cost reduction, and environmental impact assessments. Labs/Teams: Based at the GSMRF in Albany, collaborating with international partners on WEC testing and deployment strategies.

• Industrial Design
• Materials Science
• Manufacturing Technology
• +۲ مورد دیگر

Teppo Vienamo is a Lecturer in the Department of Design, specializing in industrial design, materials, and prototyping. He teaches in the Aaltonaut minor program at Design Factory, focusing on multidisciplinary product development. His research emphasizes sustainable manufacturing technologies and innovative material applications. Recent work includes studies on rotational molding techniques for battery enclosures, circular economy solutions for plastics, and structural design of industrial components. Research interests span product development, materials science, and manufacturing processes with a focus on environmental sustainability and industrial applications. Key projects involve collaborations on battery covers, food industry pallets, and safety-critical components like reactors and pressure vessels. Publications highlight advancements in material innovation, aerodynamic design, and structural integrity across automotive, energy, and food sectors. Active involvement in Design Factory underscores his commitment to bridging academic research with industry-relevant solutions.

Giancarlo Crocettiمشاهده پروفایل

استادیار

• Data Science
• Distributed Analytics
• Web Data Mining
• +۲ مورد دیگر

Giancarlo Crocetti is an Assistant Professor in the Department of Computer Science, Mathematics and Science at the Collins College of Professional Studies, St. John's University. His teaching focuses on data science, distributed analytics, and web data mining. He holds a Doctor of Professional Studies (D.P.S.) in Applied Computing from Pace University, along with Master's degrees in Data Mining (Central Connecticut State University) and Computer Science (La Sapienza University, Rome). Education: D.P.S., Applied Computing, Pace University M.S., Data Mining, Central Connecticut State University M.S., Computer Science, La Sapienza University - Rome His research interests span cognitive science and semantic representation of knowledge. Crocetti actively contributes to cutting-edge fields like telemedicine analytics, biomarker development for Parkinson's disease, and ensemble models in histological examination. His work bridges computer science with healthcare applications through innovative data mining techniques. Notable research includes developing algorithms for social conversation analysis in NSCLC patients and creating a think tank simulator for virtual expert consultations. His publications demonstrate expertise in both foundational computer science and applied biomedical informatics.

Jill Urbanicمشاهده پروفایل

استاد

• Additive Manufacturing
• Robotics and Automation
• Ergonomics and Biomechanics
• +۴ مورد دیگر

Professor Jill Urbanic is a faculty member in the Department of Mechanical Engineering at the University of Windsor’s Faculty of Engineering. Her research focuses on additive manufacturing, robotics, ergonomics, and sustainable design. She has coordinated capstone projects and advised numerous students, including those involved in innovations like 3D-printed medical devices, sustainable material handling solutions, and ergonomic studies in agriculture. She received notable awards such as the Wighton Fellowship (2013) for innovative teaching and Tech Researcher of the Year (2021). Her work integrates advanced manufacturing techniques with real-world applications, including collaborations with local industries and responses to crises like the COVID-19 pandemic. She has led projects on residual stress analysis in additive manufacturing, robotic automation for textiles, and musculoskeletal risk mitigation in manual labor. Prof. Urbanic also co-founded CAMufacturing Solutions, emphasizing practical industry-academia partnerships. Her teaching emphasizes hands-on laboratory experiences, such as robotic arm design, CAD/CAM applications, and material prototyping. She has organized interdisciplinary events like the WE-Spark think tank and contributed to open house initiatives to engage prospective students. Collaborations with peers like Dr. Duncan Lam highlight her cross-disciplinary creativity, blending engineering with art and storytelling.

• Computational Mechanics
• Numerical Simulation
• Shape Optimization
• +۱۲ مورد دیگر

Stefanie Elgeti is Associate Professor and Private Lecturer at the Chair for Computational Analysis of Technical Systems (CATS), Faculty of Mechanical Engineering, RWTH Aachen University. She previously held a professorship in lightweight design at TU Vienna starting in 2019. Her research integrates computational mechanics with manufacturing process optimization, focusing on plastics extrusion, injection molding, and high-pressure die casting. Diploma in Mechanical Engineering, majoring in 'Manufacturing Techniques for Microsystems' PhD (2011): 'Free-Surface Flows in Shape Optimization of Extrusion Dies' Habilitation (2016): 'CAD-Conforming Finite Element Methods in Engineering Design' Her research centers on solving inverse problems in manufacturing through numerical simulation. She employs advanced techniques such as free-surface flow modeling, non-Newtonian material models, spline-based finite elements, and PDE-constrained shape optimization. Her group simulates entire process chains from filling to solidification and warpage prediction, enabling design optimization of cavities and cooling systems. The recent publications (2022–2024) reveal a strong trend toward integrating artificial intelligence—particularly physics-informed neural networks and Bayesian optimization—into traditional simulation workflows. There is increasing emphasis on warpage compensation, shape optimization of extrusion dies, and modeling of biomedical and environmental systems, showcasing a broadening scope from industrial manufacturing to interdisciplinary applications. She is actively involved in academic service, having served as vice-spokesperson of GAMM-Juniors (2013–2014) and currently co-chairing the ECCOMAS Young Investigator Group. While no formal awards are listed, her leadership roles and editorial contributions reflect significant recognition in the computational mechanics community. Prof. Elgeti advises students and leads multiple research initiatives at CATS, including work groups focused on production engineering, fluid-structure interaction, and INTERESST. Her team develops model hierarchies and digital twins for industrial processes, aiming to bridge simulation and real-world manufacturing through intelligent, adaptive systems.

• Chemical Process Control
• Biodiesel Production
• Distillation Modeling
• +۴ مورد دیگر

Adel Mhamdi is a Professor at RWTH Aachen University's Department of Chemical Engineering within the Faculty of Mechanical Engineering. His research focuses on process systems engineering with emphasis on nonlinear model predictive control, hybrid modeling, and sustainable process design for chemical and biochemical systems. He leads research in electrified biodiesel production, distillation optimization, and polymerization process control. His research interests span chemical process control, biodiesel production optimization, distillation modeling, hybrid mechanistic-data-driven approaches, polymerization processes, and heat transfer optimization. Mhamdi develops advanced control strategies including economic NMPC, distributed control architectures, and chance-constrained optimization to address challenges in flexible operation of energy-intensive processes. His work integrates computational fluid dynamics with process modeling for reactor design and optimization. Analysis of his recent publications reveals strong trends in electrification of chemical processes, particularly biodiesel production with heat integration. His research increasingly incorporates machine learning for hybrid modeling and employs advanced computational techniques like Bayesian optimization for reactor geometry design. Key application areas include renewable energy systems, polymer manufacturing, and separation processes. Mhamdi actively supervises doctoral researchers including M. El Wajeh, J.M. Faust, and P.J. Joy who appear as first authors on multiple publications. His research group collaborates extensively with the Mitsos group at RWTH Aachen, securing publications in top journals including Industrial & Engineering Chemistry Research and Computers & Chemical Engineering . Current projects focus on real-time optimization of electrified processes and development of open-source modeling platforms like HybridML.

• Experimental Fluid Mechanics
• Low-Gravity Fluid Dynamics
• Capillary Fluid Physics
• +۶ مورد دیگر

Steven Collicott is a Professor in the School of Aeronautics and Astronautics at Purdue University. He holds a B.S. from the University of Michigan (1983), and M.S. and Ph.D. from Stanford University (1984, 1991). His research focuses on experimental fluid mechanics, low-gravity fluid dynamics, and capillary physics, with applications in space propulsion systems and microgravity environments. Collicott has led projects such as the Capillary Fluids Experiment on the International Space Station and pioneered the use of the Surface Evolver code for capillary fluid analysis. Education: B.S., University of Michigan, Aerospace Engineering, 1983 (magna cum laude) M.S., Stanford University, Aeronautics & Astronautics, 1984 Ph.D., Stanford University, Aeronautics & Astronautics, 1991 His research explores capillary-driven fluid behavior in space and terrestrial systems, including propellant management in spacecraft, spray dynamics, and cavitation in high-pressure systems. Collaborations include studies with Rolls-Royce and Purdue’s Civil Engineering School on aeroelastic failures of lighting towers. Collicott has also contributed to sub-orbital research platforms and educational initiatives. His awards include induction into Purdue’s Book of Great Teachers (2008) and the AIAA Special Service Citation (1997). Key projects span fluid interface stability in microgravity, propellant positioning in tanks, and optical diagnostics for flow visualization. He has developed technologies like cryogenic propellant gauging systems and fluidic spray control orifices. Advising & Grants: Advised on capillary fluid experiments and turbine engine projects. Collaborative grants include work with NASA and industry partners on propulsion and fluid dynamics. Labs/Teams: Leads Purdue’s Drop Tower experiments and collaborates with teams at NASA, Blue Origin, and commercial spaceflight entities.

Wei Baiمشاهده پروفایل

دانشیار

• Computational Hydrodynamics
• Wave-Structure Interactions
• Offshore Engineering
• +۳ مورد دیگر

Dr. Wei Bai is a Reader in Mathematics at Manchester Metropolitan University's Department of Computing and Mathematics, specializing in computational marine hydrodynamics. He holds a Ph.D. in Port, Coastal and Offshore Engineering from Dalian University of Technology. Research focuses on: Numerical modeling of wave-structure interactions Offshore renewable energy systems Sloshing dynamics and hydrodynamic stability Computational fluid dynamics development His extensive publication record demonstrates consistent innovation in numerical methods for marine applications, with recent emphasis on moonpool hydrodynamics, floating wind turbines, and advanced CFD techniques. Research integrates theoretical modeling with practical offshore engineering challenges. Dr. Bai serves on editorial boards for Applied Ocean Research, Ocean Engineering, and Journal of Marine Science and Application. He has supervised multiple doctoral students in marine hydrodynamics and offshore engineering.

Ursula Eickerمشاهده پروفایل

استاد

• Urban energy systems
• 3D City modeling
• Urban data and simulation platform development
• +۷ مورد دیگر

Prof. Ursula Eicker is the Canada Excellence Research Chair in Smart, Sustainable and Resilient Cities and Communities at Concordia University , leading cutting-edge research in urban energy systems. Her work integrates 3D city modeling, renewable energy systems, and sustainable transport to develop zero-carbon city strategies. PhD in Solid State Physics (Heriot-Watt University) Habilitation in Renewable Energy Systems (Technische Universitat Berlin) Research Interests focus on urban simulation platforms, district energy networks, and climate-resilient infrastructure. The INSEL4Cities platform enables holistic urban modeling for building demands, transportation, and greenery. Her Residential Densification studies demonstrate 65% energy reduction through retrofits and solar integration. Recent publications explore urban solar shading , transactive energy systems , green infrastructure equity , and decentralized hydrogen production . Awards include the German-African Innovation Incentive and recognition for photovoltaic research in Egypt. Over 50 graduate students in her lab examine zero-carbon pathways. Teaches ENCS 691 on urban energy systems. Secured 10M CAD for the CERC chair and multiple grants. Co-Director of Concordia's Next Generation Cities Institute .

Fabrizio Cesare Filippo Di Pasqualeمشاهده پروفایل

استاد

• optical fiber sensors
• silicon photonics
• optical amplifiers
• +۳ مورد دیگر

Fabrizio Cesare Filippo Di Pasquale is a Full Professor of Telecommunications and Director of the Institute of Mechanical Intelligence at Sant'Anna School of Advanced Studies in Pisa, Italy. With a career spanning academia and industry, he holds electronic engineering and information technology doctorates from Italian universities and has held research positions at University College London, Pirelli, and Cisco before joining Sant'Anna. His educational background includes: Electronic Engineering degree, University of Bologna (1989) Ph.D. in Information Technology, University of Parma (1993) Professor Di Pasquale's research focuses on optical fiber sensors, silicon photonics, and optical communication systems, with significant applications in structural health monitoring for aerospace, transportation, and composite materials. His work bridges fundamental photonics with industrial deployment through numerous patents and commercial applications. Recent projects include the SmartRail initiative for railway infrastructure monitoring and embedded sensor systems for spacecraft propellant tanks. Analysis of his 2023-2024 publications reveals a concentrated research trajectory toward miniaturized photonic sensors, radiation-hardened silicon devices, and embedded optical sensing in composite structures. Key trends include silicon photonics for aerospace applications, micro-interferometer-based interrogation systems, and distributed sensing for infrastructure monitoring, demonstrating consistent innovation in translating laboratory research to field-deployable solutions. With 25 patents filed and over 250 scientific publications, Professor Di Pasquale has established significant intellectual property in optical sensing technologies. His co-founding of Infibra Technologies S.r.l. demonstrates successful technology transfer, while his leadership of the Institute of Mechanical Intelligence drives cross-disciplinary research in intelligent mechanical systems and advanced sensing solutions for critical infrastructure. He directs the Institute of Mechanical Intelligence where his team develops next-generation optical sensing platforms, including the SmartRail project for continuous railway monitoring and embedded sensor systems for composite structures in aerospace applications. Current research emphasizes real-time structural health monitoring through embedded fiber optic networks and silicon photonic integrated circuits for harsh environments.