جست‌وجوی استاد و پژوهشگر

Kristian Amadoriمشاهده پروفایل

دانشیار مدعو

• Aeronautical Engineering
• Systems Engineering
• Multidisciplinary Optimization
• +۳ مورد دیگر

Kristian Amadori is an Adjunct Associate Professor and Docent at Linköping University's Department of Management and Engineering (IEI), affiliated with the Fluid and Mechatronic Systems (FLUMES) division. His research focuses on aeronautical systems engineering, multidisciplinary optimization, and conceptual aircraft design, with a particular emphasis on sustainable aviation and system-of-systems approaches. He collaborates extensively on projects involving unmanned aircraft systems, radar signature optimization, and technology portfolio analysis. His work bridges theoretical frameworks with practical applications in aerospace engineering, leveraging advanced modeling techniques such as multi-fidelity integration and ontology-based reasoning. Key research interests include systems integration challenges, stealth technology for UAVs, and automated design methodologies. His publications span topics from economic viability of regional aircraft to agent-based simulation for complex systems. Amadori's contributions emphasize holistic engineering approaches that address both technical and operational aspects of aeronautical product development. Recent articles highlight advancements in multidisciplinary optimization, technology prioritization frameworks, and parametric modeling for conceptual design. His work often involves collaboration across academia and industry to address challenges in aircraft design, surveillance systems, and sustainable aviation technologies. While no specific awards or grants are listed, his active publication record reflects sustained engagement with cutting-edge aerospace research.

Zhijun Wangمشاهده پروفایل

استادیار

• Multidisciplinary Design and Optimization
• Shape and Topology Optimization
• Composite Structure Modeling and Optimization
• +۷ مورد دیگر

Zhijun Wang is an Assistant Professor in Aerospace Engineering at Heriot-Watt University, United Kingdom, affiliated with the School of Engineering & Physical Sciences and the Institute of Mechanical, Process & Energy Engineering. He holds a PhD in Applied Mechanics from TU Eindhoven and was a postdoctoral researcher at TU Delft before joining Heriot-Watt in 2024. Research Interests: Multidisciplinary Design and Optimization (MDO) Shape and Topology Optimization Composite Structure Modeling and Optimization Aeroelasticity & Fluid-Structure Interaction (FSI) Finite Element Analysis (FEA) & Computational Fluid Dynamics (CFD) Sustainable and lightweight aircraft structures for electric aviation His research contributes to UN Sustainable Development Goals in sustainable energy and responsible industry. His recent work focuses on integrating manufacturing constraints into MDO frameworks and optimizing electric aircraft wings under aeroelastic loads. Publication Trends: His recent publications (2020–2025) show a consistent focus on structural optimization of aerospace systems, particularly using variable stiffness composites and MBSE frameworks. The work spans journal articles in Structural and Multidisciplinary Optimization and conference papers in AIAA forums, emphasizing practical manufacturability and sustainability. Scientific Recognition: No formal awards or fellowships are listed in the provided text. Advising and Grants: While no specific students or grants are mentioned, Dr. Wang has participated in EU and industrial research projects related to wind energy and sustainable aviation. His role in collaborative projects (e.g., AGILE 4.0) suggests experience in large-scale, interdisciplinary research initiatives. Laboratories and Research Teams: He is affiliated with the Institute of Mechanical, Process & Energy Engineering at Heriot-Watt University, which likely hosts advanced simulation and structural testing facilities. His collaborations with TU Delft and involvement in EU projects indicate integration into broader European aerospace research networks.

Pascal Etmanمشاهده پروفایل

دانشیار

• System Design
• Optimization
• Mechanical Engineering
• +۷ مورد دیگر

L.F.P. (Pascal) Etman is an Associate Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), specializing in system design and optimization within the Control Systems Technology group. He has developed advanced methods such as the Augmented Lagrangian Coordination (ALC) method for distributed optimization and Effective Process Time (EPT) modeling for manufacturing systems, with applications spanning infrastructure, mechatronics, and additive manufacturing. His academic background includes MSc and PhD degrees in Engineering Mechanics from TU/e in 1992 and 1997, respectively. After his PhD, he joined TU/e's Systems Engineering group before transitioning to Control Systems Technology in 2015. Pascal has held visiting positions at institutions including Philips Semiconductors (1998), the University of Michigan (2001), and universities in South Africa (2005–2006). Research interests focus on Model-based design of complex systems Design structure matrix modeling for system analysis Optimization algorithms for engineering systems Aggregate modeling of discrete manufacturing processes Integration of requirements engineering and systems architecting His work aligns with UN Sustainable Development Goals through collaborations with semi-industry partners like Rijkswaterstaat, TNO, and NXP. He teaches graduate courses on Engineering optimization with numerical methods Design structure matrix modeling for integrated systems and supervises bachelor's design projects. Pascal has advised six PhD students and co-supervises five ongoing PhD projects, while guiding over 40 master’s theses.

Ramana Grandhiمشاهده پروفایل

استاد

• Multidisciplinary Design Optimization
• Aerospace Structures
• Risk-Based Design
• +۷ مورد دیگر

Dr. Ramana Grandhi is a Professor of Aerospace Engineering at the Air Force Institute of Technology (AFIT), Wright-Patterson Air Force Base, Ohio. Previously, he was a Distinguished Professor at Wright State University, where he led the Engineering Ph.D. program for 15 years and served as Executive Director of International Collaborations and Graduate Programs. His work bridges academia and defense research through partnerships with the U.S. Air Force, NASA, DARPA, Boeing, Lockheed Martin, and others. Ph.D., Engineering Mechanics, Virginia Tech (1984) M.S., Mechanical Engineering, Indian Institute of Technology, Kanpur (1980) B.S., Mechanical Engineering, National Institute of Technology, Warangal (1978) Dr. Grandhi’s research centers on multidisciplinary design optimization (MDO) , aircraft and space structures , risk-based design , and advanced manufacturing , particularly additive manufacturing and laser peening. His work integrates computational mechanics, uncertainty quantification, and high-fidelity modeling to enhance structural reliability and performance. He has pioneered methods in topology optimization, fatigue life prediction, and multi-fidelity modeling. The recent publications highlight a strong trend in uncertainty-aware structural design , additive manufacturing validation , multi-scale modeling , and non-destructive evaluation . His team develops physics-based and data-informed models to optimize aerospace components under real-world variability and manufacturing constraints. Key themes include Bayesian uncertainty quantification, hybrid optimization frameworks, and experimental validation of computational models. Dr. Grandhi has received numerous prestigious honors, including: AIAA Fellow and ASME Fellow AIAA MDO Award (biennial) Solberg Award (American Society of Naval Engineers) Mahatma Gandhi Pravasi Samman Award University Professor Title (Wright State University) Distinguished Professor Title (Wright State) Multiple Best Paper Awards from AIAA Throughout his career, Dr. Grandhi has advised 25 PhD students , 50 MS theses , and 30 postdoctoral fellows , demonstrating a strong commitment to education and mentorship. His research has been funded by agencies such as the National Science Foundation (NSF) , DARPA , NASA , and the U.S. Department of Defense , with industry partnerships from GE , Pratt & Whitney , Caterpillar , and General Motors . He has led large-scale collaborative projects focusing on structural integrity and advanced manufacturing. Dr. Grandhi leads a multidisciplinary research group at AFIT focused on computational design and structural optimization. His lab collaborates with the U.S. Air Force Research Laboratory (AFRL) and leverages high-performance computing for large-scale simulations. The team works on next-generation aerospace systems, including deployable space structures, thermally loaded components, and fatigue-critical aircraft parts.

• Multidisciplinary Design Optimization
• Computational and Experimental Mechanics
• Fluid-Structure Interaction
• +۷ مورد دیگر

Afzal Suleman is a Professor of Mechanical Engineering at the University of Victoria. His research focuses on multidisciplinary design optimization, computational/experimental mechanics, and aerospace structures. He holds a BSc (Honours), MS from Imperial College, and a PhD from UBC, with professional engineer (P.Eng) certification. Education: BSc (Honours) MS (Imperial College) PhD (UBC) Research interests include active aeroelastic structures, morphing wing design for UAVs, fluid-structure interaction, topology optimization, and hybrid-electric propulsion systems. His work emphasizes smart materials, nonlinear aeroelasticity, and sustainable aviation solutions. Notable projects include developing a multidisciplinary design optimization (MDO) tool for morphing wings and pioneering studies on pH-responsive polymers. His articles span aeroelastic control strategies, topology optimization methodologies, and UAV propulsion systems. He collaborates with the University of Victoria's Centre for Aerospace Research (CfAR), advancing technologies like CubeSats and unmanned systems for commercial and defense applications. Academic contributions include flight-tested aircraft prototypes for active control strategies and innovations in SPH boundary treatments for fluid-structure interaction simulations. His research bridges theory and practice, addressing challenges in aerospace efficiency and sustainability.

• Aerospace Vehicle Design
• Multidisciplinary Design Optimization (MDO)
• Space Systems Engineering
• +۵ مورد دیگر

Prof. Qasim Zeeshan is a Professor in the Department of Mechanical Engineering at Eastern Mediterranean University, Faculty of Engineering. He holds a B.E. from NUST (Pakistan), and MS/PhD degrees in Flight Vehicle Design from Beihang University (China). With over 15 years of post-PhD experience in research and teaching, he specializes in Aerospace Vehicle Design, Multidisciplinary Design Optimization (MDO), Space Systems Engineering, and Industry 4.0. His teaching spans undergraduate and graduate courses in mechanical/aerospace engineering, including Space Systems Engineering, Manufacturing Systems, and Reliability Engineering. He is affiliated with research centers such as the Energy Research Center and Electric Vehicle Development Center. His research integrates machine learning, metaheuristic optimization, and composite materials analysis, with a focus on aerospace systems and smart manufacturing. He actively supervises graduate theses and serves as an associate editor and reviewer in academic journals. His recent work explores vibration analysis of composite structures, additive manufacturing advancements, and cloud-based manufacturing systems. He has contributed to over 50 peer-reviewed articles, emphasizing computational modeling, material characterization, and optimization algorithms. His expertise spans both theoretical and applied engineering, bridging mechanical systems, aerospace technologies, and Industry 4.0 innovations.

Marcelo H. Kobayashiمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Fluid Mechanics
• Multidisciplinary Design Optimization

Marcelo H. Kobayashi is a Professor in the Department of Mechanical Engineering at the University of Hawaii at Manoa . He holds dual PhDs in Mechanical Engineering (1994) and Mathematics (2003) from the Technical University of Lisbon/IST, Portugal. His research spans Computational Fluid Dynamics (CFD) , Fluid Mechanics , and Multidisciplinary Design Optimization (MDO) , integrating advanced numerical methods and genetic algorithms to solve complex engineering problems in aerospace, biomechanics, and defense applications. CFD: Stream function methods, finite volume schemes for Navier-Stokes equations, and Padé approximations. Fluid Mechanics: Stokes flows, particle dynamics in rotating systems, and acoustic wave propagation in shear layers. MDO: Hybrid genetic programming for metamaterials, cellular division optimization for control surfaces, and bio-inspired designs for micro aerial vehicles. His recent publications reflect the application of evolutionary algorithms , topological optimization , and aeroelastic modeling to challenges in air vehicle design , thermal management , and biological systems . He has led projects funded by AFOSR , NSF , and US Army , including grants for tsunami debris impact analysis and nanosat thermal control systems. As Director of the Hawaii Open Supercomputing Center , he contributes to computational research infrastructure. His teaching includes graduate courses in Computational Fluid Dynamics , Numerical Methods , and Advanced Aerodynamics .

• CFD
• Aeroelasticity
• Model Order Reduction
• +۱ مورد دیگر

Weigang Yao serves as an Associate Professor in the School of Engineering and Sustainable Development at De Montfort University, Leicester, specializing in aerospace engineering research and education within the Nonlinear Flight Dynamics Research Group under the Institute for Sustainable Futures / Digital Futures Institute. His academic credentials include a PhD in Aircraft Design and an MA in Education with distinction, demonstrating dual expertise in engineering and pedagogy. Dr. Yao's research concentrates on computational fluid dynamics (CFD) for simulating complex aerodynamic phenomena, structural aeroelasticity analysis for aircraft stability, model order reduction techniques to optimize computational efficiency, and multidisciplinary design optimization (MDO) frameworks for integrated aerospace systems development. His work bridges theoretical fluid-structure interaction challenges with practical sustainable aviation applications. Key professional recognitions include: DMU Education Academy Fellow Senior Fellow of Higher Education Academy He maintains active professional engagement as a Senior Member of the American Institute of Aeronautics and Astronautics (AIAA) and Member of the Royal Aeronautical Society, contributing to aerospace knowledge dissemination. Dr. Yao teaches core aerospace courses including Fundamentals of Aerodynamics, Mechanics of Flight, Structural Dynamics and Aeroelasticity, and UAV Design, while leading research initiatives through the Nonlinear Flight Dynamics Research Group.