جست‌وجوی استاد و پژوهشگر

Lily Qiaoمشاهده پروفایل

مدرس ارشد

• Space Systems Engineering
• Autonomous Spacecraft Navigation
• GNSS and Celestial Navigation
• +۵ مورد دیگر

Lily Qiao is a Senior Lecturer in Space Systems Engineering at the School of Engineering and Technology , University of New South Wales (UNSW) Canberra . She holds a PhD in Guidance, Navigation, and Control (GNC) from Nanjing University of Aeronautics and Astronautics (2011) and has been affiliated with UNSW since 2011, progressing from Research Associate to her current role. Her teaching includes postgraduate courses on Space Systems Design (ZEIT8008) and Global Navigation Satellite Systems (GNSS) (ZEIT8009), and undergraduate Radar Technology and Application (ZEIT4227). PhD in Guidance, Navigation, and Control (NUAA, 2011) Study exchange at UNSW Sydney Certificate of Completion with Merit (Graduate Teaching Training Program, UNSW Canberra, 2015) Foundations of University Learning and Teaching (FULT) Program (2019) National Mental Health First Aid Certificate (2019–2021) UNSW Course Design Institute (2023) Her research focuses on space systems engineering and the application of AI/CI-based methods to aerospace challenges, including autonomous spacecraft navigation (GNSS, celestial navigation), spacecraft attitude determination and control , Kalman filter technology , and cybersecurity for space systems . She has published over 50 peer-reviewed works and supervised six PhD students. Her recent publications highlight trends in cybersecurity for space systems, GNSS reflectometry for Earth observation, and modular design analysis for CubeSats. Notable awards include the UNSW Career Advancement Fund for Female Academics (2018–2020) and IEEE Senior Membership (2024) . Associate Editor, IEEE Transactions on Aerospace and Electronic Systems Chair, IEEE Australian Capital Territory (ACT) Section (2024) Founder and Chair, AESS Chapter in IEEE ACT Section (2022–2024) President, Women in Space Chapter (WiSC) , National Space Society of Australia Executive Committee, IEEE ACT Section (2020–2023) UNSW Canberra Representative, Women in Research Network (since 2021) She offers $35,000 AUD scholarships for PhD candidates with H1/High Distinction in undergraduate or Master’s programs. Current research supervision topics include AI Test and Evaluation , Real-Time Cybersecurity Platforms , and Dynamic Modular System Architectures .

Maximilian Ammمشاهده پروفایل

پژوهشگر

• Robotics
• Systems Engineering
• Lightweight Structures
• +۱ مورد دیگر

Maximilian Amm serves as a Researcher at the Chair of Product Development and Lightweight Design, Technical University of Munich (TUM), under Prof. Markus Zimmermann's leadership. He actively contributes to the Robot Systems research group and delivers instruction as an assistant lecturer for core courses including Cost Management in Product Development and Think.Make.Start., demonstrating integration of academic research with pedagogical practice. His research program centers on Robotics, Systems Engineering, Lightweight Structures, and Product Development, with specific focus on computational methodologies for affordable robotic systems and model-based approaches to dynamic behavior in robot-like systems. This work bridges theoretical frameworks with industrial applicability through rigorous engineering design principles. Analysis of his 2023 publications reveals a strategic emphasis on democratizing robotics through cost-effective lightweight solutions while advancing systems engineering practices for time-dependent behaviors. His research trajectory indicates strong alignment with industry needs for adaptable, efficient robot design processes. Regarding academic mentorship, Amm currently has no listed graduate advisees. Project involvement includes key initiatives like KREATIVE, BUENA, and TuWAs within the Robot Systems group, which develops cutting-edge methodologies for robotic system design and implementation.

• Marine Technology
• Arctic Technology
• Risk Analysis
• +۳ مورد دیگر

Janne P Lahtinen is a researcher affiliated with the Department of Energy and Mechanical Engineering at Aalto University's College of Engineering. His work focuses on marine technology, arctic technology, and safety systems engineering. Marine Technology Arctic Technology Risk Analysis MBSE (Model-Based Systems Engineering) Recent publications address safety analysis in remote pilotage operations, decision-making frameworks for maritime systems, and microwave radiometry applications. Collaborative work spans autonomous vessel safety and intelligent fairway development. Academic Affiliation: Aalto University, College of Engineering, Department of Energy and Mechanical Engineering.

• Systems Engineering
• Sustainable Manufacturing
• Cyber-Physical Systems
• +۵ مورد دیگر

Dr. Ali Asghar Bataleblu is a Senior Research Fellow at the Sustainable Manufacturing Laboratory within the Faculty of Engineering at the Free University of Bozen-Bolzano . His work focuses on transdisciplinary systems engineering for resilience, sustainability, and circular economy , with over a decade of experience in uncertainty-based Multidisciplinary Design Optimization (MDO) . He was previously the director of an MDO research center for nearly ten years. Academic Rank: Research Fellow Key Research Areas: Systems Engineering, Cyber-Physical Systems, Resilience Engineering, Sustainable Manufacturing Dr. Bataleblu’s research bridges model-based systems engineering (MBSE) , digital twins , and surrogate-assisted optimization to address sustainability challenges in manufacturing and mobility. He employs multi-agent systems and system-of-systems frameworks to analyze complex interactions in industrial and environmental contexts. His work includes requirements management and axiomatic design for holistic system decomposition. The 15 most recent articles highlight his focus on resilient cyber-physical production systems , sustainable mobility , AI-integrated MBSE , and multi-agent optimization for wildfire management. These works span disciplines like industrial engineering , computational intelligence , and urban planning , with subfields covering digital twins , dynamic system modeling , and automated routing . Scientific Awards: TOWARDS South Tyrol International Postdoctoral Fellowship (2023) Young Scientist Award at ICQIS-2024 (2024) He leads the Sustainable Factory Design Decomposition (SFDD) project funded by the Autonomous Province of Bolzano , collaborating with Purdue University Fort Wayne . His research integrates graph database visualization for supply chain resilience and life cycle assessment (LCA) automation in fast-moving consumer goods. He also explores reinforcement learning for aerial vehicle design and robust control systems for drones.

Mitchell Kirshnerمشاهده پروفایل

پژوهشگر

• Systems Engineering
• Space Systems
• Cybersecurity
• +۴ مورد دیگر

Mitchell Kirshner is a Researcher at the University of Arizona's Department of Systems & Industrial Engineering, specializing in Model-Based Systems Engineering (MBSE). He holds a Ph.D. from the same institution (2023) and previously worked at General Dynamics Electric Boat and attended Northwestern University for his BS and MS. His research focuses on applying MBSE to optimize space systems, particularly in telescope constellations and cybersecurity, under the guidance of Dr. Eric Pearce. He also explores interdisciplinary areas like human-computer interaction for space situational awareness and biomimetic design. Education: Ph.D., Systems & Industrial Engineering, University of Arizona, 2023 MS and BS, Northwestern University Research Interests: Mitchell’s work bridges systems engineering with aerospace applications, emphasizing semantic interoperability, cybersecurity for space systems, and requirements-based trade studies. He has pioneered methods to integrate digital engineering tools for crewed Mars missions and developed the EnDEVR VR environment for collaborative data analysis. His research also addresses challenges in optical sensor constellations and near-IR spectral analysis of space objects. Articles Trends: His publications span MBSE applications in autonomous systems, cybersecurity, and space systems optimization. Notable themes include space domain awareness through sensor networks, model-based security frameworks, and interdisciplinary methods for complex systems like telescope constellations and Mars mission planning. Advising & Grants: While no formal advisees are listed, Mitchell’s research is supported by grants under Dr. Pearce’s supervision. His work contributes to projects like EnDEVR (VR data engineering) and space situational awareness systems. Labs & Teams: Mitchell collaborates on the EnDEVR project and contributes to space systems engineering teams focused on constellation architectures and cybersecurity resilience.

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.

Wei-Chun Chinمشاهده پروفایل

استاد

• Polymer Physics
• Microfabrication
• Bioengineering
• +۵ مورد دیگر

Professor Wei-Chun Chin is a faculty member at the School of Engineering, University of California, Merced, specializing in Chemical and Materials Engineering. His research bridges polymer physics, microfabrication, and biological systems, with affiliations in interdisciplinary graduate groups including Quantitative and Systems Biology (QSB), Environmental Systems (ES), and Materials and Biomaterials Science and Engineering (MBSE). Ph.D., 2000 — University of Washington M.S.E., 1996 — University of Washington M.S., 1989 — National Tsing-Hua University (Taiwan) B.S., 1987 — National Tsing-Hua University (Taiwan) His research focuses on intracellular signaling in diseases like acute pancreatitis and cystic fibrosis, microenvironment effects on stem cell differentiation via microfabrication, spontaneous polymer gel assembly in aqueous environments, and microplastic impacts on marine ecosystems. Recent work explores nanoplastic-induced alterations in mucin rheology and exopolymeric substances (EPS) in marine carbon cycling. Professor Chin’s publications (2010–2025) span environmental nanotoxicology, bioengineering, and marine organic matter dynamics, with a emphasis on nanoparticle-biological interactions and climate regulation. His studies on microplastics and EPS have advanced understanding of marine oil snow, carbon fluxes, and pollutant interactions. He employs advanced microfluidic and biosensor technologies, such as light-addressable potentiometric sensors (LAPS) and graphene-based platforms, for real-time cellular and environmental monitoring.

Albert Albersمشاهده پروفایل

استاد

• Product Development
• Drive Technologies
• Mechatronics
• +۶ مورد دیگر

Prof. Albert Albers is a faculty member at the Karlsruhe Institute of Technology (KIT) and heads the Institute for Product Development (IPEK) . His research focuses on reducing development times while enhancing efficiency and quality in drive technologies and mechatronics through Agile Systems Design (ASD). He emphasizes holistic system analysis, combining simulations and experimental studies at all levels, from components to complete systems. Research Interests: Drive system technology in automotive and mechanical engineering Agile methods in product development Model-Based Systems Engineering (MBSE) Advanced Systems Engineering (ASE) for innovation tasks Tribological analysis of components like clutches Sustainable and efficient drive systems 3D vibration measurement and thermal imaging for NVH behavior Institute Facilities: Vehicle-in-the-loop test benches Highly dynamic performance test benches 3D scanning vibrometer High-speed thermal camera and fiber-optic temperature measurement High-performance computing cluster for virtual product development

• First year engineering curriculum design
• Recruitment and retention of underrepresented groups
• P-12 curriculum modification
• +۳ مورد دیگر

Audeen Fentiman is the Crowley Family Professor in Engineering Education at Purdue University's School of Engineering Education. Her work focuses on curriculum design, diversity in engineering education, and radioactive waste management. She holds a Ph.D. and M.S. in Nuclear Engineering from The Ohio State University, an M.A. in Mathematics from West Virginia University, and a B.S. in Mathematics from Glenville State College. Ph.D., Nuclear Engineering, The Ohio State University M.S., Nuclear Engineering, The Ohio State University M.A., Mathematics, West Virginia University B.S., Mathematics (minor, physics), Glenville State College Her research interests include first-year engineering curriculum design, recruitment/retention of underrepresented groups, P-12 curriculum reform, graduate education reform, radioactive waste management, and environmental risk assessment. She has been recognized with prestigious awards such as the Sharon Keillor Award for Outstanding Woman Engineering Educator and multiple Boyer Awards for Teaching Innovation. Awards: 2012 Fellow (American Nuclear Society), 2010 Fellow (American Council on Education), 2001 Fellow (AAAS), and others. Her advising and grants focus on fostering inclusive educational environments and advancing engineering pedagogy. She is affiliated with Purdue's Armstrong Hall and Wang Hall research lab.

• Combinatorial Optimization
• Network Flow Problems
• Network Design
• +۵ مورد دیگر

Ashwin Arulselvan is a Senior Lecturer in Management Science at the University of Strathclyde since 2014. He holds a PhD in Industrial and Systems Engineering from the University of Florida (2009) and completed postdoctoral research at the University of Warwick (2009-2010) and Technische Universität Berlin (2010-2014). His expertise lies in combinatorial optimization, with a focus on network flow problems, integer programming, and approximation algorithms, extending to applications in satellite networks and blockchain systems. His research has been recognized with awards including the 2023 Best Paper Award and a 2010 Postdoctoral Research Fellowship. He teaches undergraduate and MSc courses at Strathclyde and has contributed to doctoral programs at the Indian Institute of Technology, Mumbai. Key projects include blockchain-based satellite consensus mechanisms, distributed ledger approaches to model-based systems engineering, and optimization in aerospace and telecommunication networks. Education: PhD (Industrial & Systems Engineering), University of Florida; Postdoctoral Fellowships (Warwick & TU Berlin) Research Interests: Network optimization, satellite systems, combinatorial algorithms, blockchain applications Arulselvan has led or co-investigated funded projects such as the Blockchain Ecosystem for Satellite Networks (2022-2023) and the Distributed Ledger Approach to MBSE (2021-2022). He serves on the editorial board of Optimization Letters and has organized major conferences like the International Conference on Machine Learning, Optimization, and Data Science (2020).

• Electromagnetic Engineering
• Signal Processing
• Biomedical Engineering
• +۳ مورد دیگر

Juan Antonio Martínez Rojas is an Associate Professor in the Department of Signal Theory and Communications at Universidad de Alcalá (UAH). He holds a Ph.D. from Universidad Complutense de Madrid (2000), specializing in ion spectrometry via photoionization and electron collision processes. His research focuses on electromagnetic systems engineering, antenna design for biomedical applications, and advanced signal processing techniques. He leads the Radiation and Sensing Group (RSG) and has contributed to over 50 peer-reviewed articles since 1982. Education Ph.D. in Physics, Universidad Complutense de Madrid (2000) Thesis: "Espectrometría de iones obtenidos mediante procesos de fotoionización y colisión por electrones" Supervised by Dr. José Campos Gutiérrez and Dr. Montserrat Ortiz Ramis Research Interests Electromagnetic field modeling and optimization Biomedical antenna systems and wireless power transfer Signal processing for material characterization Fractal-based image enhancement techniques Wood and biomaterial analysis using acoustic and vibrational methods Key Contributions His work spans from antenna miniaturization for medical implants to non-destructive testing of materials through acoustic and vibrational analysis. Recent efforts focus on smartphone-based electromagnetic exposure assessment and systems engineering approaches to wireless energy transfer. He has pioneered fractal convolution methods for improving mammogram clarity and developed bio-inspired spectral techniques for wood classification. Labs & Teams Principal investigator of the Radiation and Sensing Group (RSG), collaborating on projects involving electromagnetic compatibility, biomedical sensors, and material characterization. Active in university-industry partnerships for wireless energy solutions in healthcare.

• Aerospace Engineering
• Automotive Engineering
• Model-Based Systems Engineering (MBSE)
• +۱ مورد دیگر

Prof. Dr. Jutta Abulawi is a faculty member at Hamburg University of Applied Sciences, affiliated with the Faculty of Engineering and Computer Science and the Department of Automotive Engineering and Aircraft Construction . Her research focuses on aerospace and automotive engineering, with an emphasis on sustainable transportation systems and model-based systems engineering (MBSE). Key research areas include: Aerospace Engineering Automotive Engineering MBSE methodologies Sustainable transportation technologies She is actively involved in research projects such as KIVIKA and MBSE initiatives at HAW Hamburg.

Aldo Fabregas Arizaمشاهده پروفایل

استادیار مدعو

• Systems Engineering
• Model-Based Systems Engineering (MBSE)
• Digital Engineering
• +۸ مورد دیگر

Dr. Aldo Fabregas Ariza is an Adjunct Assistant Professor in the Department of Mathematics and Systems Engineering within the College of Engineering and Science at the Florida Institute of Technology. He teaches key courses in systems engineering, including Model-Based Systems Engineering (MBSE), Requirements Engineering, System Modeling and Analysis, and Decisions & Risk Analysis. His research focuses on digital engineering , intelligent transportation systems , and energy systems modeling , with strong applications in manufacturing and decision support. His expertise spans simulation, mathematical programming, and machine learning for complex system design and analysis. Dr. Fabregas has led sponsored research projects funded by the Florida Department of Transportation, Florida Department of Consumer Affairs, the International Development Bank, and aerospace companies on the Space Coast. He previously served as a Research Associate at the Center for Urban Transportation Research (CUTR) at the University of South Florida, where he worked on transportation analytics and intelligent systems. He holds professional certifications as an INCOSE Certified Systems Engineering Professional (CSEP) and an OMG Certified Systems Modeling Professional (OCSMP) . He is an active contributor to IEEE Systems Engineering and Transportation Research Board conferences, both as an author and reviewer. His work bridges academia and industry, particularly in digital thread applications for manufacturing and simulation-based decision support systems in transportation and aerospace domains.

Dominik Knollمشاهده پروفایل

استادیار

• Model-Based Systems Engineering
• Concurrent Design
• Space Systems Engineering
• +۴ مورد دیگر

Dominik Knoll is an Assistant Professor at the Faculty of Mathematics and Computer Science, Babeș-Bolyai University in Cluj-Napoca, Romania, teaching undergraduate computer science courses since March 2023. His instructional portfolio includes Formal Languages and Compilers (Autumn 2020-2022), Object-Oriented Programming in C++ (Spring 2021-2023), and Computer Architecture (Autumn 2021-2022), delivered primarily in German language to international students. His academic credentials comprise: PhD in Engineering Systems (2014-2019) from Skoltech with thesis Model-based Processes and Tools for concurrent conceptual design of space systems MSc in Applied Computer Science (2004-2007) from University of Salzburg, passed with distinction BSc in Applied Computer Science (2000-2003) from University of Salzburg Knoll's research centers on Model-Based Systems Engineering (MBSE) and concurrent design methodologies, with specialization in aerospace applications. He pioneered the open-source CEDESK tool for collaborative design and has extensive experience in adapting MBSE frameworks to industrial contexts. His work bridges theoretical systems engineering with practical software tool development, emphasizing traceability across engineering lifecycles and cross-disciplinary data integration. Analysis of his 15 most recent publications (2007-2024) reveals an evolving research trajectory from robotics and communications engineering toward comprehensive MBSE frameworks. Recent works (2021-2024) focus on digital thread implementation, PLM-MBSE integration, and traceability in mechatronic systems, while earlier aerospace publications document high-altitude balloon experiments and concurrent design tool development. The corpus demonstrates consistent emphasis on solving data exchange challenges in multi-domain engineering environments. His scientific recognition includes: Stanford Global Balloon Challenge (2015) for inter-balloon communications experiments As an academic advisor, Knoll mentors bachelor students through structured thesis projects in privacy-by-design applications, distributed systems, and academic publication tools. His industrial engagement includes managing a 15-month research project for a major European aerospace company on technology roadmapping adaptation. He maintains active industry collaboration seeking solutions to complex engineering challenges. Knoll established Skoltech's concurrent design facility infrastructure and operations during his doctoral studies. Beyond academia, he co-founded the NGO New Humanity and contributes to the United World Project, promoting intercultural dialogue through initiatives like language exchange programs and community gardening. His technical proficiency spans Java, C++, Python, and web technologies with professional multilingual capabilities (German, English, Italian, Russian, Romanian).

Sanjeev Raoمشاهده پروفایل

استادیار

• Sustainability
• Automation
• Advanced Composites Manufacturing
• +۶ مورد دیگر

Dr. Sanjeev Rao is an Assistant Professor in the Department of Aerospace Engineering at Khalifa University, UAE, specializing in materials manufacturing and processing (M&P) engineering. He provides critical support to UAE composites manufacturing industries, focusing on sustainability, automation, and advanced composite manufacturing aligned with Industry 4.0. PhD, ME, BE His research centers on: Advanced composites manufacturing Model-Based Systems Engineering (MBSE) in composites Digital Twin Technology for manufacturing processes Data-driven product design and manufacturing Sustainability, recycling, and upcycling of composite materials Dr. Rao has successfully delivered multiple projects for UAE-based industries, including work on thermoplastic composites and process optimization using Six-Sigma methodologies. He is affiliated with the Advanced Research and Innovation Center and collaborates with technical staff in composites manufacturing.