جست‌وجوی استاد و پژوهشگر

• Digital Twins
• Robotics
• Manufacturing Systems
• +۱ مورد دیگر

Daniella Tola serves as an Assistant Lecturer in the Department of Electrical and Computer Engineering at Aarhus University, Denmark, focusing on the integration of digital twin technology with robotics for industrial applications. Her work bridges theoretical frameworks and practical implementations in manufacturing automation. Her research portfolio centers on: Digital twin development for manufacturing systems Modular robotics integration Anomaly detection in robotic operations Visualization techniques for cyber-physical systems Analysis of her recent publications (2023-2024) reveals a strategic emphasis on enabling digitalization in modular robotic systems, with particular attention to cooperative digital twins and unit-level manufacturing applications. Her work consistently addresses practical implementation challenges through modeling approaches and standardized frameworks like URDF. International collaboration is evident through her 2022 visiting researcher position at Queensland University of Technology, reflecting active engagement in the global robotics research community.

Ali Hajimiriمشاهده پروفایل

استاد

• Integrated Circuits
• Nano-Photonics
• Biosensing
• +۷ مورد دیگر

Ali Hajimiri is the Bren Professor of Electrical Engineering and Medical Engineering at the California Institute of Technology (Caltech), where he has been a faculty member since 1998. He also serves as Co-Director of the Space-Based Solar Power Project and previously held leadership roles such as Executive Officer for Electrical Engineering and Director of Information Science and Technology. B.S. in Electronics Engineering, Sharif University of Technology (1994) M.S. and Ph.D. in Electrical Engineering, Stanford University (1996, 1998) Hajimiri's research focuses on integrated electronics and photonics systems, spanning applications in wireless power transfer, quantum communication, biomedical devices, and flexible antenna arrays. His work bridges theoretical analysis with practical implementations in silicon-based technologies across RF, mm-wave, and optical frequencies. Hajimiri's recent publications emphasize RF/Microwave Circuit Design , Quantum Photonics , and Flexible Electromagnetic Surfaces , with a notable trend toward space-based wireless ecosystems and reconfigurable phased arrays. His 15 most recent articles (2025–2024) highlight innovations in power transfer, quantum wavefunction manipulation, and deployable satellite systems. Scientific Awards : Feynman Prize for Excellence in Teaching (Caltech’s highest honor) Fellow of the National Academy of Inventors and IEEE TR35 Top Innovator Three-time ASCIT Teaching Award winner ISSCC Jack Kilby Outstanding Paper Award NSF CAREER Award Okawa Foundation Award Hajimiri teaches foundational courses like EE 44: Deterministic Analysis of Systems and EE/MedE 114: Analog Circuit Design . He leads the Caltech Holistic Integrated Circuit (CHIC) Laboratory, mentoring a team developing technologies for space-based solar power , quantum receivers , and ultra-thin cameras . His lab has produced groundbreaking patents (over 180 issued) and spin-offs like Axiom Microdevices (acquired by Skyworks).

Malte Huerkampمشاهده پروفایل

پژوهشگر

• Robotics
• Artificial Intelligence
• Task Planning
• +۳ مورد دیگر

Malte Huerkamp is a Researcher at the University of Bremen, focusing on robotics and artificial intelligence. He works within the research group led by Prof. Dr. hc. Michael Beetz, contributing to projects involving task planning, motion control, and human-robot collaboration. Research Interests: Robotics and AI integration Knowledge-based servoing frameworks Sim-to-real transfer for robotic tasks Cognition-enabled autonomous systems Household manipulation tasks Collaborative digital research infrastructures Publications highlight his work in motion pattern analysis, hybrid robotic controllers, and virtual collaborative environments. He is actively involved in robotics innovation ecosystems like the Virtual Research Building initiative.

Martin Grunowمشاهده پروفایل

استاد

• Production and Supply Chain Management
• Operations Research
• Automotive Manufacturing
• +۴ مورد دیگر

Prof. Dr. Martin Grunow is a Professor in Production and Supply Chain Management at the TUM School of Management, Technical University of Munich , where he leads the Production and Supply Chain Management Group. With previous roles as Professor in Operations Management at the Technical University of Denmark and Assistant Professor at Technical University of Berlin, his career spans academia and industry research at Evonik AG. Education: Habilitation (2005), PhD (1999, summa cum laude), Master of Industrial Engineering (1993), and Management (1988) from Technical University of Berlin and Dublin City University Research Interests include smart manufacturing , perishable supply chains , and sustainability optimization . His work addresses dynamic assembly layouts , climate risk inventory systems , and RFID applications across industries. Recent publications focus on automotive production transitions to electric vehicles, deep reinforcement learning for ameliorating inventory , and stochastic lot sizing in food supply chains. He has secured grants from DFG, EU, and NSF, among others. Scientific Leadership Editor-in-Chief of OR Spectrum (2008–2021) Area Editor, Flexible Services and Manufacturing Journal Head of GOR Working Group on Supply Chain Management He oversees 10 doctoral candidates and 7 external doctoral researchers , with significant contributions to pharmaceutical market launch planning , semiconductor scheduling , and milk concentrate lifecycle assessments .

Eric Lecolinetمشاهده پروفایل

استاد

• Human-Computer Interaction
• Touch and Tactile Interfaces
• Gesture-Based Interaction
• +۵ مورد دیگر

Professor Eric Lecolinet is a faculty member at Télécom Paris, Institut Polytechnique de Paris, leading the DIVA (Design, Interaction, Visualization & Applications) research team within the LTCI laboratory. He is also President of the French-speaking Human-Machine Interaction Association ( AFIHM ). Education & Qualifications He earned his Habilitation à diriger des recherches (HDR) in 2018 from Université Paris-Saclay, specializing in Computer Science and Human-Computer Interaction, with a thesis entitled “Making Interaction Gestural: Expressivity and Memorability of Gestures” . Research Interests His research spans: Touch and tactile interfaces, including artificial skin and multi-modal feedback. Graphical and gestural user interfaces for mobile, wearable, and immersive systems. Virtual and augmented reality interaction techniques, with emphasis on safety and memory effects. Interactive visualization and novel display platforms, notably the Digiscope high-performance visualization network. Publications & Trends Over the past five years, Professor Lecolinet’s work has concentrated on: Understanding and designing haptic interfaces that leverage artificial skin (Skin-On) and pneumatic feedback for affective communication. Exploring security and ethical implications of perceptual manipulations in VR, including memory distortions and physical risks. Developing compact gesture vocabularies for small surfaces and confined spaces, combining marking menus, finger-count shortcuts, and multi-modal feedback. Scientific Awards & Honors No specific awards are listed in the provided material, but he is recognized through leadership roles: President of AFIHM, member of the LTCI laboratory council, and scientific head of Télécom Paris Fablab. Teaching & Advising He directs the Master Interaction, Graphics & Design (IGD) at IP Paris and co-directs the 3D & Interactive Systems engineering track (IGR). He teaches courses on: Human-Computer Interaction Interactive 2D/3D and mobile application development Programming paradigms (C/C++, Qt, Swing) Current PhD students include Yang Liu and Elise Bonnail . Labs & Teams He leads the DIVA group (≈25 researchers) and oversees the PIXLS and IRIS platforms within the Equipex+ Continuum and former Digiscope networks. He also manages the Télécom Paris Fablab , a digital fabrication laboratory serving both research and education.

• Architectural Design
• Computational Design
• Mycelium-based Materials
• +۷ مورد دیگر

Jonathan Dessi-Olive is an Assistant Professor at Kansas State University’s School of Architecture, with prior roles at Georgia Tech and MIT. His work bridges computational design, structural engineering, and sustainable materials, focusing on mycelium-based composites, tensegrity systems, and shape grammars. He leads the MycoMatters Lab, which explores fungi-driven construction for decarbonization and circular economies. PhD advisors: George Stiny, Terry Knight, John Ochsendorf (MIT) 2017-2019: Visiting Assistant Professor, Georgia Tech 2020-2021: Director, MycoMatters Lab Research interests include architectural acoustics, biomaterials, and algorithmic design. His projects integrate shape grammars with material performance, such as Simulation-Validated Shape Grammar for Architectural Acoustics (2022) and mycelium-based structural prototypes like Monolithic Mycelium: Growing Vault Structures (2019). Articles emphasize sustainable fabrication, acoustic optimization, and bio-composite reinforcement. Recent work with Tim Hsu on acoustical arrays and mycelium structures has appeared in Nexus Network Journal and Structures and Architecture . Key trends show interdisciplinary focus: computational methods, material science, and community-driven design. Awards include the 2019 Best Full Paper at SimAUD and the 2017 Ventulett NEXT Fellowship. Scientific Awards: Best Full Paper Award, SimAUD Symposium (2019) Georgia Tech Masonry Research Grant (2018) Ventulett NEXT Fellowship (2017) TODA Fund Grant (2015) ARCC King Medal (2010) As Principal Investigator for the Sustainable Development for Rural Kansas project (2020-2021), he explored agricultural byproduct-to-building material pipelines. Collaborations span plant pathology, agricultural economics, and engineering. The MycoMatters Lab demonstrates his commitment to integrating design, biology, and robotics for scalable eco-material solutions. Lab projects include the 2018 El Monolito Micelio pavilion, which used fabric-formwork casting for monolithic mycelium structures, and the 2019 Air-Ten Module inflatable tensegrity prototype at Georgia Tech. His 2020 APDESIGN PPE Response mobilized 3D-printing during the pandemic, producing 2800+ face shields.

• Modular and Offsite Construction
• Building Information Modelling (BIM)
• Lean Manufacturing
• +۵ مورد دیگر

Dr. Mohamed Al-Hussein is a Professor and NSERC Industrial Research Chair in the Industrialization of Building Construction at the University of Alberta’s Department of Civil and Environmental Engineering. His work focuses on advancing modular and offsite construction technologies through automation, lean principles, and Building Information Modelling (BIM). PhD, Construction Engineering & Management, Concordia University (1999) MASc, Construction Engineering and Management, Concordia University (1995) MSc, Civil Engineering, University of Architecture & Civil Engineering, Bulgaria (1988) BSc, Civil Engineering, University of Architecture & Civil Engineering, Bulgaria (1983) Dr. Al-Hussein’s research spans five key domains: Modular Construction: Pioneering high-efficiency offsite building systems, including rapid assembly of student dorms and mid-rise residential buildings. BIM & Digitalization: Developing 3D/4D modeling frameworks, automated design systems, and digital twin applications for construction optimization. Environmental Sustainability: Quantifying CO2 emissions, exploring nano energy storage, and advancing solar PV integration in residential construction. Urban Planning: Specializing in age-restricted community design, municipal infrastructure maintenance, and housing affordability analysis related to paving standards. Construction Safety: Applying ergonomic risk assessment tools and virtual reality to enhance worker safety and reduce construction-related hazards. His 400+ peer-reviewed publications reflect cutting-edge applications of AI, deep learning, and simulation across construction processes. Recent work explores metaverse integration, blockchain collaboration tools, and advanced crane operation optimization using reinforcement learning. As Editor-in-Chief of the International Journal of Industrialized Construction , Dr. Al-Hussein remains a global authority in this field. He has developed industry-transforming technologies like the Quikmod-2 modular lift frame and PCL lift frame project , with real-world implementations ranging from Shell Scotford complex equipment replacement to CBC News and Forbes featured projects.

• Lean Construction
• Production Planning and Control
• Value Management
• +۱۱ مورد دیگر

Farook Hamzeh is a Professor in the Department of Civil and Environmental Engineering at the University of Alberta since 2019. He previously held faculty positions at Colorado State University (2009-2011) and the American University of Beirut (2011-2019). His research focuses on advancing Lean Construction principles through digital transformation, including BIM, Digital Twinning, and wearable sensors, to optimize construction productivity and reduce process waste. Ph.D., University of California, Berkeley M.S., University of California, Berkeley M.S., American University of Beirut B.S., American University of Beirut His work integrates lean methodologies with Industry 4.0/5.0 technologies such as AI, robotics, and simulation to address challenges in production planning, value management, and human-centered systems. A co-author of the seminal book Lean Construction 4.0 , he has published over 200 peer-reviewed articles and book chapters. Recent publications emphasize AI-driven workspace planning, fuzzy logic for lean assessment, entropy-based project dynamics, and human-cognitive load analysis in construction environments. His research frequently involves collaboration with students and international institutions, focusing on offsite construction, modular systems, and digital twin applications.

Florian Franzmannمشاهده پروفایل

پژوهشگر

• Real-Time Systems
• Embedded Systems
• Multi-core Processing
• +۴ مورد دیگر

Florian Franzmann is a researcher in the Department of Computer Science 4 (Distributed Systems and Operating Systems Group) at the University of Erlangen-Nuremberg. His work focuses on real-time systems, embedded systems, and distributed scheduling. Role: Researcher (academic rank) Teaching: Supervised exercises for courses like "Echtzeitsysteme" (Real-Time Systems) and "Verläßliche Echtzeitsysteme" (Dependable Real-Time Systems) Research Interests include real-time scheduling, distributed systems, multi-core processing, and quality-aware digital signal processing. His work often bridges theoretical models with practical implementations in safety-critical domains. Publications highlight trends in time-triggered architectures, adaptive resource protocols, and multi-core real-time computing. Key subtopics include WCET analysis, task migration, and system synthesis. Advising includes supervision of master's and diploma theses on projects like RTSC_SIMULINK and AORTA_RISCV. Students include Tobias Klaus, Thomas Reichinger, and Florian Güthlein. Labs & Teams: Part of the Distributed Systems and Operating Systems Group at FAU, collaborating on projects like AORTA and RTSC.

Xiao Kuangمشاهده پروفایل

استادیار

• Smart Polymer Composites
• Biomaterials
• Advanced Manufacturing
• +۴ مورد دیگر

Dr. Xiao Kuang is an Assistant Professor in the Mechanical Engineering Department at the University of Wisconsin-Madison, leading the Adaptive Materials and Advanced Manufacturing (AM2) Lab. His research focuses on functional soft (bio)materials and additive manufacturing, addressing challenges in sustainability and healthcare through innovations in 3D printing, smart polymers, and biomedical applications. He earned his Ph.D. from the University of Chinese Academy of Sciences and completed postdoctoral training at Georgia Tech and Harvard Medical School. Education: Ph.D., University of Chinese Academy of Sciences (2016) B.S., Beijing University of Chemical Technology (2011) Research interests span smart polymer composites, biomaterials, advanced manufacturing, ultrasound technology, and sustainability. The AM2 Lab explores stimuli-responsive materials, bioengineering approaches, and machine learning to develop multifunctional devices and systems for marine, aerospace, and biomedical fields. Awards include the 2019 ACS Distinguished Poster Nomination, 2018 Georgia Tech SPN Poster Prize, and multiple honors from Chinese academic institutions. His work has been featured in Advanced Materials , Small , and Composites Part B . Teaching includes courses on polymer additive manufacturing, manufacturing processes, and PhD research. The AM2 Lab collaborates on grants and projects in biofabrication, sustainable materials, and medical devices. Labs/Teams: The AM2 Lab pioneers adaptive materials and 4D printing for next-generation applications, emphasizing interdisciplinary collaboration across engineering and biomedicine.

• Power Electronics
• Electric Motor Drives
• Renewable Energy Systems
• +۵ مورد دیگر

Prof. Dr. Mutlu BOZTEPE is a Professor in the Department of Electrical and Electronics Engineering at Ege University's Faculty of Engineering. His research focuses on Power Electronics, Electric Motor Drives, Renewable Energy Systems, and Energy Conversion. He has contributed extensively to advancements in power inverters, wind energy conversion systems, and wireless battery charging technologies. With a strong emphasis on sustainable energy solutions, his work addresses challenges in grid integration, harmonic mitigation, and efficient power conversion. Research interests include optimizing power electronic converters for renewable energy applications, developing modular and scalable motor systems, and improving energy storage solutions. His publications highlight innovations in photovoltaic systems, inverter designs, and control strategies for electric drives. Prof. BOZTEPE has collaborated on projects involving solar inverters, magnetic catheter guidance systems, and energy-efficient industrial applications. His articles demonstrate a trend toward addressing technical barriers in renewable energy integration, such as harmonic limits in unbalanced grids and efficient DC/AC conversion. While no scientific awards are explicitly listed, his extensive publication record (over 60 entries) and citation metrics reflect significant academic impact. Advising and grant details are not provided in the available texts.

Jorrit J. Olthuisمشاهده پروفایل

پژوهشگر

• Robotics
• Cybersecurity
• Machine Learning
• +۳ مورد دیگر

Jorrit J. Olthuis is a doctoral candidate in the Data Protection group at Eindhoven University of Technology (TU/e), within the Faculty of Mathematics and Computer Science. His research focuses on cybersecurity, robotics, and formal methods in safety-critical systems. He is actively involved in the INTERSECT project (NWA.1160.18.301), which aims to develop secure IoT systems through modular architectures and forensic expertise. His work bridges theoretical computer science with practical applications in autonomous systems and machine learning. Olthuis has contributed to interdisciplinary projects combining robotics and AI, as evidenced by his participation in the Tech United Eindhoven Middle Size League, where his team won competitions in 2021–2024. These efforts emphasize multi-agent systems, real-time decision-making, and safety protocols. His publications address topics like autonomous navigation security, vision-based machine learning, and cryptography on constrained devices. He holds a master’s degree with theses on pairing-based cryptography performance and formal requirement verification. His research aligns with trends in secure IoT, autonomous systems, and AI ethics. Current projects explore cyberattack defense strategies and resilient system design.

Wei Wangمشاهده پروفایل

استادیار

• Marine Robotics
• Autonomous Systems
• Control Systems
• +۴ مورد دیگر

Wei Wang is an Assistant Professor in the Department of Mechanical Engineering at the University of Wisconsin-Madison, leading the Marine Robotics Lab (MRL). His research focuses on designing and controlling autonomous robots in complex aquatic environments, with expertise in marine robotics, bioinspired systems, and underwater perception. He joined the university in January 2024 and teaches courses such as E M A 599, M E 351, and M E 376. Education: PhD in Mechanical Engineering from Peking University (2016), Bachelor of Engineering from University of Electronic Science and Technology of China (2010). Notable academic distinctions include being a finalist for the 2022 MIT Water Innovation Prize and a champion in the 2014 International Underwater Robot Competition. Research Interests: The MRL explores innovative robotics concepts for aquatic monitoring, ocean exploration, and urban transportation. Key areas include autonomous navigation, control algorithms, and bioinspired design. Recent work emphasizes deep reinforcement learning, hybrid actuation systems, and robust model predictive control for surface and underwater vehicles. Publications: Over 25 peer-reviewed articles since 2013, with a focus on marine robotics, control systems, and bioinspired mechanisms. Notable contributions include Roboat III’s urban transportation system and AI-driven underwater glider design. Awards: Extensive recognition for innovation in robotics, including the NOW Awards Silver Winner (2019) and multiple academic excellence awards from Peking University and UESTC. Lab & Teams: The Marine Robotics Lab collaborates on projects like Roboat (autonomous urban vessels) and underwater electrocommunication systems. Current research integrates AI, bioinspired engineering, and environmental adaptation for next-generation autonomous systems.

• Empirical Software Engineering
• Model-Driven Development
• Software Architecture
• +۲ مورد دیگر

Professor in the Department of Computing, Mathematics, and Physics at Western Norway University of Applied Sciences. Research bridges academia and industry through empirical studies on software modeling, requirements engineering, and software architecture. Current collaborations include Volvo, Ericsson, Saab, and Grundfos. Publications focus on marine data systems, sustainability in computing education, and industrial software engineering challenges. Research spans empirical software engineering with emphasis on industrial modeling applications, requirement engineering, and architecture design. Recent work explores marine data observability, sustainability education, and anomaly detection systems. Publications demonstrate consistent focus on practical software engineering solutions, with recent expansion into sustainable computing education and marine data systems. Trend shows increasing emphasis on environmental applications of computing technologies.

Daniel Hagenمشاهده پروفایل

دانشیار

• Robotics
• Modeling and Simulation
• Actuation Systems
• +۴ مورد دیگر

Daniel Hagen is an Associate Professor at the Department of Engineering Sciences, University of Agder (UiA), Norway. He holds a Ph.D. in Engineering Sciences (2020), M.Sc. and B.Sc. in Mechatronics (2014 and 2012), and a Trade Certificate as Automation Mechanic (2009). His academic career is complemented by extensive industrial experience in roles such as Chief Scientist at Twilligent and Senior Technical Advisor at MotionTech, focusing on control systems, robotics, and energy-efficient mechatronics. Dr. Hagen's research interests include robotics, actuation systems, fluid power, and control systems. He leads projects in digital twins, autonomous robotics (e.g., UiAbot), and energy-efficient electro-hydraulic systems. His work emphasizes practical applications in offshore engineering and industrial automation. He teaches courses like Robotics and Instrumentation, Programming for Intelligent Robotics, and Mechatronic System Design. He is affiliated with research groups such as CAIR (Artificial Intelligence Research) and the Intelligent Mechatronics (iTron) group. Recent publications focus on real-time control systems, payload motion prediction, and digital twin frameworks for mechatronics. His research bridges academic innovation with industrial challenges, particularly in energy efficiency and autonomous systems.