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Christian BraunerView profile

Professor

• Fiber Composites
• Lightweight Construction
• Manufacturing Simulation
• +3 more

Prof. Dr. Christian Brauner serves as a Professor and Group Leader of the Structural Mechanics group (Lightweight Construction and Fiber Composite Technologies) at the Institute of Polymer Technology within the School of Engineering and the Environment at the University of Applied Sciences Northwestern Switzerland (FHNW). He has held this position since 2017 and concurrently serves as Chairman of the Board of Composite United Switzerland since 2018. His educational background includes a Diploma in Mechanical Engineering (Dipl.-Ing. FH) from Bielefeld University of Applied Sciences (1991-2005) and a Master’s degree (M.Sc.) in “Computer Aided Mechanical Engineering” from FH Flensburg (2006-2008). He completed his doctorate at the University of Bremen on numerical methods for manufacturing process modeling. Prof. Brauner's research focuses on fiber composite design methods, manufacturing simulation (draping, infusion, curing, warping), multiphysical modeling, and material development. He specializes in Production 4.0 integration—virtually mapping manufacturing processes with online monitoring systems. Current projects include infrared curing of thermoset composites, ultrasonic welding techniques, fatigue testing of dynamically loaded components, and high-temperature aerospace composites. His work spans automotive, marine, medical devices, and footwear applications, demonstrating cross-industry relevance of composite technologies. He leads multiple research initiatives including the EU project on high-temperature aviation composites, SuCoHS (sustainable composites), and Filapodo (patient-specific orthopedic filaments). As initiator of the NTN Innovation Booster Plastics for Zero Emission (since 2022), he drives sustainability in plastics engineering while teaching advanced composites courses across FHNW’s academic programs. Prof. Brauner heads the Structural Mechanics group at FHNW’s Institute of Polymer Technology, leveraging experience from building an eight-person department at Bremen’s Fiber Institute where he developed simulation methods to replace empirical industrial practices with knowledge-based manufacturing planning.

Haiyang ChaoView profile

Associate Professor

• Unmanned Aircraft Systems (UAS)
• Control Systems Engineering
• Remote Sensing
• +4 more

Haiyang Chao is an Associate Professor at the Department of Aerospace Engineering, College of Engineering, University of Kansas. His research focuses on Unmanned Aircraft Systems (UAS) with emphasis on control systems, wind estimation, remote sensing, and cooperative UAV operations. Recent work includes FireCrowdSensing for prescribed fire monitoring Wake vortex hazard estimation for airport UAS operations Thermal imaging for fire spread measurement Vertical wind velocity analysis in fire plumes System identification techniques for flying-wing UAVs Honors include the 2016 Summer Faculty Fellowship at Air Force Research Lab. He leads the Cooperative Unmanned Systems Lab (CUSL) and collaborates with NASA on gust sensing projects. Teaching interests include Avionics, Control Systems, and Autonomous Aerospace Vehicles.

Aydin NassehiView profile

Professor

• Smart Manufacturing Systems
• Agent-Based Manufacturing Planning and Control
• Artificial Intelligence in Manufacturing
• +3 more

Professor Aydin Nassehi is Head of the School of Electrical, Electronic and Mechanical Engineering at the University of Bristol, UK. He holds the academic rank of Professor of Production Systems and actively contributes to research in smart manufacturing, agent-based modeling, and digital twins. Research interests include AI integration in manufacturing, generative design, and systems optimization. He has collaborated extensively with Dr. Ben Hicks on projects like ProtoTwinning and Designing the Future , focusing on digital twin applications and transdisciplinary engineering. His scholarly output spans over 150 publications, with recent work emphasizing explainable AI, sustainability in food supply chains, and biomedical manufacturing innovations. Publications demonstrate expertise in machine learning, digital twin cost modeling, and additive manufacturing optimization. His projects have received funding from EPSRC and other academic institutions. Current research explores Industry 5.0 challenges, balancing automation with human-centric approaches, and advancing interoperability in cloud manufacturing environments.

Toni SusinView profile

Associate Professor

• Numerical Methods
• Physically-Based Simulation
• Computer Graphics
• +4 more

Toni Susin is an Associate Professor of Applied Mathematics at UPC-BarcelonaTech. He leads the Dynamic Simulation Lab, part of the ViRVIG research group in Barcelona. His research focuses on numerical methods, physically-based simulation, and applications in computer graphics and biomechanics. Key research areas include Physically-Based Animation Surgical Simulation Biomechanical Applications Image-Based Modeling Fluid Animation Techniques His recent work spans microbiome data analysis, sports performance tracking, and biomedical simulations. While no scientific awards are listed, his career includes founding three tech companies and mentoring numerous PhD/Master's students in computational methods and simulation technologies.

Janet MillerView profile

Lecturer

• Sustainable Building Systems
• Architectural Technology
• Building Sciences
• +3 more

Janet Miller is a Lecturer in the Department of Sustainable Technology and the Built Environment at Appalachian State University, where she contributes to programs in sustainable technology and building sciences. Her teaching includes TEC 1728: Architectural Graphics and Computer Modeling, aligning with the department's focus on applied design and sustainable construction. Her academic background includes: M.S. in Technology Building Science, Appalachian State University B.S. in Industrial Technology, Appalachian State University Her research and professional interests center on sustainable building systems, architectural technology, and computer modeling in design. These areas are reflected in her teaching and departmental affiliations, particularly within architectural graphics and sustainable construction technologies. While no recent publications are listed, her instructional focus suggests engagement with digital modeling tools and sustainable design practices in the built environment. No scientific awards or honors are mentioned in the available information. Janet Miller advises students through her teaching roles and contributes to the educational mission of the department. She supports prospective students through departmental outreach, including campus visits and program inquiries, though no formal advisees or grant funding are documented. She is actively involved in the academic operations of the Department of Sustainable Technology and the Built Environment, contributing to curriculum delivery in architectural technology and sustainable building systems.

Gregor SneltingView profile

Professor

• Programming Languages
• Compiler Construction
• Program Analysis
• +7 more

Gregor Snelting is a Professor and head of the Chair of Programming Paradigms at the Karlsruhe Institute of Technology (KIT), Faculty of Computer Science, Institute for Programming Languages and Compiler Construction. His research focuses on compiler construction, program analysis, software security, and verification. His primary research interests include programming languages, compiler design, program analysis, software security, information flow control, formal verification, object-oriented and concurrent programming, and software reengineering using concept analysis. His work aims to provide solid theoretical foundations and empirical validation. The research output, particularly the 15 most recent articles, shows a strong emphasis on software security and program analysis, with a focus on information flow control in Java using the JOANA tool. There is also a significant thread on invasive computing and resource-aware parallel programming. The work combines deep theoretical contributions, such as formal semantics and correctness proofs, with practical tool development and empirical validation. Faculty Teaching Award for the course 'Practice in Software Development' Snelting leads a research group that has developed several significant tools, including JOANA for security analysis, the Praktomat system for automated grading of programming assignments, and contributions to the libFirm compiler framework. His group is a key participant in major research initiatives like the DFG Collaborative Research Center InvasIC and the DFG Priority Program RS3. He advises students and supervises theses, fostering research in programming paradigms and software security. The group is involved in several key research projects: JOANA for information flow control in Java, InvasIC for invasive computing and dynamic parallelism, Quis-Custodiet for machine-checked correctness proofs of security analyses, and the development of the libFirm compiler framework.

Ibrahim M. ElfadelView profile

Professor

• Cyber Physical Systems
• Secure Cloud and Edge Computing
• Embedded Intelligence
• +7 more

Prof. Ibrahim M. Elfadel is a Professor in the Department of Computer and Information Engineering at Khalifa University, Abu Dhabi, UAE, where he has held academic positions since 2011 (previously at Masdar Institute, now integrated into Khalifa University). He concurrently serves as founder and CEO of Laboos Technologies, a UAE medical wearables startup, and has held significant leadership roles including founding co-director of the Abu Dhabi SRC Center of Excellence on Energy-Efficient Electronic Systems (2013-2018) and Program Manager of Mubadala's TwinLab MEMS (2014-2019). His educational background includes: Ph.D. from Massachusetts Institute of Technology (USA), 1993 M.Sc. from Massachusetts Institute of Technology (USA), 1986 Dr. Elfadel's research spans Cyber Physical Systems, Secure Cloud and Edge Computing, Embedded Intelligence, and Computer-Aided Design applications in VLSI, MEMS, and Photonics. His work integrates biomedical sensing, embedded signal processing, and secure reconfigurable computing, with active projects in Secure Low-Power IoT Communication, Machine Learning Methods in VLSI CAD, 3D Integrated Circuits, and MEMS-based energy harvesting systems. His research demonstrates strong industry-academia collaboration through Mubadala partnerships. His scientific recognition includes: Six IBM Invention Achievement Awards IBM Outstanding Technical Achievement Award IBM Research Division Award D. O. Pederson Best Paper Award (IEEE, 2014) Semiconductor Research Corporation Board Award (2018) IFIP Service Award (2022) Dr. Elfadel mentors six graduate students comprising PhD candidates Ismail Shittu, Toheeb Salahudeen (co-advised), and Waleed Rather (co-advised), along with MSc students Omar Alketbi, Abdulla Alsuwaidi, and Esrat Khan. His sponsored research portfolio, secured through entities like Mubadala and SRC, covers the full spectrum of cyber physical systems development from concept to working prototypes. He directs the Advanced Digital Systems Laboratory and maintains strong affiliations with the Center for Cyber-Physical Systems Research, having previously founded multiple research centers including ACE4S, TwinLab 3DSC, and iMicro (Masdar Institute Center for Microsystems).

• VLSI Design
• Computer-Aided Design
• Electronic Design Automation
• +4 more

Matthew R. Guthaus is a Professor in the Electrical and Computer Engineering Department at the University of California Santa Cruz's Baskin School of Engineering. With an active research career spanning over two decades, his work focuses on VLSI design, Electronic Design Automation, and memory systems. His research interests include VLSI Design, Computer-Aided Design, Electronic Design Automation, Memory Design, Clock Distribution, Resonant Clocking, and Machine Learning for EDA. Guthaus has made significant contributions to open-source EDA tools, most notably OpenRAM, which has become an important resource for memory compiler development in academia and industry. Analysis of his recent publications (2021-2025) reveals a strategic evolution in his research, incorporating machine learning techniques into traditional EDA problems while maintaining strong foundations in circuit design. His work spans from fundamental circuit design to high-level system considerations, with particular emphasis on open-source frameworks that enable broader collaboration in the semiconductor community. Guthaus has been actively involved in national initiatives addressing semiconductor research and workforce development, as evidenced by his contributions to NSF workshops on integrated circuits. His recent publications show continued innovation in memory design, clock distribution, and the application of AI to traditional EDA challenges. His research has practical applications in low-power circuit design, high-performance computing systems, and the growing field of neuromorphic computing. The consistent publication record through 2025 demonstrates ongoing active research and leadership in the EDA community.

Benjamin GregoireView profile

Researcher

• Compilers
• Formal Verification
• Cryptography
• +3 more

Benjamin Gregoire is a Researcher at INRIA Sophia Antipolis , affiliated with the Marelle Team . His work focuses on compilers , formal verification , cryptography , proof assistants , and type theory . Education : PhD in Computer Science, Université Paris 7 (2003) Research Interests : Dr. Gregoire specializes in formal verification of cryptographic systems, compiler design for security-critical applications, type-based termination, and proof assistants like Coq. His projects include the INRIA-Microsoft Research Joint Lab , ANR Scalp (Security of Cryptographic Algorithms with Probabilities), and ANR DeCert (Certified Decision Procedures). He led the Mobius project (IP FET) and contributed to Java security validation via the JACK tool . Scientific Awards : He received the Best Paper Award at CRYPTO 2011 for 'Computer-Aided Security Proofs for the Working Cryptographer.' Advising & Collaborations : Dr. Gregoire has advised PhD students Michael Armand , Julien Charles , Sylvain Heraud , and Jorge-Luis Sacchini , with former advisee Cesar Kunz . He collaborates with teams including Marelle and INRIA-Microsoft Research .

• Computer Networks
• Wireless Communication
• Reconfigurable Intelligent Surfaces (RIS)
• +4 more

Christos Liaskos is an Assistant Professor at the Department of Computer Science and Engineering, University of Ioannina (UoI), Greece. He is also a researcher at the Foundation for Research and Technology-Hellas (FORTH). His expertise spans computer networks, wireless communication systems, and nanotechnology, with a focus on reconfigurable intelligent surfaces (RIS), metasurfaces, and their applications in 6G, IoT, and autonomous systems. He holds a PhD in Computer Networking from Aristotle University of Thessaloniki (AUTH) and has published extensively in IEEE venues. Education: Diploma in Electrical and Computer Engineering (AUTH, 2004) MSc in Medical Informatics (AUTH Medical School, 2008) PhD in Computer Networking (AUTH Informatics Department, 2014) Research Interests: Programmable wireless environments using software-defined metasurfaces RIS-assisted architectures for 5G/6G networks IoT and UAV communication systems Energy-efficient trajectory design for drones Beam steering and wavefront control in mmWave systems His recent work explores applications like RIS-based autonomous driving, optical wireless positioning, and fault-tolerant routing in metasurface networks. He contributes to open-source simulation frameworks (e.g., Cooperis) and collaborates on EU projects like VISORSURF, advancing the Internet-of-Materials concept.

Eduard GröllerView profile

Professor

• Visual Computing
• Scientific Visualization
• Volume Visualization
• +5 more

Eduard Gröller is a Full Professor of Visualization at the Vienna University of Technology (TU Wien), leading the Research Unit of Computer Graphics and the Visualization Group within the Institute of Visual Computing & Human-Centered Technology (VC&HCT). He holds adjunct professorships at the University of Bergen, Norway, and chairs several academic committees. His academic journey began with a PhD in 1993 from TU Wien, followed by extensive contributions to visualization research. His research focuses on visual computing, scientific visualization, and medical imaging, with applications in energy modeling, climate analysis, and molecular biology. Gröller has pioneered methods like BEMTrace for BIM-based energy models and HORA 3D for flood risk visualization. He co-authored over 300 publications, including foundational work in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum . Gröller's awards include the IEEE VGTC Technical Achievement Award (2019), Eurographics 2015 Outstanding Technical Contributions Award, and Fellow of the Eurographics Association (2009). He actively contributes to conferences like EuroVis and IEEE Visualization as program chair and reviewer. His educational efforts span courses in visual computing, graphics, and data analysis, with a focus on immersive tools like ImNDT for material data exploration. Current projects include Climate-Sensitive Adaptive Planning for Resilient Cities, Visual Analytics in Radiation Therapy, and scalable web-based visualization techniques. He leads teams in VRVis, a research center for applied visualization, and collaborates internationally on medical imaging and environmental data challenges.

Peter WolfView profile

Lecturer

• Robot-aided motor learning
• Sports engineering
• Biomechanics
• +3 more

Dr. Peter Wolf is a Lecturer at the Department of Health Sciences and Technology (D-HEST) at ETH Zurich. His research focuses on robot-aided motor learning and sports engineering, particularly exploring concurrent feedback strategies for efficient motor task learning and applications in rowing and climbing. He advises students in the Medical Technology and Human Movement Science & Sport majors, emphasizing interdisciplinary approaches combining biomechanics, mechatronics, and coding. His research group develops tools to support athletes and rehabilitation patients, with a focus on exosuits, exoskeletons, and robotic feedback systems. Notable projects include optimizing gait parameters for adolescents with crouch gait and enhancing wearable robotic systems for daily mobility support. Dr. Wolf also contributes to curriculum design, recommending courses like Biomedical Engineering, Neural Control of Movement, and Machine Learning for Healthcare. His work bridges biomechanical analysis, robotics, and clinical applications, with recent innovations in vestibular stimulation for sleep disorders and thermal stress monitoring for occupational workers. Collaborations span sports science, rehabilitation engineering, and human-robot interaction, reflecting his commitment to applied and interdisciplinary research.

• Laser Scanning
• Point Cloud Processing
• Geospatial Information Systems
• +3 more

Tamás Lovas serves as Associate Professor at the Department of Photogrammetry and Geoinformatics, Faculty of Civil Engineering, Budapest University of Technology and Economics. He teaches advanced courses in Building Information Modeling, Laser Scanning, Remote Sensing, and Intelligent Transportation Systems while supervising diploma theses in Surveying and Geoinformatics Engineering. Education: 1994: High school graduation, Városmajor High School, Budapest 1999: Certified Surveyor and Geoinformatics Engineer, Budapest University of Technology, Faculty of Civil Engineering 2005: PhD (Earth Sciences), Budapest University of Technology and Economics, Faculty of Civil Engineering Research Interests: Dr. Lovas specializes in laser scanning technologies and geospatial data processing with emphasis on airborne and terrestrial point cloud analysis. His work bridges civil engineering applications and computational methods, particularly in infrastructure monitoring and digital representation. Processing, classification, and modeling of airborne laser scanned data Accuracy testing of terrestrial laser scanning Processing and modeling of terrestrial laser scanned data Comparative study of spatial data acquisition technologies His 2022-2025 publications demonstrate accelerating integration of artificial intelligence in point cloud processing, with significant contributions to road surface extraction, urban land cover classification, and BIM automation. Current research trends show strong focus on digital twin development for autonomous vehicles and infrastructure management. Scientific Awards: Republic Scholarship (1998-1999) Karlsruhe Chancellor's Scholarship (1999) ERASMUS scholarship (2000) Korányi Fellowship (2001-2002) János Bolyai Research Scholarship (2008-2011) OHV 1st place (2008) Dean's commendation for ERASMUS committee work (2014) For Students Award - Teaching Department (2017) Advising and Grants: Dr. Lovas mentors students through diploma theses and TDK research projects on topics including object survey with amateur sensors and hull modeling. His research funding includes the prestigious János Bolyai Research Scholarship and international fellowships supporting collaborations with institutions like The Ohio State University. Labs and Teams: As founding member and supervisory board member of the Hungarian BIM Association, he drives industry-academia collaboration. His leadership roles include Deputy Dean of Education at the Faculty of Civil Engineering and responsibility for English language training programs, facilitating international academic exchange.

Vincent BARRAView profile

Professor

• Data Analysis
• Image Processing
• Video Processing
• +6 more

Vincent BARRA is a full professor in Computer Science at the LIMOS lab of Clermont-Auvergne University and CNRS. He serves as Vice dean of Clermont-Auvergne-INP (education and training), Assistant director of LIMOS, and Artificial Intelligence Special Advisor for Clermont-Auvergne University. He is also a member of the scientific board and Executive committee of MIAI Cluster. His academic work is primarily conducted through ISIMA, the engineering school in computer science of Clermont-Auvergne INP. Professor BARRA's research focuses on data analysis from both methodological and applicative perspectives. His work spans image and video processing, mesh processing, computational geometry, and machine/deep learning techniques. His interdisciplinary research connects computer science with applications in medical imaging, geothermal systems, polymer dynamics, mental health diagnostics, semiconductor manufacturing, and environmental monitoring. His publications demonstrate consistent innovation in developing algorithms for segmentation, feature extraction, and pattern recognition across diverse domains. The analysis of his recent publications reveals strong trends toward deep learning applications in specialized domains. His work shows increasing focus on medical applications (depression diagnosis, preterm birth prediction), geoscience (geothermal systems analysis), and industrial applications (semiconductor metrology, structural health monitoring). A consistent theme across his research is the development of robust, domain-specific deep learning architectures that address unique challenges in data analysis across different scientific fields. Professor BARRA maintains active collaborations across multiple institutions and disciplines, as evidenced by his extensive co-authorship network. His work bridges theoretical computer science with practical applications in diverse fields, demonstrating a commitment to solving real-world problems through innovative computational approaches. He leads research within the LIMOS laboratory, which focuses on computer science, modeling, and systems optimization.

Thijs RoumenView profile

Assistant Professor

• Digital Fabrication
• Human-Computer Interaction (HCI)
• Laser Cutting
• +3 more

Thijs Roumen is an Assistant Professor at Cornell Tech within the Department of Information Science . He leads the Matter of Tech Lab , focusing on Digital Fabrication and Human-Computer Interaction (HCI) . His work aims to democratize fabrication technology for non-industrial users. PhD from Hasso Plattner Institute MSc in IT Product Design from University of Southern Denmark BSc in Industrial Design from Eindhoven University Research interests include: Laser cutting portability 3D modeling tools Fabrication error prevention Accessible haptic interfaces Recent publications address asynchronous hardware troubleshooting (SplatOverflow, CHI'25), medical robotics (HRI'25), and fabrication artifact data storage (StructCode, SCF'23). His work has received multiple Best Paper Honorable Mentions at CHI and UIST conferences. Scientific contributions include: Key role in CHI meta (2018-present) Chair of German Networking Events at CHI Subcommittee leadership in DIS, CHI, and UIST Active in lab collaborations and invited talks at institutions like Stanford, MIT, and University of Tokyo. Also a World Major Marathon Finisher (Chicago 2023, Berlin 2019).