جست‌وجوی استاد و پژوهشگر

• Aerospace Design
• Aerospace Systems
• Nanosatellites
• +۶ مورد دیگر

Sabrina Corpino is a Full Professor in the Department of Mechanical and Aerospace Engineering at the Polytechnic University of Turin. She serves as a Member of the PhotoNext Interdepartmental Center for Applied Photonics and holds scientific advisory roles with the Partnership Agreement with ALTEC, the International Astronautical Federation (IAF), and NEREUS. Research Interests: Aerospace design, systems engineering, CubeSat missions, and space propulsion. Key Projects: Scientific Manager for PNRR NODES Spoke 1, SINAV, Hera Mission Phase B/C/D/E1, and RAMSES CubeSat-1 Development. Teaching: Lecturer for 'Aerospace Systems' in multiple academic years and collaborator in interdisciplinary courses. Students: Supervises PhD candidates including Nicola Di Gruttola Giardino, Serena Campioli, and Antonio D'Ortona. Awards: Recipient of the 2018 ICAS Casimiro Montenegro Filho Award for Innovation in Aeronautics.

Christoph Lüthمشاهده پروفایل

استاد

• Advanced Systems Engineering
• Program Correctness
• Formal Methods
• +۵ مورد دیگر

Christoph Lüth is a Professor of Computer Science at the University of Bremen and Deputy Head of the Cyber-Physical Systems research group at the German Research Center for Artificial Intelligence (DFKI) in Bremen. He has been affiliated with DFKI since 2006 and focuses on constructing provably correct software through theoretical foundations and practical tool development. Doctorate from University of Edinburgh Habilitation from University of Bremen His research spans advanced systems engineering , formal methods , and functional programming , with applications in robotics and hardware security. Recent work emphasizes open-source chip design , post-quantum cryptography , and memory protection for RISC-V architectures . Lüth contributes to projects like PROTECT (cybersecurity resilience), EASEPROFIT (post-quantum secure protocols), DI-OCDCPro (open-source chip design education), and SIGN-HEP (hardware security modules). He has authored over eighty scientific papers. At the University of Bremen, he teaches courses on functional programming , programming languages , and formal methods .

Szymon Cyganمشاهده پروفایل

استادیار

• Strain Imaging Methods for Echocardiography
• Ultrasonic Imaging
• Biomedical Engineering
• +۵ مورد دیگر

Szymon Cygan, PhD, is an Assistant Professor and Deputy Dean for Students Affairs and Promotion at the Institute of Metrology and Biomedical Engineering , part of the Faculty of Mechatronics at Warsaw University of Technology. His work focuses on strain imaging methods for echocardiography, ultrasonic imaging, and biomedical engineering applications. Education: M.Sc. (2003) in Automatics and Robotics with Biocybernetics and Biomedical Engineering specialization; Ph.D. (2011) on displacements and strain estimation for ultrasonic strain imaging. Research: Specializes in speckle tracking echocardiography, left ventricular phantom modeling, finite element simulations, and validation of strain estimation algorithms using synthetic and physical models. Awards: No specific scientific awards explicitly mentioned. Projects: Involved in 2 projects, including development of low-cost gait analysis systems and synthetic cardiac phantom validation. Labs: Part of Krzysztof Kaluzynski's Lab, focusing on biomedical engineering and cardiac imaging.

Damien Coyleمشاهده پروفایل

استاد

• Computational Intelligence
• Artificial Intelligence
• Bio-signal Processing
• +۴ مورد دیگر

Professor Damien Coyle is a leading academic at Ulster University , holding the title of Professor of Neurotechnology and serving as Director of the Intelligent Systems Research Centre (2017-2022) and Research Director in the School of Computing, Engineering and Intelligent Systems. He also leads the Cognitive Analytics Research Laboratory (CARL) and directs Ulster’s Spatial Computing and Neurotechnology Innovation Hub (SCANi-hub) . His research focuses on AI-driven brain-computer interface (BCI) development , translating electrophysiological signals into control signals for applications in rehabilitation, diagnostics, assistive communication, and entertainment. With over 190 publications and an h-index of 31, he pioneered wearable neurotechnology through his spinout company NeuroCONCISE Ltd (founded 2016). 2008 IEEE CIS Outstanding Doctoral Dissertation Award 2011 INNS Young Investigator of the Year 2018 IET Innovation Award Over £18m in external grants Co-investigator for Northern Ireland Functional Brain Mapping Facility As a IEEE Senior Member and founder of the International Brain-Computer Interface Society , he bridges academic research with industrial applications through projects like AI for Intelligent Neurotechnology and Smart Nano-Manufacturing Corridor .

• Data management and data science
• Artificial intelligence
• Distributed computing and systems software
• +۶ مورد دیگر

Thomas C Henderson is a tenured Professor at the School of Computing within the College of Engineering at the University of Utah. His research focuses on autonomous systems , computational models , and intelligent machine systems , with specific interests in biosystem simulation, distributed systems, and adaptive algorithms. He has contributed to Bayesian sensor networks , UAS traffic management , and probabilistic logic frameworks for intelligent agents. Current academic appointments since 1989 Adjunct roles in Biomedical Engineering Active in IEEE committees (2024-2025) Research trends in recent publications emphasize autonomous aircraft coordination , probabilistic reasoning , and multi-sensor integration . Key subfields include lane-based airspace modeling, reinforcement learning for UAS, and pseudogradient navigation techniques. His work has received recognition through a Best Paper Award (IEEE 2008) and the US Air Force Summer Faculty Fellowship . Strategic deconfliction protocols Dynamic data-driven applications Structural health monitoring systems He actively mentors undergraduate research through courses like Deep Learning Capstone and Senior Capstone Design . Current grants include "Deep Learning in AI and Robotics" (2024-2029) and "Robust Reasoning using Geometric SAT/PSAT" (2022-2023).

Arvin Agahمشاهده پروفایل

استاد

• Biomedical Robots
• Applied Artificial Intelligence
• Biomechanics & Neural Engineering
• +۲ مورد دیگر

Arvin Agah is a Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. His research spans biomedical robots, applied artificial intelligence, and interdisciplinary applications in behavior navigation systems, human-robot interaction, and computational creativity. Research interests include: Biomedical Robotics for rehabilitation and diagnostics Augmented/Virtual/Mixed Reality in remote assistance Deep Learning for image processing and healthcare Multi-agent communication strategies Evolutionary approaches to digital art and navigation His publications from 2016-2023 reveal a trajectory from foundational work in skin/face detection to advanced VR/AR systems and sociorobotics. Key trends: AI-driven healthcare solutions, immersive interface design, and agent-based collaboration models. Professional activities include: Teaching Agile software development Leadership in robotics competitions for education Development of polar exploration robotics Contact: agah@eecs.ku.edu

Dimitrios Apostolopoulosمشاهده پروفایل

استادیار

• Optical Communication Systems
• Optical Wireless Technologies
• Converged Optical-Wireless Networks
• +۲ مورد دیگر

Dimitrios Apostolopoulos serves as Assistant Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), within the Division of Information Transmission Systems and Material Technology. His academic foundation was built at NTUA where he earned both Diploma (2004) and Ph.D. (2009) degrees, followed by an MBA from Hellenic Open University. His educational qualifications include: Diploma in Electrical and Computer Engineering, NTUA (2004) Ph.D. in Electrical and Computer Engineering, NTUA (2009) MBA, Hellenic Open University Prof. Apostolopoulos specializes in optical communication systems, optical wireless technologies, and converged optical-wireless networks, with particular expertise in photonic integrated circuits for telecom/datacom/sensing applications and optical computing for AI. His research directly addresses next-generation network challenges through photonic innovation, bridging theoretical frameworks with practical engineering solutions for 5G/B5G/6G systems. Analysis of his 2024-2025 publications reveals dominant themes in 6G hybrid transport architectures (fiber/FSO/mmWave), silicon photonics for aerospace environmental sensing, and integrated optical components for Lidar/gas detection systems. This work demonstrates consistent progression from fundamental photonic research to real-world deployment scenarios. His scientific recognition includes: Dimitris N. Chorafas Foundation Award (2009) for doctoral contributions to all-optical broadband communications Prof. Apostolopoulos actively leads over 15 European/national research projects while serving on technical committees for ECOC, IEEE GLOBECOM, and N&N conferences. As co-chair of EuCNC/6G Summit's Wireless/Optical/Satellite Networks track, he shapes next-gen network standards. His teaching portfolio spans undergraduate telecommunications courses from circuit analysis to optical network design. He maintains active collaboration within photonic research teams through projects like Int5Gent and Int5gent, focusing on integrated solutions for communications infrastructure and sensing applications across aerospace and environmental monitoring domains.

Aydin Nassehiمشاهده پروفایل

استاد

• Smart Manufacturing Systems
• Agent-Based Manufacturing Planning and Control
• Artificial Intelligence in Manufacturing
• +۳ مورد دیگر

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.

Jun Wuمشاهده پروفایل

پژوهشگر

• Vibration and Dynamics
• Medical Image Segmentation
• Surgical Artificial Intelligence
• +۳ مورد دیگر

Dr. Jun Wu is a Postdoctoral Research Assistant at the Department of Biology, University of Oxford, where he conducts research in the Animal Vibration Lab. Previously, he served as a research associate in the Department of Aerospace Engineering at the University of Bristol. His academic credentials include: PhD in Sound and Vibration Research from the University of Southampton Dr. Wu's research bridges vibration dynamics and biomedical engineering, with current work developing engineering technologies inspired by biological dynamic systems. His publication record reveals a significant pivot toward medical artificial intelligence since 2023, with dominant contributions in surgical vision-language models and medical image segmentation. This dual expertise enables unique cross-pollination between biological vibration principles and clinical AI applications. Analysis of his 2023-2025 publications shows concentrated innovation in adapting foundation models like Segment Anything Model (SAM) for medical contexts. Key advances address uncertainty quantification in segmentation, human-in-the-loop refinement systems, multi-modal diagnostic reasoning, and real-time surgical video analysis. These works consistently target clinical deployment challenges including safety verification, computational efficiency, and human-AI collaboration. Professional recognition includes: Associate Fellow of the Higher Education Academy (AFHEA) Member of the Royal Aeronautical Society (MRAeS) As a core member of Oxford's Animal Vibration Lab, Dr. Wu contributes to research investigating biological dynamic systems for engineering innovation while leading medical AI initiatives that translate these principles into surgical and diagnostic technologies.

• Additive Manufacturing in Construction
• Building Information Modeling (BIM)
• Digital Twinning
• +۳ مورد دیگر

Martin Slepicka is a researcher at the Chair of Computing in Civil and Building Engineering at the Technical University of Munich. His work focuses on bridging Building Information Modeling (BIM) with additive manufacturing and digital twinning technologies. Department: Civil and Building Engineering Research Group: Digital Twinning, Construction Robotics Research Highlights: Slepicka specializes in: Integrating BIM with digital fabrication workflows Developing closed-loop systems for additive manufacturing Real-time data exchange in construction robotics Automated parameter calibration using machine learning Semantic enrichment of BIM through multi-sensor platforms Academic Contributions: Recent publications demonstrate expertise in: Extrusion-based additive manufacturing control Non-planar path planning for 3D-printed components Autonomous robot grasping solutions From fabrication models to simulation frameworks Laboratories: Active in: BIM-Lab Robotic Fabrication Lab Mobile Machinery development

Balázs Nagyمشاهده پروفایل

دانشیار

• Robotics
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Dr. Balázs Nagy serves as an Associate Professor and Head of the Department of Medieval History within the Faculty of Humanities at Eötvös Loránd University (ELTE) in Budapest, Hungary. His academic profile uniquely bridges historical scholarship and advanced engineering disciplines, maintaining an active research agenda across both domains from his office at 1088 Budapest, Múzeum körút 6–8. His primary research interests span Robotics , Artificial Intelligence , Machine Learning , and Ethorobotics , alongside History and Medieval Studies . This interdisciplinary focus manifests in work on deep learning for telerobotic control, evolutionary algorithms for robot navigation, and ethologically inspired behavior systems, often integrating sensor technologies like MARG for movement analysis. Analysis of his 2016-2025 publications reveals a consistent trajectory in computational intelligence applied to robotics, with increasing emphasis on deep learning (2022-2025) and ethorobotics. His work demonstrates strong methodological continuity in sensor fusion and behavior modeling, while showing evolving applications from mobile navigation to biological behavior analysis.

• Software Engineering
• Formal Methods
• Software Architectures
• +۷ مورد دیگر

Patrizia Scandurra is an Associate Professor at the Department of Management, Information and Production Engineering, University of Bergamo, Italy. Her academic appointment in Computer Science (01/B1) spans from 2022 to 2033. She previously held roles as a researcher at the University of Bergamo (2009-2017) and postdoctoral fellow at the University of Milan (2006-2008). She earned her PhD in Computer Science (2006) and Bachelor's degree (2002) from the University of Catania. Research Focus : Software architectures and formal methods for modeling, validation, and verification of software-intensive systems. Specializations : Runtime analysis of self-adaptive, autonomous, and uncertain systems including IoT-Edge-Cloud applications, embedded systems, and system-on-chip. Collaborations : STMicroelectronics, Atego, Bialetti, and ENEA. Conference Involvement : Program/organizing committees for ICSE, ASE, ISSRE, ICSA, ECSA, SEAMS@ICSE, ABZ, SA-TTA@SAC, FAACS@ECSA. Research Projects : Model-driven development for robotics, adaptive architectures for pervasive systems, big data in smart cities, and digital twins for medical systems. Notable Contributions : Development of the ASMETA formal method community tools and frameworks for rigorous system design. She has published over 100 peer-reviewed works in international journals and conferences.

Ruzica Piskacمشاهده پروفایل

استاد

• Software Verification
• Security and Applied Cryptography
• Automated Reasoning
• +۴ مورد دیگر

Ruzica Piskac is a Professor of Computer Science at Yale University, where she leads the Rigorous Software Engineering (ROSE) group. She has made significant contributions to the fields of software verification, security, automated reasoning, and code synthesis, focusing on improving software reliability and trustworthiness through formal techniques. Dr. Piskac received her PhD from the Swiss Federal Institute of Technology (EPFL) in 2011, where her dissertation won the Patrick Denantes Prize. Prior to joining Yale, she led an independent research group at the Max Planck Institute for Software Systems in Germany (2012-2013). Her research spans several key areas: symbolic execution for Haskell (G2), privacy-preserving formal methods (PPFM), functional reactive synthesis, verification of configuration files, and analysis of software updates. Her work consistently bridges theoretical formal methods with practical applications in real-world systems. Dr. Piskac's recent publications demonstrate a strong trend toward applying formal verification techniques to emerging challenges including large language models, quantum computing security, legal accountability of automated systems, and cyber-physical systems. Her research increasingly intersects with AI, cryptography, and legal domains while maintaining strong foundations in formal methods. Her scientific achievements have been recognized with numerous prestigious awards: Multiple Amazon Research Awards Yale University's Ackerman Award for Teaching and Mentoring Facebook Communications and Networking Award Microsoft Research Award for the Software Engineering Innovation Foundation (SEIF) Patrick Denantes Prize for her PhD dissertation Dr. Piskac has graduated five PhD students, four of whom have gone on to become assistant professors of computer science. She has served as Program Chair of the 37th International Conference on Computer Aided Verification and is on the Steering Committee of the Formal Methods in Computer-Aided Design conference. She leads the Rigorous Software Engineering (ROSE) group at Yale, which focuses on several key projects including: Symbolic Execution Engine for Haskell (G2) Privacy Preserving Formal Methods (PPFM) Functional Reactive Synthesis Verifications for Configuration Files Analysis of Software Updates and Configuration Files

David Fonseca Escuderoمشاهده پروفایل

استاد

• Artificial Intelligence
• Learning Analytics
• Educational Data Mining
• +۷ مورد دیگر

David Fonseca Escudero is a Professor at the La Salle Technical School of Architecture within Ramon Llull University . His research focuses on Artificial Intelligence , Learning Analytics , and Generative AI in education, particularly addressing Self-Regulated Learning and Early Dropout Prevention in higher education. Lead researcher in projects like IA3T4DOR (AI & Machine Learning for dropout reduction) PI for ASPA4DOR (Academic Analytics for student profiling) Collaborator in Divintech (Robotics for autism support) His work integrates Augmented Reality and STEAM Education to enhance Student Engagement and Data Privacy in schools. Current projects emphasize GDPR Compliance and Collaborative Learning frameworks.

• Mechanical Engineering
• Artificial Intelligence
• Tribology
• +۳ مورد دیگر

Hassan Shirvani is a Professor of Engineering Design and Simulation at the School of Engineering and the Built Environment, Anglia Ruskin University. He serves as Director of the Engineering Analysis Simulation and Tribology (EAST) Research Group, focusing on industry collaborations to solve engineering challenges. PhD in Mechanical Engineering, University of Bath MSc in Mechanical Engineering, University of Birmingham Member, Institute of Mechanical Engineers (IMechE) His research spans mechanical engineering, artificial intelligence, and biomedical applications, including: Thermal system optimization Machine learning in clinical decision-making Composite metal foil manufacturing Virtual reality medical training systems Flow dynamics in heat exchangers and nozzles AI-assisted diagnostics Hybrid manufacturing processes Hassan's publications reflect expertise in computational modeling, multi-physics simulations, and industrial applications. Notable areas include deep learning for suicide prediction, thermodynamic analysis of sustainable energy systems, and tribology in mechanical components.