جستجوی استاد راهنمای دانشگاهی

Kenny Moormanمشاهده پروفایل

استاد

• Computer Science
• Artificial Intelligence
• Robotics
• +۴ مورد دیگر

Roles and Affiliations: Professor of Computer Science at Transylvania University since 1997. Member of the College of Arts and Sciences, leading courses in AI, robotics, operating systems, and game design. Active in academic competition through TACC (Transylvania Academic Competition Club). Education: B.A. in Computer Science and Mathematics from Transylvania University (1991), M.S. (1996) and Ph.D. in Cognitive Science (1997) from Georgia Institute of Technology. Research Interests: Focus on creative understanding, computational modeling of sensory systems (e.g., auditory processing), AI ethics, and interdisciplinary education. Explores intersections between technology and humanities, such as science fiction analysis and comic book culture. Advocates for hands-on learning and research opportunities for undergraduates. Publications and Awards: Notable works include studies on AI in literature and robotics education. Honored with the Bingham Award for Teaching Excellence and Fannie and John Hertz Fellowship. Recognized in the Lulu Technology Circus for academic contributions. Academic Teams: Founded and advises TACC, a competitive academic team active in national competitions. Mentored over 20 students in robotics and AI projects, including SLAM navigation systems and chip architecture innovations.

Steffen Zschalerمشاهده پروفایل

دانشیار

• Model-Driven Engineering
• Principled Simulation
• Digital Twins
• +۵ مورد دیگر

Dr. Steffen Zschaler is a Reader in Software Engineering at King's College London's Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences. He serves as Co-Lead of the DT4Health Centre for Doctoral Training and directs the MDENet expert network for Model-Driven Engineering. His roles include membership in the Computing Education Research Centre (CERC) and collaboration with the Francis Crick Institute as a Visiting Scientist. Education & Background: Holds a PhD (summa cum laude) from TU Dresden and was a Marie-Curie Fellow at Lancaster University. Research interests focus on model-driven development, digital twins, domain-specific languages, and computing education. Research Interests: Specializes in principled simulation methodologies, modular system design, and education tools for software engineering. His work bridges academic research with practical applications in healthcare systems and interdisciplinary collaboration. Key areas include: Model-Driven Engineering frameworks for complex systems Simulation validation and dialectic models Educational platforms for MDE (e.g., MDENet) Recent Contributions: Recent work explores dialectic models for simulation studies, digital twin integration, and consistency-preserving configuration tools. His publications span conferences like Winter Simulation Conference and journals such as IEEE Transactions on Software Engineering. Awards & Recognition: Elected to the Academy of Higher Education (AHEA) in 2011 and recipient of the Marie-Curie Fellowship (2009). Labs & Collaborations: Leads the Software Systems (SSY) group and collaborates on initiatives like DT4Health, focusing on digital twin applications in healthcare. Active in international workshops (e.g., Model-Driven Engineering Intelligence).

Lorenzo Rossiمشاهده پروفایل

استادیار

• Process Mining
• Robotics
• Business Process Management (BPM)
• +۵ مورد دیگر

Lorenzo Rossi is an Assistant Professor specializing in the intersection of process mining, robotics, and business process management (BPM). His research focuses on advancing methodologies for analyzing robotic systems, IoT environments, and collaborative processes through formal models like BPMN. Key areas include process discovery, digital twins, and system resilience in smart environments. Expertise: Process Mining, Multi-Robot Systems, BPMN Semantics, Cyber-Physical Systems Key Tools: BEAR (BPMN animator), MIDA (multi-instance animator), UBBA (Unity-based BPMN animator) His work emphasizes reproducibility and practical frameworks for rapid prototyping. Recent trends in his articles highlight the integration of process mining with robotics for data-driven decision-making, as well as formal verification of BPMN collaborations to ensure system correctness. Awards: None explicitly mentioned in the provided texts. Advising & Grants: No student/advisor relationships or grant details documented here. Labs/Teams: Collaboration with Unity-based simulation tools (UBBA, MIDA) and serious game platforms (PlayWithUnicam).

Thomas Bourgeatمشاهده پروفایل

استادیار

• Computer Architecture
• Programming Languages
• Hardware Verification
• +۳ مورد دیگر

Thomas Bourgeat is an Assistant Professor at EPFL, starting May 2023. He completed his PhD at MIT under the guidance of Arvind (CSG) and Adam Chlipala (PLV), focusing on the intersection of computer architecture and programming languages. PhD in Computer Science at MIT His research focuses on leveraging high-level hardware programming languages to design and verify hardware, particularly through theorem proving. He also explores security implications of microarchitectural features and domain-specific accelerators. Recent publications highlight trends in hardware security, domain-specific accelerators, and formal verification. His work includes projects like riscy-OOO and formal RISC-V specifications. Thomas actively recruits PhD students and postdocs. Prospective applicants can find details at EPFL's EDIC program .

• Medical Information Systems
• IoT for Healthcare
• Software Development Methodologies
• +۳ مورد دیگر

Dragan Jankovic is a prominent researcher at the University of Niš, Faculty of Electronic Engineering , Department of Computer Science and Informatics. His work spans multiple disciplines with a focus on Medical Information Systems , IoT for Healthcare , and Multi-Valued Logic applications. Collaborating extensively with researchers like Petar Rajkovic and Aleksandar Milenkovic, Jankovic has contributed to the evolution of resource-aware systems, software development methodologies, and digital logic optimization.

Euan Lindsayمشاهده پروفایل

استاد

• Engineering Education
• Problem-Based Learning
• Artificial Intelligence in Education
• +۴ مورد دیگر

Euan Lindsay serves as Professor in the Department of Sustainability and Planning within Aalborg University's Technical Faculty of IT and Design. He maintains dual institutional affiliations through the Aalborg Center for Problem Based Learning in Engineering Science and Sustainability and the AI for the People Institute for Advanced Study in PBL. His work bridges sustainability planning with cutting-edge educational technology applications. Research interests center on Engineering Education and Problem-Based Learning methodologies, with significant recent focus on Generative AI applications in educational contexts. Current projects explore digital twins for feedback systems, large language model implementations for course evaluations, and microcredential frameworks supporting sustainable engineering education. His scholarship demonstrates consistent evolution from traditional engineering pedagogy toward AI-integrated learning ecosystems. Analysis of recent publications reveals three dominant trajectories: (1) Ethical implementation of generative AI in educational feedback systems, (2) Institutional change management for academic innovation, and (3) Microcredential development for sustainable engineering competencies. The Digital Twins project funded by The Villum Foundation represents his most significant current research initiative. Lindsay actively contributes to educational innovation through ongoing projects including the Digital Twins for Abundant Feedback initiative (2024-2025). His publication record shows sustained output with 85+ publications through 2025, demonstrating continuous scholarly engagement. While no formal awards are documented in the source material, his leadership in major research projects indicates significant professional recognition within engineering education circles. As principal investigator on multiple large-scale projects, Lindsay directs research teams developing novel AI applications for educational feedback systems. His work through the Aalborg Center for Problem Based Learning establishes him as a key figure in sustainability-focused engineering education reform, particularly in Scandinavian and European contexts.

Adrian Castellمشاهده پروفایل

مدرس ارشد

• Management Development Education
• MBA Education
• Human-Computer Interaction
• +۲ مورد دیگر

Adrian Castell is a Senior Lecturer and Assistant Head of the Department of Management at Nottingham Business School, Nottingham Trent University. His dual roles include serving as Programme Leader for the MSc in Management where he has overseen program growth from 20 to 120+ students annually across a decade, facilitating over 1000 postgraduate degrees, and as departmental administrator handling workload planning, timetabling, and faculty development. Research Focus: Management Development Education with specialization in MBA program design and evaluation Human-Computer Interaction foundations applied to organizational systems Leadership frameworks in institutional decision-making processes Systems thinking in educational and business environments Publication Trends: Adrian's scholarly output demonstrates consistent focus on systems design and management education across three decades. Early work (1992-1999) emphasizes information systems architecture and design cognition, while later contributions (2011-present) transition toward pedagogical frameworks in management education. Recurring themes include decision support systems, participatory design methodologies, and statistical applications in business contexts. External Engagement: Serves as MBA External Examiner at University of Salford (current) and University of the West of Scotland (previous) Validation Board member for MBA programs at Manchester Metropolitan University, Sheffield Hallam University, Birmingham City University, and Polish Open University International teaching experience through ITESM Mexico summer schools Postgraduate recruitment initiatives in India

Anil Yildizمشاهده پروفایل

پژوهشگر

• Geohazards
• Computational Engineering
• Landslide Modeling
• +۷ مورد دیگر

Dr. Anil Yildiz is a senior researcher and Deputy Director at the Chair of Methods for Model-based Development in Computational Engineering (MBD), RWTH Aachen University, Germany. He leads the research group Engineering Climate Change Response and is actively involved in computational modeling of geohazards and climate-responsive engineering systems. PhD in Civil Engineering, ETH Zurich (2018) M.Sc. in Civil Engineering, Bogazici University (2013) B.Sc. in Civil Engineering, Bogazici University (2010) Dr. Yildiz's research centers on geohazards , particularly shallow landslides , soil-plant-atmosphere interactions , and computational modeling . He is deeply committed to reproducible workflows , data-integrated modeling , executable publications , and FAIR data principles . His work integrates machine learning , uncertainty quantification , and surrogate modeling to improve the reliability and efficiency of geohazard simulations. His recent publications (2023–2025) emphasize FAIR data practices , reproducible workflows , and uncertainty-aware modeling in landslide and sea ice research. Key themes include modular frameworks , data reuse , and executable scientific publications , reflecting a strong trend toward open, transparent, and computationally rigorous geoscience. Scientific awards and recognitions include: IDEA League Fellowship (2024) Culmann Prize, ETH Zurich (2019) Outstanding Doctoral Thesis in Civil Engineering (2018) Roland Schlich Early Career Scientist's Travel Support, EGU Dr. Yildiz has been involved in significant research projects, including work on green infrastructure and ground heat exchange at the National Green Infrastructure Facility (UK), and has contributed to interdisciplinary collaborations involving geotechnical engineering , climate modeling , and infrastructure resilience . He has not formally listed advisees, but his collaborative publications suggest active mentorship and team leadership. His research group focuses on developing reliable, data-driven models for climate-related geohazards. He has been affiliated with leading institutions including ETH Zurich, Newcastle University, University of Göttingen, and RWTH Aachen University, demonstrating a strong international research trajectory.

• Formal Methods
• Hybrid Systems
• Probabilistic Systems
• +۱۰ مورد دیگر

Erika Ábrahám is a University Professor in the Department of Computer Science at RWTH Aachen University, Germany, where she leads the research group on the Theory of Hybrid Systems. Her work is centered on formal methods for cyber-physical systems, with a strong focus on hybrid and probabilistic systems, SMT solving, and symbolic computation. Her research interests include Formal Methods, Hybrid Systems, Probabilistic Systems, Satisfiability Modulo Theories (SMT), Symbolic Computation, Cyber-Physical Systems, Model Checking, Reachability Analysis, Automated Reasoning, Verification of Safety-Critical Systems, Robotics, Energy Optimization, and Artificial Intelligence . She develops theoretical foundations and practical tools for the analysis and verification of complex systems, especially in safety-critical domains like automotive and robotics. Her recent publications demonstrate a consistent focus on advancing SMT solving techniques, particularly in real algebra and cylindrical algebraic decomposition, and on analyzing probabilistic hybrid systems, including reachability and hyperproperties. She frequently contributes to and organizes major conferences and workshops in her field. Scientific Awards: No specific awards were mentioned in the provided text. Erika Ábrahám actively supervises students and researchers, with advisees including Jasper Kurt Ferdinand Nalbach, Valentin Maxim Promies, Stefan Schupp, and others. She has been involved in projects related to railway timetables, energy load control, and AI-based robotics. She also contributes to academic service through editing conference proceedings and promoting gender equality in software engineering. She is a key contributor to the HyPro library for hybrid systems reachability analysis and continues to publish in top venues such as LNCS, Springer, and Elsevier journals. Her recent work spans from core theoretical advances in SMT to applied research in sonar object detection and robotics.

Ruaridh Clarkمشاهده پروفایل

دانشگاهی

• Signal Processing
• Biomedical Engineering
• Wearable Sensors
• +۵ مورد دیگر

Ruaridh Clark is a Senior Research Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde, United Kingdom. He is actively engaged in research, supervising PhD students, and contributing to multiple funded projects in biomedical signal processing and neurotechnology. His research interests lie at the intersection of biomedical engineering, signal processing, and human-computer interaction, with a strong focus on EEG-based systems, wearable sensors, and real-time health monitoring. His work enables advancements in brain-computer interfaces, emotion recognition, seizure detection, and cognitive state assessment. The analysis of his recent publications reveals a consistent trend in developing robust, real-time, and wearable neurophysiological systems. These works emphasize adaptive signal processing, multimodal data fusion, machine learning, and low-power embedded solutions for clinical and real-world applications. 9 prizes or awards (specific names not listed in text) Ruaridh Clark supervises several PhD students, including Agathe Bouis, Joshua Gribben, and Beth Probert. He is involved in 18 research projects, indicating active grant funding and collaborative research. His work is highly interdisciplinary, bridging engineering, neuroscience, and clinical applications. He is affiliated with the research group led by Professor Malcolm Macdonald and collaborates across disciplines, including with researchers in psychology. His lab focuses on developing wearable, real-time, and intelligent systems for neurophysiological monitoring and human performance assessment.

• Software Engineering
• Software Architecture
• Autonomous Systems
• +۴ مورد دیگر

Patrizio Pelliccione is a Full Professor in Computer Science and Software Engineering at Gran Sasso Science Institute (GSSI) and an Associate Professor at Chalmers | University of Gothenburg. He holds a PhD in Computer Science from the University of L'Aquila. His research focuses on Software Architecture and Autonomous Systems, with applications in automotive and robotics domains. He has extensive international experience, including roles as Associate Professor at University of L'Aquila and Visiting Professor at Charles University. His research interests include software architecture design, autonomous systems, robotics, and automotive systems engineering. He actively collaborates with industry partners globally and has contributed to over 100 peer-reviewed publications across journals and conferences. Pelliccione chairs the Computer Science area at GSSI and leads research initiatives in value-based software ecosystems, continuous compliance, and architecture-driven development. He serves on program committees for major conferences like ICSE and ICSA, and has authored/co-authored books on software architecture and fault-tolerant systems. His work emphasizes practical industry applications, with contributions to automotive systems engineering frameworks, robotic mission specification languages, and safety-critical software development. Current projects explore AI integration in safety-critical domains like space systems and medical devices.

Gabriel Stoianمشاهده پروفایل

مدرس

• Computer Networks
• Digital Communications
• Operating Systems
• +۷ مورد دیگر

Gabriel Stoian is a Lecturer in the Computer Science Department at the Faculty of Mathematics and Computer Science, University of Craiova, Romania. He has been serving in this role since 2008, having previously held the position of Assistant Professor from 1992 to 2008. His academic and research activities are deeply rooted in computer systems and networking. His educational background includes a PhD from the University of Craiova (2007) with a thesis titled Model for quantitative and qualitative analysis of ADSL communication , and a degree in Computer Science from the Faculty of Automatics, Computers and Electronics at the University of Craiova (1984–1989), where his graduation paper was on a logic analyzer. Gabriel Stoian's research interests include Computer Networks, Digital Communications, Operating Systems, and Computer Architecture. His work emphasizes mobile and broadband communication systems, particularly in WiMAX and ADSL technologies, and explores innovative solutions using mobile agents and optimization algorithms. The recent publications reflect a consistent focus on network performance, traffic management, and communication system design. Key themes include handoff optimization in mobile networks, DSLAM and line card architecture, and intelligent systems for network control. His research bridges theoretical models with practical implementations in telecommunications and embedded systems. IEEE Member (Computer Society, Communication Society), since 2002 Association for Computing Machinery, since 2004 Romanian Mathematical Society (SSMR), since 2000 Research Center of Artificial Intelligence, Craiova, since 2000 Gabriel Stoian has participated in national research grants such as Algebraic Properties of the Labelled Stratified Graphs and Knowledge Representation System Based on Frames . While no formal advising roles are listed, his collaborative publications suggest mentorship and team-based research. He has taught courses including Operating Systems, Computer Networks, and Java Technologies. He is associated with the Research Center of Artificial Intelligence in Craiova and has contributed to projects involving frame-based knowledge systems and fault diagnosis in digital circuits. His ongoing work reflects a strong integration of academic teaching, applied research, and professional engagement in international computing societies.

• Applied Mathematics
• Numerical Methods
• Differential Equations
• +۹ مورد دیگر

Jesús Cardenal Carro is a Professor in the Department of Applied Mathematics at the Ferrol Engineering Polytechnic University College, part of the University of A Coruña (UDC). He teaches a wide range of courses across engineering disciplines, including Numerical Methods, Differential Equations, Linear Algebra, and specialized topics in mobility and industrial design. He is actively engaged in research through the Observatorio para el diseño e innovación en movilidad, medios de transporte y automoción, contributing to both academic and applied engineering projects. His research interests span Applied Mathematics , Computational Mechanics , Multibody System Dynamics , and Automotive and Mobility Engineering . He focuses on numerical methods, inertial data filtering, vehicle dynamics, and the development of test benches for simulating mechanical motion. His work bridges theoretical mathematics with practical engineering applications in automotive and industrial systems. The recent articles highlight a strong trend in applied computational mechanics, particularly in vehicle dynamics, numerical simulation, and sensor data processing. Many publications focus on the development and validation of algorithms for orientation estimation from inertial sensors, simulation of mechanical systems, and practical engineering solutions such as vehicle conversions and test bench design. Collaborations with researchers like Javier Cuadrado and Eduardo Bayo Pérez are frequent and long-standing. No scientific awards were explicitly mentioned in the provided text. Jesús Cardenal Carro has directed multiple final degree and master’s theses in Industrial Engineering, including those of José Augusto Antón Nacimiento and Alvaro Deibe Díaz. He has participated in numerous research projects funded by national programs such as the Programa Nacional de Investigación del Transporte, the Secretaria Xeral de Investigación e Desenvolvemento Tecnolóxico, and international entities like the U.S. Army Research Office. These projects span areas of multibody dynamics, vehicle systems, and applied mechanics. He is affiliated with the research group Observatorio para el diseño e innovación en movilidad, medios de transporte y automoción, which focuses on innovation in transportation and automotive design. His work involves close collaboration with industry partners such as NAVANTIA and LABORATORIO OFICIAL DE VEHÍCULOS HISTÓRICOS, as well as academic networks including the Asociación Española de Ingeniería Mecánica (AEIM) and IFToMM.

• Vibration Control
• Energy Harvesting
• Mechanical Engineering
• +۳ مورد دیگر

Panagiotis Alevras is an Assistant Professor at the School of Production Engineering and Management, Technical University of Crete. His research focuses on vibration control, energy harvesting, nonlinear dynamics, and structural dynamics with applications in renewable energy systems and mechanical engineering. He holds a position in the Teaching and Research Staff, located at Office G3.1.08 in Building G3. His work involves conceptual design of energy systems, optimization of mechanical processes, and the development of novel methodologies for vibration mitigation in critical infrastructure like wind turbines and powertrains. Education details are not explicitly provided in the text, but his academic contributions span over a decade, with publications from 2012 to 2025. His research emphasizes interdisciplinary approaches, combining mechanical engineering principles with advanced numerical simulation and experimental validation. Key areas of exploration include piezoelectric systems, gear dynamics, and wave energy converters. He has contributed to modular energy island designs and floating offshore systems, reflecting a commitment to sustainable energy solutions. Recent articles highlight advancements in nonlinear energy sink designs, passive shunting techniques for turbines, and self-tuned vibration harvesters for wireless sensing. His work often intersects with emerging technologies in smart materials and autonomous systems. No explicit mentions of awards or lab affiliations are found in the provided text.

Ole Kiel Jensenمشاهده پروفایل

دانشیار

• Antennas
• Propagation
• Millimetre-Wave Systems
• +۷ مورد دیگر

Ole Kiel Jensen is an Associate Professor at Aalborg University's Department of Electronic Systems, under The Technical Faculty of IT and Design. His research focuses on antennas, propagation, millimetre-wave systems, and AI-driven RF-sensors. He has been involved in projects such as the Modular Advanced Radio for Satellite Services (MARS2) and ETCaM, addressing satellite communications, power amplifier efficiency, and flexible transceiver systems. Education: Civilingeniør (Engineering Diploma), Aalborg University His research interests revolve around advanced RF systems, including phased arrays, power amplifiers, and digital signal processing for telecommunications. He has contributed to innovations in lightning protection systems for wind turbines and condition monitoring technologies. His work bridges theoretical advancements and practical applications in electronics and renewable energy sectors. Key projects include developing high-efficiency RF transmitters (ETCaM) and software-defined transceivers (SOFT), emphasizing software-defined radio and global positioning systems. Recent publications (2022–2025) highlight advancements in neural network-based predistortion, Gallium Nitride LNA architectures, and satellite communication signal recovery. Grants/Projects: 12 completed projects since 2001, including MARS2 (2018–2023), ETCaM (2014–2017), and SOFT (2014–2016). Labs/Teams: Collaborates with interdisciplinary teams on antenna design, millimetre-wave systems, and AI-driven sensor technologies. Active in patenting innovations, such as lightning protection devices for wind turbines (2023–2025).