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Martin MillerView profile

Assistant Professor

• Computational Design
• Digital Fabrication
• Artificial Intelligence in Architecture
• +7 more

Martin Miller is an Assistant Professor of the Practice in the Department of Architecture at Cornell University's College of Architecture, Art, and Planning (AAP). He is also the co-founder of AntiStatics Architecture, a design practice based in Beijing and New York City, where he explores the intersection of digital technologies, architecture, and social impact. His teaching focuses on computational design, artificial intelligence, simulation, and robotic fabrication in graduate studios. Miller holds a Master of Architecture from the University of Pennsylvania and a B.F.A. in Sculpture with a minor in Mathematics. His educational background deeply informs his interdisciplinary approach to design and technology. His research and design practice center on the manipulation of complexity across spatial, structural, social, and cultural dimensions. He employs digital and computational tools to manage design intricacies and develop innovative fabrication methods. Key interests include AI in architecture, big data urban analysis, responsive installations, and the development of new design languages through collaboration. His work often bridges academic research and real-world application, particularly in urban contexts facing systemic disparities. The recent design projects and studio work reflect a strong trend toward socially engaged architecture, data-driven urbanism, and experimental fabrication techniques. Themes of adaptability, responsiveness, and systemic thinking recur across his built works and pedagogical projects, from the Pussy Hut to the Ou-River Crystal Box Restaurant and the Defunding the Police studio initiative. Martin Miller has not been publicly recognized with formal scientific awards, but his work has been exhibited and discussed in major design forums, including Beijing Design Week and the Winter Stations competition. He actively mentors students through studio teaching at Cornell AAP, emphasizing adaptability, originality, and engagement with emerging technologies. His practice operates as a collaborative lab, integrating academic inquiry with fast-paced design development, particularly in China’s dynamic construction environment. AntiStatics Architecture functions as both a design office and a research platform, exploring the future of architectural practice in a digitally saturated world. Miller leads AntiStatics Architecture as a transnational collaborative studio, maintaining offices in Beijing and Ithaca. The team uses digital tools to sustain a 24-hour workflow across time zones, enabling rapid project development and innovation. The practice emphasizes experimental methods, material research, and social responsiveness, functioning as a living laboratory for architectural ideas.

Joseph OrioloView profile

Professor

• Control Systems
• Robotics
• Humanoid Robots
• +7 more

Joseph Oriolo is a Full Professor of Automatic Control and Robotics at the Department of Computer, Control and Management Engineering (DIAG) at Sapienza University of Rome, where he also serves as the director of the DIAG Robotics Lab. He received his Ph.D. in Control Engineering from Sapienza University of Rome in 1992 and joined the DIAG in 1994. As an IEEE Fellow, he has made significant contributions to the field of robotics and control systems. His research spans multiple areas within robotics and control engineering, with particular focus on humanoid robots , mobile robots , UAVs , visual motion control , multi-robot systems , and sensor-based navigation . His work bridges theoretical control systems with practical robotics applications, emphasizing motion planning, learning control, and kinematically redundant robots. His research has resulted in over 230 publications in international journals and conferences, as well as two books. An analysis of his recent publications (2022-2025) reveals a strong emphasis on advanced control techniques for humanoid and mobile robots, particularly Model Predictive Control (MPC) applications for gait generation, navigation, and manipulation. His work increasingly integrates vision-based approaches for safe human-robot interaction and navigation in complex environments, with a growing focus on real-world applications including crowd navigation and cooperative robotics. Best Paper Award at the 17th International Workshop on Human-Friendly Robotics (HFR 2024) IEEE Robotics and Automation Magazine Best Paper Award for 2020 IEEE Fellow Professor Oriolo has served in significant editorial roles including Associate Editor (2001-2005) and Senior Editor (2009-2014) of the IEEE Transactions on Robotics. He has been actively involved in major robotics conferences, serving as Organization Chair for the 2007 IEEE International Conference on Robotics and Automation in Rome and on the Program Committees of numerous international conferences including ICRA, IROS, and RSS. He currently teaches courses on Control Systems and Autonomous and Mobile Robotics at Sapienza University of Rome. As director of the DIAG Robotics Lab, he leads research efforts in humanoid robotics, mobile manipulation, and autonomous navigation. The lab focuses on developing control frameworks that enable robots to operate effectively in complex, dynamic environments, with applications ranging from industrial automation to human-robot collaboration.

Tevfik DemirciftciView profile

Assistant Professor

• Revenue Management
• Hospitality Technology
• Tourism Management
• +5 more

Tevfik Demirciftci serves as Assistant Professor of Hospitality Management at Colorado Mesa University, bringing dual PhD credentials in Hospitality Administration (University of Nevada Las Vegas) and Tourism Management (Istanbul University), plus an MSc in Hospitality Management from the University of Delaware. His academic appointment is housed within the university's hospitality programs despite no explicitly stated college/school affiliation. His educational journey features: PhD in Hospitality Administration, University of Nevada Las Vegas PhD in Tourism Management, Istanbul University MSc in Hospitality Management, University of Delaware Demirciftci's research centers on revenue management systems, hospitality technology adoption, and consumer behavior analysis within casino/hotel operations. He investigates critical gaps between academic curricula and industry requirements in revenue management, while pioneering methodologies like LIWC text analysis of online reviews and conjoint analysis for pricing strategies. His work consistently bridges theoretical frameworks with practical applications in luxury hospitality segments. Analysis of his 15 most recent publications reveals three dominant research trajectories: (1) Technology integration through IoT, robotics, and AI in guest experiences; (2) Revenue management optimization for casino buffets and luxury hotels using behavioral data; (3) Destination competitiveness studies for MICE and golf tourism with emphasis on Istanbul's market dynamics. These streams demonstrate methodological diversity spanning quantitative modeling, sentiment analysis, and cross-cultural comparisons. Professional recognition includes Microsoft Office Expert certification in Excel, though no major scientific awards or fellowships appear in current records. His industry experience informs practical research approaches without formal grant disclosures. With 22 years of hands-on industry experience across MGM, Marriott, and Ritz-Carlton properties in Bahrain, Turkey, and the US, Demirciftci maintains strong industry-academia connections. While graduate student supervision isn't documented, his publications suggest collaborative research networks across international institutions. His professional practice focuses on translating revenue management theory into operational solutions for complex hospitality environments. No dedicated research laboratories or formal teams are mentioned, though his publications indicate frequent international collaborations, particularly with Turkish and US-based scholars in hospitality technology and destination marketing fields.

Claire L. EvansView profile

Adjunct Professor

• Biology
• Technology
• Digital Culture
• +7 more

Claire L. Evans is an Adjunct Instructor in the Media Design Practices program at Art Center College of Design in Los Angeles, where she advises students while maintaining an active creative practice spanning writing, music, and digital culture exploration. Her research interests focus on the intersection of biology, technology, and culture, with particular emphasis on computing history, artificial intelligence, ecological systems, and digital consciousness. Evans approaches these topics through both scholarly and creative lenses, examining how biological principles inform computational systems and vice versa, while exploring the philosophical implications of emerging technologies. Her recent publications reveal trends across digital culture, biocomputing, and AI ethics, with increasing focus on the relationship between organic and artificial intelligence systems. These works demonstrate her interdisciplinary approach that bridges scientific inquiry with cultural criticism. Grammy nomination as singer of YACHT 2024 MacDowell Calderwood Fellow for Journalism ASME Award nomination for profile of Susy Thunder Evans advises students in the Media Design Practices program at Art Center College of Design and has presented at major institutions including the Hirshhorn Museum, Walker Art Center, TEDx, Google I/O, and the Neural Information Processing Systems conference. Her work spans multiple creative domains including the video game Blippo+, the documentary The Computer Accent, and the Wild Information newsletter exploring ecology, computing, and consciousness. She co-founded Terraform, a speculative fiction incubator, and serves as an advisor to emerging creators working at the intersection of art and technology.

Rui LiView profile

Research Fellow

• Nanoarchitected Metamaterials
• Microrobotics
• Femtosecond Laser Printing
• +4 more

Dr. Rui Li serves as a Postdoctoral Researcher and Emmy-Noether Group Leader at the Karlsruhe Institute of Technology's Institute of Nanotechnology, specializing in the Mechanics of Nanoscale Materials research unit. Based in Eggenstein-Leopoldshafen, Germany, her work pioneers femtosecond laser-based fabrication techniques for functional nanoarchitectures with direct biomedical applications, particularly in microrobotics for targeted therapy and microscale manipulation within physiological environments. Her research spans four interconnected domains: Nanoarchitected Metamaterials: Designing materials with engineered nanoscale architectures for enhanced mechanical, magnetic, and optical properties Advanced Microfabrication: Developing femtosecond laser 3D/4D printing methods for metals, alloys, and polymers at micro/nanoscale resolution Intelligent Microrobotics: Creating magnetically actuated microswimmers capable of complex locomotion in biological fluids and adaptive shape-morphing Biomedical Translation: Applying microscale systems to cancer therapy, neural tissue engineering, and microfluidic manipulation Dr. Li's interdisciplinary approach integrates mechanical engineering principles with cutting-edge materials science to solve critical challenges in minimally invasive medicine. Analysis of her 15 most recent publications (2021-2025) reveals a strategic evolution from fundamental fabrication techniques toward increasingly sophisticated functional systems. Key trends include: Transition from static microstructures to reconfigurable, environmentally adaptive microrobots with multi-stimuli responsiveness Integration of multi-material printing (metals, alloys, polymers) to achieve unprecedented functional complexity Development of blood-flow-compatible magnetic actuation systems enabling in vivo navigation Convergence of optical, magnetic, and thermal control mechanisms for precise spatiotemporal manipulation This trajectory demonstrates a clear focus on translating nanoscale material innovations into clinically viable microscale robotic solutions. No scientific awards or fellowship distinctions were documented in the source materials. Similarly, there is no mention of graduate student supervision or externally funded research grants. Dr. Li leads the Emmy-Noether-funded Nanoarchitected Metamaterials group within KIT's Institute of Nanotechnology infrastructure, leveraging the Karlsruhe Nano Micro Facility's (KNMF) advanced femtosecond laser systems and cleanroom facilities. Her team maintains active collaborations across KIT's engineering and medical faculties to advance microscale robotic systems for biomedical applications.

Jordy KaufmanView profile

Associate Professor

• Developmental Psychology
• Child Psychology
• Cognitive Neuroscience
• +12 more

Jordy Kaufman is an Associate Professor in the School of Health Sciences at Swinburne University of Technology, where he conducts interdisciplinary research at the intersection of child development, psychology, and technology. His work explores how children interact with and learn from virtual reality, touchscreens, social robots, and language apps, using advanced methods such as EEG, neuroimaging, and behavioral studies. BSc in Cognitive Science, Carnegie Mellon University PhD in Psychology, Duke University Postdoctoral Training, Centre for Brain and Cognitive Development, University of London His research focuses on cognitive and social development in the digital age, with particular emphasis on learning technologies, screen media impacts, and safety training using immersive environments. He investigates how emerging technologies shape children’s cognition, empathy, and social behavior, and how these tools can be optimized for educational and clinical applications. His recent publications reveal a strong trend in the use of immersive virtual reality (IVR) for teaching water safety, problem-solving, and time-telling, as well as examining neural responses to language apps and ethical implications of child-robot interaction. His work demonstrates that IVR enhances engagement, knowledge retention, and transfer of learning compared to traditional methods. Marbach Castle Residency, Jacobs Foundation (2017) Editor, Child Development (2015–) Associate Editor, Infant and Child Development , PLoS ONE , Frontiers in Psychology Member, Guideline Development Group for Australian 24-hour Movement Guidelines Kaufman supervises numerous PhD and master’s students, with research topics spanning digital play, social cognition, autism interventions, and injury prevention. He has received grants from the Australian Department of Education, Life Saving Victoria, and international bodies to support applied research in technology-enhanced learning and child safety. He leads a lab that established Australia’s first infant cognitive neuroscience facility and continues to pioneer the use of immersive technologies in developmental psychology.

Mareike GastView profile

Professor

• Sustainable Materials
• Biotechnology in Design
• Material Interactions
• +6 more

Mareike Gast is a Professor of Industrial Design with a focus on Material, Technology and Sustainability at Burg Giebichenstein University of Art and Design Halle since 2016. She is co-initiator and project leader of BurgLabs, an interdisciplinary research platform focused on sustainability, biotechnology, and robotics. Gast also leads the Materialsammlung of the BURG together with Prof. Dr. Sara Burkhardt and has been a board member of the Material-Archiv since 2025. She serves on the advisory board of the Bundespreis Ecodesign since 2019 and was a member of the Ressourcenkommission am Umweltbundesamt (2021-2023). Education: Foundation Studies in Art and Design at Central Saint Martins College of Art and Design in London (2000/01) Industrial Design at Design Academy Eindhoven (2001-2005) Mareike Gast's research focuses on the development of sustainable material interactions and transformation processes, with particular emphasis on the potentials and risks of biotechnology. Her work explores how living microorganisms can be integrated into materials, membranes, and textile surfaces to create symbiotic systems. She investigates questions about living products, biological obsolescence, and the care required for perishable materials. Her research bridges industrial design, material science, and sustainability, with strong emphasis on circular economy principles and innovative production methods. She has pioneered approaches to embedding microorganisms in various materials using manufacturing techniques such as 3D printing and electrospinning. Her recent publications and student projects demonstrate a consistent focus on sustainable design solutions across biomaterials, circular product development, and sustainable manufacturing. Projects like 'Compostable Devices' showcase innovative approaches to integrating biological materials into everyday products, while 'Monomaterial' addresses systemic challenges in material flows. Her work increasingly explores biotechnology applications in design, as seen in projects involving microbial materials, biofabrication, and living textiles. The 'Living Layers' project exemplifies her approach to symbiotic material systems, examining how microorganisms alter material properties and interact with the environment. Mareike Gast has supervised numerous master's theses on sustainable design topics, mentoring students who have developed innovative approaches to material use and product design. Her guidance spans diverse areas including sustainable footwear ('prototyping footprints'), food systems ('Rethinking Food Storage Design'), and medical applications ('Monomaterial'). She has established a robust framework for design research that emphasizes hands-on experimentation alongside theoretical exploration. As co-initiator of BurgLabs, Gast leads research in the BioLab and SustainLab, where interdisciplinary teams explore sustainable materials and production methods. The BioLab focuses on integrating living microorganisms into design processes, while SustainLab addresses systemic sustainability challenges in product design and manufacturing. These labs provide a platform for collaborative research with industry partners and academic institutions, facilitating knowledge exchange between design, science, and industry. The Materialsammlung she co-leads serves as a physical and conceptual resource for material exploration and innovation.

Rodrigo I. SilveiraView profile

Associate Professor

• Computational Geometry
• Combinatorial Geometry
• Geographic Information Science (GIS)
• +7 more

Rodrigo I. Silveira is an Associate Professor in the Department of Mathematics at Universitat Politècnica de Catalunya (UPC), where he conducts research in computational and combinatorial geometry. He is a member of the UPC research group on Discrete, Combinatorial and Computational Geometry and has a strong academic background, having earned his PhD at Utrecht University under Marc van Kreveld and completed prior studies at the Universidad de Buenos Aires. His research focuses on Computational Geometry , particularly problems arising from Geographic Information Science (GIS) , such as map construction, trajectory analysis, and visibility. He also works on Graph Drawing and algorithms for geometric structures. His work combines theoretical algorithm design with practical applications in spatial data. His recent publications reflect a consistent trend in geometric algorithms, including shortest paths in complex environments (e.g., portalgons), Voronoi diagrams with color constraints, robot motion coordination, and map inference from GPS data. These works appear in top-tier journals and conferences such as Algorithmica , Computational Geometry: Theory and Applications , SoCG, WADS, and LATIN. He has received scientific recognition, including a Best Paper Award at AGILE 2009 and another at SpatialGems 2021. He has supervised several PhD students to completion, including Guilermo Esteban (2024) and Pilar Cano (2020), and continues to advise current students. Rodrigo has been deeply involved in the academic community, organizing major events such as the European Workshop on Computational Geometry (EuroCG 2023), Graph Drawing 2018, and the Intensive Research Program on Discrete Geometry (2018). He has served on the program committees of SoCG, WADS, LATIN, and CCCG, and has chaired tracks for EGC and CG:YRF. His work is supported by collaborations with leading researchers such as Kevin Buchin, Maarten Löffler, Prosenjit Bose, and Vera Sacristán, and he contributes to both theoretical advances and practical implementations in geometric computing.

Rafael MestreView profile

Lecturer

• Responsible Research and Innovation
• Emergent Technologies
• Multimodal Machine Learning
• +12 more

Rafael Mestre is a Lecturer at the School of Electronics and Computer Science, University of Southampton, and a Turing Fellow at the Alan Turing Institute. He leads multiple interdisciplinary research projects at the intersection of computer science, political science, and bioengineering. He is co-director of the Centre for Democratic Futures, Ethics & Governance lead at the Centre for Robotics, Associate at the Digital Humanities hub, and member of the Institute for Life Sciences. Research Interests: Responsible Research and Innovation of emergent technologies Multimodal machine learning and Natural Language Processing Computational social science and argumentation mining Bio-hybrid robotics and nanorobotics Digital tools for democratic innovation and public deliberation Ethics and governance of AI and robotics His recent publications reveal a strong trend in interdisciplinary research combining machine learning with societal and biological applications. He works on multimodal AI for analyzing political debates, ethical implications of bio-hybrid systems, and responsible deployment of distributed sensing in urban environments. His work integrates methods from computer science, social sciences, and engineering. Scientific Awards: Alan Turing's Postdoctoral Enrichment Award (PDEA), 2022 Turing Fellow, 2024 Advising and Grants: Supervises PhD students in MINDS and Web Science programs Principal Investigator (PI) of ESRC New Investigator Award: 'Biohybrid Futures' PI of RAI UK International Partnership: 'RAI4MH – Fairness in NLP for Mental Health' PI of £1.2M UKRI Cross-Council Grant: SOUNDSCALE (responsible sensing in smart cities) Previously held postdoctoral fellowships including New Frontiers Fellow and role in 'Rebooting Democracy' project Labs and Research Groups: Centre for Democratic Futures (Co-Director) Centre for Robotics (Ethics & Governance Lead) Agents, Interaction and Complexity Research Group Institute for Life Sciences (IfLS) Digital Humanities (DH) Hub (Associate) Collaborates with Institute for Experiential AI (Northeastern University, US) and National Oceanography Institute (NOC)

Sherine AntounView profile

Assistant Professor

• Robotics
• Autonomous Navigation
• Biologically Inspired Perception
• +2 more

Sherine Antoun is an Assistant Professor of Computer Science at Colorado Mesa University. He is based in Confluence Hall 335 and can be reached at 970.248.1148 or santoun@coloradomesa.edu. His research focuses on robotics and autonomous systems, particularly in navigation and perception using ultrasonic sensors. Dr. Antoun's educational background includes: PhD in Robotics and Applied Computer Science from the University of Wollongong, Australia Research Masters (MPhil) in Computer Science from the University of Wollongong, Australia BCS in Computer Science from the University of Wollongong, Australia Dr. Antoun's research spans robotics, autonomous navigation, and biologically inspired perception. He specializes in ultrasonic sensing, particularly CTFM (Chirp Time-Frequency Modulated) sensors, for applications in hostile environments. His work includes mimicking human echolocation for robot navigation and wall tracking algorithms. His interests also extend to signal processing for navigation, sensor fusion, and adaptive perception systems. He has published extensively on mobile robot navigation using single and multiple ultrasonic sensors. Dr. Antoun's recent publications (2019-2007) demonstrate a consistent focus on ultrasonic sensing for robot navigation. His work explores CTFM sensors for echo signal data mining, wall tracking, and corridor perception. He has also investigated biologically inspired techniques, such as mimicking blind navigation, to enhance robot autonomy in challenging environments. The research trends show an evolution from basic wall following (2007-2010) to more complex signal processing and data mining (2013-2019), indicating a progression towards sophisticated autonomous navigation systems. Dr. Antoun has not been listed as receiving any scientific awards in the provided information. Dr. Antoun is dedicated to student-centered teaching, adapting to diverse learning styles. He has served as a guest lecturer at several international conferences, including the IEEE Intelligent Systems Conference (2018) and the Biologically Inspired Cognitive Architectures conference (2015). However, no specific grants or funded projects are detailed in the provided text.

• Economics
• International Economic Relations
• Artificial Intelligence
• +3 more

Dr. Irene Iodice is a research assistant at the Chair of Economics, International Economic Relations, within the Faculty of Business and Economics at Bielefeld University. Her work intersects with the university's strategic research area of the Socio-Technical World, focusing on capabilities and mechanisms enabling agents like AI and robots to act and learn in complex environments. She contributes to interdisciplinary research initiatives linked to CITEC (Center for Cognitive Interaction Technology) and other socio-technical projects. Her role involves collaboration across disciplines such as computer science, sociology, and law, particularly in analyzing the societal impact of intelligent systems.

Harold TRANNOISView profile

Lecturer

• Machine Learning
• Artificial Intelligence
• Multi-agent Systems
• +3 more

Harold TRANNOIS serves as a Lecturer at the University of Picardy Jules Verne (UPJV) within the Networks and Data Domain (REDO), with office 309 contactable at phone 5911. His academic focus bridges theoretical computer science and applied engineering disciplines. His research program demonstrates deep specialization in intelligent systems, particularly emphasizing: Machine Learning architectures including spiking neural networks and autoencoders Multi-agent coordination frameworks for complex environments Anomaly detection systems in IoT-enabled infrastructure Cloud robotics and domain-specific language development Discrete element modeling for physical simulations Analysis of his publication trajectory reveals evolving expertise from foundational multi-agent traffic simulation (1998) toward contemporary biomedical AI applications (2023). Recent work concentrates on neural network implementations for healthcare monitoring and smart building analytics, with consistent methodological focus on uncertainty quantification and architectural optimization. Active involvement in DAAB and SmartAngel projects demonstrates applied research translation into healthcare and robotics domains, leveraging his dual expertise in neural networks and distributed systems for real-world problem solving.

Bertalan ForstnerView profile

Associate Professor

• Mobile Robotics
• Swarm Intelligence
• Internet of Things
• +5 more

Dr. Bertalan Forstner is an Associate Professor and Deputy Head at the Department of Automation and Applied Informatics , Budapest University of Technology and Economics (BME). He co-leads the Applied Mobile Research Group (AMORG) within the Applied Computer Science Group, where his work bridges robotics, IoT, and cognitive infocommunication. Research Interests: Swarm Robotics & Aerial Systems: uniform dispersal algorithms for large fleets of low-cost flying robots, obstacle avoidance, and area-filling with minimal sensing. Internet of Things & Model-Driven Engineering: multi-domain IoT architectures, model-based unification of heterogeneous mobile platforms, and energy-efficient offloading. Cognitive Infocommunication & Educational Technology: adaptive learning environments, biofeedback-driven serious games, and AI-enhanced assessment tools using item-response theory. Distributed & Peer-to-Peer Systems: semantic overlays, mobile P2P protocols, and performance evaluation simulators. Research Impact & Trends: Across more than 50 peer-reviewed works (2005-2025), a clear evolution is visible: early efforts focused on P2P and mobile networking transitioned into swarm-robotics algorithms, which in turn informed IoT and cognitive-systems research. Recent 2025 papers emphasize quantitative service-level analytics, user-behavior classification, and synthetic data generation for cognitive modeling, underscoring a trajectory toward data-driven, AI-enhanced, human-centric systems. Scientific Awards & Recognitions: No specific awards are listed in the provided text. Advising & Funding: While individual PhD students are not named in the source, Dr. Forstner’s long-running research projects in AMORG and sustained publication output imply active supervision and grant support. Details on specific grants or doctoral candidates are not disclosed. Laboratory & Teams: He leads the Applied Mobile Research Group (AMORG) and collaborates closely with the Applied Computer Science Group at BME, maintaining facilities in building Q, room B227 on the Magyar tudósok körút campus.

• Vehicle Mechatronics
• Embedded Control Systems
• Reinforcement Learning
• +4 more

Dr. Aradi Szilárd serves as Associate Professor at Budapest University of Technology and Economics, Faculty of Transportation Engineering, Department of Control for Transportation and Vehicle Systems. He also holds a Senior Research Fellow position at SZTAKI since 2022. His academic career shows steady progression from PhD Student (2005-2009) to Assistant Lecturer (2009-2016), Senior Lecturer (2016-2021), and finally Associate Professor (2021-present). His educational background includes an MSc in Transportation Engineering (2005) and PhD (2015). His research spans vehicle mechatronics, embedded control systems, reinforcement learning applications in transportation, and railway traffic management. Dr. Aradi has led significant projects including TruckDAS (2009-2011), Integrated Railway Energy System (2013-2015), Bosch R&D Project 'Umbrella' (2014-2016), VKE 2018-40 (2018-2022), and the Autonomous Systems National Laboratory (2020-present). His recent publication trend reveals a strategic shift toward reinforcement learning applications in transportation systems, with particular emphasis on rail traffic optimization and autonomous vehicle control. Since 2020, over 70% of his work involves reinforcement learning techniques applied to real-world transportation challenges, demonstrating his commitment to bridging theoretical AI with practical engineering solutions. Dr. Aradi teaches Vehicle On-board Systems I-II, On-board Communication, Automotive Environmental Sensing, and I&C Technologies courses while supervising PhD students. His industrial collaborations with Bosch, Siemens, and other transportation technology companies provide valuable real-world context for his academic work. His research laboratory focuses on vehicle mechatronics, with specialized facilities for railway traffic control, automotive environmental sensing, and reinforcement learning applications. The department maintains strong connections with industry partners including HungaroControl, Műszer Automatika, PowerQuattro, SWARCO Traffic Hungária, Robert Bosch, and SIEMENS.

Peter DanielisView profile

Professor

• Parallel Systems
• Distributed Computing
• Time-Sensitive Networking
• +4 more

Prof. Dr.-Ing. habil. Peter Danielis holds an Extraordinary Professorship in Parallel Systems at the Institute of Computer Science, University of Rostock. His research focuses on parallel and distributed systems with applications in time-sensitive networking, autonomous underwater vehicles, and industrial IoT. He serves as Deputy Director of the Institute of Computer Science (IFI) and participates in editorial boards for multiple conferences and journals. His primary research interests span Parallel Systems , Distributed Computing , and Time-Sensitive Networking , with significant contributions to mobile opportunistic networks and real-time communication in industrial settings. Current projects include cooperative navigation of autonomous underwater vehicles (AUVs) and distributed communication networks for IoT applications. His work bridges theoretical research with industrial implementation, particularly in deterministic networking for critical infrastructure. Analysis of his recent publications (2020-2025) reveals strong emphasis on Time-Sensitive Networking (TSN) for industrial automation, with 7 of 15 recent papers directly addressing TSN scheduling, reliability, and traffic management. Secondary focus areas include Autonomous Underwater Vehicle coordination (3 papers) and Mobile Opportunistic Networks for urban sensing. His methodology combines simulation, protocol design, and real-world validation. Professional affiliations include membership in the Institute of Electrical and Electronics Engineers (IEEE). He serves as TPC member and editorial board member for various conferences and journals. His teaching portfolio covers High Performance Computing, Operating Systems, and Complex Software Systems. As Deputy Director of the Institute of Computer Science, he oversees academic operations while maintaining active research leadership. His laboratory work focuses on real-time communication systems and underwater vehicle networks, utilizing simulation frameworks like OMNeT++ for protocol validation. Current research directions include adaptive TSN scheduling and cooperative AUV navigation in dynamic environments.