جست‌وجوی استاد و پژوهشگر

• Enactive Cognitive Science
• Embodied Cognition
• Human-Robot Interaction
• +۷ مورد دیگر

Dr. Alfonsina Scarinzi is a researcher at ZESS, Georg-August University of Göttingen, and was a fellow-in-residence at CY Advanced Studies (CY AS), invited by the BONHEURS laboratory. Her work bridges cognitive science, philosophy, and robotics, focusing on how meaning and experience emerge through embodied interaction. Her research centers on enactive cognitive science and embodied cognition , particularly in human-robot interaction (HRI). She investigates how agents co-create meaning through sensorimotor engagement, especially in educational contexts involving social robots like iCub. Her work emphasizes the affective and pleasurable dimensions of learning and adaptation when humans interact with robots. The single available publication reflects a strong interdisciplinary focus, combining philosophy of mind with robotics, particularly addressing how enactivism avoids conceptual pitfalls in modeling machine consciousness. This points to a research trajectory deeply engaged with both theoretical and applied aspects of cognitive robotics. Dr. Scarinzi has been invited to present her work in international forums such as IEEE RO-MAN and through guest lectures at institutions like CY AS, indicating active scholarly engagement. She has no listed scientific awards in the provided text. There is no information available about student supervision or grant funding. Her primary research context involves experimental and philosophical exploration of human-robot interaction scenarios, particularly within structured research environments such as ZESS and through collaborative residencies like at CY AS.

• Hardware Design
• FPGA Programming
• Parallel Computing
• +۵ مورد دیگر

Satnam Singh is a Professor at Newcastle University's School of Electrical and Electronic Engineering, UK. With a research career spanning over three decades from 1989 to present, Singh has established himself as a leading expert in hardware design, FPGA programming, and parallel computing systems. His research interests focus on hardware-software co-design , reconfigurable computing , and functional programming applications for hardware design. Singh has pioneered work in using functional languages like Haskell for hardware description and verification, particularly through his contributions to the Lava hardware description language. His work bridges theoretical computer science with practical hardware implementation challenges. Analysis of his publication history reveals a clear evolution from early work on formal verification and FPGA design in the 1990s, through substantial contributions to parallel programming models in the 2000s, to more recent applications of machine learning techniques in diverse domains including cheminformatics and sensory systems. His 2022-2025 publications demonstrate continued innovation in specialized processor programming, AI applications for olfactory systems, and health hazard classification using deep learning. Singh has maintained extensive collaborations throughout his career, notably with Krishna R. Pattipati (15 joint publications), Anuradha Kodali (8 publications), and David J. Greaves (5 publications), reflecting his ability to bridge theoretical computer science with practical engineering applications. His work spans multiple prestigious venues including FPGA, FCCM, ICFP, and IEEE Transactions on Systems, Man, and Cybernetics, demonstrating both theoretical depth and practical impact across computer architecture, programming languages, and applied machine learning domains.

• Seismic Metamaterials
• Structural Mechanics
• Risk Assessment in Urban Infrastructures
• +۶ مورد دیگر

Bogdan Ungureanu is a Research Fellow in the Department of Physics at Imperial College London's Blackett Laboratory. He holds a PhD in Civil Engineering and has expertise in seismic metamaterials, structural mechanics, and risk assessment for urban infrastructure. His work integrates applied mathematics, theoretical mechanics, and civil engineering to design novel metamaterials for vibration reduction and seismic protection. His research spans seismic metamaterials, elastic wave control, and metamaterial applications in urban systems. Key areas include topological crystals, subwavelength effects in structured plates, and anomalous dispersion phenomena such as negative group velocity. He has collaborated with CNRS laboratories in Marseille and Le Mans, as well as the CNRS-Imperial 'Abraham de Moivre' International Research Laboratory. Recent publications focus on ceramic metatiles for elastic wave control, seismic metamaterial performance under clamping and geometry variations, and topological effects in edge wave localization. His work often combines Comsol Multiphysics simulations with experimental validation in structural dynamics and fluid mechanics. Dr. Ungureanu's articles highlight trends in metamaterial design for seismic shielding, interaction effects in urban structures, and theoretical advances in transformation elastodynamics and Floquet-Bloch theory. His expertise in finite element analysis supports industrial applications like floating metamaterial plates for mechanical vibration reduction. No scientific awards are listed. His advising/grant activities are unspecified, though his lab affiliations include the Blackett Laboratory and interdisciplinary collaborations within Imperial College's Faculty of Natural Sciences.

Tamang Tej Manمشاهده پروفایل

استادیار

• Plant tissue culture
• Transformation
• Genetic engineering
• +۷ مورد دیگر

Tamang Tej Man, Ph.D. is an Assistant Professor in the Environmental Horticulture department at York College of Pennsylvania's Kinsley School of Engineering, Sciences and Technology . He holds a Ph.D. and completed postdoctoral research at Kansas State University, focusing on genetic engineering and stress physiology of crops. Education: Postdoctoral Fellow, Kansas State University Ph.D. in Horticulture, Kansas State University Research Interests center on abiotic stress tolerance in maize and rice, genetic engineering for stress adaptation, and plant tissue culture for crop improvement. His work investigates molecular mechanisms of heat, drought, and salinity resistance through transgenic and gene editing approaches. Publication Trends show a focus on genetic modification of cereal crops , particularly maize and rice, for enhanced resistance to biotic (e.g., bacterial wilt, blast disease) and abiotic stresses. Techniques include CRISPR/Cas9 , transcriptomic profiling , and redox engineering . Collaborative studies explore effector internalization and artificial transcription factor systems .

Patricia DeLuciaمشاهده پروفایل

استاد

• Human Factors
• Transportation Safety
• Health Care Systems
• +۶ مورد دیگر

Patricia DeLucia is a Professor in the Department of Psychological Sciences at Rice University, specializing in human factors research with applications across transportation, healthcare, and military domains. Her work bridges cognitive psychology with practical applications to improve safety and performance in complex systems. Dr. DeLucia earned her Ph.D. from Columbia University in 1989 followed by a National Research Council postdoctoral associateship at Wright Patterson Air Force Base from 1989-1991. Her expertise spans perception of collision across multiple sensory modalities, multisensory integration in normal and impaired vision, and virtual reality applications. Her research interests focus on human factors in transportation (manual and automated driving, pedestrian street-crossing), health care applications (nursing, medication administration, patient safety, minimally-invasive surgery, telehealth), and military applications (UAVs, night vision goggles). She has made significant contributions to understanding time-to-collision judgments, driver behavior, and perceptual processes in real-world contexts. Analysis of her recent publications reveals consistent focus on automated driving systems, human-machine interaction in healthcare settings, and perceptual processes related to collision avoidance. Her work increasingly addresses the challenges of human-automation interaction across multiple domains. Dr. DeLucia has received numerous professional honors including: Texas Tech University Faculty Distinguished Leadership Award (2016) Human Factors and Ergonomic Society's Paul M. Fitts Education Award (2015) American Psychological Association Division 21's Franklin V. Taylor Award (2014) Texas Tech University Barnie E. Rushing, Jr. Faculty Distinguished Research Award (2012) She previously served as Editor-in-Chief of Human Factors (2014-2021) and held leadership positions including President of APA Division 21 (2011) and Chairperson of the Accreditation Committee for the Human Factors and Ergonomics Society (2010-2013). Her professional service includes standing review panels for NASA and the Agency for Health Research Quality, demonstrating her impact across multiple scientific domains.

Adriana Horzykمشاهده پروفایل

پژوهشگر

• Negotiation Theory
• Management
• Personality Psychology
• +۳ مورد دیگر

Dr. Adriana Horzyk is a researcher and academic at AGH University of Science and Technology in Krakow, Poland, affiliated with the Faculty of Electrical Engineering, Automatics, Computer Science and Electronics in the Department of Automatics. Her primary teaching responsibility involves the course "Podstawy negocjacji i zarządzania" (Basics of Negotiations and Management). Her research focuses on the intersection of personality psychology and intelligent systems, particularly in human-computer interaction contexts. Dr. Horzyk has developed specialized expertise in recognizing and modeling human personality traits within artificial intelligence systems, with applications in e-commerce and adaptive interfaces. Negotiation theory and practice Personality-based intelligent systems Human-computer interaction models Adaptive e-commerce solutions Psycholinguistic approaches to user modeling Her publication history demonstrates consistent research in applying personality recognition to improve man-machine interactions, with particular emphasis on e-commerce applications. Her work bridges psychological theory with practical AI implementations, creating systems that adapt to individual user characteristics. Dr. Horzyk's research trajectory shows progression from theoretical models of personality in negotiation contexts to practical implementations in web-based systems, demonstrating both academic rigor and practical application.

Keith Marzulloمشاهده پروفایل

استاد

• Cybersecurity
• Privacy
• Socio-Technical Systems
• +۷ مورد دیگر

Keith Marzullo is the Donna M. and Robert J. Manning Dean of the Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst. Prior to this, he served as Dean of the College of Information at the University of Maryland, where he led strategic growth in academic programs, research, and cross-sector partnerships. He is also the head of the North American section of the international iSchools organization. His educational background includes: AB in Physics from Occidental College MS in Applied Physics from Stanford University PhD in Electrical Engineering from Stanford University Marzullo's research focuses on technology in service of people, particularly in cybersecurity , privacy , and socio-technical systems , including technologies for emotion regulation. His work bridges computing with human-centered design and societal impact. Earlier in his career, he made foundational contributions to fault-tolerant distributed systems, notably the Xerox Research Internet Clock Synchronization protocol. As an ACM Fellow, he is recognized among the top 1% of ACM members for significant contributions to computing. His leadership extends to federal science policy, having directed key programs at the National Science Foundation and the White House Office of Science and Technology Policy, coordinating R&D across over 20 agencies in AI, cybersecurity, and data analytics. ACM Fellow While specific details about current students and grants are not provided, his leadership roles imply extensive mentorship, grant oversight, and institutional development. He has previously chaired the Department of Computer Science and Engineering at UC San Diego and held faculty positions at Cornell University and the University of Tromsø, Norway.

• Medical Informatics
• Computer-Assisted Surgery
• 3D Medical Visualization
• +۳ مورد دیگر

Andreas Pommert serves as Head of the Voxel-Man working group at the University Medical Center Hamburg-Eppendorf (UKE) within the Faculty of Medicine. Holding a Dr. rer. nat. (Doctor rerum naturalium) and Dipl.-Inform. (Diplom-Informatiker), he specializes in advanced medical visualization technologies and computer-assisted surgical systems. Dr. Pommert's research focuses on 3D anatomical modeling, virtual surgical planning, and medical image processing. His Voxel-Man project has produced significant contributions to medical visualization, creating tools used for surgical training, anatomical education, and preoperative planning. His work bridges computer science and clinical medicine, developing practical applications for surgical assistance systems. He has maintained active leadership in the academic community through his service on the Editorial Board of the International Journal of Computer Assisted Radiology and Surgery (IJCARS) from 2006-2023 and as a member of the Program Committee for Computer Assisted Radiology and Surgery (CARS) conferences. As a member of the Gesellschaft für Informatik (GI), he contributes to Germany's professional computing society. Dr. Pommert's work has practical applications across multiple medical specialties, enhancing surgical precision through advanced visualization techniques. His research group develops tools that transform medical imaging data into interactive 3D models used for both educational and clinical purposes.

Enrico Tronciمشاهده پروفایل

استاد

• Model Checking
• Cyber-Physical Systems
• Software Engineering
• +۷ مورد دیگر

Enrico Tronci is a Full Professor in the Department of Computer Science at Università degli Studi di Roma La Sapienza , Italy. His research focuses on model checking, formal verification, and synthesis of cyber-physical systems, with applications to mission-critical and safety-critical domains such as space systems, smart grids, and healthcare. He leads the Model Checking Lab (MCLab) and has coordinated numerous national and international research projects funded by organizations including the European Community (EC), European Space Agency (ESA), and Italian Ministry of University and Research (MUR). Research Highlights : Automatic control software synthesis from closed-loop specifications Model checking algorithms for hybrid and stochastic systems Technology transfer in sectors like energy, transportation, and aerospace Teaching : Undergraduate: Software Engineering (Fall 2024) Graduate: Automatic Verification of Intelligent Systems (Fall 2024), Verification and Validation of Intelligent Systems (Spring 2025) Scientific Awards : Recipient of the IBM-Italia 1987 prize for best thesis in Artificial Intelligence Publications Trends : 2024: Scaling up model checking for cyber-physical systems via HPC 2023: Hormonal impact on behavior and fault-tolerant sensor deployments 2021-2022: In silico clinical trials, smart grid management, and scenario enumeration 2020: AI-guided diabetes patient modeling and forensic psychiatry applications Software Tools : QKS (Quantized Kontrol Synthesizer) NashMV (MAD systems verification) CMurphi (Hybrid systems model checker) FHP-Murphi (Probabilistic verification) BSP (Boolean symbolic programming)

• Control Systems
• Robotics
• Human-Robot Interaction
• +۴ مورد دیگر

Stefan Sosnowski is a Research Fellow at the Chair of Information-Oriented Control, Technical University of Munich (TUM). He has been affiliated with TUM since 2007, including roles as a research assistant and PhD candidate. His work spans Control Systems , Robotics , and Human-Robot Interaction . PhD in Electrical Engineering (2014), TUM Diploma Engineer (2007), TUM B.Sc. in Electrical Engineering (2005), TUM His research focuses on Data-driven Control (e.g., Koopman Operator theory, Gaussian Processes), Human-Centered Control , and Bio-inspired Design for autonomous systems. Recent publications emphasize learning-based control frameworks and stability analysis for nonlinear systems. Notable projects include SeaClear2.0 , CO-MAN , and ReHyb . He coordinates external theses at ITR and has an Erdős number of 4.

• Haptic Teleoperation
• Control Algorithms
• Network Communication
• +۵ مورد دیگر

Zican Wang is a Scientific Staff member and Ph.D. candidate at the Chair of Media Technology within the School of Computation, Information and Technology at Technical University of Munich (TUM). He joined TUM in 2021 after completing his M.Sc. in Mechanical Engineering from the Robotics Laboratory at Shanghai Jiao Tong University, where he had previously earned dual B.Sc. degrees in Mechanical Engineering and Computer Science. Wang's research focuses on haptic teleoperation systems, control algorithms, network communication, and related technologies including digital twins and perceptual signal quality assessment. His work specifically targets the optimization and assessment of control methods and quality of experience in teleoperation over time-delayed networks. He employs data processing, machine learning, robotics, and virtual reality as assistive tools for his primary research objectives. Wang's publications demonstrate expertise in haptic dataset augmentation, teleoperation control systems, and subjective experience prediction. His recent publications reveal a strong emphasis on practical applications of haptic technology in robotics, with particular attention to variable impedance control, human stiffness estimation, and GAN-based approaches for haptic data processing. Wang frequently collaborates with Professor Eckehard Steinbach and colleagues including Dong Yang, Xiao Xu, and Basak Gülecyüz on projects related to the Centre for Tactile Internet with Human-in-the-Loop (CeTI). IEEE Sensors Journal publication (2024) on haptic sensor-aided variable impedance control Multiple IROS and RO-MAN conference papers (2022-2023) on haptic dataset augmentation and teleoperation optimization Wang also supervises student research, including a project on GAN-based subjective haptic signal quality assessment database augmentation. His work contributes to TUM's research in haptic communication, video communication, and human activity understanding as part of broader projects including the Centre for Tactile Internet with Human-in-the-Loop (CeTI) and DFG-funded research on Teleoperation over 5G.

• Computer Networking
• Quality of Experience (QoE)
• Video Streaming
• +۳ مورد دیگر

Bjørn Jonny Villa serves as Associate Professor at the Norwegian University of Science and Technology (NTNU), specializing in computer networking with emphasis on adaptive video streaming and Quality of Experience (QoE) optimization. His research addresses critical challenges in home networks, public WiFi security, and bandwidth management, as evidenced by publications spanning 2010-2014 in top venues including IEEE, Springer, and international journals. Villa earned his PhD from NTNU in 2014 with the dissertation "Enhancing Quality Aspects of Adaptive Video Streaming in Home Networks," establishing foundational work for his subsequent research. His academic journey reflects deep specialization in network performance optimization for multimedia delivery systems. Core research interests include adaptive HTTP video streaming, QoE measurement and optimization, network security vulnerabilities (particularly in public WiFi), and active probing techniques for bandwidth estimation. Villa employs experimental user studies and traffic analysis to develop practical solutions for improving streaming fairness and network resource allocation, with significant contributions to understanding how burst durations and traffic shaping impact user-perceived quality. Analysis of Villa's publication timeline reveals consistent focus on video streaming challenges: early work (2010-2011) established monitoring frameworks and home gateway optimization, mid-period research (2012-2013) advanced fairness algorithms and traffic shaping, while his 2014 output expanded into security implications of public networks. His collaborative approach is evident through recurring partnerships with Poul Einar Heegaard and Anders Instefjord across multiple publications. No scientific awards are documented in the available records. Similarly, no information regarding research grants or student supervision appears in the provided materials. Villa actively engages with the research community through conference presentations including Forskningsdagene (2013) and NIK conferences, and contributes to public discourse through media appearances in Aftenposten and Inside Telecom. His work operates within NTNU's telecommunications research ecosystem, focusing on practical implementations of network optimization techniques for real-world video delivery systems.

• Dimensional Metrology
• Quantitative 3D Reconstruction
• Computer Vision
• +۵ مورد دیگر

Alex Lallement is an Associate Professor at the University of Strasbourg , affiliated with the MIV department and the IMAGeS team (IMages, leArning, Geometry and Statistics). His research focuses on dimensional metrology, quantitative 3D reconstruction, computer vision, polarimetric imaging, and associated image processing applications. Key contributions include: Research : Systems knowledge base for computer vision, controlled feature extraction, 3D reconstruction automation, and polarization-based analysis for transparent objects. Supervised Theses : Ammar Hannachi (in progress): Multimodal imaging and interactive planning for 3D reconstruction and dimensional metrology (co-supervised with Ernest Hirsch, Sophie Kohler). Romain Roux (2009): 3D Shape recovery of transparent objects based on polarization state of light analysis (co-supervised with Ernest Hirsch, Jihad Zallat). Redouane Khemmar (2005): Controlled extraction of image features and 3D automation of 3D reconstruction: Application to vision-based dimensional measurement (co-supervised with Ernest Hirsch). Teaching : Object-oriented programming (C++), software tools for signal processing and image, and man-machine interface (Microsoft .NET) at Telecom Physique Strasbourg for 1A and 2A students. Contact: alex.lallement@unistra.fr .

Peter Wulfمشاهده پروفایل

استاد

• Fluid Mechanics
• Computational Fluid Dynamics
• Numerical Simulation
• +۴ مورد دیگر

Peter Wulf serves as Professor for Technical Mechanics and Numerical Flow Simulation at the Department of Mechanical Engineering and Production, Faculty of Engineering and Computer Science at Hochschule für Angewandte Wissenschaften Hamburg (HAW Hamburg). Since 2020, he has held the position of Vice President for Research, Knowledge Transfer and International Affairs, overseeing the university's research strategy, innovation transfer initiatives, and global partnerships. His educational background includes a Doctorate in Engineering (Fluid Mechanics) from the University of Bremen (1997), preceded by studies in Mechanical Engineering with focus on Aerospace Technology at RWTH Aachen University (1989-1993) and initial mechanical engineering studies at the University of Paderborn (1987-1989). Prior to his academic career, he gained substantial industry experience at Bayer MaterialScience AG and MAN Roland Druckmaschinen AG. Professor Wulf's research expertise centers on Computational Fluid Dynamics (CFD) with specialized focus on multiphase flows, fluid-structure interaction, and wave energy conversion systems. His work bridges theoretical mechanics with practical engineering applications, particularly in sustainable energy solutions. He leads significant research initiatives including the X-Energy project and its subprojects, demonstrating his commitment to technological innovation in mechanical engineering applications. As an academic leader, he previously served as Head of the Institute for Computational and Applied Mechanics and Mechatronics (2010-2020) and remains active in the Institute for Computer-oriented and Applied Mechanics and Mechatronics (ICAMM). His administrative responsibilities encompass oversight of the Promotionszentrum (doctoral programs), Campus Weiterbildung (continuing education), go-2-prof*in program, Competence Center, and GründungsService (startup support).

Hien Nguyenمشاهده پروفایل

دانشیار

• User Modeling
• Information Retrieval
• Human-Computer Interaction
• +۱۳ مورد دیگر

Hien Nguyen is an Associate Professor in the Department of Computer Science at the University of Wisconsin-Whitewater , where she has been employed since Fall 2005. She holds a Ph.D. in Computer Science from the University of Connecticut (2005), a Master’s degree from the University of Wisconsin-Milwaukee (1999), and a Bachelor of Science in Informatics and Applied Mathematics from Hanoi University of Technology (Vietnam). Her career spans industry experience at 3C Inc. and the United Nations Development Programme before transitioning to academia. Education: B.Sc. Informatics and Applied Mathematics, Hanoi University of Technology M.Sc. Computer Science, University of Wisconsin-Milwaukee Ph.D. Computer Science, University of Connecticut Research Interests: Hien Nguyen’s interdisciplinary research focuses on user modeling , information retrieval , human-computer interaction , collaborative filtering , and human factors . She integrates system-centered and user-centered approaches to improve information retrieval performance through formal knowledge representations in artificial intelligence. Article Trends: While her core research aligns with computer science, recent publications span medical informatics, pharmacology, public health, and environmental science, indicating interdisciplinary collaborations. Topics include genomic studies in Vietnam , transnational caregiving , AI in healthcare , and environmental monitoring systems . Grants: Notable grants include a $200,000 award (2007–2010) from IAPRA/DTO for collaborative problem-solving frameworks and a $50,000 award (2015–2016) from the Office of Naval Research for real-time inverse reinforcement learning . Professional Service: She has served on program committees for conferences like User Modeling and Personalization (2010) and FLAIRS (2008–2016). She has chaired departmental committees at UW-Whitewater and reviewed for journals such as IEEE Transactions on Systems, Man and Cybernetics and Journal of Intelligent Information Systems .