جست‌وجوی استاد و پژوهشگر

• Communication Studies
• Media Studies
• Cultural Studies
• +۷ مورد دیگر

Grant Kien, PhD, is a Professor and Program Director of the MA in Communication at California State University, East Bay's Department of Communication. His research focuses on digital culture, postmodernism, media studies, and actor-network theory, with a particular emphasis on memes, cancel culture, and the intersection of technology with everyday life. He authored Communicating with Memes: Consequences in Post-Truth Civilization and has published widely on topics such as epistemology, transgression, and global networks. Kien’s work often employs qualitative methods and ethnographic approaches to analyze how technology shapes sociocultural dynamics. His articles span themes like the post-truth era, power structures in virtual environments, and the legacy of political figures through an ANT lens. Notably, he explores how digital platforms transform communication, privacy, and identity. Despite his prolific output, no scientific awards are mentioned in the provided texts. As a program director, Kien oversees the MA in Communication curriculum, reflecting his commitment to advancing interdisciplinary scholarship in communication studies. While no advising records or grants are detailed here, his academic role suggests active involvement in graduate education and possibly research initiatives. The Department of Communication at CSUEB is part of the university’s broader commitment to innovative, technology-driven academic programs.

Luigi Manfrediمشاهده پروفایل

مدرس ارشد

• Endorobotics
• Gastrointestinal Tract Screening
• Soft Materials Engineering
• +۳ مورد دیگر

Luigi Manfredi is a Senior Lecturer and Principal Investigator at the University of Dundee's Respiratory Medicine and Gastroenterology department. He completed his PhD and Post-Doc at the Biorobotics Institute in Pisa, Italy, before joining Dundee in 2011 as Project Coordinator for the ERC-funded CODIR project and Co-Investigator for CARPE. His research focuses on developing soft materials and endorobots for GI tract screening and treatment. Key achievements include winning the Surgical Innovation Award (2013) and Dundee Venture Competition (2020) for low-cost colonoscope proposals. Education: PGCAPHE Fellowship Module with Advance HE (2022–2024). Research expertise spans actuators, colonoscopy technologies, bio-inspired robotics, and shape-memory alloys. He has led projects like SoftEn (EPSRC-funded) and Softech High Growth Phase 1. Over 56 publications highlight contributions to medical robotics and endoscopic innovation. Recent work emphasizes ergonomics in robotic endoscopy, monocular depth estimation for autonomous colonoscopy, and AI-driven solutions for colorectal screening. Editorial roles include Frontiers in Robotics and AI. Active collaborations involve global institutions, focusing on self-supervised depth estimation and lumen detection technologies.

Enzo Mastinuمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Prosthetics and Neuroprosthetics
• Embedded Systems
• +۴ مورد دیگر

Enzo Mastinu is an electronic engineer specialized in embedded systems for biomedical applications, holding an Associate Professor qualification in Bioengineering. He earned his bachelor's and master's degrees in electronic engineering from the University of Cagliari and a PhD in biomedical signals and systems from Chalmers University of Technology, Sweden. His research focuses on advanced prosthetics and neuroprostheses for upper limb amputations, incorporating embedded systems design, control algorithms, sensory feedback, signal processing, AI, and osseointegration. Key projects include the HAND and HAND2 initiatives, funded by the EU and the Italian Ministry of Research, aiming to develop semi-autonomous prosthetic hands. He has published 25 journal articles (75% in Q1) and 21 conference papers, contributing to a PCT patent. Mastinu is a Senior Member of IEEE EMBS and RAS, reviews for ~90 journals/conferences, and edits Transactions on Medical Robotics and Bionics (IEEE) and Scientific Data (Nature). He has supervised ~40 students across PhD, master's, internships, and postdocs, and teaches courses in biomedical engineering and STEM education. His scientific awards include the Marie Skłodowska-Curie Fellowship (2021), National Qualification as Associate Professor (2024), and a Young Researcher Grant (2025). Research emphasizes clinical implementation of prosthetics with neural feedback and intuitive control, as highlighted in high-impact journals like the New England Journal of Medicine.

Gady Agamمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۸ مورد دیگر

Dr. Gady Agam is an Associate Professor in the Department of Computer Science at Illinois Institute of Technology (Illinois Tech), affiliated with the College of Computing. His primary research focuses on Computer Vision, Machine Learning, and Artificial Intelligence, with applications in medical imaging, remote sensing, and security systems. He leads the Visual Computing Lab, which explores topics such as deep learning, geometric modeling, and computational methods for data analysis. Dr. Agam teaches courses including CS584 (Machine Learning), CS512 (Computer Vision), and CS577 (Deep Learning). His research has resulted in over 100 peer-reviewed publications and collaborations with organizations like SPIE. He has held leadership roles in conferences such as Document Recognition and Retrieval and has contributed to industry-relevant projects like the MuscleX software. His academic contributions include advancements in image registration, feature detection, and automated medical diagnostics. He actively supervises graduate students in his lab and maintains partnerships with academic and industrial entities to drive innovation in visual computing technologies.

• Assistive Technology
• Computer Vision
• Human-Computer Interaction
• +۲ مورد دیگر

Maria Paola Forte is a Doctoral Researcher at the Max Planck Institute for Intelligent Systems, working across the Haptic Intelligence and Perceiving Systems departments. She holds a BSc in Biomedical Engineering from the University of Genova and an MSc in Bioengineering from Politecnico di Milano. Her PhD research focuses on developing interdisciplinary assistive technologies, particularly for sign language capture, combining computer vision with sensor-based approaches. Her research interests center on creating technology for people with sensory or motor deficits, with applications in robotic surgery and human-computer interaction. Key areas include assistive device development, motion capture systems, and haptic feedback interfaces. Her work leverages expertise in biomedical engineering, machine learning, and real-time systems. Publications consistently demonstrate interdisciplinary work in surgical robotics and accessibility technology. Recent articles show a progression toward human-centered applications of computer vision, with emerging focus on wearable bioimpedance sensing and avatar reconstruction for sign language.

• Human-Centered Systems
• Human-Computer Interaction
• Artificial Intelligence
• +۹ مورد دیگر

Alessio Malizia is a Professor of User Experience Design at the University of Hertfordshire, UK, and concurrently holds a full Professorship at the Computer Science Department of the University of Pisa, Italy. His research focuses on Human-Centered Systems, Human-Centered AI, and Design Fictions, emphasizing ethical AI, user participation, and the integration of visual programming languages. He has held roles at institutions including Sapienza University of Rome, IBM, Silicon Graphics, and Xerox PARC, where he researched neural networks and gestural interfaces. His work bridges academia and industry, addressing challenges in healthcare, agriculture, and education. Malizia’s career includes visiting research at Xerox PARC, associate professorship at the University Carlos III of Madrid, and senior lecturer roles at Brunel University London. He is an ACM Distinguished Speaker and actively promotes democratizing AI through tools like BlocklyBias and PyFlowML. His research spans touchless interfaces, collaborative design methodologies, and AI explainability. Key contributions include frameworks for socio-technical process modeling in agriculture, tools for bias detection in AI data, and visual languages fostering user participation in ML systems. His work on telemedicine and healthcare AI emphasizes co-design and trusted AI systems. Recent studies explore end-user development for smart environments, digital agriculture, and computational thinking education through tools like TAPASPlay. Awards: ACM Distinguished Speaker Key Interests: Human-AI Interaction, UX Design, AI Ethics, IoT Ecosystems, and Co-Creation Methodologies Notable Projects: Figmant, ModeLLer, and the Chatbot Usability Scale validation His grants and collaborations focus on improving AI transparency, user-centered design processes, and participatory innovation in technology adoption across sectors.

Dale Lawrenceمشاهده پروفایل

استاد

• Astrodynamics
• Satellite Navigation Systems
• Autonomous Systems
• +۱۰ مورد دیگر

Dale Lawrence is a Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder, where he has served continuously since 1991. He directs research at the Research and Engineering Center for Unmanned Vehicles (RECUV), focusing on astrodynamics, satellite navigation systems, and autonomous aerial platforms for atmospheric science. His academic credentials include: PhD in Electrical Engineering from Cornell University (1985) MS in Electrical Engineering from Cornell University (1982) BS in Electrical Engineering from Colorado State University (1980) Professor Lawrence's research spans spacecraft attitude control , vibration isolation , and adaptive control systems , with pioneering work in haptic interfaces for scientific visualization and teleoperation. His recent work emphasizes unmanned aerial systems for Arctic atmospheric research, particularly turbulence measurement and boundary layer studies using custom UAV platforms like DataHawk. This work bridges aerospace engineering with climate science through field campaigns such as MOSAiC and LAPSE-RATE. His publication record reveals a clear trajectory toward Arctic atmospheric science and UAV-based sensing , with increasing focus on turbulence dynamics, sea-ice interactions, and autonomous system validation. The work consistently integrates hardware development (sensors, UAVs) with field deployment in extreme environments. Selected honors include: Best Commercial Potential Award at IEEE Symposium on Haptic Interfaces (2004) Best Paper Presentation at American Control Conference (1994) Teaching Excellence Awards from University of Cincinnati (1990, 1991) Distinguished Publication Award from Martin Marietta Astronautics (1988) Professor Lawrence has led major field campaigns including MOSAiC and LAPSE-RATE, securing funding from NSF and DOE for projects like ERASMUS and ShUREX. His RECUV team develops specialized UAV platforms (DataHawk, HELiX) for atmospheric research, with recent work focusing on machine self-confidence for autonomous decision-making in complex environments. While student advising details aren't specified, his projects involve extensive student participation in hardware development and field operations. He maintains active leadership in Arctic atmospheric research through the DataHawk UAV program and HELiX multispectral systems, with ongoing work on gossamer propeller technology for high-altitude applications and machine self-confidence frameworks for autonomous systems.

• Artificial Intelligence
• Extended Reality
• Computer Science
• +۳ مورد دیگر

Pasquale Cascarano is a fixed-term Assistant Professor at the University of Bologna , affiliated with the Department of the Arts . His research bridges computer science with creative industries (cinema, art, fashion) and biomedical applications, focusing on Artificial Intelligence and Extended Reality paradigms. He collaborates with national and international institutions on interdisciplinary projects. Institutional Affiliation: University of Bologna Academic Role: Assistant Professor (fixed-term) Research Interests center on integrating AI and XR into creative sectors and healthcare, with emphasis on: Generative AI for immersive environments Medical imaging and diagnostics Digital heritage preservation XR-based educational tools 3D visualization techniques Creative technology applications Recent Publications highlight trends in: Medical XR for surgical training AI-driven image restoration LLM integration with AR/VR Privacy in collaborative AR Fashion and cultural heritage digitization Deep learning for video enhancement

Maria-Luciana Blahaمشاهده پروفایل

استادیار

• Intelligent Automation
• Business Management
• Technology Adoption
• +۴ مورد دیگر

Maria-Luciana Blaha is an Assistant Professor in Business Management and Intelligent Automation at Heriot-Watt University, affiliated with the School of Social Sciences and Edinburgh Business School. She leads the Intelligent Automation Systems (IAS) Lab and coordinates the Graduate Apprenticeships in Business Management Year 1 program. With a PhD from the University of Aberdeen and extensive professional experience across sectors, her research focuses on AI, RPA, chatbots, and their impact on organizational behavior. She was awarded the 2023 Early Career Researcher of the Year by the School of Social Sciences. Education : PhD in Business Management, University of Aberdeen (Elphinstone Scholarship, British Federation of Women Graduates Bursary) Research Interests : Blaha investigates Intelligent Automation systems, posthumanism, organizational behavior, and ethical AI adoption. Her work bridges science/technology studies, business management, and computing science. Current projects include automation in Ghana/UK manufacturing, ethical AI frameworks for healthcare, and generative AI in HR. Grants & Projects (2025-): TransiT: Decarbonisation via Digital Twinning (EPSRC) Lighthouse Project: SME Manufacturing Audit (Innovate UK) Local Authority AI Readiness Review (Interface Scotland) 2024 Projects : Thermo Fisher/National Robotarium AKTP (Innovate UK) Extend Robotics Feasibility Study (Interface Scotland) Media & Outreach : Blaha contributes to Scottish AI Alliance initiatives, speaks globally on AI/automation, and engages in public lectures like the 'Age of AI' series. Her media features include Financial Times and pandemic-era fact-checking insights. Labs & Teams : Leads the IAS Lab, collaborates with National Robotarium, and oversees AKT projects with industry partners.

• Neurosymbolic AI
• Answer Set Programming
• Visual Question Answering
• +۳ مورد دیگر

Nelson Nicolas Higuera Ruiz is a PreDoc Researcher at the Vienna University of Technology, affiliated with the Faculty of Informatics' Knowledge-Based Systems research group. His work bridges logic programming and deep learning for explainable AI. Research Focus: Neurosymbolic AI, Visual Question Answering (VQA), Answer Set Programming (ASP), and hybrid reasoning systems Projects: Leads optimization research in the LCS (2017–2025) project, developing neurosymbolic approaches for intelligent systems Key Contributions: Pioneering adaptive large-neighbourhood search algorithms for ASP optimization, modular neurosymbolic architectures, and contrastive explainability frameworks for VQA Collaborations: Active in international workshops and conferences including IJCAI, AAAI, and CLeaR, frequently collaborating with researchers like Thomas Eiter and Johannes Oetsch Publications: Focus on neurosymbolic integration, optimization algorithms, and explainability across AI, logic programming, and computer vision domains

Colin Conradمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Cognitive Neuroscience
• Educational Technology
• +۳ مورد دیگر

Colin Conrad is an Associate Professor of Digital Innovation at Dalhousie University’s Faculty of Management. He also serves as Co-Director of the College of Digital Transformation and Principal of the Cognition and Organizations Research Group. His research focuses on interdisciplinary projects spanning information systems, computer science, and cognitive neuroscience, with particular emphasis on human factors in educational technology and artificial intelligence. His work is supported by NSERC, CFI, and Mitacs. Research interests include mind wandering measurement via EEG, AI ethics, human-AI interaction, and neurophysiological impacts of digital technologies. He explores topics such as virtual teacher perception, privacy calculus in AI systems, and cognitive state awareness in human-AI collaboration. His recent studies address challenges in remote work ergonomics, digital transformation during crises, and legal/ethical aspects of brain-computer interfaces. His publications analyze behavioral responses to cybersecurity notifications, virtual influencer trust dynamics, and adaptive online learning systems. Current projects investigate the cognitive effects of AI-generated media and the neurophysiological foundations of attention in digital environments. Colin’s research is funded through grants emphasizing interdisciplinary innovation and societal impact. He collaborates with industry partners to translate neuroscientific insights into practical applications in education and workplace design.

Elena Pirogovaمشاهده پروفایل

استاد

• Biomedical Engineering
• Biomaterials
• Therapeutic Peptides
• +۳ مورد دیگر

Professor Elena Pirogova is a faculty member of RMIT University’s School of Engineering, part of the STEM College. She holds the roles of Professor and Associate Dean of the Electrical & Biomedical Engineering Discipline. Her research focuses on biomedical engineering, biomaterials, therapeutic peptides, and biological effects of electromagnetic radiation. She earned her PhD in Biomedical Engineering from Monash University (2002) and a BEng (Hons) in Chemical Engineering from the National Technical University of Ukraine (1991). Academic Positions: Professor (2020–present), Associate Dean (2018–present), and roles in research leadership since 2002. Teaching: Coordinates courses in biomedical engineering design, project management, and professional engineering projects at both undergraduate and postgraduate levels. Research: Over 170 publications in areas like tissue engineering, microfluidics, and wearable technologies. Key projects include biofabrication of scaffolds, electromagnetic radiation effects on cells, and smart textile applications. Supervision: Advises on advanced projects involving biomaterials, medical devices, and interdisciplinary engineering solutions. Her work bridges engineering and healthcare, emphasizing translational research in regenerative medicine and medical technology. She is active in curriculum innovation, particularly post-pandemic educational strategies.

Babar Jamilمشاهده پروفایل

مدرس

• Robotics
• Control Engineering
• Sensors
• +۵ مورد دیگر

Dr. Babar Jamil is a Lecturer in Electrical Engineering at the University of York's School of Physics, Engineering and Technology. His expertise spans robotics, sensors, control engineering, and mechanism design. He holds a Ph.D. from Hanyang University (South Korea) and conducted postdoctoral research at Sungkyunkwan University, where he also served as a Research Professor. His current research focuses on safe human-robot collaboration systems, novel control algorithms for robotic systems, and smart structures through sensor integration. Education: Ph.D. in Electrical and Electronic Engineering, Hanyang University, South Korea Postdoctoral Researcher, Sungkyunkwan University, South Korea Research Interests: Developing hybrid robotic manipulators combining soft and rigid actuation Designing proprioceptive sensors for extreme environments Advances in pneumatic artificial muscles and soft actuators Integration of machine learning in robotics control systems Publications: Recent work emphasizes soft robotics actuators, sensor design, and human-robot interface innovations. Key themes include energy-efficient actuation, sensorized robotic fingers, and pumpless pneumatic systems. Labs/Teams: Leads robotics research at York, focusing on collaborative robotics and sensor-actuator integration. Maintains an active research group through his UoY Robotics website .

• Rehabilitation Engineering
• Biomedical Engineering
• Assistive Technology
• +۳ مورد دیگر

Dr. Aileen Näf is affiliated with the Rehabilitation Engineering Lab at ETH Zurich as a Researcher. She holds a position in the Professorship for Rehabilitation Engineering, contributing to interdisciplinary research at the intersection of engineering and healthcare. Her work focuses on advancing assistive technologies and biomedical solutions for rehabilitation purposes. Affiliation: ETH Zurich, Department of Rehabilitation Engineering Location: Gloriastrasse 37/39, 8092 Zürich, Switzerland Though no specific research topics are detailed in the provided text, her affiliation suggests expertise in areas such as prosthetics, neural interfaces, and medical robotics. No awards, grants, or publications are listed here, indicating a focus on applied research or early career stage.

• Biometrics
• Biometric Systems
• Computer Vision
• +۵ مورد دیگر

Raul Sanchez Reillo is a Full Professor at Universidad Carlos III de Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on biometric systems, mobile authentication, and security technologies. Key areas include presentation attack detection, vein recognition, and ECG biometrics. He leads projects involving smartphone-based biometric solutions, 3D printed markers, and standards development for biometric interoperability. Research interests span multiple modalities: fingerprint authentication, dynamic signature verification, gait recognition, and vascular biometrics. He emphasizes usability and accessibility in mobile environments, exploring ergonomics and user interaction challenges. His work integrates machine learning (transformers, RNNs) with hardware solutions like FPGA-based systems. Publications highlight innovations in spoofing detection, medical applications (ECG/vein analysis), and low-cost hardware implementations. He contributes to European standards (BioAPI, Hand Data Interchange Format) and evaluates security practices for R&D compliance with EU data protection regulations. Current initiatives include enhancing biometric systems for critical infrastructure security and improving accessibility for elderly users. Active in interdisciplinary collaborations, he leads the Mobile Pass project evaluating user interaction in biometric systems. His lab (GUTI) develops open testing methodologies for biometric performance under Common Criteria and environmental stressors. Recent work addresses vulnerabilities in mobile fingerprint sensors and the ethical implications of biometric-as-a-service models.