جستجوی استاد راهنمای دانشگاهی

Shan Jayasingheمشاهده پروفایل

مدرس

• Business Analytics
• Human Resource Management
• Agile Project Management
• +۵ مورد دیگر

Shan Jayasinghe is a Lecturer in Business Management at Solent University, UK, specializing in areas such as HRIS adoption, business analytics, agile methodologies, and generative AI applications in education. His research spans interdisciplinary topics including IT adoption in hybrid work environments, customer engagement strategies, and organizational behavior in post-pandemic contexts. His work frequently explores Sri Lankan industries, focusing on software, apparel, construction, and IT sectors. Key themes include the integration of technologies like AI, BIM tools, and AR in driving operational efficiency and customer satisfaction. Jayasinghe has collaborated on multiple peer-reviewed articles and conference proceedings, with recent outputs emphasizing agile project management, CI/CD pipelines, and the application of generative AI in education and corporate training. His publications often employ frameworks like DIT, TAM, and UTAUT to analyze technology adoption. He has no listed awards but maintains active research collaborations, evidenced by contributions to IEEE conferences and journals like Education Sciences and Journal of Contemporary Management Issues .

Santiago Berrezuetaمشاهده پروفایل

مدرس

• Virtual Reality
• Augmented Reality
• eXtended Reality
• +۷ مورد دیگر

Santiago Berrezueta is a Lecturer at the School of Computation, Information and Technology within Technical University of Munich (TUM). He actively contributes to research in Virtual Reality , Artificial Intelligence , and Robotic Assistance , with a focus on applications in Education and Healthcare . 2025 : 10 publications in VR, robotics, and AI ethics. 2024 : 4 co-authored studies on ChatGPT in ADHD therapy and collaborative learning. His research intersects Interactive Learning and Computer Vision , particularly in ADHD treatment , Language disorder detection , and VR-based education . He supervises Bachelor’s/Master’s theses on topics like gaze-based interaction, collaborative VR workflows, and AI-driven therapeutic tools. 2025: Excellent Paper Award at International Symposium on Educational Technology (ISET 2025) 2024: Best Presentation Award at International Conference in Intelligent Environments (IE 2024) He leads courses on Software Engineering and Programming Fundamentals at TUM’s Heilbronn campus. His work also explores IoT applications and ethical AI in vulnerable populations.

Vasileios Belagiannisمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Dr. Vasileios Belagiannis is an Assistant Professor at the University of Ulm within the Faculty of Engineering, Computer Science and Psychology. He holds a BEng in Engineering from Democritus University of Thrace (2009), an MSc in Computational Science and Engineering from TU Munich (2011), and a PhD from TU Munich (2015), supervised by Prof. Nassir Navab and Dr. Slobodan Ilić. Previously, he served as a postdoctoral research assistant at the University of Oxford's Visual Geometry Group (Prof. Andrew Zisserman) and worked as a senior researcher at OSRAM. Research Interests: Belagiannis focuses on bridging computer vision and medical applications. His work includes deep learning for object tracking, deformable object modeling, and human pose estimation in surgical contexts. Notable areas include Crowdsourcing for Healthcare , Deep Learning for Regression , and Humans in the Operating Room . Teaching: He leads courses such as Computer Aided Medical Procedures , Medical Augmented Reality , and Computational Surgineering . Recent lectures include Deep Learning for Medical Applications and Modern Computer Vision Methods . Labs & Affiliations: He collaborates with the Chair of Computer Science Applications in Medicine (Prof. Navab) and contributes to research labs like NARVIS and DHM. His work intersects robotics, ultrasound, and vision-language systems in surgical data science.

Mai Buiمشاهده پروفایل

مدرس

• Computer Vision
• Medical Image Analysis
• Surgical Robotics
• +۵ مورد دیگر

Dr. Mai Bui is a Lecturer at the Deutsches Herzzentrum München (German Heart Center Munich), affiliated with the Chair of Computer Science Applications in Medicine under Prof. Nassir Navab. Her research focuses on integrating advanced computer vision and deep learning techniques into medical applications, particularly in surgical robotics, image-guided interventions, and medical augmented reality. She has contributed to critical areas like catheter tracking, pose estimation, and real-time medical imaging analysis. Dr. Bui teaches multiple courses including Computer Aided Medical Procedures , Medical Augmented Reality , and Introduction to Surgical Robotics . Her work emphasizes low-dose imaging solutions and robust navigation systems for minimally invasive procedures. She collaborates with interdisciplinary teams at labs such as DHM, IFL Lab, and NARVIS Lab to advance translational research in medical AI. Her recent publications highlight innovations in adversarial networks for pose refinement, lightweight camera localization systems, and multimodal inference in ambiguous medical scenes. These contributions address core challenges in surgical navigation and medical device tracking.

• Geometric Deep Learning
• Deep Learning
• Image Retrieval
• +۳ مورد دیگر

Anees Kazi is a researcher and academic affiliated with the Chair of Computer Aided Medical Procedures at the Technical University of Munich (TUM), under Prof. Nassir Navab. He holds a PhD in Graph Deep Learning for Healthcare Applications and has been involved in various research projects focusing on medical imaging and AI-driven solutions. His academic roles include teaching multiple courses such as Computer Aided Medical Procedures I , Medical Augmented Reality , and Deep Learning for Medical Applications . Education: PhD in Graph Deep Learning for Healthcare Applications (TUM) Masters of Technology in Medical Imaging and Informatics (IIT Kharagpur, India) Bachelor of Engineering in Electronics and Telecommunication (Dr. Babasaheb Ambedkar Technological University, India) Research Interests: Geometric Deep Learning, Medical Image Analysis, Ophthalmology Applications, and AI-driven solutions for healthcare modalities like OCT and X-Ray. He leads projects on fracture classification via deep learning, retinal disease classification using real clinical data, and graph-based methods for disease prediction. Awards: MICCAI Student Board Incentive 2020 TUM Global Incentive Award 2019 Elsevier Best Paper Award (2016, Second Author) DAAD Scholarship (2015-2016) Professional Activities: Served as MICCAI Student Board President (2020), IEEE Student Member, and reviewer for NeurIPS, MICCAI, and journals like IEEE Transactions on Medical Imaging . Active in labs such as DHM (Deutsches Herzzentrum München) and NARVIS Lab.

• Robotics
• Autonomous Systems
• Motion Planning
• +۳ مورد دیگر

Elias Xidias is an Assistant Professor at the Department of Product & Systems Design Engineering, University of the Aegean. His academic focus is on Motion Planning of Autonomous Moving Units . He holds a Ph.D. in Robotics from the University of Patras and has worked as a Research Engineer in the Robotics Intelligent Transportation Systems (RITS) team at INRIA de Paris. His research interests span Robotic Logistics , Intelligent Transportation Systems , and Human-Robot Collaboration , aiming to enhance automation in manufacturing and transportation through advanced algorithms and autonomous systems. Education : Ph.D. in Robotics, University of Patras (2009) M.Sc./B.Sc. in Mathematics, University of Patras (2003) Research Interests : Xidias' work focuses on optimizing autonomous systems in dynamic environments, including path planning for car-like robots, energy-efficient task scheduling, and collaborative robotics. He explores applications in warehouse automation, maritime navigation, and multi-robot coordination. His methodologies often integrate fuzzy logic, genetic algorithms, and probabilistic models to tackle real-world challenges in logistics and manufacturing. Key Contributions : Developed algorithms for AGV routing and motion planning in flexible manufacturing systems. Advanced real-time autonomous navigation techniques for maritime and aerial vehicles. Pioneered the Aegean Ro-Boat Race , fostering innovation in marine robotics. Grants & Collaborations : Xidias has collaborated with institutions like INRIA Paris and contributed to projects such as the RITS team. His work bridges academia and industry, addressing challenges in smart logistics and autonomous systems. Labs & Teams : Associated with the Robotics & Intelligent Transportation Systems research groups, focusing on applied robotics solutions for industrial and urban environments.

• Service-Oriented Architectures
• Data Management
• Cloud Computing
• +۵ مورد دیگر

Dimosthenis Kyriazis is a Professor at the University of Piraeus, affiliated with the Research Center. He currently teaches courses such as C Programming, e-Business, and Information Systems. His research focuses on service-oriented architectures, cloud/edge computing, data management, and healthcare informatics. Kyriazis holds a PhD from the National Technical University of Athens (NTUA) and has contributed to EU-funded projects like BigDataStack and CrowdHEALTH, addressing quality of service, workflow management, and IoT applications. He leads research on data management in cloud/edge environments, socially-enhanced IoT management, and big data applications in sectors like finance and e-health. His expertise spans distributed systems, software engineering, and interdisciplinary collaborations with industries and academia. He has participated in EU working groups on Future Internet Architecture and Cloud QoS&SLAs. Kyriazis actively seeks interns and collaborates on initiatives like AI-driven healthcare platforms (iHELP) and sustainable computing practices. His work emphasizes human-centric AI, data interoperability, and ethical AI frameworks such as AI4Gov for transparent governance. Education: Diploma in Electrical and Computer Engineering (NTUA, 2001), MSc in Techno-economics (NTUA/University of Athens/University of Piraeus, 2004), PhD in Service-Oriented Architectures (NTUA, 2007). Key research areas include federated data marketplaces (FAME), healthcare data integration (holistic health records), and AI applications in finance (DeepVaR). His publications address topics like explainable AI (XAI), defect detection in manufacturing, and environmental risk correlation with health. Grants and collaborations involve coordinating EU projects targeting data governance frameworks, energy-efficient mobility data spaces (Mobispaces), and AI for policy-making (e.g., OECD AI policy analysis). His contributions bridge technical innovation with societal impact through sustainable computing and ethical AI practices.

Mitchell Pryorمشاهده پروفایل

استاد پژوهش

• Robotics
• Automation
• Nuclear Engineering
• +۴ مورد دیگر

Mitchell Pryor is a Research Professor in the Department of Nuclear and Radiation Engineering at the University of Texas at Austin. He specializes in applied robotics and automation, particularly in hazardous environments such as nuclear facilities, energy sectors, and defense applications. Pryor earned his BSME from Southern Methodist University (1993), followed by an MS (1999) and PhD (2002) in Mechanical Engineering from UT Austin. His research focuses on robotics for hazardous environments, including nuclear waste management, autonomous systems, and human-robot collaboration. He leads the Nuclear & Applied Robotics Group (NRG) and co-founded RAPID, an industry affiliate program supporting automation in energy sectors. His work spans robotics in extreme environments, augmented reality interfaces, and task planning frameworks. Key collaborations include Army Futures Command (AFC), NASA, DARPA, and DOE national labs such as INL, LANL, and ORNL. Pryor’s contributions include developing the TeMoto software framework for robotic autonomy, virtual fixture systems, and radiation surveying methodologies. He chairs the ANS Robotics & Remote Systems Division and actively participates in IEEE, ASME, and other professional societies. His research emphasizes interdisciplinary approaches to deploy robotics in complex, uncertain environments for tasks like material handling, mobile manipulation, and environmental monitoring. Notable projects include AR-STAR for real-time robot data modification, MaRMOT for object tracking, and TeMoto 2.0 for task execution formalisms. His work bridges theoretical robotics with practical applications in nuclear safety, energy infrastructure, and defense systems.

Francesca Nonisمشاهده پروفایل

استادیار

• Facial Expression Recognition
• Deep Learning
• Human-Computer Interaction
• +۶ مورد دیگر

Francesca Nonis is an Assistant Professor and Fixed-term researcher at Politecnico di Torino's Department of Management and Production Engineering (DIGEP). She is an invited member of both the College of Architecture and Design and the College of Mechanical, Aerospace, and Automotive Engineering. As part of the 3D LAB research group, she contributes to cutting-edge research in human-computer interaction applications and 3D data visualization. Dr. Nonis specializes in Facial Expression Recognition (FER) using Deep Learning techniques, with a focus on 3D data applications for human-computer interaction. Her research spans multiple domains including virtual reality, affective computing, and cultural heritage preservation. She has developed methodologies for real-time facial expression recognition and has contributed to building spontaneous 3D facial expression databases that have advanced the field of emotion recognition. Her recent publications reveal a strong trend toward interdisciplinary research that bridges computer science, psychology, and cultural applications. She has made significant contributions to metaverse platforms for cultural heritage preservation, user engagement studies using EEG in museum settings, and the development of affective virtual reality environments. Her work consistently applies advanced computer vision and deep learning techniques to solve real-world problems in human-computer interaction. Dr. Nonis has co-authored a national patent titled "Methodology for real-time facial expression recognition" with Federica Marcolin, Luca Ulrich, and Enrico Vezzetti. Her teaching portfolio includes Industrial Technical Drawing and Modeling Design courses across multiple engineering disciplines including Aerospace Engineering, Mechanical Engineering, Chemical and Food Engineering, and Design and Communication programs. As a core member of the 3D LAB research group, Dr. Nonis collaborates on projects involving facial morphology studies, innovative surgical guides, augmented reality applications, and e-learning solutions. The lab's work leverages 3D sensors, augmented and virtual reality, and machine learning techniques to develop applications for medical, security, and marketing domains.

Arsalan Heydarianمشاهده پروفایل

دانشیار

• Intelligent Infrastructure Design
• Smart Transportation Systems
• Mixed Reality (VR/AR) in Construction
• +۲ مورد دیگر

Arsalan Heydarian is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Virginia (UVA) , with affiliations to the UVA Link Lab and Omni Reality and Cognition Lab (ORCL Lab) . His work focuses on user-centered intelligent infrastructure through virtual/augmented reality and data-driven design . Education: Ph.D. in Civil Engineering (USC) M.Sc. in Systems Engineering (USC) M.Sc. in Civil Engineering (Virginia Tech) B.Sc. in Civil Engineering (Virginia Tech) Research Streams: Intelligent built environments Mobility infrastructure design User-centered autonomous vehicles Data-driven mixed reality Construction automation Recent Article Trends: Spanning smart buildings , VR/AR applications , and transportation systems , his publications emphasize human-environment interaction , adaptive infrastructure , and immersive technology in civil engineering. Awards: NSF $1M Grant for inclusive AI education initiatives Labs & Teams: Co-founder of the Omni Reality and Cognition Lab (ORCL) , a leading facility for VR/AR-based infrastructure research and human behavior studies in built environments.

• Communication networks
• Network security
• Software Defined Networks (SDN)
• +۷ مورد دیگر

Dr. Bhargavi Goswami is a lecturer at the School of Computer Science, Queensland University of Technology (QUT), with over 14 years of teaching experience in higher education. Her expertise spans communication networks, network security, and software-defined networks (SDN), where she integrates cutting-edge research into postgraduate teaching. Previously, she served as Assistant Professor and Head of Department (HOD) at CHRIST University and Garden City College in India. Education: PhD in Computer Science from QUT; professional certifications including CCNA and CCNP from Cisco. Dr. Goswami's research focuses on communication networks and network security, with a particular emphasis on Smart Grid Communication Networks, Software Defined Networks (SDN), Cryptography, Cybersecurity, Mathematical Modeling, and Congestion Control in Data Networks. Her current work explores the intersection of Quantum Computing, Machine Learning, and Network Programming to enhance communication security and efficiency. Her 15 most recent publications highlight trends in Smart Grid , SDN , and network security . Key subfields include latency optimization , load balancing , handoff methods , Wi-Fi Mininet , and Beacon controller scalability . Dr. Goswami has led multiple funded research projects, including work on low-latency communication for Smart Grids and P4-based network policies in SDN. She holds two patents and has authored monographs in her field. Her technical certifications and industry engagement underscore her practical contributions to communication systems and network security. She emphasizes ethical technology development and societal impact in her research and teaching.

Richard Joinerمشاهده پروفایل

استاد

• Digital Technology and Learning
• Computer Supported Collaborative Learning
• Digital Games and Learning
• +۵ مورد دیگر

Richard Joiner is a Professor in the Department of Psychology at the University of Bath, where he serves as Deputy Head of Department for Education and Student Experience. He leads research at the intersection of digital technology and education within the Cognition, Affective Science & Technology Laboratories (CASTL). Academic appointment: Professor (since 2015) Administrative role: Deputy Head (Education & Student Experience) Research group: CASTL Research interests center on technology-enhanced learning: Digital technology for physics education Game-based engineering learning with 'Racing Academy' Conflict resolution in collaborative digital environments Gender dynamics in ICT adoption Immersive technology applications Extended mind theory in healthcare education Recent publications demonstrate: AI and VR integration in medical training ITEM framework validation for immersive tech Digital learning equity research Psychological impacts of technology mediation Curriculum innovation through tech Cross-disciplinary educational technology

Jürgen Kurtzمشاهده پروفایل

استاد

• Teaching English as a Foreign Language (TEFL)
• Creativity and Improvisation in Education
• EFL Textbook Analysis and Development
• +۷ مورد دیگر

Jürgen Kurtz is a full Professor of Teaching English as a Foreign Language (TEFL) at Justus Liebig University Giessen since 2011, after holding a full professorship at Karlsruhe University of Education (2001-2011). He served as chair of the English department at JLU Giessen (2013-2015) and has been a visiting professor at Saint Mary’s University (Halifax, Canada). His work bridges theory and practice in EFL education. Education: Dr. phil. in Cognitive Psychology/First Language Acquisition (1989, summa cum laude), Habilitation in TEFL (2000) Research Focus : Improvisation and creativity in structured EFL learning environments Textbook analysis, development, and digital innovation Hybrid learning models for pre-service EFL teacher education Standards-based instruction and neoliberal critiques in language education Publications & Editorial Work : Author of books and articles on EFL pedagogy, textbook use, and digital learning. Speaker of the editorial board for Gießener Beiträge zur Fremdsprachendidaktik (since 2013), overseeing over 50 publications in the series. Professional Contributions : Founder of the TEFLhybrid@JLU project, developer of innovative EFL courses, and active in in-service teacher training through The English Academy (TEA) . His work explores augmented reality applications and critical approaches to textbook use.

Sarabjit Kaurمشاهده پروفایل

مدرس

• Consumer Behaviour
• AI in Marketing
• Technology Adoption
• +۵ مورد دیگر

Sarabjit Kaur is a Lecturer at the School of Business, Monash University, Malaysia. She holds a PhD in Business & Management from the University of Nottingham Malaysia Campus, awarded in 2021. Her academic work contributes to the UN Sustainable Development Goals, particularly in the area of quality education and responsible consumption. Her research focuses on consumer behaviour, AI in marketing, and digital transformation in retail. Key areas include technology adoption models (e.g., TAM), augmented reality in e-commerce, AI applications in fashion, and service recovery dynamics. She employs both quantitative and qualitative methodologies to explore consumer intentions and emotional responses in digital and service contexts. Her recent publications span high-impact journals and book chapters, addressing topics such as AR in online shopping, AI-driven fashion innovation, and psychological models in consumer satisfaction. These works reflect a strong interdisciplinary approach, bridging marketing, information systems, and behavioural psychology. Sarabjit actively contributes to the academic community through peer review for journals like the Journal of Retailing and Consumer Services and participation in academic events such as the Life Beyond Graduation Conference and Women and Wealth seminar. She is currently accepting PhD students and continues to expand her research in digital consumer behaviour. PhD in Business & Management, University of Nottingham Malaysia Campus (2018–2021) She has no listed scientific awards yet but is actively building her scholarly impact through publications and academic engagement. Sarabjit Kaur advises PhD students and is involved in research collaborations at the country/territory level, though specific grant details are not mentioned. Her work is supported by Monash University and involves external academic engagement, including expert advising and program committee roles. She is part of an active research network focused on digital marketing, consumer psychology, and sustainable business practices, with recent outputs indicating strong collaboration in Southeast Asia and international academic circles.

Angel Tanمشاهده پروفایل

پژوهشگر

• Video-based Learning
• Online Learning
• Higher Education
• +۳ مورد دیگر

Angel Tan is a Researcher at the School of Psychology within the College of Health and Life Sciences at Aston University. Her work focuses on technology-enhanced learning, critical thinking skills development, and innovative educational methodologies. She has collaborated on projects involving video-based learning interventions, precision teaching, and exergaming in virtual reality environments. Affiliations: Aston University, School of Psychology Her research interests include online learning dynamics, student perceptions of digital tools, and the efficacy of bite-sized educational content. She explores how technology can address challenges in statistics education and foster critical thinking through structured interventions. Tan's recent publications analyze the impact of video-based learning on university students’ engagement and skill acquisition, alongside studies on VR applications in public health contexts. No scientific awards are explicitly mentioned in the text. Her advising and grant activities are not detailed here, though her research often involves interdisciplinary collaborations. She has not been associated with specific labs or teams beyond her institutional affiliation.