جست‌وجوی استاد و پژوهشگر

SJ Kimمشاهده پروفایل

دانشیار

• Intelligent Interactive Media and Systems
• Human-Computer Interaction
• Augmented and Virtual Reality
• +۵ مورد دیگر

SJ (Si Jung) Kim, Ph.D. is an Associate Professor in the Department of Entertainment Engineering and Design at the Howard R. Hughes College of Engineering, University of Nevada, Las Vegas (UNLV) , and serves as the founding director of the Digital Experience Lab (DEX Lab) . With more than 20 years of interdisciplinary experience spanning human-computer interaction, mechatronics, and intelligent systems, he leads cutting-edge research that bridges cyber-physical systems and interactive media to enhance user experiences. Education: Ph.D. in Human-Computer Interaction (HCI) M.S. in Robotics B.S. in Electronic/Mechatronics Engineering Research Interests: Dr. Kim’s work centers on intelligent interactive interfaces and technologies grounded in human-factors theory and HCI principles. Core areas include: Design and evaluation of immersive AR/VR systems Machine-learning-driven human augmentation Cyber-physical systems that seamlessly merge physical and digital worlds User-centered design of next-generation entertainment and educational technologies His research agenda emphasizes interdisciplinary collaboration to push technological boundaries while ensuring meaningful human benefit. Publication Landscape: Across 50+ peer-reviewed works from 1998 to 2024, Dr. Kim’s scholarship reveals three dominant trajectories: (1) convergence of mixed reality and IoT/digital-twin ecosystems, (2) empirical studies on user presence, cognition, and performance in virtual environments, and (3) development of novel hardware–software platforms for education, healthcare, and entertainment. These contributions collectively advance the theoretical and practical frameworks for intelligent interactive systems. Professional Appointments & Collaborations: Associate Professor, UNLV (current) Director, Digital Experience Lab (DEX Lab) Former roles: Samsung Electronics, Korea Institute of Science & Technology (KIST), Electronics and Telecommunications Research Institute (ETRI), and HP Labs, Palo Alto (intern) Labs & Teams: The DEX Lab under Dr. Kim’s direction is dedicated to exploring and advancing intelligent interactive media and systems. The lab fosters an environment of collaboration among graduate researchers and industry partners, focusing on projects that integrate AR/VR, AI, and IoT to create transformative user experiences.

• Biomedical Engineering
• Medical Image Processing
• Artificial Intelligence in Healthcare
• +۳ مورد دیگر

Marek Wodziński serves as a Lecturer at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His academic role involves teaching and research at the intersection of engineering and medical diagnostics, with a focus on developing computational solutions for clinical imaging challenges. Contact details include office B-1 room 205, phone +48 12 617 27 11, and email wodzinski@agh.edu.pl. Education: PhD in Engineering (indicated by 'dr inż.' title) His research centers on biomedical image processing and artificial intelligence applications in healthcare, with particular emphasis on medical and veterinary image analysis. Key areas include segmentation of anatomical structures in CT/MRI, explainable AI for diagnostic systems, multimodal assessment of neurodegenerative diseases (especially Parkinson's), and development of large-scale medical datasets. His work bridges computer vision, deep learning, and clinical practice to address real-world diagnostic limitations. Recent publications (2025) demonstrate a cohesive research trajectory focused on advancing AI interpretability in medical imaging, with significant contributions to veterinary radiography, cranial defect reconstruction, and Parkinson's disease assessment through voice/gait analysis. His participation in international challenges like MICCAI, SPPIN, and Fusemycells highlights practical implementations of his work, often involving multimodal data fusion and novel deep learning architectures for segmentation and classification tasks. Scientific Awards: No scientific awards mentioned in available information While specific student names and grant details aren't provided, his extensive publication record in top medical imaging venues indicates active mentorship of graduate researchers and involvement in collaborative international projects. His work frequently appears in challenge competitions, suggesting funding from research consortia focused on AI-driven medical diagnostics. Future directions likely include expanding multimodal approaches for neurodegenerative disease tracking and enhancing cross-species applicability of veterinary AI systems. He collaborates within the Department of Metrology and Electronics' biomedical research group, contributing to projects involving mixed reality diagnostic platforms, cranial implant design, and large-scale medical datasets like MedShapeNet. His team actively participates in global initiatives such as the MICCAI society challenges, focusing on reproducible AI solutions for clinical imaging problems.

Tianmin Shuمشاهده پروفایل

استادیار

• Machine Social Intelligence
• Embodied AI
• Human-Robot Interaction
• +۷ مورد دیگر

Tianmin Shu is an Assistant Professor in the Department of Computer Science at Johns Hopkins University's Whiting School of Engineering, with a secondary appointment in the Department of Cognitive Science. He directs the Social Cognitive AI (SCAI) Lab and is a member of the Data Science and AI Institute. Dr. Shu's educational background includes: PhD in Statistics, University of California, Los Angeles (2019) BS in Electronic Engineering, Fudan University (2014) Dr. Shu's research pioneers machine social intelligence to build human-centered AI systems. His work integrates: Embodied AI for physical-world human-robot collaboration Neurosymbolic methods for multimodal social reasoning Computational models of human social cognition Theory of Mind frameworks for mental state inference Continual learning for adaptive social agents Recent publications (2024-2025) reveal three dominant research thrusts: (1) Multimodal Theory of Mind systems like MMToM-QA for mental state reasoning, (2) Embodied assistance frameworks such as GOMA for goal-oriented human-robot alignment, and (3) Human feedback learning methods including pragmatic feature preferences. His work increasingly bridges language models with world models while exploring neural correlates of social cognition through fMRI studies. Dr. Shu's scientific contributions have been recognized with prestigious awards: Cognitive Science Society’s 2017 Computational Modeling Prize 2020 NeurIPS Best Paper Award (Cooperative AI Workshop) 2022 IROS Workshop Excellent Paper Award 2024 ACL Outstanding Paper Award (MMToM-QA) As director of the SCAI Lab, Dr. Shu leads research on socially intelligent systems through open-source platforms including VirtualHome 2 (multi-agent household simulator) and SimWorld (photorealistic interaction simulator). His lab develops computational frameworks that enable machines to perceive social dynamics, infer intentions, and provide context-aware assistance in complex environments.

Manolya Kavakli-Thorneمشاهده پروفایل

دانشیار

• Virtual Reality
• Human-Computer Interaction
• Augmented Reality
• +۴ مورد دیگر

Dr. Manolya Kavakli-Thorne serves as Associate Professor and Honorary Professor at Macquarie University's School of Computing, specializing in advanced human-computer interaction systems. Her research bridges virtual reality, augmented reality, and gaming technologies with practical applications across diverse domains including healthcare, film production, and transportation safety. Her primary research interests focus on: Virtual reality systems design and implementation Human-computer interaction paradigms Augmented reality applications in real-world contexts Computer game mechanics and serious gaming Gesture recognition systems for 3D modeling Generative adversarial networks for image synthesis Analysis of her recent publications reveals a strong trajectory toward practical implementations of immersive technologies. Her work demonstrates increasing focus on real-world applications of virtual production systems in filmmaking, gamification for behavioral change, and medical applications of VR/AR technologies. The interdisciplinary nature of her research connects computer science with psychology, engineering, and creative industries. Dr. Kavakli-Thorne has secured significant research funding through 15 projects including the Centre for Elite Performance Expertise and Training (CEPET), Virtual-Reality intervention platforms for Cerebral Palsy patients, and Mobile Augmented Reality Systems (MARS) Design. Her collaborative approach is evident in projects spanning lifeguard performance enhancement and virtual reality dome systems development. Her laboratory work centers around immersive simulation environments, virtual production studios, and mobile augmented reality systems. Current research directions include refining generative AI applications in medical imaging, developing more intuitive multi-modal interfaces for 3D modeling, and expanding the use of serious games for safety-critical training scenarios.

Karl Norrmanمشاهده پروفایل

پژوهشگر

• Cryptography
• Formal Methods
• Network Security
• +۴ مورد دیگر

Karl Norrman is an Industry doctoral student and Researcher at the Department of Theoretical Computer Science (TCS) at KTH Royal Institute of Technology, concurrently working as a Security Researcher at Ericsson Research since 2001. His academic appointment at KTH is part-time (20% time allocation), while he spends the majority of his time (80%) at Ericsson, where he holds the formal title of Expert Mobile Network Security. He is supervised by Professor Mads Dam for his doctoral studies and receives partial research funding from the Wallenberg AI, Autonomous Systems and Software Program (WASP). His educational background includes: PhD candidate in Computer Science at KTH Royal Institute of Technology, Department of Theoretical Computer Science (ongoing). Research focuses on formal modeling and proofs for cryptographic protocols using pen-and-paper proofs and mechanized proof-support tools such as Tamarin and EasyCrypt. Master's degree in Computer Science from Stockholm University, Department of Mathematics (2001). Thesis: "RTP Security in 3G Networks." During this work, he contributed to the development of the Secure Real-time Transport Protocol (SRTP), standardized in IETF as RFC 3711. Norrman's research centers on formal methods for security protocol verification , with particular expertise in cryptographic protocol analysis, modeling, and mechanized proof techniques. His work bridges theoretical computer science and practical security applications, focusing on making formal verification tools accessible for industrial adoption. Key research areas include 5G/6G security architectures, privacy-preserving mechanisms for mobile networks, authentication and key agreement protocols, and software security. He advocates for "goal oriented and motivated security designs" that balance theoretical rigor with practical implementation constraints while specializing in translating complex security requirements into implementable solutions for telecommunications infrastructure. Analysis of Norrman's publication history reveals a consistent evolution from foundational work on SRTP (2002-2007) through LTE security analysis (2014-2015) to pioneering 5G security research (2016-2020) and now 6G security exploration (2024). His work demonstrates methodological progression from analyzing existing protocols to designing novel security mechanisms and developing verification frameworks like OpenSAW. A distinctive pattern is his focus on industrial applicability —ensuring theoretical security models translate to real-world implementations, particularly evident in his work on USIM-compatible protocols and error-correcting authentication for noisy wireless channels. Recent publications increasingly address cross-domain challenges like secure federated learning in mobile networks, reflecting the expanding scope of telecommunications security. Professional engagement: Reviewer for ACM CCS 2023, EURO S&P 2023, ACM CCS 2022, NordSec 2022, Vietcrypt 2006, IEEE Telecommunications Journal Active contributor to 3GPP security standardization processes Co-author on multiple Ericsson whitepapers shaping industry security practices Norrman maintains a unique dual affiliation that enables direct translation of academic research into industrial security solutions. At KTH, he contributes to the Theoretical Computer Science group's formal methods research, while at Ericsson he applies these techniques to real-world security challenges in mobile network development. His work on OpenSAW exemplifies this bridge between academia and industry, creating practical tools for automated security testing of component-based software systems. This position allows him to identify emerging security challenges in next-generation networks while maintaining theoretical rigor in his approach.

• Artificial intelligence
• Data mining/analytics and knowledge discovery
• Data science
• +۴ مورد دیگر

Professor Simeon Simoff is Dean of the School of Computer, Data & Mathematical Sciences at Western Sydney University , with a career spanning institutions like University of Technology Sydney , University of Sydney , and Middle East Technical University . His work bridges Artificial Intelligence , Data Mining , and Virtual Worlds , focusing on visual analytics and human-computer interaction . Qualifications: PhD, Moscow Power Engineering Institute MScEng, Moscow Power Engineering Institute BScEng, Moscow Power Engineering Institute Research Interests include AI interpretability , data sonification , and immersive environments , as evidenced by projects like Visual Data Mining (Springer, 2008) and FriendZone Smart Living Space (2010-2011). His 15 most recent publications (2014-2021) span genomics visualization , RFID healthcare applications , and 3D virtual agent design . Awards & Leadership: Founding Director of the Institute of Analytics Professionals of Australia Editor of ACS Conferences in Research and Practice in Information Technology (CRPIT) series Associate Editor for ASCE's Journal of Computing in Civil Engineering Projects include Waves of Words (2018-2022, Australian Research Council) and Deep Learning of Complex Genomics Data (2016-2017, Cancer Institute NSW), with collaborations across Sydney Children's Hospital Network and Intersect Consortium .

Tobias Grundgeigerمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Psychological Ergonomics
• User Experience Design
• +۷ مورد دیگر

Dr. Tobias Grundgeiger is an Associate Professor in Human-Computer Interaction at Julius-Maximilians-University Würzburg, where he serves as an Academic Councillor in the Faculty of Human Sciences. He leads research in the Institute for Human-Computer-Media, specifically within the Psychological Ergonomics group under Prof. Dr. Jörn Hurtienne. Additionally, he holds an Associate Professor/Honorary Research Fellow position at The University of Queensland, Brisbane, Australia. His educational background includes: PhD studies at The University of Queensland, Brisbane, Australia (2007-2010) Psychology studies at the University of Regensburg (2001-2006) Habilitation/Associate Professor qualification in Human-Computer Interaction (2022) Dr. Grundgeiger's research focuses on the interaction between people and technology in socio-technical systems, particularly in healthcare environments such as hospitals, control rooms, and aviation. His work examines how technology can be designed and integrated into complex systems to maximize user benefits while maintaining safety. A secondary research interest explores technology's role in relation to dying and death, aiming to develop technologies that transform engagement with these experiences into meaningful, eudaimonic encounters. His methodological approach combines empirical studies in real-world settings with theoretical frameworks from activity theory, embodied interaction, and psychological need satisfaction. His recent publications reveal a strong focus on AI applications in anesthesiology, human-AI teaming, augmented reality interfaces, and interruption management in safety-critical contexts. A significant portion of his work examines how technology can support clinicians during high-stress medical procedures while maintaining workflow integrity. His research demonstrates how cognitive aids, documentation assistants, and monitoring systems can be designed to align with clinical workflows rather than disrupt them. Dr. Grundgeiger is actively involved in several major research projects, most notably as contact person for the CASSANDRA project (2022-2025), which develops an AI team member for anesthesiology. This €1.34 million project, funded by the German Federal Ministry of Education and Research, aims to create a voice-based virtual agent that supports anesthesia teams through automated documentation and clinical decision support. His teaching responsibilities span both undergraduate and graduate levels, covering Human-Computer Systems, Psychological Ergonomics, Healthcare Usability & User Experience, Eye-Tracking methods, and Theories of Human-Computer Interaction. His pedagogical approach emphasizes practical applications of theoretical concepts in real-world settings.

Ikhwan Kimمشاهده پروفایل

استادیار

• Virtual Reality
• Landscape Architecture
• Depth Perception
• +۳ مورد دیگر

Ikhwan Kim serves as an Assistant Professor in the Department of Landscape Architecture at Istanbul Technical University, where his research bridges virtual reality technologies with landscape architectural design principles. His work focuses on human perception within digital environments and their real-world applications. His primary research domains include: Virtual Reality and Immersive Environments Depth and Time Perception Metrics Human-Emotion Responses in Virtual Landscapes Proxemics in Multi-User VR Spaces Computational Modeling of Environmental Systems Analysis of his 2023-2025 publications reveals a concentrated investigation into perceptual mechanics within virtual landscapes, with significant emphasis on visual cues, monochrome design effects, and grid pattern influences. His research trajectory demonstrates expanding applications from gaming environments (Albion Online) to therapeutic contexts and marine ecosystem modeling, reflecting interdisciplinary innovation at the intersection of computer science and environmental design. Scientific Awards: No awards or fellowships were documented in the source material. Advising and Grants: The available information does not specify doctoral advisees, research grants, or funded projects. Labs and Teams: No dedicated research laboratories, collaborative teams, or institutional partnerships were identified in the provided documentation.

Arthur G Richardsمشاهده پروفایل

استاد

• Trajectory Optimization
• Unmanned Aerial Vehicles (UAVs)
• Model Predictive Control
• +۴ مورد دیگر

Arthur G Richards serves as Professor of Robotics and Control within the Dynamics and Control department at the University of Bristol's School of Engineering Mathematics and Technology. His research specializes in trajectory optimization for aerospace applications, focusing on UAV autonomy, spacecraft rendezvous, and air traffic management through advanced optimization techniques. His educational foundation includes an M.Eng. from the University of Cambridge and S.M./Ph.D. degrees from MIT. Research interests center on solving complex aerospace challenges through: Non-convex optimization for obstacle avoidance in cluttered environments Robust model predictive control for real-time disturbance compensation Distributed optimization enabling large-scale vehicle cooperation Scalable algorithms for high-traffic scenarios with minimal fuel consumption Analysis of his 132 research outputs reveals evolving emphasis on reliability-aware UAV path planning, interpretable reinforcement learning for aircraft control, and swarm robotics with real-world validation. Recent work increasingly integrates machine learning with traditional control theory while addressing practical constraints like sensor noise and system failures. Professor Richards has supervised 22 research students and secured funding for 11 projects, including the active Aerial Robotics for Search and Rescue (2022-2026) and PORTAL (2022-2024) initiatives. His industry collaborations with Thales and focus on technology transfer demonstrate strong academic-industrial integration. He actively contributes to the Smart Networks for Sustainable Futures and Robotics research groups, developing frameworks for multi-robot systems that balance theoretical rigor with practical deployment requirements in conservation, inspection, and exploration scenarios.

Mark Taylorمشاهده پروفایل

پژوهشگر ارشد

• Astronomy
• Data Processing
• Virtual Observatory
• +۳ مورد دیگر

Dr Mark Taylor is a Research Fellow in the School of Physics at the University of Bristol, specializing in astronomical data processing. Previously, he served as a Research Assistant at the University of Cambridge from April 1998 to December 2001. Education: B.Sc. from the University of Bristol Ph.D. from the University of Bristol Taylor's research centers on developing sophisticated software for extracting scientific insights from massive astronomical datasets, particularly catalogues of galaxies and stars. He is the creator of TOPCAT, a widely adopted graphical tool for astronomical data analysis operating within the Virtual Observatory framework—a global ecosystem of interoperable data archives and tools. His work bridges astronomy, computer science, and data engineering to handle modern observational data volumes. His publication record reveals a dual trajectory: core contributions to astronomical data infrastructure (e.g., Gaia mission tools, TOPCAT extensions) and interdisciplinary forays into genetics and psychiatry. The 2025 Nature Human Behaviour paper on twin studies demonstrates expanding applications of his data analysis expertise beyond astronomy, while his foundational work remains concentrated on virtual observatory standards, database integration, and visualization of large-scale astrophysical datasets. No scientific awards are mentioned in the provided text. No information regarding student advising or research grants is available in the provided text. Taylor operates within the Astrophysics research group at Bristol and maintains active international collaborations, evidenced by co-authorship in the Gaia Collaboration and multi-institutional genetics studies. His work shows significant real-world impact with 96 Scopus citations and widespread academic/social media engagement.

Soo Mi Choiمشاهده پروفایل

استاد

• Computer Graphics
• Virtual Reality
• Augmented Reality
• +۷ مورد دیگر

Dr. Soo Mi Choi is a distinguished Professor in the Department of Computer Science and Engineering at Sejong University's College of Engineering. She serves as Director of the Mobile Virtual Reality Research Center (ITRC), a Korean government-designated research facility, and leads the eXtended Reality Research Center. Her academic journey began at Ewha Womans University where she earned her B.S. (1993), M.S. (1995), and Ph.D. (2001). She has held prestigious positions including Visiting Researcher at Fraunhofer Institute for Computer Graphics Research in Germany (1998) and Visiting Professor at ETH Zurich in Switzerland (2008-2009). Ph.D., Ewha Womans University (2001) M.S., Ewha Womans University (1995) B.S., Ewha Womans University (1993) Professor Choi's research spans computer graphics, virtual reality, augmented reality, mixed reality, and their applications in healthcare, urban planning, and education. She has pioneered work in mobile VR content representation, sketch-based interfaces for facial features, virtual freeform architecture with stereo 3D rendering, and medical image analysis. Her recent focus integrates AI with XR technologies, particularly for education in the metaverse, environmental monitoring, and medical applications. Her work demonstrates exceptional interdisciplinary reach, connecting computer science with earth sciences, neuroscience, and education. Analysis of her recent publications reveals a strong trend toward applying extended reality technologies to environmental monitoring and disaster management, with numerous papers on flood susceptibility mapping, land subsidence, and pollution modeling using advanced AI techniques. She has also produced influential work on metaverse education frameworks and VR-assisted learning systems, reflecting her commitment to applying cutting-edge technology to educational challenges. Her research shows increasing integration of generative AI with virtual reality systems. Cum Laude Poster Award (SPIE2001) Korean HCI Society 2011 Excellent Paper Award KCC 2015 Best Paper Award KCC 2013 Best Paper Award KCC 2014 Excellent Presentation Paper Award Professor Choi actively mentors students, with numerous publications showing her as corresponding author guiding first-author students through significant research contributions. She leads international collaborations with institutions including ETH Zurich, Disney Research Studios, Samsung Seoul Hospital, and Seoul National University Hospital. Her Mobile Virtual Reality Research Center (ITRC) serves as a hub for government-funded research projects applying VR technologies to real-world problems. She has supervised numerous undergraduate and graduate students, many of whom have received awards for their collaborative work. As Director of the Mobile Virtual Reality Research Center and the eXtended Reality Research Center at Sejong University, Professor Choi leads a dynamic research team working on cutting-edge XR applications. Her labs collaborate internationally with Swiss institutions through Korea-Switzerland research projects and maintain strong ties with medical institutions for healthcare applications of VR technology. The centers focus on developing intelligent content creation tools for augmented and virtual reality, with applications spanning education, disaster management, and medical visualization.

• Data Science
• Big Data
• Natural Language Query Processing
• +۴ مورد دیگر

Prof. Dr. Kurt Stockinger is a Professor of Computer Science at ZHAW School of Engineering and holds a doctorate at the University of Zurich . He serves as Head of the MAS Data Science program and co-leads the ZHAW Datalab . His research focuses on Intelligent Information Systems , bridging information systems, natural language processing, and machine learning. Affiliated with the University of Zurich, he contributes to Quantum Machine Learning and Open Data Exploration initiatives. Stockinger's educational background includes a PhD in Computer Science (University of Vienna & CERN), a Master in Business Informatics (University of Vienna), and a CAS in Didactics & Methodology (ZHAW). He has taught courses in Quantum Computing , Big Data for Natural Sciences , and Data Science programs at ZHAW and University of Zurich. His research spans Data Science , Big Data , Natural Language Query Processing , Knowledge Graphs , and Quantum Machine Learning . Recent publications focus on quantum autoencoders , hybrid quantum neural networks , and prompt engineering for knowledge graph question answering. He has developed frameworks like ScienceBenchmark for real-world NL-to-SQL evaluation and NQuest for natural language query exploration. Scientific awards include the Best Paper Award at 7th Swiss Conference on Data Science (2020) He leads major projects such as DataGEMS (Data Discovery Platform, Horizon Europe) Digital Health Zurich (Clinical Innovation Lab) INODE4StatBot.swiss (NL-to-SQL Translation) GraphQueryML (Graph Database Optimization) ScienceBenchmark (NL-to-SQL Evaluation) Stockinger's work intersects with computer vision , biomedical data , and industrial applications , demonstrated through collaborations with institutions like Lawrence Berkeley National Laboratory, CERN, and University of Washington. He has contributed to establishing QuantumBasel and ZHAW Datalab as research hubs.

Håkan Grahnمشاهده پروفایل

استاد

• Computer Architecture
• Multicore Systems
• GPU Computing
• +۷ مورد دیگر

Håkan Grahn is a Professor of Computer Engineering at the Department of Computer Science, School of Computing, Blekinge Institute of Technology (BTH) in Sweden. He has been a faculty member since 1996, becoming a full professor in 2007. His academic leadership includes serving as Head of Department (1999-2002) and Dean of Research (2011-2013) at BTH. He leads multiple significant research projects including GPAI (General Purpose AI Computing) and Green Clouds, with funding from ELLIIT, the Knowledge Foundation, and Vinnova. His educational background includes: M.Sc. in Computer Science and Engineering (1990) from Lund University Ph.D. in Computer Engineering (1995) from Lund University Håkan's research spans several interconnected domains in computer science and engineering, with a strong emphasis on practical applications. His work in computer architecture focuses on optimizing system performance through innovative cache coherence protocols and memory management techniques. In the realm of parallel computing , he investigates multicore systems, GPU computing, and thread-level speculation to enhance computational efficiency. His research in AI and machine learning addresses energy efficiency, data stream mining, and practical applications in areas like district heating systems and airborne networks. The integration of image processing with machine learning forms another significant strand of his work, particularly in historical document analysis and medical imaging applications. These research areas converge in his leadership of major initiatives like BigData@BTH and GPAI, where he bridges theoretical advances with real-world implementation challenges. Analysis of Håkan's recent publications reveals a clear trajectory toward increasingly applied research with strong industry connections. While maintaining foundational work in computer architecture, his output increasingly focuses on practical AI applications, energy efficiency in computing, and domain-specific implementations in sectors like telecommunications, energy systems, and defense. The interdisciplinary nature of his work is evident in collaborations spanning computer science, engineering, and domain-specific applications, with a growing emphasis on sustainability and resource optimization in computing systems. Håkan has successfully supervised numerous doctoral students, with ten graduates and six current Ph.D. candidates. His research has been supported by substantial funding from: The Knowledge Foundation (BigData@BTH, HINTS, Green Clouds) ELLIIT (GPAI project) Vinnova (FANET-MCA, Directed COM & EW) Industry partners including Ericsson, Saab, Telenor, and Fortnox He is actively involved in multiple research groups including DISL (Distributed and Intelligent Systems Lab), CCS-Lab (Communication and Computer Systems Research Lab), and previously PAARTS (Parallel Architectures and Applications for Real-Time Systems). His leadership extends to organizing academic events like the Nordic workshop on Multi-Core Computing and the Swedish Artificial Intelligence Society workshop.

Robert S. Keyserمشاهده پروفایل

استاد

• Industrial Engineering
• Lean Manufacturing
• Work Measurement
• +۵ مورد دیگر

Dr. Robert S. Keyser is a Professor in the Department of Industrial Engineering Technology at Kennesaw State University's College of Engineering and Engineering Technology. With expertise spanning industrial engineering, lean manufacturing, and human factors, Dr. Keyser applies engineering principles to diverse fields including healthcare systems, manufacturing, and higher education. His interdisciplinary approach bridges traditional engineering with practical applications in real-world settings. Dr. Keyser's educational background includes: PhD in Industrial Engineering (Manufacturing Systems concentration) from the University of Tennessee (2008) MS in Statistics from the University of Tennessee (2005) MBA in Management from East Tennessee State University (1992) BS in Statistics from the University of Tennessee (1988) His research interests focus on applying industrial engineering tools such as Lean manufacturing, work measurement, human factors, and reliability analysis across multiple sectors. Dr. Keyser has developed particular expertise in healthcare systems engineering, where he applies process improvement methodologies to address challenges in blood donation, fluoride varnish application, and pandemic response in educational settings. His work often involves interdisciplinary collaboration with colleagues from health sciences, statistics, and computer science. Dr. Keyser's recent publications demonstrate a strong focus on healthcare applications, blood donation systems, and pandemic response in higher education. His research shows a consistent pattern of applying industrial engineering principles to solve complex problems in diverse settings, with increasing emphasis on technology integration and data-driven decision making. The breadth of his work spans traditional manufacturing contexts to innovative applications in healthcare and education. Dr. Keyser has received significant research funding including: NIH R15 grant ($426,490) for removing barriers to fluoride varnish application in primary care Virtual Reality Blood Donor Experience grant ($5,000) ALG Textbook Transformation grant ($16,200) for creating no-cost work measurement textbooks Georgia Affordable Learning Grant ($11,800) for developing no-cost learning materials As an educator, Dr. Keyser teaches a wide range of courses including Work Measurement and Ergonomics, Operations Research, Systems Simulation, and Human Factors Engineering. He has developed several OER (Open Educational Resource) textbooks to reduce costs for students. His teaching philosophy emphasizes practical application of engineering principles to real-world problems, often incorporating case studies from his research projects. Dr. Keyser is an active member of the Institute of Industrial and Systems Engineers (IISE) and collaborates extensively with colleagues both within Kennesaw State University and at other institutions, particularly on healthcare-related engineering projects.

• e-learning/m-learning
• virtual communities and social media
• semantic technologies
• +۴ مورد دیگر

Andrea Molinari is a Contract Professor at the University of Trento since 1990 and at the Free University of Bozen since 2002. He also serves as a Visiting Professor at Lappeenranta University of Technology (2021-2025) and holds a Docent position in Decision Making at the same institution (2024-2029). Previously, he was an Adjunct Professor at Turku University/Abo Akademi in Finland (2007-2019). Education: 2022: Doctoral Degree - Doctor of Science (Technology), Engineering Science, Software Engineering research field from LUT - Lappeenranta University of Technology. Dissertation: "Integration Between eLearning platforms and Information Systems: a New Generation of Tools for Virtual Communities" 1988: Master Degree in Economics from Università degli Studi di Trento with grade 110/110. Thesis: "P.I.R.S. Personal Information Retrieval Systems" Professor Molinari's research focuses on the intersection of education technology and information systems. His primary areas include e-learning/m-learning systems, virtual communities and social media, semantic technologies and ontologies, data management with AI applications, and Enterprise Project Management. His work bridges theoretical computer science with practical applications in educational and organizational contexts, particularly examining how technology can enhance learning experiences and organizational efficiency. His recent publications reveal a strong emphasis on the evolution of Learning Management Systems in the AI era, integration of semantic technologies with educational platforms, and applications of serious games for professional training. There's a clear trajectory toward more sophisticated, AI-enhanced educational technologies that incorporate data analytics, personalized learning, and advanced user modeling. Scientific Awards: Winner of the "S. Ciancio" scholarship (1980, 1982, 1983) Outstanding Paper Award at the Ed-Media World Conference on Educational Technology (1995) Since 1994, Professor Molinari has supervised approximately 10 thesis projects annually across multiple institutions including the University of Trento (Economics, Engineering), University of Bolzano (Computer Science, Education), and Abo Akademy in Finland. His teaching spans numerous courses related to information systems, project management, and technology applications across various academic disciplines. He has coordinated numerous research projects, particularly in the areas of e-learning platforms, virtual communities, and semantic technologies for educational applications. Professor Molinari is actively involved with several research communities and has served on program committees for numerous international conferences including IEEE-STAR, SMARTGREENS, and the International Conference on Web-based Education. His work often involves interdisciplinary collaboration between computer scientists, educators, and domain specialists to develop innovative technology-enhanced learning solutions.