جستجوی استاد راهنمای دانشگاهی

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نمایش ۷۰۶-۷۲۰ از ۱٬۵۸۳ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Isabel Maria Pinto Ramosمشاهده پروفایل

دانشیار

University of MinhoPortugal

Isabel Maria Pinto Ramos is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, University of Minho , where she leads the ISTTOS R&D Lab and contributes to the Algoritmi Research Centre . She has held leadership roles including Head of Department of Information Systems and President of the Portuguese Association for Information Systems . Her career spans academic, research, and international collaboration roles, including a Visiting International Professor position at the University of Münster, Germany. Academic Leadership : Doctoral Programme Director (2014-2019), IFIP TC8 Chair (2019-2023), Vice President for Membership Services at Association for Information Systems (2022-2025) Research Themes : Innovation management, knowledge systems, digital transformation, crowdsourcing, organizational memory, gender in STEM, and technology's socio-cultural impacts International Engagement : Collaborations with Carnegie-Mellon, University of Agder, Georgia State, and Federal University of Santa Catarina through research projects and mobilities Scientific Recognition : IFIP Outstanding Service Award (2009) IFIP Silver Core Award (2013) IIAKM Lifetime Academic Achievement (2021) Editorial Contributions : Associate Editor for Communications of the AIS (since 2020), editorial board member for Enterprise Information Systems , International Journal of Knowledge Engineering , and Revista de Administração Mackenzie Project Involvement : ERASMUS+, Horizon 2020, FP7 programs with focus on digital workplaces, knowledge management, and organizational resilience Her scientific output demonstrates consistent exploration at the intersection of Information Systems and Organizational Innovation , with recent works focusing on Digital Transformation (2021-2025), Crowdsourcing Platforms (2009-2016), and Organizational Memory (2005-2014). The 2023-2025 publications particularly emphasize Smart City Resilience , Multigenerational Workforce Challenges , and AI Development Democratization .

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Jason Hongمشاهده پروفایل

دانشیار

University of BariItaly

Jason Hong is an Associate Professor at the Human Computer Interaction Institute (HCII) , part of the School of Computer Science at Carnegie Mellon University . His research focuses on ubiquitous computing and usable privacy and security , with work highlighted in major media outlets like the New York Times and MIT Tech Review . He also co-founded Wombat Security Technologies , addressing human-centric computer security challenges. Education : PhD from University of California, Berkeley; undergraduate degrees from Georgia Institute of Technology. Research Interests span creating seamless computing environments through ubiquitous systems, improving user experiences in privacy and security design, and exploring practical applications of human-computer interaction. His work bridges technical innovation with behavioral insights to enhance digital safety. Scientific Awards : Alfred P. Sloan Research Fellow, Kavli Fellow, PopTech Science Fellow, HCII Career Development Fellowship. Professional Roles : Associate Editor for IEEE Pervasive Computing and ACM Transactions on Human-Computer Interaction ; editorial board member for Communications of the ACM and Foundations and Trends in HCI . His DARPA involvement influenced national computer science policy discussions.

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Reham Mohamed Aburasمشاهده پروفایل

استادیار

Purdue UniversityUnited States

Reham Mohamed Aburas is an Assistant Professor in the Department of Computer Science and Engineering at the American University of Sharjah (AUS) in Sharjah, UAE. Her academic career spans research and teaching in mobile computing security, with a focus on advancing secure and privacy-preserving technologies for modern devices across multiple platforms including smartphones and emerging virtual reality systems. Dr. Aburas earned her Ph.D. in Computer Science from Purdue University, where she worked with Professor Z. Berkay Celik at the PurSec Lab. Prior to that, she completed both her B.Sc. and M.Sc. degrees in Computer and Systems Engineering from Alexandria University in Egypt, establishing her technical foundation in systems engineering. Her primary research centers on the advancement of security, privacy, and usability of mobile computing technologies. In today's world, where modern devices are ubiquitous and technology is deeply integrated into various aspects of daily life, Dr. Aburas focuses on developing advanced systems that enrich user experiences while preserving security and privacy. Her work spans multiple domains including: Mobile security and privacy vulnerabilities Virtual and augmented reality security Biometric authentication systems User-centered security design Location privacy in mixed reality environments Arabic natural language processing Dr. Aburas's publication record demonstrates a strong trajectory from foundational work in mobile computing and indoor localization to cutting-edge research in virtual reality and mixed reality security. Her recent work (2023-2025) has focused on emerging threats in WebXR and VR environments, including UI attacks, speech extraction from sensors, and semantic location inference. She has published in top security venues including USENIX Security Symposium and NDSS, indicating the high impact and relevance of her research in the security community. Her earlier work (2014-2020) established expertise in mobile security, biometric authentication, and Arabic language processing through the Al-Bayan project. As an educator, Dr. Aburas has served as a course instructor at AUS, teaching subjects including COE 59412: Usable Security and Privacy and CMP 340: Design and Analysis of Algorithms. She has also served as a Teaching Assistant at Purdue University for courses including Great Issues in Computer Science, Data Mining, and Data Engineering in Python. At Alexandria University, she taught Probability Theory, Statistics, Data Mining, and Data Structures, demonstrating expertise across both theoretical computer science and practical security applications. Her research appears to be conducted in collaboration with the PurSec Lab at Purdue University, where she completed her Ph.D. Her work shows strong interdisciplinary connections between computer science, human-computer interaction, and security engineering, with particular attention to the practical usability aspects of security systems.

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Benoit Pirandaمشاهده پروفایل

دانشیار

National School of Civil AviationFrance

Benoit Piranda is an Associate Professor of Computer Science at the University of Franche-Comté , affiliated with the FEMTO-ST Institute and its Complex Networks Team (DISC/OMNI) . He leads the development of VisibleSim , a parallel behavioral simulator for modular robots. University: University of Franche-Comté Institute: FEMTO-ST Team: DISC/OMNI Role: Researcher & Software Developer Research Focus: Distributed algorithms for modular robots, programmable matter, physical simulations, and parallel execution environments. His work spans self-reconfiguration, communication protocols, and efficient scene encoding for large-scale robotic systems. Article Trends: Recent publications highlight advancements in 2D/3D lattice modular robot algorithms Porous structure reconfiguration Time synchronization protocols VisibleSim simulation framework Multi-scale distributed displays Security protocols for programmable matter Conference Involvement: Active in program committees for DARS, IEEE ATC, IROS, and AINA. Former Publicity Chair positions.

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Milica Topalovicمشاهده پروفایل

استادیار

ETH ZurichSwitzerland

Milica Topalovic serves as Assistant Professor of Architecture and Territorial Planning at ETH Zurich's Department of Architecture within the Institute for Landscape and Urban Studies (LUS) since August 2015. Previously, she held a research professorship at the ETH Future Cities Laboratory in Singapore from 2011-2015 where she investigated city-hinterland relationships. Her research focuses on territorial urbanization beyond traditional city boundaries, examining how urban processes extend into rural areas, hinterlands, and natural landscapes including alpine zones, jungles, deserts, and oceans. Topalovic challenges conventional urban-rural dichotomies through the concept of 'constitutive exteriors' of the city, arguing that even remote spaces are increasingly drawn into urbanization processes. Her work combines research and design through design research studios, travel expeditions, and site explorations. Current projects include examining agroecological practices in the Zurich region, biocultural cartographies of indigenous territories, and planetary urbanization patterns. She teaches design studios and seminars focusing on territorial scales, with recent courses including 'Architecture of Territory: MY CLOUD' (2025), 'Urban Agroecology on Uetliberg's Foothills' (2025), and 'Sessions on Territory – Agency: Architecture in the Civil Service' (2025). Topalovic's publications explore extended urbanization, including the influential book Extended Urbanisation. Tracing Planetary Struggles (2023), which is now available in open access. Her research demonstrates how architecture and urban planning must adapt to increasingly ubiquitous urban conditions by developing concepts, methods, and approaches that extend beyond urban centers to broader territorial frameworks. She has led significant research initiatives including: The Hinterland research project examining Singapore's territorial relationships European Countryside research pathway initiated after relocating to Zurich in 2015 Agroecological Repair project for Zurich's territory Biocultural Cartographies research Topalovic actively participates in academic discourse through conferences, exhibitions, and public debates, notably contributing to the ECLAS Conference 2025 on Agricultural Landscapes and the NSL Colloquium on Planetary Urbanisation.

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Mario Romeroمشاهده پروفایل

دانشیار

Chalmers University of TechnologySweden

Mario Romero is a Senior Associate Professor at Linköping University's Department of Media and Information Technology in Norrköping, where he leads the Immersive Visualization Unit. He concurrently serves as National Technical Manager for InfraVis, the Swedish Research Council's national research infrastructure for data analysis and visualization. His academic credentials include: PhD in Computer Science, Georgia Tech, 2009 Master's in Computer Science, University of Illinois at Urbana-Champaign, 2001 Dual Bachelor's degrees in Industrial Engineering and Construction Engineering, Universidad San Francisco de Quito, 1996 Romero's research focuses on Human-Computer Interaction, Immersive Visualization, and Ubiquitous Accessible Computing. Key projects involve visualizing Swedish elementary school literacy metrics, dynamic high-dimensional dataset visualization via parallel coordinates, and accessible 3D mesh generation for biological specimens like the Green Tortoise Beetle. This work spawned practical applications including BrailleTouch (a smartphone keyboard for blind users) and Anymaker (a 3D sketching tablet application). His accolades include recognition as a Fulbright Scholar from Ecuador. In leadership roles, Romero directs the Immersive Visualization Unit and oversees InfraVis's national technical operations, significantly advancing data visualization capabilities for Swedish researchers.

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Otar Akanyetiمشاهده پروفایل

مدرس ارشد

Aberystwyth UniversityUnited Kingdom

Dr. Otar Akanyeti is a Senior Lecturer in the Department of Computer Science at Aberystwyth University. His research integrates engineering, physics, computer science, and biology to advance underwater robotics and health informatics. He holds a BSc in Electronic Engineering, an MSc in Embedded Systems and Robotics, and a PhD in robot learning from the University of Essex. He co-founded the Aberystwyth Stroke Research Group and leads projects on AI-driven healthcare interventions. His research focuses on two primary strands: 1) Bio-inspired Robotics , developing sensors and control systems for underwater autonomy using biological principles; and 2) Health Informatics , employing wearable technology and AI to improve stroke rehabilitation and chronic disease management. Current investigations include hydrodynamic imaging, collective intelligence for data mining, and predictive tools for neurorecovery. Akanyeti's recent publications emphasize interdisciplinary approaches, with articles spanning gait analysis using smartphone sensors, clinical outcome prediction in stroke, and biomimetic robotics. His work consistently bridges biomechanics, machine learning, and clinical applications. He leads multiple funded projects including 'Miscanthus AI' (plant phenotyping for Net Zero), 'Intelligent Exercise Practitioner for Stroke Survivors', and 'iNavigate' (brain-inspired navigation technologies). His lab utilizes advanced equipment like instrumented treadmills and eye-tracking systems.

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Cem Ersoyمشاهده پروفایل

استاد

Boğaziçi UniversityTurkey

Cem Ersoy is a full Professor at the Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey. He serves as the Vice Director of TETAM and leads the Computer Networks Research Laboratory (NetLab), driving forward research in wireless networks, pervasive health, IoT, 5G, SDN, and emerging air computing paradigms. His research spans cutting-edge domains such as air computing, edge intelligence, wearable stress monitoring, indoor localization, and smart city neurocomputing challenges. By integrating deep reinforcement learning, probabilistic modeling, and IoT systems, his work aims to create unobtrusive, scalable, and adaptive computing solutions for real-life environments. Recent publications reveal a strong focus on air computing as a novel computation paradigm, leveraging multi-agent deep learning and simulation frameworks. Another major trend is wearable-based affect and stress monitoring , where semi-supervised learning and explainable AI reduce labeling burdens while enhancing real-life applicability. Additional work addresses edge computing orchestration , network slicing , and live video streaming optimization using SDN and reinforcement learning. Prof. Ersoy actively advises graduate researchers and leads funded projects in national and international arenas, although specific grant titles and student names are not listed in the source. His lab, NetLab, provides a collaborative environment for innovations in computer networks, IoT, and pervasive health technologies.

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Yang Zhangمشاهده پروفایل

استادیار

Carnegie Mellon UniversityQatar

Yang Zhang is an Assistant Professor in the Electrical and Computer Engineering (ECE) department at UCLA, leading the Human-Centered Computing and Intelligent Sensing Lab (HiLab). His research focuses on enhancing ambient computing through novel sensing technologies and energy-harvesting systems, advancing IoT, assistive technologies, and sustainable intelligence. He earned his PhD from Carnegie Mellon University (CMU), with prior work at Microsoft Research and Disney Research. Research Interests: His work spans wearable computing, ubiquitous sensing, and hardware prototyping. Key areas include self-powered sensors (e.g., Sozu), laser-based environment sensing (Vibrosight), and body-centric interfaces (SkinTrack, ActiTouch). He emphasizes practical, inclusive, and energy-efficient solutions. Awards & Recognition: CHI Best Paper (2020: Wireality) CHI Best Paper (2018: Wall++) Qualcomm Innovation Fellowship (2017) Multiple Honorable Mentions at CHI/UIST Teaching: Courses include Circuit Theory, Engineer Interactive Systems, and Electrical & Electronic Circuits. Labs & Teams: Directs the HiLab, collaborating on projects like OptoSense, MorphingCircuit, and Wireality. His lab emphasizes cross-disciplinary innovation at the intersection of hardware and human-computer interaction.

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Gilly Leshedمشاهده پروفایل

مدرس ارشد

Cornell UniversityUnited States

Gilly Leshed is a Senior Lecturer and Director of the MPS program in Cornell University’s Department of Information Science. She holds a PhD from Cornell (2009) and degrees from Technion – Israel Institute of Technology, specializing in Human-Computer Interaction (HCI) and Computer-Supported Cooperative Work (CSCW). Her work bridges academic and industry experience, including roles as an HCI expert in aviation and military systems. Research Focus: HCI, CSCW, social computing, and ethical technology design Teaching: Courses on HCI design, qualitative research methods, and online communities Her research explores technology’s role in social interactions, including mindfulness tech, inclusive videoconferencing, and combating xenophobia through social media analysis. Notable projects include the Xenophobia Meter for tracking anti-immigrant sentiment and the Re-envisioning Remote Meetings initiative with people who stutter. Awards include Best Paper recognitions at CHI and ACM conferences. Education: PhD in Information Science, Cornell University (2009) MS in Information Management Engineering, Technion (2003) BS in Industrial Engineering, Technion (2000) Lab Affiliations: Leads the Digital Tech & Innovation Project Team and collaborates on community-building artifacts like communIT. Serves as a faculty house fellow at William Keeton House.

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Nguyenمشاهده پروفایل

استادیار

University of Massachusetts AmherstUnited States

Professor Nguyen is an Assistant Professor at the University of Massachusetts Amherst's College of Information and Computer Sciences (CICS), leading the Wireless and Sensor Systems Laboratory (WSSL). His research focuses on Sustainable Autonomous Things (SATs), including medical devices, living sensors, and unmanned aerial vehicles (UAVs), emphasizing energy efficiency and unobtrusive data collection. He holds a PhD in Computer Science from the University of Colorado Boulder (2018), an MS in Electrical and Computer Engineering from Sungkyunkwan University (2014), and a BS in Electronics and Telecommunications from Vietnam National University (2010). Education: PhD, Computer Science, University of Colorado Boulder (2018) MS, Electrical and Computer Engineering, Sungkyunkwan University (2014) BS, Electronics and Telecommunications, Vietnam National University (2010) Research interests span mobile computing, wireless communication, embedded systems, and IoT applications. His team develops innovative hardware-software systems for healthcare monitoring (e.g., ear-worn seizure detectors), environmental sensing (battery-free tree health systems), and drone technology (solar-powered UAVs). Key contributions include privacy-preserving wearable devices and quantum state discrimination frameworks. Awards include the SONY Faculty Innovation Award, multiple ACM SIGMOBILE Research Highlights, and NSF funding. He actively reviews for flagship conferences like ACM MobiCom and serves on NSF panels. Grants and collaborations involve National Science Foundation projects on sustainable wearable sensing systems and medical IoT. His lab emphasizes interdisciplinary work, combining signal processing, machine learning, and hardware design. Labs/Teams: Wireless and Sensor Systems Laboratory (WSSL), collaborating on cross-scale human sensing systems and autonomous device innovation.

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Sara Kieslerمشاهده پروفایل

استاد

Carnegie Mellon UniversityQatar

Sara Kiesler is the Hillman Professor Emerita of Computer Science and Human-Computer Interaction at Carnegie Mellon University's Human-Computer Interaction Institute (HCII). She also serves as a Program Manager at the National Science Foundation (NSF). Her work bridges social science and technology, focusing on collaborative analysis, human-robot interaction, and the societal impacts of computing. Kiesler's research explores how people interact with technology, particularly in interdisciplinary scientific teams and online environments. Current Role: Program Manager, National Science Foundation Emeritus Position: Hillman Professor, HCII, CMU Her research spans projects such as studying scientific collaboration dynamics, user perspectives on new internet architectures (XIA), and privacy/anonymity in digital spaces. She collaborates with experts like Jonathon Cummings and Laura Dabbish. Kiesler’s work emphasizes understanding how technology shapes human behavior and organizational productivity. Her contributions include influential studies on collaborative tools, robotic interaction design, and the psychological underpinnings of anthropomorphism. She has advised numerous Ph.D. students and led interdisciplinary initiatives funded by NSF and other agencies.

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Aloha Ambeمشاهده پروفایل

پژوهشگر ارشد

University of QueenslandAustralia

Dr. Aloha Ambe is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science within the University of Queensland's Faculty of Engineering, Architecture and Information Technology. Her research bridges human-computer interaction, aging technology, and participatory design, with particular focus on creating inclusive digital experiences for older adults. Her educational background includes: PhD in Computer-Human Interaction from Queensland University of Technology Master's in Information Technology from Ateneo de Manila University Bachelor's in Information Technology from Mindanao State University Ambe's research explores three interconnected domains: Aging and accessibility : Challenging ageist assumptions in technology design while developing inclusive systems for elderly populations IoT and everyday interactions : Examining how augmented objects influence social connections and domestic routines Human-AI collaboration : Designing healthcare decision support systems that respect clinical workflows and information needs Her publication corpus demonstrates strong emphasis on participatory methodologies, with 80% of recent works involving co-design approaches with elderly participants. Thematically, her work evolves from foundational IoT studies toward healthcare applications and critical examinations of technology ethics. Ambe actively contributes to the HCI community through memberships in ACM SIGCHI and Brisbane SIGCHI, and is currently available for student supervision.

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Prajakta Belsareمشاهده پروفایل

استادیار

James Madison UniversityUnited States

Prajakta Belsare is an Assistant Professor in the Department of Information Technology at James Madison University's College of Integrated Science & Engineering (CISE). Her research focuses on wearable sensors, behavior modeling, machine learning, and signal processing with applications in health informatics and addiction science. She holds a Ph.D. in Electrical and Computer Engineering from the University of Alabama (2021), an M.E. and B.E. in Electronics and Telecommunications from the University of Pune, India (2013 and 2011). Her work integrates wearable sensor systems to monitor smoking behaviors, glycemic trends, and environmental exposures. Notable projects include the PACT CAM wearable sensor system and the DeepPuff deep learning model for smoking detection. Belsare has co-founded Abhidheya Labs and Knowledge Solutions (2015-2016) and previously served as an NSF-Computing Innovation Fellow at Dartmouth College (2021-2023). Her research trends emphasize real-world behavioral tracking through multi-sensor fusion, machine learning-driven health analytics, and translational healthcare technologies. Courses taught include Data Structures and Algorithms, Object-Oriented Programming, and Information Security. Key technical contributions span bioimpedance-based exposure quantification, EMG-driven activity recognition, and CNN-LSTM networks for puff detection. Her work bridges engineering innovation with clinical applications, addressing gaps in free-living health monitoring and smoking cessation support systems.

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Tianhao Heمشاهده پروفایل

پژوهشگر

Delft University of TechnologyNetherlands

Tianhao He is a Ph.D. candidate at the Faculty of Industrial Design Engineering, Delft University of Technology, where he serves as a Researcher in the Sustainable Design Engineering department. As an active member of the Design-at-Scale Lab, he focuses on Human-AI Collaboration in video-based design practices and contributes to the Knowledge and Intelligence Design (KInD) research group. His research spans Generative AI, Computer Vision, and Cognitive Science with particular emphasis on making AI algorithms accessible for professional design tasks. He teaches courses including Data, Machine Learning for Design, and AI Products and Services (2024), and Crowd Computing for Design (2023), demonstrating his expertise in translating complex AI concepts for educational contexts. His publications reveal a consistent focus on human-centered AI applications across diverse domains—from video-based design tools to brain-computer interfaces and industrial knowledge management systems—highlighting his interdisciplinary approach to enhancing human creativity through technology. As part of his academic role, he actively contributes to research projects focused on Design for Social Good and human-centered AI development, bridging theoretical research with practical design applications.

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