جست‌وجوی استاد و پژوهشگر

• STEM Education Research
• Psychometrics
• Quantitative Research Methodology
• +۷ مورد دیگر

Dr. Cijy Elizabeth Sunny serves as an Assistant Professor in the Department of Mathematics within Florida Gulf Coast University's College of Arts & Sciences. Her academic profile demonstrates interdisciplinary expertise spanning STEM education research, psychometrics, and quantitative methodology across multiple continents. Research Focus: Dr. Sunny specializes in developing and validating assessment tools for affective domain skills using classical test theory, item response theory, and Rasch measurement. Her work bridges STEM education research, medical education, engineering education, and human trafficking studies. She actively conducts workshops on concept mapping methodology, mixed methods research for standardized patient educators, and standard-setting for physician educators. Publication Trends: Her recent scholarly output reveals a strong emphasis on equity in STEM education (particularly for Latino/Hispanic students), hidden curriculum dynamics in engineering education, innovative assessment tools, and psychometric validation studies. Her work consistently applies rigorous quantitative and mixed methods approaches to address complex educational challenges across healthcare, engineering, and social science contexts. Academic Service: Dr. Sunny has developed specialized workshops including: Concept mapping methodology for scale development Mixed methods research for standardized patient educators Standard-setting protocols for physician educators Teaching Portfolio: She teaches across physics, statistics, mathematics, programming, research methodology, and data science disciplines, leveraging her background as an engineering physicist and psychometrician to create interdisciplinary learning experiences.

• Human-Computer Interaction
• Wearable Technology
• Mobile Computing
• +۶ مورد دیگر

Dr. Christian Winkler is a researcher in Human-Computer Interaction (HCI) at the University of Ulm's Department of Human-Computer Interaction. He focuses on wearable technologies, mobile VR systems, and innovative projection-based interfaces. His work emphasizes secure mobile interactions, context-aware pervasive systems, and nomadic computing solutions. Education: B.Sc. Media Informatics & Design (2007), Bielefeld University M.Sc. Applied Computer Science - Systems Engineering (2010), University of Duisburg-Essen PhD in Computer Science (2016), University of Ulm Research Interests: Wearable interfaces, mobile interaction design, secure authentication systems, and augmented reality applications. Projects include PocketThumb (wearable eyewear control), FaceTouch (VR HMD touch interaction), and Glass Unlock (privacy-preserving smartphone unlocking). Key Publications: Recent works focus on spatial interaction in moving vehicles (CHI 2025), cursorless pointing techniques (2018), and wearable dual-sided touch interfaces (IMWUT 2017). His 2014 AMP-D project received an Honorable Mention at CHI. Awards: Best Note Award at ITS 2013 (Penbook project) CHI 2014 Honorable Mention for Ambient Mobile Pervasive Display Teaching & Advising: Supervised over 15 student theses on topics like projector phones, hospital workflows, and augmented reality. Taught courses in Pervasive Computing and Mobile HCI at University of Ulm. Labs & Teams: Core contributor to the HCI Group, exploring future interaction paradigms through projects like Hover Pad (self-actuated displays) and UbiBeam (home projector systems). Active in program committees for CHI and Mobile HCI conferences.

Valeria Cardelliniمشاهده پروفایل

دانشیار

• Distributed Computing Systems
• Cloud Computing
• Edge Computing
• +۳ مورد دیگر

Valeria Cardellini is an Associate Professor in Computer Engineering at the University of Rome Tor Vergata, with a PhD in Computer Science and Automation Engineering (2001). Her research focuses on distributed computing systems, particularly cloud-based and edge-based systems, with emphasis on resource provisioning, self-adaptation, and QoS-driven optimization. She has published over 90 peer-reviewed papers, including award-winning works at IEEE SOSE and ACM DEBS conferences, and has led collaborations in EU projects like EoCoE (2015-2018) and the Cloud for Europe tender (2016-2017). She has organized major events such as UCC 2018 and contributed to workshops like Auto-DaSP. Teaching includes distributed systems, cloud computing, and computer architectures at both undergraduate and graduate levels. Education: PhD in Computer Science and Automation Engineering (2001), University of Rome Tor Vergata Previous academic qualifications not explicitly listed Research Interests: Her work spans geo-distributed systems, serverless computing, edge-cloud continuum optimizations, and reinforcement learning for adaptive systems. Key areas include energy-efficient scheduling, fault-tolerant architectures, and QoS-aware service composition. Recent projects address scalability challenges in data stream processing and cybersecurity for distributed environments. Awards & Recognition: Best Paper Awards at IEEE SOSE 2011, ACM DEBS 2015, and ACM DEBS 2016 Keynote Speaker at IEEE MASCOTS 2016 Grants & Projects: Led EU H2020 projects (EoCoE), contributed to the European Cloud tender, and managed COST Action IC1304 (ACROSS). Current research involves cloud-edge continuum frameworks like Serverledge and FIGARO. Labs & Teams: Active in developing experimental platforms such as MOSES (for self-adaptation testing) and OpenCoarrays (coarray Fortran frameworks). Collaborates with interdisciplinary teams on HPC, distributed systems, and cybersecurity.

Bernd Schneiderمشاهده پروفایل

پژوهشگر

• Electronic Business
• Web Evaluation
• Mobile Applications
• +۴ مورد دیگر

Bernd Schneider holds a PhD in Computer Science from the University of Münster and is currently a Researcher at the Department of Business Information Systems and Intelligent Systems (580A) at the University of Hohenheim. He previously served as a researcher and lecturer at the Chair of Information Systems at Münster University (1993–2004). His research focuses on Electronic Business, particularly web evaluation, mobile applications, e-learning, and AI applications. He co-authored over 20 publications since 1997, including works on mobile learning frameworks (HohLearn), Quantified Self approaches in education, and Bitcoin analysis. As teaching coordinator, he oversees thesis supervision and advises on academic committees such as the Senate Commission for Studies and Teaching. His roles include membership in the Faculty Council of Economics and Social Sciences, admissions committees for Master's programs, and various university-wide administrative bodies.

• Computer Simulation
• Electrical Power Engineering
• Information Technology
• +۷ مورد دیگر

Wilfried Elmenreich is a Professor at the Institute for Networked and Embedded Systems at Alpen-Adria-Universität Klagenfurt. He holds roles as Member of the Senate and Member of the Works Council for Academic University Staff. His research focuses on computational systems, energy engineering, and smart technologies, including swarm intelligence, cyber-physical systems, and sustainable energy solutions. Key interests include non-intrusive load monitoring (NILM), renewable energy integration, and decentralized learning paradigms. Research priorities encompass computer simulation, electrical power engineering, complex systems, and self-organization. Notable work includes frameworks like SwarmFabSim for production scheduling and CPSwarm for swarm robotics design. He also explores sustainability education and pandemic-related behavioral shifts in sustainability attitudes. Recent publications highlight advancements in federated learning for smart grids, energy disaggregation using NILM, and applications of biologically-inspired algorithms in critical infrastructure. His work integrates simulation reproducibility, open-source tools like Gradle/Docker, and educational games for renewable energy awareness (e.g., DAYSAM). Labs/Teams: Core member of the Institute for Networked and Embedded Systems, leading projects in CPS design, energy systems, and swarm robotics. Collaborates on EU initiatives like CPSwarm and educational outreach in sustainable development.

• Agro Food Robotics
• Precision Farming
• Optimal Control
• +۳ مورد دیگر

Eldert van Henten is a full professor of Biosystems Engineering at Wageningen University & Research. His research focuses on agro food robotics, precision farming, and optimal control systems in agriculture. He earned his MSc (1987) and PhD (1994) in Agricultural and Environmental Sciences from Wageningen University. He previously led the Farm Technology Group until 2021 and currently leads projects like FlexCRAFT (Cognitive Robots for Flexible Agro Food Technology) and Trimbot2020, developing robotics and automation for agricultural applications. His work emphasizes translating technology to practical environments (TRL 5-6), with contributions to robotic harvesting, precision weed control, and greenhouse climate modeling. Education: MSc (cum laude, 1987), PhD (1994) in Agricultural Sciences at Wageningen University. Key Projects: FlexCRAFT: Generic robotics principles for food processing, packing, and greenhouse operations. Trimbot2020: Outdoor garden trimming robot with 3D path planning. PoultryBot: Autonomous egg collection in poultry farming. Editorial Roles: Member of editorial boards for Biosystems Engineering, Computers and Electronics in Agriculture, and others. Research Themes: Agro food robotics (harvesting, vision systems, machine learning). Optimal control of agricultural processes (greenhouse climate, irrigation). Generic robotics frameworks for agri-food applications. Awards: Not explicitly listed, but recognized via research impact (h-index 31–47 across platforms). His teaching includes courses on greenhouse technology, field robotics, and thesis supervision. He collaborates with industry through user groups and consortia to ensure practical technology transfer.

Eiman Elbanhawyمشاهده پروفایل

مدرس ارشد

• Smart Cities
• E-Mobility
• Urban Sustainability
• +۳ مورد دیگر

Dr. Eiman Elbanhawy is a Senior Lecturer in Architecture and Technology at the University of Portsmouth, affiliated with the School of Architecture, Art and Design within the Faculty of Creative and Cultural Industries. Her interdisciplinary research focuses on smart cities, e-mobility, urban sustainability, and HCI. She bridges academia and practice, having held postdoctoral roles at MK:Smart (The Open University) and a visiting scholar position at Penn State University's Sustainability Institute. Eiman supervises PhD students in areas like slum upgrading and UX in gaming. She actively promotes cross-disciplinary research and is a PhD supervisor committed to fostering postgraduate researchers. Her research interests include resilient urban design, smart technologies, and the integration of IoT and space syntax in urban spaces. She explores how technology can enhance livability and inclusivity in cities. Eiman’s recent work on compact cities and post-war urban resilience will be featured at the 2025 Livable Cities Conference in Lisbon. She has published extensively on e-mobility systems, smart home technologies, and spatial analysis, emphasizing practical applications in urban contexts. Her work on EV charging infrastructure, user behavior analysis, and ambient awareness interfaces highlights her focus on bridging technological innovation with real-world urban challenges. Eiman has collaborated on projects like the Newcastle-Gateshead EV mobility study and MK:Smart initiatives, demonstrating her commitment to impactful, community-engaged research.

Matt Dennisمشاهده پروفایل

مدرس ارشد

• Adaptive Systems
• Persuasive Technology
• Health Informatics
• +۳ مورد دیگر

Dr. Matt Dennis is a Senior Lecturer and Associate Head (Student Experience) in the School of Computing at the University of Portsmouth. He holds a BSc (Hons) in Internet Information Systems (University of Aberdeen, 2009) and a PhD in Computer Science (also from University of Aberdeen, 2014), focusing on adapting feedback to learner personality to increase motivation. His research spans adaptive systems, eHealth, and cultural adaptation in educational technology. Education: BSc (Hons) Internet Information Systems, University of Aberdeen (2009) PhD in Computer Science, University of Aberdeen (2014) Research Interests: Adaptive/Persuasive/Motivational systems Cultural differences in feedback expectations Personalized healthcare interventions Teaching: Software Engineering, Usability Engineering, and Complex Problem Solving modules. His recent work includes developing adaptive exercise selection algorithms and tablet-based interventions to improve skin self-examination after melanoma treatment. He collaborates with PhD student Muhammad Sidi-Ali on cultural aspects of educational feedback. Research outputs emphasize personalized reminders, emotional support systems, and cross-cultural adaptation in technology. His articles highlight trends in adaptive systems for education and healthcare, with a focus on learner personality, cultural factors, and health behavior change. Current projects explore how cultural differences shape feedback expectations in education.

Rúben Gouveiaمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Health Technology
• Wellbeing
• +۳ مورد دیگر

Rúben Gouveia is an Assistant Professor at the University of Lisbon's Faculty of Sciences, specializing in Human-Computer Interaction (HCI) and the design of tools for health and wellbeing. He holds a PhD from the University of Madeira, supported by a National PhD studentship from the Portuguese Foundation for Science and Technology. Previously, he served as an Assistant Professor at the University of Twente in the Netherlands. His research focuses on self-tracking technologies, wearable devices, and personal informatics, with a particular interest in how these tools mediate human behavior and cultural contexts. He has conducted studies on diverse topics including sports tracking, social robots, and navigation systems, emphasizing user-centered design principles. Recent work highlights include investigations into watchface customization preferences (CHI 2023), goal-setting mechanisms in health apps (DIS 2023), and activity tracking during life transitions (NordiCHI 2022). His research has been recognized with an Honorable Mention (Top 5%) at DIS 2023. He advises PhD students including Tina Ekhtiar, Lara Siering, and Naomi Stralen. His scholarship spans over 20 peer-reviewed articles in top-tier venues like CHI, Ubicomp, and Sensors, focusing on HCI applications in healthcare, education, and everyday life.

• 3D Computer Vision
• Shape Modeling
• Virtual Humans
• +۴ مورد دیگر

Victoria Fernandez Abrevaya is a post-doctoral researcher at the Max Planck Institute for Intelligent Systems (Perceiving Systems department) in Germany. She holds a PhD from Inria Grenoble (France) under Professors Edmond Boyer and Stefanie Wuhrer, and a MSc in Computer Science from the University of Buenos Aires, Argentina. Her work focuses on 3D reconstruction and understanding of humans from 2D data, with emphasis on facial animation, neural rendering, and generative models. Research interests: 3D computer vision and shape modeling Neural rendering techniques Diffusion models for motion and appearance synthesis Biometric fairness in face analysis Real-time face capture systems Geometry-constrained multi-human rendering Recent work explores occluded face expression reconstruction (OFEr 2025), interactive dynamics modeling (InterDyn 2025), and latent realignment for motion diffusion (Lead 2025). Her SPARK system (2025) enables real-time monocular face capture through self-supervised learning. Prior contributions include FLAME (2023), a popular 3D face model framework, and work on multilinear autoencoders for dynamic facial analysis (2018). She co-developed ImAvatar (2022), an implicit morphable head avatar system from videos.

Andrea Scheidigمشاهده پروفایل

پژوهشگر

• Neuroinformatics
• Robotics
• Human-Robot Interaction
• +۵ مورد دیگر

Dr.-Ing. Andrea Scheidig is a researcher at the Technical University Ilmenau , affiliated with the Neuroinformatics and Cognitive Robotics Lab within the Department of Computer Science and Automation. She has led multiple projects in socially assistive robotics, focusing on rehabilitation for stroke patients and elderly individuals. PhD in Neuroinformatics (2003) Research Assistant (1996-2002) Postdoc (2003-2018) Staff Member (2018-present) Her research explores robotic health assistants for movement therapy, emphasizing sensorimotor anticipation , self-organization , and user-adaptive interaction . Her work bridges rehabilitation engineering and social robotics , with applications in clinical and domestic settings. Recent publications highlight advancements in mobile gait training , human-robot cooperation , and context-aware navigation . These studies span clinical robotics , elderly assistance , and autonomous systems . Scientific Awards Best Paper Award on Human-Robot Interaction (HRI) - Finalist (2016) Scheidig contributes to BMBF-funded projects like FRAME, ROGER, and ROREAS, addressing challenges in robot-assisted rehabilitation and real-world deployment . Her lab focuses on technical benchmarking and user-centered design for socially assistive robots.

Myra Cohenمشاهده پروفایل

استاد

• Software Engineering
• Search-Based Software Engineering
• Highly-Configurable Software Testing
• +۵ مورد دیگر

Myra B. Cohen is a Professor and the Lanh and Oanh Nguyen Chair in Software Engineering at Iowa State University's Department of Computer Science, part of the College of Engineering. She previously held the Susan J. Rosowski Professorship at the University of Nebraska-Lincoln. Her research focuses on software testing of highly-configurable systems, search-based software engineering, and applications in synthetic biology and bioinformatics. Cohen holds a Ph.D. from the University of Auckland, M.S. from the University of Vermont, and B.S. in Agriculture from Cornell University. Education: Ph.D., Computer Science, University of Auckland, 2004 M.S., Computer Science, University of Vermont, 1999 B.S., School of Agriculture and Life Sciences, Cornell University Research Interests: Testing of cyber-physical systems and scientific software Combinatorial design applications in software assurance Synergies between software engineering and synthetic biology Configuration-aware testing for safety-critical systems Recent Projects: OPERA: Rural broadband solutions through open-source ecosystems Dependable AI-driven computational biology tools for KBase Blockchain fault tolerance modeling and measurement Self-adaptive mechanisms for unmanned aerial systems Awards: NSF CAREER Award AFOSR Young Investigator Award ACM Distinguished Scientist ASE Conference Fellow Leadership Roles: Program Co-Chair: ESEC/FSE 2020, ISSTA 2025 General Chair: ASE 2015 Steering Committee: ASE, ESEC/FSE, ISSTA Labs & Affiliations: Director: LaVA-OPs (Variability-Aware Assurance Lab) Center for Wireless, Communities and Innovation (WiCI) Bioinformatics & Computational Biology Graduate Program

• Computer Vision
• Machine Learning
• Autonomous Driving
• +۳ مورد دیگر

Adrien Gaidon is an Adjunct Professor with a focus on Human-Centered Action Recognition and advanced visual representation learning. His current projects include collaborations with MIT on Physical and Functional Inductive Biases for visual systems, while completed works span Robust Machine Learning and Interaction-Aware Control for autonomous vehicles. Research Trends : His 2025 publications emphasize 3D Scene Understanding , Depth Estimation , and Neural Radiance Fields , alongside innovations in Uncertainty-Aware Perception and Self-Supervised Learning . Key subfields include Autonomous Driving , Robotics , and Geometric Learning for dynamic environments. Advising and Grants : No explicit details about students, teams, or grants were found in the provided text.

• Internet of Things (IoT) Security
• Machine Learning
• Decision Trees
• +۳ مورد دیگر

Fawaz Alsolami is a researcher affiliated with King Abdulaziz University . His work spans interdisciplinary domains in Computer Science , focusing on Internet of Things (IoT) Security , Machine Learning , and Blockchain Applications . Published extensively in journals like IEEE Internet Things Journal and Future Internet . Collaborates with scholars such as Mohamed Mahmoud and Igor Chikalov . His research integrates Decision Trees , Reinforcement Learning , and Cybersecurity to address challenges in smart grids, autonomous vehicles, and healthcare systems. Recent publications highlight trends in IoT Security Intelligence , Privacy-Preserving Data Collection , and Adversarial Examples in Medical Devices . Coauthored 15+ papers since 2020, with a focus on scalable solutions for emerging technologies like 5G and blockchain.

Rouskas Angelosمشاهده پروفایل

استاد

• Wireless Communication Networks
• Edge Computing
• 6G Networks
• +۴ مورد دیگر

Rouskas Angelos is a Professor at the Department of Digital Systems, University of Piraeus. He holds a Diploma in Electrical Engineering from the National Technical University of Athens (NTUA), a Master's in Communications and Signal Processing from Imperial College London, and a PhD in Electrical and Computer Engineering from NTUA. Previously, he served as Lecturer, Associate Professor, and Head of the Computer Systems and Communications Laboratory at the University of the Aegean (2000–2009). His research focuses on next-generation wireless networks, edge computing, and energy-efficient network design. He has led multiple national and EU-funded projects and worked as a network designer at CosmOTE (1999–2000). He chaired the Technical Committee for European Wireless 2006 and served on numerous international conference committees. Education: BEng: Electrical Engineering, NTUA MSc: Communications & Signal Processing, Imperial College London PhD: Electrical & Computer Engineering, NTUA Research Interests: His work centers on optimizing wireless networks, particularly in edge computing environments and 6G/IoT connectivity. Key areas include energy efficiency, heterogeneous network architectures, and latency reduction through adaptive resource allocation. Recent trends in his publications emphasize non-terrestrial networks and federated edge-cloud IoT systems. Grants & Leadership: He has coordinated国家级 and European projects focusing on green networks and edge computing. His technical leadership extended to roles in industry partnerships and academic administration. Labs & Collaboration: Past leadership at the Computer Systems & Communications Lab (University of the Aegean) and current involvement in edge-cloud research initiatives.