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Bernd SchneiderView profile

Researcher

• Electronic Business
• Web Evaluation
• Mobile Applications
• +4 more

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
• +7 more

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
• +3 more

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 ElbanhawyView profile

Senior Lecturer

• Smart Cities
• E-Mobility
• Urban Sustainability
• +3 more

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 DennisView profile

Senior Lecturer

• Adaptive Systems
• Persuasive Technology
• Health Informatics
• +3 more

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 GouveiaView profile

Assistant Professor

• Human-Computer Interaction
• Health Technology
• Wellbeing
• +3 more

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
• +4 more

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 ScheidigView profile

Researcher

• Neuroinformatics
• Robotics
• Human-Robot Interaction
• +5 more

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 CohenView profile

Professor

• Software Engineering
• Search-Based Software Engineering
• Highly-Configurable Software Testing
• +5 more

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
• +3 more

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
• +3 more

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 AngelosView profile

Professor

• Wireless Communication Networks
• Edge Computing
• 6G Networks
• +4 more

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.

• Multilingualism
• Intercomprehension
• Intercultural Learning
• +4 more

Prof. Silvia Maria Melo Pfeifer holds the Universitätsprofessor (W3) für Didaktik der romanischen Sprachen at the Faculty of Education, University of Hamburg , Germany. She also serves as a Research Fellow at CIDTFF, University of Aveiro, Portugal. Her work centers on multilingual education, heritage language pedagogy, intercomprehension, and linguistic landscapes , with extensive experience in international research collaborations. Key Projects : PEP (2023-2026), AGILE (2022-2025), BOLD (2022-2025), IDéAL (2022-2025), and CoMMiTTEd (2021-2023). Research Themes : Focus on plurilingual literacy, multilingual teacher training, digital language interaction, and critical approaches to heritage language education , analyzing how students negotiate identities in multilingual contexts. Her publications include edited volumes on multilingual teacher education (Springer, 2023) and peer-reviewed chapters on intercomprehension. She advocates for pedagogies that integrate students' entire linguistic repertoires , challenging monolingual norms in educational systems.

• Agricultural Engineering
• Robotics
• Computer Vision
• +3 more

Xin Wang is an External employee in the department of Agricultural Biosystems Engineering at Wageningen University & Research. Their research focuses on advancing robotics, computer vision, and machine learning applications in precision agriculture. Key areas include plant node tracking, 3D plant reconstruction, and agricultural automation systems. Recent work emphasizes multi-view active vision, self-supervised learning algorithms, and semantic-guided robotics for crop analysis. Research projects include the FlexCRAFT PostDoc initiative, where Wang serves as Principal Investigator. Their contributions span datasets such as 3D tomato peduncle pose estimation and genome sequencing projects. Collaborations involve interdisciplinary teams focusing on agricultural robotics and plant biology, with a strong emphasis on practical applications in greenhouse and orchard environments. Publications highlight advancements in object tracking, next-best-view planning, and machine learning-driven solutions for agricultural challenges like combine harvester optimization and crop ripeness detection. Their work bridges theoretical computer vision techniques with real-world agricultural engineering problems.

Paweł W. WoźniakView profile

Professor

• Human-Computer Interaction
• Sport Technology
• Well-being
• +4 more

Paweł W. Woźniak is a Professor and Head of Research Unit at TU Wien, with prior roles including Associate Professor at Chalmers University of Technology, Assistant Professor at Utrecht University, and Postdoctoral Fellow at the University of Stuttgart. Current: Professor & Head of Research Unit, TU Wien Former: Associate Professor, Chalmers University of Technology Former: Assistant Professor, Utrecht University Former: Postdoctoral Fellow, University of Stuttgart Education PhD in Human-Computer Interaction, Chalmers University of Technology (2016) Research Interests focus on the intersection of technologies, sport, and wellbeing. He investigates everyday experiences of physical activity to design technologies that enhance wellbeing, with expertise in personal informatics, multi-surface interactions, sensory augmentation, and the ethical implications of interactive systems. His work includes building devices for sports, exploring VR for emotional regulation, and understanding user apprehensions about AI and mixed reality. Scientific Awards include paper recognitions at CHI, MobileHCI, and EICS, alongside leadership roles in academic conferences. Leadership involves heading a research unit at TU Wien and organizing workshops in HCI.