جست‌وجوی استاد و پژوهشگر

Joshua Sunshineمشاهده پروفایل

استادیار

• Software Engineering
• Programming Languages
• Human-Computer Interaction (HCI)
• +۵ مورد دیگر

Joshua Sunshine is an Assistant Professor in the S3D Software and Societal Systems Department at Carnegie Mellon University's School of Computer Science. His research focuses on the intersection of programming languages, software engineering, and human-computer interaction (HCI), emphasizing usability-driven language design and tools for developers. He leads the REU Site in Software Engineering (REUSE), a National Science Foundation-funded program fostering undergraduate research and equity in computing. Key research areas include: (1) Formal methods for software testing and verification (e.g., TerzoN, Gradual C0), (2) Domain-specific languages for mathematical visualization (Penrose), (3) Secure blockchain programming (Obsidian), and (4) Automated test generation tools (Nanofuzz). His work bridges theory and practice through user-centered methodologies, evident in projects like PLATEAU workshops and Glacier's transitive immutability. Awards include the NSF CAREER Award (2024) and sustained leadership in REU programs. His grants emphasize reproducible scientific programming, framework debugging, and interdisciplinary tool development. Notable contributions include frameworks like Rose for web-based autodiff and Edgeworth for scalable visual activity authoring. Labs/Teams: Core contributor to the S3D group, collaborating with HCI and PL communities. Active in organizing PLATEAU workshops (2018–2023), fostering evaluation and usability research in programming languages.

• Pervasive Computing
• Wireless Sensor Networks
• Healthcare Informatics
• +۳ مورد دیگر

John Herbert is a Senior Lecturer in Computer Science at University College Cork (UCC), Ireland. His research focuses on pervasive computing, wireless sensor networks, and healthcare informatics, with notable projects like the CARA framework for falls assessment in the elderly. He holds a PhD in Computer Science from Cambridge University and has held visiting roles at institutions including SRI International and the University of Cambridge. Education: BSc (Experimental Physics), MSc (Experimental Physics), Postgraduate Diploma (Computer Science) from UCC; PhD (Computer Science) from Cambridge University. Research Grants: Led projects funded by Science Foundation Ireland (€163,726) and the Irish Research Council (€71,250), focusing on cloud computing and healthcare applications. His work emphasizes context-aware systems, data quality in medical environments, and real-time analysis. Selected awards include an International Fellowship from Digital Systems Research Center (1989) and visiting fellowships at Cambridge (2008-2009). Teaching: Courses include Advanced Software Engineering, Formal Methods, and Model-Based Software Development. Outreach: Advisor to award-winning student teams (e.g., IEEE mobile app contest) and collaborator with industry partners in China and Europe.

Jorge Bernal Bernabeمشاهده پروفایل

دانشیار

• Cybersecurity
• Internet of Things (IoT) Security
• Network Security
• +۷ مورد دیگر

Jorge Bernal Bernabe is an Associate Professor at the University of Murcia , affiliated with the Faculty of Informatics and the Department of Information and Communication Engineering . He holds a PhD in Computer Science from the University of Murcia (2015), focusing on 'Authorization and Trust Management in Distributed Systems Based on the Semantic Web.' His research group, Intelligent Systems and Telematics , explores cutting-edge cybersecurity solutions for IoT, 5G/6G networks, and privacy-preserving technologies. He is a key contributor to frameworks like OLYMPUS (privacy-aware identity management) and ARIES (European identity ecosystem). Education : PhD in Computer Science, University of Murcia (2015) Research Interests : His work centers on securing next-generation networks (e.g., 5G/6G), IoT privacy, federated learning applications for intrusion detection, blockchain-based identity systems, and policy-driven security enforcement. He emphasizes privacy-by-design principles and explores challenges in digital sovereignty and decentralized governance. Notable Projects : OLYMPUS: Oblivious identity management system ARIES: Pan-European identity framework ANASTACIA: Security agents for CPS/IoT INSPIRE-5Gplus: Cognitive security for 5G networks Labs/Teams : Active in the Intelligent Systems and Telematics Group , collaborating with industry partners on secure IoT deployments and 5G cybersecurity solutions.

• Service Operations Management
• Customer Experience Evaluation
• E-Business Supply Chain Management
• +۴ مورد دیگر

Sid Ghosh serves as a Senior Lecturer in Operations Management within the Faculty of Business and Law at Bournemouth University. Based at the Executive Business Centre (EB501), he maintains an active research profile with recent publications spanning service operations, digital business models, and sustainable supply chains. His research focuses on customer experience evaluation within service operations , technology's impact on service delivery , e-business supply chain management , and product/service quality systems . Recent work examines cryptocurrency investment behaviors, mobile app shopping adoption among UK millennials, and pandemic-driven shifts in online customer experience. His research connects to UN Sustainable Development Goals including Quality Education, Industry Innovation, Responsible Consumption, and Climate Action. Dr. Ghosh serves on the Editorial Board of The International Journal of Quality and Standards (a BSI journal) and has reviewed for ABS-rated journals including International Journal of Operations and Production Management. His publication record spans international journals such as International Journal of Project Management and Business Process Management Journal. Best Paper Prize at British Academy of Management Conference (Said Business School, Oxford, 2005) HEFCE Funded Bournemouth University Promising Researcher Fellowship (2004) Invited evaluator for AHRC grant proposals As a PhD Supervisor, he has guided doctoral research on topics including Six Sigma implementation in Ducab and airline operations performance during crisis periods. His current projects include assessing supply chain capabilities within the BCP Council Area. Dr. Ghosh is an active member of both the Academy of Marketing and the British Academy of Management, regularly presenting at their conferences.

• Logic
• Automated Reasoning
• Ontology Languages
• +۵ مورد دیگر

Ulrike Sattler is a Professor in the Department of Computer Science at the University of Manchester, where she also serves as Deputy Head of Department and Senior Mentor. Her academic journey includes a PhD from RWTH Aachen University (1998) and a Habilitation from the University of Manchester (2003). She has held roles such as Reader and Senior Lecturer at Manchester, and previously worked as a Senior Researcher at TU Dresden and RWTH Aachen. Her research focuses on logic-based knowledge representation, automated reasoning, and Description Logics, with contributions to OWL ontology languages and standardization. Notable awards include the Friedrich Wilhelm Preis (1999) for her PhD thesis. She has co-supervised over 20 PhD students, including prominent figures like Birte Glimm and Matthew Horridge. Her service contributions include co-chairing conferences (KR 2010, IJCAR 2012), editorial roles in journals like JAR and JAIR, and leadership in the W3C OWL Working Group. She teaches courses on ontology engineering and semantic web technologies, emphasizing practical applications in molecular biology and knowledge graphs.

Donatella Sciutoمشاهده پروفایل

استاد

• Electronic Design Automation
• Embedded Systems
• Multiprocessor Systems
• +۵ مورد دیگر

Donatella Sciuto is a Full Professor of Computer Science and Engineering at Politecnico di Milano, serving as Executive Vice Rector overseeing research strategies. She holds a PhD from the University of Colorado, Boulder and an MBA from Bocconi University. Her research focuses on embedded systems design, low-power electronics, and cyber-physical systems, with contributions to smart cities and ICT infrastructure. Education: Bachelor's in Electronic Engineering, Politecnico di Milano (1984) PhD in Electrical and Computer Engineering, University of Colorado, Boulder MBA, SDA Bocconi School of Management Research Interests: Embedded systems, multiprocessor architectures, hardware/software co-design, power-efficient computing, and building automation via IoT technologies. She leads the Embedded Systems Design research group at Politecnico di Milano and coordinates EU-funded projects in smart cities and reconfigurable systems. Awards: IBM Women Leaders in AI (2021) IEEE Fellow (2011) EDAA Fellow (2010) Outstanding Contribution Award, IEEE Computer Society (2009) Professional Roles: Board Member: Bank of Italy, Istituto Italiano di Tecnologia, STM, Avio Former President, IEEE Council of Electronic Design Automation (2011-2013) Executive Committee Member, Design Automation and Test in Europe (DATE) conference Labs/Teams: Leads the Embedded Systems Design and Design Methodologies group at Politecnico di Milano, collaborating with CEFRIEL on executive education programs in embedded systems and IoT.

Nora Mittelstädtمشاهده پروفایل

پژوهشگر

• Renewable Energy
• Bioeconomy Monitoring
• Environmental Compatibility
• +۳ مورد دیگر

Nora Mittelstädt is a Researcher and Project Lead at the Helmholtz Center for Environmental Research - UFZ in Leipzig, Germany. She has held roles in project coordination and research since 2020, focusing on nature-compatible renewable energy expansion and bioeconomy monitoring . Department : Systems Analysis and Sustainability Assessment Education : M.Sc. in European and International Economics and Politics Research Interests : Her work centers on renewable energy systems , environmental impact assessments , and data-driven sustainability solutions . She specializes in spatial analysis of energy infrastructure and policy integration for climate-neutral transitions. Publications : Her recent articles analyze ground-mounted PV near transport routes , EE-Monitor's role in environmental assessments , and bioeconomy stakeholder perceptions . These contributions align with energy data transparency and land-use optimization . Scientific Recognition : UFZ Research Award 2024 (team award for developing the EE-Monitor and BENOPT system) Contact : nora.mittelstaedt@ufz.de | +49 341 60252832

Jürgen Melznerمشاهده پروفایل

استاد

• Construction Management
• Occupational Health and Safety
• Building Information Modeling (BIM)
• +۴ مورد دیگر

Prof. Dr.-Ing. Jürgen Melzner is a Professor at the Faculty of Civil and Environmental Engineering at Bauhaus-Universität Weimar. His research focuses on construction operations, occupational health and safety, and BIM integration. He leads projects in lean construction management, noise pollution modeling, and safety planning using BIM. His work emphasizes digital transformation in construction processes and legal aspects of building permits. Education includes a Dr.-Ing. (Doctor of Engineering) with extensive career contributions to construction safety and process optimization. His teaching and research involve BIM applications, IoT integration, and interdisciplinary methods in construction education. Research interests span BIM-based safety systems, predictive noise simulation, ontology networks for construction data, and lean principles in project management. Recent articles address stakeholder management in permits, machine learning for site monitoring, and metaverse applications in urban planning. Notable advising includes guidance of master's students like Mahshid Birkholz and Nasim Babazadeh. His work bridges academic research with practical implementation through projects like BIMwissT and DROHNIS. Labs/teams: Active in the Chair for Construction Management and BIM, focusing on digital tools and safety innovation.

Emmanuel Giguetمشاهده پروفایل

پژوهشگر

• Computer Science
• Computer Forensics
• Natural Language Processing
• +۴ مورد دیگر

Emmanuel Giguet is a Researcher at the French National Centre for Scientific Research (CNRS), affiliated with the GREYC Laboratory (Computer Science Department) at the University of Caen, Normandy, France. He holds an HDR (Accreditation to Supervise Research) from the University of Caen (2011) and a PhD in Computer Science (1998), both focusing on multilingual natural language processing and document analysis. Roles: Cybersecurity Researcher, Communication and Scientific Mediation Adviser (GREYC Lab), Former Computer Forensics Legal Expert (2005–2015). Expertise: Digital Forensics, Natural Language Processing, Document Structure Analysis, Open Source Intelligence, Competitive Intelligence. His research spans cybersecurity, digital forensics, and NLP applications in document analysis. He co-founded Semiotime (2012), a Competitive Intelligence startup, and has contributed to tools like the GREYC Digital Investigation Platform (G'DIP). He teaches cybersecurity modules at the University of Caen, emphasizing digital forensics and information retrieval. Key Projects: Development of open-source digital investigation tools (e.g., G'DIP). Analysis of deepfake videos and forensic video forgery detection. PDF document structure extraction for financial narrative processing (FinTOC). Affiliations: GREYC Lab (CNRS UMR 6072), University of Caen. Institute for Information Sciences, University of Caen. Communication: Advises GREYC on branding and media presence, including logo guidelines, virtual backgrounds, and scientific mediation resources.

• Networking
• Distributed Systems
• Vehicular Ad-Hoc Networks
• +۳ مورد دیگر

Rui Manuel Pacheco Meireles is an Assistant Professor in the Computer Science Department at Vassar College since 2017. He is also a Researcher at the Instituto de Telecomunicações in Portugal. His research focuses on networking and distributed systems, particularly in Vehicular Ad-Hoc Networks (VANETs), aiming to enhance traffic safety, efficiency, and passenger entertainment through wireless vehicle communication. He holds dual PhDs from Carnegie Mellon University and the University of Porto, alongside an MS from Carnegie Mellon University. Education: PhD in Computer Science, Carnegie Mellon University PhD in Computer Science, University of Porto MS in Computer Science, Carnegie Mellon University Research Interests: Rui’s work emphasizes applied and experimental research, designing protocols, creating prototypes, and evaluating them in real-world environments. His primary focus is on vehicular networks, including Wi-Fi-based communication between vehicles and infrastructure. His contributions span network selection algorithms, throughput estimation, and geolocation-based sector selection for 802.11ad protocols. His research also touches on HTTP/2 performance analysis and testbed development like HarborNet. Publications: Rui has authored over 15 peer-reviewed articles, with recent work including Wi-Fi network diversity exploration and practical network selection protocols for vehicle-to-infrastructure communication. His 2016 paper on the LASP protocol won the Best Paper Award at IEEE VNC. Awards: Best Paper Award at IEEE Vehicular Networking Conference (VNC) 2016 Teaching: Rui teaches courses such as CMPU 203 (Software Design and Implementation) and has previously instructed data structures, algorithms, and computer networks courses at Vassar. He also shares teaching materials, including an introduction to Linux/Unix. Labs/Teams: Collaborates with the Instituto de Telecomunicações (Portugal) and has developed datasets for vehicular networks, including 802.11ad Wi-Fi datasets for infrastructure communication studies.

Chris Cornelisمشاهده پروفایل

استاد

• Machine Learning
• Fuzzy Sets
• Rough Sets
• +۳ مورد دیگر

Chris Cornelis is a full-time Professor in fuzziness and uncertainty modelling at Ghent University's Department of Applied Mathematics, Computer Science and Statistics. His research integrates fuzzy logic and rough set theory to advance machine learning methodologies for complex data analysis. Education: M.Sc. in Computer Science, Ghent University (2000) Ph.D. in Computer Science, Ghent University (2004) Research Focus: Cornelis pioneers fuzzy-rough hybrid systems for uncertainty handling in machine learning. His work spans theoretical foundations (e.g., implication operators, granular approximations) and practical applications including emotion detection, medical diagnosis, and imbalanced data classification. Key innovations include FRNN-OWA classifiers and polar encoding for missing values, demonstrating exceptional versatility in bridging abstract mathematics with real-world AI challenges. Publication Trends: Recent work (2023-2025) reveals intensified exploration of topological data analysis (Mapper-based rough sets), advanced granular computing (disjoint/adjacent fuzzy granules), and ethical AI ("No Imputation Without Representation"). His research shows consistent progression from foundational fuzzy-rough theory toward multi-disciplinary applications while maintaining mathematical rigor, particularly in Choquet integration and quantifier-based frameworks. Scientific Awards: No specific awards were documented in the provided sources. Research Support: Cornelis has secured competitive funding including FWO postdoctoral mandates, a Ramón y Cajal contract at the University of Granada, and an FWO Odysseus Type II project at Ghent University. These grants enabled foundational work in fuzzy-rough set theory and its applications to complex data problems. Research Unit: He leads research within Ghent University's Computational Web Intelligence (CWI) unit, focusing on intelligent data analysis systems that leverage fuzzy-rough methodologies for web-scale information processing.

• Molecular Ecology
• Conservation Biology
• Restoration Genetics
• +۳ مورد دیگر

Associate Professor Paul Nevill is affiliated with Curtin University's School of Molecular and Life Sciences within the Faculty of Science and Engineering. He holds roles including leadership in the MBioMe group (Minesite Biodiversity Monitoring with eDNA), membership in the TrEnD lab, and involvement with the ARC Training Centre for Healing Country. His research focuses on molecular approaches for species conservation, restoration genetics, and eDNA-based biodiversity monitoring. He collaborates with government agencies, industries, and academic institutions to advance ecological restoration and conservation practices. Paul's educational background includes extensive training in molecular ecology and conservation biology, reflected in his academic publications and projects. He teaches and coordinates units like ENST3000 at Curtin, and supervises HDR students, emphasizing hands-on mentorship in ecological research. His research interests span molecular ecology, restoration genetics, and the application of eDNA to monitor ecosystems. Notable projects include using spider webs and airborne particles for vertebrate detection, assessing soil microbial communities in mine restoration, and evaluating the impacts of land-use changes on root-fungal networks. His work bridges laboratory-based genomics with field ecology, addressing both theoretical and applied conservation challenges. Paul's collaborations extend to global initiatives, such as the 500 Plastome Project for plant conservation, and he actively participates in policy-relevant discussions on ethical seed sourcing and restoration targets. His contributions to ecological solutions are further highlighted through involvement in projects like microbial inoculation for mine-waste substrates and the use of miniaturized spectrometers for soil health assessment. In terms of awards, while no specific prizes are listed, his leadership roles and active membership in the Society for Ecological Restoration underscore his commitment to advancing conservation practices. His work has been published in high-impact journals like Trends in Plant Science , Biological Reviews , and Molecular Ecology , reflecting the interdisciplinary nature of his research.

Christoph Brabecمشاهده پروفایل

استاد

• Photovoltaics
• Perovskite Solar Cells
• Organic Electronics
• +۳ مورد دیگر

Prof. Christoph Brabec is a distinguished academic and researcher at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), holding the Chair of Materials Science. He is the spokesperson of the FAU Solar Profile Center and leads the Helmholtz Institute Erlangen-Nürnberg for Renewable Energy (HI ERN). His research focuses on photovoltaic technologies, particularly perovskite and organic solar cells, emphasizing sustainability, scalability, and material innovation. He has pioneered advancements in recycling photovoltaic materials, high-throughput screening, and automation-driven material discovery. His work bridges theoretical and applied research, addressing challenges in energy efficiency, device stability, and large-scale manufacturing. Prof. Brabec’s academic achievements include election as an ordinary member of the Bavarian Academy of Sciences and Humanities (BAdW) and recognition as a Highly Cited Researcher (Web of Science Group). His contributions span over 200 publications, with recent emphasis on automated laboratories (AMADAP), machine learning applications, and achieving world-record efficiencies in organic photovoltaic modules. Collaborations with global institutions, such as the City University of Hong Kong and Jinan University, underscore his international impact. His research group actively explores novel materials and processes, including recyclable solar cell designs, inkjet-printing on 3D objects, and light management systems. He emphasizes interdisciplinary approaches, combining materials science, computational modeling, and engineering to drive renewable energy innovation. Current projects target cradle-to-cradle recycling frameworks and scalable production methods for terawatt-scale photovoltaics.

Stephan Schlöglمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Artificial Intelligence
• Interaction Design
• +۶ مورد دیگر

Stephan Schlögl is a Full Professor at MCI - The Entrepreneurial School in Austria, leading research and teaching in Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Information Systems. He holds editorial roles at journals like the Springer Discover Artificial Intelligence Journal and MDPI Multimodal Technologies and Interaction Journal. His work spans over two decades, with key roles including Postdoctoral Research Fellow at Télécom ParisTech (2012–2013) and PhD Researcher at Trinity College Dublin (2008–2012). Schlögl’s research focuses on HCI, AI-driven conversational systems, and assistive technologies for aging populations. Education includes a PhD in Computer Science from Trinity College Dublin, an MSc in Human-Computer Interaction from University College London, and a Mag.(FH) in Applied Informatics & Management from MCI. His teaching spans Software Engineering, Business Intelligence, and Research Methods. Research interests emphasize natural language interfaces, AI ethics, and technology’s societal impact. Notable projects include the EU-funded EMPATHIC initiative (2017–2021), developing an empathic virtual coach for elderly care, and the CRYSTAL project (2024–present) on conversational systems for emotional support. Schlögl has supervised numerous theses on AI applications, chatbots, and UX design. He co-organized major conferences like CUI (Conversational User Interfaces) and received awards for best papers in AI-HCI and CHIRA. His work bridges academia and industry, addressing challenges in AI adoption, digital well-being, and ethical technology design.

Barbara Carminatiمشاهده پروفایل

استاد

• Access Control
• Adaptable Collaboration
• Compatibility-driven
• +۱۶ مورد دیگر

Barbara Carminati is a Professor at the Department of Theoretical and Applied Science, University of Insubria, Italy. Her work focuses on security, privacy, and trust management in decentralized systems, particularly online social networks, IoT, and emerging technologies like blockchain and digital twins. She has contributed extensively to access control, risk assessment, and collaborative frameworks. Her research spans trust modeling , privacy-preserving mechanisms , and malware detection , with a strong emphasis on decentralized social networks and UAV security . She actively explores the application of blockchain for secure workflows and information sharing. Recent publications highlight her engagement with large language models for security optimization, IoT botnet detection , and metadata leakage analysis . Her work bridges theoretical foundations with practical implementations in cybersecurity, social network management, and edge computing. Contact: barbara.carminati@uninsubria.it