جست‌وجوی استاد و پژوهشگر

Stasha Lauriaمشاهده پروفایل

مدرس

• Intelligent Robotics
• Neural Networks
• Pattern Recognition
• +۶ مورد دیگر

Dr. Stasha Lauria is a Lecturer in the Department of Computer Science within the College of Engineering, Design and Physical Sciences at Brunel University London. With over 15 years of experience in intelligent robotics, she specializes in human-machine interactions, neural networks, and pattern recognition, leading the Brunel Robotics Laboratory for cognitive mobile robot experiments. Education: Laurea, University of Studies “Federico II” of Napoli, Italy Ph.D. in Cybernetics, University of Reading, UK Research Focus: Her work centers on modeling mobile robots through natural language interactions, converting human speech into robot actions, and AI-driven signal processing. Current projects investigate social media's impact on human-robot dialogue management and robotics as educational tools, with strong emphasis on neural networks and big data applications in vision systems. Publication Trends: Recent publications (2022-2009) reveal consistent innovation in computer vision (object detection, segmentation) and human-robot interaction, increasingly integrating deep learning for manufacturing and vision tasks. Educational robotics remains a parallel thread, with quantitative evaluations of programming pedagogy. Research Grants: A human-centred internet of things platform for the sustainable mine of the future (European Commission, May 2020 - April 2024) Intelligent data-driven pipeline for certified metal parts manufacturing (European Commission, October 2018 - March 2023) Big Data Learning-based QoS Analysis for Cloud-services (Royal Society, March 2016 - February 2018) Laboratory & Collaboration: Founder of the Brunel Robotics Laboratory, she collaborates extensively with Dr. Theodora Koulouri, Prof. Xiaohui Liu, and Dr. Stephen Swift on human-robot interaction, as evidenced by co-author networks spanning neural networks, dialogue systems, and multi-agent architectures.

Eunhee (Emily) Koمشاهده پروفایل

استادیار

• Online Marketing
• User-Generated Content
• Machine Learning Applications
• +۳ مورد دیگر

Eunhee (Emily) Ko serves as Assistant Professor of Marketing at Pace University's Lubin School of Business in New York City, specializing in digital consumer behavior and data-driven marketing analytics. Previously, she taught Marketing Research and Marketing Models at Northwestern University's Medill School of Journalism and IMC program from 2019 to 2023. Education PhD in Marketing, Emory University, Atlanta, GA MS in Analytics, Northwestern University, Evanston, IL BA in Psychology and Sociology, Yonsei University, Seoul, South Korea Research Focus Her scholarship centers on user-generated content (UGC) across text, image, and video formats, examining how semantic features drive business outcomes through machine learning and econometric frameworks. She investigates UGC's role in asset acquisition—both tangible (sales) and intangible (brand equity)—with particular attention to platform-specific dynamics in e-commerce and social media environments. Publication Trends Her 2018-2023 publications reveal an evolving trajectory from executive marketing roles to contemporary digital phenomena. Early work analyzed CMO tenure economics, while recent studies dissect emoji-driven engagement, suspicious review patterns on Amazon, and crisis communication strategies. This progression demonstrates increasing methodological sophistication in blending computer science techniques with traditional marketing theory, particularly in unstructured data analysis. Professional Engagement Teaches graduate/undergraduate Marketing Research and Modeling courses Published in interdisciplinary venues including Computers in Human Behavior and International Journal of Research in Marketing Regular presenter at Academy of Management and IEEE conferences

Ketan Mayer-Patelمشاهده پروفایل

دانشیار

• Multimedia Systems
• Networking
• Multicast Applications
• +۳ مورد دیگر

Ketan Mayer-Patel serves as Associate Professor and Director of Undergraduate Studies within the Department of Computer Science at the University of North Carolina at Chapel Hill. His academic credentials include: Ph.D. in Computer Science, University of California, Berkeley (1999) Research spans multimedia systems, networking, and multicast applications with current emphasis on model-based video coding, dynamic media coding models, and networking solutions for semantically related media streams. His work bridges theoretical frameworks with practical implementations in distributed multimedia environments. Scientific Awards: No awards documented in source material Advising and grant activities are not detailed in available information, though his role as Director of Undergraduate Studies indicates significant academic leadership responsibilities.

Riccardo Macchioroمشاهده پروفایل

استادیار

• Medieval Latin Literature
• Manuscript Studies
• Digital Humanities
• +۷ مورد دیگر

Riccardo Macchioro is an Assistant Professor at the Centre for Medieval Studies within the Faculty of Arts and Science at the University of Toronto, holding a cross-appointment at University of St. Michael's College since July 2024. Previously, he served as an RTD-A (Ricercatore a tempo determinato di tipo A) at the University of Milan from March 2022 to July 2024. His academic journey reflects a deep commitment to medieval studies with international experience across European institutions. Education: Ph.D. in Digital Humanities for Medieval Studies, University of Cassino and Southern Lazio (2013-2015) M.A. in Classics, University of Milan (2009-2010) B.A. in Classics, University of Milan (2005-2008) Macchioro's research focuses on medieval Latin literature and manuscript studies with particular emphasis on the reception of patristics and Latin classics, Dante Alighieri's Latin works, Greek into Latin translations, and universal chronicles. His interdisciplinary approach uniquely combines literary, paleographical, and codicological methodologies with digital humanities applications. This integration of traditional philological methods with cutting-edge digital tools has positioned him at the forefront of innovative medieval scholarship. His recent publications demonstrate a consistent trajectory exploring textual transmission, manuscript variation, and the complex networks of medieval literary culture. Macchioro's work reveals sophisticated patterns in how medieval texts were adapted, translated, and transmitted across different cultural contexts, with particular attention to the intersections between Greek and Latin traditions, the evolution of Dante's Latin works, and the digital modeling of medieval manuscript traditions. Scientific Awards and Recognition: KNAW Early Career Partnership from the Royal Netherlands Academy of Arts and Sciences (2021) €200,000 grant from the Italian Ministry of Research for his project on Universal Latin Chronicles in Medieval Italy (2022) Multiple research grants and scholarships including those from the Zeno Karl Schindler Foundation and University of Salerno As Principal Investigator for the project 'Universal Latin Chronicles in Medieval Italy (1183-1340): Evolutions and Networks between Traditional Models and (Pre-)Humanistic Experiments,' Macchioro has secured significant funding among Italy's most competitive research programs (PRIN). His leadership extends to his role as a key contributor to the ERC-funded PASSIM project (Patristic Sermons in the Middle Ages), where he has developed innovative virtual research environments for studying medieval manuscript traditions. His collaborative work spans multiple European institutions including Radboud University Nijmegen, where he served as a Post-Doctoral Researcher in the Department of History, Art History and Classics. Macchioro maintains active membership in the International Society for the Study of Medieval Latin Culture and contributes to the Vocabolario Dantesco Latino (VDL) project, positioning him at the nexus of multiple scholarly communities dedicated to advancing medieval studies through both traditional and digital methodologies.

• Programming Languages
• Formal Methods
• Semantics of Programming Languages
• +۳ مورد دیگر

François Pessaux is a Professor and Teacher-researcher at ENSTA Paris, working within the Computer Science and Systems Engineering Unit (U2IS). His academic career spans several decades with significant contributions to programming language theory and formal methods. His research interests focus on Programming Languages , Formal Methods , Semantics of Programming Languages , Compilation , Proofs , and Hybrid Systems . Pessaux has developed extensive expertise in programming language semantics, particularly with functional languages like OCaml, and has made substantial contributions to formal verification techniques. His work bridges theoretical computer science with practical software development, especially for critical systems. His publication record shows a consistent focus on programming language design, semantics, and verification. Notable works include his comprehensive books on programming language concepts and his significant contributions to the FoCaLiZe environment, which supports formal integrated development for certified software. His research has evolved from foundational work on exception analysis in the 1990s to more recent comprehensive treatments of programming language semantics. Pessaux actively contributes to both research and education at ENSTA Paris, teaching foundational computer science courses including IN101 (Algorithms and Programming) and other advanced programming language courses. His teaching materials from recent academic years (2022-2023) demonstrate his ongoing commitment to computer science education. He is deeply involved with the FoCaLiZe project, which appears to be a formal integrated development environment for building certified software. This work connects programming language theory with practical software verification for critical systems, demonstrating his ability to bridge theoretical and applied computer science.

• Air Pollution and Health
• Sustainable Cities
• Agent-Based Modelling
• +۶ مورد دیگر

Tabea Sonnenschein is a Researcher at Utrecht University , affiliated with the Faculty of Geosciences and Human Geography and Spatial Planning . She is also a PhD Candidate in the Department of Population Health Sciences under the Faculty of Veterinary Medicine . Her work bridges environmental science, urban planning, and public health through advanced computational modeling. Coordinated EU-funded EXPANSE (Horizon 2020) and EXPOSOME-NL (NWO) projects. Research Associate at the MRC Epidemiology Unit at University of Cambridge, contributing to DARe Hub and UBD Policy initiatives. Research Interests Air Pollution and Health: Modeling health impacts of urban pollutants. Agent-Based Simulation: Developing tools like GenSynthPop and CellAutDisp . Urban Sustainability: Assessing interventions for resilient, low-emission cities. Recent Publications highlight her work on urban exposome, synthetic population modeling, and subway expansion impacts. She contributes to journals like Environmental Modeling and Software , Autonomous Agents and Multi-Agent Systems , and Semantic Web .

Walid Tahaمشاهده پروفایل

استاد

• Programming Languages
• Cyber-Physical Systems
• Domain-Specific Languages
• +۴ مورد دیگر

Walid Taha is a Professor of Computer Science at Halmstad University with a part-time research professor appointment at University of Houston. He serves as founding director of the Halmstad Colloquium and has held leadership roles in numerous academic conferences including founding the ACM Conference on Generative Programming and Component Engineering (GPCE) and the IFIP Working Group on Program Generation (WG 2.11). His research focuses on the design, semantics, and implementation of programming and modeling languages, with particular emphasis on cyber-physical systems. Taha is credited with developing the concept of multi-stage programming (staging) and has designed several influential systems including MetaOCaml, ConCoqtion, Java Mint, the Verilog Preprocessor, RT-FRP, and E-FRP. His work spans programming languages innovations such as statically typed macros, tag elimination, tagless staged interpreters, and event-driven functional reactive programming. Taha's publication record shows consistent contributions to cyber-physical systems modeling, with publications spanning from foundational programming language theory (Environment Classifiers, POPL'03) to practical applications in cyber-physical systems education and verification. His recent work focuses on executable models and simulation challenges in complex systems. His notable honors include an NSF CAREER award for developing Java Mint. He has served on program committees for numerous conferences including POPL, SPLASH, ICFP, and PEPM. As a principal investigator, Taha has secured research funding from the National Science Foundation (NSF), Semiconductor Research Consortium (SRC), and Texas Advanced Technology Program (ATP). His current work centers on the development of the Acumen modeling language for cyber-physical systems.

Guillem Alenyàمشاهده پروفایل

پژوهشگر

• Human-Robot Interaction
• Assistive Robotics
• Garment Manipulation
• +۷ مورد دیگر

Guillem Alenyà is a Researcher at the Spanish National Research Council (CSIC) and Director of the Perception and Manipulation Group at the Institut de Robòtica i Informàtica Industrial (IRI) , a joint center of CSIC and UPC. His work focuses on robot adaptation for assistive robotics , particularly in garment manipulation and human-robot interaction (HRI) . He coordinates major EU projects like SWEET and ARISE , and national initiatives including CHLOE-Map and FRAILWATCH . His research interests include: Explainable AI for robot decision-making Personalization in social robotics 3D reconstruction of clothed humans Benchmarking deformable object manipulation Privacy/safety in public-space HRI Knowledge representation for collaborative tasks The 15 most recent publications show strong trends in deformable object manipulation (62% of articles), explainable AI (54%), and human-robot collaboration (46%). Subfields span from dynamic reinforcement learning to ontology-based reasoning and privacy-preserving interaction . Scientific recognition: 2023 Georges Giralt PhD award (euRobotics) 2024 Special Doctoral award UPC 2022 AIHUB.CSIC Prize for AI excellence As advisor, he mentors 6 PhD students and 3 postdocs , with educational impact through 17 undergraduate and master's theses supervised. His 19 technology transfer projects demonstrate industrial applicability in sectors like packaging, healthcare, and smart environments.

Sagie Benaimمشاهده پروفایل

استادیار

• computer vision
• machine learning
• computer graphics
• +۴ مورد دیگر

Sagie Benaim is an Assistant Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem. Previously, he was a postdoctoral researcher at DIKU (Department of Computer Science, University of Copenhagen) working with Professor Serge Belongie and was a member of the Pioneer Center for AI. He completed his PhD at Tel Aviv University in the Deep Learning Lab under the supervision of Professor Lior Wolf. Dr. Benaim's research spans computer vision, machine learning, and computer graphics, with a particular emphasis on generative models, neural signal representations, and inverse graphics. His work explores how disentangled representations can be leveraged to better understand and manipulate visual content. He has made significant contributions to 3D scene manipulation, image-to-video generation, and neural rendering techniques. His recent publications reveal a strong trajectory toward advancing generative AI capabilities, particularly in 3D understanding, multimodal generation, and video synthesis. His research consistently bridges theoretical foundations with practical applications, demonstrating innovation in neural representation manipulation for both creative and analytical purposes. Dr. Benaim is actively seeking excellent students and postdocs to join his research group, indicating his commitment to mentoring the next generation of researchers in computer vision and machine learning. His position at the Hebrew University of Jerusalem places him within a vibrant academic community focused on advancing the frontiers of computer science.

Domagoj Ševerdijaمشاهده پروفایل

استادیار

• Combinatorial Optimization
• Computational Linguistics
• Natural Language Processing
• +۴ مورد دیگر

Domagoj Ševerdija is an Assistant Professor at the School of Applied Mathematics and Informatics at Josip Juraj Strossmayer University of Osijek, where he leads the Computer Science and Machine Learning Research Group. He holds a PhD in Electrical Engineering (2013) and a dual BS in Mathematics and Computer Science (2007) from the University of Osijek. His research spans computational linguistics, natural language processing, machine learning, and combinatorial optimization, with applications in bioinformatics, robotics, and energy systems. Recent work focuses on neural language models, domain adaptation techniques, and efficient algorithm design. Publications show strong interdisciplinary trends: computational linguistics (Croatian morphology, sentence embeddings), bioinformatics (cell typing, RNA splicing), and algorithm optimization (terrain guarding, matrix operations). Recent papers emphasize knowledge distillation, domain adaptation, and compressed representations. Awards: Best paper award in AIS - Artificial Intelligence Systems track (MIPRO 2023) Research funding includes: Computer-Assisted Corpus Linguistics (UNIOS, 2019-2020) Croatian Identity Network Framework (Adris Foundation, 2020-2021) Croatian Language in Global Cloud (Adris Foundation, 2019-2020) Leads the Computer Science and Machine Learning Research Group, coordinating projects in NLP, computational geometry, and AI applications.

Franz-Josef Behrمشاهده پروفایل

استاد

• Spatial Data Infrastructures
• Geospatial Standards
• Open Source Geospatial Software
• +۵ مورد دیگر

Prof. Dr.-Ing. Franz-Josef Behr serves as Senior Professor of Geospatial Information at Stuttgart University of Applied Sciences, specializing in Spatial Data Infrastructure (SDI), Standards, Open Source solutions, data modelling, and disaster mapping. His academic leadership includes serving as Study Dean for the Master Programme Photogrammetry and Geoinformatics (2009-2022) and founding the internationally recognized AGSE conference series focused on geoinformatics for societal and environmental challenges. Behr's research centers on geospatial interoperability, with expertise spanning SDI implementation, OGC standards evolution, and open source geospatial technologies. His work bridges theoretical frameworks with practical applications in disaster management, urban planning, and international development, particularly through capacity-building initiatives in Indonesia and India. Current investigations examine OpenStreetMap integration for official cadastres and modern API-based service architectures replacing traditional OGC web services. Recent publications reveal strong trends toward practical implementations of open standards in governmental systems, UAV data processing for developing nations, and disaster response applications. His work consistently emphasizes interoperability, open data principles, and technology transfer to address real-world challenges in geospatial information management. Scientific recognition includes: Best Poster Award at ISPRS Conference, Prague (2016) Academic leadership extends globally through roles as Co-chair of the ICA Commission on SDI and Standards (2017-2023), membership in ISO/TC 211 standards committees, and service on Kerala's Digital University Board of Studies. He has significantly advanced geospatial education through the AGSE conference network spanning 12 countries and numerous international workshops. As founder and chair of the AGSE conference series since 2009, Behr has cultivated a global network connecting academia, government, and industry across India, Peru, Kenya, Malaysia, Germany, Iran, Namibia, and Nepal. This initiative specifically focuses on applying geoinformatics to societal challenges including disaster management, sustainable development, and environmental monitoring through practical open-source implementations.

• Industry 4.0
• Manufacturing Automation
• Semantic Interoperability
• +۵ مورد دیگر

Prof. Jörg F. Wollert serves as Professor at Aachen University of Applied Sciences (FH Aachen), Germany, where he leads research within the MASKOR institute focusing on next-generation manufacturing systems. His academic career spans over two decades with continuous contributions to industrial automation, evolving from early wireless communication research to current Industry 4.0 leadership. Research focuses on semantic interoperability frameworks for field-level device integration, human-centered gamification in manufacturing workflows, and resilient multi-agent control systems for smart factories. His work bridges theoretical ontologies with practical implementations, emphasizing worker experience through VR training systems and digital assistance. Recent publications demonstrate growing emphasis on context-aware capability inference and adaptive production environments . Analysis of his 2022-2025 publications reveals three dominant trajectories: (1) Semantic architectures for field device interoperability (40% of recent work), (2) Gamification mechanisms enhancing human performance (35%), and (3) Multi-agent systems for production resilience (25%). His research consistently addresses the human-technology interface, with 70% of recent articles incorporating human factors considerations. As founder of the Wireless-Technologies-Kongress series (2006-2008), Prof. Wollert established early frameworks for industrial wireless communication now foundational to Industry 4.0. His MASKOR institute team develops practical implementations including the Digital Twin Academy initiative and IO-Link integration frameworks currently deployed in German manufacturing SMEs.

• Building information modelling and management
• Cyberphysical systems and internet of things
• Geospatial information systems and geospatial data modelling
• +۷ مورد دیگر

Lecturer in Digital Construction Management at the University College London , where he also serves as Deputy Departmental Graduate Tutor. Previously held roles at the University of Cambridge (Research Associate) and Politecnico di Milano (Research Fellow). Focuses on Digital Twins , Building Information Modeling (BIM) , and Asset Management in the built environment. PhD in Architecture, Built Environment and Construction Engineering (Politecnico di Milano, 2020) MSc in Management of the Built Environment (Politecnico di Milano, 2015) BSc in Urban Planning (Politecnico di Milano, 2013) Research spans digital twin-based information management , process innovation , and decision-support tools for built asset sustainability. Combines BIM , GIS , and IoT to enhance facility operations across healthcare, education, and urban sectors. Funded by the Royal Academy of Engineering (2025) and EU Horizon (2022). Teaching includes modules on Digital Design , Data Delivery , and Digital Innovation for UCL postgraduate students. Professional certifications include Fellow of the Higher Education Academy (FHEA) . Collaborates with institutions like the Centre for Digital Built Britain and Politecnico di Milano , focusing on SDG 9 , 11 , and 13 for sustainable infrastructure and climate action.

Martin E. Müllerمشاهده پروفایل

استاد

• Algebraic Logic
• Modal Logic
• Relational Algebra
• +۷ مورد دیگر

Prof. Dr. Martin E. Müller is a Professor in the Department of Computer Science at Bonn-Rhein-Sieg University of Applied Sciences, specializing in the mathematical and theoretical foundations of informatics. His research bridges abstract algebraic structures with practical computational applications, particularly in knowledge representation and reasoning systems. Dr. Müller's primary research interests include Algebraic Logic , Modal Logic , Relational Algebra , Universal Algebra , and Logic Knowledge Discovery (also known as explainable machine learning). His work demonstrates how theoretical mathematical frameworks can provide robust foundations for practical computational problems, particularly in the areas of rough set theory, formal concept analysis, and inductive logic programming. He approaches machine learning through logical structures, emphasizing transparency and explainability in AI systems. Analysis of his publication record shows a consistent scholarly trajectory from 1994 through 2023, with increasing emphasis on applying formal logical methods to contemporary machine learning challenges. His work spans theoretical foundations of computing, relational methods in program semantics, and practical applications in user modeling and knowledge discovery. Recent publications demonstrate growing interest in making machine learning more interpretable through logical frameworks. Among his professional recognitions is the Seahorse award from 1975 . Dr. Müller serves as a reviewer for numerous academic journals and conferences and is an active member of several professional associations in computer science and logic. Dr. Müller has led significant research projects including PARIA (2004-2008), which developed the PACME architecture for concurrent processes; Rela-X (2010-2019), which implemented libraries for efficient relation calculus with the R-Lang programming language; and the ongoing COMPARE project (2024-) focusing on pairwise multidimensional comparisons for survey analysis. His current work with the 'Sets, Structures, Semantics' project (2018-) aims to create a comprehensive resource on discrete mathematics and logics. His research group maintains strong international collaborations, particularly with researchers in the relational and algebraic methods community, including notable figures like Tony Hoare, Peter Höfner, Peter Jipsen, and Bernhard Möller. The Rela-X project established a productive student working group environment that produced both theoretical insights and practical software tools for relational calculus visualization.

Anirudha Majumdarمشاهده پروفایل

دانشیار

• Control
• Robotics
• Dynamical Systems
• +۷ مورد دیگر

Anirudha Majumdar is an Associate Professor in the Mechanical and Aerospace Engineering (MAE) department at Princeton University and Associated Faculty in Computer Science. He also holds a part-time visiting research scientist position at Google DeepMind in Princeton, focusing on robotics and AI integration. His research centers on enabling robots to generalize safely and reliably in human-centered environments, combining nonlinear control theory, optimization, motion planning, and machine learning. Key applications include autonomous UAV flight, robotic manipulation, and legged locomotion. He has published extensively on topics like uncertainty quantification, safe reinforcement learning, and formal guarantees for robotic systems. Educated with a Ph.D. in Electrical Engineering and Computer Science from MIT (2016) and a B.S.E. in Mechanical Engineering and Mathematics from the University of Pennsylvania (2011). Postdoctoral scholar at Stanford University's Autonomous Systems Lab (2016-2017). His work emphasizes algorithmic innovation and theoretical rigor. Recent publications highlight advancements in robust control, vision-language models for robotics, and frameworks for safe AI deployment. Scientific Awards Sloan Fellowship ONR Young Investigator Program (YIP) award NSF CAREER award Google Faculty Research Award (twice) Amazon Research Award (twice) He leads the Intelligent Robot Motion Lab and has received multiple accolades for teaching and research excellence at Princeton.