جست‌وجوی استاد و پژوهشگر

Jana Gonnermann-Müllerمشاهده پروفایل

پژوهشگر

• Human-Machine Interaction
• Educational Technology
• Cognitive Load Theory
• +۴ مورد دیگر

Jana Gonnermann-Müller is a research assistant at the Chair of Business Information Systems, Processes and Systems at the University of Potsdam . Holding an M.Sc. in Psychology from Humboldt University of Berlin, her work focuses on human-machine interaction, particularly examining learning, decision-making, and trust in technological collaborations. Degree: Master of Science (M.Sc.) in Psychology Alumni: Humboldt University of Berlin Current Role: Scientific Associate at University of Potsdam Research explores cognitive factors in augmented reality and AI assistance systems , employing experimental designs and eye tracking methodologies. Key projects include investigating visual guidance in AR, comparing AR display types, and developing frameworks for generative AI in education. Publications (2023-2025) demonstrate expertise in digital education , cognitive load optimization , and technology-enhanced learning . Collaborations span institutions like Hong Kong Polytechnic University , University of California, Davis , and Weizenbaum Institute , with corporate consulting on learning technology implementation. Technical focus areas include: Human-System Design Optimization Eye Tracking & Usability Studies AI Recommender Systems Industry 4.0 Implementation Research applications extend to: Secondary Education Technology Assembly Line AR Integration Change Management Systems Maintenance AR Visualization

Deepti Raghavanمشاهده پروفایل

استادیار

• Operating Systems
• Networking
• Machine Learning Systems
• +۲ مورد دیگر

Deepti Raghavan serves as Assistant Professor in Brown University's Department of Computer Science, specializing in operating systems, networking, and machine learning systems. Her research develops novel networked abstractions to optimize data movement in distributed applications through API redesign. Her educational background includes: PhD in Computer Science from Stanford University (2024) MEng in Computer Science from Massachusetts Institute of Technology (2018) BS in Computer Science from Massachusetts Institute of Technology (2017) Her research integrates systems infrastructure with machine learning workloads , focusing on performance-critical communication patterns. Key innovations include zero-copy serialization techniques and network orchestrators for compound AI systems, bridging theoretical advances with practical deployment in cloud environments. Publication trends (2018-2024) reveal consistent contributions to high-performance networking and ML systems, with increasing focus on AI infrastructure. Her work shows strong collaboration patterns with Stanford/MIT researchers and addresses fundamental challenges in data movement efficiency across distributed systems. Scientific recognition includes: National Science Foundation Graduate Research Fellowship (2019) Stanford School of Engineering Fellowship (2018-2019) Distinguished Artifact Award at SOSP 2023 Best Paper Award at Usenix ATC 2018 She actively recruits PhD students for her research group and teaches advanced systems courses including Cloud and Datacenter Operating Systems. Her research is supported by prestigious fellowships and likely NSF grants, with teaching responsibilities spanning graduate seminars and core undergraduate systems education. Her research group collaborates with Stanford's Systems Lab and MIT's CSAIL Networks group, maintaining strong ties to the Networks and Mobile Systems research community. Current projects focus on next-generation abstractions for AI-driven networked applications.

Claus Brabrandمشاهده پروفایل

استاد

• Computing Education Research
• Gender Studies in STEM
• Diversity in Technology
• +۳ مورد دیگر

Claus Brabrand is a Professor of Software Engineering and Head of the Center for Computing Education Research at the IT University of Copenhagen. His research focuses on computing education, gender diversity in STEM, and software product line analysis. He has led projects like DIREC (Digital Research Centre Denmark) and ATTiKA (Adaptive Tools for Technical Knowledge Acquisition), funded by the Innovation Fund Denmark and Villum Foundation. PhD in Computer Science Over 45 publications in computing education and software engineering Active in curriculum development and educational policy Research interests include improving teaching quality through learning technologies, gender representation in IT materials, and cognitive competencies in programming education. His work bridges software engineering principles with pedagogical innovations, addressing issues like novice programmer performance and curriculum design.

Onur Ulgenمشاهده پروفایل

استاد

• Industrial Engineering
• Discrete-Event Simulation
• Manufacturing Systems
• +۵ مورد دیگر

Onur Ulgen is a Professor in the Industrial and Manufacturing Systems Engineering department at the University of Michigan-Dearborn , where he has held positions since at least 2011. His work focuses on applying simulation techniques to solve complex problems in manufacturing and industrial systems. Education Ph.D., Industrial Engineering , Texas Technological University M.S., Industrial Engineering , Texas Technological University B.S., Mechanical Engineering , Robert College Research Interests Professor Ulgen specializes in Discrete-Event Simulation (DES) applications across multiple domains. His work addresses Automotive Manufacturing challenges like assembly line optimization, selectivity bank modeling, and deadlock prevention. He also investigates Steel and Metal Manufacturing systems, high-speed production lines, and Medical Logistics resource allocation. Key subfields include production scheduling, software selection for industrial simulation, and integrated systems modeling. Recent Article Trends His publications from 2015 to 2007 demonstrate a sustained focus on simulation for Automotive , Aerospace , and Healthcare industries. Topics include capacity planning, material handling optimization, and simulation-based design validation. Specific methodologies emphasize discrete-event simulation , throughput analysis , and deadlock prevention in complex systems. Grants and Projects Ford Motor Company (2011-2012): Modeling selectivity buffers for conflicting constraints in vehicle assembly SAP America, Inc. (2000): Nonlinear demand forecasting and inventory management uncertainty SME Education Foundation (1996-1997): Manufacturing engineering support

Roman Franz Froschauerمشاهده پروفایل

استاد

• Software Engineering for Intelligent Automation Systems
• Human-Robot Interaction
• Control Systems
• +۷ مورد دیگر

Roman Franz Froschauer is a Professor of Production Informatics at the Upper Austria University of Applied Sciences, Research Center Wels. Since 2018, he has served as Director of Studies for the Master's program in Robotic Systems Engineering and leads the Smart Automation & Robotics research group. His career spans academic and industrial roles, including senior software development and project management at AlpinaTec Technical Products GmbH (2010-2016). Education: Ph.D. in Computer Science (2010) from Johannes Kepler University Linz; Master's in Industrial Informatics (2005) from Upper Austria University of Applied Sciences. Research Areas: Software engineering for intelligent automation systems, human-robot interaction (HRI), control systems, and applications of IEC 61499 standards. His work focuses on proactive collaboration, trajectory planning, and user-centered design for assistive robots in office and industrial settings. Scientific Activities: Active in peer-review, conference organization, and technology development. Projects include VRoboCoop (human-robot trust), MARIE (office robotics), and Autility (automated utility vehicles). Key Contributions: Frameworks for modular manufacturing (PlugBot), skill-based engineering, and intralogistics automation (ATLAS).

Maryam Razavianمشاهده پروفایل

استادیار

• Information Systems
• Software Engineering
• Software Architecture
• +۳ مورد دیگر

Maryam Razavian is an Assistant Professor in the Information Systems group within the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e). Her research focuses on understanding and guiding information system design processes from both business and technical perspectives. Dr. Razavian received her PhD in Computer Science from VU University Amsterdam, where her dissertation focused on knowledge-driven migration to services funded by the NWO/Jacquard SAPIENSA project. She also holds an MSc from Tehran University and has worked as a Research Assistant at Politecnico de Torino. Her research interests include information system design reasoning, human aspects of information system design, software architecture, service orientation, and increasingly focuses on ethical considerations in software systems. A common theme in her work is understanding how designers carry out design thinking as a key to developing models and approaches for guiding information system design. Dr. Razavian's publication record demonstrates consistent contributions to software engineering and information systems research, with recent work focusing on ethical values in software systems, stakeholder inclusion, and the integration of rational and intuitive thinking in design processes. Her research examines how to incorporate ethical values into architecture design decision-making, including the development of the Ethics-Aware DecidArch Game to help software architects reflect on ethical considerations. Active member of program committees for major conferences including ICSE/SEIS (2015), WICSA (2015-2017), ER (2013-2014) Reviewer for journals such as Journal of Systems and Software and IEEE Software Teaches courses in research methods and design of AI systems at TU/e Her work bridges the gap between technical design processes and their broader societal implications, positioning her at the forefront of research on ethics in software engineering.

• Software Engineering
• Workflow Management Systems
• Image Analysis
• +۲ مورد دیگر

Michał Turek is a Professor at the Department of Applied Informatics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary workplace is located in room 303a of building C-2, and he maintains active contact through email (mitu@agh.edu.pl) and phone (+48 12 617 52 03), indicating current academic engagement. His research spans Software Engineering with particular emphasis on Workflow Management Systems integration with industrial applications, Image Analysis for 3D surface inspection, and Agile Methodologies implementation. Turek has pioneered innovations in Scrum adaptation for multi-project environments and software product lines, while developing formal verification frameworks for business processes and service-oriented architectures. His work bridges theoretical computer science with practical industrial solutions, especially in automated damage identification systems and workflow optimization. Analysis of his 15 most recent publications reveals consistent focus on workflow system intelligence (2020-2022), with significant contributions to automatic correction mechanisms and smart procedure integration. Earlier works (2010-2016) demonstrate deep expertise in formal verification methods, Scrum economics, and 3D surface analysis techniques. The publications show interdisciplinary convergence between software engineering, computer vision, and industrial automation, with recurring themes of system resilience and process optimization across both English and Polish scholarly outputs.

Elisa Baniassadمشاهده پروفایل

استاد آموزشی

• Software Engineering
• Educational Technology
• Aspect-Oriented Programming
• +۳ مورد دیگر

Elisa Baniassad is a Teaching Professor in the Department of Computer Science at the University of British Columbia (UBC), within the Faculty of Science. She specializes in software engineering education and has received numerous teaching accolades including the UBC Killam Teaching Prize and CS-Can/INFO-CAN Excellence in Teaching Award. Her courses focus on software construction, engineering principles, and advanced software design. Dr. Baniassad has taught CPSC 310 (Introduction to Software Engineering), CPSC 210 (Software Construction), and CPSC 410 (Advanced Software Engineering) across multiple terms since 2000. Her research interests span educational methodologies in software engineering, aspect-oriented programming, and the design of effective learning tools. Notable contributions include studies on team dynamics in software development, automated assessment techniques, and pedagogical frameworks for large-scale programming courses. She has authored over 50 peer-reviewed articles on topics ranging from mutation analysis in student tests to the efficacy of online learning environments. Awards include recognition for teaching excellence at UBC and contributions to computer science education. Her work emphasizes practical applications of software engineering principles in academic settings, with a focus on fostering student mastery through innovative assessment strategies and feedback mechanisms.

• Scientific Computing
• Computational Fluid Dynamics
• Finite Element Methods
• +۳ مورد دیگر

Johan Jansson is an Associate Professor in Scientific Computing at KTH Royal Institute of Technology and BCAM (Basque Center for Applied Mathematics). He leads research in predictive Direct FEM Simulation (DFS) for aerodynamics and multiphase flows, and co-founded Icarus Digital Math as CEO. His work includes the FEniCS open-source finite element software project and MOOC-HPFEM educational initiatives. He holds roles as Director of the Center for Digital Math and collaborates internationally in computational science. Research focuses on high-performance computing (HPC), fluid-structure interaction (FSI), biomedical modeling, and renewable energy systems. Notable contributions include adaptive FEM frameworks for turbulent flow, vocal fold simulations, and wave energy converter modeling. His work bridges academic research with industrial applications, leveraging FEniCS-HPC and Unicorn solvers. Key achievements include election to the IVA Royal Swedish Academy of Sciences 100-list and securing the Severo Ochoa Center of Excellence Award. He has pioneered open-source tools like SimTek and contributed to major projects like the Salter Sink and vocal production modeling. Teaching responsibilities include courses on database technology, computational fluid mechanics, and research methodology. He actively engages in large-scale simulation projects involving marine energy, cardiac ablation protocols, and aerodynamic optimization.

Ana Moreiraمشاهده پروفایل

استاد

• Requirements Engineering
• Model-Driven Development
• Sustainability Engineering
• +۱۲ مورد دیگر

Ana Moreira is a Full Professor in the Computer Science Department at the Faculty of Science and Technology, NOVA University of Lisbon, and a leading researcher at NOVA LINCS, where she heads the Software Engineering group and serves on the Steering Committee. She is actively involved in major international conferences such as ICSE, MODELS, RE, and REFSQ, holding roles including Program Chair, Track Chair, and General Chair. Her research focuses on systematic approaches to software engineering, with emphasis on requirements engineering, model-driven development, sustainability engineering, and software quality. Key areas include stakeholder requirements, human values, quality attributes, and traceability in software product lines. She has pioneered work in early-phase modeling through co-founding the pUML and Early Aspects movements. Her publications span topics such as non-functional requirements in model-driven development, software sustainability, and neurodivergent-inclusive requirements elicitation. These reflect a strong trend toward human-centered, sustainable, and traceable software systems, combining theoretical rigor with practical impact. Best Paper Award (multiple) 10-Year Most Influential Paper Award on Aspects (2013) SoSyM Best 10-Year Paper Award (awarded at MODELS 2020) Ana has supervised 7 PhD students, co-supervised 2 from Brazil, advised 9 postdoctoral researchers, and guided over 60 MSc students. She has coordinated multiple research projects and holds leadership roles in academic governance, including on the Council Board of IREB and editorial boards of top journals like IEEE TSE, Requirements Engineering Journal, and SoSyM. She frequently organizes workshops such as MoDRE and contributes to journal-first tracks. She leads the Software Engineering group at NOVA LINCS, a premier research lab in computer science, and continues to shape the future of model-driven and sustainable software engineering through active collaboration, mentorship, and innovation.

Selin Karaمشاهده پروفایل

استاد

• Industrial Biotechnology
• Biocatalysis
• Enzyme Immobilisation
• +۳ مورد دیگر

Professor Selin Kara is affiliated with the Department of Biological and Chemical Engineering at Aarhus University, Faculty of Engineering. Her primary research focuses on Industrial Biotechnology, Biocatalysis, and Process Intensification, with expertise in Enzyme Immobilisation and Sustainable Process Engineering. She leads projects exploring novel biocatalytic processes, non-conventional reaction media, and the optimization of enzymatic reactions for industrial applications. Her research integrates experimental and computational approaches to enhance enzyme performance in non-aqueous solvents like deep eutectic solvents (DES) and lipid-based systems. Projects include developing photocatalytic synthesis methods, fusion enzymes for enzymatic cascades, and novel hydrogel characterization techniques. She has contributed to advancing light-driven sustainable biocatalysis and improving antimicrobial biomaterials. Key projects include the PHOTOX-f initiative (2025) and PhotoBioCat network (2018-2022), focusing on light-dependent biocatalytic systems and sustainable chemical production. Her work emphasizes industrial applications, environmental impact analysis, and process optimization for scalable biocatalytic solutions. Award-winning educator and researcher, Professor Kara collaborates internationally and holds a prominent role in training early-stage researchers in sustainable biocatalysis through EU-funded networks. Her labs specialize in enzymatic process development, material characterization, and continuous flow bioreactors.

• Artificial Intelligence
• Natural Language Processing
• Computational Linguistics
• +۶ مورد دیگر

Ayşenur Akyüz Birtürk serves as a Lecturer in the Department of Computer Engineering at Middle East Technical University (METU), Ankara, where she has taught since February 1994. Her academic career spans foundational programming courses to advanced graduate seminars in AI and Computational Linguistics, reflecting 30+ years of institutional commitment. She earned all her degrees from METU, culminating in a 1998 Ph.D. focused on Turkish language computational analysis. Her educational journey includes: B.S. in Computer Engineering (1985) M.S. in Computer Engineering (1988) with thesis on “A Model for Representing Concepts: Conceptual Dependency Theory” Ph.D. in Computer Engineering (1998) with thesis on “A Computational Analysis of Turkish using the Government-Binding Approach” Dr. Birtürk’s research centers on Artificial Intelligence and Natural Language Processing , with pioneering work in Turkish language parsing evolving into modern Recommender Systems . She integrates semantic relations and multi-domain data to build hybrid engines for movies, books, and music, emphasizing user modeling through knowledge representation and data mining techniques. Analysis of her 2010-2015 publications reveals two dominant threads: adaptive recommender systems (80% of output) using semantic similarity and dynamic clustering, and renewable energy analytics (20%) applying machine learning to wind/hydrological data. This pivot from NLP to energy forecasting demonstrates methodological versatility while maintaining core AI expertise. Her scientific recognition includes: TUBITAK scholarships throughout education (1977-1988) Multiple national contest awards in high school (1979-1980) Leadership in TUBITAK-funded energy and healthcare projects Dr. Birtürk has supervised 17 Master’s theses in NLP and recommender systems while securing competitive grants including METU-ISTEC #17435 (2006-2008; 504,000 YTL) and HASAT (2010-2013; 601,637 YTL). Her industry consultancy spans medical form design (FormAnalitik), question-answering systems, and retail intelligence platforms, translating academic research into real-world tools.

Peter Sestoftمشاهده پروفایل

استاد

• Programming Languages
• Software Development
• Parallel Programming
• +۴ مورد دیگر

Peter Sestoft is a Professor at the IT University of Copenhagen (ITU), leading the Computer Science Department since 2017. His primary roles include academic leadership, research in programming languages and software engineering, and teaching. He holds a PhD in Computer Science from the University of Copenhagen (1991) and has held academic positions at institutions like the Royal Veterinary and Agricultural University and the Technical University of Denmark before joining ITU in 1999. His research focuses on programming languages, functional and managed object-oriented languages, parallel programming, compilers, and spreadsheet implementation technologies. He has developed influential tools like the C5 Generic Collection Library for C# and Moscow ML, a Standard ML implementation. His work on Funcalc and Corecalc advanced spreadsheet technology with user-defined functions and efficient recalculation algorithms. Key contributions include over 30 publications, including books on programming language concepts and Java/C# syntax. He has led major research projects such as 'Popular Parallel Programming' (P3) and 'Probabli' for actuarial calculations. His academic service includes roles on national grant committees and international conference organizing committees. Notable advising includes PhD students like Andrzej Wasowski (ITU Professor) and David Christiansen (Director of Haskell Foundation). His work has been recognized through grants exceeding 25 million DKK and collaborations with institutions like Microsoft Research and Harvard University.

• Generative Programming
• Model-Based Development
• Software System Families
• +۷ مورد دیگر

Krzysztof Czarnecki is a Professor at the University of Waterloo's Department of Electrical and Computer Engineering, with a cross-appointment to the School of Computer Science. He serves as leader of the Waterloo Intelligent Systems Engineering Lab and holds the title of University Research Chair. His research focuses on generative software development, model-driven engineering, and autonomous systems, particularly in automotive cybersecurity and perception safety. Education: Doctorate in Computer Science, Technical University of Ilmenau (1999) Master of Science in Computer Science, Technical University of Ilmenau (1995) Bachelor of Science in Computer Science, California State University (1994) Research Interests: Dr. Czarnecki's work spans generative programming, software product lines, and safety-critical AI for autonomous vehicles. Recent projects address robust perception systems, uncertainty quantification in neural networks, and strategic driving behavior modeling. He co-authored Generative Programming (Addison-Wesley, 2000), a foundational text in the field. Publications Trends: Recent work emphasizes multimodal AI integration (e.g., LEO-MINI), 3D object detection improvements (OV-SCAN), and safety assurance frameworks for autonomous systems. His research bridges theoretical software engineering with applied robotics challenges. Awards: Premier’s Research Excellence Award (2004) British Computing Society’s Upper Canada Award (2008) University Research Chair, University of Waterloo (2023) Teaching & Leadership: Teaches courses like ECE 495 (Autonomous Vehicles) and ECE 651 (Software Engineering Foundations). Oversees WatCAR initiatives and collaborates on industry projects through the NSERC Bank of Nova Scotia Industrial Research Chair (previous). Labs & Teams: Directs the Waterloo Intelligent Systems Engineering Lab, focusing on AI-driven solutions for autonomous systems and safety-critical software. Active in cross-disciplinary collaborations with automotive and robotics partners.

Lawrence Sassمشاهده پروفایل

استاد

• Digital Fabrication
• Low-Cost Housing
• Construction Automation
• +۳ مورد دیگر

Lawrence Sass is a Professor and Chair of the Computation Group in the Department of Architecture at MIT's School of Architecture + Planning. His research focuses on design innovation using digital fabrication, particularly in low-cost housing and construction automation. He pioneered methods to reduce home construction steps through computational tools, including the concept of Snap Assembly building systems showcased at MoMA in 2008. His work has inspired startups in digitally fabricated housing. B.Arch from Pratt Institute (1990) Master’s (1994) and PhD (2000) from MIT Research interests include sustainable construction techniques, 3D printing in architecture, and material optimization. He co-founded LuBan3D, a software system enabling large-scale 3D modeling with affordable tools. Current projects explore AI and robotic systems for home production. Awards include the prestigious MacVicar Faculty Fellow recognition. His teaching includes courses like Design Computation (4.500) and Tiny Fab (4.501), emphasizing computational methods in architectural design. Collaborations include work with Singapore-based researcher Prof. Lujie Chen on large-scale fabrication software. His lab focuses on integrating digital tools into physical production workflows, aiming to democratize construction through accessible fabrication technologies.