جستجوی استاد راهنمای دانشگاهی

Lennert Loosمشاهده پروفایل

استادیار

• Structural Design
• Computational Design
• Parametric Design
• +۵ مورد دیگر

Lennert Loos is an Assistant Professor at the University of Leuven's Faculty of Architecture, specializing in architectural engineering with a focus on computational and parametric structural design. He concurrently works as a freelance software developer and structural designer at NEY + Partners. His academic career includes a PhD from Vrije Universiteit Brussel (2015–2019) and a Master's degree in Architectural Engineering (2013–2015). Research interests encompass structural form-finding, parametric design tools, bridge engineering, and sustainable construction methodologies. Notable projects include the Parkbrug in Antwerp (winner of the 2017 Footbridge Award), parametric scripting for road bridges in France, and bending-active gridshell structures during his PhD. He also develops academic tools like Academic Compass and NEY CODE for data visualization and project management. Teaching responsibilities include courses on structural design integration (Ontwerpen II), form-finding principles (Form and Force), and structural morphology (Structuur en morfologie). He supervises master's theses on footbridge design and advises doctoral research on generative structural systems. Professional affiliations include the Jonge Academie and roles on doctoral committees addressing architectural sustainability and urban development. Technical expertise spans structural analysis software (SOFiSTiK, SCIA Engineer), parametric modeling (Grasshopper3D), and web development (Node.js, PHP). His work bridges architectural innovation with computational efficiency, emphasizing collaboration between design and engineering disciplines.

Adam Grant Worralloمشاهده پروفایل

دانشگاهی

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +۹ مورد دیگر

Dr. Adam Grant Worrallo is an Associate Lecturer in Computer Science at the School of Mathematics and Computer Science, Faculty of Science and Engineering, University of Wolverhampton. He holds a PhD from the same institution, awarded in 2020, and specializes in Virtual and Augmented Reality, Human-Computer Interaction, and Game Development. Education: BSc (Hons) in Computer Science (Games Development) MSc in Computer Science PhD in Computer Science from the University of Wolverhampton (2020) His research focuses on immersive technologies, including Virtual Reality, Augmented Reality, Mixed Reality, Haptics, and Visual Computing . He also explores applications in mobile and web development, gaming, and software engineering , with a strong emphasis on user interaction and interface design. His technical expertise spans Unity3D, Python, JavaScript, Android SDK, and AI frameworks like TensorFlow and Keras. His recent publications highlight innovations in optical hand tracking for VR, dual-mode web-based 3D interfaces, and assistive technologies using low-cost brain-computer interfaces. These works reflect a consistent focus on enhancing user experience in interactive digital environments , particularly through novel input methods and accessible design. Professional Affiliations: Fellow of the Higher Education Academy Professional Member of the British Computer Society (BCS) Dr. Worrallo brings industry experience as an independent mobile developer and former Systems Assistant Engineer. He has designed and marketed mobile apps for iOS and Android and developed applications for smart home devices like Alexa and Google Home. His development experience covers full-stack technologies including Node.js, MongoDB, Flutter, PHP, and Docker, under both agile and waterfall methodologies. He is actively involved in teaching and research at the University of Wolverhampton, contributing to both academic and practical advancements in computer science education and interactive technology.

Sina Keshvadiمشاهده پروفایل

استادیار

• Computer Networks
• Internet Measurement
• Cybersecurity
• +۳ مورد دیگر

Sina Keshvadi is an Assistant Professor in the Department of Software Engineering at Thompson Rivers University (TRU), Kamloops, BC, Canada. He holds a Ph.D. in Computer Science from the University of Calgary (2017–2021) and previously served as a teaching faculty member at Payame Noor University, Tehran, Iran (2012–2017). His research focuses on Computer Networks and Internet Measurement, aiming to improve understanding of internet behavior and evolution through data-driven analysis. He also collaborates on pedagogical approaches for cybersecurity education. Education: Ph.D. in Computer Science, University of Calgary (2017–2021) Teaching Faculty, Payame Noor University (2012–2017) His research interests include Multipath QUIC optimization, path-aware network architectures (e.g., SCION), and the Scholarship of Teaching and Learning (SoTL) in cybersecurity. He advises graduate students and has taught courses in Network Security, Web App Development, System Programming, and C++ Programming. His research team includes current members Alissa Baumeister, Damien Rossi, and Lars Herschbach, with notable alumni including Nithiya Shri Muruganandham and Varun Mayilvaganan. Teaching Contributions: Courses span systems programming, web development, and cybersecurity. Recent topics include React, Node.js/Express, and full-stack design principles.

• Software Engineering
• Web Application Programming
• Applied Informatics
• +۳ مورد دیگر

Grzegorz Rogus is a Lecturer at the Department of Applied Informatics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology in Kraków. His teaching responsibilities include postgraduate programs in Software Engineering and Web Application Programming, with a focus on practical aspects like software testing and modern web technologies (Vue, Node.js) and frameworks (Ruby on Rails). Research Interests: His work centers on applied software engineering, web development, testing methodologies, and information systems design. These align with the Department of Applied Informatics' emphasis on translating theoretical knowledge into real-world applications.

José Fragoso Santosمشاهده پروفایل

استادیار

• JavaScript Verification
• Formal Methods
• Symbolic Execution
• +۳ مورد دیگر

Welcome to my home page. I am an Assistant Professor at the Department of Computer Science and Engineering, Instituto Superior Técnico, University of Lisbon, and a researcher at INESC-ID's SAT group. My work focuses on embedding formal methods into software development, particularly for JavaScript programs. PhD in Computer Science, University of Nice Sophia Antipolis (2014) MSc in Information Systems and Computer Engineering, Instituto Superior Técnico (2008) My research spans JavaScript verification, symbolic execution, and separation logic. I developed JaVerT, the first separation-logic-based tool for JavaScript analysis, used by Amazon to verify the AWS Encryption SDK and recognized with a Facebook Research Award. Recent publications highlight trends in symbolic execution, JavaScript security, and WebAssembly analysis. Key projects include Gillian (multi-language symbolic execution platform), Rexstepper (regular expression debugger), and Wasmati (WebAssembly vulnerability scanner). Facebook Research Award Supervised students include PhD researcher Gabriela Cunha Sampaio and MSc students Pedro Lopes, Carolina Costa, and others. Current teaching subjects: Analysis and Synthesis of Algorithms, Object-Oriented Programming, Software Security. Affiliated with the SAT group at INESC-ID and the Verified Trustworthy Software Specification group at Imperial College London.

• Software Engineering
• Web Development
• Database Systems
• +۲ مورد دیگر

Robert Jonsson serves as a University Lecturer at Mid Sweden University's Department of Communication, Quality Technology and Information Systems (KKI) in Östersund, where he has been continuously employed since graduating in 2001. His primary institutional affiliation centers on the Software Engineering program within the university's technical academic structure. Academic Background IT Engineering program at Mid Sweden University (then Mitthögskolan), 1998-2001 Research and Teaching Expertise Specializing in practical software development, his teaching portfolio spans foundational programming (Java, Android), database systems, and modern web technologies (JavaScript, HTML5, Angular, Node.js). His instructional approach emphasizes industry-relevant skills development through hands-on coursework, directly shaping curriculum within the Software Engineering program where he serves as Program Manager since autumn 2019. Academic Leadership Program Manager for Software Engineering program (2019–present) Primary instructor for core programming and web development courses Professional Engagement Since joining Mid Sweden University immediately after graduation, he has maintained continuous instructional involvement—from initial lab supervision during studies to current program leadership—demonstrating deep institutional commitment through course development and student mentorship across multiple technical domains.

Olar Oleksandr Valeriyuvychمشاهده پروفایل

استادیار

• Computer Science
• Web Development
• Machine Learning
• +۳ مورد دیگر

Olar Oleksandr Valeriyuvych serves as an Assistant Professor in the Department of Computer Science at Yuriy Fedkovych Chernivtsi National University, holding a Candidate of Physical and Mathematical Sciences degree with expertise spanning computer science and optics. His interdisciplinary work bridges web development, machine learning, and biomedical imaging applications. Education: Graduated from Yuriy Fedkovych Chernivtsi National University (2015) with a degree in Laser and Optoelectronic Engineering (Research Engineer) Awarded Candidate of Physical and Mathematical Sciences (2019) for dissertation on 'Differential Muller-matrix diagnostics of polycrystalline structure of biological layers' (Specialty 01.04.05 – Optics, laser physics) His research integrates computational techniques across two primary domains: computer science (web development frameworks, machine learning algorithms, distributed systems) and optics (Mueller-matrix polarimetry, biomedical tissue analysis, forensic diagnostics). Recent publications demonstrate strong interdisciplinary collaboration, particularly in developing web applications for health monitoring systems and computational methods for optical field analysis. Analysis of his 15 most recent publications reveals evolving focus from pure optics research (2018-2020) toward computer science applications (2021-2024), with increasing emphasis on machine learning implementations and full-stack development. Key trends include convolutional neural networks for image recognition, distributed computing solutions for optical simulations, and practical web frameworks for real-world applications like pandemic monitoring and e-commerce systems. Professional Activities: Member of Bukovina Information Technology Cluster (Chernivtsi IT Cluster) since 2021 (Certificate CB No. 102021) Practitioner for 'New Side Solutions' company Author of multiple textbooks including 'Applied Programming: From Theory to Practice' (2021) and 'Modern Web Development Technologies: Frontend Development' (2022) He maintains active professional development through numerous certifications including Google Project Management specialization and advanced React/Node.js training, while teaching JavaScript technologies courses. Information regarding specific student advising and grant funding details is not provided in available sources.

Patrick Krammlمشاهده پروفایل

پژوهشگر

• Web Development
• Software Development
• Artificial Intelligence
• +۳ مورد دیگر

Patrick Kramml is a Junior Researcher in the Digital Technologies Research Group at the Institute of Creative\Media/Technologies, University of Applied Sciences St. Pölten. He is affiliated with the Department of Media and Digital Technologies and has been a Research Assistant and Tutor since November 2022. His educational background includes a B.Sc. in Media Technology (completed 2022) and an ongoing Master's in Digital Healthcare. His research interests span web and software development (with expertise in React, Vue, Node.js, Next.js, Python, and SwiftUI), AI algorithms , and paramedic technology applications . He integrates his volunteer experience as an emergency paramedic with the Red Cross Lower Austria into his technical work. No recent publications or supervised students are noted in the provided data. Kramml's professional experience includes an internship at BD Austria (2022) and ongoing contributions to academic tutoring in web technologies.

Karol Chlastaمشاهده پروفایل

استادیار

• Artificial Intelligence
• Artificial Neural Networks
• Machine Learning
• +۷ مورد دیگر

Dr. Karol Chlasta serves as an Assistant Professor in the Faculty of Management in Networked and Digital Societies at Kozminski University in Warsaw. He earned his doctoral degree in engineering and technical sciences from the Polish-Japanese Academy of Information Technology in 2023, defending his dissertation "Neural Simulation Pipeline for Liquid State Machines" with distinction (summa cum laude). His academic journey includes a Master's degree in Economic Computer Science from the University of Economics in Krakow (2008) and postgraduate studies in Business Analytics at Warsaw University of Technology (2015). Dr. Chlasta's research spans artificial intelligence, particularly neural networks and machine learning, human-computer interaction, and information management. His recent publications demonstrate expertise in AI applications for mental health screening through eye-tracking and speech analysis, sentiment analysis of social media data for migration studies, and innovative virtual reality interaction techniques. He has published consistently from 2020-2024 across multiple high-impact venues, with his work appearing in journals like Frontiers in Psychology, European Psychiatry, and Telematics and Informatics Reports, as well as conferences including ACM DIS and IEEE VR. His scientific contributions form several interconnected research threads: AI-based diagnostic systems for depression, anxiety, and dementia through biometric analysis Computational neuroscience tools including the Neural Simulation Pipeline deployable in cloud environments Sentiment analysis of social media data to understand migrant experiences during the pandemic Novel interaction techniques like VXSlate for virtual reality environments Dr. Chlasta has received notable recognition including the Scholarship of the Minister of National Education and Sport (2006) and the "Outstanding Leader" award from Aviva's global CIO (2017). His interdisciplinary approach bridges technical AI expertise with practical applications in healthcare, migration studies, and human-computer interaction. With over fifteen years of industry experience at major organizations including HP, IBM, and Aviva, Dr. Chlasta brings substantial real-world perspective to his academic work. Since 2022, he has served as Head of Technicus Poland, where he established and manages the Polish branch while developing the company's global IT and cybersecurity functions. He is also a certified specialist across multiple enterprise technologies and a member of several professional organizations including ACM and IEEE. His research approach integrates academic rigor with practical problem-solving, focusing on developing tools that address real-world challenges in mental health screening, migration support, and virtual interaction environments.

Thorsten Riemke-Gurzkiمشاهده پروفایل

استاد

• Web Technology
• Web Development
• User Experience
• +۶ مورد دیگر

Thorsten Riemke-Gurzki is a fulltime Professor for Web Technology, Corporate Portals & Usability at Stuttgart Media University in Stuttgart, Germany, where he has been working since 2008. Prior to his academic career, he worked as a freelance and employed consultant for various companies including SAP Germany. He describes himself as having 'grown up with hardware, CP/M, mailbox systems' and being 'web addicted since 1991,' positioning himself as both a frontend and backend developer and a 'web technology evangelist.' Professor Riemke-Gurzki's research interests span a comprehensive range of web technologies: Frontend and backend web development HTML, CSS, JavaScript and modern frameworks (React, React Native, Vue.js) Server-side technologies including Node.js, Go, Docker, and database systems Microservices architectures and single page applications Web 3D/AR, AI applications for the web, and Internet of Things User experience, usability, and content management systems His recent publications demonstrate a strong focus on practical web development techniques, covering topics from CSS fundamentals to advanced server implementation in Go and exploration of emerging technologies like JavaScript-based microcontrollers. His work bridges academic research with practical industry applications through his website riemke.dev where he shares technical articles and hosts a podcast on web development topics. Professor Riemke-Gurzki maintains an active presence in both academic and developer communities, with educational materials on GitHub and engagement with industry technologies like the Daimler UXLab truck. His approach emphasizes hands-on learning and practical application of web technologies.

Chao Zhangمشاهده پروفایل

دانشیار

• Software Security
• System Security
• Data Security
• +۶ مورد دیگر

Chao Zhang is a Tenured Associate Professor at Tsinghua University, specializing in software security, system security, data security, and AI security. He leads the VUL337 research group and serves as the coach of the Blue-Lotus CTF team. His educational background includes a Ph.D. in Computer Science from Peking University (2008-2013), a B.S. in Mathematical Science from Peking University (2004-2008), and a postdoctoral position at UC Berkeley (2013-2016). Dr. Zhang's research focuses on Software Security , System Security , Data and AI Security , Program Analysis , and Vulnerability Discovery . His work spans binary code analysis, fuzzing techniques, blockchain security, and AI security. His recent publications demonstrate a strong emphasis on developing novel frameworks for vulnerability detection, binary code analysis, and securing AI systems against adversarial attacks. His publication trends show a consistent focus on practical security solutions with increasing attention to AI security challenges. Over the past decade, he has published extensively in top security conferences including IEEE S&P, USENIX Security, CCS, NDSS, and ISSTA, with a significant acceleration in publications since 2020. Tencent CSS TSec Professional Prize (2nd place, 2019) Tencent CSS TSec Breakthrough Prize (1st place, 2018) DARPA Cyber Grand Challenge CFE, 2nd in exploiting (2016) DARPA Cyber Grand Challenge CQE, 1st in defense (2015) Microsoft BlueHat Prize Contest's Special Recognition Award (2012) 5th place in Defcon CTF 2017 2nd place in Defcon CTF 2016 5th place in Defcon CTF 2015 Dr. Zhang leads the VUL337 research group at Tsinghua University, which focuses on vulnerability discovery and security analysis. He also serves as the coach of the Blue-Lotus CTF team and is a member of the V group of LiST. His research has received significant attention in the security community, with numerous publications in top-tier security venues and practical contributions to vulnerability discovery and mitigation techniques.

Wei Chenمشاهده پروفایل

استاد

• Software Engineering
• Intelligent Software Engineering
• Network Distributed Computing
• +۶ مورد دیگر

Wei Chen is a Research Fellow at the Institute of Software, Chinese Academy of Sciences, where he serves as a PhD and Master's supervisor. He leads the Software Engineering Technology R&D Center and maintains affiliations with the University of Chinese Academy of Sciences and its Nanjing College. Dr. Chen has established himself as a leading figure in intelligent software engineering research within China's academic community. His primary research focuses on four interconnected areas: intelligent code maintenance and quality assurance (particularly Python ecosystem compatibility based on domain knowledge), reliability assurance of complex IoT systems in human-machine-object convergence scenarios, cloud-native system development with emphasis on Function-as-a-Service optimization, and quality assurance of deep learning frameworks in resource-constrained environments. Dr. Chen's work consistently bridges theoretical advances with practical applications, maintaining strong industry collaborations with major Chinese technology companies. Analysis of Dr. Chen's recent publications reveals a strategic integration of AI techniques with traditional software engineering challenges. His research shows increasing emphasis on leveraging large language models for IoT component synthesis, sophisticated dependency management solutions for Python ecosystems, and innovative approaches to testing autonomous systems. The work demonstrates both theoretical depth and practical utility, with many publications leading to implemented tools and systems. Second Prize of Science and Technology Progress Award of China Institute of Electronics (2022) First Prize of Science and Technology Progress Award of China Institute of Electronics (2021) ACM SIGSOFT Distinguished Paper Award (2023) Special Prize of the 4th China Software Open Source Innovation Competition (2021) First Prize in the 4th China Software Open Source Innovation Competition (2021) OW2 Programming Contest First Prize (2016) Dr. Chen has mentored over ten graduate students who have achieved notable success in academic competitions and industry placements. His laboratory (TCSE, http://tcse.cn/) currently manages multiple significant research projects including 'Complex IoT System Reliability Assurance Key Technology Research' (2025-2028), 'Intelligent Development, Testing, and Maintenance of Cloud-native Software Ecosystems' (2024-2027), and 'Traffic Infrastructure Digital Industrial Software Architecture and Core Technology Standard System' (2021-2024). The lab maintains active collaborations with Huawei, Alibaba, Tencent, and other leading technology enterprises.