جستجوی استاد راهنمای دانشگاهی

Sazzadur Rahamanمشاهده پروفایل

استادیار

• System and software security
• program analysis
• applied cryptography
• +۱ مورد دیگر

Sazzadur Rahaman serves as an Assistant Professor in the Department of Computer Science at the University of Arizona, maintaining his office in GS 734. His scholarly focus spans system and software security, program analysis, applied cryptography, and internet measurement, positioning him at the forefront of cybersecurity research. His research program investigates critical vulnerabilities in modern software ecosystems, with particular emphasis on protestware dynamics, unsanctioned technology adoption in educational settings, and adversarial attacks against machine learning systems. Methodologically, he integrates program analysis with cryptographic techniques to develop practical security solutions, evidenced by frameworks like BLADE for code debloating and SpanL for API misuse detection. His work consistently bridges theoretical security principles with real-world deployment challenges. Analysis of his 15 most recent publications (2023-2025) reveals three dominant research trajectories: (1) software supply chain security (protestware characteristics, container debloating), (2) education technology risks (unsanctioned tool usage, LLM-assisted cheating countermeasures), and (3) foundational security mechanisms (binary code analysis, cryptographic API validation). These publications demonstrate increasing interdisciplinary collaboration, particularly between cybersecurity and educational technology domains. No scientific awards were documented in the provided materials. While student advising activities and research grants aren't specified in the source text, his publication record suggests active mentorship through co-authored works and potential grant-funded projects in software security tool development. The available documentation does not reference specific research laboratories or collaborative teams associated with his current position.

• Engineering Education
• Transition from Secondary to Higher Education
• Learning Analytics
• +۴ مورد دیگر

Tinne De Laet is a Professor at the Faculty of Engineering Sciences, KU Leuven. She leads student guidance initiatives and contributes to educational policy through roles in disciplinary bodies and committees. Her research intersects engineering education, learning analytics, and artificial intelligence in pedagogy. Professor, Faculty of Engineering Sciences, KU Leuven Head of Student Guidance Engineering Sciences Member, KU Leuven Institute for Digital Society (DigiSoc) Member, KU Leuven Institute for Artificial Intelligence (Leuven.AI) Member, KU Leuven Institute for Educational Research (LIVO) Her research focuses on improving academic transitions, leveraging learning analytics for student support, and integrating AI into educational frameworks. Recent projects include: Co-promotor for causal pathology modeling in cerebral palsy (2025-2028) Promotor for concept mastery in differential equations (2025-2029) Promotor for LLM applications in education (2025-2029) Promotor for AI explainability in learning analytics (2024-2028) Co-promotor for AI explainability in learning analytics (2024-2028) Her publications highlight innovations in learning dashboards, ethical AI adoption, metacognitive scaffolding, and lifelong learning competencies. She actively shapes educational policy through curriculum committees and large-scale assessment frameworks.

Hüseyin Emre Becerمشاهده پروفایل

استاد

• Fine Arts Core Field
• Design
• Graphic Design

Prof. Dr. Hüseyin Emre Becer is a Professor at the Faculty of Fine Arts , Graphic Design Department , Yeditepe University since 2018. He previously held academic positions at Marmara University (1989–2005), İhsan Doğramacı Bilkent University (1986–1989), and Dokuz Eylül University (1983–1986). Education: Doctorate from Marmara University (1982–1986), Master’s in Graphic Arts (1982–1986), and Undergraduate in Graphic Arts (1976–1980). His research focuses on Fine Arts Core Field , Design , and Graphic Design , with emphasis on typography, visual hierarchy, and historical design principles. His work explores the application of mathematical concepts like the Golden Ratio in graphic design, modernist typography , and interdisciplinary art practices such as collage. Prof. Becer’s recent publications analyze trends in typography , graphic design education , and visual communication , bridging traditional and digital design methodologies. He has contributed to academic discourse on packaging design , advertising strategies , and design pedagogy . Scientific Awards: Birincilik Ödülü (First Prize) - Philatelic Music Circle, İNGİLTERE İkincilik Ödülü (Second Prize) - TÜRKİYE Şeref Mansiyonu (Honorable Mention) - Aydın Doğan Vakfı, TÜRKİYE Özel Ödül (Special Award) - Çankaya Belediyesi, TÜRKİYE He has guided over 20 Master’s and PhD theses, including studies on corporate identity design , digital typography , and political poster analysis . Currently, he teaches courses in Typography , Packaging Design , and Graphic Design Theory , while organizing workshops on visual communication and design education .

Stephen A. Edwardsمشاهده پروفایل

دانشیار

• Embedded Systems
• Real-Time Systems
• Hardware Synthesis
• +۵ مورد دیگر

Stephen A. Edwards is an Associate Professor at the Computer Science Department of Columbia University , where he explores automating software for embedded systems and real-time control . His work focuses on compiler techniques for languages like Esterel and domain-specific solutions for device drivers and communication protocols . Education : PhD in Electrical Engineering, University of California, Berkeley (1997) MS in Electrical Engineering, UC Berkeley (1994) BS in Electrical Engineering, California Institute of Technology (1992) Research Interests span hardware synthesis , functional programming , and synchronous languages . He develops domain-specific languages to bridge software and hardware, emphasizing determinism and timing precision in embedded systems. His group's work includes projects like the FHW compiler and the Sparse Synchronous Model . Article Trends show a focus on FPGA-based systems , garbage collection for accelerators, and parallel functional programming . These reflect his broader interests in hardware-software co-design and compiler optimization for real-time applications. Students : John Hui (2021-2024, Apple) Max Levatich (2020-) Richard Townsend (2013-2019, Tufts) Nalini Vasudevan (2007-2011, Google) Marcio Buss (2004-2008) Jia Zeng (2002-2008) Cristian Soviani (2002-2007, Synopsys) Consulting & Expert Services : He provides litigation support and expert witness services in patent cases involving software architecture and computer design , including ITC cases. Labs & Projects : Leads research on sparse synchronous systems and hardware synthesis , with initiatives like the GAPS CLOSURE Project and FHW Compiler for translating Haskell to System Verilog.

Silvia Nuere Menendez-Pidalمشاهده پروفایل

استاد

• Art-Science Integration
• Engineering Education
• Visual Literacy
• +۷ مورد دیگر

Silvia Nuere Menendez-Pidal is a Professor at the Department of Mechanical, Chemical and Industrial Design within the Technical School of Engineering in Industrial Design at Universidad Politécnica de Madrid . Her academic work bridges art, design, and engineering through humanistic approaches to education. Research interests include: Project-based learning methodologies Art-science integration in curricula Visual literacy frameworks Smart campus evaluation systems Digital divide in academic communities She has directed over 30 educational innovation projects and founded the ArDIn: Art, Design and Engineering journal in 2011. Her publications analyze 3D printing applications in medical education, digital pedagogies, and student-led academic associations like Etsidi-Design that mobilize interdisciplinary collaboration.

• Digital Health
• Gerontechnology
• Elder Mistreatment
• +۱۳ مورد دیگر

Fuad Abujarad is an Associate Professor of Emergency Medicine and Biostatistics at the Yale School of Public Health . His interdisciplinary research bridges Digital Health , Gerontechnology , and Health Informatics to address critical gaps in elder mistreatment detection and informed consent processes. PhD in Computer Science from Michigan State University (2010) MSc in Computer Science from Michigan State University (2005) His work focuses on developing Virtual cOaching in making Informed Choices on Elder Mistreatment Self-Disclosure (VOICES) – an NIH/NIA-funded digital screening tool for elder abuse – and Virtual Multimedia Interactive Informed Consent (VIC) , an AHRQ-funded mHealth solution to enhance patient comprehension. Additional projects span Personal Care Aides (PCA) workforce strengthening and Health Information Technology systems for abuse prevention. Recent publications highlight applications of his tools in dementia care , emergency departments , and primary care settings . Key trends include digital risk assessment , multimodal patient education , and fault-tolerant software design for healthcare systems. Merit of Achievements (2006) from Yale University Fulbright Fellowship (2004) Dr. Abujarad leads grants from NIA , AHRQ , CMS , RWJF , and National Institutes of Health . His lab collaborates with Michigan State University and Yale Cancer Center , emphasizing patient-centered design and real-time background check systems for long-term care worker vetting.

Martin Voracekمشاهده پروفایل

استاد

• Meta-analysis and systematic reviews
• Research synthesis methodology
• Individual differences research
• +۵ مورد دیگر

Martin Voracek is a Professor of Psychological Research Methods at the University of Vienna, Faculty of Psychology, where he serves as Deputy Head of the Department of Cognition, Emotion, and Methods in Psychology. He is also Head of School and Speaker for the Vienna Doctoral School CoBeNe, Director of Doctoral Studies for Psychology, Cognition, Behaviour and Neuroscience, and Chair of the University of Vienna Ethics Committee. Professor Voracek specializes in meta-analysis and systematic reviews, focusing on methodology for research synthesis and integration, including publication bias and evidence distortion in empirical research. His work also encompasses individual differences research, particularly biological bases of personality and behavior, and suicide research. His extensive publication record spans topics including psychological methods, mindfulness studies, digit ratio research (2D:4D), and cross-cultural psychological measurement. Voracek's research output demonstrates a clear trend toward large-scale, multinational collaborative studies, particularly in developing measurement-invariant psychological instruments across diverse populations. His recent work has focused on validating scales across 65 nations and 40+ languages, examining constructs like life satisfaction, self-compassion, body appreciation, and nature connectedness. His methodological expertise is evident in numerous meta-analyses and systematic reviews across diverse psychological domains. Among his notable scientific contributions are leadership roles in the Network of Open Science Initiatives at Psychology Departments (NOSI) and serving as Editor-in-Chief of the Journal of Individual Differences. His work has significantly advanced methodological approaches to psychological research, particularly in meta-analysis and research synthesis. Professor Voracek supervises numerous theses and leads doctoral education through the Vienna Doctoral School CoBeNe. His teaching portfolio includes courses on research approaches in cognitive psychology, master's thesis seminars, and specialized research seminars focusing on metascience, meta-analysis, scientific discourse analysis, and language neuroscience.

Andreas Riedlمشاهده پروفایل

استادیار

• Cartography
• Geoinformation Systems (GIS)
• Geovisualization
• +۴ مورد دیگر

Andreas Riedl is an Assistant Professor at the Department of Geography and Regional Research, University of Vienna, where he serves as Head of the Hyperglobe Research Group and Vice-Director of Studies for Geography. His work bridges cartographic heritage with cutting-edge geospatial technology, focusing on spherical display systems for global data visualization. His educational background includes a Doctorate in Geography/Cartography from the University of Vienna (1987-1992) and an Industrial Engineering degree from HTL-Hollabrunn (1979-1985). Career milestones include research at Simon Fraser University (1995-1996) and software development at ITC Enschede (1996). Riedl's research centers on Hyperglobes —interactive 1.2-meter spherical displays that visualize weather patterns, continental drift, and climate change through dual 4K projection. His group operates these systems for public education, serving schools and museums with free demonstrations of geophysical phenomena, flora/fauna distributions, and extraterrestrial topics. Complementing this, he advances GIS applications in urban planning, 3D visualization, and multimedia geocommunication. Analysis of his 15 most recent publications reveals dual research trajectories: (1) Environmental hydrology studies quantifying dew/fog water inputs in grasslands using isotope tracing and micro-lysimeters, and (2) Media studies examining migration coverage, journalistic roles, and gender representation in news. Both strands emphasize data visualization's role in public understanding of complex systems. As an educator, Riedl supervises Master's theses on GIS implementation, 3D city modeling, and geovisualization. His students explore topics including e-charging infrastructure planning, infographic-style maps, and AR navigation systems, reflecting his commitment to applied spatial analysis. The Hyperglobe Research Group provides critical infrastructure for these projects through its spherical display technology and public engagement initiatives.

• Cyber Situational Awareness
• Simulator Training
• Live Virtual Constructive
• +۳ مورد دیگر

Henrik Artman is a Professor at KTH Royal Institute of Technology, affiliated with the Media Technology and Interaction Design (MTM) school. His research focuses on Cyber Situational Awareness , Simulator Training , Live Virtual Constructive (LVC) systems, and intersections with Sustainability and Energy Supply . He serves as Deputy Head of School and teaches courses such as Advanced Individual Course in Human-Computer Interaction and Computer Game Design . Research Interests include: Human-Computer Interaction Cybersecurity and situational awareness LVC military training systems Sustainability in digital design Energy infrastructure resilience Key Contributions involve analyzing LVC training value for air combat, cyber threat response frameworks, and simulator mission design. His work bridges military training, cybersecurity, and interaction design, with a focus on real-world applications.

Davide Di Ruscioمشاهده پروفایل

استاد

• Model Driven Engineering
• Model evolution
• Open Source Software
• +۷ مورد دیگر

Davide Di Ruscio is a Full Professor at the Department of Information Engineering Computer Science and Mathematics of the University of L'Aquila (Italy), where he leads research in Model-Driven Engineering and Software Engineering. His work spans domain-specific modeling languages, model transformations, and recommender systems applied to open source software and autonomous systems. His research interests focus on Model Driven Engineering , Model evolution , Open Source Software , and Recommender Systems , with recent work exploring LLM applications in code analysis and fairness engineering. Key application domains include service-based systems, autonomous systems, and hybrid polystore systems. Di Ruscio actively contributes to the software engineering community through leadership roles in major conferences and journals. He serves on the steering committees of ICMT, SLE, SATTOSE, MiSE, and RoSE, and is on the editorial boards of SoSyM, IEEE Software, Journal of Object Technology, and IET Software. His work has been published in over 200 papers across top-tier venues. He has contributed to numerous European and Italian research projects since 2006, applying MDE concepts to real-world systems. Current teaching includes Software Engineering for Autonomous Systems and Software Engineering for the Internet of Things, with office hours on Tuesdays and Wednesdays from 11:30-13:30 at Edificio Alan Turing, Room 208.

Patricia Lagoمشاهده پروفایل

استاد

• Software Engineering
• Software Architecture
• Software Sustainability
• +۴ مورد دیگر

Patricia Lago is a Professor at the Vrije Universiteit Amsterdam, where she leads the Software and Sustainability (S2) research group in the Computer Science Department. She serves as a member of the IEEE ICSA and ECSA Steering Committees, and is the Steering Committee Chair of the ICT4S conference series. Dr. Lago is also the initiator of the Computer Science Master Track in Software Engineering and Green IT, and the director of the Master Information Sciences program. Dr. Lago earned her PhD in Control and Computer Engineering from Politecnico di Torino and a Master in Computer Science from the University of Pisa, both in Italy. Her research focuses on creating software engineering knowledge that makes software better, smarter, and more sustainable. She emphasizes industrial relevance and practical application, focusing on the 'real' needs of practice through collaboration with partners from both private and public sectors. Her specific research areas include software architecture, sustainability, software design and modeling, and software quality assessment. Dr. Lago's recent publications demonstrate a strong trend toward sustainable software engineering, with particular emphasis on energy efficiency, green architectural patterns, and sustainability assessment frameworks. Her work bridges theoretical research with practical applications, especially in areas like robotics, machine learning systems, and cloud computing, where sustainability considerations are increasingly critical. Dr. Lago co-founded the Green Lab, a collaborative space where researchers, students, and companies work together to measure the energy footprint of software solutions. She has been actively involved in numerous conferences and workshops related to software sustainability, serving in leadership roles including as NIER Co-Chair at ICSE 2021.

• Human-Computer Interaction
• Educational Technology
• Computer Science Education
• +۳ مورد دیگر

Francisco Javier Oliver Bernal is a Lecturer at the University of Deusto in Bilbao, Spain, within the Faculty of Education and Sport and the Department of Physical Activity and Sports Sciences. He teaches across Computer Engineering, Physical Activity and Sports Sciences, and Primary Education bachelor's programs, as well as the Master's in Secondary Education. He earned his Doctor of Medicine and Surgery from the University of the Basque Country. His research spans Human-Computer Interaction, Educational Technology, and Science Education, with a strong emphasis on accessibility for visually impaired users. He has developed tools for e-learning, digital resource centers, and innovative teaching methodologies in computer science and natural sciences, aiming to enhance educational experiences through technology. His scholarly output, spanning from the 1990s to 2023, demonstrates a consistent focus on technology-enhanced learning, evolving from early work in 3D interfaces and computer graphics to recent applications in health, music, and interdisciplinary educational contexts. Key trends include the integration of accessibility features, the development of domain-specific educational tools (e.g., for biology and astronomy), and responses to contemporary challenges like the COVID-19 pandemic. He has supervised multiple theses on digital accessibility and cooperative systems, though student names were not listed. Details on research grants were not provided in the available text. As a member of the eVida research group (officially recognized by the Basque Government), he contributes to projects advancing accessible educational technologies, including the ACCE project for audiovisual accessibility and READIS digital resource centers for visually impaired users.

Reid Holmesمشاهده پروفایل

استاد

• Software Engineering
• Software Testing
• Code Search
• +۷ مورد دیگر

Reid Holmes is a Professor in the Software Practices Lab at the University of British Columbia's Department of Computer Science, Faculty of Science. With over 15 years of academic experience, he has progressed from Assistant Professor at the University of Waterloo (2010-2015) to Associate Professor (2015-2022) and now full Professor (2022-present) at UBC. His research spans multiple dimensions of software engineering with a strong emphasis on the human aspects of development. Dr. Holmes' research interests focus on understanding the problems software engineers encounter when creating and evolving software systems. His work examines software testing and validation, source code reuse, code search, context-sensitive example location, API understanding, speculative analysis, code review, and team awareness. He believes that by better understanding how people create, explore, evolve, and reason about software systems, we can enhance developers' effectiveness and improve software quality. His research is characterized by its practical application to real-world software development challenges. His recent publications demonstrate a consistent focus on improving developer productivity through better tools and understanding of developer behavior. The publications reveal a trajectory from traditional software engineering topics toward newer areas involving AI-assisted development, with particular attention to how generative AI affects workflow and collaboration. His work consistently bridges theoretical software engineering concepts with practical developer experience considerations. ACM SIGSOFT Distinguished Paper Award (multiple times) FSE 2024 Most Impactful Paper Award 2024 ICSE Most Influential Paper Award Winner of the 2008 MSR Mining Challenge As an educator and mentor, Dr. Holmes has supervised numerous graduate students who have gone on to successful careers in academia and industry. He has served on program committees for major software engineering conferences including ICSE, FSE, and MSR, and has been an Associate Editor for TSE since 2016. His work on developer tools like CodeShovel, Devy, and Baker demonstrates his commitment to creating practical solutions that address real developer pain points.

Avinash Singhمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Cognitive Neuroscience
• Brain-Computer Interfaces
• +۶ مورد دیگر

Dr. Avinash Singh is a Senior Lecturer at the School of Computer Science at the University of Technology Sydney (UTS), Australia. He serves as co-chair of the IEEE Neuroethics Framework for the Workplace, sponsored by IEEE Brain, and is a member of the IEEE Standards Committee on Unifying Brain-Computer Interfaces (BCI). He also serves as an expert advisor for UNICEF and The Centre of Neurotechnology and Law, UK. Dr. Singh completed his PhD in Computer Science in 2019 at UTS, collaborating with the Technical University of Berlin, Germany, the University of California San Diego, USA, and the US Army Research Lab. Prior to his doctorate, he earned a Master's in Software Systems from Birla Institute of Technology and Science Pilani, India, and earlier degrees in Computer Science and Mathematics from Indian institutions. Working at the intersection of machine learning, cognitive neuroscience, and mixed-reality, Dr. Singh focuses on designing and developing real-world neuroadaptive BCI systems. His research integrates AI technologies with cognitive neuroscience to explore cognitive functions, discover relationships between brain dynamics, evaluate everyday interactions, and develop robust next-generation neuroadaptive BCIs. His work spans areas including neuroadaptive BCI applications for improving interpersonal communication, sensory augmentation for blind individuals, and dream reconstruction from brain signals. Analysis of Dr. Singh's recent publications reveals a consistent focus on developing novel EEG signal processing techniques, creating neuroadaptive interfaces, and applying BCI technology to real-world problems. His work shows increasing integration of deep learning with neuroscience, particularly in the context of cognitive conflict detection, spatial navigation, and assistive technologies for the visually impaired. The research demonstrates strong interdisciplinary connections across computer science, neuroscience, and human-computer interaction. Google TensorFlow Faculty Award (2021) Dr. Singh actively supervises PhD students and has received multiple research grants, including ARC Linkage Projects and NHMRC Ideas Grants. His funded research spans neuro-AI for personalized image generation, sensory augmentation for blind individuals, and ethical frameworks for BCI technology. He leads the UTSxDream Recording project (formerly DreamMachine) and collaborates with international institutions on BCI standardization efforts. Dr. Singh founded the India Future Society, a think tank focused on transhumanism, and actively advocates for the ethical development of neurotechnology. His work bridges academic research with practical applications in assistive technology, human-robot collaboration, and spatial navigation systems.

Sanka Rasnayakaمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۶ مورد دیگر

Sanka Rasnayaka is a Lecturer at the School of Computing, National University of Singapore , where he has worked since 2022. He previously served as a full-time Teaching Assistant and PhD candidate at the same institution. PhD in Computer Science (2021), National University of Singapore B.Sc. Engineering (Honours) in Computer Science and Engineering (2016), University of Moratuwa, Sri Lanka Research interests focus on Artificial Intelligence and Computer Vision , specifically in biometrics, privacy, and human perception. Current projects explore: Biometrics & Continuous Authentication (gait, keystroke dynamics) Large Language Models for Software Engineering Physics-Informed Generative AI for flood modeling Recent publications demonstrate expertise in: Biometric authentication systems Privacy-preserving AI Transformer architectures for behavioral analysis Generative AI in environmental modeling Teaching includes foundational courses like CS1101S Programming Methodology (co-teaching since 2022) and CS2040 Data Structures and Algorithms (AY2410). He also developed workshops on Generative AI, LLMs, and Computer Vision. Projects supervised: CRISP Platform for classroom management Live Annotation Tool for educators AI Pal for customized LLM assistants Scientific awards include multiple Teaching Excellence Awards (2024-2025) and scholarships from NUS (2017-2021).