جستجوی استاد راهنمای دانشگاهی

Ali Kashaniمشاهده پروفایل

مدرس ارشد

• Sustainable and low-carbon concrete
• Cementitious materials
• Robot-aided construction
• +۸ مورد دیگر

Dr. Ali Kashani is a Senior Lecturer at the University of New South Wales (UNSW) within the School of Civil and Environmental Engineering. His research focuses on sustainable and low-carbon concrete materials, robot-aided construction (particularly 3D printing), and Circular Economy-aligned applications. Leadership in cementitious materials innovation Expertise in 3D printing for construction Advocate for waste valorisation and carbon capture Dr. Kashani has secured approximately $7 million in research funding and holds a patent in lightweight concrete foam. His work spans 70+ publications with 9,000+ citations, including media coverage in the Sydney Morning Herald and The Fifth Estate. He actively contributes to professional organizations such as MECLA, RILEM, and ASTM. Recent research trends include AI and optimization algorithms for sustainable concrete mix design, chloride diffusion modeling, and 3D printing performance analysis. His publications often address waste material integration, durability assessment, and eco-friendly construction practices. Scientific Awards: National and NSW Awards for 'Excellence in Concrete' (Technology and Innovation) from the Concrete Institute of Australia Churchill Fellowship for Digital Construction and 3D Printing sponsored by AVJennings Dr. Kashani serves as Co-Chair of the cement and concrete working group at MECLA and contributes to RILEM and ASTM committees. His email is ali.kashani@unsw.edu.au , and his office is located in the Civil Engineering Building (H20), Level 2, Room CE204, UNSW.

• Condensed Matter Physics
• Materials Science
• Nanotechnology
• +۶ مورد دیگر

Peter A. Dowben is a Professor in the Department of Physics and Astronomy at the University of Nebraska–Lincoln , with a research focus spanning Condensed Matter Physics , Materials Science , and Spintronics . His work emphasizes surface physics , electronic structure , and magnetoelectric coupling , particularly in transition metal compounds , ferroelectric polymers , and graphene-based systems . Key research trends in his recent publications include voltage-controlled spin states for memory applications, magnetoelectric transistors , and interfacial effects in nanoscale materials . His collaborations extend across institutions like the Air Force Institute of Technology and the Institute of Physical Optics, with experimental techniques such as X-ray absorption spectroscopy and photoemission . While no specific awards are documented in the provided texts, his extensive publication record and interdisciplinary work on molecular spintronics , surface segregation , and band structure engineering highlight his contributions to fundamental material science and applied physics . He has advised teams in studies involving spin crossover complexes , self-assembled monolayers , and magnetoelectric heterostructures .

Brett J. Borghettiمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۱۲ مورد دیگر

Dr. Brett J. Borghetti is a Professor of Computer Science in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), Graduate School of Engineering and Management, Wright-Patterson AFB, OH. He was promoted to Professor in July 2022, following prior appointments as Associate Professor (2017) and Assistant Professor (2008/2013). His expertise lies in artificial intelligence, machine learning, deep learning, cybersecurity, and human-machine teaming. Education: Ph.D. in Computer Science, University of Minnesota, Twin Cities (2008) M.S. in Computer Systems, Air Force Institute of Technology (1996) B.S. in Electrical Engineering, Worcester Polytechnic Institute (1992) Dr. Borghetti's research focuses on applying machine learning to physical science sensors (hyperspectral, seismic, RF), cybersecurity, and enhancing human-machine team performance. He teaches graduate courses in machine learning, AI, data security, and algorithm design, and advises numerous MS and PhD students in areas such as sensor exploitation, cognitive workload, and cyber situational awareness. His recent publications demonstrate strong trends in deep learning for multimodal sensor fusion, nuclear security, and neuroergonomics. Scientific Awards: AETC Educator of the Year (2021, Civilian) AFIT Ezra Kotcher Teaching Award (2021) AFIT Teaching Excellence Award (2019) AF STEM Outstanding Science and Educator Award (2015) Multiple Eta Kappa Nu Outstanding Instructor Awards Air Force Meritorious Service Medal and other military honors Dr. Borghetti has advised numerous graduate students and led research projects with significant funding and applications in defense and national security. He has directed research in AI-driven sensor analysis, cyber defense systems, and adaptive automation. His work often involves collaboration with national labs and DoD agencies. He has contributed to major research initiatives in human factors, cyber intruder detection, and machine learning for operational environments. Labs and Research Teams: His work is associated with AFIT's research in cyber security, sensor exploitation, and human-machine systems. He collaborates with teams working on the Cyber Intruder Alert Testbed (CIAT), neuroergonomic modeling, and machine learning for defense applications.

Yonghwi Kwonمشاهده پروفایل

استادیار مهمان

• Software Systems Security
• Cyber Forensics
• Software Engineering
• +۳ مورد دیگر

Yonghwi Kwon is a Visiting Assistant Professor in the Department of Computer Science at the University of Virginia. His research focuses on software systems security, cyber forensics, and software engineering. He received the CAREER Award for developing dynamic defenses against cyber threats. His work emphasizes securing software from cyber attacks, recovering forensic evidence, and improving software testing and reverse engineering techniques. Key research areas include memory safety mechanisms, automated vulnerability detection in web applications and mobile systems, and forensic analysis of phishing campaigns. He has pioneered frameworks like CMASan for memory allocator-aware sanitization and Racedb for detecting race conditions in database-backed systems. His contributions span cloud security automation, kernel exploitation analysis, and embedded system fuzzing. Notable achievements include the 2025 CAREER Award supporting his dynamic defense research, and impactful publications in areas like Android information leakage detection (DryJIN), Bluetooth protocol fuzzing (BTFuzzer), and autonomous driving bug discovery (Drivefuzz). His work bridges theoretical computer science with practical cybersecurity solutions.

Matthew A. Reidenbachمشاهده پروفایل

استاد

• Coastal Oceanography
• Marine Ecosystem Dynamics
• Hydrodynamics
• +۵ مورد دیگر

Matthew A. Reidenbach is a Professor and Department Chair of Environmental Sciences at the University of Virginia, with a courtesy appointment in Mechanical and Aerospace Engineering. His research focuses on coastal oceanography, particularly the interplay between hydrodynamics and marine ecosystems, including coral reefs, seagrass meadows, and oyster reefs. He investigates topics such as larval transport, wave dynamics, and nature-based coastal resilience strategies. His work emphasizes ecological engineering solutions for climate change adaptation, combining field observations with computational modeling. Reidenbach holds a Ph.D. (2004) and M.S. (1998) in Civil and Environmental Engineering from Stanford University, and a B.S. (1997) from Cornell University. He has received prestigious awards including the NSF Career Award and the University of Virginia’s All-University Teaching Award. His research group utilizes advanced techniques like LiDAR remote sensing, PIV flow visualization, and eddy covariance systems to study coastal processes. Key research themes include: 1) Biophysical interactions in marine ecosystems (e.g., mussel aggregations, sponge filtration); 2) Coastal protection via living breakwaters; 3) Ecosystem metabolism and nutrient cycling in tidal systems. He collaborates with engineers and ecologists to bridge theoretical and applied science, addressing real-world challenges like sea-level rise and habitat restoration. Notable grants: NSF CAREER award, collaborative NSF projects on biophysical feedbacks Labs: Coastal Ecosystem Dynamics Lab, affiliated with UVA’s Batten Institute for Climate Theory and Practice Public engagement: Advises on oyster reef restoration strategies for Chesapeake Bay and Gulf Coast communities

Eli Bartovمشاهده پروفایل

استاد

• Financial Reporting
• Executive Compensation
• Social Media in Capital Markets
• +۱۰ مورد دیگر

Eli Bartov is a Professor of Accounting at the Leonard N. Stern School of Business, New York University, where he has been a faculty member since 1992. He holds a Ph.D. in Accounting from the University of California, Berkeley, and a B.A. in Accounting and Economics from Tel Aviv University, along with a CPA designation. Ph.D., Accounting, University of California, Berkeley, 1989 B.A., Accounting and Economics, Tel Aviv University, 1977 CPA, 1979 His research focuses on financial reporting, executive compensation, forensic accounting, earnings management, equity valuation, and the role of social media in capital markets. He has published extensively in top-tier journals, exploring topics such as the predictive power of Twitter on earnings, post-earnings announcement drift, and the economic implications of executive stock options. His work bridges theoretical and empirical perspectives in accounting and finance. His recent publications show a strong trend in leveraging alternative data sources like social media to understand investor behavior and market efficiency, while maintaining a deep engagement with core accounting issues such as disclosure quality, fraud detection, and valuation. His interdisciplinary approach combines accounting, finance, and information systems. AAA/AICPA Notable Contributions to Accounting Literature Award (2022) Stern's Executive MBA Great Professor Award (2014–2019) Stern's Executive MBA Excellence in Teaching Award (2010) Professor Bartov has served as the coordinator of the Accounting Ph.D. Program (2001–2010) and teaches courses at the MBA, EMBA, and Ph.D. levels, including financial statement analysis and empirical research in financial accounting. He has advised doctoral students and contributed to academic leadership. He has also been an expert witness in high-profile legal cases, including the New York civil fraud trial against Donald Trump, where he testified on accounting standards and the absence of fraud. His research has practical implications for regulatory bodies (SEC, FASB, PCAOB) and corporate governance. He has collaborated with researchers across institutions and has contributed to both academic literature and public discourse on accounting integrity and market efficiency.

Timothy M. Jonesمشاهده پروفایل

استاد

• Computer Architecture
• Compilers
• Microarchitecture
• +۵ مورد دیگر

Timothy M. Jones is a Professor of Computer Architecture and Compilation at the University of Cambridge's Computer Laboratory, serving as Director of the Computer Architecture and Semiconductor Design Centre (CASCADE) and Fellow/Director of Studies at Gonville and Caius College. His research focuses on parallelism extraction in applications to enhance performance and address energy efficiency/reliability challenges in compilers, binary translators, and microarchitectures. Current work includes novel cache prefetching techniques, thread-level parallelism schemes, and advanced core prediction methods. He has an Erdős number of 4 and a Dijkstra number of 4 via collaborative networks. Research interests span computer architecture fundamentals, compiler optimizations, hardware security mechanisms, and fault tolerance strategies. Notable contributions include speculative vectorization, heterogeneous parallel error detection (MEEK/FireGuard), and security tools like MarkUs and MineSweeper. CASCADE oversees interdisciplinary projects addressing future microprocessor/system challenges. Jones supervises PhD students through CASCADE's 2025 intake program. Publications emphasize architectural innovations in memory systems, security, and energy efficiency. Key works include MASCOT (memory dependence prediction), Scalar Vector Runahead (2024), and Decoupled Vector Runahead (2023). His work integrates hardware-software co-design principles to tackle real-world processor bottlenecks.

• Source Water Protection Planning
• Watershed Planning
• First Nations Water Security
• +۶ مورد دیگر

Robert Patrick is a Professor in the Department of Geography and Planning at the College of Arts and Science, University of Saskatchewan. His work centres on land-use and watershed planning, with a particular emphasis on source-water protection and Indigenous water security, especially among First Nations communities across Alberta and Saskatchewan. Research Focus Source-water protection planning to reduce contamination risks to public drinking-water supplies. Collaborative watershed planning with First Nations communities. Climate-change adaptation strategies integrated into community-based water governance. Urban water issues and nature-based solutions to climate impacts. Regional planning that incorporates Indigenous planning methodologies. Scientific Awards & Honours Distinguished Teacher Award, College of Arts and Science, University of Saskatchewan (2023) Teaching Excellence Award, College of Arts and Science, University of Saskatchewan (2014) U of S Students' Union Teaching Award Nominations (2012, 2009) Graduate Student Supervision Since 2010, Professor Patrick has successfully supervised over 25 graduate students (MA, MSEM, MNGD, and PhD levels). Notable recent graduates include: Warrick Baijius, Ph.D. 2022 Alan Akobundu, MA 2021 Obadiah Awume, MA 2019 Juliane Schultz, MA 2019 Rosalena Smith, MNGD 2018 Carley Coccola, MSEM 2018 Veronica Mauel, MSEM 2018 John Desjarlais, MNGD 2018 Autumn Carlson, MNDG 2017 Michael Dawe, MSEM 2016 Bronwyn Cowan, MNDG 2016 Janet Daigneault, MNGD 2016 Kellie Grant, MA 2016 Azhar Al Ibrahim, MA 2015 Warrick Baijius, MA 2015 Francis Goulet, MNGD 2015 Kelly Richardson, M.SEM 2015 Kyle Young, M. SEM 2014 Kurtis Trefry, M.SEM 2013 Hanyang Wang, MA 2013 Firas Younes, M. SEM 2012 Nadine Lemoine, MA 2012 Jostein Misfeld, M.SEM 2012 Franny Rawlyk, MA 2012 Dee Johns, MNGD 2012 Brittany Morgan, M.SEM 2011 Jesse Skwaruk, MA 2011 Emily Heffring, M.SEM 2010 Teaching & Courses GEOG 240 (2023) PLAN 442 (2023) Regular offerings in Planning, Regional Planning, Sustainable Cities and Regions, and Watershed Planning.

Eunjung Leeمشاهده پروفایل

استاد

• Cross-cultural psychotherapy
• Clinical social work practice
• Community mental health
• +۵ مورد دیگر

Eunjung Lee is a Professor and the Factor-Inwentash Chair in Mental Health & Health at the Factor-Inwentash Faculty of Social Work, University of Toronto, where she also serves as the Associate Dean, Academic. She holds a Ph.D. from Smith College. Her research focuses on cross-cultural psychotherapy, clinical practice in community mental health, and simulation-based learning in social work education. She critically examines policy discourses affecting immigrants and refugees under neoliberalism, challenging traditional notions of multiculturalism. Lee teaches clinical courses in the MSW program and social work theory at the doctoral level, emphasizing culturally responsive practice and social justice. Research & Grants Explores anti-Asian racism, youth cannabis use, and technology’s role in mental health for marginalized groups. Recipient of grants including the Simulation-Based Learning in Social Work Education and Global Research Network for Student Mental Health . Teaching & Leadership Chairs the MSW clinical curriculum and mentors students in critical practice. Advances equity through academic leadership and policy advocacy. Labs & Initiatives Leads the Inlight Initiative for student mental health. Pioneers digital simulation tools for culturally competent practice.

• Earthquake Engineering
• Structural Dynamics
• Pipeline Seismic Response
• +۳ مورد دیگر

Prof. Muhittin Eren Uçkan is a Professor in the Department of Civil Engineering at Rafet Kayış Faculty of Engineering. His work focuses on earthquake engineering, structural dynamics, and seismic performance of infrastructure systems. Education: MS in Civil Engineering (1987) from Middle East Technical University, PhD in Earthquake Engineering (1994) from Boğaziçi University Key Research Areas: Seismic response of pipelines, soil-structure interaction, base isolation systems, and infrastructure resilience His recent publications analyze post-earthquake performance of transmission pipelines (2024 Kahramanmaras), liquid storage tanks (2023), and buried steel pipes (2016–2019). Studies emphasize fault crossing effects , sloshing damping , and seismic risk frameworks . Administrative roles include Vice Dean at Gebze Institute of High Technology (1998), Head of Department (1995–1998), and Commission Presidency at Alanya Aladdin Keykubat University (2020).

• Educational Leadership
• Policy Development
• Educational Policy Analysis
• +۶ مورد دیگر

Dr. Andrea K. Rorrer is a full-time Professor at the University of Utah's College of Education, Department of Educational Leadership and Policy, and serves as Director of the Utah Education Policy Center (UEPC). With 35 years of education experience, she has held roles as a teacher, principal, policy analyst, and researcher. Her academic career at the University of Utah includes promotions from Assistant Professor (2002-2009) to Associate Professor (2009-2014) and Professor since 2014, alongside serving as Associate Dean for Research from 2014-2023. PhD in Educational Leadership & Policy, University of Texas at Austin (2001) MS in Educational Leadership & Policy, University of Virginia (1995) Dr. Rorrer's research focuses on the intersection of educational leadership, policy implementation, and systemic change with equity as a central theme across early childhood, K-12, and higher education. Her work examines leadership preparation programs, charter school effectiveness, policy mediation, and institutional factors affecting educational outcomes. Recent publications highlight: Leadership preparation program features influencing career intentions (2025) Personalized learning software's impact on teacher-student dynamics (2024) Turnaround reform frameworks (2018) Charter school mobility patterns (2019) Homeschool policy analysis (2012) Scientific recognition includes: UCEA Master Professor Award (2020) College of Education Research Award AERA Dissertation Award (2001) Culbertson Award for early-career contributions Mentorship has been central to her career, with 35 doctoral chairs and 44 committee memberships since 2002. Current teaching activities include Thesis Research and Ed.D. Capstone Project courses.

• computer security
• formal methods
• program logics
• +۳ مورد دیگر

Mads Dam is a Professor in Teleinformatics at the School of Computer Science and Communication at Kungliga Tekniska Högskolan (KTH), where he heads the Department of Theoretical Computer Science. His research focuses on computer security, formal methods, and program logics, with particular emphasis on the formal modeling and verification of low-level hardware and software execution platforms for security and application isolation. His educational background includes: PhD in Computer Science from the University of Edinburgh (1990) MSc in Computer Engineering from Aalborg University, Denmark BSc in Information Technology from Aalborg University, Denmark Mads Dam's research interests center on computer security, formal methods, and program logics. His current work focuses on the formal modeling and verification of low-level hardware and software execution platforms such as hypervisors and OS kernels and their underlying hardware. He has made significant contributions to information flow security, verification of microarchitectural systems, and network programming language security. His research bridges theoretical foundations with practical security applications. His recent publications show a strong trend toward verifying low-level systems, with a focus on information flow security for processors, network programming languages (particularly P4), and microarchitectural vulnerabilities. His work combines formal methods with practical security concerns, developing verification techniques that address real-world security challenges in hardware and software systems. The research spans theoretical foundations in temporal and epistemic logics to practical applications in network security and processor verification. His scientific awards and recognition include: Two framework grants from the Swedish Foundation for Strategic Research A junior individual grant from the Swedish Foundation for Strategic Research Project grants and a five-year research fellowship from the Swedish Research Council (VR) Project grants from Ericsson, Microsoft Research, US Air Force, and Vinnova (the Swedish Innovation Agency) Mads Dam has been a principal investigator on numerous research projects and has supervised many graduate students. He has been a partner in several European projects including HATS, S3MS, VerifiCard, LOMAPS, and UaESMC. His research has been supported by substantial grants from major funding bodies, reflecting the significance and impact of his work in computer security and formal methods. He is a founding member of several research centers at KTH, including Access, the CASTOR software research center, and the CDIS center for cyber defense and information security. These centers bring together researchers from multiple disciplines to address complex challenges in cybersecurity and software engineering.

Frank Meiselمشاهده پروفایل

استاد

• Supply Chain Management
• Logistics
• Operations Research
• +۴ مورد دیگر

Prof. Dr. Frank Meisel holds the Chair for Supply Chain Management at the Christian-Albrechts-University of Kiel, within the Faculty of Law, Economics and Business. His research focuses on mathematical modeling and quantitative solution methods for the design and operation of production, distribution, and service networks. 1998-2003: Studied Traffic Engineering at the Technical University of Dresden 2008: Received Dr. rer. pol. with thesis "Seaside Operations Planning in Container Terminals" 2014: Completed Habilitation in Business Economics with thesis "Papers on the Design and Operations of Production-, Distribution- and Service-Networks" Since 2013: Professor of Supply Chain Management at Kiel University Prof. Meisel's research spans multiple areas of logistics and operations research. His primary interests include maritime logistics, particularly container terminal operations; vehicle routing problems with synchronization requirements; and integrated planning of production-distribution networks. He develops mathematical models and optimization algorithms to address complex logistical challenges in various industry contexts, from seaport operations to healthcare logistics and urban waste management. His work bridges theoretical operations research with practical logistics applications across diverse sectors. His publication record demonstrates a progression from specialized maritime logistics problems to broader supply chain applications. Recent work shows increasing focus on sustainability considerations and the integration of multiple operational decisions across different parts of supply networks. His research has significant practical implications for container terminal operations, intermodal transportation, and service logistics. Prof. Meisel actively contributes to the academic community through conference presentations at major events including EURO, IFORS, and specialized workshops on maritime logistics. His work appears in top-tier journals such as Transportation Science, European Journal of Operational Research, and Computers & Operations Research. He teaches courses including Supply Chain Management, Production and Logistics, and Operations Management at both undergraduate and graduate levels. His educational contributions include developing curriculum for English-language business programs and supervising student research projects in logistics optimization.

Kede Maمشاهده پروفایل

دانشیار

• Image Quality Assessment
• Computational Photography
• High Dynamic Range Imaging
• +۷ مورد دیگر

Kede Ma is an Associate Professor in the Department of Computer Science at City University of Hong Kong (CityUHK). He received his B.E. from the University of Science and Technology of China (USTC) in 2012, and MASc and Ph.D. degrees from the University of Waterloo in 2014 and 2017, respectively. From 2018 to 2019, he was a Research Associate with the Howard Hughes Medical Institute and New York University. Prof. Ma has been named to the Highly Cited Researchers list by Clarivate Analytics in 2024 and currently serves on the editorial boards of IEEE Transactions on Image Processing, IEEE Transactions on Information Forensics and Security, and IEEE Signal Processing Letters. Prof. Ma leads the Multimedia Analytics (MA) Laboratory, an interdisciplinary research group focused on computational vision, computational modeling of human visual perception, perceptual multimedia signal processing, quality assessment, and multimedia forensics. His research spans computational photography, high dynamic range imaging and rendering, omnidirectional video analysis, camera processing pipeline design, and artificial intelligence safety in multimedia systems. His work integrates machine learning techniques including reinforcement learning, generative modeling, self-supervised learning, and continual learning for multimedia signal processing applications. His recent publications demonstrate a strong focus on image quality assessment, deep learning for multimedia processing, and multimedia forensics. His work bridges theoretical computer vision principles with practical applications in multimedia systems. The research trends show increasing integration of foundation models with specialized multimedia processing tasks, particularly in quality assessment and security applications. Highly Cited Researchers list by Clarivate Analytics (2024) Best Paper Award at IEEE International Conference on Virtual Reality and Visualization (2021) Best Paper Runner-Up at International Joint Conference on Artificial Intelligence Workshop (2021) Top 10% Award at IEEE International Conference on Image Processing (2015) Finalist for the Governor General's Gold Medal, University of Waterloo (2017) Spotlight presentation at NeurIPS (2022) Highlight paper at ICCV (2025) Oral presentation at ICLR (2025) Prof. Ma advises numerous PhD students and postdoctoral fellows in the MA Laboratory. His research is supported by various grants enabling work in multimedia analytics, image processing, and computer vision. The laboratory maintains active collaborations with researchers at institutions including SUSTech, ZJU, and HIT. Current projects focus on advancing image quality assessment methodologies, developing more robust deep learning techniques for multimedia forensics, and exploring new approaches to HDR imaging and omnidirectional video processing. The Multimedia Analytics Laboratory maintains a strong focus on both theoretical foundations and practical applications of multimedia processing. Current research directions include integrating large language models with image quality assessment, developing more robust deepfake detection methods, and advancing techniques for continual learning in multimedia applications. The lab emphasizes rigorous evaluation methodologies and maintains multiple datasets for multimedia quality assessment research.

• Analog and mixed-signal integrated circuit design
• Computer-aided design (CAD) of electronic circuits
• Design automation (EDA)
• +۵ مورد دیگر

Georges Gielen is Full Professor in the Department of Electrical Engineering (ESAT) at KU Leuven, Belgium, and part-time Research Director at imec. He has held multiple leadership roles including Chair of ESAT Department (2012-2013, 2020-2024) and Vice-Rector for Science, Engineering & Technology (2013-2017). His academic career spans over 30 years at KU Leuven, progressing from Assistant to Full Professor. His research focuses on analog and mixed-signal integrated circuit design automation , with expertise in CAD tools, design optimization, sensor interfaces, and neuromorphic systems. His work bridges hardware design with machine learning, particularly in hardware-efficient AI implementations and biomedical applications. He has pioneered techniques for automated analog circuit sizing, topology synthesis, and reliability-aware design in nanometer CMOS. Gielen has received numerous accolades including the IEEE CAS Mac Van Valkenburg Award (2015), IEEE CAS Charles Desoer Award (2020), and EDAA Achievement Award (2021). He holds an ERC Advanced Grant AnalogCreate and is an IEEE Fellow since 2002. As a prolific scholar, he has chaired major conferences including DATE (2006), ICCAD (2007), and ESSCIRC (2017). He has graduated over 55 PhD students through the MICAS research group at KU Leuven, currently supervising 13 doctoral candidates. His research team collaborates extensively with imec and industry partners on cutting-edge projects in carbon-aware AI accelerators, uncertainty-aware design, and neuromorphic sensor interfaces.