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Marc De GraefView profile

Professor

• Materials Characterization
• Electron Microscopy
• Magnetic Materials
• +3 more

Marc De Graef is the John and Claire Bertucci Distinguished Professor of Materials Science and Engineering at Carnegie Mellon University (CMU). He leads the J. Earle and Mary Roberts Materials Characterization Laboratory and is affiliated with the Materials Science and Engineering Department within the College of Engineering. De Graef holds dual roles as a faculty director and researcher, specializing in advanced materials characterization techniques, particularly electron microscopy and microstructural analysis. Education: Ph.D. in Physics, Catholic University of Leuven (1989) M.S. and B.S. in Physics, University of Antwerp (1983) Research Interests: De Graef's work focuses on 3D microstructure analysis, materials informatics, magnetic materials, and advanced characterization methods like Lorentz microscopy. His research emphasizes quantitative electron microscopy techniques, including electron backscatter diffraction (EBSD), and their application to study complex materials systems. He has pioneered software tools for materials characterization, such as orientation mapping algorithms and dictionary-based indexing methods. Key Achievements: Recipient of the 2025 Microscopy Society of America Distinguished Scientist Award Author/co-author of over 350 publications and two textbooks: Introduction to Conventional Transmission Electron Microscopy and Structure of Materials Principal investigator on grants including a $7.5M Air Force-funded Center of Excellence in data-driven materials research Lab & Collaborations: Directs the Materials Characterization Facility at CMU, advancing capabilities in X-ray and electron microscopy. His team collaborates on projects involving additive manufacturing, magnetic domain analysis, and topological magnetic structures. Recent work includes studies on skyrmions in thin films and phase stability in novel alloys.

Shahid RazaView profile

Professor

• Cybersecurity
• Internet of Things (IoT) Security
• AI/Machine Learning & IoT Security
• +3 more

Shahid Raza is a Professor of Cybersecurity at the University of Glasgow's School of Computing Science. He previously led the RISE Cybersecurity Unit in Sweden, establishing it as a leading research group. His expertise spans IoT Security, PKI, AI-driven cybersecurity solutions, and hardware/data security. Raza holds a PhD and Docentship from Uppsala University, alongside a Bachelor's with a Gold Medal for academic excellence. Education: B.Sc. (Computer Science, 3.99/4.0 CGPA, Gold Medal), Licentiate, PhD, and Docentship in Cybersecurity from Sweden. He leads EU-funded projects like H2020 CONCORDIA and Horizon Europe CUSTODES, coordinating initiatives such as the Cyber Node and Cyber Range. Active in cybersecurity policy, he serves on the EU SCCG, ECSO, and EARTO Security & Defence Research working groups. Research Interests Public Key Infrastructure (PKI) for IoT AIAgent-Driven Cybersecurity Solutions IoT Certification Standards Hardware Security for Low-Power Devices Grants & Projects Coordinator: Horizon Europe CUSTODES Technical Leader: H2020 Arcadian-IoT Founder: RISE Cyber Range (Sweden's largest cybersecurity test facility) Awards & Memberships IEEE Senior Member Gold Medal for Academic Excellence (Bachelor's)

• Software Engineering
• Computer Supported Cooperative Work (CSCW)
• Human-Computer Interaction (HCI)
• +5 more

Hilda Tellioglu is an Associate Professor and Dean of Academic Affairs for Informatics at TU Wien, leading the Artifact-based Computing and User Research department. She holds a dual role as Head of Research Unit and oversees the Office of the Dean. Her work focuses on Human-Computer Interaction (HCI), Design Thinking, and Digital Transformation, with a strong emphasis on socio-technical systems and participatory design methodologies. Research interests span software engineering, CSCW, ambient assisted living (AAL), and digital co-creation practices in urban planning. She has spearheaded projects like aspern.mobil LAB, EnviSense, and StreetForum, exploring smart mobility, environmental sensing, and citizen participation in urban development. Her work frequently integrates tangible interfaces and model-based design approaches. Key contributions include frameworks for digital transformation evaluation (EEFCET 2020), user-centered design for informal caregivers (TOPIC platform), and crisis management systems using crowdsourcing (RE-ACTA). She has led over 20+ research projects funded by FFG, EU, and national agencies, focusing on mobility innovation, healthcare technology, and sustainable urban systems. Teaching responsibilities include courses on Design Thinking, Digital Transformation, and Research Methods across bachelor's, master's, and PhD programs. She actively promotes interdisciplinary collaboration through initiatives like the Center for Technology & Society (CTS) and Living Lab methodologies.

Timothy HarrisView profile

Lecturer

• Distributed Systems
• Operating Systems
• Machine Learning
• +5 more

Timothy Harris is an Affiliated Lecturer at the University of Cambridge's Department of Computer Science and Technology, where he jointly teaches courses on multicore semantics and programming. Currently, he works at OpenAI, focusing on performance optimization for GPU inference of large language models, including the Azure OpenAI Service. Previously, he held roles at Microsoft, AWS, Oracle Labs, and was a faculty member at the University of Cambridge (2000–2004). His research spans distributed systems, runtime systems, operating systems, and high-performance computing, with an emphasis on scalability and performance. He contributed to projects like the Xen hypervisor and the Barrelfish research OS. Key research interests include distributed training of PyTorch models in the ONNX runtime, large-scale storage performance with Amazon S3, and runtime systems for in-memory graph analytics. His work often bridges 'big data' and high-performance computing techniques. Notable contributions include the book Transactional Memory (2010) and the Barrelfish OS, alongside numerous publications in top-tier conferences like SOSP, ASPLOS, and EuroSys. He has served as PC chair for ISMM 2025, VEE 2017, and EuroSys 2015, reflecting his leadership in the systems research community. His awards include a Best Paper Award at PACT 2010. Beyond academia, Harris is an avid hiker, aiming to complete the UK coastline, and maintains a photography portfolio at tlhphotography.uk .

Giuseppe SantucciView profile

Associate Professor

• Visual Analytics
• Information Visualization
• Human-Computer Interaction
• +3 more

Giuseppe Santucci is an Associate Professor at the Department of Computer, Control and Management Engineering Antonio Ruberti at Sapienza University of Rome. He teaches courses on Fundamentals of Computer Science, Software Engineering, and Visual Analytics. His office is located in Room B218 at Via Ariosto 25, Rome, and his contact email is santucci@diag.uniroma1.it. Dr. Santucci's research focuses on Visual Analytics, Information Visualization, Human-Computer Interaction, and Information Retrieval. His work spans theoretical aspects of visual query languages for semantic models to practical applications in visual analytics for cybersecurity, cryptocurrencies, and deep learning explainability. He has published over 130 articles in international journals and conferences, demonstrating his significant contributions to these fields. His recent publications show a strong trend toward applying visual analytics to increasingly complex domains including cybersecurity, cryptocurrencies, and explainable AI. The work demonstrates an evolution from theoretical foundations of visual query systems to practical applications that help users understand complex data and systems. His research bridges the gap between theoretical computer science and practical user-centered solutions. Dr. Santucci has received notable recognition including: IEEE VizSec 2018 Best Paper Award Human-Computer Interaction Cybersecurity Awards 2018 He actively mentors students through thesis projects focused on information visualization and visual analytics. His PROMISE project provides a framework for students to engage in cutting-edge research in information retrieval and visual analytics. He has supervised work on topics including visual evaluation techniques, visual mappings optimization, and user studies for Infovis systems. Dr. Santucci leads the A.WA.RE (Advanced Visualization & Visual Analytics REsearch) group at Sapienza University. This group conducts research on visual analytics tools for information retrieval evaluation, cybersecurity analysis, and deep learning explainability. Their work includes developing frameworks like CryptoComparator for cryptocurrency analysis and BUCEPHALUS for cybersecurity platform analysis.

• Internet of Things (IoT)
• Edge Computing
• Cloud-Edge-IO Continuum
• +4 more

Carlos Enrique Palau is a prominent researcher in the field of Internet of Things (IoT), edge computing, and cyber-physical systems. His work focuses on interoperability, security, and scalability in distributed systems, particularly in industrial and smart city applications. He has contributed to frameworks for cloud-edge continuum integration, blockchain-based IoT solutions, and federated computing architectures. Key areas of research include: IoT interoperability and semantic frameworks Edge computing and distributed workload management Cybersecurity for IoT and critical infrastructure Smart port logistics and real-time data analytics Cognitive services in legacy port management systems His recent work explores: Data-as-a-Product frameworks for Industry 4.0/5.0 Autonomous workload scheduling in energy-efficient edge-cloud systems Deception mechanisms for IoT security Self-* capabilities in cloud-edge nodes Palau has collaborated extensively with institutions like Universitat Politècnica de València and international partners in projects funded by EU initiatives. His research addresses practical challenges in industrial IoT deployments, smart city infrastructure, and emergency management systems.

Aravind RajeswaranView profile

Researcher

• Reinforcement Learning
• Representation Learning
• World Models
• +5 more

Aravind Rajeswaran is a Research Scientist at Meta AI (FAIR) and Visiting PostDoc/Collaborator at Berkeley AI Research Lab (BAIR) at UC Berkeley's College of Engineering, Department of Electrical Engineering and Computer Sciences. He completed his PhD in Computer Science at the University of Washington under Profs. Sham Kakade and Emo Todorov, with additional collaborations with Sergey Levine and Chelsea Finn, and previously earned his bachelor's degree with the best undergraduate thesis award from IIT Madras working with Balaraman Ravindran. His research focuses on building generalist AI agents that operate in open worlds, combining reinforcement learning, representation learning, and world models. Key projects include Locate 3D for real-world object localization, OpenEQA for embodied question answering with foundation models, VC-1 as an artificial visual cortex for embodied intelligence, and R3M as a universal visual representation for robot manipulation. His work demonstrates how pre-trained visual representations can significantly enhance robotic capabilities with minimal supervision. Rajeswaran's publication record shows consistent high-impact contributions across premier AI conferences including NeurIPS, ICML, CVPR, and RSS from 2018 through 2025, with research spanning reinforcement learning, representation learning, robotics, and computer vision. His work on Decision Transformer demonstrated how sequence modeling frameworks can effectively train reinforcement learning policies. Best Paper Award, Scaling Robot Learning Workshop at ICRA 2022 best undergraduate thesis award from IIT Madras As an educator and mentor, Rajeswaran has guided numerous PhD students who have gone on to positions at Stanford, MIT, CMU, Berkeley, and top AI companies including Meta, DeepMind, and Anthropic. He designed and co-taught the Deep Reinforcement Learning course (CSE599G) at UW in 2018, with materials adopted by courses at MIT and CMU, and served as lead TA for Machine Learning for Big Data (CSE547). His research has been supported through his role as Principal Investigator for the Cortex Team at FAIR.

Adam J. AvivView profile

Associate Professor

• Computer Security
• Cybersecurity
• Privacy
• +9 more

Adam J. Aviv is an Associate Professor of Computer Science at The George Washington University, leading the George Washington University Usable Security and Privacy Lab (gwusec) . His work focuses on computer security, privacy, and usable security , with a particular emphasis on user behavior, authentication systems, and mobile/web security. University: The George Washington University Academic Rank: Associate Professor Email: aaviv@gwu.edu Research Interests: His research investigates how users interact with security and privacy systems, including studies on: Biometric and mobile authentication Password manager usability Generative AI risk perception Online proctoring and institutional decisions Data breach responses Privacy labels and user trust Recent Publications (2024–2025) span venues like USENIX Security, IEEE S&P, ACM CHI, and PoPETs, covering topics such as: Wearable-based contact tracing in low-resource settings WhatsApp mod security perceptions Password manager issues Privacy label accuracy Grants & Awards: Recipient of the OVPR Research Mentorship Award for his work with students. Currently holds NSF grants for collaborative cybersecurity research and travel funding for Privacy Enhancing Technology Symposium. Teaching: Offers Intro to Usable Security and Privacy (CSCI 4533/6533) in Fall 2025, with students engaging in: Secure messaging studies Interview and survey methodology Full research projects with ethics reports Laboratory: The gwusec lab focuses on user-centered security and privacy research , collaborating with institutions like Tel Aviv University and University of Haifa.

Vincent John Mooney IIIView profile

Associate Professor

• Hardware-Software Co-Design
• Cyber Physical Systems Security
• System Level Design
• +7 more

Vincent John Mooney III is an Associate Professor at the School of Electrical and Computer Engineering and an Adjunct Associate Professor at the School of Computer Science, Georgia Institute of Technology. His research focuses on Hardware-Software Co-Design , Cyber Physical Systems Security , and Low-Power Architectures . He has authored numerous publications on topics such as probabilistic computing, hardware security, and embedded systems design. Dr. Mooney has received prestigious awards including the NSF Career Award , National Semiconductor Fellowship , and ARCS Best Paper Award . Education: Ph.D. in Electrical Engineering (1998), Stanford University MA in Philosophy (1997), Stanford University MS in Electrical Engineering (1994), Stanford University Certificate of Graduate Study (1992), University of Navarra BS in Electrical Engineering and Computer Science (1991), Yale University Research interests span hardware/software codesign, cybersecurity in embedded systems, and synthesis of reconfigurable architectures. His recent work includes Gridtrust for decentralized supply chain cybersecurity and COPPER for computation obfuscation. Dr. Mooney has supervised numerous Ph.D. students and held leadership roles in conferences such as HOST and CASES . Scientific awards include NSF Career Award (2000) National Semiconductor Fellowship (1997-1998) AT&T Engineering Scholarship Program (1987-1991) NCAA Postgraduate Scholar (1991) Senior Member, IEEE (2003) ARCS 2012 Best Paper Award Advising and grants highlight his mentorship of students like Jun Cheol Park and Yudong Tan , along with grants such as the U.S. Air Force Summer Faculty Fellowship (2007). He leads the Hardware/Software Codesign for Security Group at Georgia Tech and has contributed to advancements in real-time operating systems and deadlock detection algorithms.

• Artificial Intelligence
• Legal Technology
• Dispute Resolution
• +3 more

Professor John Zeleznikow is an Honorary Associate at La Trobe University's Law School, with a distinguished career spanning 49 years across multiple institutions including the University of Edinburgh and Victoria Business School. His research focuses on AI applications in legal decision-making, dispute resolution, and autonomous vehicle technology. He has secured over $8M in research grants and supervised 20 PhD graduates. Key projects include the Split-Up system (used in high-profile divorce cases like Prince Charles and Lady Di) and Family-Winner software, which won an ABC TV innovation award. His work bridges law, technology, and ethics, with publications in leading journals like the Harvard Negotiation Law Review and Artificial Intelligence and Law . Recent research explores AI-driven online dispute resolution (ODR), autonomous vehicle regulation, and the ethical implications of technology in legal systems. He advocates for transparent, user-centric legal tech solutions to enhance access to justice and improve decision-making processes.

Miaki IshiiView profile

Professor

• Seismology
• Geophysics
• Earthquake Studies
• +5 more

Miaki Ishii is a Professor of Earth and Planetary Sciences at Harvard University, affiliated with the Department of Earth and Planetary Sciences. She leads the Harvard Seismology Group and has held academic roles at Harvard since 2006, progressing from Assistant to Associate Professor and then Full Professor. Education: Ph.D. in Geophysics (2003), Harvard University Hon.B.Sc. in Physics (1998), University of Toronto Research Interests: Ishii specializes in seismic imaging of Earth's internal structure, including the mantle and core. Her work focuses on earthquake mechanisms, signal processing, and theoretical seismology. She uses seismic data to study rupture dynamics, subduction zone processes, and free oscillations of the Earth. Key Contributions: Notable projects include analyzing the 2011 Tohoku-Oki earthquake rupture, developing the DigitSeis software for analog seismogram digitization, and studying inner core anisotropy using normal mode splitting. Her research integrates high-performance computing and waveform inversion techniques. Awards: James B. Macelwane Medal (2009) Kavli Fellow (2012) Charles F. Richter Award (2008) Alice Wilson Award (2004) Labs/Teams: Directs the Harvard Seismology Group, collaborating internationally on seismic networks like Hi-net and USArray. Her work bridges computational seismology with observational geophysics.

Farhad MerchantView profile

Assistant Professor

• Hardware Security
• Neuromorphic Computing
• Algorithm-Architecture Co-design
• +3 more

Dr. Farhad Merchant is an Assistant Professor of Innovative Computer Architecture at the Bernoulli Institute, University of Groningen, since July 2024. Previously, he served as a Lecturer (Assistant Professor) at Newcastle University (2022–2024) and held research roles at Bosch Research, NTU, and RWTH Aachen University. His research focuses on emerging technology-based computing and hardware-oriented security, including neuromorphic architectures, in-memory computing, and secure hardware design. Education: PhD in Electronics Engineering from the Indian Institute of Science, Bangalore, with a DAAD-funded visit to RWTH Aachen University. He also holds industry experience from Bosch Research. Research Interests : - Hardware Security - Neuromorphic Computing - Algorithm-Architecture Co-design - Reconfigurable Computing - Computer Arithmetic Projects : - Coordinator for the REACT project (2025–2029): Focuses on self-aware neuromorphic architectures. - Principal Investigator for Privacy-Preserving Computer Architectures (CogniGron, 2025–2029). - Completed BioNanoLock project (DFG-funded, focusing on bio-nanoelectronic security). Awards : - Best Paper Awards at ISQED 2022, NEWCAS 2023, and VLSI-DAT 2024. - Minerva Fellowship (Technion, Israel), HiPEAC Technology Transfer Award (2019). He co-founded the SeHAS workshop (since 2019) and serves on editorial and program committees for major conferences like DAC, ISLPED, and VLSI-SoC.

• Intelligent software systems
• Model-driven engineering
• Distributed systems
• +5 more

IIham ALLOUI is a permanent Lecturer in Computer Science (CNU 27 section) at Savoie Mont Blanc University since 1998, based at Polytech Annecy-Chambéry. She leads research in intelligent software systems at the LISTIC laboratory. Her roles include managing the Competency-Based Approach (CBA) mission for Polytech and overseeing the Pix Digital Skills project for the university. Education : PhD in Computer Science from Université Grenoble II (1992-1996), DEA in Computer Science from Université Grenoble II (1989-1990). Research Themes : Focuses on evolving software systems, model-driven engineering, distributed intelligent systems, and adaptive architectures using formal methods like modal logic, process algebra, and Markov Decision Processes. Her recent work (2015–present) involves designing adaptive 'Wise Object' frameworks for autonomous learning in software systems, with applications in fraud detection and microservice optimization. She co-supervised multiple theses on software architecture refinement, remodularization, and knowledge representation. Grants & Projects : Led or contributed to projects such as OpenCloudware (FUI), EcoCitoyen (AAP), and McWO/COMDA (USMB AAPs), addressing cloud architectures, home automation modeling, and educational innovation. Teaching : Specializes in model-driven engineering, software quality, and formal programming methods. Initiated educational projects like Reflexpro and APC By Karuta to enhance student professionalization and skill-based learning.

• Leadership Studies
• Organizational Development
• Leadership in Higher Education
• +4 more

Professor Richard Bolden is a Professor of Leadership and Management at the Bristol Business School, University of the West of England (UWE), where he also directs the Bristol Leadership and Change Centre. His career includes over a decade at the University of Exeter Business School and experience as a consultant, research psychologist, and software developer. He holds a PhD, MA, and BSc. His research focuses on distributed leadership, leadership development in complex systems, and cross-sector partnerships. Key areas include leadership in higher education, healthcare, and public services, with emphasis on paradoxes, complexity, and inclusion. He has published extensively, including a 2023 second edition of Exploring Leadership (Oxford University Press) and serves as Associate Editor of the Leadership journal. Prof. Bolden leads leadership modules for UWE's EMBA and clinical practitioner programs. His funded projects involve organizations like the NHS Leadership Academy and Singapore Civil Service College. Awards include Fellowship with the International Leadership Association. His work bridges academic theory and practical application, addressing systemic challenges through collaborative, inclusive leadership frameworks. Current interests include post-pandemic academic leadership and the 'great resignation' impact.

Mendel RosenblumView profile

Professor

• System Software
• Distributed Systems
• Computer Architecture
• +4 more

Mendel Rosenblum is the Cheriton Family Professor and holds dual appointments as Professor in the Departments of Computer Science and Electrical Engineering at Stanford University. He is a co-founder of VMware Inc. and served as its Chief Scientist for its first decade, playing a pivotal role in designing foundational virtualization technologies. Rosenblum's research focuses on system software, distributed systems, and computer architecture, with notable contributions to virtualization, data center networks, and operating systems. He leads the Platform Lab at Stanford, exploring next-generation data center technologies and high-performance computing systems. Administrative Role: Faculty Director of Stanford Computer Forum (2012–present) Education: PhD (UC Berkeley, 1992), MS (UC Berkeley, 1989), BA (University of Virginia, 1984) His research interests span disk storage management, computer simulation, scalable operating systems, and security. Recent work emphasizes deployable consensus algorithms, programmable smartNICs, and self-programming networks. Rosenblum has authored over 80 publications and holds multiple patents in virtualization and system software. Awards & Recognition: ACM System Software Award (2009) IEEE Computer Entrepreneur Award (2011) ACM Thacker Breakthrough in Computing Award (2018) Member, National Academy of Engineering (2013) He advises PhD and Master's students, including current advisees Sina Jandaghi Semnani and Zixi Liu. Rosenblum teaches advanced courses on web applications, distributed systems, and independent research projects.