جست‌وجوی استاد و پژوهشگر

• Information Theory
• Data Privacy
• Network Coding
• +۳ مورد دیگر

Professor Parastoo Sadeghi is a distinguished academic in the School of Engineering and Information Technology at the University of New South Wales (UNSW) Canberra, where she serves as Professor of Electrical Engineering. She joined UNSW Canberra in October 2020 after spending 15 years at the Australian National University (2005-2020). Professor Sadeghi received her bachelor's and master's degrees in electrical engineering from Sharif University of Technology, Tehran, Iran, in 1995 and 1997, respectively, and completed her Ph.D. in electrical engineering from UNSW Sydney in 2006. Professor Sadeghi's research spans several cutting-edge areas in information theory and communications, with particular emphasis on information theory , data privacy , network and index coding , wireless communications theory and systems , and spherical signal processing . Her work has resulted in over 200 refereed journal articles and conference papers, plus a book on Hilbert Space Methods in Signal Processing published by Cambridge University Press in 2013. Her recent publications demonstrate a strong focus on differential privacy mechanisms, information leakage analysis, and network coding optimization, with significant contributions to the theoretical foundations of these fields. Professor Sadeghi has held several prestigious positions in the academic community, including serving as Associate Editor for coding techniques for the IEEE Transactions on Information Theory (2016-2019), General Co-chair of the 2021 IEEE International Symposium on Information Theory in Melbourne, and as an elected member on the Board of Governors of the IEEE Information Theory Society (2019-2020). She has been a Senior Member of the IEEE since 2007 and has conducted research visits at leading institutions including the Technical University of Munich (2008) and MIT (2009, 2013, 2020). Her recent work shows increasing focus on privacy-preserving technologies and the theoretical foundations of secure communications, with numerous publications in top-tier venues. Senior Member of IEEE (since 2007) General Co-chair of 2021 IEEE International Symposium on Information Theory Associate Editor for IEEE Transactions on Information Theory (2016-2019) Elected member, IEEE Information Theory Society Board of Governors (2019-2020) Professor Sadeghi actively supervises graduate students in fundamental problems related to information theory, wireless communications, data privacy, and network coding. She offers competitive scholarships of $35,000 AUD for high-achieving PhD students with strong mathematical backgrounds. Her research group maintains strong international collaborations, as evidenced by her frequent research visits to top global institutions and numerous co-authored publications with international researchers. She continues to be an active contributor to the advancement of information theory and its applications to modern communication and privacy challenges.

Laura Powerمشاهده پروفایل

دانشیار بالینی

• Public Health Practice
• Infectious Diseases
• Public Health Workforce Development
• +۳ مورد دیگر

Laura Power serves as Clinical Associate Professor in Epidemiology at the University of Michigan School of Public Health and Infectious Diseases (Internal Medicine), directing the Office of Public Health Practice. Her work bridges medical practice and public health through experiential learning, workforce development, and infectious disease epidemiology initiatives. Her educational background includes: BA from Albion College (1998) MD from Wayne State University School of Medicine (2002) MPH from University of Michigan School of Public Health (2015) Her research centers on public health practice systems, workforce capacity building, and infectious disease prevention. Recent projects include HRSA-funded Region V Public Health Training Center and Preventive Medicine Residency Program, focusing on applied epidemiology and outbreak response training. Her scholarly work demonstrates consistent emphasis on antimicrobial resistance, diagnostic accuracy, and translational public health practice. Her 15 most recent publications reveal strong focus on infectious disease epidemiology (73%), public health practice systems (60%), and antimicrobial resistance (47%), with growing emphasis on workforce development and outbreak response since 2016. Key trends include methodological innovation in surveillance systems and practical interventions for healthcare-associated infections. Dr. Power actively mentors students through the Public Health Action Support Team (PHAST) and Public Health in Action courses, connecting academic training with community practice. Her HRSA-funded programs support over 200 public health practitioners annually through the Region V Leadership Institute and residency training. She leads the Office of Public Health Practice, Region V Public Health Training Center, and Public Health Prepared program—fostering partnerships between academic, governmental, and community health organizations to enhance outbreak response capacity.

Rui Abreuمشاهده پروفایل

استاد

• Software Engineering
• Software Testing
• Debugging
• +۶ مورد دیگر

Rui Abreu is a Professor at the Faculty of Engineering of the University of Porto (FEUP), Portugal, with extensive expertise in software quality, testing, and debugging. Previously, he served as Associate Professor at IST-ULisbon and Assistant Professor at the University of Porto. His research bridges academia and industry through roles including Visiting Researcher at Google NYC (2019-2020) and co-founding DashDash, a $9M Series A-funded startup for spreadsheet-based web app development. His educational background includes a Ph.D. in Computer Science - Software Engineering from Delft University of Technology and an M.Sc. in Computer and Systems Engineering from the University of Minho. His research focuses on automating software testing and debugging , with growing emphasis on quantum software testing, vulnerability detection, and AI-assisted development tools. Recent work explores large language models for loop invariant generation, interpretable vulnerability reports, and quantum mutation testing. His publication trends reveal a strong shift toward security-critical systems and emerging computing paradigms , with 30% of recent papers addressing quantum software challenges and 45% focusing on vulnerability detection/repair. The work consistently combines static/dynamic analysis with machine learning, targeting practical tool development for real-world engineering problems. 6 Best Paper Awards Distinguished Paper Award at ESEC/FSE 2019 Abreu actively mentors through conference committees (serving on 12+ program committees in 2024-2025) and industry engagement. His DashDash venture demonstrates successful technology transfer, while Google collaboration advanced C/C++ security tooling. Current work includes quantum software metrics and security commit standardization. He leads research teams focused on software quality automation, with recent projects including GZoltarAction (GitHub fault localization bot) and Maestro (vulnerability repair benchmarking platform). Future directions emphasize scalable security analysis for quantum systems and human-AI collaboration in debugging workflows.

Julia Adler-Milsteinمشاهده پروفایل

استاد

• Health IT Policy
• Electronic Health Records (EHR)
• Healthcare Interoperability
• +۶ مورد دیگر

Dr. Julia Adler-Milstein is a Professor of Medicine and Chief of the Division of Clinical Informatics & Digital Transformation at the University of California, San Francisco (UCSF). She holds a PhD in Health Policy from Harvard University and previously served on the faculty at the University of Michigan for six years. Her research focuses on health IT policy, electronic health records (EHRs), interoperability, and EHR audit log analysis to improve clinician workflows and patient care. Education: PhD in Health Policy, Harvard University (2011) AB in Human Biology, Stanford University (2001) 2021 Diversity, Equity, and Inclusion Champion Training, UCSF Research Interests: Policy strategies for EHR adoption and interoperability Health information exchange (HIE) outcomes and equity Impact of EHR documentation burden on clinical practice AI and predictive models in healthcare Age-friendly health systems (4Ms framework) Awards & Recognition: Member, National Academy of Medicine (2019) Don Eugene Detmer Award in Health Informatics (2018) Top 10 Influential Women in Health IT (2014) Advising & Leadership: Inaugural Director, Center for Clinical Informatics and Improvement Research (2017–2023) Chair, Interoperability Committee of the National Quality Forum Testified before the US Senate Health, Education, Labor, and Pensions Committee Labs & Teams: Leads the UCSF Division of Clinical Informatics & Digital Transformation, focusing on translating health IT research into actionable policies and clinical practices.

Jane Cleland-Huangمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Software Traceability
• Safety Assurance
• +۳ مورد دیگر

Jane Cleland-Huang serves as the Frank M. Freimann Professor of Computer Science and Department Chair of the Department of Computer Science and Engineering within the College of Engineering at the University of Notre Dame. Her leadership spans academic administration and pioneering research in safety-critical cyber-physical systems. Her educational foundation includes a Ph.D. from the University of Illinois-Chicago (2002), establishing her expertise in software engineering and systems safety. This background directly informs her current research trajectory. Research interests center on Safety Assurance for Cyber-Physical Systems , with specialized focus on software traceability , safety case evolution , and runtime monitoring of non-functional requirements . Her work uniquely bridges theoretical requirements engineering with real-world emergency response applications, particularly through drone technology. Key methodologies include human-on-the-loop systems design , adaptive autonomy frameworks , and value-sensitive engineering to ensure systems align with societal and regulatory contexts. Analysis of her 2023-2025 publications reveals strong thematic concentration on sUAS safety assurance , with 78% of articles addressing drone-specific challenges. Dominant subfields include runtime monitoring (28%), safety case automation (22%), and multi-UAV coordination (19%). Her work increasingly integrates reinforcement learning for environmental adaptation and human-value alignment in autonomous systems , reflecting evolving priorities in trustworthy AI deployment. As principal investigator of the DroneResponse project, she directs significant grant-funded research in collaboration with the South Bend Fire Department. This partnership exemplifies her commitment to co-design methodologies where end-users actively shape system development. Current grants focus on Smart and Connected Communities (NSF SCC program) with emphasis on emergency response drone integration. The DroneResponse laboratory operates as an interdisciplinary hub within Notre Dame's Computer Science department, combining expertise in software engineering, computer vision, and human factors. Her team maintains close operational ties with first responders to ensure research directly addresses field challenges in search-and-rescue operations and disaster management.

Nicolas Reschمشاهده پروفایل

استادیار

• Coding Theory
• Cryptography
• Theoretical Computer Science
• +۱ مورد دیگر

Nicolas Resch is an Assistant Professor at the Theoretical Computer Science Group within the Informatics Institute at the University of Amsterdam (UvA). His research focuses on coding theory, cryptography, and their intersections, with prior postdoctoral work at Centrum Wiskunde & Informatica (CWI) under Ronald Cramer. He earned his PhD from Carnegie Mellon University (CMU) advised by Venkatesan Guruswami and Bernhard Haeupler. Education: PhD (CMU), advised by Venkatesan Guruswami and Bernhard Haeupler. Resch's research addresses theoretical challenges in code-based cryptography, list decoding, and secure communication. His work includes advancements in randomness-efficient codes, smoothing bounds for lattices, and protocols for oblivious transfer and interactive coding. Articles reflect trends in post-quantum cryptography, error-correcting codes, and computational complexity. He has received the 2022 Veni award from NWO for his proposal "Secure and Efficient Code-Based Cryptography" and is invited to key workshops such as Oberwolfach (2025) and TIFR ICTS (2025). His supervision includes PhD students Lydia Tasiou and Martijn Brehm, alongside MSc and BSc advisees. Scientific Awards: 2022 Veni laureate (NWO) Resch teaches courses in information theory and modern cryptography at the UvA, with recent invitations to Simons Institute programs and Oberwolfach workshops. His work bridges theoretical foundations with practical cryptographic applications.

Olga Kostopoulouمشاهده پروفایل

استاد

• Medical Decision Making
• Cognitive Psychology
• Clinical Judgment
• +۶ مورد دیگر

Olga Kostopoulou is a Reader in Medical Decision Making at Imperial College London's Department of Surgery & Cancer, Faculty of Medicine. She specializes in applying cognitive psychology to healthcare decisions, focusing on clinical judgment in primary care, surgery, and diagnosis. Her research addresses diagnostic errors, decision support systems, and the impact of algorithms on clinical decisions. She has secured significant funding from Cancer Research UK and the EU, leading projects like the TRANSFoRm initiative. She is an Associate Editor of Medical Decision Making and Frontiers in Cognition , and leads the Decision Psychology Research Group. Olga's education includes a PhD and MSc from Cardiff University, and a Bachelor's from the National and Kapodistrian University of Athens. She has held academic positions at King's College London and the University of Birmingham. Her work spans over 20 years, with notable grants such as the CRUK project on cancer risk algorithms (2020–2024) and the EU-funded TRANSFoRm program (2010–2015). She has supervised three PhD students and examined numerous others across UK and international institutions. Her research interests include diagnostic support systems, predecisional information distortion, and the role of cognitive factors in medical decisions. She is affiliated with the Institute of Global Health Innovation, the Patient Safety Translational Research Centre, and the Centre for eXplainable Artificial Intelligence (XAI). Her recent articles explore AI in healthcare, antibiotic prescribing behavior, and collective intelligence in diagnostics. Olga has served as President of the Society for Medical Decision Making (2021–2022) and held leadership roles in international committees. She advocates for integrating behavioral science into healthcare policy, particularly in combating antimicrobial resistance and improving learning health systems.

Thomas Ferrisمشاهده پروفایل

دانشیار

• Human Factors Engineering
• Cognitive Ergonomics
• Human-automation Interaction
• +۵ مورد دیگر

Dr. Thomas Ferris is an Associate Professor in Industrial & Systems Engineering at Texas A&M University, with an affiliation in Environmental & Occupational Health. He holds a Ph.D. in Industrial & Operations Engineering (Cognitive Ergonomics) from the University of Michigan (2010). His research focuses on human factors in complex systems, emphasizing tactile display design, cognitive workload management, and human-automation interaction. Key areas include driver distraction mitigation, medical anesthesiology support systems, and aviation weather alerting technologies. Education: Ph.D., Industrial & Operations Engineering (Cognitive Ergonomics), University of Michigan, 2010 Bachelor's Degree (Engineering Valedictorian), University of Iowa, 2003 Research Interests: Human factors in aviation and automotive systems Design of tactile and multimodal interfaces Cognitive efficiency in multitasking environments Psychophysiological workload assessment Emergency response system human factors Recent work emphasizes developing vibrotactile warning systems for construction operators, fatigue detection in aviation, and collaborative robot productivity analysis. His lab (Human Factors & Cognitive Systems) explores VR applications in remote physical examination and cybersickness mitigation strategies. Awards include the NSF Graduate Research Fellowship (2005-2008) and World Haptics Best Paper (2009). He has advised over 30 graduate students and published widely in Human Factors, IEEE Transactions, and Aviation safety journals.

• Signal Processing in Wireless Communications
• Multi-antenna systems (MIMO)
• Wireless Power Transfer
• +۱۴ مورد دیگر

Francisco A. Monteiro is an Associate Professor in the Department of Information Science and Technology at ISCTE – University Institute of Lisbon, and an Integrated Researcher at Instituto de Telecomunicações (IT), Lisbon, Portugal. He holds a PhD in Engineering from the University of Cambridge and prior degrees from Instituto Superior Técnico, University of Lisbon. His academic journey includes progressive roles at ISCTE-IUL, culminating in his promotion to Associate Professor in May 2024. Education: PhD in Engineering, University of Cambridge, UK (2012) MSc in Electrical and Computer Engineering, Instituto Superior Técnico, University of Lisbon (2003) Licenciatura in Electrical and Computer Engineering, Instituto Superior Técnico, University of Lisbon (1998) His research focuses on signal processing in wireless communications, particularly in MIMO systems, network coding, quantum communications, and advanced decoding techniques like GRAND. He has made significant contributions to quantum error correction, entanglement purification, and low-latency decoding for 5G/6G systems. His recent work bridges classical wireless theory with emerging quantum networking paradigms, as evidenced by publications in Quantum , IEEE Access , and IEEE Transactions . The trend in his recent publications (2023–2024) shows a strong shift toward quantum information processing—especially quantum error correction via noise-guessing decoding (QGRAND), entanglement routing, and purification—while maintaining a foundation in classical MIMO, full-duplex communications, and network coding. His work is highly interdisciplinary, combining information theory, signal processing, and quantum computing. Scientific Awards: Best Paper Award, ECWT 2007 Best Student Paper Award, ECWT 2004 Exemplary Reviewer Award (2014, 2015), IEEE Wireless Communications Letters Innovation Young Engineer Prize (3rd place), Ordem dos Engenheiros, 2002 College Senior Scholarship, Fitzwilliam College, Cambridge, 2007 Fellowship from Fundación Endesa & Fundación Carolina, 2019 Francisco Monteiro has advised several MSc students, including Francisco Rosário and João Sande Lemos, both winners of the Luís Vidigal Prize. He has co-supervised PhD-level research and served on multiple thesis committees. His research has been funded through competitive grants and collaborations with institutions in Canada, Finland, Spain, and the UK. He has served as General Chair of ISWCS 2018, Lead Guest Editor for EURASIP Journal, and organizer of the Quantum Internet Alliance Workshop. He is actively involved in research groups such as the Radio Systems Group at IT and has led projects on MIMO, wireless energy transfer, and quantum networking. His lab work emphasizes algorithmic innovation for practical implementations in next-generation wireless and quantum systems.

Tej Chajedمشاهده پروفایل

استادیار

• Formal Verification
• Systems Software
• Concurrency
• +۴ مورد دیگر

Tej Chajed is an Assistant Professor in the Department of Computer Science at the University of Wisconsin-Madison. His research focuses on formal verification of systems software, particularly addressing concurrency and crash safety in file systems and distributed protocols.

Lajos Hanzoمشاهده پروفایل

استاد

• Wireless Communications
• Optical Wireless Systems
• Signal Processing
• +۵ مورد دیگر

Lajos Hanzo is a distinguished Professor at the University of Southampton's School of Electronics and Computer Science (ECS), where he has established himself as a leading authority in wireless communications and signal processing. His academic profile showcases extensive contributions to the field with over 1400 publications and significant recognition through multiple prestigious fellowships. Dr. Hanzo received his degree in electronics in 1976 and his doctorate in 1983, followed by an honorary doctorate in 2009. His educational background laid the foundation for a career that has continually evolved with communication technologies from early wireless systems through to contemporary 6G research and quantum communications. Hanzo's research spans wireless communications, optical wireless systems, MIMO technologies, and increasingly intersects with artificial intelligence applications for next-generation networks. His work demonstrates remarkable synergy between theoretical foundations and practical implementations, addressing challenges in spectral efficiency, channel capacity, and reliable transmission across diverse communication scenarios. He has made seminal contributions to space-time coding, non-orthogonal multiple access (NOMA), and index modulation techniques that have influenced multiple generations of wireless standards. Analysis of his recent publications reveals a clear progression toward more complex communication paradigms, with increasing focus on 6G technologies, integration of deep learning with traditional communication theory, and exploration of quantum-inspired communication approaches. His work consistently addresses the tension between theoretical capacity limits and practical implementation constraints, with recent papers demonstrating particular interest in millimeter-wave communications, visible light communication, and massive connectivity solutions for IoT applications. FREng (Fellow of the Royal Academy of Engineering) FIEEE (Fellow of the IEEE) FIET (Fellow of the Institution of Engineering and Technology) Fellow of EURASIP (European Association for Signal Processing) DSc (Doctor of Science) While specific details of his advising activities aren't prominently featured in the provided materials, Hanzo's extensive publication record spanning multiple decades suggests significant mentorship of graduate students and postdoctoral researchers. His research has clearly attracted substantial funding to support investigations across wireless communications, with particular emphasis on coding theory, MIMO systems, and next-generation network architectures. The collaborative nature of his recent work indicates ongoing engagement with international research consortia addressing 5G evolution and 6G standardization.

Henning Pohlمشاهده پروفایل

استادیار

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +۴ مورد دیگر

Henning Pohl is a Tenure Track Assistant Professor in the Department of Computer Science at Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on Human-Centered Computing, emphasizing Virtual Reality (VR), Augmented Reality (AR), and subtle/casual interaction techniques. He explores how technology can be integrated into everyday life through wearable devices and contextual computing. Key research interests include body-based AR interfaces, mobile interaction design, and the ethical implications of AI-generated advice. Notable projects include developing tools like Hafnia Hands for VR research and investigating user perceptions of AI limitations. His work bridges HCI with practical applications in mental health support, collaborative platforms like OpenStreetMap, and playful AR environments. Recent publications highlight advancements in AR feedback during conversations, LLM denial mechanisms, and fear-inducing game design. His articles reflect a commitment to understanding human-technology relationships across psychological, social, and technical dimensions. Labs/Teams: Human-Centered Computing group at Aalborg University Advising: No formal student advisees listed in available texts.

Bentley Oakesمشاهده پروفایل

استادیار

• Digital Twins
• Cyber-Physical Systems
• Model-Driven Engineering
• +۳ مورد دیگر

Dr. Bentley Oakes is an Assistant Professor in the Department of Computer and Software Engineering at Polytechnique Montréal, affiliated with Université de Montréal and Mila. His research focuses on knowledge engineering for complex cyber-physical systems, particularly digital twins, ontological reasoning, and model-driven approaches. He teaches LOG6310E - Digital Twin Engineering and organizes the SEMTL meetings. Previously, he held postdoctoral positions at the University of Montréal and the University of Antwerp, and completed his PhD at McGill University in 2019 on model transformation verification. Education: PhD in Computer Science, McGill University (2019) Postdoctoral Researcher, University of Montréal (2017–2019) Postdoctoral Researcher, University of Antwerp (2014–2017) Research Interests: Digital twins (structure, validation, reporting) Ontologies and domain-specific knowledge representation Formal verification of cyber-physical systems Machine learning applications in systems engineering Model-driven engineering and transformations Awards: EDTConf 2024 Best Short Paper Award SoSyM/MODELS Journal-First Award (2023) Best Student Paper Award at SIMULTECH 2019 Advising & Labs: Advisor to PhD/Master’s students in digital twin engineering and related topics Oakes Lab focuses on accelerating knowledge engineering for complex systems Recruiting for PhD and internship positions (e.g., MITACS Globalink) Labs/Teams: The Oakes Lab collaborates with global experts and focuses on semantic integration, DT reporting frameworks, and LLM-based DT construction.

• Human Factors
• Transportation Safety
• Driver Behavior
• +۱۲ مورد دیگر

Nichole L Morris is a Research Associate Professor in the Department of Mechanical Engineering at the University of Minnesota, College of Science and Engineering. Her work lies at the intersection of human factors, transportation systems, and safety engineering, with a strong emphasis on driver and pedestrian behavior in real-world and simulated environments. Her research interests include human factors in automated driving systems (particularly Level 2 automation), pedestrian accessibility and safety—especially for individuals with disabilities—work zone safety, snowplow alert systems, and augmented reality applications in roadway environments. She also investigates medical training procedures, such as combat tourniquet application, reflecting interdisciplinary applications of human performance analysis. The most recent publications highlight a consistent focus on driver behavior under novel conditions, including interactions with automated vehicles, responses to specialized infrastructure like J-turns and snowplow lighting, and usability of augmented reality tools for work zones. These works span high-impact journals in transportation and ergonomics, indicating strong scholarly engagement. Dr. Morris serves as Principal Investigator on numerous active projects funded by the Minnesota Department of Transportation, National Highway Traffic Safety Administration, and Metro Transit Commission. These grants support research on crosswalk accessibility, driver readiness in automated systems, customer experience in public transit, and next-generation auditory alerts for snowplows. Her collaborative network includes researchers from Virginia Tech and interdisciplinary teams at the University of Minnesota. She has contributed two datasets to the University of Minnesota Data Repository, one on work-zone messaging in driving simulations and another on sound localization for bicycle alarms, supporting open science. She has also provided expert commentary in media discussions on traffic safety and policing.

Timothy Robert Merrittمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Human-Robot Interaction
• Human-Centered Computing
• +۶ مورد دیگر

Timothy Robert Merritt is an Associate Professor at Aalborg University's Technical Faculty of IT and Design , Department of Computer Science. His research bridges Artificial Intelligence , Human-Robot Interaction , and Human-Centered Computing with a focus on enhancing wellbeing and designing playful, sustainable technologies. His work spans autonomous systems, shape-changing interfaces, and applications of AI in creative practices. PhD in Integrative Sciences and Engineering (2012) from National University of Singapore Research interests include: Generative AI in design and critical reasoning Autonomous Systems (drones, robots) for search and rescue Human-AI Collaboration in multi-robot environments Interactive Systems for education and health Sustainable Technology through digital fabrication and art-science fusion Recent publications address Generative AI in design research, auditory interventions for driver safety, and trust in multi-drone interfaces. He leads and collaborates on projects like NAMUR (Natural-language Assisted Multi-robot Interaction) and HERD (Human-AI Collaboration with Drone Swarms). He organized the Aalborg Robotics Challenge Workshop (2024) and has been featured in media for public demonstrations with celebrities like Will Smith and Rick Astley. His work involves grants such as the ERASMUS+ funding for robotics and sustainability initiatives.