جست‌وجوی استاد و پژوهشگر

• Psychopathology
• Posttraumatic Stress Disorder
• Systematic Reviews
• +۶ مورد دیگر

Bruno Messina Coimbra is a Researcher at Utrecht University's Faculty of Social and Behavioural Sciences, Department of Methodology and Statistics. He collaborates with Professor Rens van de Schoot on the development of ASReview and leads the FORAS project (Fully Open-source and Real-time AI-aided Systematic Literature Screening in Inclusive Databases). His work bridges methodology, statistics, and mental health research with a particular focus on trauma and PTSD. Dr. Coimbra holds a doctoral degree in Psychiatry and Medical Psychology. Previously, he served as research manager in the Program of Research and Care on Violence and PTSD at the Federal University of São Paulo (UNIFESP), where he investigated trauma effects on neuroprogression and adapted psychotherapeutic techniques for sexual assault survivors. His professional background includes extensive work with marginalized communities in disadvantaged regions of São Paulo. His research interests center on psychopathology, particularly Posttraumatic Stress Disorder (PTSD), with expertise in systematic reviews, meta-analysis, and telomere research as a biological mechanism for health disparities related to psychosocial stressors. He has made significant contributions to understanding moral injury among healthcare workers during the pandemic, the relationship between tonic immobility and PTSD development, and the impact of racial discrimination on mental health outcomes. His recent work integrates artificial intelligence with systematic review methodology to enhance research efficiency. Dr. Coimbra's publication record demonstrates a consistent focus on trauma-related mental health, with recent work expanding into AI-assisted literature screening methodologies. His research spans clinical investigations with sexual assault survivors, cross-cultural validation of assessment tools, genetic and epigenetic factors in PTSD, and the mental health impacts of the COVID-19 pandemic. The FORAS project represents his commitment to developing open-source tools that democratize access to advanced research methodology. Dr. Coimbra actively collaborates across international boundaries, working with institutions including RadboudUMC, UNIFESP, Umeå University, and NorthWest University in South Africa. His work with the Global Collaboration on Traumatic Stress and projects examining moral injury in healthcare workers demonstrates his commitment to addressing pressing mental health challenges on a global scale. He has contributed significantly to validating assessment tools like the Global Psychotrauma Screen in diverse populations. Based at the Sjoerd Groenman Building at Utrecht University, Dr. Coimbra leads research teams focused on AI-assisted systematic reviews and trauma research. His FORAS project team is developing innovative open-source tools to enhance literature screening processes, while his clinical research teams continue to investigate PTSD trajectories and treatment outcomes, particularly among vulnerable populations including sexual assault survivors and healthcare workers.

Musard Balliuمشاهده پروفایل

دانشیار

• Computer Security
• Programming Languages
• Formal Methods
• +۹ مورد دیگر

Musard Balliu is an Associate Professor at the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology in Stockholm, Sweden. He works in the Division of Theoretical Computer Science and leads the LangSec (Language-Based Security) research group. His research interests span multiple aspects of computer security, including: Information flow control Web and mobile application security IoT security Low-level security Program analysis and verification Logics in security contexts His recent publications focus on cutting-edge security challenges, with particular emphasis on JavaScript security (prototype pollution vulnerabilities), IoT platform security, database security, and formal methods for security verification. His work often bridges theoretical foundations with practical security solutions, addressing real-world security concerns in emerging technologies like IoT and modern web applications. His notable awards include: Best Reviewer Award at CCS 2022 Google Research Scholar Award in 2022 Facebook Award in Privacy-Enhancing Technologies in 2021 Dr. Balliu actively mentors students in the LangSec group, supervising both current students and recently graduated PhD candidates. He serves as Principal or Co-Principal Investigator on multiple research projects funded by prestigious organizations including Digital Futures, WASP, VR, and SSF, with a focus on next-generation security solutions for IoT, software supply chains, and cloud computing. He is also involved in various cybersecurity initiatives including the Swedish National Hacking Team (as co-founder and SC representative for Sweden), CDIS Cybercampus Sverige, and Digital Futures, demonstrating his commitment to advancing cybersecurity education and practice beyond academic research.

Afsaneh Raziمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Social Computing
• Human-centered AI
• +۶ مورد دیگر

Afsaneh Razi is an Assistant Professor at the Department of Information Science at Drexel University's College of Computing & Informatics (CCI), where she co-directs the DONUTS (Data Ontology Networks Users Textuality Safety) Collaboratory and directs the ETHOS (Ethical Technology Helping Our Society) Lab. Her research is positioned at the intersection of Human-Computer Interaction (HCI), Social Computing, AI/ML, Privacy, and Online Safety, with a focus on designing technologies that facilitate safer online interactions, especially for vulnerable populations. Education: PhD, Computer Science, University of Central Florida MS, Computer Science, University of Central Florida MS, Software Engineering, Islamic Azad University Central Tehran Branch BS, Computer Science, University of Tehran Dr. Razi's research focuses on the sociotechnical complexities of online harms, leveraging human-centered machine learning to understand and mitigate risks encountered by vulnerable users online. Her work spans Human-Computer Interaction with emphasis on youth populations, Social Computing examining online communities, AI/ML applications for safety, and Ethics in technology design. She is particularly interested in how AI can balance protection and privacy for young people on social media, and how to develop trauma-informed research practices when studying sensitive topics. Her recent publications consistently focus on youth online safety, examining sexual risk experiences, AI-induced harassment, and AI's role in peer support. The research employs mixed methods combining qualitative insights with machine learning approaches, with significant attention to Instagram and other social media platforms to understand how young people navigate online risks through human-centered AI solutions. Scientific Awards: Impact Recognition Award (2023) for 'Sliding into My DMs' paper Best Paper Honorable Mention at CHI'24 (two papers) Faculty Summer Research Award at Drexel University (2023) Science Center Health Equity Research Fellowship Award (2023) NSF CSGrad4US Fellowship for mentee Jessica Medina (2023) Dr. Razi actively mentors PhD students in the DONUTS Collaboratory, including Elham Aghakhani, Layla Bouzoubaa, Sanonda Datta Gupta, Matt Namvarpour, and Aria Pessianzade. She has secured multiple research grants, including Drexel's Faculty Summer Research Award to investigate AI's role in teens' online safety and the Science Center Health Equity Research Fellowship for studying social determinants of health for people with epilepsy. Her research is highly interdisciplinary, collaborating with experts across psychology, medicine, and computer science. Dr. Razi co-directs the DONUTS Collaboratory with Drs. Shadi Rezapour and John S. Seberger, which brings together faculty and PhD students to research online safety, ethics, and AI governance. She also directs the ETHOS Lab focused on ethical technology development. The DONUTS team includes multiple PhD students working on projects related to harm reduction, NLP, social computing, AI, and online safety. Dr. Razi is additionally involved in the MOSafely community, an open-source initiative leveraging evidence-based research and AI to help youth engage more safely online.

Robert Nichollsمشاهده پروفایل

استاد

• Coastal Engineering
• Climate Change Adaptation
• Sea-Level Rise
• +۳ مورد دیگر

Robert Nicholls is a Professor of Coastal Engineering at the University of Southampton , affiliated with the School of Engineering and the School of Ocean and Earth Sciences . He co-directs the MSc Engineering in the Coastal Environment and leads the Coastal Engineering and Management research group. Theme Champion, Society and Government at Southampton Marine and Maritime Institute Southampton Lead, Tyndall Centre for Climate Change Research Editorial Board, Anthropocene Coasts His research focuses on long-term coastal engineering and climate change adaptation , particularly sea-level rise and deltaic area vulnerability . Key projects include the Bangladesh Delta Plan 2100 and the development of the DIVA (Dynamic Interactive Vulnerability Assessment) model for global coastal risk analysis. Recent publications address compound flooding , coastal landfill risks , and adaptation frameworks for deltas . His work informs international policy through contributions to the IPCC , World Bank , and Asian Development Bank . Award Highlights: Roger Revelle Medal (2008) by UNESCO's Intergovernmental Oceanographic Commission Lloyd’s Science of Risk Prize (2012) for climate change research Robert leads major initiatives like the iCOASST Project and ESPA Delta Studies , while supervising PhD students in coastal resilience and flood management.

Cheryl J. Hapkeمشاهده پروفایل

استاد پژوهشی

• Coastal Geology
• Sea-Level Rise Adaptation
• Coastal Hazards
• +۶ مورد دیگر

Cheryl J. Hapke is a Research Professor at the University of South Florida's College of Marine Science, specializing in coastal geology. She holds a Ph.D. in Coastal Geology and serves as Coordinator for the Florida Coastal Mapping Program, an initiative to deliver high-resolution bathymetric data across Florida's coastal waters within a decade. Her research addresses coastal hazards like inundation, storms, and erosion through geomorphic evolution studies of barrier islands, rocky coasts, and estuarine systems. Academic Rank: Research Professor University: University of South Florida School: College of Marine Science Role: Coordinator, Florida Coastal Mapping Program Dr. Hapke's work emphasizes probabilistic frameworks for forecasting coastal resilience, leveraging multibeam bathymetry and LiDAR technologies. Her research spans global coastal systems, with a focus on Fire Island (NY), Tampa Bay (FL), and the California coast, addressing sediment budgets, shoreline change, and storm impacts. The Florida Coastal Mapping Program supports applications in navigation, restoration, fisheries management, and community resilience planning. Dr. Hapke's recent publications highlight advancements in bathymetric data collection, morphodynamic modeling, and coastal hazard adaptation tools. Her interdisciplinary approach integrates remote sensing, historical data, and numerical models to understand coastal vulnerabilities and inform policy decisions.

Purushotham V. Bangaloreمشاهده پروفایل

استاد

• High-Performance Computing
• Parallel Computing
• Distributed Systems
• +۷ مورد دیگر

Dr. Purushotham V. Bangalore serves as the James R. Cudworth Professor in the Department of Computer Science at the University of Alabama's College of Engineering and holds the position of Associate Director for the Center for Understandable, Performant Exascale Communication Systems (CUP-ECS), a Predictive Science Academic Alliance Program (PSAAP) Focused Investigatory Center. His academic credentials include: B.E. in Computer Science and Engineering from Bangalore University (1991) M.S. in Computer Science from Mississippi State University (1995) Ph.D. in Computational Engineering from Mississippi State University (2003) Dr. Bangalore's research centers on High-Performance Computing (HPC) with emphasis on designing abstraction layers for heterogeneous architectures, predictive performance modeling, and portability. His work extends to fault-tolerant message-passing middleware, exascale storage security, and reliability frameworks. Additional expertise spans data analytics, object-oriented numerical libraries, grid computing environments, and adaptive systems development through three decades of HPC and cloud computing innovation. Analysis of his 2021-2025 publications reveals dominant themes in HPC security architecture, containerization for scientific workloads, and MPI communication advancements. Key application areas include hydrological modeling (NextGen framework), GPU-accelerated communication protocols, and data provenance systems for exascale platforms, reflecting interdisciplinary approaches to computational challenges. Dr. Bangalore has secured approximately $20 million in research funding as PI/Co-PI from NSF, NIH, DoE, and industry partners, resulting in over 90 peer-reviewed publications. His academic service includes editorial roles for IEEE Transactions on Parallel and Distributed Systems, MPI Forum contributions to the MPI-4.0 standard, and organization of DoD-sponsored HPC training workshops. He leads research initiatives through CUP-ECS while maintaining active participation in the MPI Forum. His team develops frameworks for exascale communication systems with focus on security posture analysis, performance portability, and fault tolerance in next-generation computing environments.

• Cybersecurity
• Critical Infrastructure Protection
• Cyber-Physical Systems
• +۴ مورد دیگر

Stephen Dirk Bjørn Wolthusen is a Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Information Security and Communication Technology. He is based in Gjøvik, Norway, and his work focuses on cybersecurity, critical infrastructure protection, and cyber-physical systems. His research spans network topology, smart grids, formal methods, and privacy in IoT systems, with a particular emphasis on security vulnerabilities and resilience in resource-constrained environments. His recent publications address hierarchical information overlays, adversarial pathways in smart grids, and formal methods for securing cyber-physical systems. His work frequently appears in journals and conferences such as IFIP Advances in Information and Communication Technology , Lecture Notes in Computer Science (LNCS) , and IEEE conference proceedings . Topics include adversary models, queueing networks, access control, and policy enforcement in tactical and industrial contexts.

Ghassan Karameمشاهده پروفایل

استاد

• Blockchain Security
• Machine Learning Security
• Platform Security
• +۳ مورد دیگر

Prof. Dr. Ghassan Karame is a Full Professor of Computer Science at the Ruhr-University Bochum , leading the Chair for Information Security. He is a Principal Investigator in the Cluster of Excellence CASA and Director of the Horst Goertz Institute for IT Security since October 2023. Additionally, he serves as a part-time Chief Scientific Advisor at NEC Laboratories Europe . His research focuses on blockchain security and privacy , platform/storage security , and machine learning security . He has contributed to improving cryptocurrency protocols, hardware-assisted secure systems, and decentralized trust mechanisms. Education : PhD in Computer Science from ETH Zurich (2011) His recent work explores federated learning security, side-channel attacks in TEEs, and practical blockchain scalability solutions. He has served on over 50 program committees and held editorial roles at IEEE TDSC and IEEE TIFS. Notable Awards : 2024 Outstanding Editorial Board Member Award (IEEE Signal Processing Society) 2020 Value Realization Award (NEC) 2019 IEEE TC Best Paper Award Degree among top 2% authors (Stanford-Elsevier) His teaching includes courses on systems security, blockchain security, and practical ML security, with thesis projects in blockchain, ML, and platform security. He leads the Information Security Chair , part of major research initiatives like CASA and HGI.

Thomas Claußمشاهده پروفایل

استاد

• Innovation Management
• Digital Transformation
• Family Business Dynamics
• +۵ مورد دیگر

Thomas Clauß is Professor and WIFU Endowed Chair for Corporate Entrepreneurship and Digitalization in Family Businesses at the University of Witten/Herdecke's Faculty of Business and Society. He serves as Vice Dean for Research and Adjunct Professor for Business Model Innovation at the University of Southern Denmark. Education Diplom in Wirtschaftsingenieurwesen (summa cum laude), University of Kassel (2008) Dr. rer. pol., University of Hamburg (2012) Postdoctoral habilitation-equivalent evaluation (2016) Research Focus His work examines digital transformation, business model innovation, and sustainability in SMEs and family businesses. Current projects analyze AI adoption, cybersecurity challenges, and startup collaboration in family firms, while his book projects address family businesses and UN Sustainable Development Goals. Award Highlights 2024: IEEE TEM Best Publication Award 2023: Schulze Publication Award 2022: Best Paper on IFERA Conference Theme 2017: Best Young Researcher Award Academic Leadership He co-edits the International Journal of Entrepreneurial Behavior and Research , contributes to editorial boards, and organizes R&D Management conference sessions on SME innovation dilemmas. His teaching includes Digital Transformation of Organizations, Business Model Innovation, and Strategic Entrepreneurship at multiple institutions.

• Comparative Health Care Systems
• Health Inequalities
• Reimbursement Schemes
• +۲ مورد دیگر

Alberta Maria Carlotta Spreafico serves as a Government, Health and Not for Profit Fellow at SDA Bocconi School of Management , Bocconi University. Her work focuses on health policy, digital innovation, and care systems. Research Interests: She specializes in comparative health care systems, digital health solutions, and integrated care models. Her research addresses health inequalities, reimbursement schemes, and transitional care frameworks. Publication Trends: Recent articles explore digital therapies, telemedicine applications, and multidimensional value analysis in healthcare. These works emphasize technology's role in addressing fragility and enhancing stakeholder value through digital platforms. Contact: Email: alberta.spreafico@sdabocconi.it

Yuzhu Liمشاهده پروفایل

استاد

• Digital Transformation
• Blockchain
• No-code/Low-code Development
• +۷ مورد دیگر

Dr. Yuzhu Li is a Professor at the Department of Decision & Information Sciences , Charlton College of Business , University of Massachusetts Dartmouth . Her expertise spans Digital Transformation , Blockchain , Information Systems Development , and Project Management . She teaches courses in Customer Analytics , Business Analytics , and Agile Development , emphasizing CRM strategies , Data Mining , and Information Visualization . PhD in Business Administration, University of Central Florida (2008) Master of Technology Management , Washington State University (2002) BA in Information Systems , Nankai University (1999) Her research focuses on Emerging Technologies like blockchain and AI, Behavioral Project Management , and E-commerce frameworks. Key themes include Team Resilience , Control Systems in Interorganizational Teams , and Digital System Security , with recent articles analyzing Bitcoin vulnerabilities and collaborative project governance. Dr. Li serves as Treasurer of the New England Association of Information Systems Chapter, an Editorial Review Board Member of the Project Management Journal, and Associate Editor of the Nankai Business Review International. She actively contributes to the academic community through roles in international conferences and editorial committees.

• Embedded Systems
• Hardware/Software Co-design
• Energy-efficient AI Accelerators
• +۷ مورد دیگر

Oliver Bringmann is a full Professor and head of the Chair of Embedded Systems at the University of Tübingen, Germany, and a member of the board of directors at the FZI Research Center for Information Technology. His research integrates embedded-system design, energy-efficient AI accelerators, dependable automotive perception, and medical AI for capsule endoscopy. Education & Career Ph.D. in Computer Science, University of Tübingen, 2001 Diploma in Computer Science, University of Karlsruhe (KIT) Head, Chair of Embedded Systems, University of Tübingen (since 2012) Deputy spokesperson & spokesperson, Dept. of Computer Science, University of Tübingen (2014-2022) Board of Directors, FZI Research Center for Information Technology Research Interests Bringmann’s group pioneers hardware/software co-design for ultra-low-power Edge-AI , developing RISC-V based accelerators, compiler-aware neural-architecture search, and real-time perception systems for autonomous driving and medical devices. Key topics include: Energy-efficient AI architectures (“Edge AI”) and custom accelerator generation Robust collective perception under adverse weather (LiDAR, camera, V2X fusion) Timing/power-predictable embedded software and system-on-chip design automation Hardware-assisted security and safety for automotive & IoT systems AI-driven capsule endoscopy localization and anomaly detection Recent Publication Trends His 2024-2025 articles reveal a strong shift toward robust multimodal perception for automated driving (snow, fog, collective LiDAR fusion) and Edge-AI medical devices (capsule endoscopy with multi-task CNNs). Core contributions span dataset generation (SCOPE, SnowyLane), safety metrics (LSM), and fast performance modeling for DNN accelerators. Professional Service & Projects Executive/Steering Committees: IEEE/ACM DATE, CODES+ISSS, CASES, ITSS conferences EU CATRENE EDA roadmap chapter lead (Embedded Software & ESL-to-RTL) Principal investigator in Scale4Edge, OCEAN12, enerDAG and other national projects on energy-efficient sensorics and secure energy trading. His group maintains extensive collaborations with automotive and semiconductor industry, focusing on dependable, energy-aware embedded intelligence.

• Software Engineering
• Formal Methods
• Software Architectures
• +۷ مورد دیگر

Patrizia Scandurra is an Associate Professor at the Department of Management, Information and Production Engineering, University of Bergamo, Italy. Her academic appointment in Computer Science (01/B1) spans from 2022 to 2033. She previously held roles as a researcher at the University of Bergamo (2009-2017) and postdoctoral fellow at the University of Milan (2006-2008). She earned her PhD in Computer Science (2006) and Bachelor's degree (2002) from the University of Catania. Research Focus : Software architectures and formal methods for modeling, validation, and verification of software-intensive systems. Specializations : Runtime analysis of self-adaptive, autonomous, and uncertain systems including IoT-Edge-Cloud applications, embedded systems, and system-on-chip. Collaborations : STMicroelectronics, Atego, Bialetti, and ENEA. Conference Involvement : Program/organizing committees for ICSE, ASE, ISSRE, ICSA, ECSA, SEAMS@ICSE, ABZ, SA-TTA@SAC, FAACS@ECSA. Research Projects : Model-driven development for robotics, adaptive architectures for pervasive systems, big data in smart cities, and digital twins for medical systems. Notable Contributions : Development of the ASMETA formal method community tools and frameworks for rigorous system design. She has published over 100 peer-reviewed works in international journals and conferences.

Ruzica Piskacمشاهده پروفایل

استاد

• Software Verification
• Security and Applied Cryptography
• Automated Reasoning
• +۴ مورد دیگر

Ruzica Piskac is a Professor of Computer Science at Yale University, where she leads the Rigorous Software Engineering (ROSE) group. She has made significant contributions to the fields of software verification, security, automated reasoning, and code synthesis, focusing on improving software reliability and trustworthiness through formal techniques. Dr. Piskac received her PhD from the Swiss Federal Institute of Technology (EPFL) in 2011, where her dissertation won the Patrick Denantes Prize. Prior to joining Yale, she led an independent research group at the Max Planck Institute for Software Systems in Germany (2012-2013). Her research spans several key areas: symbolic execution for Haskell (G2), privacy-preserving formal methods (PPFM), functional reactive synthesis, verification of configuration files, and analysis of software updates. Her work consistently bridges theoretical formal methods with practical applications in real-world systems. Dr. Piskac's recent publications demonstrate a strong trend toward applying formal verification techniques to emerging challenges including large language models, quantum computing security, legal accountability of automated systems, and cyber-physical systems. Her research increasingly intersects with AI, cryptography, and legal domains while maintaining strong foundations in formal methods. Her scientific achievements have been recognized with numerous prestigious awards: Multiple Amazon Research Awards Yale University's Ackerman Award for Teaching and Mentoring Facebook Communications and Networking Award Microsoft Research Award for the Software Engineering Innovation Foundation (SEIF) Patrick Denantes Prize for her PhD dissertation Dr. Piskac has graduated five PhD students, four of whom have gone on to become assistant professors of computer science. She has served as Program Chair of the 37th International Conference on Computer Aided Verification and is on the Steering Committee of the Formal Methods in Computer-Aided Design conference. She leads the Rigorous Software Engineering (ROSE) group at Yale, which focuses on several key projects including: Symbolic Execution Engine for Haskell (G2) Privacy Preserving Formal Methods (PPFM) Functional Reactive Synthesis Verifications for Configuration Files Analysis of Software Updates and Configuration Files

• Artificial Intelligence in Accounting
• Financial Reporting
• Internal Controls
• +۳ مورد دیگر

Musaib Ashraf serves as an Associate Professor in the Department of Accounting and Information Systems at Michigan State University's Broad College of Business, where his research examines AI's transformative impact on accounting practices and financial reporting systems. His work critically analyzes how automation technologies reshape corporate financial management, focusing on the dual effects of enhanced efficiency versus oversight vulnerabilities. Key investigations include the relationship between AI adoption and internal control environments, the trade-offs between reduced error frequency and increased error severity when human supervision diminishes, and governance implications for financial reporting integrity. This research bridges technical accounting processes with strategic risk management frameworks. His recent publication in the Review of Accounting Studies establishes empirical evidence that while AI accounting software reduces material weaknesses in internal controls, it simultaneously amplifies consequences when errors occur due to withdrawn human oversight. This challenges purely efficiency-driven adoption models and provides data-driven guidance for executives, regulators, and standard-setting bodies navigating AI integration. Professor Ashraf actively addresses student concerns about AI's career implications, advocating for complementary development of technical accounting skills and professional judgment. His outreach emphasizes that automation tools require human oversight to mitigate escalating risks, positioning judgment as increasingly valuable in AI-augmented accounting roles. He identifies critical research limitations due to restricted access to proprietary corporate data, stressing that future breakthroughs depend on formalized partnerships between academia and industry. Such collaborations would enable deeper analysis of AI's operational impacts while mirroring corporate R&D models where knowledge investment ultimately benefits societal stakeholders through improved financial systems.