جست‌وجوی استاد و پژوهشگر

Ashraf Matrawyمشاهده پروفایل

استاد

• Network Security
• Software Defined Networking (SDN)
• 5G Security
• +۶ مورد دیگر

Dr. Ashraf Matrawy is a Professor at the School of Information Technology, Carleton University, with cross-appointments in Systems and Computer Engineering and the School of Computer Science. He is a Senior Member of IEEE and serves on editorial boards for IEEE Communications Surveys & Tutorials and Security and Privacy Journal (Wiley). Smart Cybersecurity Network (SERENE-RISC) Network Co-Investigator Technical Program Committee member for IEEE CNS, ICC, Globecom, LCN, and CCGRID Research Interests: His work focuses on reliable and secure computer networking, software-defined networking (SDN), 5G security, IoT security, threat modeling, security techniques in virtualized networks, and location verification. Recent projects include adversarial machine learning in network security, DDoS mitigation in 5G slicing, and security-aware network function sharing. Scientific Awards: 2023 IEEE CNS Best Poster Runner-up 2022 Carleton University Research Award ($15,000) 2021 IEEE Ottawa Outstanding Engineering Educator Award 2020 IEEE ISNCC Best Paper Award 2019 IEEE WISEE Best Poster Award Advising & Grants: He has supervised over 10 graduate students and secured funding from NSERC, TELUS, and SERENE-RISC for projects on 5G security, IoT, and network virtualization. Current research group (NGN Lab) explores dynamic adversarial training, slice allocation in 5G, and security evaluation metrics.

• Computer Science
• Health Economics
• Emergency Medicine
• +۳ مورد دیگر

Robin Buter is an External PhD Candidate in the Industrial Engineering & Business Information Systems department, focusing on optimizing automated external defibrillator (AED) placement using algorithms and data-driven approaches. Research Interests Cost-effectiveness analysis in healthcare Algorithmic optimization for medical resource allocation Spatial risk modeling for emergency response Volunteer responder systems Health economic evaluation of medical devices Scientific Awards ORAHS Gallivan Poster Award, First Place (Supervision), 2022 Best of the Best Presentation Award, Finalist, European Resuscitation Conference, 2022 Best of the Best Presentation Award, Finalist, European Resuscitation Conference, 2023 Collaborations and Research Trends Robin Buter's work intersects with Computer Science , Health Economics , and Emergency Medicine . His research on AED location optimization employs algorithmic approaches , spatiotemporal analysis , and case studies , with collaborations including Dr. Demirtas, Dr. Koffijberg, and Dr. Hans. His publications emphasize integer programming , problem instances , and healthcare management science applications.

• Computer Engineering
• Network Performance
• Network Security
• +۳ مورد دیگر

Xiaoqi Danny Chen is an Assistant Professor in the School of Electrical and Computer Engineering at Purdue University, located in West Lafayette. His office is in BHEE 327. He focuses on algorithm design for high-speed programmable network switches and SmartNICs to enhance network performance, security, and measurement. His primary research area is Computer Engineering. Research interests include optimizing network infrastructure through algorithmic advancements, with a focus on programmable hardware solutions. His work bridges theoretical algorithm design with practical network hardware implementation, targeting applications in high-throughput computing environments. No academic awards, grants, or advised students are explicitly mentioned in the provided information. No specific lab affiliations or collaborative teams are listed.

Sunil K. Prabhakarمشاهده پروفایل

استاد

• Database Systems
• Data Management
• Uncertain Data
• +۴ مورد دیگر

Sunil K. Prabhakar is a Professor of Computer Science at Purdue University, currently serving as the Vice Provost for Faculty Affairs and former Department Head. He holds a PhD from the University of California, Santa Barbara, and a BTech from the Indian Institute of Technology, Delhi. Education: PhD, Computer Science, University of California, Santa Barbara, 1998 MS, Computer Science, University of California, Santa Barbara, 1998 BTech, Electrical Engineering, Indian Institute of Technology Delhi, 1990 Research Interests: Focuses on database systems, uncertain data management, cloud database integrity, sensor databases, and digital rights management. His work emphasizes developing systems for probabilistic data, ensuring authenticity in outsourced databases, and scalable solutions for multimedia and sensor applications. Grants & Projects: NSF Grant IIS-1017990: Ensuring Integrity of Outsourced Databases NSF Grant IIS-09168724: Uncertain Data Management Students & Advising: Advised over 15 PhD and MS students, including Ryan Rossi (Palo Alto Research Center), Rohit Jain (Google), and Reynold Cheng (University of Hong Kong). Labs & Teams: Involved in projects like the ORION uncertain data management system, the C4E4 environmental cyberinfrastructure initiative, and collaborations with industry (e.g., Naval Surface Warfare Center).

Wei Wuمشاهده پروفایل

دانشیار

• Chinese Religions
• Buddhist Modernism
• Religious Transmission
• +۲ مورد دیگر

Dr. Wei Wu is an Associate Professor in the Department of Religion at Emory University. Her research focuses on Chinese Buddhism, religious transmission, religion and gender, and interactions between Buddhism and Daoism. She is preparing a book manuscript analyzing the indigenization of Tibetan Buddhism in 20th-century China, emphasizing cross-cultural religious dynamics. Education: PhD in Religion, Princeton University, 2017 MA in Religion, The University of Hong Kong, 2009 BA in Religion, Peking University, 2005 Research Interests: Dr. Wu explores religious transmission mechanisms, particularly how Tibetan and Chinese Buddhist interactions shaped modern China's religious landscape. Her work also examines religion's role in gender and ecological contexts. She teaches courses on East Asian Buddhism, Zen Buddhism, and Chinese indigenous religions. Publications: Her 2024 Columbia University Press book Esoteric Buddhism in China analyzes early 20th-century Buddhist exchanges. Concurrently, she contributed to adversarial robustness research in computer science through graph convolutional networks. Affiliations: Office located at S202 Callaway Memorial Center, Emory College of Arts and Sciences.

Shixun Huangمشاهده پروفایل

مدرس

• Data Mining
• Machine Learning
• Algorithm Design
• +۳ مورد دیگر

Dr. Shixun Huang is a Lecturer in the School of Computing and Information Technology at the University of Wollongong, Australia. He holds a PhD from RMIT University and specializes in data mining, machine learning, and optimization algorithms for high-dimensional data problems. His research develops efficient algorithms for data discovery, similarity search, and network analysis. Current projects focus on optimized data acquisition strategies for machine learning, cost-effective labeling for graph neural networks, and cardinality estimation in high-dimensional databases. Methodologically, he combines combinatorial optimization with machine learning techniques. Dr. Huang supervises graduate research on diffusion models for medical imaging, graph prompt learning, and image captioning systems. His honors include multiple best paper awards at top database conferences and recognition for teaching excellence (College Top Course Award at RMIT). Recent publications address dataset distinctiveness maximization (WWW 2025), high-dimensional similarity search (VLDB 2025), and edge computing optimization (2024). Earlier foundational work established new approaches for influence maximization in social networks and temporal graph representation learning.

• Soft Matter Physics
• Fluid Dynamics
• Surface Science
• +۳ مورد دیگر

Daniel Bonn is a Professor at the Faculty of Science, University of Amsterdam, affiliated with the WZI (Van der Waals-Zeeman Institute for Physics). His research laboratory is located at Science Park 904, room C4.230, with contact email D.Bonn@uva.nl and phone +31 (0)20 525 5887. His research focuses on: Soft Matter Physics Fluid Dynamics Surface Science Granular Materials Colloid Science Biophysics Professor Bonn's experimental work investigates fundamental mechanisms in complex fluid systems, including emulsion stabilization by plant proteins, ice-water interfacial phenomena, and aerosol dynamics. His recent publications demonstrate strong interdisciplinary connections between fundamental physics and applications in environmental science (indoor air pollution mitigation), biotechnology (lung surfactant preservation), and agriculture (pesticide delivery optimization). The integration of high-speed imaging, rheological characterization, and fluorescence microscopy enables novel insights into interfacial dynamics across multiple scales.

Anulipt Chandanمشاهده پروفایل

مدرس

• Blockchain Technology
• Sustainability
• Renewable Energy
• +۶ مورد دیگر

Dr. Anulipt Chandan is a Lecturer in the School of Civil and Mechanical Engineering at Curtin University, located on the Curtin Perth campus. He holds a PhD in Sustainable Engineering, M.Tech in Electrical Engineering, and B.Tech in Electronics Engineering. His roles include contributing to the Faculty of Science and Engineering and serving in the Office of the Provost. Dr. Chandan's research focuses on interdisciplinary areas including blockchain technology, sustainability in energy systems, smart grid innovations, supply chain traceability, and materials science. His work bridges electrical engineering with emerging technologies, addressing challenges in renewable energy integration, failure analysis of materials, and achieving UN Sustainable Development Goals (SDGs) through blockchain applications. His publications span from materials science studies on alloy steels and nanocrystalline structures to blockchain frameworks for supply chain transparency and energy management systems. He has taught courses such as 'Renewable Energy Principles,' 'Sustainability and Renewable Energy,' and 'Ethics and Sustainability in Engineering.' Dr. Chandan’s research emphasizes practical solutions for global sustainability challenges, leveraging his expertise in both technical and socio-economic dimensions of innovation.

Florentin Rochetمشاهده پروفایل

استادیار

• Anonymous Communication
• Network Security
• Transport Protocols
• +۵ مورد دیگر

Florentin Rochet is an Assistant Professor at the University of Namur's Faculty of Computer Science. His research focuses on anonymous communication , network security , and encrypted transport protocols , with a particular emphasis on improving privacy-enhancing technologies and protocol design. He holds a PhD in Applied Cryptography and has contributed to projects like TCPLS (TCP/TLS integration) and CLAPS (Tor path selection). Key academic milestones include joining UNamur in 2022 as an Assistant Professor, completing a postdoc at the University of Edinburgh (2021), and serving on program committees for Usenix Security, ACM CCS, and PoPETs. He has received the Usenix Security Noteworthy Reviewer Award (2023) and the 2020 Alan Berman Research Publication Award. His research spans flexible anonymous networks , secure transport protocols , and authentication technologies , with notable work on improving Tor's resilience against attacks through location-aware path selection and enhancing TLS/TCP integration for modern networks. He also leads a research group exploring eBPF security and WebAssembly runtime protections. Teaching responsibilities include computer security and privacy courses, with a 6-year teaching assistant position involving bachelor's/master's instruction and PhD supervision. His lab focuses on applied cybersecurity, network protocol innovation, and privacy-preserving systems design.

Vincent J Ervinمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Mathematics
• Partial Differential Equations
• +۵ مورد دیگر

Vincent J. Ervin is a Professor of Mathematical Sciences at Clemson University's College of Science, located in Martin Hall. His academic journey includes a PhD from Georgia Institute of Technology in 1984. He specializes in numerical analysis, computational mathematics, and partial differential equations with focuses on fluid dynamics, fractional calculus, and viscoelastic systems. University: Clemson University College/School: College of Science Department: Mathematical and Statistical Sciences His research emphasizes fractional diffusion equations , viscoelastic fluid flow , and coupled Stokes-Darcy systems . Notable contributions include: Numerical methods for axisymmetric elasticity equations Stability analysis of fractional advection-diffusion systems Modeling fluid-structure interactions in biomedical applications (e.g., ocular pressure) Publications span topics from spectral approximations for fractional PDEs to error estimation in viscoelastic flows. His work bridges theoretical analysis with computational implementations, often employing finite element methods and stabilized formulations.

Lauri Goldkindمشاهده پروفایل

استاد

• Artificial Intelligence in Social Work
• Data Science for Social Services
• Ethical Use of Technology in Human Services
• +۳ مورد دیگر

Lauri Goldkind is a Professor at the Graduate School of Social Service, Fordham University, located at Fordham Westchester. Their work focuses on the intersection of artificial intelligence (AI), technology, and social work, with an emphasis on ethical integration, data justice, and the impact of AI on human services organizations. Education details are not explicitly provided in the available text, but as a Professor in Social Service, it is typical to hold a doctoral degree, likely in Social Work or a related field. Goldkind’s research interests revolve around the ethical and practical implications of AI in social work and human services. Key areas include the responsible integration of AI technologies, data science applications in nonprofit sectors, tele-mental health practices, and promoting social justice through technology. Their work also addresses challenges such as bias in AI, data privacy, and the role of technology in advocacy. Recent publications explore topics such as AI’s impact on clinical social work, ethical considerations in AI implementation, and the use of large language models in mental health. Goldkind also examines the intersection of technology and social justice, including data labor in human services and the platform economy’s influence on social work. No information on scientific awards, advising students, or grants is provided in the available text. Their work often emphasizes interdisciplinary collaboration and the adaptation of social work practices to digital realities, including platform-based advocacy and data-driven decision-making. Labs or teams are not explicitly mentioned in the provided materials, but their research aligns with Fordham’s commitment to social justice and innovation in human services.

• Human factors
• human-robot interaction
• human-in-the-loop systems
• +۵ مورد دیگر

Jing Yang serves as an Assistant Professor in the Department of Industrial and Systems Engineering within the School of Engineering and Applied Sciences at the University at Buffalo, focusing on human-centered intelligent systems and automation technologies. Education PhD in Industrial Engineering from Purdue University (2023) Research Interests Dr. Yang's work centers on optimizing human-machine collaboration through human factors engineering and cognitive modeling , with specific expertise in human-robot interaction for surgical environments and adaptive automation systems. Her research integrates artificial intelligence to model human behavior in complex operational settings, particularly advancing robotic-assisted surgery and human-in-the-loop control frameworks where real-time human input shapes system performance. Contact Location: 319 Bell Hall, Buffalo, NY 14260 Phone: (716) 645-4715 Email: jyang96@buffalo.edu

Roshan Ayyalasomayajulaمشاهده پروفایل

استادیار

• Wireless Systems
• Machine Learning
• Internet of Things (IoT)
• +۵ مورد دیگر

Roshan Ayyalasomayajula is an Assistant Professor in the Department of Computer Science and Engineering at the State University of New York's School of Engineering and Applied Sciences. His research focuses on wireless systems, machine learning, and IoT applications at the intersection of wireless sensing and robotics. He holds a PhD in Electrical and Computer Engineering from the University of California, San Diego (2023), following an MS from the same institution in 2019. His work emphasizes designing scalable and reliable systems to bridge the digital and physical worlds, with notable contributions including Bluetooth localization protocols incorporated into the BLE5.1 standard and collaborations with Cisco DNA-Spaces for indoor localization systems. Dr. Ayyalasomayajula’s research spans WiFi-based SLAM optimization, UWB tag tracking, and privacy-preserving wireless systems. Key research areas include resource-efficient localization algorithms, adversarial network security, and deep learning applications in acoustics and robotics. His projects address challenges in indoor navigation, edge computing, and cross-platform sensor fusion. His publications highlight advancements in WiFi and UWB systems, privacy mechanisms for wireless devices, and novel multi-task learning approaches. He actively contributes to both theoretical and applied research in wireless communication protocols and IoT architectures.

Michelle Gaitherمشاهده پروفایل

دانشیار

• Marine biology
• Ichthyology
• Genomics
• +۷ مورد دیگر

Michelle Gaither is an Associate Professor at the University of Central Florida in the Department of Biological Sciences within the College of Sciences . Her research focuses on marine evolutionary ecology, particularly the formation of species through geographic isolation, ecological differentiation, and selection in deep-sea and coral reef fish lineages. Research Areas : Marine biodiversity, ichthyology, genomics, population genetics, eDNA applications Key Techniques : Genome sequencing, RADSeq, field-based studies, biogeographic modeling The Gaither Lab investigates how species form in marine environments, with projects on deep-sea grenadiers , hawkfishes , and surgeonfishes . They also pioneer eDNA as a biogeographic tool to assess biodiversity patterns and anthropogenic impacts on marine ecosystems. Recent publications highlight her lab’s work on: Environmental DNA optimization for invasive species detection (2025) Larval dispersal dynamics in South Pacific archipelagos (2025) Biogeographic barriers in tropical marine fish genetics (2024) Metadata curation challenges in global genetic diversity surveillance (2023) Her lab was recognized in UCF’s 2024 Founders’ Day Faculty Honors , and her students have received accolades like the Outstanding Student Presentation Award at the Indian River Lagoon Symposium (2024). Collaborative projects span global locations including the Arabian Peninsula , Chagos Archipelago , and Hawaiian Archipelago . Lab members include doctoral candidate Ashley Reaume (bioassessment toolkit), graduate students Samuel Greaves and Michelle Shaffer, and undergraduates Hillary Quach and Nadia Barsis. They employ interdisciplinary methods such as phylogenetics , coalescent modeling , and stable isotope analysis to address evolutionary questions.

Nadine Rüppelمشاهده پروفایل

پژوهشگر

• Biogas Technology
• Microbial Metabolism
• Anaerobic Digestion
• +۳ مورد دیگر

Nadine Rüppel is a Researcher at the Institute of Microbiology, part of the Faculty of Natural Sciences at Leibniz University Hannover. Her work focuses on understanding microbial metabolism and active taxa in maize-fed biogas plants, particularly analyzing process instability and early indicators of system failure. She employs techniques like RNA-stable isotope probing (RNA-SIP) and mRNA-SIP alongside LC-MS/GC analyses to trace metabolic pathways and microbial activity. Her research addresses the anaerobic degradation of organic substrates, aiming to optimize biogas production efficiency through insights into microbial community dynamics. Key topics include 13C-labeled substrate tracing, acidification impacts, and metabolic flux monitoring. While no specific awards or grants are listed, her contributions advance sustainable energy systems and environmental microbiology. Located at Herrenhäuser Straße 2 in Hannover, she collaborates within interdisciplinary teams at the Institute, contributing to lab-scale biogas experiments and process stability research.