جست‌وجوی استاد و پژوهشگر

Oliver Hohlfeldمشاهده پروفایل

استاد

• Network Security
• Network Measurements
• Internet Architecture
• +۹ مورد دیگر

Oliver Hohlfeld is a Professor at the University of Kassel, where he leads the Distributed Systems group. He previously held academic positions at Brandenburg University of Technology and RWTH Aachen University, and was a visiting scholar at the University of Wisconsin–Madison. His research focuses on network security, Internet measurements, and Quality of Experience (QoE). He completed his Ph.D. in Computer Science at TU Berlin under Anja Feldmann and holds a B.Sc. and M.Sc. from Darmstadt University of Technology. He also worked at Fraunhofer IGD on telemedical network architectures. His research adopts a data-driven approach, combining large-scale Internet measurements, user studies, and machine learning to understand and improve Internet performance and security. Key areas include DDoS detection, QUIC, HTTP/2, TLS deployment, and BGP analysis. He investigates how protocols like QUIC and HTTP/2 impact user experience and network efficiency, often through empirical studies of real-world deployments. His recent publications highlight a strong trend in network security and protocol analysis, with significant work on DDoS attacks, traffic ingress detection, and web consolidation. He also explores social media dynamics and censorship circumvention through user reviews. 2022 IETF/IRTF Applied Networking Research Prize Best of CCR (2021) for TLS 1.3 deployment study ACM Senior Member (2020) IEEE QoMEX 2019 Best Reviewer Award ACM IMC Community Contribution Award (2018) He has advised numerous Master’s and Bachelor’s students, primarily at RWTH Aachen, and has been a principal investigator in major projects such as AIDOS (AI-based DDoS mitigation), DFG SFB MAKI, COMTEX, and the EU-funded SSICLOPS. He actively serves on the technical program committees of top-tier conferences including SIGCOMM, NSDI, IMC, and CoNEXT, and is a frequent reviewer for leading journals in networking and systems. He leads the Distributed Systems group at the University of Kassel, which conducts research on Internet observability, secure infrastructures, and scalable networking solutions.

Jerry K. Hoepnerمشاهده پروفایل

استاد

• Cognitive-Communication Disorders
• Aphasia Rehabilitation
• Traumatic Brain Injury Rehabilitation
• +۵ مورد دیگر

Dr. Jerry K. Hoepner serves as Professor and Assistant Chair in the Department of Communication Sciences and Disorders at the University of Wisconsin - Eau Claire's College of Health and Human Sciences, where he has taught full-time since 2007 after beginning part-time in 2003. His roles include Student Engagement Coordinator and CSD Ambassadors Advisor, with clinical supervision remaining integral to his work. His educational foundation includes a Ph.D. in Communication Sciences and Disorders from the University of Wisconsin - Madison, an M.S. in Communication Sciences and Disorders from UWEC, a B.S. in Psychology from Minnesota State University - Mankato, and an A.A. from Bethany Lutheran College. He holds ASHA Certification (CCC-SLP) and Wisconsin State Licensure. Dr. Hoepner's research pioneers video self-modeling interventions, counseling methodologies, and healthcare perceptions for individuals with acquired cognitive-communication disorders, particularly traumatic brain injury (TBI) and aphasia. His innovative work encompasses the Chippewa Valley Aphasia Camp, Thursday Night Poets collective, and TBIconneCT/FUNconneCT social communication interventions. As co-founder of ASHA SIG20 for Counseling in CSD and the UWEC CSD SoTL Lab, he bridges scholarship with clinical practice while editing Teaching and Learning in Communication Sciences and Disorders . His publication trajectory reveals intensifying focus on qualitative analysis of patient experiences, project-based rehabilitation techniques, and counseling integration within SLP practice, with recent work examining poetry interventions, telehealth delivery, and sociolinguistic assessment frameworks. His distinguished recognition includes: ASHA Fellow designation (2021) UW System Regent's Teaching Excellence Award (2020) CAPCSD Distinguished Contribution Award (2023) Aphasia Access President's Award (2023) Multiple mentoring and scholarly honors Dr. Hoepner has mentored countless undergraduate research projects and graduate committees while securing federal TBI grants. His clinical leadership extends through Aphasia Access podcast contributions and statewide intervention programs that transform rehabilitation paradigms. His laboratory initiatives—including the SoTL Lab and project-based brain injury groups—embody his commitment to experiential learning, where students engage in camp immersion, clinical apprenticeships, and community-driven research that reshapes neurorehabilitation practices.

Adegboyega Ojoمشاهده پروفایل

استاد

• Digital Government
• Artificial Intelligence Governance
• Public Sector Innovation
• +۶ مورد دیگر

Dr. Adegboyega Ojo is a Professor at the School of Public Policy and Administration (SPPA), Carleton University , holding the prestigious Canada Research Chair (Tier 1) in Governance and Artificial Intelligence since 2014. His work bridges digital government , AI governance , and smart city development , with a focus on public sector innovation and policy analytics . Research Interests Smart Cities and Urban Digital Infrastructure Open Government Data and Transparency Blockchain Applications in Public Administration AI Ethics and Algorithmic Governance Electronic Participation and Citizen Engagement Publication Trends : His research emphasizes interdisciplinary approaches to digital governance, often involving data-driven policy analysis , smart city frameworks , and open data platform design . Collaborations span institutions in Ireland, Poland, and the U.S., with citations exceeding 5,200. Scientific Awards : Canada Research Chair in Governance and AI (Tier 1) Labs & Teams : Collaborates with the Insight Centre for Data Analytics (Ireland), Delft University of Technology , and United Nations University on projects like OpenGovIntelligence and BOLD (Big and Open Linked Data).

Jennifer Edmondمشاهده پروفایل

دانشیار

• Digital Humanities
• Research Infrastructures
• Open Science
• +۲ مورد دیگر

Jennifer Edmond is Associate Professor of Digital Humanities and co-director of the Trinity Center for Digital Humanities at Trinity College Dublin, where she also directs the MPhil in Digital Humanities and Culture. She holds a PhD in Germanic Languages and Literatures from Yale University and specializes in applying advanced methods and infrastructures for arts and humanities research. Her research focuses on Digital Humanities, Research Infrastructures, Open Science, Cultural Heritage, and Knowledge Technologies. She has developed significant expertise in European research policy, having coordinated the €6.5m CENDARI FP7 project and participated in numerous EU initiatives including PARTHENOS, Europeana Cloud, and the Computational Literary Studies Infrastructure (CLS Infra). Dr. Edmond maintains an active publication record exploring digital scholarly editing, privacy in literary texts, open science practices, and cultural heritage narratives. Her recent work demonstrates a strong focus on the intersection of technology and democracy, digital ethics, and innovative methodologies for humanities research. Awards and Honors: Named one of Ireland's five 'Champions of EU Research' (2012) She served as President of DARIAH-EU's Board of Directors (2018-2022) and represented the organization on the European Commission's Open Science Policy Platform. Dr. Edmond has contributed to strategic developments at national and institutional levels, while actively promoting public outreach through various media formats and art installations.

Janice McGregorمشاهده پروفایل

دانشیار

• Language Learning and Teaching Ideologies
• Intercultural Learning in Study Abroad
• Qualitative Research Methods in Applied Linguistics
• +۳ مورد دیگر

Janice McGregor is an Associate Professor of German Studies at the University of Arizona, affiliated with the College of Humanities and the Interdisciplinary PhD program in Second Language Acquisition and Teaching (SLAT). She holds a PhD in German Applied Linguistics from Penn State and previously served as Assistant Professor of German at Kansas State University (2012–2018). Her research focuses on three core areas: ideologies in language learning/teaching, discourses around intercultural learning in study abroad, and reflexive qualitative research methods in applied linguistics. She emphasizes the importance of examining social interactions and authentic language use patterns across communities. Her work critiques traditional methodologies in study abroad research, advocating for more reflexive and decolonized approaches. Notable contributions include analyzing interactions in study abroad contexts, the role of authenticity in language learning, and the ethical dimensions of global mobility programs. Current courses include GER 244 (Real Talk: Why Language Matters) and GER 508 (Approaches to German Studies). Her research methodologies often integrate autoethnography and critical discourse analysis. McGregor’s articles consistently address themes of agency, authenticity, and methodological innovation. Recent work explores ungrading practices and the use of technology in L2 learning. She actively participates in academic discourse through her contributions to conferences like the Tucson Humanities Festival and her involvement in curricular decolonization initiatives.

Ying Caiمشاهده پروفایل

دانشیار

• AI
• Machine Learning
• Data Science
• +۴ مورد دیگر

Ying Cai is an Associate Professor in the Department of Computer Science at Iowa State University, joining in 2003 after earning his Ph.D. in Computer Science from the University of Central Florida (2002). His research focuses on AI, machine learning, data science, cybersecurity, privacy protection, and database systems. He leads projects funded by the Air Force Research Laboratory, including work on authentication data structures for rank-aware queries, requiring U.S. citizenship and expertise in linear algebra/cryptography. Dr. Cai’s work spans cybersecurity (e.g., adversarial example defense, secure secret sharing), spatio-temporal systems (e.g., traffic risk prediction, check-in time modeling), and healthcare AI (e.g., cervical spine diagnosis with transformers). His publications emphasize practical applications of ML in privacy, security, and distributed systems. Professional roles include Associate Editor for Multimedia Tools and Applications (since 2009), Co-chair for COMPSAC TAIN/NCIW symposium (2014–2017), and TPC Chair for Mobilware 2010. His service includes contributions to INFOCOM, ICDCS, and MDM conferences. Current research opportunities exist for graduate students with strong programming/math skills, particularly in cryptography and linear algebra. He emphasizes interdisciplinary work, such as bridging AI with social sciences via large language models.

Gabrielle Hodgeمشاهده پروفایل

مدرس ارشد

• Sociolinguistics
• Sign Language Linguistics
• Multimodal Communication
• +۷ مورد دیگر

Gabrielle Hodge is a Senior Lecturer in Sign Language Linguistics at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. A deaf researcher, she specializes in sociolinguistics related to deaf communities, sign languages, and multimodal communication. Her work incorporates corpus linguistics, applied linguistics, and semiotics methodologies. Education: PhD in Linguistics (Macquarie University, 2014), BA (Hons) in Linguistics (La Trobe University, 2008). Teaching includes undergraduate and postgraduate courses in sign language linguistics and sociolinguistics. She chairs the University BSL Plan Implementation Group (2024-2030) and actively supervises PhD and MSc students in deaf community research. Research focuses on accessibility, sign language corpus methods, and inclusive language theory. Notable projects include the Accessibility & Inclusion Toolkit for deaf Australians and Signing to Know & Survive , exploring deaf communication resilience. She develops training for educators and interpreters, emphasizing direct access without relay systems. Key contributions include advancing corpus-driven sign language research, analyzing deaf professionals' trust in interpreters, and creating climate change resilience resources in Auslan. Her work challenges traditional linguistic frameworks to better incorporate deaf perspectives and embodied communication practices.

• Robotics
• Transfer Learning
• Neuro-fuzzy Systems
• +۲ مورد دیگر

C. S. George Lee is a Professor of Electrical and Computer Engineering at Purdue University's Elmore Family School of Electrical and Computer Engineering, located in West Lafayette. His research focuses on Robotics, Transfer Learning, Neuro-fuzzy Systems, Automatic Controls, and Computer Engineering. He holds a BSEE (1973), MSEE (1974) from Washington State University, and a PhD (1978) from Purdue University. His work integrates computational intelligence with AI, robotics, and education technology, emphasizing human-machine co-learning models and bilingual systems. His contributions span domains like quantum computing, generative AI, and knowledge graph applications. He leads the Art Lab at Purdue and has published extensively on topics ranging from humanoid robotics to cross-cultural educational platforms. His research areas include developing intelligent agents for edutainment, robotic assistants for student learning, and advanced machine learning techniques. Notable trends in his publications involve computational intelligence applied to bilingual language models (e.g., Taiwanese/English co-learning), quantum-based AI systems, and human-centric robotics. He has explored applications in healthcare (e.g., blood donor analysis), autonomous navigation, and game AI (e.g., Go). His work often bridges theoretical advancements with real-world implementations, such as Java software tools for motor activity assessment (JKinect) and AI-driven platforms for skill evaluation. Lee's research emphasizes interdisciplinary collaboration, with contributions to IEEE conferences and cross-institutional projects. His lab develops tools for adaptive e-learning, robotic task performance evaluation, and human pose estimation using neural networks. Despite prolific publishing, no specific grants or awards are explicitly mentioned in the provided text. His work continues to explore the intersection of human intelligence and smart machines through platforms like Metaverse integration and BCI (Brain-Computer Interface) applications.

Ryan Koمشاهده پروفایل

استاد

• Cyber Security
• Data Provenance
• Industrial Control Systems (ICS) Security
• +۶ مورد دیگر

Professor Ryan Ko is a leading academic in Cyber Security at the University of Queensland (UQ), serving as Chair and Director of the UQ Cyber Research Centre, Director of Research at the School of Electrical Engineering and Computer Science, and a member of UQ's Academic Board. He holds a BEng (Computer Engineering) and PhD from Nanyang Technological University, Singapore. His research focuses on data provenance, industrial control systems (ICS) security, privacy-preserving technologies, and AI-driven cybersecurity solutions. Ko has pioneered initiatives such as the UQ Cyber Centre, interdisciplinary cybersecurity education programs (MCyber, PGDipCyber), and the Oceania Cybersecurity Challenge. He has attracted over AUD 20 million in competitive grants as lead investigator, including the NZ$12.2M STRATUS project. Ko’s work spans industry and policy, including advisory roles with INTERPOL, governments, and NGOs. He has authored over 100 publications, contributed to ISO standards (e.g., ISO/IEC 21878), and co-founded cybersecurity startups. Awards include Fellowships from the Australian Computer Society and Queensland Academy of Arts and Sciences, and the CSA Ron Knode Service Award. Education: Bachelor of Engineering (Computer Engineering) (Hons.), Nanyang Technological University (2005) PhD in Computer Science, Nanyang Technological University (2011) Awards: Fellow, Australian Computer Society (2016) Fellow, Queensland Academy of Arts and Sciences (2020) Young Professional Award, Singapore Government (2018) Grants & Leadership: AUD 20M+ lead investigator grants; NZ$12.2M STRATUS project (2014–2018) Established UQ Cyber Centre (2019) and NZ’s first cybersecurity graduate program (2012) His research emphasizes returning data control to users, with applications in agriculture, energy, and critical infrastructure. Ko’s contributions include patents, open-source tools (e.g., Kali Linux), and frameworks like TrustCloud for cloud accountability.

Torsten Grustمشاهده پروفایل

استاد

• Database Systems
• Programming Languages
• Query Optimization
• +۶ مورد دیگر

Torsten Grust is a Professor of Computer Science at the University of Tübingen, leading the Database Systems research group since 2008. Previously, he held professorships at TU München and TU Clausthal. He earned his M.Sc. (Diploma) and Ph.D. in Computer Science from Universität Konstanz in 1994 and 1999, respectively. His research focuses on database languages, query and programming language technology, and scalable processing of non-relational queries. He bridges database and programming language research, emphasizing mutual benefits between the fields. **Education:** Ph.D. in Computer Science, University of Konstanz (1999) M.Sc. (Diploma), Computer Science, University of Konstanz (1994) Visiting Scientist, IBM Silicon Valley Laboratories (2000) **Research Interests:** Design and optimization of database languages Query compilation and execution engines Integration of functional programming with SQL Query provenance and debugging **Awards and Honors:** ACM SIGMOD Reproducibility Award (2021) University of Tübingen Teaching Award (2021/22) Winner of Dyalog 2019 APL Program Solving Competition Member of the VLDB Endowment Board of Trustees (2022–2027) **Advising & Grants:** Guided numerous students, including alumni such as Alexander Ulrich, Benjamin Dietrich, and Christian Duta Recipient of grants supporting research in query compilation, provenance analysis, and database language design **Labs & Teams:** Leads the Database Systems research group at University of Tübingen Collaborates with the National Institute of Informatics (Tokyo) on query and programming languages

• Computational Imaging
• Optical Systems Design
• Machine Learning
• +۵ مورد دیگر

Nicholas Antipa is an Assistant Professor at the University of California San Diego's Jacobs School of Engineering, in the Electrical and Computer Engineering department. His research focuses on the co-design of optical systems and algorithms to develop advanced computational imaging systems, leveraging innovations in 3D printing, sensors, machine learning, and AI. He holds a PhD in Computational Imaging from UC Berkeley and previously worked at the Lawrence Livermore National Lab on optical metrology for the National Ignition Facility. His work includes pioneering projects like the DiffuserCam and Miniscope3D, which enable high-dimensional optical signal capture and 3D microscopy. Education: PhD in Computational Imaging, UC Berkeley (2020) MS in Optics, University of Rochester Institute of Optics BS in Optical Science and Engineering, UC Davis Research Interests: Computational imaging systems, single-shot high-dimensional optical capture, lensless imaging, and applications in neuroscience and marine science. His lab explores novel optical designs, compressed sensing, and AI-driven imaging techniques to push the boundaries of conventional systems. Scientific Awards: Best Paper at ICCP 2019, 2016 Best Demo at ICCP 2017 No. 2 in Optica 15 Top-Cited Articles (2020) Affiliations: Director of the Computational Imaging Systems Lab at UCSD. Collaborates with institutions like Lawrence Livermore National Lab and the Scripps Institution of Oceanography for projects in marine sediment mapping and underwater object detection. His lab emphasizes open-source tools, such as the DiffuserCam Raspberry Pi tutorial.

• Geriatric Medicine
• Aging Research
• Clinical Trials
• +۳ مورد دیگر

Denise Acampora, MPH, is a Lecturer in Geriatric Medicine at Yale School of Medicine. She specializes in aging-related research focusing on delirium prevention, post-hospitalization outcomes, falls prevention, and clinical trials in elderly populations. Her work spans over three decades, with significant contributions to understanding geriatric syndromes and improving care transitions for older adults. Education: MPH from Columbia University (1980), BS from St. Mary's College (1970). Key Research: Lead author on landmark studies about delirium interventions (NEJM 1999), cranberry clinical trials for UTIs in nursing homes (JAMA 2016), and post-COVID-19 outcomes in older adults (JAMA Network Open 2024). Collaborations: Works with prominent researchers like Thomas Tinetti, Mary Tinetti, and Laura Ferrante on aging-related studies. Her research emphasizes translational strategies to reduce disability and improve quality of life for elderly patients through evidence-based interventions. Current projects focus on longitudinal assessment of post-acute sequelae in older adults (VALIANT cohort).

Barbara Givenمشاهده پروفایل

استاد

• Nursing
• Oncology Caregiver Support
• Symptom Management in Cancer Patients
• +۳ مورد دیگر

Barbara Given is a University Distinguished Professor in the College of Nursing at Michigan State University. Her research focuses on the interplay between formal healthcare systems and informal caregiver networks, particularly in oncology and geriatric populations. She has secured over 34 years of NIH funding, including grants from the National Cancer Institute, NIMH, and others. Dr. Given earned her Ph.D. at MSU, following a BSN and MSN from Ohio State University. Her work centers on caregiver burden, symptom management in chronic disease, and caregiver-patient communication. She developed the Caregiver Burden Instrument, widely used in research and clinical settings across multiple languages. Key research interests include: 1) caregiver stress and support systems, 2) symptom management in cancer patients, and 3) healthcare coordination challenges in aging populations. Her NIH-funded projects address adherence to oral chemotherapy, fall prevention in cancer survivors, and psychosocial outcomes post-treatment. Recent articles emphasize innovation in symptom tracking (e.g., text messaging for adherence), caregiver mental health barriers, and longitudinal symptom analysis. Awards/fellowships are not explicitly stated, though her sustained NIH support reflects significant recognition. Dr. Given advises on grants and mentors nurse researchers. She collaborates on interdisciplinary teams focused on palliative care, gerontology, and technology-based interventions. Her work bridges clinical practice and policy, advocating for integrated care models to reduce caregiver burden.

Mohsen Habibiمشاهده پروفایل

استادیار

• Additive Manufacturing
• Acoustic Holography
• Bioprinting
• +۵ مورد دیگر

Mohsen Habibi is an Assistant Professor at the University of California, Davis, leading the Advanced Manufacturing Lab (AML). His research focuses on Additive Manufacturing (AM), particularly pioneering Direct Sound Printing (DSP), an ultrasound-based technique for 3D printing via sonochemistry and thermochemistry. His work has been recognized with the David Dornfeld Manufacturing Vision Award (2024), NSF Blue Sky Competition win, and inclusion in Quebec Science magazine's top 10 discoveries of 2022. Before academia, Dr. Habibi worked as a senior manufacturing engineer at General Motors and mechanical designer at MDA (a space technology firm). He held roles as a research associate at Concordia University and a postdoctoral fellow at the University of British Columbia, collaborating with industries like Pratt & Whitney and MAL Inc. His research bridges acoustic physics, materials science, and biomedical engineering, emphasizing non-invasive applications such as in-situ tissue printing and remote polymerization. Research Highlights: His lab explores holographic DSP for complex patterns, minimally invasive medical applications, and sustainable 3D printing systems for underserved regions. Key areas include metamaterials, acoustic holography, and energy-efficient manufacturing. Awards & Recognition: David Dornfeld Manufacturing Vision Award (2024) NSF Blue Sky Competition Winner Quebec Science Magazine's Top 10 Discoveries (2022) Altmetric 99th percentile for DSP publication impact Lab Activities: The AML develops technologies like Remote Distance Printing (RDP) for inaccessible locations and Holographic DSP (HDSP) for multi-pattern fabrication. Projects include acoustic-matter interaction studies and CAD/CAM process optimization.

Biondo Biondiمشاهده پروفایل

استاد

• Seismic Imaging
• Geophysics
• Computational Geosciences
• +۶ مورد دیگر

Biondo Biondi is the Barney and Estelle Morris Professor of Geophysics at Stanford University, affiliated with the School of Earth Sciences. He leads the Stanford Exploration Project and holds roles such as Chair of the Geophysics Department (2019–2022) and Director of the Stanford Earth Imaging Project (1998–Present). His research focuses on seismic imaging algorithms, computational geophysics, and fiber-optic sensing technologies. He earned his Ph.D. (1990), M.S. (1987) in Geophysics from Stanford, and M.Sc. in Electrical Engineering from Politecnico di Milano (1984). Dr. Biondi's research emphasizes improving seismic data imaging through advanced computational methods. He pioneered urban seismic monitoring using preexisting telecommunication fibers, enabling cost-effective subsurface analysis. His work integrates machine learning and high-performance computing to address challenges in reservoir imaging, CO2 monitoring, and infrastructure health. Key research areas include distributed acoustic sensing (DAS), ambient noise tomography, and inverse theory applications. He has authored over 180 publications and received awards like the SEG Honorable Mention (2019, 2016, 2009) and the Distinguished Instructor Short Course (2007). His teaching includes courses like 3-D Seismic Imaging and Reflection Seismology, and he advises graduate students in geophysics and computational science. Collaborations span industry (e.g., Schlumberger, Saudi Aramco) and global institutions. Biondi’s administrative contributions include co-directing the Stanford Earth Sciences Algorithms and Architectures Initiative and serving on editorial boards like the SIAM Journal on Imaging Sciences. His lab’s innovations bridge geophysics with emerging technologies, advancing both academia and industry applications in energy, environment, and urban infrastructure.