جست‌وجوی استاد و پژوهشگر

Abigail Schuhمشاهده پروفایل

دانشیار

• Medical Education
• Pediatric Emergency Medicine
• Curriculum Design
• +۳ مورد دیگر

Abigail Schuh, MD, MMHPE is an Associate Professor of Pediatrics at the Medical College of Wisconsin. She serves as Director of Education in the Section of Pediatric Emergency Medicine and Director of the Pediatric Emergency Medicine Fellowship program. Based at Children's Wisconsin Emergency/Trauma department in Milwaukee, WI, she focuses on medical education and clinical research within pediatric emergency care. Education: MD (University of Wisconsin-Madison, 2009), Pediatrics Residency (Medical University of South Carolina, 2012), Pediatric Emergency Medicine Fellowship (University of Washington-Seattle, 2015), MMHPE (Eastern Virginia Medical School, 2018) Dr. Schuh specializes in curriculum design, clinical performance assessment, and resident wellness research. Her work includes developing EHR-based evaluation systems, national burnout studies during the pandemic, and multi-center clinical investigations through PEM-CRC. She contributes to major textbooks like Nelson Textbook of Pediatrics while advancing pediatric emergency medicine education frameworks. Recent publications highlight her expertise in assessment system development, pediatric emergency protocols, and nephrology-related emergency care. Collaborations span institutions like University of Washington, Eastern Virginia Medical School, and national consortia focusing on pediatric emergency research and medical education innovation.

• High Performance Computing
• Energy Efficiency
• Data Center Operations
• +۳ مورد دیگر

Dr. Torsten Wilde is a researcher at Technical University Munich , Germany, with a focus on High Performance Computing (HPC) and Energy Efficiency in data centers. His work spans over a decade, integrating Machine Learning , Simulation and Modeling , and Operational Data Analytics to optimize HPC systems.

• Tort Law
• Health Law
• Public Authority Liability
• +۷ مورد دیگر

Lynda Crowley-Cyr is an Associate Professor of Law at the University of Southern Queensland's School of Law and Justice and a member of the Centre for Health Research. She holds a PhD in Law from the University of Sydney (2016) and has been with UniSQ since 2011. Her expertise spans tort law, health law, public authority liability, and tourist behavior, particularly in relation to marine hazards like jellyfish. She actively contributes to policy consultations (e.g., Queensland recreational diving safety standards) and ethics review processes. Education: LLB (QUT, 1991), GCertEd (JCU, 1996), LLM (JCU, 1997), PhD (Sydney, 2008). Research focuses on legal and ethical dimensions of public health risks, including jellyfish hazard communication, tourism policy, and pandemic response. Her work bridges law, environmental science, and behavioral studies. Recent articles analyze ethics review processes in humanities/social sciences and the impact of risk communication on tourist behavior during crises like COVID-19. Awards: None explicitly listed, though her contributions to policy and ethics reflect professional recognition. Supervision: Currently guiding doctoral research on the National Code of Conduct for Health Care Workers. Previously supervised studies on student retention and mental health. Labs/Teams: Active in UniSQ's Centre for Health Research, focusing on interdisciplinary health and legal issues.

Ulises Techeraمشاهده پروفایل

عضو هیئت علمی

• Construction Safety
• Human Factors in Engineering
• Occupational Health and Safety
• +۳ مورد دیگر

Ulises Techera is an Associate Teaching Professor at the Colorado Mesa University – University of Colorado Boulder Partnership . His research focuses on construction safety , particularly how human factors like fatigue affect safety and productivity in hazardous sectors such as electrical transmission, oil/gas, and pipeline construction. He is an active contributor to the American Society of Civil Engineers (ASCE), currently serving as President of the ASCE Western Slope Colorado Branch. Education: PhD in Civil Engineering, University of Colorado Boulder (2017) MS in Civil Engineering, University of Colorado Boulder (2017) BS-MS Equivalent in Civil Engineering, Polytechnic University of Catalonia (2014) Research Interests: Techera explores fatigue management strategies, human error prevention, and safety climate dynamics in construction. His work bridges empirical field studies with meta-analytic reviews to address systemic risks. Notable contributions include frameworks for measuring fatigue using biometric data and improving safety protocols in high-risk environments. Publications highlight trends in fatigue assessment methodologies , hazard recognition , and safety performance metrics , reflecting a focus on actionable solutions for industry challenges. No scientific awards are explicitly listed, though his consulting and advisory roles underscore professional recognition. Techera’s educational and advisory efforts emphasize translating research into practical applications for safer construction practices.

Hana Vrzakovaمشاهده پروفایل

پژوهشگر ارشد

• Eye-Tracking Analysis
• Machine Learning
• Multimodal Modeling
• +۵ مورد دیگر

Hana Vrzakova is a Postdoctoral Research Associate at the University of Colorado and holds leadership roles at the University of Eastern Finland (UEF) and Microsurgery Center KYS. Her research focuses on eye-tracking technologies, machine learning applications in human-computer interaction, and medical informatics. She investigates multimodal modeling for surgical training, cognitive workload assessment, and social media behavior analysis. Key roles include Head of Medical ICT Development at KYS and Head of Research at UEF’s EMC. Her work bridges computer science with clinical applications, particularly in microsurgery and neurosurgery training. She has pioneered tools like the Web-Tracking Plugin (WTP) for real-time AOI annotations and contributed to spectral video integration in medical imaging. Research interests span gaze-based intent prediction, affect recognition in code reviews, and collaborative problem-solving dynamics. She has received awards such as the ACM LAK2020 Best Paper Award and the CHI Doctoral Consortium Award, reflecting her impactful contributions to learning analytics and human-computer interaction. Her publications emphasize interdisciplinary approaches, combining machine learning with medical device development, surgical education, and stress biomarker modeling. Current projects include HSI standards for neurosurgery and VR-based anatomical training systems.

Torin Clarkمشاهده پروفایل

دانشیار

• Astronaut Biomedical Issues
• Aerospace Human Factors
• Human Sensorimotor/Vestibular Function
• +۵ مورد دیگر

Dr. Torin Clark is an Associate Professor in the Aerospace Engineering Sciences Department and a faculty affiliate of BioServe Space Technologies at the University of Colorado Boulder. His research focuses on astronaut biomedical and cognitive challenges , particularly sensorimotor adaptation in altered gravity , human-autonomous systems interaction , and motion sickness mitigation . He leads the Bioastronautics Laboratory, contributing to space human factors research. PhD in Aeronautics and Astronautics (MIT, 2013) MS in Aeronautics and Astronautics (MIT, 2010) BS in Aerospace Engineering Sciences (University of Colorado, 2008) His work includes mathematical modeling of spatial orientation and experimental validation of vestibular adaptation . Recent research explores galvanic vestibular stimulation (GVS) for mitigating spatial disorientation and enhancing astronaut performance. His group develops human-in-the-loop simulations for lunar landing and rover operations, emphasizing trust dynamics in autonomy and real-time cognitive state estimation . The 2024-2025 publications demonstrate trends in motion sickness countermeasures , neurovestibular modeling , and human-autonomy teaming . Key methodologies include GVS applications , artificial gravity protocols , and sensorimotor assessment tasks validated through spaceflight analogs. Summer Faculty Research Fellow, ONR (2018) Outstanding Mentor Award, UROP (2018) National Academies' Forum for New Leaders (2016) Stanley Roscoe Award for Doctoral Thesis (2014) Dr. Clark mentors PhD, MS, and undergraduate researchers with backgrounds in engineering , applied mathematics , and human physiology . His lab collaborates with the Bioastronautics Research Group and participates in CU-Boulder's Autonomous Systems IRT , advancing human-in-the-loop experimentation for space exploration.

• High-Performance Computing
• Parallel I/O Systems
• Scientific Computing
• +۳ مورد دیگر

Venkatram Vishwanath is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the College of Engineering. His research focuses on high-performance computing (HPC), parallel I/O systems, machine learning applications, and scientific computing. He has contributed to advancing scalable data management, performance optimization on supercomputers, and interdisciplinary projects such as the HACC cosmological simulation framework. Collaborations with institutions like Argonne National Laboratory highlight his work in bridging computational science with practical applications. Key areas of expertise include topology-aware data aggregation, GPU performance modeling, and accelerating I/O operations for large-scale simulations. His work on frameworks like vl3 and PIDX has improved parallel data handling and visualization. Awards and recognitions are not explicitly listed in the provided data, but his extensive publication record and leadership in HPC projects reflect significant contributions to the field.

• Cybersecurity
• Computer Networking
• Mobile Ad Hoc Networks
• +۵ مورد دیگر

Rajendra V. Boppana is a Professor in the Department of Information Systems and Cyber Security at the College of Sciences, University of Texas at San Antonio. With a research career spanning over three decades since 1988, his work has significantly contributed to the fields of computer networking, cybersecurity, and distributed systems. His educational background, while not explicitly detailed in the provided publications, likely includes advanced degrees in Computer Science or a related field, given his extensive research contributions and faculty position. His publication record demonstrates deep expertise developed through years of academic research and teaching. Dr. Boppana's research interests focus primarily on network security , mobile ad hoc networks , routing algorithms , and cybersecurity . His early work concentrated on fault-tolerant communication and routing algorithms for parallel and distributed systems, while more recent research has shifted toward practical cybersecurity applications including ransomware detection, intrusion detection systems, and honeypot technologies. His research often bridges theoretical networking concepts with real-world security applications, demonstrating a consistent ability to adapt to evolving technological challenges. Analysis of his recent publication trends (2019-2025) reveals a strong focus on contemporary cybersecurity challenges. His work increasingly incorporates machine learning techniques for security applications, with particular emphasis on network traffic analysis, ransomware detection, and innovative honeypot designs using generative AI. The shift from traditional networking research to security applications reflects both the evolving threat landscape and his ability to address pressing real-world problems. Dr. Boppana has received recognition through consistent publication in top-tier venues including IEEE Transactions journals and major computer science conferences, though specific awards are not detailed in the provided publication record. As an advisor, Dr. Boppana has mentored numerous graduate students, with recent PhD candidates including Palden Lama, Jarrod Ragsdale, and Kumar Thummapudi, who have co-authored multiple publications with him on cutting-edge security topics. His research has been supported by various grants, though specific funding sources are not detailed in the provided information. His laboratory or research group appears to focus on network security and cybersecurity applications, with recent work involving machine learning for security, ransomware detection, and network traffic analysis. The group maintains active collaborations with researchers across multiple institutions and appears to have strong industry connections given the practical nature of their security research.

Wen-Jan Tuanمشاهده پروفایل

استادیار

• Bioinformatics
• Health Services Research
• Healthcare Informatics
• +۵ مورد دیگر

Wen-Jan Tuan is an Assistant Professor in the Department of Family and Community Medicine. His research focuses on leveraging health data analytics, telehealth technologies, and machine learning to improve healthcare delivery efficiency and equity. He specializes in opioid therapy management, population health strategies, and virtual care platform usability. Education: DHA from Medical University of South Carolina, MPH and MS from University of Wisconsin Skills: SAS programming, Oracle PL/SQL, Raspberry Pi IoT development Affiliations: Member of CENSAI (Center for Artificial Intelligence Foundations and Scientific Applications) His work addresses clinician and patient responses to health IT adoption, with notable contributions to opioid pain management algorithms and primary care panel workload metrics. Collaborative efforts include developing Common Data Model frameworks for reproducible research and IoT-based connected health solutions. Recent studies explore impacts of healthcare system changes on chronically ill patients and long-term opioid users, using predictive analytics and cohort analyses. His innovations aim to enhance care accessibility and reduce health disparities through technology.

Tianwen Maمشاهده پروفایل

عضو هیئت علمی

• Biostatistics
• Bayesian Analysis
• Brain-Computer Interface (BCI)
• +۳ مورد دیگر

Tianwen Ma is an Assistant Research Professor in the Department of Biostatistics and Bioinformatics at Emory University's Rollins School of Public Health. Their research focuses on Bayesian methodologies applied to EEG-based Brain-Computer Interfaces (BCI), collaborating closely with Emory Brain Health Center physicians and faculty. Ma holds a Ph.D., M.S., and B.S. from the University of Michigan, and a B.S. from Sichuan University (Dual Degree). Education: Ph.D. in Biostatistics, University of Michigan M.S. in Biostatistics, University of Michigan B.S. in Mathematics/Statistics, University of Michigan B.S. in Physics, Sichuan University (Dual Degree) Research Interests: Bayesian analysis, neuroimaging applications in BCI, clinical decision-making, and interdisciplinary collaborations in healthcare. Their work bridges statistical innovation with practical medical challenges, such as improving diagnostic accuracy in neurological conditions and optimizing BCI signal processing. Publications: Recent work includes studies on stroke rehabilitation equity, machine learning in glioma diagnosis, and Bayesian modeling of neural activity. These articles reflect a focus on translational research at the intersection of biostatistics and clinical practice. Affiliations: Collaborates with Emory’s Brain Health Center and actively contributes to radiology-related research initiatives. Teaches BIOS 738: Bayesian & Empirical Bayes Methods. Labs/Teams: Engaged with interdisciplinary teams at Emory’s neuroscience and public health departments, focusing on BCI development and medical imaging analytics.

• Software Engineering
• Performance Testing
• Machine Learning Applications in Software Engineering
• +۵ مورد دیگر

Weiyi (Ian) Shang is an Associate Professor at the University of Waterloo, affiliated with the Department of Electrical and Computer Engineering within the Faculty of Engineering. His research focuses on software engineering, performance testing, and machine learning applications in software systems. He leads the Software Engineering and System Engineering Lab, emphasizing practical solutions for logging, performance optimization, and automated testing. Key research areas include log analysis (privacy leakage detection, log summarization, and logging strategies), performance monitoring (regression detection, workload modeling), API evolution (migration techniques, workaround analysis), and automated code generation (LLMs in bug decomposition, AI code evaluation). His work bridges theoretical advancements with industrial applications, particularly in web systems and mobile app ecosystems. Publications span empirical studies, novel algorithms (e.g., DELA for error detection, CoMSA for configuration testing), and tools like LogAssist and Log4Perf. His research consistently addresses challenges in developer productivity, system reliability, and security across diverse domains like federated learning and DevOps practices. Notable contributions include improving log management through topic models, enhancing performance testing efficiency via microbenchmark optimization, and analyzing privacy risks in mobile app logs. Ongoing work explores AI-driven code evaluation and generalizable code embeddings for software tasks. Shang’s lab collaborates with industry on real-world systems, as seen in case studies involving serverless applications and database-centric systems. His research often involves empirical studies and tool development to bridge gaps between academic research and practical software engineering challenges.

Kennedy-Metzمشاهده پروفایل

استاد پژوهشی

• Psychophysiology
• Stress Management
• Healthcare Workforce Studies
• +۳ مورد دیگر

Dr. Kennedy-Metz is a Research Professor in the Department of Psychology at Roanoke College, leading a research lab focused on psychophysiological indicators of emotional and cognitive states. Her work integrates non-invasive sensor technologies like electrocardiography (ECG), electromyography (EMG), and electroencephalography (EEG) to study stress responses across diverse populations including healthcare workers, first responders, and students. She emphasizes developing population-specific biofeedback interventions for stress management. Her research spans qualitative and quantitative methodologies, combining sensor-derived physiological data with subjective self-reports to achieve holistic stress assessment. Key focus areas include surgical team dynamics in cardiac operating rooms, emergency medical services stress, and cognitive workload measurement in high-stakes environments. Dr. Kennedy-Metz collaborates with interdisciplinary teams to design digital health tools and AI-driven solutions for real-time clinical decision support. Her lab offers research opportunities for undergraduate students at various academic levels, emphasizing technical skills (e.g., SPSS/Jamovi, sensor calibration) and academic professionalism. Current projects include analyzing psychophysiological responses during video game play and investigating the impact of operating room noise on team performance. Dr. Kennedy-Metz has published extensively on topics like surgical team cognitive workload, perfusionist stress management, and digital biomarker applications. Her work bridges biomedical engineering, behavioral science, and clinical practice to improve healthcare provider resilience and patient outcomes.

Eleni Tzirita Zacharatouمشاهده پروفایل

استادیار

• Spatial Data Management
• Geospatial Analytics
• Query Processing
• +۱ مورد دیگر

Eleni Tzirita Zacharatou is Assistant Professor in the Department of Computer Science at the IT University of Copenhagen. Her research develops efficient data management tools for modern analytics workloads, with specialization in spatial data processing and geospatial applications. She leads projects on query optimization, spatial indexing, and distributed geocomputation. Her research focuses on improving the efficiency of spatial data analytics through novel indexing structures, approximation techniques, and hardware acceleration. Key areas include spatial join optimizations, geospatial stream processing, and scalable earth observation data systems. She develops specialized algorithms for polygon processing, raster operations, and spatiotemporal indexing. Dr. Zacharatou's publications demonstrate innovations in geospatial query processing, including raster-based approximations for spatial joins, distributed execution of zonal statistics, and FPGA-accelerated sketching techniques. Her work bridges database systems research with practical applications in earth observation, IoT monitoring, and transportation analytics. Awards & Recognition: Distinguished Reviewer (VLDB 2022) SIGMOD Best Demonstration Award (2018) She leads the GeoSpatial Systems Lab, developing open-source tools for processing massive geospatial datasets. Current projects include distributed spatial aggregation frameworks and learned indexing techniques for earth observation platforms.

• Medical Imaging
• Neuroradiology
• Artificial Intelligence in Radiology
• +۳ مورد دیگر

Balaji Rao, MBBCh, is an Associate Professor of Radiology and Biomedical Imaging at Yale University's Yale School of Medicine. He specializes in neuroradiology and medical imaging, with a focus on integrating artificial intelligence and machine learning into diagnostic workflows. His academic roles include clinical radiology and teaching, contributing to advancements in imaging accuracy and peer review methodologies. Education: Dr. Rao earned his MBBCh from The Tamil Nadu Dr. MGR Medical University in 2001. His clinical expertise spans emergency radiology, brain tumor imaging, and vascular anomalies, with affiliations in Clinical Radiology and Neuroradiology departments. Research Interests: His work emphasizes AI-driven tools for improving CT and MRI diagnostics, particularly in detecting intracranial hemorrhages and brain tumors. He also explores imaging limitations and diagnostic errors, advocating for standardized reporting systems like the Brain Tumor Reporting and Data System. Articles Overview: Dr. Rao’s recent publications highlight AI applications in radiology peer review, emergency amyloid imaging abnormalities, and MDCT advancements in abdominal and vascular imaging. His work addresses both technical and clinical challenges in imaging accuracy and workflow optimization. Awards: While recognized in the 2019 Honors & Achievements category, specific award details are not listed in available texts. Advising & Grants: No formal advisees are listed, though his research contributions likely involve collaborative grant-funded projects. His clinical roles at Yale Medicine further highlight his commitment to patient care and diagnostic innovation. Labs/Teams: His affiliations suggest involvement in institutional research teams focused on neuroradiology and AI integration, though specific lab names are not provided in the text.

Matthijs Berendsمشاهده پروفایل

پژوهشگر

• Antimicrobial Resistance
• Data Science
• Machine Learning
• +۴ مورد دیگر

Dr. Matthijs Berends is a medical epidemiologist/microbiologist at the University Medical Center Groningen (UMCG) and holds a postdoctoral position in the Department of Primary Care Medicine. He also serves as a Medical Epidemiologist at the Certe Foundation. His expertise spans microbial epidemiology, data science, and predictive modeling. He earned his PhD in 2021 with a thesis on antimicrobial resistance (AMR) data analysis methods, which has been widely adopted globally and recognized with the University of Groningen’s Open Research Award. Education & Background: PhD in Clinical Epidemiology (University of Groningen) Medical Biology and Medical Microbiology background Research Focus: Development of novel AMR data analysis tools Machine learning for predicting acute/long-COVID outcomes Analysis of multidrug-resistant organisms in cross-border healthcare regions Application of NLP in electronic health records Awards & Recognition: Open Research Award (2021) for AMR analysis tool ResearchGate top 10 most-read preprint (2021) Teaching: R instructor for Medical Microbiology PhD candidates at UMCG, with a course on Advanced Infectious Diseases Statistics. Labs/Teams: Member of the Cure and Care in the Community Context (FOUR-C) group and the Dutch Working Party on Antibiotic Policy (SWAB).