جست‌وجوی استاد و پژوهشگر

Līva Ķīseمشاهده پروفایل

پژوهشگر

• Obstetrics
• Gynaecology
• Postpartum Depression
• +۷ مورد دیگر

Līva Ķīse serves as an Acting Researcher at Rīga Stradiņš University's Faculty of Medicine, Department of Obstetrics and Gynaecology, while concurrently working as an Obstetrician and Gynaecologist at Riga Maternity Hospital since October 2021. She is actively pursuing her Ph.D. with research focused on critical obstetric challenges. Her research interests span Obstetrics and Gynaecology , with specialized expertise in Labor Induction techniques , Postpartum Depression screening, Intrauterine Infection diagnostics, and Biomarker development for preterm birth prediction. Her work significantly contributes to UN Sustainable Development Goals in healthcare and maternal wellness. Analysis of her 25+ publications (2017-2025) reveals a strong clinical research trajectory with recent emphasis on maternal mental health (2024-2025 depression/anxiety studies) and advanced diagnostic methodologies (ultrasound parameters, sonoelastography for labor induction). Her publications consistently address practical clinical challenges in Latvian maternity care. Lead researcher on Non-Invasive Diagnostic Markers for Intrauterine Infection (2024-2028) Key contributor to Advancing Postpartum Depression Care in Latvia (European Commission project) Expert in Role of metabolome in labor induction (Latvian Council of Science) With 16 documented professional activities (2021-2025) including 8 poster presentations and 6 oral presentations, she actively disseminates findings at conferences. Her clinical work at Riga Maternity Hospital directly informs her research on improving maternal outcomes through evidence-based protocols.

Drury Luke O'Connorمشاهده پروفایل

عضو هیئت علمی

• Particle acceleration
• Plasma astrophysics
• Interstellar gas dynamics
• +۴ مورد دیگر

Drury Luke O'Connor is a Senior Professor at the Dublin Institute for Advanced Studies (DIAS) since 1986. He was elected to the Academy of Europe in 2005 and serves as a member of the Royal Irish Academy, having served as its President from 2011 to 2014. His research focuses on particle acceleration mechanisms, plasma astrophysics, and computational modeling of cosmic phenomena. O'Connor holds a PhD in Astrophysics from the University of Cambridge (1979) and previously worked as a Research Assistant at the Max Planck Institute for Nuclear Physics in Heidelberg (1979-1986). His work explores the origin of cosmic rays, interstellar gas dynamics, and shock acceleration processes. Notable contributions include studies on gamma-ray visibility of supernova remnants and diffusive shock acceleration theories. He received the Shakti P Duggal Award for his contributions to cosmic ray research. Publications span computational methods for astrophysical simulations, theoretical models of particle acceleration, and observational interpretations of cosmic ray escape processes. His research bridges theoretical astrophysics with computational techniques, emphasizing interdisciplinary approaches to understanding high-energy astrophysical systems.

Fady Shanoudaمشاهده پروفایل

استادیار

• Disability Studies
• Mad Studies
• Fat Studies
• +۳ مورد دیگر

Fady Shanouda (he/him) is an Assistant Professor in the Faculty of Arts and Social Sciences at Carleton University, specializing in Critical Disability Studies. He holds a PhD in Public Health Sciences (University of Toronto), an MA in Critical Disability Studies (York University), and a BA in Anthropology and Law & Society (York University). His work bridges Disability, Mad, and Fat Studies, examining intersections with colonialism, racism, and ableism/fatphobia. Research interests focus on disabled/mad students’ experiences in higher education, anti-fat bias in medicine, and socio-historical examinations of disability. He hosts the podcast *Disability Saves the World*, exploring crip/mad/fat thought and activism. His scholarship emphasizes community-driven research and pedagogical innovation. Key publications address neoliberal education funding inequities, fatmisia in digital mental health, and Mad Studies pedagogy. He has led SSHRC-funded projects on graduate student mental health and university institutional crises. Media contributions include critiques of long-term care systems and calls for healthcare reform. Teaching includes courses like *Disabling Society* and *Mad Studies*. Committed to equity, he advocates for accessibility reforms and intersectional solidarity across marginalized communities.

Nick Bottenusمشاهده پروفایل

استادیار

• Biomedical Ultrasound
• Medical Imaging Technology
• Diagnostic Imaging Quality
• +۳ مورد دیگر

Nick Bottenus is an Assistant Professor in the Department of Biomedical Engineering at the University of Colorado. His research focuses on improving diagnostic ultrasound imaging through system-level solutions, addressing challenges like acoustic clutter and patient variability. His work integrates transducer design, signal processing, and image interpretation to enhance clinical utility. His research interests include biomedical ultrasound, medical image quality optimization, and ultrasound system design. Key projects involve swept synthetic aperture imaging, transmit encoding optimization, and multi-pulse transmission techniques. His lab emphasizes pushing the boundaries of image quality in challenging clinical environments. Notable achievements include the 2017 Duke BME Award for Outstanding Dissertation and multiple SPIE awards. His work has societal impact through advancing reliable medical imaging technologies for clinical decision-making and AI integration. Lab locations include ECME 277 (office) and ECNW 1B50 (lab). Research collaborations span acoustics, optics, and biomedical fields. Current opportunities for students and postdocs are available in Biomedical and Mechanical Engineering programs.

Ed deHaanمشاهده پروفایل

دانشیار

• Financial Accounting
• Capital Market Research
• Disclosure Processing
• +۵ مورد دیگر

Ed deHaan is an Associate Professor of Accounting at the University of Washington , affiliated with the Foster School of Business . He earned a PhD in Accounting from the University of Washington (2013), an MA in Economics from San Francisco State University (2008), and a BA in Economics and Mathematics from the University of California, Santa Cruz (2001). His research focuses on capital market reactions to accounting disclosures , including studies on investor attention, media synthesis of earnings reports, and strategic timing of announcements. Key contributions examine how disclosure obfuscation , executive visibility , and hedge fund activism impact market efficiency and regulatory outcomes. Recent work involves algorithmic journalism ("Robo-Journalism") and its effects on trading volume, as well as SAS/STATA programming tools for financial data analysis available via GitHub. His awards include dual recognitions at the Western AAA Meeting (2012) and teaching excellence accolades at Stanford (2014, 2016). Selected Awards: Best PhD Paper Award – Western AAA Meeting (2012) Stanford MSx Teaching Excellence Award (2014, 2016)

Mohamed Younisمشاهده پروفایل

استاد

• Wireless Communication
• Internet of Things
• Cyber-Physical Systems
• +۶ مورد دیگر

Dr. Mohamed Younis serves as a Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC), where he has established himself as a leading researcher and educator. Recognized as an IEEE Fellow, his work spans critical areas of modern computing infrastructure with particular emphasis on challenging environments like underwater communication systems. His educational background includes: Ph.D. in Electrical Engineering from New Jersey Institute of Technology (1997) M.S. in Electrical Engineering from Alexandria University (1992) B.S. in Electrical Engineering from Alexandria University (1987) Professor Younis' research program addresses fundamental challenges in networked systems operating in constrained environments. His work on underwater sensor networks has pioneered novel approaches to overcome the limitations of traditional radio communication in aquatic environments. In the Internet of Things domain, he has developed innovative security mechanisms that balance protection requirements with the resource constraints of edge devices. His contributions to fault-tolerant computing ensure system reliability despite component failures, while his work on embedded systems optimization has led to more efficient implementations of critical functionality. The professor's research on physical unclonable functions represents cutting-edge work in hardware security, addressing vulnerabilities in device authentication. His publication record demonstrates consistent productivity across multiple domains, with recent work spanning underwater positioning systems, IoT security protocols, cognitive radio networks, and healthcare monitoring applications. This interdisciplinary approach reflects the increasingly interconnected nature of modern computing challenges. Dr. Younis has received significant recognition for his scholarly contributions, most notably through his elevation to IEEE Fellow status, which represents a prestigious honor within the engineering community. As an educator, Professor Younis has taught a comprehensive range of courses including Computer Architecture, Wireless Sensor Networks, Computer Networks, and Digital Design. His Embedded Systems and Networks Laboratory serves as the hub for his research activities, supporting graduate students and postdoctoral researchers in advancing the state of the art in his various research domains. His teaching portfolio demonstrates both depth in core computer engineering topics and breadth across emerging application areas. The professor maintains an active research program with ongoing projects in wireless communications, security protocols, and specialized network applications, continuing to contribute to both theoretical foundations and practical implementations in his fields of expertise.

Afsoon Soudiمشاهده پروفایل

استادیار

• Responsible AI
• Media Analytics
• Ethical Machine Learning
• +۴ مورد دیگر

Afsoon Soudi is Assistant Professor in Media Production at Toronto Metropolitan University and Associate Director of the Creative AI hub. She holds a PhD in Physics from Washington State University and brings industry experience from leadership roles at technology companies including Apple and Napster. Her research integrates Responsible AI, climate change, and media analytics, with emphasis on ethical machine learning and computational social sciences. She holds multiple patents in display technologies and adaptive systems. Soudi promotes equity through inclusive curriculum design and mentorship. She teaches courses on media audiences, AI, and entrepreneurship.

Li-Tien Chengمشاهده پروفایل

استاد

• Scientific Computing
• Level Set Methods
• Numerical PDEs
• +۳ مورد دیگر

Li-Tien Cheng is a Professor in the Department of Mathematics at the University of California, San Diego. He obtained his Ph.D. from UCLA in 2000, following earlier MA and BS degrees from the same institution in 1996. His primary affiliation has been with UC San Diego where he maintains an active research program and teaches graduate-level courses in numerical analysis. His research specializes in mathematical methods for scientific computing, with core expertise in level set methods , numerical partial differential equations , and image processing . These techniques are applied across diverse domains including biomolecular modeling, wave propagation, materials science, and computational geometry. Key application areas include: Implicit solvation models for biomolecules High-frequency wave propagation and geometric optics Dislocation dynamics in materials science Visibility optimization in computer vision Professor Cheng's publications demonstrate consistent methodological innovation in level set techniques from 2001-2009. His most recent work (2007-2009) focuses on biomolecular applications, developing variational implicit solvent approaches for studying hydrophobic interactions and ligand binding. Earlier publications established fundamental algorithms for wavefront propagation, anisotropic media modeling, and materials defect simulations. The research consistently combines theoretical PDE analysis with practical computational implementations.

Tracy Everbachمشاهده پروفایل

استاد

• Gender and Race in Media
• Newsroom Management
• Sports Journalism
• +۳ مورد دیگر

Tracy Everbach is a Professor of Print and Digital Journalism at the University of North Texas (UNT), specializing in gender, race, and media representation. She holds a Ph.D. from the University of Missouri and has over 20 years of professional journalism experience, including 14 years at The Dallas Morning News. Her research focuses on media portrayals of gender and race, newsroom management, and sports coverage. She has authored/co-authored influential books including Mediating Misogyny: Gender, Technology & Harassment (2018) and Testing Tolerance (2020). Education: Ph.D. in Journalism, University of Missouri (2004) M.A. in Journalism, University of Texas at Austin (2000) B.S. in Journalism, Boston University (1984) Research interests prioritize intersectional analysis of media narratives, with a focus on gender equity in sports journalism, racial justice reporting, and the evolving role of newsroom leadership. Her work critiques systemic biases in media representation and advocates for inclusive storytelling practices. Her award-winning journalism career includes investigative projects on domestic violence and juvenile justice, earning recognition such as the Carole Kneeland Award and the PASS Award. She has held leadership roles including serving as head of AEJMC's Commission on the Status of Women and advising UNT's student newspaper, North Texas Daily. Her scholarly contributions span over 50 articles in prestigious journals like Journalism & Mass Communication Quarterly and American Journalism , addressing topics from paralympic athlete portrayals to media framing of social justice movements.

Man-Kwun Chiuمشاهده پروفایل

استادیار

• Algorithms
• Graph Theory
• Computational Geometry
• +۳ مورد دیگر

Man-Kwun Chiu is an Assistant Professor at Wenzhou-Kean University. He holds a Ph.D. in Computer Science from the Hong Kong University of Science and Technology. His research focuses on algorithms, graph theory, and computational geometry, with contributions to topics like graph coloring, geometric algorithms, and self-improving algorithms. Prior to his current position, he was a researcher at Freie Universität Berlin and the National Institute of Informatics in Japan. His work spans theoretical computer science, including geometric routing, polygon partitioning, and manifold reconstruction. Key publications address planar graph coloring, digital geometry, and algorithmic efficiency. Chiu's research often bridges discrete mathematics and computational geometry, with applications in optimization and algorithm design. Publications highlight contributions to geometric algorithms (e.g., Snipperclips, rectilinear link distances) and combinatorial problems (e.g., k-level complexity). His work emphasizes foundational theory with practical algorithmic implications.

• Robotics
• Mobile Robotics
• Rescue Robotics
• +۳ مورد دیگر

Walter Rokitansky is a Professor at the University of Applied Sciences Wels, Austria. He specializes in robotics with a focus on rescue applications, mobile robots, and algorithm optimization. His research includes holonomic robot design, visibility graph algorithms, and low-cost remote control systems for search-and-rescue scenarios. Key projects include the MARK - RRT-Robo-Racing Team (2007–present), which develops advanced mobility systems for rescue robots. He actively participates in RoboCup competitions, emphasizing real-world applications and interdisciplinary collaboration. Research interests span robotic navigation, emergency response systems, and educational outreach through robotics competitions. His work bridges theoretical algorithms with practical implementations in disaster scenarios. He has organized multiple conferences such as AUSTROBOT 2007/2008 and presented at workshops like INTELLIGENT MOBILITY (2013). His contributions include over a dozen research outputs since 2009, focusing on rescue robotics and autonomous systems.

• Biomedical Imaging
• Artificial Intelligence in Healthcare
• Data Mining
• +۴ مورد دیگر

Rajendra Acharya is a Professor of Artificial Intelligence in Health at the University of Southern Queensland, Australia. He also holds roles as Distinguished Professor at the International Research Organization for Advanced Science and Technology (Japan), and Adjunct Professorships at the University of Malaya (Malaysia) and Asia University (Taiwan). His research focuses on biomedical imaging, signal processing, health informatics, and AI-driven healthcare solutions. He holds qualifications including BEng (Mysore, 1989), MTech (Manipal, 1998), PhDs from NIA (2002) and Chiba (2007), and a DSc (AGH, 2020). His work has attracted over $6M in grants and resulted in 600+ publications, including 550+ journal articles and 17 books. He maintains an h-index of 130 with 67,000+ Google Scholar citations. Key research areas include AI applications in medical diagnostics (e.g., cancer detection, neurological disorders), signal processing for healthcare, and interdisciplinary collaborations in biophysics and health systems. His articles explore topics like EEG-based disease detection, deep learning for medical imaging, and AI-driven health monitoring systems. Awarded top 1% Highly Cited Researcher (2016–2022), he serves on editorial boards of journals and guest-edits AI-focused issues. Current projects include AI frameworks for depression detection, airport operations optimization, and student academic progress prediction in education.

Nidhal C. Bouaynayaمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Big Data Analytics
• +۵ مورد دیگر

Nidhal C. Bouaynaya is a Professor at Rowan University's Henry M. Rowan College of Engineering, holding dual roles as Associate Vice President for Artificial Intelligence and Director of MAVRC. She leads the Electrical & Computer Engineering department and focuses on AI-driven research in health informatics and engineering systems. Education: Ph.D. & M.S. in Electrical & Computer Engineering (University of Illinois at Chicago), M.S. in Pure Mathematics (UIUC), B.S. in Electrical Engineering (ENSEA, France). Research: Specializes in AI, Machine Learning, Big Data Analytics, and Medical Imaging. Her work includes brain tumor segmentation (BRATS 2016 winner), healthcare AI applications, and aviation safety systems. She co-founded MRIMATH LLC to commercialize oncology AI solutions. Grants & Funding: Over $10M+ secured from NSF, NIH, FAA, USDA, and industry partners. Active projects include aviation safety data analysis, AI-based water resource modeling, and tumor surveillance systems. Awards: Rowan Research Achievement Award (2017), Best Paper Awards (IEEE 2019, GENSIPS 2013), and recognition for entrepreneurial ventures in AI healthcare. Students: Mentors 18+ doctoral, master's, and undergraduate researchers in AI, biomedical systems, and signal processing. Labs & Teams: Leads MAVRC (Multidisciplinary Applied Vision and Reality Computing lab) and collaborates with industry partners like Lockheed Martin and NASA on applied AI solutions.

Sourabh Bhattacharyaمشاهده پروفایل

دانشیار

• Robotics
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Sourabh Bhattacharya is a Courtesy Associate Professor in the Department of Computer Science at Iowa State University. His research focuses on robotics, autonomous systems, game theory, and motion planning. He holds a Ph.D. in Electrical and Computer Engineering from the University of Illinois, Urbana-Champaign (2010), alongside multiple master's degrees in related fields. Education: Ph.D., Electrical and Computer Engineering, University of Illinois, Urbana-Champaign (2010) M.S., Applied Mathematics, University of Illinois, Urbana-Champaign (2009) M.S.E.E., University of Illinois, Urbana-Champaign (2005) B. Tech., Indian Institute of Technology, Bombay (2002) Research Interests: Bhattacharya specializes in robotics and autonomous systems, with a focus on visibility-based target tracking, game-theoretic strategies for multi-agent systems, and security games. His work integrates motion planning, optimization, and sensor networks to address challenges in autonomous navigation and adversarial scenarios. Recent contributions include distributed coverage strategies, relay pursuit algorithms, and cybersecurity resource allocation in critical infrastructure systems. Publications: His recent work emphasizes multi-agent systems and security games, reflecting a trend toward real-world applications in autonomous robotics and resilient networked systems. Key themes include adaptive tracking strategies, game-theoretic resource allocation, and optimization under adversarial conditions. Advising & Grants: While specific grants or student advisees are not detailed in the provided text, his extensive publication record suggests active involvement in research teams and collaborations. Labs & Teams: His research aligns with robotics and autonomous systems groups, focusing on theoretical and applied challenges in multi-agent coordination and security-aware autonomy.

Céline Portenier Dizerensمشاهده پروفایل

پژوهشگر

• Remote sensing of snow
• Image processing
• Computer vision

Dr. Céline Portenier Dizerens is a PostDoc researcher at the University of Bern's Institute of Geography, specializing in Climatology. Her research focuses on remote sensing applications for snow cover monitoring, image processing, and computer vision. She leads projects such as high-resolution snow line tracking in the Swiss Alps using webcams and thermal imaging for visibility estimation. Her academic background includes a PhD, though specific details are not provided. She collaborates on interdisciplinary projects, including the BernClim plant phenological dataset and historical climate analyses of extreme weather events like the 1956 Cold Wave. Publications highlight her work in The Cryosphere , Proceedings of SPIE , and edited volumes on historical weather extremes. Her research bridges technological innovation (e.g., webcam networks) with environmental and climatological insights. No scientific awards are listed, but her contributions to data-driven environmental monitoring are notable. She has no listed advisees or grants in the provided texts. She is affiliated with the Climatology department and utilizes advanced imaging techniques to address challenges in climate and environmental science.