جست‌وجوی استاد و پژوهشگر

Cathy Samayoaمشاهده پروفایل

استادیار

• Transdisciplinary Health Equity Research
• Biomarkers of Stress
• Premature Aging
• +۳ مورد دیگر

Dr. Cathy Samayoa is an Assistant Professor at San Francisco State University (SFSU), focusing on transdisciplinary health equity research. Her work emphasizes biomarkers of stress, premature aging, and resilience mechanisms in marginalized populations, particularly Latinas with breast cancer. She holds a Ph.D. from the University of Texas Health Science Center at San Antonio. Her research spans both clinical and community-engaged approaches, including NIH-funded studies using the All of Us dataset to explore breast cancer disparities. She leads interventions like the Nuevo Amanecer-II RCT, which employs peer-delivered stress management strategies for rural Latina survivors. Dr. Samayoa also investigates estrogen receptor β agonists' therapeutic potential in preclinical models of breast cancer progression. Key themes in her work include culturally tailored interventions, biospecimen collection challenges among Spanish-speaking populations, and the role of social determinants in health outcomes. She advocates for community-based participatory research (CBPR) to address systemic inequities in cancer care and survivorship.

Devin Johnstonمشاهده پروفایل

استاد

• Modernism
• Pastoral Traditions
• Ecology
• +۲ مورد دیگر

Devin Johnston is a Professor and Eugene A. Hotfelder Professor in the Humanities at Saint Louis University , specifically within the College of Arts and Sciences, Department of English . His work bridges literary scholarship with creative poetic practice. B.A., Oberlin College (1992) M.A., University of Chicago (1994) Ph.D., University of Chicago (1999) Johnston’s research focuses on Modernism , Pastoral Traditions , Ecology , and Prosody . He explores intersections between contemporary American and British poetry and environmental themes, often examining how poetic form engages with natural and philosophical frameworks. His publications reveal a trajectory of ecocritical inquiry and linguistic experimentation , particularly in works like Mosses and Lichens (2019) and Precipitations (2002). Themes span botanical studies , spatial narratives , and philosophical poetry , with a consistent focus on modernist techniques and interdisciplinary approaches .

Helen De Cruzمشاهده پروفایل

استاد

• Philosophy of Religion
• Philosophy of Cognitive Science
• Experimental Philosophy
• +۳ مورد دیگر

Helen De Cruz is a Professor of Philosophy and the Danforth Chair in the Humanities at Saint Louis University's College of Arts and Sciences. Her research focuses on the philosophy of religion, cognitive science, and experimental philosophy. She holds a PhD from the University of Groningen (2011) and the Free University of Brussels (2007), and a Master’s from Ghent University (2000). Her work bridges philosophy with empirical sciences, examining topics like religious cognition, science-religion interactions, and the cognitive foundations of moral and theological reasoning. De Cruz has received significant grants, including a John Templeton Foundation grant (2017–2020) for research on evolution and ethics, and a British Academy Postdoctoral Fellowship (2013–2015). She serves as Executive Editor for the Journal of Analytic Theology and Managing Editor for Faith and Philosophy . Her publications include influential books like Religious Disagreement (2019) and A Natural History of Natural Theology (2015, co-authored). Her research interests emphasize interdisciplinary approaches to religious belief, including studies on intuitive reasoning, epistemic disagreement, and the cognitive underpinnings of theological concepts. She explores how evolutionary and cognitive perspectives inform debates about religious diversity, scientific practice, and moral philosophy. Her recent work also engages with science fiction, aesthetics, and global philosophical traditions to broaden philosophical inquiry.

Paulo Jorge Teixeira Matosمشاهده پروفایل

استاد

• Technological Innovation Entrepreneurship
• Intelligent Decision Support Systems
• Web Semantic
• +۳ مورد دیگر

Paulo Jorge Teixeira Matos is a Professor at the Polytechnic Institute of Bragança's Informatic and Communication Department, where he has held a faculty position since 1996. With a PhD in Technologies of programming (2005) and over 40 indexed publications, he bridges academic research with entrepreneurial ventures. His educational background includes: Industrial Electronic Engineering (1994) M.Sc. in Informatics (1999) PhD in Technologies of programming (2005) Matos's research centers on Intelligent Decision Support Systems , Web Semantic , IoT , and Industry 4.0 , with dominant focus on technological innovation entrepreneurship . His work consistently translates theoretical frameworks into practical applications through startups and industry collaborations, emphasizing real-world problem-solving in smart environments and resource optimization. Analysis of his 60+ publications reveals strong trends in smart environmental systems (comfort management, energy efficiency), sports technology immersion, and agricultural/disease control solutions. His interdisciplinary approach integrates computer science with medicine, agriculture, and finance, demonstrating exceptional versatility across domains. He has supervised over 180 students across academic levels and secured participation in major projects including Grace, Arum, Smart-LEM, Smart-Light, and AgriFood. His entrepreneurial leadership spans Techwelf (founded 2013, as CTO/CEO) and Aresta Binária (founded 2017, as CTO), developing products like Welfy HVAC controllers and Pin2Give marketplace that gained international recognition through EDP Innovation and Boston Global Immersion programs.

Rian Brown-Orsoمشاهده پروفایل

دانشیار

• Experimental Film
• Documentary Film
• Animation
• +۴ مورد دیگر

Rian Brown-Orso is an Associate Professor of Cinema and Media at Oberlin College, where she teaches experimental filmmaking, documentary production, and time-based art. She holds a BFA from Massachusetts College of Art (1994) and an MFA in Film from UC San Diego (2000). Her work bridges visual art and cinema, focusing on women’s issues, social justice, and innovative animation techniques. Key research projects include The Foreigner’s Home (2017), a documentary exploring Toni Morrison’s artistic vision, and Blue Desert , a National Geographic-supported Antarctic expedition film. She co-founded the Apollo Outreach Initiative to engage urban youth in media education and spearheaded the 2012 renovation of Oberlin’s Historic Apollo Theater. Her awards include three Ohio Arts Council Individual Excellence Awards and the Best Documentary Prize at the Seattle Jewish Film Festival. Brown-Orso’s films have screened globally at venues like the Rotterdam Film Festival, British Film Institute, and Harvard Film Archive.

• Social History
• Economic History
• Digital Humanities
• +۳ مورد دیگر

Wouter Ryckbosch is a Professor at Vrije Universiteit Brussel (VUB), affiliated with the Department of History within the Faculty of Arts and Philosophy. His research focuses on social and economic history, digital humanities, and urban studies, with particular emphasis on the Low Countries' historical dynamics. He leads major projects like the Brussels Centre for Urban Studies (BCUS) and the Living with Capitalism initiative, exploring inequality and urban development from the medieval to modern eras. Ryckbosch’s recent work combines quantitative analysis with digital tools, as seen in studies on wealth mobility and historical document processing using LLMs. He has over 64 publications and contributes to interdisciplinary research networks, emphasizing collaboration across historical disciplines. Despite a notable h-index of 7 and 228 citations, no formal awards are listed. His research bridges past and present, addressing themes like energy use, labor systems, and citizen science in historical contexts.

Christopher Gundlerمشاهده پروفایل

پژوهشگر

• Medical Informatics
• Parkinson's Disease
• Data Synthesis
• +۳ مورد دیگر

Christopher Gundler is a researcher affiliated with the University of Hamburg's Faculty of Medicine, specifically within the Institute for Applied Medical Informatics at the Center for Experimental Medicine. His work focuses on integrating cutting-edge technologies like wearable sensors, machine learning, and synthetic data generation into healthcare applications. Key research areas include Parkinson's disease monitoring through innovative devices such as e-textiles and sensor-equipped caps, 3D-printed drug development with machine learning assistance, and privacy-preserving data synthesis methodologies. He contributes to both fundamental research in biomedical informatics and translational projects targeting clinical needs. Gundler collaborates across disciplines, addressing challenges in multimodal data integration, ethical data use, and reproducible evaluation frameworks for healthcare technologies. His research employs advanced computational techniques such as Bayesian forecasting for animal welfare studies and large language models for clinical data visualization platforms. He actively explores the ethical and technical boundaries of leveraging secondary clinical data for public health insights, while advancing personalized medicine through patient-individual drug manufacturing solutions. Gundler's work bridges gaps between engineering innovations and clinical practice, aiming to improve patient outcomes through technology-driven healthcare solutions.

• Recommender Systems
• Federated Learning
• Augmented Reality Applications
• +۵ مورد دیگر

Dr. Saikishore Kalloori Saikishore is a Lecturer in the Department of Computer Science at ETH Zurich, specializing in areas such as Recommender Systems, Federated Learning, and Augmented Reality Applications. His research focuses on developing privacy-aware collaborative systems, improving news and advertising recommendations, and enhancing user interaction through advanced AR interfaces. His work integrates machine learning techniques with real-world applications, addressing challenges like cold-start recommendations and cross-silo data collaboration. Recent contributions explore ethical AI in news curation, AR-driven tourism experiences, and federated learning frameworks for corporate environments. Notable projects include the EB-NeRD news recommendation dataset and cross-silo federated learning architectures. His research emphasizes balancing algorithmic accuracy with user-centric design principles, particularly in sequential task guidance systems and occlusion effects in AR interfaces. Professional activities include organizing RecSys Challenges (2022-2024) focused on practical recommendation problems like fashion purchase prediction and privacy-preserving ad systems. He maintains active collaborations with industry partners to bridge academic research and real-world deployment.

• Computer Vision
• Machine Learning
• Human Motion Modeling
• +۳ مورد دیگر

Korrawe Karunratanakul is a researcher at the Computer Vision Lab of ETH Zürich , focusing on advanced computational methods at the intersection of computer vision, machine learning, and human motion modeling. His work addresses fundamental challenges in physics-based character control, hand reconstruction, and human motion synthesis through innovative generative approaches. His research portfolio demonstrates expertise in: Applying diffusion models for controllable motion generation Developing neural representations for articulated hand reconstruction Advancing code-switching speech recognition systems Creating hybrid algorithms for peptide sequencing Recent publications highlight his specialization in physics-based animation, temporal coherence for motion sequences, and implicit modeling of complex biological structures. His interdisciplinary work spans computer science, bioinformatics, and computational linguistics.

• Cloud Computing
• Distributed Systems
• Cybersecurity
• +۳ مورد دیگر

Ramin Yahyapour is a researcher affiliated with the University of Göttingen and GWDG (Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen). His work focuses on cloud computing, distributed systems, cybersecurity, and high-performance computing. Key research areas include virtual machine migration optimization, data center energy efficiency, federated identity management, and parallel computing frameworks. He has collaborated extensively with institutions like the University of Göttingen and researchers such as Philipp Wieder, Faraz Fatemi Moghaddam, and Andrei Tchernykh. Research Interests: Cloud resource optimization Cybersecurity for distributed systems Workflow management in data-intensive environments Network function virtualization Machine learning for system scheduling Identity and access management Publications span topics like VM placement algorithms, data center power reduction, and federated identity systems, demonstrating expertise in both theoretical and applied computer science. His work often bridges academia and industry, addressing real-world challenges in cloud infrastructure and digital systems.

Katharina Breiningerمشاهده پروفایل

استادیار

• Artificial Intelligence
• Medical Imaging
• Computer Vision
• +۳ مورد دیگر

Katharina Breininger is an Assistant Professor (W1) for Artificial Intelligence in Medical Imaging at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), leading the AIMI@FAU Lab within the Department of Artificial Intelligence in Biomedical Engineering. She holds a doctoral degree from FAU's Pattern Recognition Lab, focusing on machine learning and deformation modeling in medical imaging. Her research emphasizes AI applications in interventional imaging and digital pathology, particularly addressing challenges in domain generalization and cross-platform compatibility. Education: PhD in Computer Science (2018), FAU Erlangen-Nürnberg, supervised by Prof. Dr.-Ing. Andreas Maier Research Interests: Computer vision and deep learning for medical imaging Domain adaptation in histopathology and interventional radiology AI-driven diagnostic tools for oncology and cardiology Labs/Teams: AIMI@FAU Lab: Focuses on AI in biomedical engineering and medical imaging workflows Collaborations: Siemens Healthineers: Joint projects on clinical imaging applications Johns Hopkins University: Collaborations on tomographic reconstruction

TUĞÇE TUTARمشاهده پروفایل

مدرس

• Physiology
• Stress Physiology
• Pharmacology
• +۴ مورد دیگر

Tuğçe Tutar is a Lecturer at Bingöl University's Faculty of Veterinary Medicine, Department of Physiology since 2020. She holds a PhD in Physiology from Inonu University and has prior experience as a Research Assistant (2014-2020) and Veterinarian at the Ministry of Agriculture and Forestry (2013-2014). Her teaching responsibilities include Physiology I/II, Biophysics, and Physiological Psychology courses with combined theoretical and practical hours. Research interests focus on stress physiology, cortisol measurement methods, pharmacological interventions in tissue damage, and antioxidant mechanisms. She has published 8 peer-reviewed journal articles between 2017-2022, including studies on astaxanthin's protective effects, favipiravir toxicity, and vaccine antibody responses. Presentations include 11 international and 8 national conference contributions on topics like hair cortisol measurement optimization and sympathetic nervous system activity analysis. Collaborative work includes co-authorship on a book chapter about avian egg uses in prenatal stress models. Foreign language proficiency includes YÖKDİL Health English (75.0 score). Current research actively explores biomarkers of stress, pharmacological agents' effects on organ systems, and veterinary medical applications of physiological principles.

Mohammad Nayeem Teliمشاهده پروفایل

مدرس ارشد

• Computer Vision
• Machine Learning
• Data Science
• +۳ مورد دیگر

Mohammad Nayeem Teli is a Senior Lecturer in the Department of Computer Science at the University of Maryland, College Park. He holds a PhD and M.S. in Computer Science from Colorado State University and a B.E. in Electronics and Communications from National Institute of Technology, Srinagar. His research focuses on Computer Vision, Machine Learning, and Data Science, with notable projects in vaccine design using protein language models, memory-efficient diffusion models, assistive technology for visually impaired individuals, and robotic navigation in dynamic environments. He has taught courses such as Introduction to Machine Learning , Computer Vision , and Data Science , winning the Excellence in Teaching Award (2018-2019). His work includes collaborations with institutions like Harrisburg University and National Institute of Technology, Srinagar, where he previously served as an Assistant Professor. He is an IEEE Senior Member and has received awards like the Best Oral Presentation Award at IEMTRONICS 2021. His research spans vaccine design with protein models, medical imaging optimization, and assistive robotics. Current projects explore invertible diffusion models for 3D medical imaging and LiDAR-based navigation aids for the visually impaired. Publications highlight contributions to adversarial robustness in autonomous vehicles, face recognition challenges, and resource allocation in online gaming systems.

• Aesthetics
• Critical Theory
• German Romanticism
• +۴ مورد دیگر

Camilla Susanne Flodin is an Associate Professor at the Department of Religion, Philosophy and History , University of Agder. Her research focuses on aesthetics, particularly Theodor W. Adorno's theories on art, nature, and animals, alongside early German Romanticism and Idealism (Hölderlin, Schelling). She has held visiting scholar positions at Columbia University (2010) and the University of Cambridge (2014). Prior roles include researcher/teacher at Uppsala University (2014–2017) and Södertörn University (2012, 2013, 2018–2021). Research Interests span Adorno's critical theory, art-nature relations, German Romanticism/Idealism, and critical animal studies. Her work bridges philosophy, literature, and environmental thought, emphasizing ethical and aesthetic dimensions of human-nonhuman interactions. Publications include co-edited volumes like Beyond Autonomy in Eighteenth-Century British and German Aesthetics (2020) and contributions to journals such as Intellectual History Review and Adorno Studies . Recent work explores Schiller and Goethe's perspectives on animal freedom in the Goethean era. Research Groups include the Ethics and Philosophy Research Group and Sensus Communis (Literature, Aesthetics, Nature). She actively contributes to academic discussions on critical theory and interdisciplinary approaches to art and nature.

• Artificial Intelligence
• Data Science
• Biomedical Science
• +۳ مورد دیگر

Overview Dr. Juan Velasco is a Research Fellow at the Yale School of Medicine, affiliated with the Electro-Biology and Arrhythmia Therapeutics Laboratory and the Department of Internal Medicine. His research integrates artificial intelligence, data science, and biomedical science to identify biomarkers, develop novel therapeutic strategies, and advance diagnostics for cardiovascular diseases. He has contributed to studies on atrial fibrillation mechanisms, aortic dissection prediction, and surgical outcomes analysis. Professional Activities Peer-reviewed over 70 scientific articles Serves on editorial boards of journals including Frontiers in Nutrition , Frontiers in Psychology , and Journal of Gastrointestinal Cancer Presented work at the American Heart Association (AHA), European Association for Cardiothoracic Surgery (EACTS), and Society of Thoracic Surgeons (STS) Research Focus Dr. Velasco’s work spans computational drug discovery (e.g., AI-designed PARP inhibitors), cardiovascular surgical innovations (e.g., composite graft efficacy), and genetic risk factors for thoracic aortic dissection. Recent projects emphasize machine learning applications in predicting acute cardiovascular events and optimizing post-MI therapeutic strategies. Impact Media coverage of his hypertension treatment tool development (Yale Daily News, 2022) Recipient of awards from leading medical organizations (details not specified) Long-term follow-up studies demonstrating durable outcomes in aortic root replacement techniques