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Bradley J. EricksonView profile

Professor

• Quantitative Imaging
• Computer-Aided Diagnosis
• Deep Learning
• +3 more

Bradley J. Erickson, M.D., Ph.D. Bradley J. Erickson is a Professor of Radiology and Consultant at the Mayo Clinic in Rochester, Minnesota. He holds a joint appointment in the Division of Biomedical Statistics and Informatics. His research focuses on quantitative imaging, computer-aided diagnosis, and deep learning applications in medical imaging. He has pioneered systems for team science integration across imaging, genomics, and clinical data. Education MD/PhD in Biophysics/Biomedical Engineering, Mayo Graduate School Residency in Diagnostic Radiology, Mayo Clinic Research Interests Erickson's work emphasizes extracting diagnostic and prognostic information from medical images using machine learning and AI. Key areas include: Polycystic Kidney Disease (PKD) progression analysis via imaging Development of explainable AI models for cancer diagnosis (e.g., hepatocellular carcinoma) Privacy-preserving LLMs for echocardiography reports Awards & Recognition Team Science Award, Mayo Clinic (2020) Samuel J. Dwyer III, Ph.D., FSIIM Memorial Lectureship (2013) Chair, American Board of Imaging Informatics (2013–2018) Grants & Projects Principal Investigator for NIH-funded projects on synthetic medical images in AI fairness (2024–2025) Mayo Translational PKD Center (2010–2020) Objective decision support for clinical trials (2012–2015) Labs & Affiliations He leads the Imaging and Analysis Core within the Mayo Clinic Pirnie Translational PKD Center. Collaborates with teams in computational biology, radiology informatics, and clinical trials.

• Cinema Studies
• Armenian Cultural Representation
• Existential Themes in Film
• +3 more

Atom Egoyan is a renowned Armenian-Canadian filmmaker and academic, currently serving as Professor of Film at The European Graduate School (EGS). He has held teaching roles at the University of Toronto and is a Distinguished Scholar in Residence at Ryerson University. His work interrogates themes like technology's distortion of human communication, Armenian cultural memory, and existential anxiety. Egoyan's films often blend psychological complexity with formal innovation, earning him international acclaim. Educated in International Relations at Trinity College, University of Toronto, Egoyan's artistic journey began with his 1979 short film Howard in Particular . Notable films include The Sweet Hereafter (Academy Award-nominated), Ararat (first major film addressing the Armenian Genocide), and Chloe . He has published extensively, including screenplays, essays, and interviews that explore film theory and cultural narrative. Egoyan's awards include Canada's highest civilian honor (Officer of the Order of Canada, 1999) and the Dan David Prize (2008). His articles and interviews discuss directing techniques, artistic philosophy, and the interplay between personal and cultural history. Though primarily a filmmaker, his academic contributions span film education and critical discourse.

Ilker HacihalilogluView profile

Associate Professor

• Artificial Intelligence in Healthcare
• Medical Image Processing
• Machine Learning Applications
• +8 more

Dr. Ilker Hacihaliloglu is an Associate Professor in the Department of Radiology and Medicine at the University of British Columbia's Faculty of Medicine. He holds a PhD from UBC (2010) and has held faculty positions at Rutgers University (2014-2021). His research focuses on applying machine learning to medical imaging, aiming to bridge clinical and engineering research for practical healthcare solutions. Key areas include AI-driven diagnostics, ultrasound imaging, and personalized medicine. Education: B.Sc. and M.Sc., Istanbul Technical University (2001, 2004) Ph.D., University of British Columbia (2010) Postdoctoral Fellow, Vancouver General Hospital (2010-2013) Research Interests: Artificial Intelligence in Medical Imaging Ultrasound-Based Diagnostics Image-Guided Surgery Computer-Aided Diagnostics for Orthopedics and Neurosurgery His work emphasizes explainable AI, standardization in machine learning metrics, and clinical translation of technologies. Scientific Contributions: Over 35 peer-reviewed articles (2019-2025) highlight innovations in medical image segmentation, AI-driven radiomics, and cross-modality imaging. Recent trends focus on synthetic data augmentation, diffusion models for medical imaging, and curriculum development in AI for healthcare. Grants and Advising: No explicit grants mentioned, but active mentorship in interdisciplinary research teams. Collaborations span clinicians, engineers, and computer scientists to address real-world healthcare challenges. Labs/Teams: Engaged in computational ultrasound and AI-driven diagnostics initiatives, though specific lab names are not provided in the text.

Emmanuel StamatakisView profile

Research Fellow

• Neuroscience
• Neuroimaging
• Cognitive Neuroscience
• +5 more

Dr. Emmanuel Stamatakis is a Senior Research Associate at the University of Cambridge, affiliated with the School of Clinical Medicine and the Division of Anaesthesia. He maintains research ties with the Centre for Speech, Language, and the Brain (CSLB) while focusing on neuroimaging, consciousness studies, and traumatic brain injury (TBI) mechanisms. Institution: University of Cambridge Primary Affiliation: School of Clinical Medicine, Division of Anaesthesia Research Affiliation: Centre for Speech, Language, and the Brain (CSLB) Academic Rank: Research Fellow His research spans neuroscience, neuroimaging, and anaesthesia, with particular emphasis on: Consciousness dynamics under pharmacological and pathological conditions Functional and structural brain connectivity in TBI and delirium Neural mechanisms of anaesthetic agents Evolutionary and comparative neuroscience of brain states Long-term outcomes after neurological trauma Neurotechnology applications in clinical settings Recent publications reveal trends in: Quantifying consciousness through functional gradients and harmonic decomposition Linking anaesthesia-induced neural changes to clinical outcomes Exploring genetic and inflammatory factors in TBI recovery Multi-modal imaging approaches to neurological disorders Translational studies bridging animal models and human conditions Methodological advancements in brain network analysis

• Environmental Science
• Public Policy
• Science Communication
• +4 more

K. L. Akerlof is an Associate Professor at George Mason University's Department of Environmental Science & Policy, specializing in Science Communication for Policy, Public Participation, and Evidence-Based Policymaking. With a PhD in Environmental Science & Public Policy from George Mason University (2012), they lead the 'Communication for Environmental Science, Policy, and Human Behavior' concentration in the master's program. Research Areas: Environmental Science, Science Communication, Evidence-Based Policy Education: PhD in Environmental Science & Public Policy (2012) Current research examines science communication at the intersection of governance, risk communication, and policy-making through three dimensions: (1) science advice to policymakers, (2) public participation in scientific decision-making, and (3) social science applications for government programs. Their work includes NSF-funded studies on equity in federal research, National Park Service collaborations on sun protection behaviors, and IDIA-backed big data analysis of legislative science advice. Select publications reveal a focus on legislative science advice, equitable co-production, risk communication, and environmental policy implementation. Methodologies span case studies, natural language processing, and transdisciplinary frameworks. 2021: ComSHER 3rd Place Faculty Paper 2016-2017: AGU/AAAS Congressional Science Fellowship Teaching emphasizes developing students' skills in navigating dynamic information environments through courses like 'Tackling Wicked Problems in Society & the Environment' (EVPP 336) and 'Evidence-based Environmental Policymaking' (EVPP 530). Their LinkedIn profile and personal website (Communicating Science for Policy) provide additional professional context.

Thomas ByrdView profile

Assistant Professor

• Artificial Intelligence in Healthcare
• Patient Safety and Deterioration
• Clinical Informatics
• +3 more

Thomas Byrd, MD, MS, serves as Assistant Professor in the Division of Hospital Medicine within the Department of Medicine at the University of Minnesota School of Medicine. His academic work bridges clinical practice with cutting-edge informatics research, focusing on improving hospital-based care through technological innovation and data-driven approaches. Dr. Byrd's research program centers on artificial intelligence applications in surgical and critical care settings, patient deterioration detection systems, and secure clinical communication technologies. His investigations span validation of deterioration index models, barriers to secure messaging adoption, AI-driven radiology follow-up systems, and earlier work in medical imaging and biomedical engineering. This multidisciplinary focus aims to enhance patient safety through real-time monitoring, workflow optimization, and predictive analytics in hospital environments. Analysis of his 15 most recent publications (2014-2024) reveals an evolving research trajectory from biomedical engineering foundations toward AI-driven clinical solutions. Key thematic clusters include: (1) AI applications in surgery and critical care triage; (2) patient deterioration monitoring systems; (3) secure mobile communication adoption; and (4) earlier biomedical engineering work in medical imaging and drug delivery systems. The publications demonstrate increasing focus on translational informatics with strong emphasis on real-world implementation challenges. Scientific Awards: No scientific awards documented in available source material Advising and Grants: While Dr. Byrd's role as faculty suggests potential advising responsibilities, no student names or grant funding details appear in the provided documentation. His research output indicates active investigation in clinical informatics but specific mentoring activities or funded projects remain unspecified in the source text. Laboratory and Team Affiliations: Dr. Byrd is institutionally anchored in the Division of Hospital Medicine at the University of Minnesota, though specific laboratory facilities or dedicated research teams are not described. His collaborative work appears cross-disciplinary, spanning departments of medicine, surgery, radiology, and biomedical engineering as evidenced by publication topics.

Wendy HellerView profile

Professor

• Cognitive Neuroscience
• Emotion-Cognition Interactions
• Neuroimaging
• +7 more

Wendy Heller is a Professor of Psychology at the University of Illinois at Urbana-Champaign, affiliated with the Cognitive Neuroscience Group at the Beckman Institute (part-time), Gender and Women's Studies, Biomedical and Translational Sciences, and the Institute for Sustainability, Energy, and Environment. She previously served as Director of Clinical Training and Department Head in the Psychology Department, and as Provost Fellow for diversity initiatives. B.A. in Spanish and Psychology with Honors, University of Pennsylvania M.A. and Ph.D. in Biopsychology, University of Chicago Her research focuses on neural mechanisms of emotion-cognition interactions in psychopathology, particularly anxiety and depression. Using fMRI, EEG, and ERP methods, she investigates brain lateralization, network connectivity, and top-down emotional regulation. A pioneer in inclusive science , she integrates equity considerations into psychology research frameworks. The 2010-2025 publications demonstrate sustained contributions to anxiety/depression neuroscience , with recurring themes in executive dysfunction , emotion regulation , neural plasticity , and transdiagnostic models . Her work bridges clinical psychology and cognitive neuroscience through methodological innovations in machine learning applications to neuroimaging. Scientific recognition includes: Larine Y. Cowan Make a Difference Award (2010) Arnold O. Beckman Research Award (2013) Executive Officer Distinguished Leadership Award (2019) PRESIDENT’S EXECUTIVE LEADERSHIP PROGRAM (2019-20) LAS Impact Award (2021) As director of the Cognitive & Affective Neuroscience of Psychopathology (CANOPY) Lab , she leads research on brain mechanisms in mental health, funded by NIMH and NIDA. Her team employs multi-modal approaches combining behavioral tasks, neuroimaging, and clinical assessments.

Ewa ChruscielView profile

Professor

• World Poetry
• Comparative Literature
• Creative Writing
• +5 more

Ewa Chrusciel is a Professor at Colby-Sawyer College’s School of Arts & Sciences, joining the faculty in 2006. Holding the M. Roy London Endowed Chair, she specializes in world poetry, translation, and cognitive poetics, blending interdisciplinary and international approaches. Ph.D. in Literary Studies and Contemporary Poetry from Illinois State University M.A. in English Philology from Jagiellonian University, Poland Her research spans pre-modern, modern, and postmodern world poetry , comparative literature , and neurological theories of aesthetic experience . She teaches creative writing, world literature, and poetry, emphasizing bilingualism and translation. Recent academic work includes presentations on translating Polish poetry , religious references in verse , and cognitive embodiment in literary forms . Her poetry has been translated into Vietnamese, Hungarian, and Italian. 2016: Nomination for Best of Net Anthology 2014: Pushcart Prize nomination 2013: Second place in 'Nakręć wiersz' Poetry Competition 2011: Finalist in Sow’s Ear Poetry Contest 2009: Winner of Emergency Press Contest

Donald E. BrownView profile

Professor

• Data Fusion
• Knowledge Discovery
• Predictive Modeling
• +5 more

Donald E. Brown is the W.S. Calcott Professor in the Systems and Information Engineering Department at the University of Virginia, serving as Founding Director of the Data Science Institute and Co-Director of the Translational Health Institute of Virginia. He holds a B.S. from the United States Military Academy (1973), M.S. and M.E. from UC Berkeley (1979), and a Ph.D. from the University of Michigan (1985). His research focuses on data fusion, knowledge discovery, and predictive modeling with applications in healthcare, security, and safety. Dr. Brown leads over 90 federal/state/private research projects, publishes extensively (120+ papers, 2 books), and is a Fellow of the IEEE. He has received prestigious awards including the Norbert Wiener Award and IEEE Millennium Medal. His work bridges academia and industry through Commonwealth Computer Research, Inc., providing data analysis services. He advises on national committees including the National Research Council and the NRC Committee on Transportation Security. His teaching excellence was recognized by students three times as 'best undergraduate teacher' (2001–2003). Research Interests: Data Fusion, Knowledge Discovery, Simulation Optimization, Machine Learning, Predictive Analytics Publications: Focus on healthcare analytics (e.g., Long COVID, tuberculosis, histopathology), AI-driven medical imaging (capsule endoscopy, eosinophil segmentation), and cybersecurity applications. Awards: IEEE Joseph Wohl Career Achievement Award (2017), Governor's Technology Award (1999), Norbert Wiener Award (2002). Grants/Projects: Over 90 funded projects on data science, healthcare tech, and security systems. He leads interdisciplinary initiatives like the iTHRIV Commons for health data sharing and develops AI tools for medical diagnostics at UVA. Current work includes AI in cardiovascular disease prediction, perioperative data digitization for LMICs, and real-time anomaly detection in healthcare systems.

• Natural Language Generation
• Artificial Intelligence
• Machine Learning
• +7 more

Dr Yaji Sripada is a Senior Lecturer in the School of Natural and Computing Sciences at the University of Aberdeen. His research integrates artificial intelligence, machine learning, natural language generation (NLG), and information visualization to enhance human-machine communication, particularly in automating data science workflows and ensuring model transparency. His research interests are centered on Natural Language Generation , Explainable AI , Human-Computer Interaction , and Fairness, Accountability, and Transparency in AI . He has pioneered work in generating textual summaries from complex data, especially in healthcare and environmental monitoring. His research bridges technical AI development with real-world applications in public transport, neonatal care, and digital governance. His recent publications (2023–2025) reflect a strong trend towards AI ethics , regulatory policy , and the integration of large language models (LLMs) in public infrastructure and automated verification. He also holds multiple patents in NLG and data processing technologies, underscoring his translational research impact. Dr Sripada is a co-founder of Arria NLG, a leading company in data-to-text technology, and has advised numerous researchers and students in AI and NLG. His collaborative work spans disciplines including computer science, environmental science, transportation, and law. He has contributed to policy discussions on AI regulation and copyright, demonstrating engagement with societal implications of AI. His work on bias amplification in generative AI highlights his commitment to responsible innovation. His research has been applied in diverse domains, including neonatal intensive care (e.g., BT-Nurse system), rural transport systems (e.g., TravelBot), and environmental data communication (e.g., river level reporting). He continues to lead innovative projects at the intersection of AI, data science, and human-centered design.

Virginie ROCHE-TIENGOView profile

Lecturer

• Irish theatre from the 17th to the 21st century
• Myths and borders
• Writing and language
• +6 more

Virginie ROCHE-TIENGO is a Lecturer in English Studies at Artois University, Faculty of Foreign Languages and Civilizations, where she has taught since 2022. Prior to this, she served at University of Paris 13 (Sorbonne Paris Nord) from 2004 to 2022, holding significant administrative positions including Vice-Dean for International and Institutional Relations (2018-2022) and Head of Master's programs. Her academic career spans over two decades with specialized expertise in Irish theater studies, particularly focusing on Brian Friel's works and Irish cultural representation. Her educational background features: 2003: Doctorate in Anglophone Studies from the University of Paris 4 Sorbonne. Dissertation: "The Lost Unity: Poetics of Myth in the Work of Irish Playwright Brian Friel." Supervised by Professor Élisabeth Angel-Perez. Awarded first class honors. Dr. ROCHE-TIENGO's research encompasses Irish theater from the 17th to the 21st century, with particular interest in myths and borders, writing and language, law and theater, enforced disappearances and diaspora, Irish theater and intercultural transfers, the Anglo-Irish conflict in visual and performing arts, dichotomies, hermeticism and transcendence in theater, and syncretism of Irish theater with other arts. Her scholarship demonstrates deep engagement with Irish cultural identity, political dimensions of theater, and the intersection of literature with legal and social frameworks across centuries of Irish dramatic production. Her publication record reveals a consistent scholarly trajectory focused on Irish theater, particularly the works of Brian Friel, while expanding into broader themes of cultural representation, diaspora, and intercultural exchange. Her research shows progression from close textual analysis of specific playwrights toward more expansive investigations of Irish cultural production in global contexts, including examinations of food representation, monetary symbolism, and the legacy of historical figures like Molière in Irish theater. The interdisciplinary nature of her work bridges literary studies, theater studies, cultural studies, and legal studies. Dr. ROCHE-TIENGO maintains active involvement in the academic community through service on scientific committees for international conferences, including the Spanish Association for Irish Studies (AEDEI) and the Nordic Irish Studies Network. Since 2023, she has served on the reading committee of the biannual scientific journal "Les Cahiers de la Nouvelle / Journal of the Short Story in English." Her international scholarly presence is evidenced by presentations at conferences across Europe, Japan, Mexico, Argentina, and the United States, reflecting the global significance of her research on Irish theater and culture.

• Human-Computer Interaction
• Social Computing
• Artificial Intelligence
• +5 more

Bongwon Suh is a Professor in the Department of Computer Science at the Korea Advanced Institute of Science and Technology (KAIST), College of Computing. With a prolific publication record spanning over two decades, Suh has established himself as a leading researcher in Human-Computer Interaction, Social Computing, and Artificial Intelligence applications. His research interests focus on Human-Computer Interaction, Social Computing, Artificial Intelligence, Large Language Models, Information Visualization, Recommender Systems, Multi-Agent Systems, and Accessibility Technologies. Suh's work often explores the intersection of social dynamics and technological systems, examining how AI and interactive systems can enhance human experiences in diverse contexts including education, entertainment, communication, and accessibility. Recent publications (2023-2025) demonstrate a strong focus on Large Language Model applications, with significant contributions in social simulation for education, conversational AI systems, multi-agent coordination, and accessibility technologies. His work frequently appears in top-tier venues including CHI, CSCW, UIST, and SIGIR, reflecting the high impact of his research. Suh has collaborated extensively with researchers across KAIST and internationally, with frequent co-authors including Changhoon Oh, Kyusik Kim, Hyungwoo Song, and Jeongwoo Ryu. His research program consistently bridges theoretical insights with practical applications, particularly in developing systems that enhance human social experiences through technology.

Boyan Paskalev BontchevView profile

Professor

• Software Architecture
• E-Learning Systems
• Adaptive Hypermedia
• +5 more

Boyan Paskalev Bontchev is a Professor in the Department of Software Technologies at Sofia University's Faculty of Informatics. With a PhD in Computer Science from the Center of Informatics and Computer Technology - Bulgarian Academy of Sciences, he has established himself as a prominent academic in software engineering and educational technology fields. His academic career includes teaching Java Server/Side Programming and OOAD-UML courses at Sofia University and New Bulgarian University since 2000. Professor Bontchev's research focuses on e-learning systems, adaptive hypermedia, and software architecture. His work centers around developing self-adaptive educational platforms, with significant contributions to the ARCADE e-learning platform that complies with IEEE LTSA standards. He has published extensively on topics including courseware composition, learning content interoperability, and assessment frameworks, demonstrating a consistent research trajectory in educational technology systems. His publications reveal a strong emphasis on practical applications of educational technology, particularly in self-adaptive hypermedia navigation, e-learning courseware delivery, and assessment interoperability. The research shows progression from foundational work on software architecture to increasingly sophisticated adaptive learning systems that incorporate learner modeling and personalized educational experiences. Professor Bontchev maintains active industry connections, having worked as a software engineer and project manager at companies including Rila Solutions, ESDI Ltd., and OBLOG Software Ltd. His international experience includes research stays at the University of Vienna and Technical University of Aachen, contributing to his broad perspective on educational technology development. With proficiency in multiple programming languages and environments including Java, JSP, Oracle, and web technologies, he bridges theoretical computer science with practical educational applications. His multilingual capabilities (English, Portuguese, German, Russian, Spanish) further enhance his international research collaborations and academic contributions.

Alexander SteenView profile

Assistant Professor

• Computational Logic
• Automated Reasoning
• Theoretical Computer Science
• +7 more

Alexander Steen is an Assistant Professor (Juniorprofessor) at the University of Greifswald within the Institute of Mathematics and Computer Science. His research focuses on computational logic, automated reasoning, and theoretical computer science, with significant contributions to higher-order logic (HOL) and non-classical reasoning systems. He leads the development of the Leo-III automated theorem prover, a versatile system supporting classical HOL with choice, polymorphic logics, and higher-order modal/deontic logics. Steen's academic journey includes a Dr. rer. nat. (summa cum laude) from Freie Universität Berlin (2018), followed by post-doctoral work at the University of Luxembourg (2018-2021) as a principal investigator for the AuReLeE project on legal reasoning automation. He holds a 2024 nomination for the University of Greifswald Teaching Award and was elected Fellow of the Academy of Sciences and Humanities in Hamburg (2022). Key Research Areas: Higher-Order Logic, Automated Reasoning, Non-Classical Logics, Legal Tech, Formal Methods in AI, Computational Ethics. Major Projects: Leo-III (DFG-funded automated prover), AuReLeE (FNR-funded legal reasoning), MET (modal logic embedding tool). His recent publications (2025-2022) explore diverse applications of HOL in non-classical reasoning, legal formalization, argumentation frameworks, and TPTP infrastructure extensions. Steen actively contributes to AI governance as co-speaker of the GI AI section and deputy member of Greifswald's Senate. He also engages in science communication through works like the 2024 science comic book Was wissen wir schon (What Do We Know?), featuring his automated reasoning research. Scientific Honors: CLAR 2023 Best Paper Award, IRIS 2020 LexisNexis Best Paper Award, CASC-27 LTB Division Winner, Woody Bledsoe Travel Awards (CADE 2018, 2016), GI Junior Fellowship (2018). Advising: Supervises ongoing PhD/MSc/BSc theses in logic-based AI, modal reasoning, and legal tech at University of Greifswald and Freie Universität Berlin.

• Language Usage Science
• Phonology
• Morphology

Prof. Dr. Gencer Elkılıç is a Full-time Professor at the Department of Western Languages and Literatures within the Faculty of Arts and Sciences at Kafkas University , Turkey. With a career spanning over two decades at the same institution since 2001, he has held administrative roles including Dean, Department Chair, and Director of Vocational Schools. His academic journey began with a PhD in English Language Teaching from Atatürk University (2000), preceded by an MA in Teaching English as a Foreign Language (1995) and BA in Foreign Language Education (1990).