Daniel Wilhelm is a Professor of Statistics and Econometrics at LMU Munich, with a courtesy appointment in the Department of Economics. His research focuses on econometric theory, nonparametric methods, measurement error modeling, and statistical inference. He leads the Statistics and Econometrics Group at LMU and holds affiliations with the Centre for Microdata Methods and Practice (CeMMAP), Institute for Fiscal Studies (IFS), and the Centre for Research and Analysis of Migration (CReAM). Wilhelm’s work includes groundbreaking contributions to NPIV estimation, robust statistical testing, and the development of R and Stata packages for rank inference and econometric analysis. His recent publications address topics like rank-based inference, measurement error detection, and high-dimensional independence testing. He organizes academic events such as the Munich Econometrics Seminar and the LMU-Todai Econometrics Workshop. His research emphasizes methodological rigor and practical applications, with a focus on improving statistical techniques for social science and policy analysis.
Richard Lang is an Extraordinary Professor at the University of Bolzano within the Faculty of Economics , specializing in cooperative management, social entrepreneurship, and housing policy. He leads the Competence Center for Cooperative Management , focusing on innovative models for community-led housing and nonprofit sector development. His research emphasizes the role of social capital, institutional contexts, and collaborative governance in fostering sustainable urban and rural development. Recent work highlights his engagement with cooperative housing initiatives , including studies on social innovation in Vienna, grassroots movements in England, and rural entrepreneurship across Europe. Lang’s interdisciplinary approach bridges economics, sociology, and urban planning to address systemic challenges in housing equity, community integration, and policy implementation. Education Background: Not explicitly stated in provided texts. Labs/Teams: Competence Center for Cooperative Management (University of Bolzano). Grants/Awards: None listed in the provided texts. His articles consistently analyze the intersection of institutional frameworks and grassroots action, emphasizing how cooperative models can drive social and economic sustainability. Key themes include contextual adaptation of policies, multilevel social capital utilization, and the governance challenges in collaborative housing systems.
Paul D. Halliday is the Julian Bishko Professor of History and Professor of Law at the University of Virginia, jointly appointed in the Department of History within the College of Arts and Sciences and the Law School . He is a leading scholar in legal history, with a focus on British, imperial, and global legal developments from 1500 to 1850. BA, Wesleyan University, 1983 MA, University of Chicago, 1988 PhD, University of Chicago, 1993 His research centers on the history of legal institutions, particularly habeas corpus, judicial authority, and the role of law in empire. Halliday challenges traditional narratives by emphasizing how judicial power evolved from royal prerogative rather than as a check on monarchy. His work bridges legal doctrine, archival practice, and material culture, with current projects exploring the sensory and spatial dimensions of law, including courthouse architecture and archival procedures. His publications reveal a consistent engagement with themes of liberty, authority, and legal continuity across time and space. Notably, his book Habeas Corpus: From England to Empire (2010) has had a profound impact, influencing the U.S. Supreme Court in Boumediene v. Bush (2008), and reshaping scholarly understanding of habeas corpus as a tool of imperial governance. His recent work extends into South Asian and Caribbean legal histories, emphasizing global legal interconnectedness. Inner Temple Book Prize (2011) for Habeas Corpus: From England to Empire Sutherland Prize, American Society for Legal History (2009) for co-authored Virginia Law Review article At UVA, Halliday teaches courses such as History of English Law , Law’s Empire , and Global Legal History . He advises graduate students in legal history and is a core member of GLH@UVA (Global Legal History at the University of Virginia), an interdisciplinary community that includes faculty and students from history and law. This group fosters collaborative research, professional development, and regular discussions on works in progress, contributing to a vibrant intellectual environment.
Dr. Lesley Batty is a Reader in Ecological Education at the School of Geography, Earth and Environmental Sciences, University of Birmingham. She plays key leadership roles as Head of Wellbeing and Head of Employability and Placements within the School, reflecting her strong commitment to student development and inclusive education. Her educational background includes a PhD from the University of Sheffield, an MRes and BSc from the University of Reading, and a Postgraduate Certificate in Learning and Teaching from the University of Birmingham. She is a Senior Fellow of the Higher Education Academy and a HEFi Scholar, underscoring her excellence in teaching. Dr. Batty's research centers on the ecology of industrial pollution, particularly in post-mining landscapes. She investigates phytoremediation techniques for contaminated soils, focusing on heavy metals and polycyclic aromatic hydrocarbons (PAHs). Her work extends to ecological education, where she explores inclusive teaching practices, barriers in STEM laboratories, and the integration of employability skills into the curriculum. She is actively involved in national educational policy through her role as Lead Secretary of the British Ecological Society Special Interest Group in Teaching and Learning and as an Associate Editor for the Journal of Geochemical Exploration. Her recent publications reveal a dual focus: one stream on environmental contamination and remediation (e.g., metal and PAH pollution in brownfield sites, phytoremediation with bacteria and chelates), and another on innovative pedagogy in geography and ecology (e.g., virtual field trips, inclusive lab practices, and the future of fieldwork education). This reflects her unique position at the intersection of environmental science and educational leadership. Senior Fellow of the Higher Education Academy (HEA) HEFi Scholar Lead Secretary, British Ecological Society Special Interest Group in Teaching and Learning Dr. Batty is a dedicated educator and researcher who bridges the gap between environmental science and pedagogical innovation. She has made significant contributions to both her field of research and the national discourse on ecological education. Her leadership in student wellbeing and employability, combined with her research on pollution and inclusive learning, demonstrates a holistic approach to academic life. She actively supervises research, as evidenced by her co-authorship with doctoral researchers, and welcomes PhD applications in her areas of expertise. She is a key member of several research groups, including those focused on Physical Geography, Global Biogeochemistry, and Environmental Health Sciences at the University of Birmingham. Her collaborative work, especially in large consortia on conservation education, highlights her strong network and impact in the academic community.
Claire O'Brien is a Senior Lecturer in Computer Animation at Teesside University, affiliated with the Department of Digital Arts and Animation within the School of Computing, Engineering & Digital Technologies. She serves as Course Leader for the MA Animation program and coordinates Animex Screen, the international student film festival linked to the annual Animex event. Her academic journey includes roles at Northumbria University and South Tyneside College before returning to Teesside in 2022. Education: Bachelor of Fine Art (Painting and Printmaking), University of East London, 1997 Post-Graduate Diploma in Arts Management, Northumbria University, 2000 Master of Computer Animation, Teesside University, 2005 Postgraduate Certificate in Teaching and Learning in Higher Education (PgCTLHE), Teesside University, 2024 Fellow of Advance Higher Education (FHEA), awarded November 2024 Claire's research focuses on Animation Studies , Immersive Technologies (AR/VR/MR) for education, healthcare, and industrial training, Full-dome 360 filmmaking , and pedagogical innovation in digital arts. Her recent work explores how animated visualizations in film convey complex information through interfaces like HUDs and holograms, and how animation functions in public and cultural spaces such as cruise ships and heritage exhibitions. Her recent publications from 2023–2024 demonstrate a consistent engagement with animation as a tool for communication, cultural storytelling, and technological critique. Themes include representational vehicles, folklore in digital art, and the integration of generative AI in creative processes, particularly in health awareness contexts like menopause support. Scientific Awards and Recognitions: Fellow of Advance Higher Education (FHEA), 2024 Postgraduate Certificate in Teaching and Learning in Higher Education, Teesside University, 2024 Claire leads the MenopauseXR project funded by Innovate UK (2024–2025), which investigates the use of Generative AI and Extended Reality to support menopause awareness and education. She has no listed formal students, but her role as course leader and lecturer implies significant student mentorship. Her enterprise activity includes participation in the XR Stories XR Accelerator in 2024, focusing on commercializing mobile augmented reality research. Claire is actively involved in Animex , a major animation and games festival, where she coordinates Animex Screen. She also collaborates with cultural institutions such as the National Trust , having contributed animation and prints to the exhibition "Washington: Fact, Fiction and Folklore." Her work bridges academia, creative practice, and public engagement.
Suzi Hall is Professor of Sociology and Head of Department at the London School of Economics and Political Science (LSE). Her research explores the intersections of global migration, urban marginalisation, and racialisation, with a focus on everyday life in multicultural cities. She is a leading figure in urban ethnography and contributes significantly to debates on citizenship, public space, and migrant livelihoods. University: London School of Economics and Political Science School: Department of Sociology Academic Rank: Professor Her research interests include urbanisation, migration, racialisation, livelihoods, and ethnography, with a strong emphasis on the lived realities of marginalised communities in cities. She combines sociological theory with architectural insight, drawing from her background as a practicing architect in South Africa. The recent publications of Professor Hall reveal a consistent trajectory in urban ethnography, focusing on migrant infrastructures, gendered precarity, and the politics of urban space. Her work spans high-impact journals in sociology, urban studies, and geography, demonstrating interdisciplinary reach and methodological rigor. Themes such as super-diversity, street economies, and urban belonging recur across her scholarship, often grounded in fieldwork in London, Cape Town, and other global cities. Scientific awards and recognitions include: Philip Leverhulme Prize in Sociology (2017) ESRC Future Research Leaders award (2015–2017) LSE Student Union 'Outstanding Teacher of the Year' (2025) Rome Scholarship in Architecture (1998–1999) LSE Robert McKenzie Prize for outstanding PhD research (2010) She teaches on the MSc City Design & Social Science programme and convenes an undergraduate module on Racial Borderscapes. She is part of the Urban Sociology research cluster at LSE and welcomes PhD enquiries in her research areas, though not for the 2026–27 session. She has supervised and mentored numerous students and contributes to academic leadership as Head of Department. Her major works include the books The Migrant’s Paradox (2021) and City, Street and Citizen (2012), as well as edited volumes like The Sage Handbook of the 21st Century City . She has also contributed to public scholarship through films like Ordinary Streets and the open-access website Race, Space and Architecture .
Andrew Rau-Chaplin is a Professor and Dean of the Faculty of Computer Science at Dalhousie University, where he leads the Risk Analytics Lab and contributes significantly to research in high performance computing, parallel algorithms, and risk analytics. He is affiliated with the Institute for Big Data Analytics and has a strong academic and administrative presence. Education: Postdoc - DIMCS (Princeton, Rutgers, Bell Labs) PhD - Carleton University (1993) MCS - Carleton University (1990) BCS - York University (1986) His research focuses on applying parallel and high performance computing to data-intensive domains such as data warehousing, OLAP, catastrophe modeling, and risk analytics. He emphasizes both algorithmic design and practical system implementation, with a strong grounding in experimental evaluation. His work spans theoretical studies and real-world applications in finance, bioinformatics, and geospatial systems. The 15 most recent publications reflect a consistent focus on parallel data processing, OLAP optimization, indexing techniques (e.g., Hilbert curves), and risk modeling. Key themes include scalable data cube computation, view selection, adaptive coding, and spatial analytics, demonstrating expertise in both algorithmic innovation and systems-level performance. He has served on numerous scientific committees and grant panels, including NSERC and Compute Canada, and has been a journal editor for JPDC and DMTCS. Dr. Rau-Chaplin has supervised a wide range of graduate students in areas including risk analytics, GPU computing, text analytics, and parallel algorithms. His lab has received funding for postdoctoral, graduate, and undergraduate research positions. He teaches courses such as Parallel Computing, Software Engineering, Data Structures, and Risk Analytics, and has developed software tools like LaHave, Clustal XP, and Digital Coliseum. His lab, the Risk Analytics Lab, focuses on integrating analytics, risk management, and HPC for challenges in catastrophe modeling and financial risk. The lab leverages technologies such as stochastic simulation, optimization, and spatial OLAP.
Professor Jason Dykes is a leading figure in the field of information and geovisualization at City, University of London, where he holds the position of Professor in the Department of Computer Science and co-directs the giCentre , a renowned research centre in visualization. He is affiliated with the School of Mathematics, Computer Science and Engineering and maintains an active research and teaching profile. His academic journey includes a PhD in Geography from the University of Leicester and extensive leadership in both research and education. Education: PhD in Geography, University of Leicester, 2000 MSc in Geographic Information Systems, University of Leicester, 1991 BA/MA in Geography, University of Oxford, 1989 Jason Dykes' research is centered on designing visual methods and tools for exploring, analyzing, and presenting information, with a strong emphasis on geographic data. His work integrates cartography, information visualization, GIScience, and human-computer interaction , leading to the development of innovative techniques such as geowigs, ODmaps, BallotMaps, and AttributeSignatures. He has published extensively in top-tier journals like IEEE Transactions on Visualization & Computer Graphics, with over 20 papers in the last decade, and co-authored the seminal book Exploring Geovisualization (2005). His research is supported by major funders including EPSRC and the EU, with projects like RAMP VIS (Covid-19 response) and VALCRI (criminal intelligence). The most recent articles highlight a consistent trend in applied and human-centered visualization , focusing on responsive design, education, pandemic modeling, and novel visual metaphors for complex data. His work increasingly emphasizes methodological rigor, design exposition, and the role of visualization in interdisciplinary and emergency contexts. Scientific Awards and Recognition: National Teaching Fellow, Higher Education Academy (2005) Best Paper Awards at GIS Research UK (consecutive years) Honorable Mentions, IEEE InfoVis (2009, 2010, 2016, 2018) Security Innovation Commercialisation Award (EU, 2022) Research Supervisor of the Year, City Student Union (2020) Innovations in Teaching Award and multiple teaching grants at City Jason Dykes has supervised eight PhD students to completion and advised many others, including notable researchers like Roger Beecham, Sarah Goodwin, and Susanne Bleisch. His teaching includes modules such as Visualizing Society and Data Presentation. He has received significant grant funding from UK research councils and the EU for projects like DIVA, VALCRI, and RAMP VIS. His service to the community includes leadership roles in IEEE VIS, ICA Commission on GeoVisualization, and editorial positions at IEEE TVCG and the Journal of Visualization and Interaction. He leads the giCentre , a dynamic research group that fosters innovation in visualization, and has been instrumental in establishing the field’s educational and methodological foundations through participation in Dagstuhl seminars and publications on visualization pedagogy.
Dr. Radu Jianu is a Lecturer in the Department of Computer Science at City, University of London , where he has been a faculty member since 2016. He is affiliated with the giCentre , a leading research group in information visualization. He earned his PhD and MSc in Computer Science from Brown University, USA, and a Diploma in Engineering from the Polytechnic University of Timisoara, Romania. His academic career includes a previous role as Assistant Professor at Florida International University (2012–2016). His research focuses on Data Visualisation, Visual Analytics, and Human-Computer Interaction . He conducts interdisciplinary collaborations with domains such as biology, food policy, and energy decarbonisation, aiming to develop interactive visual tools that enhance data understanding and decision-making. His methodological approach includes user studies, eye-tracking, and the design of novel visualization techniques. Dr. Jianu teaches Programming in Java and Cognition and Technologies , and he coordinates the Programming Bootcamp. He also holds administrative responsibilities as the Progression and Support Director in the Computer Science Department and is a member of its Executive Committee (ExCo). His recent publications reflect a growing interest in LLM-assisted visual analytics, gaze-aware systems, and collaborative human-AI analytical frameworks . He has published in top venues such as IEEE TVCG, CHI, EuroVis, and Nature Immunology, with several best paper awards. His work on the RAMPVIS project highlights his contributions to visualization in public health emergencies. Scientific Awards: Best Paper Award, Symposium on Graph Drawing (2018) Best Short Paper Award, EuroVis (2020) Advising and Grants: Dr. Jianu supervises multiple PhD and MSc students, including Dany Laksono (Energy Decarbonisation) and Maeve Hutchinson (NLP-mediated Visualization). His students have co-authored high-impact, award-winning papers. He has been involved in funded research initiatives such as RAMPVIS, which received support from UKRI/EPSRC for developing visual analytics infrastructure during the COVID-19 pandemic. Labs and Teams: He is an active member of the giCentre at City, University of London, a hub for visualization research. He also collaborates with interdisciplinary teams in epidemiology, immunology, and computer science, contributing to large-scale projects like the Immunological Genome Project and RAMPVIS.
Hilary Nelson is an Assistant Professor in the Department of Fine Art at Maharishi International University (MIU), where she teaches courses such as Art of the Self, Color Theory, Sculpture I, and graduate-level seminars. She has also served as an Adjunct Instructor at MIU and Santa Fe Community College, and as a Visiting Lecturer at Grinnell College. Her academic journey includes an MFA and MA in Painting from the University of Iowa and a BFA in Painting and BS in Environmental Science from MIU. University of Iowa, MFA Painting, 2017 University of Iowa, MA Painting, 2016 Maharishi International University, BFA Painting, 2013 Maharishi International University, BS Environmental Science, 2007 Hilary Nelson's research and creative practice focus on the intersection of art, sustainability, and regenerative design. Her fields of interest include painting, drawing, sculpture, and curatorial practice, with a strong emphasis on environmental consciousness. She has developed and taught courses like 'Regenerative Art: Sustainability in Practice and Concept,' reflecting her commitment to ecological themes in art education. The 15 most recent articles highlight her active exhibition history, spanning solo and group shows across the U.S. and internationally. These works reflect trends in contemporary visual art, including installation, public art, conceptual practice, and interdisciplinary exploration. Her exhibitions often engage with themes of space, materiality, perception, and social critique, demonstrating a consistent evolution in her artistic voice. Scientific and Artistic Awards: Mildred Pelzer Lynch Fellowship, University of Iowa (2015–2017) Graduate Teaching Assistant Scholarship, University of Iowa (2014–2016) Faculty Research and Teaching Grants, Wege Foundation (2022, 2024) Artist Residencies at Yaddo, Vermont Studio Center, and international locations (2019–2024) Arts and Environmental Sciences Honors Awards from MIU (2007, 2013) Hilary Nelson has been actively involved in academic advising, curriculum development, and grant-funded research. She has led projects supported by the Wege Foundation, focusing on regenerative art and sustainability. Her teaching spans foundational to advanced levels, and she has mentored students through studio courses and graduate seminars. She has also curated exhibitions and organized artist talks, contributing to the broader academic and artistic community. She is co-founder of the Nelson Project, a collaborative art initiative with Trilby Nelson, and previously co-founded The Beauty Shop in Fairfield, IA—a non-profit gallery and music venue. She has also served as Gallery Curator at The Times Club in Iowa City and co-directed Unity Gallery at MIU, demonstrating strong leadership in curatorial and collaborative art environments.
Alex Arenas is a Full Professor in the Department of Computer Engineering and Mathematics at Universitat Rovira i Virgili (URV), Tarragona, Spain. He is also an External Faculty member at the Complexity Science Hub in Vienna and Chief of Complex Systems Science at the Pacific Northwest National Laboratory, USA. His research spans complex systems, network science, computational epidemiology, and multilayer dynamics, with applications in public health, neuroscience, and social systems. Research Interests: His work focuses on the physics of multilayer networked systems, particularly the interplay between structure and function in complex networks. Key areas include synchronization, epidemic modeling, network medicine, the physics of the microbiome, and higher-order interactions in spreading processes. He investigates dynamic transitions using functional multilayer frameworks and develops models for real-world systems like urban mobility and misinformation diffusion. The recent articles highlight a strong trend in computational epidemiology, especially post-COVID modeling of vaccination strategies, rebound dynamics, and wastewater surveillance. There is also significant work on synchronization in oscillator networks, chimera states, and higher-order network effects, reflecting a deep engagement with nonlinear dynamics and theoretical network science. Applications span medicine, urban planning, and social systems. Scientific Awards: Fellow, American Physical Society (2018) Fellow, Network Science Society (2020) ICREA Academia (2011, 2017, 2022) Narcís Monturiol Medal (2022) Web Science Trust Test of Time Award (2024) Complex Systems Society Senior Award (2024) Advising and Grants: Arenas has supervised numerous PhD students and postdoctoral researchers, though specific names are not listed. He has been Principal Investigator on 47 research projects, including EU FP7 projects, a James S. McDonnell Foundation grant, and Horizon Europe's CREXDATA project. He has served as an editor for Physical Review E , Journal of Complex Networks , and Network Neuroscience , and has reviewed for major funding agencies including ERC, MINECO, and international bodies. Labs and Teams: He leads the Alephsys Lab at URV, which develops tools like Radatools for network analysis and community detection. His team focuses on interdisciplinary modeling of real-world complex systems using data-driven and theoretical approaches.
Dr. Sam Ferguson is a Senior Lecturer at the School of Computer Science, University of Technology Sydney (UTS), with a multidisciplinary background in music performance, cognitive science, and psycho-acoustics. His research explores the intersection of sound, music, and human experience through creative coding, machine learning, and interactive systems. Key Research Areas: Sound and Music Computing, Human-Computer Interaction, Creative Coding, Cognitive Science, Installation Art, and Acoustics. Current Projects: ARC Linkage project on creative coding and multiplicitous media; industry collaborations on IoT-based audiovisual systems. Recent Publications: Focus on spatial audio complexity, gestural interaction with networked sound, music emotion recognition frameworks, and robotic performance through genre-based cultural platforms. Leadership Roles: Director of Teaching & Learning Engagement; former Deputy Head of School (Teaching and Learning); active in ACM Creativity and Cognition Steering Committee. Teaching: Courses like Digital Media Studio , Prototyping Physical Interaction , and Data Processing using R within UTS's interdisciplinary Software Development Studio.
Dr. Michael Philben is an Associate Professor of Chemistry and Geological and Environmental Science at Hope College, where he joined in 2019 after postdoctoral positions at Memorial University (Canada) and Oak Ridge National Laboratory. His research focuses on climate-carbon cycle feedbacks in vulnerable ecosystems, particularly peatlands and Arctic tundra. His educational background includes a Ph.D. in Marine Science from the University of South Carolina (2014) and a B.A. in Earth and Planetary Science from Northwestern University (2010). At Hope College, he teaches Environmental Science courses and contributes to the Day1: Watershed program. Philben's research centers on carbon and nitrogen cycling in ecosystems containing vast organic carbon stocks. He leads an NSF CAREER-funded project investigating Michigan peat bogs as natural laboratories for climate change impacts, using a north-south transect from Portage to Newberry as a 'space-for-time' experiment. His work examines methane emissions, nitrogen availability, and net carbon balance under warming conditions, with particular attention to Sphagnum-dominated peatlands at the southern edge of their climate range. His 15 most recent publications (2020-2024) reveal a strong focus on peatland biogeochemistry, with increasing emphasis on methane dynamics, nitrogen cycling, and the role of specific biochemical compounds like sphagnan. The research combines field measurements across climate gradients with laboratory experiments, often involving Hope College students in all project phases. NSF CAREER Award for peatland climate research Philben actively mentors undergraduate researchers through the Philben Research Group, which investigates how warming impacts carbon cycling in peatlands. His projects involve interdisciplinary work spanning analytical chemistry, geology, and ecology. The group maintains a network of seven Michigan peat bog field sites and collaborates on international research, including Arctic studies in Alaska and Canada. His laboratory focuses on using analytical chemistry tools to predict climate-carbon cycle feedbacks, with particular attention to southern Michigan peatlands as sentinels for larger northern peatland complexes. The research group employs techniques including greenhouse gas flux measurements, radiometric dating of peat cores, and analysis of organic matter composition.
Xiaoning Qian is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, where he also serves on the Faculty Advisory Committee for the Texas A&M Institute of Data Science (TAMIDS) and the Executive Committee for the Texas A&M TRIPODS Research Institute for Foundations of Interdisciplinary Data Science (FIDS). He holds a joint appointment in the Applied Math group within the Computational Science Initiative at Brookhaven National Laboratory (BNL). Previously, he was an Associate Professor (2018-2022) and Assistant Professor (2013-2018) at Texas A&M, and an Assistant Professor in the Department of Computer Science and Engineering at the University of South Florida (2009-2013). Dr. Qian received his B.S.E. and M.S.E. degrees from Shanghai Jiaotong University, China, and his M.Ph. and Ph.D. degrees in Electrical Engineering from Yale University. Dr. Qian's research focuses on developing mathematical models and computational algorithms in signal processing, machine learning, and Bayesian methods, particularly in learning, uncertainty quantification, and experimental design. His work spans multiple disciplines, with applications in life sciences and materials science. His research group, the Biomedical Imaging, Sensing, and Genomic Signal Processing Group, actively applies probabilistic models and optimization algorithms to solve complex problems in interdisciplinary domains. His research has evolved from foundational work in bioinformatics and biomedical image processing to more recent applications in materials science and broader AI for science initiatives. Dr. Qian has received numerous scientific awards and recognitions including: National Science Foundation (NSF) CAREER Award Segers Family Dean's Excellence Professorship II in the College of Engineering TEES (Texas A&M Engineering Experiment Station) Senior Faculty Fellow Montague-Center for Teaching Excellence Scholar J. T. Oden Faculty Fellow at the University of Texas, Austin Finalist of the 2023 INFORMS QSR Best Paper Faculty Impact Fellow from the Department of Electrical & Computer Engineering As an advisor , Dr. Qian has mentored numerous graduate students through their PhD and MS programs, with many of his alumni securing positions at prestigious institutions and companies including NIH/NCBI, Microsoft, Baidu Research Lab, and Qualcomm. His research has been supported by multiple grants, including an NSF CAREER award and collaborative research funding from the Information Integration and Informatics program. He is actively recruiting postdoc and graduate student research assistants for projects in machine learning and optimization methods with applications in bioinformatics and materials science. Dr. Qian is involved with several research initiatives including the Objective-Based Uncertainty Quantification (ObjectiveUQ) project, which provides a mathematical framework for integrating prior knowledge and data while enabling effective operational and experimental design under uncertainty. He also co-organizes the Bio-Seminar series for the Biomedical Imaging, Sensing & Genomic Signal Processing group at Texas A&M.
Dr. Gary Glover is a Professor of Radiology (Radiological Sciences Lab) at Stanford University , with courtesy appointments in Psychology and Electrical Engineering. His work focuses on the physics and mathematics of MRI, particularly rapid scanning methods using spiral k-space trajectories for functional brain imaging and multimodal neuroimaging (fMRI/EEG/fPET/fNIRS) combined with neuromodulation techniques like TMS and transcranial ultrasound. Academic Appointments: Radiology, Psychology, Electrical Engineering Professional Affiliations: Bio-X, Stanford Cancer Institute, Wu Tsai Neurosciences Institute Research Interests include: Development of blood oxygen level-dependent (BOLD) and viscoelastic contrast in MRI Functional MR Elastography for brain activation mapping Optimization of MR-ARFI for transcranial ultrasound guidance Automated spinal cord segmentation (EPISeg) using machine learning Scientific Awards : National Academy of Engineering (2013) Gold Medal, ISMRM (2000) Steinmetz Award, General Electric (1985) Lauterbur Lecture, ISMRM (2018) Recent Publications analyze: Fast fMRI sampling and spurious signal correction Dissociated patterns in default mode network anti-correlations Neural correlates of collaborative behavior in triadic fMRI Salience network contributions to depression pathophysiology
