Find Academic Supervisors

Jeeban PanthiView profile

Academic

• Groundwater-Surface Water Interactions
• Hydrology
• Water Resources Management
• +7 more

Jeeban Panthi is a Teaching Assistant Professor in the Department of Civil Engineering at Kansas State University's College of Engineering. He holds a Ph.D. in Geosciences (Hydrogeology) from the University of Rhode Island and an M.S. in Environmental Science from Tribhuvan University, Nepal. His research focuses on integrated hydrological systems, particularly groundwater-surface water interactions under climate and land-use changes. Ph.D. - University of Rhode Island (Geosciences/Hydrogeology) M.S. - Tribhuvan University, Nepal (Environmental Science) B.S. - Tribhuvan University, Nepal (Environmental Science) Using numerical modeling, geophysical techniques, and satellite remote sensing (e.g., GRACE/GRACE-FO), Panthi investigates water availability and quality across scales—from mountainous regions to coastal areas. His work bridges upstream to downstream hydrological processes through data-driven approaches. As of 2024, Panthi has authored over 26 peer-reviewed journal articles and 20 conference papers. His research has been funded by prestigious grants including USGS 104(b) program, USAID, and the Kansas Water Institute. Kansas Water Institute’s CoSearch competition winner (2024) Best Presentation Award recipient (2023) UNEP PROVIA Young Scientist Fellow Asia-Pacific Network for Global Change Research grantee Multiple NSF/GSA/AGU research/travel grantee He leads the Panthi HydroSystem Lab, specializing in agricultural and semi-arid landscapes like Kansas. The lab integrates geospatial technologies with field observations to develop science-based water management solutions for sustainability and resilience.

• Industry 4.0
• Internet of Things (IoT)
• OT/IT Integration
• +4 more

Prof. Dennis Kolberg serves as Professor of Industrial Engineering at Lübeck University of Applied Sciences, holding dual leadership roles as Head of Industrial Engineering Bachelor/Master programs and Head of the Institute for Entrepreneurship and Business Development (IEBD). His career uniquely bridges academic research and industry implementation, with recent executive experience as Chief Product Officer at DIGIMONDO (2020-2023) and co-founding SPARETECH (2019). M.Sc. Industrial Engineering, University of Bremen (2007-2014) Ph.D. in Industrial Engineering, Technical University of Kaiserslautern (2014-2018) focusing on Industry 4.0 and Lean Management Vocational Training as Industrial Clerk, RK Rose+Krieger (2004-2007) His research pioneers the integration of lean production methodologies with digital technologies , specializing in Industry 4.0 implementation and OT/IT convergence for manufacturing environments. Key contributions include developing reference architectures for cyber-physical production systems and optimizing human-machine interfaces through lean automation principles. Current work emphasizes digital transformation in B2B contexts , particularly for software startups in industrial settings. Publications from 2015-2022 reveal a consistent trajectory from foundational CPS architectures toward applied IoT solutions, with recent focus on digital twins for production optimization. His work consistently bridges theoretical frameworks and practical implementation , demonstrating how lean principles enhance digital transformation outcomes in manufacturing. Kolberg actively supervises bachelor's and master's theses at Lübeck University of Applied Sciences, with students registering via email for thesis topics. His industry background informs practical research directions, though specific grant funding isn't detailed in available sources. As IEBD Director, he drives academic-industry partnerships focused on digital entrepreneurship. Leading the Institute for Entrepreneurship and Business Development, Kolberg oversees initiatives connecting academic research with business development in digital manufacturing. Previously at DFKI's SmartFactory KL, he directed research on changeable cyber-physical production systems, establishing methodologies now applied in his current industry collaborations.

• Human-Computer Interaction
• Geographic Information Science
• Virtual Reality
• +7 more

Johannes Schöning is a Professor of Human-Computer Interaction at the University of St. Gallen, where he leads a research group focused on developing novel user interfaces that empower individuals and communities with data-driven decision capabilities. His work bridges rapidly advancing technologies with human needs across diverse contexts including geographic information science, public health, medical applications, and extreme environments such as space missions. He publishes extensively at premier HCI venues including ACM CHI, MobileHCI, and DIS, as well as in interdisciplinary journals like NATURE and PLOS ONE. Professor Schöning's research interests center on understanding the interplay between technology and human activities through rigorous methods from AI, computer graphics, and cognitive psychology. His work emphasizes user-centered design methodologies and mixed methods approaches to create interfaces that fit both technological possibilities and human requirements. Key focus areas include virtual and augmented reality applications, accessibility solutions, navigation technologies, and the social implications of digital interfaces in everyday life. His research mission prioritizes theoretical and practice-based inquiry to develop disruptive solutions for real-world problems. Analysis of his recent publications reveals strong trends in virtual reality applications for emotional regulation and accessibility, with increasing emphasis on generative AI integration, environmental awareness, and space-related HCI challenges. His work consistently demonstrates interdisciplinary collaboration across computer science, psychology, geography, and medical fields, with publications showing growing interest in social implications of technology, particularly regarding navigation systems and their externalities. His scientific contributions have been recognized with numerous awards including: Best Presentation Award at IEEE VR 2023 Best Paper Award & Accessibility Award at Interact 2019 10 Year Impact Award 2021 Multiple Honorable Mention Awards at top conferences Professor Schöning actively mentors students across bachelor, master, and PhD levels, with his lab seeking candidates interested in the intersection of HCI, geoinformatics, and ubiquitous computing technologies. He emphasizes creating a 'detox-free academic environment' that focuses on meaningful teaching and research outcomes rather than academic pressures. His group frequently collaborates with international researchers and institutions on projects spanning medical applications, space exploration interfaces, and public health technologies. The research laboratory led by Professor Schöning maintains strong interdisciplinary connections across multiple domains. Current projects include developing AI-powered wearables for blind and low vision users, exploring VR applications for emotional regulation, investigating navigation technologies' social impacts, and creating interfaces for space mission contexts. The lab's work on CubeSat control software and plant visualization for space greenhouses demonstrates their unique focus on extreme environment applications, while their research on citizen participation through generative AI shows engagement with contemporary societal challenges.

• Hydrogeology
• Groundwater
• Stochastic Modelling
• +16 more

Dr. Alraune Zech is an Assistant Professor for Computational Environmental Hydrogeology at Utrecht University, Faculty of Geosciences, Department of Earth Sciences, Hydrogeology group. Her research focuses on groundwater flow and transport processes in heterogeneous environments, with emphasis on practical applications in contaminated aquifers, PFAS remediation, and construction-related groundwater issues. She is affiliated with the Helmholtz-Centre for Environmental Research and serves as convener for EGU sessions on contaminant transport. Dr. Zech's educational background includes: PhD in Computational Hydrosystems from Friedrich-Schiller-University Jena and Helmholtz-Centre for Environmental Research (2010-2013) Prediploma Degree in Business Mathematics from University Leipzig (2011) Diploma in Mathematics with minor in Chemistry from University Leipzig (2003-2009) Her research interests span hydrogeology, groundwater modeling, and environmental remediation. She specializes in stochastic and computational modeling of subsurface processes, with focus on contaminated aquifers, PFAS removal strategies, biodegradation, bioremediation, and heat transport in the subsurface. Her work bridges theoretical approaches with practical applications in construction engineering and environmental protection. Analysis of Dr. Zech's recent publications (2021-2025) reveals strong focus on advancing hydrogeological modeling techniques, particularly in aquifer heterogeneity characterization, machine learning applications in hydrogeology, and practical remediation strategies. Her work spans fundamental research on pore-scale processes to field-scale applications, with increasing integration of artificial intelligence methods for solving complex groundwater problems. Dr. Zech leads several significant research projects: Living Lab PFAS Remediation (2024-2028): Developing strategies for PFAS contamination SilPit (2024-2028): Studying erosion of silicate grouting in construction pits MIBIREM (2022-2027): Creating innovative technological toolbox for bioremediation She actively supervises multiple PhD students including Alexandra Hockin, Kim Bartsch, Mahammad Valibeknejad, Sona Aseyednezad, Hannah Gebhardt, and Martijn van Leer. Her research is supported by funding from the Ministry of Infrastructure and Water Management, NWO, and EU Horizon programs.

Patrick A. RafterView profile

Assistant Professor

• Chemical Oceanography
• Isotope Geochemistry
• Paleoceanography
• +4 more

Patrick A. Rafter is an Assistant Professor in the Chemical Oceanography department at the University of South Florida College of Marine Science . His research focuses on marine carbon cycling , isotope geochemistry , and paleoceanography , with specific interests in understanding carbon dynamics across geological timescales and developing methods for marine carbon dioxide removal (mCDR) . Key Research Themes Carbon cycling in modern and ancient oceans Application of stable and radiocarbon isotopes Biogeochemical impacts of climate change Deep-sea circulation and carbon sequestration Marine carbon removal strategies Recent Work explores carbonate dissolution fluxes, glacial-interglacial CO2 cycles, and alkalinity enhancement in the California Current System. His Ocean and Climate Lab integrates field measurements with modeling to trace carbon pathways. Contact : prafter@usf.edu

Kaiwen ChenView profile

Assistant Professor

• Artificial Intelligence
• Computer Vision
• Deep Learning
• +6 more

Dr. Kaiwen Chen serves as an Assistant Professor in the Department of Civil, Construction and Environmental Engineering at The University of Alabama's College of Engineering, where she is affiliated with the Center for Sustainable Infrastructure. Her research integrates drone robotics, sensor technologies, and Artificial Intelligence to revolutionize building diagnostics and performance simulation. Her academic credentials include: Ph.D. in Environmental Design and Planning from Virginia Polytechnic Institute and State University (2020) M.Sc. in Management in Science and Technology from Southeast University (2016) B.S. in Construction Project Management from Southeast University (2013) Dr. Chen's research program focuses on innovations in the AECO field, with core expertise in drone-based imaging systems, 2D/3D data processing, infrared thermography, high-performance computing, and building energy modeling. Her work bridges advanced computational techniques with practical infrastructure challenges, particularly in building envelope diagnostics and pavement inspection. Analysis of her 15 most recent publications (2024-2025) reveals dual research thrusts: primary focus on AI-driven construction applications (digital twins, thermal anomaly detection, UAV-based surveys) and significant contributions to wireless power transfer systems. This interdisciplinary scope demonstrates exceptional versatility in applying cutting-edge computational methods to both civil infrastructure and electrical engineering challenges. Her scientific recognition includes: Runner-Up for 5th Annual ASCE VIMS Datathon Competition (2024) Virginia Tech Outstanding Dissertation Award (2020) ASCE i3CE Best Paper Award (2019) Dr. Chen leads externally funded research initiatives including a US Department of Energy project on aerial intelligence for building envelope diagnostics and a Georgia Department of Transportation project on drone-assisted pavement inspection. These grants demonstrate her ability to secure competitive funding for high-impact infrastructure research. As an active contributor to the Center for Sustainable Infrastructure, she advances research in sustainable infrastructure systems through the integration of drone technologies, AI analytics, and digital twin methodologies for comprehensive infrastructure assessment and management.

• Neuroradiology
• Brain Imaging
• Central Nervous System Disorders
• +3 more

Sandra Abi Fadel, MD serves as an Assistant Professor of Radiology and Biomedical Imaging at Yale School of Medicine and acts as Associate Program Director of the Neuroradiology fellowship at Yale New Haven Hospital. Her clinical work focuses on advanced neuroimaging techniques for diagnosing conditions affecting the brain, spine, spinal cord, neck structures, and salivary glands using multiple modalities including X-ray, CT, and MRI. Dr. Abi Fadel's research interests center on neuroradiology with specific focus areas in brain imaging, central nervous system disorders, head and neck imaging, and neurological diagnostics. She particularly emphasizes correlating patients' neurological symptoms with specific anatomic regions in the brain and abnormalities on brain imaging. Her work demonstrates how advanced imaging techniques can significantly impact the timely and effective management of neurological conditions. Her recent publications reveal a strong trend toward integrating advanced imaging techniques with genetic analysis and addressing representation issues in neurointerventional fields. Her work spans from clinical imaging applications to molecular-level analysis of brain tumors, demonstrating a comprehensive approach to neurological diagnosis and treatment. RSNA fellow research award (2020) Fellow of the year from Yale New Haven Hospital (2020) Dr. Abi Fadel serves as Associate Program Director of the Neuroradiology fellowship, indicating her active role in mentoring and training future neuroradiologists. Her professional service includes participation in the American Society of Spine Radiology (2019-2021) as both an Abstract Grader and Award Committee Member, and the American Society of Neuroradiology (2019-2021) as a Peer Reviewer.

Gianvito LaeraView profile

Research Fellow

• prospective memory
• time estimation
• aging
• +5 more

Gianvito Laera is a Postdoctoral Research Fellow at the University of Geneva's Department of Psychology within the Faculty of Psychology and Educational Sciences. He works in the Cognitive Aging Lab, focusing on prospective memory research with particular emphasis on time-based memory processes across the lifespan. His research integrates cognitive psychology, neuroscience, and gerontology to understand how people remember to perform future intentions. Dr. Laera received his PhD in Psychology from the University of Geneva (2018-2023), following a Master of Science in Neuroscience and Neuropsychological Rehabilitation from the University of Padua, Italy (2013-2016), and a Bachelor of Science in Psychological Sciences and Techniques from the University of Bari 'Aldo Moro', Italy (2010-2013). Prior to his doctoral studies, he worked as a Research Assistant at Keele University's Neuropsychology Lab (2016-2018) and completed a research internship at the University of Padua (2015-2016). His research primarily investigates prospective memory—particularly time-based prospective memory—which involves remembering to perform intended actions at specific future times. His work examines age-related differences in these processes, neural correlates using EEG methodology, strategic monitoring behaviors, and the impact of various contextual factors on memory performance. He employs both laboratory and web-based experimental approaches to study how people monitor time, check clocks, and manage cognitive resources when executing delayed intentions. His research has important implications for understanding cognitive aging and developing interventions to support memory in older adults. Analysis of his publication record reveals consistent focus on time-based prospective memory mechanisms across 15 recent publications. His work demonstrates sophisticated methodological approaches including meta-analyses, experimental manipulations of clock-speed, EEG measurements, and longitudinal assessments. Key trends include examining the cost of monitoring behavior, strategic clock-checking patterns, neural correlates of memory retrieval, and the relationship between personality factors and cognitive performance in aging populations. While no specific scientific awards are documented in the available information, his research has been published in high-impact journals across psychology, neuroscience, and gerontology, reflecting recognition within his field. As a postdoctoral researcher, Dr. Laera continues to develop his independent research program while collaborating with senior researchers in the Cognitive Aging Lab. His work bridges experimental cognitive psychology with real-world applications for understanding memory changes in aging populations.

• Database Systems
• Privacy-Preserving Computation
• Indexing Techniques
• +3 more

Dong Xie is an Assistant Professor in the field of Computer Science and Engineering , with a focus on database systems and privacy-preserving computation. His work spans indexing techniques, oblivious RAM, and high-throughput data processing. Key Research Areas: Encrypted databases, access pattern privacy, dynamic data structures, spatial analytics. Collaborations: Active in database optimization and security, with external partnerships reflected in recent publications. Over the past decade, Dong Xie has contributed to advancements in oblivious query processing , index dynamization , and spatial data management . His research addresses challenges in secure data access , concurrent updates , and storage efficiency , particularly for cloud and distributed environments. Recent publications highlight his work on low-latency transaction scheduling (2025), dynamic sampling indexes (2023), and SSD-based storage optimization (2022). His articles explore intersections of privacy , performance , and scalability .

Jody ReimerView profile

Assistant Professor

• Mathematical Ecology
• Ecological Modeling
• Polar Marine Biology
• +7 more

Jody Reimer is an Assistant Professor jointly appointed in the Department of Mathematics and the School of Biological Sciences at the University of Utah. Her interdisciplinary work bridges mathematical theory with ecological applications, focusing on extreme environments including polar regions and Great Salt Lake. She maintains offices in both the Mathematics building (LCB 301) and South Biology building (227), reflecting her dual departmental affiliation and commitment to collaborative research across disciplines. Dr. Reimer's research explores the intersection of mathematics, ecology, and statistical/computational methods to connect models with data. Her work leverages advances in uncertainty quantification, optimal control theory, and data science to understand ecological phenomena. Much of her research is motivated by questions in polar marine biology and Great Salt Lake ecology, with additional collaborative projects spanning diverse biological systems. She develops mathematical approaches to study sea ice ecosystems, polar bear navigation in warming Arctic, and long transient dynamics in ecological systems. Analysis of Dr. Reimer's recent publications reveals a strong focus on mathematical approaches to pressing ecological questions. Her work spans theoretical developments in uncertainty quantification and transient dynamics, alongside applied research on polar ecosystems, wildlife management, and disease modeling. A recurring theme is the development and application of optimal control theory to ecological problems, particularly in understanding animal behavior under environmental change. Her interdisciplinary approach consistently bridges mathematical theory with empirical ecological challenges. Shortlisted for the Robert May Prize for her paper "Matrix methods for stochastic dynamic programming in ecology and evolutionary biology" Dr. Reimer actively mentors a diverse group of students across multiple disciplines, including PhD candidates in Mathematics and Biology, as well as numerous undergraduate researchers. Her lab recently received a 1U4U Seed Grant to support data collection on Great Salt Lake microbialites. She co-organizes significant research initiatives including the ICERM Workshop on Uncertainty Quantification for Mathematical Biology (May 2025) and the SLMath graduate summer school on Mathematics of Climate, Sea Ice, and Polar Ecosystems (June 2025). Current funding supports research on polar bear navigation, sea ice ecology, and Great Salt Lake microbial communities. The Reimer lab operates at the interface of mathematics and biology, with members working on diverse projects spanning polar ecology, Great Salt Lake research, and theoretical ecology. The lab maintains strong connections with field researchers in the Arctic and collaborates with biologists, statisticians, and applied mathematicians across institutions. Recent work includes the "Mathpedition" project documenting academia in the Arctic and collaborative efforts with Polar Bears International on educational initiatives.

Luise StarkView profile

Researcher

• Multispecies Studies
• Visual Anthropology
• Aesthetics/Artistic Research
• +4 more

Luise Stark is a researcher at the Department of European Ethnology / Empirical Cultural Studies within the Faculty of Philosophy at the University of Würzburg. Since April 2024, she has been employed in scientific service at the Chair of European Ethnology/Empirical Cultural Studies, where she previously worked as a student and research assistant from 2020-2024. She also served as a research assistant at the Chair of Philosophy and Religion during the same period. Stark completed her Master's degree in European Ethnology/Empirical Cultural Analysis and Philosophy and Religion at the University of Würzburg in 2024, following a Bachelor's degree in the same fields in 2021. She additionally holds a Master's degree in Design from Angewandte Kunst Schneeberg (2018) and a Bachelor's degree in Textile Art/Textile Design from the same institution (2017). Her research focuses on multispecies relations , visual anthropology , and aesthetics/artistic research , with particular attention to lichen aesthetics, surface textures, and environmental storytelling. She examines how non-human entities shape human experiences and cultural practices, especially through her current PhD project investigating the production processes of nature documentaries in the context of climate change and species extinction. Stark's scholarly output demonstrates a consistent exploration of more-than-human narratives across various media formats. Her recent publications reveal an evolving trajectory from surface aesthetics and material culture toward examining production processes in nature filmmaking. She frequently employs visual and sensory methods, creating films, podcasts, and exhibitions that bridge academic research with artistic practice, particularly focusing on how visual coding can access multispecies perspectives in the Anthropocene. As a researcher, Stark actively contributes to collaborative projects including the I.N.S.E.C.T. Summercamp on Multispecies Worlding as Design Practice and has presented her work at institutions including the Christian-Albrechts-Universität zu Kiel. Her interdisciplinary approach connects cultural anthropology with design practice, creating bridges between academic research and practical applications in understanding human-nonhuman relations.

• Atmospheric convection
• Severe weather
• Mesoscale processes
• +5 more

Adam Houston is a Professor in the Department of Earth and Atmospheric Sciences at the University of Nebraska-Lincoln, where he has served since 2006 after joining as an assistant professor. His research centers on severe local storms and cloud/mesoscale atmospheric phenomena. Education: Ph.D. in Atmospheric Sciences, University of Illinois at Urbana-Champaign (2004) B.S. in Meteorology, Texas A&M University Dr. Houston's expertise spans atmospheric convection , severe weather , mesoscale processes , and climate diagnostics . He leads the Severe Storms Research Group (SSRG), investigating deep convective initiation, supercell dynamics, and airmass boundary influences using numerical modeling and observational techniques including UAS and Doppler radar. Analysis of recent publications (2023-2025) reveals dominant themes in deep convection initiation mechanisms , supercell thunderstorm dynamics , and UAS-based atmospheric profiling . His work increasingly addresses urban impacts on convection and data assimilation for severe storm forecasting through major field campaigns. Research Infrastructure: Severe Storms Research Group (SSRG) Principal investigator in TORUS, LAPSE-RATE, and SCALES field campaigns NSF-funded collaborative projects including AGS-FIRP Track 1 initiatives

• Interventional Radiology
• Vascular Diseases
• Portal Hypertension
• +3 more

Dr. Wael E.A. Saad is a distinguished Professor of Clinical Radiology & Imaging Sciences at the University of Utah, where he serves as Director of Interventional Radiology and Vice Chair of Image Guided Procedures. Previously, he held the position of Operations Head of Vascular & Interventional Radiology at the National Institute of Health (NIH) for four years. His academic journey includes faculty positions at University of Michigan (where he served as VIR Director and Medical Director of non-cardiac hybrid-labs), University of Virginia (where he was promoted from Associate to Full Professor and served as VIR Fellowship Program Director), and University of Rochester (where he was promoted from Assistant to Associate Professor). Dr. Saad's educational background includes: MBBCh from Ain Shams University Faculty of Medicine, Cairo, Egypt Surgery Internship at Ain Shams University Hospitals Vascular Surgery training at MedStar Franklin Square Medical Center Internship at Johns Hopkins University School of Medicine Residency in Diagnostic Radiology at University of Rochester Medical Center Fellowship in Vascular & Interventional Radiology at Mallinckrodt Institute of Radiology, Washington University School of Medicine Dr. Saad is internationally recognized for his expertise in Interventional Radiology, with special focus on Portal Hypertension, Liver Transplantation, and Hepato-Biliary Diseases. He is nationally renowned for management of vascular diseases affecting both arterial and venous systems. His research spans a wide range of interventional procedures including transjugular intrahepatic portosystemic shunt (TIPS) creation, balloon-occluded retrograde transvenous obliteration (BRTO) for gastric varices, and management of vascular complications in transplant recipients. He has made significant contributions to the understanding and treatment of portal hypertension and its complications, with numerous publications exploring innovative approaches to managing gastric varices and portal hypertension-related conditions. Dr. Saad has received recognition as a Fellow of the Society of Interventional Radiology (FSIR) and has held leadership positions including former Chair of the Standards of Practice Committee of the Society of Interventional Radiology. His scholarly work includes numerous quality improvement guidelines for interventional radiology procedures. His commitment to advancing the field extends globally through his cofounding of the Middle East Endovascular Therapy (MEET) Symposium and the Society of African Interventional Radiology and Endovascular-therapy (SAFIRE). Throughout his career, Dr. Saad has been dedicated to medical education and training, having served as Fellowship Program Director and mentoring numerous trainees. His global outreach efforts over the past two decades have focused on the Middle East, North Africa, and Sub-Saharan Africa, significantly contributing to the development of interventional radiology services in these regions. His work has particularly emphasized capacity building and education in underserved areas, helping to establish training programs and clinical services across multiple continents.

• Quantum Computing
• Trapped Ions
• Quantum Error Correction
• +3 more

Philipp Schindler serves as an Assistant Professor in the Department of Experimental Physics at the University of Innsbruck, Austria. His research is centered on experimental quantum computing using trapped ion systems, with a focus on advancing quantum error correction and scalable quantum processor architectures. Dr. Schindler's primary research interests include quantum error correction, fault-tolerant quantum computing, quantum simulation, and the development of trapped ion quantum hardware. His work bridges theoretical concepts with experimental implementations, contributing to the realization of practical quantum computers through innovations in ion trap design, qudit-based processing, and verification protocols. Key methodologies involve precision control of molecular ions and multiqubit operations within cryogenic environments. Analysis of his recent publications (2022-2025) reveals a consistent emphasis on experimental demonstrations of quantum error correction, novel ion trap architectures, and the use of qudits for enhanced quantum processing. Key themes include fault-tolerant operations, two-dimensional connectivity for scalability, and verification protocols for quantum computations. His research shows increasing focus on molecular ion systems and cross-verification techniques for quantum hardware validation. No scientific awards were mentioned in the provided information. Details regarding his students and research grants are not available in the given text. Dr. Schindler operates within the quantum computing research group at the Department of Experimental Physics, utilizing specialized facilities including cryogenic setups and microfabricated ion traps at Technikerstraße 25 in Innsbruck.

Erica McGreevyView profile

Teaching Professor

• STEM Education
• Educational Psychology
• Equity in Education
• +3 more

Erica McGreevy serves as a Teaching Professor in the Department of Biological Sciences and Assistant Dean for Undergraduate Studies at the University of Pittsburgh's Dietrich School of Arts and Sciences, where she has held faculty positions since 2014 following completion of her doctoral studies at the same institution. Her dual administrative-academic role positions her at the intersection of educational leadership and pedagogical innovation within undergraduate STEM education. Her educational background includes: Ph.D. in Molecular, Cell, and Developmental Biology with Minor in Teaching, University of Pittsburgh Dr. McGreevy's research program investigates how classroom climate, community dynamics, and students' sense of belonging influence learning outcomes and persistence in large gateway STEM courses, with particular focus on structural and psychological barriers affecting women and underrepresented minority students. She develops ecological belonging interventions that reshape classroom norms and student perceptions of scientific identity, integrating evidence-based strategies to foster inclusive environments where all learners can thrive. Her work emphasizes practical implementation of interventions that address equity gaps while building students' critical thinking and scientific competencies. Analysis of her publication trajectory reveals consistent focus on scaling belonging interventions across engineering and occupational therapy education, examining virtual learning impacts, and measuring intervention fidelity in diverse institutional contexts. Recent work demonstrates increasing emphasis on cross-disciplinary adaptation of interventions and longitudinal assessment of their effects on student retention and identity formation in STEM fields. No scientific awards or honors were documented in the available information. While Dr. McGreevy's research involves collaborative program development and institutional partnerships, specific details regarding graduate student advising or external grant funding were not provided. Her administrative role as Assistant Dean suggests leadership in curriculum development and undergraduate policy, though operational details of research teams or laboratory facilities remain unspecified in the source materials.