جستجوی استاد راهنمای دانشگاهی

Akhil Chawlaمشاهده پروفایل

استادیار بالینی

• Surgical Oncology
• Pancreatic Cancer
• Clinical Trials
• +۳ مورد دیگر

Akhil Chawla, MD is a Clinical Assistant Professor in the Department of Surgery (Surgical Oncology) at Northwestern University Feinberg School of Medicine and Vice Chair of Regional Integration for the Department of Surgery. He leads the Robert H. Lurie Comprehensive Cancer Center and directs key initiatives such as the Northwestern Medicine Pancreatic Cyst and High-Risk Clinic. His roles include Director of Surgical Oncology for the South Region and Director of Oncology Research in the West Region. Education & Training: BS and MD from the University of Cincinnati (2006–2010). Surgical training includes residencies at Case Western Reserve University (2017), and fellowships at MD Anderson Cancer Center (2014), as well as Harvard-affiliated institutions (Brigham and Women’s, Massachusetts General, Dana-Farber; 2019). Research Interests: Focuses on clinical trials, biomarker development, and response assessment of systemic therapies in solid tumors, particularly pancreatic cancer. Leads the Alliance A021806 trial, the largest pancreatic cancer trial in North America, and chairs the NCI GI Steering Committee’s Pancreas Task Force. Clinical Trials: Active trial Alliance A021806 evaluates perioperative chemotherapy for resectable pancreatic cancer. Enrollment criteria include adults with resectable pancreatic cancer. Locations: Chicago, IL. Recipient of NCI’s R50 Award for clinical trial infrastructure expansion. Directs the Northwestern Medicine Surgical Oncology Tumor Bank and Translational Research Laboratory. Awards & Leadership: Multiple mentorship awards (2022–2024), invited roles on national committees (e.g., NCI Liquid Biopsy Task Force), and editorial roles at Annals of Surgical Oncology and Frontiers in Oncology .

Brenda Douglassمشاهده پروفایل

استادیار

• Competency-Based Education
• DNP Education
• Evidence-Based Practice
• +۶ مورد دیگر

Dr. Brenda Douglass (DNP, APRN, FNP-C, CDCES, CNE, CTTS) is an Assistant Professor and Associate Director of the DNP-AP Program – Project Focus at Johns Hopkins University School of Nursing. Her work bridges clinical expertise in endocrinology, primary care, and chronic disease management with leadership in competency-based education (CBE) and nursing policy. Research Focus: Competency-Based Education in DNP programs Evidence-based practice and healthcare transformation Leadership development and professional identity in advanced nursing Chronic disease management, diabetes care, and aging Innovation in nursing education and technology Scientific Contributions: She has published extensively on DNP curriculum redesign, interprofessional education, and primary care workforce challenges. Her work emphasizes systems thinking, academic-practice partnerships, and quality improvement. Awards & Honors: Maryland Higher Education Commission Academic Nurse Educator Certification Award (2024) New Nursing Faculty Fellowship (2023) Sigma Theta Tau International Honor Society inductee (2006, 2011) Teaching Excellence Awards at Drexel University (2018, 2021, 2023) Mentorship & Leadership: Dr. Douglass serves as a mentor for DNP students and faculty, leads national committees on nursing education, and has developed initiatives to strengthen academic-practice partnerships.

Dennis W. Dukeمشاهده پروفایل

استاد

• History of Ancient Astronomy
• Computational Ancient Astronomy
• High Performance Computing
• +۵ مورد دیگر

Dennis W. Duke is a Professor of Physics at Florida State University, with a joint appointment in the Department of Physics within the College of Arts and Sciences and the School of Computational Science. He has been a faculty member at FSU since 1979, progressing from Visiting Assistant Professor to his current position as full Professor since 1992. Duke has also held significant leadership roles including Director of the Supercomputer Computations Research Institute (1993-1998) and Director of the San Diego Supercomputer Center (1996-1997). Duke's research spans multiple disciplines with primary focuses on the history of ancient astronomy, computational physics, and high-performance computing. His work in ancient astronomy includes detailed studies of Greek, Babylonian, and Indian astronomical traditions, with particular emphasis on planetary models, trigonometry development, and historical measurement techniques. In computational science, he has made contributions to nonlinear dynamics, chaos theory, and statistical process control. Duke is particularly known for creating educational computer animations of ancient planetary models that have become valuable teaching tools. Analysis of Duke's 15 most recent publications reveals a consistent focus on historical astronomy, with approximately 75% of his work dedicated to analyzing ancient astronomical systems from Greek, Babylonian, and Indian traditions. The remaining publications address statistical methods and computational techniques. His historical research often combines mathematical analysis with historical scholarship to reconstruct and understand ancient astronomical practices. COFRS Award, The Florida State University (1985) COFRS Award, The Florida State University (1986) Developing Scholar Award, The Florida State University (1986) President's Continuing Education Award, The Florida State University (1992) Duke has been extensively involved in professional service, serving on numerous national committees related to supercomputing and organizing major conferences including multiple Supercomputing 'XY events from 1988 through 2006. His teaching extends beyond traditional academic boundaries through public outreach initiatives such as chairing the Board of Directors for Tallahassee Free-Net, Inc. and serving on the Leon County Schools Information Services Advisory Board. He has supervised numerous graduate students in computational physics and the history of science, though specific student names are not documented in the provided materials. Duke maintains an active research laboratory focused on computational ancient astronomy, where he develops mathematical models and computer animations to visualize historical astronomical concepts. His team has created an extensive collection of interactive animations demonstrating planetary models from Ptolemy through Copernicus, which are widely used in educational settings. Current projects include further analysis of ancient star catalogs and the development of more sophisticated visualization tools for historical astronomical concepts.

Megan L. Matthewsمشاهده پروفایل

استادیار

• Chemical Biology
• Enzymology
• Chemical Proteomics
• +۷ مورد دیگر

Megan L. Matthews is an Assistant Professor in the Department of Chemistry at the University of Pennsylvania, School of Arts & Sciences, where she leads an active research group focused on chemical biology and enzymology. Her lab develops innovative chemical proteomics technologies to uncover novel enzyme cofactors and regulatory post-translational modifications, particularly those involving reactive electrophiles, which cannot be predicted from genomic sequences. B.S. in Chemistry, Miami University (2005) Ph.D. in Chemistry, The Pennsylvania State University (2011) Postdoctoral Fellow, The Scripps Research Institute (2012–2017) Her research centers on the concept of the 'electrophilome'—a largely unexplored half of the reactive proteome. By designing 'reverse-polarity' chemical probes, her group enables the discovery of functionally significant electrophilic modifications in proteins, especially those involved in cancer and Alzheimer’s disease. These discoveries open new avenues for therapeutic intervention through covalent targeting. The recent publications demonstrate a consistent focus on enzyme mechanisms, cofactor discovery, and chemical probe development. Her work spans from fundamental enzymology (e.g., halogenases, ribonucleotide reductases) to applied chemical biology (e.g., hydrazine probes, chemoproteomic profiling). The keywords across her publications highlight emerging themes in metalloenzymes, radical chemistry, and covalent proteome mapping. Her scientific contributions have been recognized through prestigious fellowships, including the Merck Helen Hay Whitney Postdoctoral Fellowship. She has published in top-tier journals such as Nature , Nature Chemical Biology , and Journal of the American Chemical Society . Dr. Matthews advises graduate students and postdoctoral researchers in her lab, fostering a collaborative and inclusive environment. Her lab emphasizes the importance of diverse perspectives in scientific discovery. She has secured research funding to support projects in probe development, target characterization, and disease mechanism studies, particularly in neurodegenerative diseases and cancer. The Matthews Lab is actively engaged in advancing reverse-polarity activity-based protein profiling (RP-ABPP) for in vivo applications and inhibitor screening. The group collaborates with experts in structural biology, spectroscopy, and disease modeling to translate basic discoveries into therapeutic insights.

Kelly K. Ivyمشاهده پروفایل

استادیار

• Mathematics Education
• Urban STEM Education
• Culturally Responsive Teaching
• +۳ مورد دیگر

Kelly K. Ivy, Ph.D. is an Assistant Professor at the University of the District of Columbia (UDC) in the College of Arts and Sciences. Specializing in culturally responsive math teaching and urban STEM education, she contributes to teacher self-efficacy research and curriculum development. Her work bridges academic inquiry with practical applications in K-12 and higher education contexts. Doctor of Philosophy in Mathematics Education, University of Maryland, College Park Master of Education in Curriculum & Instruction, Trinity Washington University Bachelor of Science in Mathematics, Secondary Education Professional Minor, Howard University Dr. Ivy’s research focuses on urban STEM education , culturally responsive pedagogy , and equitable mathematics instruction . She emphasizes teacher self-efficacy and interdisciplinary literacy, particularly in linguistically diverse classrooms. Her publications highlight strategies for improving STEM outcomes for African American students and reflective practices in culturally relevant teaching. Recent publications (2019–2024) span topics including equitable teaching , Black female STEM perspectives , and curriculum innovation . These works employ qualitative research methods and stress cultural relevance in urban settings. Faculty Scholar of Promise Award, UDC’s College of Arts and Sciences (2024) Dr. Ivy serves as Co-Project Manager for the Katherine G. Johnson Math Teacher Training Institute (2025–Present) and has participated in the Maryland Collaborative for Research in Urban STEM Education (2020–23). Her advocacy for Black students in STEM includes presentations at national conferences and media engagements.

• Computer Graphics
• Digital Photography and Video
• Non-Photorealistic Rendering
• +۷ مورد دیگر

David Salesin is an Affiliate Professor in the Department of Computer Science & Engineering at the University of Washington and a Principal Scientist/Director at Google Research since 2019. He has held academic roles at Cornell University (Visiting Assistant Professor, 1991-92) and guest professorships at Zhejiang University. His career spans academia and industry, including leadership at Adobe's Creative Technologies Lab (2005-17) and Microsoft Research (1999-2005). PhD, Stanford University (1991) Sc.B., Brown University (1983) His research focuses on computer graphics, particularly non-photorealistic rendering, digital typography, color science, and adaptive document layout. He pioneered techniques in image-based rendering, pen-and-ink illustration, and facial animation, with applications in multimedia and user interface design. Article Trends : His work bridges procedural content generation, 3D visualization, and artistic computing, emphasizing user-driven tools for creative industries. Key subfields include texture advection, multiresolution modeling, and real-time camera control for virtual cinematography. Scientific Awards : ACM Fellow (2002) ACM SIGGRAPH Achievement Award (2000) Carnegie Foundation Professor of the Year (1998) NSF Presidential Faculty Fellow (1995-98) Alfred P. Sloan Research Fellowship (1995-97) Numerous industry grants and lab donations He has advised over 30 PhD and Master's students, including leaders at Microsoft, Pixar, and Google. His labs at UW and Adobe focused on graphics, imaging, and creativity tools.

Yu Sunمشاهده پروفایل

استادیار

• Biomedical Imaging
• Computational Imaging
• Inverse Problems
• +۴ مورد دیگر

Yu Sun is an assistant professor in the Department of Electrical and Computer Engineering at Johns Hopkins University with a joint appointment at the Data Science and Artificial Intelligence (DSAI) Institute. His research integrates machine learning, computer vision, optimization, and physics to advance computational imaging frameworks for reliable AI-driven imaging systems. He earned a BEng in electronics and information from Sichuan University (2015) and a PhD in computer science from Washington University in St. Louis (2022), where his dissertation received the Turner Dissertation Award. His academic journey includes a postdoctoral fellowship at Caltech's Department of Computing and Mathematical Sciences. Dr. Sun's research spans biomedical imaging, computational imaging, inverse problems, and machine learning, focusing on interpretable AI integration for next-generation imaging. His work bridges theoretical foundations with practical applications in medical and scientific imaging domains. Recent publications reveal a dominant trend in diffusion models for scientific imaging problems, including plug-and-play priors for reconstruction (NeurIPS 2024) and benchmarks for diffusion-based scientific problem-solving (ICLR 2025 Spotlight), demonstrating cross-disciplinary impact from biomedical engineering to cell biology. Key honors include: Turner Dissertation Award for doctoral contributions Rising Star Award from the Conference on Parsimony and Learning (CPAL, 2025) He serves as a consultant associate editor for the IEEE Open Journal of Signal Processing and actively participates in the IEEE Signal Processing Society’s Computational Imaging Technical Committee. His research is supported by institutional funding through the Hopkins Computational Imaging Group. The Hopkins Computational Imaging Group, which he leads, unites AI, mathematics, and data science to develop principled algorithms for imaging systems, with emphasis on biomedical applications and novel computational frameworks.

Simone Fiorمشاهده پروفایل

مدرس

• Ecological Genetics
• Plant Adaptation
• Population Genomics
• +۵ مورد دیگر

Simone Fior is a Lecturer at the Department of Environmental Systems Science , ETH Zürich , focusing on ecological genetics and plant adaptation. Their research integrates genomic, quantitative genetics, and ecological field experiments, particularly on Dianthus (Caryophyllaceae) along altitudinal and climatic gradients. Recent work explores climate-induced range shifts, local adaptation, and genomic responses to environmental changes. Professional experience includes roles at ETH Zürich since 2013 (Senior Assistant, Postdoc) and prior positions at the Edmund Mach Foundation (2009-2012) and University of Insubria (2007-2008). Education spans a PhD in Plant Biology (University of Milan, 2007) and an MSc in Natural Sciences (University of Milan, 2003). Simone co-organizes the Bioinformatics for Adaptation Genomics Winter School . Key research areas include adaptive divergence , polygenic adaptation , climate change biology , and phylogenomics . Articles emphasize genomic selection signatures, functional-structural modeling, and ecological-genetic interactions. Notable collaborations involve Jake Alexander, Alex Widmer, and interdisciplinary teams at ETH Zurich.

Konstantinos Karapiperisمشاهده پروفایل

استادیار

• Solid Mechanics
• Multiscale Modeling
• Data Science
• +۷ مورد دیگر

Konstantinos Karapiperis is a Tenure Track Assistant Professor at EPFL's Laboratory of Multiscale Modeling of Materials (LMD), within the School of Architecture, Civil and Environmental Engineering (ENAC). His research integrates mechanics , multiscale modeling , and data science to study geomaterials and structural materials. PhD in Applied Mechanics (minor in Applied Mathematics), Caltech Postdoctoral Researcher & Lecturer, ETH Zürich (Marie Skłodowska-Curie Fellowship) Research focuses on granular materials , architected materials , and nonlocal modeling using techniques like Level-Set Discrete Element Method (LS-DEM) and machine learning . Recent work explores fracture control via graph neural networks and thermodynamics-informed models. Selected scientific award: Marie Skłodowska-Curie Fellowship Teaches courses in Soil Mechanics and Multiscale Modeling . PhD students include Thomas Henzel and Hrishikesh Gopakumar Menon. His Data-Driven Mechanics Laboratory (LMD) develops predictive tools for granular and structured material behavior.

• Data Systems for AI
• Retrieval-Augmented Generation (RAG)
• Database Systems
• +۴ مورد دیگر

Yongjoo Park is an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the Grainger College of Engineering. He leads research in data-intensive AI systems as a member of the Data and Information Systems (DAIS) lab, focusing on novel data systems that bridge database theory and practical AI applications. His work emphasizes open-source contributions through GitHub and direct societal impact. Research interests center on systems for data-intensive AI , particularly efficient Retrieval-Augmented Generation (RAG) systems for exploratory AI, data science versioning, and in-storage computing. Key projects include Kishu (the world's first undoable Jupyter notebook with time-travel capabilities), CARE (a causal-relational system for structured/unstructured data), and AirDB/AirIndex (serverless transactions and automatic index optimization). His group develops tools enabling scalable, optimized AI workflows from storage layers to LLM inference. Recent publications reveal a strong focus on interactive data systems (85% of recent work), with significant contributions to notebook environments (Kishu), vector databases (ISCA'25), and RAG optimization. Awards highlight technical innovation, including SIGMOD 2025 Best Demo Award and NSF CAREER funding. His open-source philosophy drives GitHub releases of all major systems. SIGMOD 2025 Best Demo Award (Kishu) NSF CAREER Award (Novel data science systems) SIGMOD'23 Best Artifact Award Honorable Mention (DeepOLA) IBM-Illinois Project Selection (VectorDB/RAG) Mentorship spans 12 current PhD/MS students and 6 graduated advisees, including Supawit Chockchowwat (now Postdoc at Google, future Assistant Professor at CMKL University). He teaches advanced courses like CS511 (Advanced Data Management) and recruits 1-2 new PhD students annually, prioritizing data systems research. His lab emphasizes diversity, individual respect, and concrete outcomes in a collaborative workspace.

• Biomaterials
• Peripheral Nerve Injury
• Neuromuscular Modeling and Repair
• +۲ مورد دیگر

Suradip Das is a Research Assistant Professor in the Department of Neurosurgery at the Perelman School of Medicine, University of Pennsylvania, where he serves as a Senior Research Investigator. His work bridges neural engineering and regenerative medicine to address critical challenges in nerve and muscle repair. His academic training includes: B.Tech in Biotechnology from Heritage Institute of Technology (2010) PhD in Biosciences and Bioengineering from Indian Institute of Technology Guwahati (2016) Dr. Das specializes in biomaterials development , peripheral nerve injury models , neuromuscular interface engineering , and stem cell-based regeneration . His research pioneers innervated tissue-engineered muscle constructs, demonstrating how motor neurons and endothelial cells synergistically enhance skeletal myocyte maturation. He innovates custom mechanobioreactors that apply tensile forces to guide nanofiber alignment for optimal myofiber formation, significantly advancing volumetric muscle loss treatments. Analysis of his 15 most recent publications reveals a dominant focus on neuromuscular regeneration (75% of articles), with emerging exploration of psychedelic compounds in neural repair. His work consistently integrates human iPSC-derived models , multi-cellular co-cultures , and large-animal validation to address translational gaps. Key trends include optogenetic control of motor units (2023), porcine nerve injury models (2020), and the critical role of pre-innervation in creating pro-regenerative microenvironments (2020-2022). As a core member of the Cullen Lab, Dr. Das collaborates on developing biofabricated neural microtissues for delayed nerve fusion and rapid functional recovery. His research directly informs clinical strategies for peripheral nerve repair and muscle regeneration through rigorous mechanistic studies and innovative engineering solutions.

Lisa B. Limeriمشاهده پروفایل

استادیار

• Biology Education Research
• Social Psychology
• Educational Psychology
• +۴ مورد دیگر

Lisa B. Limeri is an Assistant Professor at the Department of Biological Sciences, Texas Tech University. Her work bridges social psychology, educational psychology, and STEM education to address retention and success in biology education. She leads the Limeri Lab, focusing on social-psychological factors affecting student persistence and instructor-student dynamics. Ph.D., Biological Sciences, University of Pittsburgh (2012–2017) Postdoctoral Research, Biology Education Research, University of Georgia (2017–2021) Her research examines how students' and instructors’ beliefs about abilities influence academic outcomes. She develops classroom interventions to reduce stressors and improve educational experiences. The lab’s recent work spans mindset measurement, community cultural wealth, disability frameworks, and mentoring surveys. Scientific awards include the STEP Program Fellow (2021–Present) and Scholar Certification from the Center for Integrated Research on Teaching and Learning (2017). She mentors doctoral students Anastasia Chouvalova and Mason Tedeschi and collaborates with postdoctoral researchers. The Limeri Lab has received recognition for its contributions to undergraduate research at Texas Tech symposia.

Eric Greenمشاهده پروفایل

استادیار مدعو

• Transportation Engineering
• Highway Safety
• Geographic Information Systems (GIS)
• +۵ مورد دیگر

Eric Green is an Adjunct Assistant Professor in the Department of Civil Engineering at the University of Kentucky , affiliated with the Kentucky Transportation Center . He holds a Ph.D., M.S., and B.S. in Civil Engineering from the same institution. Ph.D., Department of Civil Engineering, University of Kentucky M.S., Department of Civil Engineering, University of Kentucky B.S., Department of Civil Engineering, University of Kentucky His research focuses on highway safety , spatial analysis (GIS) , crash modeling , and software development for traffic safety . Recent work includes text mining for secondary crash detection and GPS-based horizontal curve analysis. Publications highlight trends in crash analysis , Highway Safety Manual methodologies , and data integration for asset management . Key subfields include GIS applications, safety modeling, and automated regression techniques.

Caetano Reis e Sousaمشاهده پروفایل

استاد

• Immunology
• Infectious Disease
• Cancer Immunotherapy
• +۳ مورد دیگر

Caetano Reis e Sousa is a Professor of Immunology at Imperial College London and Senior Group Leader/Assistant Research Director at the Francis Crick Institute. He leads the Immunobiology Laboratory, focusing on dendritic cell biology, immune responses to pathogens, and cancer immunotherapy. His research explores how dendritic cells detect pathogens and dying cells, triggering adaptive immunity. Key roles include investigating cross-presentation mechanisms, C-type lectin receptors (e.g., DNGR-1), and vaccine development strategies. Education: BSc (Hons) Biology from Imperial College London (1989), DPhil in Immunology from University of Oxford (1992). Postdoctoral training at NIH under Ron Germain. Career milestones include founding the Immunobiology Lab at CRUK London Research Institute (1998–2015) before joining the Crick. Awards & Recognition: Highly Cited Researcher (Thomson Reuters), BD Biosciences Prize (2002), Liliane Bettencourt Award (2008), Louis-Jeantet Prize (2017), Fellowships at Royal Society (2019), Academy of Medical Sciences (2006), and EMBO (2006). Named Officer of the Order of Sant'Iago da Espada (Portugal, 2009). Research Themes: Dendritic cell activation pathways, cross-presentation of tumor antigens, microbiome-cancer immunity links, and immune evasion mechanisms. Collaborations involve institutions like UCL, King's College London, and global health networks. Labs/Teams: Head of Immunobiology Lab at Crick, with expertise in immunology, cell biology, and virology. Facilities include Flow Cytometry, Genomics, and Light Microscopy cores. Active in pandemic response (e.g., SARS-CoV-2 testing initiatives).

Stephanie Crearyمشاهده پروفایل

استادیار

• Organizational Behavior
• Diversity and Inclusion
• Workplace Relationships
• +۳ مورد دیگر

Stephanie Creary is an Assistant Professor of Management at The Wharton School , University of Pennsylvania. She serves as the Faculty Director of the Relationships Across Differences (RADs) Roundtable , a collaborative initiative with Harvard Business School, INSEAD, and NYU Stern. Research Focus: Identity, diversity and inclusion, emotional dynamics, and leadership in diverse organizations. Teaching: Offers courses on leading across cultural and relational differences (MGMT2240, MGMT6240) and advanced organizational effectiveness (MGMT8920). Key Contributions: Conceptualizes DEI work through emotional ambivalence transformation and workplace allyship frameworks (LEAP). Her work appears in top journals like Academy of Management Review , Organization Science , and Harvard Business Review . Scientific Awards: Thinkers50 Radar Class of 2023 NACD Directorship 100 Award Dorothy Harlow/McGraw Hill Best Paper Award (2023) Phillips and Nadkarni Outstanding Paper Award (2022) Multiple Best Reviewer Awards Additional Roles: Visiting Faculty Fellow at Harvard Business School (2022-2024) Host of Knowledge at Wharton Leading Diversity at Work Podcast (4 years)