جست‌وجوی استاد و پژوهشگر

Deborah Rivas-Drakeمشاهده پروفایل

استاد

• Ethnic-Racial Identity Development
• Youth Development
• Social-Emotional Learning (SEL)
• +۷ مورد دیگر

Deborah Rivas-Drake is the Stephanie J. Rowley Collegiate Professor in the Marsal Family School of Education and a Professor of Psychology in the College of Literature, Science, and the Arts at the University of Michigan. Her research focuses on how educational, familial, and community contexts shape adolescents’ racial and ethnic identity, socioemotional well-being, and civic engagement. She co-directs the Contexts of Academic + Socioemotional Adjustment (CASA) Lab, emphasizing practices that disrupt racism and xenophobia. Her work is funded by NSF, Spencer Foundation, and W.T. Grant Foundation. She has authored/co-authored influential books like Below the Surface: Talking with Teens about Race, Ethnicity, and Identity , which won major awards. She holds leadership roles in SRCD and SRA committees, advocating for equity in education and youth development. Her research highlights the role of ethnic-racial socialization, discrimination, and intergroup contact in youth outcomes. She collaborates with educators and policymakers to translate research into practical tools for schools and families. Key contributions include frameworks for equity-focused social-emotional learning (SEL), strategies for undocumented families, and interventions to foster civic responsibility. Her grants include initiatives like the 'INVITE: Inclusive and Innovative Intelligent Technologies for Education' project and measures of equity-based SEL practices. Rivas-Drake’s awards reflect her impact on developmental science and policy. She bridges academia with community engagement, advising school districts and organizations like CASEL and Sesame Workshop. Her work underscores intersectionality, emphasizing how race, class, and immigration status interact to shape youth experiences. The CASA Lab’s interdisciplinary approach addresses systemic inequities through rigorous research and actionable solutions.

Pablo Durango-Cohenمشاهده پروفایل

دانشیار

• Transportation Infrastructure Management
• Optimization
• Econometrics
• +۵ مورد دیگر

Pablo Durango-Cohen is an Associate Professor of Civil and Environmental Engineering at Northwestern University, located in Evanston, IL. He holds a Ph.D. in Industrial Engineering and Operations Research from UC Berkeley, following an M.S. from the same program and a B.S. in Industrial and Systems Engineering from the University of Southern California. His research focuses on developing and analyzing optimization and econometric models for transportation infrastructure systems, integrating environmental design, life-cycle assessment, and policy analysis to address decarbonization challenges in freight systems. He also explores dynamic segmentation models for nonprofit fundraising strategies. Education: Ph.D. Industrial Engineering and Operations Research, University of California, Berkeley (2006) M.S. Industrial Engineering and Operations Research, University of California, Berkeley B.S. Industrial and Systems Engineering, University of Southern California Research Interests: Prof. Durango-Cohen’s work bridges transportation engineering, environmental science, and operations research. He emphasizes infrastructure management through data-driven frameworks, including statistical process control for condition monitoring and predictive maintenance. His recent projects address decarbonization of freight rail systems, electric vehicle impacts on road infrastructure, and optimal auction designs for road concessions. He also applies mathematical models to analyze donor behavior and fundraising efficiency in universities, aiming to improve nonprofit resource allocation strategies. Awards: NSF Faculty Early CAREER Development Award (2006) Young Author Prize, 2007 World Congress on Transport Research Matthew G. Karlaftis Best Paper Awards (2020–2025) Advising & Grants: He advises current PhD candidates including Jing Yu, Adrian Hernandez, and Callahan Skiles, while mentoring former students across sustainability, infrastructure, and fundraising analytics. His research is supported by agencies like the National Science Foundation, Department of Energy (through ARPA-E), and Department of Transportation. He co-leads the LOCOMOTIVES project with ANL researchers, focusing on decarbonizing rail networks, and founded the Virtual Inter-university Symposium on Infrastructure Management (VISIM) to foster academic collaboration. Labs & Teams: As Principal Investigator (PI) on major initiatives like LOCOMOTIVES and VISIM, he collaborates with multidisciplinary teams at Northwestern and Argonne National Laboratory. His group develops tools such as the Locomotives interactive dashboard and a computational framework for input-output lifecycle assessments, accessible via repositories like CivEnv304 .

Joe Patonمشاهده پروفایل

استاد

• Neural Mechanisms of Time
• Interval Timing
• Rodent Neurophysiology
• +۵ مورد دیگر

Joe Paton is a Professor and Principal Investigator at the Champalimaud Neuroscience Programme, Champalimaud Foundation in Lisbon, Portugal. He leads the Paton Lab which focuses on understanding how animals determine which environmental cues are predictive of behaviorally relevant events, known as the credit assignment problem. His research combines behavioral experiments with neurophysiological recordings in rodents to investigate neural mechanisms of time perception and decision making. Dr. Paton's research interests center on interval timing, temporal processing in the brain, and the neural basis of learning. His work particularly examines how the striatum and dopamine systems contribute to time perception and how animals solve the credit assignment problem through statistical inference in the time domain. His lab employs advanced techniques including optogenetics, neural recordings, and computational modeling to address these questions. Analysis of Dr. Paton's recent publications reveals a strong focus on striatal function in timing processes, with particular attention to how neural populations encode temporal information. His work bridges behavioral neuroscience with computational approaches, demonstrating how timing mechanisms influence decision making and learning processes. The research spans multiple levels from cellular mechanisms to behavioral outputs. Midbrain dopamine neurons control judgment of time (2016) Striatal dynamics explain duration judgments (2015) A Scalable Population Code for Time in the Striatum (2015) The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions (2018) Dr. Paton has mentored numerous PhD students and postdoctoral researchers through the INDP (International Neuroscience Doctoral Program) and supervises a diverse team including research technicians, postdocs, and students. His lab has contributed significantly to understanding the neural basis of time perception and its role in learning and decision making. The Paton Lab also develops experimental tools and frameworks like Bonsai for behavioral neuroscience research.

Pierre Flenerمشاهده پروفایل

استاد

• Artificial Intelligence
• Constraint Programming
• Discrete Optimization
• +۵ مورد دیگر

Pierre Flener is a Professor at the Department of Information Technology, Division of Computing Science at Uppsala University. He leads the Optimisation Group and is a member of the Centre for Interdisciplinary Mathematics. His work focuses on constraint programming and discrete optimization, addressing complex scheduling, routing, and resource allocation challenges. Flener is an Officer of the Order of Merit of Luxembourg and co-founder of NordConsNet, the Nordic Network for Constraint Programming researchers. Research Interests: Flener’s research spans constraint programming, combinatorial optimization, and algorithm design. He develops models and tools for automated decision-making in domains like air traffic management, sensor networks, and industrial robotics. His work emphasizes practical applications, leveraging constraint satisfaction techniques to solve real-world puzzles such as vehicle routing and personnel allocation. Key Contributions: Flener has authored over 100 publications on constraint solving, symmetry breaking, and CP-based approaches to industrial problems. Notable projects include airspace sectorization optimization, energy-efficient sensor networks, and financial portfolio design. He has led initiatives like Auto-Tabling for MiniZinc and collaborated on CP applications in bioinformatics and image processing. Labs & Teams: He heads the Optimisation Group at Uppsala, fostering research in CP and its applications. NordConsNet, co-founded by Flener, connects Nordic researchers and practitioners in constraint technology.

Mendel Rosenblumمشاهده پروفایل

استاد

• System Software
• Distributed Systems
• Computer Architecture
• +۴ مورد دیگر

Mendel Rosenblum is the Cheriton Family Professor and holds dual appointments as Professor in the Departments of Computer Science and Electrical Engineering at Stanford University. He is a co-founder of VMware Inc. and served as its Chief Scientist for its first decade, playing a pivotal role in designing foundational virtualization technologies. Rosenblum's research focuses on system software, distributed systems, and computer architecture, with notable contributions to virtualization, data center networks, and operating systems. He leads the Platform Lab at Stanford, exploring next-generation data center technologies and high-performance computing systems. Administrative Role: Faculty Director of Stanford Computer Forum (2012–present) Education: PhD (UC Berkeley, 1992), MS (UC Berkeley, 1989), BA (University of Virginia, 1984) His research interests span disk storage management, computer simulation, scalable operating systems, and security. Recent work emphasizes deployable consensus algorithms, programmable smartNICs, and self-programming networks. Rosenblum has authored over 80 publications and holds multiple patents in virtualization and system software. Awards & Recognition: ACM System Software Award (2009) IEEE Computer Entrepreneur Award (2011) ACM Thacker Breakthrough in Computing Award (2018) Member, National Academy of Engineering (2013) He advises PhD and Master's students, including current advisees Sina Jandaghi Semnani and Zixi Liu. Rosenblum teaches advanced courses on web applications, distributed systems, and independent research projects.

Vivek Nallurمشاهده پروفایل

استادیار

• Machine Ethics
• Multi-Agent Systems
• Complex Systems
• +۵ مورد دیگر

Dr. Vivek Nallur is an Assistant Professor in the School of Computer Science at University College Dublin. His research focuses on Machine Ethics, Multi-Agent Systems, emergence in socio-technical systems, and decentralized adaptation mechanisms. He holds a PhD from the University of Birmingham and advanced certifications in university teaching from UCD. Education: BBS, Delhi University Post-Graduate Diploma in Advanced Software Technology, National Centre for Software Technology MS, Carnegie Mellon University PhD, University of Birmingham Prof Cert University Teaching & Learning, University College Dublin Research Interests: Machine Ethics explores ethical decision-making in autonomous systems, while Multi-Agent Systems (MAS) are his primary tool for studying self-adaptation and emergence. He serves on key committees like IEEE P7008 (Ethically Driven Nudging) and the AAAI 2021 Spring Symposium on AI Ethics. His work bridges computer science with philosophy, law, and social sciences. Advising & Grants: Supervises three PhD students focusing on ethical AI, elder-care robotics, and AI governance. Leads the Machine Ethics Research Group and participates in the ML-Labs SFI grant (2019–2027). Professional Roles: Senior Member of IEEE, organizer for AAAI ethics symposia, and contributor to OpenAAL's ELSI panel. Teaches modules on Machine Learning, Operating Systems, and Web Development.

• Biomedical Engineering
• Biofabrication
• Tissue Engineering
• +۷ مورد دیگر

Professor Mia Woodruff is a leading academic at Queensland University of Technology (QUT), holding the position of Professor in the School of Mechanical, Medical and Process Engineering within the Faculty of Engineering. She is the Group Leader of the Biofabrication and Tissue Morphology Group and Acting Director of the Herston Biofabrication Institute. Her research focuses on biofabrication, tissue engineering, and 3D printing applications in medicine, particularly in bone regeneration, vascular surgery, and personalized prosthetics. Woodruff holds a PhD in Materials Engineering from the University of Nottingham, UK. She has led over $40 million in external grants, including ARC and Advance Queensland funding. Her work emphasizes translating biofabrication technologies into clinical practice, such as developing patient-specific implants and surgical tools. She has published over 120 peer-reviewed articles and co-founded initiatives like the Herston Biofabrication Institute to bridge clinical, research, and industry collaboration. Key research areas include composite biomaterials, 3D scanning/modelling, electrospinning, and large-animal models for bone regeneration. She has been awarded the QUT Vice Chancellor’s Research Fellowship and ARC Fellowship. Her outreach efforts include promoting STEM through media appearances and school programs, such as the 3D Printing in All High Schools initiative. Grants & Awards $40M Innovation Manufacturing CRC (Co-Investigator) $3.72M ARC Industrial Transformation Training Center (Additive Biomanufacturing) Advance Queensland Fellowships ($1.2M Cluster Grant for Biofabrication) Media & Engagement Featured in SCOPE TV, SBS The Feed , and ABC News Keynote speaker at global conferences (e.g., TERMIS, ORS) Research Infrastructure Herston Biofabrication Institute: Integrates 3D printing, clinical trials, and patient collaboration World-first Biofabrication Master’s program launched in 2014

• Computational Sociology
• Gender Studies
• Social Movements
• +۴ مورد دیگر

Laura K. Nelson is an Associate Professor of Sociology at the University of British Columbia , where she also directs the Centre for Computational Social Science . Her work bridges computational methods with sociological inquiry, focusing on gender inequality, social movements, and organizational dynamics. She previously held faculty roles at Northeastern University and affiliated with institutions like the NULab for Texts, Maps, and Networks and the Network Science Institute . Education: PhD in Sociology (2014), University of California, Berkeley MA in Sociology (2009), University of California, Berkeley BA in Sociology (2006), University of Wisconsin-Madison (Phi Beta Kappa) Research Interests span computational sociology, social movement strategy, intersectionality, and STEM equity. She pioneered frameworks like computational grounded theory and radical objectivity , integrating machine learning with qualitative paradigms. Recent publications analyze gender dynamics in emergency medicine, feminist movement histories, and the NSF ADVANCE program’s impact on equity. Her 2024 Social Science Quarterly paper quantifies ADVANCE’s interdisciplinary reach. Awards include the 2020 Best Meta-Reviewer at SocInfo20 and Outstanding Faculty of the Year at Northeastern University. She serves on editorial boards for American Journal of Sociology , Poetics , and Acta Sociologica . She co-PIs a National Science Foundation grant studying gender-equity dissemination in higher education networks and supervises graduate student Jinyang Yu . Her lab, Centre for Computational Social Science , drives open-source methodological innovation.

Carsten Nowakمشاهده پروفایل

استاد پژوهشی

• Conservation Genetics
• Wildlife Monitoring
• Environmental DNA (eDNA) Analysis
• +۵ مورد دیگر

Dr. Carsten Nowak serves as Head of Conservation Genetics at the Senckenberg Research Institute and Natural History Museum Frankfurt, where he leads the national reference center for genetic analyses of wolves and lynx. His work bridges cutting-edge molecular methods with practical conservation applications, focusing on wildlife monitoring and species preservation. Since 2010, his laboratory has been responsible for central examination of all samples collected through Germany's nationwide wolf and lynx monitoring programs. Nowak's research interests center on developing highly sensitive molecular marker systems for wildlife monitoring, with particular expertise in environmental DNA (eDNA) methods and SNP chips optimized for genotyping forensic and non-invasively collected environmental samples. His work addresses critical questions in conservation biology, including inbreeding, genetic impoverishment, population origins, and human environmental impacts on genetic population structures of native species. He investigates how genetic methods can clarify previously unanswered questions in nature conservation, where data limitations often hinder efficient and targeted conservation measures. His extensive publication record (2023-2025) reveals a strong focus on wolf population dynamics across Europe, hybridization detection methodologies, and conservation genomics of endangered species like the garden dormouse. Nowak's research demonstrates sophisticated approaches to tracking animal movements across national borders, assessing genetic diversity in recovering populations, and developing practical tools for non-invasive wildlife monitoring. His work on wolf-dog hybridization has particular policy relevance as wolf populations expand across Europe. As a public-facing scientist, Nowak regularly engages with policymakers and the public through presentations, media appearances, and citizen science projects. He has participated in high-profile events including briefings for Federal Environment Minister Svenja Schulze and numerous public lectures on wildlife conservation topics. His leadership extends to coordinating international research collaborations, including the CEwolf Consortium and various transboundary monitoring networks. Nowak directs the Center for Wildlife Genetics in Gelnhausen, where his team conducts DNA-based analyses of predator-prey interactions, livestock depredation incidents, and wildlife population monitoring. His laboratory serves as the national reference center for genetic analyses of wolves and lynx in Germany, processing samples from across the country to distinguish individuals, determine relatedness, and monitor population health. The center also develops molecular methods for detecting wolf-dog hybrids and other conservation genetics applications.

Volker J Schmidمشاهده پروفایل

استاد

• Bayesian Statistics
• Spatial Statistics
• Medical Imaging
• +۷ مورد دیگر

Volker J Schmid is a Professor of Bayesian Imaging and Spatial Statistics at the Department of Statistics, Ludwig Maximilian University of Munich. He leads the Bayesian Imaging and Spatial Statistics group and contributes to interdisciplinary initiatives like the Munich Center of Machine Learning. His work bridges statistical theory with applications in medical imaging and biology. PhD in Statistics (2004), LMU Munich Diploma in Statistics (2000), LMU Munich Abitur, Joseph-von-Fraunhofer-Gymnasium Cham (1993) His research focuses on Bayesian computational methods for high-dimensional data, particularly in medical imaging (MRI, DCE-MRI) and biological microscopy (e.g., 3D nuclear architecture analysis via super-resolution microscopy). Key applications include disease mapping , image segmentation , and spatio-temporal modeling . His software tools (e.g., nucim , bioimagetools , BAMP ) enable quantitative analysis in nuclear imaging and age-period-cohort modeling. His 15 most recent publications span Bayesian modeling for medical imaging , spatio-temporal epidemiology , and computational biology . Topics include co-localization metrics in fluorescence microscopy, nuclear architecture analysis, and dynamic Bayesian frameworks for MRI data. Collaborations extend to neuroimaging, oncology, and nuclear biology.

• Programming Language Design
• Program Verification
• Type Theory
• +۳ مورد دیگر

Neelakantan R. Krishnaswami is a Professor of Computer Science at the University of Cambridge's Computer Laboratory , and a Fellow of Trinity College . His research focuses on the intersection of program verification, programming language design, and foundational topics like type theory and semantics. His work spans areas such as refinement types, parser design, separation logic for systems software, and the semantics of reactive programming. Notable contributions include the Datafun language for higher-order Datalog and the λert type theory for explicit refinement types. He has also developed foundational frameworks for verifying imperative programs using advanced type systems and logical relations. Key publications include 'Explicit Refinement Types' (ICFP 2023), 'flap: A Deterministic Parser with Fused Lexing' (PLDI 2023), and 'CN: Verifying Systems C Code' (POPL 2023). His work frequently addresses challenges in efficiency, correctness, and modularity for both functional and imperative systems. His awards include Distinguished Paper Awards at PLDI 2019 and POPL 2020. His research integrates theoretical rigor with practical tooling, exemplified by contributions to languages like Coq, Lean, and Haskell.

Ting Huمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Bioinformatics
• Data Mining
• +۷ مورد دیگر

Dr. Ting Hu is an Associate Professor in the School of Computing at Queen's University, affiliated with the Faculty of Arts and Science. She leads the Machine Intelligence & Biocomputing (MIB) Laboratory, focusing on bio-inspired AI and bioinformatics. Her research bridges evolutionary computing, machine learning, and biomedical data analysis. Dr. Hu holds a PhD in Computer Science from Memorial University and completed postdoctoral training at Dartmouth College. She teaches courses with strong student evaluations, winning the Howard Staveley Teaching Award (2019-2020) and recognition as a Mental Health Champion (2023). Education: B.Sc. in Computational Mathematics, Wuhan University M.Sc. in Computer Science, Wuhan University PhD in Computer Science, Memorial University Postdoctoral Fellowship, Geisel School of Medicine, Dartmouth College Research Interests: Evolutionary algorithms and genetic programming Interpretable and explainable AI Biomedical data mining (metabolomics, genomics) Complex network analysis Applications in precision medicine and disease prediction Awards & Recognition: Queen's AMS Undergraduate Mentorship Award (2025) IEEE CIBCB Best Student Award (2022) Howard Staveley Teaching Award (2019-2020) NSERC Discovery Grant Reviewer (2019) Memorial University's Best Professor Award (2016) Lab & Collaborations: MIB Lab develops tools like geneDRAGNN (graph neural networks for gene-disease prioritization) Active roles in IEEE Computational Intelligence Society and EuroGP Advances include vaccination strategies via graph-RL and interpretable clustering methods

Patrick H. Maddenمشاهده پروفایل

دانشیار

• Combinatorial Optimization
• VLSI Design Automation
• Algorithms
• +۳ مورد دیگر

Patrick H. Madden is an Associate Professor and Director of the MS Information Systems program at the School of Computing, Binghamton University. His research focuses on combinatorial optimization, VLSI physical design automation, and algorithmic solutions for NP-Hard problems. He is also involved in interdisciplinary work in cryptography and biology-related optimization. Education: BS and MS from New Mexico Institute of Mining and Technology PhD from University of California, Los Angeles (UCLA) Professional Roles: Chair of ACM/SIGDA (Design Automation Special Interest Group) Chair of Design Automation Conference (DAC) Sponsors Committee Advisor to Binghamton ACM Student Chapter Coach for ICPC Programming Contest Teams Member of Watson School Graduation Committee Research Contributions: Leads the Optimality Research Group, developing optimization algorithms for VLSI CAD and medical software applications. Notable contributions include the Feng Shui placement tool and medical reference apps for iOS/Android platforms. Awards: SUNY Chancellor's Award for Excellence in Professional Service (2015) Grants & Collaborations: Collaborates with Prof. Monte McCollum (Cinema Department) on hybrid cinema projects and Dr. Joshua Steinberg (Physician) on medical software. Active in ACM committees and EDA conferences (DAC, ICCAD, ISPD). Labs/Teams: Directs the Optimality Research Group and oversees medical software collaborations through CS441/580 projects.

Maria K. E. Lahmanمشاهده پروفایل

استاد

• Qualitative Methodology
• Research Ethics
• Culturally Responsive Research
• +۴ مورد دیگر

Maria K. E. Lahman is a Professor in the Department of Applied Statistics and Research Methods within the College of Education and Behavioral Sciences at the University of Northern Colorado. She holds a Ph.D. in Child Development from Virginia Polytechnic Institute and State University (2001) and serves as Co-Chair of the Institutional Research Board at UNC. Her academic work bridges qualitative methodology with ethical research practices and creative representation. Dr. Lahman's research focuses on culturally responsive qualitative research, research ethics, early childhood education, and the aesthetic representation of research through poetry and other creative forms. Her scholarship addresses creating ethical solutions for culturally complex methodological situations, diversity issues, young children, mothering experiences, and qualitative writing representation. As a Mennonite, she integrates social justice and peacebuilding into her pedagogy and scholarship. Her recent publications show a clear trajectory toward innovative research representation, with a particular emphasis on research poetry and culturally responsive methodologies. The 15 most recent articles reveal a consistent focus on ethical research practices, creative representation forms, and culturally responsive approaches to qualitative inquiry, with increasing attention to poetry as a legitimate research method and representation form. Outstanding Advisor Award, College of Education and Behavioral Sciences, UNC (2008-2009) Outstanding Scholar Award, College of Education and Behavioral Sciences, UNC (2007-2008) Service Provider Award, University of Northern CO (2006-2007) Outstanding Teacher Award, College of Education, UNC (2002-2003) Dr. Lahman has advised numerous graduate students in qualitative methodology and has been recognized for her exceptional mentorship. Her research program has generated multiple textbooks including Ethics in Social Science Research: Becoming Culturally Responsive (2017) and Writing and Representing Qualitative Research (2021), which have become influential resources in the field. She maintains an active research agenda focused on advancing ethical research with diverse groups and developing innovative methods for representing qualitative findings. Her work centers around creating spaces for culturally responsive research practices, with particular attention to vulnerable populations and ethical dilemmas in fieldwork. Dr. Lahman's scholarship challenges traditional research boundaries through her exploration of research poetry and other aesthetic forms of representation that maintain academic rigor while embracing creative expression.

Hari Nairمشاهده پروفایل

استادیار

• Materials Synthesis and Processing
• Semiconductor Physics and Devices
• Advanced Materials
• +۱۲ مورد دیگر

Hari Nair is an Assistant Professor in the Department of Materials Science and Engineering at Cornell University, part of the College of Engineering. His research focuses on the synthesis and characterization of complex oxide thin films using molecular beam epitaxy (MBE), with applications in power electronics, quantum materials, and optoelectronics. B.Tech. in Engineering Physics, Indian Institute of Technology Madras, 2006 M.S. in Electrical and Computer Engineering, The University of Texas at Austin, 2008 Ph.D. in Electrical and Computer Engineering, The University of Texas at Austin, 2013 His research interests lie at the intersection of semiconductor physics, materials synthesis, and advanced functional materials. He specializes in epitaxial strain engineering, heterostructure design, and the control of electronic and magnetic properties in oxide thin films. His vision is to leverage novel materials to enable revolutionary advances in electronic and optoelectronic devices. Analysis of his recent publications reveals a strong focus on β-Ga₂O₃ for high-power devices and ruthenate-based quantum materials such as Sr₂RuO₄ and SrRuO₃. His work spans ultra-wide bandgap semiconductors, strain-engineered phase transitions, superconductivity, and spin-orbit phenomena. Techniques include MBE growth, THz spectroscopy, and advanced electron microscopy. Notable scientific awards include: Student Paper Award, Device Research Conference (DRC), 2013 The Ben Streetman Prize for Outstanding Research in Electronic and Photonic Materials and Devices, 2013 Student Paper Award, Electronics Materials Conference (EMC), 2012 Hari Nair has advised several graduate students and postdoctoral researchers, though specific names are not listed in the provided text. His work has been supported by grants from federal agencies and institutional programs focused on advanced materials and quantum science. He is actively involved in collaborative research through centers and labs at Cornell, particularly those related to materials synthesis and characterization. He leads a research group focused on the growth and study of epitaxial thin films, working closely with the D.G. Schlom group and other collaborators in the Kavli Institute at Cornell. His lab utilizes state-of-the-art MBE systems and advanced characterization tools for probing electronic, magnetic, and structural properties at the nanoscale.