جست‌وجوی استاد و پژوهشگر

Ori Lahavمشاهده پروفایل

دانشیار

• Programming Languages
• Verification
• Concurrency
• +۴ مورد دیگر

Ori Lahav is a faculty member in the School of Computer Science at Tel Aviv University. His research is generously supported by an ERC Starting Grant and an ISF Grant. He actively supervises PhD and MSc students, and seeks highly motivated candidates for postdoc, PhD, and MSc positions in programming language theory, concurrency, and formal methods. Dr. Lahav completed his PhD at Tel Aviv University under the supervision of Arnon Avron. In 2014, he was a postdoctoral researcher at Tel Aviv University hosted by Mooly Sagiv. From 2014 to September 2017, he was a postdoctoral researcher at MPI-SWS in Germany hosted by Viktor Vafeiadis and Derek Dreyer. His primary research areas focus on programming languages and verification, with specialization in concurrency and relaxed memory models. He also has significant interests in proof-theory, semantics of non-classical logics, and automated reasoning. His work bridges theoretical foundations with practical applications in programming language design and implementation. Dr. Lahav's publication record shows a consistent trajectory of high-impact research in top-tier conferences including PLDI, POPL, OOPSLA, and ESOP. His recent work (2023-2025) demonstrates continued leadership in memory models, concurrency semantics, and verification techniques. His research spans both theoretical contributions in denotational semantics and practical tools for verification. Best Paper Award DISC 2024 Best Student Paper Award DISC 2024 Distinguished Artifact Award ESOP 2022 Distinguished Paper Award OOPSLA 2021 Kleene Award for Best Student Paper LICS 2013 Dr. Lahav actively advises students including Yoav Ben Shimon, Yotam Dvir, Amir Karniel, and Roy Margalit (PhD students), Yuval Katsman Ezra (MSc student), and has alumni including Ori Saporta (MSc) and Abhishek Kr Singh (postdoc, now Assistant Professor at IIIT Hyderabad). He has organized significant events including VMCAI 2024 and Dagstuhl Seminars on persistent programming. His teaching portfolio includes courses on Shared Memory Concurrency Semantics, Programming Language Foundations, and Software Foundations in Coq.

Peter Haasمشاهده پروفایل

استاد

• Data Management
• Machine Learning
• Simulation
• +۶ مورد دیگر

Peter Haas is a Professor at the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst, with an adjunct role in Industrial Engineering. Previously, he spent 30 years as a Principal Research Staff Member at IBM Research and held a consulting professorship in Management Science and Engineering at Stanford University. His research focuses on applying probability and statistics to data management, simulation of complex systems, and machine learning scalability. Education : PhD, Operations Research, Stanford University, 1986 MS, Statistics, Stanford University, 1984 MS, Environmental Engineering, Stanford University, 1979 SB, Engineering and Applied Physics, Harvard University, 1978 Research Interests : Haas’s work spans stochastic systems, probabilistic databases (e.g., MCDB and SimSQL), sampling techniques, and simulation optimization. He pioneered methods for managing uncertain data and scalable machine learning, including compressed linear algebra for declarative systems. His recent focus includes in-database decision support and hybrid simulation metamodeling with neural networks. Key Contributions : He developed the Online Aggregation framework (SIGMOD 1997), which earned a Test-of-Time Award in 2007. His work on matrix factorization and distributed stochastic gradient descent (DSGD) revolutionized large-scale machine learning. He also advanced techniques for estimating distinct-values and correlation discovery in databases. Awards : A six-time recipient of IBM’s Pat Goldberg Memorial Award, he is an ACM and INFORMS Fellow. His honors include the VLDB Best Paper Award (2016), EDBT Best Paper (2018), and recognition in Communications of the ACM. Advising & Grants : He advises four current PhD students and has graduated Matteo Brucato. His IBM career included over 30 patents, including foundational work for DB2’s sampling capabilities and IBM Watson analytics. He leads the DREAM Lab, focusing on data systems for exploration and analytics. Labs/Teams : Directs the Data systems Research for Exploration, Analytics, and Modeling (DREAM) Lab, advancing projects like Splash (health system simulation) and SuDocu (document summarization by example).

• Film Studies
• Experimental Cinema
• Queer Cinema
• +۴ مورد دیگر

Cathy Lee Crane is a Professor at the Roy H. Park School of Communications within Ithaca College , specializing in directing actors for film. Since 1994, her work has redefined speculative history through lyrical, archival-based filmmaking. She received the prestigious Guggenheim Fellowship (2013) and has been honored with multiple awards, including Best Feature Documentary at the Syracuse International Film Festival (2020). Key Projects: Crossing Columbus (2020), terrestrial sea (2022), and the (X)-trACTION collective Residencies: Harun Farocki Institute (2022), Rockefeller Foundation Bellagio Center Her cross-platform border work challenges traditional storytelling, while her 16mm short films distributed by Canyon Cinema and Light Cone continue to shape experimental cinema. As SFIndie Fest 2018’s The Manhattan Front was declared a 'masterpiece' by Noel Burch, Crane remains a pivotal figure in queer and experimental film discourse. Scientific Awards: Guggenheim Fellowship (2013) New York Foundation for the Arts Fellowship Best Feature Documentary (Syracuse International Film Festival, 2020) Jury Citation (Festival de Cinema da Fronteira, 2022)

Charith Mendisمشاهده پروفایل

استادیار

• Compilers
• Programming Languages
• Machine Learning for Systems
• +۳ مورد دیگر

Charith Mendis is an Assistant Professor in the Siebel School of Computing and Data Science at the University of Illinois at Urbana-Champaign, with joint appointments in the Department of Computer Science, Electrical and Computer Engineering, and the Coordinated Science Lab. His research focuses on the intersection of compilers, program optimization, and machine learning systems. Dr. Mendis received his educational background from prestigious institutions: Ph.D. in Computer Science from Massachusetts Institute of Technology (2020) S.M. in Computer Science from Massachusetts Institute of Technology (2015) B.Sc. in Electronics and Telecommunication Engineering from University of Moratuwa (2013) His primary research interests center around compiler technology and machine learning systems. Mendis leads the ADAPT lab at UIUC, where his team works on creating high-performance ML optimization techniques and automated compiler construction using machine learning and formal methods. His work bridges the gap between traditional compiler design and modern machine learning approaches, with applications in tensor compilers, graph neural networks, and sparse computation. He has developed novel frameworks for optimizing deep learning workloads, verification of compiler transformations, and performance modeling for emerging hardware architectures. Mendis has established himself as a leading researcher in compiler optimization for machine learning systems, with a particular focus on tensor compilers, graph neural networks, and performance modeling. His recent publications demonstrate increasing sophistication in combining formal methods with machine learning techniques to solve challenging problems in compiler optimization and verification, with multiple papers accepted at top-tier conferences including OOPSLA, PLDI, POPL, and SIGMOD. His notable scientific achievements include: Google ML and Systems Junior Faculty Award (2025) DARPA Young Faculty Award (2024) NSF CAREER Award (2024) Distinguished Paper Award at POPL (2025) William A. Martin Thesis Award for Outstanding SM thesis, MIT (2015) Multiple teaching excellence awards at UIUC (2021-2023) Dr. Mendis actively mentors students through the ADAPT lab, offering research opportunities for undergraduates, master's students, and PhD candidates interested in compiler technology and machine learning systems. His research is supported by significant funding from the ACE center (part of JUMP 2.0), National Science Foundation (NSF), DARPA, IIDAI, and industry partners including Google, Intel, Amazon, and Qualcomm. He teaches advanced courses in compiler construction and machine learning for compilers. He leads the ADAPT lab at UIUC, which focuses on developing advanced compiler technologies for modern machine learning workloads. The lab maintains active collaborations with industry partners and has established itself as a leading research group in compiler optimization for AI systems. Current projects include tensor compilers, graph neural network optimization, and automated verification of deep learning systems.

Jordan Taylorمشاهده پروفایل

استاد

• Motor Control
• Neuroscience
• Computational Motor Learning
• +۲ مورد دیگر

Professor Jordan Taylor is affiliated with Princeton University as a faculty member in the Department of Biomedical Engineering within the School of Engineering and Applied Science. His research focuses on unraveling computational processes in motor control and learning, with particular emphasis on interactions between explicit cognitive strategies and implicit motor adaptation during skill acquisition. Taylor leads the Intelligent Performance and Adaptation Laboratory , aiming to develop optimal training protocols for motor rehabilitation post-stroke or disease. Research Interests : Taylor investigates how humans learn motor skills through dual mechanisms of declarative strategy formation and implicit neural adaptation. His work explores the neural systems underlying these processes and their functional consequences, especially in pathological conditions like cerebellar degeneration. Current studies examine working memory constraints, reward modulation of implicit adaptation, and plan-based generalization of motor learning. Publication Trends : Recent articles analyze dual mechanisms in sensorimotor learning, reward-driven adaptation, and contextual influences on motor memory. His computational neuroscience approach combines behavioral experiments, neural imaging, and theoretical modeling to study cognitive-motor interactions across various tasks.

• Cybersecurity
• Computer Security
• Information Security
• +۶ مورد دیگر

Matthew Allen Bishop is a Professor in the Department of Computer Science at the University of California, Davis. His primary affiliation is with the College of Engineering. Bishop's research focuses on cybersecurity, including secure programming, insider threat detection, malware analysis, and cybersecurity education. He has contributed extensively to curricular guidelines (e.g., CSEC 2017) and frameworks for cyber defense. His work spans theoretical advancements (e.g., intrusion detection models) and applied systems (e.g., secure voting platforms). Notable research areas include: Cybersecurity Education: Developing curricula and pedagogical frameworks for secure coding and ethical practices. Insider Threat Mitigation: Declarative approaches and behavioral analysis for detecting and preventing attacks. Malware Mitigation: Techniques leveraging uncertainty principles and defensive programming. Election Security: Analyzing vulnerabilities and designing secure voting systems. Bishop has collaborated with institutions like the Department of Homeland Security (DHS) and National Security Agency (NSA) on critical infrastructure protection. His publications span conferences like IEEE Security & Privacy, HICSS, and NSPW, emphasizing real-world applications of cybersecurity principles.

• Databases
• Spatial Data Management
• Geospatial Systems
• +۳ مورد دیگر

Mohamed Sarwat is an Associate Professor at Arizona State University specializing in databases , spatial data management , and recommender systems . His research focuses on GeoSpark —a cluster computing framework for spatial data—and its extensions like GeoSparkViz for visualization and GeoSparkSim for traffic simulation. Key Contributions: LARS* (Location-Aware Recommender System), Horton* (Graph Reachability), Sindbad (GeoSocial Platform), and Riso-Tree (Graph Database Indexing) Research Themes: Integration of spatial/temporal data with machine learning, efficient indexing for big geospatial datasets, and scalable frameworks for mobility data science His work spans collaborations with 23+ co-authors across institutions like University of Minnesota, University of Melbourne, and University of Salzburg. Current projects emphasize GeoTorchAI —a spatiotemporal deep learning system—and mobility data science infrastructure.

Roberto Giacobazziمشاهده پروفایل

استاد

• Theory of computation
• Programming languages
• Abstract interpretation
• +۳ مورد دیگر

Roberto Giacobazzi is a Professor at the University of Arizona specializing in theoretical computer science with a focus on abstract interpretation, program analysis, and verification. His research bridges theoretical foundations with practical applications in software security and verification systems. Dr. Giacobazzi received his Ph.D. from the University of Pisa in Italy in 1993, establishing a long-standing academic career focused on the theoretical underpinnings of program analysis. His educational background forms the foundation for his contributions to abstract interpretation theory. His primary research interests center around abstract interpretation, a theoretical framework for approximating program semantics. This work spans theory of computation , programming languages , program analysis and verification , and logic in computer science . Giacobazzi has made significant contributions to understanding completeness and precision in abstract interpretation, with applications extending to code obfuscation, security analysis, and more recently, AI fairness in legal contexts. His work demonstrates how theoretical computer science concepts can address practical software engineering challenges. An analysis of his recent publications (2022-2025) reveals a consistent research trajectory with increasing sophistication in abstract interpretation theory. His work shows a growing emphasis on completeness properties, precision limitations, and security applications. Notably, his 2024 publication on "Fairness of AI Systems in the Legal Context" indicates an expansion of his theoretical expertise into AI ethics and regulatory compliance, demonstrating the versatility of abstract interpretation frameworks. Dr. Giacobazzi has contributed extensively to major conferences in programming languages and verification, including SAS (Static Analysis Symposium), POPL (Principles of Programming Languages), and VMCAI (Verification, Model Checking, and Abstract Interpretation). His publications reflect deep theoretical insights while maintaining relevance to practical software analysis challenges. His research has significant implications for software security, particularly in code obfuscation techniques based on abstract interpretation. The systematic approach to measuring incompleteness in abstract interpretations has provided new frameworks for understanding and improving program analysis tools. His work continues to influence both academic research and practical applications in program verification and security.

JAMES RENTONمشاهده پروفایل

استاد

• Antisemitism
• Islamophobia
• Racism
• +۶ مورد دیگر

Professor James Renton is a historian specializing in antisemitism, Islamophobia, empire, and global politics at Edge Hill University. He serves as Director of the International Centre on Racism and was former President of the British and Irish Association for Jewish Studies. His research bridges academia and public engagement, notably through MONITOR Global Intelligence on Racism. Renton holds a PhD from University College London (UCL), with doctoral studies at the Hebrew University of Jerusalem. His work focuses on racism's intersection with surveillance, Middle Eastern studies, and the historical roots of contemporary conflicts like the Israel-Palestine war. Education: PhD in History, University College London (UCL) Doctoral studies at Hebrew University of Jerusalem Hanadiv Postdoctoral Fellowship at UCL Key Roles: Director, International Centre on Racism, Edge Hill University Academic Advisor, MONITOR Global Intelligence on Racism Renton’s research interests include the history of ideas shaping modern global conflicts, particularly the War on Terror. His books include The Zionist Masquerade (2007), Antisemitism and Islamophobia in Europe (2017), and Islamophobia and Surveillance (2019). He explores how European conceptions of the Middle East from the 16th century onward have influenced contemporary racism and surveillance systems. His recent articles analyze the liberal democratic state’s complicity in antisemitism and Holocaust memory, while earlier works address the Balfour Declaration’s racial dimensions and colonial legacies. Renton has contributed to media outlets like Ha’aretz , BBC Radio 4 , and Al Jazeera , emphasizing public scholarship. Awards: Fellow of the Royal Historical Society Grants: Arts and Humanities Research Council Early Career Fellowship, Jean Monnet Fellowship (European University Institute) Renton oversees the Racism Research Group and has organized conferences on topics like race in Jewish worlds and witch hunts linked to racial persecution. His current monograph project examines the European idea of the Middle East, funded by prestigious fellowships.

Kara Morgan-Shortمشاهده پروفایل

استاد

• Second Language Acquisition
• Neurolinguistics
• Psycholinguistics
• +۴ مورد دیگر

Professor Kara Morgan-Short holds a joint appointment at the University of Illinois at Chicago in the Department of Hispanic and Italian Studies and the Department of Psychology. She directs the Cognition of Second Language Acquisition Laboratory and is affiliated with the Laboratory of Integrative Neuroscience. Her research focuses on the cognitive and neural mechanisms underlying second language acquisition, integrating linguistics, cognitive psychology, and neuroscience. She has held editorial roles for Language Learning and contributed to advancing open science practices in applied linguistics. Education: PhD in Spanish Linguistics (Georgetown University, 2007), MATL in Spanish (University of Southern Mississippi, 1998), BA in Humanities (UT Austin, 1991). Research interests include the role of declarative/procedural memory, attention, and context in SLA. She employs behavioral and electrophysiological methods (e.g., ERP) to study linguistic and cognitive processes. Key grants include NSF funding for doctoral research (2018–2022) and Language Learning grants (2014–2016). Awards include the 2018 Excellence in Teaching Award and the 2009 Harold N. Glassman Dissertation Award. Her work emphasizes interdisciplinary approaches to understanding bilingualism and SLA at both behavioral and neurocognitive levels.

Jaakko Timo Henrik Järviمشاهده پروفایل

استاد

• Generic Programming
• Programming Language Design
• Graphical User Interfaces (GUI)
• +۷ مورد دیگر

Jaakko Timo Henrik Järvi is a Professor in the Department of Informatics at the University of Bergen, Norway, with additional affiliations at the University of Turku, Finland. His research focuses on programming language design, generic programming, and human-computer interaction, particularly in GUI frameworks and software reuse. His research interests include generic programming, programming language design (especially the Magnolia language), high-performance computing, array programming, and GUI engineering. He emphasizes formal methods and algebraic specifications to build reusable and efficient software systems. His work bridges theoretical foundations with practical applications in software development and education. The recent publications highlight a strong trend in declarative GUI frameworks, multi-selection models, and generic programming. His work explores domain-specific languages for GUI structure manipulation, reusable selection semantics across platforms, and optimizing array computations using the Mathematics of Arrays. These efforts reflect a consistent focus on software abstraction, correctness, and reusability. Jaakko Järvi has supervised doctoral students, including Tetiana Yarygina, whose dissertation explored microservice security. While no specific grants are detailed, his work on VisAST was supported by the Research Council of Norway (Project 250683), indicating active external funding. He frequently collaborates with researchers like Magne Haveraaen, Knut Anders Stokke, and Sean Parent. He contributes to tools and frameworks such as the MultiselectJS library and the VisAST educational tool. These are outcomes of collaborative research teams focused on improving software development practices and computer science education.

Wolfgang Schmaleمشاهده پروفایل

استاد

• Digital Humanities
• Eighteenth Century and Enlightenment
• Modern and Contemporary History of Human Rights
• +۳ مورد دیگر

Wolfgang Schmale is a Full Professor of Modern and Contemporary History at the University of Vienna, Austria. He has held academic leadership roles such as Vice-Dean for Education (2012–2016) and Director of Study Programs in History (2010–2012) within the Faculty for Historical and Cultural Studies. His career includes professorships at Ludwig-Maximilians-University Munich, University of Graz, and Technical University Braunschweig. He has been honored with a doctor honoris causa from Sofia University (2021), the Insignia of Honour Blue Ribbon (2018), and membership in the European Academy of Sciences and Arts (2016). Schmale has also served as Secretary-General of the International Society for Eighteenth-Century Studies (ISECS) since 2015. His research focuses on digital humanities, eighteenth-century studies, European integration history, gender history, and human rights. His scholarly contributions include seminal works such as Geschichte Europas (2000), Gender and Eurocentrism (2016), and For a Democratic 'United States of Europe' (2019). These publications analyze transnational networks, historical memory, and the evolution of European identity. Schmale’s work bridges academic rigor with public engagement through travel narratives and digital humanities projects like 'pastperfect.at.' He has held visiting professorships at institutions including the Hebrew University of Jerusalem (2006–2016) and the Université Paris I Panthéon-Sorbonne (2007). His awards reflect both academic excellence and contributions to European scholarly networks. Schmale’s interdisciplinary approach integrates gender studies, cultural history, and digital methodologies to reframe European historical narratives.

Sheryl Lightfootمشاهده پروفایل

دانشیار

• Global Indigenous Peoples' Politics
• Indigenous Political Theory
• Indigenous Diplomacy
• +۱۲ مورد دیگر

Sheryl Lightfoot is an Associate Professor in the Department of Political Science and the First Nations and Indigenous Studies Program at the University of British Columbia, Faculty of Arts. She holds the Canada Research Chair in Global Indigenous Rights and Politics and serves as Senior Advisor to the President on Indigenous Affairs at UBC’s First Nations House of Learning. Her academic affiliations reflect her interdisciplinary focus on Indigenous governance, rights, and political theory. Her research interests center on global Indigenous peoples’ politics , Indigenous political theory , Indigenous diplomacy , Indigenous social movements , and critical international relations theory . She examines how Indigenous rights implementation reshapes state-Indigenous relationships and reconceptualizes sovereignty, self-determination, and human rights globally. Her recent publications, spanning from 2023 to 2025, reveal a consistent focus on Indigenous sovereignty, borders, UN engagement, and the implementation of the UN Declaration on the Rights of Indigenous Peoples (UNDRIP). Themes include transnational Indigenous activism, environmental justice, gender justice, and the paradoxes of state recognition. Her work often employs comparative and critical theoretical frameworks, analyzing cases from Canada, the U.S., Ecuador, Russia, and South Asia. Scientific recognition includes: Best Dissertation Award, American Political Science Association (2010) Sheryl leads and participates in major research initiatives, including SSHRC-funded projects on Indigenous apologies and self-determination, a UBC Catalyzing Research Cluster on Global Challenges to Democracy, and collaborations on environmental injustices and transformative memory. She is building a university-based research network to advance Indigenous rights advocacy. While specific labs or teams are not named, her collaborative projects with scholars like David MacDonald and her leadership in research clusters indicate active team-based scholarship. She advises on policy, as evidenced by her 2021 submission to the Standing Committee on Indigenous and Northern Affairs regarding Bill C-15.

Maria Argyriouمشاهده پروفایل

مدرس

• Music Education
• Cultural Policy
• Early Childhood Education
• +۴ مورد دیگر

Maria Argyriou is an Associate Lecturer for Applied Music Preschool Education in the Department of Preschool Education & Educational Design at the School of Humanities, University of the Aegean (Rhodes, Greece). She holds a postdoctoral degree in Practical Aspects and Praxial Philosophy of Music Education from the same institution, a PhD in Music Studies from Ionian University specializing in cultural policy and music education, and two Master's degrees in Education from The Open University of Greece. PhD: Department of Music Studies, Ionian University (specializing in cultural policy and music education) Postdoctoral Degree: Practical Aspects and Praxial Philosophy of Music Education, University of the Aegean Master of Education: The Open University of Greece Second Master in Education: Specialization in education leadership and school unit assessment Argyriou's research focuses on the intersection of music education, cultural policy, and early childhood development. Her work explores praxial philosophy in music education, interdisciplinary connections between music and other subjects (particularly language and mathematics), and innovative approaches to music teaching in preschool settings. She has developed significant contributions to understanding how music can serve as a tool for cognitive development, emotional expression, and cultural citizenship in young children. Her recent publications demonstrate a clear trend toward multimodal and technology-enhanced music education approaches, with increasing focus on praxial philosophy applications in digital learning environments. Her work consistently bridges theoretical frameworks with practical classroom applications, particularly in early childhood settings. Scientific Awards: Kiveli-Y. Horn scholarships/Special Grants 2024 for archival research at The Music Library of Greece—Lilian Voudouri Argyriou actively participates in multiple professional organizations including the International Society of Music Education (member of SIG Practice and Research Group in Integrated Music Education, PRIME), European Music Council (EMC), European Association for Music in School (EAS), and serves as chairperson of the Greek Association of Primary Music Education Teachers (GAPMET). She has made significant contributions to educational materials as author of official Greek Music Education textbooks for School-Age 6-8 and as editor for multiple academic journals. She co-edits the open-access 'Hellenic Journal of Music, Education, and Culture' (HeJMEC) and serves as editor for the open-access journal 'Music in the First Grade' published by her department. Her current research focuses on archival work with children's songs from the Minos Dounias collection at The Music Library of Greece.

Tony Cunninghamمشاهده پروفایل

استادیار

• Sleep and Cognition
• Emotion Regulation
• Memory Consolidation
• +۴ مورد دیگر

Tony Cunningham serves as Director of the Center for Sleep and Cognition at Beth Israel Deaconess Medical Center and Harvard Medical School, holding faculty appointments in the Department of Psychiatry and Division of Sleep Medicine. His research integrates cognitive neuroscience with clinical psychology to investigate sleep's role in emotional memory processing across healthy and clinical populations. His educational background includes: BA in Psychology/Pre-Professional Studies, University of Notre Dame MA in Clinical Psychology, University of Notre Dame PhD in Clinical Psychology, University of Notre Dame Clinical Psychology Internship, VA Eastern Kansas Healthcare System Postdoctoral Fellowships at Boston College, Beth Israel Deaconess Medical Center, and Harvard Medical School Cunningham's research examines how sleep and sleep loss impact emotion regulation and memory consolidation, with particular focus on insomnia disorder and schizophrenia. His work bridges laboratory findings to clinical applications through studies on therapeutic interventions like transcranial direct current stimulation during sleep. Recent investigations explore real-world stressors including presidential elections and pandemics, revealing how collective traumas disrupt sleep-wake patterns and emotional processing. His publication trends show increasing emphasis on translational research, with recent work connecting sleep physiology to clinical outcomes in psychiatric disorders. Key themes include neural mechanisms of emotional memory consolidation, individual differences in sleep-related cognitive vulnerability, and population-level responses to societal stressors. Scientific recognition includes: Young Investigators Research Forum Scholarship (2020) Multiple Abstract Meritorious Awards from Sleep Research Society (2014, 2014, 2019) Dissertation Grant Award from Society for a Science of Clinical Psychology (2016) Graduate Research Challenge Award from University of Notre Dame (2014) As Principal Investigator, he directs two major funded projects: an NIMH K23 grant examining neural impacts of insomnia on emotion regulation (2022-2027), and a Sleep Research Society Foundation award investigating transcranial stimulation for schizophrenia. His active clinical trials (NCT05393830, NCT03767426) recruit participants in Boston to study sleep deprivation effects on emotional memory. He leads the Center for Sleep and Cognition research team at BIDMC/HMS, collaborating with Boston College's Psychology Department and the Department of Veterans Affairs on projects spanning basic sleep mechanisms to clinical interventions.