جست‌وجوی استاد و پژوهشگر

Nicole Reynoldsمشاهده پروفایل

دانشیار

• British Romantic literature and culture
• History of the book
• World War I and print culture
• +۳ مورد دیگر

Nicole Reynolds is an Associate Professor at Ohio University , holding a joint appointment in the Department of English and the Women's, Gender, and Sexuality Studies program within the College of Arts and Sciences. Her work bridges British Romantic literature and architectural history, with a focus on gender studies, print culture, and transnational influences. Education Ph.D. in English, University of Georgia (2001) Graduate Certificate in Women's Studies, University of Georgia (1997) M.A. in English, University of Connecticut (1995) B.A. in English, Boston University (1989, Cum Laude) Reynolds’ research spans British Romanticism , World War I print culture , and gender/sexuality studies . Her monograph Building Romanticism redefined intersections between literature and architecture, while her edited Literature Compass issue on Romanticism and suicide advanced interdisciplinary discourse. Her recent publications analyze Anglo-Indian literature , encyclopedia entries on Romantic-era figures, and pedagogical strategies for global education. Trends reveal sustained interest in marginalized voices, architectural symbolism, and trauma studies. Scientific Awards National Endowment for the Humanities Fellowships Harry Ransom Center Fellowship Distinguished Mentor Awards (2017, 2007) Sigma Superlative Award for Best Professor (2010) Andrew W. Mellon Foundation Fellowship Reynolds actively mentors students and leads initiatives in book history and Digital Humanities . She organized Ohio University’s Faculty Learning Community on book history pedagogy and co-led a NEH Summer Institute on the Indian Ocean globalization.

Andrew M. Drozdمشاهده پروفایل

دانشیار

• 19th-century Russian literature
• Chernyshevskii
• Old Russian literature
• +۵ مورد دیگر

Andrew M. Drozd is an Associate Professor of Russian at the Department of Modern Languages and Classics, University of Alabama. He serves as the Russian Program Director and Russian Minor Advisor, specializing in 19th-century Russian literature, Czech-Russian literary interrelations, and Slavic folklore. PhD, Indiana University (1995) Teaches courses: First-Year/Second-Year Russian, Russian Phonetics, Business Russian, Russian Folklore, Dostoevsky, Tolstoy, and Russian Science Fiction His research examines the intersections of Russian and Czech literary traditions during political upheavals, with a focus on Chernyshevskii’s works and their ideological impacts. Recent publications include Modern Czech Literature: Writing in Times of Political Trauma (2025) and co-edited volumes on Russian radicalism and Darwin’s reception in Russia. The 15 most recent articles reveal a trajectory from 19th-century Russian critiques of Darwinism to contemporary Czech literary analysis, spanning dialectology, intertextuality, and ideological narrative structures. Dr. Drozd’s editorial work includes Revisiting Russian Radicals (2024) and Reading Darwin in Imperial Russia (2023), alongside contributions to journals like Slavic and East European Journal and Germano-Slavica .

Montek Singhمشاهده پروفایل

دانشیار

• High-performance digital systems
• Low-power digital systems
• Asynchronous circuits
• +۵ مورد دیگر

Montek Singh serves as an Associate Professor and Associate Chair for Academic Affairs in the Department of Computer Science at the University of North Carolina at Chapel Hill. His research focuses on high-performance and energy-efficient digital systems with particular emphasis on asynchronous and mixed-timing circuit design. Dr. Singh received his Ph.D. in Computer Science from Columbia University in 2002 and his B.Tech. in Electrical Engineering from IIT Delhi, India, in 1993. His primary research interests span high-performance and low-power digital systems, with specialization in asynchronous or clockless and mixed-timing integrated chip design. His work encompasses circuit design methodologies, CAD tools for automated synthesis, analysis and optimization techniques. He has also explored applications in energy-efficient mobile graphics hardware, secure chip design for computer security, and design challenges in emerging computing technologies. His research has practical applications in industry, with work transferred to companies including IBM, Boeing, and Handshake Solutions. Analysis of Dr. Singh's publications reveals a strong focus on asynchronous circuit design spanning two decades. His work covers fundamental pipeline architectures (MOUSETRAP), high-speed asynchronous systems, latency-insensitive design methodologies, and practical applications in graphics hardware and mobile devices. The research demonstrates consistent innovation in making asynchronous design more practical for real-world implementation while addressing performance, power efficiency, and testing challenges. His notable scientific achievements include: Best Paper Award at the 6th IEEE Intl. Symp. on Adv. Res. in Async. Circ. and Syst. (ASYNC-2000) Best Paper Finalist at the 8th IEEE Intl. Symp. on Async. Circ. and Syst. (ASYNC-02) Dr. Singh has secured significant research funding including participation in the DARPA CLASS Program (led by Boeing) in 2005, where he collaborated with Philips/Handshake Solutions to develop an industrial-strength automated synthesis flow for high-speed asynchronous systems. His research has strong industry connections and practical applications, with technology transferred to major companies including IBM and Boeing. He has also organized major academic events such as the International Symposium on Asynchronous Circuits and Systems 2009 (ASYNC 2009) at UNC Chapel Hill. Dr. Singh leads research in asynchronous systems design with connections to industry partners and practical applications. His work has been featured in prominent media outlets including The New York Times, International Herald Tribune, and Technology Review Magazine, highlighting the significance of clockless design approaches as traditional synchronous design approaches face limitations.

Dharanidhar Dangمشاهده پروفایل

استادیار

• Photonic Computing
• AI Hardware Acceleration
• Memristor-based Computing
• +۳ مورد دیگر

Dharanidhar Dang serves as Assistant Professor in the Department of Computer Engineering at the College of AI, Cyber and Computing, The University of Texas at San Antonio (UTSA), where he advances hardware-centric artificial intelligence solutions through photonic and memristor technologies. Education Ph.D., Texas A&M University His research program bridges hardware innovation and biomedical applications, with primary focus on photonic computing architectures for real-time AI acceleration and memristor-based neuromorphic systems. He investigates critical challenges in hardware reliability (particularly degradation in memristor crossbars), energy efficiency in photonic accelerators, and co-design methodologies that optimize both algorithms and physical implementations. His biomedical work applies machine learning to macrophage biology, identifying predictive signatures for inflammatory diseases through computational immunology approaches. Analysis of his 2020-2025 publications reveals three dominant research trajectories: 1) Silicon photonic accelerators (P-ReTI, P-ReTiNA, SOFTONIC) targeting real-time and energy-efficient AI, 2) Memristor reliability frameworks addressing aging effects in deep learning hardware, and 3) Translational biomedical applications where machine learning deciphers macrophage behavior in inflammatory bowel disease and preterm infant lung conditions. This tripartite focus demonstrates exceptional versatility across hardware engineering and life sciences.

Bethany A. Buckمشاهده پروفایل

دانشیار

• Structural Biology
• Biophysics
• Cancer Epigenetics
• +۳ مورد دیگر

Bethany A. Buck serves as Associate Professor of Chemistry and Adjunct Associate Professor of Biochemistry at the University of Utah, with additional affiliation as Associate Member of the Huntsman Cancer Institute (HCI) Cancer Center. Her research bridges structural biology, biophysics, and cancer epigenetics to investigate molecular mechanisms of gene regulation. Education: B.S., University of Wisconsin, Stevens Point Ph.D., University of Minnesota, Twin Cities Research Expertise: Dr. Buck's laboratory employs a multidisciplinary approach integrating structural biology, biophysics, biochemistry, and cellular biology to study protein-DNA interactions, with primary focus on methyl-CpG binding proteins (MBPs) that interpret DNA methylation signals. Her work elucidates how MBPs recognize methylated DNA sequences to trigger chromatin remodeling and transcriptional silencing in cancer development, utilizing parallel in vitro structural/biophysical and cellular genomic methodologies to investigate MBP:DNA complexes and protein interaction networks. Publication Trends: Analysis of her 2013-2024 publications reveals consistent focus on structural characterization of epigenetic regulators, evolving from foundational studies of zinc finger readers (2013-2018) toward integrated DNA damage response mechanisms (2021-2024). Recent work expands into G-quadruplex dynamics and peptide macrocyclization techniques while maintaining core emphasis on cancer epigenetics, demonstrating methodological diversification within nucleic acid biochemistry. Scientific Awards: No awards are documented in the provided materials. Academic Leadership: Dr. Buck mentors graduate students in the Biological Chemistry and Molecular Biology Ph.D. programs, directing laboratory research that combines X-ray crystallography, biophysical assays, and genomic approaches. Her work receives institutional support through HCI Cancer Center resources and departmental infrastructure. Research Infrastructure: The Buck laboratory operates within the University of Utah's bioscience ecosystem, leveraging core facilities for structural biology and genomics to advance understanding of epigenetic dysregulation in cancer, with current projects targeting therapeutic intervention points in MBP regulatory networks.

Andrea Grahamمشاهده پروفایل

استاد

• Evolutionary ecology
• Immunology
• Parasitology
• +۴ مورد دیگر

Andrea Graham is a Professor in the Department of Ecology and Evolutionary Biology at Princeton University and an HMEI Associated Faculty member. Her research integrates immunology, ecology, parasitology, and evolutionary biology to explore immune heterogeneity, host-parasite dynamics, and disease transmission. Her work emphasizes evolutionary immunology , focusing on how immune system behavior emerges from cellular interactions, particularly cytokines and antibodies. She investigates how natural selection shapes immune strategies, parasite virulence, and the ecological impacts of immune responses. The 15 most recent articles highlight her interdisciplinary approach, with themes spanning host defense mechanisms , parasite transmission , rewilded mouse models , and serological data analysis . These publications address critical questions in public health , zoonotic diseases , and immune system modeling . Andrea was honored with the Phi Beta Kappa Award for Excellence in Undergraduate Teaching in 2025, reflecting her dedication to mentoring. Her lab includes a dynamic team of undergraduate researchers, graduate students, and technical staff, contributing to studies on topics like malaria-helminth co-infections and environmental microbiota effects . The Graham Group collaborates extensively through networks like the EEB Disease Group , Princeton Global Health Program , and the Infectious Disease Evolution Across Scales RCN . They hosted the 2019 Ecology & Evolution of Infectious Diseases (EEID) conference , despite unexpected challenges like a norovirus outbreak.

Matthew Hertzمشاهده پروفایل

استاد آموزشی

• Computer science education
• runtime systems
• dynamic memory management

Matthew Hertz is a Teaching Professor in the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His research focuses on computer science education, runtime systems, and dynamic memory management. Education: PhD, Computer Science, University of Massachusetts Amherst, 2006 MS, Computer Science, University of Massachusetts Amherst, 2001 BA, Computer Science, Carleton College, 1997 Research interests span computer science education and systems optimization. His educational research investigates learning factors in introductory programming courses, develops pedagogical tools like CloudCoder for programming exercises, and analyzes failure rates in CS1 courses. In systems research, he focuses on memory management innovations including garbage collection algorithms, adaptive resource allocation, and performance optimization in shared environments. Publications show dual focus: recent work emphasizes educational data analysis and programming pedagogy while earlier research concentrates on memory management efficiency and runtime systems. Trends include automated assessment tools and adaptive algorithms for resource-constrained environments. No scientific awards reported. No advising or grant information available. No labs or teams mentioned in available data.

Peter Buiمشاهده پروفایل

استاد آموزشی

• Systems Programming
• Operating Systems
• Parallel Computing
• +۶ مورد دیگر

Peter Bui is a Teaching Professor in the Computer Science and Engineering department at the University of Notre Dame , located within the College of Engineering. He teaches courses such as Data Structures, Systems Programming, and Ethical and Professional Issues, while also managing the core Elements of Computing programming sequence for the Computing & Digital Technologies minor. Education: Ph.D. in Computer Science and Engineering from University of Notre Dame (2012) His research interests span systems programming, operating systems, parallel computing, cloud computing, distributed computing, programming languages, compilers, and web services . He actively integrates these domains into his teaching and extracurricular work with the Linux Users Group. Recent publications highlight his work in distributed computing frameworks , including the development of tools like WorkQueue and Madeup for scalable scientific workflows and 3D printing integration. Projects such as ROARS and Weaver demonstrate his focus on robust data management and workflow automation. Outside academia, he stewards the Linux Users Group , engages with open-source communities, and balances personal interests like gaming in RuneScape with family time.

• German Cultural Studies
• Yiddish Theater in Romania
• Secret Police Files as Life Writing
• +۴ مورد دیگر

Corina L. Petrescu is a Professor of German in the Department of Modern Languages at the University of Mississippi, where she has taught since 2008. A specialist in German cultural studies from the 18th century to the present, she directs the German Program and is accredited by the National Council for the Study of the Securitate Archives (CNSAS) in Romania. B.A. in German and American Studies, University of Bucharest (1999) M.A. in German Studies with Cultural Studies Certificate, University of Pittsburgh (2000) Ph.D. in German Studies, University of Wisconsin-Madison (2006) Her research bridges German cultural studies , Yiddish theater in Romania , and secret police files as life writing . She analyzes surveillance archives from Eastern Bloc regimes, examining tensions between official records and personal narratives in works on the Romanian Securitate, East German Stasi, and Hungarian State Security Agency. Recent publications focus on Yiddish performance under authoritarian regimes and dialogic remembrance of persecution . She explores how Cold War spy narratives and post-communist archival research reveal intersections of fact/fiction and memory/politics. Fulbright Global Scholar (2023) Alexander von Humboldt Fellowship (2016) Senior Core Fellowship, Central European University (2015) Multiple DAAD and Summer Research Grants Co-editor of Cold War Spy Stories from Eastern Europe and Secret Police Files from the Eastern Bloc , she teaches courses spanning German language, literature, cinema, and European studies.

Charles E. Leisersonمشاهده پروفایل

استاد

• Parallel Computing
• Performance Engineering
• Algorithms
• +۶ مورد دیگر

Charles E. Leiserson is a Professor of Computer Science and Engineering at MIT, holding the Edwin Sibley Webster Professorship in Electrical Engineering and Computer Science. He leads the Supertech Research Group and is Faculty Director of the MIT-Air Force AI Accelerator. His work focuses on parallel computing, performance engineering, and algorithms. Leiserson is renowned for co-authoring the foundational textbook Introduction to Algorithms , widely used in computer science education globally. He has pioneered technologies like the Cilk multithreaded programming language and contributed to supercomputing architectures such as the Connection Machine CM-5. His research bridges theoretical computer science with practical applications, emphasizing cache-oblivious algorithms and compiler optimizations. Leiserson has received multiple awards for his academic contributions and educational impact, including the ACM-IEEE Ken Kennedy Award and Margaret MacVicar Fellow distinction at MIT. Education: B.S., Yale University, 1975 Ph.D., Carnegie Mellon University, 1981 Research Interests: Leiserson’s work addresses performance engineering challenges in post-Moore’s Law computing. His group develops algorithms, software systems, and hardware strategies for scalable parallelism. Key areas include parallel programming frameworks (e.g., OpenCilk), cache-aware algorithms, and compiler optimizations. He emphasizes making parallel computing accessible to mainstream programmers through tools like Cilk and educational initiatives such as MIT’s Software Performance Engineering course. Projects & Leadership: Leiserson leads the Supertech Research Group and contributed to the Cilk Arts Inc. venture, acquired by Intel. He chairs the MIT Undergraduate Practice Opportunities Program (UPOP) and teaches courses on algorithms and discrete mathematics. His leadership workshops for faculty have educated hundreds worldwide on team management in academia. Awards & Recognition: 2014 ACM-IEEE Ken Kennedy Award IEEE Taylor L. Booth Education Award ACM Paris Kanellakis Theory and Practice Award Member of the National Academy of Engineering Labs & Teams: Active in MIT’s CSAIL, Leiserson collaborates through the Supertech Group and Theory of Computation communities. His current projects include Tapir compiler infrastructure, graph neural network applications for anti-money laundering, and deterministic parallel scheduling algorithms.

Michel Sannerمشاهده پروفایل

استاد

• Molecular Interactions
• Molecular Graphics
• Component-Based Software
• +۳ مورد دیگر

MICHEL SANNER is a Professor of Molecular Biology at the Department of Integrative Structural and Computational Biology at Scripps Research. He holds a PhD in Computer Science from the University of Haute Alsace, France (1992). His research focuses on computational methods for molecular interactions, molecular graphics, and component-based software development. Notable contributions include the AutoDock suite (for molecular docking), PMV (a molecular visualization environment), and Vision (a visual programming tool). His research group develops tools like AutoDock CrankPep for peptide docking and F2Dock for protein-protein interactions. These tools are widely used in drug discovery and structural biology. His work emphasizes software engineering principles to create adaptable computational pipelines for analyzing macromolecular structures and simulating interactions. Publications span topics like peptide-docking methodologies, ligand-binding site prediction, and GPU-accelerated docking algorithms. His articles highlight advancements in computational methods for understanding protein-ligand interactions, with applications in anticoagulant research and HIV/FIV protease inhibition. Collaborations include work with Arthur J. Olson and David S. Goodsell on docking methodologies.

Roberto Bertolussoمشاهده پروفایل

مدرس ارشد

• Systems Biology
• Cancer Research
• Computational Biology
• +۳ مورد دیگر

Roberto Bertolusso is a Senior Pfeiffer Lecturer in the Department of Statistics at Rice University. He has held this position since 2013, focusing on teaching probability, statistics, and data science courses. His research integrates computational and systems biology approaches to study cancer mechanisms. Bertolusso earned his Ph.D. and M.S. in Statistics from Rice University and holds a graduate degree in Industrial Engineering from Universidad de Buenos Aires. His academic background includes significant contributions to cancer biostatistics and systems biology, highlighted by his participation in the AACR Methods in Cancer Biostatistics Workshop (2015) and a CPRIT-funded training program (2013–14). His publications span epidemiological modeling, orthopedic outcomes, and computational cancer research, reflecting interdisciplinary expertise. Education: Ph.D. & M.A. in Statistics, Rice University Graduate Level in Industrial Engineering, Universidad de Buenos Aires Teaching Focus: Probability theory, regression analysis, SAS programming, and data science methodologies. Research interests emphasize systems biology applications in cancer, stochastic modeling of biological systems, and computational methods for medical data analysis. His work bridges statistical theory with clinical and biomedical challenges, as seen in studies on viral infection dynamics and tumor growth modeling. Recent publications reflect both his cancer research and collaborative work in orthopedic surgery outcomes, showcasing a commitment to interdisciplinary problem-solving. Awards include recognition for methodological contributions to cancer clinical trial design and biostatistical training initiatives.

Katya Drozdovaمشاهده پروفایل

استاد

• Cyberpower
• International Relations
• Cybersecurity
• +۱۰ مورد دیگر

Katya Drozdova is a Professor at Seattle Pacific University’s School of Business, Government, and Economics , with a joint appointment in Business, Information Systems, and Political Science. She holds a PhD and MPhil in Information Systems from NYU Stern School of Business and MA/BA in International Relations from Stanford University. Expertise in cyberpower, geopolitical strategy, counterterrorism, and asymmetric threat analysis Principal Investigator for the Mining Afghan Lessons from Soviet Era (MALSE) program funded by the U.S. Department of Defense Visiting Fellow at Stanford’s Hoover Institution and affiliate with the Empirical Studies of Conflict Project (ESOC) Her research combines information theory with security studies , focusing on: Strategic decision-making under uncertainty Human and technological network optimization in hostile environments U.S.-Russia relations and their geopolitical implications Early-warning systems for terrorist network detection Cybersecurity policy balancing civil liberties Recent publications analyze cyberpower (SAGE, 2017), asymmetric warfare (Journal of Cold War Studies, 2019), and geo-religious literacy in Russia (Routledge Handbook, 2022). Her work has been cited in Computational and Mathematical Organization Theory and Hoover Digest . Key affiliations include: NYU’s Alexander Hamilton Center for Political Economy Stanford’s Center for International Security and Cooperation (CISAC) Consortium for Research on Information Security and Policy (CRISP) funded by NSA Community engagements: Hosted Qatar’s Prime Minister Sheikh Abdullah Al-Thani (2016) Public dialogue with General Keith Alexander (2015) Interview with Secretary Madeleine Albright (2014)

Leslie G. Bieseckerمشاهده پروفایل

استاد

• Precision Genomics
• Rare Genetic Disorders
• Overgrowth Syndromes
• +۳ مورد دیگر

Dr. Leslie G. Biesecker serves as Director & NIH Distinguished Investigator leading the Center for Precision Health Research at the National Human Genome Research Institute (NHGRI), part of the National Institutes of Health. His work bridges clinical practice and genomic research with focus on elucidating genetic mechanisms of rare developmental disorders. Educational background includes: B.S. from University of California, Riverside M.D. from University of Illinois College of Medicine Pediatrics training at University of Wisconsin Clinical and molecular genetics training at University of Michigan His research program centers on precision genomics with dual foci: (1) rare disorders of development and overgrowth including Proteus syndrome, PIK3CA-related overgrowth, and Pallister-Hall syndrome; and (2) hypothesis-generating clinical genomics through the ClinSeq ® program. The laboratory employs integrated clinical-molecular approaches, massively parallel sequencing, and animal models to investigate genotype-phenotype correlations while developing therapeutic strategies targeting the AKT/PIK3CA pathway. Recent work expands into pharmacogenetics and cancer susceptibility gene evaluation. Key publication trends reveal consistent leadership in rare disease gene discovery (2000-2012), methodological innovation in genomic analysis (2009-2013), and translational implementation of genomic medicine (2013-2016). Research spans molecular genetics, clinical diagnostics, and therapeutic development with strong emphasis on somatic mosaicism and pathway-targeted treatments. Major recognitions include: Election to National Academy of Medicine Presidency of American Society of Human Genetics (2019) NIH Distinguished Investigator appointment Dr. Biesecker co-directs a CLIA-certified molecular diagnostic laboratory and serves on editorial boards for four biomedical journals. His advisory roles include Illumina Corporation consultation and World Trade Center victim identification efforts. The Precision Genomics Section maintains active recruitment for clinical protocols studying rare disorders through the NIH Clinical Center, with recent expansion into therapeutic interventions for overgrowth disorders. Current lab structure includes staff scientists (Jennifer Johnston), genetic counselors (Julie Sapp), research scientists (Marjorie Lindhurst), and postdoctoral fellows working on genomic analysis and clinical protocols.

Douglas Nollمشاهده پروفایل

استاد

• Biomedical Engineering
• Radiology
• Magnetic Resonance Imaging
• +۹ مورد دیگر

Douglas Noll is the Ann and Robert H. Lurie Professor in the Department of Biomedical Engineering at the University of Michigan , with additional appointments as Professor of Radiology and affiliate of multiple research institutes including the Michigan Alzheimer’s Disease Research Center, Michigan Neuroscience Institute, and Michigan Institute for Imaging Technology and Translation (MIITT). He co-directs the Functional MRI Laboratory and leads the NeuroImaging Core at the Michigan Alzheimer’s Disease Research Center. Prof. Noll’s research focuses on MRI technology development , particularly for functional MRI (fMRI) . His group specializes in high-speed MRI acquisition , signal processing , and image reconstruction to map brain function. Key areas include artifact elimination , physiological modeling , and quantitative imaging for neurological and psychiatric disorders. Recent collaborations apply MRI to histotripsy therapy monitoring. The 15 most recent articles reflect his work in dynamic MRI reconstruction , artifact correction , and cross-vendor protocol standardization . Topics span B0 shimming , histotripsy targeting , and non-Cartesian sampling , emphasizing spatiotemporal modeling and machine learning integration for accelerated imaging. Scientific Awards : Ann and Robert H. Lurie Professor. Research Collaborations : Functional MRI Laboratory, Michigan Alzheimer’s Disease Research Center, Michigan Institute for Imaging Technology and Translation (MIITT).