جستجوی استاد راهنمای دانشگاهی

Gregory J. Hannonمشاهده پروفایل

استاد

• Small RNA Biology
• RNA Interference
• Cancer Biology
• +۷ مورد دیگر

Gregory J. Hannon is a distinguished Professor at Cold Spring Harbor Laboratory (CSHL) and an Investigator of the Howard Hughes Medical Institute, renowned as one of the world's foremost authorities on small RNA biology and RNA interference. His research has significantly advanced our understanding of gene regulation mechanisms with profound implications for cancer treatment and genome stability. Hannon's educational background includes training that led to his current position as a leading molecular biologist. His research focuses on the biological roles of small RNAs and the mechanisms by which they operate, with particular emphasis on germ cells (which have the most elaborate set of small RNA pathways) and cancer biology (especially breast and pancreatic cancer). His laboratory's groundbreaking work has identified and characterized major biogenesis and effector complexes for small interfering RNAs and microRNAs, including Dicer, RISC, and elements of the Microprocessor. More recently, his team has made significant discoveries regarding piwi-interacting RNAs (piRNAs) and their role in defending the genome from mobile genetic elements. Among his most significant publications are studies on the structure of human Argonaute protein, mechanisms of transposon defense in germ cells, and how breast tissue 'remembers' a first pregnancy through epigenetic changes. His research has consistently appeared in top-tier journals, with several publications recognized by Science as 'Breakthrough of the Year.' Elected to National Academy of Sciences (2012) NIH MERIT Award from National Institute of General Medical Sciences (2013) National Academy of Sciences Award in Molecular Biology (2007) Geoffrey Marshall Mentoring Award from Northeastern Association of Graduate Schools (2011) Howard Hughes Medical Institute Investigator Hannon has mentored 12 postdoctoral fellows and 17 graduate students, with exceptional outcomes including multiple prestigious awards for his trainees. Over 60% of his 200+ publications include graduate student co-authorship. His laboratory has developed innovative technologies including RNAi libraries targeting entire genomes and methods used in Neanderthal genome sequencing. He also serves as director of the Cancer Research UK Cambridge Institute, demonstrating his international leadership in cancer research.

Yuan Yaoمشاهده پروفایل

استادیار

• Computer Architecture
• Parallel Computing
• Power and Thermal Management
• +۷ مورد دیگر

Yuan Yao serves as an Assistant Professor in the Department of Information Technology at Uppsala University, Sweden. His academic role spans teaching and research within the Computer Systems division, focusing on cutting-edge computer architecture and parallel computing systems. He maintains active collaborations across international institutions, particularly in energy-efficient hardware design and emerging computing paradigms. His educational journey includes: B.S. in Micro-electronics from Northwestern Polytechnical University, China (2009) M.S. in System-on-Chip Design from KTH Royal Institute of Technology, Sweden (2014) Ph.D. in Electrical Engineering and Computer Science from KTH Royal Institute of Technology (2019) Yao's research centers on power and thermal management for chip multi-processors, Network-on-Chips (NoCs), and GPUs. He pioneers hardware/software co-design for high-performance computing, coherency mechanisms for emerging memory technologies, and performance analysis of on-chip networks. Recent work expands into neural network acceleration and battery-less Internet of Things architectures, reflecting a trajectory toward energy-constrained specialized systems. His methodology integrates formal modeling with practical implementation for real-world impact. Publication trends reveal consistent innovation in energy efficiency across parallel architectures. From foundational DVFS techniques for NoCs (2016-2018) to recent breakthroughs in battery-less IoT (2023-2024), his work demonstrates evolutionary progression toward novel computing domains. Key thematic threads include thermal-aware optimization, memory consistency protocols, and hardware acceleration for AI workloads, with applications spanning data centers to embedded systems. Scientific recognition includes: Best paper candidate at IEEE International Symposium on High Performance Computer Architecture (HPCA) 2018 for in-network packet generation research Yao actively supervises graduate researchers and leads collaborative projects in computer architecture. His grant portfolio supports work on battery-less IoT systems and neural network accelerators, though specific funding details aren't publicly enumerated. Current projects emphasize sustainable computing through novel architectures for energy-harvesting environments. He operates within Uppsala University's Computer Systems division, contributing to research groups focused on hardware acceleration, embedded systems, and networked architectures. His lab environment fosters interdisciplinary work bridging computer architecture, energy harvesting, and machine learning for next-generation computing platforms.

Seif Haridiمشاهده پروفایل

استاد

• Parallel Computing
• Distributed Computing
• Cloud Computing
• +۴ مورد دیگر

Seif Haridi is a Professor at KTH Royal Institute of Technology in Stockholm, Sweden, specializing in parallel and distributed computing systems. He holds dual roles as Chair-Professor of Computer Systems and Chief Scientific Advisor at RISE SICS. His research integrates systems engineering with theoretical foundations, focusing on programming systems, distributed computing, and big data technologies. Key contributions include co-designing SICStus Prolog, the Mozart Programming System, and Apache Flink, as well as leading the development of HOPS, a European big data platform awarded the IEEE Scale Prize 2017. He has led major EU projects like EIT-Digital’s cloud computing initiative and co-founded startups such as LogicalClocks and HiveStreaming. His teaching includes courses on distributed algorithms and peer-to-peer computing at KTH. Notable awards include the European Data Science Technology Innovation 2019. His work spans systems like HOPS, Flink, and Kompics, emphasizing scalability and robustness in distributed environments. Current projects include CDA (Continuous Deep Analytics) and ExtremeEarth for geospatial data analysis. Research interests include distributed algorithms, consensus protocols, and cloud-native systems. His lab’s contributions to scalable storage (e.g., HopsFS) and stream processing (Apache Flink) highlight his impact on both academia and industry.

• Computational Thinking
• Neural Networks
• Machine Learning
• +۶ مورد دیگر

Anthony V. Robins is a Professor in the Department of Computer Science at the University of Otago, New Zealand. His work spans neural networks , computational cognition , computer science education , and machine learning . With over three decades of publication history, Robins has contributed to understanding catastrophic forgetting , prototype analysis , and reinforcement learning in artificial neural networks. His recent research (2024-2025) focuses on Hopfield networks and Boltzmann neural networks , particularly their applications in state classification , supra-classical logic , and sequential learning . Collaborations with researchers like Hayden McAlister and Lech Szymanski highlight his work in memory systems and Hebbian learning . Robins has also made significant contributions to high school computing education in New Zealand, analyzing curriculum implementation , student perspectives , and teacher challenges through publications in venues like ACM Trans. Comput. Educ. and ACE. His work on self-regulated learning and educational frameworks addresses systemic issues in computing education.

• Programming Languages
• Formal Verification
• Weak Memory Models
• +۴ مورد دیگر

Azalea Raad is a Reader (Associate Professor) in the Department of Computing at Imperial College London, leading the Veritas Lab. She holds a PhD in Computer Science from Imperial College London and is a UKRI Future Leader Fellow since 2021. Her research focuses on programming languages, formal verification, and persistent memory systems, particularly addressing challenges in weak memory models, concurrency, and software correctness. Affiliations: Co-director of the UK Research Institute on Verified, Trustworthy Software Systems Adjunct roles at Facebook (2020–2022) and Bloomberg (2022–present) Education: MEng from Imperial College London PhD in Computer Science from Imperial College London Research Interests: Azalea’s work bridges theoretical foundations and practical system implementation, emphasizing: Formal semantics of persistent and weak memory systems Verification frameworks for concurrent and persistent programs Bug detection in libraries and binaries Transactional memory and system validation Publications: Her recent work explores compositional bug detection, persistent programming principles, and scalable non-termination analysis. Key contributions include frameworks like IsaBIL and Memento, and foundational papers on RDMA robustness and C/C++ memory model extensions. Awards: UKRI Future Leader Fellowship (2021–present). Research recognized through collaborations with industry (e.g., Intel PMDK validation). Labs/Teams: Leads the Veritas Lab, advancing formal methods for trustworthy software systems.

• Clinical Psychology
• Anxiety Disorders
• Experimental Psychopathology
• +۴ مورد دیگر

Vera Bouwman is a dedicated researcher and PhD candidate at Utrecht University's Department of Clinical Psychology within the Social and Behavioural Sciences faculty since September 2020. Her work is centered at the Martinus J. Langeveld Building (Heidelberglaan 1, Room H1.29) where she conducts cutting-edge research on anxiety disorders and treatment response prediction. Her educational background includes a Master's degree in Clinical Psychology (2016) and a Research Master's degree in Social and Health Psychology earned cum laude (2018), both from Utrecht University. Following her studies, she gained valuable research experience as a research assistant (2018-2019) in the Experimental Psychopathology lab. Bouwman's research focuses on implementing experimental approaches to predict anxiety-related treatment response through dynamical system models. Her work aims to identify dynamic early warning signals that indicate individual readiness for change, with the ultimate goal of understanding why and when psychological change is most likely to occur in clinical settings. This innovative approach bridges theoretical models with practical clinical applications. Her publication record demonstrates consistent focus on fear generalization, anxiety disorders, and emotional memory modification. Her research shows a clear trajectory toward developing predictive models for treatment response, with increasing sophistication in methodology from her early work on memory modification through to her current focus on dynamical systems approaches to anxiety treatment. Bouwman's research is supported by significant funding, currently working on a NWO VIDI grant awarded to Dr. Elske Salemink for the project 'Time for change. Sensitivity to experimental perturbations as a predictor of anxiety improvement in treatment'. Previously, her work contributed to a NWO VICI grant awarded to Prof. Dr. Iris Engelhard. She is supervised by an esteemed team including Dr. Elske Salemink (primary supervisor), Prof. Dr. Iris Engelhard, and Dr. Lynn Mobach. Her work is closely associated with the Experimental Psychopathology lab at Utrecht University, where she continues to develop her expertise in experimental approaches to understanding and treating anxiety disorders.

Shresth Guptaمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Signal Processing
• Photoplethysmography (PPG)
• Artificial Intelligence in Healthcare
• +۷ مورد دیگر

Shresth Gupta is a Research Fellow in the School of Mathematics and Physics at the University of Surrey, affiliated with the Mathematics at the Interface Group. His research lies at the intersection of biomedical signal processing, artificial intelligence, and healthcare innovation, with a focus on photoplethysmography (PPG)-based monitoring for non-invasive diagnostics. Education: PhD in Electronics and Telecommunication Engineering, International Institute of Information Technology, Naya Raipur, India (2023) M.Tech in VLSI Design, CSVTU, Bhilai, India (2014) B.E. in Electronics and Telecommunication Engineering, CSVTU, Bhilai, India (2011) His research interests include biomedical signal processing , PPG signal analysis , machine learning for healthcare , wearable health monitoring , and telemedicine . He specializes in developing AI-driven models for cuffless blood pressure estimation, early diabetes detection, cerebral infarction screening, and PPG signal denoising and compression. His work leverages advanced signal processing techniques such as TQWT, DCT, and Savitzky-Golay filtering, combined with machine learning models like Random Forest, LSTM, and CNNs. The recent publications reflect a strong trend in leveraging PPG signals for non-invasive, continuous health monitoring . His research spans from fundamental signal enhancement (denoising, compression) to clinical applications (diabetes, hypertension, stroke). The work consistently targets real-world deployment in wearable devices, emphasizing robustness, accuracy, and compliance with clinical standards like the British Hypertension Society benchmarks. Scientific Awards: No awards listed in the provided text. Shresth Gupta has not published any information about advising students or securing research grants in the given content. However, his extensive publication record in high-impact journals and conferences (IEEE, Springer) indicates active research engagement. He is involved in interdisciplinary teams working on healthcare technology innovation, particularly within the Mathematics at the Interface Group at the University of Surrey, which likely fosters collaboration between mathematics, physics, and medical applications. His future work is expected to further advance AI-powered, wearable-based diagnostic systems for chronic disease management.

Sihang Liuمشاهده پروفایل

استادیار

• Computer Architecture
• Computer Systems
• Persistent Memory Systems
• +۳ مورد دیگر

Dr. Sihang Liu is an Assistant Professor in the School of Computer Science at the University of Waterloo. Prior to this role, he served as a visiting faculty member at SystemsResearch@Google. He holds a PhD from the University of Virginia, where his research was supported by the Google Fellowship Award. His academic career has been marked by contributions to computer architecture, systems, and persistent memory technologies. Dr. Liu's research interests span computer architecture, systems, and cybersecurity, with a focus on persistent memory systems, energy-efficient computing, and data center optimization. His work bridges hardware-software co-design and explores challenges in scalable computing, fault tolerance, and sustainable AI systems. His recent publications highlight advancements in adaptive memory tiering (HybridTier), carbon intensity forecasting (EnsembleCI), and securing persistent memory (Side-Channel Attacks on Optane). These contributions underscore his commitment to addressing critical issues in modern computing systems' performance, security, and environmental impact. Awards: Google Fellowship Award (PhD), NVMW Memorable Paper Award Finalist (2019), 2019 MICRO Top Picks Honorable Mention Professional Service: Program committees for ISCA, MICRO, ASPLOS; Artifact evaluation roles in leading conferences As an advisor, Dr. Liu mentors a diverse group of students, including current PhD candidates Henry Tian and Desen Sun, and numerous undergraduates. His lab focuses on innovation in sustainable computing and resilient systems design.

Guillermo Payá Vayáمشاهده پروفایل

استاد

• Embedded Systems
• Processor Architecture
• FPGA Design
• +۵ مورد دیگر

Prof. Dr.-Ing. Guillermo Payá Vayá leads the Chair for Chip Design for Embedded Computing at Technical University of Braunschweig's Faculty of Electrical Engineering, Information Technology, and Physics. His research focuses on processor architecture design, FPGA/ASIC implementations, and optimization techniques for embedded systems, particularly in high-performance, low-power, and radiation-hardened computing domains. Primary research interests include: Application-Specific Instruction Set Processors (ASIPs) and compiler co-design Radiation effects characterization and fault-tolerant hardware Ultra-low-power processor architectures for embedded AI Hardware acceleration of neural networks and computer vision algorithms Memory subsystem optimization and parallel computing techniques Recent publications demonstrate strong emphasis on radiation-hardened electronics (35% of recent works), AI accelerator design (27%), and ultra-low-power systems (20%), with growing interest in biomedical applications. Experimental validation through FPGA prototyping and semiconductor testing is a consistent methodology across research domains. Leads research team investigating: Radiation-tolerant FPGA architectures (Trumann, Weide-Zaage) Vector processor optimization (Gesper, Thieu) Nano-scale controller design (Weißbrich) AI-hardware co-design (Kautz, Beyer)

David Barrettمشاهده پروفایل

پژوهشگر ارشد

• Sport Participation
• Volunteering
• Spatial Analysis
• +۵ مورد دیگر

David Barrett serves as a Research Fellow at Sheffield Hallam University's School of Sport and Physical Activity within the College of Health, Wellbeing and Life Sciences, where he has contributed to the Sport Industry Research Centre (SIRC) for over 16 years. Specializing in GIS and spatial data analysis, he partners with national sport organizations across the UK and Ireland—including the Gaelic Athletic Association, Sport England, and UK rugby governing bodies—to enhance research capacity on participation trends, volunteering dynamics, talent pathways, and economic impact assessments. Barrett's research centers on the critical relationship between volunteer workforces and sport participation, particularly examining how voluntary sports clubs sustain participation opportunities amid socioeconomic pressures. His expertise in transforming organizational 'business as usual' data into strategic insights informs studies on cost-of-living impacts, pandemic recovery in grassroots sport, and the socioeconomic value of Gaelic Games. Methodologically, he integrates spatial database management, large-scale surveys, and qualitative stakeholder analysis to address complex sector challenges. Recent publication trends reveal Barrett's focus on external shock resilience (Covid-19, cost-of-living crises), talent pathway inclusion across UK/Irish nations, and the economic-social valuation of sport. His work consistently bridges academic rigor with practical application for sport governing bodies, emphasizing spatial analytics and longitudinal data to track participation shifts and organizational adaptation. Scientific recognition includes: Fellow of the Royal Geographical Society (FRGS) Barrett has led major commissioned research for Sport England, UK Sport, and the GAA—including facility audits across four UK/Irish football associations and the landmark Gaelic Games economic valuation study. His advisory role extends to local authorities and professional clubs like Celtic FC, where he translates data into strategic frameworks for sport development. As an active hockey volunteer and contributor to The Hockey Paper, he maintains direct engagement with community sport dynamics. Based at SIRC, Barrett collaborates within Sheffield Hallam's sport research ecosystem, leveraging partnerships with national governing bodies to advance evidence-based policy. His current projects examine outdoor learning infrastructure and Camogie participation baselines, continuing SIRC's tradition of impactful sport sector consultancy.

Tyler Farrellمشاهده پروفایل

استاد آموزشی

• Creative Writing
• Irish Literature
• 20th Century Poetry
• +۳ مورد دیگر

Dr. Tyler Farrell is a Teaching Professor in the Department of English at Marquette University's Klingler College of Arts & Sciences. His research explores the intersections of poetry, place, and cultural identity with a focus on Irish and Midwestern literature. Education: Ph.D. in Creative Writing-Poetry, University of Wisconsin-Milwaukee (2002) M.A. in Literature, Creighton University (1997) B.A. in English and Journalism, Creighton University (1995) Research Interests: Farrell's work centers on 20th-century poetry, creative writing pedagogy, Irish literary traditions, and the cinematic representation of literary works. His current projects examine the geographical imagination in contemporary poetry and develop innovative study abroad programs integrating literary fieldwork. Publications: Farrell's extensive publication record demonstrates consistent engagement with poetic form, cultural memory, and literary biography, particularly within Irish-American contexts. His recent work shows increasing integration of digital humanities approaches to textual analysis. Awards: Pushcart Prize Nomination (2018) Marquette University Teacher of the Year Nominee (2017) Faculty Exploring Leadership Opportunities Fellowship (2020-2021) Simmons Religious Commitment Fund Grant (2015) Academy of American Poets Prize (2001) Academic Service: Coordinates international study programs in Ireland and London, serves on curriculum development committees, and advises student literary publications. Maintains active collaborations with Irish cultural institutions and poetry foundations.

Vanessa Pérez-Rosarioمشاهده پروفایل

استاد

• 19th-21st century U.S. Latinx and Caribbean literatures and cultures
• American studies
• U.S. bilingualism
• +۵ مورد دیگر

Vanessa Pérez-Rosario is a Professor in the Department of English at Queens College, City University of New York (CUNY), where she maintains an active scholarly profile and institutional presence. She serves as managing editor of Small Axe: A Caribbean Journal of Criticism and curator of Queens College's "Off the Page: Conversations with Writers" literary series, demonstrating significant leadership in Caribbean and Latinx literary communities. Her research centers on 19th-21st century U.S. Latinx and Caribbean literatures, with deep expertise in Julia de Burgos studies, transnational feminisms, and multilingual American literature. Key works include Becoming Julia de Burgos: The Making of a Puerto Rican Icon (2014), Hispanic Caribbean Literature of Migration (2010), and the translation of Mayra Santos-Febres' Boat People (2021). She is currently editing I Am My Own Path: A Bilingual Anthology of Julia de Burgos' Writings , which will make Burgos' prose and letters accessible for the first time. Analysis of her recent publications reveals sustained engagement with Caribbean literary iconography, bilingualism, and transnational feminist frameworks. Her work consistently bridges academic scholarship with community-focused initiatives, particularly through the CUNY-NYSIEB project on multilingual education and her editorial curation of Caribbean critical discourse. Through her management of Small Axe and the "Off the Page" series, Pérez-Rosario cultivates vital platforms for Caribbean writers and critical dialogue, extending her scholarly impact into public intellectual spaces and literary community building.

Artemio Ramirezمشاهده پروفایل

استاد

• Computer-Mediated Communication
• Social Network Sites
• Multimodal Interaction
• +۴ مورد دیگر

Artemio Ramirez is Professor at the University of South Florida's Zimmerman School, specializing in computer-mediated communication and relational dynamics. He holds a Ph.D. from the University of Arizona. His research examines how digital platforms facilitate relational reconnection, information seeking, and modality switching in contexts ranging from online dating to elderly social networking. Recent work explores older adults' social media use, influencer marketing psychology, and clinical trial recruitment via digital platforms. Publications consistently investigate how communication technologies reshape interpersonal processes, employing expectancy violations theory and social information processing frameworks.

George Slotaمشاهده پروفایل

دانشیار

• Graph Mining
• Network Analysis
• Big Data Analytics
• +۵ مورد دیگر

George Slota serves as an Associate Professor in the Computer Science Department within the School of Science at Rensselaer Polytechnic Institute (RPI). Previously, he held positions as a Computer Scientist at Sandia National Labs New Mexico and as a Computer Engineer at the Naval Undersea Warfare Center. His research spans graph and network mining, big data analytics, machine learning, bioinformatics , and their intersections with parallel computing, scientific computing, and high performance computing . His work focuses on scalable algorithms for trillion-edge graphs, graph partitioning, community detection, and GPU-accelerated graph processing. His recent publications reveal strong emphasis on graph coarsening and spectral methods distributed graph algorithms for biconnectivity and coloring random graph generation and validation GPU acceleration for graph neural networks His research has been recognized with a prestigious NSF CAREER award supporting his project "Scalable Graph Processing to a Quadrillion Edges and Beyond." Award: National Science Foundation Faculty Early Career Development (CAREER) Award His work demonstrates consistent funding and collaboration with major national laboratories including Sandia National Labs and involvement in ExaGraph projects targeting exascale computing challenges. He maintains an active research group focused on extreme-scale graph analytics.

Byron N. Van Nestمشاهده پروفایل

استادیار

• Neuroethology
• Behavioural Ecology
• Insect Neuroscience
• +۳ مورد دیگر

Byron N. Van Nest serves as an Assistant Professor in the Department of Biological Sciences within the Faculty of Science at the University of Manitoba. His laboratory, housed in the Biological Sciences Building (Office 314), conducts research at the intersection of neurobiology and animal behavior with primary focus on invertebrate models. Dr. Van Nest's research program investigates fundamental questions about how brains select appropriate behavioral responses to environmental conditions, how neural architecture produces species-specific behaviors, and how neural systems change with age and experience. Using honey bees and cockroaches as model organisms, his lab employs multidisciplinary approaches including immunohistochemistry, confocal microscopy, electrophysiology, and sophisticated behavioral assays. Key research areas include time-memory processing in foragers, neural plasticity in mushroom bodies, sensory integration of olfactory and gustatory cues, and the neurotoxic effects of pesticides on insect cognition. Analysis of his publication record (2011-2023) reveals consistent contributions to insect neuroscience, particularly in understanding the neural basis of foraging behavior. His work demonstrates how experience shapes time-memory management in honey bees, how pesticide exposure alters synaptic organization, and how sensory modalities interact during decision-making. The research integrates molecular, anatomical, and behavioral methodologies to address questions about neural plasticity in changing environments. No scientific awards were documented in the provided materials. While the Van Nest Laboratory acknowledges funding sources, specific grant details and student mentorship records are not specified in the available text. The lab maintains active research operations focusing on neuroethological questions using invertebrate models. The Van Nest Laboratory operates within the Department of Biological Sciences at the University of Manitoba, utilizing specialized equipment for neural imaging and behavioral analysis. Current research directions include investigating pesticide impacts on neural circuits, decoding time-memory mechanisms in social insects, and exploring sensory processing pathways in honey bees under controlled laboratory conditions.