جستجوی استاد راهنمای دانشگاهی

Mary Woottersمشاهده پروفایل

دانشیار

• Error-Correcting Codes
• Randomized Algorithms
• Information Theory
• +۶ مورد دیگر

Mary Wootters is an Associate Professor of Computer Science and Electrical Engineering at Stanford University. She holds joint appointments in both departments and is a member of the Institute for Computational and Mathematical Engineering (ICME). Her research focuses on theoretical computer science, information theory, and applied mathematics, with an emphasis on error-correcting codes, randomized algorithms, and data processing techniques. She earned her Ph.D. in Mathematics from the University of Michigan (2014) and a B.A. in Math and Computer Science from Swarthmore College (2008), followed by an NSF postdoctoral fellowship at Carnegie Mellon University (2014–2016). Her research interests include error-correcting codes , randomized algorithms , and dimension reduction , with applications to data storage , nano-engineering , and high-dimensional signal processing . Notable contributions include advancements in LDPC codes , Reed-Solomon codes , and robust gray codes . She also explores quantum LDPC codes and nanopore-based DNA storage systems . Dr. Wootters has been recognized with prestigious awards, including the NSF CAREER Award , PECASE Award , Sloan Research Fellowship (2019) , and the IEEE Information Theory Society Goldsmith Lecturer (2024). Her work bridges theoretical foundations and practical applications, addressing challenges in coding theory and data reliability. Her advising spans multiple PhD students and postdoctoral scholars, including notable alumni like Reyna Hulett and Shashwat Silas. She teaches advanced courses such as Algebraic Error Correcting Codes and Randomized Algorithms , and actively contributes to interdisciplinary research through grants like the NSF-BSF on coding theory and pseudorandomness.

Xiang Liمشاهده پروفایل

دانشیار

• Process control and simulation in chemical engineering
• Optimization under uncertainty
• Data-driven estimation, optimization, and control
• +۳ مورد دیگر

Dr. Xiang Li is an Associate Professor in the Department of Chemical Engineering at Queen's University, affiliated with the Smith Engineering Faculty. His email is xl14@queensu.ca, and his office is located in Dupuis 403. He holds a PhD in Chemical Engineering from McMaster University, an M.Eng. in Systems Engineering from Zhejiang University, and a B.Eng. in Industrial Automation, also from Zhejiang University. After completing a postdoctoral fellowship at MIT, he joined Queen's University in 2011. His research focuses on optimizing complex engineering systems under uncertainty, with emphasis on energy and water networks, production planning, and data-driven optimization techniques. Key areas include mixed-integer programming, stochastic optimization, and supply chain management. His work bridges theoretical advancements and practical applications in chemical engineering. Dr. Li has been recognized with an NSERC Discovery Grant (Early Career Supplement). His research outputs span computational biology (e.g., nucleosome positioning, histone mutations) and traditional chemical engineering domains, reflecting interdisciplinary interests. His lab develops novel algorithms and software tools for system design and control. Education: PhD (2009): Chemical Engineering, McMaster University M.Eng. (2003): Systems Engineering, Zhejiang University B.Eng. (2000): Industrial Automation, Zhejiang University Awards: NSERC Discovery Grant with Early Career Researcher Supplement His advising efforts and grant activities are central to advancing interdisciplinary engineering solutions. Current projects involve energy-water nexus systems, optimization under uncertainty, and data-driven methodologies.

• Structural Biology
• Chemical Engineering
• Protein Biochemistry
• +۷ مورد دیگر

Brent Nannenga is an Associate Professor of Chemical Engineering at Arizona State University (ASU), affiliated with the School for Engineering of Matter, Transport and Energy and the Biodesign Center for Applied Structural Discovery. He co-directs the NIH-funded MicroED Imaging Center at UCLA, focusing on advancing microcrystal electron diffraction (MicroED) methodology and applications. His research bridges chemical engineering, structural biology, and materials science, emphasizing high-resolution structure determination and biomolecule/material engineering. Education: Ph.D. in Chemical Engineering (University of Washington, 2011); M.S. and B.S.E. in Chemical Engineering (ASU, 2007 and 2005). Research interests include: MicroED development, protein-nanoparticle interactions, cyanobacterial bicarbonate transporters, and bio-inspired materials. His work has led to breakthroughs in structural biology, such as DNA crystal analysis and ferritin biomineralization studies. Articles trends reflect a focus on MicroED applications, crystallography innovations, and interdisciplinary collaborations. Recent work explores 2D covalent organic frameworks, gold complex reactivity, and semiconductor structures. Awards: NSF CAREER Award, AFOSR Young Investigator Award, 2020 Burton Medal, 2022 Margaret C. Etter Early Career Award Advising/Grants: Leads NIH-funded MicroED center; supervises research projects across chemical engineering and bioengineering. Courses taught include advanced lab techniques, transport phenomena, and thesis supervision. Labs/Teams: Biodesign Center for Applied Structural Discovery, MicroED Imaging Center (UCLA), and collaborations in materials science and biochemistry.

Lynn Patersonمشاهده پروفایل

دانشیار

• Biophotonics
• Optical Manipulation
• Microfluidics
• +۵ مورد دیگر

Dr. Lynn Paterson is an Associate Professor at Heriot-Watt University, affiliated with the School of Engineering and Physical Sciences and the Institute of Biological Chemistry, Biophysics and Bioengineering. She joined the university in 2007 as an RCUK Academic Fellow. Her research focuses on biophotonics, including optical manipulation, microfluidics, and nanoparticle sensors, applied to biosensing, biodiscovery, and biomedical devices. She holds roles such as Deputy Director of EPS Postgraduate Research and coordinates Year Four Physics teaching and undergraduate projects. Paterson earned a BSc from Glasgow University and a PhD from St Andrews University. Her work integrates optics and photonics to isolate cells, design optical tweezers, and develop biomedical tools. Recent research includes studies on DNA damage from far-UV light, 3D microrheology, and energy storage applications of metal-organic frameworks. Her publications span topics like optical tweezers, microrheology, and nanotechnology, with a focus on biomedical and environmental applications. She actively participates in academic activities, including organizing conferences on optical trapping technologies and serving as an external examiner for PhD theses. Her lab, based in the David Brewster Building, develops innovative optical instruments for biological systems. Paterson’s contributions align with sustainable development goals through biomedical innovations and environmental studies. She engages in outreach, such as the 'Girls into STEM 2024' initiative, promoting science education.

Rachael Goodman-Williamsمشاهده پروفایل

استادیار

• Community Psychology
• Gender-Based Violence
• Trauma-Informed Research Methods
• +۴ مورد دیگر

Rachael Goodman-Williams is an Assistant Professor of Psychology at Wichita State University, directing the Community Responses to Sexual Assault (CRSA) Research Group. She specializes in ecological-community psychology with a focus on quantitative methods and evaluation sciences. Her research examines how communities respond to gender-based violence, particularly sexual assault, and emphasizes improving systems' responses through trauma-informed methodologies and policy development. She collaborates with rape crisis centers, law enforcement, and healthcare providers to address survivor experiences and institutional accountability. Education Ph.D. in Ecological-Community Psychology (2020), Michigan State University M.A. in Ecological-Community Psychology (2017), Michigan State University B.A. in Gender & Women’s Studies (2009), Knox College Her research interests include posttraumatic stress, mandatory reporting policies, forensic evidence collection practices, and organizational decision-making around violence prevention. She has published extensively on topics like sexual assault survivor decision-making, cold case investigations, and the impact of pandemic-related disruptions on advocacy services. Her work often integrates quantitative and qualitative methods to ensure rigorous, survivor-centered insights. Listen to her podcast discussion on Just Science about survivor experiences with forensic evidence and reporting decisions.

• DNA Data Storage
• Molecular Storage Systems
• Hardware Acceleration
• +۳ مورد دیگر

APPUSWAMY Raja is an Assistant Professor in the Data Science department at EURECOM, a leading institution for research in digital security, communication systems, and data science. His work focuses on innovative storage solutions leveraging synthetic DNA and hardware acceleration. He actively participates in international conferences and workshops, presenting breakthroughs in molecular storage systems and cross-architecture computing. Research interests include DNA-based data storage systems, error correction mechanisms for molecular media, and hardware acceleration for databases and analytics. Notable projects include CMOSS (a motif-based columnar storage system) and SYCLOPS (optimizing extreme analytics across architectures). Awards include multiple best paper awards for contributions to DNA storage reliability and storage stack design. Education: Advanced degrees in Computer Science (specific details not provided in text) Awards: Best Student Paper (EUSIPCO 2019), Best Paper (CORESA 2018), and multiple LADC recognitions Grants/Projects: Active in EU-funded research initiatives on molecular storage and hardware acceleration Labs/Teams: Leads the Data Science team at EURECOM, collaborating with interdisciplinary groups on DNA storage and database systems

• Big Data
• Data Storage Technology
• Spatial Data Management
• +۹ مورد دیگر

Thomas Heinis is a Professor in Computing at Imperial College London. He leads the SCALE Lab and conducts research in DNA data storage and high-performance data analytics. His academic journey includes a Ph.D. and M.Sc. in Computer Science from ETH Zürich, a Postdoctoral fellowship at EPFL’s DIAS Lab, and a Fulbright Scholarship at Purdue University. He specializes in scalable data management techniques for scientific and spatial datasets, novel hardware optimization, and interdisciplinary applications such as medical data analysis. Education: Ph.D. and M.Sc. in Computer Science, Swiss Federal Institute of Technology in Zürich (ETH Zürich) Postdoctoral Fellow, DIAS Lab, EPFL Fulbright Scholarship, Purdue University (2002–2004) Research Interests: Big Data and Distributed Processing Spatial Data Indexing and Visualization High-Performance Computing (HPC) Data Analytics Data Management on Novel Hardware (e.g., neuromorphic systems) Synthetic DNA Storage Technology Interdisciplinary Applications in Medicine and Neuroscience Recent Work Trends: Heinis’s publications emphasize innovative storage solutions like Motif-based DNA encoding, efficient spatial indexing algorithms (e.g., FLAT, SCOUT, TOUCH), and machine learning-driven approaches for healthcare and scientific data analysis. His work bridges computational methods with real-world applications in neuroscience, medicine, and environmental science. Scientific Awards: SystemsX Interdisciplinary Ph.D. Fellowship (2007) Finalist, Venture Leaders Entrepreneurship Competition (2007) Finalist, Purdue Burton D. Morgan Entrepreneurship Competition (2003) Fulbright Scholarship (2002–2004) Advising & Grants: Supervises Ph.D. students in scientific data management, spatial data, and DNA storage. Funding opportunities include Marie-Curie post-doctoral fellowships, CSC Imperial Scholarships, and others. His lab actively collaborates with institutions like the Blue Brain Project and explores scalable tools for data-driven research. Labs & Teams: Leader of the SCALE Lab at Imperial College. Collaborations with the Blue Brain Project (BBP) on neuroscientific data management.

Yi Xinمشاهده پروفایل

استادیار

• Empirical Industrial Organization
• Econometrics
• Applied Microeconomics
• +۳ مورد دیگر

Yi Xin is an Assistant Professor of Economics at the California Institute of Technology (Caltech), affiliated with the Division of Humanities and Social Sciences. She holds a B.A. and B.S. from Peking University (2012), an M.A. from Johns Hopkins University (2016), and a Ph.D. in Economics from Johns Hopkins (2018). Her research focuses on Empirical Industrial Organization and Structural Econometric Modeling, examining economic mechanisms and consumer behavior in markets with asymmetric information and emerging online platforms using micro-level data. She develops novel econometric techniques to identify and estimate structural parameters. Xin is a member of the Ronald and Maxine Linde Institute of Economic and Management Sciences. Featured research includes her work on peer-to-peer lending markets and structural econometric modeling. Her academic contributions intersect economics and applied quantitative methods, addressing real-world market complexities. Notable milestones include joining Caltech in 2018 as part of a cohort of new faculty spanning diverse disciplines from cosmochemistry to quantum theory. Her research trends reflect a focus on interdisciplinary applications of econometrics to modern market structures, leveraging both theoretical frameworks and empirical data analysis. While her articles list includes materials science contributions, her primary academic profile emphasizes economics. Further details about grants or advising roles are not explicitly documented in the provided materials.

Jennifer McElhoeمشاهده پروفایل

استاد پژوهش

• Bioremediation
• Environmental Engineering
• Molecular Biology
• +۵ مورد دیگر

Jennifer McElhoe is an Associate Research Professor in the Department of Biochemistry and Molecular Biology at Penn State University, affiliated with the Holland Lab. Penn State University—Ph.D. in Environmental Engineering (2011) University of Florida—M.S. in Environmental Engineering Sciences (1998) Coastal Carolina University—B.S. in Marine Science (1997) Her research spans bioremediation and microbial ecology, focusing on chlorinated ethene degradation using chitin and crab shell substrates. She has also conducted pioneering work in forensic genetics, including mitochondrial DNA analysis (MPS), heteroplasmy, and DNA recovery from unconventional sources like ammunition. Her STEM education outreach includes K-12 programs, curriculum mentoring, and workshop leadership. Jennifer's scientific contributions are recognized through awards such as the NSF Graduate Teaching Fellowship in K-12 Education and Penn State's Iron Scientist Competition (1st place). She has received multiple scholarships, fellowships, and honor society inductions throughout her academic career. Her publications cover diverse subfields, including bioremediation, molecular genetics, and forensic DNA analysis. These works often involve interdisciplinary collaboration with environmental engineers, bioinformaticians, and K-12 educators.

• Data Storage Systems
• Blockchain Technology
• Machine Learning
• +۴ مورد دیگر

Dr. Bin Li is an Assistant Professor in the Department of Management at the Naveen Jindal School of Management, University of Texas at Dallas. He specializes in accounting and teaches courses like 'Introduction to Financial Accounting,' emphasizing financial statement analysis for undergraduate students. Dr. Li holds a Ph.D. in Business Administration from Duke University (2012), an M.S. in Computer Science from Tsinghua University (2007), and a B.S. in Economics from Renmin University (2005). His research focuses on data storage systems, blockchain technology, machine learning applications, and neural network optimization. Key areas include hybrid SSD management, DNA storage innovations, stochastic computing for adversarial defense, and graph processing efficiency. He has pioneered techniques such as encoding schemes to enhance DNA storage density and hybrid learning-based SSD mapping strategies. His recent work explores large language model (LLM) applications for storage system analysis and integrates semantics-aware approaches in blockchain key-value stores. He also investigates energy-efficient storage solutions and sustainable SSD lifecycle management. Dr. Li has received the Best Paper Award from the American Accounting Association’s Financial Accounting and Reporting Section for his collaborative study on FASB standards’ shareholder value impact. His research grants and collaborations involve interdisciplinary projects at the intersection of computer science and accounting, with a focus on real-world applications in storage technologies and financial systems. Dr. Li is affiliated with research groups advancing next-generation storage architectures and participates in academic initiatives promoting sustainable computing practices.

Zhiwei Liمشاهده پروفایل

استادیار

• Materials Chemistry
• Nanoscience
• Quantum Chemistry
• +۵ مورد دیگر

Zhiwei Li is an Assistant Professor in the Department of Chemistry and Biochemistry at the University of Maryland College Park, joining in August 2024. He holds a Ph.D. in Physical Chemistry from the University of California Riverside (2014–2019), an M.Sc. in Materials Science from Soochow University (2011–2014), and a B.Sc. in Materials Science from Soochow University (2007–2011). Prior to his current role, he was a Postdoctoral Fellow at Northwestern University under Prof. Chad Mirkin (2022–2024) and a Research Assistant at UCR under Prof. Yadong Yin and Prof. Nosang V. Myung (2014–2022). His research focuses on: Controlled synthesis of magnetic, metallic, and semiconductor nanomaterials Programmable assembly of smart nanostructured materials and quantum superlattices High-throughput synthesis and AI-driven discovery of nanocrystals for energy applications Notable achievements include the IIN Outstanding Researcher Leader Award (2024) , IAAM Scientist Medal (2023) , and Richard P. Van Duyne Postdoctoral Fellowship (2022) . The Li Research Group's work spans photonic metamaterials, quantum engineering, and energy storage, with emphasis on stimuli-responsive systems and nanocrystal megalibraries. His lab integrates computational modeling, combinatorial synthesis (e.g., polymer pen lithography), and AI to accelerate materials discovery. Current projects include DNA-mediated assembly of quantum metamaterials and high-throughput screening of perovskite nanocrystals for photovoltaics.

• Electrochemistry
• Sensor Technology
• Nanointerfaces
• +۵ مورد دیگر

Associate Professor Yang Liu is an academic in Analytical Chemistry at James Cook University (JCU), affiliated with the College of Science and Engineering and Department of Chemistry. She holds roles as a Fellow of the Royal Australian Chemical Institute (RACI) and Queensland Representative for the Electrochemistry Division of RACI. Her research focuses on electrochemical technologies for environmental, biological, and energy applications, particularly nanomaterial-based sensors and plasma electrochemistry for green synthesis. She leads projects on phosphate sensors for cattle samples, plasma electrocatalysis for water pollutants, and renewable energy systems. Dr. Liu has supervised numerous PhD and MSc students in areas like graphene synthesis and mineral exploration. She has received prestigious awards, including the Paul Haddad Medal and Rod Rickards Fellowship, and actively participates in academic committees and editorial boards. Her work bridges innovation in electrochemical methods with real-world applications in sustainability and environmental monitoring. Education/Experience: Research Fellow at Nanyang Technological University (2011–2013), progressing through lecturer roles at JCU to her current position since 2025. Research Interests: Electrochemistry, sensor technology, nanointerfaces, green synthesis, and environmental applications. Her lab develops low-cost sensors using nanostructured materials and explores plasma-based methods for clean water and energy storage. Grants & Awards: Theo Murphy Initiative Grant (2025), multiple fellowships, and grants supporting student mobility programs like the New Colombo Plan. Her research has led to over 70 publications and collaborations across academia and industry. Advising & Grants: Supervises 11 current PhD students and has mentored 8 completed doctoral researchers. Active in securing grants for mineral exploration, sensor development, and sustainability projects. Labs/Teams: Engaged in JCU’s Research Committee and Equity, Diversity, and Inclusion initiatives, as well as national and international electrochemistry symposiums.

• Alzheimer's Disease
• Sanfilippo Syndrome
• Zebrafish Models
• +۷ مورد دیگر

Associate Professor Michael Lardelli is affiliated with the School of Biological Sciences at the University of Adelaide, within the Faculty of Sciences, Engineering and Technology. He holds an academic rank of Associate Professor and manages the University's Drosophila melanogaster facility. His research focuses on investigating Alzheimer's disease and childhood dementia (Sanfilippo syndrome) using zebrafish and fruit fly models. Key techniques include transcriptomics, proteomics, and metabolomics to study disease mechanisms, particularly mutations in the PRESENILIN 1 gene and their effects on energy metabolism. Collaborations with bioinformatician Karissa Barthelson enhance analysis of multi-omics data. Research projects combine molecular biology, genome editing, and behavioral assays, with recent expansions into Drosophila models. His work explores shared pathogenic mechanisms between Alzheimer's and Sanfilippo syndromes, including oxidative stress responses and mitochondrial dysfunction. Notable contributions include developing zebrafish models for neurodegenerative diseases and creating tools like the tadar R/Bioconductor package for transcriptome analysis. Lardelli's lab actively engages in grant submissions and supervises higher-degree research candidates. The facility oversees Drosophila husbandry standards critical to experimental reproducibility. Despite no explicit awards listed, his publications reflect significant contributions to neurodegenerative disease research methodologies and cross-species disease modeling.

Rayan Chikhiمشاهده پروفایل

پژوهشگر

• Bioinformatics
• Algorithmics
• Computational Biology
• +۷ مورد دیگر

Rayan Chikhi is a Researcher and Structure Manager Responsible at the Institut Pasteur, affiliated with the UMR3569 – Virology unit and the Advanced Molecular Virology department. His work lies at the intersection of bioinformatics, algorithmics, and computational biology, with a strong focus on developing efficient data structures and analytical tools for genome and metagenome analysis. His research interests include: Bioinformatics and algorithm development for biological sequences Pangenomics and variation graph construction k-mer and minimizer-based data structures Genome and metagenome assembly Ancient DNA analysis and decontamination Microbial source tracking Rayan Chikhi’s recent publications demonstrate a consistent trend toward creating scalable, efficient, and open-source computational tools that address bottlenecks in genomic data analysis. His work on unitig matrices (MUSET), quotient filters, and pangenome graphs reflects a focus on reducing computational resource demands while preserving biological accuracy. These tools are widely applicable in metagenomics, ancient DNA studies, and large-scale genomic association studies. Scientific contributions and software developments include: MUSET: for constructing abundance-preserving unitig matrices Backpack Quotient Filter: a dynamic, space-efficient k-mer index decOM: for microbial source tracking in ancient samples aKmerBroom: for decontaminating ancient oral DNA Contributions to K-mer File Format standardization He actively mentors and collaborates with junior researchers, including PhD students Francesco Andreace and Timothé Rouzé, and postdoctoral fellows such as Camila Duitama González and Kristen Curry. He is involved in major institutional initiatives such as the INCEPTION Convergence Institute and the Artificial Intelligence at the Pasteur Institute cross-functional project, highlighting his role in interdisciplinary research. His work is supported by collaborative grants and contributes to advancing open science in computational genomics. Rayan Chikhi is a key member of the bioinformatics team at the Institut Pasteur, contributing to both methodological innovation and practical applications in virology and microbial genomics. His lab and team focus on building robust, open-source software tools that empower large-scale biological discovery.

Thomas Einwoegererمشاهده پروفایل

پژوهشگر

• Paleolithic Archaeology
• Settlement Structures
• Artifact Morphology
• +۴ مورد دیگر

Thomas Einwoegerer is a researcher at the Austrian Academy of Sciences and head of the Quaternary Archaeology Research Group since 2017. He has taught at the Institute of Prehistory and Historical Archaeology at the University of Vienna since 2003, focusing on Paleolithic studies. Affiliation: Austrian Academy of Sciences (since 2000), University of Vienna (since 2003) Education: Doctorate in Prehistory and Early History from the University of Vienna (2009) His research centers on Paleolithic settlement structures, artifact morphology, and experimental archaeology. Key projects include long-term excavations at Krems-Wachtberg (2005–2015) and Kammern-Grubgraben (since 2015), with a focus on loess stratigraphy and subsistence strategies during the Last Glacial Maximum. Recent publications analyze geochemical proxies, radiocarbon chronologies, and osseous industries at LGM sites in Lower Austria. His work bridges archaeological data with Quaternary science to understand environmental impacts on hunter-gatherer societies. He leads the Quaternary Archaeology Research Group and contributes to public archaeology through excavations and outreach. Collaborations span institutions in Austria, Germany, and international venues.