جست‌وجوی استاد و پژوهشگر

Alex Banksمشاهده پروفایل

استادیار

• Metabolic Disorders
• Energy Balance
• Obesity
• +۶ مورد دیگر

Alex Banks is an Assistant Professor at Harvard Medical School and Beth Israel Deaconess Medical Center (BIDMC), with a focus on metabolic disorders. As Director of the Energy Balance core facility at BIDMC, he employs indirect calorimetry to study energy expenditure, food intake, and thermogenesis in mice. His research bridges genetic, pharmacological, and environmental factors to enhance understanding of obesity and metabolic diseases, while developing open-source tools like CalR to standardize metabolic analysis for the broader scientific community. Role: Assistant Professor Affiliation: Harvard Medical School, BIDMC Facility: Energy Balance Core Director Research Interests: The Banks Lab investigates mechanisms of obesity and metabolic disorders, emphasizing energy balance regulation through: Indirect calorimetry and metabolic rate analysis Genetic and pharmacological modulation of PPARγ Gut microbiome interactions with host metabolism Neural circuits controlling thermogenesis and food-seeking behavior Development of computational tools (CalR) for metabolic data Scientific Trends: Recent work spans obesity-linked phosphorylation of PPARγ, thermogenesis regulation via thyroid hormone, microbiome-dependent metabolic control, and novel methods for calorimetry. Collaborative projects address translational applications in bariatric surgery and metabolic drug development. Collaborations: The lab serves as a hub for Harvard/Boston-area researchers and provides freely accessible analytical tools to maximize utility of animal and human studies in combating obesity.

• Resilience Ecology
• Marine Ecology
• Blue Carbon Ecosystems
• +۴ مورد دیگر

Dr Alice Jones is a Senior Lecturer in Resilience Ecology at the University of Adelaide's School of Biological Sciences, within the Faculty of Sciences, Engineering and Technology. She leads the Future Coasts Lab, focusing on coastal ecosystems' role in mitigating climate change through blue carbon storage and restoration. Her research emphasizes seagrass restoration, marine aquaculture sustainability, and interdisciplinary collaboration with governments and NGOs. Education: PhD from the National Oceanography Centre (UK), MSc in Aquatic Resource Management (King's College London), BSc Zoology (Manchester University). Research interests include blue carbon ecosystems (mangroves, seagrasses, saltmarshes), climate change mitigation, and policy frameworks. Key projects include a federally-funded seagrass restoration initiative in South Australia and collaborations on climate-smart aquaculture. Notable awards: 2020 Winnovation Award, 2021 South Australian Young Tall Poppy Science Award, and 2022-2024 Superstar of STEM. She is an Associate Editor for Remote Sensing in Ecology and Conservation . Grants include a $2.1M Commonwealth grant for Gulf St Vincent seagrass restoration and a $1M project measuring blue carbon benefits. She has mentored Honours and PhD students in coastal ecology and collaborates internationally on policy and restoration. Labs/Teams: Future Coasts Lab, part of interdisciplinary networks focused on coastal resilience and climate action.

James Tuckمشاهده پروفایل

استاد

• Computer Architecture
• Compiler Design
• Chip Multiprocessors
• +۳ مورد دیگر

James Tuck is a Professor and Senior Associate Department Head for Undergraduate Affairs in the Department of Electrical and Computer Engineering at NC State University. He holds a BE from Vanderbilt University, and MS and PhD from the University of Illinois at Urbana-Champaign. His research focuses on computer architecture, compiler design, and DNA-based data storage, with notable contributions to chip multiprocessors and speculative execution. He has been recognized with two IEEE Micro Top Picks Paper Awards and the William F. Lane Outstanding Teaching Award. Education: Ph.D. in Computer Science, University of Illinois at Urbana-Champaign (2007) MS in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (2003) BE in Computer Engineering, Vanderbilt University (1999) Research Interests: Computer Architecture and Systems Compiler Design for Multiprocessors Hardware Support for Speculative Execution Advances in DNA Data Storage Non-Volatile Memory Systems Recent work emphasizes DNA storage scalability and security, including frameworks like FrameD and innovations in nanopore decoding. His articles span hardware optimization, persistent memory security, and biochemical storage solutions. Awards highlight both technical and pedagogical excellence. Advising and Grants: Leadership in Undergraduate Engineering Affairs NSF grants for DNA storage and memory systems Labs/Teams: Member of Undergraduate Affairs Team in NC State ECE Collaborations with Chemical and Biomolecular Engineering

Farzad Farnoudمشاهده پروفایل

استادیار

• Information and Coding Theory
• Machine Learning
• Bioinformatics
• +۳ مورد دیگر

Farzad Farnoud is an Assistant Professor in the Electrical and Computer Engineering and Computer Science Departments at the University of Virginia. His research focuses on information theory, coding theory, computational biology, and machine learning, with applications in DNA storage and genomic data analysis. He holds a Ph.D. in Electrical and Computer Engineering from the University of Illinois (2013) and postdoctoral experience at Caltech. Education: B.S. in Electrical Engineering (Sharif University of Technology, 2006) M.S. in ECE (University of Toronto, 2008) M.S. in Mathematics (UIUC, 2012) Ph.D. in ECE (UIUC, 2013) Postdoc at Caltech (2013–2016) His research interests span information-theoretic analysis of biological datasets, coding for DNA storage, stochastic modeling of genomic mutations, and rank aggregation algorithms. Notable contributions include error-correcting codes for duplication channels and frameworks for metagenomic data analysis. Recent work includes studies on short-duplication error correction (2023), active ranking algorithms (2022), and heterogeneous rank aggregation (2020). He has received the Robert T. Chien Memorial Award (2013) and the IEEE Data Storage Best Student Paper Award (2014). Teaching includes courses on computational biology, statistical learning, and graphical models. He leads the Information Processing + Storage Lab, focusing on interdisciplinary challenges in data storage and analysis.

Robert Peharzمشاهده پروفایل

استادیار

• Probabilistic Machine Learning
• Tractable Probabilistic Models
• Artificial Intelligence
• +۶ مورد دیگر

Robert Peharz is an Assistant Professor at Graz University of Technology, where he leads research at the Institute of Machine Learning and Neural Computation. His work focuses on probabilistic machine learning, with particular emphasis on tractable probabilistic models, causality, and neurosymbolic AI. Education and Career PhD from TU Graz (Austria) in 2015 Postdoc at Medical University of Graz Postdoc and Marie-Curie Individual Fellow at University of Cambridge (2017-2019) Assistant Professor at Eindhoven University of Technology (2019-2021) Current: Assistant Professor at Graz University of Technology Research Interests Peharz's research spans multiple areas of artificial intelligence with a focus on making probabilistic reasoning both theoretically sound and practically efficient. His work addresses fundamental challenges in tractable probabilistic inference and learning, probabilistic circuits as a unified framework for deep generative models, Bayesian causal inference, and neurosymbolic AI combining sub-symbolic and symbolic approaches. His research has applications in cybersecurity, healthcare, and energy systems. Research Projects VENTUS (2024-present): Physics-informed, probabilistic and causal machine learning for wind energy systems NEO DNA (2023-present): DNA-based data storage systems using computer vision and probabilistic ML VanillaFlow (2023-present): AI-guided development of novel vanillin-based molecules for redox flow batteries Bilateral AI : Cluster of Excellence focused on Broad AI combining sub-symbolic and symbolic AI approaches Awards and Recognition Finalist for TUG's Excellent Teaching Award (2023) for all 3 of his courses Marie-Curie Individual Fellow at University of Cambridge Academic Service Peharz is actively involved in the academic community through conference organization and reviewing: Area Chair: UAI (2022), ECML/PKDD (2022) Senior Committee Member: UAI (2021), IJCAI (2019, 2020) Reviewer for major conferences including ICML, NeurIPS, AAAI, IJCAI-ECAI Teaching and Mentorship Peharz supervises multiple PhD students working on diverse projects at the intersection of machine learning, causality, and neurosymbolic AI. His current advisees include Sepideh Adamiat, Irina Dobrianski, Johannes Exenberger, Giacomo Di Gobbi, Tim d'Hondt, Christian Toth, and Thomas Wedenig. Previous students include Alvaro Correia, Martin Trapp, and David Montalvan.

Magdy Salamaمشاهده پروفایل

استاد

• Power Quality Analysis
• Smart Grid Technology
• Renewable Energy Systems
• +۷ مورد دیگر

Dr. Magdy Salama is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, with dual professional engineering registrations in Ontario and Egypt. His research focuses on power systems, smart grid technologies, renewable energy integration, and medical imaging. He holds over 460 publications, including 215 journal articles, and has developed specialized labs in areas like Power Quality and Ultrasound Imaging. Recognized in the 1991 National Encyclopedia of Egyptian Scientists, he also teaches courses such as ECE 192, 390, and 462, emphasizing engineering economics and design. Education: PhD, Electrical Engineering, University of Waterloo (1977) MSc, Electrical Engineering, Cairo University (1973) BSc, Electrical Engineering, Cairo University (1971) Research Interests: Power quality and distribution system automation Smart grid and renewable energy analysis Medical image processing (e.g., sleep staging, neuromodulation) Electric energy storage and fault detection Asset management and risk analysis Labs & Innovation: He leads labs in Power Quality, Electric Vehicle Power Electronics, Ultrasound Imaging, and Sleep Staging. His patents include high-voltage power supplies for automotive and aerospace applications. Awards: Listed in the 1991 National Encyclopedia for Distinguished Egyptian Men of Science . Teaching & Grants: Recently taught courses like Distribution System Engineering (ECE 6606PD) and Electric Safety Design (ECE 6616PD). His work spans academic-industrial partnerships, though specific grants are not detailed in the text.

• Nanoplasmonics
• Nano-optics
• Biochips
• +۷ مورد دیگر

Li Yi is a Tenured Associate Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech) , with expertise in nanoplasmonics, nano-optics, and biochips. His career spans institutions including KU Leuven, Imperial College London, and Ludwig-Maximilians-Universität München. Education: Ph.D. (2015, KU Leuven & IMEC), M.S. (2010) and B.S. (2007) in Biomedical Engineering from Zhejiang University. Career: Associate Professor (2021–present) and Assistant Professor (2019–2020) at SUSTech; LMU Research Fellow (2018–2019); Research Associate (2015–2018) at Imperial College London. Research Interests focus on single-molecule biochips, DNA data storage, and nanopore sequencing. His work bridges nanotechnology with biomedical applications, including: Integrated circuit-compatible optical/electrical devices Computational lithography and nanoscale imaging Neural network training for biosensing Publications include >60 peer-reviewed articles with 25 H-index. His recent work emphasizes DNA-based data encryption, nanopore engineering, and portable biosensing systems. Key journals: Nature Communications, Nano Letters, ACS Nano. Scientific Awards : LMU Research Fellowship (Marie Curie COFUND) imec Excellent Scientific Award Shenzhen 'Peacock Plan' Category B Talent Outstanding Poster Award at Surface Plasmon Photonics 2017 Participation in Lindau Nobel Laureates Meeting (2019) Grants include Ministry of Science and Technology Key R&D Youth Program, NSFC General Program, and Guangdong Provincial Key Program. His lab develops: Fluidic nanopores for single-molecule sensing Optical antennas for enhanced detection Training programs in biochip design and nano-optics

Mél Hoganمشاهده پروفایل

دانشیار

• Critical Data Studies
• Environmental Humanities
• Media Studies
• +۴ مورد دیگر

Mél Hogan is an Associate Professor in the Department of Film and Media at Queen's University and host of The Data Fix podcast. She serves as MA/PhD supervisor within her department, though currently not accepting new students while remaining available for supervisory committees and exams via Zoom. Her research critically examines the environmental impacts of data infrastructures through environmental humanities, critical data studies, and science and technology studies (STS). She employs qualitative, research-creation, and ethnographic methods to investigate data centers, archival theory, and elemental media, with particular focus on how digital technologies intersect with climate crisis and ecological systems. Her work bridges media studies with environmental concerns, emphasizing cultural, social, and historical dimensions of technology. Recent publications (2022-2025) reveal consistent thematic evolution toward data center ecologies, climate-tech intersections, and materialities of digital storage. Key trends include solastalgia (environmental distress) in cloud computing, archival responses to extinction, and critical examinations of AI's environmental costs. Her scholarship demonstrates increasing interdisciplinary reach across media archaeology, environmental humanities, and critical infrastructure studies. Dr. Hogan actively supervises graduate students with interdisciplinary projects using qualitative methods in communication/media studies, environmental humanities, and critical theory. She explicitly notes unsuitability for technical problem-solving projects or quantitative social science approaches, emphasizing her preference for critical-humanistic perspectives on data, media, and technology. Her advising philosophy centers on collaborative exploration of environmental impacts within data infrastructures.

Bruce Tuftsمشاهده پروفایل

استاد

• Fisheries Conservation
• Sustainable Aquaculture
• Freshwater Ecology
• +۳ مورد دیگر

Dr. Bruce Tufts is a Professor in the Department of Biology at Queen's University, specializing in fisheries conservation and sustainable use of freshwater resources. His research focuses on recreational and commercial fisheries in Canada, particularly in Lake Ontario and the St. Lawrence River, with a strong emphasis on walleye, black bass, and muskellunge populations. He also explores inland aquaculture in recirculation systems to support sustainable practices. Dr. Tufts collaborates with the Ontario Ministry of Natural Resources and Forestry (OMNRF) and Fisheries and Oceans Canada (DFO) through projects involving acoustic telemetry networks and tagging studies. His teaching includes a third/fourth-year lecture course in Fisheries Biology and a hands-on Fisheries Techniques course, emphasizing applied field methods. He oversees the Freshwater Fisheries Conservation Lab, which employs advanced technologies like pop-off data storage tags and hydroacoustics to study fish behavior and migration patterns. Graduate students in his lab gain experience in both conservation research and aquaculture development. Key research themes include fish physiology, spatial ecology, and angling impacts, with recent work highlighting migration repeatability in walleye and stress mitigation in tournament-caught Smallmouth Bass. Collaborations with adjunct professors Mark Ridgway (OMNRF) and Paul Blanchfield (DFO) strengthen applied conservation efforts. The lab actively engages anglers in tagging programs, offering rewards for recovered tags to enhance data collection.

• Chemical Engineering
• Materials Science
• Nanotechnology
• +۳ مورد دیگر

Prof. Robert Grass is a Lecturer at the Department of Chemistry and Applied Biosciences at ETH Zurich, affiliated with the Institute for Chemical and Bioengineering Sciences. His research focuses on innovative applications of nanotechnology, DNA-based storage systems, and sustainable catalytic processes for CO2 valorization. Grass has pioneered silica-encapsulated DNA technologies for traceability in healthcare, environmental monitoring, and anti-counterfeiting measures. His work bridges chemical engineering with information technology, addressing challenges in long-term data preservation and molecular-level security. Current projects include developing compostable DNA storage materials and designing catalysts for methanol synthesis from CO2, contributing to both environmental sustainability and energy systems. Grass's interdisciplinary approach integrates nanomaterials design, enzymatic processes, and machine learning to advance next-generation storage and sensing technologies. Research Interests: Development of DNA-based storage systems with error-correction mechanisms Nanoparticle engineering for medical and environmental applications Catalytic materials for CO2 conversion and green chemistry Bio-inspired security systems using molecular randomness Sustainable materials for long-term data preservation His recent work highlights advancements in silica-encapsulated DNA tracers for tracking pathogen transmission dynamics, as well as low-nuclearity catalysts enabling efficient methanol synthesis from CO2. Grass actively explores the intersection of nanotechnology and digital information, including cryptographic applications leveraging DNA's inherent complexity.

Masako Suzukiمشاهده پروفایل

استادیار

• Epigenetics
• Developmental Biology
• DNA Methylation
• +۴ مورد دیگر

Masako Suzuki is an Assistant Professor in the Department of Nutrition at Texas A&M University, affiliated with the College of Agriculture & Life Sciences. She is a member of Texas A&M AgriLife Research and leads the Suzuki Lab (website: suzukilab.org ). Her work focuses on epigenetic mechanisms in developmental biology, nutrition, and disease, with a strong emphasis on DNA methylation dynamics, gene regulation, and cellular differentiation. Research interests include: Epigenetic impacts of vitamins (A/D) on developmental pathways Cancer epigenetics and tumor progression Kidney development and fibrosis Sex-specific neuroepigenetic responses to stress Genetic/epigenetic interactions in health disparities Recent work highlights novel findings in: Long-term epigenetic effects of prenatal vitamin deficiency Smoking-induced methylome changes in lung progenitor cells Role of MLL3 tumor suppressor in breast cancer Liver cell composition alterations from vitamin A deficiency Her research employs integrative approaches combining: Epigenomic profiling (DNA methylation, chromatin accessibility) Single-cell sequencing technologies Animal models for developmental studies Clinical samples from patient cohorts Current projects investigate: Mechanisms of epigenetic reprogramming in stem cells Epigenetic biomarkers for kidney diseases Intergenerational effects of maternal nutrition

• Food Mycology
• Mycotoxins
• Fungal Spoilage
• +۱۱ مورد دیگر

Dr. Andrea Patriarca is a Senior Lecturer in Mycology at Cranfield University’s Centre for Soil, Agrifood and Biosciences, where she leads research on fungal spoilage and mycotoxin contamination in food. She previously served as an Associate Professor and Head of the Food Mycology research group at the University of Buenos Aires and as an Independent Researcher with CONICET. She has been a visiting scientist at institutions in Denmark, Spain, and the UK, and is a member of the Joint FAO/WHO Expert Committee on Food Additives (2023–2027). Her research focuses on food mycology , particularly the genus Alternaria and Fusarium , their taxonomy, ecophysiology, and mycotoxin production. She investigates fungal contamination in cereals and vegetables, the impact of climate change on mycotoxin accumulation, and the development of rapid detection methods and eco-friendly control strategies. Her work spans from field to fork, integrating polyphasic approaches combining molecular, taxonomic, and metabolomic data. Dr. Patriarca’s recent publications highlight trends in mycotoxin detection , fungal taxonomy , food safety in plant-based products , and biological control methods . Her research has strong industrial relevance, with collaborations involving General Mills, Unilever, Tetra Laval, and other major food companies. Fundación Carolina & Ministry of Education, Science and Technology (Argentina) grant (2010) CONICET Young Researchers External Fellowships (2011) Thalmann Program, University of Buenos Aires (2013) Ministry of Science, Technology and Productive Innovation (Argentina) grant (2014) Joint FAO/WHO Expert Committee on Food Additives expert roster (2023–2027) She supervises PhD students and leads projects such as FunShield4Med and Seed Microbiome Engineering, focusing on sustainable agriculture and foresight in fungal threats. Her advisory work includes consultancy for food industries on fungal spoilage and mycotoxin mitigation. She has contributed to books with Elsevier, Springer, and CRC Press and maintains active research networks including MYTOX-SOUTH.

Cai Kuiمشاهده پروفایل

دانشیار

• Coding Theory
• Communication Systems
• Information Theory
• +۳ مورد دیگر

Cai Kui is an Associate Professor at Singapore University of Technology and Design (SUTD) and the Programme Director of the SUTD Technology Entrepreneurship Programme (STEP). Her work focuses on coding theory, communication systems, and data storage technologies. She holds a joint PhD in Electrical Engineering from Technical University of Eindhoven and National University of Singapore, along with prior degrees from Shanghai Jiao Tong University and National University of Singapore. Research interests include advanced channel coding, signal processing for emerging storage systems (e.g., DNA storage, non-volatile memory), and machine learning applications. She leads multiple projects funded by A*STAR, Temasek Labs, and SUTD-MIT collaborations, addressing challenges in high-density storage and communication. Her awards include the 2024 ScholarGPS™ Top 0.05% Scholars, 2023 China Annual Symposium Best Poster, and multiple IEEE recognitions. She is an IEEE Senior Member and has served in leadership roles at IEEE conferences. Current openings include PhD scholarships and postdoc positions in coding for data storage systems. Key labs/teams include her research group focusing on FPGA implementations, DNA storage, and memory systems.

John H. Reifمشاهده پروفایل

استاد

• DNA Computing
• Molecular Assembly
• Robot Motion Planning
• +۴ مورد دیگر

John H. Reif is a Professor of Computer Science at Duke University, with secondary appointments in the Thomas Lord Department of Mechanical Engineering and Materials Science (since 2024) and the Department of Electrical and Computer Engineering (since 2016). His research spans DNA computing , molecular assembly , robot motion planning , and quantum computation , focusing on programmable biomolecular systems and parallel algorithms. Education: Ph.D. in Applied Mathematics, Harvard University (1977) M.S. in Applied Mathematics, Harvard University (1975) B.S. in Applied Mathematics and Computer Science, Tufts University (1973) His recent publications emphasize DNA strand displacement , molecular-scale learning systems , and 3D DNA nanostructures , with applications in diagnostics, data storage, and nanofabrication. Articles highlight innovations in error-resilient DNA circuits, programmable self-assembly, and algorithmic modeling of molecular processes. Scientific Awards: Fellow of the American Association for the Advancement of Science (AAAS) Fellow of the Association for Computing Machinery (ACM) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) He has supervised numerous Ph.D. students and postdoctoral researchers , including Rajiv Nagipogu (adaptive molecular systems) and Xin Song ( Daniel Fu , DNA computation on cell membranes). His work is funded by grants from the Defense Advanced Research Projects Agency (DARPA) and the National Science Foundation (NSF) , with recent focus on molecular-scale AI and DNA polymerase reaction networks. Reif co-founded Domus Diagnostics , developing affordable infectious disease testing solutions. He served as General CoChairman of FNANO24 and contributes to teaching courses like Computational Complexity and Molecular Assembly and Computation .

Elisha Kriegمشاهده پروفایل

استادیار

• DNA Nanotechnology
• Programmable Materials
• Biomaterials
• +۳ مورد دیگر

Dr. Elisha Krieg serves as Group Leader at the Leibniz Institute for Polymer Research Dresden and TUD Young Investigator at Dresden University of Technology, Germany. Her research pioneers programmable biomaterials using DNA nanotechnology for advanced biomedical applications, bridging synthetic polymer science with biological complexity. Her academic foundation includes: Ph.D. in Chemistry, Weizmann Institute of Science, Israel (2013) M.Sc. in Chemistry, Weizmann Institute of Science, Israel (2009) Vordiplom in Chemistry, University of Cologne, Germany (2006) Krieg's work centers on developing DNA-based nanomaterials that translate nanoscale programmability to macroscopic functional materials. Her group designs synthetic polymers functionalized with DNA modules to create reconfigurable platforms for diagnostics, tissue engineering, and nucleic acid purification. This approach leverages DNA's molecular precision to overcome limitations of conventional synthetic polymers, enabling dynamic biomaterials that respond to biological cues. Recent publications reveal a clear trajectory toward clinical translation, with 12 of 15 recent papers focusing on DNA-encoded hydrogels for cell culture matrices and nucleic acid diagnostics. The research spans fundamental supramolecular chemistry to applied biomedical engineering, emphasizing scalability and point-of-care compatibility. Key recognition includes: HFSP Postdoctoral Fellowship during Harvard tenure Krieg actively recruits MSc/PhD students through DIGS-BB and secures competitive funding including the TUD Young Investigator program. Her mentorship emphasizes interdisciplinary training in polymer chemistry, molecular biology, and nanomaterial characterization. Current grants support three core application areas: DNA/RNA purification for sequencing diagnostics, dynamic 3D cell culture matrices, and pathogen detection systems. The Krieg Group operates within the Max Bergmann Center of Biomaterials, utilizing advanced facilities for DNA nanotechnology, polymer synthesis, and nanomaterial characterization including cryo-EM and rheology.