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Prashant PandeyView profile

Assistant Professor

• Large-Scale Data Systems
• High-Performance Computing
• Computational Biology
• +3 more

Prashant Pandey is an Assistant Professor at Northeastern University's Khoury College of Computer Sciences, co-directing the Data Lab and affiliated with Berkeley Lab's Performance and Algorithms Research Group. He holds a PhD in Computer Science from Stony Brook University (2018), with prior postdoc research at UC Berkeley, LBL, and Carnegie Mellon University, and a year as a Research Scientist at VMware Research. His research focuses on scalable data systems with theoretical guarantees, spanning high-performance computing, computational biology, stream processing, and storage. Key projects include designing adaptive filters, GPU-accelerated data structures, and graph containers for skewed dynamic data. Recent talks include sessions on hash tables, B-trees, and graph frameworks at conferences in Bangalore, Las Vegas, and Santiago. Teaching includes courses like Advanced Database Systems and Data Structures for Scalable Computing. His work bridges systems and algorithms, emphasizing practical applications in bioinformatics and exascale computing. Awards and grants are not explicitly listed, but his contributions include foundational papers on filters, hash tables, and genomic data indexing. Ongoing efforts involve the Data Lab's exploration of high-performance filters for GPUs and collaborative projects like the BP-tree and Vector Quotient Filters. Students under his supervision focus on database systems, learned indexes, and external-memory joins.

Ting LeiView profile

Associate Professor

• Geographic Information Science
• Transportation Geography
• Remote Sensing
• +3 more

Ting Lei is an Associate Professor in the Department of Geography at the University of Kansas, located in Malott Hall #1021. His primary research interests focus on Geographic Information Science (GIS), including algorithmic development, geospatial computational methods, network analysis, location theory, and web GIS. He also explores remote sensing applications and advancements in GIS technology such as data structures, databases, computational geometry, and open-source software. His teaching covers GIS principles, transportation geography, and geo-computational methods. Dr. Lei's publications emphasize spatial data conflation, transportation network vulnerability, and optimization models for facility location. Recent works include studies on optimal spatial data matching, hub center interdiction problems, and unified location-allocation approaches integrating GIS and distributed computing. His research addresses real-world challenges in urban planning, water resources management, and celestial imaging analysis. Key research trends in his articles include computational GIS advancements, transportation infrastructure resilience, and interdisciplinary applications of geospatial technologies. No specific scientific awards are listed, though his extensive publication record highlights scholarly contribution. Advising and grants details are not provided in the text, but his active research in multiple geospatial domains indicates engagement with academic and applied projects.

• Network Science
• Cybersecurity
• Data Analysis
• +3 more

Matthew Roughan is a Professor and Interim Director of the Teletraffic Research Centre at the University of Adelaide. His research focuses on network science, cybersecurity, data analysis, and statistical modeling. He is affiliated with the University's academic community and contributes to both theoretical and applied research in these domains. His work spans diverse areas including satellite maneuver analysis, causal network discovery, entropy rate estimation, and protocol reverse-engineering. Recent projects highlight advancements in machine learning applications for space surveillance, robust causal network development, and optimization algorithms for multi-modal systems. Roughan's articles reflect a commitment to interdisciplinary approaches, blending mathematics, computer science, and domain-specific knowledge. Notably, his contributions to entropy theory, cybersecurity tool development, and space technology analysis underscore his impact in both academic and practical contexts. His work in Teletraffic Research Centre involves managing interdisciplinary projects and fostering innovation in network and data analysis methodologies.

• Life Cycle Assessment (LCA)
• Environmental Engineering
• Sustainability Assessment
• +4 more

René Itten is a Senior Lecturer and Senior Researcher at the Institute of Natural Resource Sciences , part of the Zurich University of Applied Sciences (ZHAW) School of Life Sciences and Facility Management . He holds a MSc and BSc in Environmental Engineering from ETH Zurich and a CAS in University Didactics from PHZH. His work focuses on: Advanced Life Cycle Assessment (LCA) Environmental impacts of renewable energy systems Digital transformation in sustainability Blockchain applications for supply chain transparency Biodiversity and resource footprint analysis He leads the Life Cycle Inventory Modelling and LCA Databases research group and teaches modules on Advanced Life Cycle Assessment and Sustainability Assessment . Recent projects include: NPower : Balancing nitrogen/phosphorus flows in regional budgets Multifuel SOFC system : Maritime energy sustainability Coffee Blockchain : Supply chain digitization BioVaR : Biodiversity risk assessment Secure Management Platform : Shared process resources His 15 most recent publications examine environmental implications of: High-altitude floating solar power systems Biodiversity impacts in battery mining Blockchain in coffee supply chains Photovoltaic thermal hybrids Multifunctional device sustainability Circular economy in biorefineries He has presented at international conferences including LCA FOOD, Life Cycle Innovation Conference, and LCM, with particular expertise in geospatial analytics and environmentally-extended input-output modeling.

• Bioinformatics
• Metagenomics
• Pathogen Discovery
• +4 more

Thomas Bigot is a researcher at the Bioinformatics and Biostatistics HUB of Institut Pasteur in Paris, France. He joined the institution in 2016 and is actively involved in the PAGE expertise group and maintains a privileged partnership with the Pathogen Discovery Laboratory. His work focuses on developing bioinformatics methods for pathogen detection from metagenomic data. Dr. Bigot holds a PhD in Bioinformatics (2013) from the University of Lyon, France, where his research focused on detecting topological patterns in phylogenetic trees. He also earned a Master's degree in Health and Populations with a specialization in Bioinformatics, Biostatistics, and Genome from Université Lyon 1 in 2009. His doctoral work led to the development of a formalism for describing tree patterns and a software suite for executing queries on thousands of phylogenetic trees. His research interests span bioinformatics, metagenomics, pathogen discovery, phylogenetics, and viral detection. As a developer proficient in Python and C++, he focuses on optimizing laboratory prototypes and creating user-friendly tools for non-specialized users. His work is particularly crucial in pandemic contexts and rapid diagnosis, enabling the referencing of pathogen sequences and identification of new pathogen-disease combinations. Analysis of his recent publications reveals a strong focus on viral detection through metagenomic approaches, particularly for emerging pathogens. His research spans multiple vector systems including ticks, mosquitoes, and bats, with applications in public health surveillance and understanding viral evolution. The 2023 publication 'Virus Pop' demonstrates his innovative approach to expanding viral databases through protein sequence simulation, addressing the 'dark matter' problem in metagenomics. Dr. Bigot actively contributes to the Bioinformatics program for PhD students at Institut Pasteur, having participated in courses from 2020 through 2024. His collaborative work spans multiple international research groups, reflecting the interdisciplinary nature of modern pathogen discovery research.

Liam SmeethView profile

Professor

• Clinical Epidemiology
• Electronic Health Records
• Disease Aetiology
• +4 more

Professor Liam Smeeth serves as the Director of the London School of Hygiene and Tropical Medicine (LSHTM) and holds a professorship in clinical epidemiology. He maintains an active clinical practice as a doctor in NHS general practice while leading one of the world's premier institutions for public and global health research. His leadership extends to co-chairing the BMJ Commission on the Future of the NHS and serving on the strategic oversight committee for UK Biobank. Professor Smeeth's research focuses on clinical epidemiology with particular emphasis on electronic health records, disease aetiology, drug effects, genetics, health and climate change, and non-communicable diseases in low income settings. He co-led the creation of the OpenSafely resource during the COVID-19 pandemic and helped establish the 100 million cohort in Brazil. His work bridges the gap between primary care data and large-scale epidemiological research, with significant contributions to understanding vaccine safety, chronic disease management, and pandemic response. His publications demonstrate a consistent trajectory from early work on vaccine safety (including the influential 2004 MMR study) to contemporary research on climate health impacts, diabetes in African populations, and ethnic disparities in COVID-19 outcomes. The OpenSAFELY platform represents a major methodological contribution to rapid pandemic research using routinely collected health data. Elected Fellow of the Academy of Medical Sciences Recipient of fellowships from MRC, NIHR and Wellcome Former Trustee of the British Heart Foundation Former non-executive director of the Medicines and Healthcare products Regulatory Agency Co-chair of the BMJ Commission on the Future of the NHS Professor Smeeth has been instrumental in establishing major research infrastructure including the Clinical Practice Research Datalink (CPRD) and OpenSAFELY platform. His work on the 100 million cohort in Brazil represents significant international collaboration in global health research. While specific grant details aren't provided in the text, his sustained research program supported by major UK funders indicates substantial research funding throughout his career.

• Logic
• Well Quasi Orders
• Verification
• +6 more

Sylvain Schmitz is a Professor of Computer Science at Université Paris Cité, affiliated with the IRIF institute. He leads the Automata and Applications team and contributes to modeling and verification research. Key Research Areas: Logic, Well Quasi Orders, Program Verification, Formal Languages, Database Theory Grants: ANR BraVAS (2017–2022), ANR PRODAQ (2015–2019), ANR ReacHard (2011–2014), ANR AVeriSS (2007–2009) His work focuses on the algorithmic complexity of well-quasi-orders, with applications to vector addition systems, Petri nets, and complexity hierarchies. He has delivered lectures on Algorithmic Aspects of WQO Theory (MPRI), Model-Checking Finite Structures (LMFI), and logic for the agrégation preparation. Recent publications analyze complexity bounds for vector addition systems and lossy counter machines, often leveraging ideal decompositions of well-quasi-orders. His 2024 ICALP paper with Lia Schütze addresses strongly monotone descending chains over ℕᵈ, while 2024 LICS work with Anand et al. explores unboundedness verification. Scientific Awards: IUF junior fellowship (2018–2023) He supervises PhD students Hector Buffière (2024–present), Aliaume Lopez (2019–2023), Anthony Lick (2016–2019), and Simon Halfon (2015–2018). He has served on steering committees for STACS (co-chair) and GT-Verif, and organized conferences like Highlights 2014.

Xinyu LeiView profile

Assistant Professor

• Distributed Computing
• Mobile Computing
• Data Science
• +6 more

Xinyu Lei is an Assistant Professor in the Department of Computer Science at Michigan Technological University (MTU) , where he joined in Fall 2021. He earned his PhD in Computer Science and Engineering from Michigan State University (MSU) , advised by Prof. Guan-Hua Tu. Prior to MTU, he worked as a Research Assistant at Texas A&M University at Qatar (2013) and a Research Intern at Ford Motor Company (2017). University: Michigan Technological University Department: Computer Science Academic Rank: Assistant Professor PhD Institution: Michigan State University His research focuses on distributed computing , mobile systems , data science , and trustworthy machine learning , with particular emphasis on privacy-preserving protocols for IoT and blockchain technologies. His publications span top venues like ACM MobiCom , IEEE TDSC , and IEEE TIFS , addressing vulnerabilities in cellular IoT, secure blockchain protocols, and federated learning systems. Recent work includes privacy-preserving federated learning in 2023 (TIFS), secure redactable blockchain (TDSC), and IoT data heterogeneity handling (IoT-J). Earlier contributions in 2020-2021 explored Wi-Fi security for smart homes (MobiSys), encrypted geodata queries (ICDE), and Bitcoin payment protocols (CODASPY). Research Grants: NSF CRII: CNS-2153393 ($175K, Sole-PI) Professional Activities: Program Committee: CVPR'24, INFOCOM'24 TPC: BigDataService'20, Workshop Mobicom'19 Dr. Lei teaches graduate and undergraduate courses in applied cryptography (CS 5090), network security (CS/EE 4723), and computer security (CS 4471/5471) at MTU. He also contributes to academic community service through program committee roles at conferences like CVPR, INFOCOM, and WSDM.

Željka TomasovićView profile

Associate Professor

• Digital Image Processing
• Signal Analysis
• NanoElectronics
• +4 more

Associate Professor Željka Tomasović holds a PhD and is affiliated with the Department of Information Sciences and Technologies at the University of Zadar. Her research focuses on digital image processing, signal analysis, nanoelectronics, optoelectronics, and time-frequency analysis. She teaches courses including Programming I, Digital Image Processing, and Database Design. Her scientific interests span from nanotechnology applications in electronics to advanced signal processing techniques, with recent work emphasizing IoT security, digital humanities, and entropy-based denoising algorithms. She has published extensively on topics like spectrogram analysis, medical electrode failure detection, and non-stationary signal processing. Professional activities include mentoring students in computer science disciplines and participating in international conferences such as SpliTech. Dr. Tomasović maintains an active research agenda with projects addressing open science frameworks, digital competence development, and advanced signal feature recognition methods.

David S. K. MagnusonView profile

Professor

• Spinal Cord Injury
• Locomotor Neuroscience
• Propriospinal Neurons
• +4 more

David S. K. Magnuson is the Friends for Michael Endowed Professor at the University of Louisville, holding joint appointments in Neurological Surgery, Anatomical Sciences & Neurobiology, and Biomedical Engineering. He leads the Magnuson Lab within the Kentucky Spinal Cord Injury Research Center (KSCIRC), focusing on spinal circuitry and translational strategies for spinal cord injury (SCI) recovery. His research investigates propriospinal neurons' role in locomotion, activity-based rehabilitation, and bioinformatics-driven SCI analysis. Research Interests: Neuronal circuits controlling locomotion Propriospinal neuron plasticity post-SCI Activity-based therapies (e.g., treadmill training, cycling) Spinal cord injury as a systemic syndrome Neurophysiological mechanisms of recovery Teaching: Teaches neurophysiology to first-year medical students, directs the Interdisciplinary Program in Translational Neuroscience (IPTN), and oversees graduate neuroscience courses. Lab personnel include Brandon Brown, Mary-Ellen DeHoff, and postdocs at institutions like Children’s Hospital of Philadelphia and Cleveland FES Center. Key Publications (2023): Focus on silencing propriospinal neurons to enhance hindlimb stepping post-injury, heterogeneous neuronal plasticity, and bioinformatics databases for SCI research. Collaborations include Drexel University and University College London. Labs/Teams: Leads the Magnuson Lab, contributing to KSCIRC's multi-disciplinary approach. Ongoing projects include spinal circuit modeling, exercise therapy efficacy, and spasticity management strategies.

Vance BairdView profile

Professor

• Environmental Stress in Plants
• Nuclear Genome Organization
• Gene Expression
• +3 more

Dr. Vance Baird is a Professor and Chairperson of the Department of Horticulture at Michigan State University (MSU), holding this position since July 2009. Previously, he served on the faculty at Clemson University for 20 years, where he earned accolades such as the Alumni Distinguished Professor title and multiple Faculty Excellence Awards. He holds a Ph.D. in Biology from the University of Virginia (1983), an M.S. in Botany from Miami University (1978), and a B.S. in Botany and Plant Pathology from Oregon State University (1976). His research focuses on environmental stress tolerance in horticultural crops, nuclear genome organization, and gene expression dynamics. Notable contributions include developing molecular genetic maps for Prunus species and creating plant transformation vectors. His work is funded by USDA, NSF, and international agencies, with over 50 peer-reviewed publications and multiple book contributions. As MSU's Department Chair, Dr. Baird strengthens ties between academia and industry, advocating for applied research and outreach. He leads initiatives through roles at the MSU Plant Biotechnology Resource and Outreach Center and the Institute of Agricultural Technology. Awards include the 2024 ASHS Outstanding Leadership Award and the Michigan Vegetable Council's Master Farmer Award. Education: Ph.D., University of Virginia; M.S., Miami University; B.S., Oregon State University Funding Sources: USDA, NSF, NATO, USGA Key Projects: Peach genome mapping, stress tolerance mechanisms, agronet applications in African agriculture

• Plant Virology
• Plant Health
• Virus Transmission
• +3 more

René van der Vlugt is a Professor and researcher at Wageningen University & Research, specializing in Biointeractions and Plant Health. With over 197 research outputs, he is a leading expert in plant virology and plant health management, holding the title prof.dr.ir. which indicates his professorship, doctorate, and engineering qualifications. His research spans multiple critical areas of plant health: Plant virus transmission mechanisms and pathways Molecular detection methods for plant viruses Management strategies for viral diseases in crops Seed certification and virus-free propagation Interactions between plant pests and viruses Development of diagnostic databases for plant health Dr. van der Vlugt's recent work has focused on creating advanced diagnostic tools and comprehensive databases, with significant contributions including the Plant Virus Transmissions Database (2024) and EPPO-Q-bank for plant pest diagnostics (2024). His research bridges fundamental virology with practical applications for agricultural sustainability, addressing emerging viral diseases in key crops like tomatoes, cucurbits, and potatoes. His scientific contributions demonstrate strong trends toward developing multiplex detection systems, creating comprehensive databases for plant health diagnostics, and implementing integrated management strategies for viral diseases. This work spans disciplines including molecular biology, agricultural science, bioinformatics, and epidemiology. Dr. van der Vlugt actively supervises PhD students and leads multiple research projects: Understanding and Responding to Aphid vectored Potato Virus Y (2024-) Chloroplast-based resistance to plant viruses (2023-) Monitoring and control of bee viruses in the Netherlands (2023-) Viruscollecties (fiche) project (2013-2026) H2020 VIRTIGATION project (2023-2024) His laboratory work focuses on molecular detection methods, virus transmission studies, and developing resistance strategies in crops. Dr. van der Vlugt collaborates extensively with researchers across Europe and contributes regularly to scientific conferences and media discussions on plant health issues.

• Bioinformatics
• Genomics
• Metagenomics
• +5 more

Sven Warris is a researcher at BIOS Applied Bioinformatics within Wageningen University & Research. His work spans bioinformatics, genomics, and microbiome studies, with a focus on developing computational tools for genomic and metagenomic data analysis. PhD in Bioinformatics (2013-2019), Wageningen University Research Interests: Bioinformatics tool development for high-throughput data Gut microbiome analysis in insects Symbiotic virus colonization in parasitoids Metagenomic approaches to disease-suppressive soils Scientific Contributions: Developed Pacasus for palindromic sequence correction Contributed to chromosomal assembly of parasitic wasp genomes Studied gut bacteria impact on arbovirus transmission Advancing functional amplicon sequencing methodologies Projects: Microservices to connect genetic maps to (pan)genomes (2019) Low-cost high-performance biocomputing (PhD project, 2013-2019)

• Fusarium pathogens
• Pectobacterium
• Plant disease resistance
• +5 more

Theo van der Lee is a Researcher at Wageningen University & Research specializing in Biointeractions and Plant Health . With over 254 research outputs and 20 datasets, he focuses on plant-pathogen interactions, particularly within Fusarium and Pectobacterium genera. His work spans molecular diagnostics, genome sequencing, and evolutionary analysis of plant diseases. Key research areas: Fusarium head blight, bacterial virulence, mitochondrial genomics Active projects: Wart disease control, maize stalk rot resistance, pangenome mining Major contributions include: Developing NGS-based diagnostic tools Unraveling evolutionary histories of plant pathogens Creating efficient target enrichment methods He has received international recognition including the 2007 Friendship Award from Liaoning Province for agricultural research contributions and frequently contributes to professional conferences on plant disease detection and resilience. Notable collaborations include: Dr. S. Aarts (plant genetics) Prof. Y. Bai (disease phenotyping) Dr. M. Duhamel (plant immunity)

• Business Analytics
• Machine Learning
• Econometrics
• +3 more

Dr. Georgi Nalbantov is a Lecturer at the Faculty of Economics, Sofia University (Burgas Branch), specializing in analytical solutions for forecasting models, cost-effectiveness, and quantitative modeling. His expertise spans business intelligence, databases, clinical outcome prediction, and advanced statistical methods like kernel techniques and survival analysis. His research focuses on Machine Learning and Data Analysis , particularly kernel methods (e.g., support vector machines), clustering, dimensionality reduction, and penalization/smoothing techniques. He has over a decade of experience in the financial, healthcare, pharmaceutical, marketing, and energy sectors. Previously, Georgi worked at Maastricht University's Computer Science Department, Maastro Clinic as a senior data analyst, and led research at a London-based hedge fund for six years. He earned his PhD in Econometrics from Erasmus University Rotterdam.