جست‌وجوی استاد و پژوهشگر

Luca Castelli Aleardiمشاهده پروفایل

استادیار

• Theoretical Computer Science
• Discrete Mathematics
• Computational Geometry
• +۸ مورد دیگر

Luca Castelli Aleardi is an Assistant Professor at the Laboratoire d'Informatique (LIX) of École Polytechnique, France, since September 2008. His research focuses on theoretical computer science, computational geometry, and discrete mathematics, particularly on Schnyder woods , graph drawing , and compact data structures for planar and surface-embedded graphs. PhD in Computer Science from École Polytechnique (2006) DEA in Algorithmique from Université Paris 6 (2003) Laurea in Applied Mathematics from University of Milan (2002) Erasmus exchange at Université de Versailles-St. Quentin (1999) His work spans graph encoding , mesh compression , and higher genus triangulations , with applications to data visualization, geometric algorithms, and network analysis. Recent publications in SoCG and GD emphasize practical implementations of theoretical constructs, such as toroidal Schnyder woods and SCARST data structures . He has supervised 15+ research internships (2008–2024) on topics including planar graph drawing and dynamic Laplacian systems . Software tools developed by his team include Jcg (Java library for computational geometry) and SCARST implementations.

John C. DiCesareمشاهده پروفایل

استاد

• Organic Chemistry
• Medicinal Chemistry
• Materials Chemistry
• +۷ مورد دیگر

John C. DiCesare is an Associate Department Chair and Professor in the Department of Chemistry at Georgia Southern University, with affiliations to the Center for Advanced Materials Science and the Sustainable Fuels Research Network. Previously, he served as Department Chair at Georgia Southern University and held roles at The University of Tulsa and Research Triangle Institute. Education: B.S. in Chemistry from University of Central Florida (1987) Ph.D. in Organic Chemistry from Georgia Institute of Technology (1992) Postdoctoral Fellowship in Medicinal Chemistry at Research Triangle Institute (1993) Dr. DiCesare's research spans three decades, focusing on Organic, Medicinal, and Materials Chemistry. His work includes synthesizing anti-cancer compounds, developing molecularly imprinted polymers for nerve agent detection, and creating TiO2/SiO2 catalysts for NASA's water purification systems. Current projects explore carbon nanotube functionalization and titanium reagents in asymmetric synthesis. Recent publications highlight interdisciplinary impacts in Polymer Science, Biochemistry, and Environmental Chemistry. Key trends include the development of visible-light photocatalysts, studies on bioluminescence inhibition, and novel educational resource initiatives in organic chemistry. Collaborations extend to Iowa State University and institutions across multiple scientific disciplines. Grants & Projects: NASA-funded environmental catalyst development Army-sponsored nerve agent sensor research Multiple industry software grants (CambridgeSoft, Teledyne Isco) Merck-funded biological metabolite analysis

Ambros Gleixnerمشاهده پروفایل

استاد

• Mathematical Optimization
• Operations Research
• Computational Mathematics
• +۷ مورد دیگر

Ambros Gleixner is a Professor at HTW Berlin since 2020 and an affiliated researcher at the Zuse Institute Berlin (ZIB) since 2008. His research focuses on computational aspects of mixed-integer linear and nonlinear programming, with emphasis on exact rational arithmetic and algorithm verification. PhD in Mathematics (2015), Technische Universität Berlin Diplom (MSc) in Mathematics (2008), Technische Universität Berlin Vordiplom (BSc) in Mathematics (2004), Universität Bayreuth His work spans mathematical optimization, operations research, and computational mathematics. At ZIB, he leads projects like developing the MINLP solver SCIP , the LP solver SoPlex , and verifying integer programming results through VIPR . Recent publications highlight advancements in exact rational MIP, GPU-parallel algorithms, and energy system optimization. Scientific Awards : MERIT Visiting Scholar at University of Melbourne (2013) Teaching : Offers bachelor's theses in optimization and computational mathematics. Requires students to have attended relevant seminars and possess programming skills. Office hours by email appointment through Ambros.Gleixner@HTW-Berlin.de . Labs & Teams : Principal investigator at ZIB's Mathematical Algorithmic Intelligence division, Research Campus MODAL , and Linear, Integer, and Constraint Programming project.

• Graph Neural Networks
• Geometric Deep Learning
• Representation Learning for Graphs
• +۵ مورد دیگر

Rex Ying is an Assistant Professor of Computer Science at Yale University, where he leads the Graph and Geometric Learning Lab. His research focuses on developing expressive, scalable, and explainable algorithms for graph-structured data through graph neural networks and geometric learning. His educational background includes: Ph.D. in Computer Science from Stanford University B.S. in Computer Science from Duke University Ying's research spans graph neural networks, geometric deep learning, and non-Euclidean foundation models. His work addresses the challenge of representing real-world data expressed as graphs, with applications in recommender systems, anomaly detection, social network analysis, protein networks, drug discovery, and physical simulations. He develops techniques that combine relational reasoning, multimodal learning, and foundation models to create efficient and scalable approaches for complex real-world data beyond just text and images. Analysis of his publication record shows a strong focus on advancing graph representation learning, with particular emphasis on hyperbolic geometry for hierarchical data, explainability of graph neural networks, and applications across diverse domains including biology, physics, and social sciences. His work demonstrates a consistent trajectory from theoretical foundations to practical implementations. His scientific achievements include: Baidu Scholarship 2019 Area Chair for LoG 2022 Conference Co-Lead of PyTorch Geometric Library for GNNs Lead organizer of SimDL Workshop at ICLR 2021 Blue Sky Best Paper Award at ACM KDD 2025 for RephQA Ying actively mentors students and researchers, seeking Ph.D. candidates passionate about pushing frontiers in GNNs and geometric deep learning. He has received funding including an NSF core program award on building foundation models for scientific discovery. His lab collaborates across disciplines, working on applications in biology, medicine, chemistry, physics, neuroscience, social networks, and supply chain. The Graph and Geometric Learning Lab focuses on three main research thrusts: Geometric and Graph Learning, Multimodal Foundation Models, and Trustworthy AI, with applications spanning multiple scientific domains.

• Queueing Theory
• Deadlock
• Discrete Event Simulation
• +۵ مورد دیگر

Geraint Palmer is a Welsh Medium Lecturer at Cardiff University's School of Mathematics, where he teaches mathematics courses primarily in Welsh. His academic journey includes a BSc in Mathematics from Aberystwyth University (2013), followed by an MSc in Operational Research and Applied Statistics (2014) and a PhD in Applied Stochastic Modelling (2018), both from Cardiff University. His educational background includes: BSc in Mathematics, Aberystwyth University (2013) MSc in Operational Research and Applied Statistics, Cardiff University (2014) PhD in Applied Stochastic Modelling, Cardiff University (2018) Dr. Palmer's research spans several interconnected areas within operational research and applied mathematics. His primary focus is on queueing theory and stochastic modeling , with applications in healthcare systems and emergency services. He has made significant contributions to discrete event simulation , notably through the development of the open-source Ciw library. Additionally, his work extends to Welsh language processing, where he has contributed to computational linguistics projects including Welsh word embeddings and stemmers. His interdisciplinary approach combines theoretical mathematical modeling with practical software implementation, often using Python and R. His recent publications demonstrate a strong trend toward applying operational research methods to healthcare challenges, particularly emergency services optimization. His work on ambulance fleet allocation, emergency care transformation, and orthopaedic care systems shows a consistent focus on improving healthcare delivery through mathematical modeling. Simultaneously, his research in Welsh language processing represents a unique interdisciplinary contribution at the intersection of mathematics, computer science, and linguistics. His publication record also highlights his commitment to open-source software development, with contributions to libraries like Ciw (for discrete event simulation) and GCol (for graph coloring). His scientific contributions include: Development of Ciw, an open-source discrete event simulation library Development of GCol, a high-performance Python library for graph coloring Contributions to Welsh language processing tools and resources Co-authorship of "Applied Mathematics with Open-Source Software: Operational Research Problems with Python and R" (2022) Dr. Palmer is actively involved in teaching mathematics at Cardiff University, delivering modules including Preliminary Mathematics II, Problem Solving, and Computational Methods. His bilingual capabilities enable him to provide Welsh-medium instruction, supporting linguistic diversity in higher education. His research projects often involve collaboration with healthcare professionals, operational research specialists, and language technologists, reflecting the interdisciplinary nature of his work. Notably, he has contributed to standardized Welsh language assessment tools, demonstrating his commitment to both academic research and practical community applications.

• Additive Manufacturing
• Materials Science
• Electron Beam Powder Bed Fusion
• +۴ مورد دیگر

Professor Carolin Körner serves as Head of the Chair WTM (Materials and Technology Management) at Friedrich Alexander University Erlangen-Nuremberg's Faculty of Engineering, Department of Materials Science and Engineering. She also holds significant leadership positions as Member of the control board of the Central Institute of New Materials and Processes (ZMP) in Fürth and Scientific head of the division Additive Manufacturing at New Materials Fürth, Ltd. Her research focuses on additive manufacturing technologies, particularly electron beam powder bed fusion (EB-PBF), with emphasis on process optimization, microstructure evolution, and development of advanced metallic materials. Her work spans fundamental process understanding to industrial applications, addressing challenges in thermal management, material development, and process control for high-performance components. She has pioneered approaches for in-situ alloying, complex geometry fabrication, and microstructure tailoring through innovative scanning strategies. Analysis of her recent publication record reveals consistent leadership in electron beam additive manufacturing research, with particular emphasis on process simulation, novel material development (including high-temperature alloys, copper-based systems, and shape memory alloys), and advanced characterization techniques. Her work demonstrates strong industry relevance while maintaining rigorous scientific foundations, with applications spanning aerospace, medical devices, and energy sectors. As Head of the Chair WTM, Professor Körner leads a substantial research team and collaborates extensively with industry partners. Her leadership extends to directing research initiatives at the Central Institute of New Materials and Processes, where she oversees significant resources for advanced manufacturing development. While specific grant details aren't provided in the source material, her extensive publication record and leadership roles indicate successful acquisition of substantial research funding. Professor Körner's laboratory infrastructure is closely tied to the Central Institute of New Materials and Processes in Fürth, which houses state-of-the-art electron beam powder bed fusion systems and complementary characterization equipment. Her research group forms part of a larger collaborative ecosystem focused on advancing additive manufacturing technologies from fundamental research to industrial implementation.

Josh Coonمشاهده پروفایل

استاد

• Mass Spectrometry
• Proteomics
• Metabolomics
• +۴ مورد دیگر

Josh Coon serves as Professor and Thomas and Margaret Pyle Chair in Metabolism within the Department of Chemistry at the University of Wisconsin-Madison's College of Letters & Science. He directs the NIGMS-funded National Center for Quantitative Biology of Complex Systems and leads Coon Laboratories, which focuses on advancing mass spectrometry technologies for proteome and metabolome analysis. His research bridges biomedical, biofuel, and biochemical applications through instrumental innovation. Coon's research interests center on mass spectrometry technology development , particularly for comprehensive proteome and metabolome analysis. His laboratory pioneers techniques like electron transfer dissociation (which he co-invented) and develops novel instrumentation configurations including Orbitrap systems. Current emphases include high-throughput quantitative proteomics, lipidomics, and metabolomics with applications spanning human health, biofuels, and fundamental biological discovery. The lab maintains close collaborations with Thermo Fisher Scientific for technology transfer and commercialization. His recent publications demonstrate leadership in Ultrafast proteome analysis (e.g., 'One-hour human proteome') Advanced separation techniques (SynchroSep-MS) Cryo-EM sample preparation innovations Multiplexed omics data integration Metabolic remodeling in stress responses Machine learning applications in proteomics These works consistently advance methodological capabilities while addressing biological questions in aging, exercise physiology, viral infection, and bioenergy. Coon has received significant recognition including the Biemann Medal from the American Society for Mass Spectrometry and the Ken Standing Award from the University of Manitoba. His laboratory has filed dozens of patent applications through WARF, leading to commercial products that impact laboratories worldwide. As an advisor, Coon has trained over 50 PhD graduates and postdoctoral scholars now working across academia and industry (including Thermo Fisher Scientific, Genentech, Harvard, and UCSF). His trainees consistently highlight the lab's collaborative environment, industry connections, and emphasis on both technical innovation and communication skills. Current funding supports multiple NIH grants and industry partnerships focused on quantitative biology.

• Semiconductor
• Electronics
• Nanotechnology
• +۳ مورد دیگر

Prof. Dr. Marius Grundmann is a faculty member at the University of Leipzig, serving as Dean of the Faculty of Physics and Earth System Sciences. His research focuses on semiconductor physics, nanotechnology, quantum computing, and thin films, with applications in electronics and optoelectronic materials. Specializations: Semiconductor, Electronics, Nanotechnology, Quantum Technology, Quantum Computers, Thin Films His recent work highlights advancements in semiconductor thin films , including epitaxial growth of ultrawide bandgap materials (e.g., γ-(Ga0.8Ge0.2)2O3, α-Ga2O3: Zr) and quantum computing systems. Techniques like pulsed laser deposition, magnetron sputtering, and spectroscopic ellipsometry are central to his studies. Key research themes include bandgap engineering , charge carrier dynamics, defect analysis, and heterostructure design. While no explicit awards, students, or grants are listed, his extensive publications underscore leadership in semiconductor materials and device fabrication.

Christopher Watersمشاهده پروفایل

استاد

• Bacterial Pathogenesis
• Chemical Signaling
• Immunotherapy
• +۳ مورد دیگر

Christopher Waters is a Professor in the Department of Microbiology and Molecular Genetics at Michigan State University. His research focuses on bacterial chemical signaling pathways, particularly cyclic di-GMP (c-di-GMP) regulation in Vibrio cholerae , and developing immunotherapies for cancer. He earned his Ph.D. from the University of Minnesota and completed postdoctoral training at Princeton University. Research interests include understanding how c-di-GMP mediates transitions between sessile biofilm and motile virulent states in pathogens. The Waters Lab also explores adenoviral delivery systems for cancer immunotherapy and bacterial phage defense mechanisms. Key projects involve biofilm heterogeneity, phenotypic segregation, and combinatorial control of biofilm development through quorum sensing and nutrient signaling. Recent articles highlight advancements in c-di-GMP signal transduction, biofilm plasticity, and novel antibacterial strategies. Collaborations include engineering hydrogels for biofilm inhibition and developing In vivo biofilm infection models. Current efforts emphasize translating basic discoveries into clinical applications for infectious disease and cancer treatment.

Andrew C. Adeyمشاهده پروفایل

استاد

• Single-Cell Epigenetics
• Sequencing Biotechnology
• Quantitative Oncology
• +۴ مورد دیگر

Dr. Andrew C. Adey is a Professor in the Department of Genome Sciences at Oregon Health & Science University (OHSU), leading the Adey Lab within the Knight Cancer Institute. His research focuses on developing innovative sequencing technologies and studying epigenetic regulation in health and disease. He completed his Ph.D. at the University of Washington under Jay Shendure, specializing in DNA sequencing and epigenetic analysis. Education: B.S., 2008, University of Texas Ph.D., 2014, University of Washington Research Interests: Single-cell epigenomics and chromatin accessibility profiling Development of scalable sequencing technologies (e.g., sciMET, sciATAC) Epigenetic mechanisms in cancer heterogeneity and tumor progression Integration of spatial genomics and multi-omics data Key Contributions: Pioneered transposase-based DNA library preparation and sciMET for single-cell methylation analysis Advanced haplotype-resolved genome analysis in aneuploid cells (e.g., HeLa) Led development of combinatorial indexing for high-throughput single-cell studies Awards: University of Washington Distinguished Dissertation Award (2014) Harold M. Weintraub Graduate Student Award (2014) ASHG Early-Career Award (2019) Lab Focus: Epigenetic drivers of cellular heterogeneity in cancer Single-cell technologies for precision medicine Collaborations in oncology and neuroscience (e.g., cerebral organoids)

Elizabeth Grossمشاهده پروفایل

استاد

• Algebraic Statistics
• Computational Algebraic Geometry
• Phylogenetics
• +۳ مورد دیگر

Elizabeth Gross is a Professor in the Department of Mathematics at the University of Hawaiʻi at Mānoa, joining in 2018. She holds a Ph.D. from the University of Illinois at Chicago (2013). Her research focuses on algebraic statistics, computational algebraic geometry, and their applications in phylogenetics and systems biology. She has led interdisciplinary projects such as the NSF-funded CAREER Grant (2020) to advance phylogenetic network analysis using algebraic methods. Her academic contributions span theoretical advancements in algebraic statistics, including work on model identifiability and steady-state analysis of chemical networks. She has also explored neural coding and information literacy in educational contexts, emphasizing collaboration between librarians and researchers in AI literacy initiatives. Key achievements include developing methodologies for phylogenetic network reconstruction, analyzing convex/non-convex neural codes, and advancing computational tools like Bertini for Macaulay2. Her work bridges pure mathematics with applied domains such as biology and social network analysis. Professional recognitions include the 2020 NSF CAREER Award. She actively participates in academic service, contributing to conference organization (e.g., Algebraic Statistics 2020) and maintaining a research group focused on algebraic approaches to interdisciplinary problems.

Willem-Jan Van Hoeveمشاهده پروفایل

استاد

• Operations Research
• Constraint Programming
• Integer Programming
• +۷ مورد دیگر

Willem-Jan Van Hoeve is the Carnegie Bosch Professor of Operations Research at the Tepper School of Business , Carnegie Mellon University . He also holds a courtesy appointment at the Heinz College, Carnegie Mellon University. His research focuses on methodologies in operations research , including mathematical optimization , constraint programming , decision diagrams , integer programming , and machine learning , with applications to network design , scheduling , vehicle routing , data mining , healthcare operations , and analytical marketing . He pioneered decision diagrams for optimization and developed the Decision Diagrams for Optimization research project with source code and benchmarks. His funded research includes National Science Foundation (2019-2024, 2011-2015), Office of Naval Research (2021-2024, 2018-2021), and Google Faculty Research Awards (2015, 2011). He has consulted for FedEx Ground, Exxon Mobil, PNC Bank, Bosch/Siemens, Charter Steel, and non-profit organizations. Academic Service and Leadership: Board of Directors, INFORMS Computing Society (2019-2021) Chairperson, INFORMS Student Competition Committee (2018-2020) Steering Committee, CPAIOR Conference Series Executive Committee, Association for Constraint Programming (2013-2016) Associate Editor roles at INFORMS Journal on Computing , Operations Research , and Artificial Intelligence Scientific Awards: INFORMS Computing Society Harvey J. Greenberg Research Award (2020) IISE Transactions Best Application Paper (2022) EJOR Best Paper Award (2019) Best paper award at CP Conference (2006) Best student paper award at CP Conference (2004) Key Academic Contributions: He has advised PhD students David Bergman, Andre Cire, Christian Tjandraatmadja, and others. His work includes co-authorship of the book Decision Diagrams for Optimization (Springer, 2016), and development of software like HADDOCK and Seq2Pat library.

• Biocatalysis
• Enzyme Engineering
• Sustainable Biotechnology
• +۳ مورد دیگر

Volker Sieber is a Professor at the Chair of Chemistry of Biogenic Raw Materials at the TUM Campus Straubing for Biotechnology and Sustainability, Technische Universität München (TUM). His research focuses on advancing biocatalytic processes, enzymatic cascade reactions, and sustainable biotechnology. Key areas include the engineering of enzymes for industrial applications, development of biorefinery concepts, and the production of biodegradable polymers. He leads interdisciplinary projects integrating microbial systems, polysaccharide chemistry, and green chemistry principles. His work emphasizes functional biohybrid materials, marine enzyme utilization, and the conversion of renewable resources into high-value chemicals. Recent advancements include optimizing enzyme stability under gas-liquid interfaces and enhancing microbial exopolysaccharide production for bioplastic replacements. Research trends reflected in his articles span biocatalytic synthesis of furan derivatives, high-throughput enzyme engineering, and biorefinery integration of cyanobacterial biomass. Collaborative efforts address automotive innovations, such as ergonomic seating systems and interior control algorithms, showcasing cross-disciplinary impact. His lab develops novel enzyme platforms (e.g., Pichia pastoris) and explores electrochemical CO₂ reduction pathways. Ongoing projects include functionalizing carrageenans through sulfatase modifications and designing cofactor-balanced enzyme cascades. Volker Sieber’s contributions bridge fundamental enzymology with industrial applications, aiming to transition biocatalytic processes from lab-scale to industrial implementation.

Milan Fowkesمشاهده پروفایل

پژوهشگر ارشد

• Peptide Chemistry
• Cellular Signalling
• Enzyme Kinetics
• +۳ مورد دیگر

Dr. Milan Fowkes is a Research Fellow at the University of Oxford’s Department of Biochemistry, based in the Centre for Medicines Discovery. He joined St Peter’s College as a Research Associate in 2021, supporting DPhil students in Medical Sciences. Holding an MChem from Warwick University and an MSc from Western University, he completed his DPhil in Molecular and Cellular Medicine at Oxford in 2021. His research focuses on discovering novel ligands for understudied enzymes to develop inhibitors for signaling pathway and disease analysis, contributing to the EU-led BOPEN consortium (www.eubopen.org). Previous work includes developing peptide-based imaging agents for prostate cancer and osteoarthritis, resulting in patents and publications. Key research interests span peptide chemistry, cellular signaling, enzyme kinetics, combinatorial chemistry, and molecular imaging. His current projects aim to identify enzyme-specific inhibitors and advance peptide-based diagnostic tools. Collaborating with pharmaceutical partners, his work bridges academic research and industry applications in drug discovery and medical imaging. Publications emphasize protease activity characterization, ligand development, and imaging agent design, reflecting his expertise in biochemistry and translational medicine. While no formal awards are listed, his contributions to EU consortium research highlight his impactful academic work. As a Postdoctoral Scientist and Research Associate, Fowkes advises DPhil students while maintaining an active role in grant-funded projects. His lab affiliations include the Oxford Department of Biochemistry and the Centre for Medicines Discovery, where interdisciplinary collaboration drives innovations in enzyme research and medical imaging technologies.

Marc Pfetschمشاهده پروفایل

استاد

• Discrete Optimization
• Mathematical Programming
• Operations Research
• +۳ مورد دیگر

Prof. Dr. Marc Pfetsch is a full professor of Discrete Optimization at the Technical University of Darmstadt, holding the W3 chair since 2012. He leads the Optimization Group within the Department of Mathematics and has served as Dean of the Department from October 2022 to September 2024. His research focuses on optimization methodologies, particularly in gas network modeling, discrete and mixed-integer programming, and computational algorithms. He is a core developer of the SCIP Optimization Suite, a leading solver for mixed-integer programming problems. Education : Mathematics studies at the University of Heidelberg (1992–1997) Operations Research at Cornell University (1997–1998, via Fulbright Scholarship) PhD in Mathematics from TU Berlin (2002) Habilitation in Computational Aspects of Combinatorial Optimization (2008) Research Interests : Discrete and combinatorial optimization Gas network optimization and resilience design Symmetry handling in mixed-integer programming Algorithm development for SCIP and optimization software Key Projects : Transregio/SFB 154: Mathematical Modeling, Simulation, and Optimization of Gas Networks SCIP Optimization Suite development Clean Circles: Iron as an energy carrier for climate-neutral systems Awards : EURO Excellence in Practice Award 2016 for "Evaluating Gas Network Capacities" Grants and Labs : Principal investigator in multiple DFG projects (e.g., SPP 2298, Matheon) BMWi-funded projects on flexible heating networks and resilient systems