جست‌وجوی استاد و پژوهشگر

• Biorefineries
• Bio-based Materials
• Circular Economy
• +۵ مورد دیگر

André M. da Costa Lopes is an External Researcher in the Department of Chemistry at the University of Aveiro, Portugal. He holds a PhD in Sustainable Chemistry from the New University of Lisbon (2017), with a thesis on ionic liquids in biomass valorization. His research focuses on developing green technologies for biomass and lignin conversion using deep eutectic solvents and ionic liquids, contributing to biorefineries and circular economy initiatives. He is affiliated with CICECO-Aveiro Institute of Materials and CECOLAB, collaborating on projects like PROVIDES and BIOSURPLIER. Education: B.Sc. in Biotechnology (University of Aveiro, 2010) M.Sc. in Biotechnology (University of Aveiro, 2012) PhD in Sustainable Chemistry (New University of Lisbon, 2017) Research Interests: Lignin valorization, bio-based materials, sustainable solvents, biomass fractionation, circular economy, and biorefinery systems. His work emphasizes the use of alternative solvents to create value-added chemicals and materials from agricultural and industrial waste. Publications & Impact: Co-author of 33 peer-reviewed articles (h-index 17, >2100 citations), 5 book chapters, and 3 patents. Recent articles address lignin dissolution in deep eutectic solvents, biomass pretreatment strategies, and valorization of olive tree pruning. Awards & Projects: PI of the BIOSURPLIER project and co-investigator in PRIDES and BIOVINO. His research has contributed to CICECO’s recognition in global rankings, including Stanford’s 2024 List of the World’s Top 2% Scientists. Labs & Teams: Active in CICECO and CECOLAB, focusing on interdisciplinary collaborations in sustainable materials and green chemistry.

Emanuel V. Capelaمشاهده پروفایل

پژوهشگر

• Chemical Engineering
• Bioengineering
• Biotechnology
• +۷ مورد دیگر

Emanuel V. Capela is a Junior Researcher at the Department of Chemistry, University of Aveiro (Portugal), affiliated with CICECO – Aveiro Institute of Materials. He holds a PhD in Chemical Engineering (specialization in Bioengineering) from University of Aveiro and Instituto Superior Técnico, Lisbon. His research focuses on sustainable chemical processes, particularly aqueous biphasic systems, ionic liquids, and biopharmaceutical purification. Education: BSc Biochemistry (University of Aveiro, 2014) MSc Biochemistry (University of Aveiro, 2016) PhD Chemical Engineering (University of Aveiro/IST, 2022) Research Interests: Development of cost-effective biopharmaceutical processing Extraction of high-value compounds from biomass Synthesis of ionic liquids and deep eutectic solvents His work emphasizes sustainability, with applications in bioengineering and green chemistry. Awards: "Best student admitted in the Bachelor of Biochemistry" Award (2014) Best Poster Award (Conference) 1st Place in Young Researchers' Conference Contest ERC-funded research participation Advising & Grants: Supervising 2 PhD students and multiple interns/volunteers Contributed to 5 R&D projects, including an ERC grant Organizing committee member for international conferences Labs & Teams: Active in CICECO – Aveiro Institute of Materials and collaborates with FairJourney Biologics, S.A.

Susan Pascoeمشاهده پروفایل

دانشیار

• Land Law
• Human Rights in Property Disputes
• Disability Discrimination Law
• +۳ مورد دیگر

Dr. Susan Pascoe is an Associate Professor of Law and Director of Programmes in Law at Middlesex University's Faculty of Business and Law, within the Department of Law and Social Sciences. She oversees LLB, BA Law, and LLM programmes and has served as Acting Interim Head of Department (August 2023–February 2024). Her expertise spans Land Law, with research focusing on human rights in property disputes, disability discrimination, and comparative land law. Education: First Class Honours LLB from University College London (UCL), PhD in Trusts of Land from King's College London, and a Postgraduate Certificate in Higher Education. A solicitor by background, she maintains her solicitor status while contributing to legal academia. Teaching includes Land Law on LLB programmes and prior roles in Equity & Trusts, Business Law, and Legal Method. Research highlights include over 15 publications on topics like easements, leasehold reforms, and human rights in property contexts. She has presented at leading institutions including Oxford, Cambridge, and Queen’s University Belfast. Awards include Fellow of the Higher Education Academy and University Teaching Fellow (2009). Administrative leadership includes programme validation across Middlesex’s London, Dubai, and Mauritius campuses.

Alan Soperمشاهده پروفایل

مدرس ارشد

• Combinatorial Optimization
• Scheduling Theory
• Operations Research
• +۳ مورد دیگر

Dr Alan Soper is a Senior Lecturer at the University of Greenwich, affiliated with the School of Computing and Mathematical Sciences within the Faculty of Engineering and Science. His research focuses on combinatorial optimization, scheduling theory, and algorithm design, particularly exploring pre-emption effects on parallel machines and scheduling under time-changing conditions. He has contributed to transportation scheduling and computational algorithms for graph partitioning and drawing. Dr Soper holds a PhD from the University of Cambridge (1982), an MSc in Foundations of Advanced Information Technology from Imperial College London (1989), and a Mathematics MA. His career spans theoretical physics research (1978), industry work at Digital Equipment Corporation (1984–1988), and academic research in algorithms and optimization. He has presented work at conferences like ECCO, EURO, and INFORMS, and his research addresses applications in graph partitioning, vehicle routing, and nuclear fuel management systems. His recent publications analyze scheduling strategies on uniform and unrelated parallel machines, preemption efficiency, and cyclical optimization techniques. His work bridges theoretical foundations with applied computational challenges, emphasizing algorithmic innovation in operations research and combinatorial problems.

Gabor N Sarkozyمشاهده پروفایل

استاد

• Graph Theory
• Discrete Mathematics
• Theoretical Computer Science
• +۳ مورد دیگر

Gabor N Sarkozy is a Professor in the Department of Computer Science at Worcester Polytechnic Institute (WPI). He holds a PhD from Rutgers University (1994) and completed a postdoc at the University of Pennsylvania (1994-1996). His research focuses on graph theory, discrete mathematics, and theoretical computer science, particularly the structure of large graphs and Ramsey-type problems. Education: BS, Eötvös University (1990); MS, PhD, Rutgers University (1994); Postdoc, University of Pennsylvania (1994-1996) His scholarly work spans over 100 publications, with notable collaborations with Endre Szemerédi, János Komlós, and András Gyárfás. Key contributions include algorithmic applications of the Blow-up Lemma, monochromatic cycle partitions, and advancements in Ramsey theory for hypergraphs and planar graphs. Professional highlights include the Good Teaching Award (1995) and the Doctor of the Hungarian Academy of Sciences (2009). He founded the Budapest Project Center, WPI's first project center in Eastern Europe, and remains actively engaged in educational data mining projects. Scientific Awards Good Teaching Award, 1995 Doctor of the Hungarian Academy of Sciences, 2009 His research trends over the past two decades show a transition from classical Ramsey theory and graph decomposition (1995-2010) to interdisciplinary applications in time series analysis and educational data mining (2011-2024), while maintaining core contributions to combinatorial graph theory. Advising and grants are not explicitly detailed in the provided texts, though his collaborative nature is evident through extensive co-authorships. He maintains active research groups at WPI and the Rényi Institute, with ongoing projects in Ramsey-type problems and algorithmic applications.

Nils Volkenbornمشاهده پروفایل

دانشیار

• Sediment Biogeochemistry
• Benthic Ecology
• Coastal Ecosystems
• +۳ مورد دیگر

Nils Volkenborn is an Associate Professor at the School of Marine and Atmospheric Sciences (SoMAS), Stony Brook University, NY. He holds a Doctor of Science from the University of Bremen, Germany (2005). His research focuses on sediment biogeochemistry, benthic ecology, and animal-sediment interactions in coastal ecosystems. Key research areas include bioturbation impacts on sediment processes, organismal responses to environmental stress, and wastewater remediation technologies. He collaborates with Stony Brook’s Center for Clean Water Technology on nitrogen removal systems. His lab develops advanced sensor technologies to study benthic fluxes and bioirrigation dynamics in real-time. Publications emphasize interdisciplinary approaches to understanding coastal sediment dynamics, including iron cycling, greenhouse gas mitigation, and climate change impacts on marine invertebrates. His work bridges field observations, numerical modeling, and experimental studies to address ecological and biogeochemical questions. Volkenborn’s contributions include pioneering methods for quantifying bioirrigation effects and advancing knowledge on how benthic organisms mediate ecosystem processes. His lab actively engages in coastal sustainability projects, combining fundamental research with applied environmental solutions.

Kasey Bartonمشاهده پروفایل

استاد

• Plant Functional Ecology
• Island Plant Diversity
• Stress Tolerance in Plants
• +۳ مورد دیگر

Dr. Kasey Barton is a Professor in the School of Life Sciences at the University of Hawaiʻi at Mānoa. Her research focuses on plant functional ecology, particularly in island ecosystems, examining plant tolerance to stressors such as herbivory, drought, fire, and salinity. She employs a trait-based approach and emphasizes ontogenetic shifts in trait expression to understand plant survival strategies. A central theme of her work is comparing native Hawaiian plants to continental species to uncover unique island plant syndromes and inform conservation efforts. Dr. Barton’s lab actively investigates plant defense mechanisms, species interactions, and the impacts of environmental change on biodiversity. Her research spans experimental, observational, and synthetic methods, with a focus on native Hawaiian flora. Notable contributions include studies on island fire tolerance, seed salinity tolerance, and the role of intraspecific trait variation in ecological processes. She collaborates widely, contributing to global initiatives like the OpenNahele database for Hawaiian forest plots. Dr. Barton mentors students and supports undergraduate research, as highlighted in recent institutional recognitions. Labs/Teams: Barton Lab focuses on plant functional ecology and conservation biology, emphasizing island systems. Key collaborations involve researchers in botany, ecology, and environmental science.

• Extremal Combinatorics
• Probabilistic Combinatorics
• Discrete Probability
• +۶ مورد دیگر

Patrick Morris is a postdoctoral researcher in the GAPCOMB group at Universitat Politècnica de Catalunya (UPC) in Barcelona, funded by a Marie Curie fellowship. He holds a PhD in Combinatorics and Graph Theory from Freie Universität Berlin (2021), a Master's from the same institution, and a 4-year MSci from the University of Bristol. His research focuses on Extremal and Probabilistic Combinatorics with applications to Discrete Probability, Number Theory, and Algebraic Group Theory. Notably, his work on canonical Ramsey theorems earned a Best Paper Award at LAGOS 2023. His studies often explore structural properties of graphs and hypergraphs under random perturbations, with emphasis on Hamiltonicity, bootstrap percolation, and transversal problems. Collaborations include projects with Prof. Guillem Perarnau and Prof. Tibor Szabó, yielding impactful results in combinatorial theory. Education: PhD in Mathematics (2021), Freie Universität Berlin Master's in Combinatorics & Graph Theory (Freie Universität Berlin) MSci in Mathematics (University of Bristol, 2015) Research Interests: Extremal Combinatorics Probabilistic Combinatorics Bootstrap Percolation Hypergraph Theory Random Graphs Ramsey-Turán Theory Key Contributions: Over 15 peer-reviewed papers in top journals (e.g., Random Structures & Algorithms , Journal of Combinatorial Theory ), with focus on Hamilton cycles, clique factors, and canonical Ramsey-type theorems. His work bridges combinatorial structure and probabilistic methods, often addressing open problems in graph theory.

Istvan Tomonمشاهده پروفایل

دانشیار

• Discrete Mathematics
• Extremal and Probabilistic Combinatorics
• Geometry

Istvan Tomon is an Associate Professor in the Department of Mathematics and Mathematical Statistics at Umeå University in Sweden. His research focuses on discrete mathematics, extremal and probabilistic combinatorics, and geometry. He leads research in combinatorial structures and graph theory, with recent work exploring hereditary families, symmetric chain decompositions, and Zarankiewicz problems. His publications demonstrate broad expertise in combinatorial optimization, hypergraph theory, and geometric combinatorics. Recent articles show consistent focus on extremal problems in set systems, matrix combinatorics, and incidence geometry.

Natalya Pya Arnqvistمشاهده پروفایل

دانشیار

• Statistical Regression Modelling
• Functional Data Analysis
• Shape Preserving Smoothing
• +۷ مورد دیگر

Natalya Pya Arnqvist is an Associate Professor in Mathematical Statistics at Umeå University, Sweden. She is affiliated with the Department of Mathematics and Mathematical Statistics and has active roles in research groups focused on Functional Data Analysis, Semiparametric Regression, and Statistical Learning for Spatio-Temporal Data. Her career includes prior positions at Nazarbayev University (2015-2020), University of Bath (2011-2015), and KIMEP University (2000-2005). Education : PhD in Statistics (University of Bath, UK, 2007-2010), CSc in Physical and Mathematical Sciences (Institute for Mathematics, Kazakhstan, 2000-2005). Her research centers on statistical regression modelling and functional data analysis , with significant contributions to shape constrained additive models (SCAMs) and model-based functional clustering . She has developed R packages such as scam , fdaMocca , and nilde for these methodologies. Recent publications highlight applications in applied demography , defect detection , and nonlinear state space modeling , reflecting her focus on bridging statistical theory with industrial and ecological challenges. She teaches undergraduate and graduate courses in probability, regression, and statistical learning.

• Environmental Chemistry
• Analytical Chemistry
• Environmental Toxicology
• +۳ مورد دیگر

Zachary Redman, Ph.D., is an Assistant Professor in the Department of Chemistry at the University of Alaska Anchorage. His research focuses on applying modern analytical chemistry techniques to study environmental processes, particularly in high-latitude ecosystems. He teaches courses in general and analytical chemistry, including CHEM A105, A106, A218, and A418. Education: Ph.D. in Agricultural and Environmental Chemistry (University of California, Davis) and B.S. in Chemistry with a minor in Environmental Toxicology (University of California, Davis). Research interests include: Photochemical degradation mechanisms of sub-Arctic aquatic contaminants Hydrocarbon oxidation products in oil spills Glacier recession impacts on dissolved organic matter Microplastics in Arctic/Sub-Arctic environments Publications (2025–2016) highlight work on pesticide degradation, crude oil photochemistry, and herbicide mobility in Alaskan ecosystems. He leads the ASET Lab, focusing on analytical workflows, instrumentation maintenance, and training researchers. Teaching emphasizes hands-on laboratory experiments, including pesticide analysis methods and chemical instrumentation.

Sogol Jahanbekamمشاهده پروفایل

دانشیار

• Extremal Graph Theory
• Structural Graph Theory
• Algorithms in Graph Theory
• +۴ مورد دیگر

Sogol Jahanbekam is an Associate Professor in the Department of Mathematics and Statistics at San José State University (SJSU), affiliated with the College of Science. She specializes in graph theory and combinatorics, with a focus on extremal, structural, and algorithmic aspects of graph theory. Her research includes probabilistic methods in combinatorics and algebraic approaches to graph problems. Education: She holds a Ph.D. in Mathematics from the University of Illinois at Urbana-Champaign (2013), advised by Douglas B. West; an M.S. in Mathematics from Sharif University of Technology (2008), advised by Saieed Akbari; and a B.S. in Applied Mathematics from Shiraz University (2006). Research interests span extremal graph theory, structural properties of graphs, algorithm design for graph problems, and applications of combinatorial methods to engineering design challenges. Her work bridges theoretical advancements with practical applications, such as graph coloring techniques for optimizing manufacturing systems and additive manufacturing processes. Publications highlight contributions to dynamic graph coloring, antimagic labeling, and graph partitioning. Recent work explores applications of graph theory to design flexibility and physical integration problems in engineering. Her collaborative projects include NSF-funded research on improving additive manufacturing through graph-based design concepts. Awards: No awards explicitly mentioned in provided texts. Teaching: She has taught undergraduate and graduate courses in discrete mathematics, graph theory, linear algebra, and combinatorics at SJSU, RIT, and the University of Colorado Denver. Courses include MATH 129A (Linear Algebra), MATH 179 (Graph Theory), and MATH 42 (Discrete Mathematics). Labs/Teams: Active in interdisciplinary collaborations between mathematics and engineering, particularly in applying combinatorial methods to design optimization problems.

• Microbial ecology
• Molecular ecology
• Fungal diversity
• +۵ مورد دیگر

Dr. Julia Moll is a Scientist at the Department of Soil Ecology, Helmholtz Centre for Environmental Research - UFZ (UFZ) in Halle/Saale, Germany. She currently holds a Temporary Position for Principal Investigator (DFG SPP 1374) at UFZ since March 2023, following her postdoctoral position from August 2018 to February 2023. Her research is situated within the Ecosystems of the Future research unit, focusing on soil microbial ecology and decomposition processes. Dr. Moll earned her PhD in the Department for Soil Ecology at the Helmholtz Centre for Environmental Research - UFZ, with her thesis titled "Fungi in an arable soil: Resource-related community dynamics, contribution to belowground food web and carbon flow." Prior to her PhD, she completed her Diploma thesis at the Freie Universität Berlin with a major in ecology and minors in microbiology and zoology. Her research focuses on microbial communities and their contribution to ecosystem processes , particularly examining how land use change and management intensities affect these communities. She employs advanced molecular techniques including Next Generation Sequencing (NGS), Metabarcoding, and qPCR to study fungal, bacterial, and nematode diversity in soil and deadwood ecosystems. Her work bridges the gap between molecular ecology and ecosystem functioning, with particular emphasis on decomposition processes in forest ecosystems. Dr. Moll's publication record demonstrates a strong focus on deadwood decomposition ecology and the microbial communities associated with this process. Her research spans multiple tree species and examines spatial and temporal patterns in microbial communities. She has made significant contributions to understanding the relationships between fungi, bacteria, and nematodes in deadwood ecosystems, as well as developing molecular methods for studying these complex communities. As a scientist at UFZ, Dr. Moll contributes to several major research projects including the Biodiversity Exploratories: BELongDead (Multitrophic Functional Diversity and Fungal Functional Diversity). Her current work examines fungal fruiting bodies and wood sampling in long-term deadwood experiments, continuing her longstanding interest in the role of fungi in carbon cycling and decomposition processes. Dr. Moll is actively involved in mentoring students and welcomes those interested in molecular-ecological research for final theses, internships, and student assistant positions. Her laboratory work combines field sampling with advanced molecular techniques to unravel the complex interactions within soil and deadwood ecosystems.

Prosenjit Boseمشاهده پروفایل

استاد

• Computational Geometry
• Algorithms
• Data Structures
• +۲ مورد دیگر

Prosenjit Bose is Chancellor's Professor in the School of Computer Science at Carleton University and Associate Dean of Research and International for the Faculty of Science. He holds PhD and MMath degrees from McGill University and University of Waterloo. Research specializes in computational geometry, graph algorithms, and geometric data structures. Core focuses: Geometric spanners and routing Online algorithms Graph embeddings Approximation methods Recipient of Carleton Research Achievement Award (2021), Premier's Research Excellence Award (2006), and multiple best paper awards. Directs the Computational Geometry Lab and has supervised 100+ graduate students. Served as NSERC Leader for Carleton University. Research applications include network routing, VLSI design, and geographic information systems.

• Network Security
• Cybersecurity
• Cloud Computing Security
• +۴ مورد دیگر

Martine Bellaïche is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. With a B.Sc., M.Sc., and Ph.D. from Montreal, she has established herself as a leading researcher in network security and cybersecurity. She is affiliated with the Mobile Computing and Networking Research Laboratory (LARIM), where she contributes to cutting-edge research in communications systems, networks, and algorithms. Dr. Bellaïche's research spans multiple critical areas of modern cybersecurity, with particular focus on network security, prevention and detection of attacks, performance evaluation of defense systems, and defense against Denial of Service (DDoS) attacks. Her work extends to specialized domains including sensor network security, vehicular network security, cloud computing security, and Internet of Things security. Her research approach often combines theoretical foundations with practical applications, addressing real-world security challenges across various technological domains. Analysis of her recent publications reveals a strong trend toward AI-driven security solutions, particularly using deep learning and federated learning approaches for intrusion detection in IoT environments. Her work increasingly addresses emerging security challenges in blockchain technology, metaverse applications, and industrial IoT systems, demonstrating adaptability to evolving technological landscapes while maintaining focus on fundamental security principles. Supervised 5 PhD students to completion, including Alfalqi (2022), Alghamdi (2022), Abusitta (2018), Halabi (2018), and Benbrahim (2016) Mentored 6 Master's students, with research spanning DDoS detection, VANET security, and graph coloring algorithms Active participant in multiple research grants, including Discovery Grants from Polytechnique Montréal Dr. Bellaïche teaches several foundational computer science courses including procedural programming, object-oriented programming, microcomputer architecture, and data structures and algorithms, bridging theoretical knowledge with practical security applications in her teaching.