جست‌وجوی استاد و پژوهشگر

• Lateral Gene Transfer
• Genomics
• Bacterial Pathogens
• +۳ مورد دیگر

Dr. Julie C. Dunning Hotopp is a Professor in the Department of Microbiology and Immunology at the University of Maryland School of Medicine. She is also a Member of the Institute for Genome Sciences and leads research on bacterial DNA integration into animal genomes, with implications for both evolutionary biology and human health. Primary Appointment : Microbiology and Immunology Additional Affiliation : Institute for Genome Sciences Research Overview : Dr. Dunning Hotopp's groundbreaking work focuses on lateral gene transfer (LGT) between bacteria and animals, notably documenting widespread LGT in invertebrates (Dunning Hotopp et al., 2007 Science ) and investigating bacterial DNA integration into human somatic genomes, particularly in cancer (2013 PLoS Comput Bio ). Her lab explores genomic interactions between pathogens like Wolbachia , Ehrlichia , Anaplasma , and Neisseria meningitidis and their hosts. Scientific Awards : 2010 NIH Director’s New Innovator Award 2010 Leading Women of Maryland (Maryland Daily Record) 2010 Genome Technology Young Investigator 2015 NIH Transformative Research Award Recent Publications examine bacterial integration in Drosophila ananassae , filarial nematodes, and human cancers, alongside developing bioinformatics tools for microbial comparative genomics. Labs & Teams : Her research group at the Institute for Genome Sciences investigates LGT mechanisms and pathogen-host genomics, with projects spanning computational genomics, transcriptomics, and public health implications.

• Genetics
• Evolutionary Biology
• Ecology
• +۳ مورد دیگر

Austin Burt is a Professor of Evolutionary Genetics at the Department of Life Sciences (Silwood Park), Imperial College London. His primary research focuses on developing genetic approaches to control disease vectors, particularly mosquitoes transmitting malaria in sub-Saharan Africa. He collaborates with Prof. Andrea Crisanti on gene drive systems in Anopheles gambiae mosquitoes and leads Target Malaria, a non-profit consortium advancing gene drive research for malaria elimination. His research integrates molecular biology, population genetics, and computational modelling to design self-limiting or localized genetic interventions. Key areas include gene drive mechanisms, population suppression strategies, and genomic analysis of mosquito populations. His work addresses challenges in effective malaria control while ensuring ecological safety. Burt's affiliations include the Georgina Mace Centre for the Living Planet and the Imperial College Network of Excellence in Malaria. His contributions span synthetic biology, evolutionary biology, and public health, emphasizing practical applications of genetic tools to global health challenges.

Andrea Crisantiمشاهده پروفایل

استاد

• Molecular Parasitology
• Gene Drive Technology
• Malaria Control
• +۷ مورد دیگر

Professor Andrea Crisanti is a leading academic in Molecular Parasitology at Imperial College London's Department of Life Sciences (Faculty of Natural Sciences). His research focuses on developing gene drive technologies to combat malaria by genetically modifying mosquitoes. His lab demonstrated CRISPR/Cas9-driven population suppression via targeting the doublesex gene, which disrupts female development and could eliminate malaria vectors. Recently, he coordinated the groundbreaking Vo' Euganeo study on early SARS-CoV-2 outbreak management, informing national and international pandemic strategies. Affiliations: Imperial College Network of Excellence in Malaria, Infection and Immunity, Vaccine Research Network Led the development of synthetic biology tools for vector control and agricultural pest management Co-developed Y chromosome-linked gene drives and anti-CRISPR safeguards Contributed to WHO-endorsed guidelines for mosquito containment facilities Research interests span molecular mechanisms of mosquito reproduction, gene drive evolution, and translational applications of synthetic biology in public health. His lab also engages in community outreach through exhibitions and school programs. Notable collaborations include: Target Malaria Consortium Italian Veneto Regional Health Task Force European Infravec2 initiative Laboratory infrastructure includes advanced molecular biology facilities and large-scale mosquito testing environments. Funded by major grants from Wellcome Trust, EU Horizon programs, and philanthropic organizations.

• Process Systems Engineering
• Sustainable Chemical Processes
• Environmental Engineering
• +۴ مورد دیگر

Professor Benoit Chachuat is a Professor of Process Systems Engineering in the Department of Chemical Engineering at Imperial College London, UK. He holds affiliations with the Centre for Process Systems Engineering, Industrial Biotechnology Hub, Institute for Molecular Science and Engineering, and Robotics Forum. His research focuses on developing computational methods for sustainable chemical and biological processes, integrating rigorous modeling, optimization, and data analysis to improve industrial processes. Key areas include process optimization, enviro-economic assessments, and advanced control strategies for bioreactors and energy systems. Prof. Chachuat's career includes roles as Senior Lecturer (2010–2015), Reader (2015–2020), and current Professorship (since 2020) at Imperial College. Prior to this, he held positions at McMaster University (2008–2010), EPFL (2005–2008), MIT (2003–2005), and INRIA (2002–2003). His educational background includes a Research and Teaching Assistantship at Lorraine Institute of Technology (1998–2002). His research interests span computational methods for process systems engineering, with emphasis on global optimization, robust control, and Bayesian estimation. Notable projects include enviro-economic assessments of bioenergy, waste-to-X technologies, and sustainable aviation fuels. His work bridges theoretical advancements with practical industrial applications, supported by software tools for method dissemination. Publications highlight contributions to modeling microalgae cultures, membrane contactors in natural gas processing, and vaccination campaign optimization. His enviro-economic analyses address carbon footprints and externalities in chemical processes, aiming for net-zero solutions. Current projects explore machine learning integration in industrial processes and resilience in biopharmaceutical supply chains. Prof. Chachuat collaborates with experimentalists and industry partners, addressing challenges in energy sustainability, circular economy, and pandemic response. His methodologies prioritize safety, economic viability, and environmental stewardship across chemical and biological systems.

Prasanga Samarasingheمشاهده پروفایل

دانشیار

• Audio and Acoustic Signal Processing
• Spatial Audio
• Microphone and Loudspeaker Array Processing
• +۷ مورد دیگر

Dr. Prasanga Samarasinghe is an Associate Professor at the Australian National University (ANU) within the College of Systems & Society. Her research focuses on spatial audio, acoustic signal processing, and drone audition. She holds a B.E. in Electrical and Electronic Engineering from the University of Peradeniya (2010) and a PhD in Signal Processing from ANU (2015). Key professional achievements include a 2022 Fulbright Fellowship at Yale University and the 2023 ARC DECRA Fellowship. She has secured significant funding through ARC Linkage, Discovery grants, and industry partnerships with Sony, Dolby, and META. Her industry experience includes roles at Dolby Laboratories and collaborations with defense-related entities like the Australian Signals Directorate. Research Groups: Joint supervisor of ANU Audio and Acoustic Signal Processing Group Professional Roles: Member of IEEE Signal Processing Society's Audio & Acoustic Signal Processing TC (2021–2023), former Chair of IEEE ACT Section's COMMS/SP Chapter (2018–2020) Her work bridges theoretical advancements in spatial audio with practical applications in noise cancellation, drone audition, and virtual acoustics. She actively supervises PhD and Honours students in these areas. Awards: Fulbright Fellowship (2022), ARC DECRA (2023) Industry Collaborations: Sony-Japan, Dolby (Sydney/USA), META (USA), Australian Defence Portfolio

Bruno Correiaمشاهده پروفایل

دانشیار

• Protein engineering
• Computational design
• Immunoengineering
• +۷ مورد دیگر

Bruno Correia is an Associate Professor at the Laboratory of Protein Design & Immunoengineering (LPDI) within the Institute of Bioengineering at École Polytechnique Fédérale de Lausanne (EPFL) , Switzerland. His work bridges computational protein design with experimental validation, focusing on immunoengineering applications for vaccines and cancer immunotherapy. PhD in Computational Biology (Universidade Nova de Lisboa, 2010) BSc in Chemistry (Universidade de Coimbra, 2004) Correia's research spans protein engineering , synthetic biology , and computational design , with key contributions in: Developing MaSIF for protein surface interaction analysis Designing chemically-controlled protein switches for CAR T-cell therapy Creating de novo functional proteins for vaccine development His publications highlight vaccinology , structural bioinformatics , and machine learning applications in protein science. Awards include the Protein Society Young Investigator Award (2021) and ERC Starting Grant (2016) . Scientific contributions: Protein surface fingerprinting for interaction prediction Rational immunogen design for HIV and hepatitis C Deep learning frameworks for protein structure generation

Nicholas Clarkمشاهده پروفایل

مدرس

• Ecological Forecasting
• Disease Ecology
• Statistical Modeling
• +۲ مورد دیگر

Nicholas Clark is an ARC DECRA Fellow and Lecturer at the School of Veterinary Science, University of Queensland, with affiliations to the Centre for Marine Science. His research focuses on computational tools for predicting ecological responses to environmental change, including host-parasite interactions, wildlife populations, and veterinary diseases. Education includes: B.Sc. Marine Ecology, University of North Carolina Wilmington Ph.D. Ecological Modelling, Griffith University Research interests center on ecological forecasting, automatic time-series analysis, macroecology of infectious diseases, and epidemiology at the human-wildlife interface. He maintains several R packages including MRFcov for Markov Random Fields and mvgam for multivariate generalized additive modeling. His recent publications show strong focus on disease ecology, statistical methods, and One Health approaches. Research impacts include media coverage of ecological forecasting advances and applications in conservation and biosecurity. Honors include an ARC DECRA Fellowship. He actively mentors students in ecological forecasting and computational biology methods.

Joel Carpenterمشاهده پروفایل

دانشیار

• Optical Communications
• Photonics
• Quantum Optics
• +۵ مورد دیگر

Associate Professor Joel Carpenter is an ARC Future Fellow in The University of Queensland's School of Electrical Engineering and Computer Science. His research focuses on manipulating and measuring spatial, polarization, spectral, and temporal properties of light, particularly through multimode fiber applications in optical telecommunications, biomedical imaging, quantum mechanics, and astronomy. He holds a PhD from the University of Cambridge and has held roles at The University of Sydney and industry positions. Education: Doctor of Philosophy (2009-2012), University of Cambridge, UK Master of Engineering (2007), University of Queensland, Australia Bachelor of Engineering (2002-2006) and Bachelor of Science (2002-2006), University of Queensland, Australia Research interests include spatiotemporal light fields, multimode fiber systems, spatial light modulation, and quantum optics. His work often employs spatial light modulators for beam shaping and control. Recent trends in his publications focus on high-dimensional quantum gates, multi-plane light conversion (MPLC), and ultra-high-speed optical transmission (e.g., 3.56 Peta-bit/s over 55-mode fibers). Awards: ARC Future Fellow Grants/Advising: His ARC Fellowship supports research into novel photonics systems. Advising details are not explicitly listed, but his work involves collaborations with students/postdocs in fiber optics and photonics. Key contributions include development of MPLC devices, spatial tomography techniques, and applications in free-space optical communication. His lab likely focuses on experimental photonics with state-of-the-art spatial light modulators and fiber characterization tools.

Gede Primahadi W. Rajegمشاهده پروفایل

پژوهشگر

• Cognitive Linguistics
• Construction Grammar
• Quantitative Corpus Linguistics
• +۷ مورد دیگر

Gede Primahadi W. Rajeg is a Postdoctoral Researcher at the University of Oxford's Faculty of Linguistics, Philology and Phonetics (2023–2025), concurrently serving as an Assistant Professor (asisten ahli) at Udayana University's Faculty of Humanities in Bali, Indonesia. His primary research focuses on Cognitive Linguistics, Construction Grammar, and Quantitative Corpus Linguistics, with recent emphasis on Austronesian linguistics, language documentation, and computational methods. He leads the CompLexico research group at Udayana University, specializing in computer-assisted lexicology and lexicography. Rajeg is a member of the Indonesian Young Academy of Sciences (ALMI) since 2023 and has contributed to international projects like the Enggano language documentation initiative, funded by the AHRC. His work integrates corpus linguistics, experimental methods, and open science practices, often using R for data analysis. He teaches Corpus Linguistics and Research Methods courses at Udayana University and has organized workshops on digital humanities and corpus-based research. Education: PhD in Linguistics and Applied Linguistics (Monash University, 2019), supported by Monash International Postgraduate Research Scholarship and Monash Graduate Scholarship. His thesis explored metaphors of happiness in Indonesian, supervised by Professors Alice Gaby and Simon Musgrave. Research Interests: Lexical semantics, grammatical constructions, cognitive semantics, Austronesian historical linguistics, computational lexicography, and open science infrastructure. He actively contributes to language preservation projects, such as creating Enggano dictionaries and digital resources. Grants & Projects: Enggano lexical resources project (AHRC AH/W007290/1), leading to community-oriented dictionaries and databases. Collaborates with institutions like Oxford's Sustainable Digital Scholarship initiative and the Indonesian Language Agency. Labs/Teams: CompLexico (Udayana University), Enggano Documentation Team (Oxford), and the Centre for Interdisciplinary Research on Humanities and Social Sciences (CIRHSS).

• Electric Machines
• Power Electronics
• Sensorless Control
• +۳ مورد دیگر

Paolo Guglielmi is a Full Professor at the Department of Energy (DENERG) of the Polytechnic University of Turin. His research focuses on electric machines, power electronics, sensorless control, and wireless power transfer, with an emphasis on sustainable energy systems and electric vehicle technologies. He is a member of the Interdepartmental Center PEIC (Power Electronics Innovation Center) and has held visiting researcher roles at institutions like École Nationale Supérieure d'Électronique (ENSEEIHT), France. Teaching: Courses in electrical engineering, electric vehicles, and machine design at undergraduate and graduate levels. Research Projects: Leads initiatives like NODES (Industry 4.0 for Sustainable Mobility) and COOL-X (Integrated Electric Drive Cooling), funded by PNRR Mission 4 and EU H2020 programs. Awards: Recipient of IEEE Industrial Power Conversion Systems Department Paper Prize (2010) and IDC Prize Paper (2011). Patents: Holder of patents including '3D Power Conversion' and 'Integrated Electric Drive with Cooling Device'. His work integrates power electronics with electromechanical systems to develop compact, reliable, and cost-effective solutions for electric drives and energy conversion, with applications in sustainable mobility and aerospace.

Stefano Menegattiمشاهده پروفایل

دانشیار

• Biomanufacturing
• Peptide-based affinity ligands
• Biopharmaceutical purification
• +۵ مورد دیگر

Stefano Menegatti is an Associate Professor and University Faculty Scholar in the Department of Chemical and Biomolecular Engineering at North Carolina State University (NC State). His research focuses on developing peptide-based technologies for biopharmaceutical purification, drug delivery systems, and advanced biomaterials. He holds a Ph.D. in Chemical Engineering from NC State (2013), and M.Sc. and B.Sc. degrees from the Università di Bologna (Italy). Menegatti’s work emphasizes stimuli-responsive peptide ligands for purifying labile biologics like stem cells and therapeutic proteins, as well as hydrogel systems for controlled drug release. His lab also develops transdermal delivery platforms for vaccines and explores biodegradable polymers for medical devices. He leads the Ligand Design & Biomanufacturing Group within the College of Engineering. Education: Ph.D., Chemical Engineering, NC State (2013) M.Sc., Chemical Engineering, Università di Bologna (2008) B.Sc., Chemical Engineering, Università di Bologna (2006) His research interests span biomanufacturing , viral vector purification , host-cell protein removal , and biodegradable materials . Recent advancements include adaptive machine learning frameworks for viral vector production and shear-responsive nanocoatings for biomedical applications. Awards: ACS BIOT Young Investigator Award (2025) NSF CAREER Award (2017) NCSU Chancellor’s Innovation Fund (2019) Menegatti collaborates with industry partners on process analytical technologies (PAT) and has pioneered peptide ligand systems for AAV, lentivirus, and adenovirus purification. His lab actively explores sustainable biomanufacturing strategies, including engineered microbes for PET plastic degradation.

• Functional Safety
• Safety Instrumented Systems (SIS)
• Cybersecurity in Industrial Systems
• +۵ مورد دیگر

Mary Ann Lundteigen is a Professor in instrumentation systems and safety at NTNU’s Department of Engineering Cybernetics, part of the Faculty of Information Technology and Electrical Engineering. She holds an MSc (1993) and PhD (2009) in Engineering Cybernetics from NTNU, with 15+ years of industry experience across Phillips Petroleum, Nidar AS, DNV, and SINTEF. She has led major research initiatives including SFI SUBPRO (2014–2023) and SFI Autoship (2019–2022), focusing on subsea production, autonomous ships, and cybersecurity for safety-critical systems. Her research emphasizes functional safety of industrial control systems, cybersecurity compliance with standards like IEC 62443, and the integration of AI in safety-critical environments. She leads projects such as APOS 2.0 (digital lifecycle management) and CyberBarrier Management, while supervising multiple PhD students and postdocs. Lundteigen co-authored over 100 publications and received the ExxonMobil Doctoral Prize (2009) for her thesis on SIS reliability. Professional roles include: Co-director of SFI SUBPRO Director of SFI Autoship’s initial phase Adjunct Professor at NTNU (2013) Member of IEC 61511 maintenance team and PDS forum organizing committee Current research focuses on: Cybersecurity threats to SIS AI applications in safety systems Digital twins for safety demonstration Industry 4.0 frameworks like OPC UA Her work bridges academia and industry, with active projects funded by the Norwegian Research Council and industrial partners like Equinor and DNV.

Chris Boneمشاهده پروفایل

دانشیار

• Geospatial technologies
• Spatial simulation modelling
• Human-environment interactions
• +۵ مورد دیگر

Dr. Chris Bone is an **Associate Professor in Geography** at the **University of Victoria**, affiliated with the **Faculty of Social Sciences**. His research focuses on geospatial technologies, spatial simulation modeling, and human-environment interactions, particularly in relation to climate change and forest policy. He holds a PhD from Simon Fraser University and teaches advanced spatial analysis and geostatistics (GEOG 418/518). **Research Interests**: Dr. Bone’s work integrates computational methods like agent-based modeling and network modeling to study climate-driven natural disturbances (e.g., mountain pine beetle outbreaks), wildfire management, and human-wildlife interactions. He emphasizes geovisualization tools for environmental decision-making and has collaborated with Indigenous communities on biocultural stewardship projects. **Publications**: His recent work explores topics such as wildfire-beetle interactions, grizzly bear translocation success, and the role of federal air quality standards in prescribed fire practices. Over 50 peer-reviewed articles span environmental science, GIS applications, and policy analysis. **Awards**: No specific scientific awards listed in the provided texts. **Grants & Labs**: Active in interdisciplinary projects funded by organizations like the National Science Foundation (NSF CNH). Leads research on geospatial tools for managing invasive species and optimizing forest governance networks.

Hsiao-Hsuan Wangمشاهده پروفایل

پژوهشگر ارشد

• System Ecology
• Ecological Modeling
• Environmental Management
• +۳ مورد دیگر

Hsiao-Hsuan 'Rose' Wang is a Senior Research Scientist at Texas A&M University's Department of Ecology and Conservation Biology, affiliated with the Ecological Systems Laboratory. She holds a Ph.D. in Forestry from Texas A&M University and academic degrees from National Taiwan University. Her primary roles include leading research on ecological modeling, managing the lab's Undergraduate Research Program since 2015, and editorial leadership as Editor-in-Chief of Ecological Modelling and Associate Editor of Biological Invasions and Plant Ecology . Dr. Wang's research focuses on developing analytical techniques to understand ecological processes across spatial and temporal scales, particularly in endangered species management, invasive species control, and disease vector management. She collaborates internationally with institutions like NIMBioS (US), SESYNC (US), and the Lorentz Center (Netherlands). Her work integrates socio-ecological systems, emphasizing cross-scale feedbacks and model validation frameworks. Her publications (2021-2025) address topics including agent-based modeling for estuary management, climate-driven species range shifts, and tick-borne disease dynamics. Key methodologies involve pattern-oriented modeling and scenario planning. She advocates for interdisciplinary approaches to ecological challenges, emphasizing practical conservation outcomes.

• Agent-Based Modeling
• Epidemiology
• Social Dynamics
• +۴ مورد دیگر

Joshua Epstein is a Professor of Epidemiology at the NYU School of Global Public Health and founding Director of the NYU Agent-Based Modeling Laboratory. He holds affiliated appointments at the Courant Institute of Mathematical Sciences and the College of Arts & Sciences. Previously, he served as Professor of Emergency Medicine at Johns Hopkins University and directed the Center for Advanced Modeling in Social, Behavioral, and Health Sciences. His work focuses on agent-based computational modeling to study complex social and biological systems, including infectious disease dynamics, urban disaster preparedness, and economic behavior. Education: BA from Amherst College PhD from Massachusetts Institute of Technology Research Interests: Epstein pioneers agent-based modeling (ABM) to simulate social norms, epidemiological spread, and cultural evolution. His methodologies have been applied to topics ranging from zika vector control to computational archaeology. Key contributions include frameworks for simulating population-level behaviors and their emergent societal patterns. Awards: NIH Director’s Pioneer Award (2008) Amherst College Honorary Doctorate (2010) Sigma Xi Membership (2018) Advising & Collaborations: Epstein leads interdisciplinary teams at NYU’s ABM Lab, collaborating with institutions like Brookings Institution and Johns Hopkins. His research pipelines integrate computational fluid dynamics with agent-based models for evacuation planning and public health crisis response. Labs & Teams: Directs NYU Agent-Based Modeling Lab, affiliated with global health and mathematical sciences initiatives. Active in policy design through OECD-NAEC collaborations and computational economics.