جست‌وجوی استاد و پژوهشگر

Darshika G. Pereraمشاهده پروفایل

استادیار

• Computer Engineering
• FPGA-Based Hardware Acceleration
• Neuromorphic Computing
• +۵ مورد دیگر

Darshika G. Perera is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Colorado Colorado Springs (UCCS). Her research focuses on FPGA-based hardware acceleration, neuromorphic computing, and embedded systems optimization with applications in machine learning, cryptography, and battery management systems. She holds a PhD and has extensive experience in designing reconfigurable architectures for compute-intensive tasks. Her work bridges theoretical algorithms with practical hardware implementations, emphasizing efficiency and real-time performance. Key research areas include FPGA design methodologies, neuromorphic hardware for AI applications, and embedded systems security. She has published widely on topics such as hardware-software co-design for edge computing, optimization algorithms for genomics, and blockchain applications in healthcare IoT. Her contributions also span data mining hardware accelerators and dynamic reconfiguration techniques for cryptographic systems. Dr. Perera’s work is characterized by interdisciplinary collaborations, combining principles from electrical engineering, computer science, and applied mathematics. She is committed to advancing next-generation edge-computing platforms through innovative architectures and methodologies.

• Wireless Communications
• Internet of Things (IoT)
• Optimization
• +۷ مورد دیگر

Dr. Khoa Phan is a Senior Lecturer in the Department of Computer Science and Information Technology at La Trobe University, Australia. He holds an ARC DECRA Senior Research Fellowship (2020-2023) and has held prior positions at UCLA, Monash University, and others. His academic background includes a B.Eng. (UNSW), two M.Sc. degrees (University of Alberta and Caltech), and a Ph.D. in Electrical Engineering from McGill University. Dr. Phan's research focuses on optimizing next-generation communication networks, particularly in wireless communications, IoT, satellite systems, and machine learning applications. He has secured significant grants, including ARC Discovery Projects and industry partnerships. His work emphasizes secure cyber-physical systems, federated learning, and edge computing. He has received prestigious awards such as the ARC DECRA and Atwood Fellowship. His research spans over 100 publications, with contributions to areas like OTFS modulation, secure satellite communications, and graph-based anomaly detection. He actively supervises PhD students and collaborates internationally, including initiatives to strengthen ties between La Trobe University and Vietnamese institutions. Grants include ARC Discovery Projects (totaling $1.3M+), CRC SmartSAT, and industry scholarships. His work addresses energy efficiency, secure resource allocation, and AI-driven solutions for 5G/6G networks and the metaverse.

Michael Reimerمشاهده پروفایل

دانشیار

• Quantum Optics
• Quantum Photonics
• Semiconductor Nanowires
• +۳ مورد دیگر

Michael Reimer is an Associate Professor at the University of Waterloo, affiliated with the Institute for Quantum Computing (IQC). His primary role involves advancing quantum photonic technologies through experimental and theoretical research. He is a full-time faculty member with expertise in semiconductor nanowire-based devices, quantum dot systems, and their integration with atomic ensembles for quantum communication applications. His research interests focus on developing high-efficiency single-photon sources and detectors, metamaterials for photonic applications, and leveraging cold atoms in hollow-core fibers to enhance quantum state manipulation. He also explores hybrid quantum-classical systems, particularly in optimizing signal-to-noise ratios (SNR) and mitigating nonlinear impairments in optical networks. His work bridges fundamental quantum optics with practical implementations in quantum computing and secure communication systems. Recent articles highlight trends toward achieving near-unity absorption in metamaterials, on-demand photon generation with quantum dots, and probabilistic constellation shaping for optical networks. While no scientific awards are explicitly mentioned, his contributions to quantum photonic devices are notable. No specific grants or advisees are detailed in the provided text, but his affiliation with IQC suggests involvement in collaborative research projects. He is affiliated with the Institute for Quantum Computing, a leading academic unit at the University of Waterloo.

• Distributed Systems
• Edge Computing
• Serverless Computing
• +۴ مورد دیگر

Stefan Nastic is an Assistant Professor at the Technische Universität Wien (TU Wien), affiliated with the Faculty of Informatics and the Distributed Systems department. He serves as Curriculum Coordinator for the Master’s program in Distributed and Next Generation Computing, and is a Substitute Member of the Curriculum Commission for Informatics. His research focuses on distributed systems, edge computing, serverless computing, IoT, and smart cities. He holds a PhD in IoT cloud systems (2016) and a BSc (not explicitly stated). Key research contributions include frameworks for serverless edge-cloud continuum (e.g., HyperDrive, GoldFish), federated learning applications (e.g., adaptive human activity recognition), and IoT infrastructure governance (e.g., Polaris Scheduler). He leads projects like RapidREC (2023–2025) on supply chain optimization and participates in initiatives like TEADAL (2022–2025) for edge-cloud workflows. Publications span 30+ peer-reviewed articles in top venues like IEEE IoT, ACM, and IEEE Cloud. He supervises graduate students on stateful serverless functions, federated learning, and edge-cloud scheduling. His work addresses challenges in resource management, latency reduction, and scalable distributed systems.

Griffin Davisمشاهده پروفایل

پژوهشگر ارشد

• Mycology
• Plant Pathology

Griffin Davis serves as a Research Fellow at the University of Arizona, where she is deeply engaged with the Gilbertson Mycological Herbarium (located in Marley 804). Concurrently, she is advancing his academic career by pursuing a Master of Science in Plant Pathology at the same institution, supported by the prestigious BRIDGES NRT Fellowship which fosters interdisciplinary research training in biological systems. Davis has built a robust educational foundation through a Bachelor of Science in Earth and Space Exploration with a concentration in Geological Sciences and a minor in Astronomy, both completed at Arizona State University. His current graduate trajectory represents a strategic pivot from planetary sciences to biological disciplines, specifically targeting plant-fungal interactions and disease mechanisms. Research Interests: Griffin's scholarly focus centers on Mycology and Plant Pathology, leveraging the extensive specimen collections of the Gilbertson Mycological Herbarium. His unique interdisciplinary perspective—forged through geological sciences and astronomy training—enables innovative approaches to understanding fungal biodiversity, host-pathogen dynamics, and environmental impacts on plant health. This cross-domain expertise positions him to address complex challenges in agricultural sustainability and ecosystem resilience. Awards and Recognition: The BRIDGES NRT Fellowship constitutes his primary scholarly accolade, reflecting NSF's investment in training next-generation researchers capable of bridging biological and physical sciences. This competitive fellowship provides comprehensive support for advanced methodology development and collaborative projects. Professional Activities: As a current graduate researcher and fellowship recipient, Davis is not listed as advising any students. However, his active herbarium involvement and fellowship participation indicate emerging leadership potential in collaborative research networks. The BRIDGES program specifically cultivates mentorship skills through interdisciplinary team projects. Laboratory Affiliation: Davis contributes significantly to the Gilbertson Mycological Herbarium at the University of Arizona—a critical resource for fungal taxonomy, biodiversity documentation, and disease diagnostics. His work supports the herbarium's dual mission of preserving specimen collections and advancing research on economically significant plant pathogens.

Çiğdem Kayaمشاهده پروفایل

استاد

• Historical, Cultural, and Social Context of Design
• Theory and Methodology in Industrial Design
• Product Design
• +۵ مورد دیگر

Prof. Dr. Çiğdem Kaya is a distinguished academic at Istanbul Technical University's Faculty of Architecture, Department of Industrial Product Design. She has held significant roles such as Department Chair (2024–present) and Dean of the Department of Industrial Design. Her research focuses on the historical, cultural, and social contexts of design, theory and methodology in industrial design, and product design innovation. Kaya has led numerous research projects, including studies on sustainable design practices, maker cultures, and design education. She has been awarded the ODTÜ Prof.Dr. Mustafa Parlar Foundation Research Incentive Award (2020) and is a member of Marie Curie Alumni Association and the Design Research Society. Education: She earned her PhD in Industrial Product Design from Istanbul Technical University (2011) and holds master's and bachelor's degrees in Industrial Design from the same institution. Her academic journey includes international research experiences, such as a visiting scholar at Sheffield Hallam University (2009–2010). Research Interests: Kaya explores intersections between design and culture, sustainability, and collaborative practices. Notable projects include investigations into craft knowledge transfer, maker ecologies, and the impact of remote collaboration during the pandemic. Her work bridges theoretical frameworks with practical applications, emphasizing socially responsible design. Grants & Projects: She has secured funding for projects like 'Afet Sonrası İyileşme Sürecinde Sürdürülebilir Sosyal Girişimcilik' (2023) and 'Trans-making' (EU Horizon 2020), focusing on placemaking and cultural democratization. Over 20+ research outputs span journals like Futures , Design Issues , and Journal of Consumer Behaviour . Labs/Teams: Kaya leads design studios and collaborative research teams, fostering innovation in product design and educational methodologies. Her supervision of over 15 graduate theses highlights her commitment to mentoring next-generation designers.

Sergiy Vorobyovمشاهده پروفایل

استاد

• Optimization
• Signal Processing
• Multi-Linear Algebra
• +۹ مورد دیگر

Sergiy Vorobyov is a Professor at the Department of Signal Processing and Acoustics , Aalto University , Finland. He has held academic and research positions at multiple institutions, including the University of Alberta (Canada), Kharkiv National University of Radio Electronics (Ukraine), RIKEN (Japan), McMaster University (Canada), Duisburg-Essen University and Darmstadt University of Technology (Germany), and Heriot-Watt University (UK). His expertise spans optimization, signal processing, and multi-antenna systems. Dr. Vorobyov holds a Doctoral degree in Natural Sciences from the National Technical University Kharkiv Polytechnical Institute, awarded on January 15, 2002. His research interests focus on optimization and multi-linear algebra applied to signal processing challenges, including statistical and array signal processing, sparse signal processing, estimation and detection theory, and sampling theory. He explores multi-antenna, large-scale, cooperative, and cognitive systems, contributing to advancements in wireless communications and radar engineering. His work aligns with UN Sustainable Development Goals, emphasizing education and innovation. In recent years (2025), his publications emphasize cutting-edge advancements in wireless communications and signal processing. Topics include millimeter-wave MIMO channel estimation, optimization algorithms with momentum-based techniques, vehicular network communications, and robust covariance matrix estimation in challenging noise environments. These contributions highlight his expertise in developing efficient and adaptive methods for modern communication systems. He has received prestigious awards, including: 2004 IEEE Signal Processing Society Best Paper Award 2007 Alberta Ingenuity New Faculty Award 2011 Carl Zeiss Award for teaching and innovative methods 2012 NSERC Discovery Accelerator Award 1st Price Best Paper Award (2015) 1st Price Best Student Paper Award at CAMSAP 2015 As a researcher, Vorobyov has supervised seven theses and led multiple funded projects, such as: AI Based RAN (2023–2025): Scalable AI solutions for 5G/6G networks. MASSIVE AND SPARSE ANTENNA ARRAY PROCESSING FOR MILLIMETERWAVE COMMUNICATIONS (2019–2021): Advanced antenna design and processing techniques. M-CUBE SPA (2017–2021): EU-funded sparse antenna array research. Transmit beamspace for active compressive sensing and communication with multiple waveforms (2016–2020): Radar and MIMO system optimization. He leads the Sergiy Vorobyov Group , focusing on real-time signal processing algorithms and their applications in next-generation wireless systems. His research addresses practical challenges such as efficient channel estimation, robust detection in massive access scenarios, and improving network performance in urban environments.

Arturo Azcorra Saloñaمشاهده پروفایل

استاد

• Multi-access Edge Computing
• Network Function Virtualization
• 5G networks and services
• +۳ مورد دیگر

Arturo Azcorra Saloña is a Full Professor at Universidad Carlos III de Madrid and the founder & Director of IMDEA Networks Institute. He has held leadership roles in technology transfer, including Director General positions at CDTI and the Spanish Ministry of Science and Innovation. Education: M.Sc. in Telecommunications Engineering (1986) and PhD in Telecommunications (1989) from UPM, MBA with honors from Instituto de Empresa (1993) Research interests focus on Multi-access Edge Computing , Network Function Virtualization , and 5G networks , with significant contributions to Software Defined Networks and Smart connectivity systems . His publications span wireless networking, vehicular networks, and formal methods, with high-impact papers on 802.11 protocols, 5G architecture, and vehicular mobility optimization. Scientific awards: Elected Chairman of Networld2020 ETP, Special University award for extraordinary merits (2002), National PhD prize (1990), Best graduating student prize (1986) Research management includes coordinating EU projects like 5G-TRANSFORMER, 5G-CROSSHAUL, and networks of excellence such as CONTENT and E-NEXT. He co-founded the ACM CoNEXT conference and contributes to European 5G PPP initiatives.

• Computational Mechanics
• Granular Materials
• Machine Learning in Physics-Based Simulations
• +۷ مورد دیگر

H. Cheng is a researcher at the University of Twente, affiliated with the Faculty of Engineering Technology and the Department of Mechanics of Solids, Surfaces and Systems. He plays a central role in several interdisciplinary research projects focused on computational modeling of granular materials, geohazards, and machine learning integration in physics-based simulations. His research centers on advancing numerical methods such as the Discrete Element Method (DEM) and developing machine learning surrogates for efficient uncertainty quantification in complex systems. Key project areas include offshore infrastructure resilience under climate change (POSEIDON), dynamic fault slip in induced seismicity (FastSlip), upscaling particulate systems for industrial applications (TUSAIL), and automated segmentation of soil-root systems using micro-CT imaging (UNSAT). H. Cheng leads and supervises multiple early-career researchers across EU-funded initiatives, including MSCA Doctoral Networks and COST Actions. He is the main applicant and supervisor in the GrainLearning project, which integrates Bayesian inference with physics-based models to improve simulation accuracy and efficiency. His scientific contributions span collaborative research across academia and industry, with a strong emphasis on open science, reproducibility, and cross-sectoral training. He contributes to community-building through initiatives like ON-DEM, promoting best practices in particle-based simulations. Supervisor of multiple PhD students and postdoctoral researchers Daily supervisor in POSEIDON, FastSlip, TUSAIL, UNSAT Vice-lead of Working Group 1 in ON-DEM COST Action Main applicant and project lead for GrainLearning H. Cheng is actively involved in training the next generation of computational scientists and engineers, with a focus on interdisciplinary methodologies that bridge mechanics, data science, and industrial applications.

• Medical Oncology
• Breast Cancer
• Circulating Tumor Cells
• +۹ مورد دیگر

John Martens is a Full Professor in the Department of Medical Oncology at Erasmus MC, a leading academic medical center in the Netherlands. His research is highly active and internationally recognized, focusing on key areas in cancer biology and translational oncology. Academic Rank: Professor Institution: Erasmus MC Department: Medical Oncology His research interests are deeply rooted in understanding the molecular mechanisms of cancer progression and therapy resistance. Key areas include breast cancer , circulating tumor cells (CTCs) , circulating tumor DNA (ctDNA) , cell-free DNA , genomics , and molecular biomarkers . His work bridges fundamental science and clinical applications, aiming to improve cancer diagnosis and treatment. The most recent publications highlight innovative approaches in cancer research, such as developing protocols for mapping virus integration sites in therapy-resistant genes, using label-free microscale technologies to isolate heterogeneous CTCs, characterizing inflammatory breast cancer at the molecular level, identifying biomarkers for metastatic urothelial cancer, and exploring bispecific antibody-mediated immunotherapy. These studies reflect a strong interdisciplinary focus combining oncology , genomics , nanotechnology , and immunology . John Martens has a prolific publication record with over 376 research outputs, including articles, reviews, and a doctoral thesis. His work is frequently cited and has attracted attention on academic platforms such as Mendeley and peer review sites. He has supervised 22 research works, indicating a strong commitment to mentoring the next generation of scientists and clinicians. Scientific Contributions and Recognition: Extensive research in breast and prostate cancer Leader in ctDNA and CTC research Pioneer in molecular characterization of therapy resistance Active in immunotherapy development Contributor to national and international collaborative networks He actively collaborates across borders and disciplines, contributing to clinical trials and translational research. While no specific awards or grants are listed in the provided text, his high research output and leadership position suggest significant recognition in the oncology community. He leads or contributes to major research initiatives such as the INFLAME registry study and develops novel diagnostic and therapeutic strategies. His lab likely focuses on liquid biopsy technologies, tumor microenvironment interactions, and precision oncology.

• Policy Evaluation
• Empirical Economics
• Education Economics
• +۱۲ مورد دیگر

Dinand Webbink is a Full Professor of Policy Evaluation at the Erasmus School of Economics, Erasmus University. He is actively engaged in empirical economic research with a focus on assessing the impact of public policies in education, labor, health, and crime. He holds fellowships at the Tinbergen Institute and IZA Bonn, and is an academic partner at the Netherlands Bureau of Economic Policy Analysis (CPB), highlighting his national and international recognition. His research interests span a wide range of topics in applied microeconomics and econometrics. Key areas include policy evaluation using causal inference methods, education reform, labor market dynamics, health economics, and socioeconomic inequality. His methodological expertise includes difference-in-differences, fixed effects modeling, and analysis of large-scale survey and administrative data. His work frequently contributes to evidence-based policymaking and aligns with several UN Sustainable Development Goals, particularly those related to quality education and reduced inequalities. The most recent articles highlight his ongoing contributions to pressing policy debates—such as the shift from grants to income-contingent loans in Dutch higher education, the behavioral economics of happiness and altruism in sports contexts, and the effects of forced school attendance on student outcomes. His publications appear in leading journals like the Journal of Applied Econometrics , Economics of Education Review , and Scandinavian Journal of Economics , indicating sustained scholarly impact. Scientific Honors and Affiliations: Fellow, Tinbergen Institute Fellow, IZA Bonn Academic Partner, Netherlands Bureau of Economic Policy Analysis (CPB) Webbink has supervised 15 academic works, reflecting his commitment to mentoring the next generation of economists. Although specific grant details are not listed, his affiliations with CPB and Tinbergen Institute suggest involvement in major research initiatives and policy advisory roles. He has also contributed datasets to public repositories, supporting open science and reproducibility in empirical economics. He is associated with research groups and networks including the Tinbergen Institute, IZA, and CPB, which serve as collaborative hubs for economic research in Europe. These affiliations enable interdisciplinary and policy-relevant research with real-world impact.

Anthony Rizzoمشاهده پروفایل

استادیار

• Integrated photonics
• Quantum photonics
• Neuromorphic photonics
• +۴ مورد دیگر

Anthony Rizzo is an Assistant Professor of Engineering at Dartmouth College, leading the Rizzo Integrated Photonic Systems Laboratory. His research focuses on integrated photonics, quantum photonics, and neuromorphic photonics, with applications in high-speed data communication, quantum computing, and energy-efficient systems. He holds a PhD in Electrical Engineering from Columbia University (2022), an MS from Columbia (2019), and a BS in Physics from Haverford College (2017). His work has been funded by organizations such as the Toyota Research Institute and the U.S. Army Research Laboratory. Key research areas include silicon photonics for ultra-low energy optical interconnects, photonic-electronic integration, and novel photonic materials like aluminum nitride. Notable achievements include the first demonstration of a Kerr comb-driven silicon photonic link and advancements in 3D photonic integration for terabit-scale data links. His lab explores applications in quantum sensing, neuromorphic computing, and visible wavelength photonics for atomic systems. Funding Sources: Toyota Research Institute, U.S. Army Research Laboratory, Thayer School of Engineering, AIM Photonics Courses Taught: ENGS 23 (Distributed Systems and Fields), ENGS 60 (Solid-State Electronic Devices) Recent publications highlight breakthroughs in ultra-low loss waveguides, scalable photonic linear neurons, and energy-efficient modulators. His work bridges fundamental photonics research with practical applications in next-generation communication and computing systems.

• Communication and Information Theories
• Wireless Communications
• Energy-Efficient Wireless Networks
• +۱ مورد دیگر

Dr. Nghi Tran is a Professor in the Department of Electrical and Computer Engineering at the University of Akron's College of Engineering. His research focuses on communication and information theories, wireless communications, energy-efficient wireless networks, and security. He has published over 160 papers and served as an editor for multiple IEEE journals. Education: Ph.D. in Electrical & Computer Engineering (University of Saskatchewan, 2008) Education: M.Sc. in Electrical & Computer Engineering (University of Saskatchewan, 2004) Education: B.Sc. in Electrical Engineering (Hanoi University of Technology, 2002) Dr. Tran's research spans wireless communication systems, with special emphasis on physical layer security, energy-efficient networks, full-duplex technologies, and channel coding. His work bridges theoretical foundations with practical implementations in next-generation wireless systems. His recent publications (2023-2025) demonstrate expertise in physical layer security, full-duplex antenna design, polar codes for GNSS, and machine learning applications in MIMO systems. Key trends include optimization of wireless networks, robust error correction, and cross-layer security approaches. Scientific Awards: NSERC Postdoctoral Fellowship Professional Recognition: IEEE Senior Member As an ABET coordinator for ECE and frequent journal editor, Dr. Tran contributes to academic leadership. His research has received funding from the US National Science Foundation, Office of Naval Research, Air Force Research Laboratory, and industry partners.

• Hydroinformatics
• Watershed Hydrology
• Surface Water Quality
• +۸ مورد دیگر

Jeffery Horsburgh is a Professor in the Department of Civil and Environmental Engineering and the Utah Water Research Laboratory at Utah State University, where he conducts research and teaches in hydroinformatics, GIS, and environmental data systems. He is affiliated with the College of Engineering and actively contributes to advancing cyberinfrastructure for hydrologic science. His educational background includes a PhD (2009), MS (2001), and BS (1999), all in Civil and Environmental Engineering from Utah State University. Horsburgh's research focuses on watershed hydrology, surface water quality, environmental sensor networks, data models, and cyberinfrastructure for environmental observations. He leverages GIS for data analysis and develops modeling techniques for hydrologic and water quality prediction. His work emphasizes open, reproducible science and data interoperability. His recent publications highlight a strong trend in hydroinformatics, with emphasis on open data platforms (e.g., HydroShare), sensor data integration, metadata standards, and reproducible modeling. The articles span topics from edge computing in smart water meters to national-scale hydrologic modeling frameworks. Outstanding Researcher, USU CEE, 2024 Reproducibility Author Award, 2023 Outstanding Teacher, USU CEE, 2019 Early Career Excellence Award, iEMSs, 2014 Outstanding Reviewer Award, Environmental Modelling & Software, 2014 Horsburgh has mentored over a dozen graduate students in civil and environmental engineering, focusing on hydroinformatics and water systems. He leads multiple research projects funded by federal and state agencies, including HydroShare, I-GUIDE, and Logan River Observatory. He is also involved in developing open-source software for environmental data management and has contributed to national standards for hydrologic data sharing. He leads or participates in key research initiatives such as the Logan River Observatory, HydroShare, and the Critical Zone Collaborative Network, emphasizing interdisciplinary collaboration, real-time data integration, and next-generation water infrastructure.

Laura Knollمشاهده پروفایل

استاد

• Medical Microbiology
• Immunology
• Parasitology
• +۱۴ مورد دیگر

Laura Knoll is a Professor in the Department of Medical Microbiology and Immunology at the University of Wisconsin–Madison, School of Medicine and Public Health. Her research focuses on the molecular mechanisms of protozoan parasite pathogenesis, particularly Toxoplasma gondii , Cryptosporidium parvum , and Entamoeba histolytica . She leads a dynamic research laboratory that employs cutting-edge technologies including next-generation sequencing, mass spectrometry, multi-omics, and organoid models. B.A. in Chemistry and Biology, Saint Olaf College (1989) Ph.D., Washington University School of Medicine (1994) Postdoctoral Research, Stanford University Dr. Knoll's research spans several key areas: host-pathogen interactions, chronic infection mechanisms, microbial metabolism, and the role of host immune genes such as IFN-γ and ZBP1 in infection outcomes. Her lab has pioneered the use of organoids to study parasite development and has developed novel animal models for Entamoeba histolytica infection. Her work integrates molecular, biochemical, and immunological approaches to dissect how parasite and host genes influence infection dynamics. The recent publications from her lab reflect a strong trend in understanding metabolic manipulation by parasites, host lipid signaling, and the development of advanced in vitro and in vivo models. Her work increasingly leverages multi-omics to uncover regulatory networks in both host and pathogen during acute and chronic stages of infection. Dr. Knoll has received numerous scientific awards recognizing her contributions to parasitology and infectious disease research: 2024: UW-Madison Kellett Mid-Career Award 2022: William Trager Award for Basic Parasitology (ACMCIP) 2012: WARF Romnes Faculty Fellow 2009: Hartwell Foundation Biomedical Research Award 2008: American Heart Association Established Investigator Award 2007: American Cancer Society Research Scholar Award 2003: Shaw Scientist Award 2000: Burroughs Wellcome Career Award She actively mentors graduate students through UW-Madison’s Microbiology, Cellular & Molecular Pathology, and Cellular & Molecular Biology programs. Her lab welcomes postdoctoral scholars and undergraduates, fostering a collaborative and inclusive research environment. Dr. Knoll’s work continues to advance the understanding of eukaryotic parasite biology and host defense mechanisms, with implications for therapeutics and vaccine development. Her laboratory is based in the Microbial Sciences Building, where she leads a team investigating the complex life cycles and pathogenic strategies of apicomplexan and amoebic parasites.