جست‌وجوی استاد و پژوهشگر

Anne Kiremidjianمشاهده پروفایل

استاد

• Earthquake Engineering
• Structural Health Monitoring
• Risk Assessment
• +۳ مورد دیگر

Anne Kiremidjian is the C.L. Peck, Class of 1906 Professor in Stanford University's School of Engineering, specializing in Civil and Environmental Engineering. She holds a BA in Physics from Queens College (1972), BS in Civil Engineering from Columbia University (1972), and MS/PhD in Structural Engineering from Stanford (1973/1977). Her research focuses on earthquake hazard modeling, structural resilience, and wireless sensor networks for infrastructure monitoring. Key roles include Co-Director (1987-1995) and Director (1995-2002) of the John A. Blume Earthquake Engineering Research Center. She co-founded K2 Technologies and Sensametrics, Inc., and has served on numerous national and international advisory boards, including the National Academy of Engineering and the John and Jene Blume Foundation. Her research emphasizes data-driven methods for post-earthquake damage assessment, integrating machine learning and sensor networks. Notable contributions include algorithms for structural health monitoring and frameworks for prioritizing healthcare system recovery post-disaster. Over 130 publications and 15+ honors highlight her impact, including the 2023 Thomas Egleston Medal and National Academy of Engineering membership (2021). Teaching spans decision analysis, structural engineering, and research mentorship. Her work bridges academia and industry, addressing global challenges in disaster resilience and sustainable infrastructure.

Stuart Inglebyمشاهده پروفایل

مدرس ارشد

• Quantum Technology
• Optical Magnetometry
• Atomic Physics
• +۷ مورد دیگر

Dr. Stuart Ingleby is a Senior Lecturer and Chancellor’s Fellow in the Department of Physics at the University of Strathclyde, Faculty of Science. His research focuses on the development of portable, high-sensitivity optical magnetometers for practical applications in medicine, navigation, and environmental monitoring. His research interests include: Quantum-enabled magnetic sensors Compact atomic and optical systems Real-time data acquisition and processing Low-noise precision electronics for sensor interfaces His recent publications demonstrate a strong trend in advancing optically pumped magnetometers (OPMs) for field deployment, with applications ranging from GNSS-denied navigation to space weather monitoring and biomedical imaging. The work emphasizes miniaturization, enhanced sensitivity, and robust hardware-software integration. Scientific awards received: University of Strathclyde Chancellor's Fellowship (2021) Dr. Ingleby leads and co-investigates multiple research projects funded by EPSRC, UK Space Agency, and industry partners such as AWE plc. He is actively involved in the UK Quantum Technology Hub in Sensing, Imaging and Timing (QuSIT), contributing to quantum-enabled positioning and navigation systems. He mentors PhD students and collaborates extensively within interdisciplinary teams. His work includes both theoretical modeling and experimental development of atomic sensors. He is a peer reviewer for journals including Optics Express , Advanced Optical Technologies , and European Physical Journal Quantum Technology , reflecting his standing in the quantum sensing community.

Hrushikesh Mhaskarمشاهده پروفایل

استاد پژوهشی

• Approximation Theory
• Computational Harmonic Analysis
• Machine Learning
• +۳ مورد دیگر

Hrushikesh Mhaskar is a Research Professor of Mathematics at Claremont Graduate University (CGU) since 2012, with a prior 32-year tenure at California State University, Los Angeles. He holds a PhD in Mathematics from Ohio State University, alongside an MS in Computer Science and an MSc from the Indian Institute of Technology, Mumbai. His research focuses on approximation theory, computational harmonic analysis, machine learning, and signal processing, with significant contributions to neural network theory and kernel-based methods. Mhaskar has authored over 150 papers, two books, and five edited volumes. His work includes pioneering studies on weighted polynomial approximation, Fourier domain conversions, and manifold learning. He currently serves on editorial boards for journals like Applied and Computational Harmonic Analysis and Journal of Approximation Theory , and collaborates with institutions like the University of California, Santa Barbara. Awards include five Alexander von Humboldt Fellowships and a John von Neumann Distinguished Professorship. His research is supported by the NSF and previously by the U.S. Air Force and intelligence agencies. Notable contributions include developing eignets for function approximation on manifolds and analyzing deep vs. shallow networks' approximation capabilities. His work bridges theoretical mathematics with practical applications in biomedical data analysis (e.g., blood glucose prediction) and signal processing.

• Optical Sensors
• Micro-Electro-Mechanical Systems (MEMS)
• Fluid Mechanics
• +۴ مورد دیگر

Volkan Otugen is a Professor in the Department of Mechanical Engineering at the University of South Florida (USF), College of Engineering, where he serves as founding director of the Optical Sensors Laboratory. Holding a Ph.D. in Mechanical Engineering from Stanford University, his career spans advanced optical sensor development for aerospace and fluid mechanics applications. His research focuses on: Micro-optical sensors using whispering gallery mode (WGM) resonators Wall shear stress, pressure, acceleration, and electromagnetic field detection MEMS-based instrumentation for extreme environments Structural health monitoring systems Smart materials integration Aerospace fluid dynamics diagnostics Recent publications (2024-2014) demonstrate sustained innovation in WGM resonator applications, particularly for high-speed transient sensing and aerospace instrumentation like EDL air-speed sensors and cryogenic seismometers. This work bridges photonics, fluid dynamics, and MEMS engineering with emphasis on resolution, data rate, and environmental robustness. Scientific recognition includes: ASME Fellow designation Otugen has secured major research funding and mentored graduate students through projects with NASA and the National Science Foundation: Advising: Extensive mentorship of PhD/Master's candidates in optical sensor development Grants: NASA for atmospheric sensors, NSF for SGER projects on wall shear stress sensors The Optical Sensors Laboratory at USF specializes in designing and testing photonic sensors for propulsion systems, structural monitoring, and space exploration missions.

• Computer Vision
• Image Processing
• Photometric Stereo
• +۱۲ مورد دیگر

Vasileios Argyriou is an academic researcher affiliated with Kingston University, with extensive contributions in computer vision, image processing, and AI applications in IoT, healthcare, and smart agriculture. His work spans photometric stereo, motion estimation, federated learning, and UAV-based remote sensing. Research Interests: His research focuses on developing advanced computer vision techniques including photometric stereo for 3D reconstruction, deep learning for anomaly detection, federated learning for privacy-preserving AI, and AI-driven solutions for smart farming and healthcare. He explores motion estimation, facial recognition, and synthetic data generation for training robust models. The recent publications (2024–2025) highlight a strong trend toward applying machine learning in real-world systems—particularly federated learning for intrusion detection, UAV-based agricultural monitoring, 5G security, and medical imaging. His work integrates computer vision with IoT, wireless communications, and edge computing, demonstrating interdisciplinary innovation. Scientific Contributions: Author of a book on image and video registration with quality metrics. Extensive publication record in top journals including IEEE Transactions, Sensors, and Pattern Recognition. Pioneering work in photometric stereo, motion estimation using phase correlation, and GAN-based face reenactment. He has advised or collaborated with numerous researchers across fields, though specific student names are not listed. His work often involves large-scale data analysis, simulation frameworks, and real-time systems. He is involved in projects related to smart cities, precision agriculture, and autonomous systems. Laboratories and Teams: His collaborations suggest involvement with research groups focused on intelligent systems, computer vision, and IoT at Kingston University and beyond, particularly with Panagiotis Sarigiannidis, Thomas Lagkas, and others in networking and AI.

• Atmospheric Physics
• Atmospheric Electricity
• Gravity Waves
• +۷ مورد دیگر

Graeme J. Marlton is a researcher in atmospheric physics, affiliated with the University of Reading, where he completed his PhD in 2016. His work centers on atmospheric electricity, gravity waves, and the development of balloon-borne instrumentation for atmospheric measurement. He has published extensively in leading journals such as Geophysical Research Letters , Physical Review Letters , and Philosophical Transactions of the Royal Society A . Research Interests: Dr. Marlton's research spans a range of topics in atmospheric science, including cloud electrification, charge emission, precipitation modification, infrasound, and atmospheric turbulence. He applies both theoretical and experimental approaches, often involving novel instrumentation deployed on balloons or drones. The most recent articles highlight a consistent focus on atmospheric electricity , particularly in clouds, dust, and volcanic plumes, and the use of remote and balloon-borne sensing to study gravity waves and ionization effects. There is a strong interdisciplinary thread, combining physics, meteorology, and engineering, with applications in climate science and geoengineering. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: The text does not list any students or formal advisees. There is no mention of grants or funding sources, though his involvement in large collaborative projects (e.g., ARM Tethered Balloon System) suggests participation in funded research initiatives. Labs and Teams: While no specific lab or research group is named, Dr. Marlton appears to be part of a collaborative network at the University of Reading, working closely with researchers such as R. G. Harrison, K. A. Nicoll, and A. Charlton-Perez on atmospheric instrumentation and phenomena.

Douglas A. Wiensمشاهده پروفایل

استاد

• Seismology
• Geophysics
• Antarctic Studies
• +۳ مورد دیگر

Douglas A. Wiens is the Robert S. Brookings Distinguished Professor of Earth, Environmental, and Planetary Sciences at Washington University in St. Louis. His research focuses on using seismology to study subduction zones, Antarctic geodynamics, and ice-earth interactions. Wiens has pioneered autonomous seismic deployments in Antarctica, achieving the first successful year-long unattended data collection. He investigates seismic imaging of Antarctica's lithosphere to understand ice sheet stability and past climate changes. Education : PhD in Geophysics from Northwestern University. His work integrates ocean bottom seismometers (OBS) and distributed acoustic sensing (DAS) to study mantle hydration, fault mechanics, and glacial dynamics. Research Interests : Wiens specializes in seismic tomography of subduction zones (e.g., Tonga, Alaska, Mariana), Antarctic crustal structure, and the interplay between ice mass loss and tectonic deformation. He explores how mantle viscosity influences sea level projections and investigates tidally triggered cryoseismicity at ice shelves. Key Contributions : Developed second-generation seismic models of Antarctica using adjoint tomography, characterized slab morphology in the Tonga subduction zone, and mapped crustal architecture in the Midcontinent Rift. His studies on Patagonian slab windows link lithospheric erosion to glacial isostasy. Labs/Teams : Leads the Seismology Research Group and participates in the McDonnell Center for the Space Sciences . Collaborates with NSF-funded initiatives like the Antarctica Network-Polar Earth Observing Network (AN-POLE).

Todd Berrethمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Interactive Art and Media
• Visual Narrative
• +۶ مورد دیگر

Todd Berreth is an Assistant Professor of Media Arts, Design and Technology in the College of Design at North Carolina State University and a core faculty member of the Chancellor’s Visual Narrative Cluster. His work bridges design, art, and technology to create innovative interactive experiences that transform narrative consumption and production. His educational background includes a Master of Architecture from the University of Pennsylvania, where he won the Paul Philippe Cret Medal for top graduate design thesis, and a Bachelor of Arts in Studio Art (Sculpture and Media Studies Concentration) from Carleton College. Berreth's research centers on human-computer interaction and visual narrative , leveraging emerging technologies like mixed reality, AI, and tangible interfaces to democratize digital humanities. He develops open-source toolkits that empower communities to alter physical environments and expand storytelling capabilities, fundamentally redefining relationships between information creators and consumers through projects like TITA and ACOMS. His publication portfolio reveals a dominant trend in augmented reality storytelling for educational and cultural contexts, with emphasis on multidisciplinary classroom applications and museum exhibition design. These works consistently integrate tangible interaction principles and open-source frameworks to enable hands-on narrative exploration. Notable recognitions include the Paul Philippe Cret Medal, Van Alan Traveling Fellowship, Arthur Spayd Brooke Prize, and an Outstanding Work Award at China's 2015 Tangible Interaction Design Exhibition. He was also a 3M Art and Technology Award semi-finalist. Berreth actively serves as an ACM Siggraph reviewer and juror while maintaining industry collaborations forged during his architectural career at firms like Freelon Group and Kieran Timberlake. His Duke University tenure involved cross-departmental projects merging art, engineering, and performance through sensor installations and computational media. As a Visual Narrative Cluster core member, he directs projects including The Black Tuesday Experience and Story-go-round, which deploy interactive technologies for historical simulation and cultural heritage preservation across international venues from IEEE Visweek to the China Museum of Science and Technology.

• Inversion Modeling
• Greenhouse Gases
• Anthropogenic Emissions
• +۳ مورد دیگر

Yang Xu is a Post-doctoral researcher at the Max Planck Institute for Biogeochemistry in Jena, Germany, working within the Department of Biogeochemical Signals and the Airborne Trace Gas Measurements research group. His primary focus involves inversion modeling of greenhouse gas emissions, with specialized expertise in urban anthropogenic and biogenic flux quantification using integrated atmospheric measurement systems. His academic credentials include: Ph.D. in Geosciences from Université Paris-Saclay, France (2019-2023), thesis: "Analysis of atmospheric CO2 measurements in Mexico City" M.S. in Environmental Sciences from Peking University, China (2015-2018), thesis: "Evaluation of PM2.5 related health effects of the ban policy on beehive coke in China" B.S. in Statistics from Peking University, China (2012-2015) B.S. in Environmental Sciences from Peking University, China (2011-2015), thesis: "Reconstruction of PAHs emissions caused by beehive coke activities" Dr. Xu's research integrates ground-based and space-based remote sensing data to develop advanced inversion models for urban greenhouse gas flux estimation. His work in Mexico City has pioneered methodologies for reconciling satellite observations with in-situ measurements to quantify emission sources, while his earlier research in China established critical links between air pollution control policies and public health outcomes. This dual expertise positions him at the intersection of atmospheric chemistry, environmental policy, and climate science. His publication record (2017-2024) demonstrates consistent focus on urban greenhouse gas dynamics, particularly in Mexico City and Chinese metropolitan areas. Key contributions include reconciling asynchronous satellite measurements of CO2 and NO2 with mesoscale models, characterizing urban CO2 gradients using dense sensor networks, and quantifying health benefits from industrial emission controls. His methodologies bridge atmospheric physics, remote sensing technology, and environmental epidemiology. As a core researcher in Germany's Integrated Greenhouse Gas Monitoring System (ITMS) project, Dr. Xu contributes to national-scale emission verification frameworks. His current work involves operationalizing inversion modeling techniques for real-time emission monitoring across German urban centers, with no documented student supervision or external grant leadership beyond the ITMS initiative. He actively participates in the Airborne Trace Gas Measurements research group's field campaigns, which deploy advanced spectrometers for high-precision atmospheric sampling. The group's work supports both fundamental atmospheric science and practical climate policy development through rigorous emission quantification.

Sébastien Lorangerمشاهده پروفایل

استادیار

• Photonics
• Fiber Optics
• Laser Technology
• +۵ مورد دیگر

Sébastien Loranger is an Assistant Professor at Polytechnique Montréal in the Department of Electrical Engineering . His research focuses on photonics , laser technology , and optical sensing , with applications in space communications, distributed sensing, and photonic device fabrication. Education: PhD (2018), MSc (2014), and Baccalaureate (2012) in Engineering Physics from Polytechnique Montréal, followed by a postdoctoral fellowship at the Max-Planck Institute for the Science of Light in Germany. Industry experience: Research and development roles at Photonova Inc. and ITF Technologies prior to academia. Research Interests include: Femtosecond laser writing of photonic components Optical fiber sensing (distributed temperature/strain/magnetic field) THz radiation generation and anti-resonant fiber design Space applications of photonics (optical power beaming, lunar environment) Optimized Raman fiber lasers and Bragg gratings His recent publications (2024-2025) emphasize ultrafast photonics , laser-material interactions , and space-ready optical systems . He supervises graduate students like Foroogh Jafari and collaborates with institutions globally. Key affiliations include the POLY-GRAMES Research Center and the Max-Planck Institute .

• Optical Sensors
• Aerospace Engineering
• Additive Manufacturing
• +۲ مورد دیگر

Alessandro Aimasso is a PhD student in Aerospace Engineering (38th cycle, 2022-2025) at the Polytechnic University of Turin's Department of Mechanical and Aerospace Engineering (DIMEAS), where he also serves as an external lecturer and teaching assistant. He contributes to research activities at the ASTRA group (Additive Manufacturing for Systems and Structures in Aerospace) and the interdepartmental Center for Photonic Technologies PhotoNext. His research focuses on optical sensors for aeronautical and space applications, particularly Fiber Bragg Grating (FBG) technology for system lifecycle management. Specific interests include: Augmented reality visualization of sensor data Thermal and structural monitoring of aerospace systems Smart composites manufacturing with embedded sensors Lunar habitat construction technologies Real-time monitoring systems for spacecraft Analysis of his recent publications shows strong focus on experimental validation of FBG sensor applications in extreme environments, development of real-time monitoring systems, and integration of augmented reality for data visualization. His work frequently involves rapid prototyping and multidisciplinary approaches to aerospace challenges. He holds two patents: USE AND INTEGRATION OF SENSORS IN THE STRUCTURE AND EQUIPMENT OF COMPLEX MACHINES FOR THE DEVELOPMENT OF INTELLIGENT MONITORING SYSTEMS AND CREATION OF MULTIFUNCTIONAL VIRTUAL SENSORS Gas-dynamic nozzle for an end-jet engine, specifically a launcher As a teaching assistant, he contributes to courses on Modeling, Simulation, and Testing of Aerospace Systems, and Photonics in the Digital Revolution. His laboratory work involves the ASTRA group's facilities focusing on additive manufacturing and photonic technologies.

• Radar engineering and signal processing
• Cloud and precipitation microphysics and dynamics
• Boundary-layer turbulence
• +۳ مورد دیگر

Dr. Pavlos Kollias is a Professor at Stony Brook University’s School of Marine and Atmospheric Sciences and holds a joint appointment as Atmospheric Scientist in the Environmental Science and Technologies Department at Brookhaven National Laboratory. He also serves as International Faculty at the University of Cologne and Adjunct Professor at McGill University. Education Ph.D. in Meteorology, University of Miami, 2000 M.S. in Atmospheric Science, University of Athens, Greece, 1996 B.S. in Physics, University of Athens, Greece, 1994 Research Interests Kollias’s research integrates radar engineering, signal processing, and smart-sensor development to advance understanding of cloud and precipitation microphysics, boundary-layer turbulence, and satellite remote sensing . His work spans the design of novel phased-array and space-borne radars, fusion of multi-sensor observations, and agile adaptive observing strategies for weather and climate science. Key thrusts include: Development and deployment of ground-based and airborne radar networks Spaceborne cloud-profiling missions (EarthCARE, WIVERN, INCUS) High-resolution observations of marine boundary-layer clouds and polar mixed-phase systems Algorithms for retrieving vertical air motion, liquid water content, and drizzle microphysics Scientific Awards & Recognition AGU Atmospheric Sciences Ascent Award (2020) NASA Group Achievement Awards (2015, 2003) Humboldt Research Fellowship for Experienced Researchers, Germany (2013–2014) Canada Research Chair (Tier I 2012–2017, Tier II 2007–2012) Visiting Scientist Fellowship, CIRES, University of Colorado (2003–2004) Leadership & Service Since 2020 he directs the SBU–BNL Radar Observatory and since 2017 has led the Center for Multiscale Applied Sensing at BNL. Editorial roles include Editor of the AMS Journal of Applied Meteorology and Climatology (2024–present) and Associate Editor of EGU Atmospheric Measurement Techniques (2019–present). He sits on mission advisory groups for ESA EarthCARE and WIVERN, the NASA INCUS and ACCP science teams, and the DFG Collaborative Research Center CRC1502 advisory board.

Ivan Chorbevمشاهده پروفایل

استادیار

• Combinatorial optimization
• Heuristic algorithms
• Constraint programming
• +۵ مورد دیگر

Ivan Chorbev, Ph.D. is an Assistant Professor at the Institute for Computer Science and Engineering , Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje, North Macedonia. Since 2009 he has taught courses ranging from Structured Programming to Computer Animation and consulted on numerous EU and national ICT projects. Education B.Sc., Faculty of Electrical Engineering, Skopje, 2004 M.Sc., Faculty of Electrical Engineering, Skopje, 2006 Ph.D., Faculty of Electrical Engineering and Information Technologies, Skopje, 2009 Research Interests His work integrates combinatorial optimization and machine learning to solve complex real-world problems. Core themes include designing heuristic algorithms and constraint programming models for scheduling, resource allocation and telemedicine systems, developing medical expert systems that leverage knowledge extraction and predictive modeling, and creating web-based platforms for e-health, smart living and educational services. Publication Trends Over 70 peer-reviewed works (2005-2014) reveal a clear trajectory from foundational optimization and constraint-solving research toward interdisciplinary applications in telemedicine , social media analytics , and assistive technologies . A notable 2011-2014 surge focuses on cloud-supported e-health systems, 3-D printing for assistive devices, and mining social media for epidemiological insights. Scientific Awards Golden engineering ring – awarded by the Organization of Engineers of Macedonia for best student of his generation. Projects & Funding Risk Assessment for Customs in Western Balkans – FP6 COST IC0602 Algorithmic Decision Theory – management committee member (FP6) COST IC1002 MUMIA – management committee member (FP7) E-HFISN – e-Health applications using folksonomy & social networks (FP7) TEMPUS – Innovation and Knowledge Management toward eStudent Information System Laboratory & Team He conducts research within the Institute for Computer Science and Engineering laboratories, supervising graduate projects in optimization, medical informatics and smart environments.

Mika Ruokonenمشاهده پروفایل

استاد مدعو

• Artificial Intelligence
• Business Strategy
• Digital Transformation
• +۳ مورد دیگر

Mika Ruokonen serves as an Industry Professor at LUT University's Business School, with a new AI-focused industry professorship commencing in August 2025 on the Lahti campus. His role is funded by the PHP Foundation, Padasjoki Savings Bank Foundation, Lahti Industrial Association Foundation, and City of Lahti with a total of 310,000 euros for a three-year part-time position. As the largest donor, the PHP Foundation contributed 150,000 euros to this initiative. Ruokonen specializes in artificial intelligence research, particularly in business applications, collaborating with Professor Paavo Ritala. His doctoral work was completed at LUT in 2008, and he brings extensive business management experience to his academic role. He has gained recognition as an AI expert in Finnish media and internationally through numerous studies and public statements on AI strategies. His research interests center on practical AI implementation in business contexts, with focus areas including generative AI for strategic advantage, industrial AI capabilities development, AI-first business strategies, and the application of AI in European industries. His work bridges academic research with practical business applications, emphasizing how organizations can leverage AI for competitive advantage and operational transformation. Ruokonen's publication record shows a strong focus on the intersection of AI technologies and business strategy, with recent work examining generative AI, metaverse strategies, conversational AI in knowledge industries, and data-driven competitiveness. His research demonstrates a clear trajectory from foundational digital transformation concepts to cutting-edge AI applications across various business functions. His new role involves speaking at AI-related events in Lahti, with the first engagements planned for late 2025. The position aims to build 'broader shoulders for AI research' that is more extensive, faster, and less dependent on individual researchers. Ruokonen emphasizes that his contribution combines academic expertise with practical business skills and contacts, particularly supporting AI development from a management perspective. He has authored significant reports including 'Applying AI in Key European Industries' for the Finnish Innovation Fund Sitra, where he advocates for European investment in AI infrastructure, expertise, models, and data availability. His recommendations include European single market harmonization, affordable computing resources, multilingual large language models, reliable European data spaces, AI workforce training, and talent retention strategies.

Kambez H. Benamمشاهده پروفایل

دانشیار

• Lung biology
• Immuno-microbiology
• Tissue microengineering
• +۷ مورد دیگر

Dr. Kambez H. Benam is an Associate Professor of Medicine and Bioengineering at the University of Pittsburgh , where he spearheads the Translational and Multidisciplinary Lung Microengineering Lab . His interdisciplinary program integrates lung biology, immuno-microbiology, tissue engineering, robotics, and AI to create human-relevant models for pulmonary medicine. Education & Training: D.Phil., University of Oxford Postdoctoral & Technology Development Fellow, Wyss Institute for Biologically Inspired Engineering, Harvard University Research Focus: Dr. Benam’s group develops Organs-on-Chips , biomimetic robotic systems , and 3D bioprinting platforms to recapitulate human lung, immune, and vascular physiology at micro- and nano-scales. They investigate inhalation toxicology, vaping-related injury, and the impact of microgravity on astronaut health using microphysiological systems (MPS). Recent Publication Trends (2016–2023): His work has advanced from foundational lung-on-chip devices ( Nature Methods, 2016 ) to translational studies on COVID-19 therapeutics ( Nano Select & Pharmacology & Therapeutics, 2021 ) and real-time robotic vaping analyzers ( iScience & Respiratory Research, 2021–2023 ). The trajectory highlights a shift toward clinical cohort integration, antiviral drug discovery, and regulatory science for e-cigarette safety. Scientific Honors: Award from the American Thoracic Society Award from the Society of Toxicology Multiple licensed patents and widespread media recognition Teams & Infrastructure: Dr. Benam’s team—comprising researchers such as Quoc Vo, Rocio Jimenez-Valdes, and Hanieh Mahvizani—is housed primarily in the Thomas E. Starzl Biomedical Science Tower . The lab is committed to reducing animal use in preclinical research while accelerating therapeutic discovery for debilitating lung disorders.