جست‌وجوی استاد و پژوهشگر

Asha Weinstein Agrawalمشاهده پروفایل

استاد

• Transportation Planning and Policy
• Transportation Revenue
• Equity in Transportation
• +۴ مورد دیگر

Asha Weinstein Agrawal is a Professor at the School of Planning, Policy, and Environmental Studies within San Jose State University's College of Social Sciences. Her work centers on transportation planning and policy with a focus on sustainability and equity, actively engaging policymakers and communities to address contemporary mobility challenges through evidence-based solutions. Professor Agrawal's research spans transportation revenue systems, equity implications in mobility access, sustainable transportation frameworks, travel behavior analysis, survey methodology innovation, and historical transportation policy evolution. She investigates how planning tools can promote environmentally friendly travel and improve accessibility for disadvantaged populations, with current projects examining electric vehicle impacts on transportation funding, transit safety for vulnerable users, and community engagement in open streets initiatives. Analysis of her recent publications reveals dominant themes in transportation funding alternatives—particularly mileage-based user fees and zero-emission vehicle revenue impacts—and equity-focused studies on transit safety, workforce diversity, and accessibility for older adults and low-income communities. Her work consistently bridges academic research with real-world policy applications through rigorous survey methodologies and multi-stakeholder engagement. Scientific Awards: No specific awards are documented in the provided materials. Advising and Professional Engagement: Professor Agrawal regularly presents findings to federal and state decision-makers including U.S. Senate committees, the California Transportation Commission, and local transportation authorities. She serves on key advisory bodies such as the Metropolitan Transportation Commission's Regional Means-Based Transit Fare Pricing Study committee, Santa Clara County Traffic Safe Communities Network, and Valley Transportation Authority's Pedestrian Access Task Force. Her research has been supported through multiple policy-relevant projects with transportation agencies across California and nationally.

• Substance Use Disorders
• Adolescent Addiction Medicine
• Pediatric Emergency Medicine
• +۶ مورد دیگر

Deepa Camenga, MD, MHS, FAAP is an Associate Professor of Emergency Medicine at Yale School of Medicine with secondary appointments in Chronic Disease Epidemiology and General Pediatrics. She serves as the Associate Director of Pediatric Programs for the Yale Program in Addiction Medicine, where she leads clinical, educational, and policy efforts to improve healthcare for children impacted by substance use. As a board-certified physician in pediatrics and addiction medicine, Dr. Camenga specializes in adolescent addiction and is one of the few clinicians in Connecticut who prescribes medication treatment for adolescents with opioid use disorder. Dr. Camenga's educational background includes: BA from Yale University (2000) MD from University of Rochester School of Medicine & Dentistry (2005) Residency at University of Rochester Golisano Children Hospital (2008) Chief Resident at Children's Strong Hospital, Rochester (2009) Postdoctoral Fellowship and MHS in Health Services Research through the Robert Wood Johnson Foundation Clinical Scholars Program at Yale (2012) Dr. Camenga's research focuses on reducing the morbidity and mortality associated with adolescent substance use and substance use disorders. Her work specifically aims to improve identification and treatment of drug and tobacco use in healthcare settings, with a particular interest in developing technology-enhanced interventions to reduce substance use among adolescents and young adults. She employs both quantitative and qualitative methodologies to examine adolescent substance use patterns, cessation motivations, and the effectiveness of interventions in clinical and community settings. Her research has significant implications for public health policy and clinical practice guidelines related to youth substance use. Dr. Camenga's recent publications demonstrate a strong focus on adolescent vaping behaviors, impaired driving among youth, and digital interventions for substance use prevention. Her work spans multiple methodologies including longitudinal studies, system dynamics modeling, and mixed-methods approaches. Key themes in her research include the impact of flavored products on youth nicotine dependence, the social and environmental factors influencing risky behaviors, and the development of evidence-based approaches to substance use prevention and treatment for adolescents. Dr. Camenga is actively involved in national professional organizations and committees: Member of the American Academy of Pediatrics Committee on Substance Use and Prevention (since 2016) Member of the American Academy of Pediatrics Meeting Planning and Participation Committee (since 2018) Former Committee Member of the Academic Pediatric Association (2013-2015) Dr. Camenga has developed several innovative clinical programs, including a school-based health center tele-consult program and an inpatient adolescent addiction medicine consult service. She treats adolescents and young adults at the APT Foundation and leads an addiction medicine tele-consult service for local school-based health centers. Her work extends to the Yale DrivSim Lab, where she collaborates on studies examining the neurocognitive aspects of risky driving and substance use among youth. Dr. Camenga also chairs the American Academy of Pediatrics Committee on Substance Use and Prevention, positioning her as a national expert in pediatric addiction medicine.

Marek Baslerمشاهده پروفایل

دانشیار

• Type VI Secretion System (T6SS)
• Bacterial Virulence
• Structural Biology of Nanomachines
• +۵ مورد دیگر

Prof. Dr. Marek Basler is an Associate Professor of Infection Biology at the Biozentrum, University of Basel , leading a research group focused on the Type VI Secretion System (T6SS) in bacterial pathogens. His work bridges structural biology, molecular microbiology, and computational analysis to unravel the mechanisms of this contractile nanomachine. PhD in Microbiology (2007, Institute of Microbiology, CAS, Prague) Postdoctoral Fellow (2007–2013, Harvard Medical School) Assistant Professor (2013–2018) and Associate Professor (since 2018) at Biozentrum His research explores the structure, assembly, and therapeutic potential of the T6SS, a critical virulence factor in pathogens like Pseudomonas aeruginosa . Key themes include bacterial defense strategies , intermicrobial competition , and host-pathogen interactions . Recent projects highlight T6SS roles in antibiotic resistance and horizontal gene transfer . The most recent publications (2025–2024) reveal novel insights into T6SS activation by environmental stress , toxin diversity , and host cell targeting . Trends span microbial ecology , nanomachine dynamics , and computational modeling of bacterial interactions. Scientific Awards : EMBO Membership (2023) ERC Consolidator Grant (2019) EMBO Gold Medal (2018) Friedrich Miescher Award (2018) EMBO Young Investigator (2015) His lab (Basler Lab) utilizes state-of-the-art microscopy , biochemical techniques , and live-cell simulations (e.g., BacFighT6 ). Collaborations span institutions like Harvard Medical School and NCCR-AntiResist , with future work targeting antibacterial therapies .

• Indoor Positioning
• Mobile Computing
• Context-aware Computing
• +۷ مورد دیگر

Adriano Jorge Cardoso Moreira is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, Universidade do Minho, Portugal. He is also a Senior Researcher at the Algoritmi Research Centre and Scientific Coordinator of the Urban and Mobile Computing department at Centro de Computação Gráfica. His research focuses on indoor positioning , mobile and context-aware computing , urban computing , and simulation of wireless networks . Research Interests : Indoor Positioning, Mobile Computing, Urban Mobility, Sensor Networks, Wi-Fi and UWB Localization, Smart Cities. Leadership : Coordinated the Computer Communications and Pervasive Media Group (2008-2016), Scientific Committee member (Director of MAP-tele PhD program in multiple terms), and leads the Master in Telecommunications and Informatics since 2021. Publications : Over 100 papers, including IEEE Transactions and Sensors journal articles, with an h-index of 23 and 2136 citations. Awards : First and second prizes in EvAAL-ETRI Indoor Localization Competitions (2015, 2016, 2017).

• Manufacturing Management
• Production Planning
• Production Control
• +۱۴ مورد دیگر

Maria Leonilde Rocha Varela is an Associate Professor with Habilitation at the School of Engineering, University of Minho, Portugal, where she also serves as a Senior Researcher at the Algoritmi Research Centre. She has been an integrated member of the Algoritmi Research Centre since 2012 and works in the Department of Production and Systems. Dr. Varela earned her degree in Production Engineering from the University of Minho in 1994, completed a Master's in Computer Integrated Production at DPS-UMinho in 1999, and received her Ph.D. in Production and Systems from the University of Minho in 2007. Her primary research focuses on Manufacturing Management, particularly Production Planning, Control and Optimization, and Collaborative Paradigms, Networks and Decision Making Models. She maintains extensive international collaborations with institutions worldwide including the National Institute of Industrial Engineering, VSB-Technick Univerzita Ostrava, University of Belgrade, and others. Her research spans Web Applications and Services for supporting Engineering and Production Management, with increasing emphasis on Artificial Intelligence, Robotic Process Automation, and Industry 4.0/5.0 applications. She has made significant contributions to scheduling algorithms, optimization techniques, and decision support systems for manufacturing environments. Analysis of her recent publications reveals a strong trend toward integrating Artificial Intelligence with traditional manufacturing processes, particularly in Robotic Process Automation applications. Her research increasingly focuses on sustainable manufacturing practices, with numerous publications addressing energy efficiency, environmental sustainability, and resource optimization. There is a clear emphasis on multi-objective optimization approaches to solve complex manufacturing problems, particularly in distributed job shop scheduling. Her work demonstrates an evolution from traditional production planning methods to more advanced AI-driven approaches for Industry 4.0 and 5.0 environments. Dr. Varela has held significant academic leadership roles, currently serving as the director of the master's course in Engineering and Quality Management at DPS-UMinho. She previously coordinated the industrial management and systems subgroup from 2012 to 2021 and was part of the steering committee for the master's course in systems engineering between 2016 and 2019. She has successfully supervised more than 70 MSc projects, with over 15 currently ongoing, focusing on Production and Systems Engineering. Her supervision encompasses collaborative management models, traditional decision approaches, and web-based platforms incorporating AI techniques. She coordinates research projects including 2 concluded Ph.D. projects and 6 ongoing ones. She collaborates as a research member in several R&D projects with national and international industrial enterprises and institutions, and in international Erasmus projects. Dr. Varela is an active participant in the academic community, serving on editorial boards of several international journals and as a member of organizing and scientific committees for numerous international conferences. She is a member of several prestigious research networks including the Euro Working Group of Decision Support Systems (EWG-DSS), Institute of Electrical and Electronics Engineers (IEEE), Industrial Engineering Network, and the Institute of Industrial and Systems Engineers (IISE).

• Thermal Engineering
• Electrified Vehicles (xEVs)
• Computational Fluid Dynamics (CFD)
• +۴ مورد دیگر

Ratnak SOK is an Associate Professor at Waseda University, specializing in thermal engineering, electrified vehicles, and internal combustion engine research. His work spans transportation electrification , CFD modeling , waste heat recovery , and low-carbon/e-fuel ICEs with aftertreatment systems. Doctor of Engineering (2015, Waseda University) MSME (2011, Institut Teknologi Bandung) Diplôme d'Ingénieur (2009, Institut de Technologie du Cambodge) DUT (2006, Institut de Technologie du Cambodge) His research focuses on xEV thermal management , internal combustion engine efficiency , and thermoelectric waste heat recovery , supported by 44 peer-reviewed papers and 340 Scopus citations. Recent work integrates machine learning and CFD simulations for combustion control and battery modeling. Scientific accolades include: Young Investigator Award (2025 Japan Society of Automotive Engineers) SAE International Journal editorial board member Chair, 2025 ASME Rail Transportation Symposium His academic leadership extends to organizing technical sessions at IEEE, SAE, and FISITA conferences.

• Transport phenomena and unit operations
• Metals production and resources production
• Earth resource engineering
• +۱۳ مورد دیگر

Chiharu Tokoro is a Professor and currently serves as the Dean of the School of Creative Science and Engineering at Waseda University. She also holds positions as an External Director at Toppan Photomasks Inc. and JX Metals Corporation, and is a Specially Appointed Professor at The University of Tokyo's Graduate School of Engineering. With a Dr. Engineering degree from The University of Tokyo (2003), she has established herself as a leading researcher in resource recycling and environmental engineering, with over 184 papers and an h-index of 27 (Scopus) or 30 (Google Scholar). Dean of School of Creative Science and Engineering, Waseda University (2024.09-present) External Director, Toppan Photomasks Inc. (2023.11-present) External Director, JX Metals Corporation (2021.04-present) Specially Appointed Professor, The University of Tokyo, Institute of Industrial Science (2016.11-present) She received her Dr. Engineering degree from The University of Tokyo in March 2003 after completing her undergraduate studies at Waseda University's School of Science and Engineering (1994-1998). Professor Tokoro's research spans transport phenomena, metals production, earth resource engineering, energy sciences, and environmental materials recycling. She specializes in solid-liquid and solid-solid separation processes, powder simulation and processing, and environmental treatment technologies. Her work focuses on innovative recycling methods for lithium-ion batteries, photovoltaic panels, and other electronic waste, with particular emphasis on pulsed discharge techniques for material separation. She has pioneered novel electrical pulse methods that enable high-precision separation of battery components while minimizing environmental impact. Her recent publications demonstrate a strong focus on advanced recycling technologies, particularly for lithium-ion batteries and electronic waste. She has developed groundbreaking pulsed discharge methods for separating battery components with high precision, achieving over 95% material recovery rates. Her research also extends to water treatment technologies, heavy metal removal, and sustainable materials development. The interdisciplinary nature of her work bridges chemical engineering, materials science, and environmental engineering to address critical resource circulation challenges in the context of circular economy principles. Jubilee Global Diversity Award from The American Ceramic Society (2024) 令和4年度リサイクル技術開発本多賞 (2022) 5th APT Outstanding International Contribution Award (2022) Falling Walls Science Breakthroughs of the Year 2021 finalist in Engineering and Technology 平成31年度文部科学大臣表彰 科学技術賞 (2019) Professor Tokoro serves on numerous national and international committees related to resource recycling, environmental policy, and scientific research evaluation. She is an active editorial board member for several prestigious journals including Scientific Reports and Minerals. Her research is supported by various grants from government agencies and industry partnerships focused on sustainable resource management and circular economy development. She has been instrumental in developing policy recommendations for electronic waste recycling and resource conservation in Japan. As Dean of the School of Creative Science and Engineering at Waseda University, she leads one of Japan's premier institutions for engineering education and research. Her laboratory focuses on developing innovative recycling technologies, particularly for lithium-ion batteries and photovoltaic panels. She collaborates extensively with industry partners and government agencies to translate research findings into practical applications that address real-world resource circulation challenges.

Zhibin Chenمشاهده پروفایل

استادیار

• Transportation Network Modeling and Optimization
• Intelligent Transportation Systems
• Discrete Optimization
• +۴ مورد دیگر

Zhibin Chen is an Assistant Professor of Engineering at NYU Shanghai and concurrently a Global Network Assistant Professor within the broader New York University system. Since January 2019 he has led research and teaching activities at the Division of Engineering and Computer Science in Shanghai, while maintaining university-wide collaborations through his Global Network appointment. Education Ph.D. in Transportation Engineering, University of Florida (2017) Research Interests Dr. Chen’s scholarship centres on Transportation Network Modeling and Optimization , Intelligent Transportation Systems , and Discrete Optimization . He integrates operations research, data science, and engineering to address emerging challenges in electric mobility, autonomous vehicles, and large-scale urban networks. Recent thrusts include: Data-driven analytics of electric-vehicle charging behaviour under usage heterogeneity. Optimization of charging and swapping infrastructure for electric buses and trucks. Network-level deployment and control strategies for connected and automated vehicles. Day-to-day traffic dynamics and equilibrium models with elastic demand. Pricing, policy, and incentive design for sustainable transportation systems. Scientific Awards Stella Dafermos Best Paper Award – awarded at the 95th Transportation Research Board Annual Meeting. Ryuichi Kitamura Paper Award – also conferred at the 95th TRB Annual Meeting. Editorial & Professional Service Dr. Chen currently serves on the Editorial Advisory Board of Transportation Research Part C: Emerging Technologies , shaping the editorial direction of the leading journal in his field. Grants & Collaborations While specific grant identifiers are not disclosed in the provided text, Dr. Chen’s extensive publication record in top-tier journals ( Transportation Science , Transportation Research Parts B, C, D , IEEE ITS , Applied Energy ) and his editorial role indicate sustained research funding and active collaboration with international partners across North America and China. Laboratories & Teams Operating within the Division of Engineering and Computer Science at NYU Shanghai , Dr. Chen leads a research group focused on next-generation mobility analytics, leveraging the university’s interdisciplinary ecosystem and NYU’s Global Network resources to advance smart and sustainable transportation.

Florian Zaussingerمشاهده پروفایل

استاد

• Thermal Convection
• Fluid Dynamics
• Astrophysics
• +۶ مورد دیگر

Prof. Florian Zaussinger is a faculty member at the Faculty of Applied Computer and Life Sciences at Mittweida University of Applied Sciences. His research focuses on thermal convection, fluid dynamics, and numerical simulations in both geophysical and astrophysical contexts. He has contributed extensively to studies on microgravity experiments, including the GeoFlow and AtmoFlow projects conducted on the International Space Station (ISS). University: Mittweida University of Applied Sciences Faculty: Applied Computer and Life Sciences Department: Mathematics Contact: +49 3727 58-1381 | florian.zaussinger@hs-mittweida.de | Building 6, Room 6-131 His research involves advanced numerical modeling of complex fluid systems, including spherical convection, dielectric heating, and double-diffusive processes. He has developed and applied computational tools like the ANTARES code to simulate convection in DA white dwarfs, planetary atmospheres, and Earth's mantle. His work bridges theoretical fluid mechanics with experimental validation in space-based microgravity environments. Recent publications highlight his expertise in thermo-electrohydrodynamic convection, planetary fluid flow analysis, and microgravity-induced instabilities. While the scraped data does not list scientific awards or students directly, his academic profile emphasizes interdisciplinary collaboration with engineering and life sciences, particularly in applied mathematics for fluid dynamics and experimental data processing.

Yue Liمشاهده پروفایل

استاد

• Resilient Civil Infrastructure
• Structural Reliability
• Risk Assessment
• +۳ مورد دیگر

Yue Li is the Leonard Case Jr. Professor in the Department of Civil and Environmental Engineering at Case Western Reserve University. He specializes in resilient and sustainable infrastructure systems, focusing on structural reliability, probabilistic design, and climate change adaptation. His research addresses risk assessment for infrastructure under extreme events, including earthquakes, hurricanes, and climate impacts. Education: PhD in Civil Engineering, Georgia Institute of Technology, 2005 Research Interests: Dr. Li’s work integrates advanced statistical methods and data-driven approaches to enhance infrastructure resilience. Key areas include: Probabilistic modeling of structural systems Risk-informed decision-making for multi-hazard mitigation Climate change impacts on material durability and performance Asset management and lifecycle cost analysis Notable Contributions: His recent publications emphasize data-driven resilience metrics for water systems and seismic risk assessment for bridges. He has pioneered frameworks for evaluating infrastructure vulnerability under climate change, including corrosion effects and extreme weather adaptation. Awards: ABSE Outstanding Paper Award (2023) Case School of Engineering Teaching Award (2020) Nomination for John S. Diekhoff Award (2019) Leadership Roles: Dr. Li serves as Section Editor for the ASCE Journal of Structural Engineering and chairs multiple technical committees on safety and reliability. He leads initiatives to standardize multi-hazard design practices and resilience evaluation methodologies.

James Chelikowskyمشاهده پروفایل

استاد

• Computational Materials Science
• Quantum Mechanical Simulations
• Magnetic Materials
• +۴ مورد دیگر

James Chelikowsky is Professor and W. A. "Tex" Moncrief, Jr. Chair in Computational Materials at The University of Texas at Austin's Oden Institute for Computational Engineering and Sciences (ICES). His research pioneers quantum mechanical simulations for materials design and discovery across multiple domains. His educational background includes: B.S. in Physics from Kansas State University (1970) Ph.D. in Physics from University of California at Berkeley (1975) Chelikowsky's research spans computational materials science with focus on quantum models for functionalized nanostructures, simulations of liquids and crystal growth, "green magnetism" in dilute magnetic semiconductors, oxide defects, materials informatics, and high-performance electronic structure algorithms. His work bridges theoretical physics with practical materials engineering to solve complex problems in energy and electronics. Analysis of his 2012-2022 publications reveals evolving focus from fundamental quantum simulations toward machine learning integration for magnetic materials discovery, while maintaining strong contributions to two-dimensional materials and interfacial phenomena. Key trends include increased computational complexity and interdisciplinary collaboration with experimental groups. His distinguished honors include: Feynman Prize for Theory (2022) FMD John Bardeen Award (2021) Aneesur Rahman Prize (2013) Multiple society fellowships (MRS, AAAS, APS) Guggenheim Fellowship (1996) As leader of an active research group, Chelikowsky mentors graduate students in computational methods development. While specific grant details aren't provided, his sustained publication record and named chair position indicate substantial ongoing research funding. His group maintains strong industry and national laboratory collaborations evident in co-authorship patterns. The Computational Materials Group operates through ICES with research facilities supporting high-performance computing for materials simulations. Current projects focus on machine learning-guided materials discovery and quantum mechanical modeling of novel electronic materials.

• Quantum Information Theory
• Quantum Many-Body Theory
• Quantum Optics
• +۷ مورد دیگر

Prof. Dr. Jens Eisert is a Professor at the Free University of Berlin, where he leads the Quantum Many-Body Theory, Quantum Information Theory, and Quantum Optics research group (Eisert AG) within the Institute of Theoretical Physics at the Dahlem Center for Complex Quantum Systems. His office is located at Arnimallee 14, Room 1.3.06 in Berlin-Dahlem. His research focuses on the intersection of quantum information theory and condensed matter physics, specifically exploring what information processing tasks are possible using individual quantum systems as information carriers. His group develops mathematical-theoretical foundations of quantum information, particularly in entanglement theory and tomography, while also investigating quantum optical implementations using light modes or cold atoms in optical lattices. A major emphasis of their work is on quantum many-body systems, including static properties, efficient numerical simulation methods like tensor networks, and non-equilibrium quantum dynamics. Recent publications highlight significant contributions in thermalization of quantum systems (Communications Physics 2025), quantum thermodynamics (Nature Physics 2025), and quantum error correction (PRX Quantum 2025). The group's work is characterized by combining the rigor of mathematical physics with physically motivated applicability, frequently leading to direct collaborations with experimental groups. Quantum Information Theory Quantum Many-Body Theory Quantum Optics Entanglement Theory Tensor Networks Quantum Error Correction Prof. Eisert maintains active supervision of numerous PhD students and postdoctoral researchers, with research positions regularly available in areas including quantum error correction, quantum information theory, tensor networks, and quantum simulation. His group has published extensively in top journals including Nature Physics, PRX Quantum, and Physical Review series.

Timothy G. Streinمشاهده پروفایل

استاد

• Analytical Chemistry
• Bioanalytical Chemistry
• Capillary Electrophoresis
• +۶ مورد دیگر

Timothy G. Strein is a Professor of Analytical Chemistry at Bucknell University, where he also held a Presidential Professorship from 2014-2017. He earned his B.S. from North Carolina State University in 1988 and his Ph.D. from Penn State University in 1992, working on electrochemistry at microvoltammetric electrodes with Dr. Andrew G. Ewing. Following a Camille and Henry Dreyfus Postdoctoral Fellowship at Bucknell (1992-1994), he joined the chemistry faculty where he has served as Department Chair (2010-2014), Acting Chair (2006-2007), and Graduate Coordinator (1998-2006, 2015-). His educational background includes: B.S. in Chemistry from North Carolina State University (1988) Ph.D. in Chemistry from Penn State University (1992) Camille and Henry Dreyfus Postdoctoral Fellowship at Bucknell University (1992-1994) Professor Strein's research focuses on bioanalytical chemistry, with particular expertise in capillary electrophoresis (CE), bile salt micelle structure, chiral separations, aqueous NMR spectroscopy, and isothermal titration calorimetry (ITC). His current work (2025) centers on developing rapid, inexpensive methods for chiral separations using CE, investigating the mechanisms that give rise to chiral separations with bile salt micelles by MEKC-CE, and the underlying thermodynamics driving chiral selection. He also conducts collaborative research using NMR to study bile micelle structure and ICP-MS to determine lithium ion concentrations in human blood, correlating endogenous Li levels with neurological health issues. Analysis of his recent publications (2005-2023) reveals a strong focus on chiral separations using bile salt micelles, with particular emphasis on understanding the molecular mechanisms of chiral recognition. His work spans analytical methodology development, fundamental studies of micellar structure, and applications in bioanalysis. The interdisciplinary nature of his research is evident in publications spanning chemistry, biochemistry, materials science, and medical applications. His scientific recognition includes the Henry Dreyfus Teacher/Scholar Award (TH-98-025). His external funding portfolio demonstrates sustained research support: George I. Alden Trust (2025-2030): $150,000 for HPLC instrumentation Bucknell-Geisinger Research Initiative (2024-2025): $20,000 for lithium concentration studies NSF-ROA Supplement (2021-2022): $29,600 for CE-MS interface development NSF-RUI Grant (2018-2021): $211,552 for chiral separation mechanisms Multiple previous NSF, NIH, and private foundation grants totaling over $1.5 million Professor Strein has mentored numerous undergraduate and MS students, many of whom have gone on to successful careers in academia, industry, medicine, and government. His teaching encompasses analytical chemistry, chemical equilibria, instrumental analysis, forensic chemistry, and general chemistry. He has served the department in various leadership roles and promotes undergraduate research as a central component of his scholarly activities.

Matthew R. Edwardsمشاهده پروفایل

استادیار

• Plasma Physics
• Laser Technology
• Optical Diagnostics
• +۴ مورد دیگر

Matthew R. Edwards is an Assistant Professor of Mechanical Engineering at Stanford University, affiliated with the School of Engineering. His research focuses on high-power lasers and plasma physics, developing optical diagnostics for fluids and plasmas, and exploring light-matter interactions. He holds a PhD and prior degrees from Princeton University in Mechanical and Aerospace Engineering, followed by a Lawrence Fellowship at Lawrence Livermore National Laboratory. Education : PhD in Mechanical and Aerospace Engineering, Princeton University (2019) MA in Mechanical and Aerospace Engineering, Princeton University (2015) BSE in Mechanical and Aerospace Engineering, Princeton University (2012) Research Interests : Edwards' work bridges mechanical engineering and plasma physics, emphasizing ultrafast laser-plasma interactions, plasma-based optical components, and applications in energy science. His lab, the SAPPHIRE Laser Laboratory, explores femtosecond laser technologies for creating novel optical elements (e.g., plasma gratings, holographic lenses) and advancing laser-driven particle acceleration, fusion research, and diagnostic tools. Key areas include: Design of plasma-based optical components for high-power laser control Simulation of laser-matter interactions at relativistic intensities Development of compact light and particle sources Research Trends : His recent articles (2024–2025) highlight advancements in plasma gratings, relativistic birefringence, and laser wakefield acceleration. Notable contributions include ionization-based compression of ultrafast laser pulses and polarization control in underdense plasmas. Awards/Grants : No awards explicitly listed, but his Lawrence Fellowship indicates prior recognition. His work aligns with grants in plasma physics and laser technology. Labs/Teams : He leads the SAPPHIRE Laser Laboratory , collaborating with the PULSE Institute and National Ignition Facility (NIF) on plasma optics and high-energy laser applications.

Gabriella Casalinoمشاهده پروفایل

استادیار

• Computational Intelligence
• eHealth
• Data Stream Mining
• +۵ مورد دیگر

Gabriella Casalino is an Assistant Professor at the University of Bari Aldo Moro, Department of Computer Science, and a key researcher at CILAB - Computational Intelligence Lab. Her work focuses on Computational Intelligence methods for interpretable data analysis, particularly in eHealth, Data Stream Mining, and eXplainable Artificial Intelligence (XAI) within medical and educational domains. She has contributed to innovative approaches in smartphone-based health monitoring, fuzzy logic applications, and remote vital sign detection via photoplethysmography. Education : Ph.D. in Computer Science, with advanced training at institutions like Universitat de Girona and Université de Mons. Research Trends : Recent publications highlight applications of evolving granular computing, neuro-fuzzy systems, and explainable AI in hypertension prediction, bipolar disorder monitoring, and educational data analysis. Key subfields include remote health monitoring, medical data streams, and hybrid AI models. Grants : Research funded by AIRC (Italian Cancer Research Foundation), focusing on computational methods for healthcare challenges. Labs & Collaborations : Active in CILAB, collaborating on projects involving mHealth solutions, cardiovascular risk assessment, and intelligent educational systems.