جست‌وجوی استاد و پژوهشگر

Guillaume Blanquartمشاهده پروفایل

استاد

• Combustion
• Turbulent Flows
• Subgrid Scale Modeling
• +۴ مورد دیگر

Guillaume Blanquart is a Professor of Mechanical Engineering at the California Institute of Technology. He holds a B.S. and M.S. from Ecole Polytechnique (2002), an M.S. from Stanford University (2004), and a Ph.D. in Mechanical Engineering (2008). He has been at Caltech since 2009, ascending to full professor in 2015. Research Focus: Combustion processes, turbulent flows, subgrid scale modeling, and computational fluid dynamics Teaching: Courses include ME 11 abc - Thermal Science and Ae/ME 120 - Combustion Fundamentals His research centers on combustion-turbulence interactions , investigating pollutant formation, nano-particle dynamics in turbulence, hydrodynamic instabilities, and flame propagation. He utilizes multi-physics numerical simulations across scales from quantum-level soot inception to vehicle-sized propulsion systems. Scientific Awards: DOE Early Career Research Award NSF CAREER Award Research Excellence Award His publications demonstrate expertise in Rayleigh-Taylor turbulence , detonation modeling , and high-fidelity simulations of combustion systems. Current projects examine acoustic-turbulence interactions, thermal non-equilibrium phenomena, and differential diffusion effects in flames.

Lior Michaeliمشاهده پروفایل

پژوهشگر

• Optical Manipulation
• Metasurfaces
• Nonlinear Optics
• +۳ مورد دیگر

Dr. Lior Michaeli is a Postdoctoral Scholar Research Associate in Applied Physics and Materials Science at the California Institute of Technology, affiliated with the Atwater group. His research focuses on optical dynamic control of macroscopic objects through radiation pressure, contributing to the Breakthrough Starshot Initiative's goal of laser-driven lightsails for space exploration. Education: BSc, MSc, and PhD in Physics from Tel Aviv University. Supervisors: Prof. Tal Ellenbogen and Prof. Haim Suchowski (PhD). Research Interests include metasurfaces, nonlinear optical effects, and light-matter interactions. His work extends collective dynamics formalism to nonlinear optical regimes and explores radiation pressure applications for spacecraft propulsion. Current projects involve silicon nitride metagratings and self-stabilizing lightsails. Scientific Trends from his publications highlight advancements in third harmonic generation , coherence-aware diffractive networks , and high-quality factor metasurfaces , bridging photonic manipulation with aerospace engineering. Key subfields include optical bistability, surface lattice resonances, and tunable topological singularities. Scientific Awards: Fulbright Scholar Labs & Teams: Works at Caltech's Atwater group, collaborating on the Breakthrough Starshot Initiative for space exploration through photonic propulsion.

Zuzana Čičkováمشاهده پروفایل

دانشیار

• Operations Research
• Game Theory
• Econometrics
• +۲ مورد دیگر

Zuzana Čičková is an Associate Professor at the Department of Operations Research and Econometrics, Faculty of Economic Informatics, University of Economics in Bratislava. Her work bridges computational intelligence, game theory, and economic modeling, with a focus on spatial competition, logistics, and market dynamics. Academic Rank: Associate Professor Department: Operations Research and Econometrics University: University of Economics in Bratislava Her research spans game theory, vehicle routing, and econometric modeling. Recent projects include multi-criteria game theory applications in spatial allocation (2022), analysis of Arctic shipping routes (2022), and optimization of recycling networks under VEGA grants. She has contributed to algorithm design (SOMA/DE) and market concentration indicators like the Herfindahl-Hirschman Index. Her publications reflect expertise in computational intelligence for economic problems, including vehicle routing with time windows , spatial competition models , and data-driven decision support systems . While no explicit awards are listed, her leadership in VEGA projects (2017-2025) and international collaborations with institutions like Bifröst University and Óbuda University underscores her academic impact. 31 Web of Science/Scopus publications with 98 citations 8 invited lectures at international/national conferences PhD in Econometrics and Operations Research (2005) Teaching since 2001, advising 38 master’s theses She has undertaken international mobilities in Iceland (2014, 2022), Germany (2007), Czech Republic (2022), and Spain (2022), focusing on research and pedagogical innovation. Her current projects include VEGA 1/0115/23 on cooperative game theory in international relations (2023-2025).

Chenyu Wenمشاهده پروفایل

استادیار

• Solid-State Nanopores
• DNA Sequencing
• Signal Processing Algorithms
• +۵ مورد دیگر

Chenyu Wen is an Assistant Professor at the Department of Electrical Engineering; Solid State Electronics , Uppsala University . His research focuses on: Solid-State Nanopores DNA Sequencing Technologies Signal Processing Algorithms Wearable Electronic Sensors His recent work explores neuromimetic tactile systems and machine learning applications for nanopore sensing. Key collaborations include researchers like Shiyu Li , Zhen Zhang , and Shi-Li Zhang . Publications span high-impact journals including Science , Nature Nanotechnology , and ACS Nano .

• Power System Engineering
• Energy Management
• Microgrid Optimization
• +۷ مورد دیگر

Pratik Harsh is a Post-doctoral Research Associate at Durham University , UK, affiliated with the Department of Engineering and the Electrical Power research group. His work addresses global challenges in energy systems through the lens of UN Sustainable Development Goals 7 (Affordable Energy) and 12 (Sustainable Consumption). Education: Ph.D. in Electrical Engineering (2018–2023) from Indian Institute of Technology Kharagpur , with a focus on "Optimal energy management of reconfigurable microgrid using demand response program" Research Interests Pratik specializes in power system engineering with particular emphasis on: Advanced energy management systems for microgrids and virtual power plants Innovative grid reconfiguration strategies for distribution networks Electric vehicle integration (G2V/V2G) in smart grids Application of metaheuristic optimization to energy systems Development of digital twin technologies for integrated energy systems Creation of resilient protection frameworks for hybrid microgrids Publication Trends Pratik's research output demonstrates a clear focus on: Evolution from traditional congestion management (2018) to sophisticated digital twin applications (2025) Progression from basic EV charging coordination to priority-ordered smart charging strategies Development of scalable protection frameworks using modern graph learning techniques Integration of deep learning (LSTM networks) for energy profile identification Advancement of stochastic incentive-based demand response programs for VPPs Application of multi-objective optimization to peer-to-peer energy trading systems UN Sustainable Development Goals His research directly contributes to: SDG 7 : Affordable and clean energy SDG 12 : Responsible consumption and production

Corban Harwoodمشاهده پروفایل

استاد

• Numerical Partial Differential Equations
• Mathematical Modeling
• Applied Mathematics
• +۵ مورد دیگر

Corban Harwood is a Professor of Mathematics and Chair of the Department of Mathematics at George Fox University. He teaches courses such as Calculus, Differential Equations, Numerical Methods, and Advanced Linear Algebra, integrating his research on numerical partial differential equations into pedagogy. His research focuses on developing and analyzing numerically stable algorithms for solving nonlinear and parabolic partial differential equations, with applications in chemical reaction-diffusion, wave propagation, and environmental modeling (e.g., algal blooms, disease spread). His work emphasizes minimizing computational errors and time while ensuring solution reliability. Key trends in his publications include interdisciplinary applications of mathematics, algorithm stability analysis, and pedagogical frameworks for project-based learning. He has also collaborated on models for battery design and ecological systems.

Philip Clemsonمشاهده پروفایل

پژوهشگر ارشد

• Time Series Analysis
• Complex Systems
• Chaotic Systems
• +۷ مورد دیگر

Dr. Philip Clemson is a Senior Research Associate in the Department of Physics at Lancaster University, specializing in the time series analysis of complex systems. His work focuses on chaotic and stochastic data, particularly from non-autonomous (time-dependent) systems, with significant applications in biomedical physics and living systems. He has extensive experience in industry, having developed algorithms for medical devices and wearable technology. His research also encompasses numerical Bayesian statistical techniques using Markov chain Monte Carlo and sequential Monte Carlo methods. Current projects include phase coherence analysis for autonomic neuropathy diagnosis and network dynamics-based standards for endothelial health, reflecting his interdisciplinary approach between physics and biomedical applications. 2024: Phase coherence in autonomic neuropathy diagnosis 2023-2024: Network dynamics for endothelial health standards His recent publications demonstrate expertise in time-localized analysis, cardiovascular dynamics, and chronotaxic systems. Dr. Clemson is part of the Nonlinear and Biomedical Physics research group within the Physics Department.

Majid Manteghiمشاهده پروفایل

دانشیار

• Antenna Engineering
• Electromagnetic Fields
• Wireless Communication Systems
• +۴ مورد دیگر

Majid Manteghi is an Associate Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Polytechnic Institute and State University (Virginia Tech). He holds a Ph.D. in Electrical Engineering from UCLA (2005), and M.S. and B.S. degrees from the University of Tehran (1997 and 1994). His research focuses on advanced antenna systems, electromagnetic theory, and wireless communication technologies. Manteghi’s work emphasizes antenna array design, mutual coupling mitigation, RFID systems, and applications in biomedical engineering such as transcranial magnetic stimulation. Key research areas include: Electromagnetic field manipulation for high-efficiency antennas Low-power ultra-low-frequency (ULF) transmitter design Calibration-free antenna characterization techniques Parametric amplifier-based impedance matching RFID systems using distributed exciter networks His recent publications (2022-2025) highlight innovations in antenna array mutual coupling reduction, transcranial magnetic stimulation efficiency, and broadband parametric impedance matching. Manteghi has contributed to both theoretical advancements (e.g., Array Coupling Index) and practical implementations (e.g., self-sustaining maritime mesh networks). No formal scientific awards are explicitly listed in the provided materials. His research group actively explores electromagnetic challenges in underwater communication, medical devices, and energy-efficient wireless systems.

Khalid Moinuddinمشاهده پروفایل

استاد

• Wildland Fire Modelling
• Fire Dynamics
• Fire Risk Analysis
• +۶ مورد دیگر

Khalid Moinuddin is a Professor and Executive Director at Victoria University's Institute for Sustainable Industries and Liveable Cities (ISILC). He leads the Fire Research Group, focusing on computational and experimental studies in combustion, fire dynamics, and fire risk analysis. His research includes developing physics-based wildfire models and naval fire safety systems, generating over $1.4M in grants. He holds a PhD from the University of Melbourne (2004) and a Graduate Diploma in Building Fire Safety from Victoria University (2007). Education: PhD, The University of Melbourne, 2004 Graduate Diploma in Building Fire Safety and Risk Engineering, Victoria University, 2007 Bachelor of Engineering (Mechanical), National University of Science and Technology, Pakistan, 1996 Bachelor of Science, University of Chittagong, Bangladesh, 1991 Research Interests: Wildland fire modelling, enclosure fire dynamics, fire suppression systems, pyrolysis modelling, and naval fire safety engineering. He has pioneered two major research streams: wildfire models ($1.4M grants) and fire safety in naval applications ($360K grants). Grants & Funding: 2024: Physics-based modelling of field-scale junction fire ($105K) 2023: ABCB Cavity Barrier Literature Review (undisclosed) 2021: Discovery Projects on extreme fires and gravity currents ($11K total) Advising & Teaching: Supervised 7 completed PhDs, 1 Master’s, and currently oversees 4 PhD students. Taught courses like Fire Safety Engineering Applications and Fluid Dynamics. Modernized fire safety curricula to align with professional certifications. Labs & Teams: Part of ISILC’s Fire Research Group, collaborating with institutions like the Defence Science and Technology Group and BAE Systems. Research focuses on firebrand transport, water mist suppression, and fire spread prediction.

Timoteo Carlettiمشاهده پروفایل

استاد

• Complex Systems
• Dynamical Systems
• Network Science
• +۴ مورد دیگر

Timoteo Carletti is a Full Professor in the Department of Applied Mathematics at the University of Namur, Belgium, and a leading researcher at the Namur Institute for Complex Systems (naXys). He has been with the University of Namur since 2005, progressing from lecturer to professor in 2008 and Full Professor in 2011. Carletti co-founded the Namur Center for Complex Systems in 2010 and directed it until 2014. His academic journey includes postdoctoral research at Paris XI, IMPA in Rio de Janeiro, Scuola Normale Superiore in Pisa, and the University of Padova. Carletti earned his Master's degree in Physics from the University of Florence in 1995 and completed his Doctorate in Mathematics there in 2000 with a thesis on "Stability of orbits and Arithmetics for some discrete dynamical systems." His research spans diverse fields including biology, celestial mechanics, chaos detection, complex networks, control of systems, dynamic systems, economics, particle accelerators, and social dynamics. With over 150 publications and an h-index of 26 (2,450 citations), his work demonstrates significant impact in the field of complex systems. His research focuses on complex networks , synchronization phenomena , higher-order interactions , and pattern formation . Recent work explores synchronization in matrix-weighted networks, chimera states on directed hypergraphs, topological Dirac synchronization, and control strategies for desynchronizing Kuramoto oscillators. His publication record shows a clear evolution from traditional network analysis toward increasingly complex higher-order structures and topological approaches to understanding dynamical systems. Carletti has led numerous significant research projects including EMOTIONS (Emergent MOTifs in IntercONnected Systems), Be-neXst (Belgian advanced studies on compleX systems), and UNDER-NET (underground fungal networks). He served as President of the Graduate School FNRS "Non-linear phenomena, Complex Systems and Statistical Mechanics" from 2011-2017 and has organized major international conferences including ECCS12 in Brussels. As an educator, Carletti has supervised numerous PhD and Master's theses across mathematics, economics, biology, and computer science. His upcoming activities for 2025 include hosting researchers, delivering invited talks on global synchronization, and organizing the Perspectives in Nonlinear Dynamics conference and the International School and Conference on Network Science.

• Quantum Computing
• Trapped Ions
• Quantum Sensing
• +۳ مورد دیگر

Associate Professor Erik Streed is Director of the Queensland Quantum and Advanced Technologies Research Institute at Griffith University. An experimental quantum physicist with PhD from MIT (Nobel laureate W. Ketterle group), his research spans trapped ion quantum computing, integrated photonics, quantum sensing, and applications in biosensing and materials science. Research foci: Trapped ion quantum networking over optical fibers Quantum sensing with 3C-SiC/Si heterojunctions Ultrafast coherent control of ytterbium ions Quantum optomechanics for communication Nanoscale biosensing using functionalized cantilevers Pioneered lighthouse-inspired segmented optics for trapped ion systems, enabling first imaging of a single atom's shadow. Leads ARC and defence-funded projects including 'Quantum Atom Optic Chip Sensors' ($300K) and 'Nano optoelectronic coupling' ($631K). Recipient of Queensland Young Tall Poppy Science Award (2011) and Best Paper Award for single-atom imaging (2013). Mentors doctoral candidates in quantum technologies and serves as Australian National Fabrication Facility Queensland Node Director.

Alexander Marrasمشاهده پروفایل

استادیار

• Biomolecular Self-Assembly
• Nanotechnology
• DNA-Based Sensors and Actuators
• +۵ مورد دیگر

Alexander Marras is an Assistant Professor in the Walker Department of Mechanical Engineering at The University of Texas at Austin, affiliated with the Texas Materials Institute. He holds a PhD from The Ohio State University (Presidential Fellow) and completed postdoctoral research at the University of Chicago and Argonne National Laboratory. His research focuses on biomolecular self-assembly, DNA-based nanotechnology, and smart biohybrid materials. Notable achievements include pioneering work on DNA origami mechanisms and contributions to mRNA nanoparticle characterization. Education: PhD in Mechanical and Aerospace Engineering (Ohio State University), Postdoctoral Research at Pritzker School of Molecular Engineering (University of Chicago). His lab develops nanoscale engineering solutions for nucleic acid delivery, DNA sensors, and biohybrid systems. Awards include the Best Poster Award at Foundations of Nanoscience and recognition as a Presidential Fellow. Research interests span structural design of nanoparticles, polyelectrolyte complex micelles, and biomimetic materials. His group’s work bridges mechanical engineering with molecular biology, emphasizing translational applications in healthcare and nanotechnology. Recent projects include vaccine stability studies and photoacoustic imaging agents. Key roles: Co-chair of Biomolecular Self-Assembly sessions (AIChE), Guest Editor of Applied Sciences, User Executive Committee member (Lawrence Berkeley National Lab Molecular Foundry). Labs/Teams: Marras Research Group at UT Austin.

Raphaël Tinarrageمشاهده پروفایل

پژوهشگر ارشد

• Topological Data Analysis
• Combinatorial Topology
• Medical Image Analysis
• +۳ مورد دیگر

Raphaël Tinarrage is a Research Fellow at the Institute of Science and Technology Austria (ISTA), part of the Wagner group. Previously, he held a postdoctoral position at FGV EMAp (Brazil) and was an Assistant Professor at Université Paris-Saclay (2017–2020). His research focuses on Topological Data Analysis (TDA), including theoretical advancements and practical applications in medical imaging, legal document analysis, and equivariant neural networks. Education: He earned his PhD from Université Paris-Saclay and Inria, advised by Fred Chazal and Marc Glisse (2017–2020). His dissertation, Topological Inference from Measures and Vector Bundles , introduced novel methods for topological data analysis. Research Interests: Tinarrage explores topological inference (e.g., stability of persistent homology), combinatorial topology (triangulation, Lusternik–Schnirelmann category), and applications like medical image segmentation and legal text analysis. His work bridges theoretical mathematics with computational tools, emphasizing practical implementations. Key Publications (2021–2025): Recent articles include LieDetect (2025) for Lie group symmetry detection, Empirical Analysis of Brazilian Supreme Court Precedents (2025), and ZigzagNetVis (2025) for dynamic graph visualization. Preprints include Train-Free Segmentation in MRI (2024). Teaching & Advising: He taught courses on topology and TDA at FGV EMAp and Université Paris-Saclay. He advised multiple students on projects involving legal NLP and TDA applications. Labs & Tools: His PhD work is implemented in the velour Python package. Code for other projects is available on his GitHub repository.

Manish Singhمشاهده پروفایل

استادیار

• Power Systems
• Optimization
• Control Systems
• +۴ مورد دیگر

Manish Singh is an Assistant Professor in the Department of Electrical & Computer Engineering at the University of Wisconsin-Madison. His work focuses on advancing power systems and energy networks through the integration of optimization, control theory, and machine learning. He holds a PhD from Virginia Tech (2021), MS from Virginia Tech (2018), and BS from IIT Varanasi (2013), with prior industry experience in the power sector (2013–2016). Research Interests: Modeling, optimization, and control of power systems; data-driven methods for energy networks; and interdisciplinary approaches for natural gas and water systems. Notable contributions include physics-informed machine learning for voltage stability, grid-forming inverter dynamics, and topology-aware control strategies for distributed energy resources. Education: PhD in Electrical Engineering, Virginia Tech (2021) MS in Electrical Engineering, Virginia Tech (2018) BS in Electrical Engineering, Indian Institute of Technology, Varanasi (2013) Recent work emphasizes smart grid resilience, low-frequency oscillation mitigation, and self-supervised learning algorithms for system modeling. His research has been recognized with awards such as the ABB Research Award (Top 5 Finalist, 2022) and the Blackwell Graduate Research Award (Second Prize, 2022). Notable Awards: 2022 ABB Research Award Finalist 2022 Blackwell Graduate Research Award 2019 INFORMS ‘Frame that Problem’ Winner 2007 KVPY Fellowship (Government of India) Teaching Activities: Courses include Signals and Systems (E C E 330), Electric Power Systems (E C E 427), and Advanced Independent Study (E C E 699). His academic contributions extend to collaborative projects on grid-forming inverters and energy network interoperability through the UNIFI Consortium.

Eric Hunterمشاهده پروفایل

استاد

• Occupational Voice Use
• Signal Processing
• Biomechanics of Speech
• +۳ مورد دیگر

Eric Hunter, PhD, is the Department Executive Officer (DEO) and Chair of the Department of Communication Sciences and Disorders at the University of Iowa, as well as the Harriet B. and Harold S. Brady Chair in Liberal Arts and Sciences. His research focuses on occupational voice use in educators, signal processing, biomechanics of speech articulators, and muscle mechanics. A Fellow of the Acoustical Society of America, his work bridges clinical voice disorders and interdisciplinary collaboration in health research. Previously, he served as Senior Associate Dean for Research at Michigan State University’s College of Communication Arts and Sciences and directed the Trifecta Initiative for Interdisciplinary Health Research. His NIH-funded studies prioritize teacher vocal wellness, classroom acoustics, and biophysical models of voice production. Research Interests: Voice Biomechanics Acoustic Voice Analysis Teacher Vocal Health Signal Processing Interdisciplinary Health Research Swallowing-Voice Interactions Lab & Collaborations: The Voice Biomechanics and Acoustics Lab (V-BAL) at UI unites experts in acoustics, engineering, linguistics, and clinical practice. Key projects include developing machine learning tools for voice disorder screening and understanding vocal effort in multilingual speakers. Awards: Fellow, Acoustical Society of America Advising & Grants: Leads NIH-funded projects on vocal load and fatigue. Collaborates with educators and administrators to design interventions for workplace voice preservation.