جستجوی استاد راهنمای دانشگاهی

James B. Rawlingsمشاهده پروفایل

استاد

• Chemical Process Control
• Reaction Engineering
• Model Predictive Control
• +۳ مورد دیگر

James B. Rawlings is the Mellichamp Process Control Chair in the Department of Chemical Engineering at the University of California, Santa Barbara, and holds the rank of Professor. His research focuses on chemical process control, reaction engineering at the molecular level, and computational modeling with tools like Octave. He has held prominent roles, including the Paul A. Elfers Chair at UW Madison and the Steenbock Professor of Engineering. Education: PhD in Chemical Engineering from the University of Wisconsin-Madison (1985), BS in Chemical Engineering from The University of Texas at Austin. Postdoctoral training at the Institute for System Dynamics and Process Control, University of Stuttgart (1985-1986). Research interests include nonlinear systems, model predictive control (MPC), moving horizon estimation (MHE), and stochastic reaction engineering. His work bridges theory and industrial applications, emphasizing robustness and practical implementation. Awards: Elected Fellow of the National Academy of Engineering (2016), IFAC (2016), and IEEE (2012). Recipient of the Process Automation Hall of Fame (2016), Vilas Distinguished Achievement Professor (2015), and numerous AIChE awards. Honorary doctorate from Technical University of Denmark (2011). Grants & Leadership: Led NSF-funded projects on MPC and control systems. Developed Octave, a widely used computational tool. Active in academic leadership and curriculum development, recognized with teaching awards including the Chancellor’s Distinguished Teaching Award (2013). Labs & Teams: Directs research groups focused on control theory, computational tools, and industrial process optimization. Collaborates with industry on MPC implementation and disturbance modeling.

Zvonimir Dogicمشاهده پروفایل

دانشگاهی

• Self-Assembly of Materials
• Condensed Matter Physics
• Active Matter
• +۷ مورد دیگر

Zvonimir Dogic is a Research Associate Professor of Physics at the Martin A. Fisher School of Physics, Brandeis University. He leads the Dogic Lab, focusing on self-assembly of active and soft materials, with interdisciplinary work spanning statistical mechanics, biochemistry, and biophysics. His research explores how particle shape, chirality, and entropic forces drive emergent structures in colloidal systems and active matter. He holds a PhD from Brandeis University (2001) and has supervised numerous PhD students now in academic and industrial roles. Notable honors include the 2010 Cozzarelli Prize and the 2013 Andor Insight Award for his work on oscillating microtubule bundles. Research interests include active matter dynamics, liquid crystalline phases, and biomimetic systems. Recent work includes studies on microtubule-based active gels, chiral colloids, and self-organized cilia-like structures. His lab collaborates with institutions like Harvard, the Mayo Clinic, and the Francis Crick Institute. Key funding sources include the NSF MRSEC, W.M. Keck Foundation, and NIH. The lab’s YouTube channel and Science Blog posts highlight breakthroughs like self-propelled emulsions and entropy-driven membrane formation.

Daniela Kraftمشاهده پروفایل

استاد

• Self-Assembly
• Soft Matter Physics
• Biophysics
• +۴ مورد دیگر

Daniela Kraft is a Professor of Experimental Physics at the Huygens-Kamerlingh Onnes Laboratory , part of the Leiden Institute of Physics (LION) at Leiden University. She obtained her Ph.D. cum laude from Utrecht University and completed postdoctoral research at New York University's Center for Soft Matter Research with a Rubicon grant. Her research bridges self-assembly in soft and biological matter , including colloidal particles , lipid membranes , and active systems . Key awards include the NWO Athena Prize (2019) , ERC Starting Grant , VENI/VIDI fellowships , and the Biophysical Journal Paper of the Year (2017) . She has published extensively in journals like Nature Communications , ACS Nano , and Physical Review Letters , with recent work on membrane-deforming colloids , non-additive interactions , and anisotropic microswimmers . Research Focus : Self-organization principles in biological and synthetic systems, colloidal model systems, and non-equilibrium physics. Labs : Leads the Kraft Lab at Leiden University. Education : Ph.D. in Physics (Utrecht University), Postdoc in Soft Matter Physics (NYU).

R. Dean Astumianمشاهده پروفایل

استاد

• Biophysics
• Condensed Matter Physics
• Molecular Motors
• +۳ مورد دیگر

R. Dean Astumian is a Professor of Physics in the Department of Physics and Astronomy at the University of Maine, based in Bennett Hall (Room 122) with contact details astumian@maine.edu and 207/581-1024. His academic credentials include: B.S. in Chemistry (1978), University of Texas at Arlington M.S. in Chemistry (1982), University of Texas at Arlington Ph.D. in Mathematical Science/Physical Chemistry (1983), University of Texas at Arlington Professor Astumian's research centers on biophysics and condensed matter physics, specializing in chemically driven molecular motors and pumps. His work investigates energy transduction mechanisms at the molecular scale, focusing on non-equilibrium thermodynamics, kinetic asymmetry, and directional motion in synthetic and biological systems. This research bridges fundamental physics with applications in nanotechnology and synthetic biology. His 2023-2025 publications reveal persistent exploration of molecular ratchets, enzyme chemotaxis, and artificial molecular machines. Key themes include dissipation-driven directionality, electric molecular motors, and compartmentalized reaction networks, demonstrating consistent innovation in understanding how chemical energy drives mechanical motion at nanoscales across diverse chemical and biological contexts. Information regarding graduate students, research grants, scientific awards, laboratories, or collaborative teams was not provided in the available text.

John F. Bradyمشاهده پروفایل

استاد

• fluid mechanics
• transport processes
• complex and multiphase fluids

John F. Brady is the Chevron Professor of Chemical Engineering and Mechanical Engineering at the California Institute of Technology. He earned his B.S. from the University of Pennsylvania (1975), M.S. (1977) and Ph.D. (1981) from Stanford University, and has held academic roles at Caltech since 1985, including Executive Officer for Chemical Engineering (1993-99; 2013-19). His research focuses on fluid mechanics, transport processes, and complex/multiphase fluids. Elected to the National Academy of Sciences (20XX) Elected to the American Academy of Arts and Sciences (20XX) Brady's publications reveal expertise in active matter dynamics, microrheology, and non-equilibrium systems. His work spans fundamental fluid mechanics to applied biomedical device design, with a strong emphasis on computational modeling and experimental validation in colloidal and soft matter physics.

Laura Alvarezمشاهده پروفایل

استادیار

• Active matter
• Chemical Communication
• Bio-inspired microsystems
• +۳ مورد دیگر

Laura Alvarez is a Junior Chair (Tenure Track) at the University of Bordeaux since 2022, conducting research at the Paul Pascal Research Center (CRPP), a joint CNRS-University of Bordeaux unit. Her office is located at B-224, 115 Avenue du Dr Albert Schweitzer, 33600 Pessac, France, with contact via (+33) 05 56 84 30 27 or laura.alvarez-frances@u-bordeaux.fr. She leads the BIO 2.0 team's research on active matter and colloidal systems. Her educational trajectory includes: PhD at University of Bordeaux and KU Leuven (2013-2016) under Prof. MP Lettinga and Dr. Eric Grelet Postdoctoral research at ETH Zurich (2017-2021) with Prof. Lucio Isa SNSF Spark postdoctoral fellowship (2020-2021) Her research centers on Active Matter , Chemical Communication , and Bio-inspired microsystems , investigating active liposome design, colloidal-lipid membrane interactions, and collective colloidal behavior. Key methodologies include optical tweezers and microfluidics for studying enzymatic particle navigation and colloidal lattice assembly. Her publication record (2017-2023) reveals a strong focus on programmable active colloids and microfluidic applications , with significant contributions to artificial microswimmers and reconfigurable systems appearing in Nature Communications, PNAS, and Physical Review Letters. Emerging trends show increasing emphasis on biomedical applications of active matter. Key recognitions include: Spark postdoctoral grant (SNSF, 2020) IdEx PhD fellowship (2013) She secured major grants including ANR JCJ Project MYMESYS (2023) and France-Berkeley Fund (2023), while her mentoring role involves graduate student supervision through University of Bordeaux's tenure-track framework. As BIO 2.0 team lead at CRPP, she directs experimental work on active colloidal particles using microfluidic platforms and optical manipulation, maintaining active collaborations with ETH Zurich, University of Bordeaux, and international partners across Europe.

Nan Marie Jokerstمشاهده پروفایل

استاد

• Photonics
• Optoelectronic Devices
• Integrated Optoelectronics
• +۷ مورد دیگر

Nan Marie Jokerst is the J. A. Jones Distinguished Professor of Electrical and Computer Engineering at Duke University's Pratt School of Engineering and Executive Director of the Duke Shared Materials Instrumentation Facility. She previously served as Chair of the Duke Academic Council (2014-2015) and Associate Dean for six years. B.S. in Physics, Creighton University (1982) M.S.E.E., University of Southern California (1984) Ph.D. in Electrical Engineering, University of Southern California (1989) Her research spans chip-scale photonic sensing systems , III-V thin-film lasers on silicon , metamaterials , and heterogeneous integration . She develops optical systems for medical diagnostics, environmental monitoring, and security applications through the Jokerst Laboratory, which combines optical system design, optoelectronic device development, and semiconductor fabrication expertise. Her recent publications show strong focus on terahertz strain mapping using metamaterials, multi-pixel tissue characterization for cancer margin detection, and microfluidic sensing platforms with embedded photodetectors. Key trends include advancing non-destructive structural monitoring and miniaturized biomedical diagnostics through novel photonic integration techniques. IEEE Fellow (2003) Optica Fellow (2001) NSF Presidential Young Investigator Award IEEE Third Millennium Medal IEEE/HP Harriet B. Rigas Medal USC Viterbi School Alumni Award She has advised numerous graduate students in photonic device research and secured major grants including the NSF National Nanotechnology Coordinated Infrastructure ($6M, 2015-2021) and NNCI: North Carolina Research Triangle Nanotechnology Network ($20M, 2020-2026). Her leadership extends to co-founding Triangle Women in STEM and serving on the National Academies Board on Global Science and Technology. The Duke Shared Materials Instrumentation Facility under her direction provides critical cleanroom and characterization resources for interdisciplinary research.

• Computational Physics
• Soft Matter Physics
• Biophysics
• +۳ مورد دیگر

Dr. Andreas Zöttl is a physicist affiliated with the University of Vienna , currently serving as an Assistant Professor in the Computational and Soft Matter Physics department. His research focuses on computational modeling of active matter, microswimmers, and polymer dynamics, with applications in biophysics and soft materials. He teaches courses such as Computational Statistical Mechanics and Biological Physics , emphasizing theoretical and computational methods. His recent work explores reinforcement learning in microswimmer locomotion, chiral particle dynamics, and polymer behavior under shear flow. Research keywords include Machine Learning , Fluid Dynamics , and Soft Matter Physics . Themes span hydrodynamic interactions , active colloids , mesoscale simulations , and non-equilibrium systems . Contact: andreas.zoettl@univie.ac.at

Benno Liebchenمشاهده پروفایل

استاد

• Soft Matter Physics
• Active Matter
• Colloidal Systems
• +۳ مورد دیگر

Prof. Benno Liebchen holds a faculty position at the Technische Universität Darmstadt within the Institute for Condensed Matter Physics , part of the Faculty of Physics. He leads the Liebchen Group , dedicated to advancing research in the Theory of Soft Matter , focusing on active matter, colloidal systems, and non-equilibrium phenomena. His work explores collective behavior in self-propelled particles, phase transitions in active fluids, and adaptive strategies in smart materials. Research Interests include: Active matter dynamics and pattern formation Non-equilibrium statistical mechanics Biophysical systems and biomimetic design Computational modeling of soft matter Recent publications highlight breakthroughs in intelligent active particles , self-reverting vortices , and motility-induced phase coexistence . His lab develops tools like the AMEP Python package to analyze active systems. Teaching responsibilities include advanced modules in soft matter physics. Collaborative projects involve interdisciplinary approaches to microswimmer behavior and machine learning-driven optimization of collective systems. Contact: +49 6151 16-24509 / Office: S2|04 104

• Plasma Physics
• Fluid Dynamics
• Turbulence
• +۴ مورد دیگر

Dr Mahdi Davoodianidalik is a researcher in the Department of Nuclear Physics & Accelerator Applications at the Australian National University (ANU). He is affiliated with the Space plasma power and propulsion group and the Physics of fluids group, focusing on interdisciplinary research at the intersection of plasma physics, fluid dynamics, and space propulsion technologies. His research interests include Turbulence and wave-driven flows Plasma thrusters and electrothermal propulsion Fluctuation-induced forces and interactions Fluid-structure dynamics Thermal engineering of micro-thrusters Nonlinear phenomena in fluids Recent publications highlight his work on analogs of the Casimir effect in turbulent flows, passive propulsion mechanisms, and advanced propulsion systems using solid hydrocarbon propellants. He has contributed to understanding turbulence in both fundamental and applied contexts, with a focus on energy transfer and chaotic flow phenomena. His collaborations span ANU colleagues including Nicolas Francois and Michael Shats, with a strong emphasis on experimental and computational fluid dynamics.

Orlin D. Velevمشاهده پروفایل

استاد

• Colloid Science
• Soft Materials Engineering
• Nanoscience
• +۷ مورد دیگر

Orlin D. Velev is the S. Frank and Doris Culberson Distinguished Professor of Chemical Engineering at North Carolina State University (NC State), part of the College of Engineering. His research focuses on colloid science, soft materials engineering, nanotechnology, and sustainable nanocomposites. He leads the Velev Lab, pioneering innovations in self-propelling microdevices, environmentally benign nanomaterials, and responsive materials for energy and biomedical applications. Velev's academic journey includes a PhD in Physical Chemistry from Sofia University (1999), followed by M.S. and B.Tech degrees in Chemical Engineering from NC State. His work bridges chemistry, physics, and biology, with notable contributions to microfluidics, colloidal assembly, and battery technologies. He has supervised numerous graduate and undergraduate students, fostering interdisciplinary research and innovation. Key research areas include: Directed assembly of colloids using external fields Self-propelling microbots and active particles Sustainable biopolymer composites (e.g., lignin-based nanoparticles) Soft robotic components and smart materials Biodegradable electronics and energy storage solutions Honors include the Braskem Award, AIChE’s Andreas Acrivos Award, and multiple fellowships. His lab’s recent advancements include osmotic-capillary wearable patches for sweat analysis and high-performance lithium-sulfur battery separators using soft dendritic colloids. Velev collaborates extensively, with projects funded by NSF, industry partnerships, and federal grants. His work emphasizes translating fundamental science into real-world applications, such as biodegradable packaging, microplastic remediation, and wearable health monitoring devices.

Hugo N. Ulloaمشاهده پروفایل

استادیار

• Geophysical Fluid Dynamics
• Environmental Fluid Mechanics
• Aquatic Transport and Mixing
• +۳ مورد دیگر

Hugo N. Ulloa is an Assistant Professor in the Department of Earth & Environmental at the University of Pennsylvania School of Arts & Sciences . His research focuses on geophysical and environmental fluid dynamics, particularly transport and mixing processes in natural waters such as lakes and coastal seas. He integrates theory, numerical modeling, laboratory experiments, and field observations to develop mathematical models explaining aquatic environment dynamics. Education: Ph.D. (2015): Fluid Dynamics, Universidad de Chile Civil Engineer Diploma (2011), Universidad de Chile B.Sc. Engineering Sciences & Geophysics (2010), Universidad de Chile Research Interests: Study of mechanically and buoyancy-driven flows in rotating/stratified environments, confinement effects on fluid dynamics, suspended/dissolved tracer behavior, and thermal siphon dynamics in stratified basins. His work emphasizes practical applications to climate change impacts on waterbodies and cryospheric systems. Teaching: Hydrology (EESC 4630/5630) Environmental Fluid Dynamics (4360/6360) Independent Study: Geophysical/Environmental Fluid Dynamics Affiliations: Regular member of AGU, EGU, IAHR, and EUROMECH. Key Research Themes: Thermal convection in ice-covered lakes, buoyancy-driven flows in superconfined systems, and hydrodynamic interactions in aquatic ecosystems. His computational models address both fundamental physics and real-world environmental challenges.

Miguel Angel Fernandez Sanjuanمشاهده پروفایل

استاد

• Nonlinear Dynamics
• Chaos Theory
• Complex Systems
• +۵ مورد دیگر

Miguel Angel Fernandez Sanjuan is a Full Professor of Physics at Rey Juan Carlos University (since 2002) and holds a Professor position in Applied Informatics at Kaunas University of Technology (since 2016). He has held visiting roles at University of Maryland (Fulbright Scholar), Beijing Jiaotong University, and Lanzhou University. Current affiliations: Rey Juan Carlos University (Physics), Kaunas University of Technology (Applied Informatics) Previous institutions: University of Maryland, Beijing Jiaotong University, Universidad Politécnica de Madrid His research spans nonlinear dynamics, chaos theory, and complex systems with applications in: Physics: Chaotic oscillators, Hamiltonian scattering, time-delay systems Neuroscience: Map-based neuron models, synchronization dynamics Engineering: Fault diagnosis, image processing via resonance phenomena Mathematics: Basin entropy, Wada basin analysis Recent publications focus on AI-driven chaos control, aperiodic resonance mechanisms, and biomedical applications. He has over 605 publications and 141k reads on ResearchGate. Scientific honors include: 2024: Foreign Academician, Serbian Academy of Nonlinear Sciences 2023: Full Academician, Spanish Royal Academy of Sciences 2022: James Yorke Award 2020: Chieh-Su Hsu Award Active in editorial roles (International Journal of Bifurcation and Chaos) and international collaborations. Leads the Miguel A.F. Sanjuan Lab researching complex systems and nonlinear phenomena.

Ian Johnstonمشاهده پروفایل

استاد

• Microfluidics
• Biosensing
• Bioaerosols
• +۸ مورد دیگر

Professor Ian Johnston is the Director of the Biodetection Technologies Hub and the Wolfson Centre for Biodetection & Instrumentation Research at the University of Hertfordshire. He leads multidisciplinary research in microfluidics, bioaerosol detection, and antimicrobial nanomaterials. His work spans applications in biosecurity, food safety, and environmental monitoring, with collaborations involving UK defense agencies and institutions like the Pirbright Institute and Universities of Cambridge and Bristol. Affiliations: Wolfson Centre for Biodetection, Microfluidics & Microengineering Research Group Education: BSc (Hons) Physics (University of Leeds, 1994), PhD in Microfluidics (University of Hertfordshire) Research interests include digital microfluidics (EWOD), microfluidic lab-on-a-chip devices, and biodetection systems for in-field applications. His projects address biowarfare threats, aquaculture monitoring, and crop protection. Notable collaborations include developing antimicrobial PDMS polymers and electrowetting-enhanced bioaerosol collectors. Over 30 years of expertise in microfluidics and bioaerosol technologies, with notable contributions to droplet actuation systems and rapid pathogen detection platforms. Projects often involve defense and environmental agencies, emphasizing practical, field-ready solutions. Grants & Projects: Leads or co-leads 40+ projects, including CIBD (Compact Biological Detection), Micro-FloTec (flow technology), and bioaerosol sampling innovations. Recent funding spans 2023–2028 with focuses on hydrogel-based sensing and portable biodetection systems.

• Nanophotonics
• Optical Tweezers
• Active Matter
• +۴ مورد دیگر

Giovanni Volpe is a Professor at the Department of Physics, University of Gothenburg. His research focuses on nanophotonics, optical tweezers, active matter, and machine learning applications in microscopy and neurodegenerative diseases. He leads the Soft Matter Lab (http://softmatterlab.org/) and collaborates internationally in interdisciplinary projects. His work bridges physics, biology, and AI, addressing challenges in nanoparticle manipulation, biomedical imaging, and neurodegenerative disease modeling. Key research areas include optical trapping of nanoparticles, self-assembly of colloidal systems, and leveraging deep learning for microscopy and sensor technologies. Recent publications span neurodegenerative disease pathways, advanced optical microscopy techniques, and plasmonic sensor development. Volpe's team has pioneered methods in computational neuroscience and nanotechnology. His lab's innovations include novel optical tweezers control algorithms and neural network models for analyzing complex biological systems. Collaborations span materials science, biophysics, and cognitive neuroscience, with applications in healthcare and environmental monitoring.