جست‌وجوی استاد و پژوهشگر

Vincenzo Carnevaleمشاهده پروفایل

دانشیار

• Statistical Physics
• Machine Learning
• Protein Structure-Function Relations
• +۳ مورد دیگر

Vincenzo Carnevale is an Associate Professor in the Department of Biology at Temple University's College of Science and Technology. He holds a B.Sc. and M.Sc. in Physics from the University of Pisa and a Ph.D. from SISSA in Trieste, Italy. His research group focuses on statistical physics and machine learning to study sequence-structure-function relations in proteins, epistasis in molecular evolution, and self-organization in biomolecules. Key themes include how interactions drive collective phenomena and emergent behaviors in biological systems, with a long-term goal of understanding electrical signaling in excitable cells. Recent work spans computational approaches in medical applications (e.g., AI in obstetrics-gynecology diagnostics), lipid-ion channel interactions, and genotype imputation algorithms. His methods include molecular dynamics simulations, Monte Carlo techniques, and deep learning frameworks. Carnevale has no listed scientific awards, but his work emphasizes interdisciplinary collaborations at the interface of physics, biology, and computer science. He contributes to programs like Molecular and Cellular Biology and maintains a lab focused on theoretical/computational biology.

Roberto Menichettiمشاهده پروفایل

پژوهشگر

• Theoretical Physics
• Computational Physics
• Statistical Mechanics
• +۷ مورد دیگر

Roberto Menichetti is a theoretical physicist at the University of Trento , affiliated with the Department of Physics and the VARIAMOLS research group . His work integrates computational physics, statistical mechanics, and machine learning to model biomolecules and soft matter systems. Prior roles include postdoctoral research at the Max Planck Institute for Polymer Research (2016-2018) and academic training at the University of Rome 'La Sapienza'. PhD in Physics (La Sapienza, 2016) BSc/MSc in Physics (La Sapienza, 2012) His research spans: Coarse-Graining Methods for polymers, colloids, and biomolecules High-throughput Molecular Dynamics Simulations in drug-membrane permeability studies Integration of Machine Learning with physical models for multi-scale analysis Applications in Biophysics (e.g., chromatin condensates, protein dynamics) Article trends highlight his focus on computational frameworks like EXCOGITO and theoretical investigations of non-equilibrium systems and allosteric regulation . He actively develops tools for systematic model reduction and conformational sampling in biomolecular systems. Contact: roberto.menichetti@unitn.it

Andy Sarlesمشاهده پروفایل

دانشیار

• biomaterials engineering
• biomimetic membranes
• neuromorphic computing
• +۳ مورد دیگر

Andy Sarles is the James Conklin Fellow and Associate Professor in the Department of Mechanical, Aerospace and Biomedical Engineering at the University of Tennessee, Knoxville. He leads the Sarles Group, which specializes in bio-inspired materials and interfaces, focusing on biomembranes and neuromorphic computing. He holds a Ph.D. (2010) and M.S. (2006) from Virginia Tech and a B.S. (2004) from the University of Tennessee, Knoxville. His research explores biomimetic membranes for sensing, energy conversion, and actuation, alongside nanomaterial interactions and soft, reconfigurable materials. Key projects include droplet interface bilayers (DIBs) for neuromorphic systems and mechanotransduction studies. Rewarded with the NSF CAREER Award (2018), Tickle College Professional Promise in Research (2018), and UT Research Foundation Innovation Award (2016), his work bridges engineering and biology. He advises Ph.D. and M.S. students like Subhadeep Koner, Colin Basham, and Joseph Tawfik, advancing interdisciplinary research in adaptive materials. The Sarles Group’s lab develops cell-inspired materials for neuromorphic computing, with applications in smart sensors and bioelectronic interfaces. Recent breakthroughs include memristive biomembranes mimicking synaptic plasticity, published in ACS Nano and other journals.

John Quinnمشاهده پروفایل

استادیار

• Corporate Law
• Company Law Regulation
• Sustainability
• +۷ مورد دیگر

Dr. John Quinn is an Assistant Professor of corporate law at Dublin City University's School of Law and Government within the Faculty of Humanities & Social Sciences. He serves as Chair of the LLM and MA in Data Protection & Privacy programs and pioneered the interdisciplinary MA in Data Protection and Privacy collaboration with the School of Computing. His research focuses on corporate law's role in regulating companies, emphasizing sustainability, digital privacy, corporate social responsibility, and insolvency. Education: BCL (2009), LLM (2011) from NUI Galway; PhD (2015) from DCU. Admitted to the New York bar in 2013. Professional Experience: Previously lectured at University College Dublin's Quinn School of Business. Contributed to the Irish Law Reform Commission's 2018 report on Regulatory Powers and Corporate Offences and acted as national expert for an EU Commission project on corporate transparency (2023). His research interests span corporate governance, regulatory frameworks, and the intersection of technology with legal systems. He has published in journals like Law, Innovation and Technology and International Data Privacy Law , and contributes annual updates on Irish company law to Commercial Law Practitioner . His work bridges legal scholarship with practical corporate governance challenges, emphasizing ethical accountability and systemic reforms.

Jay D. Schieberمشاهده پروفایل

استاد

• Polymer Physics
• Fluid Dynamics
• Thermodynamics
• +۳ مورد دیگر

Jay D. Schieber is a Professor of Chemical Engineering, Applied Mathematics, and Physics at Illinois Institute of Technology, and Director of the Center for Molecular Study of Soft Condensed Matter. He holds academic affiliations with the Armour College of Engineering, Lewis College of Science and Letters, and College of Computing. His research focuses on kinetic theory of macromolecules, polymer rheology, and thermal conductivity in polymeric materials. He earned a B.S. in Chemical Engineering from the University of Illinois at Urbana-Champaign (1982) and a Ph.D. from the University of Wisconsin-Madison (1989), followed by an NSF-NATO postdoctoral fellowship in Physics at the University of Fribourg, Switzerland (1990). Professor Schieber’s research group employs molecular dynamics simulations and finite element methods to model polymeric liquid behavior during processing. Collaborating with Professor David Venerus, he pioneered an optical technique (Forced Rayleigh Light Scattering) to measure anisotropic thermal conductivity in deformed polymer melts. His work integrates computational fluid dynamics, thermodynamics, and experimental physics to advance soft condensed matter science. Contact: schieber@iit.edu | Room 138 University Technology Park, Chicago, IL | Phone: 312.567.3046

Aniket Palمشاهده پروفایل

استادیار

• Soft Robotics
• Mechanical Metamaterials
• Mechanical Instabilities
• +۳ مورد دیگر

Aniket Pal is a Junior Professor (Assistant Professor) at the Institute of Applied Mechanics (MIB) at the University of Stuttgart, where he leads the Soft Robot Mechanics Group. He holds affiliations with the International Max Planck Research School for Intelligent Systems (IMPRS-IS), Stuttgart Centre for Simulation Science (SimTech), and Centre for Bionic Intelligence Tübingen Stuttgart (BITS). His research focuses on soft robotics, mechanical metamaterials, and mechanical instabilities, with applications in bioengineering and wearable technologies. Education: PhD in Industrial Engineering from Purdue University (2015–2020) Bachelor of Engineering in Production Engineering from Jadavpur University (2010–2014) Dr. Pal's research interests bridge soft materials, robotics, and mechanical metamaterials, emphasizing applications in healthcare and autonomous systems. He explores omniphobic materials for smart bandages, magnetic putty for soft robotics, and hydrogel-based actuators. His work integrates mechanical computing and mechano-intelligence into functional materials. Notable contributions include waterproof electronic decals for biofluid monitoring, programmable magnetic devices, and low-cost smart bandage technologies. He is a recipient of the Humboldt Postdoctoral Fellowship (2020–2023) and has collaborated with the Max Planck Institute for Intelligent Systems. Labs/Teams: Soft Robot Mechanics Group at the University of Stuttgart Member of SimTech and BITS

Glenn Harvelمشاهده پروفایل

استاد

• Diagnostic Techniques
• Energy Systems
• Nuclear Design
• +۸ مورد دیگر

Dr. Glenn Harvel is a Professor in the Department of Energy and Nuclear Engineering at Ontario Tech University, located in Oshawa, Ontario. He holds a PhD in Nuclear Engineering (McMaster University, 1995) and has over three decades of academic and research experience. His expertise spans nuclear safety, energy systems optimization, and advanced diagnostic techniques. Education: PhD in Nuclear Engineering, McMaster University (1995) Master of Engineering in Engineering Physics, McMaster University (1991) Bachelor of Engineering, McMaster University (1989) Research Focus: Dr. Harvel’s research integrates Diagnostic Techniques (neutron radiography, ultrasonics), Energy Systems (EHD-driven pollution control and heat transport), and Nuclear Design (small modular reactors and plant aging mitigation). Recent work includes supercritical fluid thermal analysis and non-destructive material evaluation. Recent Research Trends: His 2013 publications emphasize supercritical fluid dynamics and advanced reactor cooling systems. Collaborations with industry (e.g., Toyota, CSA) and organizations (NSERC, OCE) highlight applied research in sustainable energy and nuclear safety. Affiliations and Memberships: Member of Canadian Nuclear Society Member of ASME Member of IEEE-DEIS Licensed Professional Engineer (PEO) Teaching: He instructs courses in nuclear plant design, safety, thermalhydraulics, and reactor engineering. Research Infrastructure: Based at the Energy Systems and Nuclear Science Research Centre (ERC), his lab focuses on experimental and computational analysis of energy systems and nuclear components.

Shachar Karivمشاهده پروفایل

استاد

• Economic theory
• Experimental economics
• Behavioral economics
• +۷ مورد دیگر

Shachar Kariv is the Benjamin N. Ward Professor of Economics at the University of California, Berkeley. He earned his Ph.D. in Economics from New York University in 2003 and has been a faculty member at UC Berkeley since joining that year. His academic career includes leadership roles as Department Chair (2014-17, 2021-22) and Director of the UC Berkeley Experimental Social Science Laboratory (Xlab) from 2008 to 2014. He co-founded Xmobile, a smartphone-based platform for social science experiments. Ph.D., Economics, New York University (2003) M.A., Economics, New York University (2000) B.A., Economics, Tel Aviv University (1998) Kariv's research focuses on economic theory, experimental economics, and behavioral economics, with particular emphasis on social networks, personal and social preferences, decision-making under uncertainty, and network architecture. His work often combines theoretical models with laboratory experiments to analyze individual and collective economic behavior. Kariv's recent publications explore topics such as social learning , transfer performance of predictive models , and choice under risk and uncertainty . These works employ experimental data to investigate how individuals process information, make spending decisions, and interact within networked environments. UC Berkeley Haas School of Business Cheit Award for Excellence in Teaching (2012) UC Berkeley Division of Social Sciences Distinguished Teaching Award (2008) NYU College of Arts and Science Outstanding Teaching Award (Golden Dozen) (2002) Sloan Research Fellowship (2009-10) Outstanding Dissertation Award, NYU Graduate School of Arts and Science (2003) Kariv has received major grants from institutions like the Alfred P. Sloan Foundation , National Science Foundation , and Center on the Economics and Demography of Aging (CEDA) . His professional activities include editorial roles at prestigious journals such as the Review of Economics and Statistics and Games and Economic Behavior . He has also held visiting professorships at institutions including Stanford University, University of Oxford, and NHH Norwegian School of Economics.

Xiaochun Liمشاهده پروفایل

استاد

• Scifacturing (science-driven manufacturing)
• Nanotechnology Enabled Metallurgy
• Scalable Nanomanufacturing
• +۲ مورد دیگر

Xiaochun Li is a Professor at the Department of Mechanical and Aerospace Engineering within the College of Engineering at the University of California, Los Angeles. Holding the Raytheon Endowed Professorship in Manufacturing Engineering, his work bridges materials science and advanced manufacturing technologies. Education: PhD (Mechanical Engineering, Stanford University, 2001), MS (Industrial, System and Welding Engineering, Ohio State University, 1997), BS (Mechanical Engineering and Applied Physics, Tsinghua University, 1992) Research Focus: Dr. Li specializes in science-driven manufacturing (scifacturing), leveraging nanotechnology to revolutionize metallurgy and scalable nanomanufacturing. His work explores smart manufacturing systems, additive manufacturing techniques, and nanoparticle-enabled phase control to overcome traditional material processing limitations. Publication Trends: His research spans nanoparticle integration in metals, fusion-based manufacturing innovations, and sensor-embedded process monitoring. Topics include unconventional welding methods, solidification control, composite synthesis, and thermal behavior analysis, reflecting interdisciplinary expertise in materials science, mechanical engineering, and nanotechnology. Scientific Recognition: Awards include the prestigious SME Frederick W. Taylor Research Medal (2025), ASME William T. Ennor Manufacturing Technology Award (2022), and Fellowships from ASME, SME, and the International Society of Nanomanufacturing. His NSF CAREER Award (2002) and multiple AFS honors highlight early-career impact. Laboratory: Dr. Li leads the Scifacturing Laboratory , which develops science-driven manufacturing solutions that address critical challenges in materials processing and industrial scalability.

John W. Byersمشاهده پروفایل

استاد

• Computer Networking
• Internet Platforms
• Data Analytics
• +۴ مورد دیگر

John W. Byers is a Professor in the Department of Computer Science at Boston University since 1999. He holds dual roles as Founding Chief Scientist and Board Member at Cogo Labs (founded in 2005 as Adverplex, Inc.), where he oversees technology platforms for online advertising and data science analytics. His research bridges theoretical computer networking with empirical studies of Internet platforms like Airbnb and Groupon. Education: Ph.D. in Computer Science from U.C. Berkeley. Research Focus: Byers explores algorithmic challenges in transport protocols, network architecture design, and the sharing economy's economic impacts. His work on platforms like Airbnb and Groupon examines reputation systems, user behavior, and market dynamics. Recent projects include liquid wireless networking for rural applications and optimizing ride-hailing fleet coordination. Publications: Over 50 peer-reviewed articles spanning network architecture (e.g., XIA), streaming systems (liquid transport protocols), and sharing economy analyses. Key themes include data-driven experimentation and cross-disciplinary solutions for evolving internet challenges. Industry Engagement: Cogo Labs incubates tech startups leveraging his research in algorithmic marketing and data analytics. Byers' work frequently bridges academia and industry, addressing real-world scalability and economic factors in digital ecosystems.

• Condensed Matter Physics
• Quantum Materials
• Superconductivity
• +۴ مورد دیگر

Prof. Dante Kennes is a University Professor at RWTH Aachen University, leading the Chair of Theoretical Physics of Condensed Matter. His research focuses on quantum materials, strongly correlated systems, and cavity quantum electrodynamics. Key areas include superconductivity in twisted bilayer systems, moiré heterostructures, and non-equilibrium phenomena in low-dimensional materials. He explores theoretical frameworks such as functional renormalization group methods and topological phase transitions. Recent work emphasizes cavity-coupled systems, light-induced superconductivity, and the interplay between electronic correlations and topological properties. His publications address topics like van Hove singularity heterogeneity in graphene, nematicity in kagome metals, and experimental signatures of moiré-engineered phases. Kennes' research bridges theoretical predictions with experimental observability through advanced modeling techniques. His contributions span advanced computational methods for many-body systems and proposals for novel quantum materials characterization. Despite his prolific output, no formal student advisees or awards are explicitly listed in the provided materials.

Adele Lichtenberger Igelمشاهده پروفایل

استاد

• Cloud Physics
• Aerosol-Cloud Interactions
• Atmospheric Modeling
• +۵ مورد دیگر

Adele Lichtenberger Igel is a Professor in the Department of Land, Air, and Water Resources at the University of California, Davis. She leads the Cloud Physics Group, focusing on cloud processes, aerosol-cloud interactions, and microphysics parameterization in atmospheric models. Her research integrates modeling, observations, and theory to understand cloud properties, precipitation formation, and climate feedbacks. Affiliations: Cloud Physics Group, UC Davis; Atmospheric Science Graduate Group. Teaching: Courses include ATM5 (Global Climate Change), ATM128 (Radiation and Satellite Meteorology), and ATM244 (Cloud and Precipitation Physics). Research interests span aerosol effects on cloud dynamics, bulk microphysics scheme development, Arctic mixed-phase clouds, and convective systems. Notable contributions include advancing unified liquid water category bulk schemes and investigating ice habit impacts on precipitation. Her work addresses model uncertainties through comparisons of bin and bulk schemes, and she leads field projects analyzing fog, marine aerosols, and orographic snowfall. Recent publications highlight aerosol-cloud interactions in stratocumulus systems, Arctic cloud sustenance via free-tropospheric aerosols, and limitations of traditional microphysics categorizations. Awards include runner-up recognition for opinion work on convective invigoration and student mentorship accolades. Key collaborations involve DOE ASR-funded projects on convective invigoration and Arctic cloud processes. Her group actively trains graduate students (e.g., Nathan Pope, Lucas Sterzinger) and undergraduates (e.g., Abbey Williams) in cloud physics and computational modeling, with outputs including over 50 peer-reviewed articles and modeling tools like the AMP scheme.

Masamitsu Kanadaمشاهده پروفایل

استادیار

• Extracellular Vesicles (EVs) Engineering
• Drug Delivery Systems
• Cancer Biology
• +۳ مورد دیگر

Masamitsu Kanada, PhD, is an Assistant Professor in the Department of Pharmacology & Toxicology at Michigan State University's College of Human Medicine. His research focuses on engineering extracellular vesicles (EVs) for targeted drug/gene delivery and understanding EV-mediated intercellular communication in diseases like cancer. He holds a PhD in Cell Biology from the University of Tsukuba and completed postdoctoral training at Stanford University School of Medicine. Education: Postdoctoral Fellow, Pediatrics, Stanford University School of Medicine (2012–2017) PhD in Cell Biology, University of Tsukuba (2003–2008) BSc in Biochemical Engineering, Tohoku University (1999–2003) Research Interests: Dr. Kanada's work combines molecular biology, live-cell imaging, and drug screening to develop novel EV-based therapies. Key areas include: EV engineering for cancer immunotherapy Biomarker discovery via phosphatidylserine-exposing EVs 3D tumor microenvironment modeling CRISPR delivery using non-viral vectors Funding: Active grant: Ultrasound-assisted extracellular vesicle engineering and induced release (EVEiR) funded by the National Institute of Biomedical Imaging and Bioengineering (2022–2025). Teaching: Teaches PHM 802 Cellular, Molecular and Integrated Systems Pharmacology and PHM 816 Integrative Toxicology . Courses emphasize translational applications of pharmacology and toxicology principles. Labs/Teams: Leads interdisciplinary research integrating bioengineering, molecular biology, and clinical translation to advance EV-based diagnostics and therapies.

Owen Bentonمشاهده پروفایل

مدرس

• Condensed Matter Physics
• Theoretical Physics
• Quantum Magnetism
• +۳ مورد دیگر

Dr. Owen Benton is a Lecturer in Computational Condensed Matter at Queen Mary University of London, affiliated with the School of Physical and Chemical Sciences. His research focuses on frustrated quantum systems, particularly quantum spin liquids and their experimental signatures. He holds academic positions at the Centre for Chemical Research and the Centre for Experimental and Applied Physics. Education and Career: B.Sc./M.Sc. from University of Warwick and University of Bristol Research roles at Okinawa Institute of Science and Technology (Japan), RIKEN (Japan), and Max Planck Institute for the Physics of Complex Systems (Germany) Research Interests: Condensed Matter Physics, Theoretical Physics, Quantum Magnetism, Spin Liquids, Frustrated Systems. His work explores phenomena arising from many-body interactions, such as quantum entanglement in spin liquids and phase competition in frustrated magnets. Teaching: CHE 209: Introductory Programming for Chemists CHE 709P: Introductory Programming for Drug Discovery Research Contributions: His recent publications analyze quantum spin ice, dipolar-octupolar systems, and fracton spin liquids. Collaborations include experimental groups using neutron scattering and spectroscopic techniques.

Fatemeh Khalili-Araghiمشاهده پروفایل

دانشیار

• Computational Biophysics
• Membrane Proteins
• Ion Channels
• +۲ مورد دیگر

Fatemeh Khalili-Araghi serves as an Associate Professor in the Department of Physics at the University of Illinois at Chicago (UIC), where she leads computational research on membrane protein dynamics and ion channel mechanisms. Her work bridges theoretical physics and biological applications through advanced molecular modeling techniques. Dr. Khalili-Araghi's academic foundation includes: B.S. in Physics from Sharif University of Technology, Tehran, Iran (2001) Ph.D. in Physics from the University of Illinois at Urbana-Champaign (2010) Following her doctoral studies, she completed a postdoctoral fellowship at the University of Chicago (2010-2013) focusing on NaK ATPase simulations. Her research specializes in molecular dynamics investigations of claudin-15 channel selectivity, strand flexibility, and pore architecture, with recent expansion into energy materials including lithium-oxygen batteries and ionic liquid electrolytes. Current projects employ computational approaches to resolve ion conduction mechanisms and phase separation phenomena at molecular scales. Analysis of her 2017-2025 publications reveals consistent leadership in computational biophysics of membrane proteins, particularly claudin channels, while increasingly addressing energy storage challenges. Her work demonstrates sophisticated integration of molecular dynamics with thermodynamic and kinetic analyses across biological and materials systems, yielding high-impact insights published in journals like Nature and Journal of General Physiology. No scientific awards were documented in available sources. Information regarding student advising and research grants was not specified in source materials. Dr. Khalili-Araghi directs the Fatemeh Khalili Research Group at UIC, maintaining active collaborations in computational biophysics and materials science through advanced simulation methodologies.