جست‌وجوی استاد و پژوهشگر

Torsten Johnمشاهده پروفایل

استادیار

• Biophysical Chemistry
• Computational Chemistry
• Biomolecular Self-Assembly
• +۴ مورد دیگر

Torsten John is an Assistant Professor of Physical Chemistry at the School of Science, Constructor University Bremen gGmbH, Germany. His research bridges biophysical chemistry and computational chemistry to engineer biomolecular systems for biomedical applications. PhD in Chemistry (2020) from Leipzig University (summa cum laude) Postdoctoral experience at Max Planck Institute, MIT, and Leibniz Institute of Surface Engineering Research focuses on biomolecular self-assembly and membrane interactions , with implications for antimicrobial strategies , nanomedicine , and neurodegenerative diseases . Articles show interdisciplinary work combining experimental and theoretical approaches . Publications include high-impact journals like Advanced Functional Materials and Nucleic Acids Research . His group develops bionanomaterials using peptide nanofibrils and DNA origami, with applications in viral particle isolation and exciton transport . Collaborations span institutions in Germany, USA, and Australia. Teaching includes Physical Chemistry (CO-440) and Physical Chemistry Lab (CO-446-B) .

Hengky Chandrahalimمشاهده پروفایل

دانشیار

• Optics and Photonics
• Microelectromechanical Systems (MEMS)
• RF and Microwave Engineering
• +۱۲ مورد دیگر

Hengky Chandrahalim is an Associate Professor of Electrical and Computer Engineering at the U.S. Air Force Institute of Technology (AFIT) , where he also serves as Faculty Director of the AFIT Nanofabrication & Characterization Facility . He is affiliated with the Graduate School of Engineering & Management and leads the Microsystems Laboratory. Education: Ph.D., Electrical and Computer Engineering, Cornell University M.Sc., Electrical and Computer Engineering, Cornell University M.Eng., Electrical and Computer Engineering, Cornell University B.Sc., Electrical and Computer Engineering, The Ohio State University His research interests span optics and photonics, MEMS, RF/microwave systems, optical sensing, and micro/nanosystems . He specializes in integrating microscale sensors with optical fibers, radiation-hardened MEMS, and optofluidic systems. His work combines advanced fabrication techniques like two-photon nanomachining with applications in aerospace, defense, and biomedical sensing. The trends in his recent publications emphasize optical fiber tip sensors, nonlinear damping in flow sensing, and radiation effects on MEMS resonators . His research demonstrates a strong focus on miniaturization, robustness under extreme environments, and novel transduction mechanisms in photonic and mechanical systems. Scientific Awards: Fellow, Institute of Physics (IOP) (2024) Fellow, Institution of Engineering & Technology (IET) (2023) IEEE Dayton Section Harrell V. Noble Award (2025) AFIT Civilian of the Year (2024) Arthur S. Flemming Award, Applied Science & Engineering (2024) SASE Professional Achievement Award (2022) Dean’s Distinguished Teaching Professor Award (2020–2021) He advises multiple graduate and undergraduate researchers , including Jeremiah C. Williams and David D. Lynes, and has secured significant recognition for both research and teaching. He has served as a mentor for national fellowship programs and student competitions. His lab, the Microsystems Laboratory , fosters innovation in sensor design, microfabrication, and photonics integration, contributing to both military and civilian technological advancement.

Thomas Bilitewskiمشاهده پروفایل

استادیار

• Quantum Many-Body Physics
• Quantum Simulation
• Condensed Matter Theory
• +۹ مورد دیگر

Thomas Bilitewski is an Assistant Professor at Oklahoma State University, specializing in quantum many-body physics and quantum simulation. His research bridges atomic, molecular, and optical physics with condensed matter theory, focusing on systems like ultracold gases, spin lattices, and synthetic dimensions. Geometric frustration and disorder in spin liquids Pauli blocking effects in 2D Fermi gases Quantum chaos and butterfly effect in phase transitions SU(N) symmetric Fermi gases and their thermodynamics Dipolar molecules for quantum metrology Floquet-engineered systems and heating suppression Synthetic dimensions with long-range interactions His recent publications highlight universal phenomena in nonequilibrium systems, including ergodicity breaking, topological phases in Bose-Hubbard ladders, and interaction-induced soliton dynamics. He develops theoretical frameworks for experimental observables in cold atom systems, with a focus on spin squeezing, false-vacuum decay, and tunable pair creation mechanisms. Key collaborations include experimental groups at JILA (University of Colorado Boulder) and Max Planck Institute for the Physics of Complex Systems (Dresden). Current work addresses quantum chaos in classical systems, artificial gauge fields, and disorder-stabilized flat bands.

• Environmental Chemoinformatics
• Nanotoxicology
• Predictive Modeling
• +۵ مورد دیگر

Professor Tomasz Puzyn is affiliated with the University of Gdańsk , where he serves as Head of the Laboratory of Environmental Chemoinformatics within the Faculty of Chemistry and the Department of Environmental Chemistry and Radiochemistry. His research focuses on advancing predictive models for nanomaterial and chemical safety through chemoinformatics, machine learning, and Adverse Outcome Pathways (AOPs). Research Interests: Environmental Chemoinformatics Nanotoxicology QSAR/QSPR Modeling Machine Learning in Risk Assessment Endocrine Disruption Mechanisms Safe-by-Design Nanomaterials Recent Work Trends: Development of in silico New Approach Methods (NAMs) for nanomaterial genotoxicity and endocrine disruption Integration of transcriptomic data with AOPs for predictive toxicology Adsorption mechanisms of PFAS using modified biochar and metal oxides Quantum chemistry applications for environmental fate prediction Machine learning frameworks for drug delivery nanocarriers Harmonization of data reporting for regulatory acceptance Laboratory: Laboratory of Environmental Chemoinformatics Collaborative projects: CompSafeNano, HBM4EU

Daniel Hellerمشاهده پروفایل

استاد

• Cancer Nanotechnology
• Biomedical Engineering
• Drug Delivery
• +۳ مورد دیگر

Daniel Heller is a Professor at Cornell University's Graduate School of Medical Sciences and Head of the Cancer Nanotechnology Laboratory at Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College. His interdisciplinary work develops nanotechnologies to revolutionize cancer research, diagnosis, and treatment through engineering innovation. Education: Bachelor of Arts in History, Rice University (2000) PhD in Chemistry, University of Illinois at Urbana-Champaign (2010) Damon Runyon Cancer Research Foundation Postdoctoral Fellowship, MIT Koch Institute (2012) Dr. Heller pioneers cancer nanotechnology with three core research pillars: precision nanomedicines for targeted drug delivery (including blood-brain barrier-penetrating carriers), AI-powered diagnostic sensors for early cancer detection via implantable/wearable platforms, and nanosensors accelerating drug discovery. His lab integrates machine learning with quantum-defect-modified carbon nanotubes to detect multi-analyte cancer fingerprints in serum, enabling real-time biomarker monitoring for high-risk patients and treatment response assessment. Analysis of his recent publications reveals a strategic shift toward clinical translation , with 2021-2023 work focusing on ovarian cancer detection systems and brain metastasis therapies. His Nature Biomedical Engineering (2022) study demonstrates how AI-enhanced nanosensors achieve unprecedented sensitivity in liquid biopsies, while his Nature Materials (2023) paper establishes a mechanistic foundation for nanocarrier-mediated CNS drug delivery—highlighting convergence of nanotechnology, computational biology, and oncology. Scientific Awards: College of Liberal Arts and Sciences Young Alumni Award, University of Illinois (2024) Life Sciences Invention of the Year, UM Ventures (2023) American Institute for Medical and Biological Engineering (AIMBE) Fellow (2021) Pharmacology Teaching and Mentoring Award, Weill Cornell Graduate School (2020) CRS Nanomedicine Junior Faculty Award and American Cancer Society Research Scholar (2018) Pershing Square Sohn Prize (2017) Kavli Fellow, National Academy of Science (2015) Dr. Heller actively mentors graduate students in Pharmacology and Physiology programs, evidenced by his 2020 Teaching Award. His research is funded by competitive grants including the American Cancer Society Research Scholar award and Pershing Square Sohn Prize, supporting high-risk translational projects like implantable sensor clinical validation and next-generation nanocarrier development for treatment-resistant cancers. The Heller Lab operates as a multidisciplinary engine within MSKCC's Sloan Kettering Institute, combining engineers, chemists, and biologists with clinical collaborators. Current initiatives focus on translating ovarian cancer detection platforms to human trials and developing closed-loop therapeutic systems that auto-adjust dosing based on real-time biomarker feedback—positioning nanotechnology at the forefront of precision oncology.

Evert van Nieuwenburgمشاهده پروفایل

استادیار

• Quantum Physics
• Machine Learning
• Condensed Matter Physics
• +۶ مورد دیگر

Dr. Evert van Nieuwenburg is an Assistant Professor at Leiden University, affiliated with both the Leiden Institute of Advanced Computer Science (LIACS) and the Leiden Institute of Physics (LION). His research bridges the fields of Quantum Physics , Machine Learning , and Condensed Matter Physics , with a focus on quantum algorithms, reinforcement learning, and quantum game development (e.g., Quantum TiqTaqToe ). He actively contributes to the Applied Quantum Algorithms (aQa) initiative and leads the QuantumPlayed subgroup for quantum games and education. Research Interests: AI-driven quantum experiment control, quantum machine learning, variational quantum circuits, and quantum games for education and intuition-building. Publications: 15+ peer-reviewed works spanning quantum error correction, phase transitions, reinforcement learning in quantum systems, and quantum dot array simulations. Community Engagement: Developer of educational quantum games, open science advocate, and active participant in interdisciplinary initiatives. Selected Trends: His work demonstrates AI's transformative role in quantum physics, from decoding error-correcting codes with graph neural networks to merging reinforcement learning with quantum control systems. Labs & Initiatives: Affiliated with the Applied Quantum Algorithms (aQa) initiative and co-founder of QuantumPlayed , where quantum mechanics meets game theory to engage diverse audiences.

• Nanoelectronics
• Photonics
• Semiconductor Devices
• +۵ مورد دیگر

Professor Harold Chong is a Professor of Electronic Engineering at the University of Southampton's School of Electronics and Computer Science (ECS), specializing in nanoelectronics and photonics within the Department of Electronics and Electrical Engineering. His work focuses on advancing semiconductor devices, particularly zinc oxide thin-film transistors (ZnO-TFTs), nanoelectromechanical systems (NEMS), and integrated photonic technologies for applications in sensing, healthcare, and low-power computing. His research spans: Nanoelectronic device physics and fabrication Solution-processed semiconductor materials for flexible electronics Quantum device engineering and dopant spin control Mid-infrared photonics using germanium and silicon platforms Biosensor development via nanowire and oxide nanostructures Recent publications (2023-2025) reveal a concentrated effort on optimizing zinc oxide-based devices for ion sensing and energy-efficient switching, alongside innovations in silicon photonics for infrared applications. His work consistently bridges materials science with practical electronic engineering, emphasizing scalable fabrication techniques like atomic layer deposition and solution processing to enhance device stability and performance. Professor Chong actively supervises 12 PhD students across diverse projects including nanoelectromechanical relays, laser-induced graphene sensors, and polycrystalline silicon waveguides. His research is primarily funded by EPSRC grants such as the UKRI Centre for Doctoral Training in Machine Intelligence for Nano-electronic Devices and Systems, Capability for Wafer-Level Sub-Nanometre Scale Imaging, and the MIGRATION project for mid-infrared germanium photonics. He is a core member of the Sustainable Electronic Technologies and Centre for Health Technologies research groups at Southampton, collaborating extensively with the Optoelectronics Research Centre (ORC) and international partners to develop next-generation electronic-photonic convergence platforms.

Robert Bennettمشاهده پروفایل

پژوهشگر

• Quantum Field Theory
• Quantum Optics
• Casimir-Polder Forces
• +۵ مورد دیگر

Dr. Robert Bennett is a researcher at the School of Physics and Astronomy , University of Glasgow, specializing in quantum optics, quantum field theory, and light-matter interactions. His work spans Casimir forces, algorithmic material design, and quantum sensing applications. PhD in Physics (2013), University of Sussex Postdoctoral Fellow, University of Leeds Alexander von Humboldt Fellow, University of Freiburg Research focuses on non-intuitive design of quantum systems , leveraging evolutionary-inspired algorithms to optimize light-matter interactions. Key projects include exploiting photon Bose-Einstein condensates for chirality detection and studying short-range gravitational anomalies via Casimir-Polder shielding. His recent publications highlight interdisciplinary work in quantum sensing , optical potentials , and non-Newtonian gravity , with applications in cold atom manipulation and energy transfer mechanisms. Collaborative efforts span multiple institutions and disciplines. Alexander von Humboldt Post-doctoral Fellowship Contact: robert.bennett@glasgow.ac.uk

Sohrab Rohaniمشاهده پروفایل

استاد

• Process Control
• Crystallization
• Metal-Organic Frameworks (MOFs)
• +۶ مورد دیگر

Sohrab Rohani is a Professor in the Department of Chemical and Biochemical Engineering at Western University . His research spans process control, crystallization, and advanced materials synthesis, with a focus on Metal-Organic Frameworks (MOFs) for energy and biomedical applications. Ph.D., University of Wales (1979) – Process Control B.Sc., Pahlavi University (1975) – Chemical Engineering Postdoctoral Fellow, ETH Zurich (1979-1981) Research Interests include: Materials Science : MOF synthesis for CO2 capture, supercapacitors, and drug delivery. Process Optimization : Machine learning in crystal design, CFD modeling, and waste valorization. Biomedical Applications : Stimuli-responsive drug carriers and cancer therapy platforms. Publication Trends highlight his work in: Designing multi-metal MOF electrodes for energy storage CO2 mineralization and metal recovery from industrial waste Green synthesis of MOF composites for pharmaceuticals and food packaging Machine learning-driven cocrystal prediction Scientific Awards include the Engineering Medal in Research and Development (2008) and the Western Faculty of Engineering Award for Excellence in Research (2009). Research Facilities at ZNML and CCPL labs focus on state-of-the-art material characterization (XRD, TGA, FTIR, HPLC, etc.) and industry collaborations.

• Surface Physics
• Light Scattering
• Rough Surface Characterization
• +۴ مورد دیگر

Ingve Simonsen is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU), specializing in surface physics and light scattering phenomena. His research focuses on the theoretical and experimental characterization of randomly rough surfaces, electromagnetic wave interactions, and nanoscale optical phenomena. Affiliated with NTNU's Faculty of Natural Sciences, he maintains an active research program with extensive collaborations across international institutions. His research interests center on surface physics and light scattering , particularly the inversion of scattering data for surface characterization, plasmonics in nanostructures, and statistical properties of rough surfaces. His work bridges theoretical modeling with experimental validation, applying techniques like Mueller matrix ellipsometry and reduced Rayleigh equations to solve complex problems in optical metrology and nanomaterial characterization. Analysis of his recent publications reveals strong emphasis on multi-scale surface topography , polarized light interactions with disordered systems, and nanophotonic applications . His research demonstrates consistent innovation in developing computational frameworks for surface characterization and exploring novel optical phenomena in two-dimensional materials. Professor Simonsen actively mentors students and researchers, evidenced by frequent co-authorship with junior researchers on complex projects. His collaborative approach spans disciplines including condensed matter physics, materials science, and biomedical optics, as seen in his work on graphene-based virus detection sensors.

Jarryd Plaمشاهده پروفایل

دانشیار

• Quantum Information Processing
• Quantum Technologies
• Spin-based Quantum Computation
• +۳ مورد دیگر

Associate Professor Jarryd Pla is an experimental physicist and electrical engineer at the University of New South Wales, specializing in quantum information processing and quantum technologies. He holds a PhD in Electrical Engineering from UNSW (2013) and a first-class honors BEng in Photonic Engineering (2009). Current ARC Future Fellow Former Bragg Gold Medal recipient His research focuses on: Spin-based quantum computation in silicon Superconducting quantum circuits Quantum-noise-limited microwave amplifiers Hybrid quantum systems for quantum memory Quantum sensing and spectroscopy Recent publications highlight: Room-temperature maser amplifiers Kinetic inductance parametric amplifiers Coherent control of donor spins Quantum-limited electron spin resonance Scientific Awards: ARC Future Fellowship (2024-2028) Bragg Gold Medal His grants include: ARC DECRA (2019-2022): Superconducting hybrid quantum technologies ARC Discovery Project (2021-2024): Quantum sensing with semiconductor devices ARC Future Fellowship (2024-2028): Room-temperature diamond-based microwave detection

Roman Friggمشاهده پروفایل

استاد

• General philosophy of science
• Philosophy of physics
• Statistical mechanics
• +۱۱ مورد دیگر

Roman Frigg is Professor of Philosophy at the London School of Economics and Political Science (LSE) , affiliated with the Department of Philosophy, Logic and Scientific Method . He serves as Director of the Centre for Philosophy of Natural and Social Science (CPNSS) and Co-Director of the Centre for the Analysis of the Time Series (CATS) . Holding a PhD from the University of London and MScs in theoretical physics and philosophy from the University of Basel, his research spans philosophy of science , statistical mechanics , and climate modeling . Education : PhD (University of London), MSc (University of Basel: Theoretical Physics, Philosophy) His work addresses foundational questions in statistical mechanics and thermodynamics , including equilibrium theory, entropy interpretation, and relations between Boltzmannian and Gibbsian frameworks. Recent publications focus on probabilistic forecasts in chaotic climate models , culminating in the co-authored book The Fundamentals of Thermodynamics (Springer, 2025). Articles explore topics like the Ergodic Hierarchy , GRW quantum theory , and robustness analysis in climate science. Roman has made significant contributions to reconciling deterministic dynamics with objective probability via Humean interpretations. His collaborations with Charlotte Werndl, Carl Hoefer, and David Lavis have produced key insights into typicality , chaos-randomness relations , and non-equilibrium thermodynamics . Scientific Awards : Friedrich Wilhelm Bessel Research Award (Alexander von Humboldt Foundation) Roman supervises PhD students on topics ranging from scientific representation to quantum mechanics and climate policy uncertainty . His website provides access to his publications and teaching materials.

Yu [Kevin] Caoمشاهده پروفایل

استاد

• Microelectronics
• Computer Engineering
• Semiconductor Technology
• +۵ مورد دیگر

Yu [Kevin] Cao is the Louis John Schnell Professor in the Department of Electrical and Computer Engineering at the University of Minnesota. His research focuses on microelectronics co-design for energy-efficient computing, spanning integrated circuit design, semiconductor physics, and machine learning methodologies. He leads the Microelectronics Co-design Research Group and actively collaborates with institutions like Georgia Institute of Technology, Sandia National Laboratories, and Notre Dame. His research interests include AI hardware acceleration , in-memory computing , cryogenic CMOS design , and 3D integration of heterogeneous chiplets . Current initiatives explore reconfigurable on-package systems for AI, spiking neural networks on neuromorphic hardware, and low-temperature logic technologies. Recent publications and projects highlight advancements in AI accelerators , RRAM-based compute-in-memory , graph convolutional networks , and 3D integration . His group develops tools like MN-SIM 2.0 for memristor modeling and investigates novel materials for neuromorphic systems. Grants include collaborative NSF funding for chiplet-based AI systems, CoCoSys center funding from SRC, and DOE/Sandia projects on neuromorphic hardware. Future work emphasizes scalable co-design frameworks for intelligent systems and heterogeneous integration challenges.

• Logic-in-memory
• Machine learning
• Nanocomputing
• +۷ مورد دیگر

Marco Vacca is an Associate Professor in the Department of Electronics and Telecommunications (DET) at Politecnico di Torino and a member of the Interdepartmental Center PIC4SeR - PoliTO Interdepartmental Centre for Service Robotics. His work bridges electronics, nanotechnology, and computing architecture with a focus on innovative solutions to the memory wall problem. His research spans Logic-in-memory computing, Machine learning hardware acceleration, and Nanocomputing with specific emphasis on circuit architectures for probabilistic computing, magnetic devices, hybrid technologies integration, and CAD tools for emerging technologies. Dr. Vacca leads research in RISC-V extensions, hardware accelerators for AI, and autonomous robot systems for agricultural applications through the VLSILAB research group. Recent publications reveal a strong trend toward solving fundamental computing challenges through nanoscale innovations, particularly in memory-centric architectures, molecular field-coupled computing, and novel transistor technologies. His work demonstrates how logic-in-memory approaches can overcome traditional von Neumann limitations while improving energy efficiency for AI workloads. Editorial board member of ELECTRONICS (2021-2023) Program committee member for Design, Automation and Test in Europe Conference (DATE) 2020-2021 Dr. Vacca supervises PhD student Alessandro Varaldi working on 'Hardware AI Accelerators for Automotive Applications' and has led significant research projects including 'Device for Storage and Processing Data and Related Method' (2020-2021) and 'Quantum Computing and Quantum Communication: State of the Art and Applications in the Telco Sector' (2020). His grant portfolio shows strong industry and competitive funding support. As a core member of the VLSILAB research group, Dr. Vacca contributes to advancing VLSI theory and design applications with particular focus on implementing Big Data, Machine Learning, and Neural Networks in specialized hardware architectures that push the boundaries of conventional computing.

• Condensed Matter Physics
• Topological Phases
• Quantum Information
• +۲ مورد دیگر

Benjamin Beri is a Reader (equivalent to Associate Professor) at the University of Cambridge's Department of Applied Mathematics and Theoretical Physics (DAMTP), with a joint affiliation in the Department of Physics. He leads research activities at the Centre for Quantum Information and Foundations. Previously, he held positions as a Birmingham Fellow and Reader at the University of Birmingham (2013-2017), a Royal Society University Research Fellow (2013-2018), a Marie Curie Fellow at the University of Cambridge (2010-2013), and a postdoctoral researcher at Leiden University's Lorentz Institute (2008-2010). His research explores novel quantum matter phenomena within condensed matter physics, with current emphasis on topological phases. He develops theoretical frameworks using many-body approaches to create, detect, and characterize these phases experimentally, while investigating their quantum information properties for fundamental insights and computational applications. Core research domains include quantum computing architectures, topological materials, and nonequilibrium quantum systems. Beri's publications demonstrate consistent focus on topological quantum computation, Majorana fermions, quantum error correction (especially surface codes), and nonequilibrium dynamics in quantum systems. Recent work explores connections between quantum information theory, condensed matter physics, and mathematical physics through frameworks like symmetry topological field theories (SymTFT) and Sachdev-Ye-Kitaev models. He has received notable scientific recognitions including: Royal Society University Research Fellowship (2013-2018) Marie Curie Fellowship (2010-2013) At Cambridge, he leads a research group at the Centre for Quantum Information and Foundations, focusing on theoretical aspects of quantum information processing and topological matter. His laboratory is located in Room B2.03, with contact available via email (bfb26@cam.ac.uk) or phone (01223 330853).