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Jonathan D. Cohen is a Robert Bendheim and Lynn Bendheim Thoman Professor in Neuroscience and Professor of Psychology and Neuroscience at Princeton University. He leads the Natural and Artificial Minds Initiative as Associate Director, bridging computational neuroscience, cognitive science, and machine learning. His research explores the interplay between cognition, neural dynamics, and AI systems. Research interests include Computational models of cognitive control and decision-making Cerebellar-cortical interactions in neurodevelopment and aging Neural-symbolic integration in AI architectures Quantum computing applications for cognitive modeling Medical applications of machine learning Recent publications demonstrate expertise in artificial neural networks, autism neurobiology, semantic cognition, and interdisciplinary approaches to modeling human and machine intelligence. His work spans theoretical neuroscience, AI interpretability, and translational medicine applications. Scientific contributions include Advancing hybrid mamba-transformer architectures for efficient reasoning Elucidating cerebellar roles in cognitive aging and disease Innovations in quantum models of cognition Developing frameworks for causal analysis in neural networks Exploring neurochemical diversity in psychedelic-producing fungi

• Neuroscience
• Cognitive Science
• Computational Neuroscience
• +5 more

Miltos Alamaniotis is an Associate Professor and GreenStar Endowed Fellow in the Department of Electrical and Computer Engineering at the University of Texas at San Antonio (UTSA). His research focuses on applied artificial intelligence in nuclear security, smart grids, and radiation detection systems, with a particular emphasis on maritime nuclear applications and nonproliferation. Academic Appointments: Associate Professor (2023–Present), UTSA Education: Ph.D. in Applied Intelligent Systems, Purdue University Research interests include: Nuclear Security and Nonproliferation Smart Grids and Distributed Energy Systems Explainable AI for Radiation Detection Quantum Machine Learning Applications Intelligent Control of Nuclear Reactors Fuzzy Logic in Energy Management Recent publications highlight trends in AI-driven nuclear security systems, matrix profile methods for radiation anomaly detection, and quantum neural networks for thermographic image analysis. His work bridges nuclear engineering, cybersecurity, and smart city technologies. Scientific honors include: Top 0.5% ScholarGPS Ranking (2024) Best Paper Award at IEEE Texas Power and Energy Conference (2025) Luthcher Brown Fellowship (2023) GreenStar Endowment Fellowship (2023) NAE Frontiers of Engineering Symposium Selection (2023) UTSA President’s Distinguished Achievement Award (2022) He has supervised PhD students like Thanos Arvanitidis and secured over $15M in grants from DOE, NSF, and NRC for projects including the $25M NNSA Consortium. His AI Lab at UTSA collaborates with Argonne, Idaho, and Los Alamos National Laboratories.

• Applied Artificial Intelligence
• Nuclear Security
• Smart Grids
• +5 more

Koray Aydin is an Associate Professor in the Electrical and Computer Engineering department at Northwestern University 's McCormick School of Engineering. His research focuses on nanophotonics , optical metamaterials , and inverse design of photonic devices. PhD in Physics, Bilkent University MS and BS in Physics, Bilkent University The Metamaterials and Nanophotonic Devices Lab (MNDL) explores light-matter interactions at the nanoscale. Key research areas include: Plasmonic materials and devices for absorption engineering Metasurfaces for subwavelength light control Two-dimensional materials in optoelectronics 3D printing of millimeter-wave and optical metadevices Hybrid and tunable nanophotonic systems Dynamic metamaterials via self-assembly His publications highlight inverse design methodologies, DNA-assembled metasurfaces , and active nanophotonic materials . Collaborations with Chad Mirkin, Vinayak Dravid, and Prem Kumar have led to breakthroughs in scalable photonic systems and programmable metamaterials. Current efforts in MNDL aim to integrate machine learning with nanophotonic device design, enabling non-intuitive geometries and ultra-compact optical components with applications in telecommunications, defense, and consumer electronics.

• Nanophotonics
• Optical Metamaterials
• Plasmonics
• +6 more

Erkao Bao is an Assistant Professor in the School of Mathematics at the University of Minnesota, where he is a member of the differential geometry group. His office is located at Vincent Hall 356, 206 Church Street SE, Minneapolis, MN 55455, and he can be reached at bao@umn.edu. Dr. Bao specializes in Symplectic Geometry and Contact Geometry, with research focusing on Morse homology, Floer theory, and Lagrangian submanifolds. His work explores equivariant structures in geometric contexts, with recent publications addressing reflection actions via broken trajectories, coherent orientations in symplectic field theory, and immersed Lagrangian Floer cohomology. His research demonstrates a clear progression from foundational work on J-holomorphic curves and contact homology toward increasingly sophisticated treatments of equivariant structures. The integration of geometric methods with potential applications in neural networks (as seen in his 2019 paper on equivariant neural networks) shows his ability to bridge pure mathematics with contemporary computational challenges. Office: Vincent Hall 356, 206 Church Street SE, Minneapolis, MN 55455 Email: bao@umn.edu Office Hours: Typically Monday and Friday 1:00-2:00 PM, or by appointment As an educator, Dr. Bao teaches undergraduate courses including Math 2374 (CSE Multivariable Calculus) and Math 5378 (Differential Geometry), as well as graduate courses Math 8301-8302 and Math 8365 (Manifold and Topology), covering topics from vector calculus to advanced differential geometry and topological methods.

• Symplectic Geometry
• Contact Geometry
• Differential Geometry
• +3 more

Ben McMorran is a Professor in the Department of Physics at the University of Oregon, affiliated with the College of Arts and Sciences, Materials Science Institute, and the Oregon Materials Innovation Center (OMQ). His roles include serving on the MSTC Advisory Committee and contributing to interdisciplinary research in SAIL and quantum technology initiatives. Education: Ph.D. in Physics (2009) from the University of Arizona. Research Focus: Free electron physics, matter wave interferometry, electron microscopy, magnetic materials, and quantum technology. His work bridges quantum mechanics and materials science, particularly in imaging topological spin textures and developing structured electron beam techniques. Recent Research Trends: Analysis of chiral plasmons, 3D skyrmions, and magnetic domain walls in multilayer thin films using advanced electron microscopy methods like STEM ptychographic holography and interferometric STEM-EELS. He also contributes to quantum measurement protocols and educational programs for quantum engineers.

• Free Electron Physics
• Matter Wave Optics
• Electron Microscopy
• +5 more

Lamine M. Mili is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. His expertise spans power systems, signal processing, and robust estimation theory. He holds an IEEE Fellowship (2016) for contributions to robust state estimation in power systems. Mili's research focuses on advancing methodologies for power system reliability, control, and integration of renewable energy sources. His work includes studies on dynamic state estimation, nonlinear dynamics, bifurcation theory, and quantum computing applications. He has contributed extensively to resilience engineering and computational social science in power systems. Mili’s recent articles address challenges in smart grids, quantum circuit error prediction, and multifractal signal analysis in EEG. His research often combines advanced statistical techniques with real-world grid data, emphasizing robustness and adaptability in dynamic environments. Education: Ph.D., University of Liège, 1987 M.S., University of Tunis, 1983 B.S., Swiss Federal Institute of Technology, Lausanne, 1976 Research Interests: Power system stability and control State estimation and robust filtering Quantum computing for power systems Resilience and cyber-physical-social systems Nonlinear dynamics and bifurcation analysis His recent publications reflect a focus on hybrid power systems, probabilistic methods, and data-driven approaches for grid optimization. The 2025 articles highlight advancements in photovoltaic state estimation, quantum error prediction, and robust modulation techniques. Mili’s work often bridges theoretical models with practical grid applications, emphasizing uncertainty quantification and real-time monitoring.

• Power Systems
• Signal Processing
• Robust Estimation Theory
• +7 more

Jonathan Bird is a Professor and Department Chair in the Department of Electrical Engineering at the University at Buffalo (UB), part of the School of Engineering and Applied Sciences. He also directs the Center for Advanced Semiconductor Technologies. His research focuses on nanoelectronics, mesoscopic physics, quantum phenomena, and novel nanomaterials. Bird holds a BSc and PhD in Physics from the University of Sussex (UK), with prior positions including JSPS Visiting Fellow at the University of Tsukuba (1991–1992) and Associate Professor at Arizona State University (1997–2004). Education: BSc (First-Class Honors), Physics, University of Sussex, 1986 PhD, Physics, University of Sussex, 1990 Research interests span nanoscale electronics, quantum transport in 2D materials, and advanced semiconductor technologies. His work explores device paradigms like terahertz plasmon sourcing, graphene-based spintronics, and quantum phenomena in confined systems. With nearly 300 peer-reviewed publications and co-authored textbooks, his contributions bridge fundamental physics and applied engineering. Key Awards: NYSTAR Distinguished Professor (2003) UB Exceptional Scholar Award (2008) SUNY Chancellor's Excellence Award (2012) Institute of Physics Fellowship (2002) Grants and advising include leadership in multidisciplinary initiatives. His labs focus on nanoscale device fabrication, terahertz systems, and energy-efficient electronics. Bird actively collaborates on projects like the TeraNova platform for ultra-broadband wireless communications.

• Nanoelectronics
• Mesoscopic physics
• Quantum phenomena
• +5 more

Adam Kaufman is an Associate Professor and Adjoint Fellow at JILA, a joint institute of the University of Colorado Boulder and NIST. He holds a faculty appointment in the Department of Physics at CU Boulder and collaborates closely with NIST researchers. His research focuses on quantum science, leveraging atomic, molecular, and optical physics to explore entanglement in complex systems, quantum coherence, and precision measurement. Key interests include quantum metrology with atomic clocks, quantum simulation using optical tweezers, and the development of qubit architectures with alkaline-earth atoms. Research Interests: - Investigating entanglement in quantum systems for both fundamental understanding and practical applications in condensed matter physics. - Pushing the limits of quantum coherence in optical tweezers to build scalable quantum states. - Developing tools like microscopy and precision spectroscopy to study ultra-cold atoms. Publications reflect advancements in optical clocks, quantum error correction, and boson sampling with atoms. Notable trends include innovations in multi-qubit gates for precision timing, Rydberg atom arrays for quantum magnetism, and cryogenic systems for extended coherence times. Scientific Awards: PECASE, Gordon and Betty Moore Foundation Grant, Friedrich Wilhelm Bessel Research Award. Advising includes mentoring students like Aaron Young (Deborah Jin Award recipient) and Matthew Norcia (IUPAP Prize). Grants include NSF Q-SEnSE funding and collaborations through CUbit Quantum Initiative. Lab activities focus on JILA’s optical tweezer arrays, cryogenic systems, and Ytterbium-based qubit development. Projects aim to realize scalable quantum processors and novel quantum sensors.

• Quantum Mechanics
• Quantum Entanglement
• Atomic, Molecular, and Optical Physics
• +3 more

Raymond Simmonds is a Lecturer in the Physics Department at the University of Colorado with a joint appointment at the National Institute of Standards and Technology (NIST). His research focuses on advancing quantum measurement science using superconducting circuit technologies, particularly leveraging Josephson junction-based systems and low-temperature fabrication techniques. His work bridges fundamental quantum physics with applied technologies, exploring novel states of matter and quantum system engineering. Research Interests: Superconducting quantum circuits Quantum information processing Ultra-low temperature device fabrication Nonreciprocal quantum components Trapped ion quantum systems His recent publications explore parametric coupling methods, circuit quantization theory, and nonreciprocal interaction mechanisms in superconducting systems. Simmonds leads the Advanced Microwave Photonics Group at NIST and holds patents related to reticulated resonator designs (2018–present). His work emphasizes foundational quantum science with direct technological applications in computing and communication systems.

• Quantum Information Science
• Superconducting Circuits
• Quantum Computing
• +3 more

Taylor Barton is an Associate Professor and Lockheed Martin Faculty Fellow at the University of Colorado's Department of Electrical, Computer, and Energy Engineering. His research focuses on electromagnetics, RF/microwave engineering, and integrated circuits, with an emphasis on power amplifier design, GaN-based systems, and high-frequency electronics. He leads a lab conducting cutting-edge work in antenna integration, nonlinear circuit analysis, and energy-efficient RF solutions. His contributions include innovations in load modulation techniques, multi-band amplifier architectures, and superconducting frequency conversion. Barton's work intersects with applications in 5G communications, aerospace systems, and wireless power transfer. His research interests span RF power amplification, semiconductor device modeling, and high-efficiency transmitter design. Notable areas include GaN MMICs, outphasing architectures, and adaptive impedance matching networks. Recent projects explore kinetic inductance-based frequency conversion and compact charge digitizer systems for beam monitoring. Publications highlight advancements in wideband amplifiers, thermal sensor integration in GaN circuits, and novel methods for distortion reduction. His work frequently addresses trade-offs between power efficiency, bandwidth, and linearity in modern RF systems. Barton collaborates with industry partners like Lockheed Martin to bridge academic research with practical aerospace and defense applications. His lab website showcases ongoing projects in reconfigurable RF components and multi-functional microwave systems.

• Electromagnetics
• RF Engineering
• Microwave Engineering
• +4 more

Scott Diddams is the Robert H. Davis Endowed Chair and Professor of Electrical Engineering and Physics at the University of Colorado Boulder. He leads the Quantum Engineering Initiative in the College of Engineering and Applied Science. His research focuses on precision spectroscopy, quantum metrology, nonlinear optics, and ultrafast lasers, with pioneering contributions to optical frequency combs for applications in optical clocks, fundamental physics tests, and astronomy. He holds over 750 publications and has received prestigious awards including the Department of Commerce Gold Medal and PECASE. **Education**: PhD in Physics from the University of New Mexico (1996). Postdoctoral work at JILA, NIST, and CU Boulder. Former NIST Fellow and Group Leader. **Research Interests**: Frequency comb technology for astrophotonics and metrology Exoplanet detection via advanced spectroscopy Ultrafast laser systems and high-harmonic generation Quantum engineering and integrated photonics **Awards**: Distinguished Presidential Rank Award IEEE Rabi Award C.E.K. Mees Medal (OPTICA) **Grants & Labs**: Directs the Quantum Engineering Initiative and maintains active collaborations with NIST. His lab develops cutting-edge instrumentation for space science and precision measurement. **Current Projects**: Focuses on miniaturized Fabry-Pérot cavities, quantum-enhanced dual-comb spectroscopy, and exoplanet characterization via the GEMS survey.

• Precision Spectroscopy
• Quantum Metrology
• Nonlinear Optics
• +5 more

Dr. Ryan P. McMahan is an Associate Professor of Computer Science and Learning Sciences at the University of Central Florida (UCF), leading the eXtended Reality & Training (XRT) Lab. He holds a Ph.D. from Virginia Tech (2011) and has expertise in leveraging XR/VR technologies for training and education. His work emphasizes enhancing learning outcomes through immersive systems, with over $3.4M in secured funding. He is an NSF CAREER Award recipient and authored the textbook 3D User Interfaces: Theory and Practice (2nd Ed.). Education Ph.D. Computer Science, Virginia Tech (2011) M.S. Computer Science, Virginia Tech (2007) B.S. Computer Science, Virginia Tech (2004) Research Interests focus on XR/VR applications in education, human-computer interaction, and training systems. Key areas include interaction fidelity, personalized learning, and embodied cognition in virtual environments. Awards include the NSF CAREER Award and teaching accolades such as UCF’s 2023 Excellence in Graduate Teaching Award. His research has generated 5,000+ citations with a h-index of 26. Professional Engagement includes roles as IEEE TVCG Associate Editor and organizer of ICAT-EGVE 2020. He mentors students in UCF’s Mixed Reality Engineering Graduate Certificate program and advises initiatives like Girls Who Code.

• Extended Reality (XR)
• Virtual Reality (VR)
• Learning Sciences
• +3 more

Edwin Barnes is a Professor in the Department of Physics at Virginia Tech, affiliated with the College of Science and the Virginia Tech Center for Quantum Information Science and Engineering (VTQ). He holds the Roger H. Moore and Mojdeh Khatam-Moore Dean's Faculty Fellow title. His research focuses on theoretical condensed matter physics and quantum information science, with particular emphasis on quantum computing, control, communication, algorithms, and many-body dynamics. He earned his Ph.D. in Physics from the University of California, San Diego. His work bridges mathematical constructs with experimental quantum systems, addressing challenges in quantum error correction, quantum repeaters, and scalable quantum architectures. Barnes leads the Barnes group, which explores topics like dynamically corrected gates, photonic graph states, and quantum resource optimization. Recent research highlights include developing adaptive variational quantum algorithms (e.g., ADAPT-VQE), improving quantum gate fidelity in superconducting and spin qubit systems, and analyzing quantum thermalization in driven systems. His publications span top journals like Physical Review X , npj Quantum Information , and PRX Quantum . Key awards include the Dean’s Faculty Fellowship. Barnes collaborates widely, contributing to national initiatives in quantum education and workforce development. His lab’s work on quantum control and error mitigation aims to advance practical quantum technologies.

• Theoretical Condensed Matter Physics
• Quantum Information Science
• Quantum Computing
• +4 more

Shengwang Du is a Professor of Physics and Astronomy and Professor of Electrical and Computer Engineering at Purdue University, serving as Deputy Director of the Purdue Quantum Science and Engineering Institute (PQSEI). He holds adjunct and visiting roles at institutions globally, including co-founding Light Innovation Technology (LiT) companies. His research focuses on quantum optics, quantum computing, optical neural networks, and bioimaging. Du earned his PhD in Physics from the University of Colorado Boulder in 2005, with prior degrees from Peking University and Nanjing University. Education: PhD, Physics (Atomic, Molecular and Optical Physics), University of Colorado Boulder, 2005 MS, Electrical Engineering, University of Colorado Boulder, 2002 MS, Physics, Peking University, 1999 BS, Electrical Engineering, Nanjing University, 1996 Research Interests: AMO Physics, Quantum Optics, Quantum Networks, Quantum Computing, Optical Neural Networks/AI, Optical Microscopy, Bioimaging. Professional Contributions: Associate Editor of Optics Express , Optica Fellow (2019), APS Fellow (2019), and key organizer of international quantum conferences. His publications span quantum optics, bioimaging, and photonics, with recent work emphasizing quantum networks and AI-driven microscopy. Awards: APS and Optica Fellowships (2019), Hong Kong Young Academy of Sciences membership (2020–2025), and the 2011 HKUST Research Award. Grants & Labs: Co-founded Light Innovation Technology (LiT) and NanoBioImaging (NBI) Ltd. Active in quantum engineering, optical instrumentation, and quantum sensing initiatives.

• Atomic, Molecular, and Optical (AMO) Physics
• Quantum Optics
• Quantum Networks
• +5 more

Amitabh Mishra is an Adjunct Professor at the University of Delaware. His research focuses on three core areas: computer-communication networks (wireless architectures, cross-layer design, mobile cloud computing), network performance analysis (stochastic models, numerical optimizations), and network security (vulnerability assessments, authentication protocols). He has contributed to interdisciplinary fields including IoT security, smart healthcare frameworks, and socio-technical systems analysis. His work spans technical domains like wireless sensor networks, tactical network management, and quantum dot material studies, alongside applied research in tourism economics, healthcare data analytics, and educational technology. Notable contributions include frameworks for energy-efficient physiological monitoring, secure IoT configurations, and machine learning-driven security protocols. Recent research highlights include: Developing secure mobile cloud computing paradigms Modeling Multipath TCP capacity bounds using stochastic theory Investigating AI applications for deepfake ethics and tourism marketing His publications span technical journals in computer networks, medical IoT systems, and interdisciplinary studies in cultural tourism and climate change resilience.

• Computer-Communication Networks
• Wireless Networks
• Network Security
• +5 more