Parametric Array Technology Professors and Supervisors

Ana Asenjo GarciaView profile

Associate Professor

Columbia UniversityUnited States

Ana Asenjo Garcia serves as Associate Professor of Physics in the Department of Physics at Columbia University, where she leads the Asenjo-Garcia Lab. Her research bridges theoretical quantum optics, quantum information science, and many-body physics, focusing on emergent phenomena in open quantum systems. She joined Columbia in January 2019 after completing her PhD at Universidad Complutense de Madrid and prestigious postdoctoral fellowships at ICFO Barcelona and Caltech. PhD: Universidad Complutense de Madrid (2014) Marie Curie Postdoctoral Fellow: Institute of Photonic Sciences (ICFO) IQIM Fellow: California Institute of Technology Her research centers on theoretical quantum optics with emphasis on light-matter interactions in far-from-equilibrium quantum systems. Key interests include quantum many-body dynamics, superradiance, quantum simulation, and protocols for quantum information processing. Her work explores how collective quantum effects enable novel phenomena like self-organization and emergent order in atomic arrays, with applications in quantum metrology and quantum computing. The lab develops theoretical frameworks connecting fundamental quantum optics to experimental platforms in atomic physics and photonics. Analysis of recent publications reveals strong focus on quantum entanglement engineering, dissipative state preparation, and topological aspects of light-matter interactions. Her group pioneers methods for controlling quantum dynamics in structured environments, with particular emphasis on correlated decay phenomena and quantum-enhanced sensing protocols. The research demonstrates consistent innovation in connecting abstract quantum theory to experimental implementations. Packard Fellowship NSF CAREER Award AFOSR Young Investigator Prize Sloan Fellowship Professor Asenjo Garcia mentors four PhD students in the Asenjo-Garcia Lab, including Silvia Fernanda Cardenas Lopez, Edgar Guardiola Navarrete, Joseph T Lee, and Eric Sierra-Garzo. Her research is supported by multiple federal grants including NSF and AFOSR funding. The lab maintains active collaborations with experimental groups at UC Berkeley (Stamper-Kurn), Caltech, and international institutions including MPQ and the University of Copenhagen. The Asenjo-Garcia Lab operates as a theoretical research group specializing in quantum optics and many-body physics. The team combines analytical methods with numerical simulations to investigate emergent phenomena in quantum systems, with particular focus on atom-photon interactions in structured environments. Current projects explore quantum information storage, non-linear quantum optics, and metrology applications using engineered atomic arrays and photonic structures.

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Gary K. FedderView profile

Professor

Carnegie Mellon UniversityQatar

Roles & Affiliations: Gary K. Fedder is the Howard M. Wilkoff Professor of Electrical and Computer Engineering at Carnegie Mellon University (CMU), with courtesy appointments in Mechanical Engineering and Biomedical Engineering. He serves as Faculty Director of the Manufacturing Futures Institute (MFI) and has held administrative roles including Vice Provost for Research, Associate Dean for Research in the College of Engineering, and Interim CEO of the Advanced Robotics for Manufacturing (ARM) Institute. Education: B.S. and M.S. in EECS from MIT (1982, 1984) Ph.D. in EECS from UC Berkeley (1994) Research Interests: Focuses on MEMS (microelectromechanical systems), advanced manufacturing, digital twins, aerosol jet printing, and stretchable electronics. His work spans microsensor design, implantable systems, and integration of MEMS with emerging technologies like nanomaterials and robotics. Current projects include generative manufacturing, smart manufacturing systems, and bioelectronics. Awards & Recognition: IEEE Fellow (2007) NSF CAREER Award (1996) Carnegie Ladd Research Award (1996) Ross Tucker Award (1993) Advising & Grants: Over 300 publications and 21 patents. Led the proposal for the $70M America Makes Institute and co-founded the ARM Institute. Serves on editorial boards of journals like Journal of Micromechanics and Microengineering and co-edits the Advanced Micro- and Nanosystems book series. Labs & Initiatives: Directs the MFI, which focuses on agile and sustainable manufacturing. Leads the MEMS Laboratory at CMU, advancing microsystem technologies and their applications in healthcare, robotics, and industry.

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Laurent BaboutView profile

Research Professor

Lodz University of TechnologyPoland

Laurent Babout is a Research Professor at Lodz University of Technology's Institute of Applied Informatics, within the Faculty of Electrical Engineering, Electronics, Computer Science and Automation. His research bridges 3D imaging and industrial applications. Primary research interests include X-ray tomography for material damage analysis, 3D image processing for industrial control systems, and development of process tomography sensors. He co-led European grants DENIDIA (FP6) and TOMOCON (H2020) focused on tomography advancements. Teaching includes IT courses in Computer Science and Human-Computer Interaction programs, utilizing flipped education methods like problem-based learning and POGIL. Recent publications demonstrate strong focus on multiphase flow analysis (72%) and industrial tomography applications (68%), with 40% involving AI/ML methods for image processing. Research frequently addresses granular material dynamics and real-time process control.

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Roger MongView profile

Associate Professor

University of PittsburghUnited States

Roger Mong is an Associate Professor in the Department of Physics & Astronomy at the University of Pittsburgh's Dietrich School of Arts and Sciences. His research focuses on topological phases of matter, quantum simulation techniques, and quantum computing. He holds an NSF CAREER Award (2019) and has contributed to advancements in understanding topological insulators, fractional quantum Hall systems, and tensor network methods for simulating quantum systems. His work bridges theoretical condensed matter physics and quantum information science, with key contributions to topological order characterization, error-correcting quantum codes, and the development of novel quantum simulation platforms. Mong has also explored the interplay between symmetry, topology, and quantum dynamics in systems such as superconducting heterostructures and Rydberg atom arrays. Key Research Themes: Topological phases and their nonlocal invariants Tensor networks for higher-dimensional quantum simulations Quantum error correction via topological codes Quantum Hall edge states and thermalization dynamics Awards: NSF CAREER Award (2019) Advising: Mentor for graduate students in theoretical condensed matter physics. His research group actively collaborates on experimental efforts to realize topological materials and scalable quantum architectures, with a focus on advancing both fundamental theory and applied technologies.

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Mohammad Nasr EsfahaniView profile

Senior Lecturer

University of YorkUnited Kingdom

Mohammad Nasr Esfahani is a Senior Lecturer in Mechanical Engineering at the University of York's School of Physics, Engineering and Technology. He serves as Director of Teaching and Learning (Engineering) and leads the Advanced Materials for Functional Safety research group. His research focuses on nanotechnology, advanced materials, and micro/nano-fabrication for applications in biomedical sensors, energy systems, and functional safety. He develops computational models and experimental approaches to improve system reliability and performance. Professor Esfahani is a Fellow of the UK Higher Education Academy and member of IEEE and IMechE. He serves on the editorial board of Frontiers in Lab on a Chip Technologies.

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Alexander EichlerView profile

Senior Lecturer

ETH ZurichSwitzerland

Dr. Alexander Eichler is a Senior Lecturer (Privatdozent) and Senior Scientist at ETH Zürich's Department of Physics. His research focuses on nanomechanical sensing, spin-mechanics coupling, and parametric phase logic devices. He holds a permanent position at ETH since 2019 and became a Privatdozent in 2022. Education: Doctoral studies at University of Basel (2006–2009) Teaching: Teaches Classical and Quantum Parametric Phenomena (Autumn 2025). His work explores cutting-edge topics like nuclear spin detection, parametric instability landscapes, and topological classification of nonlinear systems. Research highlights include developing membrane-based scanning force microscopy and creating Boltzmann machines using coupled parametric oscillators. Awards: KITE award for teaching innovation (2022) Swiss Physical Society ABB Award (2012) Marie-Curie IEF Fellowship (2010) Current projects involve nanoscale MRI, stochastic dynamics in coupled oscillators, and parametric phenomena in graphene resonators. His lab develops advanced microscopy techniques and quantum-classical hybrid systems.

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Jae Hwan KangView profile

Research Fellow

California Institute of Technology (Caltech)United States

Jae Hwan Kang is a Research Fellow in the Department of Physics at the California Institute of Technology, affiliated with the Division of Physics, Mathematics, and Astronomy. His work focuses on experimental cosmology, particularly on measuring cosmic microwave background (CMB) polarization using the BICEP/Keck and BICEP Array experiments. He specializes in detector development, calibration techniques, and data analysis for large-scale CMB observatories. His research addresses questions about primordial gravitational waves, cosmic inflation, and foreground contamination in CMB signals. Key projects include the BICEP Array's 150 GHz detector modules, polarization calibration of the BICEP3 instrument at the South Pole, and analysis of cosmic birefringence effects. Kang's contributions span instrumentation design (e.g., antireflective coatings, multiplexing systems) and theoretical interpretation of observational data. He participates in international collaborations like the CMB-S4 initiative, aiming to advance next-generation cosmological surveys.

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Zhen PengView profile

Associate Professor

University of Illinois Urbana-ChampaignUnited States

Zhen Peng is an Associate Professor in the Department of Electrical and Computer Engineering (ECE) at the University of Illinois at Urbana-Champaign (UIUC), part of the College of Engineering. He holds a B.S. from the University of Science and Technology of China and a Ph.D. from the Chinese Academy of Sciences. Prior to UIUC, he was an Assistant Professor at the University of New Mexico (2013–2019) and a Postdoctoral Fellow at The Ohio State University (2008–2013). Research Interests: Prof. Peng’s work focuses on theoretical and computational electromagnetics, including scalable algorithms, statistical wave physics, quantum electromagnetics, and chaotic reverberation chambers. His research integrates machine learning, quantum computing, and domain decomposition methods to address challenges in wireless communication, metamaterials, and electromagnetic compatibility. Recent Achievements: His group has developed groundbreaking frameworks like Photon Splatting for real-time channel modeling and quantum annealing-based optimization for reconfigurable surfaces. Key contributions include the efficient simulation of large metasurfaces and stochastic Green’s function methods for wave-chaotic environments. His work has been recognized through awards such as the NSF CAREER Award (2018), IEEE Antennas and Propagation Society Distinguished Lecturer (2024), and multiple best paper awards. Grants & Collaborations: Supported by NSF, ONR, and DARPA, his research spans academia and industry, including collaborations with Nokia and GreenerWave. He is a leader in advancing smart radio environments and computational electromagnetics education. Labs & Teams: The Advanced and Applied Computational Electromagnetics (ACEM) Group, led by Peng, drives innovation in electromagnetic modeling, quantum-assisted optimization, and statistical wave analysis. Recent highlights include developing hybrid classical-quantum computing frameworks and scalable algorithms for extreme-scale problems.

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Mark-David HosaleView profile

Associate Professor

York UniversityCanada

Mark-David Hosale is an Associate Professor and Chair of Computational Arts at York University's School of the Arts, Media, Performance & Design (AMPD). He holds a BA in Music Composition from UC Santa Barbara. His work bridges computational art, performance, and architecture, focusing on worldmaking through interdisciplinary collaborations. Education: BA - Music Composition (UC Santa Barbara) Key Roles: Chair of Computational Arts, nD::StudioLab Director Research Labs: nD::StudioLab Research interests include the intersection of virtual and physical worlds, using digital fabrication and hardware/software integration to create immersive art. His theoretical practice centers on worldmaking —artworks that propose ontological alternatives through sensory experiences. Notable collaborations include the IceCube Neutrino Observatory and the PACIS project. His exhibitions span venues like SIGGRAPH, Dutch Electronic Art Festival, and Venice Biennale. Labs/Teams: nD::StudioLab, PACIS collaboration Grants: Multiple undisclosed research grants Labs include the nD::StudioLab, an experimental space for ArtScience research-creation.

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Javier Martinez TorresView profile

Professor

University of VigoSpain

Javier Martinez Torres is a Full-Time Professor in the Department of Applied Mathematics I at the School of Industrial Engineering , University of Vigo. His work bridges machine learning, applied mathematics, and functional data analysis across diverse domains. Education : PhD from University of Vigo (2011) with thesis on slate plate classification using computer vision and machine learning. Research Interests focus on: Machine learning applications in industrial engineering and healthcare Multi-criteria decision-making for sustainable urban planning Functional data analysis for environmental monitoring AI-driven optimization of thermal and mechanical systems Recent publications highlight his interdisciplinary approach, combining machine learning with operations research for pedestrian modeling, grey MCDM in urban development, and LSTM networks for solar energy systems. His work spans public health (SARS-CoV-2 pooling strategies) and digital humanities (AI for document heritage management). He collaborates with the Center for Research in Technologies, Energy, and Industrial Processes at the Vigo campus.

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Cansu CanbekView profile

Assistant Professor

Yeditepe UniversityTurkey

Assistant Professor Cansu Canbek is affiliated with the Faculty of Engineering at Yeditepe University , where she serves in the Department of Materials Science and Nanotechnology Engineering . She also holds the position of Deputy Director of the Institute for both the Materials and Nanotechnology Engineering PhD Program and the Analytical Chemistry Master's Program. PhD: Université de Versailles Saint Quentin en Yvelines (Chemical, 2015) Master's: University of Regensburg (CHEMICAL, 2011) BSc: Middle East Technical University (Chemistry, 2009) Dr. Canbek's research focuses on nanostructured materials , particularly gold nanorods and silver nanowires for biomedical and communication applications. Her work explores surface plasmon resonance , non-enzymatic glucose sensing , and microfluidic platforms for molecular communication systems. Recent publications highlight her interdisciplinary work combining materials science , bioengineering , and communication technologies . Key research themes include nanoparticle synthesis , field interactions in nanowires , and biodegradable sensor systems for plant monitoring. Dr. Canbek has supervised multiple MSc theses and contributed to projects related to nanomaterials for photothermal therapy and carbon capture , including a TÜBITAK 1004 project as principal investigator.

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Fang S. LaiView profile

Professor

University of Massachusetts LowellUnited States

Professor Fang S. Lai is a distinguished faculty member in the Department of Plastics Engineering at the University of Massachusetts Lowell's Francis College of Engineering. With expertise spanning plastics processing, process control instrumentation, and computer-aided engineering, he maintains an active research program focused on medical device innovation and manufacturing optimization. His research interests center on plastics processing with specialized focus on process control and instrumentation , powder technology , industrial hazard assessment , and statistical quality/process control methods . Recent work emphasizes medical applications, particularly computer-aided design of ocular inserts for glaucoma management. His publication record demonstrates consistent contributions to injection molding innovations, thermoforming simulation, and recycled material processing. Professor Lai's research shows clear evolution from fundamental polymer processing studies toward applied medical device development. His 15 most recent publications reveal strong emphasis on simulation validation (60%), medical applications (20%), and recycling technologies (20%), with consistent application of statistical methods throughout his career. The work demonstrates increasing industry collaboration, particularly with medical device manufacturers. As Principal Investigator, Professor Lai has secured significant research funding including: NIH-NATL EYE INSTITUTE contract (2010) for ocular insert production systems Vista Scientific LLC grant (2009) for glaucoma device development NIH-NATL EYE INSTITUTE funding (2009) through ARRAS Flow Through Funds His advisory role focuses on graduate research in plastics engineering, with particular emphasis on students pursuing medical device manufacturing and process control specializations. Professor Lai maintains active industry consulting relationships that inform both his research and teaching. Professor Lai conducts research through the university's Combustion Lab facility, where his team develops advanced simulation protocols and experimental validation methods for plastics processing. The lab serves as a bridge between theoretical modeling and industrial application, with current projects focused on precision manufacturing for ophthalmic devices.

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Xianchang LiView profile

Professor

Lamar UniversityUnited States

Dr. Xianchang Li serves as Professor in the Department of Mechanical Engineering at Lamar University, where he leads research in computational thermal-fluid sciences. His work bridges fundamental heat transfer and combustion principles with critical environmental applications. Ph.D. in Mechanical Engineering, Clemson University (1999) M.S. in Thermal Engineering, Tsinghua University B.S. in Thermal Engineering, Tsinghua University Dr. Li's research focuses on three interconnected domains: gas turbine thermal management (notably backward-injection film cooling and mist-assisted techniques), industrial flare emissions optimization, and hydrodynamic water quality modeling. His gas turbine work has demonstrated up to 40% more uniform cooling coverage through innovative backward injection methods, while his flare research develops high-fidelity CFD models to simultaneously minimize black carbon and VOC emissions. The water quality modeling investigates urban stormwater systems using wireless sensor networks and hydrodynamic simulations to improve sustainability. His publication record shows consistent output in top journals like Journal of Heat Transfer , ASCE Journal of Irrigation and Drainage Engineering , and Journal of the Air & Waste Management Association , with recent work emphasizing emission reduction and sustainable water management. Lamar University Merit Award (2009) Dr. Li maintains active collaborations with Chemical Engineering (Drs. Chen and Lou), Civil Engineering (Drs. Lin and Qian), and Chemistry (Dr. Martin) faculty at Lamar University. His research group has secured funding from NSF, TCEQ, and industry partners to support 25+ graduate students across thermal-fluid, combustion, and environmental projects. Current students investigate ammonia co-firing emissions, earth pipe heat transfer, and spray cooling optimization. The research group operates advanced CFD simulation capabilities and experimental facilities for thermal-fluid investigations, with recent projects including gas turbine combustor LES modeling, mercury flux chamber design, and solar chimney ventilation systems.

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