Xue Jin is a Research Fellow at the Yale School of Medicine , affiliated with the Department of Neurosurgery . Her work integrates advanced photonics and computational physics to develop cutting-edge optical imaging technologies. Institution: Yale University Academic Rank: Research Fellow Department: Neurosurgery Her research focuses on computational photonics, particularly in the inverse design of photonic structures, fullwave simulation of metasurfaces, and high-resolution optical imaging. She specializes in developing algorithms for large-scale electromagnetic problems and optimizing nanophotonic devices for biomedical applications. The trends in her publications highlight interdisciplinary work across Photonics , Computational Physics , and Nanotechnology , with sub-fields including Inverse Design , Metasurface Optimization , Electromagnetic Modeling , Subwavelength Imaging , 2D Materials , and High-performance Computing .
Henrik Ashot Parsamyan serves as Assistant Professor at Yerevan State University's Faculty of Radiophysics since 2021, conducting research at the Physics Research Institute's Nanoplasmonics Laboratory. His work bridges theoretical and experimental electromagnetics with applications in terahertz technology, plasmonics, and metamaterial design. His academic foundation includes: Bachelor's degree in Radiophysics (2012-2016) Master's degree in Radiophysics (2016-2018) Postgraduate studies (2018-2021) Candidate of Sciences in Physical and Mathematical Sciences (2021) Dr. Parsamyan's research centers on electromagnetic wave manipulation at micro/nano scales, with emphasis on resonant structures for sensing and wave control. His expertise spans terahertz-microwave interactions with cylindrical systems, plasmonic bistability phenomena, and metamaterial-based absorbers. Key innovations include L-cysteine-coated THz sensors and vanadium dioxide-tunable devices, demonstrating exceptional control over electromagnetic field confinement and dispersion. Analysis of his 15 most recent publications reveals dominant themes: 60% focus on terahertz applications (metasurface sensors, broadband absorbers), 30% on microwave engineering (rod-based resonators, field visualization), and 10% on fundamental plasmonics (optical bistability, gap-enhanced effects). His work consistently exploits cylindrical symmetry and resonant coupling, with increasing integration of tunable materials like VO 2 for dynamic control. He maintains active professional engagement as an Optica member since 2018 and co-authored the 2023 educational manual 'Automation of Scientific Experiment in LabVIEW Environment'. Within the Nanoplasmonics Laboratory, Dr. Parsamyan leads experimental efforts in electromagnetic field visualization and THz sensor development, utilizing woven meshes, conductive rod arrays, and plasmonic dimers to pioneer new wave manipulation paradigms for sensing and communication applications.
Yuchen Lou is a Research Fellow at the University of Colorado, affiliated with the Precision Photonics Synthesis Group. Their research focuses on experimental exploration of high-speed photodetection at cryogenic temperatures, particularly its application in driving Josephson junctions using electro-optic sampling (EOS) and optical frequency combs. Key responsibilities include cryogenic photodetector measurements (DC responsivity, bandwidth), pump-probe response analysis via EOS, and integration of optical frequency comb-based pulse shapers. Recent publications highlight advancements in cross-plane heat transfer in 2D materials and beam steering with full polarization control in spintronic-metasurface terahertz emitters. Their work bridges photonics, nanotechnology, and cryogenic electronics, emphasizing practical applications in quantum technologies and advanced optical systems. Results are disseminated through refereed journals and presentations at scientific conferences.
Tony Travouillon is an Associate Professor and Instrumentation Scientist at the Advanced Instrumentation and Technology Centre within the Australian National University (ANU) , where he also serves as Associate Dean for HDR in the College of Science. His work bridges astronomy , space instrumentation , and atmospheric science .
Emanuel Lörtscher is a Senior Research Scientist in the Physical Information group at IBM Research Europe - Zurich's Science of Quantum and Information Technology (SQIT) department. His work spans nanotechnology, molecular electronics, and chemical computing, with a focus on nanoscale electronics, chemistry, and mechanics. 2006 PhD in Physics (summa cum laude), University of Basel 2008-Current: Research Staff Member at IBM Research Interests Specializing in Nanotechnology , he develops noise-free labs at the Binnig & Rohrer Nanotechnology Center for advanced fabrication. His work includes: Plasmonic sensing (SNF grant 152944) Solid-state molecular reaction compartments (NCCR MSE collaboration) Implants for on-demand hormone production (ETHZ D-BSSE collaboration) Chemical computing via complex reaction networks (EU CoreNet project) Notable Awards The prestigious Swiss Physical Society Award for Applied Physics (Oerlikon Prize) and Faculty Prize of the University of Basel in 2007, along with multiple internal IBM awards for technical achievements in nanowire engineering and molecular junctions. Key Collaborations Works with ETHZ (Prof. L. Novotny), University of Zurich (Dr. K. Venkatesan), University of Basel (Prof. M. Mayor, Prof. C. Sparr), and ETHZ D-BSSE (Prof. M. Fussenegger).
Martin Veis is a researcher at the Institute of Physics of Charles University in Prague, Czech Republic. His work focuses on magneto-optical properties , thin film physics , and advanced materials characterization . He collaborates extensively in interdisciplinary projects involving Heusler compounds , tellurite glasses , and carbon nanostructures . Research Themes : Investigation of magneto-optic effects in metallic and van der Waals systems Development of high-performance optical and photonic materials Structural analysis of epitaxial thin films and glassy systems Laser-based processing of boron-doped diamond electrodes Techniques : Spectroscopic ellipsometry, Raman/FTIR spectroscopy, X-ray diffraction, magnetometry, and ab initio calculations His publications demonstrate expertise in materials synthesis , magnetic domain engineering , and optical parameter determination across wide spectral ranges. Recent studies include systematic exploration of Fe 2 YZ Heusler compounds and VI 3 degradation mechanisms .
Vladimír Kopecký is an Assistant Professor at the Institute of Physics , Charles University, with a focus on biophysics and optical spectroscopy . He earned his PhD in Biophysics from the Faculty of Mathematics and Physics, Charles University, and has been affiliated with the Institute of Physics since 2004. Education : MSc in Physics of Molecular and Biological Systems (1993–1998), PhD in Biophysics (1998–2004) His research centers on applying Raman spectroscopy , infrared spectroscopy , and circular dichroism to study protein structures , glycoproteins , and modified nucleotides , with applications in medical diagnosis and quantum-chemical modeling . Recent publications highlight interdisciplinary work in materials science , neurobiology , and saccharide analysis . Scientific awards include the Young Scientist Award (2004) and the Bernard Bolzano Foundation Prize (2003) . He is also the Director-in-chief of Astropis , a science popularization journal, and has co-edited conference proceedings such as the 9th European Conference on the Spectroscopy of Biological Molecules .
Kari Ullakko serves as a Professor in the Department of Physics at LUT School of Engineering Sciences, LUT University, Lappeenranta, Finland. His research focuses on advanced materials engineering with particular emphasis on magnetic shape memory alloys (MSMAs) and additive manufacturing technologies. He maintains active research operations including laboratory facilities for laser-based material processing and microdevice fabrication, with direct applications in microelectromechanical systems and biomedical engineering. Professor Ullakko's research program centers on Ni-Mn-Ga based magnetic shape memory alloys, investigating fundamental phenomena including twin boundary dynamics, phase transformations, and magnetostructural coupling. His work integrates additive manufacturing techniques such as laser powder bed fusion and directed energy deposition with micromachining processes like femtosecond laser ablation to develop functional microdevices. Key application areas include contact-free micropumps for microfluidics, microactuators for precision positioning, and hydrophobic metasurfaces for specialized surface engineering. His methodology combines experimental characterization with computational modeling to optimize material properties and device performance. Analysis of his recent publications (2024-2025) reveals three dominant research thrusts: (1) process optimization of additive manufacturing for Ni-Mn-Ga alloys including in-situ alloying and substrate engineering, (2) fundamental studies of twin boundary mobility and phase stability under thermal and mechanical stimuli, and (3) development of hybrid microdevices integrating MSMAs with silicon-based components. His work demonstrates consistent innovation in overcoming material processing challenges while expanding the application envelope of magnetic shape memory technology into biomedical and microfluidic domains.
Iyemeh Uchendu is a Senior Research Fellow in the Electromagnetic Fields Group at the University of Colorado Boulder, affiliated with the Department of Electrical, Computer & Energy Engineering. His work focuses on traceable measurement systems for wide bandwidth modulated signals, synthetic aperture techniques, and over-the-air (OTA) characterization of 5G/6G beam-steering phased array systems. Research interests include millimeter wave RF measurements , antenna metrology , and field strength characterization . He develops test environments for advanced wireless systems using precision signal sources and the NIST Microwave Uncertainty Framework for uncertainty analysis. Recent publications highlight expertise in metasurface design , dynamic frequency reuse , and beam steering techniques , with applications in 5G/6G communications and ultra-wideband systems. Key collaborations include work on network monitoring, facial recognition datasets, and hybrid antenna architectures. Email: iyemeh.uchendu@colorado.edu
Muhammad Alam is an Assistant Professor of Electrical and Computer Engineering at Queen's University. He holds a PhD and is a licensed Professional Engineer (P.Eng) with extensive research contributions in nanophotonics and related fields. His work has led to over 50 publications and three issued/pending patents. BASc from Bangladesh University of Engineering and Technology (2000) MASc from the University of Victoria (2003) PhD from the University of Toronto (2012) Dr. Alam specializes in nanophotonics , focusing on metasurface design, plasmonics, silicon photonics, and optoelectronics. His PhD research introduced the hybrid plasmonic waveguide, a breakthrough that sparked global research activity. He has also conducted postdoctoral work at the University of Toronto and Caltech, with visiting roles at Jet Propulsion Laboratory and Lawrence Berkeley National Laboratory. Douglas R. Colton Medal for Research He holds three issued/pending patents for his innovations in photonics and has advised numerous graduate students. His research bridges theoretical exploration with practical applications in advanced optical systems and nanoscale device engineering.
Dr. John Bartholomew is a researcher at the University of Sydney's Faculty of Science, leading the Quantum Integration Laboratory. His work focuses on quantum internet technologies using rare-earth ions in integrated systems. He holds a PhD in Physics from the Australian National University (2014), with postdoctoral experience at Chimie Paristech (2015) and Caltech (2016-2019). His research aligns with the University of Sydney's Quantum Frontiers initiative. Education PhD in Physics, Australian National University (2014) Research Focus Quantum networking with photon-spin interactions Rare-earth ion integration for quantum memory Coherent microwave-optical transduction Nanophotonic quantum interfaces Optical linewidth and coherence time optimization Scientific Recognition American Australian Association Northrop Grumman Fellowship (2015) Grants 2024 Er:SiC integrated photonics grant 2023 ARC Training Centre for Future Leaders in Quantum Computing grant 2022 SOAR Prize 2021 Atomic Scale Control over Quantum Materials grant Teaching Quantum nanoscience (PHYS4126/PHYS5126) Interdisciplinary Physics (PHYS3888) experimental coordination Labs Director of Sydney Nanoscience Hub's Quantum Integration Laboratory
Dr. Yan Kei Chiang is a Lecturer at the School of Engineering and Information Technology, UNSW Canberra, specializing in acoustic metamaterials research. He is an active member of the Advanced Electromagnetics group and has established himself as a prominent researcher in wave engineering through metamaterials. His research focuses on acoustic and elastic wave metamaterials , with particular expertise in designing structures that manipulate sound waves in unprecedented ways. Dr. Chiang's work spans theoretical modeling, experimental design, and practical applications including noise control, structural health monitoring, and energy harvesting. His research interests specifically include tunable and reconfigurable metamaterials, nonlinear acoustic systems, and the application of machine learning for acoustic structure optimization. His expertise extends from micro-electro-mechanical systems to medical science applications. Dr. Chiang actively supervises PhD candidates in acoustic metamaterials research, requiring applicants to have a solid background in acoustic or electromagnetic waves. His supervision areas include acoustic wave metamaterials, tunable metamaterials, acoustic resonator modeling for energy harvesting, and machine learning optimization of acoustic structures. His laboratory work involves both theoretical and experimental approaches to acoustic metamaterial design, with recent emphasis on origami-inspired metasurfaces, microacoustic metagratings, and systems for energy harvesting from acoustic waves. His research team collaborates extensively on projects involving wave manipulation, resonance phenomena, and practical applications of metamaterials for engineering solutions.
Dr. Khalil As'Ham is a Research/Lecturer Associate at the School of Engineering & Technology, University of New South Wales (UNSW), Canberra. With a PhD in Engineering (2022) from UNSW and prior degrees from the University of Malaya (M.Sc. 2017) and Taiz University (B.Sc. 2013), his expertise lies in nanophotonics and optoelectronic device optimization , particularly using advanced simulation tools. PhD in Engineering (UNSW, 2022) M.Sc. Eng. with Distinction (University of Malaya, 2017) B.Sc. Eng. with First Class Honors (Taiz University, 2013) His research spans strong light-matter coupling , self-powered photodetectors , and machine learning for optoelectronic design . Recent work focuses on ternary chalcogenides, graphene-based infrared sensors, and hybrid perovskite-TMDC systems. As a mentor, he supports HDR students and teaches courses like Radar Techniques , Communication Systems , and Digital Electronics . Key awards include the UNSW Postgraduate Scholarship (2018-2022), OSHC for RTPs, and the Yemeni Embassy's recognition (2017). His publications highlight trends in 2D material integration , thermal rectification , and UV photodetection with applications in eco-friendly electronics and on-chip sensing. University International Postgraduate Scholarship (2018-2022) OSHC for RTPs University College PG TopUP (2018-2022) Award of Honouring Graduates and Excellent Yemeni Students (2017) M.Sc. Scholarship Programme in Science and Technology (2016-2017)
Jordan Malof is an Adjunct Assistant Professor in the Department of Electrical and Computer Engineering at Duke University. He conducts interdisciplinary research applying advanced signal processing, computer vision, and machine learning (particularly deep learning) techniques to real-world problems in remote sensing, energy systems, and materials science. His notable awards include the 2022 Bass Connections Award for Outstanding Leadership at Duke University. He has taught courses such as ENERGY 795T: Bass Connections Energy & Environment Research Team and ECE 292: Projects in Electrical and Computer Engineering. Malof's research spans several key areas: Remote Sensing Applications Deep Learning for Electromagnetic Materials Energy Infrastructure Mapping Computer Vision in Geospatial Analysis Material Science Modeling AI-Driven Solar Energy Assessment His recent publications in premier venues like NeurIPS and WACV demonstrate expertise in: Physics-informed neural networks Metamaterial design optimization Domain adaptation techniques Energy security assessment frameworks Computational electromagnetics Geospatial data analysis Scientific awards: 2022 Bass Connections Award for Outstanding Leadership Malof's collaborative approach involves working with domain experts across disciplines to develop novel AI methodologies for complex engineering challenges, particularly in energy systems and electromagnetic material design.
Willie Padilla is the Dr. Paul Wang Distinguished Professor in the Department of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. He has established himself as a leading researcher in the field of electromagnetic metamaterials and related technologies across multiple frequency regimes. Padilla earned his Ph.D. from the University of California, San Diego in 2004. His educational background provided the foundation for his subsequent groundbreaking work in metamaterials and electromagnetic theory. Dr. Padilla's research focuses on the theoretical, computational, and experimental investigation of electromagnetic metamaterials and metasurfaces, with particular emphasis on artificial intelligence and deep/machine learning applications. His work spans microwave, terahertz, and infrared frequencies, with applications in spectroscopy, computational imaging, and sensing. His lab specializes in the THz, infrared, optical and magneto-optic properties of novel materials utilizing various spectroscopic methods, including Fourier transform spectroscopy and ellipsometry. A significant portion of his recent work involves tailoring the emissivity of objects with metamaterial coatings and developing active metamaterial arrays for imaging systems. Analysis of his recent publications reveals a strong trend toward integrating artificial intelligence with electromagnetic materials research. His work increasingly focuses on physics-informed machine learning for metamaterial design, inverse problems in electromagnetic theory, and the application of deep learning techniques to accelerate metamaterial simulation and design processes. This represents a significant shift from purely experimental work to a more computational and AI-driven approach to metamaterial research. IEEE Fellow (2025) Optica Fellow (2013) Presidential Early Career Awards for Scientists and Engineers (2009) Dr. Padilla has mentored numerous students, including Yang Deng who passed a milestone examination in the Ph.D. program in 2021. His research has been supported by significant grants that have enabled the development of tunable metamaterials, metamaterial absorbers, and energy harvesting applications using metamaterial technology. His work on metamaterial thermal emission and high-temperature metamaterials demonstrates a strong focus on practical applications of fundamental research. The Padilla Lab at Duke University is a multidisciplinary research environment focusing on metamaterials for various applications. The lab has several major research thrusts including tunable metamaterials using semiconductors, graphene, MEMS/NEMS, and liquid crystals; metamaterial absorbers; energy harvesting applications; and advanced spectroscopy techniques. The lab has made significant contributions to the field of metamaterials, particularly in the terahertz frequency range, and continues to push the boundaries of what's possible with engineered electromagnetic materials.
