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Guifang LiView profile

Professor

• Optical Communication
• Networking
• RF Photonics
• +3 more

Guifang Li is a Professor of Optics and Electrical & Computer Engineering at the University of Central Florida (UCF), affiliated with CREOL, The College of Optics and Photonics. He holds the position of Editor-in-Chief of Advances in Optics and Photonics . His academic journey includes a Ph.D. from the University of Wisconsin-Madison and leadership roles such as Director of the NSF IGERT program in Optical Communications and Networking at UCF. Dr. Li's research focuses on optical communication and networking , RF photonics , and all-optical signal processing . His innovations include pioneering work on photonic computing architectures and high-capacity optical communication systems. He co-founded Optium, UCF's first venture startup, which became a public company (OPTM) in 2006 and later part of II-VI. His scientific contributions are recognized through prestigious awards, including the NSF CAREER Award, Office of Naval Research Young Investigator Award, and fellowships from IEEE, OSA, SPIE, and the National Academy of Inventors. He has advised over 20 Ph.D. students and leads a multidisciplinary research group involving postdoctoral scholars and graduate students. Recent research trends in his publications emphasize photonic computing (e.g., photonic matrix processors, floating-point arithmetic) and advanced optical systems (e.g., quantum cascade lasers, MPLC-based demultiplexers). His work bridges fundamental optics with practical applications in telecommunications and sensing. Labs/Teams: His research team specializes in optical communication systems, photonic integrated circuits, and computational optics.

Cosimo LacavaView profile

Assistant Professor

• Silicon Photonics
• Integrated Optics
• Nonlinear Optics
• +3 more

Cosimo Lacava is an Assistant Professor at the University of Pavia, Department of Industrial and Information Engineering. He works in the Integrated Photonics Laboratory (Floor F) and specializes in silicon photonics, integrated optics, and nonlinear optics for optical communications applications. His research focuses on developing advanced photonic integrated circuits for next-generation optical networks and signal processing systems. Dr. Lacava's primary research interests include: Silicon and silicon nitride photonic devices (design, fabrication and testing) Integrated electro-optic devices for telecommunications applications Design of highly spectral-efficient optical networks enabled by advanced modulation formats Digital signal processing (DSP) for telecommunication and data communication applications Nonlinear optics for all optical signal processing His recent publication record demonstrates significant contributions to integrated photonics, particularly in wavelength conversion technologies, nonlinear signal processing, and silicon nitride platforms. The research shows a clear progression from fundamental studies of nonlinear optical properties to practical implementations of photonic integrated circuits for optical communications systems. His work bridges theoretical understanding with practical device development for real-world applications. Dr. Lacava received his education at the University of Pavia, graduating with honors in Electronic Engineering in 2011 and completing his PhD in Optoelectronics and Electronic Engineering in 2014. Prior to his current position, he worked as a Senior Research Fellow at the Optoelectronics Research Centre, University of Southampton, and as a Postdoctoral researcher at the Quantum Electronics Laboratory at the University of Pavia working on the 'Fabulous' European Project. As an educator, he teaches Physics 1 for civil and environmental engineering students. His laboratory work in the Integrated Photonics Laboratory focuses on developing and testing photonic integrated circuits with applications spanning optical communications, signal processing, and emerging quantum information systems.

• Integrated optics
• Nanocrystals
• Nanomaterials
• +11 more

Lorenzo Pavesi is a Full Professor of Experimental Physics at the Department of Physics, University of Trento (Italy), where he leads the Nanoscience Laboratory with 25 members. His academic career spans over 30 years, including roles as Assistant Professor (1990), Associate Professor (1999), and Full Professor (2002). He founded semiconductor optoelectronics research at the university and established photonics laboratories focused on growth and advanced treatment of materials. Research Focus: Silicon photonics, quantum optics, nonlinear optics, optical sensors, and neuromorphic computing. Leadership: IEEE Italian Chapter on Nanotechnology founder, editorial board member for Frontiers in Physics , ETRI Journal , and Sensors . His work bridges photonics and electronics, with recent advancements in integrated quantum photonics and neuromorphic systems. He has managed numerous national and international projects, holds 9 patents, authored over 500 papers, and edited 15+ books. Awards include the Cavaliere title (2001), IEEE Distinguished Speaker (2010-2011), and fellowships from IEEE, SPIE, and SIF.

Nicolas GodboutView profile

Professor

• Photonics
• Optical Fiber Components
• Quantum Cryptography
• +6 more

Nicolas Godbout is a Full Professor and Department Director of the Department of Engineering Physics at Polytechnique Montréal. He holds a Ph.D. from Polytechnique Montréal and serves as Head of the Fiber Optics Laboratory and as a Researcher at the Center for Optics, Photonics and Lasers (COPL). His academic leadership extends to teaching courses including Fundamentals of Photonics, Waveguide Optics, Lasers, Quantum Optics, and Current Subjects in Photonics. Dr. Godbout's research spans multiple areas of photonics with particular emphasis on optical fiber components, quantum cryptography, quantum information, optical telecommunications, and nonlinear optics. His work bridges fundamental theoretical investigations with practical applications in telecommunications, biomedical imaging, and quantum technologies. He has made significant contributions to photonic lantern development, quantum key distribution systems, and optical fiber component design. Analysis of his recent publications reveals a strong trend toward interdisciplinary research combining photonics with biomedical applications, quantum information processing, and advanced computational modeling. His work demonstrates consistent innovation in optical fiber technology, with increasing focus on quantum applications and biomedical instrumentation over the past decade. The development of open-source tools like SuPyMode and PyMieSim highlights his commitment to advancing research methodology in the field. $377,000 awarded for Quantum Photonics Quebec projects (2022) Appointment as director of INTRIQ (2019) Dr. Godbout has supervised an extensive number of graduate students, with 9 completed Ph.D. theses and 21 Master's theses under his guidance, plus one currently in progress. His research has been supported by significant funding, including semiconductor research initiatives that received $120 million from the Canadian government as recently as July 2024. He actively collaborates with industry through Castor Optics, a company he co-founded with Professor Caroline Boudoux that specializes in optical fiber components. As Head of the Fiber Optics Laboratory and researcher at COPL, Dr. Godbout leads a dynamic research team focused on advancing photonics technology. His laboratory work spans from fundamental quantum optics research to practical applications in telecommunications and biomedical imaging. Recent activities include significant contributions to semiconductor research initiatives at Polytechnique Montréal, reflecting his leadership in positioning the institution at the forefront of advanced technology development.

• Biomedical imaging
• Lasers and optical physics
• Optical microscopy
• +3 more

Haohua Tu is a Research Assistant Professor at the University of Illinois, affiliated with the Department of Electrical and Computer Engineering within the College of Engineering. His research focuses on biomedical imaging and lasers/optical physics, particularly advancing multiphoton microscopy and nonlinear optical technologies for medical diagnostics and biomarker discovery. He develops innovative imaging systems like SCIFI (Supercontinuum Intrinsic Fluorescence Imaging) and SLAM (Simultaneous Label-Free Autofluorescence Multiharmonic) microscopy, aiming to commercialize label-free imaging solutions. Dr. Tu's work integrates optical engineering with biomedical applications, including real-time histopathology, cancer microenvironment analysis, and photodamage monitoring. His contributions span supercontinuum generation in fiber optics, computational photon counting techniques, and deep learning-based image correction. His research bridges fundamental photonics with clinical needs, addressing challenges in early cancer detection, treatment response assessment, and intraoperative diagnostics. Key technical areas include femtosecond laser systems, adaptive optics, and multimodal imaging approaches. His studies often involve collaborations in biomedicine and oncology, targeting applications such as breast cancer prognosis, pancreatic tumor monitoring, and urinary extracellular vesicle detection. While no specific grants or awards are mentioned, his prolific publication record reflects sustained innovation in optical imaging technologies.

• Semiconductor Engineering
• Optical Engineering
• Photon Science
• +4 more

Professor Tomohiro Kita is a distinguished faculty member at Tohoku University's School of Advanced Science and Engineering, specializing in silicon photonics and semiconductor laser technology. With a Doctor of Engineering in Materials from Japan Advanced Institute of Science and Technology Hokuriku, he has established himself as a leading researcher in integrated photonics and optical communication systems. His research interests span semiconductor engineering, optical engineering, photon science, silicon photonics, nonlinear optical effects, and semiconductor lasers. Professor Kita's work focuses on developing innovative photonic integrated circuits including wavelength tunable laser diodes, optical phased arrays, and high-speed optical switches. His research group has pioneered techniques for passive optical beam scanning, ultrafast thermo-optic switching, and hybrid integration of quantum dot technology with silicon photonics. Analysis of his recent publications reveals a strong emphasis on practical applications of silicon photonics for optical communications, lidar systems, and optical neural networks. His work demonstrates consistent innovation in overcoming key challenges such as thermal crosstalk in integrated devices, spectral linewidth narrowing, and expanding wavelength tuning ranges. Notably, his group has achieved record-breaking performance metrics including a 145 nm wavelength tuning range and sub-microsecond switching times. Best Paper Award 2023 for Silicon Based High Resolution Passive Optical Phased Array Consisting of Multi-Mode Waveguides Ishida Minoru Memorial Foundation Research Encouragement Award 2014 The 23rd Japan Society of Applied Physics Presentation Encouragement Award 2007 Professor Kita actively mentors students including Yamato Misugi, Kissho Iwanaga, and Yuga Tomimura, who frequently appear as first authors on his publications. He serves on multiple program committees including the IEEE International Semiconductor Laser Conference and Microoptics Conference. His research has attracted significant media attention, with coverage in Laser Focus World, Photonics Spectra, and major Japanese business publications. His laboratory focuses on developing practical photonic integrated circuits for next-generation optical communication systems and sensing applications, with strong industry collaboration particularly with Japan's National Institute of Information and Communications Technology.

Yoann AltmannView profile

Professor

• Statistical signal processing
• Image processing
• Bayesian inverse problems
• +5 more

Yoann Altmann is Professor in the School of Engineering & Physical Sciences at Heriot-Watt University and a member of the Institute of Sensors, Signals & Systems. Since 2024 he holds the Chair in Electrical, Electronic & Computer Engineering (EECE), directing a research programme that bridges statistical signal processing, computational imaging and quantum & neuromorphic sensing. Education & career: 2010 – Eng. degree (Electrical Engineering), ENSEEIHT, Toulouse, France 2010 – M.Sc. (Signal Processing), National Polytechnic Institute of Toulouse 2013 – Ph.D. (Signal & Communications), IRIT Laboratory, Toulouse 2014-2017 – Post-doctoral Research Fellow, Heriot-Watt University 2017 – Royal Academy of Engineering Research Fellow & Assistant Professor, HWU 2024 – promoted to Professor, School of Engineering & Physical Sciences, HWU Research interests: Prof. Altmann develops mathematical and algorithmic tools for Bayesian inverse problems, with emphasis on single-photon LiDAR, low-illumination imaging, neuromorphic computational sensing, variational inference and sparse reconstruction. His work combines principled statistical modelling with efficient computational schemes to enable imaging in extreme scenarios such as underwater scattering, photon-starved environments, quantum metrology and real-time 3-D scene reconstruction. Publication trends: Across 160 outputs (2011-2025) his recent articles reveal a clear trajectory toward integrating modern machine-learning paradigms—variational autoencoders, diffusion generative models, spiking neural networks—with rigorous physics-based forward models. Applications span quantum parameter estimation, multimode-fiber endoscopy, hyperspectral & Compton imaging, nuclear safeguards and cultural-heritage spectroscopy, demonstrating both methodological breadth and high-impact interdisciplinary deployment. Honours & recognition: Royal Academy of Engineering Research Fellowship – competitively awarded (2017) Grants & datasets: He has generated four open datasets supporting reproducible research in quantum sensing, variational autoencoders, underwater single-photon LiDAR and multispectral fluorescence imaging, reflecting sustained funding and commitment to open science. Continuous peer-review service for IEEE and Elsevier journals since 2013 underlines his standing within the signal-processing community. Labs & teams: He leads the Bayesian Imaging & Sensing Computing (BISC) group ( https://bisc.site.hw.ac.uk ) which hosts post-docs, PhD researchers and international visitors working on statistical machine-learning for imaging, sensing and quantum technologies.

• Hollow Core Optical Fibres
• Optical Communications
• High Power Fibre Lasers
• +1 more

Professor David Richardson, FREng, FRS, is a leading authority in optical fiber technology and its applications. Currently serving as Deputy Director of the Optoelectronics Research Centre (ORC) at the University of Southampton and Head of the ORC Fibre and Laser Group, he has over 30 years of experience in areas such as hollow core optical fibers, high power fiber lasers, and optical communications. His work has resulted in more than 1500 publications and 30 patents. His research spans the development of hollow core optical fibers for telecommunications and sensing, high power fiber lasers for industrial applications, and ultrafast lasers for biomedical imaging. Recent projects emphasize optical fiber stability , nonlinear optics , and data transmission efficiency , reflecting his commitment to advancing photonics and overcoming traditional silica fiber limitations. Key scientific contributions include: Fellow of the Royal Society (2018) Fellow of the Royal Academy of Engineering (2009) EU Horizon 2020 'Breaking the Optical Transmission Barriers' Prize (2016) Sir Harold Hartley Medal (2022) Professor Richardson has supervised over 70 PhD students to completion and mentored more than 100 postdoctoral researchers. He co-founded SPI Lasers (2000) and Lumenisity (2017), bridging academic research with industrial innovation. His collaborative work extends to major projects like the EPSRC Hyperhighway and Airguide Photonics Programmes.

• Machine Learning
• Deep Learning
• Cybersecurity
• +4 more

Dr. Yi Wang is an Associate Professor and Department Chairperson of the Electrical and Computer Engineering Graduate Programs at Manhattan College, New York. He also serves as Director of the Electrical & Computer Engineering Graduate Program. His research focuses on machine learning, deep learning, cybersecurity, blockchain, and their applications in cyber-physical systems. Dr. Wang is an IEEE Senior Member (since 2021) and has secured NSF grants totaling over $149,000. Education: Ph.D. Computer Engineering, University of Alabama in Huntsville M.S. Computer Science, Wuhan University of Science and Technology B.S. Information Systems, Wuhan University of Science and Technology Research Interests: Machine learning and deep learning algorithms Cybersecurity for IoT and smart grids Blockchain applications in attribute-based access control Adversarial machine learning defense mechanisms Optical fiber communication systems Recent Publications Trends: His work spans blockchain platform comparisons, adversarial attack mitigation in power systems, and AI-driven smart home solutions. He frequently publishes in IEEE journals and conferences. Awards: Best Paper Award at 2017 IEEE UEMCON Best Paper Award at 2015 ICDIP Grants and Advising: Principal Investigator for NSF-funded UIRiSCS project (2022–2025). Co-Principal on NYC DOT Loading Zone Study. Recipient of Manhattan College Faculty Summer Grants (2021, 2017). Advises graduate students in cybersecurity and IoT research. Labs/Teams: Collaborates with the University of Zaragoza, Spain on smart systems research. Leads projects on plastic optical fiber networks and AI-driven smart home systems.

Dimitris PsaltisView profile

Professor

• Optical Imaging
• Holography
• Biophotonics
• +3 more

Dimitris Psaltis is a Professor at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. He serves as Director of the Optics Laboratory and was Dean of the School of Engineering from 2007 to 2016. Previously, he held academic positions at Caltech, including Thomas G. Myers Professor of Electrical Engineering. Education : B.Sc., M.Sc., and Ph.D. in Electrical Engineering from Carnegie Mellon University (1974–1977). His research interests span optical imaging and holography , biophotonics , optofluidics , and renewable energy . Recent work explores machine learning integration into optical systems , such as photonic neural networks , diffraction tomography , and solar irradiance forecasting . Articles highlight advancements in subwavelength imaging , nonlinear optical computing , and AI-driven wavefront shaping . Scientific awards include: 1990 International Commission of Optics (ICO) Prize 2002 NASA Space Act Award 2003 Humboldt Research Award 2006 SPIE Dennis Gabor Award 2012 OSA Emmett N. Leith Medal 2016 OSA Joseph Fraunhofer Award Fellowships: SPIE (1986), OSA (1989), IEEE (2005), EOS (2012) His work has influenced biomedical imaging, optical computing, and energy applications, with recent projects focusing on lab-on-chip systems , multimode fiber endoscopy , and 3D printing of holographic elements . He leads the Optics Laboratory at EPFL, driving interdisciplinary research in photonic technologies.

Mickael MounaixView profile

Research Fellow

• Photonics
• Optical Engineering
• Biomedical Imaging
• +3 more

Dr Mickael Mounaix is a Research Fellow at the School of Electrical Engineering and Computer Science, University of Queensland. His research focuses on controlling the spatial and temporal properties of light through complex disordered materials (e.g., multimode fibers, biological tissues). He leads projects on optical time reversal, spatiotemporal beam shaping, and nonlinear light propagation. Key achievements include demonstrating time-reversed optical waves (Nature Communications, 2020) and controlling light delivery in multimode fibers (Nature Communications, 2019). His work has been featured in Phys.org and highlighted in international conferences like CLEO and ECOC. Education background: Ph.D. in Physics (university unspecified). Collaborations include Nokia Bell Labs, Crawford Hill Labs, and international institutions. His lab employs spatial light modulators and advanced software techniques for light manipulation. A fully funded Ph.D. project is currently available. Research interests span photonics applications in biomedical imaging and telecommunications, with a focus on overcoming scattering limitations in complex media. Recent innovations include programmable spatiotemporal exotic beams (2025) and high-dimensional light tomography (2023). His work bridges theoretical optics with experimental photonics, addressing challenges in light delivery and control. Media and outreach: UQ News press releases, YouTube abstracts, and pedagogical conference presentations (e.g., 75-minute CLEO 2020 talk). No explicit awards listed, but publications in top-tier journals highlight his contributions. Advising: No listed students yet. Grants: Not explicitly detailed in provided texts. Lab/teams: Focus on transmission matrix methods, spatiotemporal engineering, and optical time reversal systems. Ongoing projects include developing optical time reversers and analyzing multimode fiber characteristics without coherence (Referenceless 2023 work).

Emily GibsonView profile

Associate Professor

• Neurophotonics
• Biomedical Optics
• Neural Imaging
• +4 more

Dr. Emily Gibson is an Associate Professor in the Department of Bioengineering at the University of Colorado School of Medicine. She holds a PhD from the University of Colorado Boulder (2004) and a BS from the Colorado School of Mines (1997). Her multidisciplinary research focuses on developing advanced optical technologies for neuroscience applications. Her primary research interests include: Development of implantable miniature microscopes for two-photon brain imaging in freely behaving animals Superresolution STED microscopy for subcellular imaging of protein dynamics Optical interfaces for neural modulation and sensing in central and peripheral nervous systems Applications in brain mapping, neural circuit analysis, and bioelectronic medicine Dr. Gibson's recent publications demonstrate a strong focus on neurophotonic tool development, including miniature microscopes, fiber-optic imaging systems, and superresolution techniques. Her work consistently applies these technologies to study neural coding, learning mechanisms, and neurodegenerative processes. She leads the Biophotonics Lab at CU Anschutz, which actively develops open-source neurophotonic tools. Current projects include BRAIN Initiative-funded work on voltage imaging and NSF-supported research on odor navigation. Her lab maintains active collaborations with neuroscientists and clinicians to translate optical technologies into neuroscience research and clinical applications.

Roberto CalandraView profile

Professor

• Robotics
• Machine Learning
• Tactile Sensing
• +3 more

Roberto Calandra is a Full (W3) Professor at Technische Universität Dresden, where he leads the Learning, Adaptive Systems and Robotics (LASR) Lab. Previously, he served as a Research Scientist at Meta AI (formerly Facebook AI Research) and a Postdoctoral Scholar at UC Berkeley’s BAIR Lab under Sergey Levine. His academic journey includes a PhD in Robotics from TU Darmstadt, an M.Sc. in Machine Learning from Aalto University, and a B.Sc. in Computer Science from Università di Palermo. His research bridges Robotics and Machine Learning, focusing on tactile sensing, Bayesian Optimization, and model-based reinforcement learning. He pioneered the DIGIT tactile sensor , now the most widely used tactile sensor in robotics, and advocates for a computational field of Touch Processing to advance haptic understanding. His work emphasizes data-efficient learning, real-world dexterous manipulation, and multimodal perception. Recent publications highlight breakthroughs in tactile sensor design, in-hand object manipulation, and multimodal integration. He organizes workshops on robotics and machine learning (e.g., at NeurIPS, ICRA) and promotes open-source tools like PyTouch and TACTO .

• Biomedical Optics
• Optical Coherence Tomography (OCT)
• Quantitative Phase Microscopy
• +5 more

Adam Wax is a Professor of Biomedical Engineering and Professor of Physics at Duke University , where he leads cutting-edge research in optical spectroscopy for cancer detection , novel microscopy techniques , and low-coherence interferometry . As a member of both the Duke Cancer Institute Faculty Network and Duke Institute for Brain Sciences , he bridges engineering and biomedical applications. Education: B.S. from Rensselaer Polytechnic Institute (1993), M.A. (1996) and Ph.D. (1999) from Duke University Honors: Fellow, American Institute for Medical and Biological Engineering (2014); Fellow, SPIE (2010); Fellow, OSA (2010); NSF CAREER Award (2004) His research focuses on biomedical optics , particularly optical coherence tomography (OCT) and quantitative phase microscopy , with applications in early cancer detection , subcellular imaging , and clinical diagnostics . Recent work emphasizes low-cost, portable OCT systems for point-of-care applications and multimodal imaging combining spectroscopy with phase analysis. Scientific awards include: Fellow, American Institute for Medical and Biological Engineering (2014) Fellow, International Society for Optics and Photonics (2010) Fellow, Optical Society of America (2010) National Science Foundation CAREER Award (2004)

Sinead O'KeeffeView profile

Research Fellow

• Radiation Dosimetry
• Optical Fiber Sensors
• Brachytherapy
• +4 more

Sinead O'Keeffe is a Research Fellow at the University of Limerick in the Faculty of Science and Engineering , specifically within the Department of Electronic and Computer Engineering . Her research bridges the technical domain of optical fiber sensor development with critical applications in radiation therapy and sports medicine. Primary Research Themes Medical radiation dosimetry using optical fiber sensors Brachytherapy dose monitoring systems Sports injury prevention in Gaelic football and running Mental health literacy in rural farming communities Key Technical Contributions Development of scintillation-based dosimeters Characterization of perfluorinated polymer fibers 3D printed sensor systems for clinical and rehabilitation applications Interdisciplinary Applications Prostate cancer radiotherapy dose measurement Mental health intervention programs for athletes Work-family conflict analysis in Irish farming Email: sinead.okeeffe@ul.ie