Keynote Speakers

  • Frederique Vanholsbeeck

    Frederique Vanholsbeeck

    The University of Auckland, New Zealand

    Professor Frédérique Vanholsbeeck is an internationally recognised physicist working at the interface of biophotonics, optical fibre technologies, and biomedical imaging. She is a Professor of Physics at Waipapa Taumata Rau, the University of Auckland, where she is the founding leader of the biophotonics group. Her research encompasses optical coherence tomography (OCT), fluorescence and vibrational spectroscopy, nonlinear optics, and multimodal optical imaging, with applications in tissue biomechanics, bacterial detection, environmental sensing, and cultural heritage science. Her team has developed versatile fibre-based imaging systems that enable non-destructive, dynamic interrogation of biological tissues and environmental samples.

    In addition to her research, Professor Vanholsbeeck provides leadership within the international photonics community. She is Director of Te Whai Ao — the Dodd-Walls Centre for Photonic and Quantum Technologies, a New Zealand Centre of Research Excellence, and is widely recognised for her advocacy for diversity, equity, and inclusion in STEM. Overall, her work bridges fundamental optical physics with translational biophysical applications through interdisciplinary collaboration.

    Speech Title: A Tale of Force and Light: How Optical Coherence Tomography and Raman Spectroscopy, Combined with Mechanical Testing, Reveal the Dynamic Behavior of Healthy and Diseased Articular Cartilage

    Abstract: Articular cartilage achieves long-term load bearing and low-friction joint motion through a finely organised, depth-dependent collagen architecture and tightly regulated biochemical environment. Early disruption of this organisation alters tissue mechanics and molecular behaviour well before gross structural damage, such as osteoarthritis (OA), becomes apparent. However, conventional approaches rely on destructive, end-point analyses that preclude observation of cartilage dynamics under load. Here, we present a multimodal, non-destructive platform combining polarisation-sensitive optical coherence tomography (PS-OCT), Raman spectroscopy, and controlled mechanical compression to interrogate the coupled mechanical, structural, and biochemical response of cartilage in real time.
    We have validated a compression–imaging platform, which enables simultaneous acquisition of depth-resolved PS-OCT images, Raman spectra, and force–displacement data during in situ controlled loading. Using bovine cartilage-on-bone samples, the system reproducibly captures classical microanatomical deformation patterns, including chevron-shaped shear deformation and formation of a shear discontinuity, while revealing their temporal evolution during loading. Dynamic birefringence and Raman measurements demonstrate clear distinctions between healthy and artificially damaged cartilage within the first minutes of compression, highlighting the sensitivity of the approach to early mechanical dysfunction.
    This platform has been applied to study a range of cartilage tissue, from healthy to those with their surface removed, and cartilage with clear signs of degeneration. The aim is to elucidate mechanisms underlying the initiation of OA. PS-OCT reveals that healthy tissue exhibits a gradual, depth-dependent increase in birefringence with strain that stabilises over time, consistent with controlled collagen reorientation and effective load redistribution. In contrast, damaged and diseased tissues show rapid, irregular birefringence changes, loss of coherent shear boundaries, and reduced lateral load dissipation. Complementary Raman spectroscopy, analysed using two-dimensional correlation spectroscopy, shows coordinated protein-, proteoglycan-, and water-related biochemical responses in healthy cartilage, while diseased tissue exhibits faster, altered biochemical dynamics and disrupted molecular coupling.
    Together, these results demonstrate that healthy cartilage uniquely maintains coordinated mechanical, structural, and biochemical dynamics under load. The multimodal platform provides sensitive optical biomarkers of early degeneration and offers a powerful tool for early OA detection, functional tissue assessment, and evaluation of regenerative and therapeutic strategies.

  • Jayanta Kumar Sahu

    Jayanta Kumar Sahu

    University of Southampton, UK

    Jayanta Kumar Sahu is a Professor of Photonics at the University of Southampton, UK, specializing in fiber lasers, optical engineering, and photonics. His research spans fiber optics, optical communications, and material characterization, contributing significantly to advancements in photonic technologies. He is affiliated with the university's Optoelectronics Research Centre (ORC), where he leads research and development in speciality fiber technology. His expertise positions him as a key figure in the global photonics research community. He is a Fellow of Optica.

    Speech Title: Advances in Tm-doped Fibers for Power Scaling of 2 µm and 0.82 µm Lasers and Amplifier

    Abstract: Thulium (Tm-) doped fiber lasers (TDFLs) operating in the eye-safe 2 μm spectral region have demonstrated significant power scaling capability, following Yb-doped fiber lasers operating at 1 μm. Their high quantum efficiency (>1.9) under ~790nm laser diode pumping, enabled by a “two-for-one” cross-relaxation process, allows efficient high-power fibre laser operation, with demonstrated output powers of around 1 kW. However, the high thermal load in the fiber (on the order of several 100 W/m) presents significant thermal management challenges and can lead to fiber coating degradation and failure during high-power operation. Consequently, these thermal effects remain the primary limiting factor to further power scaling of 790 nm cladding-pumped TDFL systems beyond the kilowatt regime.
    This presentation reviews progress in cladding-pumped Tm-doped silica fibers with optimized core compositions and engineered refractive index profiles for achieving high laser efficiency at 2 µm and to support high-power operation at shorter wavelength region (~0.82 µm), which is particularly challenging to achieve. It further discusses high-temperature resistant coating that help prevent degradation under high-power operation and supports robust and reliable laser operation.

  • Kenneth Wong

    Kenneth Kin-Yip Wong

    The University of Hong Kong, China

    Kenneth K. Y. Wong is a professor and former Head of the Department of Electrical and Electronic Engineering at the University of Hong Kong. He has received numerous awards, including the Best Teacher Award (2005-06), Outstanding Young Researcher (2008-09), and Outstanding Research Student Supervisor (2018-19). He is an Associate Editor of Optica and has served on the Publications Committee of SPIE, as well as an editor for IEEE Photonics Technology Letters and Optics Express. A senior IEEE member and recent SPIE and Optica Fellow, he also co-taught a course at MIT during the 2009-10 academic year and is the former Chair of the IEEE Hong Kong Section.

    Speech Title: A Photonic, Ultra-fast, and Resource-Efficient Neural Network (PURE-NN)

    Abstract: Photonic neural networks (PNNs) show immense potential as a next-generation AI hardware paradigm. Yet, despite rapid hardware innovations, the gap between current PNN systems and practical AI applications remains significant; while effective as standalone components, PNNs are difficult to integrate into modern AI pipelines. To bridge this gap, this work proposes a versatile, digital micro-mirror device (DMD)-based PNN computing unit designed to minimize system complexity and electro-optic conversions. Furthermore, a GPT-inspired image task scheduler is introduced, which drives the PNN as a black-box processor to execute complex tasks.

  • Yoshiaki Yasuno

    Yoshiaki Yasuno

    University of Tsukuba, Japan

    Yoshiaki Yasuno leads the Computational Optics Group at the University of Tsukuba. He obtained his PhD based on his research work in spatio-temporal optical computing in 2000 and extended this concept to optical measurement, including Fourier-domain optical coherence tomography (OCT). Since 2003, he has been working in ophthalmic OCT imaging, including the retinal and the anterior-eye. He has also actively worked for OCT angiography and polarization-sensitive OCT. Since 2018, he has worked for OCT-based label-free microscopy, which enables multiple contrasts using computational technologies and theoretical modeling of modern metrology.

    Speech Title: Imaging Spheroid Morphology and Function by Computationally Augmented Optical Coherence Tomography

    Abstract: Spheroids are essential samples for cancer research and regenerative medicine. While recent advancements in cultivation technology have enabled the creation of larger, more complex spheroids that better mimic human physiology, standard imaging modalities cannot adequately assess the three-dimensional morphology and functions of living spheroids. Here, we demonstrate a new label-free, three-dimensional imaging modality: computationally augmented optical coherence tomography (CA-OCT). This modality does not use exogenous agents to highlight spheroid functions; instead, it leverages intrinsic intracellular dynamics to generate three-dimensional functional images. Additionally, several deep-learning models are incorporated to enhance both the imaging speed and quality of CA-OCT. In this talk, the concept and technical details of CA-OCT, as well as its application to spheroid imaging, will be presented.

  • Dong Liu

    Dong Liu

    Zhejiang University, China

    He currently serves as Deputy Director of the State Key Laboratory of Extreme Optical Technology and Instruments, Director of the Chinese Society for Optical Engineering, and Deputy Chair of the Laser Spectroscopy Committee of the Chinese Optical Society. He holds editorial positions including Executive Associate Editor of Journal of Atmospheric and Environmental Optics, Deputy Editorial Board Member of Laser Technology, and Editorial Board Member of Acta Optica Sinica, Infrared and Laser Engineering, and other academic journals. Additionally, he has acted as Chair/Co-Chair, member of the Science Committee and Program Committee for numerous domestic and international academic conferences.
    His main research interests cover machine vision-based defect inspection, interferometric detection for extreme environments, and lidar for environmental monitoring. He has presided over 5 research projects funded by the National Key R&D Program of China and the National Natural Science Foundation of China. He has authored 5 textbooks and monographs. As the first author or corresponding author, he has published over 100 papers in top-tier journals and conferences including PNAS, PhotoniX, Light: Science & Applications, Remote Sensing of Environment, Environmental Science & Technology and CVPR. More than 20 authorized national invention patents have been successfully industrialized. He has delivered over 100 keynote, plenary and invited reports at domestic and international academic conferences.
    His research achievements have been awarded two First Prizes of Zhejiang Provincial Science and Technology Progress Award (ranked first) and one Gold Award of the Jinsui Award for China Optoelectronic Instrument Brand List (ranked first). In teaching, he won the First Prize of Zhejiang University Teachers' Teaching Innovation Competition (ranked first). The postgraduate students supervised by him have received prestigious honors such as the AERSS Outstanding Doctoral Dissertation Award (only 6 recipients nationwide) and the Excellent Paper Award of the Chinese Society for Optical Engineering (only 7 recipients nationwide).

    Speech Title: Atmospheric and Oceanic Lidar for Environmental Studies

    Abstract: The complex and variable atmospheric-oceanic environment is of great significance to ecological protection, climate and meteorology, national defense, and military industries. Light Detection and Ranging (Lidar) possesses the advantages of cross-medium detection and high spatiotemporal resolution. When integrated with multi-platform Lidar systems, it enables large-scale, long-term continuous, and high-precision detection of atmospheric-oceanic parameters, exhibiting technical characteristics of cross-scale spatiotemporal fusion, multi-parameter high-precision coordination, and data closed-loop enhancement. Focusing on the "three-dimensional distribution of optical and microphysical properties of atmospheric aerosols, clouds, and marine particles in coastal areas," extensive experiments have been conducted on atmospheric-oceanic environmental Lidar systems with different platforms and mechanisms in China's inland lakes as well as offshore areas such as the East China Sea and the South China Sea, yielding a large amount of three-dimensional detection data of coastal ecological environment parameters in China.