Find Academic Supervisors

Natasha VukovicView profile

Research Fellow

• Fiber Optics
• Laser Technology
• Nonlinear Optics
• +3 more

Dr. Natasha Vukovic is a Senior Research Fellow at the University of Southampton. Her research focuses on advanced fiber optics technologies, including multi-spot beam generation, nonlinear effects in fibers, and optical sensing methods. She has contributed to projects involving fiber laser design, material processing applications, and sensor development using innovative imaging techniques. Current supervision includes PhD student Mihai Stefan Merlas in the ORC (Optoelectronics Research Centre). Her work spans fiber laser efficiency optimization, polarization-maintaining fiber design, and the impact of packaging on active fiber performance. She collaborates extensively on projects involving femtosecond lasers, square lattice beam configurations, and Raman-based fiber characterization. Key research outputs include studies on Panda PM fiber modeling, multibeam generation systems, and force sensing methodologies. These contributions advance applications in photonics, material processing, and high-precision optical systems.

Jerry ChenView profile

Associate Professor

• Neuroscience
• Neuroimaging
• Sensorimotor Integration
• +5 more

Jerry Chen is an Associate Professor in the Department of Biology at Boston University. His research focuses on understanding neural mechanisms of perception and abstraction through integrative approaches combining large-scale in vivo imaging with molecular and genetic tools in awake-behaving animals. Research interests include: Principles of long-range cortical communication during sensory processing and decision making Development of multi-area imaging technologies for comprehensive neuronal population monitoring Investigation of genetic determinants in cortical circuit organization and function Dr. Chen's publications demonstrate consistent focus on neuroimaging innovation, with recent work (2020-2025) advancing voltage imaging techniques, denoising algorithms, and cortical circuit analysis. Earlier research (2017-2019) established foundations in sensorimotor processing and cellular-resolution imaging. He teaches graduate courses in Cellular and Systems Neuroscience (BI755/AN810/NE700) and mentors students in computational neuroscience methods applied to neural circuit analysis.

Siddharth RamachandranView profile

Professor

• Photonics
• Nonlinear Optics
• Quantum Photonics
• +2 more

Siddharth Ramachandran is a Professor in Electrical and Computer Engineering at Boston University, leading the High Dimensional Photonics Lab where he studies light beams with spatio-temporal complexity and their applications. His lab focuses on singular optics, structured microscopy, and nonlinear/quantum photonics. Research interests include: Orbital angular momentum manipulation Nonlinear optical processes in fibers Quantum light generation Topological confinement phenomena High-dimensional quantum communication Recent publications demonstrate advances in mode-division multiplexing, fiber-based quantum sources, and machine-learning optimized optical systems. Work focuses on scaling mode capacity in optical fibers, developing novel light sources, and exploring topological effects in photonics. His group maintains collaborations across photonics and quantum optics research communities to develop next-generation optical technologies.

• Biomedical Microscopy
• Raman Spectroscopy
• Osteoarthritis Diagnosis
• +3 more

Anna Crisford is a Research Fellow in Biomedical Microscopy at the University of Southampton. Her work focuses on advanced imaging techniques for biomedical applications, particularly in osteoarthritis diagnosis and neurodegenerative disease research. Key research interests include: Raman spectroscopy for cartilage analysis Nonlinear microscopy in short-wavelength infrared Molecular imaging of protein aggregation Development of cost-effective photonics tools She has contributed to 10 publications between 2019-2025, with recent work on "Spectromics" mapping for osteoarthritis and quadrupolar A-D-A photon absorbing molecules. Collaborating with colleagues across chemistry, neuroscience, and biomedical engineering, her research bridges hardware development and clinical diagnostics. Currently accepting PhD applicants, Crisford contributes to postgraduate research training while developing novel imaging technologies through interdisciplinary collaborations with the Neuroscience, Chemical Biology, and Diagnostics and Therapeutics research groups.

• Photonics Integrated Circuits (PICs)
• High Speed Photonic Devices
• Physics of Optical Waveguides
• +5 more

Frank Peters is a Professor in the Physics Department at University College Cork (UCC), Ireland, and leads the Integrated Photonic Group at the Tyndall National Institute. Previously, he worked in California at companies like Agilent Technologies and Infinera, contributing to the development of photonic integrated circuits (PICs). He joined UCC in 2005 and has since focused on high-speed and integrated photonic devices. He directed the Strategic Research Cluster: PiFAS (2007–2013) and currently leads the Irish Photonic Integration Centre (I-PIC) and CTVR2 photonics strand. His research interests include photonic integrated circuits, semiconductor lasers, computational modeling, and optical communication systems. Peters has developed software tools for photonic circuit design, such as the commercial package 'Vertical,' and his group works on finite element simulations, beam propagation codes, and optimization tools for PIC components. His recent work spans topics like monolithic integration of lasers, high-speed photodetectors, and advanced modulation schemes. Peters' contributions have been published in journals such as Optics Express, Journal of Lightwave Technology, and IEEE Photonics Technology Letters. He collaborates with industry and academia to advance photonic technologies for telecommunications and datacom applications.

Yanhua HongView profile

Academic

• Semiconductor Lasers
• Nonlinear Dynamics
• Chaos Theory
• +3 more

Dr. Yanhua Hong is a Reader in the School of Computing and Engineering at Bangor University. His research focuses on nonlinear dynamics of semiconductor lasers, chaos theory, and their applications in optical communications and microwave photonics. He leads projects such as 'Microwave Photonics Generation Using Low-Cost VCSELs' and has published extensively in journals like Optics Express and Photonics. Key areas of expertise include semiconductor laser dynamics under optical feedback, secure communication systems leveraging chaotic signals, and the design of photonic microwave generation systems. Hong collaborates internationally with institutions like Southwest University (China) and the Universitat Politècnica de Catalunya (Spain). He actively supervises PhD students and examines external theses. Recent work highlights include high-speed secure stream ciphers using synchronized chaos, optimization of multimode fiber imaging systems, and analysis of intermittent laser dynamics via reservoir computing. His contributions bridge fundamental research with applied photonics, contributing to advancements in optical security, signal processing, and next-generation communication networks.

Uğur TeğinView profile

Assistant Professor

• Photonics
• Nonlinear Optics
• Optical Computing
• +6 more

Uğur Teğin is an Assistant Professor at Koç University's Department of Electrical and Electronics Engineering, specializing in photonics and the integration of optics with artificial intelligence. His research focuses on nonlinear dynamics in optical systems, particularly the generation and application of high-power ultrashort pulses in photonic technologies. He leads the Laboratory of Photonic Technologies (LPT), exploring areas such as optical computing, photonic neural networks, and spatiotemporal fiber dynamics. Education: BSc and MSc from Bilkent University, PhD from École Polytechnique Fédérale de Lausanne (EPFL), and postdoctoral research at Caltech. His research interests span 'Optics for AI and AI for Optics,' emphasizing novel applications of nonlinear wave dynamics. Key projects include scalable optical learning operators, spatiotemporal chaos-based neural networks, and real-time control of multimode fiber dynamics using AI. Recent work highlights include breakthroughs in optical computing through multimode fibers and the development of fiber-based diffractive neural networks. His research has been featured in Nature Computational Science , Nature Machine Intelligence , and Optica , alongside coverage in The Economist . Dr. Teğin collaborates actively on grants related to nonlinear photonics and advises on cutting-edge photonic technologies. His lab (LPT) focuses on translating theoretical advancements into practical photonic solutions for computing and imaging.

Logan WrightView profile

Assistant Professor

• Physical Computation
• Control Systems
• Complexity Science
• +4 more

Logan Wright is an Assistant Professor of Applied Physics at Yale University, affiliated with the School of Engineering & Applied Science. His research focuses on physical computation, control, and complexity in photonics, with expertise in multimode nonlinear systems and quantum neural networks. He holds a Ph.D. from Cornell University (2018). Key research areas include automated experimental science using physics-informed machine learning, multimode quantum photonics, and developing high-dimensional optical tools for sensing and computing. His work bridges photonics with fields like robotics and applied mathematics, emphasizing experimental and theoretical approaches. Notable awards include the Cornell William Nichols Findley Award (2018 and 2015), Tingye Li Innovation Prize (2018), and Optica Outstanding Reviewer Recognition (2017). His publications span topics like physical neural networks and nonlinear optical systems, with contributions to Nature , Nature Physics , and Optica . His lab, the Wright Applied Physics Lab, explores photonic computing, experimental science automation, and multimode photonics. The lab seeks to develop photonic brains and high-dimensional light tools, collaborating on projects funded by grants such as a $9M ONR award for chaos-taming with AI.

Pengfei FanView profile

Lecturer

• Computational Imaging
• Low-level Vision
• Image Restoration and Enhancement
• +3 more

Dr. Pengfei Fan is a Lecturer in Data Science and AI at Queen Mary University of London (QMUL). He holds a PhD from QMUL (2021), focusing on learning-based imaging through dynamic scattering media. He previously served as an Assistant Professor at Xi'an Jiaotong-Liverpool University (2022–2024) and as a Research Associate at Nanjing University of Science and Technology (2021–2022). He also held a Visiting Researcher position at Tsinghua University (2020). His research interests span computational imaging, low-level vision, and medical imaging applications. He has secured grants such as the President and Principal’s Fund for Educational Excellence (2024) and collaborates with organizations like EPSRC, Royal Society, NSFC, and Jiangsu Science and Technology Programme. Pengfei is an active member of academic societies (IEEE, IET, BMVA, OSA, SPIE, IAPR) and holds Fellow status with the Higher Education Academy (FHEA). He contributes to educational initiatives via roles at QMUL-BUPT Joint Teaching and Learning Centre and the Centre for Excellence in AI in Education. His recent work emphasizes diffusion models, medical image segmentation, and competition-based learning in education. He welcomes PhD applications through CSC, CONACYT, and HEC.

Lei SuView profile

Professor

• Sensors and Instrumentation
• Optical Devices and Systems
• Optoelectronics
• +8 more

Professor Lei Su at the School of Engineering and Materials Science, Queen Mary University of London , specializes in photonics with applications spanning healthcare, energy, and security . His work integrates optical devices, optoelectronic materials , and artificial intelligence to advance sensing, imaging, and communication technologies. His research explores multimode fiber optics , perovskite materials , and deep learning-driven photonic systems , focusing on challenges like shape sensing , soliton dynamics , and stability enhancement in optoelectronic devices. Key trends include biomimetic photonics , scalable manufacturing , and AI-enabled signal processing . Professor Su has secured substantial funding from EPSRC , BBSRC , and Innovate UK for projects such as Clock-Chips and Wearable ultrasound sensors . His collaborations emphasize interdisciplinary innovation , bridging materials science , nanotechnology , and biomedical engineering .

• Laser Physics
• Optical Engineering
• Photonics
• +3 more

David Lancaster is a Professor and EOS Chair in Laser Physics at the University of South Australia (UniSA), affiliated with UniSA STEM. His research focuses on advanced optical technologies, including laser physics, photonics, and optofluidic biosensors. He leads projects in waveguide fabrication, mid-infrared optics, and sensor development for biomedical and environmental applications. Key research interests include ultrafast laser processing of optical materials, integrated optics, and fiber-based sensing systems. Notable achievements include high-index waveguides in fluoride glass and deep learning-enhanced fiber sensors for respiration monitoring. He collaborates widely, with recent work published in Optics Express , ACS Applied Materials & Interfaces , and Journal of Lightwave Technology . Lancaster supervises research students and holds grants such as ARC FT200100590 (2020). His lab, the Laser Physics and Photonics Devices Lab, develops innovative optical devices and sensors, contributing to fields like medical diagnostics and environmental monitoring.

Sumeet MahajanView profile

Professor

• Raman Spectroscopy
• Label-free Imaging
• Neuro-diagnostics
• +4 more

Prof. Sumeet Mahajan is a Professor in Molecular Biophotonics & Imaging at the University of Southampton with a joint appointment in the Institute for Life Sciences. His research focuses on developing novel spectroscopy and imaging techniques for biomedical diagnostics, including Raman spectroscopy and label-free imaging. He leads interdisciplinary projects in neurodegenerative disease detection, anti-microbial resistance, and environmental health, with significant funding from EPSRC, ERC, and industry partners. Education: MSc, MTech (IIT Kanpur), PhD (University of Southampton). Postdoctoral research at the Cavendish Laboratory, University of Cambridge. Awards include ERC Starting Grant (2015) and EPSRC Fellowship (2010). Active in translational research and commercialization, collaborating globally with institutions and companies like AstraZeneca. Research interests: Neuro-diagnostics, early dementia detection, biomedical imaging, and spectroscopic innovations. Supervises PhD students and leads major grants including the £6.2M EPSRC Transformative Healthcare 2050 program.

Jacqui RomeroView profile

Associate Professor

• Quantum Information
• Quantum Technologies
• High-dimensional Quantum Systems
• +3 more

Associate Professor Jacqui Romero is an expert in experimental quantum information science at the University of Queensland (UQ), leading the Qudits@UQ research group. She holds a PhD from the University of Glasgow and has held prestigious fellowships including the ARC DECRA (2016) and Westpac Research Fellowship (2019). Her research focuses on high-dimensional quantum systems (qudits), exploring their applications in quantum technologies such as communication, computation, and error correction. She is affiliated with the ARC Centre of Excellence for Engineered Quantum Systems (EQUS) and teaches quantum technologies at UQ. Education: Bachelor of Applied Physics (magna cum laude), University of the Philippines Diliman Master of Science in Physics, University of the Philippines Diliman Doctor of Philosophy, University of Glasgow Research Interests: Dr. Romero’s work emphasizes generating and characterizing high-dimensional quantum states, designing quantum devices via inverse optimization, and testing indefinite causal order phenomena. Her team explores quantum error correction, quantum imaging, and the advantages of high-dimensional entanglement in robust quantum communication. Awards: L’Oréal-UNESCO For Women In Science Award (2017) Ruby Payne-Scott Medal (2018) L’Oréal-UNESCO International Rising Talent Award (2019) Grants & Funding: ARC Training Centre in Current and Emergent Quantum Technologies UQ Major Equipment Grant for a multimode optical waveguide facility Labs & Teams: Qudits@UQ, a dedicated experimental group advancing quantum technologies through photonics-based high-dimensional systems research.

Sixian YouView profile

Assistant Professor

• Biophotonics
• Microscopy
• Computational Imaging
• +3 more

Sixian You is an Assistant Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT), and a Principal Investigator in the MIT Research Laboratory of Electronics. Her research focuses on biophotonics, microscopy, and computational imaging, with applications in biomedical problems. She develops optical imaging systems to address scientific and clinical challenges, emphasizing light-tissue interactions and algorithmic innovations. Education: Ph.D. and M.S. in Electrical Engineering, University of Illinois at Urbana-Champaign (2019, 2016) B.S. in Biomedical Engineering, Huazhong University of Science and Technology (2013) Research Interests: Her work integrates optical physics, instrumentation, and algorithms to create advanced imaging tools. Key areas include nonlinear microscopy, adaptive fiber sources, wavefront shaping, and AI-driven imaging analysis. She explores applications in live tissue imaging, metabolic profiling, and biomarker discovery. Awards & Recognition: Amazon Research Award Microscopy Innovation Award Nikon Photomicrography Competition Image of Distinction Advancing Imaging Science: Her lab, the Optical Imaging Group, emphasizes interdisciplinary collaboration. Projects include developing self-localized ultrafast beams, photon-efficient microscopy, and AI-assisted diagnostics. Recent work highlights deep metabolic imaging and label-free tumor assessment. Labs & Teams: Principal Investigator at MIT Research Laboratory of Electronics, leading the Optical Imaging Group. Collaborates widely, with team activities including annual retreats and fieldwork (e.g., 2023 Acadia trip).

• Optical Communication
• Spatial Division Multiplexing (SDM)
• Nonlinear Interference in Optical Fibers
• +4 more

Chiara Lasagni is a Researcher at the Department of Engineering and Architecture, University of Parma, where she is actively engaged in research and teaching in the field of Communication Engineering. She teaches the course Network Performance in the Second Cycle Degree in Communication Engineering for academic years 2023/2024, 2024/2025, and 2025/2026, and previously served as a tutor for the First Cycle Degree in Computer Technologies Engineering in 2021/2022. Her research focuses on advanced optical communication systems, particularly in the areas of spatial division multiplexing (SDM), nonlinear interference modeling, mode dispersion effects, and machine learning applications for optical network optimization. Her work contributes to improving the performance and capacity of high-speed optical transmission systems, including submarine links. The recent publications highlight a strong trend in modeling and mitigating nonlinear effects in multimode and few-mode optical fibers, with increasing integration of data-driven techniques such as machine learning for low-complexity optimization. Her research bridges theoretical modeling and practical implementation in next-generation optical networks. She has not been publicly associated with any scientific awards or fellowships based on the available information. Chiara Lasagni advises students at the undergraduate level, having served as a teacher tutor, but no graduate advisees are listed. There is no mention of research grants or funding sources in the provided text. She is actively contributing to impactful research in optical communications through collaborations with notable researchers such as Paolo Serena, Alberto Bononi, and Antonio Mecozzi. No specific laboratory or research team name is mentioned, but her work appears to be part of a larger research group focused on optical communications and network performance within the Department of Engineering and Architecture at the University of Parma.