Work with thought leaders and academic experts in photonics

Companies can benefit from collaborating with academic researchers in Photonics in several ways. Firstly, they can enhance their innovation by leveraging the expertise of researchers who are at the forefront of technological advancements. Academic researchers can provide access to cutting-edge technology and state-of-the-art facilities, enabling companies to develop and test new products and solutions. Additionally, collaborating with academic researchers allows companies to tap into a network of experts, fostering knowledge exchange and potential partnerships. Academic researchers can also contribute to solving complex technical challenges and provide valuable insights for product development. Lastly, collaborations with academic researchers can enhance a company's reputation and credibility in the industry, showcasing their commitment to research and development.

Researchers on NotedSource with backgrounds in photonics include Mesut Balaban, Ben Bartlett, Dr. Ekaterina Ponizovskaya Devine, Mohammad Alanzi, Mohand Saed, Deep Jariwala, Andrii Golovin, Francisco R Arteaga-Sierra, Mahsa Alijabbari, Pouya Dianat, and Fabio Feroldi.

Dr. Ekaterina Ponizovskaya Devine

University of California, Davis
Most Relevant Research Expertise
Photonics
Other Research Expertise (3)
Physics
Optics
Quantum communication
About
I am interested in new technology in optics, photonics, and quantum systems. I am motivated to find new solutions and develop new applications, constantly learning and improving my skills. I have a strong background in Physics and experience solving Multiphysics problems numerically with commercial software and using in-house code. I have experience with experimental equipment and automation. • Optics and Photonics. Design, modeling, and theoretical simulations and experiments for photonics components from UV to IR (high-speed photodetectors, metasurface structures, APD, SPAD, laser, VCSEL, lenses, interconnectors, sensors, fibers) for communications, sensors, image sensors, and quantum applications. Signal and image processing, temporal and special noise, stochastic process, stochastic resonance. Digital holography, wavefront reconstruction. Digital holography. Multi-physics simulation, non-linear optics. • Numerical methods (Monte-Carlo, FDTD, FEM, FFT, RCWA, BPM, TMM) for modeling complex multi-physics simulations, sparse matrices, ordinary and partial differential equations. Signal processing algorithms, machine learning, optimization, modeling probability distribution, time-dependent density functional theory, non-equilibrium Green’s functions. C++, Python, Matlab , Commercial software: Lumerical, Comsol, Zemax, Silvaco, LabVIEW, computer clusters parallel coding with CPU, parallel programming with CUDA and GPU. • New materials: quantum dots, photonic crystals, 2D materials, negative index materials, chirality, broken RT-symmetry, and non-Hermitian structures. Si, Ge, and III-V semiconductors. Turbulence, Mie and Raman scattering. • Quantum communication and quantum computing. Quantum to a classical interface. Quantum networks and Quantum Key Distribution system with noise and crosstalk. Quantum communication protocoles. • Experience with optical lab equipment, experiment automation, experimental setup, and alignment, data processing. Electrical and optical testing and data analysis. • Automation of a variety of systems, optical, cryogenic fuel loading, and storage systems. Physics-based models for a variety of physical systems (optics, photonics, fluid and gas dynamics, two-phase flow, cavitation). Prognostics for automated systems for NASA, using machine learning in combination with physics-based models. • Patents and publications in peer-reviewed journals: over 150 publications, conferences presentations at IEEE, APS, Optics https://scholar.google.com/citations?user=wpEXwjwAAAAJ&hl=en • Supervising students

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Example photonics projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on photonics?

Development of Advanced Optical Sensors

An academic researcher in Photonics can collaborate with a company to develop advanced optical sensors for various applications such as environmental monitoring, healthcare, and industrial automation. These sensors can provide high-precision measurements, real-time data analysis, and improved sensitivity, enabling companies to enhance their products and services.

Optical Communication Systems Optimization

Collaborating with an academic researcher in Photonics can help companies optimize their optical communication systems. Researchers can analyze and improve the performance of optical fibers, amplifiers, and signal processing techniques, leading to increased data transmission rates, improved signal quality, and enhanced network reliability.

Design and Fabrication of Photonic Integrated Circuits

Academic researchers in Photonics can assist companies in the design and fabrication of photonic integrated circuits (PICs). These compact and highly integrated circuits can enable advanced functionalities in areas such as telecommunications, sensing, and quantum computing. Collaborating with researchers can accelerate the development and commercialization of PIC-based products.

Optical Imaging and Spectroscopy Techniques

Companies can benefit from collaborating with academic researchers in Photonics to develop advanced optical imaging and spectroscopy techniques. These techniques can be applied in various fields such as medical diagnostics, materials characterization, and quality control. Academic researchers can provide expertise in the development of novel imaging systems, data analysis algorithms, and image processing techniques.

Photonics-based Renewable Energy Solutions

Collaborating with academic researchers in Photonics can help companies develop photonics-based renewable energy solutions. Researchers can contribute to the design and optimization of solar cells, photovoltaic systems, and energy harvesting devices, leading to improved energy conversion efficiency and cost-effectiveness.