Work with thought leaders and academic experts in optics

As an optical scientist with a strong foundation in optics, photonics, quantum dots, metamaterials, colorimetry, and spectroscopy, I have a diverse set of skills and experience in optical laboratories. My background in academia and industry has given me practical hands-on experience in this field. I am on track to earn my PhD in Physics.

Dr. Daniel Milej is a multidisciplinary researcher with experience in medical biophysics, electronics, biocybernetics, biomedical optics and engineering. He is highly knowledgeable and experienced in a range of research techniques. He is currently a Research Associate at the Lawson Health Research Institute, leading the transition of multimodal optical imaging systems from a research setting to clinical use in an ICU and OR environment, working closely with teams of nurses, surgeons, doctors and respiratory therapists. Previously he was a postdoctoral fellow working on developing noninvasive modalities for brain activity monitoring in the Department of Medical Biophysics at Western University. Before that, Dr. Milej worked as a researcher at the Nalecz Institute of Biocybernetics and Biomedical Engineering. He obtained his Ph.D. in 2014 from the Polish Academy of Science, specializing in Electronics and Biomedical Engineering. He received his MSc from the Military University of Technology in 2008.

Bartlett is a PhD student in applied physics at Stanford University. He also has a master's degree in electrical engineering from Stanford, and a bachelor's degree in physics and computer science from the California Institute of Technology. He has experience as an undergraduate researcher at the SLAC National Accelerator Laboratory and the European Organization for Nuclear Research.

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

Mengying Li is an Assistant Professor at The Hong Kong Polytechnic University. She received her Ph.D. in Mechanical Engineering from University of California, San Diego in 2018. Her research interests include predictive modeling, design optimization, and machine learning. She is also an expert in passive cooling devices.

Weinstein is a Principal Scientist at Brilliant.org, where he focuses on engineering education. He holds a Ph.D. in Mechanical Engineering from the Massachusetts Institute of Technology, and his research interests include the design of educational technology and the development of educational content.

Dr. Mohand Saed is an experienced mechanical engineer who is an expert in microfluidics and energy systems. He obtained his PhD in Mechanical engineering from the University of Colorado Denver in 2015 and his MS in Mechanical engineering from the same university in 2013. Throughout his career, he has had numerous research positions, including as a Senior Research Associate at the University of Cambridge, Postdoctoral Associate at the University of Texas at Dallas, and Research Assistant Professor at the University of Cambridge. He has published extensively on his research topics and holds several patents. He is also an active member of the technical community and is well known for his expertise in microfluidics and energy systems.

Early career academic at University of Pennsylvania in Electrical and Systems Engineering department. I am a device and materials engineer with extensive experience in semiconductor fabrication, processing and characterization. My primary interests lie in exploring novel materials for applications in electronic and photonic devices as well as in energy harvesting applications. I am equally interested in studying fundamental physical and quantum phenomena in matter under confined environments and exploiting them for useful technology. Actively searching for funding opportunities, science communication and outreach opportunities as well as research collaborations.

Arny Leroy is a mechanical engineer who specializes in the design of mechanical systems. Arny is currently a Research Specialist Limited at the Device Research Laboratory at MIT under the supervision of Prof. Evelyn N. Wang. As part of his PhD work, Arny worked on passive radiative and evaporative cooling using novel polyethylene aerogels for passive cooling of buildings and refrigeration of food produce. Arny is currently working on designing, fabricating, and testing a micro combustor for a portable atmospheric water harvesting device that can extract potable drinking water from the ambient air. Arny's work is motivated by advancing the fields of thermal and energy sciences to make a more energy efficient and sustainable world.