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Mikhail Y. Shalaginov

Massachusetts Institute of Technology · US
🔎 Find collaborators in Electronic, Optical and Magnetic Materials · Electrical and Electronic Engineering →
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Area of research
Electronic, Optical and Magnetic Materials · Electrical and Electronic Engineering
Research interest
Research interests include Computer science, Convolutional neural network, Artificial intelligence, Optoelectronics, Materials science, and Photonics.
h-index
citations
2,215
works
24
NIH funding
primary concept
email

Recent publications

Autism Diagnostics: Analyzing Eye-Tracking Data with Neural Networks
2025cited by 0position: middledoi
Short-Term Lung Cancer Survival Prediction: Combining Linear Regression and Convolutional Neural Network
2024cited by 0position: middledoi
Prediction of Multiple Sclerosis Disease Progression Using Machine Learning Techniques on Datasets
2024cited by 0position: lastdoi
Wide field-of-view metalens: a tutorial
Advanced Photonics 2023cited by 65position: middledoi
Injury Risk Prediction in Soccer Using Machine Learning
2023cited by 0position: middledoi
Ultra-compact nonvolatile phase shifter based on electrically reprogrammable transparent phase change materials
PhotoniX 2022cited by 227position: middledoi
Reconfigurable Parfocal Zoom Metalens
Advanced Optical Materials 2022cited by 42position: middledoi
Phase Transformation and Switching Behavior of Magnetron Plasma Sputtered Ge<sub>2</sub>Sb<sub>2</sub>Se<sub>4</sub>Te
Advanced Photonics Research 2022cited by 29position: middledoi
Real-time Detection of Acute Lymphoblastic Leukemia Cells Using Deep Learning
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022cited by 22position: middledoi
A Deep Convolutional Neural Network For Early Diagnosis of Alzheimer’s Disease
2022cited by 9position: middledoi
A Deep Convolutional Neural Network For Diagnosis of Diabetic Retinopathy
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022cited by 4position: middledoi
Real-time Detection of Acute Lymphoblastic Leukemia Cells Using Deep Learning
bioRxiv (Cold Spring Harbor Laboratory) 2022cited by 4position: middledoi
Scoliosis Detection with Convolutional Neural Networks
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022cited by 3position: middledoi
Reconfigurable all-dielectric metalens with diffraction-limited performance
Nature Communications 2021cited by 387position: firstdoi
Multifunctional Metasurface Design with a Generative Adversarial Network
Advanced Optical Materials 2021cited by 196position: middledoi
Myths and truths about optical phase change materials: A perspective
Applied Physics Letters 2021cited by 121position: middledoi
Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in Metasurfaces
Advanced Optical Materials 2021cited by 103position: middledoi
Nonlinear Mid‐Infrared Metasurface based on a Phase‐Change Material
Laser & Photonics Review 2021cited by 52position: middledoi
Transient Tap Couplers for Wafer-Level Photonic Testing Based on Optical Phase Change Materials
ACS Photonics 2021cited by 39position: middledoi
Single-Element Diffraction-Limited Fisheye Metalens
Nano Letters 2020cited by 234position: firstdoi
Multi‐Level Electro‐Thermal Switching of Optical Phase‐Change Materials Using Graphene
Advanced Photonics Research 2020cited by 114position: middledoi
Broadband enhancement of on-chip single-photon extraction via tilted hyperbolic metamaterials
Applied Physics Reviews 2020cited by 55position: middledoi
A Deep Learning Approach for Objective-Driven All-Dielectric Metasurface Design
ACS Photonics 2019cited by 387position: middledoi
Design for quality: reconfigurable flat optics based on active metasurfaces
Nanophotonics 2018cited by 122position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Tian Gu · Massachusetts Institute of Technology14 papers (2018–2023)Juejun Hu · Massachusetts Institute of Technology13 papers (2018–2023)Tingying Helen Zeng · Massachusetts Institute of Technology9 papers (2022–2025)Hualiang Zhang · University of North Texas9 papers (2018–2023)Sensong An · Massachusetts Institute of Technology9 papers (2018–2023)Myungkoo Kang · Pennsylvania State University8 papers (2020–2022)Carlos Rı́os · Massachusetts Institute of Technology7 papers (2018–2022)Yifei Zhang · Massachusetts Institute of Technology7 papers (2018–2022)Anu Agarwal · Massachusetts Institute of Technology6 papers (2019–2023)Christopher Roberts · Massachusetts Institute of Technology5 papers (2020–2022) · 5 papers (2022–2022)Clayton Fowler · University of South Florida5 papers (2018–2021) · 5 papers (2019–2023)Kathleen Richardson · Massachusetts Institute of Technology5 papers (2019–2022)Fan Yang · Massachusetts Institute of Technology4 papers (2020–2023) · 4 papers (2020–2021)Steven A. Vitale · Massachusetts Institute of Technology4 papers (2020–2022)Bowen Zheng · University of California, Berkeley4 papers (2018–2021)Hong Tang · California Institute of Technology3 papers (2019–2021)Paul Miller · Massachusetts Institute of Technology3 papers (2021–2022)
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