Jay Shah
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Mail code: 8809Campus: Tempe
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Student Information
Graduate StudentComputer Science
Ira A Fulton Engineering
Ph.D. in Computer Science Arizona State University - 2024
Masters in Computer Science Arizona State University - 2020
Bachelors in Information and Communication Technology Dhirubhai Ambani Institute of Information and Communication Technology - 2018
Research Assistant, Ph.D. student Working with Dr. Baoxin Li and Dr. Teresa Wu on projects with a focus on using Deep Learning models for biomarker discovery for Alzheimer's disease and building Interpretable AI models for healthcare applications.
SciHub, Arizona State University Collaborated with Frank Wilczek, Professor of Physics at MIT, ASU & Nobel Laureate (2004), & Nathan Newman, Professor and Lamonte H. Lawrence Chair in Solid State Science at ASU to study human color perception and how we can use Machine Learning to expand our senses.
Building tools for an Automatic Art Authentication system using image analysis, classification, detection, unmixing & estimation of paint pigments.
- Deep Residual Inception Encoder-Decoder Network for Amyloid PET Harmonization Jay Shah, Fei Gao, Valentina Ghisays, Ji Luo, Yinghua Chen, Wendy Lee, Yuxiang Zhou, Tammie L.S. Benzinger, Eric M. Reiman, Kewei Chen, Yi Su, Teresa Wu, Alzheimer's & Dementia, the Journal of Alzheimer's Association, 2022 [link], [pdf]
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Neuropsychiatric symptoms and commonly used biomarkers of Alzheimer’s disease: A literature review from a Machine Learning perspective Jay Shah, Md Mahfuzur Rahman Siddiquee, Janina Krell-Roesch, Jeremy A. Syrjanen, Walter K. Kremers, Maria Vassilaki, Erica Forzani, Teresa Wu, Yonas E. Geda, Journal of Alzheimer's Disease, 2023 [link]
- Headache Classification and Automatic Biomarker Extraction from structural MRIs using Deep Learning Md Mahfuzur Rahman Siddiquee, Jay Shah, Catherine Chong, Simona Nikolova, Gina Dumkrieger, Baoxin Li, Teresa Wu, Todd J Schwedt, Brain Communications, 2022 [link]
- HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine Chong, Todd Schwedt, Baoxin Li, Simulation and Synthesis in Medical Imaging (SASHIMI), 2022 [MICCAI workshop] [link], [pdf], [code]
- Classification and Biomarker Discovery of Persistent Post-traumatic Headache (PPTH) Using Deep Learning on Structural Brain MRI Data Md Mahfuzur Rahman Siddiquee, Jay Shah, Todd Schwedt, Catherine Chong, Simona Nikolova, Gina Dumkrieger, Katherine Ross, Visar Berisha, Jing Li, Teresa Wu, OR/MS/Analytics in the Diagnosis and Treatment of Neurological Diseases, INFORMS Annual Meeting, 2022 [link]
- Participant-specific interrogation of population-based data to predict cognitive decline from neuropsychiatric symptoms and neuroimaging biomarkers: A machine learning approach Jay Shah, Jeremy A. Syrjanen, Janina Krell-Roesch, Walter K. Kremers, Prashanthi Vemuri, Maria Vassilaki, Ronald C. Petersen, Erica Forzani, Teresa Wu, Yonas E. Geda, American Academy of Neurology, Annual Meeting, 2023 [link]
- MRI signatures of Brain Age in the Alzheimer’s Disease continuum Jay Shah, Valentina Ghisays, Yinghua Chen, Ji Luo, Baoxin Li, Eric M. Reiman, Kewei Chen, Teresa Wu, Yi Su, Alzheimer's Association International Conference, 2022 [link], [pdf]
- Transfer Learning based Deep Encoder-Decoder Network for Amyloid PET Harmonization with Small Datasets Jay Shah, Kewei Chen, Eric M. Reiman, Baoxin Li, Teresa Wu, Yi Su, Alzheimer's Association International Conference, 2022 [link], [pdf]
- Classification of Post-Traumatic Headache using Deep Learning on Structural Brain MRI data Md Mahfuzur Rahman Siddiquee, Jay Shah, Todd Schwedt, Catherine Chong, Simona Nikolova, Gina Dumkrieger, Katherine Ross, Visar Berisha, Jing Li, Teresa Wu, American Headache Society 64th Annual Scientific Meeting June 9–12, 2022 Denver, Colorado. Headache, 62: 91 [link]
- Migraine Classification using Deep Learning on Structural Brain MRI data Md Mahfuzur Rahman Siddiquee, Jay Shah, Todd Schwedt, Catherine Chong, Simona Nikolova, Gina Dumkrieger, Katherine Ross, Visar Berisha, Jing Li, Teresa Wu, American Headache Society 64th Annual Scientific Meeting June 9–12, 2022 Denver, Colorado. Headache, 62: 91-92 [link]
- Deep Residual Inception Encoder-Decoder Network for Amyloid PET Harmonization Jay Shah, Valentina Ghisays, Ji Luo, Yinghua Chen, Wendy Lee, Baoxin Li, Tammie L.S. Benzinger, Eric M. Reiman, Kewei Chen, Yi Su, Teresa Wu, Arizona Alzheimer’s Consortium, 2021
- Interpreting Deep Learning Model Predictions using Shapley Values Jay Shah, Catherine Chong, Todd Schwedt, Visar Berisha, Jing Li, Katherine Ross, Gina Dumkrieger, Jianwei Zhang, Nathan Gaw, Simona Nikolova, Teresa Wu, INFORMS Annual Meeting, 2021
- Deep Residual Inception Encoder-Decoder Network for Amyloid PET Harmonization Jay Shah, Valentina Ghisays, Ji Luo, Yinghua Chen, Wendy Lee, Baoxin Li, Tammie L.S. Benzinger, Eric M. Reiman, Kewei Chen, Yi Su, Teresa Wu, Alzheimer’s Association International Conference, 2021 [link]
IEEE Impact Creator Award, January 2021
IEEE IAS Travel Grant Award, 2019, Baltimore, USA
CVPR, 2019 Travel Grant, Long Beach, California
IEEE IAS Travel Grant Award, 2018, Portland, USA
IEEE IAS Travel Grant Award, 2017, Cincinnati, USA
Poster 'Eco-Vending Machine' won the 1st prize at IEEE-IAS CMD International Robotic Contest - 2017
Personal Website: https://www.public.asu.edu/~jgshah1/
Subcommittee Chair, Conference Publication and Travel Program, IEEE
Research Assistant, Arizona State University, USA - May'20 - Present
Research Scientist Intern, Amazon Science (Halo Heath CV), Seattle - May'22 to Aug'22
Research & Development Intern, Philips Research Labs, Cambridge - June'19 to Aug'19
Graduate Research Assistant, Arizona State University, USA - (9 months)
Machine Learning Challenge Curator, HackerRank, India - (6 months)
Research Assistant, Nanyang Technological University, Singapore - Summer 2017
Research Assistant, DA-IICT, India - Summer 2016
Subcommittee Chair, Conference Publication and Travel Program, IEEE
More about me: https://www.public.asu.edu/~jgshah1/