Mar 2024 |
Organizing the tutorial on Rating AI Trustworthiness at ACM International Conference on AI in Finance 2024.
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Mar 2024 |
Invited talk on 'Mathematics and AI in the Financial Industry' at Punjab Engineering College, India.
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Feb 2024 |
Organizing the first workshop on AI in Finance for Social Impact at AAAI 2024.
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Nov 2023 |
Organizing Women in AI and Finance workshop at ACM International Conference on AI in Finance 2023.
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Apr 2021 |
Recieved the 2021 UIUC ISE Sharp Outstanding Graduate Student Award
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Dec 2020 |
Paper accepted at the IEEE Transactions on Biomedical Engineering (TBME) journal
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Aug 2020 |
Renamed the William A. Chittenden II Graduate Fellow for academic year 2020-2021
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Oct 2019 |
Recieved the Kanako Miura Award by the IEEE RAS Technical Committee on Humanoid Robotics
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VISA Research, Summer 2019
Mentors: Carolina Barcenas,
Chiranjeet Chetia,
Shubham Agrawal
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3M Electronics, Software & AI Research, Summer 2018
Mentors: David Redinger,
Brian J. Stankiewicz
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Quantitative Research, Quantlab Financial LLC, Summer 2017
Mentors: Areez Mody,
Matteo Nicoli
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Statistique, Analyse et Modélisation Multidisciplinaire (SAMM), Université Paris 1 Panthéon-Sorbonne, Summer 2015
Mentor: Julien Randon Furling
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Tata Institute of Fundamental Research (TIFR), India, Summer 2014
Mentor: Mythily Ramaswamy
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National Program on Differential Equations - Theory, Computation and Applications
Held at National Institute of Technology (NIT), Calicut, India, Winter 2013
Mentors: Satyananda Panda,
T. Suman Kumar
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See some excerpts from my journey here.
A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions - A Deep Learning Approach
Rachneet Kaur,
Robert W. Motl,
Manuel E. Hernandez,
Richard Sowers
IEEE Journal of Biomedical and Health Informatics (JBHI), 2022
Project page |
Paper |
Code |
Cite
We demonstrate the potential of deep learning with a multi-view digital camera-based gait analysis framework for neurological gait dysfunction prediction. This study suggests the viability of inexpensive vision-based systems for diagnosing certain neurological disorders.
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Identification and prediction of Parkinson's disease subtypes and progression using machine learning in two cohorts
Anant Dadu,
Vipul Satone,
Rachneet Kaur,
Hampton Leonard,
Hirotaka Iwaki,
Mary Makarious,
Lana Sargent,
Ali Daneshmand,
Sonja W. Scholz,
Mike A. Nalls,
Roy H. Campbell,
Faraz Faghri
npj Parkinson's Disease, Nature Publishing Group 2022
Project page |
arXiv |
Code |
Interactive website |
Cite
The machine learning techniques presented in this study may assist providers in identifying different progression rates and trajectories in the early stages of the disease, hence allowing for more efficient and personalized healthcare deliveries.
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Machine Learning and Price-Based Load Scheduling for an Optimal IoT Control in the Smart and Frugal Home
Rachneet Kaur,
Clara Schaye,
Kevin Thompson,
Daniel C Yee,
Rachel Zilz,
RS Sreenivas,
Richard Sowers
Energy and AI, Elsevier 2021
Project page |
Paper |
Video |
Cite
We pose and study a scheduling problem for an electric load to develop an Internet of Things (IoT) control system for power appliances, which takes advantage of real-time dynamic energy pricing.
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Predicting Multiple Sclerosis from Gait Dynamics Using an Instrumented Treadmill – A Machine Learning Approach
Rachneet Kaur,
Zizhang Chen,
Robert Motl,
Manuel Hernandez,
Richard Sowers
IEEE Transactions on Biomedical Engineering (TBME), 2020
Project page |
Paper |
Video |
Code |
Cite
Evaluating the effectiveness of a spatiotemporal and kinetic gait data-based machine learning framework for Multiple Sclerosis prediction.
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Predicting Alzheimer's Disease Progression Trajectory and Clinical Subtypes Using Machine Learning
Vipul Satone,
Rachneet Kaur,
Anant Dadu,
Hampton Leonard,
Hirotaka Iwaki,
Mary Makarious,
Lana Sargent,
Ali Daneshmand,
Sonja W. Scholz,
Mike A. Nalls,
Roy H. Campbell,
Faraz Faghri
Under Submission, 2020
Project page |
arXiv |
Code |
Interactive website |
Cite
The machine learning techniques presented in this study may assist providers in identifying different progression rates and trajectories in the early stages of the disease, hence allowing for more efficient and personalized healthcare deliveries.
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Exploration of Machine Learning to Identify Community Dwelling Older Adults with Balance Dysfunction Using Short Duration Accelerometer Data
Yang Hu*,
Alka Bishnoi*,
Rachneet Kaur,
Richard Sowers,
Manuel Hernandez
42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020
Project page |
Paper |
Slides |
Video |
Cite
Examining the feasibility of using wearable sensors, when walking, to identify older adults who have trouble with balance at an early stage.
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Automatic Identification of Brain Independent Components in Electroencephalography Data Collected while Standing in a Virtually Immersive Environment - A Deep Learning-Based Approach
Rachneet Kaur,
Maxim Korolkov,
Manuel Hernandez,
Richard Sowers
42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020
Project page |
Paper |
Slides |
Video |
Cite
Automated removal of unwanted artifacts on noisy and visually engaging upright stance Electroencephalography (EEG) data.
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Using Virtual Reality to Examine the Neural and Physiological Anxiety-Related Responses to Balance-Demanding Target-Reaching Leaning Tasks
Rachneet Kaur,
Rongyi Sun,
Liran Ziegelman,
Richard Sowers,
Manuel Hernandez
IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 2019
Project page |
Paper |
Slides |
Video |
Cite
Letting NeRF reason about occluders and appearance variation produces photorealistic view synthesis using only unstructured internet photos.
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Using Virtual Reality to Examine the Correlation between Balance Function and Anxiety in Stance
Rongyi Sun*,
Rachneet Kaur*,
Liran Ziegelman,
Shuo Yang,
Richard Sowers,
Manuel Hernandez
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019
Project page |
Paper |
Slides |
Video |
Cite
Examining the interaction between balance function and anxiety via a VR-based experimental setup, designed to simulate stressful environments involving postural threats.
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Using Virtual Reality to Examine the Neural and Physiological Responses to Height and Perturbations in Quiet Standing
Rachneet Kaur,
Rongyi Sun,
Liran Ziegelman,
Richard Sowers,
Manuel Hernandez
41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2019
Project page |
Paper |
Poster |
Cite
XXX Description XXX
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Exploring Characteristic Features in Gait Patterns for Predicting Multiple Sclerosis
Rachneet Kaur,
Sanjana Menon,
Richard Sowers,
Manuel Hernandez
41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2019
project page |
Paper
XXX Description XXX
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Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data
Vipul Satone,
Rachneet Kaur,
Faraz Faghri,
Mike A Nalls,
Andrew B Singleton,
Roy H Campbell
Machine Learning for Health (ML4H), Neural Information Processing Systems (NeurIPS), 2018
Project page
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arXiv
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Poster
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Code
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Blog
XXX Description XXX
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Virtual Reality, Visual Cliffs, and Movement Disorders
Rachneet Kaur,
Xun Lin,
Alexander Layton,
Richard Sowers,
Manuel Hernandez
40th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2018
Paper
XXX Description XXX
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Patents
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Methods and systems of path-based mapping and routing
3M Innovative Properties Company, 3M Company
Patent |
Project background |
Cite
Systems and methods of path-based mapping and routing are provided.
Translation information and absolute orientation information of mobile objects in environments are determined based on a fusion of sensing data from a radar and an
inertial measurement unit (IMU) including a gyroscope and an accelerometer, from which path-based maps and optimal routes can be generated.
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Sep 2021 |
Deep Learning for Multiple Sclerosis Prediction using Multi-Stride Dynamics in Gait
11th International Symposium on Gait and Balance in Multiple Sclerosis
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Aug 2021 |
Adaptive Control of Stride Length in Response to Perturbations While Walking in Older Women with Osteoarthritis
American Society of Biomechanics (ASB) Annual Meeting, 2021
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Predicting Multiple Sclerosis from Gait Dynamics
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Nov 2020 |
Graduate Seminar Series, Industrial & Enterprise Systems Engineering (ISE), UIUC [Video]
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Sept 2020 |
ACM poster presentation session, Virtual Grace Hopper Celebration for Women [Poster]
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Nov 2019 |
Using Virtual Reality High Fall-Risk Condition Training to Improve Postural Control Accuracy and Speed
American Congress of Rehabilitation Medicine 96th Annual conference, Progress in Rehabilitation Research
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Oct 2019 |
Using Virtual Reality to examine the correlation between balance function and anxiety in a quiet stance
Biomedical Engineering Society (BMES) Annual Meeting
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Predicting Multiple Sclerosis Disorder from Gait Patterns [Slides]
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May 2019 |
Illinois Geometry Lab Poster Session, Department of Mathematics, UIUC
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Mar 2019 |
9th International IEEE EMBS Conference on Neural Engineering (NER)
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IoT Dishwasher [Slides]
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Mar 2019 |
Presented by ISE undergraduate students at the Undergrad Research Symposium, UIUC and the Engineering Open House, UIUC
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Apr 2018 |
Demo for John Deere's visit, ISE, UIUC
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Nov 2017 |
Demo at the Mottier Innovation Challenge in Systems Engineering, UIUC
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Sept 2018 |
Visual Cliffs, Virtual Reality and Movement Disorders [Poster]
ACM poster presentation session, Grace Hopper Celebration for Women
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Apr 2018 |
Predicting the progressions of Alzheimer’s disease using Machine Learning [Poster]
2nd Illinois Health Data Analytics Summit
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Feb 2018 |
Optimal IoT Control for Power Consumption
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Coordinated Science Laboratory Student Conference, UIUC [Poster]
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IEEE Power and Energy Conference (PECI) at Illinois [Poster]
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Oct 2017 |
A Brain computer interface approach to examine changes in anxiety while walking in a virtually infinite world
Biomedical Engineering Society (BMES) Annual Meeting [Video]
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Apr 2015 |
Computing with words [Poster]
Engineering Open House, Indian Institute of Technology (IIT) - Delhi
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Show and Tell: A Neural Image Caption Generator
Class project for CS598 Deep learning, Fall 2018, UIUC
Taught by Prof. Justin Sirignano
PDF report |
Slides |
Code
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Deep Patient
Paper presentation for CS598 Health Data Analytics, Spring 2018, UIUC
Taught by Prof. Roy Campbell
Slides
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Pairwise Learning to Rank for MeTA
Class project for CS510 Advanced Information Retrieval, Fall 2017, UIUC
Taught by Prof. ChengXiang Zhai
PDF report |
Slides |
Video |
Code
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Distributed K means
Class project for IE529 Stats of Big Data, Fall 2017, UIUC
Taught by Prof. Carolyn L Beck
PDF report |
Slides |
Code
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Maxit game
Class project for IE498 Computing for ISE, Spring 2017, UIUC
Taught by Prof. Jugal Garg
Project description |
Code
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Academic Service and Leadership
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Program Committee:
Medical Imaging meets NeurIPS (MED-NeurIPS), NeurIPS [2021]
Machine Learning for Health (ML4H), NeurIPS [2020] [2021]
Fair ML for Health, NeurIPS [2019]
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