Mar-21-2023: Isaiah Oyewole received the 2023 Difference Maker Award at UM-Dearborn.
Feb-28-2023: The paper "Orthogonal Autoencoders for Long-Term State-of-Charge Forecasting of Li-Ion Battery Cells” by Wael Hassanieh, Mayuresh Savargaonkar, and Abdallah Chehade was accepted at the 2023 IEEE Transportation Electrification Conference & Expo (ITEC).
Dec-29-2022: The paper "The Effect of Vehicle Automation Styles on Drivers’ Emotional State” by Areen Alsaid, John D. Lee, Sofia I. Noejovich, and Abdallah Chehade was accepted at the IEEE Transactions on Intelligent Transportation Systems.
Nov-10-2022: The paper "Uncorrelated Sparse Autoencoder With Long Short-Term Memory for State-of-Charge Estimations in Lithium-Ion Battery Cells” by Mayuresh Savargaonkar, Isaiah Oyewole, Abdallah Chehade, and Ala A. Hussein was accepted at the IEEE Transactions on Automation Science & Engineering.
Oct-18-2022: Dr. Chehade chaired the technical session "Artificial Intelligence & Machine Learning for Enhanced Safety & Quality of Smart & Connected Vehicles" at the 2022 INFORMS Annual Meeting.
Oct-15-2022: Dr. Abdallah Chehade, Dr. Xiao Liu, and Dr. Wenmeng Tian organized the 2nd Workshop on Quality, Statistics, and Reliability at the 2022 INFORMS Annual Meeting.
Aug-09-2022: Isaiah Oyewole, Meriam Chelbi, Abdallah Chehade, and Ala A. Hussein received the Best Paper Award at the IEEE Transporation Electrification Conference (ITEC) for the paper titled A Polynomial Regression Model with Bayesian Inference for State-of-Health Prediction of Li-ion Batteries.
Aug-08-2022: Mayuresh Savargaonkar received the 2022 Difference Maker Award at UM-Dearborn (the only graduate student).
July-15-2022: The paper "VTrackIt: A Synthetic Self-Driving Dataset with Infrastructure and Pooled Vehicle Information” by Mayuresh Savargaonkar and Abdallah Chehade was submitted to arXiv with id arXiv:2207.11146.
Mar-23-2022: The paper "A Novel Neural Network With Gaussian Process Feedback for Modeling the State-of-Charge of Battery Cells” by Mayuresh Savargaonkar, Abdallah Chehade, and Ala A. Hussein was accepted at the IEEE Transactions on Industry Applications.
Mar-01-2022: The paper "A Polynomial Regression Model with Bayesian Inference for State-of-Health Prediction of Li-ion Batteries” by Isaiah Oyewole, Meriam Chelbi, Abdallah Chehade, and Ala A. Hussein was accepted at the 2022 IEEE Transportation Electrification Conference & Expo (ITEC).
Feb-08-2022: The paper "A controllable deep transfer learning network with multiple domain adaptation for battery state-of-charge estimation” by Isaiah Oyewole, Abdallah Chehade, and Youngki Kim was accepted at the Journal of Applied Energy.
Jan-01-2022: Dr. Abdallah Chehade received a research funding grant from Honda R & D Americas to develop Artificial Intelligence & Machine Learning for Heat & Temperature Sensor Modeling.
Oct-27-2021: The paper "Conditional Gaussian Mixture Model for Warranty Claims Forecasting” by Abdallah Chehade, Mayuresh Savargaonkar, and Vasiliy Krivtsov was accepted at the Journal of Reliability Engineering & System Safety.
Oct-23-2021: Dr. Abdallah Chehade, Dr. Kaibo Liu, and Dr. Ran Jin organized the 1st Workshop on Quality, Statistics, and Reliability at the 2021 INFORMS Annual Meeting.
Jul-30-2021: The paper "Dynamic Adherent Raindrop Simulator for Automotive Vision Systems” by Yazan Hamzeh, Zaid El-Shair, Abdallah Chehade, and Samir Rawashdeh was accepted at IEEE Access.
Jun-24-2021: The paper "A Multi-Output Convolved Gaussian Process for Capacity Forecasting of Li-ion Battery Cells” by Abdallah Chehade and Ala Hussein was accepted at IEEE Transactions on Power Electronics.
May-01-2021: Mayuresh Savargaonkar accepted a research intern position at Ford Motor Company to develop Software-In-The-Loop and Hardware-In-The-Loop safety and risk assessment models.
Mar-24-2021: Dr. Abdallah Chehade received a research funding grant from Ford Motor Company to Generate Risky Driving Scenarios to Achieve the SOTIF of Automated Driving Technologies.
Mar-02-2021: The paper "A hybrid long short-term memory network for state-of-charge estimation of Li-ion batteries” by Isaiah Oyewole, Mayuresh Savargaonkar, Abdallah Chehade, and Youngki Kim was accepted at the 2021 IEEE Transportation Electrification Conference & Expo.
Mar-02-2021: The paper "Sparse Auto-Encoded LSTM for Long-Term State-of-Charge Estimations of Battery Cells” by Mayuresh Savargaonkar, Isaiah Oyewole, and Abdallah Chehade was accepted at the 2021 IEEE Transportation Electrification Conference & Expo.
Oct-01-2020: The paper "Structural Degradation Modeling Framework for Sparse Datasets with an application on Alzheimer’s Disease” by Abdallah Chehade and Kaibo Liu received the Best New Application Paper Award (first runner-up) in IEEE Transactions on Automation Science and Engineering, 2020.
Sep-30-2020: The paper "Building Robustness in Vision Systems Using Effective Post-Processing" by Mayuresh Savargaonkar and Abdallah Chehade was selected as a finalist in the QCRE Best Student Paper Competition at the 2020 IISE Annual Conference.
Sep-30-2020: The paper "A Dual-LSTM Framework Combining Change Point Detection and Remaining Useful Life Prediction" by Zunya Shi and Abdallah Chehade was accepted at the the Journal of Reliability Engineering & System Safety.
Jun-23-2020: Dr. Abdallah Chehade received a research funding grant from Honda R & D Americas to develop Digital Twins for critical automotive processes.
Jun-22-2020: The paper "A Power–Law Nonhomogeneous Poisson Process with a Mixture of Latent Common Shape Parameters" by Abdallah Chehade, Zunya Shi, and Vasiliy Krivtsov was accepted at the Journal of Reliability Engineering & System Safety.
May-17-2020: The paper "A Collaborative Gaussian Process Regression Model for Transfer Learning of Capacity Trends between Li-ion Battery Cells" by Abdallah A. Chehade and Ala A. Hussein was accepted at the IEEE Transactions on Vehicular Technology.
May-11-2020: The paper "Robust Artificial Neural Network-Based Models for Accurate Surface Temperature Estimation of Batteries" by Ala A. Hussein and Abdallah Chehade was accepted at the IEEE Transactions on Industry Applications.
May-01-2020: The paper "A Novel Neural Network with Gaussian Process Feedback (NNGP) for Modeling the State-of-Charge of Battery Cells" by Abdallah Chehade and Ala A Hussein was accepted at the 2020 IEEE Energy Conversion Congress and Exposition.
Apr-06-2020: Mayuresh Savargaonkar developed a dashboard to track COVID-19 trends at the Country and US County levels. COVID-19 Tracker
Apr-02-2020: Dr. Abdallah Chehade received a research funding grant from Ford Motor Company to Generate Synthetic Data for Training and Validation of SOTIF and AI-based Systems.
Mar-25-2020: The paper "Accelerating the Discovery of New DP-Steel Using Machine Learning-based Multiscale Materials Simulations" by Abdallah Chehade, Tarek Belgasam, Georges Ayoub, and Hussein Zbib was accepted at Metallurgical and Materials Transactions A.
Feb-28-2020: The paper "An Adaptive Deep Neural Network with Transfer Learning for State-of-Charge Estimations of Battery Cells" by Mayuresh Savargaonkar and Abdallah Chehade was accepted at the 2020 IEEE Transportation Electrification Conference & Expo.
Feb-28-2020: The paper "A Cycle-based Recurrent Neural Network for State-of-Charge Estimation of Li-ion Battery Cells" by Mayuresh Savargaonkar, Abdallah A. Chehade, Zunya Shi, and Ala A. Hussein was accepted at the 2020 IEEE Transportation Electrification Conference & Expo.
Feb-28-2020: The paper "A Long Short-Term Memory Network for Online State-of-Charge Estimation of Li-ion Battery Cells" by Zunya Shi, Mayuresh Savargaonkar, Abdallah A. Chehade, and Ala A. Hussein was accepted at the 2020 IEEE Transportation Electrification Conference & Expo.
Feb-19-2020: The paper "BLNN: An R Package for Training Neural Networks Using Bayesian Inference" by Taysseer Sharaf, Theren Williams, Abdallah Chehade, and Keshav Pokhrel was accepted at SoftwareX.
Feb-14-2020: The paper "Data-driven Adaptive Thresholding Model for Real-time Valve Delay Estimation in Digital Pump/Motors" by Abdallah Chehade, Farid Breidi, Keith Pate and John Lumkes was accepted at the International Journal of Fluid Power.
Feb-01-2020: Dr. Abdallah Chehade received a research funding grant from Ford Motor Company to Develop Hybrid Models for Warranty Data Forecasting based on Machine Learning & Reliability Theories.
Feb-01-2020: Dr. Abdallah Chehade & Dr. Youngki Kim received a research funding grant from Ford Motor Company to Develop Automated Machine Learning (AutoML) Models for Health Monitoring and Prognostics of Vehicle Components.