Faculty research from the Electrical & Computer Engineering department.

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Submissions from 2022

Advances in systems engineering : proceedings of the 28th International Conference on Systems Engineering, Leszek Borzemski, Henry Selvaraj, and Jerzy Świątek

Adaptive Projectile Fin Control Using Piezoelectric Beam Actuator by G-Passification, Keum W. Lee and Sahjendra N. Singh

CNN-Based Hidden-Layer Topological Structure Design and Optimization Methods for Image Classification, Jian Liu, Haijian Shao, Yingtao Jiang, and Xing Deng

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Artificial Intelligence in the Radiomic Analysis of Glioblastomas: A Review, Taxonomy, and Perspective, Ming Zhu, Sijia Li, Yu Kuang, Virginia B. Hill, Amy B. Heimberger, Lijie Zhai, and Shenjie Zhai

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Artificial Intelligence in the Radiomic Analysis of Glioblastomas: A Review, Taxonomy, and Perspective, Ming Zhu, Sijia Li, Yu Kuang, Virigina B. Hill, Amy B. Heimberger, Lijie Zhai, and Shenjie Zhai

Submissions from 2021

Current Comparator with SiGe BiCMOS Input Stage for Photon-Counting LiDAR Applications, Gonzalo Arteaga, Sachin P. Namboodiri, Angsuman Roy, and R. Jacob Baker

MissFormer: (In-)Attention-Based Handling of Missing Observations for Trajectory Filtering and Prediction, Stefan Becker, Ronny Hug, Wolfgang Huebner, Michael Arens, and Brendan Morris

Handling Missing Observations with an RNN-based Prediction-Update Cycle, Stefan Becker, Ronny Hug, Wolfgang Huebner, Michael Arens, and Brendan T. Morris

Synthesis of Index Generation Function Using Linear and Functional Decomposition, Grzegorz Borowik, Tadeusz Łuba, Dariusz Wąsicki, and Grzegorz Chmaj

An Automatic Overall Survival Time Prediction System for Glioma Brain Tumor Patients based on Volumetric and Shape Features, Lina Chato, Pushkin Kachroo, and Shahram Latifi

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Machine Learning and Radiomic Features to Predict Overall Survival Time for Glioblastoma Patients, Lina Chato and Shahram Latifi

Automated Agronomy: Evaluation of Fruits Ripeness Using Machine Learning Approach, Grzegorz Chmaj, Saugat Sharma, and Henry Selvaraj

A Deep Learning Framework for Prediction of the Mechanism of Action”,, Jingyuan Dai and Shahram Latifi

A Digital Design and Computer Architecture MOOC, David Harris, Joshua Brake, and Sarah L. Harris

On Pareto-Frontier Approximate Computing for Many-Core Systems, Xinyue Hou, Xiaohang Wang, Maurizio Palesi, Amit Kumar Singh, Yingtao Jiang, Mei Yang, Letian Huang, and Junying Chen

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Generalized Composite Noncertainty-Equivalence Adaptive Control of a Prototypical Wing Section With Torsional Nonlinearity, Keum W. Lee and Sahjendra N. Singh

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Hamiltonian-Based Libration Point Orbit Control on Manifold of Constant Energy, Keum W. Lee and Sahjendra N. Singh

Passivity-based Adaptive Control of Aeroelastic System with Unsteady Aerodynamics and Wind Gust, Keum W. Lee and Sahjendra N. Singh

Adaptive Control of an Aeroelastic System with Unsteady Aerodynamics and Gust Load, Keum W. Lee and Sahjendra N. Singh

Using Machine Learning Techniques to Estimate the Remaining Useful Life of a System with Different Types of Datasets, Carlos Lemus and Shahram Latifi

A Health Detection Model Based on Facial Data, Sunil Manzoor and Shahram Latifi

Assessment of Groundwater Quality and Quantity Using Supervised Machine Learning, Ashika Mettu and Shahram Latifi

ITS Society Conferences, Brendan Morris

ITS Society Conferences [Conference Reports], Brendan Morris

ITS Society Conferences [Conference Reports], Brendan Morris