Dr. Valles’s co-authored paper titled “Cross-cultural engineering skill development at an international engineering summer boot camp” has been accepted to the American Society for Engineering Education (ASEE) annual conference. To be presented in Montreal, Quebec in June 2020.
Dr. Valles’s collaborative paper titled “A Digital Twin Framework of a Material Handling Operator in Industry 4.0 Environments” was accepted to The Eighth International Conference on Information, Logistics and Supply Chain (ILS-2020). To be presented in Austin, TX in April 2020.
Geovanni‘s paper titled “Machine Learning Techniques for Motion Analysis of Fatigue from Manual Material Handling Operations Using 3D Motion Capture Data” was accepted to the 2020 IEEE-CCWC. To be presented at UNLV, Las Vegas on Jan. 2020.
Sazidas‘s paper titled “Identification of Wild Species in Texas from Camera-trap Images Using Deep Neural Network for Conservation Monitoring” was accepted to the 2020 IEEE-CCWC. To be presented at UNLV, Las Vegas on Jan. 2020.
Shafinaz‘s paper titled “Houston Toad and Other Chorusing Amphibian Species Call Detection Using Deep Learning Architectures” was accepted to the 2020 IEEE-CCWC. To be presented at UNLV, Las Vegas on Jan. 2020.
Farah‘s paper titled “A Victims Detection Approach for Burning Building Sites Using Convolutional Neural Networks” was accepted to the 2020 IEEE-CCWC. To be presented at UNLV, Las Vegas on Jan. 2020.
David‘s paper titled “A Non-Linear GPU Performance Modeling Approach and Consolidated Linear Hardware Model Performance Evaluation of the LEAP Cluster” was accepted to the 2020 IEEE-CCWC. To be presented at UNLV, Las Vegas on Jan. 2020.
Purvesh‘s paper titled “Deep Convolutional Neural Network Design Approach for 3D Object Detection for Robotic Grasping” was accepted to the 2020 IEEE-CCWC. To be presented at UNLV, Las Vegas on Jan. 2020.
Inzamam‘s paper titled “Facial Expression Recognition Using DCNN and Development of an iOS App for Children with ASD to Enhance Communication Abilities” was accepted to the 2019 IEEE-UEMCON. To be presented at Columbia University, NYC on Oct. 2019.
Dr. Valles’s co-authored journal article titled “Dynamic Voltage Optimization Based on In-Band Sensors and Machine Learning” has been accepted to the MDPI Applied Sciences Special Issues: State-of-the-Art of Smart Metering in Electricity Grids.
