New Bimian: Jose Gonzalez-Belmonte

Research Area: Autonomous Vehicles, User Psychology

Career Focus: Academia – Interactive Software, Machine Learning, User Psychology

Current Employer: Lawrence Technological University

Position: Assistant Professor of Computer Science

Bio: Jose is a former software developer for Elm Park Labs, experienced in developing augmented and virtual reality applications using Unity and Unreal Engine.

He is an alumnus of Lawrence Tech’s Computer Science and Game Software Development program with a Master of Science degree in Computer Science and Intelligent Systems. He is the program coordinator and lead faculty of the Game Software Development concentration within the department of Math and Computer Science, as well as the lead advisor for LTU Expo.

Jose is pursuing a Doctorate in Computer and Electrical Engineering under the mentorship of Dr. Jaerock Kwon.

IBRO 2023

Attended the 11th IBRO World Congress of Neuroscience hosted by SENC at the Granada Exhibition and Conference Centre from 9-13 September 2023 with a poster titled “Artificial Neural Network Controller Using Sensory Motor Contingency For Highly Automated Mobility.”

Poster.pptx

A New GPU Workstation for Deep Learning

Finally, a new GPU workstation for deep learning arrived.

Specifications:

  • Operating system: Ubuntu 22.04: Includes Lambda Stack for managing TensorFlow, PyTorch, CUDA, cuDNN, etc.
  • Processor: AMD Ryzen Threadripper PRO 5975WX: 32 cores, 3.6~4.5GHz, 128 MB cache, PCIe 4.0
  • GPU: 2x NVIDIA RTX 6000 Ada Generation: 48GB memory, 18176 CUDA cores, 568 Tensor cores
  • System memory: 256 GB: DDR4-3200 UDIMM
  • OS drive: 1x 1.92 TB M.2 NVMe
  • Data drive: 1x 3.84 TB U.2 NVMe: Data center SSD, 1 DWPD, PCIe 4.0
  • Onboard networking: 2x 10 Gbps RJ45 Ethernet ports, 1x dedicated IPMI port

Pacifica with Dataspeed DBW

As the internal procurement processes are near to finalization, my Ph.D. student, Aws, and I paid a visit to Dataspeed. After productive discussions regarding the purchase (remember that the original quote is more than 1.5 years old), Dr. Micho showed a Pacifica equipped with the company’s Drive-by-Wire systems.

We are even more excited now after the cool demonstrations, which show several advanced new features. Thank you, Dataspeed, for your time and effort to host us.

Paper Accepted for IROS 2023

Our work on the adaptive neural ensemble controller has been accepted for The 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), which will be held October 1 – 5, 2023, at Huntington Place in Detroit, Michigan, USA. The paper title is “ANEC: Adaptive Neural Ensemble Controller for Mitigating Latency Problems in Vision-based Autonomous Driving.”

Poster Presentations at IEEE SEM Spring Conference 2023

Raksha Varahamurthy and Shefali Gokarn presented their posters at IEEE Southeastern Michigan Spring Conference.

Poster: Toward Human Body 3D Key Joint Position Estimation from 2D Images by Raksha Varahamurthy

Poster: Design and Implementation of Drive-By-Wire System for a Scaled Vehicle by Shefali Gokarn

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M-ROVER Prototype by Jesudara

My MS student, Jesudara, completed building a prototype of a Drive-By-Wire (DBW) system powered by Pixhawk4 and PX4 for a mesoscale electric vehicle for his Master’s Thesis. The DBW system design focuses on its reproducibility by minimizing the use of custom hardware and removing any significant modification of off-the-shelf parts.

The vehicle platform with the DBW system, named M-ROVER (Michigan, Robotic Open-source Vehicle platform for Education and Research), can be used in advanced autonomy research and education through a ROS-based open source framework, OSCAR (Open-Source robotic Car Architecture for Research and education) developed by BIMI (Bio-Inspired Machine Intelligence) Lab.