LTU ALERT:

For Thursday 02/06/25, the campus will be closed until 12 noon today due to the severe weather. All classes scheduled after 12 noon will take place as scheduled. Students should check Canvas for details on classes.

Faculty + Staff

George
Pappas
Assistant Professor and Director, MSAI graduate program

Pappas received his Bachelor of Science in Electrical Engineering, and master’s and doctorate in Systems Engineering from Oakland University. The primary topic of his research was estimation techniques in cellular wireless communications systems. During his research in power estimations in cellular communication networks, he extended his investigation in applications in health care environments. His focus is on systems that transmit and receive biopotential or nonelectric values over wireless cellular networks.

Pappas investigates different statistical methods for parameter estimation of linear and nonlinear model in dynamic mobile communications biomedical systems. Also, he investigates encryption and optimization algorithms of the transfer of electronic medical data using wireless cellular communication systems for evaluation, diagnosis, and treatment of patients in remote locations.


Research Interests

  • ADAS – Advanced Driver-Assistance Systems
  • Intelligent Systems
  • Quantum Computing
  • Convolutional Neural Network (CNN) Electroencephalography (EEG) signals classification
  • Virtual Reality in medical applications
  • Artificial Intelligence to aid diagnostics
  • Telemedicine
  • Medical and Health Informatics
  • Bioinformatics
  • Wireless implantable sensors
  • Biomedical Transducers
  • Networking, communications, and information infrastructures in medical environment
  • Medical Communication Protocols, HL7
  • DICOM grid
  • Handheld wireless diagnostic devices
  • Biomedical systems and devices
  • Medical and imaging informatics
  • Medical content-based image retrieval
  • Medical networking issues and implementation of basic protocols for healthcare environment
  • Programming concepts for medical applications
  • Abstraction techniques used to extract meaningful features from medical text and imaging data and visualize results

Courses Taught

Teaching Experience – Electrical and Computer Engineering and Master Program in AI

  • EEE 6913 Thesis Research
  • EEE 4243 Embedded Systems
  • EEE 4241 Embedded Systems Lab
  • EEE 4822 Capstone Projects ECE Projects II
  • EEE 4812 Capstone Projects ECE Projects I
  • EEE 3011 Intro to Capstone ECE Projects
  • EEE 5513 Software Application for AI
  • EEE 5523 Deep Learning for Engineers
  • EEE 3233 Microprocessors
  • EEE 3231 Microprocessors Lab
  • EEE 5924 Networking Computer Security
  • EEE 2214 Digital Electronics & Lab
  • EEE 5654 Digital Signal Processing

Teaching Experience – Biomedical Engineering

  • BME 1202 Computer Applications
  • BME 1201 Computer Graphics Lab
  • BME 1002 Introduction to Biomedical Engineering
  • BME 3002 Biomedical Best Practices

Teaching Experience – Civil and Architecture Engineering

  • EAE 5911 – Master Science Thesis Technical Project – Electrical Engineering concentration
  • EAE 5623 – Building Controls – Electrical Engineering concentration

Teaching Experience – Math and Computer science

  • MCS 3633 – Functional Programming

Academic experience

  • Lawrence Technological University, Assistant Professor and Director MSAI (2019-present)
  • Lawrence Technological University, Senior Lecturer (2017-2019)
  • Lawrence Technological University, Adjunct Professor (2016-2017)
  • Oakland University Teaching/Research Assistant Systems Engineering (2004- 2015)
  • Oakland University Research Coordinator Laser Image Processing (1997)
  • Meeting of the Minds presenter, University of Michigan (1999)

Certifications or professional registrations

  • IEEE Embedded Systems Workshop
  • Member SME/IEEE
  • IEEE – Institute of Electrical and Electronics Engineers Senior Member and student
    chapter mentor
  • IEEE – Southeastern Michigan Section Secretary
  • Theta Tau Professional Engineering LTU student chapter co-advisor
  • IEEE – HKN Honor society member and LTU student chapter co-advisor

Selected Grants (Most Recent)

  • Developing defect detection algorithms and prescriptive maintenance
    Framework for PCB manufacturing systems
    Dr. Giscard Kfoury (PI), Dr. George Pappas (CoPI)
    Sponsor: Eaton Corporation and Department of Defense
    Amount: $409,751.00
    Start Date: 10/2023 Phase1 and 1/2024 Phase2
  • Development of Autonomous Vehicle Safety Systems Using Multi-Sensor
    Fusion and Machine Learning Dr. Mostafa Rahbar (PI), Dr. George Pappas (CoPI), Dr. Nabih Jaber (CoPI)
    Sponsor: DENSO Corporation
    Amount: $192,791.00
    Start Date: 8/2024
  • Artificial Intelligence – Minimal Viable Product (MVP) Contextualizer
    Dr. Nabih Jaber (PI), Dr. George Pappas (CoPI)
    Sponsor: Stefanini Corporation
    Amount: $30,000.00
    Start Date: 8/2021
  • Remote Micro-valve and Bladder System Concept
    Dr. George Pappas (PI), Dr. Nabih Jaber (CoPI)
    Sponsor: Lear Corporation
    Amount: $40,000.00
    Start Date: 9/2022
  • Use of Generative Artificial Intelligence (AI) in the Design and Development
    of Automotive side console plastic part Dr. George Pappas (PI)
    Sponsor: Marelli Corporation
    Amount: $24,000.00
    Start Date: 5/2024
  • Wheel Me and LTU CoE Sweeping System
    Dr. George Pappas (PI), Dr. Mostafa Rahbar (CoPI), Dr. Nabih Jaber (CoPI)
    Sponsor: Wheel Me Corporation
    Amount: $30,000.00
    Start Date: 8/2023
  • GEKOT and LTU CoE Electric Scooter – Sidewalk detection
    Dr. George Pappas (PI), Dr. Nabih Jaber (CoPI)
    Sponsor: GEKOT Inc.
    Amount: $10,000.00
    Start Date: 1/2023
  • Exploring 5G Augment Reality and Virtual Reality solutions for
    Game controllers Dr. George Pappas (PI), Dr. Nabih Jaber (CoPI)
    Sponsor: StarAgilis LLC
    Amount: $20,000.00
    Start Date: 8/2020
  • Intelligent Smart Real Time Vision (ISRTV) as an Embedded System for
    Advanced Applications:” A Student Educational Platform on Vehicle Collision
    Avoidance and Driver Safety Dr. George Pappas (PI), Dr. Hamid Vejdani (CoPI), Dr. Ali Fallahi (CoPI)
    Sponsor: DENSO Corporation
    Amount: $40,000.00
    Start Date: 8/2019

Selected Publications

  • Roaa Hindi, George P. Pappas “Unleashing the Power of AI for Intraoperative Neuromonitoring During Carotid Endarterectomy “. Electronics Journal, 2024. https://doi.org/10.3390/electronics13224542
  • Matla Y, Yannamaneni RR, George P. Pappas “Globalizing Food Items Based on Ingredient Consumption”. Sustainability. 2024; 16(17):7524. https://doi.org/10.3390/su16177524
  • Balakumar Muniandi, Deepak Dasaratha Rao, Mohsin Jamil, Rajkumar Muniyandi,
    George P. Pappas “Graphical User Interface Based Heart Disease Analysis in
    Machine Learning Algorithms” OJRAT Journal, April 2024
  • Kevin Stinnette , George P. Pappas “A Dive into Vehicle Suspension” conference
    Paper presented at 2024 ASEE North Central Section Conference, Kalamazoo,
    Michigan. 10.18260/1-2—45590, March 2024
  • Kevin Stinnette, George P. Pappas “A Camparison of Active PID ad Passive
    suspension” Michigan Academy Conference March 2024
  • Mostafa Daneshgar Rahbar, George P. Pappas, Nabih Jaber “Toward Intraoperative
    Visual Intelligence: Real-Time Surgical Instrument Segmentation for Enhanced Surgical
    Monitoring” MDPI healthcare Journal, May 2024
  • Fabio Caversan, Lucas Rodrigues, Geanderson Ferreira, Danilo De Almeida, Carlos
    Veber, Gabriel Dias Rezende Martins, Nabih Jaber, George P. Pappas “Towards a
    Neuro-Symbolic Approach to Bridge the Gap Between Brain and Mind-Inspired
    Models” IEOM conference in Lisbon Portugal, July 2023
  • Paul Ilovan, George P. Pappas “Improve Prediction Accuracy and
    Classification of Bone Using Machine Learning with Hounsfield Unit” ICPR
    conference, 2022
  • Ian Smith, George P. Pappas “Search Space Restriction for UCSP in Genetic
    Algorithms via a Novel Random-key Decoder” IEOM conference, December
    2020
  • Kelsey Catania, Carrieann Towne, George P. Pappas, Michael McGrath
    “Using Transcranial Magnetic Stimulation to Detect Aluminum and Mercury
    Preservatives Accumulated in the Brain from Vaccines” IEOM conference, December
    2020.

    IEEE Publications abstracts

  • M. Giuliani, A. Allahdan, B. Anderson, A. Tammaro, George P. Pappas, N. Jaber, Contextualizer prototype a Minimal Viable Product, IEEE Southeastern Michigan Conference, March 2023.
  • M. Giuliani, T. Raihan, George P. Pappas, N. Jaber, Integrated Multipurpose Gamepad, IEEE Southeastern Michigan Conference, March 2023
  • A. Brooks, J. Atkins, M. Corcoran, George P. Pappas, N. Jaber, Reporting Drone System, IEEE Southeastern Michigan Conference, March 2023
  • N. Fraylick, George P. Pappas, N. Jaber, Comparison Between Classical and Quantum Computing Algorithms, IEEE Southeastern Michigan Conference, March 2023

» Document Viewer

Use Your Cell Phone as a Document Camera in Zoom

  • What you will need to have and do
  • Download the mobile Zoom app (either App Store or Google Play)
  • Have your phone plugged in
  • Set up video stand phone holder

From Computer

Log in and start your Zoom session with participants

From Phone

  • Start the Zoom session on your phone app (suggest setting your phone to “Do not disturb” since your phone screen will be seen in Zoom)
  • Type in the Meeting ID and Join
  • Do not use phone audio option to avoid feedback
  • Select “share content” and “screen” to share your cell phone’s screen in your Zoom session
  • Select “start broadcast” from Zoom app. The home screen of your cell phone is now being shared with your participants.

To use your cell phone as a makeshift document camera

  • Open (swipe to switch apps) and select the camera app on your phone
  • Start in photo mode and aim the camera at whatever materials you would like to share
  • This is where you will have to position what you want to share to get the best view – but you will see ‘how you are doing’ in the main Zoom session.