Advising

Ph.D. and D.Eng Advisor

  • Aws Khalil (2021-), Ph.D. student in Electrical and Computer Engineering
  • Feeza Khan Khanzada (2023-), Ph.D. student in Electrical and Computer Engineering
  • Elaheh Delavari (2023-), Ph.D. student in Electrical and Computer Engineering
  • Jose Gonzalez (2023-), DEng. student in Electrical and Computer Engineering

Ph.D. and D.Eng Dissertation Committee Member

  • Subhadip Ghosh, D.Eng, 2022 – 2024
  • Sreekanthreddy Chalapala, D.Eng, 2024 –
  • Mansi Girdhar, 2022 –
  • El Shair Zaid, Advancing Neuromorphic Event-Based Vision Methods for Robotic Perception Tasks, 2024
  • Calvin Cheung, Communication-Free Behavior-Based Control of Autonomous Vehicle Convoys, 2021 – 2023
  • Gyouho (Peter) Cho, Artificial Neural Network Methods For Lithium-Ion Battery Behavior Prediction, 2020 – 2022
  • Sumanth Chennupati, Auxiliary Tasks Enhanced Semantic Segmentation for Automated Driving, 2020 – 2021
  • Yazan Hamzeh, Influence of Rain on Vision-Based Algorithms in the Automotive Domain, 2020 – 2021

Master Thesis Advisor

University of Michigan-Dearborn (2020 – )

  • Jesudara Omidokun (2021 – 2022) M.S. student in Electrical and Computer Engineering

Kettering University (- 2019)

  • Ninad Doshi (2018 – 2019): An Approach to Integrate LSTM with CNN and Comparative Analysis of Different Behavioral Cloning Approaches for Autonomous Vehicles
  • Nikhil Prabhu (2018 – 2019): Traffic Sign Detection in Gazebo Simulation Environment Using YOLOv3
  • Ahmed Abdelhamed (2017 – 2020): Software-In-the-Loop Sensor Fusion Model Using LIDAR and Camera for Detecting and Classifying Obstacles
  • Mohamed Fasil Syed Ahamed (2016 – 2019): Design and Evaluation of Software-In-the-Loop Modeling and Simulation Framework for Autonomous Vehicles
  • Shruthi Raghavan (2014 – 2016): Acquisition and Analysis of Mouse Brain Vasculature
  • Akanksha Ashwini (2015 – 2020): IEROM Image Processing Pipeline and 3D Real-Time Interactive Visualization Methods for Teravoxel Volumes
  • Li Dang (2015 – 2017): A Study of Autonomous Driving with ROS
  • Nishanth Sriramoju (2015 – 2016):
  • Amaradi Venkata Naga Sai Phanindra (2015 – 2016):
  • Seokju Lee (2013 – 2015):
  • Joingil Lim (2013 – 2015): Design and Implementation of a Network Robotics Framework Using a Smartphone Based Robotics Platform

Master Project Supervised

  • Dania Waqar (2021 – 2022) M.S. student in Robotics Engineering: 3D Human Pose Estimation
  • Meher Adheeth Hundi (supervised by Junho Hong): Classification of power system fault type using Deep Neural Network, 2020

Master Thesis Committee

University of Michigan-Dearborn (2020 – )

  • Keval Thaker, Multispectral Deep Neural Network for Low Light Object Detection, 2021
  • Brandon Pieniozek, A Multifunctional SiC DC-DC Converter Topology with Normalized Fault Detection Strategy for Electric Vehicle Applications, 2020
  • Ramya Karnati, Cyber security of process bus network in substations, 2020

Senior Design Project

  • AMRCR/TourBot (2023, 2024)
  • CubeCatch (2023, 2024)
  • Satellite Guided Autonomous Vehicle (2022)
  • Photobot (2022)
  • A.I.M – Sr. Design 2 (2021)
  • Team 20 (Hadi, Mohamed, Mahdi, Rhythm) – Smokey Bears (2021)
  • Team 5 (Matthew Butkowski et al.) – Painting robot (2021)
  • BlueDoor team (2021)
  • Augmented wRiting Glasses by team ARG (2020)
  • Steering Controller System for EV Go-Kart by team 2J-FK (2020)

Undergraduate Thesis

Kettering Univerisity ( – 2019)

  • Victor Ciroski, Machine Learning, Convolutional Neural Network (2018)
  • Caspian Peavyhouse, Ignition Based Machine Access Control System (2018)
  • Jaren Golenbiewski, Indoor Navigation System (2017)
  • Alan Purdy, Remote Engineering Appliance for Control-Systems Troubleshooting (2017)
  • Cole Heathcock, Development of a PC based user interface to enable transmission and manipulation of CAN based signals. (2017)
  • Eric Golab, A Study of Neural Networks for Lane Detection. (2017)
  • Ari Budiono, Ford Performance Car Identifier Mobile Application Prototype. (2017)
  • Dalton Nofs, Protocol Conversion adapter: AVCLAN to A2B, (2017)
  • Jessica Suer, A Comparison of Computer Generated Imagery Software Packages for Digital Tolerance Analysis Applications. (2017)
  • Joseph May, Implementation of Passive Infrared and Capacitive Touch to Vending Equipment Using Lin Communication. (2014)
  • Dalton Matznick, Cost Savings Analysis of Electrical Ladder Drawing Software and Process Changes (2013)
  • Will Johnson, WIFI Communication Daughter Card Software (2014)
  • Cody Lopez, Business Plan for the Infotainment Systems in Vehicles
  • Patrick Brown, Web technologies in embedded environments allowing for rapid prototyping of rich user interfaces and platform independence. (2013)
  • Ove Peronard, Analysis of Current C Code against MISRA and HIS metrics and Comparison with Gen7.2 and Previous Generation for Report Creation
  • Andrew Meagher, Eliminating the Waste of Waiting (2014)
  • David Green, Open and Closed Loop Testing Interface Using Labcar Mini for the Gasoline and Diesel FlexECU, 2013
  • Matthew Clark, Creating an Elderly Monitoring Device Using Arduino and Android, 2014
  • Alanna Gippin: Computed Tomography Image Reconstruction Micro Efficiency Analysis and Integration, 2013
  • Eric Barch: Hardware Design and Implementation of a Bluetooth Low Energy Module, 2013
  • Kevin Smith: TI10 Switchable ES Audio Solution. 2013
  • William Lindeman: Interpreting Workout Gestures with Neural Networks, 2013
  • Taimen Taylor: Automation of EnTech’s Report Generation Process, 2012
  • Anthony Marchioni: Learning Machine, 2012
  • Eric Chu: BlackBerry Application for Monitoring Battery Testing for the Global Battery Systems Lab, 2011

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