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

• CyberHand (2024)
  • Alex Michalak, Antonio Alvarez, Tostado Aerdker, Areeba Shahid, Kttab Moosa.
• AMRCR/TourBot (2023, 2024)
  • Chehab Ismail, Ali Shaheri, Takotah Chavis, Mohamed El-Mokhdad
• CubeCatch (2023, 2024)
  • Humberto Ruiz-Ochoa, Steve King, Adam Bitar, Evelyne Radita
• The Big 4 – Satellite Guided Autonomous Vehicle (2022)
  • Muhammed Zghayer, Rustam Aslam, Hassan Darwiche, Asil Kamal
• Team Aperture – Photobot (2021, 2022)
  • Tyler Ison, Atharva Surti, Stefan Didoszak, Melanie Thomopoulos, Abdullah Al-Badi
• Team 20 – Smokey Bears (2021)
  • Hadi Hourani, Mohamed Saadi, Rhythm Sharma, Mahdi El-Sayed
• Team 5 (Matthew Butkowski et al.) – Painting robot (2021)
  • Matthew Butkowski, Ian Mack, Jordan Morton, and Aya Saab.
• BlueDoor team (2021)
  • Jethro Reimann, Brooke MacLean, Anwer Alawdi, Osayd Salam
• Augmented wRiting Glasses by team ARG (2020)
  • Sarah Makki, Christopher Prus, Miguel Nuno, Timothy Tapper.
• Steering Controller System for EV Go-Kart by team 2J-FK (2020)
  • Fililp Buda, Khallad Jobah, Jean Louis Masongsong, Joshua Vanden Berg.

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