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Research Foci 





Transportation System




Human Autonomy Teaming

Engineering Education

Machine Learning

Neuro-Innovation Interaction Lab was founded in Fall 2019 in Kennesaw State University.  Being the director of this research lab, we champion diversity as an integral part of our research team. The goal of this lab is to work on multidisciplinary research projects with diverse group of students. We have several undergraduate, graduate and post-doctoral researchers working in this laboratory. This lab highly encourages collaboration with other labs in Kennesaw State University (KSU) as well as outside KSU. Every researcher in this lab is given the independence to work on an area that interests them and share their idea, thoughts and strategies with the team.


Our lab's motto is "Never stop Neuro-vating." A play on the word innovating and the prefix neuro-, we challenge ourselves to neurovate new ways of thinking in the biomedical engineering field.

Research Team

PhD Research Assistants

MicrosoftTeams-image (2)_edited.png
Mohammad Naser
PhD Candidate of Interdisciplinary Engineering
Namazbai Ishmakhametov
PhD Candidate of Data Science and Analytics

Graduate and Undergraduate Research Assistants

Charles McClary

Jorge Cervantes

Sarah Fernandes

Selam Kelil

Master's of Electrical Engineering

Bachelor's of Mechatronic Engineering

Bachelor's of Electrical Engineering

Bachelor's of Computer Science

Project Highlights

Project 1: This project involves understanding driver and passenger behavior in specific environmental conditions to design suitable human autonomy system


Project 2: This project focuses on building artificial intelligence system to understand natural intelligence in human


Project 3: This project involves development of a real time COVID 19 tracker and predictive modeling based on global data

Book Chapter:

1) Wireless Body Area Network for Healthcare Application, IGI Global, 2016

Journals :


  • Effect of Conversational Task during Driving: Towards Increased Mental Load And Virtual Lateral Vehicular Variation, IAJC, 2018 

  • EEG-based prediction of driving events from passenger cognitive state using Morlet Wavelet and Evoked Responses, Elsevier, Transportation engineering journal , 2022     

  • This Wasn’t Pedagogy, It Was Panicgogy”: Perspectives of the Challenges Faced by Students and Instructors during the Emergency Transition to Remote Learning Due to COVID-19, 2021 

  • Modeling of Passenger Postures for Predicting Driving Events Using a Support Vector Machine, IAJC, 2023                                                                                                                                                                                 

Conference Papers:

  1. Identifying Least Affected Parameters in Analyzing Electrical Impedance Myograph with Alteration Subcutaneous Fat Thickness via Finite Element Model, Proceedings of the IEEE South East Conference, 2015 - Fort Lauderdale, Florida

  2. Comparative Study of Remote Surgery Techniques, IEEE GHTC GLOBAL CONFERENCE 2015 3) A Multiuser EEG based Imaginary Motion Classification Using Neural Network, IEEE South East Conference, 2016

  3. Optimization of EEG based Classification motion using Majority Vote, IEEE South East Con,2017

  4. Virtual Lateral Vehicle Variation Study, South East Conference, IEEE, 2018

  5. Assessing Driver Performance of lane-merge and highway merging tasks using Video Capture Method, South East Conference, IEEE 2018

  6. Lane Change detection using Eye Gaze Algorithm, IEEE VTC Chicago, 2018

  7. Using Deep Learning to Identify Multi-lingual Music Genre, IEEE South East Conf. 2020

  8. A Comparative Analysis of Cognitive behavioral Variation of Group versus Individual Study in lab to Improve Teaching methods, IEEE South East Conf. 2020

  9. Correlation Studies on the Cognitive Responses of Distracted Drivers during Conversational Tasks, IEEE South East Conf. 2020

  10. A Review Study on the Use of Oculometry in the Assessment of Driver Cognitive States, IEEE South east Conference, 2021

Book Chapter:

  • Body Area Network for Healthcare Applications, IGI Global, 2016

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