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Nadira Mahamane

Hi, I'm a 2nd year PhD student in Robotics at Georgia Tech 🐝. I previously graduated with a bachelor in Engineering Physics and minors in Computer Science and Mathematics from the University of Central Arkansas (UCA) 🐻.

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Research Interests

My area of interest has always been related to intelligent systems. Particularly how they can be integrated in smart homes and heathcare to improve people’s daily lives in their environment. I am currently a student researcher in the RAIL lab under Dr. Sonia Chernova where I investigate smart medication systems for older adults with Mild cognitive Impairment living in smart homes. our main goal for this research is for intelligent systems (Robots and conversatonal agents) to be able to determine the right/opportune timing to initiate conversation or tell the older adult to take their medication.

Hobbies

My hobbies are part of me and keep me grounded, active, and motivated. I am an outdoor person therefore love to hike, run to connect with mother nature. I used to play Basket ball and still pratice when I get time or connects with basketball enthousiasts. My nomadic self always enjoy a great vacation where I get to discover new culture, discover the rich cuisine and understand human kind. I recently discovered Zouk Dance and Rock Climbing thanks to my fellow labmates and I have enjoyed steaming the stress and fatigue of grad school through those activities.

Organizations

I am currently a member of the Robotics Graduate Student Organization (RoboGrads) and the African Graduate Students Connect (AGSC) at Georgia Tech Previously I have been Treasurer of the Robotics Club at UCA, Vice President of the Girls Who Code Loop at UCA, President of the Society of Physics Students at UCA, and President of the National Society of Collegiate Students at UCA

Current Projects

Smart Medication Reminder for older Adults with MCI

We propose a system that integrates a robotic conversational assistant with smart home technologies to deliver timely medication reminders based on the user's location within the home. The main findings highlight the development of a room occupancy model using data from smart homes to predict user presence and optimize reminder timing.

Human Robot Interation

Evaluation of User Acceptance of an Active Perception Robots in Smart Home Systems

This project investigates the potential of an active perceptive mobile robot to enhance Human activity recognition in smart homes by addressing the limitations related to the ambiguity of motion sensor data reading.


Human Robot InterationNavigationObject Detection

Technical Skills

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Programming Languages

PythonJavaC++
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ML/MD Framework

PyTorchKeras
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Robotics

ROSRVIZGazebo
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Data Analysis

PandasScikit-learnOpenCVNumPyMatplotlib
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Microcontrollers

Raspberry PiArduino

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