Ayah Ahmad

Ayah Ahmad

آية أحمد

Hi, I'm Ayah! I'm a Robotics PhD student at Georgia Tech, advised by Professor Maegan Tucker in the Dynamic Mobility Lab. My research interests broadly lie in the realm of biomechanics and exoskeleton control.

I received a B.S. in Electrical Engineering and Computer Science from UC Berkeley in 2023. There, I worked on robotics, predominantly focused on grasping, under Professor Ken Goldberg. Previously, I worked with Professors Christopher Graziul and Margaret Beale Spencer at the University of Chicago, on computational social science and speech emotion recognition.

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Research

Lifelong LERF: Local 3D Semantic Inventory Monitoring Using FogROS2
Adam Rashid*, Chung Min Kim*, Justin Kerr*, Letian Fu, Kush Hari, Ayah Ahmad, Kaiyuan Chen, Huang Huang, Marcus Gualtieri, Michael Wang , Christian Juette, Nan Tian, Liu Ren, Ken Goldberg
IEEE International Conference on Robotics and Automation (ICRA), 2024
paper / website

The Busboy Problem: Efficient Tableware Decluttering Using Consolidation and Multi-Object Grasps
Kishore Srinivas, Shreya Ganti, Rishi Parikh, Ayah Ahmad, Wisdom Agboh, Mehmet Dogar, Ken Goldberg
IEEE Conference on Automation Science and Engineering (CASE), 2023
paper / website

The "Busboy Problem" addresses the problem of efficiently clearing tableware from a flat surface by using multi-object grasping.

Bagging by Learning to Singulate Layers Using Interactive Perception
Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
paper / website

SLIP-Bagging addresses the problem of autonomous bagging by using Interactive Perception to grasp single layers of bags.

Datastore Design for Analysis of Police Broadcast Audio at Scale
Ayah Ahmad, Christopher Graziul, Margaret Beale Spencer
ACM International Conference for High-Performance Computing, Networking, Storage, and Analysis (Supercomputing), 2021   (SC21 ACM SRC Undergraduate 1st Place Award, ACM SRC Grand Finals Candidate)
poster / abstract

This paper describes preliminary work towards enabling Speech Emotion Recognition (SER) in an analysis of the Chicago Police Department’s (CPD) BPC by demonstrating the pipelined creation of a datastore to enable a multimodal analysis of composed raw audio files.

Teaching

Recipient of the 2023 Outstanding Graduate Student Instructor Award

EECS 127: Optimization Models in Engineering
[FA23] Tutor
EECS 16A: Designing Information Devices and Systems I
[SP23] Head Homework & Discussion uGSI,
[FA22] Admin & Discussion uGSI,
[SP22] Tutor
[FA21] Tutor
CS 61A: Structure and Interpretation of Computer Programs
[SP21] CSM Junior Mentor
[SP21] Academic Intern
Notes

CS 189: Introduction to Machine Learning

CS 188: Introduction to Artificial Intelligence

EE 120: Signals and Systems

EECS 151: Introduction to Digital Design and Integrated Circuits

EECS 127: Optimization Models in Engineering

EECS 126: Probability and Random Processes

EECS 16B: Designing Information Devices and Systems II

EECS 16A: Designing Information Devices and Systems I

MATH H53: Honors Multivariable Calculus


Website source code from Jon Barron.