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