Nima Jadali

I'm an undergraduate research assistant at Georgia Tech where I mostly works on Robotics and Machine Learning problems.

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Research

Novelty Detection for Election Fraud: A Case Study with Agent-Based Simulation Data
Khurram Yamin*, Nima Jadali*, Yao Xie, Dima Nazzal

* co-first authors

AI Magazine, Volume 44, Issue 3, Fall 2023

In this paper, we propose a robust election simulation model and independently developed election anomaly detection algorithm that demonstrates the simulation's utility.

ForageFeeder: a low-cost open-source automated feeder
Nima Jadali*, Margaret J. Zhang*, Andrew K. Schulz*, Josh Meyerchick, David L. Hu

* co-first authors

HardwareX, Volume 14, E00405, JUNE 2023

We designed and built ForageFeeder, an automated gorilla feeder that spreads food at random intervals throughout the day. ForageFeeder is an open source and easy to manufacture and modify device, making the feeder more accessible for zoos. The design presented here reduces manual labor for zoo staff and may be a useful tool for studies of animal ethology.

Cool Gorilla Video
An Unsupervised Density Based Clustering Algorithm to Detect Election Anomalies: Evidence from Georgia’s Largest County
Khurram Yamin*, Matthew Oswald, Nima Jadali,Yao Xie, Ellen Zegura, Dima Nazzal
COMPASS '22, June 2022

We propose a multi-step clustering based approach to detect election anomalies that might be indicitive of fraud. We first solve a regression problem to find a group of influential variables, then cluster on these variables to get a set of precincts that should have similar election results. Re-clustering each cluster shows us the outliers.

A Foundational Design Experience in Conservation Technology: A Multi-Disciplinary Approach to meeting Sustainable Development Goals
Andrew K. Schulz, Anika Patka, Cassandra Shriver, Benjamin Seleb, Margaret Zhang,, Nima Jadali, Caroline Greiner, David L. Hu, Roxanne Moore
ASEE, JUNE 2022

This paper, discusses the course structure that will help leverage Sustainable Development Goals into engineering curricula and use Conservation Technology projects in the course as case studies for interdisciplinary learning.

Miscellanea

AAAI 2023: AI for Credible Elections Workshop Paper
SICB 2023 Oral Presentation

2021: Poster Presentation