Data Science Lab: EE460J - (co-taught with Prof. Alex Dimakis)

1. •Amogh Agnihotri, Reese Costis, Prajakta Joshi, Rebecca Phung, Suhas Raja, and Ramya Rajasekaran: Beatris: an Evil Tetris AI
   

2. •Zachary Arredondo, Kumaran Arulmani, Rahul Butani, Rishab Chander, Nathan Chin, Wenran Lu: Using Generative Adversarial Networks to Create Dog Images
   

3. •Aman Hemani, Vinay Shah, Tony Li, Mohaimin Sadiq, Geof Tian, Shashwat Pandey: SnakeAI
   

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Previous Data Science Lab: EE379K / EE460J -- (co-taught with Prof. Alex Dimakis)

1. •Kevin Sheu, Kevin Lee. Luis Quintanilla, Zijian Wang (Steven), Anirban Sarkar, Nikhil Kanzarkar: Reinforcement Learning for Taxi-v2
   

1. •Kayvon Khosrowpour, Allison Crow, Jared Cormier, Brandon Shang, Phyllis Ang, Steven Zhu: AudioChronology - Sound Decade Prediction
   

1. •Rohan Balaji, Elvin Hung, Ryan McCray, Ali Soomar, Sandeep Guggari, Nathan Cleaver: Generative Adversarial Networks for Car Image Generation
   

1. •Charlie Yeng, Simon Xie, Numan Gilani, Dylan Bray, Hassan Chughtai, Guilherme Zamorano: Predicting Popularity of Instagram Posts
   

1. • Benjamin Guo, Christian Han, Joshua Luo, Kylar Osborne, Justin Qu, Cooper Shearer: Team Retro -- An Exploration of Neural Networks Playing Video Games
   

1. • Chimezie Iwuanyanwu, Ejeh Okorafor, Prawal Sharma, Ashar Malik, David Bush, John Love: Real Time Style Transfer
   

1. • Prerana Maslekar, Alexander Cathis, Yash Karundia, Animesh Goyal: Cold-User Recommendation Using Multi Armed Bandits
   

1. • Sameer Bibikar, Piotr Strycharski, Sofia Kamenova, Srinjoy Majumdar, Juan Pablo Pino, Thomas Anthony: Fabricating Relevant Movie Reviews
   

1. • Arjun Singh, Alex Issa, Jake Nimergood, Michael Herrington, Isabel Rogers, Anushree Biradar: Generating Classical Music via LSTMs and Attention
   

1. • Henok Tadesse, Qian Wen, John Truong, Pranav Rama. Mustafa Irfan, Andrew Vu: Political Classification of Presidential Speeches
   

1. • Dhruv Sandesara, Ayush Srivastava, Karim Sabar, Hamza Khatri, Alec Phillips, Casey Hu: Predicting Men’s Cricket Matches
   

1. • Aneesh Soni, Zarif Choudhury, Aashima Garg, Brian Wilmarth, Vaidehi Duraphe: Understanding Dockless Mobility
   

1. • David Zehden, Antonio Perez, Liangcheng Zhang, Rob Misasi, Thomas Wei, Sam Kaeser: Creating Music Using GANs
   

1. • Brandon Lee, David Yuan, Cindy Vu, Meiling Tang, Grace Jung, Nicolas Key, Zachary Herink: Petfinder Adoption Prediction
   

1. • Jiawei Wang, Hyunsu Chae, Sangsu Lee, Fei He: Representing Human Mobility Patterns with HMMs
   

1. •Wesley Klock: Picking Winning Startups
   

1. •Amaya Nick, Nieman Nick, Prakash Raghav, Rahman Farhan: Lyristic
   

1. •Samuel Zhang, Danny Vo, Troy Stidd, Aaron Li, Patrick Zhu: It’s Magic
   

1. •Wesley Klock: Picking Winning Startups
   

1. •Amaya Nick, Nieman Nick, Prakash Raghav, Rahman Farhan: Lyristic
   

1. •Ng Evonne, Ly Calvin, Zhu Colin, Wu Cynthia, Saini Nav: Subtle Accent Traits
   

1. •Sachdeva Shrey, Kawamura Daichi, Dean Joseph, Nyugen Jason, Poondi Kausthub: FashionBoard
   

1. •Chang Yuan, Unger Clive, Gupta Ashwin, Huang Benson, Suduwa-Dewage Avishka: PlayerUnknown’s Battlegrounds
   

1. •Shenoy Jayanth, Rai Rishabh, Chen David, Wang Yuang, Krish Shruthi: r/
   

1. •Kaab Ashqeen, Kevin Tian, Jason Fang, Jun Min Noh, Nabil Khan: Chain Colorization
   

1. •Chioma Okorie, David Yu, Luis  Quintanilla: Defending Against Adversarial Examples
   

1. •Heath Paul, Liu Xiangxing, Dashko Andriy, Hoang Justin: Porto Seguro
   

1. •Khan Aimun, Johnson Caleb, Wyde Reid, Kumar Nimay, Arthur Michael: Hotshots
   

Some Older Projects

1. •Corentin Dugue, Giovanni Alvantara, Joseph Shalabi, Sahil Shah: Predicting Instagram Likes
   

2. •Dan Jacobellis, Anthony Bauer, Connor White, Kevin Wu: The Tastemaker
   

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