Principal Investigator

Dr. Lars Kotthoff

Assistant Professor

My research combines artificial intelligence and machine learning to build robust systems with state-of-the-art performance. I develop techniques to induce models of how algorithms for solving computationally difficult problems behave in practice. Such models allow to select the best algorithm and choose the best parameter configuration for solving a given problem. I lead the Meta-Algorithmics, Learning and Large-scale Empirical Testing (MALLET) lab and directing the Artificially Intelligent Manufacturing center (AIM) at the University of Wyoming.

PhD Students

Damir Pulatov

I'm a computer science graduate student doing research in AI. I'm currently working on a method to improve automated algorithm selection systems by analyzing algorithms. In my free time, I also like to contribute to free software. In the near future I plan on getting back into music and possibly start making my own amateur music. For more information, check out my website.

Haniye Kashgarani

I am a Computer Science student with interests in Machine Learning, AI, and programming. My current research which will be my Ph.D. dissertation is related to applying machine learning to dynamically estimate and allocate parallel computational resources for solving Algorithm Selection problems. Also, I am part of Animal Identification project which is a joint project with Veterinary department. We use deep convolutional network for animal classification on image data.

Mehdi Nourelahi

I'm a second-year Ph.D. student at computer science department. I am currently working on a data augmentation method to boost regularizations in Deep neural networks. My research interests are computer vision, NLP and more generally applying machine learning to real world problems.
I like playing chess and I consider myself a bit of a cinephile. For more info please visit my website.

Jesse Ken Evans

I'm a computer science Graduate Student working on optimizing 3D printer models. I hope to achive faster print times without changing quality of the printed model. I'm also a graduate assistant here at UWYO.

Undergraduate Students

Austin Stephen

I'm a senior majoring in computer science and statistics from Cheyenne, Wyoming. My project looks to improve automated machine learning preprocessing with unsupervised learning techniques. Often datasets are composed of substrata of homogenous groups, and statisticians will identify and model these groups independently. Using a large dataset of NBA games, I'm exploring using clustering as part of an automated machine learning pipeline to identify and model these substrata independently. Beyond research, I enjoy trail running in the mountains around Laramie.

Joshua Arulsamy

I am a computer science student with a broad interest in most fields of computing. Currently, I am conducting empircal analysis on modern implementations of quicksort and exploring new optimization techniques to improve performance. When not working in the lab, I enjoy contributing to many open source projects and tinkering with Linux.

Natalie Foss

I am a senior undergraduate in computer science, who is interested in the democratization of automated machine learning. This interest led me to work on making the mlr3 documentation more beginner friendly. I spend much of my free time reading and being creative!

Lona van der Linden

I'm a San Diego native studying computer science with interests in functional programming, machine learning, and teaching. Currently, I am working on a documented comparison of common machine learning tasks between the MLR3 (R), Scikit Learn (Python), and MLJ (Julia) libraries. Outside of my work for MALLET, I am also developing my senior capstone project based off of the Spotify API and the SpotiPy library. My non-academically inclined hobbies include teaching dance lessons, expanding my music taste, exploring new cities, and cooking!

Nikita Gallegos

I am an undergraduate student of the University of Wyoming studying Computer Science. I have a vested interest in the intersection of neuroscience and computer science, logic, ethics, and creativity of artificial intelligence. There is immense potential in artificial intelligence, so much to learn and discover, I am thrilled to contribute to both progress and ethical limitation any way possible. In the Mallet lab, I am currently working on refactoring and updating code that attributes credit to algorithms using the Shapley value of game theory. The current code needs to be more streamlined and generalized so it can actually be integrated into other projects.

Alumni

  • Sourin Dey (now a PhD student at the University of South Carolina)
  • Katherine Chawla
  • Krishna Chemudupati (now a PhD student at the University of Colorado at Boulder)
  • Lucas Manker
  • Thomas Wise