I am currently studying Computer Science with a minor in Mathematics at The University of South Florida where I've had the honor of trying out a plethora of research opportunities. I've been a part of both the Computational Biophysics Lab and Intelligent Systems Lab here at USF, but now I'm currently working on projects in the Social Computing Research Lab and Neuro Machine Interaction Lab. Due to my love of learning I have had a lot of varying interests throughout the years, but my most burning passion is the mind. I want to explore Artificial Intelligence in order to develop a better understanding of Natural Intelligence.
I am interested in enabling machines to make sense of the high-dimensionality of the real-world, at both large and small timescales, in order to one day have the ability to act intelligently and autonomously over a variety of complex sensorimotor tasks on par with human intelligence. The areas which have currently captured most of my time are robotics and machine learning, specifically deep learning, meta-learning, hierarchical reinforcement learning, and the areas in which these intersect. I believe further development in these areas play an important role in what is to come and can lead to a better understanding of the nature of intelligence. Email: wmcclinton(at)mail.usf.edu
Publications
1. Wang, Y., McClinton, W., Xiaopeng, L. (2019). Optimizing for Both Fuel Efficiency and Displacement of Neural Network Controllers for Autonomous Vehicle using Cross-Entropy and Reinforcement Learning. (In preparation)
2. Minakshi, M., McClinton, W., Mirzakhalov, J., Bharti, P., and Chellappan, S. (2019). A Deep Learning Framework to Automatically Identify Genus and Species of Mosquitoes from Smart-phone Images. (Submited to IEEE Transactions on Mobile Computing.)
3. McClinton, W., Garcia, S., Andujar, M. (2019) An Immersive Brain Painting: The Effects of Brain Painting in a Virtual Reality Environment. In: Schmorrow D., Fidopiastis C. (eds) Augmented Cognition. HCII 2019. Lecture Notes in Computer Science, vol 11580. Springer, Cham.
4. McClinton, W., Caprio, D., Laesker, D., Pinto, B., Garcia, S., and Andujar, M. (2019) 300-Based 3D Brain Painting in Virtual Reality. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA '19); ACM, New York, NY, USA, Paper LBW1119, 6 pages.
5. Awad, G., Butt, A., Fiscus, J., Joy, D., Delgado, A., McClinton, W., Michel, M., Smeaton, A., Graham, Y., Kraaij, W., Quenot, G., Eskevich, M., Ordelman, R., Jones, G., Huet, B. (2017)TRECVID 2017: Evaluating Ad-hoc and Instance Video Search, Events Detection, Video Captioning, and Hyperlinking. TREC Video Retrieval Evaluation (TRECVID), Nov 2017, Gaithersburg, MD, United States. hal-01854790.
Projects
Classroom.ai
Classroom.ai is a classroom application that allows students to self-report their confidence levels and give feedback anonymously in real-time. We use this to create personalized model that recognizes individual student's faces and determines their affective states in class during lectures.
Potbuddy brings life to your plants. I’ve killed many plants over the year and I felt that technology could help save them. People tend to think technology is antithesis of nature. We wanted show people that technology and nature can sometimes have a symbiotic relationship.
We attempted to create an AI bot to play the game of Coup in 5 player setting. Are you wondering what is Coup? It is basically a multi-player game where a player has to manipulate, bluff, and decieve others with the goal of being the last one alive, all skills an AI shouldn't have.
This website was made to showcase the greatest collegiate hackathoners of our time. It contains a ranking system for hackathon winners based on the number of awards won calculated by crawling Devpost for projects that have been marked as winners at hackathons and Devpost challenges.
This BCI Hand was an extension of a thingiverse project we found for a prosthetic hand. We then adapted it to use 4 motors for better control and controlled it via brainwaves from an OpenBCI headset. Processing and control was done by my computer.
The Fix8 mobile app uses a Muse Headset to interpret brainwaves and quantify focus and drowsiness. Based on data received and user preferences, Fix8 sends notifications with sound or vibration that tell the user if they have dipped below focus or drowsiness thresholds.
Recently, we ran across a Tumbler post about the idea of adopting elderly people who have no close family members to take care of them. Legacy is a mobile app that matches youth with senior citizens in elderly homes based on common goals, interests and location.
This was an implementation of the MENACE matchbox algorithm for Rock, Paper, Scissors. It was made for a USF Honors Workshop with the intention of introducing students to programing in python and machine learning ideas. This was based on an amaizing video I saw by Matt Parker.
I am a huge fan of John Conway and I love making art with math. This code transforms your PNGs onto a John Conway Game of Life board so you can see your pictures come to life. The board and other files were made with Turtle graphics for Tkinter in Python.
Speech2code is a computer application that allows users to program hands-free. It uses the Sphynx speech recognition library to identify the key words spoken by the user and then matches it to its relatively small database of code snipets.
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