Student & Researcher
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
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.