Andrew L. Mackey, Ph.D.
Department of Computer Science and Engineering
University of Arkansas - Fort Smith
Office: |
Baldor 121-B |
Phone: |
+1 (479) 788-7882 |
Fax: |
+1 (479) 424-6882 |
Email: |
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Website: |
https://mackey.cs.uafs.edu/ |
Fall 2024 Office Hours
Please note that my office hours change due to appointments, meetings, etc. I strongly encourage everyone to contact me directly to schedule an appointment. The tutoring schedule contains a list of times in which students can get assistance for computer science courses.
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
Saturday |
Research (Appointment only) 12:00 pm - 8:00 pm |
11:00 am - 12:00 pm |
Research (Appointment only) 12:00 pm - 8:00 pm |
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Meetings (Appointment Only) 10:00 am - 1:00 pm |
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Research (Appointment only) 3:00 pm - 5:00 pm |
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6:45 pm - 8:00 pm |
6:45 pm - 8:00 pm |
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Courses
The follow list contains courses that I have taught within the past few years.
Course |
Link |
CS 2003 - Data Structures |
Su 17 Fa 18 Sp 19 Su 19 Fa 19 Sp 20 Su 20 Fa 20 Sp 21 Su 21 Fa 21 Sp 22 Fa 22 Sp 23 Su 23 Fa 23 Spring 2024 |
CS 2033 - Web Systems |
Fall 2015 Summer 2016 Summer 2017 Spring 2022 |
CS 3043 - Database Systems |
Sp 17 Fa 17 Sp 18 Su 18 Sp 19 Sp 20 Su 21 Fa 21 Fa 22 Spring 2023 |
CS 3103 - Algorithms |
Fa 16 Fa 17 Fa 18 Su 2019 Fa 2019 Summer 2020 Fall 2021 Fall 2022 Fall 2023 |
CS 3113 - Artificial Intelligence |
Sp 20 Sp 21 Sp 22 Sp 23 Su 23 Spring 2024 |
CS 3123 - Business Application Programming I |
Fall 2024 |
CS 4043 - Formal Languages |
Fa 21 Sp 22 Sp 23 Spring 2024 |
CS 4153 - Advanced Algorithms |
Spring 2018 Spring 2020 |
CS 4323 - Data Analytics |
Summer 2016 Fall 2016 Summer 2018 Fall 2019 |
CS 4333 - Machine Learning |
Spring 2017 Spring 2019 |
CS 4343 - Natural Language Processing |
Fall 2018 Fall 2020 Fall 2022 |
CS 4143 - Deep Learning |
Summer 2020 Spring 2022 Spring 2024 |
Resources
The following resources are available for students to use.
Linux
Programming
Data Science, Artificial Intelligence, and Machine Learning
Other
Advising
All students who are advised by me should schedule an appointment with me each semester if nothing more to let me know how your semester is progressing. The following advising materials are available to faciliate any discussions:
Summer 2024/Fall 2024 Special Topics/Advanced Courses
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CS 4903 - Intelligent Robotics (Special Topics): The course explores the fundamental concepts intelligent robotics.
Prerequisites: CS 3113 - Artificial Intelligence, or have instructor approval.
Concentrations: This course satisifies the General or Data Science/Artificial Intelligence concentrations.
Research
My work focuses on the design and implementation of algorithms that optimize, explain (transparency), and improve existing Artificial Intelligence (AI) systems. The following represents my areas of interest:
Artificial Intelligence, Machine Learning, and Deep Learning
Neural network architectures, computer imaging and vision, multimodal architectures for joint representations, etc.
Natural Language Processing, Information Retrieval, and Text Mining
Fake news detection, sentiment and emotion analysis, natural language generation, text classification, etc.
Data Engineering and Analytics
Distributed database systems, graph databases and algorithms, relational systems, etc.
I am always engaged and willing to sponsor student research in the aforementioned areas. If you are interested in participating in research and/or lab activities, feel free to schedule a time to visit with me and we can determine the best path forward.
Previous Research
- A. Mackey, B. Bright, and J. West, "Mathematical Equation Translation: Converting Mathematical Equations to LaTeX using Deep Learning", Fort Smith, Arkansas, 2023.
- A. Mackey, I. Cuevas, et al. , "Developing Advanced Artificial Intelligence, Data Science, and Statistical Models for Autonomous Robotic Vehicles: A Pathway to Smarter Mobility", Fort Smith, Arkansas, 2023.
- A. Mackey, S.G., et al. , "Fake News Identification Using Neural Language Models", Fourteenth International Conference on Information, Process, and Knowledge Management, Barcelona, Spain, 2022.
- A. Mackey, I. Cuevas, et al. , "Advancing Interdisciplinary Data Science and Artificial Intelligence Research", Fort Smith, Arkansas, 2022.
- A. Mackey, S.G., K.L. , "Detecting Fake News Through Emotion Analysis", Thirteenth International Conference on Information, Process, and Knowledge Management, Nice, France, 2021.
- A. Mackey, I. Cuevas, et al. , "Algorithmic Detection of Fake and Disruptive Content", Fort Smith, Arkansas, 2021.
- A. Cuevas, K. Kelly, I. Cuevas, and A. Mackey, "UAFS ParkBOT: An Autonomous Vehicle Identification Robot", UAFS Research Symposium, Fort Smith, AR, 2021.
- S. Atchley, B.Bright, I. Cuevas, R. Fisher, L. Hinton, A. McFerran, and A. Mackey, "Sentiment Analysis Using Deep Learning for Arkansas-based Organizations", Arkansas State Capitol, Little Rock, AR, 2020.
- A. Cuevas, I. Cuevas., F. Estrada, K. Kelly, and A. Mackey, "Improving the Privacy of Text Through Natural Language Processing and Machine Learning", Arkansas State Capitol, Little Rock, AR, 2020.
- B. Bright, C. Cuevas, I. Cuevas., and A. Mackey, "Scalable Processing of Massive Text Data Stores for NLP", Consortium for Computing Sciences in Colleges, Little Rock, AR, 2019.
- B. Bright, C. Cuevas, I. Cuevas., and A. Mackey, "Using NLP to Automate the Categorization of Text Across Disparate Systems Temporally", Arkansas State Capitol, Little Rock, AR, 2019.
- C. Cuevas and A. Mackey, "UAFS Inbox Manager - A Natural Language Text Categorization Tool for Email," UAFS Research Symposium, Fort Smith, AR, 2018.
- I. Cuevas and A. Mackey, "Automatic Text Summarization Within Big Data Frameworks", Consortium for Computing Sciences in Colleges, Memphis, TN, 2018.
- B. Bright, C. Cuevas and A. Mackey, "Text Categorization Using Distributed NoSQL Databases", Consortium for Computing Sciences in Colleges, Memphis, TN, 2018.
- I. Cuevas and A. Mackey, "In-Memory Cluster Computing for Machine Learing," Consortium for Computing Sciences in Colleges, Batesville, AR, 2017.
- C. Cuevas, I. Cuevas and A. Mackey, "Machine Learning in the Age of Automation," UAFS Research Symposium, Fort Smith, AR, 2017.
- C. Cuevas and E. Maravilla, "Inverted Indexes and Graph Algorithms using Hadoop," Consortium for Computing Sciences in Colleges, Batesville, AR, 2017.
- A. Mackey, "Incorporating Big Data Technology into Computing Curriculum," Consortium for Computing Sciences in Colleges, Memphis, TN, 2016.
- I. Cuevas and A. Mackey, "Optimizing Data Analytics Using In-Memory Big Data Clusters," Consortium for Computing Sciences in Colleges, Memphis, TN, 2016.
- K. Reed and A. Mackey, "Big Data, Analytics and Their Potential," Consortium for Computing Sciences in Colleges, Memphis, TN, 2016.
- A. Mackey, "Enterprise Systems," Consortium for Computing Sciences in Colleges, Conway, AR, 2015.
- D. Cabrera and A. Mackey, "Big Data - Big Opportunities: NoSQL and Hadoop," Consortium for Computing Sciences in Colleges, Conway, AR, 2015.
- K. Seo and A. Mackey, "NoSQL Document Databases for Enterprise Application Deployment," Consortium for Computing Sciences in Colleges, Conway, AR, 2015.
- S. Jeong and A. Mackey, "Big Data and Relational Database Management Systems," Consortium for Computing Sciences in Colleges, Conway, AR, 2015.
Programming Team
If you are interested in joining the UAFS programming team, please send me an email or stop by my office and visit with me. I would be more than happy to discuss this with you.
Upcoming Competitions
- November 2024 - ACM ICPC Programming Competition