T. Neal


Curriculum Vitae


Assistant Professor
Director, Cyber Identity and Behavior Research Lab

Dept. of Computer Science and Engineering
University of South Florida
Office: ENB 310

Office Hours for Spring 2020:
Tues 11A-12:30P, Wed 1P-2:30P



Research Areas

Biometrics / Mobile Device Biometrics / Biometrics for IoT

Privacy-Aware Uncooperative Biometrics

Stylometry / Authorship Attribution / NLP

Applied Machine Learning

Qualitative Research for Information Systems


Dr. Neal is co-organizing special session, Identity for Social Good, at IJCB 2020. See the Call for Papers.

Ph.D. student Sayde King is highlighted by USF's CSE department as a woman in STEM.

Paper accepted to SMSociety 2020.

Khadija Zanna successfully defended her M.S. thesis.

The First Workshop on Applied Multimodal Affect Recognition is postponed. Follow the FG2020 website for evolving details.

Dr. Neal has been accepted as a member of the ACM Future of Computing Academy.

Participate in Research

Ubiquitous Sensing and Compensation

The various sensors that you may interact with on a daily basis, such as cameras, microphones, those found in your phone such as an accelerometer for capturing movement, and even biosensors such as those found in smartwatches to monitor heart rate, have significant applications across several domains, from smart healthcare to emotion recognition. To study these applications, it’s often required that researchers have access to a diverse participant pool that interacts with these sensors in controlled environments such as a research lab and in more natural settings outside of the lab. Data collection is therefore a critical part of these evaluations.

We’d like to know more about these data collection procedures from your point of view. We are particularly interested in gathering information about the compensation amounts that potential participants feel is most appropriate for these data collection procedures. With your insight, we hope to provide the research community with new information that will help to structure data collection procedures more appropriately, ensure participants feel valued and appreciated for their support of the research, and provide participants with suitable amounts of compensation that promote compliance to the study’s procedures. We will gather your input via an online survey. It should take no more than 5 minutes to complete.

This study is considered minimal risk and your participation is voluntary. Although there is no compensation for completing the survey, we greatly appreciate your efforts should you decide to participate. You may decline or withdraw from participation at any time without penalty. Although we will collect demographic data such as gender and age, we will not collect personally identifying information.

This research is being conducted by the University of South Florida. This study has been approved by USF IRB Pro# STUDY000019. It is led by Drs. Tempestt Neal and Shaun Canavan, faculty members in the Department of Computer Science and Engineering. If you are a USF student, is 18 years old or older, and would like to participate, please click here.

Credibility and Bias in Online Information

We are seeking individuals 18 years old or older to participate in an online survey to assess if the perception of an article’s credibility is influenced by fact-checking through artificial intelligence and/or professional journalists. Information on the web is in great abundance. However, due to freedom of speech, anonymity, and lack of standardization, there is no clear indication of whether something read on the internet is credible or not. Although this has been a recognized issue for a while, the modern political landscape has brought it to the forefront of our collective conversation. Our specific aims are to (1) determine if providing an AI analysis, journalist analysis, and no analysis of misinformation may affect your perception of credibility of a snippet from a political article and to (2) determine if your prior understanding of AI or demographics affect your trust in AI to judge the credibility of online text.

This study involves an online survey that should take no more than 13 minutes to complete. You will be asked to rate the credibility of four short political articles. This study is considered minimal risk, and your participation is voluntary. You may decline or withdraw from participation at any time without penalty. If you are a student, your decision to or not to participate will not affect your grade or student status. Although we will collect demographic data such as gender and age, we will not collect personally identifying information.

This research is being conducted by the University of South Florida. It is led by Matthew Sumpter (Department of Computer Science and Engineering) with faculty advisor, Dr. Tempestt Neal, (Department of Computer Science and Engineering. This study is being conducted for research purposes. If you are 18 years old or older, and would like to participate, please click here. (IRB Approved Study #STUDY000388)

Joining the Lab

Students interested in joining CIBeR are encouraged to review the lab's manual to determine if our lab is a good fit for you. The content below provides more information about joining our group. ​
There are currently no openings for graduate students. Under extraordinary circumstances (e.g., you have significant experience in the lab's research areas), I may consider advising Master theses and/or Ph.D. work. Ph.D. students with experience in one or more of the following research areas are encouraged to send their application materials to Dr. Neal.
  • Machine and deep learning / pattern recognition systems
  • Statistical analysis
  • Image processing / computer vision
  • Qualitative data analysis methods
  • Natural language processing
  • Experience in Python, TensorFlow, Keras, Sci-kit Learn
  • Cloud storage
  • Data mining
​ All graduate students must be able and willing to:
  • Support undergraduate students / serve as mentors,
  • Work toward effective communication of their research (e.g., presentation and writing skills),
  • and work peacefully and productively in a team environment.
​ Interested students should submit the following materials to tjneal@usf.edu for consideration.
  1. A brief summary of two projects (can be coursework or something you completed on a job or your own) that you are most proud of, and what your contributions were to the project.
  2. Your views on the on-going research in the CIBeR lab that appeals to you the most. This requires that you familiarize yourself with our research projects. I'd like your input on our current research strategies, and how you feel you might be able to expand or contribute to these efforts.
  3. Brief write-up of how you feel technology and computer science can be used to improve problems facing the world. Please provide specific examples.
  4. List of courses taken with final grades.
  5. Degree you are currently pursuing and expected start date at USF.
  6. Updated CV and publications, presentation slides, etc, if available.
  7. Link to personal website.
We are always looking for enthusiastic undergraduate students interested in gaining hands-on experience in research. Ideal students will have some experience in our research areas and will be able to clearly articulate how they want to contribute to the lab. Ideal students will also be able to dedicate about 5 hours to working with research team per week, and will meet regularly during lab meetings. All undergraduate students are brought into the lab as volunteers, and are encouraged to take full advantage of the wide spectrum of learning opportunities! Reach out to Dr. Neal for more information if interested.
Students underrepresented in STEM (women, African Americans, Hispanics, American Indians, Alaska Natives, Native Hawaiians, Native Pacific Islanders, and persons with disabilities) are especially encouraged to submit application materials (see above) to Dr. Neal for volunteer research opportunities. All qualifying students will be supported in some capacity (e.g., participating in an on-going research project, mentorship, assistance in developing/revising a resume/CV, connecting you with other faculty with similar interests, etc.).


Mohamed Ebraheem, Ph.D. Student, Lab Manager

Sayde King, Ph.D. Student

Parush Gera, Ph.D. Student

Meghna Chaudhary, Ph.D. Student

Matthew Sumpter, M.S. Student

Khadija Zanna, M.S. Student

Lakshmi Angara, UG Student

Nadia Thomas, UG Student


Spring 2020: COP3331 Object Oriented Software Design