REU 2022

Program Overview:

The 2022 REU program is funded by the NSF and designed to bring together undergraduate students from different universities to work together on research projects. At the end of the ten week program, each project group prepares a poster, a research paper, and a final presentation.

Program duration: 5/23/2022 (Monday) - 7/29/2022 (Friday)

Faculty mentors:

Dr. Prasad Calyam is an Associate Professor in the Electrical Engineering and Computer Science Department. He also serves as the Director of MU’s Cyber Education, Research and Infrastructure Center. He is an expert in computer networking, cloud computing, cyber security, multimedia applications, and network measurement. He has published over 140 peer-reviewed publications in reputed conferences and journals, and has led development of several open-source software packages. He has graduated 4 PhD students, supervised 5 Postdocs, and he is currently supervising 4 PhD students. He has recruited, funded and mentored over 50 graduate students and 40 undergraduate researchers. He is a Senior Member of IEEE. His research sponsors include: NSF, DOE, ARL, VMware, Cisco, Dell, Verizon, IBM, Huawei, Internet2, and others.

Dr. Yi Shang is a Professor and the Director of Graduate Studies in the Electrical Engineering and Computer Science Department. He has extensive research experience on wireless sensor networks, mobile computing, and artificial intelligence, and has published over 190 journal and conference papers and received 6 patents. He has graduated 9 Ph.D. students and over 60 M.S. students and supervised over 50 undergraduate researchers. He is currently supervising 9 Ph.D., 5 M.S., and 3 undergraduate students. His research has been supported by NSF, NIH, US Army, DARPA, Microsoft Research, Raytheon and Missouri Dept. of Conservation. He helped coordinate previous REU programs as a faculty mentor and Program Director.

Dr. Khaza Anuarul Hoque is an Assistant Professor in the Electrical Engineering and Computer Science Department. He is the Director of the Dependable Cyber-Physical Systems (DCPS) Laboratory with projects funded by NSF and DoD. His research area includes cyber-physical systems, formal methods, cyber security, and safe AI/ML. He has published over 35 peer-reviewed publications. He is currently supervising 4 Ph.D. students, graduated 1 M.Sc. student, and has mentored 3 REU student projects since 2018. He is a senior member of IEEE and a member of ACM and AAAS.

Dr. Kannappan Palaniappan is a Professor in the Electrical Engineering and Computer Science Department. He is a Director of Computational Imaging & VisAnalysis (CIVA), with projects funded by NSF, Army Research Lab, Air Force Research Laboratory, NASA, and NIH. He served as a National Academies Jefferson Science Fellow and received the NASA Public Service Medal. His research covers computer vision, high performance computing, data science and biomedical image analysis. He has published over 250 peer-reviewed publications. He is currently supervising 8 Ph.D. students and 2 Research Scientists, and has mentored over 15 PostDocs, 11 PhD students, 27 MS students and over 30 undergraduate students.

Evaluator, Dr. Jane Howland is a Teaching Professor and the Learning Technologies Program Director for the School of Information Science & Learning Technologies. She is currently working with 6 Ph.D. students and advises all Master's and Educational Specialist students in the Learning Technologies’ Online Education emphasis area. In her role as Learning Technologies Program Director, she is responsible for data collection, analysis, and program evaluation.

Graduate Student Coordinator:

Alicia Esquivel
Alicia Esquivel Morel University of Missouri, Columbia

Alicia Esquivel received her M.S. degree in 2020, and is currently pursuing her Ph.D. in the Department of Electrical Engineering and Computer Science at the University of Missouri-Columbia, USA. Her current research interests include: Cloud Computing, UAV systems, Machine Learning, and Cybersecurity.
Phone: +1 (404)804-2412

Student Researchers:

Anvitha Ramachandran
Anvitha Ramachandran UMass Amherst, Amherst, MA

Benjamin Hall
Benjamin Philip Hall Murray State University, Murray, KY

John Criswell
John Robert Criswell University of Missouri, Columbia, MO

Joseph Kessler
Joseph Kessler - Truman State University, Kirksville, MO

Michael Miller
Michael Miller Iowa State University, Ames, IA

Osama Elsaid
Osama Yahia Elsaid University of Missouri, Columbia, MO

Osayamen Edo-Ohonba
Osay Edo-Ohonba University of Missouri, Kansas City, MO

Shaynoah Bedford
Shaynoah Bedford - University of the Virgin Islands, U.S. Virgin Islands, VI

Shreyas Prabhudev
Shreyas Prabhudev - San Jose State University, San Jose, CA

Trevor Zobrist
Trevor Zobrist - Southeast Missouri State University, Cape Girardeau, MO

Work schedule
  1. 8 hours, 9am-12pm and 1-6pm in the office or in a lab.
  2. You are required to sign up a time sheet posted at the office every day.
  3. Use the Microsoft Teams channel to interact virtually with the REU Site group.

Weekly program meeting: Tuesday, 10-12pm or 2-4pm, in 222 Naka Hall (unless announced differently). All mentors are welcome to attend.

Weekly research journal of each team due: 5pm every Friday - report daily research activities.


222 Naka Hall
10:00 am - 10:30 am
10:30 am - 11:00 am
11:00 am - 12:30 pm
3:00 pm - 4:00 pm
4:00 pm - 5:00 pm
Orientation & Welcome
Student Introductions
REU Project Presentation by REU mentors
Project Team Assignments
Pre-survey, paperwork, self-study
222 Naka Hall
10:00 am - 11:30 am
2:00 pm - 4:00 pm
Why & how to do research by Dr. Calyam
a) How to read and write research papers
b) How to prepare and give a technical presentation
c) Computer science ethics. IRB training.

by Dr. Shang
222 Naka Hall
10:00 am - 11:30 am
1:00 pm - 2:30 pm
Computational Imaging & VisAnalysis by Dr. Pal
Cyber Physical Systems by Dr. Hoque
222 Naka Hall
3:00 pm - 4:30 pm Software Defined Networking by Dr. Calyam
222 Naka Hall
10:00 am - 12:00 pm
2:00 pm - 3:00 pm
Weekly program meeting - Team project presentation (project goals, milestones, OKRs, initial literature survey results). All graduate mentors are encouraged to attend.
led by Dr. Shang
Dr. Shang Tech Talk
10:00 am - 12:00 pm
222 Naka Hall

2:00 pm - 3:00 pm
245 Naka Hall
Weekly program meeting
led by Dr. Hoque

Dr. Hoque Tech Talk
1:00 pm - 3:00 pm MU Data Center Tour by Bill McIntosh
10:00 am - 12:00 pm
222 Naka Hall

2:00 pm - 3:00 pm
245 Naka Hall
Weekly program meeting
led by Dr. Pal

Dr. Pal Tech Talk
8:30 am - 9:20 am Visit to Columbia Public Schools EEE summer school, grades 6-8
(co-ordinated by Mr. Matt Leuchtmann)
10:00 am - 12:00 pm
222 Naka Hall

2:00 pm - 3:00 pm
245 Naka Hall
Weekly program meeting
led by Dr. Calyam
Dr. Calyam Tech Talk

222 Naka Hall
10:00 am - 12:00 pm Weekly program meeting- Midterm presentation
Midterm report in IEEE LaTeX style due
led by Dr. Calyam
222 Naka Hall
10:00 am - 12:00 pm Weekly program meeting
by Dr. Pal
222 Naka Hall
10:00 am - 12:00 pm Weekly program meeting
by Dr. Hoque
222 Naka Hall
10:00 am - 12:00 pm Weekly program meeting
(Abstract Submission for Poster Forum)
led by Dr. Shang

222 Naka Hall
10:00 am - 12:30 pm Final presentation
Final report in IEEE LaTeX style due
led by Dr. Calyam and Dr. Shang
TBD 10:00 am - 3:30 pm Poster Forum (MU Summer Undergraduate
Research and Creative Achievements Forum)
222 Naka Hall
10:00 am - 12:00 pm Post-survey, wrap-up

NOTE: We encourage students to consider submitting their final project reports as papers (full papers, or short papers) to venues such as: the annual National Workshops for REU Research in Networking and Systems (REUNS), IEEE CCNC, IEEE ICNC, IEEE NCA and others with July/August 2022 deadlines.

  • Ensemble learning-based ML methods for Cybersickness detection and classification in Virtual eality
    Advisors: Dr. Prasad Calyam, Dr. Khaza Anuarul Hoque
    Graduate Student Mentors: Ripan Kumar Kundu
    Research Students: Osama Elsaid, Robby Criswell
    Abstract: Virtual reality (VR) has gained immense popularity in recent years and has been adopted in a wide variety of applications including medical training, education, national defense, public safety/disaster management, and many more. Specifically, in the current COVID-19 pandemic situation, VR offers a tremendous prospect for remote learning as realistic collaboration workspaces and the coping strategies for mental wellness for the adults as it can provide a sense of human presence. However, VR users often experience cybersickness which is a set of unpleasant symptoms such as eyestrain, headache, nausea, disorientation, etc. Such cybersickness-related discomforts possess a significant threat to user immersive experience (UIX) and thus, there is a dire need of predicting cybersickness in real-time.

  • Large-scale IoT Security Automation via Intelligent Agents in Edge/Cloud Platforms
    Advisors: Dr. Prasad Calyam
    Graduate Student Mentors: Roshan Lal Neupane
    Research Students: Shaynoah Bedford, Shreyas Prabhudev, Trevor Zobrist​
    Abstract: Internet of Things (IoT) networks are increasingly use it in critical application domains such as healthcare, manufacture, finance, smart homes, etc. The use of heterogeneous resource-constrained devices and real-time requirements in these applications cause attack surfaces that are being exploited by sophisticated modern attacks causing loss of confidentiality, integrity, and availability. Large scale threat detection and mitigation in these application systems create a complex set of challenges for network operators and application/service owners, which cannot be solved via the manual and trial-and-error processes in current practice. Consequently, there is a need to design large-scale security automation techniques that involve Artificial Intelligence (AI) based techniques whose computation offloading is performed on edge servers and security policy updates are dynamically deployed at the IoT system gateway.

  • Collaborative VR Environments Shared Between CAVE and HoloLens2
    Advisors: Dr. Kannappan Palaniappan, Dr. Prasad Calyam
    Graduate Student Mentors: Jaired Collins, Nick Allegretti
    Research Students: Benjamin Philip Hall Murray, Joseph Kessler, Osay Edo-Ohonba
    Abstract: Virtual environments are rapidly changing as innovations in component technologies offer new opportunities for increased immersion. Game engine software like Unity and Unreal Engine5 (UE5) provide photorealistic rendering and accurate physics, while also providing plug-in support for many assets, including modeling and dynamics in virtual environments. We have shown that a dense point cloud made with a state-of-the-art computer vision-based reconstruction method can be reliably transformed into a 3D triangular-mesh model using open source meshing algorithms, and then textured for use in Unity or UE5 for viewing in the University of Missouri CAVE large space or HoloLens head-worn virtual environments.

  • Transmitting Information with Global-Designation of Emergency Routes (TIGER): A Framework for UAV Swarm-Based Applications
    Advisors: Dr. Prasad Calyam
    Graduate Student Mentors: Alicia Esquivel Morel
    Research Students: Michael Miller, Anvitha Ramachandran
    Abstract: The advent of Software-Defined Networking (SDN) enables the development of the network landscape by providing flexibility for the programmer through isolating the control from the data plane. A programmable data plane allows the manipulation and the configuration of the network traffic, specifically in match and action tables. The main disadvantage of non-programmable data planes, such as SDN, include the fixed number, and the format of packet headers supplied by the implementation of hardware. Also, in the communication aspect, the data plane and the control plane result in a high-level latency between decisions and reconfigurations. A programmable data plane provides a more flexible methodology to control the packet data processing at the data transmission speed of a communication line or a network. This project proposes a framework targeted toward UAV swarm systems utilizing SDN and programmable data planes, specifically employing the capabilities of the Programming Protocol-independent Packet Processor (P4) language.

Computer networks basics

Research advice

Software-Defined Networking related materials

Computer Science Ethics

IRB training ( to receive IRB certification

  • Responsible Conduct of Research courses
  • Human Subject Research courses

LaTeX resources

Prior REU project examples as best practices to follow:

  • NSF  Sponsored by the National Science Foundation (Award CNS-1950873)

       MU     Hosted by the University of Missouri