REU 2022

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.

Schedule

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

• Watch Computer Networks Lectures

Research advice

• Watch Advice to young scientists
• Why and How to do research
• How OKRs work in Google
• How to read a research paper
• How to write a research paper
• How to present a scientific talk
• How to build a research system
• Why to write the paper first
• How to give a talk

Software-Defined Networking related materials

• Watch Software Defined Networking
• GENI https://www.geni.net
• Open Networking Foundation https://www.opennetworking.org
• Leveraging OpenFlow for Resource Placement of Virtual Desktop Cloud Applications
• VDC-Analyst: Design and Verification of Virtual Desktop Cloud Resource Allocations
• Orchestrating Science DMZs for Big Data Acceleration: Challenges and Approaches
• Dolus: Cyber Defense using Pretense against DDoS Attacks in Cloud Platforms*

Computer Science Ethics

• Code of Ethics, ACM
• Computer and Information Ethics, Stanford Encyclopedia of Philosophy

IRB training (http://research.missouri.edu/irb/CITI_Instructions) to receive IRB certification

• Responsible Conduct of Research courses
• Human Subject Research courses

LaTeX resources

• Use IEEE publication LaTeX or Overleaf to typeset your report.
• MikTex as the LaTeX compiler, http://miktex.org/
• Texmaker as the Editor Environment, http://www.xm1math.net/texmaker/
• Tutorial: https://www.latex-tutorial.com/tutorials

Prior REU project examples as best practices to follow:

• Weekly/daily research journals
• OKR and literature Survey Talks
• Midterm Presentations
• Final Presentations
• Research Forum Posters
• Conference Publications

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