REU 2020

Program Overview:

The 2020 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: 5/26/2020 (Tuesday) - 7/31/2020 (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. Marjorie Skubic is a Professor and the Director of the MU Center for Eldercare and Rehabilitation Technology (CERT), with projects funded by the NSF, NIH, NLM, AHRQ, and U.S. Administration on Aging. Several CERT projects have focused on monitoring older adults through a network of sensors placed in the home including PIR motion sensors, a bed sensor that captures pulse, respiration, and sleep restlessness, and gait analysis systems using Kinect depth cameras, webcams, and radar. She has published over 250 papers, currently supervises 10 graduate students, and graduated 12 Ph.D. students, 28 M.S. students, and worked with over 150 undergraduate researchers. Many have continued on with graduate studies.

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:

Vaibhav Akashe received his Bachelor of Engineering degree in Information Technology from Savitribai Phule Pune University, India in 2016. He is currently pursuing his MS degree in Computer Science at University of Missouri-Columbia. His current research interests include Cloud Computing, Cloud Security for AR/VR, Virtual Reality, Cyber Security and Machine Learning. He can be reached at.
Email: vva8yb@mail.missouri.edu


Student Researchers:

adityavandanapu
Alec James - University of California, Berkeley

benfrailey
Alexander Riddle - University of Missouri-Columbia

boonakjipalipatan
Angel Herrera Flores - University of Puget Sound

bradykruse
David Falana - Rutgers University

cartersifferman
Helen Chen - University of Maryland, College Park

jeromyyu
John Jack Lewis - Florida Southern College

keatonleppanen
Jordyn Blakey - DePauw University

mileskrusniak
Maxwell Chappell - Truman State University

shaniahtullis
Micheal Fisher - Columbia College

zoemoore
Robert Ignatowicz - Stony Brook University

Work schedule
  1. MTuThF: 8 hours, 9am-12pm and 1-6pm virtually.
  2. You are required to sign up a time sheet posted virtually every day.
Weekly program meeting: every Tuesday, 10-12pm or 2-4pm, via Zoom. All mentors are welcome to attend.

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


Schedule

DATE TIME ACTIVITY
5/26
Tuesday
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
5/27
Wednesday
10:00 am - 11:30 am
2:00 pm - 4:00 pm
Why & how to do research by Dr. Calyam

  1. How to read and write research papers
  2. How to prepare and give a technical presentation
  3. Computer science ethics. IRB training.
    by Dr. Shang
5/28
Thursday
10:00 am - 11:30 am
1:00 pm - 2:30 pm
Software Defined networking by Dr. Calyam
Computational Imaging & VisAnalysis by Dr. Pal
5/29
Friday
10:00 am - 11:30 am Eldercare and Rehabilitation Technology for Better Health by Dr. Skubic
6/2
Tuesday
10:00 am - 12:00 pm
2:00 pm - 3:00 pm
Weekly program meeting - project assignment. All graduate mentors are encouraged to attend.
led by Dr. Calyam
Dr. Calyam Tech Talk
6/4
Thursday
1:00 pm - 3:00 pm MU Data Center Virtual Tour by Bill McIntosh and Tim Middelkoop
6/9
Tuesday
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)
led by Dr. Pal
Tech Talk
Dr. Pal
6/11
Thursday
8:30 am - 9:20 am Virtual Visit to Columbia Public Schools EEE summer school, grades 6-8
co-ordinated by Ms. Heidi Barnhouse
6/16
Tuesday
10:00 am - 12:00 pm
2:00 pm - 3:00 pm
Weekly program meeting
led by Dr. Shang
Tech talk
led by Dr. Shang
6/17
Thursday
1:00 pm - 3:00 pm IQT Labs Virtual Tour
6/23
Thursday
10:00 am - 12:00 pm
2:00 pm - 3:00pm
Weekly program meeting
led by Dr. Skubic
Tech Talk
led by Dr. Skubic
6/30
Tuesday
10:00 am - 12:00 pm Weekly program meeting- Midterm presentation
Midterm report in IEEE latex style due
led by Dr. Calyam
7/7
Tuesday
10:00 am - 12:00 pm Weekly program meeting
by Dr. Pal
7/14
Tuesday
10:00 am - 12:00 pm Weekly program led by
Dr. Skubic
7/21
Tuesday
10:00 am - 12:00 pm Weekly program meeting
(Abstract Submission for Poster Forum)
led by Dr. Shang
7/29
Wednesday
10:00 am - 12:30 pm Final presentation
Final report in IEEE latex style due
led by Dr. Calyam
TBD
TBD
10:00 am - 3:30 pm Poster Forum (MU Summer Undergraduate
Research and Creative Achievements Forum)
7/31
Friday
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 2018 deadlines.

Computer networks basics

Research advice

Software-Defined Networking related materials

Computer Science Ethics

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

  • Responsible Conduct of Research courses
  • Human Subject Research courses

Latex resources

Prior REU project examples as best practices to follow:

  • Attack-Defense and Performance Adaptations for Social Virtual Reality Learning Environments Poster
    Advisor: Dr. Prasad Calyam / Dr. Khaza Hoque
    Gradutate Student Mentors: Samaikya Valluripally, Vaibhav Akashe
    Research Students:
    Abstract:

  • Development of Multi-Drone Coordinated Path Planning Methods for Aerial Image Collections for Wetland MonitoringPoster
    Advisor: Dr. Yi Shang
    Graduate Student Mentors: Robert Tang, Yang Zhang
    External Mentors: Joel Sartwell, Andy Raedeke
    Research Students:
    Abstract:

  • Truth, Trust and Transparency in Synthetic Media Poster
    Advisor: Dr. Prasad Calyam, Dr. Kannappan Palaniappan
    Graduate Student Mentor: Imad Eddine Toubal
    Sponsors: Vishal Sandesara, Zigfried Hampel, Arias, Michael Lomnitz
    Research Students:
    Abstract:

  • Personalizing Health Messages in an Automated Health Alert System Using Deep Learning and Natural Language ProcessingPoster
    Advisors: Dr. Marjorie Skubic
    Graduate Student Mentors: Anup Mishra
    Research Students:
    Abstract:

  • Enhancing Network-edge Connectivity and Security in Drone Video Analytics Poster
    Advisor: Dr. Prasad Calyam, Dr. Kannappan Palaniappan
    Graduate Student Mentor: Alicia Esquivel, Chengyi Qu, Deniz Kavzak Ufuktepe
    Research Students:
    Abstract:







LightsSponsored by the National Science Foundation (Award CNS-1950873)

LightsHosted by the University of Missouri