Past events
Spring 2024 Data Science Poster Fair
Friday, April 19, 2024, 10 a.m. through Friday, April 19, 2024, Noon
ABC room at the Campus Club in Coffman Memorial Union
We invite you to attend the Spring 2024 Data Science Poster Fair! This year's event will be held on April 19th from 10 am -12 pm in the ABC room at the Campus Club in Coffman Memorial Union.
Every year, data science M.S. students present their capstone projects during this event as a part of their degree requirements.
The poster fair is open to the public and all interested undergraduate and graduate students, alumni, staff, faculty, and industry professionals are encouraged to attend.
See below for this semester's presenters and capstone project topics.
Spring 2024 Posters
Jashwin Acharya Advisor: Wei Pan, School of Public Health "Use of a large language model for few-shot learning to predict dementia" | Aviral Bhatnagar Advisor: Jaideep Srivastava, Department of Computer Science and Engineering "Genome Sequencing" | Jiahao He Advisor: Erich Kummerfeld, Institute for Health Informatics "Identifying Health Condition Factors that Impact K-12 Education Outcomes" |
Jooyong Lee Advisor: Erich Kummerfeld, Institute for Health Informatics "Exploring Health-Related Determinants of Student's Academic Performance: A Causal Inference Approach Using the DoWhy Python Library" | Hahnemann Ortiz Advisor: Daniel Boley, Department of Computer Science and Engineering "Convergence of AI and DLT" | Jong Inn Park Advisor: Dongyeop Kang, Department of Computer Science and Engineering "Graphical Text Summarization Using Generative AI" |
Hari Veeramallu Advisor: Junaed Sattar, Department of Computer Science and Engineering "Study the feasibility of generating a top-down view of an Underwater Robot given an input stream from n RGB camera sensors." | Tianhong Zhang Advisor: Tianxi Li, School of Statistics "Comparative Analysis of Deep Learning and Stacking Methods for Link Prediction in Network Data" | Shifa Siddiqui Advisor: Rui Zhang, Department of Surgery "Leveraging Natural Language Processing to Analyze Healthcare Data" |
Venkata Sai Krishna Abbaraju Advisor: Jaideep Srivastava, Department of Computer Science and Engineering "Reviving lost data: Applying ML to impute missing data in factory datasets" | Dinesh Reddy Challa Advisor: William Northrop, Department of Mechanical Engineering "Influence of Snowfall on the Fuel Consumption of Winter Maintenance Vehicles" | Amrutha Shetty Jayaram Shetty Advisor: Dongyeop Kang, Department of Computer Science and Engineering "Bridging AI Dimensions: Small Model Precision Meets Large Model Depth in Therapy" |
Rahul Mehta Advisor: Erich Kummerfeld, Institute for Health Informatics "Transdiagnostic causal models of relationships among manic and depressive symptoms in mania, depression, mixed state, and euthymia" | Sam Penders Advisor: Vuk Mandic, School of Physics and Astronomy "LIGO All-Sky Long-Duration Transient Search Using Deep Learning" | Eric Trempe Advisor: Tianxi Li, School of Statistics "Predicting Patient Cancer Types Through Medical Measures" |
Keith Willard Advisor: Xiaotong Shen, School of Statistics "Using BART generative synthetic data to improve BERT parsing of patient prescription instructions." | Linjun Xia Advisor: Erich Kummerfeld, Institute for Health Informatics "A Correlation and Causality Study of Student Behavioral Conditions with Health and Achievement in Hopkins public schools" | SriHarshitha Anuganti Advisor: Rui Zhang, Department of Surgery "Development of dementia in patients who underwent bariatric surgery" |
Computer Science & Data Science Graduate Student Department Head Town Hall
Please join us at the Computer Science and Data Science Graduate Student Department Head Town Hall. Light refreshments and snacks will be available.
LOCATION: 3-180 (in-person only event; no Zoom stream)
This is your chance to voice your opinion and offer critical feedback on teaching, student services, and any other items you think can be improved. Your feedback and insights are important to help us improve your graduate experience.
Please use the link below to RSVP, or provide feedback regarding your experiences in your computer science courses and within the department. Please note that you can remain anonymous to provide feedback:
Computer Science & Data Science Undergraduate Student Department Head Town Hall
Please join us at the Computer Science and Data Science Undergraduate Student Department Head Town Hall. Light refreshments and snacks will be available.
This is your chance to voice your opinion and offer critical feedback on teaching, student services, and any other items you think can be improved. Your feedback and insights are important to help us improve your graduate experience.
Please use the link below to RSVP, or provide feedback regarding your experiences in your computer science courses and within the department. Please note that you can remain anonymous to provide feedback:
Graduate Programs Online Information Session
Monday, Feb. 12, 2024, 2:30 p.m. through Monday, Feb. 12, 2024, 3:30 p.m.
Virtual meeting - RSVP online
During each session, the graduate staff will review:
- Requirements (general)
- Applying
- Prerequisite requirements
- What makes a strong applicant
- Funding
- Resources
- Common questions
- Questions from attendees
Students considering the following programs should attend:
Graduate Programs Online Information Session
Tuesday, Dec. 5, 2023, 2:30 p.m. through Tuesday, Dec. 5, 2023, 3:30 p.m.
Virtual meeting - RSVP online
During each session, the graduate staff will review:
- Requirements (general)
- Applying
- Prerequisite requirements
- What makes a strong applicant
- Funding
- Resources
- Common questions
- Questions from attendees
Students considering the following programs should attend:
Fall 2023 Data Science Poster Fair
Saturday, Nov. 18, 2023, 9 a.m. through Saturday, Nov. 18, 2023, 2:30 p.m.
The Graduate Hotel
615 Washington Ave SE
Minneapolis, MN 55414
We invite you to attend the Fall 2023 Data Science Poster Fair! This semester's event will be held in conjunction with the Department of Computer Science & Engineering's Research Showcase on Saturday, November 18 from 11:30 a.m. - 1 p.m. Learn more about the event.
As a part of their degree requirements, Data Science M.S. students conduct research under the direction of a faculty advisor culminating with a capstone project and poster presentation. Students presenting at this event will discuss details of their capstone project, including their driving question, methods, and results, and will be available to address questions and connect with guests during their time slot. Faculty from numerous departments across the University are affiliated with the data science graduate program, therefore a variety of areas are represented with each student’s capstone project.
The CS&E Research Showcase is a bi-annual event that features the collective works of students and faculty in the Department of Computer Science & Engineering. The event will feature over 60 posters, as well as a keynote addresses from Eugene Spafford, the founder and executive director of the Center for Education and Research in Information Assurance and Security (CERIAS) at Purdue University, and Ed Chi, CS&E alumni award winner and Distinguished Scientist at Google.
This event is open to the public and all interested undergraduate and graduate students, alumni, staff, faculty, and industry professionals are encouraged to attend. To let us know you'll be joining us, please fill out our RSVP form below. We ask those who plan to attend to RSVP by Friday, November 10.
Fall 2023 Posters
| Aviral Bhatnagar Advisor: Jaideep Srivastava "Human-in-the loop Approach to enhance Urban Living" | Jingran Cao Advisor: Kristin Palmsten "Managing depression during pregnancy" | Colin Ornelas Advisor: Jie Ding "Using Machine Learning Methods to Predict Quarterback Fantasy Football Scores" |
| Zhecheng Sheng Advisor: Serguei Pakhomov "Explore Gender Bias in Dementia Detection with BERT" | Jonah Shi Advisor: Sisi Ma "Applying machine learning methods to identify predictors and causes for trauma related outcomes" | Nicole Sullivan Advisor: Erich Kummerfeld "It was all YELLOW: predicting depression in teenage students using a bi-Yearly Ensemble Learner with an Optimization Workflow" |
Graduate Programs Online Information Session
Tuesday, Oct. 17, 2023, 10:30 a.m. through Tuesday, Oct. 17, 2023, 11:30 a.m.
Virtual meeting - RSVP online
During each session, the graduate staff will review:
- Requirements (general)
- Applying
- Prerequisite requirements
- What makes a strong applicant
- Funding
- Resources
- Common questions
- Questions from attendees
Students considering the following programs should attend:
Advancing Molecules and Materials via Data Science
Friday, Sept. 22, 2023, 8 a.m. through Friday, Sept. 22, 2023, 5:30 p.m.
Beacon Room (2nd floor)
University Recreation and Wellness Center
123 SE Harvard St, Minneapolis, MN 55455
Register now! (free)
Event Website
About the workshop
The goal of the workshop is to bring together experts working at the intersection of data science and materials science and explore promising data science approaches and techniques that could support major advances in materials science in the coming years. The registration is free and required. Lunch will be provided for registered attendees.
Speakers
The forum will include sessions and panel discussions led by experts from UMN, MIT, UIUC, UT Dallas, Argonne, NIST, Google, and NSF. The full schedule of the workshop can be found on the workshop website.
Poster session
Students and postdocs are encouraged to attend and to make contributions in the form of poster presentations (please submit an abstract on the registration form).
Organizing committee
Vuk Mandic, Chris Bartel, Sapna Sarupria, Ellad Tadmor, Ke Wang
For more information, please reach out to Prof. Vuk Mandic at vuk@umn.edu.
Graduate Programs Online Information Session
Tuesday, July 11, 2023, 2 p.m. through Tuesday, July 11, 2023, 3 p.m.
Virtual meeting - RSVP online
During each session, the graduate staff will review:
- Requirements (general)
- Applying
- Prerequisite requirements
- What makes a strong applicant
- Funding
- Resources
- Common questions
- Questions from attendees
Students considering the following programs should attend:
CS&E Undergraduate Student Graduation Event
Thursday, May 11, 2023, 2 p.m. through Thursday, May 11, 2023, 4 p.m.
RSVP Link
Coffman Memorial Union - Great Hall
RSVP Link
Thursday, May 11th, 2:00 pm - 4:00 pm
Coffman Memorial Union - Great Hall
All graduating undergraduate students and their families and friends are invited to join the Department of Computer Science & Engineering in celebrating their accomplishments. This is a casual event to mingle with other graduates, take photos, and listen to speakers. There will be light snacks and beverages at the event. This does not include a ceremony where names will be read and a stage crossing takes place.
College/University Commencement - Questions about the University events (commencement@umn.edu)
Undergraduate Student Conferral Ceremony
Saturday, May 13, 2023 - 1 p.m.
Huntington Bank Stadium
Stage Crossings
Thursday, May 11–Saturday, May 13, 2023
University of Minnesota Field House
Registration for the Conferral Ceremonies and Stage Crossings is open until April 10, 11:59 p.m. Central Time.
Graduates should receive emails from Marching Order, our University vendor. If you have any technical issues with the registration site for stage crossings, please reach out to Marching Order tech help.
Graduates will have the opportunity to sign up to cross a stage while their guests have a front-row viewing experience to cheer and take photos and video.
Graduates will choose a specific day and time where they will have their name announced, cross the stage, and be congratulated by a University leader. Graduates may choose to coordinate with their friends and colleagues to cross the stage sequentially. Professional photographers will also be available to take photos.
Information on the CSE Commencement
Information on the CLA Commencement
GradFest
Wednesday, March 22 and Thursday, March 23, 2023
10 a.m. – 5 p.m. each day
Coffman Memorial Union, Great Hall
Everything graduates need—all in one place.
Diploma Covers will be distributed at the respective Huntington Bank Commencement event for all students in all colleges. For students that are not attending the general commencement and wish to pick up a cover from a main office, please contact CSE Student Services.
Distinction Cords will be available to undergraduate students with qualifying GPAs. Contact CSE or CLA Student Services for more details.