HotCSE Seminar is a academic seminar to bring PhD students in Computational Science & Engineering together to discuss interesting topics. The topics consist of high performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.

The talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.

Currently the talks are sponsored by CSE - the Computational Science & Engineering school. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.

The seminar is held on Wednesday 12:00pm-1:00pm in CODA 1315. Anyone interested to give a talk and participate is welcome!

All talks are free and open to the public. Besides, LUNCH is provided!!!

Click on the speakers to access abstracts.

Fall 2021 Speakers

Oct 13

A High-Order Accurate Multi-component and Multi-phase Fluid Flow Solver
Anand Radhakrishnan
Advisor: Prof. Spencer Bryngelson

Spring 2021 Speakers

Mar 24

Dense Semiring Linear Algebra on Modern CUDA Hardware
Vijay Thakkar
Advisor: Prof. Richard Vuduc

Mar 24

Adjoint-Based Structural Optimization of Aircraft Wings Subjected to Dynamic Loads
Darshan Sarojini
Advisor: Prof. Dimitri Mavris

Fall 2020 Speakers

Nov 25

A Framework for Differentiable Discovery of Graph Algorithms
Xinshi Chen
Advisor: Prof. Le Song

Nov 25

Data-Driven Approach using Machine Learning for Real-Time Flight Path Optimization
Junghyun Kim
Advisor: Prof. Dimitri Marvis

Nov 4

ReGAL: Rule-guided Active Learning for Deep Text Classification
David Kartchner
Advisor: Prof. Cassie Mitchell

Oct 21

Online Model Swapping in Architectural Simulation
Patrick Lavin
Advisors: Prof. Richard Vuduc and Dr. Jeffrey Young

Oct 21

Distributed-Memory Parallel Symmetric Nonnegative Matrix Factorization
Srinivas Eswar
Advisors: Prof. Richard Vuduc and Prof. Haesun Park

Sep 23

A Parallel Framework for Constraint-Based Bayesian Network Learning
Ankit Srivastava
Advisor: Prof. Srinivas Aluru

Spring 2020 Speakers

Feb 19

Challenges in Distributed Organisational Structures in a Highly Parallel Framework for Numerical Computations
Christoph Ertl
Advisors: Prof. Ernst Rank and Prof. Ralf-Peter Mundani

Fall 2019 Speakers

Dec 04

On Maximum Variance Embedding
Majid Farhadi
Advisor: Prof. Prasad Tetali

Nov 20

Serverless HPC in the cloud: A seismic imaging case study
Philipp Witte
Advisor: Prof. Felix Herrmann

Nov 06

Learned imaging with constraints and uncertainty quantification
Ali Siahkoohi
Advisor: Prof. Felix Herrmann

Oct 09

GLAD: Learning Sparse Graph Recovery
Harsh Shrivastava
Advisor: Prof. Srinivas Aluru

Spring 2019 Speakers

Apr 10

Computing Common Neighbors: Approaches and Optimizations
Jing An
Advisor: Prof. David Bader

Mar 27

On the complexity of sequence to graph alignment
Haowen Zhang
Advisor: Prof. Srinivas Aluru

Mar 13

Meta Particle Flow for Sequential Bayesian Inference
Xinshi Chen
Advisor: Prof. Le Song

Feb 27

AI-infused Security: Robust Defense by Bridging Theory and Practice
Shang-Tse Chen
Advisor: Prof. Polo Chau

Feb 13

Human-Centered AI through Scalable Visual Data Analytics
Minsuk Kahng
Advisor: Prof. Polo Chau

Fall 2018 Speakers

Nov 07

Domain-specific abstractions for large-scale geophysical inverse-problems
Mathias Louboutin and Philipp Witte
Advisor: Prof. Felix J. Herrmann

Spring 2018 Speakers

Mar 28

A New Memory Benchmark for Modeling Irregular Applications
Patrick Lavin
Advisor: Prof. Richard Vuduc

Fall 2017 Speakers

Nov 29

Solving Markov Decision Processes via Dual Embedding
Bo Dai
Advisor: Prof. Le Song

Nov 08

Smoother Stream Processing Through Smarter Backpressure
Xin Chen
Advisor: Prof. Richard Vuduc

Nov 08

Learning Combinatorial Optimization Algorithms over Graphs
Hanjun Dai
Advisor: Prof. Le Song

Oct 04

Exploration of Dynamic Job Scheduling with Network Simulations
Ankit Srivastava
Advisor: Prof. Srinivas Aluru

Oct 04

Finding a k-Truss: Fast and Scalable Subgraph Isomorphism using Dynamic Graph Techniques
James Fox
Advisor: Prof. David Bader

Sep 20

ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
Minsuk (Brian) Kahng
Advisor: Prof. Polo Chau

Spring 2017 Speakers

Apr 12

A fast approximate algorithm for mapping long reads to large reference databases
Chirag Jain
Advisor: Prof. Srinivas Aluru

Apr 12

Optimization and intervention in point processes networks with application to social campaigning and fake news mitigation
Mehrdad Farajtabar
Advisor: Prof. Hongyuan Zha and Prof. Le Song

Apr 05

Graph Ranking Guarantees for Numerical Approximations to Katz Centrality
Eisha Nathan
Advisor: Prof. David Bader

Apr 05

Scalable Distributed Indexing of Unstructured Texts
Patrick Flick
Advisor: Prof. Srinivas Aluru

Mar 08

Polyadic Regression and its Application to Chemogenomics
Ioakeim Perros
Advisor: Prof. Jimeng Sun

Mar 08

Learning from Conditional Distributions via Dual Embeddings
Bo Dai
Advisor: Prof. Le Song

Feb 22

Accelerating Inference in Fully-Connected Layers
Marat Dukhan
Advisor: Prof. Richard Vuduc

Feb 22

Programming Techniques for the Automata Processor
Ankit Srivastava
Advisor: Prof. Srinivas Aluru

Fall 2016 Speakers

Nov 30

Simulating Vehicle Power Consumption, Travel Time, and Routes in Real-Time
Philip Pecher
Advisor: Prof. Richard Fujimoto and Prof. Michael Hunter

Oct 19

Effective utilization of paired-reads for genome assembly
Rahul Nihalani
Advisor: Prof. Srinivas Aluru

Oct 12

A Practical Randomized CP Tensor Decomposition
Casey Battaglino
Advisor: Prof. Richard Vuduc

Sep 28

An Adaptive Parallel Algorithm for Computing Connectivity
Chirag Jain
Advisor: Prof. Srinivas Aluru

Sep 14

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Edward Choi
Advisor: Prof. Jimeng Sun

Spring 2016 Speakers

Apr 13

Communication Efficient Distributed Agnostic Boosting
Shang-Tse (Shang) Chen
Advisor: Prof. Polo Chau and Prof. Nina Balcan

Mar 09

Med2Vec: Multi-layer Representation Learning for Medical Concepts
Edward Choi
Advisor: Prof. Jimeng Sun

Feb 24

Cloud-based Predictive Modeling System and its Application to Asthma Readmission Prediction
Robert Chen
Advisor: Prof. Jimeng Sun

Feb 10

Learning to Branch in Mixed Integer Programming
Elias Khalil
Advisor: Prof. Bistra Dilkina

Feb 03

Hybrid Dynamic Trees for Extreme-Resolution 3D Sparse Data Modeling
Mohammad M Hossain
Advisor: Prof. Richard Vuduc and Prof Thomas Kurfess (ME)

Fall 2015 Speakers

Nov 04

An Input-Adaptive and In-Place Approach to Dense Tensor-Times-Matrix Multiply
Jiajia Li
Advisor: Prof. Richard Vuduc

Oct 28

Parallel Distributed Memory Construction of Suffix- and Longest-Common-Prefix Arrays
Patrick Flick
Advisor: Prof. Srinivas Aluru

Oct 07

A Parallel Connectivity Algorithm for de-Bruijn Graphs in Metagenomic Applications
Chirag Jain
Advisor: Prof. Srinivas Aluru

Sep 23

Sparse Hierarchical Tucker Factorization and its Application to Healthcare
Ioakeim (Kimis) Perros
Advisor: Prof. Jimeng Sun

Sep 23

Shaping Social Activity by Incentivizing Users
Mehrdad Farajtabar
Advisor: Prof. Hongyuan Zha and Prof. Le Song

Spring 2015 Speakers

Apr 20

Machine learning for medicine: towards efficient, optimized healthcare delivery
Robert Chen
Advisor: Prof. Jimeng Sun

Apr 06

Dual-tree k-means with bounded single-iteration runtime
Ryan Curtin
Advisor: Prof. Richard Vuduc

Mar 23

Strange encounters of the Non-symmetric kind
Aftab Patel
Advisor: Prof. Edmond Chow

Feb 09

Scalable Diffusion-Aware Optimization of Network Topology
Elias Khalil
Advisor: Prof. Bistra Dilkina and Prof. Le Song

Fall 2014 Speakers

Aug 25

Supercomputing Experience on Tianhe-2
Xing Liu
Advisor: Prof. Edmond Chow

Sep 22

Integrative Parallel Programming in HPC
Victor Eijkhout
Texas Advanced Computing Center

Spring 2014 Speakers

Apr 21

Local Collaborative Ranking (Best Student Paper in WWW2014)
Seungyeon Kim
Advisor: Prof. Guy Lebanon

Apr 7

My experiments with NMF applications
Ramakrishnan (Ramki) Kannan
Advisor: Prof. Haesun Park

Mar 10

Fooling the Masses with Performance Results: Old Classics & Some New Ideas
Jee Choi
Advisor: Prof. Richard Vuduc

Feb 24

Streaming Graph Analytics for Real-world problems
James Fairbanks
Advisor: Prof. David Bader

Feb 10

Automating the Actions of Dense Linear Algebra Experts
Bryan Marker
Ph.D. candidate in The University of Texas at Austin

Jan 27

Solving problems in computational biology using the Micron Automata Processor
Indranil Roy
Advisor: Prof. Srinivas Aluru

Fall 2013 Speakers

Nov 25

Influence Estimation in Continuous-time Diffusion Networks
Nan Du
Advisor: Prof. Le Song

Nov 11

Joining Forces from Data Mining and Visual Analytics for Big Data
Jaegul-Choo
Advisor: Prof. Haesun Park

Oct 21

Self-stabilizing iterative solvers
Piyush Sao
Advisor: Prof. Richard Vuduc

Sep 30

New Algorithms for Vector Elementary Functions
Marat Dukhan
Advisor: Prof. Richard Vuduc

Sep 09

At the Intersection of Data and HPC
Da Kuang
Advisor: Prof. Haesun Park

Organization

This seminar is organized by Students' Association of the Computational Science & Engineering, College of Computing.

Organizing Committee: Haowen Zhang, Srinivas Eswar, Jinwoo Go and Siddharth Biswal.

Previous Organizing Committee: Patrick Flick, Elias Khalil, Jiajia Li, and Deanna Richards;
Ramakrishnan Kannan, James Fairbanks, and Mimi Haley.

Contact Us

Please contact HotCSE team

, if you'd like to give a talk or have questions about this website.