CMS Meeting of the Minds

The CMS Meeting of the Minds (MotM) is our department's annual showcase held in conjunction with Caltech Alumni Reunion Weekend. The Caltech CMS Community, from undergrads to faculty, present their research through keynote talks, demos, and a poster session. Several hundred alums and CMS Partner Program members attend, so it’s a terrific opportunity to get to know both our department and the broader Caltech Community.

Details for the 2018 Meeting of the Minds will be posted here in early Spring. Stay tuned!

Recap: CMS Meeting of the Minds 2017

For a recap of MotM 2016, click here.

Poster/Demo Presentations

Presenter(s) Topic Research Category
Amulya Mohan Improving the lower bound on the permanent determinant problem Algorithms and Complexity Theory
Songshan (Bella) Guo A homogeneous multilinear polynomial and its separation consequences Algorithms and Complexity Theory
Ellen Feldman, Joel Burdick Feature Selection for Learning Performance Models of Electrical Stimulation for Spinal Cord Injury Computational Neuroscience and Neural Engineering
Zhongzheng Fu Single-neuron mechanisms of performance monitoring in human medial frontal cortex Computational Neuroscience and Neural Engineering
John Pang, Zhaojian Wang, Feng Liu, Steven Low Distributed Frequency Control Energy Management and Power Systems
Pengcheng You, John Pang, Minghua Chen, Steven Low, Youxian Sun Schedule of EV Battery Swapping Energy Management and Power Systems
Linqi Guo, Zach Lee, Niangjun Chen, Yorie Nakahira Adaptive Charging Network Energy Management and Power Systems
Yujie Tang Real-time Optimal Power Flow Energy Management and Power Systems
Rand Lee, Zach Lee PowerFlex Simulation Engine Energy Management and Power Systems
Albert Chern Inside Fluids: Clebsch Maps for Visualization and Processing Graphics and Geometry
Mark Gillespie Computing Chromosome Embedding From Contact Frequencies Graphics and Geometry
Robert Johnson Formalization and Limits of DNA strand displacement Molecular Programming and Synthetic Biology
Andrés Ortiz-Muñoz The Complexity of Distributions Generated by Chemical Reaction Networks Molecular Programming and Synthetic Biology
Chris Thachuk Robust molecular programming via DNA strand displacement Molecular Programming and Synthetic Biology
William Poole Chemical Boltzmann Machines Molecular Programming and Synthetic Biology
Frits Dannenberg Studying DNA hybridization with the Multistrand nucleic acid simulator Molecular Programming and Synthetic Biology
Stefan Badelt A general-purpose CRN-to-DSD compiler with formal verification, optimization, and simulation capabilities. Molecular Programming and Synthetic Biology
Ethan Pronovost Functional Programming in Relational Databases Networked and Distributed Systems
Matt Kempster Graphospasm: A Graph Database So Fast, You'll Get Writer's Cramp Networked and Distributed Systems
Emily Mazo TrickleDB: A Streaming SQL Relational Database Networked and Distributed Systems
Manasa Ashok, Nikita Sirohi EduShare (Networks) Networked and Distributed Systems
Vinci Chen, Sathwick Pathireddy, Ruthwick Pathireddy EduShare (Database) Networked and Distributed Systems
Gavy Aggarwal, Abirami Kurinchi-Vendhan, Kabir Brar, Annie Wang Microlocation Networked and Distributed Systems
Tianlei Sun, Jian Zhu, Dong Liang, Hongnian Yu Alternative in food delivery industry Networked and Distributed Systems
Francesco Macagno, Carly Robison Essence Networked and Distributed Systems
Rahul Bachal Assemble Software Networked and Distributed Systems
David Pena Wi-Fi USB Data Storage for iOS Devices Networked and Distributed Systems
Noah Nelson CS 11 iOS/Swift Track Networked and Distributed Systems
Bobby Abrahamson Implementing Server/Client concurrency in NanoDB Networked and Distributed Systems
Ethan Lo, Spencer Strumwasser DocuDB: A Document-Oriented Database Networked and Distributed Systems
Suraj Nair Real Time Earthquake Classification Networked and Distributed Systems
Xiaoqi Ren TBD Networked and Distributed Systems
Jennifer Lin, Ji Soo Shin Eudyptula Challenge for Linux Kernel Networked and Distributed Systems
Megan Durney, Kyle Seipp, Tyler Port UGCS: Undergraduate Computer Science Networked and Distributed Systems
Yu Su, Anatoly Khina, Babak Hassibi, Ashish Khisti Real-Time Streaming with Feedback Networked and Distributed Systems
Evan Davis Modernizing an Instructional Operating System Networked and Distributed Systems
Sean Symon, Nicolas Dovetta, Denis Sipp, Peter J. Schmid, Beverley J. McKeon Data assimilation of mean velocity from 2D PIV measurements of flow over an idealized airfoil. Optimization and Control
Scott Dawson Constrained Dynamic Mode Decomposition Optimization and Control
Kevin Rosenberg, Beverley McKeon Nonlinear forcing in the resolvent analysis of wall-turbulence Optimization and Control
Niangjun Chen Using predictions in online algorithms Optimization and Control
Navid Azizan-Ruhi, Babak Hassibi Distributed Solution of Large-Scale Linear Systems via Accelerated Projection-Based Consensus Optimization and Control
Jalex Stark Rigidity of the Magic Square Game with Arbitrary Alphabet Quantum Information and Computation
Andrea Coladangelo, Jalex Stark Separation of finite and infinite-dimensional quantum correlations, with infinite question or answer sets Quantum Information and Computation
Nick Hunter-Jones A Quantum Information Theoretic view of Quantum Chaos Quantum Information and Computation
Eric Ambrose, Huihua Zhao, Aaron Ames Preliminary Results on Energy Efficient 3D Prosthetic Walking with a Powered Compliant Transfemoral Prosthesis Robotics and Autonomous Control
Sumanth Dathathri, Richard Murray Improvements for GR(1) Synthesis Robotics and Autonomous Control
Wenlong Ma, Eric Ambrose, Aaron Ames, Shishir Nadubettu Yadukumar Bipedal Robotics Experiments: From Walking to Running Robotics and Autonomous Control
Joshua Chen, Robert Eng, Rahul Bachal, Sandra Ning, Anne Zhou Legal Access for All! Social and Information Sciences
Brent Cahill, Anusha Sinha, Robert Eng, Sierra Lincoln Detection of Collapsed Buildings for Emergeny Responders Social and Information Sciences
Michael Miller Predicate Move-Around in SQL Databases Social and Information Sciences
Kyle Seipp, Jacob Harmon Needlestack (Database) Social and Information Sciences
Mizing Paloian Needlestack (Machine Learning) Social and Information Sciences
Jonathan Joo, Suna Kim, Anne Chen Crowdsourcing Parking Data Social and Information Sciences
Rachel Cummings Five Posters (Various) Social and Information Sciences
Juba Ziani, Rachel Cummings, Katrina Ligett, Stewen Wu, Aaron Roth, Venkat Chandrasekaran Accuracy for sale: aggregating data with a variance constraint Social and Information Sciences
Juba Ziani, Venkat Chandrasekaran, Katrina Ligett Efficiently characterizing games consistent with perturbed equilibrium observations Social and Information Sciences
Jaden Geller, Archana Chintalacharuvu, RJ Antonello Needlestack (Crawler) Social and Information Sciences
Navid Azizan-Ruhi, Yu Su, Krishnamurthy Dvijotham, Adam Wierman Efficient Pricing in Markets with Non-Convex Costs Social and Information Sciences
Katherine Guo, Tara Shankar, Jordan Bonilla Learning Customer Interactions from Social Enterprise Data (Data) Statistics and Machine Learning
Eve Yuan, Michelle Wang, Masaharu Ono Learning Customer Interactions from Social Enterprise Data (Machine Learning) Statistics and Machine Learning
Christopher Haack Predicting Soccer Games With Artificial Intelligence Statistics and Machine Learning
Claire Goeckner-Wald, Brian Lee, Kevin Shu Experimenting in Text Generation Using Deep Neural Networks Statistics and Machine Learning
Andrew Wang, Steven Brotz, David Kawashima Predicting Flight Delays and Cancellations Statistics and Machine Learning
Connor Crowley, Ross Koval, Kalyn Chang Statistical Analysis of Carpooling Data Statistics and Machine Learning
Shiwei Lan, Andrew Stuart Geometric MCMC for Infinite-Dimensional Inverse Problems Statistics and Machine Learning
Jialin Song, Ravi Lanka, Yisong Yue, Masahiro Ono Machine Learning based Approach for a Scalable Risk-Aware Path Planning Statistics and Machine Learning
Mason McGill, Pietro Perona Deciding How to Decide: Dynamic Routing in Artificial Neural Networks Statistics and Machine Learning
Forough Arabshahi, Anima Anandkumar Spectral Methods for Correlated Topic Models Statistics and Machine Learning
Matt Dunlop, Dejan Slepcev, Andrew Stuart, Matthew Thorpe PDEs from Large Data Limits of Graph-Based Learning Statistics and Machine Learning
Krzysztof Chalupka Causal Feature Learning Statistics and Machine Learning
Audrey Huang, Rohan Batra, Audrey Huang, Nand Kishore Interactive Machine Teaching Using Similarity Statistics and Machine Learning
Hoang Le Coordinated Multi-agent Imitation Learning Statistics and Machine Learning
Shyam Saladi, Nauman Javed, Samuel J. Schulte, Alexander E. Chu, Nadine C. Bradbury, Axel Müller, and William M. Clemons, Jr. Statistical Approaches to Predicting Membrane Protein Expression Statistics and Machine Learning
Aadith Moorthy ConserWater: Irrigation AI for Every Farmer Statistics and Machine Learning