Michigan State University - East Lansing, MI
Fall 2015 - Spring 2021 (expected)
Dual Ph.D. in Computer Science and Ecology, Evolutionary Biology, & Behavior
Advisor: Charles Ofria
Mississippi State University - Starkville, MS
Graduated Fall 2015
B.S. in Computer Science (Summa Cum Laude)
Advisor: Cindy Bethel
Digital Evolution Laboratory, Michigan State University - East Lansing, MI
Graduate student, advisor(s): Charles Ofria
Fall 2015 - present
Center for Advanced Vehicular Systems (CAVS), Mississippi State University - Starkville, MS
Undergraduate research assistant, advisor(s): Cindy Bethel and Daniel Carruth
Spring 2014 - Summer 2015
As a member of the Ground Vehicles Virtual Testbed Environment Project team,
I helped to integrate the ANVEL Ground Vehicle Simulator with the Robot Operating System (ROS).
This work enabled researchers to more easily perform human-robot interaction studies
using the ANVEL platform.
Social, Therapeutic, and Robotic Systems (STaRS) Laboratory, Mississippi State University - Starkville, MS
Undergraduate research assistant, advisor(s): Cindy Bethel
Fall 2013 - Summer 2015
I worked as a project lead on the Robot Intent and Control Project where we
studied the effectiveness of different human-robot interfaces for allowing
autonomous robots to communicate behavioral intentions to supervisory human
operators who could optionally override the robot's behavior when necessary.
Additionally, I assisted with other human-participant studies being run in the
lab.
Laboratory for Autonomous Systems Research (LASR), Naval Research Laboratory - Washington, DC
Intern, advisor(s): Greg Trafton and Laura Hiatt
Summer 2014
I worked with cognitive scientists and image processing experts to research
the effects of integrating contextual information (generated by a model of how
humans learn associations between concepts) into a robot's object recognition
system.
Jet Propulsion Laboratory (JPL) - Pasadena, CA
Intern, advisor(s): William R. Johnson
Summer 2012
I developed software for a team of optics engineers and geoscientists.
I focused on modernizing their instrument calibration software for their
Near-Nulling Radiometers, enabling the team to perform more efficient and
reliable calibrations.
Physics Department, Mississippi State University - Starkville, MS
Undergraduate research assistant, advisor(s): Angelle Tanner
Fall 2011 - Spring 2012
I developed tools to automate data retrieval from the NASA Star and Exoplanet
Database.
Mingfei Shi*, Kaixun Hua*, Jiayang Ren, Yankai Cao (2022).
A Scalable deterministic global optimization algorithm for clustering problems.
In International Conference on Machine Learning (pp. 4391-4401). PMLR.
ICML 2022
Jiayang Ren*, Kaixun Hua*, Yankai Cao (2022).
Global Optimal K-Medoids Clustering of One Million Samples.
Advances in Neural Information Processing Systems, 35, 982-994.
NeurIPS 2022
Kaixun Hua, Jiayang Ren, Yankai Cao (2022).
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree.
Advances in Neural Information Processing Systems, 35, 8347-8359.
NeurIPS 2022
Jiayang Ren, Ningning You, Kaixun Hua, Chaojie Ji, Yankai Cao (2022).
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples.
arXiv preprint arXiv:2301.00061.
Under review for Management Science
Kaixun Hua, Mingfei Shi, Yankai Cao (2021).
A Scalable deterministic global optimization algorithm for clustering problems.
In International Conference on Machine Learning (pp. 4391-4401). PMLR.
ICML 2021
Ziyao Xu, Jijian Lian, Lingling Bin, Kaixun Hua, Kui Xu, Hoi Yi Chan (2019).
Water Price Prediction for Increasing Market Efficiency Using Random Forest Regression: A Case Study in the Western United States.
Water.
Dan A. Simovici, Kaixun Hua (2019).
Data ultrametricity and clusterability.
In Journal of Physics: Conference Series (Vol. 1334, No. 1, p. 012002). IOP Publishing.
Kaixun Hua, Dan A. Simovici (2018).
Dual Criteria Determination of the Number of Clusters in Data.
In 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC ‘18), Timisoara, Romania, pp. 201-208.
Dan A. Simovici, Rosanne Vetro, Kaixun Hua (2017).
Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining
In: Guillet F., Pinaud B., Venturini G. (eds)
Advances in Knowledge Discovery and Management. Studies in Computational Intelligence, vol 665.
Springer, Cham.
Irina Scheffner, Kaixun Hua, Dan Simovici, Tanja Abeling, Hermann G. Haller, & Wilfried Gwinner (2016).
Prediction of Patient Survival After Kidney Transplantation: Construction, Validation and Evaluation of Decision Models Using Data Mining Approaches.
In American Journal OF Transplantation (Vol. 16, pp. 572-573). 111 River St, Hoboken 07030-5774, NJ USA: WILEY-BLACKWELL.
Kaixun Hua, Dan A. Simovici (2016).
Long-lead term precipitation forecasting by hierarchical clustering-based bayesian structural vector autoregression.
2016 IEEE 13th International Conference on Networking, Sensing, and Control (ICNSC ‘16), Mexico City, Mexico, pp. 1-6.
Evolving Signal-driven Digital Organisms with SignalGP
By Alexander Lalejini, Matthew Andres Moreno, and Charles Ofria
Presented at Evolution of Complex Life (ECLife).
May 15, 2019.
Atlanta, Georgia.
Abstract.
Slides.
Random Subsampling Improves Performance in Lexicase Selection
By Jose Hernandez, Alexander Lalejini (speaker), Emily Dolson, Charles Ofria
Presented at The Genetic and Evolutionary Computation Conference (GECCO).
July 12, 2019.
Prague, Czech Republic.
Slides.
Data Standards for Artificial Life Software
By Alexander Lalejini, Emily Dolson, Clifford Bohm, Austin J. Ferguson, David P. Parsons, Penelope Faulkner Rainford, Paul Richmond, and Charles Ofria
Presented at The 2019 Conference on Artificial Life.
July 29, 2019.
Newcastle upon Tyne, England.
Slides.
Evolving reactive agents with SignalGP
By Alexander Lalejini and Charles Ofria
Presented at 2018 Conference on Artificial Life (ALIFE).
July 26, 2018.
Tokyo, Japan.
Slides.
Evolving event-driven programs with SignalGP
By Alexander Lalejini and Charles Ofria
Presented at 2018 Genetic and Evolutionary Computation Conference (GECCO).
July 17, 2018.
Kyoto, Japan.
Slides.
What else is in an evolved name? Exploring evolvable specificity with SignalGP
By Alexander Lalejini and Charles Ofria
Presented at Genetic Programming Theory and Practice XVI.
May 18, 2018.
Ann Arbor, MI (USA).
Slides.
Evolving event-driven programs with SignalGP
By Alexander Lalejini
Presented at weekly BEACON Friday seminar.
April 6, 2018.
East Lansing, MI (USA).
Gene Duplications Drive the Evolution of Complex Traits and Regulation
By Alexander Lalejini, Michael J. Wiser, and Charles Ofria
Presented at 14th European Conference on Artificial Life (ECAL).
September 5, 2017.
Lyon, France.
Slides.
Gene Duplications Drive the Evolution of Complex Traits and Regulation
By Alexander Lalejini, Michael J. Wiser, and Charles Ofria
Presented at 2017 Annual BEACON Congress.
August 4, 2017.
East Lansing, MI (USA).
Slides.
The Evolutionary Origins of Phenotypic Plasticity
By Alexander Lalejini and Charles Ofria
Presented at 2016 Annual BEACON Congress.
August 11, 2016.
East Lansing, MI (USA).
Slides.
The Evolutionary Origins of Phenotypic Plasticity
By Alexander Lalejini and Charles Ofria
Presented at Fifteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE).
July 7, 2016.
Cancun, Mexico.
Slides.
Evaluation of supervisory control interfaces for mobile robot integration with tactical teams
By Alexander Lalejini, Dexter Duckworth, Richard Sween, Cindy L. Bethel, and Daniel W. Carruth
Presented at 2014 IEEE Workshop on Advanced Robotics and Its Social Impacts (ARSO).
September 11, 2014.
Evanston, IL (USA).
Tag-accessed Memory
By Alexander Lalejini and Charles Ofria
Presented at The Genetic and Evolutionary Computation Conference (GECCO).
July 15, 2019.
Prague, Czech Republic.
Poster.
SignalGP
By Alexander Lalejini and Charles Ofria
Presented at Engineering Graduate Research Symposium.
March 29, 2018.
Michigan State University, East Lansing, MI.
Poster.
Evolving event-driven agents with SignalGP
By Alexander Lalejini and Charles Ofria
Presented at 2018 Annual BEACON Congress.
August 8, 2018.
East Lansing, MI (USA).
Poster.
The Evolutionary Origins of Phenotypic Plasticity
By Alexander Lalejini and Charles Ofria
Presented at Engineering Graduate Research Symposium.
March 29, 2016.
Michigan State University, East Lansing, MI.
Poster.
Robot Control
By Alexander Lalejini and Cindy Bethel
Presented at Bagley College of Engineering Undergraduate Poster Competition.
April 24, 2014.
Mississippi State University, Starkville, MS.
Co-Organizer, Developing Software Standards for the Artificial Life Community
- July, 2018; August, 2018
2018 Conference on Artificial Life (ALIFE); 2018 BEACON Congress
This workshop aimed to start a conversation about identifying best practices
and developing data and tool standards amongst individuals who design, develop,
and use a wide range of artificial life systems, including artificial chemistries,
abstract ecologies, evolutionary systems, and a range of other communities
who express interest.
Honorable Mention, Engineering Graduate Research Symposium Recognition for Outstanding Research
Awarded - Spring 2018
Awarded for my poster presentation titled, SignalGP
National Science Foundation (NSF) Graduate Research Fellowship
Awarded - Spring 2017
Chosen as 1 of 2,000 recipients out of over 13,000 applicants.
Best Student Paper at the 2016 International Conference on the Synthesis and Simulation of Living Systems (ALIFE)
Awarded - Summer 2016
Awarded for our paper titled, The Evolutionary Origins of Phenotypic Plasticity
Honorable Mention, Engineering Graduate Research Symposium Recognition for Outstanding Research
Awarded - Spring 2016
Awarded for my poster presentation titled, The Evolutionary Origins of Phenotypic Plasticity
BEACON Top-up Fellowship
Awarded - Fall 2015
Awarded by BEACON Center for Evolution in Action to incoming graduate students.
University Distinguished Fellowship
Awarded - Fall 2015
Awarded by Michigan State University to 20 out of approximately 500 incoming Ph.D. students.
Stephen D. Lee Scholar
Awarded - Spring 2015
This designation is reserved for students who graduate with a perfect 4.0 GPA
in all courses attempted while earning a bachelor's degree at Mississippi State
University.
James Worth Bagley College of Engineering Student Hall of Fame
Awarded - Spring 2015
Awarded by the Bagley College of Engineering at Mississippi State University to
students who have demonstrated superior academic achievement, leadership, service,
and character.
Computing Research Association (CRA) Outstanding Undergraduate Male Researcher, Honorable Mention
Awarded - Spring 2015
Reviewer
European Conference on Artificial Life (ECAL) 2017,
Genetic and Evolutionary Computation Conference (GECCO) 2018, and
Artificial Life Conference (ALIFE) 2018, BEACON funding requests (2016, 2017,
2018, & 2019)
Mentor, MSU Summer Research Opportunities Program (SROP)
Summer 2016, summer 2017, summer 2018, and summer 2019
I worked with undergraduate students to choose, perform, and present summer
research.
Volunteer, BEACON Outreach Activities
Fall 2015 - present
Regularly participate in elementary school science nights, teaching concepts
related to evolutionary biology to students. I've also participated in various
other outreach events as a BEACON affiliate (e.g., MSU Darwin Day, MSU Science Festival).
Volunteer, Poolside judge for the National SeaPerch Challenge
May 17, 2014
Volunteer, Monthly SWAT training exercises
Fall 2013 - Spring 2015
As a member of the STaRS Lab, I assisted with monthly training exercises with
the Starkville, MS Police Department SWAT team. Our lab worked to integrate
robots into the team's slow and methodical search of large buildings training sessions.
During these training sessions, I operated robots and role-played as a survivor
in need of rescue.