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Theodore P. Pavlic
Associate Professor, School of Computing and Augmented Intelligence / School of Life Sciences, Arizona State University
Joined
July 2019
Names
Theodore P. Pavlic
(Preferred)
,
Ted Pavlic
,
Theodore Paul Pavlic
Emails
****@asu.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Semantic Scholar
Career & Education History
Associate Professor
School of Computing and Augmented Intelligence / School of Life Sciences,
Arizona State University
(asu.edu)
2022
–
Present
Assistant Professor
School of Computing and Augmented Intelligence / School of Sustainability / School of Complex Adaptive Systems,
Arizona State University
(asu.edu)
2015
–
2022
Researcher
School of Life Sciences,
Arizona State University
(asu.edu)
2014
–
2015
Postdoc
School of Life Sciences,
Arizona State University
(asu.edu)
2012
–
2014
Postdoc
Department of Computer Science and Engineering,
Ohio State University, Columbus
(osu.edu)
2010
–
2012
PhD student
Department of Electrical and Computer Engineering,
Ohio State University, Columbus
(osu.edu)
2007
–
2010
MS student
Department of Electrical and Computer Engineering,
Ohio State University, Columbus
(osu.edu)
2004
–
2007
Undergrad student
Department of Electrical and Computer Engineering,
Ohio State University, Columbus
(osu.edu)
1999
–
2004
Advisors, Relations & Conflicts
PhD Advisor
Kevin M. Passino
Present
PhD Advisee
Taeyeong Choi
Present
Postdoc Advisor
Paul. A. G. Sivilotti
Present
Postdoc Advisor
Bruce W. Weide
Present
PhD Advisee
Jinyung Hong
Present
PhD Advisee
Albert Chu
Present
PhD Advisee
Joshua Elkins
Present
PhD Advisee
Xin Su
Present
PhD Advisee
Colin Lynch
Present
PhD Advisee
Andrew Burchill
Present
PhD Advisee
Elena Oikonomou
Present
PhD Advisee
Keun Hee Park
Present
Postdoc Advisee
Gabriele Valentini
Present
Postdoc Advisee
Kaitlin Baudier
Present
Expertise
deep learning
Present
collective behavior
Present
animal behavior
Present
biomimicry
Present
bio-inspiration
Present
cognitive science
Present
neuroscience
Present
simulation
Present
computational neuroscience
Present
hybrid systems
Present
cyber-physical systems
Present
behavioral ecology
Present
machine learning
Present
artificial intelligence
Present
stochastic simulation
Present
bio-inspired design
Present
swarm intelligence
Present
complex systems
Present
complex adaptive systems
Present
autonomous systems
Present
robotics
Present
decision making
Present
Publications
Beyond tracking: using deep learning to discover novel interactions in biological swarms
Taeyeong Choi
,
Benjamin Pyenson
,
Juergen Liebig
,
Theodore P. Pavlic
2022 (modified: 30 Sept 2022)
Artif. Life Robotics 2022
Readers:
Everyone
Multi-level instrumentation of bivouac thermoregulation: current methods and future directions
Kaitlin M. Baudier
,
Theodore P. Pavlic
2022 (modified: 30 Sept 2022)
Artif. Life Robotics 2022
Readers:
Everyone
Learning to modulate random weights can induce task-specific contexts for economical meta and continual learning
Jinyung Hong
,
Theodore P. Pavlic
2022 (modified: 30 Sept 2022)
CoRR 2022
Readers:
Everyone
CHARTOPOLIS: A Small-Scale Labor-art-ory for Research and Reflection on Autonomous Vehicles, Human-Robot Interaction, and Sociotechnical Imaginaries
Sangeet Sankaramangalam Ulhas
,
Aditya Ravichander
,
Kathryn A. Johnson
,
Theodore P. Pavlic
,
Lance Gharavi
,
Spring Berman
Published: 01 Jan 2022, Last Modified: 15 May 2023
CoRR 2022
Readers:
Everyone
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection
Jinyung Hong
,
Ted Pavlic
Published: 19 Jan 2022, Last Modified: 15 Feb 2026
CLeaR-Workshop Poster
Readers:
Everyone
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning
Jinyung Hong
,
Theodore P. Pavlic
2021 (modified: 30 Sept 2022)
NeSy 2021
Readers:
Everyone
KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification Tasks
Jinyung Hong
,
Theodore P. Pavlic
2021 (modified: 30 Sept 2022)
CoRR 2021
Readers:
Everyone
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning
Jinyung Hong
,
Theodore P. Pavlic
2021 (modified: 30 Sept 2022)
CoRR 2021
Readers:
Everyone
Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change
Taeyeong Choi
,
Benjamin Pyenson
,
Juergen Liebig
,
Theodore P. Pavlic
2021 (modified: 30 Sept 2022)
AAAI 2021
Readers:
Everyone
Quorum sensing without deliberation: biological inspiration for externalizing computation to physical spaces in multi-robot systems
Theodore P. Pavlic
,
Jake R. Hanson
,
Gabriele Valentini
,
Sara Imari Walker
,
Stephen C. Pratt
2021 (modified: 30 Sept 2022)
Swarm Intell. 2021
Readers:
Everyone
View all 38 publications
Co-Authors
Aditya Ravichander
Alyssa M. Adams
Andréa W. Richa
Aurélie Buffin
Benjamin Pyenson
Bruce W. Weide
Charles Pippin
Cumhur Erkan Tuncali
Douglas G. Moore
Eric Squires
Gabriele Valentini
Ganesh P. Kumar
Georgios Fainekos
Gregory Cooke
Jake R. Hanson
Jinyung Hong
Joseph Campbell
Juergen Liebig
Kaitlin Baudier
Kaitlin M. Baudier
Kathryn A. Johnson
Kenneth Bowers
Kevin M. Passino
Lance Gharavi
Laura Strickland
View all 39 co-authors