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O'Connell Technology Center, 211, Computer Science Department
O'Connell Technology Center, 211, Computer Science Department
400 W. First St., Chico, CA 95929-0410 (Campus Map), +1 530-898-4342
Publications, Google scholar, Research Gate, CURE-E Fellowship
(CSE 129549)
2023-24 Sensor Fusion Research Group
2023-24 Sensor Fusion Research Group
California State University Chico - Students
Elephant Listening Project with Cornell University
Elephant, Rhinos, & People with Embry Riddle Aeronautical University
On-Going Research at California State University Chico with Student Research Groups
Research: Sensor Systems and Information Fusion, Robotics and Machine Learning, Physics-informed Machine Learning, and Hybrid Parallel + Quantum Computing.
Resources - IEEE: https://www.computer.org/conferences, Publication Recommender, ACDSA, WACV, RTAS, RTSS, RTCSA, CVPR (sensor fusion), Systems Journal, SYSCON, ICIP, IPDPS, ICPP, PPOPP, ICPC, ICADPC, SC, NCA, GCAoIT, and Aerospace; SPIE: Defense+Comm Sensing (sensor fusion), Future of Sensors, and Sensors+Imaging; AIAA: SciTech(sensor fusion); Robotics & Automation: ICRA23, ICRA24, i-SAIRAS24, IROS, CASE, and ROScon; Open: arXiv, and MDPI; ACM: Publications Overview, ISWC. CCSC, SIGGRAPH; and AAAI: Conferences & Symposia. Industry: ROSCon, GPU-Tech, ISC, SC, AIM, and AUVSI Xponential. Local/Regional: CSCE, ASEE PSW; Journals: Intelligence & Robotics (intellrobot.com), TPDS. Teaching Research: ICCSE, ACM SIGCSE 2024 TS, ACM ITICSE, ASEE Nat'l Conference, ASEE PSW, ASEE RMS. Environmental and Sensing: https://compass.acm.org/, Cornell Comp Sustainability, SCB ICCB, https://acousticalsociety.org/philadelphia,
https://neurips.cc/Conferences/2025/CallForPapers, https://ai4good.org/fragile-earth-2025/
Research Search Tools: Google Scholar, Research Gate, Meriam Library, arXiv.
CS Conference Rankings - https://research.com/conference-rankings/computer-science
CSU student research: Graduate Symposium, CSCSU Undergraduate Symposium
Regional graduate programs: Cal-Bridge, SDSU, CSRC, UC Davis, UC Merced EECS, UC Santa Cruz, Santa Clara U., CU Boulder CS and ESE.
Archive: Joint CU Boulder - Cal State Chico - ERAU Sensor Systems and Information Fusion Research Page
NVIDIA Higher Ed Research: University Programs, CFP: Academic Grants
Sensor Nets and Machine Learning: Elephant Listening Project ML Acoustic Analysis with Cornell U. (Current)
Sensor Nets and Machine Learning: Elephant Listening Project ML Acoustic Analysis with Cornell U. (Current)
Elephants, Rhinos, & People with Embry Riddle & CU Boulder (2019-2024)
Elephants, Rhinos, & People with Embry Riddle & CU Boulder (2019-2024)
Research Focus: Current work with Cornell U. sensor data to apply machine learning methods to acoustic data (infra-sound + audible). Past work with the CSU Farm and ERP in S. Africa to detect, track, and monitor large animals in large spaces with sensor fusion (geophone, infrasound, imaging, vibration, and audible acoustic). General goals are to help keep people out of conflict with elephants and to prevent poaching. In north America, goals are to monitor free range cattle and interactions with wildlife (wild horses, elk, wolves, and pronghorn) and to prevent poaching.
SSIF: Sensor Systems and Information Fusion is the theme and main research topic for this project overall (Topics in AI: Sensor Fusion, Informatik SDIF, Gemini SSIF).
Publications: Video, SPIE 2026 pre-print: paper & poster, SPIE 2025: presentation & paper, SPIE 2024: presentation & paper, AIAA SciTech 2023 presentation & paper, SciTech 2022 - presentation & paper.
Cornell University: Elephant Listening Project, Dzanga Bai, Google: Geospatial Reasoning (info), R-Pi Shake: Stationview & USGS: earthquake map, VHP, Lassen, Shasta, Medicine Lake, Clear Lake, ERAU ERP news, https://allenai.org/ai-for-the-environment
Algorithms to show Quantum Advantage (Current)
Algorithms to show Quantum Advantage (Current)
Parallel+Quantum Research Club & ALPHA (Algorithms & Languages to Program Hybrid Architectures)
Parallel+Quantum Research Club & ALPHA (Algorithms & Languages to Program Hybrid Architectures)
Research Focus: To analyze the capabilities of emergent computing architectures, including quantum, neuromorphic, and hybrid systems, and how they can be programmed with a particular focus on how to best prepare students for future careers relying on these technologies - Full Mission Statement. Current focus is demonstration of quantum advantage compared to parallel.
Publications: ASEE PSW 24: presentation & paper, CS CSU 25: paper & github, Hito Match Foundation
ALPHA Page - Recent workshops: QIST in the CSU summer 2023-2024. References: Quantum in Pictures & QGP.
Quantum advantage is still Turning Complete - we think - not Hypercomputation or super-Turing, but neuromorphic or real computing might be [1]?
Student Summer Research: SSIF & Robotics (Current)
Student Summer Research: SSIF & Robotics (Current)
Summer research programs at CSU Chico focused on Robotics & Machine Learning and SSIF are available to students in ECC (Computer Science, Mechatronics, and Computer Engineering) supported by various on-campus summer programs. Contact Dr. Siewert if you are interested in summer research. The research theme is "Human-Machine Teaming" and is described more fully here - CURE-E research goals.
SSIF: Sensor Systems and Information Fusion is the theme and main research topic for this project overall (Wikipedia Sensor Fusion, Informatik SDIF, Gemini SSIF).
CSU student summer research experience: Adelante - Researcher Program, MESA/CSC2, LAEP, COIL, Honors Program
CSCI 585 Robotics and Machine Intelligence team projects focused on the grand challenge of Human-Robot Teaming and organized into a semester long challenge by Dr. Siewert through fellowship with CSU Chico CURE-E.
Visual baseball tracking - theory, algorithms, & software (2023-2024)
Visual baseball tracking - theory, algorithms, & software (2023-2024)
Sensor Fusion and Physics-informed Machine Learning Methods
Research focus: Industry collaboration with Pocket Radar for development of hybrid machine learning, ML + visual cue models, for baseball trajectory tracking combined with physical models and Doppler radar speed measurements. Results showed the advantage of ML for cluttered scenes and multiple foreground/background moving objects, which were combined in a mobile phone + cloud ML model. The general approach taken was physics-inspired along with use of traditional visual queues and motion vector estimation.
Drone Net Sensor Systems and Information Fusion Project (2016-2020)
Drone Net Sensor Systems and Information Fusion Project (2016-2020)
Research focus: Completed project with Embry Riddle Aeronautical University, active 2016-2020, with goal to use sensor fusion for UAS/UAV operations in urban areas and in controlled airspace to improve situational awareness for safety and security. Research was completed by the ICARUS group. Most aircraft and UAV/UAS are ADS-B compliant (e.g., see flightradar24).
Selected Publications: AIAA SciTech - 2020 paper & presentation, 2019 paper & presentation; IEEE Aerospace - 2021 paper & presentation, 2018 paper & presentation; AUVSI 2018 - paper.
Multi-spectral Imaging Smart Cameras - Arctic Domain (2014-2016)
Multi-spectral Imaging Smart Cameras - Arctic Domain (2014-2016)
Research focus: Completed project with ADAC at U. of Alaska. Machine learning & sensor fusion methods for low-cost software defined multi-spectral imaging systems for the Arctic Domain. Most marine vessels are AIS compliant (e.g., see marinetraffic).
Selected Publications: AIAA SciTech - 2017 paper & presentation; SPIE - 2016 paper & presentation, 2014 paper & presentation; IEEE Alaska Section - presentation.
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