Published in Geospatial Informatics X, 2020
A common problem in UAS (a.k.a. drone systems) research and development is the cost related to deploying and running realistic testbeds. Due to the constraints in safe operation, handling limited energy resources, and government regulation restrictions, UAS testbed building is time-consuming and not easily configurable for high-scale experiments. Read more
Published in Proceedings of the 6th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications, 2020
Realistic UAV testbed building for developing novel network control algorithms relating to video streaming/analytics is time-consuming and difficult. Challenges arise when executing high-scale drone video analytics experiments due to: constraints in drone manufacturing, government regulation restrictions, and limited energy resources. Read more
Published in 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2020
Multi-drone systems operating in Flying Ad Hoc Networks (FANETS) are inherently insecure and require efficient security schemes to defend against cyber-attacks such as e.g., Man-in-the-middle, Replay and Denial of Service attacks. Read more
Published in 2021 17th International Conference on Network and Service Management (CNSM), 2021
Unmanned aerial vehicles or drones provide new capabilities for disaster response management (DRM). In a DRM scenario, multiple heterogeneous drones collaboratively work together forming a flying ad-hoc network (FANET) instantiated by a ground control station. Read more
Published in IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, 2022
Unmanned aerial vehicles (a.k.a. drones) with high-resolution video cameras are useful for applications in e.g., public safety and smart farming. Inefficient configurations in drone video analytics applications due to edge network miscon-figurations can result in degraded video quality and inefficient resource utilization. Read more
Published in Intelligent Unmanned Air Vehicles Communications for Public Safety Networks, 2022
Unmanned aerial vehicles (a.k.a. drones) have a wide range of applications in e.g., aerial surveillance, mapping, imaging, monitoring, maritime operations, parcel delivery, and disaster response management. Their operations require reliable networking environments and location-based services in air-to-air links with co-operative drones, or air-to-ground links in concert with ground control stations. Read more
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Graduate course, Teaching assistant
CCTP-505 is an introduction to the Communication, Culture, and Technology M.A. program at Georgetown, which all incoming CCT students must take their first semester. Read more
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Graduate course, Teaching assistant
CCTP-783 is a core methods course for the CCT program, one of multiple classes M.A. students can take to satisfy their core methods requirement. Read more
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Graduate course, Teaching assistant
INFO 203 is a required course for the UC-Berkeley's Master of Information Management & Systems (MIMS) program, and open to graduate students from all departments. Read more
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Graduate course, Teaching assistant
INFO 203 is a required course for the UC-Berkeley's Master of Information Management & Systems (MIMS) program, and open to graduate students from all departments. Read more
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Undergraduate course, Teaching assistant
INFO 103 is an elective undergraduate course in the UC-Berkeley School of Information, crosslisted with History, Media Studies, and Cognitive Science. Read more
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Undergraduate course, Adjunct lecturer
SOC 167 is an elective undergraduate course in UC-Berkeley's Sociology Department, providing a wide overview to how classic concepts in the social sciences play out in social media and virtual communities Read more
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Undergraduate course, Instructor of record
SOC 167 is an elective undergraduate course in UC-Berkeley's Sociology Department, providing a wide overview to how classic concepts in the social sciences play out in social media and virtual communities Read more
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Software Carpentry is a global non-profit organization that provides free, short workshops on scientific computing and data science. I have been a certified instructor with SWC since May 2016. Read more
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Since Fall 2016, I have been the lead coordinator for The Hacker Within, a weekly peer learning group for scientific computing and data science, which is run out of the Berkeley Institute for Data Science. Read more
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Graduate-level course on discourse analysis for UCSD Communication Read more
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Graduate-level course on auditing algorithms for bias, fairness, etc. Read more
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Intermediate undergraduate course on the relationship between data and culture Read more
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Graduate-level course on social and ethical issues in data science Read more
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Undergraduate course on social issues in data science Read more
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Undergraduate course on social issues in data science Read more
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Intermediate undergraduate course on the relationship between data and culture Read more