F. ANTONIO MEDRANO
Curriculum Vitae
EDUCATION
Ph.D. University of California, Santa Barbara, 2014
Department of Geography
emphasis on Modeling, Measurement, and Computation
M.S. University of California, Santa Barbara, 2009
Media Arts and Technology Program
emphasis on Multimedia Engineering
B.S. Harvey Mudd College, 2002
Engineering, with honors
emphasis on Systems Engineering
ACADEMIC AND RESEARCH POSITIONS
Assistant Texas A&M University, Corpus Christi (January 2019–present)
Professor Department of Computer Science, Geospatial Computer Science Program
Conrad Blucher Institute for Surveying and Science
Research University of California, Santa Barbara (August 2017–December 2018)
Specialist Bren School of Environmental Science & Management
Co-Founder Arogi, Inc., Santa Barbara, CA (February 2016–February 2017)
Postdoctoral University of California, Santa Barbara (April 2015–January 2016)
Researcher Center for Spatial Studies, Department of Geography
Visiting Universitat Jaume I, Castellón de la Plana, Spain (September–October 2015)
Professor Geographic Information Systems I (SIW009)
Instructor University of California, Santa Barbara (Winter 2018, Spring 2013, Winter 2011)
Introduction to Optimization for Geographic Problems (GEOG 191)
Instructor University of California, Santa Barbara (Summer 2013)
Maps and Spatial Reasoning (GEOG W 12, online course)
Instructor University of California, Santa Barbara (Winter 2008, 2007, 2006)
Mathematics for Digital Signal Processing (MAT 202)
GRANTS AND FELLOWSHIPS
2024–2025 TEES Annual Research Conference (TARC), Intelligent EV Charging Coordination During Natural Disasters,
internal seed grant PI, $2,500
2020–2025 NSF AI Institute: Artificial Intelligence for Environmental Sciences, #2019758, $2.579M TAMUCC sub-award Co-PI,
($20M total award, Senior Personnel) (website)
2016 NSF SBIR Phase I: Advanced Data Analytics for Public Safety, #1549445, $149,905
2010–2014 Graduate Research Assistantship, funding from Argonne National Laboratories,
(Summer–Fall 2010, Fall 2011–Winter 2013, Summer–Winter 2014)
2010 University of California Transportation Center Graduate Fellowship, $30,000
REFEREED JOURNAL ARTICLES AND BOOK CHAPTERS
2025 Vicens-Miquel, M., P. Tissot, K. Colburn, D. Williams, M.J. Starek, J. Pilartes-Congo, M. Kastl, S. Stephenson, F.A. Medrano.
Machine Learning Predictions for Total Water Levels on a Sandy Beach. Journal of Coastal Research. 41(1): 57-72.
DOI: 10.2112/JCOASTRES-D- 24-00016.1
2024 Vicens-Miquel, M., P. Tissot, F.A. Medrano. Exploring Deep Learning Methods for Short-Term Tide Gauge Water Level
Predictions. Water. DOI: 10.3390/w16202886
2024 Phadke, A., F.A. Medrano, M.J. Starek. U-SMART: Unified Swarm Management and Resource Tracking Framework for
Unoccupied Aerial Vehicles. Drone Systems and Applications. DOI: 10.1139/dsa-2024-0007
2024 Kesireddy, A., Medrano, F.A. Elite Multi-Criteria Decision Making—Pareto Front Optimization in Multi-Objective
Optimization. Algorithms. 17(5), 206. DOI: 10.3390/a17050206
2024 Phadke, A., F.A. Medrano, T. Chu, C.N. Sekharan, M.J. Starek. Modeling Wind and Obstacle Disturbances for Effective
Performance Observations and Analysis of Resilience in UAV Swarms. Aerospace. 24(11), 237.
DOI: 10.3390/aerospace11030237
2024 Phadke, A., F.A. Medrano. Increasing Operational Resiliency of UAV Swarms: An Agent-Focused Search and Rescue
Framework. Aerospace Research Communications. 1:12420. DOI: 10.3389/arc.2023.12420
2023 Phadke, A., F.A. Medrano. Examining Application-Specific Resiliency Implementations in UAV Swarm Scenarios.
Intelligence & Robotics. 3(3):436-61. DOI: 10.20517/ir.2023.27
2023 Phadke, A., F.A. Medrano, C.N. Sekharan, T. Chu. Designing UAV Swarm Experiments: A Simulator Selection and
Experiment Design Process. Sensors. 23(17), 7359. DOI: 10.3390/s23177359
2022 Vicens-Miquel, M., F.A. Medrano, P.E. Tissot, H. Kamangir, M.J. Starek, K. Colburn. A Deep Learning Based Method to
Delineate the Wet/Dry Shoreline and Compute its Elevation Using High-Resolution UAS Imagery.
Remote Sensing. 14(23), 5990. DOI: 10.3390/rs14235990
2022 Phadke, A., F.A. Medrano. Towards Resilient UAV Swarms—A Breakdown of Resiliency Requirements in UAV Swarms.
Drones. 6(11), 340. DOI: 10.3390/drones6110340
2021 Medrano, F.A. Effects of Raster Terrain Representation on GIS Shortest Path Analysis. PLOS ONE. 16(4).
DOI: 10.1371/journal.pone.0250106
2020 Medrano, F.A. The Complete Vertex p-Center Problem. EURO Journal on Computational Optimization. 8, 327–343.
DOI: 10.1007/s13675-020-00131-y, Accepted Manuscript: https://hdl.handle.net/1969.6/90135
2016 Lafia, S., J. Jablonski, W. Kuhn, S. Cooley & F.A. Medrano, Spatial Discovery and the Research Library. Transactions in GIS.
20, 399–412. DOI: 10.1111/tgis.12235
2015 Medrano, F.A. & R.L. Church, A Parallel Computing Framework for Finding the Supported Solutions to a Biobjective
Network Optimization Problem. Journal of Multi-Criteria Decision Analysis. 22, 244-259. DOI: 10.1002/mcda.1541
2014 Scaparra, M.P., R.L. Church & F.A. Medrano, Corridor location: The multi-gateway shortest path model. Journal of
Geographical Systems. 16, 287-309. DOI: 10.1007/s10109-014-0197-8
2014 Medrano, F.A. & R.L. Church, Corridor location for infrastructure development: A fast bi-objective shortest path method for
approximating the pareto frontier. International Regional Science Review. 37, 129-148. DOI: 10.1177/0160017613507772
2013 Medrano, F.A. & R.L. Church, A parallel algorithm to solve near-shortest path problems on raster graphs. In Shi, X.,
Kindratenko, V. & Yang, C. eds. Modern accelerator technologies for geographic information science. Springer, 83-94.
DOI: 10.1007/978-1-4614-8745-6_7
CONFERENCE PROCEEDINGS
2024 Hajiesmaeeli, M., F.A. Medrano, P. Tissot. Generation of Coastal Area DEMs Using Oblique Stereo Imagery from Non-Metric
Cameras with SfM Techniques, i-GUIDE Forum 2024, Jackson Hole, WY, October 14-16, 2024. DOI: 10.5703/1288284317809
2023 Phadke, A., F.A. Medrano, T. Chu, C. Sekharan, M. Starek. D2D (Drone2Drone): a search and rescue framework module for
finding lost UAV swarm agents, The 21st International Conference on Embedded Systems (ESCS23), Las Vegas, Nevada, July
24-27, 2023. DOI: 10.1109/CSCE60160.2023.00153.
2022 Phadke, A., F.A. Medrano, S. Ustymenko, T. Chu. A Study on the Inclusion of Heterogeneous Agents in Unmanned Vehicle
Swarms, The 20th International Conference on Embedded Systems (ESCS22), Las Vegas, Nevada, July 25-28, 2022.
(Accepted, in press)
2022 Vicens-Miquel, M., F.A. Medrano, P. Tissot, H. Kamangir, M. Starek. Deep Learning Automatic Detection of The Wet/Dry
Shoreline at Fish Pass, Texas, 2022 International Geoscience and Remote Sensing Symposium (IGARSS 2022), Kuala Lumpur,
Malaysia, July 17-22, 2022. DOI: 10.1109/IGARSS46834.2022.9884633
2022 Phadke, A., F.A. Medrano, T. Chu. Engineering resiliency in UAV Swarms–A bibliographic analysis, 2022 International
Symposium on Intelligent Unmanned Systems and Artificial Intelligence (SIUSAI 2022), Macao, China, April 22-24, 2022.
DOI: 10.1088/1742-6596/2330/1/012007
2022 Phadke, A., F.A. Medrano, J. Brahmbhatt, S. Ustymenko. A Framework for an Optimized Smart Energy System, 2022
International Symposium on Electrical, Electronics and Information Engineering (ISEEIE 2022), Chiang Mai, Thailand,
February 25-27, 2022. DOI: 10.1109/ISEEIE55684.2022.00049
2022 Phadke, A., F.A. Medrano, S. Ustymenko. Applications of Blockchain in E-government. 2022 International Symposium on
Electrical, Electronics and Information Engineering (ISEEIE 2022), Chiang Mai, Thailand, February 25-27, 2022.
DOI: 10.1109/ISEEIE55684.2022.00035
2021 Phadke, A., F.A. Medrano, J. Brahmbhatt. A Conceptual Framework for a Blockchain-based Tax payment Financial Service,
2021 International Conference on Computational Science and Computational Intelligence (CSCI 2021), December 15-17, 2021,
Las Vegas, Nevada. DOI: 10.1109/CSCI54926.2021.00296
2021 Phadke, A., F.A. Medrano, S. Ustymenko. A Review of Vehicular Micro Clouds. 2021 International Conference on
Computational Science and Computational Intelligence (CSCI 2021), December 15-17, 2021, Las Vegas, Nevada.
DOI: 10.1109/CSCI54926.2021.00139
RESEARCH REPORTS, DISSERTATIONS, AND OTHER PUBLICATIONS
2024 Phadke, A., F.A. Medrano, C.N. Sekharan, T. Chu. An Analysis of Trends in UAV Swarm Implementations in Current Research:
Simulation Versus Hardware. Drone Systems and Applications. 12: 1-10. DOI: 10.1139/dsa-2023-0099
2023 Phadke, A., J. Boyd, F.A. Medrano, M. Starek. Navigating the skies: examining the FAA’s remote identification rule for
unmanned aircraft systems. Drone Systems and Applications. 11: 1-4. DOI: 10.1139/dsa-2023-0029
2022 Phadke, A., F.A. Medrano. A conceptual Blockchain backed framework for Healthcare Data access – Extended abstract series.
Academia Letters, Article 4944. DOI: 10.20935/AL4944
2021 Phadke, A., A. Medrano. A Resilient Multi-UAV System of Systems (SoS). Academia Letters, Article 1659.
DOI: 10.20935/AL1659
2018 Church, R. & F.A. Medrano, Location-Allocation Modeling and GIS. The Geographic Information Science &
Technology Body of Knowledge (3rd Quarter 2018 Edition), John P. Wilson (ed). DOI: 10.22224/gistbok/2018.3.4
2016 Kuhn, W., M. Hegarty, A. Ballatore, K. Doehner, A. Medrano, Donald Janelle, Report on the Center for Spatial Studies.
Center for Spatial Studies, University of California, Santa Barbara. (link)
2015 Cooley, S., S. Lafia, A. Medrano, D. Stephens & W. Kuhn, Spatial Discovery Expert Meeting—Final Report. Center for Spatial
Studies and UCSB Library, University of California, Santa Barbara. (link)
2014 Medrano, F.A., Corridor Location: Generating Competitive and Efficient Route Alternatives. Ph.D. Dissertation, Geography,
University of California, Santa Barbara. (link)
2014 Medrano, F.A. & R.L. Church, A Parallel Biobjective Shortest Path Algorithm. UC Santa Barbara: Geotrans Report
2014-12-01. (link)
2013 Medrano, F.A. & R.L. Church, Strahler Stream Order Inspired Gateway Shortest Path Subsets. UC Santa Barbara: Geotrans
Report 2013-12-01. (link)
2013 Medrano, F.A. & R.L. Church, An Exact Biobjective Shortest Path Method with Gateway Heuristic and Supported Point
Upper-Bounds. UC Santa Barbara: Geotrans Report 2013-06-01. (link)
2012 Medrano, F.A. & R.L. Church, A new parallel algorithm to solve the near-shortest-path problem on raster graphs. UC Santa
Barbara: Geotrans Report RP-01-12-01. (link)
2011 Medrano, F.A. & R.L. Church, Transmission corridor location: Multi-path alternative generation using the k-shortest path
method. UC Santa Barbara: Geotrans Report RP-01-11-01. (link)
CERTIFICATIONS, AWARDS, AND HONORS
Tau Beta Pi engineering honor society, Omega chapter, member
State of California, Engineer in Training, # EIT115948
California Non-Residential Title 24-2001 Certified Energy Plans Examiner
TEACHING HISTORY
Texas A&M University–Corpus Christi (TAMUCC)
PhD level: GSCS-6331 Advanced Geospatial Computing
MS level: GSEN-6390 Introduction to Optimization for Geographic Problems
GSEN-6395 Geospatial Engineering Research
BS level: GISC-2438 Web Map Development (using ArcGIS Maps SDK for JavaScript)
GISC-3421 Visualization for GIS
COSC-3351 Internet Programming
University of California Santa Barbara (UCSB)
MS level: MAT-202 Mathematics for Digital Signal Processing
BS level: GEOG-W12 Maps and Spatial Reasoning
GEOG-191 Introduction to Optimization for Geographic Problems
Universitat Jaume I (UJI)
MS level: GIS-1 Geographic Information Systems I
Curriculum Vitae-
updated May 16, 2025