Biography

Dr. Caio Batista de Melo is an Assistant Teaching Professor with the Department of Computer Science. He received his B.Sc. and M.Sc. from the Universidade de Brasília, in Brazil, and his Ph.D. from the University of California, Irvine. At UC Irvine, he also served as the instructor of record for lower- and upper-division courses during the academic year. Dr. Batista's research has focused on detecting and reasoning about emergent behaviors from both software and system perspectives. His most recent work has focused on autonomous vehicles and how emergent behavior provisions can be deployed in such a context. Additionally, Dr. Batista is highly interested in computer science education, with a particular interest in representation. At UC Irvine, he was one of the lead staff members of the CS1 course for four years, and he contributed to shaping the course so it was accessible to incoming students with all levels of experience.

Fall '24 Office Hours (2024-08-19 to 2024-12-03)

  • CSC 116
    • Wednesdays from 9am to 11am in LMP 242C
    • Please use My Digital Hand.
  • CSC 236
    • Wednesdays from 2pm to 3pm in LMP 242C
If you're in one of my classes and need to meet at a time different than the ones above, please reach out to me through Piazza/Ed (preferred) or email.

Research Areas

  • Advanced Learning Technologies
  • Cyber-Physical Systems
  • Embedded and Real-Time Systems

Education

University of California, Irvine

  • Ph.D. in Computer Science, June 2023

Universidade de Brasília

  • M.Sc. in Computer Science, August 2018
  • B.Sc. in Computer Science, July 2017

CSC Fall Courses

  • CSC 116-005 LEC Intro Comp - Java   TTh 8:30am-10:20am   Room: 200 111 Lampe Drive

  • CSC 236-001 LEC Comp Org Assem CSC   TTh 4:30pm-5:45pm   Room: 1007 Engineering Building I

Publications

  • Batista de Melo et al., "SAFER: Safety Assurances For Emergent Behavior", D&T 2024
  • Batista de Melo and Dutt, "LOCoCAT: Low-Overhead Classification of CAN Bus Attack Types", ESL 2023
  • Sperling et al., "Information Processing Factory 2.0 - Self-awareness for Autonomous Collaborative Systems", DATE 2023
  • Donyanavard et al., "Reflecting on Self-Aware Systems-on-Chip", Springer 2021
  • Rambo et al., "The Self-Aware Information Processing Factory Paradigm for Mixed-Critical Multiprocessing", TETC 2020
  • Batista de Melo et al., "Characterization of Implied Scenarios as Families of Common Behavior", JSS 2019
  • Rambo et al., "The Information Processing Factory: A Paradigm for Life Cycle Management of Dependable Systems", CODES+ISSS 2019
  • Poulakas et al., "WATSHERE: A Watson Cognitive System to Navigate Social/Health Resources for Public Schools", GBATA 2017