World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
13787
World Ranking
6051
National Ranking
2730

Electronics and Electrical Engineering

D-Index
48
Citations
13761
World Ranking
3018
National Ranking
1133

Overview

Katia Obraczka is affiliated with the University of California, Santa Cruz in the United States. Their research work focuses primarily on the fields of computer science and engineering, with a notable emphasis on computer networks and communications, electrical and electronic engineering, and transportation.

The scientist's work spans multiple specialized topics including:

  • Human Mobility and Location-Based Analysis
  • Software-Defined Networks and 5G
  • Advanced Wireless Network Optimization
  • Energy Efficient Wireless Sensor Networks
  • Vehicular Ad Hoc Networks (VANETs)
  • Cooperative Communication and Network Coding
  • Wireless Networks and Protocols

Obraczka's recent publications illustrate research in vehicular networks, 5G communication, deep reinforcement learning, and IoT video transmission. Some of the recent papers include:

  • Dynamic Controller Assignment in Software Defined Internet of Vehicles Through Multi-Agent Deep Reinforcement Learning, 2020, IEEE Transactions on Network and Service Management
  • Harnessing UAVs for Fair 5G Bandwidth Allocation in Vehicular Communication via Deep Reinforcement Learning, 2021, IEEE Transactions on Network and Service Management
  • Machine learning for next-generation intelligent transportation systems: A survey, 2021, Transactions on Emerging Telecommunications Technologies
  • Wireless multipath video transmission: when IoT video applications meet networking-a survey, 2022, Multimedia Systems
  • A Deep Learning Approach for Identifying User Communities Based on Geographical Preferences and Its Applications to Urban and Environmental Planning, 2020, ACM Transactions on Spatial Algorithms and Systems

Obraczka often publishes in venues such as:

  • arXiv (Cornell University)
  • Ad Hoc Networks
  • IEEE Transactions on Network and Service Management
  • SIMULATION
  • IEEE Transactions on Intelligent Transportation Systems

Frequent collaborators in Obraczka's work include Célio Albuquerque, Thierry Turletti, Fabiano Bhering, Diego Passos, and Tingting Yuan, indicating a research network with interdisciplinary and international connections.

Best Publications

  • A Survey of Software-Defined Networking: Past, Present, and Future of Programmable Networks

    Bruno Astuto A. Nunes;Marc Mendonca;Xuan Nam Nguyen;Katia Obraczka

  • Energy-efficient collision-free medium access control for wireless sensor networks

    Venkatesh Rajendran;Katia Obraczka;J. J. Garcia-Luna-Aceves

  • Energy-efficient, collision-free medium access control for wireless sensor networks

    Venkatesh Rajendran;Katia Obraczka;J. J. Garcia-Luna-Aceves

  • Flooding for reliable multicast in multi-hop ad hoc networks

    Christopher Ho;Katia Obraczka;Gene Tsudik;Kumar Viswanath

  • Multicast transport protocols: a survey and taxonomy

    K. Obraczka

  • Routing mechanisms for mobile ad hoc networks based on the energy drain rate

    Dongkyun Kim;J.J. Garcia-Luna-Aceves;K. Obraczka;J.-C. Cano

  • Routing for disruption tolerant networks: taxonomy and design

    Thrasyvoulos Spyropoulos;Rao Naveed Rais;Thierry Turletti;Katia Obraczka

  • Modeling the performance of HTTP over several transport protocols

    John Heidemann;Katia Obraczka;Joe Touch

  • Routing in Delay-Tolerant Networks Comprising Heterogeneous Node Populations

    T. Spyropoulos;T. Turletti;K. Obraczka

  • The impact of timing in data aggregation for sensor networks

    I. Solis;K. Obraczka

  • Internet resource discovery services

    K. Obraczka;P.B. Danzig;S.-H. Li

  • An analysis of wide-area name server traffic: a study of the Internet Domain Name System

    Peter B. Danzig;Katia Obraczka;Anant Kumar

  • Energy-efficient, application-aware medium access for sensor networks

    V. Rajendran;J.J. Garcia-Luna-Aveces;K. Obraczka

  • Power-aware routing based on the energy drain rate for mobile ad hoc networks

    Dongkyun Kim;J.J. Garcia-Luna-Aceves;K. Obraczka;J.C. Cano

  • Exploring mesh and tree-based multicast. Routing protocols for MANETs

    K. Viswanath;K. Obraczka;G. Tsudik

  • Hybrid Modeling of TCP Congestion Control

    João Hespanha;Stephan Bohacek;Katia Obraczka;Junsoo Lee

  • Flooding for reliable multicast in multi-hop ad hoc networks

    Katia Obraczka;Kumar Viswanath;Gene Tsudik

  • In-network aggregation trade-offs for data collection in wireless sensor networks

    Ignacio Solis;Katia Obraczka

  • Multicast feedback suppression using representatives

    D. DeLucia;K. Obraczka

  • Characterizing energy consumption in a visual sensor network testbed

    C.B. Margi;V. Petkov;K. Obraczka;R. Manduchi

Frequent Co-Authors

Thierry Turletti
Thierry Turletti French Institute for Research in Computer Science and Automation - INRIA
J.J. Garcia-Luna-Aceves
J.J. Garcia-Luna-Aceves University of California, Santa Cruz
Joao P. Hespanha
Joao P. Hespanha University of California, Santa Barbara
Roberto Manduchi
Roberto Manduchi University of California, Santa Cruz
Thrasyvoulos Spyropoulostechnical
Thrasyvoulos Spyropoulostechnical Technical University of Crete
Mario Gerla
Mario Gerla University of California, Los Angeles
Gene Tsudik
Gene Tsudik University of California, Irvine
Pietro Manzoni
Pietro Manzoni Universitat Politècnica de València
Juan-Carlos Cano
Juan-Carlos Cano Universitat Politècnica de València
Dongkyun Kim
Dongkyun Kim Kyungpook National University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those pursuing Electronics and Electrical Engineering, online education offers flexible paths tailored to individual needs. Many programs cater specifically to working adults, allowing them to balance their studies with professional commitments. Exploring degree programs for working adults can provide accelerated options that fit busy schedules without compromising quality.

Additionally, educators interested in integrating technology into their curriculum might consider the best online master's for teaching. These programs prepare graduates to design effective instructional materials, ideal for engineering trainers and academic professionals.

Competency-based learning is another important trend in online education, emphasizing mastery over traditional credit hours. Students can advance by demonstrating skills, making competency based masters degrees a practical choice for those aiming to accelerate their careers in engineering fields.

Moreover, military spouses and dependents often face unique challenges in continuing education. Thankfully, several institutions provide tailored support through online universities for military spouses, enabling seamless access to quality engineering programs despite frequent relocations.

Best Scientists Citing Katia Obraczka

Trending Scientists

Recently Published Articles