Search Results - "Jalaian, Brian"

Refine Results
  1. 1

    Enhancing Resilience in Mobile Edge Computing Under Processing Uncertainty by Li, Shaoran, Li, Chengzhang, Huang, Yan, Jalaian, Brian A., Hou, Y. Thomas, Lou, Wenjing

    “…Task offloading is a powerful tool in Mobile Edge Computing (MEC). However, in many practical scenarios, the number of required processing cycles of a task is…”
    Get full text
    Journal Article
  2. 2

    Maximizing Energy Efficiency With Channel Uncertainty Under Mutual Interference by Li, Shaoran, Hou, Y. Thomas, Lou, Wenjing, Jalaian, Brian A., Russell, Stephen

    “…We study the problem of channel uncertainty on wireless transmissions from different users with mutual interference. Specifically, the channel gains from the…”
    Get full text
    Journal Article
  3. 3

    Maximize Spectrum Efficiency in Underlay Coexistence With Channel Uncertainty by Li, Shaoran, Huang, Yan, Li, Chengzhang, Jalaian, Brian A., Hou, Y. Thomas, Lou, Wenjing, Russell, Stephen

    Published in IEEE/ACM transactions on networking (01-04-2021)
    “…We consider an underlay coexistence scenario where secondary users (SUs) must keep their interference to the primary users (PUs) under control. However, the…”
    Get full text
    Journal Article
  4. 4

    ERDT: Energy-Efficient Reliable Decision Transmission for Intelligent Cooperative Spectrum Sensing in Industrial IoT by Rongbo Zhu, Xue Zhang, Xiaozhu Liu, Wanneng Shu, Tengyue Mao, Jalaian, Brian

    Published in IEEE access (2015)
    “…Due to harsh environment, large number of sensors, limited energy, and spectrum scarcity, intelligent sensing becomes a key issue to enable many practical…”
    Get full text
    Journal Article
  5. 5

    Minimizing AoI in a 5G-Based IoT Network Under Varying Channel Conditions by Li, Chengzhang, Huang, Yan, Li, Shaoran, Chen, Yongce, Jalaian, Brian A., Hou, Y. Thomas, Lou, Wenjing, Reed, Jeffrey H., Kompella, Sastry

    Published in IEEE internet of things journal (01-10-2021)
    “…The Age of Information (AoI) is a key metric to measure the freshness of information for IoT applications. Most of the existing analytical models for AoI are…”
    Get full text
    Journal Article
  6. 6

    On the integration of SIC and MIMO DoF for interference cancellation in wireless networks by Jalaian, Brian A., Yuan, Xu, Shi, Yi, Hou, Y. Thomas, Lou, Wenjing, Midkiff, Scott F., Dasari, Venkat

    Published in Wireless networks (01-10-2018)
    “…Recent advances in MIMO degree-of-freedom (DoF) models allowed MIMO research to penetrate the networking community. Independent from MIMO, successive…”
    Get full text
    Journal Article
  7. 7

    Robust Decision-Making in the Internet of Battlefield Things Using Bayesian Neural Networks by Cobb, Adam D., Jalaian, Brian A., Bastian, Nathaniel D., Russell, Stephen

    Published in 2021 Winter Simulation Conference (WSC) (12-12-2021)
    “…The Internet of Battlefield Things (IoBT) is a dynamically composed network of intelligent sensors and actuators that operate as a command and control,…”
    Get full text
    Conference Proceeding
  8. 8

    Improving Differential Evolution through Bayesian Hyperparameter Optimization by Biswas, Subhodip, Saha, Debanjan, De, Shuvodeep, Cobb, Adam D, Das, Swagatam, Jalaian, Brian A

    “…We propose a novel Evolutionary Algorithm (EA) based on the Differential Evolution algorithm for solving global numerical optimization problem in real-valued…”
    Get full text
    Conference Proceeding
  9. 9

    Cooperative Spectrum Sensing in Cognitive Wireless Sensor Networks by Zhang, Xue, Liu, Xiaozhu, Samani, Hooman, Jalaian, Brian

    “…Cognitive wireless sensor network (CWSN) is a combination of cognitive radio and wireless sensor networks (WSNs), which can effectively solve spectrum resource…”
    Get full text
    Journal Article Book Review
  10. 10

    Reducing classifier overconfidence against adversaries through graph algorithms by Teixeira, Leonardo, Jalaian, Brian, Ribeiro, Bruno

    Published in Machine learning (01-07-2023)
    “…In this work we show that deep learning classifiers tend to become overconfident in their answers under adversarial attacks, even when the classifier is…”
    Get full text
    Journal Article
  11. 11

    Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo by Kungurtsev, Vyacheslav, Cobb, Adam, Javidi, Tara, Jalaian, Brian

    Published in Machine learning (01-08-2023)
    “…Federated learning performed by a decentralized networks of agents is becoming increasingly important with the prevalence of embedded software on autonomous…”
    Get full text
    Journal Article
  12. 12

    Dynamic Spectrum Access Algorithm Based on Game Theory in Cognitive Radio Networks by Liu, Xiaozhu, Zhu, Rongbo, Jalaian, Brian, Sun, Yongli

    Published in Mobile networks and applications (01-12-2015)
    “…As an enabling technology for dynamic spectrum access (DSA), cognitive radio (CR) is widely regarded as one of the most promising technologies for future the…”
    Get full text
    Journal Article
  13. 13

    Neurosymbolic AI in Cybersecurity: Bridging Pattern Recognition and Symbolic Reasoning by Jalaian, Brian, Bastian, Nathaniel D.

    “…In the face of escalating cyber threats, traditional security measures often fall short, prompting the need for more advanced and interpretable solutions…”
    Get full text
    Conference Proceeding
  14. 14

    Detecting Adversarial Examples Using Data Manifolds by Jha, Susmit, Jang, Uyeong, Jha, Somesh, Jalaian, Brian

    “…Models produced by machine learning, particularly deep neural networks, are state-of-the-art for many machine learning tasks and demonstrate very high…”
    Get full text
    Conference Proceeding
  15. 15

    Investigating LoRa for the Internet of Battlefield Things: A Cyber Perspective by Sondrol, Torkjel, Jalaian, Brian, Suri, Niranjan

    “…The ability to understand, predict, adapt, and exploit the vast array of inter-networked things that will be present in the future battlefield is critical for…”
    Get full text
    Conference Proceeding
  16. 16

    Reaping the Benefits of Dynamic TDD in Massive MIMO by Huang, Yan, Jalaian, Brian, Russell, Stephen, Samani, Hooman

    Published in IEEE systems journal (01-03-2019)
    “…Recent advances in massive multiple-input multiple-output (MIMO) communication show that equipping base stations (BSs) with large antenna arrays can…”
    Get full text
    Journal Article
  17. 17

    A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System by Bizzarri, Alice, Jalaian, Brian, Riguzzi, Fabrizio, Bastian, Nathaniel D.

    “…Ever-changing cyber threats require strong and flexible network security solutions. This paper suggests a new method to improve the performance of detecting…”
    Get full text
    Conference Proceeding
  18. 18

    The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example by Wang, Tianshi, Kara, Denizhan, Li, Jinyang, Liu, Shengzhong, Abdelzaher, Tarek, Jalaian, Brian

    “…In this paper, we highlight a dangerous pitfall in the state-of-the-art evaluation methodology of deep learning algorithms. It results in deceptively good…”
    Get full text
    Conference Proceeding
  19. 19

    Kronos: A 5G Scheduler for AoI Minimization Under Dynamic Channel Conditions by Li, Chengzhang, Huang, Yan, Chen, Yongce, Jalaian, Brian, Hou, Y. Thomas, Lou, Wenjing

    “…Age of information (AoI) is a powerful new metric to quantify the freshness of information and has gained increasing popularity in IoT applications. Existing…”
    Get full text
    Conference Proceeding
  20. 20

    Programmable control plane for mission critical wireless networks by Dasari, Venkat R, Jalaian, Brian, Bhat, Saleil

    Published in Journal of defense modeling and simulation (01-04-2018)
    “…The control plane is an essential element to manage the data plane communications in wired and wireless networks. In a traditional network architecture, the…”
    Get full text
    Journal Article