Kashif Sharif.
Ph.D. · Associate Professor
Department of Computer Science and Technology

Kashif Sharif

Network Intelligence, mobile computing, netwrok security, and the spaces in between.

I am an associate professor at Beijing Institute of Technology, where I lead a research group working on reliable, efficient, and intelligent networks. My work spans model evaluation, network security, and protocol design that makes mobile communication robust and practical. I teach graduate and undergraduate courses and supervise students at all levels.

Prospective students — read the guide before applying →

01

Research

My group studies how machine learning can make networked systems more intelligent, adaptive, and secure. We develop robust learning methods for encrypted traffic, distributed and evolving data, and resource-constrained edge environments, with an emphasis on solutions that remain effective under real-world change.

I am always happy to talk about these topics with students and collaborators.

  1. Network intelligence

    Machine learning for encrypted traffic classification, network monitoring, and intelligent network management.

  2. Robust and adaptive learning

    Continual learning, distribution shift, concept drift, class imbalance, and out-of-distribution detection.

  3. Federated and distributed AI

    Privacy-aware and communication-efficient learning across decentralized network and edge environments.

  4. Network and IoT security

    Learning-based security, intrusion detection, access control, and trustworthy mechanisms for IoT, vehicular, and edge systems.

02

Selected publications

A short selection of recent work. A complete and up-to-date list lives on my Google Scholar profile.

  1. 2026

    SLA-Aware RSU-Edge Delegate Orchestration for IoV Consensus

    A. Bilal, K. Sharif, et al. — IEEE Transactions on Network and Service Management

  2. 2026

    DAIR-FedMoE: Hierarchical MoE for Federated Encrypted Traffic Classification under Compound Drift

    S. Fardous, K. Sharif, et al. — IEEE Transactions on Dependable and Secure Computing

  3. 2026

    Evaluation to integration: Hybrid feature selection framework with ensemble machine learning for intrusion detection

    A. Bilal, K. Sharif, et al. — IEEE Transactions on Dependable and Secure Computing

  4. 2026
  5. 2026
03

Teaching

I teach courses on communication systems and compilers, and I supervise final-year and thesis projects. Course materials are shared with enrolled students through the university Lexue.

  • MS/PhD Advanced Computer Networks Fall
  • MS/PhD Wireless Networks and Mobile Computing Spring
  • UG Principles of Compiler Design Spring

Interested in working with me? Read the guide for prospective students before getting in touch.