IZHAR AHMED KHAN(Associate Professor)
    硕士生导师
  • 招生学科专业:
    计算机科学与技术 -- 【招收硕士研究生】 -- 计算机科学与技术学院
    电子信息 -- 【招收硕士研究生】 -- 计算机科学与技术学院
  • 学位:工学博士学位
  • 职称:副教授
  • 所在单位:计算机科学与技术学院/人工智能学院/软件学院
硕士生导师
电子邮箱:
所在单位:计算机科学与技术学院/人工智能学院/软件学院
职务:Associate Professor
学历:南京航空航天大学
办公地点:Room 401,College 16
性别:
联系方式:izhar@nuaa.edu.cn

教育经历
  • [1]. 2004.10- 2008.8

    NWFP University of Engineering and Technology, Pes  |   Computer Science  |   Bachelors Degree (Hons)

  • [2]. 2009.9- 2011.12

    Mid Sweden University, Sundsvall, Sweden  |   Computer Engineering  |   Master's Degree

  • [3]. 2016.9- 2020.6

    南京航空航天大学  |   网络安全  |   博士研究生毕业  |   工学博士学位

工作经历
  • [1]. 2012.3- 2016.6

    COMSATS University Islamabad (CUI)  |  Web Administration  |  Web Administrator

  • [2]. 2012.3- 2015.12

    COMSATS University Islamabad (CUI)  |  Department of Computer Science  |  Lecturer

  • [3]. 2016.1- 2016.8

    COMSATS University Islamabad (CUI)  |  Department of Computer Science  |  Assistant Professor

  • [4]. 2025.1- 至今

    Nanjing University of Aeronautics and Astronautics  |  College of Computer Science and Technology (CCST)  |  Associate Professor

  • [5]. 2022.8- 2025.1

    Nanjing University of Aeronautics and Astronautics  |  College of Computer Science and Technology (CCST)  |  Lecturer

  • [6]. 2020.8- 2022.7

    南京航空航天大学  |  College of Computer Science and Technology (CCST)  |  Postdoctoral Researcher

研究方向
  • [1].Machine Learning, Cyber Security, AI, IoT
社会兼职
  • [1]. TPC Member - International Symposium on Parallel Computing and Distributed Systems

  • [2].2023.1- 至今

    ACM-Member

  • [3].2022.12- 至今

    IEEE-Member

个人简介

I am a cyber security professional and computer scientist with broadly interests in practical aspects of problems arising in critical infrastructure protection, including but not limited to intrusion detection, machine learning and AI. On a low resolution, my research lies primarily in the union of machine learning, and theoretical cyber security, using tools from Artificial Intelligence, trust management, and statistical methods. Most recently, my research focuses on the context-aware zero-trust method, with emphasis on IoT-based trust management and security guarantees for self-driving vehicles security. Overall, I work in the gap between cyber security and machine learning analysis and I thrive to bridge gaps between these highly related but nevertheless at times independent fields. 


My research interests in Computer Science domain encompass a wide spectrum, with a primary focus on intelligent intrusion and anomaly detection methods,

Machine learning, and cyber security. 


Feel free to contact me at [ izhar@nuaa.edu.cn ] to explore exciting research opportunities together.  I am actively seeking undergraduate and master's students

 to join our team for hands-on research to expand your knowledge and make a meaningful impact on the real world. 


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