About

Ahmed A. Shafee  is currently an Assistant Professor in the Department of Computer Science, Adams State University, USA. He received his Ph.D. degree from the Department of Electrical & Computer Engineering, Tennessee Tech. University, USA in 2022. He received the B.Sc. and M.Sc. degrees (Hons.) in Electronics, Communication and Computer Engineering from Helwan University, Egypt, in 2011 and 2018, respectively. His current research interests include security and privacy in smart grid AMI networks and electric vehicles, Cyber Security, machine\deep learning, privacy-preserving machine learning, artificial intelligence (AI), embedded systems, cloud computing and Edge Intelligence. He has more than ten years of academic experience in teaching and research in variety topics. 

Journal Publications

• [J1]  (IEEE Access) A. A. Awad, S. G. Sayed and S. A. Salem, “Collaborative Framework for Early Detection of RAT-Bots Attacks”, in IEEE Access, vol. 7, pp. 71780-71790, 2019.

• [J2]  (IEEE Access) A. A. Shafee, M. M. Fouda, M. M. E. A. Mahmoud, A. J. Aljohani, W. Alasmary and F. Amsaad, "Detection of Lying Electrical Vehicles in Charging Coordination Using Deep Learning," in IEEE Access, vol. 8, pp. 179400-179414, 2020. 

• [J3] ( Journal of Systems Architecture)  A.A.Shafee, Tasneem A. Awaad,“Privacy Attacks Against Deep Learning Models and their Countermeasures”, in Journal of Systems Architecture, 2020.

• [J4] ( IEEE Access)  A. A. Shafee, M. M. E. A. Mahmoud, G. Srivastava, M. M. Fouda, M. Alsabaan and M. I. Ibrahem, ”Detection of Distributed Denial of Charge (DDoC) Attacks Using Deep Neural Networks With Vector Embedding”, IEEE Access, vol. 11, pp. 75381-75397, 2023.

• [J5] ( IEEE TDSC)  A. A. Shafee, M. M. E. A. Mahmoud, , J. W. Bruce, , A. J. Aljohani, F. Alsolami, and A. Balamsh, “Privacy-Preserving and Robust Detector for False Data in Temporal-Spatial Charging Coordination”, IEEE Transactions on Dependable and Secure Computing (TDSC), 2023.

• [J6] ( Computers and Electrical Engineering)  Shafee, A., Hasan, S. R., & Awaad, T. A. (2024). Privacy and Security Vulnerabilities in Edge Intelligence: An Analysis and Countermeasures. Computers and Electrical Engineering, Elsevier. 

Conference Publications

• [C1] (ICCA conference)  A. A. Awad, S. G. Sayed and S. A. Salem, “A host-based framework for RAT bots detection”, 2017 International Conference on Computer and Applications (ICCA), Doha, 2017, pp. 336-342.

• [C2]  (IEMCON conference)  A. A. Awad, S. G. Sayed and S. A. Salem, “A network-based framework for RAT-bots detection”, 2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Vancouver, BC, 2017, pp. 128-133.

• [C3]  (CCNC conference) A. Shafee, M. Baza, D. A. Talbert, M. M. Fouda, M. Nabil and M. Mahmoud, “Mimic Learning to Generate a Shareable Network Intrusion Detection Model”, 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2020.

• [C4] (iThings conference)  A. Alsharif, A. Shafee, M. Nabil, M. Mahmoud and W. Alasmary, “A Multi-Authority Attribute-Based Signcryption Scheme with Efficient Revocation for Smart Grid Downlink Communication”, 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Atlanta, GA, USA, 2019, pp. 1025-1032.  

• [C5]  (ISNCC conference) Ahmed Shafee, “Botnets and their detection techniques”, IEEE International Symposium on Networks, Computers and Communications (ISNCC), Montreal, Canada, 2020.

• [C6]  (ISNCC conference) A. A. Shafee, M. Nabil, M. M. E. A. Mahmoud, Waleed Alasmary, Fathi Amsaad, “Detection of Denial of Charge (DoC) Attacks in Smart Grid Using Convolutional Neural Networks”, IEEE International Symposium on Networks, Computers and Communications (ISNCC), Dubai, UAE, 2021.

• [C7]  (ISVLSI conference)  A. A. Shafee, Tasneem A. Awaad, and Ahmed Moro “A Survey of Edge Computing Privacy and Security Threats and their Countermeasures”, IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2024.

• [C8]  (ISVLSI conference)  A. A. Shafee, Tasneem A. Awaad, and Ahmed Moro “Robust In-Vehicle Diagnostic-Based Intrusion Detection System”, IEEE International Symposium on Networks, Computers and Communications (ISNCC), Washington DC, USA, 2024.

Thesis/Dissertation

Ph.D. Dissertation

“Towards secure charging infrastructure for electrical vehicles using robust Deep learning models”,

Committee Members: Assoc. Prof. Mohamed Mahmoud,  Prof. Ghadir Radman,  Assoc. Prof. Syed Rafay Hasan, Prof. Doug Talbert, Assoc. Prof. JW Bruce.

MSc Thesis

“Botnets Detection and Applications”,

Committee Members:  Prof. Dr. Mohammed Ibrahim El Adawy ,  Prof. Dr. Sameh Abd El Rahman Salem,   Assoc.  Prof.  Samir Gaber Sayed.

Educational Background 

•  PhD in Department of Electrical and Computer Engineering, Tennessee Tech University

        Spring  2019 - Summer 2022

•  MSc in Computer Engineering,  Helwan University

Spring 2013 - Fall 2018

•  BSc in Electronics, Communication, and Computer Computer Engineering, Helwan University
  Fall 2007 - Spring 2012

Research Interests

• Machine \ Deep Learning

• Artificial Intelligence 

• Intrusion Detection

• Security

• Embedded Systems

• Operating Systems

Personal Activities

Reviewing Activity

• Reviewer at IEEE Internet of Things Journal. 

• Reviewer at IEEE Transactions on Vehicular Technology.

• Reviewer at IEEE Vehicular Technology Magazine.

• Reviewer at Peer-to-Peer Networking and Applications.

Teaching

Assistant Professor

• Computer Science II

• Computer Networks

• Multiprocessing Programming

• Artificial Intelligence and Machine Learning

• Cyber Security

• Data Base

• Web Design

• Computer Vision

• Fundamentals of Programming

Lecturer Assistant

• Computer Programming (C/C++)

• Data Structure and Algorithms

• Design Of Compilers

• Operating System 

• Object Oriented Programming 

• Artificial Intelligence 

• Machine Learning

•  Database 

• Parallel and Distributing Systems

• Security

•  Discrete Math

• Statistics and Probability

Labs

• Computer Programming (C/C++) 

• Design Of Compilers

•  Operating System

• Artificial Intelligence (Prolog)

• Machine Learning, Database (SQL)

•  Java Programming

• Message Passage interface (MPI) and virtualization lab

• Security 

• Analog electronics

• Digital electronics and Digital systems design

Work Experience 

Adams State University, Dept. of Computer Science

Assistant Professor

• Computer Science II

• Computer Networks

• Multiprocessing Programming

• Artificial Intelligence and Machine Learning

• Cyber Security

• Data Base

• Web Design

• Computer Vision

• Fundamentals of Programming

Tennessee Technological University (TTU), College of Engineering, Dept. of Electrical and Computer Engineering 

Lecturer

• Teaching (ECE 6900 - security and privacy fundamentals) in a workshop in TTU for five weeks.

Research Assistant

• Working on different research projects including intrusion detection in electric vehicles system, intrusion detection for crypto-currency malware using machine learning, deep learning, privacy-preserving machine learning, artificial intelligence (AI), security and cryptography topics.

Teacher Assistant for the MicroController class

• Responsible for grading and helping the students with their projects, assignments and labs.

Helwan University, College of Engineering, Dept. of Electrical and Computer Engineering

Tenure Lecturer Assistant

• Responsible for giving lectures, tutorials,  and helping the students with assignments.

• Courses Assisted in: Computer Programming (C/C++), Data Structure and Algorithms, Design Of Compilers, Operating System, Object Oriented Programming, Artificial Intelligence, Machine Learning, Database, Parallel and Distributing Systems, Security, Discrete Math, Statistics and Probability.

Tenure Teacher Assistant

• Responsible for grading and helping the students with their projects, and labs.

• Courses Assisted in: Computer Programming (C/C++), Design Of Compilers, Operating System, Artificial Intelligence (Prolog), Machine Learning, Database (SQL), Java Programming, Message Passage interface (MPI) and virtualization lab, Security, analog electronics, digital electronics and Digital systems design.

Research Assistant

• Work as C/C++ software engineer for “Integrating 3G/4G and Wi-Fi Architectures for Diverse Offloading Capabilities” research project.

Valeo 

Embedded Software Engineer

• Worked at the Group of electronic experts and developing services (GEEDS) Team and was responsible for:

– Integrating and Testing AUTOSAR modules after development.

– Integration and Configuration of the AUTOSAR modules for park-for-you project with BMW.

– Unit and module testing for AUTOSAR modules for safety and image processing projects with Volvo.

• Worked at the Inner Electronics team and was responsible for:

– Static Code analysis and Testing using polyspace tool (polyspace running, polyspace analysis) for remote door keys encryption project.

• Worked at the Visibility Team and was responsible for:

– Unit and Module Testing using RTRT tool for the developed modules.

– Development of embedded software modules for visibility project with Maserati.

MCS Company

COURSE INSTRUCTOR

•  Datamining Course Trainer.

• Machine learning Course Trainer.

• Artificial Intelligence Course Trainer.

• Image processing and computer vision Trainer.

Grants

• Received a fund ($25,903) for the project ”Fordham CEDI Center for Cybersecurity Equipment Funding Proposal”. The grant is provided as a subaward from Fordham university under the Cybersecurity Educational Diversity Initiative (CEDI) program that is sponsored by the National Security Agency (NSA) (Federal award no: NSA/H98230-20-1-0387) (subward no: FORD0093-30353). The main purpose of the grant is to build the infrastructure of a cyber security lab for the under graduate students.

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