Profile

Abdur R. Shahid, Ph.D.
Assistant Professor of Computer and Information Systems (Computer and Information Systems)
shahid@rmu.edu
412-397-6437 phone (M)
Wheatley Center 204


My Website


Educational Background

  • Ph.D., Computer Science, Florida International University, 2019
  • Master of Science, Computer Science, Florida International University, 2018
  • Bachelor of Science, Computer Science and Engineering, Chittagong University of Engineering and Technology, 2011

Area of Expertise/Research

  • Research Interest: Security, Privacy, and Machine Learning for Cyber-physical Systems (CPS). In particular, adversarial machine learning; federated learning; inter-dependent networks; blockchain; privacy enhancing technologies; and analytics with privacy.
  • Teaching Interest: Programming (C, C++, Java, Python, JavaScript), Web Development, Operating Systems, Networks, Parallel and Distributed Computing, Database, Data Structures and Algorithms, System Analysis and Design, Data Analytics, Data Warehousing, Data Mining, Machine Learning, Artificial Intelligence, Cybersecurity, Internet of Things, Mobile Computing

Publications

  • Abdur R. Shahid, “Trajectory Privacy Preservation and Lightweight Blockchain Techniques for Mobility-Centric IoT” (2019). FIU Electronic Theses and Dissertations. 4308
  • Hussein Zangoti, Alex P. Makki, Niki Pissinou, Abdur R. Shahid, Omar J. Guerra, Joel Rodriguez, “A Multidimensional Blockchain Framework For Mobile Internet of Things”. In 2022 International Conferences on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE, 2022.
  • Abdur R. Shahid, Ahmed Imteaj, Peter Y. Wu, Diane A. Igoche, Tauhidul Alam, “Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System”. In 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 2022.
  • Abdur R. Shahid, Niki Pissinou, and Sajedul Talukder. “Protecting Location Privacy in Blockchain-based Mobile Internet of Things”. Book chapter in Principles and Practice of Blockchains, Springer, USA 2022. (In press).
  • Abdur R. Shahid, and Sajedul Talukder, “A Study of Differentially Private Machine Learning in Healthcare”, The Conference on Innovations and Applications in Intelligent Systems (ASYU), 2021.
  • Abdur R. Shahid, and Sajedul Talukder, “Evaluating Machine Learning Models for Handwriting Recognition-based Systems under Local Differential Privacy”, The Conference on Innovations and Applications in Intelligent Systems (ASYU), 2021.
  • Melinda Goda, Abdur R. Shahid “Differentially Private Machine Learning for Breast CancerClassification.” 25th Annual Conference of the Consortium for Computing Sciences in Colleges, Northeastern Region (CCSCNE), 2021. (Runner-up in undergraduate best poster competition).
  • T. Alam, J. Taylor, J. Taylor,S. Badsha, Abdur R. Shahid, A. S. M. Kayes, “Leveraging Blockchain for Spoof-Resilient Robot Networks, 13th International Conference on Intelligent Robotics and Applications” (ICIRA 2020), LNCS, Springer, 2020.
  • Arpan Bhattacharjee, Shahriar Badsha, Abdur R. Shahid, Hanif Livani, Shamik Sengupta, “Block-Phasor: A Decentralized Blockchain Framework to Enhance Security of Synchrophasor”, 2020 IEEE Kansas Power and Energy Conference (KPEC), 2020
  • Abdur R. Shahid, Niki Pissinou, S. S. Iyengar, and Kia Makki. “Delay-aware privacy-preserving location-based services under spatiotemporal constraints.” International Journal of Communication Systems (2020): 
  • Abdur R. Shahid, Niki Pissinou, Corey Staier, and Rain Kwan. “Sensor-Chain: A Lightweight Scalable Blockchain Framework for Internet of Things”. In 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) (pp. 1154-1161). IEEE, 2019.
  • Abdur R. Shahid, Niki Pissinou, Sheila Alemany, Ahmed Imteaj, Kia Makki, and Laurent Njilla. “Quantifying Location Privacy in Permissioned Blockchain-based Internet of Things (IoT)”. In EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous), 2019.
  • Tang, Yujian, Samia, Tasnim, Niki Pissinou, S. S. Iyengar, and Abdur R. Shahid. “Reputation-Aware Data Fusion and Malicious Participant Detection in Mobile Crowdsensing.” In 2018 IEEE International Conference on Big Data (Big Data), pp. 4820-4828. IEEE, 2018.

Presentations

  • 2020 - "Lightweight Blockchain for Resource Constrained IoT". International E Conference on Computer Networks and Soft Computing, ICCNSC, 2020.
  • 2019 - "Trajectory Privacy Preservation and Lightweight Blockchain Techniques for Mobility-Centric IoT" - Florida International University.
  • 2018 - "KLAP for Real-World Protection of Location Privacy". Conference presentation at IEEE SERVICES.
  • 2018 - "Check-ins and Photos: Spatiotemporal Correlation-Based Location Inference Attack and Defense in Location-Based Social Networks" Conference presentation at IEEE Trustcom 2018.