ALVI ATAUR KHALIL

Grants

  1. NSF I-Corps: Automated AI Reliability Evaluation Tool (Award #2637735). Received an award from NSF for developing and analyzing the potential of an Automated AI Reliability Evaluation Tool. Amount: $50,000. Role: Principal Investigator (PI). Duration: Sep 2026 – Aug 2027.
  2. IEEE CS Emerging Tech Grant: An Agentic-AI Open Red-team & Assurance Community Lab. Received a grant from the IEEE Computer Society to run a hands-on community lab on the security of autonomous AI agents. Amount: $25,000. Role: Principal Investigator (PI). Duration: Aug 2026 – Dec 2027.
  3. NSF NAIRR Pilot Resource Grant (Award #NAIRR260054). Awarded a computing resource grant on NCSA Delta Super Computer from NSF NAIRR Pilot to support research on trustworthy AI systems. Amount: 10,000 GPU-hours on Super Computer. Role: Principal Investigator (PI). Duration: May 2026 – May 2027.
  4. IFLIP2 Fellowship: Innovative Flipped Learning Instructional Project, NSF IUSE Program (Award #2439762). Selected as a fellow in a three-year, multi-institutional STEM education reform cohort. Amount: $5,400. Role: Fellow. Duration: Sep 2025 – Aug 2028.

Journal Papers

  1. Tayebeh Rajabi*, Alvi Ataur Khalil*, Mohammad Hossein Manshaei, Mohammad Ashiqur Rahman, Mohammad Dakhilalian, Maurice Ngouen, Murtuza Jadliwala, and A. Selcuk Uluagac. “Feasibility Analysis for Sybil Attacks in Shard-Based Permissionless Blockchains.” In: ACM Distributed Ledger Technologies (DLT): Research and Practice. Publication date: 14 December, 2023.
  2. Alvi Ataur Khalil, Mohamed Y. Selim, and Mohammad Ashiqur Rahman. “Deep Learning-based Energy Harvesting with Intelligent Deployment of RIS-assisted UAV-CFmMIMOs.” In: Elsevier Computer Networks. Publication date: 01 June, 2023 (Impact factor: 4.4).
  3. A. H. M. Jakaria, Mohammad Ashiqur Rahman, Muneeba Asif, Alvi Ataur Khalil, Hisham A. Kholidy, Matthew Anderson, and Steven Drager. “Trajectory Synthesis for a UAV Swarm Based on Resilient Data Collection Objectives.” In: IEEE Transactions on Network and Service Management (TNSM). Publication date: 25 October, 2022 (Impact factor: 4.7).

US Patents

  1. Mohammad Ashiqur Rahman and Alvi Ataur Khalil. “Federated Deep Reinforcement Learning-Assisted UAV Trajectory Planning Against Hostile Defense System.”
    Patent number: US 12,566,450B2; Publication date: July 10, 2025; Date of Patent: Mar 3, 2026.

Conference Papers

Blockchain Security

  1. Alvi Ataur Khalil and Mohammad Ashiqur Rahman. “xPoz-Hub — Privacy Infiltration in Payment Channel Hubs through Balance Probing and Transaction Discovery.” In: 2025 Annual Computer Security Applications Conference (ACSAC 2025).
  2. Alvi Ataur Khalil, MGM Mehedi Hasan, and Mohammad Ashiqur Rahman. “OptiGame: Game-Theoretic Enhancements for Optimistic Rollups through Bayesian Strategies.” In: 21st EAI International Conference on Security and Privacy in Communication Networks (SecureComm 2025).
  3. Alvi Ataur Khalil and Mohammad Ashiqur Rahman. “RollGuard: Defending RPC Manipulation Attacks in Optimistic Rollups with Graph-Based AI.” In: 2025 26th International Symposium on Quality Electronic Design (ISQED).
  4. Alvi Ataur Khalil and Mohammad Ashiqur Rahman. “PAROLE: Profitable Arbitrage in Optimistic Rollup with ERC-721 Token Transactions.” In: 2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2024). Publication date: 30 August, 2024. Acceptance rate: 20%.
  5. Alvi Ataur Khalil, Mohammad Ashiqur Rahman, and Hisham A. Kholidy. “FAKey: Fake Hashed Key Attack on Payment Channel Networks.” In: 2023 IEEE Conference on Communications and Network Security (CNS 2023). Publication date: 27 October, 2023. Acceptance rate: 28%.
  6. Alvi Ataur Khalil, Javier Franco, Imtiaz Parvez, Selcuk Uluagac, Hossain Shahriar, and Mohammad Ashiqur Rahman. “A Literature Review on Blockchain-enabled Security and Operation of Cyber-Physical Systems.” In: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC). Publication date: 10 August, 2022.

Privacy and Security of Large Language Models

  1. Md Khalid Syfullah and Alvi Ataur Khalil. “LLM-Based Schema-Aware Split Learning for Privacy-Preserving Mental Distress Prediction Across Heterogeneous Surveys.” In: 2026 IEEE International Conference on E-Health Networking, Applications and Services (IEEE HealthCom 2026).
  2. Abdullahil Kafi and Alvi Ataur Khalil. “RAG-Narok: Retrieval-Aware Knowledge Corpus Poisoning in RAG with Source-specific Refutation.” In: 2026 IEEE International Conference on Machine Learning and Applications (ICMLA 2026).
  3. Md Khalid Syfullah and Alvi Ataur Khalil. “U-Shaped Split Learning for Visual Question Answering with Contribution-Aware Weighted Aggregation.” In: 2026 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2026).

UAV: Autonomous Navigation, Energy Harvesting, and Security

  1. Alvaro Alva, Luis Martinez Moreno, Muneeba Asif, Alvi Ataur Khalil, Mohammad Ashiqur Rahman, Alfredo Cuzzocrea, and Shahriar Hossain. “Secured UAV Navigation: A Novel Intrusion Detection System Based on PWM Signal Analysis.” In: 2024 11th IEEE Swiss Conference on Data Science (SDS). Publication date: 18 September, 2024.
  2. Alvi Ataur Khalil and Mohammad Ashiqur Rahman. “Adaptive Neuro-Fuzzy Inference System-Based Lightweight Intrusion Detection System for UAVs.” In: 2023 IEEE 48th Conference on Local Computer Networks (LCN 2023). Publication date: 06 September, 2023. Acceptance rate: 26%.
  3. Alvi Ataur Khalil and Mohammad Ashiqur Rahman. “FeD-UP: Federated Deep Reinforcement Learning-based UAV Path Planning against Hostile Defense System.” In: 18th International Conference on Network and Service Management (CNSM 2022). Publication date: 02 December, 2022. Acceptance rate: 19%.
  4. Alvi Ataur Khalil*, Alexander J. Byrne*, Mohammad Ashiqur Rahman, and Mohammad Hossein Manshaei. “REPlanner: Efficient UAV Trajectory-Planning using Economic Reinforcement Learning.” In: 2021 IEEE International Conference on Smart Computing (SMARTCOMP). Publication date: 08 October, 2021. Acceptance rate: 30%.
  5. Alvi Ataur Khalil, Mohamed Y. Selim, and Mohammad Ashiqur Rahman. “CURe: Enabling RF Energy Harvesting using Cell-Free Massive MIMO UAVs Assisted by RIS.” In: 2021 IEEE Conference on Local Computer Networks (LCN 2021). Publication date: 07 September, 2021. Acceptance rate: 28%.

Other Conference Papers

  1. Sibtain Syed, Alvi Ataur Khalil, Kishor Datta Gupta, Saima Jabeen, and Mohammad Ashiqur Rahman. “Query-Based Model Extraction Attack on GCN: A Surrogate Model Technique for Non-Euclidean Data.” In: AAAI Fall Symposium Series 2025 (AAAI FSS'25).
  2. Md Hasan Shahriar, Alvi Ataur Khalil, Mohammad Ashiqur Rahman, Mohammad Hossein Manshaei, and Dong Chen. “iAttackGen: Generative Synthesis of False Data Injection Attacks in Cyber-physical Systems.” In: 2021 IEEE Conference on Communications and Network Security (CNS 2021). Publication date: 10 February, 2022. Acceptance rate: 26%.
  3. Nur Imtiazul Haque*, Alvi Ataur Khalil*, Mohammad Ashiqur Rahman, M. Hadi Amini, and Sheikh Iqbal Ahamed. “BIOCAD: Bio-Inspired Optimization for Classification and Anomaly Detection in Digital Healthcare Systems.” In: 2021 IEEE International Conference on Digital Health (ICDH). Publication date: September 05, 2021. Acceptance rate: 20%.
  4. Alvi Ataur Khalil, Al Mahmud, and Asif Ahmed. “FicBit: An Improved Fractal Image Compression using Bio-Inspired Techniques.” In: 2021 5th International Conference on Electrical Information and Communication Technology (EICT). Publication date: 16 March, 2022.

* Co-first author.

Posters / Research Talks

  1. Represented FIU at the Academy of Science, Engineering, and Medicine of Florida (ASEMFL) by presenting a poster titled “State-root manipulation attack in optimistic rollup through updating the remote procedure call (RPC) address” at the Annual Meeting 2024.
  2. Presented a poster titled “SHiP: Securing Hashed Timelock Contracts in Payment Channel Networks” at the 2023 IEEE Conference on Communications and Network Security (CNS 2023).
  3. Presented a poster titled “Data-driven ANFIS-based IDS for UAV” at the FIU UGS Scholarly Forum 2023.