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Munawar Hasan

What I cannot create, I do not understand
- Richard Feynman
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Research Interests

Cryptography, Artificial Intelligence, Blockchain, Quantum Computing


Contact Me:
munawar3008@gmail.com, munawar.hasan@nist.gov

I am a reseacher, currently based in Washington, D.C. I am working as a Foreign Guest Researcher at NIST (National Institute of Standards and Technology) in the Computer Security Division. My primary area of research is Cryptography and Artificial Intelligence.

Cryptography: My research focus is on cryptographic algorithms and security analysis. Currently, I am working on theoretical and practical aspects of authenticated encryption schemes (or AEAD) in the lightweight category.
Lynx: family of lightweight authenticated encryption schemes based on a tweakable blockcipher. It provides birthday bound security for integrity security in both nonce respecting as well as nonce misuse and RUP scenarios, as well as birthday bound security for privacy in nonce respecting scenario.
I have also worked extensively in biometric cryptosystem, and implemented several Iris Recognition Systems for extremely low power and resource constraint devices.

AI: I am working in the NIST Automated Vehicle Program, for autonomous driving in the Automated Vehicle AI Team under Strategic and Emerging Research Initiatives (SERI). Research focus is probabilistic ML, uncertainty estimation for various computer vision tasks like classification and detection.
Previously: I have worked on several NLP tasks and meta-learning techniques involving LLMs.

In the past, I have worked with various firms like ETRI, Irisys, Merlot lab, Seoho electric , DXC Technology (formerly Computer Sciences Corporation) etc. on several projects and research topics in the field of cryptography, AI and related areas. I am the creater of SSE-DB[sunset], which is a restricted relational database based on searchable symmmetric encryption. Written a quantum simulator, some quantum algorithms can be tried at this link.

Technical Skills

  • Programming:
    C, Java, Python, Julia, Android, Swift, Latex.
  • Framework and tools:
    PyTorch, PyTorch Lightning, Tensorflow, Keras, OpenCV, CUDA, Hyperledger Fabric, Android Kernel(BSP).
  • IDE:
    Mathematica, MATLAB, Clion, Pycharm, Android Studio, Xcode, VS Code, Eclipse.
  • Hardware:
    NVIDIA Jetson TX2, LockIT(Rockchip), ESP32, Arduino (Uno, Nano, Due), Nordic nRF52, Movidius, Raspberry Pi, RP2040.

Publications

  • Meta learning with language models: Challenges and opportunities in the classification of imbalanced text
    Apostol Vassilev, Honglan Jin, Munawar Hasan.
    arXiv Link.
  • Lynx: Family of Lightweight Authenticated Encryption Schemes based on Tweakable Blockcipher
    Munawar Hasan, Donghoon Chang.
    Cryptology ePrint Link.
  • On Security of Fuzzy Commitment Scheme for Biometric Authentication.
    Donghoon Chang, Surabhi Garg, Munawar Hasan, Sweata Mishra.
    Published in ACISP 2022.
  • Can you tell? SSNet - a Sagittal Stratum-inspired Neural Network Framework for Sentiment Analysis.
    Apostol Vassilev, Munawar Hasan, Honglan Jin.
    Published in LOD 2021.
  • BIOFUSE: A Framework For Multi-Biometric Fusion On Biocryptosystem Level.
    Donghoon Chang, Surabhi Garg, Mohona Ghosh, Munawar Hasan.
    Published in Elsevier Information Sciences.
  • Cancelable Multi-biometric Approach using Fuzzy Extractor and Novel Bit-wise Encryption.
    Donghoon Chang, Surabhi Garg, Munawar Hasan, Sweata Mishra.
    Published in IEEE TIFS.
  • Multi-lane Detection Using Instance Segmentation and Attentive Voting.
    Donghoon Chang, Vinjohn Chirakkal, Shubham Goswami, Munawar Hasan, Taekwon Jung, Jinkeon Kang, Seok-Cheol Kee, Dongkyu Lee, Ajit Pratap Singh.
    Published in ICCAS-2019.
  • Spy Based Analysis of Selfish Mining Attack on Multi-Stage Blockchain, Cryptology.
    Donghoon Chang, Munawar Hasan, Pranav Jain.
    Cryptology ePrint Link.

Lectures, Talks and Workshops

  • Invited for a talk on Meta-Learning technique for HateSpeech Detection at Artificial Intelligence Community of Interest (AI COI), NIST, Gaithersburg, MD, November 2023.
  • CAMLIS 2023: Conference on Applied Machine Learning for Information Security, Arlington, VA, October, 2023.
  • Third NIST Workshop on Block Cipher Modes of Operation, National Cybersecurity Center of Excellence (NCCoE), Rockville, MD, October 2023.
  • MPTS 2023: NIST Workshop on Multi-party Threshold Schemes (Online), September 2023.
  • Team Presentation: Robust AI for ADS at Standards and Performance Metrics for On-Road Automated Vehicles Workshop (Online), Video Recording (09072023 CH 2), September 2023.
  • Poster Presentation: Meta Learning with Language Models for Hate Speech Detection at ITL Science Day, NIST, October 2022.
  • Paper Presentation at Conference on Machine Learning, Optimization, and Data Science (LOD), October 2021 (online participation).
  • Poster Presentation: SSNet - A Sagittal Stratum-inspired Neural Network Framework for Sentiment Analysis at ITL Science Day, NIST, October 2020.
  • Invited for a talk on GPU Cluster at NIST, Gaithersburg, MD, August 2020.
  • Invited for a talk on Hyperledger Fabric and Anti-Spoofing using AI at ETRI (Electronics and Telecommunications Research Institute), Daejeon, South Korea, April 2019.
  • Invited for a two day lecture on Quantum Computing at IIT Delhi, March 2019.
  • FIDO2 Certification for Iris based Authenticator, Seoul, South Korea, October 2018.
  • Invited for a three day lecture on Quantum Computing at IIIT Delhi, April 2018.
  • Exhibitor at RSA Conference, Moscone Center, San Francisco, CA, February 2017.
  • FIDO UAF Certification for Iris based Authenticator, Fremont, CA, December 2016.

Copyright © 2023 Munawar Hasan