MUZAMMIL KHAN

@utwente.nl

Researcher in the Robotics and Mechatronics (RAM) Group at the Faculty of EEMCS, University of Twente, Enschede
University of Twente

MUZAMMIL KHAN


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https://researchid.co/muzammil_khan
Muzammil Khan is a researcher at the Faculty of EEMCS, University of Twente. His current research is focused on implementing simultaneous localization and mapping (SLAM) algorithms for improving laparoscopic liver resection. Prior to this, he was a Ph.D. scholar in the Department of Mathematics, Bioinformatics, and Computer Applications at the National Institute of Technology Bhopal, India. His broad research area encompasses modern computer vision and machine learning applications in the field of healthcare. He explored the topic of Optical Flow in his thesis titled “Novel Algorithms for Optical Flow Estimation and Its Application”. In his work, he developed mathematical models for accurate optical flow estimation and further utilized them with deep learning techniques to perform anomaly detection in image sequences. During his Ph.D., he wrote 12 journal articles, 15 international conferences, and 5 book chapter. He presented his research at 10 international conferences.

EDUCATION

Postdoc: Since Oct 2023 as a Computer Vision and Artificial Intelligence researcher in the Robotics and Mechatronics Group of University of Twente
Awarded on April 2024 and Submitted on Sep 2023 from Maulana Azad National Institute of Technology
CSIR-NET exam: Qualified on Aug 2019 in Mathematical Sciences
GATE (Graduate Aptitude Test in Engineering- 2019) exam: Qaulified on Mar 2019 in Mathematics
Master of Science: Awarded on Sep 2018 from Bundelkhand University Jhansi
Bachelor of Science: Awarded on May 2016 from Bundelkhand University Jhansi

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Vision and Pattern Recognition, Medical Laboratory Technology, Applied Mathematics, Arts and Humanities
24

Scopus Publications

100

Scholar Citations

6

Scholar h-index

3

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Unifying Scale-Aware Depth Prediction and Perceptual Priors for Monocular Endoscope Pose Estimation and Tissue Reconstruction
    M Khan, E Kerkhof, M Fusaglia, K Kuhlmann, T Ruers, FJ Siepel
    IEEE Access , 2026
    2026
    Citations: 1
  • Explainable and likelihood aware AI framework for MRI-based pixel-level bladder tumour prediction
    M Khan, AG de Groot, EB Cornel, AG van der Heijden, FJ Siepel
    Scientific Reports 15 (1), 40760 , 2025
    2025
  • Reliable Smoke Detection via Optical Flow-Guided Feature Fusion and Transformer-Based Uncertainty Modeling
    NK Mahala, M Khan, P Kumar
    arXiv preprint arXiv:2508.14597 , 2025
    2025
  • Unifying Scale-Aware Depth Prediction and Perceptual Priors for Monocular Endoscope Pose Estimation and Tissue Reconstruction
    M Khan, E Kerkhof, M Fusaglia, K Kuhlmann, T Ruers, F J. Siepel
    arXiv , 2025
    2025
  • Identification of Potential Biomarkers for Diabetes Mellitus Using Gene Expression Datasets, Machine Learning, and R Packages to Predict the Risk of Diabetes
    S Jena, P Kumar, D Mishra, M Khan
    Artificial Intelligence in Healthcare, 47-76 , 2024
    2024
  • Early Detection of Diabetic Foot Ulcers Using Optical Flow–Based Ensemble Learning CNN Framework
    B Singh, P Kumar, M Khan
    Artificial Intelligence in Healthcare, 26-46 , 2024
    2024
    Citations: 1
  • A Nonlinear Fractional Order Optical Flow and CNN Based Framework for Fire Prediction Using Smoke Features
    NK Mahala, M Khan, P Kumar
    2024 OPJU International Technology Conference (OTCON) on Smart Computing for … , 2024
    2024
    Citations: 1
  • A nonlinear fractional order variational model for the robust estimation of optical flow
    A Kumar, B Singh, M Khan, P Kumar
    2024 OPJU International Technology Conference (OTCON) on Smart Computing for … , 2024
    2024
  • Integration of Visual SLAM in Robot-Assisted Minimally Invasive Surgery: Advances, Challenges, and Solutions
    M Khan, F Siepel, T Ruers
    European Robotics Forum, 399-404 , 2024
    2024
    Citations: 1
  • Caputo derivative based nonlinear fractional order variational model for motion estimation in various application oriented spectrum
    M Khan, NK Mahala, P Kumar
    Sādhanā 49 (1), 1-28 , 2024
    2024
    Citations: 12
  • A Relative Analysis of Different CNN Based Models for COVID-19 Detection using CXR and CT Images
    P Kumar, D Jayaswal, M Khan, B Singh
    Procedia Computer Science 235, 3163-3173 , 2024
    2024
    Citations: 2
  • Ensemble learning and skip connection-based CNN framework for COVID-19 identification using CXR and CT images
    PK Muzammil Khan, Bhavana Singh
    International Journal of Computational Vision and Robotics , 2024
    2024
  • CNN-Based Fire Prediction Using Fractional Order Optical Flow and Smoke Features
    M Khan, P Kumar, NK Mahala
    Applications of Optimization and Machine Learning in Image Processing and IoT , 2023
    2023
    Citations: 6
  • A Non-Local Weighted Fractional Order Variational Model for Smoke Detection Using Deep Learning Models
    NK Mahala, M Khan, P Kumar
    TENCON 2023-2023 IEEE Region 10 Conference (TENCON), 146-151 , 2023
    2023
    Citations: 2
  • Fire Detection Using Level Set Segmentation Based Fractional Order Optical Flow and 4D Fire Features with Mixed Data CNN-LSTM Model
    M Khan, P Kumar
    TENCON 2023-2023 IEEE Region 10 Conference (TENCON), 152-157 , 2023
    2023
    Citations: 1
  • Smoke Detection Using its Static and Dynamic Features Based on Fractional Order Optical Flow and Deep Learning Models for Fire Prediction
    M Khan, NK Mahala, P Kumar
    2023 14th International Conference on Computing Communication and Networking … , 2023
    2023
    Citations: 1
  • Study of Various Deep Learning Models for COVID-19 Detection Based on Fractional Order Optical Flow
    B Singh, M Khan, P Kumar
    2023 14th International Conference on Computing Communication and Networking … , 2023
    2023
    Citations: 1
  • Prediction of Fire Signatures Based on Fractional Order Optical Flow and Convolution Neural Network
    S Gupta, M Khan, P Kumar
    Computer Vision and Image Processing: 7th International Conference, CVIP … , 2023
    2023
    Citations: 3
  • A Segmentation Based Robust Fractional Variational Model for Motion Estimation
    P Kumar, M Khan, NK Mahala
    Computer Vision and Image Processing: 7th International Conference, CVIP … , 2023
    2023
    Citations: 2
  • A level set based fractional order variational model for motion estimation in application oriented spectrum
    M Khan, P Kumar
    Expert Systems with Applications, 119628 , 2023
    2023
    Citations: 16

MOST CITED SCHOLAR PUBLICATIONS

  • A nonlinear modeling of fractional order based variational model in optical flow estimation
    M Khan, P Kumar
    Optik 261, 169136 , 2022
    2022.0
    Citations: 27
  • A level set based fractional order variational model for motion estimation in application oriented spectrum
    M Khan, P Kumar
    Expert Systems with Applications, 119628 , 2023
    2023.0
    Citations: 16
  • Caputo derivative based nonlinear fractional order variational model for motion estimation in various application oriented spectrum
    M Khan, NK Mahala, P Kumar
    Sādhanā 49 (1), 1-28 , 2024
    2024.0
    Citations: 12
  • Development of an IR Video Surveillance System Based on Fractional Order TV-Model
    P Kumar, M Khan, S Gupta
    2021 International Conference on Control, Automation, Power and Signal … , 2021
    2021.0
    Citations: 9
  • CNN-Based Fire Prediction Using Fractional Order Optical Flow and Smoke Features
    M Khan, P Kumar, NK Mahala
    Applications of Optimization and Machine Learning in Image Processing and IoT , 2023
    2023.0
    Citations: 6
  • Charbonnier-Marchaud Based Fractional Variational Model for Motion Estimation in Multispectral Vision System
    P Kumar, M Khan
    Journal of Physics: Conference Series 2327 (1), 012031 , 2022
    2022.0
    Citations: 6
  • Early Prediction of COVID-19 Suspects Based on Fractional Order Optical Flow
    P Kumar, M Khan
    2021 5th International Conference on Information Systems and Computer … , 2021
    2021.0
    Citations: 5
  • Prediction of Fire Signatures Based on Fractional Order Optical Flow and Convolution Neural Network
    S Gupta, M Khan, P Kumar
    Computer Vision and Image Processing: 7th International Conference, CVIP … , 2023
    2023.0
    Citations: 3
  • A Relative Analysis of Different CNN Based Models for COVID-19 Detection using CXR and CT Images
    P Kumar, D Jayaswal, M Khan, B Singh
    Procedia Computer Science 235, 3163-3173 , 2024
    2024.0
    Citations: 2
  • A Non-Local Weighted Fractional Order Variational Model for Smoke Detection Using Deep Learning Models
    NK Mahala, M Khan, P Kumar
    TENCON 2023-2023 IEEE Region 10 Conference (TENCON), 146-151 , 2023
    2023.0
    Citations: 2
  • A Segmentation Based Robust Fractional Variational Model for Motion Estimation
    P Kumar, M Khan, NK Mahala
    Computer Vision and Image Processing: 7th International Conference, CVIP … , 2023
    2023.0
    Citations: 2
  • A Vision Based Fractional Order TV-Model for Underwater Motion Estimation
    M Khan, P Kumar
    2021 IEEE Bombay Section Signature Conference (IBSSC), 1-6 , 2021
    2021.0
    Citations: 2
  • Unifying Scale-Aware Depth Prediction and Perceptual Priors for Monocular Endoscope Pose Estimation and Tissue Reconstruction
    M Khan, E Kerkhof, M Fusaglia, K Kuhlmann, T Ruers, FJ Siepel
    IEEE Access , 2026
    2026.0
    Citations: 1
  • Early Detection of Diabetic Foot Ulcers Using Optical Flow–Based Ensemble Learning CNN Framework
    B Singh, P Kumar, M Khan
    Artificial Intelligence in Healthcare, 26-46 , 2024
    2024.0
    Citations: 1
  • A Nonlinear Fractional Order Optical Flow and CNN Based Framework for Fire Prediction Using Smoke Features
    NK Mahala, M Khan, P Kumar
    2024 OPJU International Technology Conference (OTCON) on Smart Computing for … , 2024
    2024.0
    Citations: 1
  • Integration of Visual SLAM in Robot-Assisted Minimally Invasive Surgery: Advances, Challenges, and Solutions
    M Khan, F Siepel, T Ruers
    European Robotics Forum, 399-404 , 2024
    2024.0
    Citations: 1
  • Fire Detection Using Level Set Segmentation Based Fractional Order Optical Flow and 4D Fire Features with Mixed Data CNN-LSTM Model
    M Khan, P Kumar
    TENCON 2023-2023 IEEE Region 10 Conference (TENCON), 152-157 , 2023
    2023.0
    Citations: 1
  • Smoke Detection Using its Static and Dynamic Features Based on Fractional Order Optical Flow and Deep Learning Models for Fire Prediction
    M Khan, NK Mahala, P Kumar
    2023 14th International Conference on Computing Communication and Networking … , 2023
    2023.0
    Citations: 1
  • Study of Various Deep Learning Models for COVID-19 Detection Based on Fractional Order Optical Flow
    B Singh, M Khan, P Kumar
    2023 14th International Conference on Computing Communication and Networking … , 2023
    2023.0
    Citations: 1
  • Leveraging Mixed Data Cnn-Lstm with Fractional Order Optical Flow for Early Fire Detection and Xai-Guided Segmentation
    M Khan, NK Mahala, P Kumar
    Available at SSRN 5372325 , 0
    Citations: 1