Prof. Misha Urooj Khan is an accomplished electronics engineer and researcher whose multifaceted expertise spans embedded systems, quantum computing, AI/ML, and cybersecurity. 🎓 With a master’s degree focused on FPGA-based real-time SLAM and extensive experience at CERN, NCP, COMSATS, and UET, she has authored 10 journal papers, 17 conference articles, and earned 658 citations. 💡 Her work includes groundbreaking innovations like drone-resistant cryptography, AI-driven healthcare devices (USteth, ThalaScreen), and predictive analytics for disaster management. 🛰️ As an inventor on a patented drone-detection system and mentor to numerous interns and students across global institutions, she demonstrates strong leadership and social impact. 🌍 Recognized with awards and competitive startup funding, Prof. Khan’s strategic vision and interdisciplinary contributions make her a standout candidate for the Best Researcher Award. 🏆

Professional Profile

• Google Scholar
• Scopus Profile
• ORCID Profile

📚 Education

Professor Misha Urooj Khan holds a Master’s degree in Electronics Engineering from the University of Engineering & Technology Taxila (2019–2022), specializing in real-time FPGA-based Simultaneous Localization and Mapping (SLAM). She earned her B.Sc. in Electronics Engineering (2015–2019) from the same institution, focusing on embedded systems, FPGA design, and neural networks, and implemented an automatic wheezing detection system for her thesis. With a solid grounding in both hardware and software design, she developed strong analytical and technical skills in digital design, signal processing, and machine learning. Her rigorous academic training laid the foundation for her multidisciplinary research career, enabling seamless integration of theory and application across quantum computing, AI-enhanced embedded systems, cyber‑physical systems, and robotics. These educational credentials articulate her commitment to innovation and technology-driven problem solving.

💼 Professional Experience

Professor Khan’s career spans internationally recognized institutions such as CERN, NCP, COMSATS, UET, and King Fahd University. As a Software Developer for CERN’s CMS experiment (2024–2025), she developed database schemas, business logic, and automated migrations, contributing to high-performance scientific computing environments. At Open Quantum Initiative and NCP (2023–2026), she implemented quantum machine learning, error mitigation techniques, sensor-fusion robotics, and AI-driven predictive systems. Her research at COMSATS (2022) focused on intelligent UAV detection using edge devices. Earlier roles included designing biomedical signal-processing systems and embedded real-time detection boards (UET Taxila, 2018–2022). Recently, at King Fahd University, she’s spearheading lightweight, quantum-resistant cybersecurity protocols for drones. Across each role, she has demonstrated exceptional technical proficiency, leadership in mentoring interns, and impactful contributions to system deployment, publication, and product innovation.

🔬 Research Interests

Professor Khan’s research spans quantum computing, artificial intelligence, embedded systems, and cybersecurity—integrating these domains to solve complex real-world problems. Within quantum computing, she investigates noise modeling, error mitigation, quantum machine learning (QSVM, QNN, VQC), and oracle‑based functions on IBM quantum processors. Her AI/ML projects include domain-generalized image translation frameworks like R2TGenNet and T2RGenNet, predictive fault‑diagnosis for rotary equipment, YOLO-based object detection, and AI‑enhanced decision support. In embedded systems, she specializes in FPGA‑based SLAM, real‑time sensor fusion (LiDAR, RGB/depth cameras, IMU), and custom hardware for biomedical signal acquisition. Her current interest lies in quantum‑resistant cryptographic protocols tailored for UAV communication systems. She is passionate about bridging quantum‑AI with cybersecurity to enable secure, intelligent, and autonomous applications across healthcare, robotics, disaster response, and aerospace.

🏅 Awards and Honors

Professor Khan has earned recognition across academia, innovation, and professional excellence. She holds 658 citations (2025) and was awarded 2nd place for her presentation on “Noise Modeling and Error Mitigation on Quantum Computers” at ICTP Trieste, March 2024. Other distinctions include runner-up in the PMNIA startup pitching (June 2023), Best Presenter shields at IBCAST’23 and IEEC’21, and funding awards for USteth and ThalaScreen prototypes (2022). Her startup PAK‑AeroSafe qualified at regional and national levels and achieved runner-up status at Hackathon’23 (February 2023). Academic engagement includes first positions in university fairs (2019), community science awards since 2012, and multiple national scholastic honors. These accolades highlight her consistent excellence in research, presentation, innovation, and community engagement.

🛠️ Research Skills

Professor Khan possesses a versatile and comprehensive set of skills across computing, hardware design, and data science. She is adept in FPGA/embedded system design (Verilog/VHDL), real‑time algorithm development, and robotics navigation with ROS and Jetson hardware. Her ML proficiency spans classic and deep learning (SVM, KNN, RF, YOLOv5-v11, VGG16/19, GANs, Autoencoder), and she designs bespoke frameworks (R2TGenNet, T2RGenNet). In quantum research, she handles noise modeling, quantum gate design, error mitigation, oracle functions, and algorithm implementation on IBM quantum simulators and hardware. She also excels in sensor fusion (LiDAR/IMU/RGB/Depth), GUI creation, digital signal processing, and AI-based healthcare tools. Her programming languages include Python, Qiskit, MATLAB, and Linux-based deployment, complemented by strong skills in mentoring, proposal writing, and cross-disciplinary collaboration.

Publications Top Notes 📝

• Title: A comparative survey of lidar-slam and lidar based sensor technologies
  Authors: MU Khan, SAA Zaidi, A Ishtiaq, SUR Bukhari, S Samer, A Farman
  Year: 2021
  Citations: 156
  Source: Mohammad Ali Jinnah University International Conference on Computing

• Title: Artificial neural network-based cardiovascular disease prediction using spectral features
  Authors: MU Khan, S Samer, MD Alshehri, NK Baloch, H Khan, F Hussain, SW Kim, et al.
  Year: 2022
  Citations: 39
  Source: Computers and Electrical Engineering 101, Article 108094

• Title: Classification of eye diseases and detection of cataract using digital fundus imaging (DFI) and inception-V4 deep learning model
  Authors: A Raza, MU Khan, Z Saeed, S Samer, A Mobeen, A Samer
  Year: 2021
  Citations: 34
  Source: 2021 International Conference on Frontiers of Information Technology (FIT)

• Title: Safespace mfnet: Precise and efficient multifeature drone detection network
  Authors: MU Khan, M Dil, MZ Alam, FA Orakazi, AM Almasoud, Z Kaleem, C Yuen
  Year: 2023
  Citations: 33
  Source: IEEE Transactions on Vehicular Technology 73(3), 3106-3118

• Title: Spectral analysis of lung sounds for classification of asthma and pneumonia wheezing
  Authors: SZH Naqvi, M Arooj, S Aziz, MU Khan, MA Choudhary
  Year: 2020
  Citations: 31
  Source: 2020 International Conference on Electrical, Communication, and Computer

• Title: Supervised machine learning based fast hand gesture recognition and classification using electromyography (EMG) signals
  Authors: MU Khan, H Khan, M Muneeb, Z Abbasi, UB Abbasi, NK Baloch
  Year: 2021
  Citations: 29
  Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

• Title: A review of system on chip (SoC) applications in Internet of Things (IoT) and medical
  Authors: A Ishtiaq, MU Khan, SZ Ali, K Habib, S Samer, E Hafeez
  Year: 2021
  Citations: 28
  Source: ICAME21, International Conference on Advances in Mechanical Engineering

• Title: Identification of leaf diseases in potato crop using Deep Convolutional Neural Networks (DCNNs)
  Authors: Z Saeed, MU Khan, A Raza, N Sajjad, S Naz, A Salal
  Year: 2021
  Citations: 23
  Source: 16th International Conference on Emerging Technologies (ICET)

• Title: Classification of Multi-Class Cardiovascular Disorders using Ensemble Classifier and Impulsive Domain Analysis
  Authors: MU Khan, SZZ Ali, A Ishtiaq, K Habib, T Gul, A Samer
  Year: 2021
  Citations: 22
  Source: Mohammad Ali Jinnah University International Conference on Computing

• Title: Automated system design for classification of chronic lung viruses using non-linear dynamic system features and k-nearest neighbour
  Authors: MU Khan, A Farman, AU Rehman, N Israr, MZH Ali, ZA Gulshan
  Year: 2021
  Citations: 22
  Source: Mohammad Ali Jinnah University International Conference on Computing

• Title: Embedded system design for real-time detection of asthmatic diseases using lung sounds in cepstral domain
  Authors: MU Khan, A Mobeen, S Samer, A Samer
  Year: 2021
  Citations: 22
  Source: 6th International Electrical Engineering Conference (IEEC)

• Title: Stability enhancement of commercial Boeing aircraft with integration of PID controller
  Authors: AU Rehman, MU Khan, MZH Ali, MS Shah, MF Ullah, M Ayub
  Year: 2021
  Citations: 21
  Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

• Title: Classification of pulmonary viruses X-ray and detection of COVID-19 based on invariant of inception-V3 deep learning model
  Authors: Z Saeed, MU Khan, A Raza, H Khan, J Javed, A Arshad
  Year: 2021
  Citations: 19
  Source: 2021 International Conference on Computing, Electronic and Electrical

• Title: Classification of phonocardiography based heart auscultations while listening to Tilawat-e-Quran and music using vibrational mode decomposition
  Authors: MU Khan, S Samer, A Samer, A Mobeen, A Arshad, H Khan
  Year: 2021
  Citations: 18
  Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

• Title: MSF-GhostNet: Computationally-Efficient YOLO for Detecting Drones in Low-Light Conditions
  Authors: M Misbah, MU Khan, Z Kaleem, A Muqaibel, MZ Alam, R Liu, C Yuen
  Year: 2024
  Citations: 5
  Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

• Title: Multi-Sensor Fusion for Remote Sensing of Metallic and Non-metallic Object Classification in Complex Soil Environments and at Different Depths
  Authors: MU Khan, MA Kamran, WR Khan, MM Ibrahim, MU Ali, SW Lee
  Year: 2024
  Citations: 5
  Source: IEEE Transactions on Geoscience and Remote Sensing

• Title: Mathematical Modelling and Implementation of 2DOF Standard, Parallel & Series PID Controllers
  Authors: AU Rehman, MU Khan, MT Rehman, W Shehzad, S Zaman, MW Khan
  Year: 2021
  Citations: 5
  Source: 6th International Multi-Topic ICT Conference (IMTIC)

• Title: Diabetes Prediction Using an Optimized Variational Quantum Classifier
  Authors: WR Khan, MA Kamran, MU Khan, MM Ibrahim, KS Kim, MU Ali
  Year: 2025
  Citations: 4
  Source: International Journal of Intelligent Systems 2025 (1), Article 1351522

• Title: Deep Learning Empowered Fast and Accurate Multiclass UAV Detection in Challenging Weather Conditions
  Authors: MU Khan, M Dil, M Misbah, FA Orakazi, MZ Alam, Z Kaleem
  Year: 2022
  Citations: 4
  Source: Conference Publication

• Title: Brain Tumor Detection Based on Magnetic Resonance Imaging Analysis Using Segmentation, Thresholding and Morphological Operations
  Authors: MU Khan, H Khan, A Arshad, NK Baloch, A Shaheen, F Tariq
  Year: 2021
  Citations: 3
  Source: 6th International Multi-Topic ICT Conference (IMTIC)

• Title: SMSAT: A Multimodal Acoustic Dataset and Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation
  Authors: A Suleman, Y Alkhrijah, MU Khan, H Khan, MAHA Faiz, MA Alawad, et al.
  Year: 2025
  Source: arXiv preprint arXiv:2505.00839

• Title: Migration of CADI to Fence
  Authors: M Imran, MU Khan, RMA Shad, A Samantas, A Pfeiffer, J Closier
  Year: 2025