Numan Saeed

As a dedicated researcher passionate about applying cutting-edge technology to healthcare, I specialize in AI for Healthcare, Machine Learning, Data Science, and MEMS Transducers. I completed my Doctor of Philosophy in Machine Learning at the prestigious Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), where I was a Ph.D. student at the BioMedIA lab, as advised by Professor Mohammad Yaqub. My research focuses on Deep Learning for Cancer Diagnosis and Prognosis, with a particular interest in exploring self-supervised learning and multimodal learning to solve disease diagnosis and prognosis problems.

Prior to my Ph.D., I obtained a Master’s in Microsystems Engineering from Masdar Institute of Science and Technology (now Khalifa University). During my time there, I worked with Dr. Jaime Viegas to model and characterize Piezoelectric Micromachined Ultrasonic Transducers (PMUTs), a type of MEMS device that can generate and detect ultrasound waves.

In addition to my academic achievements, I also have practical experience in the industry. I worked as a Senior Analytics Specialist at Etihad Airways, developing solutions for forecasting passenger bookings, predicting ancillary revenue, and Churn predictions using classical methods, 1D-CNN, and LSTM models. I also designed a mobile app for internal use that utilized web scraping routines for aviation news collection. I consistently delivered valuable insights to the business through data visualization and summarization of results.

I am a dedicated and enthusiastic researcher, constantly seeking ways to leverage my AI, machine learning, and data science expertise to make a meaningful impact in healthcare. I am always open to collaborations and opportunities to contribute to cutting-edge research projects.

You can contact me at numan.saeed@mbzuai.ac.ae

CV, Google Scholar, LinkedIn, Github

News!

[Jun-2023] Started as Visiting Researcher at TUM
[Jun-2023] 1 Paper accepted at Journal of Bioengineering.
[Jun-2023] 1 Paper accepted at MIUA 2023.
[Mar-2023] 1 Paper accepted at MIDL 2023.
[Feb-2023] Serving as a reviewer at MICCAI-2023.
[Aug-2022] Awarded the student travel award for MICCAI 2022 conference.
[May-2022] 1 Paper accepted at MICCAI 2022.
[Jan-2022] 1 Paper accepted at MIDL 2022.
[Oct-2021] 1 Paper accepted at MICCAI competition track.
[Aug-2021] Won the MiCCAI-Hecktor Prognosis competition.
[Jan-2021] Awarded Graduate Student Fellowship for PhD. at Mohamed Bin Zayed University of Artificial Intelligence.

Publications

Biomedical image analysis competitions: The state of current participation practice
Conference on Computer Vision and Pattern (CVPR), 2023

MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models
Under Review
Numan Saeed, Muhammad Ridzuan, Ikboljon Sobirov, Hussain Alasmawi, Mohammad Yaqub
Medical Image Analysis

TMSS: An End-to-End Transformer-Based Multimodal Network for Segmentation and Survival Prediction
Numan Saeed, Ikboljon Sobirov, Roba Al Majzoub, Mohammad Yaqub
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022

An ensemble approach for patient prognosis of head and neck tumor using multimodal data
Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, and Mohammad Yaqub
HECKTOR Competition, Held in Conjunction with MICCAI, 2022

Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?
Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub
Medical Imaging with Deep Learning (MIDL), 2022

Evaluating impact damage in Kevlar/carbon composites by using laser vibrometry and active infrared thermography
DA Derusova, VP Vavilov, AO Chulkov, BI Shagdirov, N Saeed, M Omar
Electronics Letters, 2020

Evaluating quality of marquetries by applying active IR thermography and advanced signal processing
AO Chulkov, S Sfarra, N Saeed, J Peeters, C Ibarra-Castanedo, G Gargiulo, G Steenackers, XPV Maldague, MA Omar, V Vavilov
Journal of Thermal Analysis and Calorimetry, 2020

MEMS multi-vibrating ring gyroscope for space applications
Waqas Amin Gill, Dima Ali, Boo Hyun An, Wajih U. Syed, Numan Saeed, Muneera Al-shaibah, Ibrahim M. Elfadel, Sultan Al Dahmani & Daniel S. Choi
Microsystem Technologies, 2020

Sensitivity and robustness of neural networks for defect-depth estimation in CFRP composites
Numan Saeed, Houda Al Zarkani, Mohammed A Omar
Journal of Nondestructive Evaluation, 2019

Optimizing input data for training an artificial neural network used for evaluating defect depth in infrared thermographic nondestructive testing
AO Chulkov, DA Nesteruk, VP Vavilov, AI Moskovchenko, N Saeed, M Omar
Infrared Physics & Technology, 2019

Automatic defects detection in CFRP thermograms, using convolutional neural networks and transfer learning
Numan Saeed,Nelson King a, Zafar Said b, Mohammed A. Omar
Infrared Physics & Technology, 2019

Sensor Design Migration: The Case of a VRG
Wajih U Syed, Boo Hyun An, Waqas Amin Gill, Numan Saeed, Muneera Al-Shaibah, Sultan Al Dahmani, Daniel Choi, Ibrahim Abe M Elfadel
IEEE Sensors Journal, 2019

Experimentally validated defect depth estimation using artificial neural network in pulsed thermography
Numan Saeed, Yusra Abdulrahman, Saed Amer, Mohammed A Omar
Infrared Physics & Technology, 2019

A neural network approach for quantifying defects depth for nondestructive testing thermograms
Numan Saeed, Mohammed A Omar, Yusra Abdulrahman
Infrared Physics & Technology, 2018 \

IR thermographic analysis of 3D printed CFRP reference samples with back-drilled and embedded defects
Numan Saeed, Mohammed A Omar, Yusra Abdulrahman, Sultan Salem, Ahmad Mayyas
Journal of Nondestructive Evaluation, 2018

A multiband rf mems switch with low insertion loss and cmos-compatible pull-in voltage
Alabi Bojesomo, Numan Saeed, Ibrahim M Elfadel
Symposium on Design, Test, Integration & Packaging of MEMS and MOEMS (DTIP), 2018

Piezoelectric micromachined ultrasonic transducers and micropumps: from design to optomicrofluidic applications
Shadi Khazaaleh, Numan Saeed, Inas Taha, Mateusz T Madzik, Jaime Viegas
Microfluidics, BioMEMS, and Medical Microsystems XV, 2017

pMUT+ ASIC integrated platform for wide range ultrasonic imaging
J Tillak, N Saeed, S Khazaaleh, J Viegas, J Yoo
Photons Plus Ultrasound: Imaging and Sensing, 2017

Stochastic versus Robust Optimization of wind-hydro power plant’s operational strategy
MS Javaid, Numan Saeed, AT Al-Awami, Zorays Khalid
International Multi-Topic Conference (INMIC), 2016

Automatic protocol configuration in single-channel low-power dynamic signaling for IoT devices
Shahzad Muzaffar, Numan Saeed, Ibrahim M Elfadel
IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 2016