Engr. Dr. M. Umar Khan

Welcome to the site!

As an early-career researcher, Umar's international experiences culminate in his role as an Assistant Professor at COMSATS University Islamabad, Pakistan, where he writes grant proposals and teaches AI and computing to undergraduates. He is a Telecommunication Engineer with a Master's and a Ph.D. in Telematics Engineering from Universidad Carlos III de Madrid (UC3M). His diverse research interests encompass bioinformatics, hazard detection, and optimizing next-generation and IoT networks using AI/ML grounded in real data. He is passionate about leveraging technology and data-driven insights for innovation. He is working on several community and industrial projects and offering trainings to make Pakistan a better place by using technology. He is passionate about R&D.

Let's connect to explore collaborative opportunities in these dynamic fields. Together, we can positively impact our lives and the world around us!

If you are interested in my research, project, or services, please drop me an email.

Google Scholar | Research Gate | LinkedIn | Kaggle | Instagram

#TelecomEngineering #Telematics #Bioinformatics #AI #IoT #Research #Innovation #PhD #UC3M

Data Scientist Certification - Microsoft

Achieved Data Scientist Certification from Microsoft Azure, Credential ID 161F7A44426D54A5, Nov 2025. 

Open Positions in Computer Vision [OPEN]

Postdoctoral Bootcamp

Graduated from 'Train the Trainers' Data Science Bootcamp by the Ministry of Information and Telecommunication (MoITT), Islamabad, Pakistan. details here

Published a book chapter:

14. 'Comparative Analysis of Machine Learning Methods for Enhancing Sleep Efficiency and Prediction' has been published as a book chapter under the topic of Computer Vision, NLP, LLMs and Data Analysis by the Springer book titled as 'Advances in Smart Medical, IoT & Artificial Intelligence'. This book includes a selection of articles from the First International Conference on Smart Medical, IoT & Artificial Intelligence – ICSMAI’24, held in Saidia, Morocco, from April 18 to 20, 2024. Link to the chapter: https://lnkd.in/d_gn3pD6 - Research Gate link: https://lnkd.in/dXPVPye4 

IoT Unplugged Summer Camp, As a trainer, I conducted 24 hours training on the Internet of things covering the basics of electronics, hands-on with microcontrollers and sensors to the HTTP and MQTT servers, 5 to 28 August, 2024.   

Highlights of DAY01 - Introduction to Data Science, 1- Introduction to Data, 2- Potential of AI with Data, 3- Building blocks of Data Science, 4- What is AI?, 5- AI applications and case studies, LinkedIn link to highlights: here

Highlights of DAY02 - Data Science in Action, 1- Intro to basic search algorithms, 2- Clustering techniques, 3- Density-based clustering, 4- Classification techniques, 5- Regression techniques, 6- Data Visualization, LinkedIn link to highlights: here

Training on Emerging Technologies, Data Science | IoT | AI, We have successfully conducted our first training on emerging technologies i.e., AI, data science and IoT. We discussed various directions, from medical imaging to audio signals, genetics data analytics, and the role of internet of things (IoT) in the context of data acquisition and visualization for data-driven decision-making. LinkedIn link to highlights: here

Keynote talk titled 'Empowering Healthcare with IoT and AI', in Sino-Pak Center for AI, Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology, Haripur Pakistan. LinkedIn link to highlights: here

Keynote talk titled 'Empowering Healthcare with IoT and AI: Enhancing Medical Diagnosis and Treatment', in an International conference on smart medical iot and artificial intelligence, Saidia, Morocco, April 2024. [details here] 

Published a journal paper:

13. Quantitative Studies Of Deep Reinforcement Learning In Gaming, Robotics, And Real-World Control Systems, M. Umar Khan, Mehak, S., Yasir, W., Anwar, S., Majeed, M. U., & Ramzan, Bulletin of Business and Economics (BBE) 12 (2), 389-395.

Published paper in Springer ICMAI'24:

12. Comparative Analysis of Machine Learning Methods for Enhancing Sleep Efficiency and Prediction (ICMAI'24, Saidia, Morocco)

Open Positions in Computer Vision [CLOSED]

Grant obtained for Computer Vision Projects (Bioinformatics)

The following projects are in collaboration with Translational Genomics Lab CUI.

1. From data to insights: Harnessing the synergy of AI and Omics for reliable clinical classification and biomarker discovery of Alzheimer's. [Principal Investigator, Status: Active, Details]

2. Resource Allocation for the Collection of Human Genetic, Medical and Environmental Data in Member States: Unlocking the Power of Words through Genomic Big Data Sciences: A multidisciplinary Framework for Precision Health System for Alzheimer’s. [Co-Principal Investigator, Status: Active, Details]

Addressing Pakistan's Energy Crisis: AI-based Optimization of Vertical Transportation, funded by the Ministry of Information Technology and Telecommunication (MoITT) under High Impact Skills Bootcamp (HISB). [active]

Startup - Neuroscan Pro: One of the Selected Startups of the 5th Cohort of NEP Rawalpindi from Ministry of IT and Telecom Pakistan | Punjab Information Technology Board, more details by PITB here. [active]

Published papers in IEEE IBCAST:

11. Unlocking the power of Genes: Prediction of Breast Cancer Survival assisted by Machine Learning (IEEE IBCAST, 2023) 

10. From images to insights: Leveraging machine learning for detecting and classifying Alzheimer’s (IEEE IBCAST, 2023) 

Published a paper:

9. Ali, R., Akhtar, Z., Bamba, K. et al. Tunneling and thermodynamics evolution of the magnetised Ernst-like black hole. Gen Relativ Gravit 55, 28 (2023). https://doi.org/10.1007/s10714-023-03080-0 

Published a paper:

8.  M. Umar Khan, M. Azizi, A. García-Armada and J. J. Escudero-Garzás, "Unsupervised Clustering for 5G Network Planning Assisted by Real Data," in IEEE Access, vol. 10, pp. 39269-39281, 2022, doi: 10.1109/ACCESS.2022.3165799. 

Published a paper:

7. M. U. Khan, A. García-Armada and J. J. Escudero-Garzás, "Service-based network dimensioning for 5G networks assisted by real data," in IEEE Access, vol. 8, pp. 129193-129212, 2020, doi: 10.1109/ACCESS.2020.3009127. 

Published a Book Chapter:

6. M. Umar khan, Mostafa Azizi, Ana Garcia Armada, Joaquin Escudero Garzas, "Heuristic for network planning based on 5G services", in Advances in Smart Technologies Applications and Case Studies, Lecture Notes in Electrical Engineering, Springer, 2021, doi: 10.1007/978-3-030-53187-4_1.

Published a paper:

5. D. Larrabeiti, M. Umar, R. Sanchez and J. A. Hernandez, "Heuristics for PON-based 5G backhaul design," in 16th International Conference on Transparent Optical Networks (ICTON), 2014, pp. 1-2, doi: 10.1109/ICTON.2014.6876513.      

Published a paper:

4. M. U. Khan and A. M. Lopez, "Satellite assisted underwater radio communication for emergency services," in International Conference on Collaboration Technologies and Systems (CTS), 2014, pp. 541-544, doi: 10.1109/CTS.2014.6867621. 

Published a paper:

3. M Umar Khan, Imad Siraj, Nadeem Javaid, "Analytical evaluation of proactive routing protocols with route stabilities under two radio propagation models", in 3rd International Conference on Advances in Cognitive Radio (COCORA), 2013, doi=10.1.1.677.6049.

Published a paper:

2. M. A. Qureshi, M. U. Khan, M.A. Khan, "Emerging applications of cognitive radios", in 3rd International Conference on Advances in Cognitive Radio (COCORA), 2013, doi=10.1.1.676.7559.

Published a paper:

1. N. Javaid, A. Bibi, Z. A. Khan, M. U. Khan and K. Djouani, "Evaluating wireless proactive routing protocols under scalability and traffic constraints," in IEEE International Conference on Communications (ICC), 2012, pp. 477-781, doi: 10.1109/ICC.2012.6364351.