Dr Imran Ahmed

Imran Ahmed is a senior lecturer in artificial intelligence primarily working in the areas of machine learning, data science, computer vision, medical image processing, surveillance systems, IoT, intelligent systems and real-life applications of artificial intelligence. He has international industry experience as a senior data scientist, data analytics, consultant and has worked on multiple funded research projects and innovative solutions for complex real-world challenges.

Email: [email protected]

• ResearchGate
• Google Scholar
• Orcid
• WebofScience
• LinkedIn

Background

Imran has an extensive academic, research, and industry background. Before joining ARU his leadership roles include working as Associate Professor, Director Research, Head of Department, and Course Leader. He has international industry experience as a senior data scientist/consultant.

As a leading expert in artificial intelligence and its applications across multiple disciplines, Imran is interested in pursuing interdisciplinary/cross disciplinary collaborative research. Specialising in machine learning, deep learning, computer vision and data science with a focus on medical imaging, surveillance systems, and anomaly detection, he pioneers innovative solutions for complex real-world challenges. Imran excels in integrating advanced technologies, implementing innovative applications, making him a pioneer in multidisciplinary AI solutions for a sustainable future and medical healthcare.

With an impressive publication record of over 100 research papers (>250 JCR impact factor) with a significant h-index and citations, Imran stands as a distinguished academician contributing significantly to the field of computer science and engineering. He is a double Gold Medalist and has achieved numerous awards and shields for his performance in teaching, research, and administration. Imran was also listed in the world's top 2% scientists by Stanford University, USA, in 2021 and 2022. He has a certificate of merit for his work on brain MRI analysis for tumour detection and segmentation.

Spoken Languages

• Pashto
• Urdu
• Hindi
• English

Research interests

• Artificial intelligence, data science, IoT, machine learning and deep learning
• Medical image analysis, disease predictions using machine learning (published work: patient discomfort detection, brain tumor detection, Covid-19 detection, pulmonary nodule detection, lung cancer classification in histopathology images, AI for genome sequence analysis of Covid-19, liver and lesion detection, chest abnormalities detection etc)
• AI in sustainability: environmental monitoring, precision farming, disaster management
• Anomaly detection in large datasets, IoT-enabled systems
• 3D object detection system
• Cyber security and AI
• Wireless Body Area Networks (WBAN)

Areas of research supervision

Imran supervises research in various domains, including medical imaging, healthcare informatics, surveillance systems, environmental monitoring, agricultural technology, recommender systems, anomaly detection, cyber security, public health, urban planning and and smart cities, augmented reality, and human-computer interaction.

Teaching

Modules at ARU:

• Applied Data Analysis and Research Methodology
• Principles of Data Mining and Machine Learning
• Analytical Techniques
• Professional Development
• Database Design and Implementation

Qualifications

• Postgraduate Certificate in Higher Education (PGCert), Anglia Ruskin University, 2023
• PhD in Electronics and Electrical Engineering, University of Southampton, UK
• Post Doctorate in Computer Engineering, University of Quebec, Canada; Incheon National University, South Korea
• MS by Research in Artificial Intelligence, IMSciences, Pakistan
• Master of Science in Computer Science, University of Peshawar, Pakistan
• BS Education, School and College level teaching, University of Peshawar, Pakistan
• BS (Mathematics, Science, Computer) Edwardes College, University of Peshawar
• School/College/University level instructors’ Trainer, IER, University of Peshawar
• Edexcel/GCSE/A-level teacher/Examiner (Mathematics, Science, Computer, English)

Memberships, editorial boards

• Fellow, Higher Education Academy (FHEA)
• Senior Member IEEE
• Member ACM Computer Society
• Senior Member Institute of Research Engineers and Doctors (IREED)
• Senior Member International Association of Engineers (IAENG)

Research grants, consultancy, knowledge exchange

Imran has led various research projects, including:

• Human surveillance and activity recognition
• Data analytics during Covid-19
• Sustainable healthcare
• Deep learning in medical imaging
• Sustainable environmental control
• Postdoctoral research projects on AI in Modern Society and Social Distance Monitoring during Covid-19 Pandemic

Principal Investigator - Human Surveillance and Activity Recognition: Leading two funded projects focused on innovative technologies, including overhead view analysis and Deep Learning, for enhanced Human Surveillance and Activity Recognition in Smart Campus Environments.

Principal Investigator - Data Analytics during Covid-19: Overseeing two projects dedicated to the Data Analytics of Clinical and Imaging Data, specifically addressing the challenges posed by the Covid-19 pandemic.

Head of Sustainable Healthcare Projects: Leading three funded projects that strategically apply Artificial Intelligence in the realm of Sustainable Healthcare, fostering innovation and sustainability in healthcare practices.

Head of Deep Learning in Medical Imaging Projects: Directing various projects that explore the applications of Deep Learning in medical imaging analysis, aiming to advance diagnostic capabilities and contribute to medical research.

Head of Sustainable Environmental Control Project: Leading a significant project focusing on Sustainable Environmental Control. This initiative involves developing an Internet-of-Things and AI-Powered Framework for Long-Term Flood Risk Evaluation, contributing to adaptive and resilient environmental management.

Post-Doctoral Research Projects:

• (2021): "Application of Artificial Intelligence in Modern Society" Exploring the multifaceted impact of Artificial Intelligence on contemporary living.
• (2020): "Social Distance Monitoring during Covid-19 Pandemic using Deep Learning"

Research Reviewer/Editor/Membership: Imran serves as an Associate Editor for IEEE Access Journal, reviews for several IEEE and Springer journals, and is a member of technical program committees for prestigious conferences.

Guest Editor:

• Journal Image and Signal Processing (Special Issue: Technologies)

Session Chair and Organizer for IEEE Workshops:

• • Cybersecurity Issues of IoT in Ambient Intelligence Environment
  • Connected Intelligence for IoT and Industrial IoT Applications
  • Real-Time Data Processing and Optimization in Industrial and IoT Applications
• Special Session on Cybersecurity Issues of IoT in Ambient Intelligence Environment (2nd Edition). In conjunction with IEEE 9th World Forum on the Internet of Things, 12–27 October 2023 // Aveiro, Portugal.
• W5-6th Workshop on Connected Intelligence for IoT and Industrial IoT Applications - C3IA. In conjunction with the 2023 IEEE 97th Vehicular Technology Conference: VTC2023-Spring, June 18-21, 2023, Florence, Italy.
• Real-Time Data Processing and Optimization in Industrial and IoT Applications. In conjunction with the IEEE Global Communications Conference (GLOBECOM), December 4 -8, 2022, Rio de Janeiro, Brazil.
• Special Session on IoT Special Session on Cybersecurity Issues of IoT in Ambient Intelligence (AmI) Environment. In conjunction with the IEEE 8th World Forum on the Internet of Things, October 26- November 11, 2022, Yokohama, Japan.
• 5th Connected Intelligence for IoT and Industrial IoT Applications (C3IA). In conjunction with the IEEE 96th Vehicular Technology Conference: VTC2022-Fall, London and Beijing on September 26-29, 2022.
• 1st International Workshop on Cybersecurity Issues of IoT in Ambient Intelligence environment (AmI, 2022). In conjunction with the 20th IEEE International Conference on Pervasive Intelligence and Computing (PICOM 2022). IEEE Cyber Science and Technology 2022, September 12-15, 2022, Calabria, Italy.
• 4th Connected Intelligence for IoT and Industrial IoT Applications (C3IA). In conjunction with the IEEE 95th Vehicular Technology Conference. VTC2022-Spring, June 19-22, 2022, Helsinki, Finland.
• W1: 3rd Workshop on Connected Intelligence for IoT and Industrial IoT Applications (C3IA). In conjunction with the 2021 IEEE 94th Vehicular Technology Conference. VTC2021-Fall, September 27-30, 2021, online.
• W5: Connected Intelligence for IoT and Industrial IoT Applications (C3IA). In conjunction with the 2021 IEEE 93rd Vehicular Technology Conference. VTC2021-Spring, April 25-28, 2021, online.
• W9: Real-time data processing in Industrial and IoT Applications. This workshop was co-located with the 2020 IEEE 92nd Vehicular Technology Conference. VTC2020-Fall, October 4-7, 2020, online.

Session Chair and Organizer for KES Workshops:

• • Global and Constrained Optimization: Algorithms and Applications
  • Edge Computing Technologies for Mobile Computing and IoT
  • Big Data Analytics in Sustainable and Smart City

• Global and Constrained Optimization: Algorithms and Applications (4th Edition). In conjunction with the 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, KES 2023, September 6-8, 2023, Athens, Greece.
• Edge Computing Technologies for Mobile Computing and Internet of Things (3rd Edition). In conjunction with KES Smart Digital Futures multi-conference HCIS 2023, June 14-16, 2023, Rome, Italy.
• Big Data Analytics in Sustainable and Smart City (3nd Edition). In conjunction with the 13th International Conference on Sustainability in Energy and Buildings SEB-23, September 18-20, 2023, Bari, Italy.
• Edge Computing Technologies for Mobile Computing and Internet of Things (3rd Edition). In conjunction with the 16th International Conference on Human Centred Intelligent Systems, HCIS-23, June 14-16, 2023, Rome, Italy.
• Big Data Analytics in Sustainable and Smart City (2nd Edition). In conjunction with the 13th International Conference on Sustainability in Energy and Buildings SEB-22, September 14-16, 2022, Split, Croatia.
• Global and Constrained Optimization: Algorithms and Applications (3rd Edition). In conjunction with the 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, KES 2022, September 7-9, 2022, Verona, Italy.

Selected recent publications

Over 100 publications with more than 3,000 citations, over 250 total impact factor (JCR) and h-index > 30: Google Scholar and ResearchGate.

Some recent publications are:

Ahmed, I., Chehri, A., & Jeon, G., 2023. Artificial Intelligence and Blockchain Enabled Smart Healthcare System for Monitoring and Detection of COVID-19 in Biomedical Images. IEEE/ACM Transactions on Computational Biology and Bioinformatics, July 12, 2023. DOI: 10.1109/TCBB.2023.3294333.

Ahmed, I., Ahmad, M., Chehri, A., & Jeon, G., 2023. A Heterogeneous Network Embedded Medicine Recommendation System Based on LSTM. Future Generation Computer Systems, July 2023, Volume 149, Pages 1-11. DOI: 10.1016/j.future.2023.07.004.

Ahmed, I., Ahmad, M., Chehri, A., & Jeon, G., 2023. A Smart-Anomaly-Detection System for Industrial Machines Based on Feature Autoencoder and Deep Learning. Micromachines, January 7, 2023, Volume 14, Issue 1, Article 154. DOI: 10.3390/mi14010154.

Ahmed, I., & Jeon, G., 2023. A Smart IoT Enabled End-to-End 3D Object Detection System for Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems, Early Access August 2023. DOI: 10.1109/TITS.2022.3210490.

Ahmed, I., Chehri, A., & Jeon, G., 2023. Automated pulmonary nodule classification and detection using deep learning architecture. International Journal of Intelligent Systems, July-August 2023, Volume 20, Issue 4. DOI: 10.1002/int.22852.

Sunila Anjum, Imran Ahmed, Muhammad Asif, Hanan Aljuaid, Fahad Alturise, and Rashad Elhabob, 2022. Lung Cancer classification in histopathology images using Multi-Resolution Efficient Nets. Computational Intelligence and Neuroscience, 2023.

Imran Ahmed, Gwanggil Jeon, and Abdellah Chehri, 2023. Deep Learning-Based Intrusion Detection System for Internet of Vehicles. IEEE Consumer Electronics Magazine, January 1, 2023. DOI: 10.1109/MCE.2021.3139170.

Achmamad, A., El Fezazi, M., Chehri, A., & Rachid, S., 2023. ML-Based Identification of Neuromuscular Disorder Using EMG Signals for Emotional Health Application. ACM Transactions on Internet Technology, December 2023.

Sustainability-related publications:

Ahmed, I., Ahmad, M., Jeon, G., 2022. A sustainable advanced artificial intelligence-based framework for analysis of COVID-19 spread. Environment Development and Sustainability, August 2022.

Ahmed, I., Zhang, Y., Jeon, G., Qi, L., 2022. A blockchain- and artificial intelligence-enabled smart IoT framework for sustainable city. International Journal of Intelligent Systems, February 2022.

Ahmed, I., Chehri, A., & Jeon, G., 2022. A Sustainable Deep Learning-Based Framework for Automated Segmentation of COVID-19 Infected Regions: Using U-Net with an Attention Mechanism and Boundary Loss Function. Electronics, July 2022. 

Chehri, A., Jeon, G., Fofana, I., & Rachid, S., 2021. Accelerating Power Grid Monitoring with Flying Robots and Artificial Intelligence. IEEE Communications Standards Magazine, December 2021.

Ahmed, I., Jeon, G., Chehri, A., & Hassan, M. M., 2021. Adapting Gaussian YOLOv3 with transfer learning for overhead view human detection in smart cities and societies. Sustainable Cities and Society, July 2021.