Dr Muhammad Adil Raja

Assistant Lecturer
Department of Visual and Human-Centred Computing
[email protected]
+353 (0)42 9370200

Biography

Dr. Muhammad Adil Raja is an accomplished academic and researcher specializing in Computer Science, Machine Learning, and Data Science. He currently serves as a Lecturer at Dundalk Institute of Technology (DkIT), where he teaches both undergraduate and postgraduate courses covering database systems, cybersecurity, object-oriented programming, and data analytics.

Dr. Raja completed his B.E. in Metallurgical Engineering from the University of Engineering and Technology, Lahore, followed by an M.S. in Computer Science from the Lahore University of Management Sciences (LUMS). He earned his Ph.D. from the University of Limerick, focusing on "Real-Time Non-Intrusive Speech Quality Estimation of Voice Over Internet Protocol Using Genetic Programming," which laid the foundation for his ongoing research interests.

His research trajectory includes a postdoctoral role at Orange Labs, part of France Telecom R&D, where he worked on advanced projects related to wireless communications and contributed to building industry-academia connections. Following this, Dr. Raja was a Postdoctoral Research Fellow in the Bio-computing and Developmental Systems (BDS) Research Group at the University of Limerick. His work in this group involved applying machine learning and data science techniques to solve complex problems, while also supervising MSc students and engaging in collaborative research on innovative applications in AI.

Dr. Raja's research interests are diverse, encompassing evolutionary deep learning, explainable AI, machine learning applications in building cognitive architectures, and cognitive computing. He is particularly focused on the development of user-friendly AI tools and the integration of these technologies to develop domain-specific cognitive architectures.

In addition to his teaching and research roles, Dr. Raja is a dedicated mentor, having supervised several Ph.D. students, and continues to publish extensively in peer-reviewed journals. Through his blog, "Psyops Prime," he connects with a wider audience while discussing complex intersections of science, philosophy, and technology.

Dr. Raja is committed to advancing knowledge in AI and machine learning while fostering an engaging and inclusive educational environment. He welcomes collaboration and innovative ideas that challenge conventional research paradigms.

For inquiries, Dr. Raja can be reached at adil[DOT]raja[AT]dkit[DOT]ie.

Qualifications & Awards

Qualifications

  • Ph.D. in Computer Science
University of Limerick, Limerick, Ireland
February 2005 – August 2008
Dissertation: "Real-Time Non-Intrusive Speech Quality Estimation of Voice Over Internet Protocol Using Genetic Programming"

  • M.S. in Computer Science
Lahore University of Management Sciences (LUMS), Lahore, Pakistan
Fall 2004

  • B.E. in Metallurgical Engineering and Materials Science
University of Engineering and Technology Lahore (UET), Lahore, Pakistan
Fall 2000

Awards and Honors
  •  Postgraduate Research Award
Higher Education Commission of Pakistan, Fall 2003

  • PhD Scholarship
Science Foundation Ireland (SFI), for Ph.D. studies

  • Non-EU Fee Scholarship
Academic Year 2007

  • Honorable Mentions for Hummies Awards
Awarded twice for human-competitive results produced by genetic and evolutionary computation in 2007 and 2008

  • Best Paper Award Nomination
EuroGP 2007 Conference Committee

  • Travel Bursaries
Awarded for conferences in Spain, Italy, and the U.S.

  • EuroGP 2007

  • EuroGP 2008

  • GECCO 2008

Research & Interests

Research Interests and Experience

My research interests primarily focus on Machine Learning and Artificial Intelligence, particularly in the following areas:
  •  Machine Learning Applications: I am deeply engaged in the theory and practical applications of machine learning, with a special interest in evolutionary deep learning and explainable AI. My goal is to contribute to the creation of user-friendly AI tools that enhance accessibility and usability for various stakeholders.
  • Speech and Audio Processing: I have a solid foundation in real-time, non-intrusive speech quality estimation techniques. My research incorporates genetic programming to assess and improve speech quality in Voice over Internet Protocol (VoIP) systems.
  •  Computer-Aided Diagnosis and Pattern Recognition: I focus on developing innovative classification and regression techniques applicable in healthcare, aiming to improve diagnostic accuracy and decision-making processes.
  • Computational Neuroscience: I am interested in exploring cognitive architectures and their potential implications for advancing artificial intelligence methodologies.

    My academic and research journey encompasses significant experiences, including:

  • Postdoctoral Researcher at the Regulated Software Research Centre (RSRC), Dundalk Institute of Technology (DkIT) (September 2021 – September 2024). In this role, I was awarded a postdoctoral fellowship by the Higher Education Authority of Ireland, where I led investigations into artificial intelligence applications in medical device software innovation. I actively participated in writing research grants and supervised two PhD students. Additionally, I undertook a project focused on developing computer vision models for robotic surgery, utilizing object detection convolutional neural networks and capsule networks.
  • Postdoctoral Research Fellow at the Bio-computing and Developmental Systems (BDS) Research Group, University of Limerick (April 2018 – December 2020). Here, I worked on a project aimed at designing a spectral flow meter for the dairy industry and employed the grammatical evolution algorithm in MATLAB to tackle various optimization challenges. I also co-taught courses, enhancing the educational experience for students.
  • Post-Doctorate Researcher at Orange Labs, France Telecom R&D (February 2010 – February 2011). My focus involved research in wireless communications, facilitating collaborations that bridged academic research with industry needs.
  • Ph.D. Candidate at the University of Limerick (February 2005 – August 2008). My dissertation investigated speech quality estimation techniques, producing several publications and presentations at international conferences. Collaboration with interdisciplinary teams significantly enriched the impact of my research.

Publications

The publications listed below represent my 10 most recent works as recorded on ORCiD

Measurement: Digitalization
July 2025
DOI: 10.1016/j.meadig.2025.100007
Type: Journal article

18 April 2025
DOI: 10.36227/techrxiv.170474405.56692658/v2
Type: Preprint

Journal of Information Security and Applications
September 2024
DOI: 10.1016/j.jisa.2024.103839
Type: Journal article

8 January 2024
DOI: 10.36227/techrxiv.170474405.56692658/v1
Type: Preprint

Informatics in Medicine Unlocked
2023
DOI: 10.1016/j.imu.2023.101327
Type: Journal article

IEEE Access
2022
DOI: 10.1109/ACCESS.2022.3166115
Type: Journal article

27 January 2021
DOI: 10.1109/ICCCI50826.2021.9402392
Type: Conference paper

2021
DOI: 10.1007/978-981-16-0425-6_1
Type: Book chapter

2020
DOI: 10.1007/978-3-030-62362-3_26
Type: Book chapter

2020
DOI: 10.1007/978-3-030-62362-3_22
Type: Book chapter

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