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Portrait of Prof. Dr. Muhammad Mansoor Alam

Lab Director · AIS² Lab

Prof. Dr. Muhammad Mansoor Alam

Machine Learning & Artificial Intelligence Researcher

Professor of Computer Science, Faculty of Computing, Riphah International University, Islamabad (2021–present)

Professor of Computer Science at Riphah International University, Islamabad, and an HEC Approved Supervisor. His research spans machine learning and artificial intelligence, intelligent decision support, computer vision, software-defined and wireless networks, and IoT, with more than 300 research articles across journals, book chapters and conferences.

Biography

About

Prof. Dr. Muhammad Mansoor Alam is a Professor of Computer Science in the Faculty of Computing at Riphah International University, Islamabad. He is also a Visiting Professor in the Faculty of Engineering and Information Technology at the University of Technology Sydney, Australia, and an Adjunct Professor in the Faculty of Computing & Informatics at Multimedia University, Cyberjaya, Malaysia, where he supervises post-doctoral researchers.

He earned his Ph.D. in Computer Science from the Laboratoire Informatique, Image et Interaction (L3i), Université de La Rochelle, France, with the distinction Très Honorable, and a second Ph.D. in Electrical and Electronics Engineering from Universiti Kuala Lumpur, Malaysia, on error-corrected location determination in outdoor wireless environments. He later completed a post-doctorate at Universiti Kuala Lumpur on machine learning approaches for efficient prediction and decision making. His earlier studies include an MS in Information Systems from the University of Reading, England, and an M.Sc in Computer Science from Preston University, Pakistan.

His academic career spans Pakistan, Malaysia, Saudi Arabia, Australia and online programmes in the United States. He has served as Dean and Associate Dean of the College of Computer Science and Information Systems at the Institute of Business Management (IoBM), Karachi, Associate Professor and research-cluster head at Saudi Electronic University, and Senior Lecturer at Universiti Kuala Lumpur. He is a recipient of an NRPU research grant (2022), serves as an Editor of International Transactions on Electrical Energy Systems, and reviews for the HEC Quality Assurance Agency.

Google Scholar, retrieved 4 October 2026: 8,424 citations, h-index 38, i10-index 121.

Areas of inquiry

Research

  • Machine Learning & Artificial Intelligence

    Supervised learning, neural networks and ensemble methods applied to prediction problems, from disease classification and sentiment analysis to flash-flood forecasting, renewable-energy systems and the role of AI in education.

    • Deep learning
    • SVM & ensembles
    • Sentiment analysis
    • Predictive analytics
    • AI in education

  • Systems & Software Engineering

    Risk prediction and management in global software development, fault tolerance and load balancing in cloud computing, and reliable, AI-driven load balancing for software-defined networks.

    • Global software development
    • Cloud computing
    • Software-defined networking
    • Fault tolerance
    • Load balancing

  • Computer Vision & Image Processing

    Robot vision, reverse image search, X-ray image enhancement, face-mask detection and aerial-imagery analysis for precision agriculture, combining classical local features with deep convolutional models.

    • Robot vision
    • Image enhancement
    • Aerial imagery
    • CNNs
    • Image retrieval

  • Embedded Systems, Wireless Networks & IoT

    Anomaly detection in IoT/MQTT networks, 5G resource allocation and LoRa, energy-efficient heterogeneous networks, RFID and WSN systems, dielectric-resonator antenna design, and wireless location estimation.

    • IoT & MQTT
    • 5G networks
    • Antenna design
    • RFID & WSN
    • Location estimation

  • Intelligent Decision Support Systems

    Decision support for healthcare, agriculture and business: survivability prediction, explainable AI in healthcare, smart-agriculture monitoring and control, and machine-learning risk models for firms.

    • Clinical decision support
    • Explainable AI
    • Smart agriculture
    • Risk modelling

Qualifications

Education

  1. Post-Doctorate

    Universiti Kuala Lumpur · Kuala Lumpur, Malaysia

    Research: Machine Learning Approaches for Efficient Prediction and Decision Making

  2. Ph.D. (Electrical and Electronics Engineering), dual Ph.D.

    Universiti Kuala Lumpur · Kuala Lumpur, Malaysia

    Thesis: Error corrected location determination in an outdoor wireless environment by using estimation, filtering, prediction and fusion techniques: a Wi-Fi application using terrain-based knowledge

  3. 2010

    Ph.D. (Computer Science)

    Université de La Rochelle, Laboratoire Informatique, Image et Interaction (L3i) · France

    Awarded with the distinction Très Honorable

    Thesis: tel.archives-ouvertes.fr (opens in a new tab)

  4. 2002

    MS (Information Systems)

    University of Reading · England

    Thesis: Platform for Interactive Network Games

    • 1st Division
    • Scholarship: ENST & French Telecom

  5. 1998

    M.Sc (Computer Science)

    Preston University · Pakistan

    Second position in M.Sc Computer Science

  6. 1995

    B.Sc (Computer Science)

    University of the Punjab · Pakistan

Career

Experience

  1. Sept 2021 – Present

    Professor of Computer Science

    Riphah International University, Faculty of Computing · Islamabad, Pakistan

    • HEC Approved Supervisor

  2. Jan 2022 – Present

    Visiting Professor

    University of Technology Sydney, Faculty of Engineering and Information Technology · Sydney, Australia

  3. Feb 2022 – Present

    Adjunct Professor

    Multimedia University, Faculty of Computing & Informatics · Cyberjaya, Malaysia

    • Supervising 7 post-doctoral researchers (funded positions: publication fee, training and material covered)

  4. Sept 2013 – Present

    Adjunct Professor (Computer Science) & MS/PhD Supervisor

    Universiti Kuala Lumpur · Kuala Lumpur, Malaysia

    • Adjunct Professor (Computer Science), Dec 2017 – Nov 2021
    • Supervisor, MS/PhD, Sept 2013 – present

  5. May 2016 – Aug 2021

    Professor of Computer Science

    Institute of Business Management (IoBM), College of Computer Science and Information Systems · Karachi, Pakistan

    • Dean, College of Computer Science and Information Systems (Feb 2021 – Aug 2021)
    • Associate Dean, College of Computer Science and Information Systems (May 2019 – Jan 2021)
    • Acting Director, OGS, research head (Sept 2020 – Dec 2020)
    • Head of Department, Computer Science & MIS (May 2019 – Aug 2021)
    • Head of Department, Mathematics & Statistics (May 2019 – Sept 2020)
    • Operational Head of online teaching and training via LMS during COVID-19
    • Associate Professor, College of Computer Science & Information Systems and College of Engineering and Sciences

  6. Aug 2013 – June 2016

    Laureate Online Education (Colorado State University)

    United States (online)

  7. Aug 2013 – July 2016

    Associate Professor / Assistant Professor

    Saudi Electronic University, College of Computing and Informatics · Kingdom of Saudi Arabia

    • Associate Professor, Jan 2015 – July 2016
    • Assistant Professor, Aug 2013 – Jan 2015
    • Research Cluster Head: Telecommunication and Networks cluster
    • Course Coordinator of the undergraduate programme
    • Course Coordinator of MSIS (Aug 2015 – July 2016)
    • Chairman, Online Teaching and Faculty Development Committee

  8. Dec 2008 – Aug 2013

    Senior Lecturer

    Universiti Kuala Lumpur, Malaysian Institute of Information Technology (MIIT) · Kuala Lumpur, Malaysia

    • Research Cluster Head: Machine Learning research team
    • Instructor, 3-month CISCO training programme at AMA University, Manama, Bahrain (May 2013 – July 2013)

  9. Visiting Faculty

    Multiple institutions · Pakistan, Malaysia, Hong Kong, Saudi Arabia, Australia

    • NU FAST Karachi; SZABIST Karachi
    • Open University Hong Kong; Open University Malaysia
    • Universiti Kuala Lumpur (UniKL MIIT and UniKL MFI); Universiti Malaysia Pahang; Multimedia University, Malaysia
    • Umm Al-Qura University and King Abdullah University of Science and Technology, KSA
    • University of Technology Sydney, Australia

  10. Editorial, Review & Professional Service

    Journals, HEC and professional societies

    • Editor, International Transactions on Electrical Energy Systems
    • Reviewer, QAA, Higher Education Commission (HEC), Pakistan
    • Reviewer for 4 impact-factor journals
    • Member: International Association of Engineers (IAENG); Society of Digital Information and Wireless Communication (SDIWC); International Association of Computer Science and Information Technology (IACSIT)

Funded and doctoral research

Projects

  1. 2022

    NRPU Research Grant

    NRPU

    Research project funded under an NRPU grant awarded in 2022 with a value of 9.34 million.

  2. Completed

    Error-Corrected Location Determination in Outdoor Wi-Fi Environments

    Doctoral research

    Doctoral research on estimation, filtering, prediction and fusion techniques, using terrain-based knowledge, to correct location errors of wireless nodes outdoors. The work was used by Tabung Haji Malaysia to facilitate pilgrims, and was covered by the Malaysian newspapers Berita Harian and Mingguan Malaysia (6–7 October 2012).

    • Area: Wireless networks & location estimation

  3. Sept 2009 – Nov 2011

    Short Term Research Grant

    Universiti Kuala Lumpur

    Short Term Research Grant awarded by Universiti Kuala Lumpur.

  4. Mar 2000 – Feb 2002

    PING: Platform for Interactive Network Games

    French Telecom

    Research scholarship under the PING project, sponsored by French Telecom, which formed the basis of the MS (Information Systems) thesis “Platform for Interactive Network Games” at the University of Reading.

    • Role: Research scholar (MS thesis)
    • Funding: French Telecom (research scholarship); ENST & French Telecom (MS scholarship)
    • Area: Networked interactive games

  5. Completed

    Machine Learning Approaches for Efficient Prediction and Decision Making

    Universiti Kuala Lumpur

    Post-doctoral research programme at Universiti Kuala Lumpur on machine-learning methods for prediction and decision support.

    • Role: Post-doctoral researcher
    • Area: Machine Learning & Decision Support

Scholarly output

Publications

73 publications are listed on this site. The most recent are shown here.

All publications Complete record on Google Scholar (opens in a new tab)

Recognition

Awards and achievements

  1. 2022

    NRPU Research Grant

    NRPU

    Research funding of 9.34 million.

  2. Research Recognised at the 9th Convocation of Universiti Kuala Lumpur

    Universiti Kuala Lumpur

    Invited to lunch with His Highness Tengku Abdullah ibni Sultan Ahmad Shah during the 9th Convocation for state-of-the-art research work, which was used by Tabung Haji Malaysia to facilitate pilgrims.

  3. 2012

    National Press Coverage of Research

    Berita Harian and Mingguan Malaysia

    Full story about the research published on 6 and 7 October 2012.

  4. Ph.D. awarded “Très Honorable” (Gold Medal)

    Université de La Rochelle, France

    Doctorate in Computer Science awarded with the distinction Très Honorable.

  5. April 2010 – November 2011

    Graduate Assistance Scholarship

    Universiti Kuala Lumpur

  6. September 2009 – November 2011

    Short Term Research Grant

    Universiti Kuala Lumpur

  7. March 2000 – February 2002

    Research Scholarship, Project PING

    French Telecom

  8. Second Position, M.Sc Computer Science

    Preston University, Pakistan

Capabilities

Skills and certifications

  • Research

    • Machine learning & artificial intelligence
    • Intelligent decision support systems
    • Computer vision & image processing
    • Systems & software engineering
    • Embedded systems & IoT
    • Systematic literature reviews

  • Technical

    • Neural networks & deep learning
    • SVM, k-NN & ensemble classifiers
    • Swarm & nature-inspired optimisation (PSO, firefly, cuckoo search)
    • Software-defined & cloud networking
    • Wireless location estimation & data fusion
    • Cisco networking (CCNA / CCAI)

  • Teaching & Supervision

    • MS / PhD supervision (HEC Approved Supervisor)
    • Post-doctoral research supervision
    • Blended & online teaching via LMS
    • Programme & course coordination
    • Faculty development

  • Professional

    • Academic leadership: Dean, Associate Dean, Head of Department
    • Research-cluster leadership
    • Journal editing & peer review
    • HEC QAA review
    • International academic collaboration

Certifications

  • CCNA and CCAI (Cisco Certified Academy Instructor)

    Cisco

  • GPS Certification

  • Windows NT (Server and Workstation) Certification

  • Strategies for Teaching in a Blended Learning Environment

    Franklin University, USA

  • Qualified Supervisor (PhD / M.Sc)

    Universiti Malaysia Pahang, Malaysia

  • Interviewer and Interviewee (HR Training)

Get in touch

Contact

E-mail
m.mansoor@riphah.edu.pk
Address
Riphah International University, I-14/3, Islamabad, Pakistan
Website
prof-mansoor-alam.netlify.app (opens in a new tab)