Skip to main content
OBE Coordinator
Deputy Director II, Quality Enhancement Cell (QEC)

Dr. Maria Waqas


Dr. Maria Waqas has been serving academia since 2001. Associated with the Department of Computer and Information Systems Engineering, NED University of Engineering and Technology, she has a reputable profile in Computer Systems research and students’ counselling.

Education and Certification

  • 2019      Ph.D., Computational Biology, NED University of Engineering and Technology
  • 2008      M. Engg., Computer Architecture and System Design, NED University of Engineering and Technology, CGPA 4.0
  • 2001      B.E., Computer Systems Engineering, NED University of Engineering and Technology, 5th position

Honors and Awards

  • Member of administrative committees of the Department and the University
  • Awarded NEDAASC best Publication Award 2017
  • Awarded MoST funding during Ph.D. worth Rs. 2.3 million
  • Member Pakistan Engineering Council (PEC) – Professional Engineer
  • Maintained a CGPA of 4.0 (out of 4.0) in postgraduate engineering education
  • Ranked among the top 10% throughout the four years during undergraduate engineering education
  • Received NED University Scholarship on securing 3nd position in Third Year of engineering
  • Received Karachi Board of Intermediate Scholarship for getting 2nd position among females and 3rd overall in Higher Secondary Education

Research Activity

  • HEC Approved PhD Supervisor
  • Co-Principal Investigator - National Center in Big Data and Cloud Computing (December 2020 – date)
  • Supervising undergraduate and postgraduate research projects


Research Interests

  • Computational Biology and Bioinformatics
  • Cytomorphic and Neuromorphic Hardware Design
  • Deep Learning
  • Object Detection and Tracking
  • Electronic Integrated Circuit Deign
  • High Performance Computing

Professional/Community/Industrial Services

  • 2023 – date      Deputy Director II Quality Enhancement Cell (QEC)
  • 2022 – date      Member Board of Studies (Bioinformatics Department - SSUET)
  • 2020 – date      Co-Principal Investigator - National Center in Big Data and Cloud Computing
  • 2019 – date      Member Board of Studies (CIS)
  • 2021 – date      Member Central OBE Cell (COBEC)
  • 2017 – date      Member Departmental OBE Cell (DOBEC), OBE Coordinator
  • 2017 – date      Member Curriculum Review Committee (Undergraduate)
  • 2017 – date      In charge Computation Lab
  • 2013 – 2023     Undergraduate Coordinator
  • 2006 – 2014     In charge Logic Design & Switching Theory Lab
  • 2006 – 2018     Class Advisor


Supervised Postgraduate Research Projects

  • Challenges in Egocentric Vision Systems (PhD – on going)
  • Data-Driven Fault Detection and Diagnosis in Acid Gas Removal Unit using Time Series Machine Learning Algorithms (PhD Co-supervision - ongoing)
  • Compact, Modular and Energy Efficient Electronic Mimetic Design for Intracellular Biochemical Pathways (PhD - ongoing)
  • Voice Biometric Recognition System Using Deep Learning (MS - 2023)
  • Sign language recognition using MediaPipe - A machine learning framework (MS - 2022)
  • Online engagement assessment using MediaPipe (MS - 2022)
  • Enhanced radiological diagnosis of Cerebral Tuberculosis using machine learning (MS - 2021)


Supervised Undergraduate Final Year Design Projects

  • Virtual Quran Assistant (2023 - ongoing)
  • SeekImage – Image Retrieval Application Based on Image Captioning (2023)
  • CCTV Footage Enhancement for Forensic Analysis (2023)
  • CaptureDress – An AI-based automated dressing organizer and combination assistant (2023)
  • Recognition of Waste Material and Predictive Analysis of Rate of Disposals (2022)
  • Autocompleting Sentences in Urdu Using Natural Language Processing (2022)
  • Intelligent Attendance Marking System (2022)
  • Sketch2Code (2022)
  • Dynamic Chatbot (2022)
  • Automatic code generation for web front-end using artificial intelligence (2021)
  • Head movement and eyeball tracking using machine learning and computer vision (2021)
  • Real estate price predictor (2021)
  • Face image super resolution using machine learning (2021)
  • Vehicle parking management using image processing (2020)
  • Acoustic modelling using deep learning for Quran recitation assistance (2020)
  • Face image super resolution using machine learning (2020)
  • Modern-day BI based smart predictor (2020)
  • Sketch based image retrieval using convolution neural networking (2020)
  • Facial features analysis using deep learning (2020)
  • Intelligent behavior management system using machine learning (2019)
  • Personal GYM trainer (2019)
  • Customer activity recognition system using image processing  (2019)
  • Car driving simulator using virtual reality (2019)
  • Virtual reality realization of self-designed housing units (2019)
  • Augmented reality based text to 3D visualizer for kindergarten students (2018)

Research Publications

  1. Urooj Ainuddin, Maria Waqas, “Finite State Machine and Markovian Equivalents of the lac Operon in E. coli Bacterium”, AIMS Bioengineering, vol. 9, no. 4, pp. 400-419, 2022.
  2. Ammar Farid Ghori, Aisha Waheed, Maria Waqas, Aqsa Mehmood, Syed Abbas Ali, “Acoustic Modelling using Deep Learning for Quran Recitation Assistance”, International Journal of Speech Technology, pp. 1-9, 2022. [IF 1.94]
  3. Maria Waqas, Urooj Ainuddin, Umar Iftikhar, “An Analog Electronic Circuit Model for cAMP-dependent Pathway - towards creation of Silicon life”, AIMS Bioengineering, vol. 9, no. 2, pp. 145-162, 2022.
  4. Muhammad Ali ismail, Maria Waqas, Mirza Muhammad Muzammil, Uzair Abid, Talha Zia, Water Body Detection and Boundary Area Calculation using an Enhanced Water Index - The Manchar Lake Case Study”, Journal of Water and Climate Change, vol. 13, no. 2, pp. 557-573, 2022. [IF 2.67]
  5. Muhammad Ali Ismail, Maria Waqas, Farah Sadiq, “N-Body Simulation Inspired by Metaheuristics Optimization”, Journal of Computer Systems Science and Engineering, vol. 41, no. 3, pp. 1143-1155, 2022. [IF 4.83]
  6. Umar Iftikhar, Kashif Asrar, Maria Waqas, “Evaluating the Performance Parameters of Cryptographic Algorithms for IOT Based Devices”, Journal of Engineering Technology and Applied Science Research, vol. 11, no. 6, pp. 7867-7874, 2021.
  7. Maria Waqas, Mauizah Nasir, Adeel Hussain Samdani, Habiba Naz, Maheen Tanveer, “Customer Activity Recognition System using Image Processing”, International Journal of Computer Science and Network Security, vol. 21, no. 9, pp. 63-66, 2021.
  8. Maria Waqas, Umar Iftikhar, Muhammad Safwan, Zain Ul Abidin, Ahmed Saud, “Smart Vehicle Parking Management System using Image Processing”, International Journal of Computer Science and Network Security, vol. 21, no. 8, pp. 161-166, 2021.
  9. Shaheena Noor, Maria Waqas, Muhammad Imran Saleem, Humera Noor Minhas, "Automatic Object Tracking and Segmentation using Unsupervised SiamMask", IEEE Access, vol. 9, pp. 106550 – 106559, 2021. [IF 4.83]
  10. Umar Iftikhar, Kashif Asrar, Maria Waqas, Syed Abbas Ali, “Access Management using Knowledge Based Multi Factor Authentication in Information Security”, International Journal of Computer Science and Network Security, vol. 21, no. 7, pp. 119-124, 2021.
  11. Maria Waqas, Muhammad Khurram, Rezaul Hasan, "Analog Electronic Circuits to Model Cooperativity in Hill Process", Mehran University Research Journal of Engineering & Technology, vol. 39, no. 4, 678-685, 2020.
  12. Maria Waqas, Muhammad Khurram, Rezaul Hasan, "Bio-cellular processes modeling on silicon substrate: receptor–ligand binding and Michaelis Menten reaction", Analog Integrated Circuits and Signal Processing (Springer), vol. 93, no. 2, pp. 329-340, 2017. [IF 1.69]
  13. Umar Iftikhar, Kashif Asrar, Maria Waqas, Syed Abbas Ali, “BOTNETs: A Network Security Issue -  From Definition to Detection and Prevention”, International Journal of Advanced Computer Science and Applications, Vol. 11, No. 11, 2020.
  14. Ibshar Ishrat, Wajiha Muzaffar Ali, Sana Ghani, Sadia Sami, Maria Waqas and Fakhra Aftab, "Smart Door Lock System with Automation and Security", Science International, Lahore, vol. 29, no. 1, pp. 73-76, 2017.

Teaching Profile

Courses Taught at Undergraduate Level

  • Machine Learning
  • Digital Logic Design
  • Microprocessor Based Systems Design
  • Computer Organization & Design
  • Data Structures & Algorithms
  • Database Management Systems
  • Computer Programming
  • Object Oriented Programming
  • Fundamentals of Computers Engineering


Courses taught at Post Graduate Level

  • Machine Learning
  • Deep Learning
  • Artificial Intelligence
  • Computing Essentials
  • Data Structures and Databases
  • Neurocomputation
  • Advanced Algorithm Analysis
  • Computational Biology
  • Reconfigurable Computing
OBE Coordinator
Deputy Director II, Quality Enhancement Cell (QEC)