Dr. Imran Ashraf

Faculty Member

Dr. Imran Ashraf

Associate Professor

HEC Approved PhD Supervisor
(+9251 111 128 128) 3215
imran.ashraf@isb.nu.edu.pk

Education

PhD (Computer Engineering), Delft University of Technology (TU Delft), The Netherlands, 2016

MS (Computer Engineering), Delft University of Technology (TU Delft), The Netherlands, 2011

MSc (Electrical Engineering), University of Engineering & Technology (UET), Peshawar, 2008

BSc (Electrical Engineering), University of Engineering & Technology (UET), Peshawar, 2006

Summary

Dr. Imran Ashraf has 15+ years of research and development experience working in leading national and international academia and industry. Imran has an accumulative 80+ impact factor and published 70+ research articles. During his BS studies, Imran secured 2nd position in his batch at the university level and obtained a silver medal for his FYP. In 2009, Imran got a Top Talent scholarship from TU Delft (The Netherlands), for Master studies in Embedded Systems. After MSc, Imran joined the Computer Engineering Lab, TU Delft, to pursue his PhD funded by Euorpean Projects (SMECY, EMC2). This research focused on various aspects of HPC such as profiling, parallelization, and communication-driven application mapping on embedded and HPC platforms. He designed and developed a tool that was utilized to perform efficient application mapping on conventional accelerators (GPU and FPGA), as well as for the design flow of unconventional in-memory computation architectures. As a post-doctoral researcher, Imran worked on an Intel-funded project in the team of Prof. Koen Bertels focusing on the definition of a scalable architecture for executing quantum circuits. He has worked on various aspects of software stack, especially, compilation and high-performance simulation of quantum circuits. Imran was leading the development team of the CE lab at QUTECH, TU Delft, for the development of various tools related to Quantum simulation and compilation. The developed compiler was used for two annual Intel demos to generate code for architecture targeting superconducting and spin qubits. After coming back to Pakistan in 2018, Imran has been serving in the academia where he was involved in the design and development of undergraduate and graduate courses, CPD trainings, teaching, research and various administrative tasks. Currently, Imran is working as an Associate Professor at the Computer Science Department, NUCES-FAST, Islamabad.

Publications

Journal Papers

  1. Shairyar Malik, Tallha Akram, Imran Ashraf, Muhammad Rafiullah, Mukhtar Ullah, Jawad Tanveer, A Hybrid Preprocessor DE-ABC for Efficient Skin-Lesion Segmentation with Improved Contrast, Diagnostics, 2022
  2. S. Majzoub, R. A. Saleh, I. Ashraf, M. Taouil and S. Hamdioui, Energy Optimization for Large-Scale 3D Manycores in the Dark-Silicon Era, IEEE Access, 2019
  3. Muhammad Ijaz, Imran Ashraf, Usman Zahid, Awais Yasin, Siddique Ali, Muhammad Attique Khan, Salman A Alqahtani, Yu-Dong Zhang, DS2LC3 Net: A Decision Support System for Lung Colon Cancer Classification using Fusion of Deep Neural Networks and Normal Distribution based Gray, ACM Transactions on Asian and Low-Resource Language Information Processing
  4. Junaid Tariq, Ayman Alfalou, Amir Ijaz, Hashim Ali, Imran Ashraf, Hameedur Rahman, Ammar Armghan, Inzamam Mashood and Saad Rehman, Fast Intra Mode Selection in HEVC Using Statistical Model, Computers, Materials & Continua, 2021
  5. Mousa Alhajlah, Muhammad Nazir, Muhammad Nouman, Awais Mahmood, Imran Ashraf, Tehmina Karamat, Gastrointestinal Diseases Classification using Deep Transfer Learning and Features Optimization, Computers, Materials & Continua, 2022
  6. Umaira Nazar Hussain, Muhammad Attique Khan, IkramUllahLali, Kashif Javed, Imran Ashraf, Junaid Tariq, Hashim Ali, Ahmed Din, A Unified Design of ACO and Skewness based Brain Tumor Segmentation and Classification from MRI Scans, Control Engineering and Applied Informatics, 2020
  7. Farhat Afza, Muhammad Attique Khan, Muhammad Sharif, Seifedine Kadry, Gunasekaran Manogaran, Tanzila Saba, Imran Ashraf, Robertas Damaševicius, A framework of human action recognition using length control features fusion and Weighted Entropy-Variances based Feature Selection, Image and Vision Computing, 2021
  8. Faheem Khan, Saleh M. Sherazi,Naeem Khan, Imran Ashraf, Fahad Khan, Handling Radar Cross-Section Performance in Monitoring Vital Signs Under Constraint Conditions, Frontiers in Signal Processing, 2021
  9. Muhammad Nouman Noor, Muhammad Nazir, Sajid Ali Khan, Oh-Young Song, Imran Ashraf, Efficient Gastrointestinal Disease Classification Using Pretrained Deep Convolutional Neural Network, Electronics, 2023
  10. Farhat Afza, Muhammad Attique Khan, Muhammad Sharif, Seifedine Kadry, Gunasekaran Manogaran, Tanzila Saba, Imran Ashraf, Robertas Damaševicius, A framework of human action recognition using length control features fusion and Weighted Entropy-Variances based Feature Selection, Image and Vision Computing, 2021
  11. Koen Bertels, Aritra Sarkar, Imran Ashraf, Don’t wait for quantum hardware to mature, Technology Opinion, HiPEAC Info, 2021
  12. Muhammad Nouman Noor, Muhammad Nazir, Imran Ashraf, Nouf Abdullah Almujally, Muhammad Aslam, Syeda Fizzah Jilani, GastroNet: A robust attention-based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images, CAAI Transactions on Intelligence Technology, 2023
  13. Junaid Tariq, Ammar Armghan, Amir Ijaz, Imran Ashraf, Light weight model for intra mode selection in HEVC, Multimedia Tools and Applications, 2021
  14. Anna Maria Krol, Aritra Sarkar, Imran Ashraf, Zaid Al-Ars, Koen Bertels, Efficient decomposition of unitary matrices in quantum circuit compilers, Applied Sciences, 2022
  15. X. Fu, M. A. Rol, C.C. Bultink, J. van Someren, N. Khammassi, I. Ashraf, R.F.L. Vermeulen, J. C. de Sterke, W.J. Vlothuizen, R. N. Schouten, C.G. Almudever, L. DiCarlo, K.L.M. Bertels, A Microarchitecture for a Superconducting Quantum Processor, IEEE Micro, 2018
  16. Muhammad Nouman Noor, Muhammad Nazir, Imran Ashraf, Emerging Trends and Advances in the Diagnosis of Gastrointestinal Diseases, BioScientific Review
  17. Farrukh Zia, Isma Irum, Nadia Nawaz Qadri, Yunyoung Nam, Kiran Khursheed, Muhammad Ali, Imran Ashraf, Muhammad Attique Khan, A Multilevel Deep Feature Selection Framework for Diabetic Retinopathy Image Classification, Computers, Materials & Continua, 2021