Muhammad Shahid Malik

Muhammad Shahid Malik

Designation: Lecturer

Phone:

Email: shahidmalik@kiu.edu.pk

Status: On Study Leave

Malik, Muhammad Shahid is a dedicated PhD scholar at Yuan Ze University, where he specializes in bioinformatics and computational biology. Concurrently, he serves as a lecturer at KIU, where he shares his expertise with aspiring minds. His research interests lie in integrating machine learning and deep learning techniques to analyze biological data, including genomic sequences and protein structures. By applying computational methods, he seeks to uncover insights into complex biological processes. Malik's research also extends to natural language processing for biomedical literature analysis, showcasing his multidisciplinary approach to scientific inquiry. Malik is committed to advancing knowledge and making meaningful contributions to the field. For inquiries, he can be reached at shahidmalik@kiu.edu.pk.

  • B.Sc (math,state,Computer Science) University of Karachi
  • MCS University of Karachi
  • MS(CS) COMSATS Institute of Information Technology, Islamabad
  • Ph.D. Scholar Yuan Ze University, Chung-Li, 32003, Taiwan
  • Lecturer Karakoram International University
  • Data & Network Administrator Telenor
  • Taiwan Government Elite Scholarship Awardee; Pursuing PhD at Yuan Ze University

  • Image Processing
  • Algorithms Analysis
  •  Specializing in bioinformatics and computational biology  Integrating machine learning and deep learning techniques  Analyzing biological data such as genomic sequences and protein structures  Applying computational methods to gain insights into biological processes  Research focus includes natural language processing for biomedical literature analysis

    • The challenges and opportunities to formulate and integrate an effective ict policy at mountainous rural schools of gilgit-baltistan, Sabit Rahim, Tehmina Bibi, Sadruddin Bahadur Qutoshi, Shehla Gul, Yasmeen Gul, Naveed Ali Khan Kaim Khani, Muhammad Shahid Malik: Information:MDPI
    • AOPs-XGBoost: Machine learning Model for the prediction of Antioxidant Proteins properties of peptides, Sikander Rahu, Ali Ghulam, Zar Nawab Khan Swati, Jawad Usman Arshed, Muhammad Shahid Malik : VAWKUM Transactions on Computer Sciences
    • XGboost-Ampy: Identification of AMPylation Protein Function Prediction Using Machine Learning, XGboost-Ampy: Identification of AMPylation Protein Function Prediction Using Machine Learning : VAWKUM Transactions on Computer Sciences
    • Integrating Pre-Trained protein language model and multiple window scanning deep learning networks for accurate identification of secondary active transporters in membrane proteins, Muhammad Shahid Malik, Yu-Yen Ou : Methods: Academic Press
    • DeepPLM_mCNN: An approach for enhancing Ion Channel and Ion Transporter Recognition by Multi-Window CNN based on features from Pre-trained Language Models, Van-The Le, Muhammad-Shahid Malik, Yi-Hsuan Tseng, Yu-Cheng Lee, Cheng-I Huang, Yu-Yen Ou : Computational Biology and Chemistry : Elsevier
    • ProtTrans and Multi-Window Scanning Convolutional Neural Networks for the Prediction of Protein-Peptide Interaction Sites, Van-The Le 1, Zi-Jun Zhan , Thi-Thu-Phuong Vu , Muhammad-Shahid Malik , Yu-Yen Ou : Journal of Molecular Graphics and Modelling :ELSEVIER /2024
android APK