Technische Universitat Dresden - Germany
AUTHOR PROFILE
Google Scholar
EARLY ACADEMIC PURSUITS:
Durr-e-Nayab's academic journey began with a Bachelor's degree in Computer Systems Engineering from the University of Engineering and Technology, Peshawar, Pakistan, followed by a Master's in Computer Systems Engineering from the same institution. Later, she achieved a Ph.D. in Electrical Engineering from the University of Engineering and Technology, Peshawar, with a research focus on Adaptive Expanding Ring Search Based Per Hop Routing Rendition in Mobile Ad Hoc Networks (MANETs) using Machine Learning.
PROFESSIONAL ENDEAVORS:
Nayab has accumulated 11 years of teaching experience and 6 years of research experience. She has held various positions, including Lecturer & Batch Advisor at the University of Engineering and Technology, Peshawar, and Research Assistant at the Center for Intelligent Systems and Networks Research. Additionally, she has served as a Lecturer in Computer Science at City University of Science and Technology and Institute of Business and Management Sciences.
CONTRIBUTIONS AND RESEARCH FOCUS ON CANCER RESEARCH
Her contributions extend to research projects, including a significant role as a Research Assistant in R & D Funded Projects at the Center for Intelligent Systems and Networks Research. Notable projects involve secure and intelligent transportation systems, secure billing frameworks, traffic pattern analysis, and autonomous situation-based alerts using wireless sensor networks.
IMPACT AND INFLUENCE:
Dr. Nayab's impact is evident through her contributions to projects funded by ICT R & D, Ministry of IT Pakistan, addressing critical issues such as congestion control, electricity theft, and traffic patterns in Pakistan. Her role as a Co-PI at the National Center for Artificial Intelligence showcases her influence in shaping intelligent systems design in Pakistan.
ACADEMIC CITES:
Dr. Nayab's research has made a substantial impact, with publications in reputable journals, including "Applied Computational Intelligence and Soft Computing," "Annals of Telecommunication," and "Computers, Materials & Continua."
LEGACY AND FUTURE CONTRIBUTIONS:
Dr. Nayab's legacy is marked by her dedication to research and education, particularly in the fields of Mobile Ad Hoc Networks, Machine Learning, and Artificial Intelligence. Her future contributions are anticipated in her role as a Post-Doctoral Researcher at TU Dresden, focusing on Transport Modeling, Cancer Research and Simulation.
NOTABLE PUBLICATIONS
Performance Augmentation of Base Classifiers Using Adaptive Boosting Framework for Medical Datasets. 2023
Effects of dataset attacks on machine learning models in E-health. 2023
SP-DSTS-MIMO Scheme aided H.266 for reliable high data-rate mobile video-communication. 2023
Data Augmentation and Random Multi-Model Deep Learning for Data Classification. 2022
Sparse Crowd Flow Analysis of Tawaaf of Kaaba during the COVID-19 Pandemic. 2022