Ms. Tayyaba Hussain | Decision support systems | Best Researcher Award
Student, Imperial College London, United Kingdom
Engr. Tayyaba Hussain’s research is highly valuable in addressing some of the most pressing challenges in AI and software engineering. Her innovative work on Natural Language Processing, particularly the DEFNLP framework, is groundbreaking, offering a new, automated approach to data extraction from large datasets. She has made significant contributions to AI’s role in Software Project Management, where her work bridges the gap between technology and organizational processes, offering a forward-looking perspective on the integration of AI in project management tools.
🎓 Education
Engr. Tayyaba Hussain has a solid educational background in computer science and software engineering. She completed her MS in Software Engineering from the College of EME at the National University of Sciences & Technology (NUST), securing a CGPA of 3.35/4.00. Before that, she obtained an MSc in Computer Science from the Federal Urdu University of Arts, Science & Technology in Islamabad, with a CGPA of 3.23/4.00. Her foundational education includes a BSc in Computer Science from the University of the Punjab, followed by FSc in Pre-Engineering from Viqar Un Nisa College for Women, Rawalpindi. She completed her Matriculation with a focus on Biology, Physics, Chemistry, and Mathematics at Joint Staff Public School & College in Chaklala, Rawalpindi.
👩🏫 Teaching Experience
Engr. Tayyaba Hussain boasts extensive experience in software development, system integration, and IT solutions. Currently, she works as a Software Solutions Consultant at the Naya Pakistan Housing & Development Authority (NAPHDA), where she focuses on developing and deploying website and construction management solutions. Prior to this, she held the position of Senior Software Engineer at Quaid-e-Azam International Hospital, Rawalpindi, where she contributed to the development of the Hospital Management Information System (HMIS), enhancing the hospital’s software and web applications.
🛰️ Research Focus
Engr. Tayyaba’s research interests are centered on Artificial Intelligence (AI) and its applications in the field of data extraction and analysis. Her MS thesis focused on developing an innovative data extraction framework using Natural Language Processing (NLP) techniques (DEFNLP). This AI-driven approach was designed to automate the extraction of useful information from large datasets, benefiting scientific research and societal applications. In addition, she has contributed to several projects involving AI and data processing, including the integration of AI techniques in healthcare and GIS systems.
🛠️ Skills
Engr. Tayyaba Hussain possesses a diverse skill set across multiple areas of software development and IT solutions. She is highly proficient in programming languages such as C#, ASP.NET, Python, Java, JavaScript, PHP, and Node.js, allowing her to build both front-end and back-end components of web applications. Her expertise extends to web technologies including HTML5, CSS, Bootstrap, AngularJS, jQuery, and AJAX, which she uses to create responsive and dynamic user interfaces. She is also skilled in databases, working extensively with SQL Server, Oracle, Firebase, and MySQL to manage and query large datasets effectively.
🏆 Awards and Honors
While specific awards are not listed, Engr. Tayyaba’s contributions to high-impact projects in healthcare, telecommunications, and education demonstrate her excellence and recognition in her field. Her work on large-scale systems like the QMedics HMIS and mobile clinic applications for the Armed Forces Institute of Ophthalmology has earned her widespread acknowledgment in the software development community.
-
-
“A Novel Data Extraction Framework Using Natural Language Processing (DEFNLP) Techniques”
Cited by: 5
Authors: T. Hussain, M.U. Akram, A.A. Salam
Journal: Natural Language Processing Journal, 11, 100149
Year: 2025 -
“Present Role of Artificial Intelligence in Software Project Management and in the Future”
Cited by: 4
Authors: T. Hussain, T. Rashid, M. Abbas
Journal: Artificial Intelligence, 6(182)
Year: 2023 -
“A Survey on Application of Artificial Intelligence Techniques for Prognostics”
Cited by: 2
Author: T. Hussain
Journal: Artificial Intelligence, 6(185)
Year: 2023 -
“A Novel Model Driven Framework for Preserving Privacy in Internet of Things (MDFPPIoTs)”
Cited by: Not provided
Author: T. Hussain
Journal: Artificial Intelligence, 6(201)
Year: 2023
-
🏁conclusion:
Engr. Tayyaba Hussain is an exceptionally deserving candidate for the Best Researcher Award due to her innovative contributions in AI and NLP, her multidisciplinary approach, and her impact on both theory and practice. Her ability to tackle complex issues such as big data processing, AI in project management, and IoT privacy highlights her capacity for original thought and her potential to drive future advancements in these fields