Amber Sarwar Hashmi

Ph.D. holder in Computer Science (CGPA: 3.94/4.00) from PMAS Arid Agriculture University, I am a
dynamic and highly accomplished researcher and academic leader with over eight years of
experience driving innovation in teaching, research, and departmental leadership. Currently serving
as Assistant Professor and Head of the Department of Computer Science at Rawalpindi Women
University, I have a strong track record of advancing cutting-edge research in Software
Engineering, Artificial Intelligence, IoT, Situational Method Engineering, Requirement Engineering,
Global Software Development, and Agile methodologies. My extensive portfolio includes
supervising numerous graduate and undergraduate theses, leading high-impact funded research
projects, and publishing influential journal and conference papers. I excel in creating researchintensive, hands-on learning environments that inspire students, foster academic excellence, and
strategically contribute to institutional growth and global recognition. 
 

I have extensive experience in agile and distributed software development, with a specialized focus on addressing situational challenges in global software teams. My Ph.D. research led to the development of a situationally adaptive approach, bridging the gap between conceptual models and architectural solutions. I designed a taxonomy for classifying situational challenges, formulated a generic resolution framework, and established systematic mappings from requirements to architecture. My work has been validated through industrial collaborations and empirical evaluation, including the application of Analytical Hierarchy Process (AHP) for prioritization. This experience has equipped me with a robust foundation in agile methodologies, software architecture, requirement engineering, and empirical research methods in real-world settings.

PH.D. DISSERTATION
Title: Towards Situational Agile Distributed Software Development Approach: Bridging Gap From
Conceptual Model To Architecture Model
Overview:
Focused on handling situational variations in distributed software development and formulating a
taxonomy for classification of situational challenges. Proposed a generic approach to address
these challenges, mapped variations to requirement specifications, and incorporated both
conceptual and architectural levels. Evaluated through industrial collaborations and empirical
methods using analytical hierarchy prioritization techniques.