Dr. Muhammad Rizwan Anwar
Head of Cyber Security (Cyb.S) and Data Science (DS) Department
Message from HOD
Dr. Muhammad Rizwan Anwar is a dedicated researcher and academic with a Ph.D. in Computer Science and technology from the Beijing University of Posts and Telecommunications, China, specializing in Artificial Intelligence, Distributed Networks, and Intelligent Transportation Systems. His doctoral work focused on developing efficient and cost-effective service migration and computation for QoS, achieving state-of-the-art performance in high density scenario of trajectory device. His research spans vehicular networks (V2X, IoV, C-V2X), IoT, wireless communication, federated learning, and autonomous systems. In addition to strong technical expertise, Dr. Anwar has demonstrated leadership as head of department, research supervisor, and conference reviewer for top-tier journals, including Journal of Network and Computer Applications and the IEEE Internet of Things Journal. He has successfully guided final-year projects to international recognition, and coached students to awards in innovation festivals. His future research aims to integrate Federated Learning, IoT, and 6G networks for next-generation intelligent transportation and smart mobility solutions, while contributing to advancements in applied AI and connected systems for societal benefit.
Dr. Muhammad Amjad
Head of Information Technology (IT) Department
Message from HOD
Dr. Muhammad Amjad is a distinguished academic and researcher, currently serving as the Assistant Professor and Head of the Department of Information Technology at Riphah International University, Faisalabad Campus, and Pakistan. He earned his Ph.D. in Computer Application Technology from Taiyuan University of Technology, China, under the prestigious China Scholarship Council (CSC) merit scholarship. During his doctoral studies, Dr. Amjad conducted advanced research in the field of query processing, with a particular focus on query scheduling based on query interactions. His scholarly contributions include publications in reputable international venues such as Springer, where his work “A Query Scheduler Based on Query Interactions” has been well recognized. He has also presented his research at prominent international conferences and contributed to high impact journals. In addition to his research achievements, Dr. Amjad is an HEC approved Ph.D. supervisor, actively guiding students in their academic and research pursuits. His expertise spans multiple programming languages and diverse areas within computer science. As a department head, he plays a vital role in academic leadership, curriculum development, and fostering a research-oriented environment. Dr. Muhammad Amjad continues to contribute to the advancement of computer science through his teaching, leadership, and ongoing research endeavors.
Dr. Muhammad Arslan Rauf
Head of Software Engineering (SE) Department
Message from HOD
Dr. Muhammad Arslan Rauf is a dedicated academic and researcher specializing in Deep Learning, Computer Vision, and Recommender Systems. He is currently serving as an Assistant Professor at Riphah International University, Faisalabad, Pakistan. He earned his Ph.D. in Software Engineering from the University of Electronic Science and Technology of China (UESTC), where his research focused on advanced neural models, intelligent information retrieval, and data-driven recommendation techniques.
With more than a decade of academic and research experience, Dr. Rauf has developed a strong research portfolio, published in several high-impact SCI-indexed journals, including Information Processing & Management, Journal of Supercomputing, IEEE Internet of Things Journal, Journal of King Saud University Computer and Information Sciences, Signal, Image and Video Processing, and Knowledge and Information Systems. He also actively serves as a reviewer for well-recognized journals such as Expert Systems with Applications and Journal of Supercomputing.
Beyond his research contributions, Dr. Rauf is an experienced educator, teaching courses in Software Engineering, Artificial Intelligence, Machine Learning, and Big Data Analytics. He has also organized international workshops and collaborated with global research groups, further strengthening his academic footprint. Proficient in a wide range of programming, analytical, and AI development tools, Dr. Muhammad Arslan Rauf continues to contribute to cutting-edge advancements in intelligent systems and AI-driven solutions across multiple domains.
Dr. Amna Iqbal
Head of Artificial Intelligence (AI) Department
Message from HOD
Ms. Amna Iqbal has an impressive educational background, with a Ph.D. scholar from GCUF and an MSCS degree from the same institution. Their academic journey reflects a strong commitment to learning and research in Text Mining. She is specialized in Artificial Intelligence, Natural Language Processing, and Cybersecurity, her doctoral research focuses on developing advanced spam detection models using a hybrid analysis of spammer behavior and linguistic features. Her work emphasizes understanding behavioral patterns, writing styles, and communication anomalies to accurately distinguish malicious content from legitimate messages. By integrating machine learning with behavioral analytics, she aims to create highly reliable and adaptable spam detection systems capable of addressing evolving spam strategies. Her broader research interests include text mining, adversarial machine learning, online fraud detection, and secure communication systems. Besides that she is working in Data sciences, NLP, Machine learning and deep learning. Furthermore, their professional involvement as Postgraduate Coordinator, ADP Coordinator, and FYP Committee member showcases their dedication to academic excellence and their contributions to the institution. Overall, their academic credentials, research achievements, teaching proficiency, and active participation in various committees make them a valuable asset to any educational institution.
Dr. Erssa Arif
Head of Software Engineering(SE) Department
Message from HOD
Dr.Erssa Arif is a distinguished academic and researcher specializing in Image Processing, and AI currently serving as Assistant Professor at the Riphah International University (RIUF), Faisalabad, Pakistan. She earned her Ph.D. in Computer Science from Superior University, Pakistan, with research focused on machine learning, deep learning, and ensemble learning techniques. With over a decade of experience in academia, Dr. Erssa has an impressive research portfolio, contributing to impact factor. Her work spans earthquake prediction, detection, text classification for resource-poor languages, and intelligent resource prediction. She has actively led and supervised innovative projects, including biometric identification using dental features and synthetic data generation for medical imaging. Beyond her research, Dr. Erssa is a skilled educator in software engineering, AI, and big data analytics.
About The Department
The Department of Computing at Riphah International University leads academic quality for computing programs on campus. Our curricula are developed through extensive research, aligned with HEC standards, and mapped to IEEE/ACM international guidelines. All undergraduate offerings—particularly BSCS, BSIT, and BS Cyber Security—hold accreditation from the National Computing Education Accreditation Council (NCEAC).
Students learn in a hands-on ecosystem featuring modern labs, capstone projects, and faculty-guided research addressing realistic challenges. A strong faculty profile and healthy teacher-to-student ratio ensure close supervision, constructive feedback, and professional grooming. We emphasize communication, teamwork, and ethics alongside advanced technical skills.
Graduates emerge career-ready, with pathways across product engineering, data and cyber roles, academia, and research. Many pursue advanced studies internationally, while others translate knowledge into marketable innovations and high-impact products. The department’s blend of theory, practice, and research equips students to contribute meaningfully to Pakistan’s digital future and the global tech landscape.
Department Vision
To be among the leading Computing Faculties of Pakistan, by keeping pace with the demands of the ever-changing Computing landscape, meeting the local and global educational standards and producing quality graduates equipped with technical and Islamic ethical values who can contribute to the society.
Department Mission
To extend the mission of the university by developing an educational environment that is conducive for producing highly committed and motivated computing professionals who are capable of developing indigenous solutions for socio-economic development of the nation.
Program Education Objectives (PEO’s)
- Fundamental Knowledge: Be successful in approaching problems in diverse domains with computing-based solutions using appropriate tools and technologies.
- Professionalism: Be successful in diverse computing related
- Team and Leadership: Accomplish tasks effectively as individuals, team members, and leaders in their profession.
- Ethical Responsibilities: Adopt universal Islamic ethical values within a given professional environment.
- Continuous Professional Development: Engage in life-long learning and professional
Program Learning Outcomes (PLOs)/Graduate Attributes (GAs)
-
The Program Learning Outcomes (PLOs) broadly describe the skills, knowledge, and behaviors the students acquire in their program of study. The PLOs are publicized and available on the university website, university notice boards, posters, and prospectus. Approved PLOs state that the program enables students to:
PLO 1: Academic Education: Completion of an accredited program of study designed to prepare graduates as computing professionals
PLO 2: Knowledge for Solving Computing Problems: Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements
PLO 3: Problem Analysis: Identity, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines
PLO 4: Design/ Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations
PLO 5: Modern Tool Usage: Create, select, adapt, and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations
PLO 6: Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings
PLO 7: Communication: Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions
PLO 8: Computing Professionalism and Society: Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice
PLO 9: Ethics: Understand and commit to professional ethics, responsibilities, and norms of professional computing practice
PLO 10: Life-long Learning: Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.
List of Programs
