Department of Software Engineering
Dr. Nadeem Anjum
Dr Nadeem Anjum has been involved in research and development for more than 18 years. Dr Anjum completed his Masters in Computer Science in 2001 from International Islamic University, Islamabad (with distinction). He joined Advanced Engineering Research Organization and served the organization for five years as an Assistant Manager. To further his studies, he went at Queen Mary University of London (QMUL, UK) for MS in computer science. He achieved distinction in MS and got QMUL scholarship for PhD. He earned his PhD in 2010 and then joined Riphah International University, Islamabad in 2010 as an Assistant Professor. In 2013, he joined the University of Engineering and Technology Taxila as an Assistant Professor and served the organization for three years. In 2016, Dr Anjum joined Stemma International (pvt) limited as founding director. Dr Anjum received the best paper award at IEEE AVSS 2009. His current research interests include deep learning for human activity recognition, computer vision, and machine learning.
Dr. Aamer Nadeem
Dr. Nadeem received his MSc degree in computer science from Quaid-i-Azam University (QAU), MS in software engineering from National University of Sciences and Technology (NUST), and PhD in computer science from Mohammad Ali Jinnah University (MAJU). During his PhD, he worked as a Visiting Scholar at the Chinese University of Hong Kong (CUHK) under a research collaboration. He has over 30 years of teaching, research and industry experience in computer science and software engineering. He has supervised 47 Masters and two PhD research theses in the areas of software testing, fault tolerance and formal methods. He has authored or co-authored over 100 papers in reputable international journals and conferences. He is reviewer or editorial board member of several international peer-reviewed journals and conferences. Dr. Nadeem is an Approved PhD Supervisor by the Higher Education Commission (HEC) of Pakistan. He is a professional member of the Association for Computing Machinery (ACM).
Dr. M. Furqan
Dr. Muhammad Furqan specializes in the Internet of Things, Information-centric networks (CCN), Coding Techniques, Optimization of future cellular networks, IoT-based vehicles, UAVs and Meta surface materials and sometimes operation of Future Internet and mobility management for next-generation computer networks and is deeply involved in the research and policies surrounding the Internet. He completed his PhD in Information and Communication Engineering, at Southeast University, Nanjing, China. During his PhD at Southeast University, he was involved in many projects which are the National Key Research and Development Program of China under Grant 2018YFB1800801, the National Natural Science Foundation of China under Grants 61720106003, and 61531011. In these projects, he worked as a Researcher and successfully completed the projects in the allocated time. He had already experience in the public sector and spent one year in Pakistan Computer Bureau, Islamabad under the NIP program. He worked at the Women University of Swabi in the Department of Computer Science as an assistant professor and had the additional duty of In-Chrage IT of the IT Section, Women University of Swabi. Currently, he is working as an assistant professor at, the Department of Software Engineering, Capital University of Science and Technology, Islamabad. He published many articles in well-reputed Journals and is currently a reviewer of IEEE ACCESS and Hindawi journals.
Dr. Sabeen Masood
Dr. Sabeen Masood is an accomplished professional with a strong academic background and extensive experience in software engineering. She holds a Ph.D. in Software Engineering from the College of Electrical and Mechanical Engineering (CEME) at the National University of Sciences and Technology (NUST) in Islamabad, Pakistan. Prior to her Ph.D., she completed her MS at the International Islamic University in Islamabad. She received a Bachelor of Engineering from the University of Engineering and Technology in Taxila, Pakistan. In terms of professional experience, she currently serves as an Assistant Professor in the Software Engineering Department at the Capital University of Science and Technology in Islamabad. She held various teaching positions throughout her career at different universities. Her industry experience includes working as a Quality Assurance Executive at PTCL. She has also pursued additional training and certification, including a graduate course certificate in Blockchain Technology from Sir Syed CASE Institute of Technology and a training certificate in Web Page Development from Comsats Institute of Information Technology. With her expertise in software engineering, Dr. Sabeen Masood has contributed to the academic community through research, publications, and teaching.
Dr. Farah Haneef
Mr. Ibrar Arshad
Mr. Syed Awais Haider
Mr.Syed Awais Haider received the M.phil Degree from Quaid-i-azam university Islamabad. He has been associated with academia for the last three years in Quaid-i-azam university Islamabad.Currently, he is a lecturer in the Department of Computer Science at the Capital University of Science & Technology, Islamabad.His Research interests include Quantum Mechanics, Quantum Optics, Particle physics and Physical Electronics.
Mr. Mudassar Adeel
Mr. Mudassar Adeel Ahmed has done his BSc. Software Engineering from Mirpur University of Sciences & Technology and MS Computer Software Engineering from College of EME, National University of Sciences & Technology. Currently, he is enrolled in PhD. Computer Software Engineering in College of EME, National University of Sciences & Technology. Mr. Mudassar's research interests are in core Software Engineering i.e. Natural Language Processing, Model Driven Software Engineering and Software Requirement Engineering. He has an industrial experience of 1 year in Center for Advanced Research in Engineering (CARE) . He has joined APCOMS-UET Taxila as Lecturer of Computer Science in 2017. After one year, he joined Capital University of Science & Technology as Lecturer of Software Engineering in 2018. He has authored and co-authored different research papers published in reputable international journals and conferences.
Ms. Qudsia Yousaf
Ms. Qudsia Yousaf holds an experience of industry as well as academia. She has done her BS degree in Computer Engineering from University of Engineering and Technology, Lahore and MS degree in Software Engineering from COMSATS University Islamabad, Islamabad. After BS she joined industry as a quality assurance engineer. She has experience of 2.5 years at well reputed organizations such as Xavor Corporation, Lahore and FiverRivers Technologies Lahore. After MS she started her academic journey as a Lecturer. She has six years of academic experience at different institutes/universities such as Grafton College Islamabad and University of Lahore Islamabad Campus. She has research interests in Software Engineering, HCI, Artificial Intelligence and Machine Learning. She has supervised FYP projects in her academic journey as well.
Ms. Itrat Fatima
Ms. Itrat Fatima completed the MS degree in Computer Science from the COMSATS University Islamabad, Islamabad, in 2018, and joined academia where she worked at different positions including Research Associate and Lecturer. She has research interests in Artificial Intelligence, Smart Grids, Data Science and Machine Learning. She has supervised numerous FYP projects. She also worked as a Lecturer at University of Lahore, Islamabad Campus and have gained 4 years of experience.
Mr. Taimoor Riaz
Mr. Taimoor Riaz currently serves as a Lecturer in the Software Engineering department at CUST. He completed his Master’s in Computer Science from the Capital University of Science and Technology, Islamabad in 2020, with almost 4 years of experience in academia and industry. His areas of interest are Natural Language Processing (NLP) and Machine Learning.
Mr. M. Majid Zaman
Mr. Muhammad Majid Zaman currently serves as a Lecturer in the Software Engineering department at CUST. He completed his Master’s in Computer Science from the Capital University of Science and Technology, Islamabad in 2020, with almost 4 years of experience in academia and industry. His areas of interest include Computer Networks, Information Security, Machine Learning, and Natural Language Processing.
Mr. M. Danish
PROFILE SUMMARY
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Mr. Danish has done his post-graduation from NUST(SEECS) Islamabad with specialization in data science in 2019. He worked on text-classification using machine learning models. He has more than four years experience in industry and academia. He has joined CUST in Software Engineering department and serving here as lecturer.
Ms. Anum Naseem
PROFILE SUMMARY
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Anum Naseem, currently pursuing her Ph.D. in Computer Science at UET Taxila. With an MS in Computer Science from UET Taxila and five years of experience as a lecturer at the University of Lahore, she brings a wealth of knowledge and expertise to her current role as a Lecturer in the Department of Computing at Capital University of Science and Technology. Anum’s passion for research is appreciable with a focus on Internet of Things and Machine Learning.
Ms. Hina Rashid
PROFILE SUMMARY
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A dedicated educator with a focus on teaching and practical instruction at CUST. Currently pursuing a Ph.D. in Computer Science, specializing in areas such as image processing, artificial intelligence, and machine learning. Proficient in delivering courses including Object-Oriented Programming, Operating Systems Lab, and ICT. Skilled in practical project development, including the implementation of a McDonald’s inventory system and research on phishing crime detection on Twitter. Committed to academic excellence and contributing to the advancement of education and research in developing countries like Pakistan.
Engr. Huma Sheraz
I have been associated with academia for the last 3 years. Currently, working as a associate lecturer in department of software Engineering CUST, Islamabad. I had completed my 8-week internship at NTC-MUST, Mirpur during my bachelor’s degree as a Junior Intern in Networking. Shortly after the completion of my bachelor’s degree I worked in Cambridge affiliated college (TGH-Mirpur) as Computer instructor. Right after completion of MS software Engineering, joined MUST (Mirpur University of Science & Technology) as Lecturer in 2022.
Mr. Qaisar Manzoor
Experienced and dedicated lecturer with expertise in Computer Science. Skilled in delivering engaging lectures, fostering critical thinking, and creating an inclusive learning environment. Committed to staying updated with the latest advancements and incorporating real-world examples. Strong mentorship and research supervision abilities. Passionate about empowering students to reach their full potential.
Mr. Tabarak Matloob
Experienced and dedicated lecturer with expertise in Computer Science. Skilled in delivering engaging lectures, fostering critical thinking, and creating an inclusive learning environment. Committed to staying updated with the latest advancements and incorporating real-world examples. Strong mentorship and research supervision abilities. Passionate about empowering students to reach their full potential.
Ms. Syeda Hafsa Ali
PROFILE SUMMARY
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Ms. Ali has done her Masters in Software Engineering with major in hybrid learning techniques from NUST in 2023. She did her Bachelors from Fatima Jinnah Women University where her FYP earned her national runner up position in Microsoft Imagine Cup 2020. She has more than 3 years of working experience in industry and academia combined. Her area of interest includes Deep learning, Generative Artificial Intelligence, Augmented Reality and Software testing techniques
Ms. Uzma Shaheen
PROFILE SUMMARY
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Ms. Uzma Shaheen is a highly accomplished professional who possesses a robust academic background and extensive software engineering experience. She earned her Ms. in Software Engineering from International Islamic university Islamabad, following an BS from the International Islamic University, Islamabad. Her industry background includes a position as a quality assurance Engineer. She has a training certificate in web development from Punjab skills and development fund Islamabad. During the course of her academic career, she has supervised numerous FYP projects.
Ms. Amina Ashfaq
PROFILE SUMMARY
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Ms. Amina Ashfaq is a dedicated in computer science field with a profound academic background and hands-on industry experience. She completed her Bachelor of Science in Computer Science in 2018. Building upon her foundational knowledge, she pursued a Master of Science in Computer Science, graduating in 2021. Her research endeavors during her master's program focused on the critical domain of healthcare technology, specifically in ECG Signal Analysis to Detect Arrhythmia utilizing advanced Deep Neural Networks.
Ms. Asma Rauf
PROFILE SUMMARY
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Ms. Asma Rauf currently serves as an Associate Lecturer in the Software Engineering department at CUST. She completed her Master's degree in Computer Science from PMAS Arid Agriculture University in 2022. With almost 4 years of extensive experience in both academia and industry, she has published a conference paper in IEEE. Her research areas include Situational Method Engineering, Requirement Prioritization, and Agile Practices.
Ms. Fatima Waseem
PROFILE SUMMARY
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Ms. Fatima Waseem completed her Bachelor’s degree in Software Engineering in 2018 and continued her academic journey by obtaining a Master’s degree in the same discipline in 2021. Her dedication to academic excellence is reflected in being awarded a Silver Medal during her Master’s program. Following the completion of her Master’s degree, she embraced an opportunity to contribute to academia as a Lecturer in Software Engineering department at Sir Syed University of Engineering and Technology, Karachi, Pakistan in April 2021. Her tenure ended on October 2023 and then she joined as an Associate Lecturer in Faculty of Computing at Capital University of Science and Technology, Islamabad. Pakistan. Her Research interests encompass Software Engineering, AI, Computer Vision and Image Processing.
Mr. M. Atif Saeed
PROFILE SUMMARY
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He is a skilled data scientist and machine learning expert with a Master's degree in Data Science. With a strong background in both theory and practical application, he specializes in leveraging advanced algorithms and techniques to extract valuable insights from data. Their expertise extends to the domain of financial markets, where he has dedicated significant effort to developing predictive models using machine learning, deep learning, and knowledge graph technologies. His work in stock market prediction reflects their ability to blend cutting-edge methodologies with domain knowledge to tackle complex challenges effectively. With a passion for innovation and a commitment to excellence, Atif Saeed continues to drive impactful solutions at the intersection of data science and finance.
Mr. Qazi Shuja Ud Din
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Mr. Qazi Shuja Uddin currently serves as an Associate Lecturer in the Software Engineering department at CUST. He completed his Master's degree in Software Engineering from Riphah University, Islamabad in 2021. With almost 11 years of extensive experience in both academia and industry, he has published a conference paper in IEEE. His research areas include serious games, usability engineering, and systemic literature review.
Ms. Iqra Javed
Miss Iqra Javed completed the MS degree in Information Security from Khawaja Fareed University of Engineering and Technology Rahim Yar khan and joined academia where she started working at the position of Associate Lecturer. Her research work is in the Domain of Machine Learning . She has Highest CGPA from her whole Batch . She has interests in Information Security, Machine Learning, Networking Technologies, Security Technologies.
Mr. Temour Abbas
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I am working as an associate lecturer in the Software Engineering Department of the Capital University of Science and Technology, Islamabad. I have been associated with academia for the last 4 years. I was appointed as a Lab Instructor in 2019. My interest areas are Introduction to Programming, Object Oriented Programming, Software Architecture and Design, Software Construction and Development and Mobile Application Development.
Islam Ud Din
Mr. Islam Ud Din completed his M. Phil from Quaid-i-Azam University, under the HEC Merit Based Scholarship. Presently working as an Associate Lecturer at CS Department, Capital University of Science and Technology, C.U.S.T. He has also been working as a researcher at CS Lab, department of computer science QAU. His research area focuses on Facial Expression Recognition and classification. He has worked on Autism detection as well. His research work is to apply FER in diverse application areas especially in medical sciences.
Mr. Sabit Ullah
Ms. Isha Elahi
Ms. Samar Fatima
Mr. Muhammad Awais
Imran Ul Haq
Imran ul haq has extensive experience of one and half years as Machine Learning Engineer and skilled Data Scientist. In addition, He has experience of more than a year of teaching at the undergraduate level. He exhibits expertise in machine learning, proficient data analytic abilities, and a documented history of successful teaching.
Hamza Ishaq
Hamza Ishaq is a skilled Web developer and professional IoT developer. He has a strong background in both theory and practical application of Web and IOT’s and specializes in leveraging advances in REACT JS, NODE JS etc.
Fatima Khurshid
Fatima Khurshid has completed Bachelors of Science in Computer Science form CUST Islamabad. She is enthusiastic about sharing her expertise with students and bring industry knowledge to classroom. She is passionate about guiding and inspiring students in the classroom and outside classroom.
Asma Begum
After the completion of bachelor’s degree from COMSATS, Wah Campus, Ms. Asma Begum worked for a year in Kaizen Global, Rawalpindi as a Web Developer. She also worked as a Lab Instructor at Sir Syed CASE Institute of Technology for two years and joined Capital University of Science and Technology as a Lab Instructor. She completed the MS degree in computer science from Sir Syed CASE Institute of Technology, Islamabad in 2024. Her research areas are Machine Learning, Deep Learning and Artificial Intelligence.