Dr. Aleeha Iftikhar
Category: Faculty
Published on: March 7, 2023
Personal Information
Name Dr. Aleeha Iftikhar
Email aleehai.buic@bahria.edu.pk
Phone 9260002 ext 1341
Research Area Data Science, Human Computer Interaction
Number of Publications Conferences =5, Journals = 3
Affiliation
Designation Sr. Assistant Professor
Department Computer Science
University Bahria University Islamabad Campus
Qualification
Degree Passing Year Majors University
PhD Computer Science 2022 Data Science & HCI Ulster University Belfast, UK
MS(CSE) 2014 Software Engineering NUST, Islamabad
BS(CS) 2011 Computer Science UAJK, Muzaffarabad
Teaching Experience
Designation From To Organization
Sr.Asst.Professor Feb 2023 Date Bahria University Islamabad
Demonstrator September 2018 April 2021 Ulster University Belfast, UK
Lecturer March 2014 April 2018 COMSATS University Islamabad, Abbottabad Campus
Publications

Journals:

Sr. #
1 Iftikhar et al., “Human⇓computer agreement of electrocardiogram interpretation for patients referred to and declined for primary percutaneous coronary intervention: retrospective data analysis study,” JMIR Med. Informatics, vol. 9, no. 3, pp. 1–11, 2021. IF 3.43
2 Iftikhar et al., “Computational time series analysis of patient referrals to a primary percutaneous coronary intervention service,” Health Informatics J., vol. 26, no. 3, pp. 2222–2236, 2020. IF 2.93
3
A. Iftikhar et al., “Comparing single-page, multipage, and conversational digital forms in health care: Usability study,” JMIR Hum. Factors, vol. 8, no. 2, Apr. 2021. IF 2.51

Conferences:

Sr. #
1 Iftikhar et al., “Role of dashboards in improving decision making in healthcare: Review of the literature,” in ECCE 2019 – Proceedings of the 31st European Conference on Cognitive Ergonomics: “‘Design for Cognition,’” 2019, pp. 215–219.
2 A. Iftikhar, R. Bond, V. McGilligan, A. McShane, and A. Peace, “Interactive technology to aid decision making in cardiac care,” in ECCE 2019 – Proceedings of the 31st European Conference on Cognitive Ergonomics: “‘Design for Cognition,’” 2019, pp. 10–13.
3 A. Iftikhar et al., “Machine Learning to Predict 30 Days and 1-Year Mortality in STEMI and Turndown Patients,” in Computing in Cardiology, 2020, vol. 2020-Septe.
4 A. Iftikhar et al., “Predicting 30 days Mortality in STEMI Patients using Patient Referral Data to a Primary Percutaneous Coronary Intervention Service,” in Proceedings – 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, 2019, pp. 1315–1317.
5 A. Iftikhar et al., “Unsupervised Machine Learning Elicits Patient Archetypes in a Primary Percutaneous Coronary Intervention Service,” in Proceedings – 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, 2019, pp. 1309–1314.