Aneeqa Ramzan

Designation                       Lecturer   

Email ID(s)                          aneeqaramzan@nutech.edu.pk  

NUTECH ext.                     262 

Profile Summary

Lecturer at Electrical Engineering Department, NUTECH.

Qualification
Sr. NoDegreeUniversityYear
1MS Computer Engineering (Medical Imaging)College of Electrical & Mechenical Engineering (CE&ME), National University of Sciences and Technology (NUST), Islamabad2018
2BS Electronic EngineeringInternational Islamic University, Islamabad2015

Teaching Experience

Sr. NoDesignationUniversityYear
FromTo
1LecturerNUTECH, Islamabad2019Date
2Lab EngineerCollege of E&ME, NUST, Islamabad20162017
3Research AssistantCollege of E&ME, NUST, Islamabad20172018

Industrial Experience

Sr. NoDesignationIndustryYear
FromTo
1InternSmart PCBs, KRL20132013

Honors and Awards

Sr. NoAwardYear
13rd position in BS Electronic Engineering2015
2BS final year project: RFID Card Based Vending Machine funded by National Development Complex (NDC), NESCOM Islamabad2015
3MS Thesis in collaboration with AFIO, CMH, Rawalpindi and funded by HEC, Pakistan2017
44 IEEE Course Certificates2020
52 Springer Course Certificates2020

Research Areas/Interests

Sr. NoAreaDescription
1Medical ImagingDecision Support System for Detection of retinal diseases using Structural and Non Structural Features
2Signal ProcessingQuality assesment and classification of heart sounds
3Electronics and CommunicationRadio frequency identification technology based electronics and communication real life applications

Publications

Sr. NoPublication TitleCategoryYear of Publication
1A. Ramzan, M.U. Akram, J. Ramzan, A.A. Salam, Q. Mubarak, and U.U. Yasin, “Automated Inner Limiting Membrane Segmentation in OCT Retinal Images for Glaucoma Detection”, Advances in Intelligent Systems and Computing, LNCS, chapter 93, volume 857, Springer, 2018.Book Chapter2018
2Q. Mubarak, M.U. Akram, A. Shaukat, and A. Ramzan, “Quality assessment and classification of heart sounds using PCG signals”, Applications of Intelligent Technologies in Healthcare, Springer, 2018.Book Chapter2018
3A. Ramzan, M.U. Akram, A. Shaukat, S.G. Khawaja, U.U. Yasin, W.H. Butt, “Automated Glaucoma Detection using Retinal Layers Segmentation and Optic Cup to Disc Ratio in OCT Images”, Journal of Image Processing, IET, IF=1.401, volume 12(10), DOI: 10.1049/iet-ipr.2018.5396, 2018, published.ISI Indexed Journal Papers2018
4H. Raja, M.U. Akram, S.G. Khawaja, M. Arslan, A. Ramzan and N., Nazir, “Data on OCT and fundus images for the detection of glaucoma”, Data in brief, IF=1.7, Volume 29, p.105342, DOI: 10.1016/j.dib.2020.105342, 2020, published.ISI Indexed Journal Papers2020
5H. Raja, M. U. Akram, T. Hassan, A. Ramzan, A. Aziz & H. Raja, Glaucoma Detection Using Optical Coherence Tomography Images: A Systematic Review of Clinical and Automated Studies, IETE Journal of Research (TIJR), Taylor & Francis Group, Vol 69(11), IF=1.5, 2022, DOI: 10.1080/03772063.2022.2043783ISI Indexed Journal Papers2022
6A. Ramzan, S. Rehman, and A. Perwaiz, “RFID Technology: Beyond Cash-Based Methods in Vending Machine”, IEEE International Conference on Control and Robotics Engineering ICCRE2017, Thailand, 2017, published.International Conference Papers2017
7M. Naveed, A. Ramzan, and M.U. Akram, “Clinical and Technical Perspective of Glaucoma Detection using OCT and Fundus Images: A Review”, IEEE International Conference on Next Generation Computing Applications, NextComp2017, Mauritius, 2017, published.International Conference Papers2017
8A. Ramzan, M.O.B. Saeed, “LDPC Coded OFDM System with BPSK Modulation: Performance Comparison with Uncoded OFDM System”, IEEE International Conference on Control and Robotics Engineering, ICCRE2018, Japan, 2018, published.International Conference Papers2018
9H. Raja, M.U.Akram, A. Ramzan, T.Khalil, A, Aziz, “A framework of extraction of Inner Limiting Membrane in high speckle noisy images ”, IEEE 6th International Conference on Control, Decision and Information Technologies, CoDIT, France, 2018, published.International Conference Papers2019