Momina Moetesum
Category: Faculty
Published on: January 24, 2015
Last updated on July 24th, 2020
PERSONAL INFORMATION
Name Momina Moetesum  
Email momina.buic@bahria.edu.pk
Phone 9260002 ext 1392
Research Area Online and Offline Handwriting Document Analysis using Deep Learning , Digital Image Processing & Pattern Recognition
Number of Publications

Journals = 4

Conferences = 14
AFFILIATIONS
Designation Assistant Professor
Department Department of Computer Science
University Bahria University Islamabad Campus
 
QUALIFICATION
DEGREE PASSING YEAR MAJORS UNIVERSITY
PhD Awaiting Defense Digital Image Processing & Pattern Recognition Bahria University
MS(T&N) 2011 Telecommunication Bahria University
BE 2004 Computer Software Engineering National University of Science & Technology (NUST)
TEACHING EXPERIENCE
Designation From To Organization
Assistant Professor July 2018 Present Bahria University
Lecturer August 2014 July 2018 Bahria University
Lab Engineer 2013 2014 Bahria University
Research Assistant 2013 2013 Bahria University
INDUSTRIAL EXPERIENCE
Designation From To Organization
Intern 2003 2004 Pakistan Telecommunication Corporation Limited (PTCL)
PUBLICATIONS

Journal Publications

1 Moetesum, M., Siddiqi, I., Ehsan, S., and Vincent, N., “Deformation Modeling and Classification Using Deep Convolutional Neural Networks for Computerized Analysis of Neuropsychological Drawings”, Neural Computing and Applications (NCA), Springer, 2020. {JCR 2019 IF: 4.66}
2 M. Moetesum, I. Siddiqi, N. Vincent and F. Cloppet, Assessing visual attributes of handwriting for prediction of neurological disorders—A case study on Parkinson’s disease, Pattern Recognition Letters, 2018. {JCR 2017 IF:1.99}
3 Younus, S. W., Warsi, M. A., Moetesum, M., Siddiqi, I., “Segmentation and Recognition of Electronic Components in Hand-Drawn Circuit Diagrams”. EAI Endorsed Transaction on Scalable Information Systems, Issue No. 16, Volumn No. 4, Apr. 2017.
4 Moetesum, M., Hadi, F., Imran, M., Minhas, A., and Athanasios V. “An Adaptive and Efficient Buffer Management Scheme for Resource-Constrained Delay Tolerant Networks”. Wireless Networks, vol. 21, pp. 1-13, Springer US, Oct. 2015. {JCR 2015 IF: 0.96}

Conference Proceedings

1 Moetesum, M., Siddiqi, I., Javed, F., and Masroor, U., “Dynamic Handwriting Analysis for Parkinson’s Disease Identification Using C-BiGRU Model”, In Proc. of 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), Germany, 2020. (Accepted)
2 Ismail, B., and Moetesum, M.,“Automated Detection and Quantification of Erythrocytes and Leukocytes from Giesma Stains of Blood Smear”. In Proc. of IEEE 14th International Conference on Emerging Technologies (ICET), Islamabad, Pakistan, 2018
3 Hamid, A., Bibi, M., Siddiqi, I., and Moetesum, M. “Historical Manuscript Dating using Textural Measures”. In Proc. of 16th International Conference on Frontiers of Information Technology (FIT’18), Islamabad, Pakistan, 2018
4 Bibi, M., Hamid, A., Moetesum, M., and Siddiqi, I., “Document Forgery Detection using Printer Source Identification – A Text-Independent Approach”. In Proc. of 2nd International Workshop on Computational Document Forensics, (IWCDF19), Sydney, Australia, Sep. 2019
5 Hamid, A., Bibi, M., Moetesum, M., and Siddiqi, I., “Deep Learning based Approach for Historical Manuscript Dating”. In Proc. of 15th International Conference on Document Analysis and Recognition, (ICDAR19), Sydney, Australia, Sep. 2019
6 Moetesum, M., Siddiqi, I., and Vincent, N., “Deformation Classification of Drawings for Assessment of Visual-Motor Perceptual Maturity”. In Proc. of 15th International Conference on Document Analysis and Recognition, (ICDAR19), Sydney, Australia, Sep. 2019
7 Moetesum, M., Zeeshan O., and Siddiqi I., “Multi-Object Sketch Segmentation Using Convolutional Object Detectors”. In Proc. of 10th International Conference on Graphics and Image Processing (ICGIP2018), Chengdu, China, 2018.
8 Moetesum, M., Siddiqi, I., Chawki, D., and Sommayya Al-Madeed, “Data Driven Feature Extraction for Gender Classification using Multiscript Handwritten Texts”. In Proc. of 16th International Conference on Frontiers in Handwriting Recognition (ICFHR), USA, 2018.
9 Begum, H., Shaheen, S., Moetesum, M. and Siddiqi, I. “Digital Beethoven – An Android Based Virtual Piano”’. In Proc. of IEEE 13th International Conference on Emerging Technologies (ICET), Islamabad, Pakistan, Dec. 2017.
10 Moetesum, M., Aslam, T., Saeed, H., Siddiqi, I., and Masroor, U. “Sketch-based Facial Expression Recognition for Human Figure Drawing Psychological Test”. In Proc. of 15th International Conference on Frontiers of Information Technology (FIT’17), Islamabad, Pakistan, Dec. 2017.
11 Nazar, H., Moetesum, M., Ehsan, S., Siddiqi, I., Khursheed, K., Vincent, N., and Klaus, D. “Classification of Graphomotor Impressions using Convolutional Neural Networks – An Application to Automated Neuropsychological Screening Tests”. In Proc. of 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Kyoto, Japan, Nov. 2017.
12 Mirza, A., Moetesum, M., Chawki, D., and Siddiqi, I. “Gender Classfication from Offline Handwriting Images using Textural Features”. In Proc. of 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), Shenzhen, China, October. 2016.
13 Moetesum, M., Siddiqi,I., Masroor,U., Vincent,N., and Cloppet,F. “Segmentation and Classification of Offline Hand Drawn Images for the BGT Neuropsychological Screening Test”. In Proc. of 8th International Conference on Digital Image Processing (ICDIP), Chengdu, China, May. 2016.
14 Moetesum, M., Siddiqi, I., Masroor, U. and Djeddi, C. “Automated Scoring of Bender Gestalt Test Using Image Analysis Techniques”’. In Proc. of 13th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nancy, France, Aug. 2015.

Books and Book Chapters

1 Moetesum, M. and Siddiqi, I., “Socially Believable Robots“, Human-Robot Interaction – Theory and Application, IntechOpen.