Dr. Saeeda Naz
| Name | Dr. Saeeda Naz |
| Designation | Associate Professor (Head of the departement) |
| Office Contact | 0992-9310128 |
| Personal Contact | N/A |
<p><p><br /> Currently, working as an associate professor and chairperson of department of computer science at GGPGC No.1, Abbottabad, Higher Education Department of Government of Khyber-Pakhtunkhwa, Pakistan, since 2008. She obtained her BS degree from Computer Science Department, University of Peshawar, MS from COMSATS Institute of Information Technology, Abbottabad and PhD degree (Computer Science) with distinction from Hazara University, Department of Information Technology, Mansehra, Pakistan. She is a writer of six book chapters and more than 46 research publications in well reputed journals and conferences. She is founding and active member of research group RULE (Research for Urdu Langue).&nbsp; Her research area/field of expertise includes deep learning, big data, intelligent system, medical imaging, text and image processing.&nbsp;<br /> OBJECTIVE:<br /> My research philosophy is to endeavor to investigate practical problems in computer vision, intelligent system with special emphasis to healthcare and document imaging. My aim is to gain valuable hands on experience and professional skills in an organization which provides a challenging, learning and developing atmosphere.<br /> PUBLICATIONS:<br /> https://scholar.google.com/citations?user=GlXI4N232aAAJ&amp;hl=en<br /> Citations&nbsp; &nbsp; &nbsp;1877<br /> h-index&nbsp; &nbsp; &nbsp; &nbsp;23<br /> i10-index&nbsp; &nbsp; &nbsp;41<br /> Summary<br /> Journals&nbsp; &nbsp; &nbsp; &nbsp; 45<br /> Confrences &nbsp; &nbsp; 14Cgu<br /> Book Chapters&nbsp; &nbsp;7<br /> <br /> <br /> Journals:<br /> 2025<br /> 1. M. Ehsaan, S. Naz, H. Ehsaan, S Gul, F Hadi, A Abdelhamid, Fahmi Khalifa ,&nbsp; F Khalifa, Multi-Resolution Multi-Path Shallow Deep Network for Diabetic Foot Ulcers Identification, Biomedical Signal Processing and Control, 2025.<br /> 2. N Shehzadi, A Rehman, S Naz, S Rehman, F Khalifa, Machine learning and deep learning based psoriasis recognition system: evaluation, management, prognosis&acirc;&euro;&rdquo;where we are and the way to the future, Artificial Intelligence Review 58 (9), 263, 2025.<br /> 2023<br /> 3. Saeeda naz, Iqra kamran, Sara Gul, Fazle Hadi, Fahmi Khalifa, Multi-Model Fusion of CNNs for Identification of Parkinson&acirc;&euro;&trade;s Disease Using Handwritten Samples, IEEE Access 11, 135600-135608, nov 2023.<br /> 4. Mahnoor Ehsaan, Saeeda Naz, Riaz Ahmad, Haleema Ehsaan, Aisha Sikander, A Deep Learning Approach for Diabetic Foot Ulcer Classification and Recognition 14, 36, 2022.<br /> 5. Arshia Rehman, Saeeda NazReview on chest pathogies detection systems using deep learning techniques Razzak, Springer artificial intelligence review journal, 2023. (impact factor 9.588)<br /> 2022<br /> 6. Imran Razzak, Saeeda Naz, A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer&#39;s Disease Detection using Brain MRIs,&nbsp; IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022.<br /> 7. Saeeda naz, abida ashraf, Transfer learning using freeze features for Alzheimer neurological disorder detection using ADNI dataset, multimedia system, 2022.<br /> 8. Imran Razzak, Saeeda Naz, abida ashraf, Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data, International Journal of Intelligent Systems 37 (10), 6613-6630, 2022.&nbsp;<br /> 9. Saeeda Naz, Kiran, Riaz ahmad, DeepSignature: fine-tuned transfer learning based signature verification system, Multimedia Tools and Applications 81 (26), 38113-38122, 2022.&nbsp;<br /> 10. Zain Ayaz,&acirc;&euro;&cent;Saeeda Naz,&acirc;&euro;&cent;Naila Habib Khan,&acirc;&euro;&cent;Imran Razzak, Muhammad Imran, Automated Methods for Diagnosis of Parkinson&acirc;&euro;&trade;s Disease and Predicting Severity Level, Neural Computing and Application, 2022.&nbsp;<br /> 2021&nbsp;<br /> 11. A Ashraf, S Naz, SH Shirazi, I Razzak, M Parsad Deep, transfer learning for alzheimer neurological disorder detection, Multimedia Tools and Applications, 1-26, 2021.&nbsp;<br /> 12. A Rehman, S Naz, I Razzak, Leveraging big data analytics in healthcare enhancement: Trends, challenges and opportunities, Multimedia Systems, 20.<br /> 13. Iqra, S Kamran, M Naz, I Razzak, Handwriting dynamics assessment using deep neural network for early identification of Parkinson&acirc;&euro;&trade;s Disease, Future Generation Computer Systems 117, 234-244, 2021.&nbsp;<br /> 14. R Ahmad, S Naz, I Razzak, Efficient Skew Detection and Correction in Scanned Document Images Through Clustering of Probabilistic Hough Transforms, Pattern Recognition Letters, 2021.<br /> 2020&nbsp;<br /> 15. I Razzak, S Naz, Unit-vise: Deep Shallow Unit-Vise Residual Neural Networks with Transition Layer For Expert Level Skin Cancer Classification, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020.<br /> 16. R Ahmad, S Naz, M Afzal, S Rashid, M Liwicki, A Dengel, A Deep Learning based Arabic Script Recognition System: Benchmark on KHAT, International Arab Journal of Information Technology (IAJIT), 2020.<br /> 2019<br /> 17. Amina Naseer, Saeeda Naz, M.I Razzak, &acirc;&euro;&oelig;Refining Parkinson&acirc;&euro;&trade;s Neurological Disorder Identification Through Deep Transfer Learning,&acirc;&euro; Neural Computing and Application, Springer, 2019.&nbsp; (Impact Factor=4.213)&nbsp;&nbsp;<br /> 18. Rehman, Arshia, Saeeda Naz, M.I Razzak &acirc;&euro;&oelig;Automatic Visual Features for Writer Identification: A Deep Learning Approach,&acirc;&euro; IEEE Access, 2019. (Impact Factor=3.557)&nbsp;&nbsp;<br /> 19. Saad Bin Ahmad, Saeeda Naz, M.I Razzak, Rubiya Yosuf, &acirc;&euro;&oelig;Arabic Cursive Text Recognition from Natural Scene Images,&acirc;&euro; Applied Sciences, vol. 9, issue 2, 236, 2019. (Impact Factor=1.68)&nbsp;&nbsp;<br /> 20. Saad Bin Ahmad, Saeeda Naz, M.I Razzak, Rubiya Yosuf, &acirc;&euro;&oelig;A novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42k and Its Evaluation using Invariant Feature Extraction on Detected Extremal Regions,&acirc;&euro; IEEE Access Journal, 2019. (Impact Factor=3.357)&nbsp;&nbsp;<br /> 2018<br /> 21. Rehman, Arshia, Saeeda Naz, M.I. Razzak &acirc;&euro;&oelig;Writer identification using machine learning approaches: a comprehensive review&acirc;&euro;, Multimedia Tools and Applications, Springer, 2018. (Impact Factor=1.541)&nbsp;&nbsp;<br /> 22. Saeeda Naz, Arif Iqbal Umar, Saad Bin Ahmed, Riaz Ahmad, Syed Hamad Shirazi, Muhammad Imran Razzak, &acirc;&euro;&oelig;Statistical Feature Extraction For Urdu Character Using Recurrent Neural Network&acirc;&euro;, Pakistan statistical Journal, 2018.&nbsp;&nbsp;<br /> <br /> 2017<br /> 23. Saeeda Naz, Arif I. Umar, Riaz Ahmed, Imran Siddiqi, Muhammad I. Razzak, Faisal Shafait, &acirc;&euro;&oelig;Urdu Nastaliq Recognition using Convolutional-Recursive Deep Learning&acirc;&euro;, Neurocomputing, 2017. (Impact Factor=3.317)&nbsp;&nbsp;<br /> 24. Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Saad Bin Ahmed, Syed Hamad Shirazi, Muhammad Imran Razzak, &acirc;&euro;&oelig;Urdu Nasta&acirc;&euro;&trade;liq text recognition system based on multi-dimensional recurrent neural network and statistical features&acirc;&euro;, Neural Computing and Application, vol26, no. 8, ISSN 0941-0643, 2017. http://www.sciencedirect.com/science/article/pii/S092523121501749X (Impact Factor=2.505<br /> 25. Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak,&nbsp; &acirc;&euro;&oelig;Handwritten Urdu character recognition using one-dimensional BLSTM classifier&acirc;&euro;, Neural Computing and Applications, 2017. (Impact Factor=2.505)<br /> 26. Saad Bin Ahmed, SaeedaNaz, Salahuddin Swati, Muhammad Imran Razzak, Akbar Ali Khan, Arif Iqbl Umar, &acirc;&euro;&oelig;UCOM Offline Dataset &acirc;&euro;&ldquo; An Urdu Handwritten Dataset Generation&acirc;&euro;, International Arab Journal Of Information Technology, vol. 14, no. 2, 2017. http://ccis2k.org/iajit/PDF/Vol%2014,%20No.%202/8721.pdf&nbsp; &nbsp;(Impact Factor=0.74)<br /> 27. Syed Hamad Shirazi, Arif Iqbal Umar, Nuhman ul Haq, Saeeda Naz, Muhaamad Imran Razzak, Extreme Learning Machine Based Microscopic Red Blood Cells Classification, Cluster Computing, 2017. (Impact Factor=2.040)<br /> 2016<br /> 28. Saeeda Naz, Arif I. Umar, Riaz Ahmed, Imran Siddiqi, Muhammad I. Razzak, Faisal Shafait, &acirc;&euro;&oelig;Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks, Neurocomputing, vol. 177,&nbsp; pp. 228&acirc;&euro;&ldquo;241, 2016. http://www.sciencedirect.com/science/article/pii/S092523121501749X. (Impact Factor=3.317)&nbsp;&nbsp;<br /> 29. Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Muhammad Imran Razzak, Shiekh Faisal Rashid, Saisal Shafiat, &acirc;&euro;&oelig;Urdu Nasta&#39;liq Text Recognition using Implicit Segmentation and Multi-Dimensional Recurrent Neural network&acirc;&euro;, SpringerPlus, vol. 2, no. 1, 5 Dec, 2016. https://link.springer.com/article/10.1186/s40064-016-3442-4&nbsp; &nbsp; &nbsp;(Impact Factor=0.98)<br /> 30. Saeeda Naz, Saad Bin Ahmed, Riaz Ahmad, Syed Muhammad Imran Razzak, Zoning features and 2DLSTM for Urdu text-line recognition, Procedia Computer Science, vol. 96, pp. 16-22, 2016. http://www.sciencedirect.com/science/article/pii/S1877050916318725&nbsp; (ISI)<br /> 31. Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Sheikh Faisal Rashid, Muhammad Zeeshan Afzal, Thomas M. Breuel, &acirc;&euro;&oelig;Evaluation of Cursive and Non-cursive scripts using Recurrent Neural Networks&acirc;&euro;, Neural Computing and Applications, vol. 227, no. 3, pp 603&acirc;&euro;&ldquo;613, 2016. https://link.springer.com/article/10.1007/s00521-015-1881-4&nbsp; &nbsp;(Impact Factor=2.5)&nbsp;<br /> 32. Syed H Shirazi, Arif Iqbal Umar, Saeeda Naz, Muhammad I Razzak, Efficient leukocyte segmentation and recognition in peripheral blood image, Technology and Health Care, vol. 24, no. 3, pp. 335-347, 2016. http://content.iospress.com/articles/technology-and-health-care/thc1133..&nbsp; &nbsp; &nbsp;(Impact Factor=0.697)<br /> 33. Syed Hamad Shirazi, Iqbl Umar, Nuhman ul Haq, Saeeda Naz , Noor ul Amin Khan, Muhmmad Imran Razzak, Bandar AlHaqbani, Content-Based Image Retrieval Using Texture Color Shape and Region, International Journal of Advanced Computer Science and Applications, vol. 7, no. 1, 418-126,&nbsp; 2016.&nbsp; (ISI)<br /> 34. Riaz Ahmad, Zeeshan Afzal, Shiekh Faisal Rasheed, Saeeda Naz, &acirc;&euro;&oelig;Semi-Automated Transcription Generation for Pashto Cursive Script&acirc;&euro;, vol 6, no S3, Journal of Applied Environmental and Biological Sciences, vol S3, 2016.&nbsp; (ISI)<br /> 35. Syed Hamad Shirazi, Arif Iqbal Umar, Saeeda Naz, Fahad Shirazi, Muhammad Imran Razzak, &acirc;&euro;&oelig;A Novel Method for Scanning Electron Microscope Image Segmentation and Its Application to Blood Cell Analysis&acirc;&euro;, Journal of Applied Environmental and Biological Sciences, vol 6, no, 2016. (ISI)<br /> 36. Syed Hamad Shirazi, Arif Iqbal Umar, Saeeda Naz, Fahad Shirazi, Muhammad Imran Razzak Images&acirc;&euro;, Journal of Applied Environmental and Biological Sciences,&nbsp; vol 6, no S3,2016. (ISI)<br /> 2015<br /> 37. Riaz Ahmad, Saeeda Naz, Muhammad Zeeshan Afzal, Hasan Amin, ThomsanBeruel, &acirc;&euro;&oelig;Robust Optical Recognition of Cursive Pashto Script using Scale, Rotation and Location Invariant Approach&acirc;&euro;, PLOS ONE, vol 10(9), July 2015. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0133648. (Impact Factor= 3.534)<br /> 38. Saeeda Naz, Arif Iqbal Umar, Muhammad Imran Razzak, &acirc;&euro;&oelig;Lexicon reduction for Urdu/Arabic Script Based Character Recognition: A Multilingual Urdu Script OCR&acirc;&euro;, Mehran University of Engineering &amp; Technology (MUET), Volume 36, No. 2, April, 2015. http://publications.muet.edu.pk/research_papers/pdf/pdf1277.pdf&nbsp; (HEC X-category)<br /> 39. Saeeda Naz, Arif Iqbal Umar, Muhammad Imran Razzak, &acirc;&euro;&oelig;A Hybrid Approach for NER System for Scarce Resourced Language-URDU: Integrating n-gram with Rules and Gazetteers&acirc;&euro;, Mehran University of Engineering &amp; Technology (MUET), Volume 34, No. 4, October, 2015 [ISSN 0254-7821]. http://publications.muet.edu.pk/research_papers/pdf/pdf1145.pdf&nbsp; &nbsp;(HEC X-category)<br /> 40. Saeeda Naz, AI Umar, SB Ahmed, SH Shirazi, Muhammad Imran Razzak, I Siddiqi, &acirc;&euro;&oelig;Segmentation Techniques for Recognition of Arabic-like Scripts: A Comprehensive Survey&acirc;&euro;, Education and Information Technologies-Springer, 2015. (SCOPUS)<br /> 41. Liaqat Mahmood, Syed F. Shirazi, Saeeda Naz, Syed H. Shirazi, Muhammad Imran Razzak, Arif I. Umar, Syed Shees Ashraf, &acirc;&euro;&oelig;Adaptive Filtering Algorithms for Channel Equalization in Wireless Communication&acirc;&euro;, Indian Journal of Information Technology, 2015. http://52.172.159.94/index.php/indjst/article/view/57805 (ISI, ULRICH, SCOPUS)<br /> 2014<br /> 42. Saeeda Naz, Khizar Hayat, Muhammad Imran Razzak, Muhammad Waqas Anwar, Sajjad Ahmad Madani, Sami Ullah Khan, &acirc;&euro;&oelig;The optical character recognition of Urdu-like cursive scripts&acirc;&euro;, Pattern Recognition 47 (3), 1229-1248, 2014. (Impact Factor=3.062) http://www.sciencedirect.com/science/article/pii/S0031320313004135<br /> 43. Syed Hamad Shirazi, Nuhman ul Haq, Khizar Hayat, Saeeda Naz, &acirc;&euro;&oelig;Curvelet based offline analysis of SEM images&acirc;&euro;, PLOS ONE, 2014. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0103942&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; (Impact Factor=3.534)<br /> 44. Saeeda Naz, AI Umar, SH Shirazi, Sajjad Ahmad Khan, Akbar Ali Khan, &acirc;&euro;&oelig;Challenges of Urdu Named Entity Recognition: A Scarce Resourced Language&acirc;&euro;, Research Journal of Applied Sciences, Engineering and Technology 8 (10), 2014.&nbsp; (SCOPUS, Ulrich indexing)<br /> 45. Saeeda Naz, AI Umar, SH Shirazi, MM Ajmal, Salahuddin, &acirc;&euro;&oelig;The Optical Character Recognition for Cursive Script Using Hmm: A Review&acirc;&euro;, Research Journal of Applied Sciences, Engineering and Technology 8 (19), 2014. (SCOPUS, Ulrich indexing)<br /> 46. Saeeda Naz, SH Shirazi, T Iqbal, M Junaid, Y Naseer, &acirc;&euro;&oelig;Learning Programming through Multimedia and Dry-run&acirc;&euro;, Research Journal of Applied Sciences, Engineering and Technology, 7(21): 4455-4463, 2014. (SCOPUS, Ulrich indexing)<br /> 2006<br /> 47. B Hayat, S Naz, Mobile IP: enabling user mobility, ACM Ubiquity MAgzine, vol 12, no. 2, 2006. http://dl.acm.org/citation.cfm?id=1217824<br /> Conference:&nbsp;<br /> 2020<br /> 1. Deep analysis of handwritten notes for early diagnosis of neurological disorders<br /> I Razzak, I Kamran, S Naz, 2020 International Joint Conference on Neural Networks (IJCNN), 1-6 2 2020<br /> 2. Skin lesion analysis toward accurate detection of melanoma using multistage fully connected residual network, I Razzak, G Shoukat, S Naz, TM Khan<br /> 2020 International Joint Conference on Neural Networks (IJCNN), 1-8 1 2020<br /> 3. Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image, SA Riaz, S Naz, I Razzak, 2020 International Joint Conference on Neural Networks (IJCNN), 1-7 2020<br /> 4. Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points, SB Ahmed, S Naz, I Razzak, M Prasad 2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020<br /> 2017<br /> 5. Ahmed, Saeeda Naz, MI Razzak, Rubiyah Yusof, Deep Learning based Isolated Arabic Scene Character Recognition, Conference: Arabic Script Analysis and Recognition (ASAR), At Nancy, France, 2017.<br /> 6. Muhammad Imran Razzak, Saeeda Naz, Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning, IEEE Computer Vision and Pattern Recognition Workshops (CVPRW), 2017.<br /> 7. Riaz Ahmad, Saeeda Naz, M. Zeshan Afzal, S. Faisal Rashid, Marcus Lwicki, Andreas Dengel, The Impact of Visual Similarities of Arabic-like scripts in Terms of Learning in an OCR System, MOC, ICDAR, 2017.&nbsp;<br /> 8. Riaz Ahmad, Saeeda Naz, M. Zeshan Afzal, S. Faisal Rashid, Marcus Lwicki, Andreas Dengel, KHATT: a Deep Learning Benchmark on Arabic Script, MOC, ICDAR, 2017.&nbsp;<br /> 9. Uma-e- Hani, Saeeda Naz, Ibrahim A Hameed. &acirc;&euro;&oelig;Automated Techniques for Brain Tumor Segmentation and Detection&acirc;&euro; International Conference on Behavioral, Economic, and Socio-cultural Computing (BESC), 2017.<br /> 2016<br /> 10. SaeedaNaz, Saad Bin Ahmed, Riaz Ahmad, Muhammad Imran Razzak, Arabic Script based Digit Recognition Systems, International Conference on Recent Advances in Computer Systems (RACS), 2016.<br /> 2014<br /> 11. SaeedaNaz, Arif Iqbal Umar, Saad Bin Ahmed, SH Shirazi, Muhammad Imran Razzak, Imran Siddiqi, An OCR System For Printed Nasta&acirc;&euro;&trade;liq Script: A Segmentation Based Approach, 17 IEEE International Multi-topic Conference (INMIC), 2014<br /> 2013<br /> 12. SaeedaNaz, Khizar Hayat, Muhammad Waqas Anwar, Habib Akbar, Muhammad Imran Razzak, Challenges in baseline detection of cursive script languages, Science and Information Conference (SAI), 2013, 551-556, 2013&nbsp;<br /> 13. SaeedaNaz, Khizar Hayat, Muhammad Imran Razzak, MW Anwar, H Akbar,Arabic script based language character recognition: Nasta&#39;liq vs Naskh analysis, Computer and Information Technology (WCCIT), 2013 World Congress on, 1-7<br /> 14. SaeedaNaz, Khizar Hayat, Muhammad Imran Razzak, Muhammad Waqas Anwar, Habib Akbar, Arabic script based character segmentation: A review, Computer and Information Technology (WCCIT), 2013 World Congress on, 1-6<br /> Book Chapter:<br /> 2019<br /> 1. Sana Saeed, Saeeda Naz, Muhammad Imran Razzak, &acirc;&euro;&oelig;An Application of Deep Learning in Character Recognition: An Overview,&acirc;&euro; Handbook of Deep Learning Applications, 53-81, 2019.<br /> 2018<br /> 2. Sed Hamad Shirai, Saeeda Naz, Muhammad Imran Razzak, Ahmad Zaib, &acirc;&euro;&oelig;Automated Pathology Image Analysis&acirc;&euro;&oelig; Automated Pathology Image Analysis&acirc;&euro; , Soft Computing Based Medical Image Analysis , Pages 13-29, 2018.<br /> 3. Saad Bin Ahamd, Saeeda Naz, Muhammad Imran Razzak, Rubiya Yosuf, &acirc;&euro;&oelig;Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids,&acirc;&euro; Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science, vol 11301. Springer<br /> <br /> 2017&nbsp;&nbsp;<br /> 4. Muhammad Imran Razzak, Saeeda Naz, Ahmad Zaib, Deep Learning for Medical Imaging: Deep Learning for Medical Image Processing: Overview, Challenges and the Future Classification in&nbsp; BioApps par of Springer&nbsp; Lecture Notes in Computational Vision and Biomechanics book series (LNCVB): volume 26, Pages 323-350,&nbsp; 2017.<br /> 2016<br /> 5. Saad Bin Ahmad, Saeeda Naz, M Imran Razzak, Balinese Character Recognition Using Bidirectional LSTM Classifier, LEEE, 2016.<br /> 2015<br /> 6. Syed H Shiarzi, Arif Iqbal Umar, NuhmanulHaq, SaeedaNaz, M Imran Razzak &acirc;&euro;&oelig;Accurate Microscopic Red Blood Cell Image Enhancement and Segmentation&acirc;&euro;, Bioinformatics and Biomedical Engineering 9043, 183-192, 2015. (LNCS)<br /> 2014<br /> 7. Saeeda Naz, MI Razzak, K Hayat, MW Anwar, SZ Khan, &acirc;&euro;&oelig;Challenges in Baseline Detection of Arabic Script Based Languages&acirc;&euro;, Intelligent Systems for Science and Information, 181-196, 2014. (LNIS)<br /> Submitted or under process:<br /> The following articles are submitted and few are under process to complete.<br /> Book&nbsp;<br /> 1. Arabic Cursive Script based Character Recognition, (Under process)<br /> Journal<br /> 1. Survey on Cursive Script based Text Recognition-Arabic Family. (under process)<br /> 2. Comparative analysis of brain tumor segmentation . (under process)<br /> 3. Signature verification using machine learning . (under process)<br /> 4. Personality detection using machine learning. (under process)<br /> Conference<br /> 5. Saad Bin Ahmed, Saeeda NAz, MI Razzak, Rubiyah Yusof, Transfer Learning for Urdu Nastal&acirc;&euro;&trade;iq Handwritten Text by Tesseract based LSTM Recognition System . (under process)<br /> <br /> </p></p>