Talha Meraj
Ph.D Scholar, Atlantic Technology University, Sligo, Ireland
talha.meraj [AT] atu.ie
Bio
I am a Ph.D. scholar at Atlantic Technological University, Sligo, Ireland, under the supervision of Dr. Saritha Unnikrishnan. My research focuses on 'Generative AI for Non-Invasive MRI Enhancement in Brain Tumor Diagnosis. "Before joining ATU, I worked as a Research Associate at the IML Lab, Information Technology University (ITU), Lahore, Pakistan, on a Google-funded medical imaging project, mentored by Dr. Waqas Sultani and Dr. Mohsen Ali. While working at ITU, my research focused on developing tools for analyzing peripheral blood smear films to enhance automated WBC cell counting with essential explanations, culminating in an oral invited paper at MICCAI 2024 [ArXiv'24]. In addition to this work, I am an accomplished researcher in deep learning and medical imaging, with over five years of research experience and 23+ publications in top-tier conferences and journals, including MICCAI 2024. My expertise spans machine learning, computer vision, and medical image analysis. Beyond research, I serve as an Associate Lecturer and Lab Demonstrator at ATU, Sligo. Additionally, I actively review manuscripts for several leading medical imaging and computer vision journals and conferences.
Reviewer
Publications
Most recent publications on Google Scholar.
‡ indicates equal contribution.
A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability
Abdul Rehman, Talha Meraj, Aiman Mahmood Minhas, Ayisha Imran, Mohsen Ali, and Waqas Sultani
Arxiv'24: arXiv preprint. 2024.
Computer vision-based plants phenotyping: A comprehensive survey
Talha Meraj, MI Sharif, M Raza, A Alabrah, S Kadry, AH Gandomi
IScience. 2024.
Advancing White Blood Cell Detection: A Multi-Domain Dataset for Morphological Analysis and Addressing Sparse Annotation Challenges
A Rehman, Talha Meraj, AM Minhas, A Imran, M Ali, W Sultani
bioRxiv. 2024.
Discourse analysis based credibility checks to online reviews using deep learning based discourse markers
HM Alawadh, A Alabrah, Talha Meraj, HT Rauf
Computer Speech & Language. 2023.
Attention-enriched mini-Bert fake news analyzer using the Arabic language
HM Alawadh, A Alabrah, Talha Meraj, HT Rauf
Future Internet . 2023.
English language learning via YouTube: An NLP-based analysis of users’ comments
HM Alawadh, A Alabrah, Talha Meraj, HT Rauf
Computers. 2023.
Semantic features-based discourse analysis using deceptive and real text reviews
HM Alawadh, A Alabrah, Talha Meraj, HT Rauf
Information. 2023.
Camouflage object segmentation using an optimized deep-learning approach
M Kamran, SU Rehman, Talha Meraj, KA Alnowibet, HT Rauf
Electronics. 2022.
A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks
S Lu, K Huang, Talha Meraj, HT Rauf
PeerJ Computer Science. 2022.
Gulf countries citizens acceptance of COVID-19 vaccines—A machine learning approach
A Alabrah, HM Alawadh, OD Okon, Talha Meraj, HT Rauf
Mathematics. 2022.
Guava disease detection using deep convolutional neural networks: A case study of guava plants
AM Mostafa, SA Kumar, Talha Meraj, HT Rauf, AA Alnuaim, MA Alkhayyal
Applied Sciences. 2021.
A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data
Talha Meraj, Wael Alosaimi, Bader Alouffi, Hafiz Tayyab Rauf, Swarn Avinash Kumar, Robertas Damaševičius, Hashem Alyami
PeerJ Computer Science. 2021.
Lung nodules detection using semantic segmentation and classification with optimal features
Talha Meraj, Hafiz Tayyab Rauf, Saliha Zahoor, Arslan Hassan, M. IkramUllah Lali, Liaqat Ali, Syed Ahmad Chan Bukhari & Umar Shoaib
Neural Computing and applications. 2020.
An Efficient Text-Mining Framework of Automatic Essay Grading Using Discourse Macrostructural and Statistical Lexical Features
HM Alawadh, Talha Meraj, L Aldosari, H Tayyab Rauf
SAGE Open. 2024.
A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability
Abdul Rehman, Talha Meraj, Aiman Mahmood Minhas, Ayisha Imran, Mohsen Ali, and Waqas Sultani
Arxiv'24: arXiv preprint. 2024.
Computer vision-based plants phenotyping: A comprehensive survey
Talha Meraj, MI Sharif, M Raza, A Alabrah, S Kadry, AH Gandomi
IScience. 2024.
Advancing White Blood Cell Detection: A Multi-Domain Dataset for Morphological Analysis and Addressing Sparse Annotation Challenges
A Rehman, Talha Meraj, AM Minhas, A Imran, M Ali, W Sultani
bioRxiv. 2024.
Epileptic patient activity recognition system using extreme learning machine method
U Ayman, MS Zia, OD Okon, N Rehman, Talha Meraj, AE Ragab, HT Rauf
Biomedicines. 2023.
Discourse analysis based credibility checks to online reviews using deep learning based discourse markers
HM Alawadh, A Alabrah, Talha Meraj, HT Rauf
Computer Speech & Language. 2023.
Attention-enriched mini-Bert fake news analyzer using the Arabic language
HM Alawadh, A Alabrah, Talha Meraj, HT Rauf
Future Internet . 2023.
English language learning via YouTube: An NLP-based analysis of users’ comments
HM Alawadh, A Alabrah, Talha Meraj, HT Rauf
Computers. 2023.
Semantic features-based discourse analysis using deceptive and real text reviews
HM Alawadh, A Alabrah, Talha Meraj, HT Rauf
Information. 2023.
A minority class balanced approach using the DCNN-LSTM method to detect human wrist fracture
T Rashid, MS Zia, Talha Meraj, HT Rauf, S Kadry
Life. 2023.
A player-specific framework for cricket highlights generation using deep convolutional neural networks
R Mahum, A Irtaza, SU Rehman, Talha Meraj, HT Rauf
Electronics. 2022.
Camouflage object segmentation using an optimized deep-learning approach
M Kamran, SU Rehman, Talha Meraj, KA Alnowibet, HT Rauf
Electronics. 2022.
AI-driven deep and handcrafted features selection approach for Covid-19 and chest related diseases identification
S Albahli, Talha Meraj, C Chakraborty, HT Rauf
Multimedia Tools and Applications. 2022.
A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks
S Lu, K Huang, Talha Meraj, HT Rauf
PeerJ Computer Science. 2022.
A novel text2IMG mechanism of credit card fraud detection: A deep learning approach
Abdullah Alharbi, Majid Alshammari, Ofonime Dominic Okon, Amerah Alabrah, Hafiz Tayyab Rauf, Hashem Alyami, Talha Meraj
Electronics. 2022.
Gulf countries citizens acceptance of COVID-19 vaccines—A machine learning approach
A Alabrah, HM Alawadh, OD Okon, Talha Meraj, HT Rauf
Mathematics. 2022.
A lightweight approach for skin lesion detection through optimal features fusion
Khadija Manzoor, Fiaz Majeed, Ansar Siddique, Talha Meraj, Hafiz Tayyab Rauf, Mohammed A El-Meligy, Mohamed Sharaf, AEEA Elgawad
Comput. Mater. Contin. 2022.
Guava disease detection using deep convolutional neural networks: A case study of guava plants
AM Mostafa, SA Kumar, Talha Meraj, HT Rauf, AA Alnuaim, MA Alkhayyal
Applied Sciences. 2021.
A novel hybrid approach based on deep CNN to detect glaucoma using fundus imaging
R Mahum, SU Rehman, OD Okon, A Alabrah, Talha Meraj, HT Rauf
Electronics. 2021.
A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data
Talha Meraj, Wael Alosaimi, Bader Alouffi, Hafiz Tayyab Rauf, Swarn Avinash Kumar, Robertas Damaševičius, Hashem Alyami
PeerJ Computer Science. 2021.
A self-activated cnn approach for multi-class chest-related COVID-19 detection
Najam-ur Rehman, Muhammad Sultan Zia, Talha Meraj, Hafiz Tayyab Rauf, Robertas Damaševičius, Ahmed M El-Sherbeeny, Mohammed A El-Meligy
Applied Sciences. 2021.
A novel hybrid approach based on deep cnn features to detect knee osteoarthritis
Rabbia Mahum, Saeed Ur Rehman, Talha Meraj, Hafiz Tayyab Rauf, Aun Irtaza, Ahmed M El-Sherbeeny, Mohammed A El-Meligy
Sensors. 2021.
Adversarial attack and defence through adversarial training and feature fusion for diabetic retinopathy recognition
Sheeba Lal, Saeed Ur Rehman, Jamal Hussain Shah, Talha Meraj, Hafiz Tayyab Rauf, Robertas Damaševičius, Mazin Abed Mohammed, Karrar Hameed Abdulkareem
Sensors. 2021.
Lung nodules detection using semantic segmentation and classification with optimal features
Talha Meraj, Hafiz Tayyab Rauf, Saliha Zahoor, Arslan Hassan, M. IkramUllah Lali, Liaqat Ali, Syed Ahmad Chan Bukhari & Umar Shoaib
Neural Computing and applications. 2020.
Vitæ
Full Resume in PDF.
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Atlantic Technological University, Sligo, Ireland Sep 2024 - PresentPh.D. Student
Computing, Department of Design & Engineering -
Information Technology University, Lahore Oct 23- August 24Research Associate
Computer Vision and Medical Imaging -
COMSATS University Islamabad, Wah Campus 2020 - 2022Masters Student
Computer Science -
University of Gujrat, Gujrat, Pakistan 2015 - 2019Bachelors Student
Computer Science -
Punjab College, Gujranwala, Pakistan 2013 - 2015Intermediate Student
Pre-Engineering -
Sirat-ul-jannah divisional School, Pakistan 2011 - 2013Matric Student
Science
First Class Honours
Website Design
Since I made this website, many people have found this Jekyll template useful [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44 ]. You can find all the code needed to build your website in this GitHub repo. Feel free to use it.If you end up using it, please link to here and drop me an email. I'm always happy to see people using it.