Publications
International Journal Selected Publications
Junaid Rashid, Jungeun Kim, Amir Hussain, Usman Naseem, "WETM: A word embedding-based topic model with modified collapsed Gibbs sampling for short text", Pattern Recognition Letters, Volume 172, pp., 158-164, 2023. (Impact Factor: 5.1, JCR Q2)
Saba Batool, Junaid Rashid*, Muhammad Wasif Nisar, Jungeun Kim, Hyuk-Yoon Kwon, Amir Hussain, “Educational Data Mining to Predict Students' Academic Performance: A Survey Study”, Education and Information Technologies, Vol. 28, No. 1, Jan. 2023., (Impact Factor: 5.5, JCR Q1)
Shweta Lamba, Vinay Kukreja, Junaid Rashid*, Thippa Reddy Gadekallu, Jungeun Kim, Anupam Baliyan, Deepali Gupta, and Shilpa Saini. "A Novel Fine Tuned Deep Learning Based Multi-Class Classifier for Severity of Paddy Leaf Diseases." Frontiers in Plant Science 14: 1234067, 2023 (Impact Factor: 5.6, JCR Q1)
S Aggarwal, S Juneja, Junaid Rashid*, D Gupta, S Gupta, and J Kim, "Protein Subcellular Localization Prediction by Concatenation of Convolutional Blocks for Deep Features Extraction From Microscopic Images", IEEE Access, Vol. 11, Jan. 2023. (SCIE, IF: 3.476, Q2)
Junaid Rashid, Jungeun Kim, Amir Hussain, Usman Naseem, and Sapna Juneja, "A Novel Multiple Kernel Fuzzy Topic Modeling Technique for Biomedical Data", BMC Bioinformatics, Vol.23, No.275, 2022 ( Impact factor: 3.307)
Junaid Rashid, Saba Batool, Jungeun Kim, Muhammad Wasif Nisar, Amir Hussain, Sapna Juneja, Riti Kushwaha "An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction", Frontiers in Public Health, Vol. 10, pp.,1-20, 2022 (Impact Factor:6.461, JCR Q1)
Marriam Nawaz, Tahira Nazir, Ali Javed, Momina Masood, Junaid Rashid*, Jungeun Kim, Amir Hussain, “A robust deep learning approach for tomato plant leaf disease localization and classification”, Scientific Reports, Vol.12, 2022, (Impact Factor: 4.996, JCR Q2)
Junaid Rashid, Samina Kanwal, Jungeun Kim, Muhammad Wasif Nisar, Usman Naseem, Amir Hussain, "Heart Disease Diagnosis Using the Brute Force Algorithm and Machine Learning Techniques", CMC-Computers Materials & Continua, Vol. 72, No. 2, Mar. 2022, pp.3195-3211 (Impact Factor:3.860)
Usman Naseem, Shaina Raza, Junaid Rashid*, Jungeun Kim, Md Rafiqul Islam , Atiqa Qazi , Andrew Levulva, Sentiment Analysis of COVID-19 Tweets Using Machine Learning, Journal of Healthcare Engineering, DOI:10.1109/ACCESS.2022.3174599, 2022 (Impact Factor: 3.822)
Junaid Rashid, Sumera Kanwal, Muhammad Wasif Nisar, Jungeun Kim, and Amir Hussain, “An Artificial Neural Network-Based Model for Effective Software Development Effort Estimation”, Computer Systems Science and Engineering, vol. 44, no.2, pp. 1309–1324, 2022, (Impact Factor: 4.397, JCR Q1)
Usman Naseem, Junaid Rashid*, Liaqat Ali, Jungeun Kim, Qazi Emad Ul Haq, Mazhar Javed Awan, Muhammad Imran, "An Automatic Detection of Breast Cancer Diagnosis and Prognosis based on Machine Learning Using Ensemble of Classifiers", Vol.10, pp.78242-78252,2022 (Impact Factor: 3.476)
Nasreen Anjum, Mohammad Alibakhshikenari, Junaid Rashid, Fouzia Jabeen, Amna Asif, Ehab Mahmoud Mohamed, Francisco Falcone, “IoT-Based COVID-19 Diagnosing and Monitoring Systems: A Survey”, DOI: 10.1109/ACCESS.2022.3197164, 2022, IEEE Access (SCIE, Impact Factor: 3.476, JCR Q2)
Sandhya Sharma, Sheifali Gupta, Deepali Gupta, Junaid Rashid*, Sapna Juneja, Jungeun Kim, Mahmoud M Elarabawy, “Performance Evaluation of the Deep Learning based Convolutional Neural Network Approach for the Recognition of Chest X-ray Images”, Frontiers in Oncology, section Cancer Imaging and Image-directed Interventions, to appear, 2022, DOI: 10.3389/fonc.2022.932496 (Impact Factor: 5.738)
Prabhdeep Singh, Rajbir Kaur, Junaid Rashid*, Sapna Juneja, Gaurav Dhiman, Jungeun Kim, Mariya Ouaissa, “A Fog-Cluster Based Load Balancing Technique”, Sustainability, to appear, (Impact Factor=3.889)
P. Arunachalam, N. Janakiraman, Junaid Rashid, Jungeun Kim, Sovan Samanta, Usman Naseem, Arun Kumar Sivaraman, and A. Balasundaram, Effective Classification of Synovial Sarcoma Cancer with an Integrated Analysis of Structure Features and Support Vectors, CMC-Computers Materials & Continua, Vol. 72, No. 2, Mar. 2022. (Impact Factor:3.860)
Dhanalakshmi Ra, Junaid Rashid*, Jungeun Kim, Arun Kumar Sivaramand, Usman Naseem , Rajiv Vincent, “A new method for centrality measurement using Generalized Fuzzy Graphs”, Discrete Dynamics in Nature and Society, Vol. 2022, 2022, DOI: https://doi.org/10.1155/2022/4704409 (Impact Factor: 1.457)
Sarah El Himer , Mariya Ouaissa , Mariyam Ouaissa , Junaid Rashid*, Jungeun Kim, “An IoT based on Smart CPV Units Composed of a Hyperbolic Optical Element”, IEEE Access, 2022, DOI:https://doi.org/10.1109/ACCESS.2022.3186694, (Impact Factor: 3.476)
Muhammad Aseer Khan, Dur-e-Zehra Baig, Bilal Ashraf, Husan Ali, Junaid Rashid*, Jungeun Kim, "Dynamic Modeling of a Nonlinear Two-Wheeled Robot Using Data-Driven Approach", Processes, Vol. 10, No.3, pp.1-9, 2022 (Impact Factor: 3.352).
Mehvish Fatima, Wasif Nisar, Junaid Rashid*, Jungeun Kim, Muhammad Kamran, Amir Hussain, "A Novel Fingerprinting Technique for Data Storing and Sharing through Clouds", Sensors, Vol.21, No.22, pp.1-27,2021(Impact Factor: 3.847, JCR Q1).
T. Nazir, M. Nawaz, Junaid Rashid*, R. Mahum, M. Masood, A. Mehmood, F. Ali, J. Kim, Hyuk-Yoon Kwon*, and A. Hussain, "Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model", Sensors, Vol. 21, No. 16, Article 5283, pp. 1-18, Aug. 2021 (Impact Factor: 3.847, JCR Q1).
Momina Masood, Tahira Nazir, Marriam Nawaz, Awais Mehmood, Junaid Rashid*, Hyuk-Yoon Kwon, Toqeer Mahmood, Amir Hussain, “A Novel Deep Learning Method for Recognition and Classification of Brain Tumor from MRI images”, Diagnostics, Vol.11, No.5, 1-19, 2021 (Impact Factor: 3.992, Ranking Q1)
Mary Aqsa, Junaid Rashid*, Muhammad Wasif Nisar, Toqeer Mahmood, Hyuk-Yoon Kwon, Amir Hussain, “BitmapAligner: Bit-Parallelism String Matching with MapReduce and Hadoop”, CMC-Computers, Materials & Continua, 2021, Vol. 68, No. 3, pp. 3931-3946, 2021 (Impact Factor: 3.860, Ranking Q1)
Toqeer Mahmood, Mohsin Shah, Junaid Rashid, Muhammad Wasif Nisar, Muhammad Asif,”A Passive technique for detecting copy-move forgeries by image feature matching”, Multimedia Tools and Applications, 79, 31759–31782,2020 (Impact Factor: 2.577, Ranking Q1)
Junaid Rashid, Syed Muhammad Adnan Shah, Aun Irtaza,Toqeer Mahmmod, Muhammad Wasif Nisar, Muhammad Shafiq, Akber Gardezi , "Topic Modeling Technique for Text Mining Over Biomedical Text Corpora through Hybrid Inverse Documents Frequency and Fuzzy K-Means Clustering", IEEE Access , vol. 7, pp. 146070-146080, 2019, (Impact Factor: 3.822, Ranking Q1)
Junaid Rashid, Syed Muhammad Adnan Shah, Aun Irtaza,"Fuzzy topic modeling approach for text mining over short text ", Information Processing and Management, Volume 56, Issue 6, Pages 1-19, 2019, (Impact factor: 7.466, Ranking Q1)
Junaid Rashid, Syed Muhammad Adnan Shah, Aun Irtaza," A Novel Fuzzy k-means Latent Semantic Analysis (FKLSA) Approach for Topic Modeling over Medical and Health Text Corpora”, Journal of intelligent and Fuzzy Systems, Vol.37, No.5 pages 6573-6588, 2019, (Impact factor: 1.737, Ranking Q2)
Junaid Rashid, Syed Muhammad Adnan Shah, Aun Irtaza," An Efficient Topic Modeling Approach for Text Mining and Information Retrieval through K-Means Clustering”, Mehran University Research Journal of Engineering & Technology, Vol 39, No.1, pp 213-222, 2020(Impact Factor: 0.6)
Junaid Rashid, et al., "A Study on Software Metrics and its Impact on Software Quality”, Volume 24, No 1, pages 69-82, 2019, Technical Journal UET Taxila, (HEC Recognized, Y category)
Junaid Rashid, Muhammad Wasif Nisar, Toqeer Mahmood, Amjad Rehman, and Syed Yasser Arafat, “A Study on Software Development Cost Estimation Techniques and Models, Mehran University Research Journal of Engineering & Technology, Vol 39, No.2, pp 413-431, 2020(HEC Recognized, X Category, ESCI)
M. Zeeshan Zafar, Syed M. Adnan, Wakeel Ahmad, Javeria Ikram, Junaid Rashid, “Brain tumor detection and classification using geometrical shapes as texture descriptors “, Volume 24, No 1, pages 83-89, 2019, Technical Journal UET Taxila, (HEC Recognized, Y category)
Tehreem Fatima, Ume Habiba, Muhammad Ilyas, Syed M Adnan, Wakeel Ahmad, Junaid Rashid, "Matching Based Algorithm for Semantic Search and its Implementation", Technical Journal, UET Taxila, Volume 23, No 4, 2018 (HEC Recognized, Y category)
Zak-ud-Din, Syed Muhammad Adnan, Waqeel Ahmad, Sumair Aziz, Junaid Rashid, Waqar Ismail, Javed Iqbal, “Classification of Disease in Tomato Plants' Leaf Using Image Segmentation and SVM”, Technical Journal, UET Taxila, Vol 23, No.2,2018 (HEC Recognized, Y category)
Junaid Rashid, Muhammad Wasif Nisar,"A Study on Semantic Searching, Semantic Search Engines and Technologies Used for Semantic Search Engines", International Journal of Information Technology and Computer Science(IJITCS), Vol.8, No.10, pp.82-89, 2016.
Junaid Rashid, Waqar Mehmood, and Muhammad Wasif Nisar. "A Survey of Model Comparison Strategies and Techniques in Model Driven Engineering." International Journal of Software Engineering and Technologies (IJSET) 1, no. 3 (2016): 165-176.
Junaid Rashid, Muhammad Wasif Nisar “How to improve a Software Quality Assurance in Software Development-A Survey”. International Journal of Computer Science and Information Security Vol.14, No.8, pp.99-108,2016 (ESCI)
Muhammad Kamran, Junaid Rashid, M.W.Nisar “Android Fragmentation Classification, Causes, Problems and Solutions”. International Journal of Computer Science and Information Security Vol.14, No.9,2016,992-999 (ESCI)
Musawwer Khan, Junaid Rashid, M.W.Nisar “A CMMI Complaint Requirement Development Life Cycle”. International Journal of Computer Science and Information Security Vol.14, No.9,2016,1000-1009 (ISI index)
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International Conference Selected Publications
Junaid Rashid, Junguen Kim, Usman Naseem, "Coherent Topic Modeling for Creative Multimodal Data on Social Media", In Proc. The Web Conference 2023 (TheWebConf), 2023 (CORE A*)
Junaid Rashid, Junguen Kim, Usman Naseem, "Incorporating Embedding to Topic Modeling for More Effective Short Text Analysis", In Proc. The Web Conference 2023 (TheWebConf), Poster, 2023 (CORE A*)
Usman Naseem, Surendrabikram Thapa, Qi Zhang, Junaid Rashid , Liang Hu, Mehwish Nasim, "Temporal Tides of Emotional Resonance: A Novel Approach toIdentify Mental Health on Social Media", AACL 2023, SocialNLP Workshop, 2023
Junaid Rashid, Junguen Kim, Usman Naseem, Amir Hussain, “A DistilBERTopic Model for Short Text Documents”, The 20th Annual Workshop of the Australasian Language Technology Association, Australia, ALTA 2022, 14-16, December 2022 (CORE B)
Usman Naseem, Ajay Bandi, Shania Raza, Junaid Rashid, Bharathi Raja, “Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation”, ACL 2022, In Proceedings of the 21st Workshop on Biomedical Language Processing (BioNLP), Dublin, Ireland, pp.110-115, 2022 (Workshop in Core A*)
Muhammad Nadeem, Junaid Rashid, Hyeonjoon Moon, and Arailym Dosset. "Machine Learning for Mental Health: A Systematic Study of Seven Approaches for Detecting Mental Disorders." In 2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC), pp. 1-6. IEEE, 2023.
Samina Kanwal, Junaid Rashid*, Nasreen Anjum, Jungeun Kim, Sapna Juneja, Muhammad Wasif Nisar, “Feature Selection for Lung and Breast Cancer Disease Prediction Using Machine Learning Techniques”, 1st IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA-2022), 15-16 October, pp.163-168, 2022.
Samina Kanwal, Junaid Rashid*, Jungeun Kim, Muhammad Wasif Nisar, Amir Hussain, Saba Batool, Rabia Kanwal, "An Attribute Weight Estimation Using Particle Swarm Optimization and Machine Learning Approaches for Customer Churn Prediction", 2021 International Conference on Innovative Computing (ICIC), 2022
Saba Naseem, Toqeer Mahmood, Muhammad Asif, Junaid Rashid, Muhammad Umair, Mohsin Shah, "Survey on Sentiment Analysis of User Reviews", 2021 International Conference on Innovative Computing (ICIC), 2022
Saba Batool, Junaid Rashid*, Muhammad Wasif Nisar, Jungeun Kim, Toqeer Mahmood, Amir Hussain, "A Random Forest Students’ Performance Prediction (RFSPP) Model Based on Students’ Demographic Features", 2021 Mohammad Ali Jinnah University International Conference on Computing (MAJICC), 2021
Samina Kanwal, Junaid Rashid*, Muhammad Wasif Nisar, Jungeun Kim, Amir Hussain, "An Effective Classification Algorithm for Heart Disease Prediction with Genetic Algorithm for Feature Selection",2021 Mohammad Ali Jinnah University International Conference on Computing (MAJICC), 2021
Rehan Ashraf, Muhammad Sheraz Mehmood, Toqeer Mahmood, Junaid Rashid, Muhammad Wasif Nisar, Mohsin Shah,” An Efficient Forensic Approach for Copy-move Forgery Detection via Discrete Wavelet Transform”, 2020 International Conference on Cyber Warfare and Security (ICCWS),Islamabad,Pakistan, 2020,pp.1-6,doi:10.1109/ICCWS48432.2020.9292373
Tahira Nazir, Aun Irtaza, Junaid Rashid*, Marriam Nawaz, Toqeer Mahmood, "Diabetic Retinopathy Lesions Detection using Faster-RCNN from retinal images," 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH), Riyadh, 2020, pp. 38-42, doi: 10.1109/SMART-TECH49988.2020.00025.
Junaid Rashid, Toqeer Mahmood, Muhammad Wasif Nisar, Tahira Nazir, "Phishing Detection Using Machine Learning Technique," 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH), Riyadh, 2020, pp. 43-46
Hamza Iqbal, Ehtasham Azhar, Samira Kanwal, Junaid Rashid* and Tahira Nazir, "Prevention of Beacons Collision in IEEE 802.15.6 under Coexistence," 2020 International Symposium on Recent Advances in Electrical Engineering & Computer Sciences (RAEE & CS), Islamabad, Pakistan, 2020, pp. 1-5, doi: 10.1109/RAEECS50817.2020.9265728.
Junaid Rashid*, Syed M Adnan, M Wasif Nisar,Aun Irtaza, Syed Yasser Arrafat,M Javed Iqbal "Advertiser's perception of Internet marketing for small and medium enterprises in Pakistan," 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), Sukkur, 2018, pp. 1-7, doi: 10.1109/ICOMET.2018.8346362.
Tahira Nazir, Ali Javed, Aun Irtaza, Junaid Rashid*, Samira Kanwal, “Diabetic Retinopathy Detection based on Hybrid Feature Extraction and SVM”, 2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS), Karachi, Pakistan, 2019, pp. 1-6.
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