About Us

Prof. Ali Daud is a Full Professor at Faculty of Resilience, Rabdan Academy, Abu Dhabi, United Arab Emirates. He has completed his PhD Degree in Computer Science and Technology on full scholarship from Tsinghua University, Beijing, China in July 2010, which is ranked among top 20 Universities in the World QS and THE Rankings.

He is ranked among Top 2% Highly Cited Scientists of Computer Science in the World "Report prepared by Professor John P.A. Ioannidis and his team at Stanford University, USA, for the years 2020, 2021, and 2022". He has 13+ years of Post-PhD experience of teaching, academic committees and supervising at BS, MS and PhD levels. He believes in publishable and applicable research. He has published over hundred good papers and also have taken part in many research projects, as well have acquired research funding's for several projects. He has proven and extensive experience in Artificial Intelligence (Machine Learning, Deep Learning, Natural Language Processing), Data Science, Data Mining, Internet of Things.

In summary, he believes that teaching, research, and industry collaborations are non-separable parts of an academic career. He is enthusiastic about advancing the intellectual development of his students to its best and use research for solving real life problems through industry collaborations. He loves to work in a team to learn and grow faster. 

• PhD in Computer Science and Technology from Tsinghua University, Beijing, China  

• Computer Science
• Artificial Intelligence
• Data Science
• Data Management
•  Internet of Things

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Natural Language Processing
• Data Science
• Data Mining
• Internet of Things

• Ali Daud, Sehrish Ghaffar, Tehmina Amjad. Citation Count is not Enough: Citation’s Context-based Scientific Impact Evaluation. IEEE Transactions on Computational Social Systems (TCSS), 2023. [IF: 4.74]
• Ali Daud, Naveed ul Islam, Xin Li, Imran Razzak, Malik Khizar Hayat. Identifying Rising Stars via Supervised Machine Learning. IEEE Transactions on Computational Social Systems, 2023. [IF: 4.74]
• Afzal Badshah, Anwar Ghani, Ali Daud, Ateeqa Jalal, Muhammad Bilal, Jon Crowcroft. Towards Smart Education through Internet of Things: A Survey. ACM Computing Surveys, 2023. [IF: 14.32, Accepted]
• Muhammad Sajid Qureshi, Ali Daud, Malik Khizar Hayat, Min Song, Yejin Park. Heading Towards Sub-Discipline Rankings for Higher Education Institutions. IEEE Transactions on Computational Social Systems, 2023. [IF: 4.74]
• Wahab Khan, Ali Daud, Khairullah Khan, Shakoor Muhammad, Rafiul Haq. Exploring the frontiers of deep learning and natural language processing: A comprehensive overview of key challenges and emerging trends. Natural Language Processing Journal, 2023.
• Tehmina Amjad, Zainab Shaheen, Ali Daud. Advanced Learning Analytics: Aspect based Course Feedback Analysis of MOOC Forums to Facilitate Instructors. IEEE Transactions on Computational Social Systems, 2023. [IF: 4.74]
• Afzal Badshah, Anwar Ghani, Isma Farah Siddiqui, Ali Daud, Muhammad Zubair, Zafar Mehmood. An Orchestrating Model to Improve Utilization of Infrastructure as a Service Environment for Sustainable Revenue. Sustainable Energy Technologies and Assessments, 57: 103228, 2023. [IF: 8.0]
• Farman Ali, Adnan Khan, Jamal Uddin, Ashfaq Ahmad, Omar Alghushairy, Ameen Banjar, Ali Daud. Prediction of Antifreeze Proteins using Machine Learning, Scientific Reports, 12(1): 20672, 2023. [IF: 4.99]
• Adnan Khan, Jamal Uddin, Farman Ali, Ameen Banjar, Ali Daud. Comparative analysis of the existing methods for prediction of Antifreeze Proteins. Chemometrics and Intelligent Laboratory Systems, 232: 104729, 2023. [IF: 3.9]
• Saba Shaukat, Asma Shaukat, Khurram Shahzad, Ali Daud. Using TREC for Developing Semantic Information Retrieval Benchmark for Urdu. Information Processing & Management, 59 (3): 102939, 2022. [IF: 8.6]
• Riad Alharbey, Jong In Kim, Ali Daud, Min Song, Abdulrahman A. Alshdadi, Malik Khizar Hayat. Indexing Important Drugs from Medical Literature, Scientometrics, 127(5): 2661-2681, 2022. [IF: 3.80]
• Tehmina Amjad, Nafeesa Shahid, Ali Daud, Asma Khatoon. Citation burst prediction in a bibliometric network, Scientometrics, 127(5): 2773-2790, 2022. [IF: 3.80]
• Farman Ali, Harish Kumar, Shruti Patil, Ketan Kotecha, Ameen Banjar, Ali Daud. Target-DBPPred: An Intelligent Model for Prediction of DNA-binding Proteins using Discrete Wavelet Transform based Compression and Light eXtreme Gradient Boosting. Computers in Biology and Medicine, 145: 105533, 2022. [IF: 7.7]
• Farman Ali, Harish Kumar, Shruti Patil, Ashfaq Ahmad, Amal Babour, Ali Daud. Deep-GHBP: Improving Prediction of Growth Hormone-binding Proteins using Deep Learning Model. Biomedical Signal Processing and Control, 78: 103856, 2022. [IF: 5.1]
• Farman Ali, Harish Kumar, Shruti Patil, Ameen Banjar, Ali Daud. DBP-DeepCNN: Prediction of DNA-binding Proteins using Wavelet-based Denoising and Deep Learning. Chemometrics and Intelligent Laboratory Systems, 229: 104639, 2022. [IF: 3.9]
• Ameen Banjar, Farman Ali, Omar Alghushairy, Ali Daud. iDBP-PBMD: A machine learning model for detection of DNA-binding proteins by extending compression techniques into evolutionary profile. Chemometrics and Intelligent Laboratory Systems, 231: 104697, 2022. [IF: 3.9]
• Afzal Badshah, Anwar Ghani, Ali Daud, Anthony Theodore Chronopoulos, Ateeqa Jalal. Revenue Maximization Approaches in IaaS Clouds: Research Challenges and Opportunities. Transactions on Emerging Telecommunications Technologies, 33(7): e4492, 2022. [IF: 3.31]
• Muhammad Shahzad Faisal, Arif Rizwan, Khalid Iqbal, Heba Fasihuddin, Ameen Banjar, Ali Daud. Prediction of Movie Quality via Adaptive Voting Classifier, IEEE Access, 10: 81581-81596, 2022. [IF: 3.5]
• Wahab Khan, Ali Daud, Khurram Shahzad, Tehmina Amjad, Ameen Reda Banjar, Heba Fasihuddin. Named Entity Recognition using Conditional Random Fields. Applied Sciences, 12(13): 6391, 2022. [IF: 2.84]
• Hussain Dawood, Ali Daud, Hassan Dawood, Marium Azhar. Reduction of random-valued impulse noise by using multi-structured textons, Multimedia Tool and Applications, 81(11): 15303-15331, 2022. [IF: 2.58]
• Ali Daud, Malik Khizar Hayat, Abdulrahman A. Alshdadi, Ameen Banjar, Wael Mansour Alharbi. Measuring the Impact of Co-author Count on Citation Count of Research Publications, COLLNET Journal of Scientometrics and Information Management, 2022. ESCI
• Ali Daud, Muhammad Hafeez Ullah, Ameen Reda Banjar, Abdulrahman A. Alshdadi. Ontological Modeling and Semantic Search in Quran. International Journal of Computer Science and Network Security, 2022. ESCI
• Abdulrahman A. Alshdadi, Malik Khizar Hayat, Ali Daud, Ameen Banjar, Hussain Dawood. Measuring the impact of COVID-19 surveillance variables over the international oil market. International Journal of Advanced and Applied Sciences, 9:1: 27-33, 2022. ESCI
• Ali Daud, Faizan Abbas, Tehmina Amjad, Abdulrahman A Alshdadi, Jalal S Alowibdi. Finding Rising Stars through Hot Topics Detection. Future Generation Computer Systems. 115: 798-813, 2020, 2021. [IF: 7.19]
• Zafar Mahmood, Ali Daud, Rabeeh Ayaz Abbasi. Using machine learning techniques for rising star prediction in basketball. Knowledge-Based Systems, 211: 106506, 2021. [IF:8.03]
• Abdulrahman A. Alshdadi, Ali Daud, Saqib Hussain, Ahmed A. Alghamdi. Blog Backlinks Malicious Domain Name Detection via Supervised Learning. International Journal on Semantic Web and Information Systems (IJSWIS), 17 (3): 1-17, 2021. [IF: 1.74]
• Jalal S. Alowibdi, Abdulrahman A. Alshdadi, Ali Daud, Mohamed M. Dessouky, Essa Ali Alhazmi. Coronavirus Pandemic (COVID-19): Emotional Toll Analysis on Twitter. International Journal on Semantic Web and Information Systems (IJSWIS), 17 (2): 1-21, 2021. [IF: 1.74]
• Imran Rasheed, Haider Banka, Hamaid M. Khan, Ali Daud. Building a text collection for Urdu information retrieval. Electronics and Telecommunications Research Institute (ETRI) Journal, 43(5): 856-868, 2021. [IF: 1.35] Corrigendum
• Muhammad Sajid Qureshi, Ali Daud. Fine-Grained Academic Rankings: Mapping Affiliation of the Influential Researchers with the Top Ranked HEIs. Scientometrics, 126(10): 8331-8361, 2021. [IF: 3.24]
• Muhammad Sajid Qureshi, Ali Daud, Malik Khizar Hayat, Tanvir Afzal. OpenRank–a novel approach to rank universities using objective and publicly verifiable data sources. Library Hi Tech, 2021. [IF: 2.36]
• Ameen Banjar, Zohair Ahmed, Ali Daud, Hussain Dawood, Rabeeh Abbasi. Aspect Based Sentiment Analysis for Polarity Estimation of Customer Reviews on Twitter. CMC-Computers, Materials & Continua, 67: 2203-2225, 2021. [IF: 4.89]
• Tehmina Amjad, Mehwish Sabir, Azra Majeed, Masooma Amjad, Ali Daud. Investigating the Citation Advantage of Author-Pays Charges Model in Computer Science Research: A Case Study of Elsevier and Springer, Library Hi Tech, 40(3): 685-703 ,2021. [IF: 2.36]
• Aqeel Feroz, Ali Daud, Tehmina Amjad, Malik Khizar Hayat. Group Anomaly Detection: Past Notions, Present Insights, and Future Prospects. SN Computer Science, 2021.
• Muhammad Shoaib, Ali Daud, Tehmina Amjad. Author name disambiguation in bibliographic databases: A survey. Researchpedia Journal of Computing, 2(1): 87-113, 2021.
• Tehmina Amjad, Ali Daud, Malik Khizar Hayat, Muhammad Tanvir Afzal, Hussain Dawood. Coronavirus Pandemic (COVID-19): A Survey of Analysis, Modeling and Recommendations. Researchpedia Journal of Computing, 2(1): 65-80, 2021.
• Ali Daud, Tehmina Amjad, Tayyaba Khaliq, Malik Khizar Hayat. All that Glitters is not Gold: Falsely Predicted Rising Stars, Researchpedia Journal of Computing, 2(1): 114-120, 2021.
• Ali Daud, Min Song, Malik Khizar Hayat, Tehmina Amjad, Rabeeh Ayaz Abbasi, Hassan Dawood, Anwar Ghani. Finding Rising Stars in Bibliometric Networks, Scientometrics, 124: 633-661, April, 2020. [IF:3.24]
• Tehmina Amjad, Yusra Rehmat, Ali Daud, Rabeeh Ayaz Abbasi. Scientific impact of an author and role of self-citations. Scientometrics, 122: 915-932, 2020. [IF: 3.24]
• Farah Haneef, Rabeeh Ayaz Abbasi, Muddassar Azam Sindhu, Akmal Saeed Khattak, Muhammad Nouman Noor, Naif Radi Aljohani, Ali Daud, Sachi Arafat. Using network science to understand the link between subjects and professions. Computers in Human Behavior, 106: 106228, 2020. [IF: 4.31]
• Hussain Dawood, Hassan Dawood, Guo Ping, Rashid Mehmood, Ali Daud, Abdullah Alamri, Jalal S Alowibdi. Probability weighted moments regularization based blind image De-blurring. Multimedia Tools and Applications, 9(7): 4483-4498, 2019. [IF: 2.76]
• Anwar Ghani, Afzal Badshah, Saeedullah Jan, Abdulrahman A Alshdadi, Ali Daud. Issues and challenges in Cloud Storage Architecture: A Survey. Researchpedia Journal of Computing, 1(1): 50-64, 2020. 
• Ali Daud, Tehmina Amjad, Muazzam Ahmed Siddiqui, Naif Radi Aljohani, Rabeeh Ayaz Abbasi, Muhammad Ahtisham Aslam. Correlational analysis of topic specificity and citations count of publication venues. Library Hi Tech, 37(1): 8-18, 2019. [IF: 1.26]
• Wahab Khan, Ali Daud, Fahad Alotaibi, Naif Aljohani, Sachi Arafat. Deep recurrent neural networks with word embeddings for Urdu named entity recognition. Electronics and Telecommunication Research Institute (ETRI) Journal, 42(1): 90-100, 2019. [IF: 0.86]
• Muhammad Shahzad Faisal, Ali Daud, Abubakr Usman Akram, Rabeeh Ayaz Abbasi, Naif Radi Aljohani, Irfan Mehmood. Expert Ranking for Online Rated Forums, Computers in Human Behavior, 100: 168-176, 2019. [IF: 4.31]
• Wahab Khan, Ali Daud, Jamal Abdul Nasir, Tehmina Amjad, Sachi Arafat, Naif Radi Aljohani, Fahd. S. Alotaibi. Urdu Part of Speech Tagging using Conditional Random Fields. Language Resources and Evaluation, 53, 331-362, 2019. [IF: 1.03]
• Naif Radi Aljohani, Ali Daud, Rabeeh Ayaz Abbasi, Jalal S. Alowibdi, Mohammad Basheri, Muhammad Ahtisham Aslam. An Integrated Framework for Course Adapted Student Learning Analytics Dashboard. Computers in Human Behaviour, 92: 679-690, 2019. [IF: 4.31]
• Naif Radi Aljohani, Rabeeh Ayaz Abbasi, Fahad Mohammed Bawakid, Farrukh Saleem, Zahid Ullah, Ali Daud, Muhammad Ahtisham Aslam, Jalal S Alowibdi, Saeed-Ul Hassan. Web Observatory Insights: Past, Current, and Future, International Journal on Semantic Web and Information Systems (IJSWIS), 15 (4): 52-68, 2019. [IF: 1.83]
• Muhammad Waqar, Nadeem Majeed, Hassan Dawood, Ali Daud, Naif Radi Aljohani. An Adaptive Doctor- Recommendation System. Behaviour & Information Technology, 38 (9), 959-973, 2019. [IF: 1.43]
• Zafar Saeed, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Abida Sadaf, Imran Razzak, Ali Daud, Naif Radi Aljohani, Guandong Xu. What’s Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter. Journal of Grid Computing, 17 (2): 279-312, 2019. [IF: 3.3]
• Malik Khizar Hayat, Ali Daud, Abdulrahman A Alshdadi, Ameen Banjar, Rabeeh Ayaz Abbasi, Yukun Bao, Hussain Dawood. Towards Deep Learning Prospects: Insights for Social Media Analytics. IEEE Access, 7: 36958-36979, 2019. [IF: 4.1]
• Wahab Khan, Ali Daud, Khairullah Khan, Jamal Abdul Nasir, Mohammed Basheri, Naif Aljohani, Fahd S. Alotaibi. Part of Speech Tagging in Urdu: Comparison of Machine and Deep Learning Approaches. IEEE Access, 7: 38918-38936, 2019. [IF: 4.1]
• Saba Mahmood, Anwar Ghani, Ali Daud, Shahaboddin Shamshirband. Reputation-Based Approach Toward Web Content Credibility Analysis. IEEE Access, 7: 139957-139969, 2019. [IF: 4.1]
• Tehmina Amjad, Ali Daud, Naif Radi Aljohani. Ranking Authors in Academic Social Networks. A Survey. Library and Hi Tech, 36 (1): 97-128, 2018. [IF: 0.76]
• Masood Isma, Yongli Wang, Ali Daud, Naif Aljohani, Hassan Dawood. Privacy Management of Patient Physiological Parameters. Telematics and Informatics, 35(4): 677-704, 2018. [IF: 3.79]
• Anwar Said, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Ali Daud, Naif Radi Aljohani. CC-GA: A Clustering Coefficient based Genetic Algorithm for Detecting Communities in Social Networks. Applied Soft Computing, 63:59-70, 2018. (IF: 3.45)
• Ali Daud, Jamal Ahmad Khan, Jamal Abdul Nasir, Naif Aljohani, Rabeeh Ayaz Abbasi, Jalal S. Alowibdi. Latent Dirichlet Allocation and POS Tags Based Method for External Plagiarism Detection. International Journal on Semantic Web and Information Systems (IJSWIS), 14(3): 53-69, 2018. (IF: 1.5)
• Abdullah Al-Barakati, Ali Daud. Venue-Influence Language Models for Expert Finding in Bibliometric Networks. International Journal on Semantic Web and Information Systems (IJSWIS), 14(3): 184-201, 2018. (IF: 1.5)
• Rabeeh Ayaz Abbasi, Onaiza Maqbool, Mubashar Mushtaq, Naif R. Aljohani, Ali Daud, Jalal S. Alowibdi, Basit Shahzad. Saving Lives Using Social Media: Analysis of the Role of Twitter for Personal Blood Donation Requests and Dissemination. Telematics and Informatics, 35(4): 892-912, 2018. (IF: 2.26)
• Ali Daud, Akbar Hussain, Rabeeh Ayaz Abbasi, Naif Radi Aljohani, Tehmina Amjad, Hassan Dawood. Region-Wise Ranking of Sports Players based on Link Fusions. In Proceedings of International Web Conference (WWW), 2018, pp. 259-266.
• Tehmina Amjad, Ali Daud, Min Song. Measuring the Impact of Topic Drift in Scholarly Networks. In Proceedings of International Web Conference (WWW), 2018, pp. 273-278.
• Haseeb Ahmad, Ali Daud, Licheng Wang, Ibrar Ahmad, Muhammad Hafeez, Yixian Yang. Quantifying Team Precedence in the Game of Cricket. Cluster Computing, 21(1): 523-537, 2018. (IF: 2.04)
• Isma Masood, Yongli Wang, Ali Daud, Naif Radi Aljohani, Hassan Dawood. Towards Smart Healthcare: Patient Data Privacy and Security in Sensor-Cloud Infrastructure. Wireless Communications and Mobile Computing, 2019. [IF: 1.40]
• Tehmina Amjad, Ali Daud, Sadia Khan, Rabeeh Ayaz Abbasi, Faisal Imran. Prediction of Rising Stars from Pakistani Research Communities. 14th International Conference on Emerging Technologies (ICET), 2018, pp. 1-6.
• Faisal Imran, Rabeeh Ayaz Abbasi, Muddassar Azam Sindhu, Akmal Saeed Khattak, Ali Daud, Tehmina Amjad. Finding Research Areas of Academicians using Clique Percolation. 14th International Conference on Emerging Technologies (ICET), 2018, pp. 1-6.
• Tehmina Amjad, Ying Ding, Jian Xu, Chenwei Zhang, Ali Daud, Jie Tang, Min Song. Standing on the Shoulder of Giants. Journal of Informetrics, 11(1): 307-323, 2017. (IF: 3.48)
• Ali Daud, Wahab Khan, Dunren Che. Urdu Language Processing. A Survey. Artificial Intelligence Review, 47(3), 279-311, 2017. (IF: 3.8)
• Malik Khizar Hayat, Ali Daud. Anomaly Detection in Heterogeneous Bibliographic Information Networks using Co-Evolution Pattern Mining. Scientometrics, 113(1): 149-175, 2017. (IF: 2.15)
• Hikmat Ullah Khan, Ali Daud. Finding the Top Influential Bloggers based on Productivity and Popularity Features. New Review of Hypermedia and Multimedia, 23(3): 189-206, 2017. [IF: 1.0]
• Ali Daud, Waqas Ahmed, Tehmina Amjad, Jamal Abdul Nasir, Naif Radi Aljohani, Rabeeh Ayaz Abbasi, Ishfaq Ahmad. Who Will Cite you back? Reciprocal Link Prediction in Citation Networks. Library Hi Tech, 35(4): 509-520, 2017. (IF: 0.76) 
• Hikmat Ullah Khan, Ali Daud, Umer Ishfaq, Tehmina Amjad, Naif Aljohani, Rabeeh Ayaz Abbasi, Jalal S. Alowibdi. Modelling to Identify Influential Bloggers in the Blogosphere: A Survey. Computers in Human Behavior, 68: 64-82, 2017. (IF:3.54)
• Tehmina Amjad, Ali Daud. Indexing of Authors According to their Domain of Expertise. Malaysian Journal of Library & Information Science, 22(1): 69-82, 2017. (IF: 0.47)
• Muhammad Aslam Jarwar, Rabeeh Ayaz Abbasi, Mubashar Mushtaq, Onaiza Maqbool, Naif R. Aljohani, Ali Daud, Jalal S. Alowibdi, J.R. Cano, S. García, Ilyoung Chong. CommuniMents: A Framework for Detecting Community based Sentiments for Events. International Journal on Semantic Web and Information Systems (IJSWIS), 13(2): 87-108, 2017. (IF: 1.5)
• Muhammad Ali Masood, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Mubashar Mushtaq, Naif R. Aljohani, Ali Daud, Muhammad Ahtisham Aslam, Jalal S. Alowibdi. MFS-LDA: A Multi-Feature Space Tag Recommendation Model for Cold Start Problem. Program-Electronic Library and Information Systems, 51(3): 218-234, 2017. (IF: 1.0)
• Haseeb Ahmad, Ali Daud, Licheng Wang, Haibo Hong, Hussain Dawood, and Yixian Yang. Prediction of Rising Stars in the Game of Cricket. IEEE Access, 5: 4104-4124, 2017. (IF: 3.2)
• Muhammad Faisal, Ali Daud, Abubakr Akram. Expert Ranking using Reputation and Answer Quality of Co-Existing Users. IAJIT, 14(1): 118-126, 2017 (IF 0.51)
• Hikmat Ullah Khan, Ali Daud. Using Machine Learning Techniques for Subjectivity Analysis based on Lexical and Non- Lexical Features. IAJIT, 14(4): 481-487, 2017 (IF 0.51)
• Ammad Usmani, Ali Daud. Unified Ranking based on Integrated Publication and Venue Rank. IAJIT, 14(1): 111-117, 2017 (IF 0.51)
• Ali Daud, Naif Radi Aljohani, Rabeeh Ayaz Abbasi, Zahid Rafique, Tehmina Amjad, Hussain Dawood, Khaled H. Alyoubi. Finding Rising Stars in Co-Author Networks via Weighted Mutual Influence. In Proceedings of 26th International World Wide Web Conference, 2017, pp. 33-41.
• Ali Daud, Naif Radi Aljohani, Rabeeh Ayaz Abbasi, Miltiadis D. Lytras, Farhat Abbas, Jalal S. Alowibdi. Predicting Student Performance using Advanced Learning Analytics. In Proceedings of 26th International World Wide Web Conference, 2017, pp. 415-421.
• Shanshan Ruan, Rashid Mehmood, Jalal S. Alowibdi, Hussain Dawood, Ali Daud. An adaptive method for clustering by fast search-and-find of density peaks. In Proceedings of 26th International World Wide Web Conference, 2017, pp. 119-127.
• Tehmina Amjad, Ali Daud, Dunren Che, Atia Akram. MuICEMutual Influence and Citation Exclusivity Author Rank. Information Processing and Management (JIPM), 52(3), 374-386, 2016. (IF 2.39)
• Muhammad Faisal, Ali Daud, Faisal Imran, Seungmin Rho. A Novel Framework for Social Web Forums’ Thread Ranking based on Semantics and Post Quality Features. Journal of Supercomputing, 72 (11), 4276-4295, 2016 (IF: 1.08)
• Muhammad Shoaib, Ali Daud, Malik Sikandar Hayat Khiyal. Role of References in Similarity Estimation of Publications. International Arab Journal of Information Technology, 13 (3), pp. 256-263, 2016 (IF 0.51)
• Tehmina Amjad, Ali Daud, Atia Akram, Faqir Muhammed. Impact of mutual influence while ranking authors in a co-authorship network. Kuwait Journal of Science, 43 (2), pp. 11-19, 2016. SCI (IF 0.09)
• Wahab Khan, Ali Daud, Jamal A. Nasir, Tehmina Amjad. A survey on the state-of-the-art machine learning models in the context of NLP. Kuwait Journal of Science, 43 (4) pp. 95-113, 2016.
• Wahab Khan, Ali Daud, Jamal Abdul Nasir, Tehmina Amjad. Named Entity Dataset for Urdu Named Entity Recognition Task. In Proceedings of 6th International Conference on Language and Technology (CLT), 2016.
• Ali Daud, Muhammad Ahmad, MSI Malik, Dunren Che. Using Machine Learning Techniques for Rising Star Prediction in Co-Author Network. Scientometrics, 102, pp. 1687-1711, 2015. SCI (IF 2.18)
• Ali Daud, Faqir Muhammad, Hassan Dawood, Hussain Dawood. Ranking Cricket Teams. Information Processing and Management, 51: 62-73. (IF: 1.40)
• Tehmina Amjad, Ying Ding, Ali Daud, Jian Xu, Vincent Malic. Topic-based Heterogeneous Rank. Scientometrics, 104 (1), pp. 313-334, 2015. SCI (IF 2.18)
• Hikmat Ullah Khan, Ali Daud, Tahir Afzal Malik. MIIB: A Metric to Identify Top Influential Bloggers in a Community. PLOS ONE. (IF 3.23) [DOI: 10.1371/journal.pone.0138359]
• Muhammad Shoaib, Ali Daud and Malik Sikandar Hayat Khiyal. Improving Similarity Measures for Publications with Special Focus on Author Name Disambiguation. Arabian Journal for Science and Engineering, 40 (6), pp. 1591-1605, 2015. (IF 0.36)
• Tehmina Amjad, Ali Daud, Atia Akram. Mutual Influence based Ranking of Authors. Mehran University Research Journal of Engineering & Technology, 34(S1), pp. 103-112, August 2015. EI
• 2014
• Muhammad Shoaib, Ali Daud, Malik Sikandar Hayat Khiyal. An Improved Similarity Measure for Text Documents. Journal of Basic and Applied Science Research (JBASR), 4(6), pp. 215-223, 2014. EI
• Ali Daud and Faqir Muhammad. Consistent Annual Citations based Researcher Index. COLLNET Journal of Scientoemtrics and Information Management, 8 (2), pp. 209-216, 2014. EI
• 2013
• Ali Daud, Rashid Abbasi and Faqir Muhammad. Finding Rising Stars in Social Networks. In Proceedings of International Conference on Database Systems for Advanced Applications (DASFAA), 22-25 April, 2013, pp. 13-24. (Acceptance Rate: 25.00 %) EI
• Umara Noor, Ali Daud, Ayesha Manzoor. Latent Dirichlet Allocation based Semantic Clustering of Heterogeneous Deep Web Sources. In Proceedings of 5th IEEE International Conference on Intelligent Networking and Collaborative Systems (INCoS-2013), September 9 - 11, 2013, pp. 132-138. EI
• 2012
• Ali Daud. Using Time Topic Modeling for Semantics-Based Dynamic Research Interest Finding. Knowledge-Based Systems (KBS), 26, pp. 154-163, 2012. SCI (IF 4.104)
• Ali Daud and Faqir Muhammad. Group Topic Modeling for Academic Knowledge Discovery. Journal of Applied Intelligence, 36(4), pp. 876-886, 2012. SCI (IF 1.853)
• Tehmina Amjad, Ali Daud, Sher Muhammad. A Survey of Dynamic Replication Strategies for Improving Data Availability in Data Grids. Future Generation Computer Systems, 28, pp. 337-349, 2012. SCI (IF 1.864)
• 2010
• Ali Daud, Juanzi Li, Lizhu Zhou, and Faqir Muhammad. Temporal Expert Finding through Generalized Time Topic Modeling. Knowledge-Based Systems (KBS), 23(6), pp. 615-625, July 2010. SCI (IF 1.54)
• Ali Daud, Juanzi Li, Lizhu Zhou, and Faqir Muhammad. Knowledge Discovery through Directed Probabilistic Topic Models. a Survey. Journal of Frontiers of Computer Science (FCS), 4(2), pp. 280-301, June, 2010. SCIE (IF 0.298)
• Ali Daud, Juanzi Li, Lizhu Zhou, Lei Zhang, Ying Ding and Faqir Muhammad. Modeling Ontology of Folksonomy with Latent Semantics of Tags. In Proceedings of the International Conference on Web Intelligence (WI), Canada, September 1-3, pp. 516-523, 2010. (Acceptance Rate: 16.6 %) EI
• Yan’an Jin, Ruixuan Li, Yi Cai, Qing Li, Ali Daud, and Yuhua Li. Semantic Grounding of Hybridization for Tag Recommendation. In Proceedings of 11th International Web-Age Information Management (WAIM), L. Chen et al. (Eds.): LNCS 6184, pp. 139–150, China, 2010. (Acceptance Rate: 28.00 %) EI
• 2009
• Ali Daud, Juanzi Li, Lizhu Zhou, and Faqir Muhammad. Conference Mining via Generalized Topic Modeling. In Proceedings of 19th International European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases (ECML PKDD), W. Buntine et al. (Eds.): Part I, LNAI 5781, pp. 244–259, Slovenia, 2009. (Acceptance Rate: 24.88 %) EI
• Ali Daud, Juanzi Li, Lizhu Zhou, and Faqir Muhammad. A Generalized Topic Modeling Approach for Maven Search. In Proceedings of International Asia-Pacific Web Conference and Web-Age Information Management (APWEB-WAIM), Q. Li et al. (Eds.): LNCS 5446, pp. 138–149, China, 2009. (Acceptance Rate: 22.70 %) EI
• Ali Daud, Juanzi Li, Lizhu Zhou, and Faqir Muhammad. Exploiting Temporal Authors Interests via Temporal-Author-Topic Modeling. In Proceedings of 5th International Conference on Advance Data Mining and Applications (ADMA), R. Huang et al. (Eds.): LNAI 5678, pp. 435-443, China, 2009. (Short Paper, Acceptance Rate: 28.57 %) EI
• Ali Daud, Muhammad Akram Shaikh, and Altaf Hussain Rajpar. Scientific Reference Mining using Semantic Information through Topic Modeling. Mehran University Research Journal of Engineering & Technology, Volume 28(2), pp. 253-262, April, 2009. EI