Publications

Journal Publications

Submitted (Under Review)

  1. Muneeba Dawood, Hammad Afzal, Khawir Mahmood. “Underwater Image Enhancement using Lightweight Vision Transformer” Multimedia Tools and Applications MTAP-D-23-00775R1
  2. Muhammad Waheed Khan, Hammad Afzal, Naima Iltaf, Adnan A. Khan, Yawar Abbas Bangash, and Muhammad Faisal Amjad “Effects of Code Granularity on Software Vulnerability Analysis: A Survey, Submitted to ACM Survey” ACM Computing Surveys. CSUR-2023-0420
  3. Mubashir Munaf, Hammad Afzal, Naima Iltaf, Khawir Mahmood. “Low Resource Summarization using Pre-trained Language Models”. ACM Transactions on Asian and Low-Resource Language Information Processing. TALLIP-23-0676
  4. Maira Ali, Hammad Afzal, Mubashir Munaf, Khawir Mahmood. “Domain-Independent Black Box Adversarial Attacks for Deep Learning based NLP Classifiers”.  Neural Computing and Applications. NCAA-D-23-05376
  5. Haider Kamal, Muaz Niazi, Hammad Afzal. “Replication of Learned Multi-Agent Reinforcement Learning Strategies for the “Hide and Seek” Problem”. Expert Systems with Applications
  6. Zeeshan Anwar, Hammad Afzal, Taher al-Shehari, Muna Al-Razgan, Taha Alfakih and Raheel Nawaz. “Mining the Opinions of Software Developers for Improved Project Insights: Harnessing the Power of Transfer Learning” IEEE Access
  7. Zeeshan Anwar, Hammad Afzal, Naima Iltaf, Seifedine Kadry, Jungeun Kim. “Fuzzy Ensemble of Fined Tuned BERT Models for Domain-Specific Sentiment Analysis of Software Engineering Dataset”. PLOS ONE

2024

  1. Zeeshan Anwar, Hammad Afzal. “Mining crowd sourcing repositories for open innovation in software engineering”. Automated Software Engineering 31, 11 (2024). https://doi.org/10.1007/s10515-023-00410-z.

2023

  1. Anwar, Zeeshan, Hammad Afzal, Ali Ahsan, Naima Iltaf, and Ayesha Maqbool. “A novel hybrid CNN-LSTM approach for assessing StackOverflow post quality.” Journal of Intelligent Systems 32, no. 1 (2023): 20230057.
  2. Naureen Zainab, Hammad Afzal,Taher al-Shehari, Muna Al-Razgan, Naima Iltaf, Muhammad Zakria, Muhammad Javed Hyder and Raheel Nawaz. “Detection and Classification of Temporal Changes for Citrus Canker Growth Rate using Deep Learning“. Accepted in IEEE Access (2023)
  3. Fatima, Anum, Imran Shafi, Hammad Afzal, Khawar Mahmood, Isabel de la Torre Díez, Vivian Lipari, Julien Brito Ballester, and Imran Ashraf. 2023. “Deep Learning-Based Multiclass Instance Segmentation for Dental Lesion detection”  Healthcare 11, no. 3: 347. https://doi.org/10.3390/healthcare11030347 (IF 3.16)
  4. Saeed, Ramsha, Hammad Afzal, Naima Iltaf. Sadaf Abdul Rauf “Domain Independent Detection of Offensive Language and its Severity for Low Resource Language.” Transactions on Asian and Low-Resource Language Information Processing. (IF 1.42)
  5. Ch, M. M. I., Riaz, M. M., Iltaf, N., Ghafoor, A., & Saghir, N. J. (2023). Shift-invariant discrete wavelet transform-based sparse fusion of medical images. Signal, Image and Video Processing, 17(4), 881-889.
  6. Usman, D., Abdul, K. & Asim, D. A Data-Driven Temporal Charge Profiling of Electric Vehicles. Arab J Sci Eng (2023). https://doi.org/10.1007/s13369-023-08036-9
  7. Sabir Ali Changazi, Asim Dilawar Bakhshi, Muhammad Yousaf et al. Topology Robustness Modelling against Targeted Attacks for Smart Healthcare System using Go-GA, 24 May 2023,

2022

  1. Noor ul Ain, Waseem Iqbal, Hammad Afzal, “Carving of the OOXML Document From Volatile Memory Using Unsupervised Learning Techniques.” Journal of Information Security and Applications 2021 (IF 4.96) .
  2. Nadeem, Aleena, Muhammad Naveed, Muhammad Islam Satti, Hammad Afzal, Tanveer Ahmad, and Ki-Il Kim. 2022. “Depression Detection Based on Hybrid Deep Learning SSCL Framework Using Self-Attention Mechanism: An Application to Social Networking Data” Sensors 22, no. 24: 9775. https://doi.org/10.3390/s22249775.
  3. Fatima, Anum, Imran Shafi, Hammad Afzal, Isabel De La Torre Díez, Del Rio-Solá M. Lourdes, Jose Breñosa, Julio César Martínez Espinosa, and Imran Ashraf. 2022. “Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives” Healthcare 10, no. 11: 2188. https://doi.org/10.3390/healthcare10112188 (IF 3.16).
  4. Muslim, H. S. M., Rubab, S., Khan, M. M., Iltaf, N., Bashir, A. K., & Javed, K. (2022). S-RAP: relevance-aware QoS prediction in web-services and user contexts. Knowledge and Information Systems, 64(7), 1997-2022.
  5. Saeed, Ramsha, Haider Abbas, Sara Asif, Saddaf Rubab, Malik M. Khan, Naima Iltaf, and Shynar Mussiraliyeva. “A framework to predict early news popularity using deep temporal propagation patterns.” Expert Systems with Applications 195 (2022): 116496.
  6. Waleed Bin Shahid, Baber Aslam, Haider Abbas, Hammad Afzal, Saad Bin Khalid, ” A Deep learning assisted Personalized Deception System for countering Web Application Attacks.” Journal of Information Security and Applications 2021 (IF 4.96).

2021

  1. Khan, Z., Hussain, M. I., Iltaf, N., Kim, J., & Jeon, M. (2021). Contextual recommender system for E-commerce applications. Applied Soft Computing, 109, 107552.
  2. Mumtaz, Zainub, Mehreen Afzal, Waseem Iqbal, Waqas Aman, and Naima Iltaf. “Enhanced Metamorphic Techniques-A Case Study Against Havex Malware.” IEEE Access 9 (2021): 112069-112080.
  3. Waleed Bin Shahid, Baber Aslam, Haider Abbas, Saad Bin Khalid, Hammad Afzal. “An Enhanced Deep Learning based Framework for Web Attacks Detection, Mitigation and Attacker Profiling.” Journal of Network and Computer Applications 2021 (IF 7.575).
  4. Sajid Hussain, Hammad Afzal, Ramsha Saeed, Naima Iltaf and Mir Yasir Umair. “Pharmacovigilance with Transformers: A Framework to Detect Adverse Drug Reactions Using BERT Fine-Tuned with FARM.” Computational and Mathematical Methods in Medicine 2021 (IF 2.809).
  5. Saeed, Ramsha, Hammad Afzal, Haider Abbas, and Maheen Fatima. “Enriching conventional ensemble learner with deep contextual semantics to detect fake news in Urdu.” Transactions on Asian and Low-Resource Language Information Processing 21, no. 1 (2021): 1-19. (IF 1.42)
  6. Bilal Rauf, Haider Abbas, Muhammad Usman, Tanveer A. Zia, Waseem Iqbal, Yawar Abbas, Hammad Afzal, (2021) “Application Threats to Exploit Northbound Interface Vulnerabilities in Software Defined Networks” ACM COMPUTING SURVEYS (IF 14.324)
  7. Marvi Waheed, Hammad Afzal, Khawir Mehmood, (2021) “NT-FDS: A Noise Tolerant Fall Detection System using Deep Learning on Wearable Devices” Sensors (IF 3.847)
  8. Muhammad Faisal Amjad, Hammad Afzal, Haider Abbas, Abdul B. Subhani, (2021) “AdS: An Adaptive Spectrum Sensing Technique for Survivability under Jamming Attack in Cognitive Radio Networks”. Computer Communications (IF 5.047)
  9. Javed Ashraf, Marwa Keshk, Nour Moustafa, Mohamed Abdel-Basset, Hasnat Khurshid, Asim D. Bakhshi, Reham R. Mostafa, IoTBoT-IDS: A novel statistical learning-enabled botnet detection framework for protecting networks of smart cities, Sustainable Cities and Society, Volume 72, 2021,

2020

  1. Zafran Khan, Naima Iltaf, Hammad Afzal, Haider Abbas, “DST-HRS: A topic driven hybrid recommender system based on deep semantics”. Computer Communications (IF 5.047)
  2. Mehreen Ahmed, Hammad Afzal, Imran Siddiqi, Khawar Khurshid, Faisal Amjad, Exploring Nested Ensemble Learners using Over-production and Choose Approach – An Application to Customer Churn Prediction, Neural Computing and Applications (Springer) (2020). IF 5.1.
  3. Khan, Zafran, Naima Iltaf, Hammad Afzal, and Haider Abbas. “Enriching non-negative matrix factorization with contextual embeddings for recommender systems.” Neurocomputing 380 (2020): 246-258.
  4. Ullah, Kaleem, Imran Rashid, Hammad Afzal, Mian Muhammad Waseem Iqbal, Yawar Abbas Bangash, and Haider Abbas. “SS7 vulnerabilities—a survey and implementation of machine learning vs rule based filtering for detection of SS7 network attacks.” IEEE Communications Surveys & Tutorials 22, no. 2 (2020): 1337-1371.
  5. Mehtab, Anam, Waleed Bin Shahid, Tahreem Yaqoob, Muhammad Faisal Amjad, Haider Abbas, Hammad Afzal, and Malik Najmus Saqib. “AdDroid: rule-based machine learning framework for android malware analysis.” Mobile Networks and Applications 25 (2020): 180-192.

2019

  1. Waseem Iqbal, Abid Jadoon, Muhammad Faisal Amjad, Hammad Afzal, Yawar Abbas Bangash, Forensic Analysis of Tor Browser: A Case Study for Privacy and Anonymity on the Web, Forensic Science International (Elsevier). IF:2.676.
  2. Rida Zojaj Naeem; Sanam Bashir, Muhammad Faisal Amjad, Haider Abbas, Hammad Afzal. (2019) Survey on Fog Computing in IoT – Fog Architectures, Practical Applications and Future Directions, Peer-to-Peer Networking and Applications;. IF: 3.488.
  3. Yawar Abbas Bangash, Haider Abbas, Waseem Iqbal, Malik Muhammad Zaki Murtaza Khan, Bilal Rauf, Hammad Afzal: (2019) “Delay Reduction through Optimal Controller’s Placement to Boost Scalability in a SDDC”. IEEE Systems Journal (IF: 3.931)
  4. Arif, Omar, Hammad Afzal, Haider Abbas, Muhammad Faisal Amjad, Jiafu Wan, and Raheel Nawaz. “Accelerated Dynamic MRI Using Kernel-Based Low Rank Constraint.” Journal of Medical Systems 43, no. 8 (2019): 271. (IF: 4.92)
  5. Sabeen Javed, Hammad Afzal, Muhammad Babar, Fahim Arif, Z Tan, Thomas Tan, Mian Jan (2019). ARCA-IoT: An Attack-Resilient Cloud-Assisted IoT System. IEEE Access. IF 3.476
  6. Sabeen Javaid, Hammad Afzal, Fahim Arif, Naima Iltaf, Haider Abbas and Waseem Iqbal. “CATSWoTS: Context Aware Trustworthy Social Web of Things System” Sensors 2019, 19(14), 3076; (IF 3.847)
  7. Muhammad Asim, Muhammad Faisal Amjad, Muhammad Waseem, Haider, Hammad Afzal, Yin Zhang, AndroKit: A Toolkit for Forensics Analysis of Web Browsers on Android Platform, Future Generation Computer Systems  (Elsevier) (2019). IF: 7.307
  8. Maham Jahangir, Hammad Afzal, Mehreen Ahmed, Khawar Khurshid, Faisal Amjad, Raheel Nawaz, Haider Abbas, Auto-MeDiSine: An Auto-Tunable Medical Decision Support Engine using an automated Class Outlier Detection method and AutoMLP, Neural Computing and Applications (Springer).
  9. Saim Bin Abdul Khaliq; Muhammad Faisal Amjad, Haider Abbas, Narmeen Shafqat, Hammad Afzal. Defence Against PUE Attacks in Ad hoc Cognitive Radio Networks: A Mean Field Game Approach,  Telecommunication Systems (Springer) (2019) IF: IF: 2.336
  10. Yunus, Raza; Arif, Omar; Afzal, Hammad; Amjad, Muhammad Faisal; Abbas, Haider; Bukhari, Hira; Haider, Syeda; Zafar, Nauman; Nawaz, Raheel; A Framework to Estimate the Nutritional Value of Food in Real Time Using Deep Learning Techniques. IEEE Access. (2018) IF 3.476

2018 & Before

  1. Tayyaba Mukhtar, Hammad Afzal (2018), Semantically enhanced concept search of the Holy Quran: Quranic English WordNet, Arab Journal of Science and Engineering. IF: 2.807
  2. Fahad Anwaar, Naima Iltaf, Hammad Afzal, Raheel Nawaz, HRS-CE: A Hybrid Framework to integrate Content Embeddings in Recommender Systems for Cold Start Items, Journal of Computational Science (Elsevier) (2018). IF: 3.817
  3. Zeeshan Anwar , Hammad Afzal , Nazia Bibi , Haider Abbas, Athar Mohsin, Omar Arif, A Hybrid-Adaptive Neuro-Fuzzy Inference System for Multi-Objective Regression Test Suites Optimization, Neural Computing and Applications (Springer) (2018) IF: 5.1
  4. Khan, Rashid Masood, Waseem Iqbal, Muhammad Faisal Amjad, Haider Abbas, Hammad Afzal, Abdul Rauf, and Maruf Pasha. Forensic investigation to detect forgeries in ASF files of contemporary IP cameras. The Journal of Supercomputing (2018): 1-22. IF: 2.557
  5. Imran Fareed Nizami, Muhammad Majid, Hammad Afzal, Khawar Khurshid (2017). “Impact of Feature Selection Algorithms on Blind Image Quality Assessment”. Arabian Journal for Science and Engineering (Springer). Aug, 2017. IF: 2.807
  6. Ahmed, Mehreen, Asma Ghulam Rasool, Hammad Afzal, Imran Siddiqi. Improving handwriting based gender classification using ensemble classifiers. Expert Systems with Applications 85 (2017): 158-168. IF: 8.665
  7. Toshiaki Katayama, Mark D Wilkinson, Gos Micklem, Shuichi Kawashima, Atsuko Yamaguchi, Mitsuteru Nakao, Yasunori Yamamoto, Shinobu Okamoto, Kenta Oouchida, Hong-Woo Chun, Jan Aerts, Hammad Afzal, et al. (2013) “The 3rd DBCLS BioHackathon: improving life science data integration with semantic Web technologies”, Journal of Biomedical Semantics 2011, 4:6; Feb, 2013.  IF: 1.675
  8. Hammad Afzal, James Eales, Robert Stevens, Goran Nenadic (2011): Mining Semantic Networks of Bioinformatics Web Resources from the Literature: Journal of Biomedical Semantics, March 2011. IF: 1.675
  9. Mehreen Ahmed, Hammad Afzal, Awais Majeed, Behram Khan (2017): A Survey of Evolution in Predictive Models and Impacting Factors in Customer Churn. Advances in Data Science and Adaptive Analysis. [ISI-Masters List]
  10. Raheela Arshad, Awais Majeed, Hammad Afzal, Muhammad Muzammal, Arif Rehman (2016):  Evaluation of Navigational Aspects of Moodle. In International Journal of Advanced Computer Science and Applications (IJACSA). 7(3) Jan 2016 [ISI-Master List]
  11. Sabeen Javed, Hammad Afzal, Fahim Arif, Awais Majeed, (2016): Reputation Management System for Fostering Trust in Collaborative and Cohesive Disaster Management. International Journal of Advanced Computer Science and Applications (IJACSA). 7(7). Jun 2016 [ISI-Master List]
  12. Muhammad Hassan Latif, Hammad Afzal (2016): Prediction of Movies popularity Using Machine Learning Techniques. International Journal of Computer Science and Network Security (IJCSNS) 16(8) (2016): 127. [ISI-Master List]
  13. Janisar, Aftab Alam, Hammad Afzal, and Ganesh Kumar. “Identification of HATE speech tweets in Pashto language using Machine Learning techniques.” International Journal of Advanced Trends in Computer Science and Engineering 10, no. 3 (2021).
  14. Shoohira Aftab, Hammad Afzal, Amna Khalid. An Approach for Secure Semantic Data Integration at DaaS Layer. In International Journal of Information and Education Technology, IJIET, Vol 5, Issue 2, Feb2014
  15. U. Mahmud, N.A. Malik, B. Rauf, K.A. Bhatti and H. Afzal (2015): “QoS Aware Wavelength Assignment in Wavelength Division Multiplexing Based Optical Networks”. In International Journal of Multidisciplinary Sciences and Engineering (IJMSE).ISSN 2045-7057.vol 6 no 1 pp 23-27. Jan 2015

Conference Publications

  1. Zainab, Naureen, Hammad Afzal, Fahim Arif, Abdul Ghafoor, et al. “Diagnosis and Identification of Citrus Canker Growth Rate Using Machine Learning.” In 2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning (PRML), pp. 75-79. IEEE, 2023.
  2. Sehrish Farid, Naima Iltaf, Hammad Afzal “Electricity Theft Detection Via Deep Learning”. In International Conference on Communication Technologies (ComTech) (IEEE Sponsored) 15-16 Mar, 2023 Pakistan
  3. Rabia Qayyum, Hammad Afzal, Khawir Mahmood, Naima Iltaf “Detection and Analysis of Mental Health Illness using Social Media” In International Conference on Communication Technologies (ComTech) (IEEE Sponsored) 15-16 Mar, 2023 Pakistan
  4. N. Ul Ain, A. Irfan, N. Iltaf and M. Ul Hassan, “A Hybrid Collaborative Filtering Technique for Web Service Recommendation using Contextual Attributes of Web Services,” 2022 Second International Conference on Distributed Computing and High Performance Computing (DCHPC), Qom, Iran, Islamic Republic of, 2022.
  5. Waleed Bin Shahid, Haider Abbas, Baber Aslam, Hammad Afzal, and Saad Bin Khalid. “A Framework to optimize deep learning based Web Attack Detection using Attacker Categorization.” In 19th IEEE international conference on embedded and ubiquitous computing (EUC 2021). Shenyang, China.
  6. Ain, Noor Ul, et al. “A Hybrid Collaborative Filtering Technique for Web Service Recommendation using Contextual Attributes of Web Services.” 2022 Second International Conference on Distributed Computing and High Performance Computing (DCHPC). IEEE, 2022.
  7. Syed Wasif Abbas Hamdani , N Iltaf, Waseem Iqbal, “DTMSim-IoT: A Distributed Trust Management Simulator for IoT Networks”, 18th IEEE International Conference on Dependable, Autonomic & Secure Computing (DASC 2020)
  8. S Ahmad, F Arif, Z Zabeehullah, N Iltaf ,” Novel Approach Using Deep Learning for Intrusion Detection and Classification of the Network Traffic”, 2020 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) , June 2020
  9. Anwar, Fahad, Naima Iltaf, Hammad Afzal, and Haider Abbas. “A Deep Learning Framework to Predict Rating for Cold Start Item Using Item Metadata.” In 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), pp. 313-319. IEEE, 2019.
    (IEEE Sponsored)
  10. Saleem, Farah, Naima Iltaf, Hammad Afzal, and Mobeena Shahzad. “Using Trust in Collaborative Filtering for Recommendations.” In 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), pp. 214-222. IEEE, 2019.
    (IEEE Sponsored)
  11. Naeem Amjad, Muhammad Faisal Amjad, Hammad Afzal, Farrukh Aslam Khan. A Multi-Classifier Framework for Open Source Malware. Forensics Security, Safety and Trust Management Track 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE). Paris France. June 27-29, 2018.
  12. Z. Anwar, N. Bibi and H. Afzal, “Mining Mobile Security Concerns and their Solutions,” 2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 2019, pp. 640-646, doi: 10.1109/IBCAST.2019.8667251.
  13. Maryam Jameela, Hammad Afzal, Khawar Khurshid and Asad Waqar Malik (2018): Crowd-sourced System to Report Traffic Violations. 4th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), Portugal. (Springer)
  14. Sabeen Javaid, Hammad Afzal, Fahim Arif, Naima Iltaf (2018): “Trust Management for SOA based Social WoT System”. In 20th International Conference on Advanced Communication Technologies (ICACT 2018), Korea. ((IEEE Sponsored)(Scopus Indexed)
  15. Khalid, Komal, Hammad Afzal, Faiza Moqaddas, Naima Iltaf, Ahmed Muqeem Sheri, and Raheel Nawaz. “Extension of Semantic Based Urdu Linguistic Resources Using Natural Language Processing.” In Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence & Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress (DASC/ PiCom/DataCom/CyberSciTech), 2017 IEEE 15th Intl, pp. 1322-1325. IEEE, 2017.
  16. Jahangir, Maham, Hammad Afzal, Mehreen Ahmed, Khawar Khurshid, and Raheel Nawaz. “An expert system for diabetes prediction using auto tuned multi-layer perceptron.” In 2017 Intelligent systems conference (IntelliSys), pp. 722-728. IEEE, 2017.
  17. Maham Jehangir, Mehreen Ahmad, Hammad Afzal, Raheel Nawaz (2017): “MCS: Multiple Classifier System to Predict the Churners in the Telecom Industry”. In Intelligent Systems Conference (IntelliSys 2017), London, UK. ((IEEE)
  18. Muhammad Samiul Haq, Zeeshan Anwar, Ali Ahsan and Hammad Afzal (2017): “Design pattern for secure object oriented information systems development”. In 14th International Bhurban Conference on Applied Sciences and Technology (IBCAST-2017): 10-14 Jan, 2017 Bhurban, Pakistan.
  19. Malik, Sunia, Hammad Afzal, Imran Siddiqi, and Awais Majeed. “Analyzing Socio-economic and Geographical factors for Crime Incidents using Heat maps and Hotspots.” In Proceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence, pp. 144-151. ACM, 2016.
  20. Kamal, Uzair, Imran Siddiqi, Hammad Afzal, and Arif Ur Rahman. “Pashto Sentiment Analysis Using Lexical Features.” In Proceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence, pp. 121-124. ACM, 2016.
  21. Hammad Afzal, Kashif Mehmood (2016): “Spam Filtering of Bi-Lingual Tweets Using Machine Learning”. In 18th International Conference on Advanced Communication Technologies (ICACT 2016), Korea. ((IEEE Sponsored)
  22. Mahreen Ahmad, Maham Jahangir, Hammad Afzal, Awais Majeed, Imran Siddiqi (2015): “Using Crowd-source based features from social media and Conventional features to predict the movies popularity”. In The 8thInternational Conference on Social Computing and Networking (SocialCom 2015), Chengdu, Sichuan, China. ((IEEE/ACM/Elsevier/Springer Sponsored)
  23. Kashif Mehmood, Hammad Afzal (2015): “Contributions to the study of bi-lingual SMS filtering”. In 2015 National Software Engineering Conference (NSEC 2015), Pakistan. ((IEEE Sponsored)
  24. Anum Kaleem, Awais Majeed, Hammad Afzal, Tamim Ahmed Khan, Faisal Bashir (2015): “Volunteer Reputation Evaluation for Emergency Response Operations”. Accepted in 2nd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM’2015) Rennes, France.
  25. F.Javeed, A.Naz, N.Iltaf, A Review on Variant Clustering Designs in Heterogeneous WSNs , National Software Engineering Conference (NSEC 2015), Dec 2015.
  26. M.S. Khan, N. Iltaf, A.Rashdi, “Collusion-Resistant Sybil Attack Detection Scheme in Mobile Ad hoc”, Networks National Software Engineering Conference (NSEC 2014), Oct 2014.
  27. Zeshan Javed, Hammad Afzal, Sarmad Sadik. (2014). “Biomedical Text Mining for Concept Identification from Traditional Medicine Literature”. In IEEE 8th ICOSST-2014, Lahore Pakistan
  28. Amna Khalid, Hammad Afzal, Shoohira Aftab. “Balancing Scalability, Performance and Fault tolerance in structured data”. In 16th Conference on Advanced Communication Technology. IEEE ICACT Feb, 2014, Korea.
  29. Iqra Javed, Hammad Afzal (2013). “Opinion analysis of bi-lingual event data from social networks” Paper published in ESSEM: International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (Italy)
  30. Tayyaba Mukhtar, Hammad Afzal, Awais Majeed (2012). Vocabulary of Quranic Concepts: A semi-automatically created Terminology of Holy Quran. Published in 15th International Multi-topic Conference. IEEE INMIC, Islamabad, Pakistan
  31. Sabeen Javaid, Awais Majeed, Hammad Afzal (2013).A Reputation Framework for Disaster and Emergency Response Operations. Published in 15th Conference on Advanced Communication Technology. IEEE ICACTJan, 2013, Korea
  32. N. Iltaf, A. Ghafoor and M. Hussain, “STEP-α: An Algorithmic Approach towards Trust based security in Pervasive Computing Environment”, The 2011 IEEE Asia-Pacific Services Computing Conference, December 12-15, Jeju , Korea, pp. 330 – 336, 2011.
  33. N. Iltaf, and A. Ghafoor “A Fuzzy Based Credibility Evaluation of Recommended Trust in Pervasive Computing Environment”, The 10h Annual IEEE Consumer Communications and Networking Conference, January 14-17, Las Vagas, USA, 2013.
  34. N. Iltaf, A. Ghafoor and U. Zia,, “An Attack Resistant Method for Detecting Dishonest Recommendation in Pervasive Computing Environment”, The 18th international conference on networks (ICON 2012), Dec 12-14, Singapore, 2012.
  35. N. Iltaf, A. Ghafoor and M. Hussain, “An Adaptive Framework for Trust based Security in Pervasive Computing Environment”, The 9th Annual IEEE Consumer Communications and Networking Conference, January 17-19, Las Vagas, USA, 2012
  36. N. Iltaf, A. Ghafoor and M. Hussain, “On Trust Management for Multimedia P2P Applications in Autonomic Networking”, The 2011 IEEE Asia-Pacific Services Computing Conference, December 12-15, Jeju , Korea, pp. 24 – 28, 2011
  37. N. Iltaf, and A. Ghafoor “A Recommendation Exchange Protocol between Smart Devices in Pervasive Computing Environment”, The Ninth International Symposium on Frontiers of Information Systems and Network Applications (FINA-2013).
  38. Veena Safdar, Faisal Bashir, Zara Hamid, Hammad Afzal (2012):  A hybrid routing protocol for wireless sensor networks with mobile sinks, Published in 7th International Symposium on Wireless Pervasive Computing ISWPC 2012, Dalian China.
  39. Hammad Afzal, Paul Buitelaar, Philipp Cimiano (2010): Generating Lexical Information for Terminology in a Bioinformatics Ontology, In Proceedings of TKE (Terminology and Knowledge Engineering) Conference, Ireland.
  40. Hammad Afzal, James Eales, Robert Stevens, Goran Nenadic (2009): Mining Semantic Networks of Bioinformatics Web Resources from the Literature, In Proceedings of the 2nd Workshop of Semantic Web Applications and Tools for Life Sciences (SWAT4LS), Amsterdam.
  41. Hammad Afzal, Robert Stevens, Goran Nenadic (2009): Mining Semantic Descriptions of Bioinformatics Web Resources from the Literature, In Proceedings of the 6th European Semantic Web Conference (ESWC) on the Semantic Web: Springer-Verlag: 535-549. Heraklion, Crete, Greece.
  42. Hammad Afzal, Robert Stevens, Goran Nenadic (2008): Towards Semantic Annotation of Bioinformatics Services: Building a Controlled Vocabulary, Proceedings of the Third International Symposium on Semantic Mining in Biomedicine, Turku, Finland.
  43. Hammad Afzal, Robert Stevens, Goran Nenadic (2009); Towards Semantic Network of Bioinformatics Resources: 17th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Stockholm, Sweden
  44. N. Iltaf, M.Hussain, and F. Kamran,“A Mathematical Approach Towards Trust Based Security in Pervasive Computing Environment”, 3rd International Conference on Information Security and Assurance (ISA 2009) South Korea.pp. 702 – 711, 2009.
  45. Iltaf, N.; Mahmud, U.; Kamran, F., “Security & trust enforcement in pervasive computing environment (STEP),” International Symposium on HONET, September 6-8, pp.1-5, 2006.
  46. Mahmud, U., Iltaf, N.; Mahmud, U.; Kamran, F., “Context Congregator: Gathering Contextual Information in CAPP, ” Proceedings of the International Conference on Frontiers of Information Technology, 2007.

Book Chapters

  1. Rubab, J., Afzal, H., Shahid, W.B. (2022). “A Survey of Network Features for Machine Learning Algorithms to Detect Network Attacks”. In: Nguyen, N.T., Tran, T.K., Tukayev, U., Hong, TP., Trawiński, B., Szczerbicki, E. (eds) Intelligent Information and Database Systems. ACIIDS 2022. Lecture Notes in Computer Science(), vol 13758. Springer, Cham. https://doi.org/10.1007/978-3-031-21967-2_7
  2. Bin Shahid, W., Aslam, B., Abbas, H., Afzal, H., Rashid, I. (2022). “An Ensemble Based Deep Learning Framework to Detect and Deceive XSS and SQL Injection Attacks”. In: Nguyen, N.T., Tran, T.K., Tukayev, U., Hong, TP., Trawiński, B., Szczerbicki, E. (eds) Intelligent Information and Database Systems. ACIIDS 2022. Lecture Notes in Computer Science, vol 13757. Springer, Cham. https://doi.org/10.1007/978-3-031-21743-2_15
  3. Iqra Javed, Hammad Afzal, Awais Majeed, Behram Khan (2014): “Towards creation of linguistic resources for Bi-lingual Sentiment Analysis of Twitter Data”, In International Conference on Applications of Natural Language to Data Bases/Information Systems (pp. 232-236). Springer, Cham.
  4. Iqra Javed, Hammad Afzal. (2014) “Creation of bi-lingual Social Network Dataset using classifiers” In International Workshop on Machine Learning and Data Mining in Pattern Recognition, pp. 523-533. Springer, Cham, 2014.
  5. Hammad Afzal, Robert Stevens, Goran Nenadic (2009): Mining Semantic Descriptions of Bioinformatics Web Resources from the Literature, The Semantic Web Research and Applications (2009) LNCS 5554, pp. 535–549, 2009. Publisher: Springer, Pages: 535-549 (Scopus Indexed)