Researches Center of Data & Text Engineering and Mining (CoDTeEM)

Center of Data & Text Engineering and Mining (CoDTeEM)


Share this story:

Introduction:

We conduct research mainly in Text and Data Mining domain. We aim to specialize in Social Media Analysis for Regional Languages (e.g. Urdu, Pashto). Furthermore, we investigate methodologies for the extraction of implicit knowledge from large collections of textual documents.

​1.   ​R​esearch​ Areas​

  • ​​Machine Learning
  • Semantically Enhanced Information Retrieval
  • Sentiment Analysis for Natural Languages
  • Social Graph Analysis​

2.  Gr​​oup Member

​​Faculty​ ​​​​ ​ ​
S/No Name Specialization Contact Details
1. Dr. Hammad Afzal (Group Head) Machine Learning hammad.afzal@mcs.edu.pk
2. Dr. Adnan Ahmed Khan Wireless Communication adnankhan@mcs.edu.pk
​3. ​Dr. Naima Iltaf ​Machine Learning, Collaborative Systems ​naima@mcs.edu.pk
4. Dr. Ahmed Muqeem Sheri Machine Learning ​asheri@mcs.edu.pk
5. Dr. Saddaf Rubab Big Data, Machine Learning, Predictive Analytics saddaf@mcs.edu.pk
6. Dr. Zaki Murtaza Khan Machine Learning mmurtaza@mcs.edu.pk
7. Dr. Ayesha Maqbool Machine Learning ayesha.maqbool@mcs.edu.pk

 

​​​Current PhD Students​​ ​ ​ ​ ​​
S/No Name Supervisor Research Topic ​Start Date Contact Details​
1. NS Zeeshan Anwar Dr. Hammad Afzal Mining Crowd sourcing Repositories for Open Innovation in Software Engineering ​01-09- 2016 ​0323-8557420
2. Naureen Zainab Dr. Hammad Afzal Diagnosis of Plant Diseases using Image Processing and Machine Learning ​19-02-2016 ​0333-5475737
3. Sheikh Zeshan Javed Dr. Hammad Afzal Security in Mobile Devices ​12-04-2018 ​0321-5188666

 

​Research Projects Completed​ ​ ​
S/No Project Title Student Name of Supervisor
1. Semantically enhanced Information Retrieval: Language Resources and Tools Jamal Ahmed Dr. Hammad Afzal
2. Wordnet Extension (for Compound Words) Komal Khalid Dr. Hammad Afzal
3. Creation of Bi-lingual Social Network Dataset Using Classifiers ​Dr. Hammad Afzal
4. Opinion Analysis of Bi-Lingual Event Data from Social Networks Iqra Javed Dr. Hammad Afzal
5. Sentiment Analysis in Urdu for Complex Sentences (with Negations and Conjunctions) Faiza Moqaddas Dr. Hammad Afzal

 

​​​​Research Projects in H​and: ​ ​ ​ ​
S/No  Title Student Name of Supervisor    Date
1. Design and Implementation of a framework to aggregate feedbacks about consumer products using social media Mehreen Astafnas Dr. Hammad Afzal ​24-05-2017
2. Supervised Topic Modeling in Urdu Language for Domain Lexicon Generation Aziya Mehboob Dr. Hammad Afzal ​20-12-2017
3. Improving the Concept Search of Quran Using Linguistic Semantic Resources and Deep Learning Badr un Nisa ​Dr. Hammad Afzal ​20-12-2017
4. Embedding part of speech information in word2vec for Text classification Rumesa Dr. Hammad Afzal ​6-12-2017
5. Improvised Hybrid Collaborative Filtering Recommender System Zafran Khan Dr. Hammad Afzal ​28-02-2018​

Research Group Coordinator:

Assistant Professor Dr. Hammad Afzal
Tel: +92 (321) 8580900
Email: hammad.afzal@mcs.edu.pk

Publications

Book

  • ​Hammad Afzal (2013): A Framework for Semantic Descriptions of e-Science Resources. Published By: LAMBERT Academic Publishing. ISBN: 978-3-659-36122-7

Book Chapters

  • Iqra Javed, Hammad Afzal, Awais Majeed, Behram Khan (2014): Towards creation of linguistic resources for Bi-lingual Sentiment Analysis of Twitter Data, Natural Language Processing and Information Systems (2014) LNCS8455, pp. 232–236, 2014. Publisher: Springer (Scopus)
  • 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)​

Patent (Pakistan)

  • ​Imran Abeel, Khawar Khurshid, Hammad Afzal, Arslan Shaukat, Syed Sajjad Zaidi, Attaullah Memon, “Reconfigurable Road Markers”.
    Patent No. 459/2015.
Journal Publications
  • ​Anam Mehtab, Waleed Bin Shahid, Muhammad Faisal Amjad, Tehreem Yaqoob, Haider Abbas, Hammad Afzal (2019) AdDroid : Rule based Machine Learning Framework for Android Malware Analysis,  Mobile Networks and Applications; IF: 2.497
  • 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 3.031)
  • 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 2.098)
  • M .Iqbal, M. Riaz, N. Iltaf, A. Ghafoor, “Weighted Image Fusion using Cross Bilateral Filter and Non-subsampled Contourlet Transform”, Multidimensional Systems & Signal Process (MULT) (IF: 2.388)
  • 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).(IF: 4.66)
  • M. Iqbal, M. Riaz, N. Iltaf, A. Ghafoor ,“Magnetic Resonance and Computed Tomography Image Fusion using Saliency Map and Cross Bilateral Filter”, Signal, Image and Video Processing.2019 (IF: 1.894)
  • Abid Jadoon,Waseem Iqbal, 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: 1.994)
  • 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: 1.99.
  • Tahreem Yaqoob, Azka Arshad, Haider Abbas, M. Faisal Amjad, Narmeen Shafqat, “Framework for Calculating Return on Security Investment (ROSI) for Security-Oriented Organizations”. Elsevier Future Generation Computer Systems June 2019, vol 95 pp 754-763. IF 5.768 .
  • 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 4.098
  • Hammad Afzal, Tayyaba Mukhtar, (2018),Semantically enhanced concept search of the Holy Quran: Quranic English WordNet, Arab Journal of Science and Engineering. IF: 1.5.
  • 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 4.098.
  • 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) (2018). IF: 4.667.
  • 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: 2.502.
  • 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: 4.2.
  • M. Farooq, M. Riaz, A. Ghafoor, N. Iltaf, “An Efficient Eulerian Video Magnification Technique for Micro-biology Applications”, Radioengineering 2017 (IF: :0.96 ).
  • K. N. Sukhia , M. M. Riaz, A. Ghafoor and N. Iltaf, “Overlapping White Blood Cells Detection based on Watershed Transform and Circle Fitting”, Radioengineering 2017 (IF: :0.96 ).
  • Jabeen, M. Riaz, N. Iltaf, A. Ghafoor, “Image Contrast Enhancement using Weighted Transformation Function”, IEEE Sensors Journal, 2016 (IF: : 2.617).
  • N. Iltaf, A. Ghafoor, U. Zia and M. Hussain, “An Effective Model for Indirect Trust Computation in Pervasive Computing Environment”, Wireless Personal Communications, 2014(IF: :0.929).
  • N. Iltaf, A. Ghafoor and U. Zia, “A Mechanism for Detecting Dishonest Recommendation in Indirect Trust Computation ”, EURASIP Journal on Wireless Communication and Networking, 2013 (IF: :1.592).
  • N.Iltaf, A. Ghafoor and M. Hussain, “Modelling Interaction Using Trust and Recommendation in Ubiquitous Computing Environment”, EURASIP Journal on Wireless Communication and Networking, 2012(IF: : 1.592)
  • K. N. Sukhia , M. M. Riaz, A. Ghafoor and N. Iltaf ,Content-Based Histopathological Image Retrieval using Multi-Scale and Multichannel Decoder based LTP, Biomedical Signal Processing & Control. (IF: : 2.943)
  • 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) (20​18). IF: 5.768.
  • 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) (2018) IF: 1.5.
  • 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. 1.5 IF.
  • Afraa Attiah,, M. Faisal Amjad, Mainak Chatterjee,, Cliff Zou, “An Evolutionary Routing Game for Energy Balance in Wireless Sensor Networks”, Elsevier Computer Networks Volume 138, 19 June 2018, pp 31 -43, IF 2.516.
  • Omar Nakhila, M. Faisal Amjad, Erich Dondyk, Cliff Zou, “Gateway independent user-side wi-fi Evil Twin Attack detection using virtual wireless clients”, Elsevier Computers & Security, Volume 74, May 2018, Pages 41 -54, IF 2.849.
  • A. Kazmi, Mehreen Afzal, M. Faisal Amjad, H. Abbas, X. Yang, “Algebraic Side Channel Attack on Trivium and Grain Ciphers”, IEEE Access 2017, vol 5 pp 23958 – 23968, IF 3.24.
  • Faisal Amjad, Mainak Chatterjee, Omar Nakhila, Cliff C. Zou, “Evolutionary Non-ooperative Spectrum Sharing Game: Long Term Coexistence for Collocated Cognitive Radio Networks”, Wiley Journal of Wireless Communications and Mobile Computing (WCM) 2016, vol 16 issue 15 pp 2166- 2178, IF 1.899
  • M. Faisal Amjad, Baber Aslam, Afraa Attiah, Cliff C. Zou, “Towards Trustworthy Collaboration in Spectrum Sensing for Ad hoc Cognitive Radio Networks”, Springer Wireless Networks Vol. 22, Issue 3, pp 781-797, 2016. IF 1.584.
  • A. khan, M. Sohaib, M. Faisal Amjad, “High Capacity Multi-Layer Framework for Highly Robust Textual Steganography”, Science International 2016 pp 4451 -4457, IF 1.365.
  • M. Faisal Amjad, Mainak Chatterjee, Cliff C. Zou, “Coexistence in Heterogeneous Spectrum Through Distributed Correlated Equilibrium in Cognitive Radio Networks”, Elsevier Computer Networks (COMNET), Vol. 98, pp 109 -122, 2016. IF 2.516.
  • 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. 1.09 IF.
  • 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. 3.7 IF.
  • 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. 1.6 IF.
  • 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. 1.6 IF.
  • 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].
  • 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].
  • Sabeen Javed, Hammad Afzal, Fahim Arif, Awais Majeed, (2016): Reputation Management System for Fostering Trust in Collaborative and Cohesive Disaster Management. Iternational Journal of Advanced Computer Science and Applications (IJACSA). 7(7). Jun 2016 [ISI-Master List]
  • 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] .
  • 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] .
  • 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, Feb 2014.
  • 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

  • ​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 o​n Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), pp. 313-319. IEEE, 2019.  (Scopus Indexed)
  • 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.  (Scopus Indexed)
  • Naeem Amjad, Muhammad Faisal Amjad, Hammad Afzal, Farrukh Aslam Khan.“A Multi-Classifier Framework for Open Source Malware”.Accepted in Forensics Security, Safety and Trust Management Track 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE). Paris France. June 27-29, 2018. (Scopus Indexed)
  • Aaron Walker, M. Faisal Amjad, Shamik Sengupta, “Cuckoo’s Malware Threat Scoring and Classification: Friend or Foe?”, IEEE Computing and Communication Workshop and Conference, Las Vegas, USA, 2019.  (Scopus Indexed)
  • Tahreem Yaqoob, Faiza Mir, Haider Abbas, Waleed Bin Shahid, M. Faisal Amjad, Narmeen Shafqat, “Feasibility Analysis for Deploying National Healthcare Information System (NHIS) for Pakistan” 19th International Conference on E-health Networking, Application & Services (IEEE HealthCom) 2017. (Scopus Indexed)
  • Afraa Attiah, M. Faisal Amjad, Mainak Chatterjee, Cliff Zou, “An Evolutionary Game for Efficient Routing in Wireless Sensor Networks”, IEEE Globecom 2016, Washington DC, USA. (Scopus Indexed)
  • Afraa Attiah, M. Faisal Amjad, Omar Nakhila, Cliff Zou, “ADP: An Adaptive Feedback Approach for Energy-Efficient Wireless Sensor Networks”, International Conference on Computing, Networking and Communications (IEEE ICNC), February 2016. (Scopus Indexed)
  • Omar Nakhila, M. Faisal Amjad, Cliff C. Zou, “User-Side Wi-Fi Evil Twin Attack Detection Using SSL/TCP Protocols”, IEEE CCNC 2015. (Scopus Indexed)
  • M. Faisal Amjad, Mainak Chatterjee, Omar Nakhila, Cliff C. Zou, “An Evolutionary Game Theoretic Framework for Coexistence in Cognitive Radio Networks”, IEEE GlobalSIP 2014, Atlanta GA, USA. (Scopus Indexed)
  • M. Faisal Amjad, M. Chatterjee, Cliff C. Zou, “Inducing Voluntary Cooperation for Optimal Coexistence in Cognitive Radio Networks: A Game Theoretic Approach”, IEEE Military Communications Conference (IEEE Milcom) 2014. (Scopus Indexed)
  •  M. Faisal Amjad, Baber Aslam, Cliff C. Zou, “DS3: A Dynamic and Smart Spectrum Sensing Technique for Cognitive Radio Networks Under Denial of Service Attack”, IEEE Globecom, Atlanta, Dec. 9-13, 2013. (Scopus Indexed)
  • M. Faisal Amjad, Baber Aslam, Cliff C. Zou, “Reputation Aware Collaborative Spectrum Sensing for Mobile Cognitive Radio Networks”, IEEE Military Communications Conference (IEEE MILCOM), San Diego, Nov. 18-20, 2013. (Scopus Indexed)
  • Baber Aslam, M. Faisal Amjad, Cliff C. Zou, “PMTR: Privacy-enhancing Multilayer Trajectorybased Routing Protocol for Vehicular ad hoc Networks”, IEEE Military Communications Conference (IEEE MILCOM), San Diego, Nov. 18-20, 2013. (Scopus Indexed)
  • M. Faisal Amjad, Baber Aslam, Cliff C. Zou, “Transparent Cross-Layer Solutions for Throughput Boost in Cognitive Radio Networks,” Consumer Communications and Networking Conference (IEEE CCNC), Las Vegas USA, Jan. 11-14, 2013. (Scopus Indexed)
  • Baber Aslam, M. Faisal Amjad, Cliff C. Zou, “Optimal Roadside Units Placement in Urban Areas for Vehicular Networks”, in 17th IEEE Symposium on Computers and Communications (ISCC), Turkey, 2012.  (Scopus Indexed)
  • 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). (Scopus Indexed)
  • 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. (Scopus Indexed)
  • 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. (Scopus Indexed)
  • Mehreen Ahmad, Hammad Afzal, Imran Siddiqi, Behram Khan (2017): “An Expert System for Diabetes prediction using auto tuned Multi-Layer Perceptron”. In Intelligent Systems Conference (IntelliSys 2017), London, UK. ((IEEE) (Scopus Indexed).
  • 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) (Scopus Indexed).
  • Muhammad Samiul Haq, Zeeshan Anwar, Ali Ahsan and Hammad Afzal (2017): “Object Oriented Design Patterns / Framework for Secure Information Systems Development”. In 14th International Bhurban Conference on Applied Sciences and Technology (IBCAST-2017): 10-14 Jan, 2017 Bhurban, Pakistan. (Scopus Indexed)
  • 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. (Scopus Indexed)
  • 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. (Scopus Indexed)
  • Hammad Afzal, Kashif Mehmood (2016): “Spam Filtering of Bi-Lingual Tweets Using Machine Learning”. Accepted in 18th International Conference on Advanced Communication Technologies (ICACT 2016), Korea. ((IEEE Sponsored) (Scopus Indexed)
  • 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) (Scopus Indexed)
  • 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)  (Scopus Indexed)
  • 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. (Scopus Indexed)
  • Zeshan Javed, Hammad Afzal, Sarmad Sadik. (2014). “Biomedical Text Mining for Concept Identification from Traditional Medicine Literature”. In IEEE 8th ICOSST-2014, Lahore Pakistan (Scopus Indexed)
  • Iqra Javed, Hammad Afzal (2014). “Towards creation of linguistic resources for Bilingual Sentiment Analysis of Twitter Data” 19th International Conference on Application of Natural Language to Information Systems. France. (Scopus Indexed)
  • Iqra Javed, Hammad Afzal. “Creation of bi-lingual Social Network Dataset using classifiers” Accepted in 10th International Conference on Machine Learning and Data Mining MLDM 2014 July 21-24, 2014, St. Petersburg, Russia. (Scopus Indexed)​
  • 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. (Scopus Indexed)
  • 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). (Scopus Indexed)
  • 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. (Scopus Indexed)
  • 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 ICACT, Jan, 2013, Korea (Scopus Indexed)
  • 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. (Scopus Indexed)
  • 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. (Scopus Indexed)
  • 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. (Scopus Indexed)
  • 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. (Scopus Indexed)
  • Bilal Rauf, M. Faisal Amjad, Kabeer Ahmed, “Performance evaluation of IEEE 802.11 DCF in comparison with IEEE 802.11e EDCA”, IEEE International Conference for Internet Technology and Secured Transactions 2009.
  • M. Faisal Amjad, A. Qayyum, U. Farooq, ‘Internet connectivity for Mobile Ad hoc Networks employing the Optimized Link State Routing protocol’ published in Conference proceedings of IEEE SoftCom 2003, Italy, Croatia (7 – 10 Sep, 2003).
  • 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. (Scopus Indexed)
  • 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​

Share this story: