Dr. Muhammad Asfand e Yar

Associate Professor^ Head AI Enabling Technologies%

Designation(s): Associate Professor (CS)
Department(s): Computer Science, AI Enabling Technologies Research Center
Research Interests: Semantic Data Engineering, Data Analytics, Ontology Modelling, Text mining, Natural language Processing, Machine Learning
Email: asfandeyar.buic@bahria.edu.pk
Contact: +92 (051) 111 111 028

Muhammad Asfandeyar is associated with Bahria University Islamabad as an Assistant Professor of Computer Science and Head, AI Applied Technologies Research Center, Wing Natural Language Processing. Previously, he has been associated with CSIT, University of Engineering Technology, Peshawar, and NUCES FAST, Peshawar, Pakistan. Asfandeyar received a Ph.D. in Computer Science from Vienna University of Technology, Vienna, Austria in 2011 and a Bachelor’s (BS (CS)) and Master’s degree (MS) from International Islamic University, Islamabad, Pakistan. After his Ph.D. in Computer Science, he did 2 Post Docs both earned by winning the scholarship. His first postdoc was with SBA Secure Business Austria, Vienna, Austria. His task was to design an Ontology Model for the Digital Rights Management Systems. It was a project on banking systems in Austria. The second post-doc was from ERCIM Maria Swarovski. He was assigned tasks to integrate the data of Building Information Management (BIM) and Building Location Information. It was a project of Masaryk University, Brno, Czech Republic. His research interests include data analytics, natural language processing, semantic web (ontologies), and deep (machine) learning techniques. Currently, he is supervising various projects for under-graduate and post-graduate programs.

Projects

Project and grants

Advance Search for Legal Documents using Deep Learning Interpretations – Text Classification and Integrating Semantics. (PI), NRPU, Higher Education Commission, Pakistan, 2022 – Present, Funding Amount: PKR 2.34 million.

Student Supervision

Masters Students

Sadaf Aftab, Cyberbullying detection using Neural Network, (In progress)
Ayesha Shah, Prediction of judgments according to the given cases using ML and NLP algorithms, (2022)
Qadeer Hashir, Classifying misinformation at social media using supervised learning, (2022)
Osama Sohail, Statistical Anomaly Based Intrusion Detection System for Software-defined Networking using Machine learning Classifiers, (2022)
Waqar Kaleem, Predicting Drug Chemical Interactions Using Deep Learning, (2021)
Amina Ilyas, Meaningful Data Retrieval of Legal Cases, (2020)
Sobia Dastageer, Title Generation of Talk shows, (2020)
Hira Tauseef, Supervised Vs Unsupervised Method for Extractive Summarization Of Text, (2020)
Maha Butt, Semantic-based classification of trademark cases using Naïve Bayes & SVM, (2019)
Sadaf Shahid, Legal text document (i.e. Trademark Ordinance) categorization using Ontology, (2019)
Muhammad Hassan Abbas, Identification of Author – Based on semantics and syntactic features (2019)
Muhammad Arsalan, Evaluation of Machine learning Frameworks using theoretical and empirical parameters, (2019)
Muhammad Wajahat Abbasi, Analyzing Taxation Data Using Machine Learning Techniques, (2019)
Saeed Ur Rahman, Approaches for broken links recovery in information retrieval (2018)
Ali Raza, Determining the intended time of implicit temporal queries, (2018)
Afnan Siddique, Ontology Model for Web Development Frameworks, (2018)
Masooma Zahra, Classifying Sports News to Improve Search Engine using Web Ontology Language (OWL), (2018)
Muhammad Zeeshan Javad, RDF Timestamp; A Plug-in for Ontology OWL, (2017)
Samia Mushtaq, Business Migration Ontology, (2017)
Sabahat Ashfaq, An Ontology Base Integration of Web Analytics Data in E-Commence, (2017)
Ramis Ali, V-Link: A Naïve Approach to Link Heterogenous Datasets, (2017)
Iqra Rustam, An Ontology Model Approach for Cloud Service Level Agreement (SLAs), (2017)
Naveed Khan, Detecting of Cooperative Blackhole attack in MANET, (2016)
Ijaz Ahmad, Sink-to-Sink Coordination Framework for Enhancing Network Performance in IEEE 802.15.4 Cluster Tree, Islamabad, (2016).

Publications

Journal Publications

Yasmeen, U., Khan, M, A., Tariq, U., Khan, J, A., Asfand-E- Yar, M. (2022). Citrus Diseases Recognition Using Deep Improved Genetic Algorithm (CMC Tech Science), 3667-3684.

Hussain, N., Khan, M, A., Tariq, U., Kadry, S., Asfandeyar, M., (2022). Multiclass Cucumber Leaf Diseases Recognition Using Best Feature Selection (CMC Tech Science), 3281-3294.

Majid, A., Khan, M, A., Alhaisoni, M., Asfandeyar, M. (2022). An Integrated Deep Learning Framework for Fruits Diseases Classification (CMC Tech Science), 1387-1402.

Asfand-e-yar, M., Ali, R. (2020). Semantic Integration of Heterogeneous Databases of same Domain using Ontology (IEEE Access), 77903-77919.

Asfand-e-yar, M., Ali, R., Mushtaq, S. (2020). Semantic Classification of Business Ontology while Migrating Business (Multimedia tools and Appilcation-SPRINGER), 17903–17921.

Henna, S., Sajeel, M., Bahir, F., Asfand-e-yar, M., Tauqir, M. (2017). A Fair Contention Access Scheme for Low-Priority Traffic in Wireless Body Area Networks (MDPI Sensors) 1- 21.

Lodhi, M, A., Khan, M, M., Rahman, A., Asfand-e-yar, M., Bahir, F. (2017). Transient Multipath routing protocol for low power and lossy networks (KSII Transactions on IIS), 2000-2019.

Zafar, R., Asfand-e-yar, M. (2016). Scheduling on Heterogeneous Multi-core Processors Using Stable Matching Algorithm (IJACSA), 505-509.

Asfand-e-yar, M., Anjomshoaa, A., Weippl, E, R., Toja, A, M. (2010). Exploiting Ontology for Software License Agreements (IJSI) 89-100.

Asfand-e-yar, M., Sher, M. (2004). Secure rout path Formation in Ad hoc On-demand Distance Vector Routing Protocol (ITJ), 142-145.

Conference Proceedings

Rustum, I., Asfandeyar, M. (2022, April). An Ontology Model Approach for Cloud Service Level Agreement (SLAs), International Conference on Business Analytics for Technology and Security, (pp. 1-5). IEEE

Tauseef, H., Asfand-e-yar, M. (2021, September). Extractive summarization of text using Supervised and Unsupervised techniques, International Conference on Natural Language Processing, (pp. 37-41), IEEE.

Multani, M, K., Rahman, A., Asfand-e-yar, M., (2017, April). Partially Online Dynamic Bandwidth Allocation Algorithm for Hybrid TDM/WDM EPON, International conference on Smart Technologies, (pp. 902-906), IEEE.

Paha, R., Asfand-e-yar, M. (2016, March). A Review of Cross-Platform binary compatibility using Dynamic Binary Translation, Proceedings of 1st National Conference on Emerging Trends and Innovations in Computing & Technology.

Asfandeyar, M., Kucera, A., Pitner, T. (2014, February). Smart Buildings: Semantic Web Technology for Building Information Model and Building Management System, International conference on Data and Software Engineering (pp. 1-6). IEEE

Asfandeyar, M., Kucera, A., Pitner, T. (2014, February). Smart Buildings: Semantic Web Technology (Location and Device Information); services for BIM, Proceedings of European IST Projects, The Quest for Excellence Towards 2020 (pp. 78-89). SCITEPRESS.

Asfandeyar, M., Kucera, A., Pitner, T. (2014, February). Semantic Web Technology for Building Information Model, 9th International Conference on Software Engineering and Applications – Enterprise Applications (pp. 109-116). SCITEPRESS.

Asfandeyar, M., Toja, A, M. (2013, March). Using Semantic Web to Enhance User understand-ability for Online Shopping License Agreement, International Conference on Information, Computing and Technology -EurAsia (pp. 233-242), LNCS Springer Verlag.

Ahmad, M., Asfandeyar, M., Anjomshoaa, A., Khan, A., Toja, A, M. (2010, September). Towards an Ontology-Based Solution for Managing License Agreement Using Semantic Desktop, 5th International Conference on Availability, Reliability and Security (pp. 309-314), IEEE.

Asfandeyar, M., Anjomshoaa, A., Weippl, E, R., Toja, A, M., (2009, November). Blending the Sketched Use Case Scenario with License Agreements Using Semantics, 3rd International Conference on Knowledge Science, Engineering and Management (pp. 275-284), LNCS Springer Verlag.