Muhammad Muzammal
Last updated on September 21st, 2020
Qualification | |||
Degree | Year | Majors | University |
Visiting Fellow | 2018 | Data Science | Chinese Academy of Sciences, China |
Ph.D | 2012 | Data Science | University of Leicester, UK. |
MS | 2007 | Data Science | FAST, Islamabad, Pakistan. |
BS | 2005 | Computer Science | International Islamic University, Islamabad, Pakistan. |
Teaching Experience | |||
Designation | From | To | Organization |
Sr. Associate Professor | Jul 2019 | Date | Bahria University, Islamabad. |
Associate Professor | 2016 | Jun 2019 | Bahria University, Islamabad. |
Assistant Professor | 2012 | 2016 | Bahria University, Islamabad. |
Lecturer (On Study Leave) | 2009 | 2012 | Bahria University, Islamabad. |
PUBLICATIONS |
Journal Publications
1 | Ali H. Sodhro, Sandeep Pirbhulal, Muhammad Muzammal and Luo Zongwei: Towards Blockchain-Enabled Security Technique for Industrial Internet of Things Based Decentralized Applications. Journal of Grid Computing, Vol. x, pages x-xx, 2020. (Impact Factor: 2.095) |
2 | Ildar Nourgalive, Qiang Qu, S. M. Hosseini Bamakan and Muhammad Muzammal: Matching User Identities Across Social Networks with Limited Prole Data. Frontiers of Computer Science, Vol. 14, 146809, pages 1-14, 2020. (Impact Factor: 1.105) |
3 | Romana Talat, Muhammad Muzammal and R. Shan: A Decentralized Approach to Scene Completion using Distributed Feature Hashgram. Multimedia Tools and Applications, Vol. 79, pages 97999817, 2020. (Impact Factor: 2.101) |
4 | Romana Talat, Muhammad Muzammal, Qiang Qu, Wei Zhou, Muhammad Najam-ul-Islam, S. M. Hosseini Bamakan and Jiangnan Qiu: A Decentralized System for Green Energy Distribution in a Smart Grid. Journal of Energy Engineering, Vol. x, pages xx-xxx, 2019. (Impact Factor: 1.346) |
5 | Muhammad Muzammal , Romana Talat, Ali H. Sodhro and Sandeep Pirbhulal: A Multi-sensor Data Fusion Enabled Ensemble Approach for Medical Data from Body Sensor Networks. Information Fusion, Vol. 53, pages 155-164, 2020. (Impact Factor: 10.716) |
6 | Muhammad Muzammal, Faima Abbasi, Qiang Qu, Romana Talat and Jianping Fan: A Decentralised Approach for Link Inference in Large Signed Graphs. Future Generation Computer Systems, Vol. 102, pages 827-837, 2020. (JCR 1, Impact Factor: 5.768) |
7 | Romana Talat, M. S. Obaidat, Muhammad Muzammal, Ali H. Sodhro, Zongwei Luo and Sandeep Pirbhulal: A Decentralised Approach to Privacy Preserving Trajectory Mining. Future Generation Computer Systems, Vol. 102, pages 382-392, 2020. (JCR 1, Impact Factor: 5.768) |
8 | Ali H. Sodhro, Zongwei Luo, Gul H. Sodhro, Muhammad Muzammal, Joel JPC Rodrigues, Victor Hugo C. de Albuquerque: Artificial Intelligence-based QoS Optimization for Multimedia Communication in IoV Systems. Future Generation Computer Systems, Vol. 95, pages 667-680, 2019. (JCR 1, Impact Factor: 5.768). |
9 | Ildar Nourgalive, Qiang Qu, S. M. Hosseini Bamakan and Muhammad Muzammal : Matching User Identities Across Social Networks with Limited Profile Data. Frontiers of Computer Science, Vol. 1, pages 1-1, 2019. (Impact Factor: 1.105) |
10 | Li Chen, Dongxin Lu, Menghao Zhu, Muhammad Muzammal, et al.: OMDP: An ontology-based model for diagnosis and treatment of diabetes patients in remote healthcare systems. IJDSN, Vol. 15(5), 2019. (Impact Factor: 1.787) |
11 | Qiang Qu, Ildar Nourgalive and *Muhammad Muzammal: On Spatio-temporal Queries for Blockchain. Future Generation Computer Systems, Vol. 90, pages 1-1, 2019. (*Corresponding Author, JCR 1, Impact Factor: 4.639) |
12 | Ali H. Sodhro, Abdul S. Malokani, Gul H. Sodhro, Muhammad Muzammal and Luo Zongwei: An Adaptive QoS Computation for Medical Data Processing in Intelligent Healthcare Applications. Neural Computing and Applications, Vol. 30, pages 1-12, 2019. (JCR 1, Impact Factor: 4.213) |
13 | Muhammad Muzammal, Qiang Qu and Bulat Nasrulin: Renovating Blockchain with Distributed Databases: An Open Source System. Future Generation Computer Systems, Vol. 90, pages 105-117, 2019. (JCR 1, Impact Factor: 4.639) |
14 | Ali H. Sodhro, Sandeep Pirbhulal, Gul H. Sodhro, Andrei Gurtov, Muhammad Muzammal and Zongwei Luo: A Joint Transmission Power Control and Duty-Cycle Approach for Smart Healthcare System. IEEE Sensors Journal, Vol. 99, pages 1-1, 2018. (Impact Factor: 2.617) |
15 | Hassan Mushtaq, Sajid G. Khawaja, M. U. Akram, Amanullah Yasin, Muhammad Muzammal*, Shehzad Khalid and Shoab A. Khan: A Parallel Architecture for the Partitioning Around Medoids (PAM) Algorithm for Scalable Multi-Core Processor Implementation with Applications in Healthcare. Sensors, Vol. 18(12), 4129, 2018. (*Corresponding Author, Impact Factor: 2.475) |
16 | Adeel M. Syed, M. U. Akram, Tahir Akram, Muhammad Muzammal, Shehzad Khalid and Muazzam A. Khan: Fundus Images-based Detection and Grading of Macular Edema using Robust Macula Localization. IEEE Access, Vol. 6, pages 58784-58793, 2018. (JCR 1, Impact Factor: 3.557) |
17 | Moneeb Gohar, Muhammad Muzammal and Arif ur Rahman: SMART TSS: Defining Transportation System Behaviour Using Big Data Analytics in Smart Cities, Sustainable Cities and Society, Vol. 41, pages 114-119, 2018. (Impact Factor: 3.073) |
18 | Muhammad Muzammal, Moneeb Gohar, Arif ur Rahman, Qiang Qu, Awais Ahmad and Gwanggil Jeon: Trajectory Mining using Uncertain Sensor Data. IEEE Access, Vol. 6, pages 4895-4903, 2017. (JCR 1, Impact Factor: 3.557) |
19 | Muhammad Muzammal and Rajeev Raman: Mining Sequential Patterns from Probabilistic Databases. Knowledge and Information Systems, Vol. 44(2), pages 325-358, 2015. (Impact Factor: 2.00) |
Conference Proceedings
1 | Faima Abbasi, Romana Talat and Muhammad Muzammal: An Ensemble Framework for Link Prediction in Large Signed Graphs. In Proc. IEEE INMIC 2019, pp. 1-6, 2019. |
2 | Romana Talat, Muhammad Muzammal, Moneeb Gohar, Arif ur Rahman and Sandeep Pirbhulal: A Decentralised Disaster Detection Approach Using Image Data. In Proc. 89th IEEE Vehicular Technology Conference (VTC-Spring2019), pp. 1-5, 2019. |
3 | Ildar Nurgaliev, Muhammad Muzammal and Qiang Qu: Enabling Blockchain for Efficient Spatiotemporal Query Processing. In Proc. 19th IEEE International Conference on Web Information Systems Engineering (WISE), Springer-Verlag LNCS, Vol. 11233, pp. 36-51, 2018. (Best Paper Award) |
4 | Bulat Nasrulin, Muhammad Muzammal and Qiang Qu: A Robust Spatio-Temporal Verification Protocol for Blockchain. In Proc. 19th IEEE International Conference on Web Information Systems Engineering (WISE), Springer-Verlag LNCS, Vol. 11233, pp. 52-67, 2018. |
5 | Sadegh Nobari, Qiang Qu, Muhammad Muzammal and Qingshan Jiang: Renovating Watts and Strogatz Random Graph Generation by a Sequential Approach. In Proc. 19th IEEE International Conference on Web Information Systems Engineering (WISE), Springer-Verlag LNCS, Vol. 11233, pp. 348-363, 2018. |
6 | Faima Abbasi, Muhammad Muzammal and Qiang Qu: A Decentralized Approach for Negative Link Prediction in Large Graphs. In Proc. 18th IEEE International Conference on Data Mining (ICDM) Workshops, Singapore, 2018. (Best Paper Award) |
7 | Bulat Nasrulin, Muhammad Muzammal and Qiang Qu: ChainMOB: Mobility Analytics on Blockchain. In Proc. 19th IEEE International Conference on Mobile Data Management (MDM), pp. 292-293, 2018. (Best Demo Paper Award) |
8 | Moneeb Gohar, Muhammad Muzammal, Arif ur Rahman, Jin-Ghoo Choi and Seok-Joo Koh: Extension of Localized Routing to PMIP-SAE based Mobile Networks. In Proc. 87th IEEE Vehicular Technology Conference (VTC), pp. 1-4, 2018. |
9 | Muhammad Muzammal: Test-suite Prioritization using Application Navigation Tree Mining. In Proc. 14th IEEE Frontiers of Information Technology Conference (FIT), pp. 205-210, 2016. |
10 | Romana Talat, Muhammad Muzammal and Imran Siddiqi: Scene Completion using Top-1 Similar Image. In Proc. 14th IEEE Frontiers of Information Technology Conference (FIT), pp. 252-257, 2016. |
11 | Tamim Ahmad Khan, Muhammad Muzammal and Anas Ijaz: On Effectiveness of Fault-seeding using Interaction Patterns. In Proc. 13th Frontiers of Information Technology Conference (FIT), pp. 119-124, 2015 |
12 | Ajab Khan and Muhammad Muzammal: Modelling of VoIP Overlay Routing using Graph Transformation. In Proc. EuroSys, Leicester, UK, 2014. |
13 | Muhammad Muzammal: Mining Sequential Patterns from Probabilistic Databases by PatternGrowth. In Proc. 28th British National Conference on Databases (BNCOD), Springer-Verlag LNCS, Vol. 7051, pp. 118-127, 2011. |
14 | Muhammad Muzammal and Rajeev Raman: Mining Sequential Patterns from Probabilistic Databases. In Proc. 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Springer-Verlag LNAI, Vol. 6635, pp. 210-221, 2011. |
15 | Muhammad Muzammal and Rajeev Raman: On Probabilistic Models for Uncertain Sequential Pattern Mining. In Proc. 6th International Conference on Advanced Data Mining and Applications (ADMA), Springer-Verlag LNCS, Vol. 6440, pp. 60-72, 2010. |
16 | Muhammad Muzammal and Rajeev Raman: Uncertainty in Sequential Pattern Mining. In Proc. 27th British National Conference on Databases (BNCOD), Springer-Verlag LNCS, Vol. 6121, pp. 147-150, 2010. (Best PhD Student Paper Award) |