Muhammad Muzammal
Category: Faculty
Published on: January 7, 2015
Last updated on September 21st, 2020

 

 

PERSONAL INFORMATION
Name Muhammad Muzammal
Email mmuzammal.buic@bahria.edu.pk
Designation Head of Department /
Sr. Associate Professor
Phone +92 (0)51 9260002 ext. 1341
Research Area Data Science, Blockchain
Number of Publications 35
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)