Professor Tariq Durrani

Research Professor

Electronic and Electrical Engineering


Knowledge based fundamental and harmonic frequency detection in polyphonic music analysis
Li Xiaoquan, Yan Yijun, Ren Jinchang, Zhao Huimin, Zhao Sophia, Soraghan John, Durrani Tariq
Communications, Signal Processing, and Systems 6th International Conference on Communications, Signal Processing, and Systems, pp. 591-599 (2018)
Copulas for statistical signal processing (part II) : simulation, optimal selection and practical applications
Zeng Xuexing, Ren Jinchang, Sun Meijun, Marshall Stephen, Durrani Tariq
Signal Processing Vol 94, pp. 681-690 (2014)
Copulas for statistical signal processing (Part I) : extensions and generalization
Zeng Xuexing, Ren Jinchang, Wang Zheng, Marshall Stephen, Durrani Tariq
Signal Processing Vol 94, pp. 691-702 (2014)
Institutional accreditation United Kingdom model - Scottish variation : general topics for engineers (math, science and engineering)
Durrani Tariq
International workshop on institutional and programme accreditation (IWIPA) 2011 Institutional and Programme Accreditation (IWIPA) (2011)
Hadamard upper bound on optimum joint decoding capacity of Wyner Gaussian cellular MAC
Shakir Muhammad Zeeshan, Durrani Tariq S, Alouini Mohamed-Slim
EURASIP Journal on Wireless Communications and Networking Vol 2011 (2011)
The glass ceiling : is it a state of mind?
Forbes Sheila, Durrani Tariq
Triple Helix IX: 9th International Conference "SIlicon Valley Global Modal or Unique Anomaly? (2011)

more publications

Research interests

Signal/Image processing and applications


Big Data-Driven Distributed Microseismic Monitoring Method for Hydrofracturing Oil Exploration
Yang, Erfu (Principal Investigator) Durrani, Tariq (Co-investigator) Li, David (Co-investigator) Post, Mark (Co-investigator)
01-Jan-2017 - 31-Jan-2019
Big Data-Driven Distributed Microseismic Monitoring Method for Hydrofracturing Oil Exploration
Yang, Erfu (Principal Investigator) Post, Mark (Co-investigator) Li, David (Co-investigator) Durrani, Tariq (Co-investigator)
This joint-project aims to address the fundamental research challenge related to the development of Big Data-driven distributed microseismic monitoring method for hydrofracturing oil exporation. This research challenge is related to microseismic image information processing and utilization, i.e., how to quickly and efficiently extract and analyze the information of interest for oil detection, tracking its distribution/storage from distributed data/images acquired by a huge number of sensors deployed across the oil field, through either fixed locations or autonomous vehicles platforms, such as unmanned ground vehicle (UGV). To address this challenge faced by the O&G industry, this joint project is focusing on novel Big Data-driven solutions which can integrate distributed data filtering, intelligent analytics and machine learning techniques to offer unique benefits in terms of its ability to bring in data from multiple and distributed sensing sources and provide a full suite of descriptive, predictive and prescriptive analytics.
31-Jan-2017 - 31-Jan-2019
Feature Fusion based on Abnormal Activity Detection in Crowded Scenes (2016 China NSFC Costshare)
Durrani, Tariq (Principal Investigator)
31-Jan-2017 - 31-Jan-2019
Geophysical Signal Processing, Oil and Gas Detection, Sensor Networks
Durrani, Tariq (Principal Investigator)
17-Jan-2017 - 16-Jan-2019
Cognitive Neuroscience-Inspired Information Integration in Heterogeneous Wireless Sensor Network
Durrani, Tariq (Principal Investigator)
01-Jan-2014 - 31-Jan-2018
System Risks In Information-Rich Environments: Monitoring For Safe And Cost-Effective Operation (Bridging The Gap) / RA4436
Durrani, Tariq (Principal Investigator)
29-Jan-2009 - 30-Jan-2010

more projects


Electronic and Electrical Engineering
Royal College Building

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