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Personal profile

Overview

Full Member of EPSRC Peer Review College

Senior Member of IEEE

Fellow of Higher Education Academy

 

Dr Zeeshan Pervez received his doctorate degree from the Department of Computer Engineer, Kyung Hee University (KHU), South Korea, in 2013. He was award with Presidential Scholarship Award for his doctorate degree. During his doctorate, he worked on secure integration of cloud computing with wireless sensor networks, which later evolved to Internet of Things (IoT). In his doctorate, he proposed privacy-aware access control policies for public cloud storage services, ensuring security and privacy of private data outsourced to public cloud service providers. Followed by this, he proposed privacy-aware relevant data access, ensuring complete end-to-end privacy of collaborative cloud storage services. For his seminal work in oblivious computation in untrusted networks he was awarded with KHU Research Award. He was also awarded with KHU Departmental Research Award to collaborate with Computer Science Research Institute, University of Ulster, United Kingdom to work on secure cloud based ambient assisted living platform. From his doctorate and onward he has authored 50+ scholarly outputs cited over 320 times in peer reviewed conferences and journals.

During his postdoctoral fellowship at Ubiquitous Computing Laboratory (UC Lab) KHU, he led the Cloud Security Group, and worked on a collaborative project between UC Lab and Seoul Saint Merry Hospital, South Korea. He designed and implemented data anonymisation methodologies for publishing clinical data whist ensuring data usability. He also led a project funded by Microsoft Asia to process anonymised clinical data to promote healthy living among diabetes patients using Microsoft Azure Platform. For his work on cloud storage security and privacy, he was invited to deliver five guest lectures in national and international events. 

From September 2013 and onward he has been working as a Lecturer with School of Engineering and Computing, University of the West of Scotland (UWS). At UWS has been involved in various UK/EU and international funded projects. He is principle investigator of SFC funded project on cybersecurity - investigating social media trends to combat cyberattacks in next generation networking technologies.  He is leading Microsoft Asia funded project on privacy-aware IoT stream integration using device-to-cloud telemetry. He is also leading a project funded by Research Incentive Fund at Zayed University, United Arab Emirates to develop methods for secure and privacy-aware curation of IoT data streams.

From October 2014, he has been working as UWS coordinator for EU SmartLink and involved in gLink project – collaboration between 17 EU and 19 South Asian Universities. These projects investigate the usage of smart and green technologies e.g., IoT, Big Data, Next Generation Networks, for transports, infrastructure monitoring, public health management, and communication. He is also co—investigator for EU Erasmus+ International Credit Mobility between UWS and National Polytechnic School of Algeria, Algeria.

He is an active member of Artificial Intelligence, Visual Communication and Networks (AVCN) research centre at UWS. AVCN has grown to a hub of cutting edge research for Cloud Computing, IoT and Big Data, Software Defined Networks, Visual Communications, to name a few. AVCN has a proven track record of leading national and international projects from European Commission, Research Councils UK, Innovate UK, Scottish Funding Councils, Scottish Innovation Centres to name a few. Most recently,

He has organised a special session on IoT for privacy-aware smart and connected services in SKIMA 2015 conference which received an overwhelming response from the research community.

He is leading two postgraduate programs on MSc Advanced Computing (IoT and Big Data) and MSc Information and Network SecurityMSc Advanced Computing has successfully secured multiple studentships from the Scottish Funding Council via The Data Lab, for IoT and Big Data specialised streams. 

Area of academic expertise - outline

Internet-of-Things: security & privacy; data driven services

Cybersecurity: proactive measures; threat intelligence; vulnerabilities & attacks

Data Anonymization: mixed data, data imputation, data usability measures

Data Stream Processing: privacy & trust, frameworks, data science pipelines

Secure Cloud Services: encrypted data search, privacy-aware sharing, collaborative services  

Other areas of expertise available for knowledge exchange

Cloud computing

Data security & privacy

Network security

 

Target collaborative companies

Healthcare service providers (products, services, platforms)

Data intelligence (data management & processing, big data frameworks, data science)

IT companies (security & privacy, services, web & mobile apps)

External positions

Postdoctoral Fellow, Kyung Hee University

Jan 2013Jul 2013

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2008 2018

A fuzzy-based throughput prediction for wireless communication systems

Olaleye, M., Dahal, K. & Pervez, Z. 20 Sep 2018 2018 Innovations in Intelligent Systems and Applications (INISTA). Yildirim, T., Manolopoulos, Y., Angelov, P. & Iliadis, L. (eds.). IEEE, 7 p. 08466273

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Communication systems
Throughput
Cognitive radio
Radio systems
Fuzzy logic

Dual-mode round-robin greedy search with fair factor algorithm for relief logistics scheduling

Mishra, B., Dahal, K. & Pervez, Z. 1 Feb 2018 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2017 . IEEE, p. 1-7

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Disasters
Logistics
Scheduling
Earthquakes

Efficient computation of image moments for robust cough detection using smartphones

Hoyos Barceló, C., Monge-Álvarez, J., Pervez, Z., San-Jos´e-Revuelta, L. M. & Casaseca, J. P. 1 Sep 2018 In : Computers in Biology and Medicine. 100, p. 176-185 10 p.

Research output: Contribution to journalArticle

Smartphones
Cough
Health
Pulmonary diseases
Application programs

K-VARP: K-anonymity for varied data streams via partitioning

Otgonbayar, A., Pervez, Z., Dahal, K. & Eager, S. 31 Oct 2018 In : Information Sciences. 467, p. 238-255 18 p.

Research output: Contribution to journalArticle

K-anonymity
Data Streams
Merging
Partitioning
Partition

Priority-index based multi-priority relief logistics scheduling with greedy heuristic search

Mishra, B., Adhikari, T., Dahal, K. & Pervez, Z. 4 Dec 2018

Research output: Contribution to conferencePaper

Logistics
Scheduling
Disasters
Availability

Prizes

Associate Member of EPSRC Peer Review College

Zeeshan Pervez (Recipient), Nov 2016

Prize: Appointment

Full Member of EPSRC Peer Review College

Zeeshan Pervez (Recipient), Jun 2017

Prize: Appointment

Activities 2013 2017

  • 6 Invited talk

Oblivious Computation for Public Cloud Storage Services

Pervez, Z. (Invited speaker)
20 May 2013

Activity: Invited talk

Access Control in Public Cloud Storage Services

Pervez, Z. (Invited speaker)
30 May 2013

Activity: Invited talk

Data Privacy in Public Cloud Storage Services

Pervez, Z. (Invited speaker)
29 Oct 2013

Activity: Invited talk

Access Control Methodologies within Untrusted Domain

Pervez, Z. (Invited speaker)
13 May 2013

Activity: Invited talk

Profiles

Electrocardiography
Electroencephalography
Learning systems
Electromyography
HTTP
Video streaming
Learning systems
Servers
Availability