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Imrana Abdullahi Yari, M. Sc.

PhD Candidate

Department of Computer Science
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)

Room: Room 01.020
Carl-Thiersch-Straße 2b
91052 Erlangen

Patient-centered health care information systems (PHS) that leverage the power of Peer-to-Peer (P2P) PHS networks (e.g., Covid-19 proximity trackers) to store health records on any of patients’ edge devices, under the control of device owners are emerging phenomenon of increasing relevance—a new paradigm shift, which is aligned well with large-scale efforts to re-decentralize the internet (e.g., Solid project by Tim Berners-Lee) and promising to support patients in taking ownership of their health data. While such advantages are enormous and may simplify the organizational challenges to implement data regulations, PHS on P2P networks raise concerns that patients have some responsibility in managing information security for their PHS. P2P networks also pose specific security issues while inheriting the same security issues that any other networked application running on internet experiences. For P2P PHS, data will not only be in isolated, heterogeneous, and distributed environments but also pose a new challenge to the conventional data transaction procedures employed in machine learning (ML) today.

My research interests and goals are two-fold: i) investigating the inherent privacy vulnerabilities resulting from security threats for P2P PHS and designing security models such as Identity Authentication Protocol and Trust Reputation System to provide additional security, ii) investigating and designing novel and secure Federated Machine Learning frameworks for edge devices to collaboratively train ML models that patients can benefit from without divulging their medical information to a central entity.

Should you be interested in supervision of your thesis as a student, or possible research collaboration as a researcher or P2P PHS provider, which are relevant to any of my research interests, please do not hesitate to contact me.

Since 10/2020 Research Assistant

Chair of Health Management
Institute of Management, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Since 10/2018 Ph.D. Candidate

Machine Learning and Data Analytics Lab
Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

08/2015 – 10/2018 Web Application Developer and Cyber Security Expert                                                       

Kaduna Electricity Distribution Company, Kaduna, Nigeria

10/2015 – 02/2017 M.Sc. in Information System Security
Sheffield Hallam University, Sheffield, UK
Master Thesis: “Configuring and Evaluating ModSecurity WAF on Tomcat Server”
05/2016 Lead Auditor: ISO/IEC 27001 Training Course                                                                             
BSI Training Academy, Sheffield, UK
05/2016-06/2017 Post-Graduate Mentor
Sheffield Hallam University, Sheffield, UK
11/2016-06/2017 IT Assistant and Email Support
Sheffield Hallam University, Sheffield, UK
11/2016- 05/2017 Graduate Destination Assistant
Sheffield Hallam University, Sheffield, UK
11/2016- 05/2017 Student Ambassador
Sheffield Hallam University, Sheffield, UK
06/2015- 05/2016 NYSC Dispatch Officer                                                                                                               

Cement Company of Northern Nigeria, CCNN, Sokoto, Nigeria

01/2011- 11/2014 Intern System Administrator                                                                                                           

ICT Center, Usmanu Danfodio University, Sokoto, Nigeria

02/2011-09/2014
CISCO Networking Academy Discovery 1-4
03/2010- 10/2014
B.Sc. in Computer Science

Bachelor Thesis: “Design and Implementation of Bus Ticketing System” 

2021

2019

2017

2014

  • 09/2018 – Present : Postgraduate Scholarship at PhD Level from German Academic Exchange Service (DAAD)
  • 09/2016 – 02/2017: Postgraduate Scholarship at Masters Level from Petroleum Technology Development Fund (PTDF)
  • 2016 : Fourth Place Winner at Cyber Security Challenge Sunderland Capture the Flag Event, University of Sunderland, UK
  • 2013 : Fourth Place Winner at ISPON National Software Conference and Competition, Calabar, Nigeria

[B] = Bachelor’s Thesis, [M] = Master’s Thesis

Thesis ID Scope Topic Area
21001 B / M Application of More Elaborate and Hardened Biometric Features in Health Care Information Sytems: Conveniency  and Security Digital Health, Information Security
21002 B / M Empirical and Systematic Analysis: Application of Federated Learning in Health Care Information Sytems Digital Health, Federated Machine Learning, Information Security