Imrana Yari Abdullah

Imrana Abdullahi Yari, M. Sc.

Researcher & PhD Candidate

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

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

Research Focus

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 patients’ edge devices, while allowing the individual device owners to take control of their data, are of increasing relevance. This paradigm shift is aligned well with large-scale efforts to re-decentralize the internet (e.g., Solid project by Tim Berners-Lee) and promises 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 the internet experiences. In P2P PHS, data will not only be in isolated, heterogeneous, and distributed environments but also pose new challenges 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 protocols and trust reputation systems 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.

Curriculum Vitae

Since 07/2022 Security Engineer 

Carl Zeiss Meditek AG, ZEISS Group, Jena

Since 10/2020 Research Associate 

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” 

Publications

2023

2022

2021

2019

2017

2014

Awards

  • 01/2021: Best Paper Award at the HICSS-54 Conference, January 4 – 8, 2021, Hawaii, USA
  • 09/2018 – 03/2021: Merit Postgraduate Scholarship at PhD Level from German Academic Exchange Service (DAAD)
  •  Issued by Kaduna Electricity Distribution Company (KAEDCO), Kaduna, Nigeria
  • 09/2015 – 02/2017: Merit 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

Teaching

Student theses

[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 Systems: Conveniency and Security Digital Health, Information Security
21002 B / M Application of Federated Learning in Decentralized Health Care Information Systems: Systematic Review and Framework Proposal Digital Health, Federated Machine Learning, Information Security