Mirza Misbah Mubeen Baig

Position: Research Trainee
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Mirza Misbah Mubeen Baig is scientific assistant to the Chair in Business Administration especially Information and Service Systems (ISS) at Saarland University.

Short Biography

Mirza completed his Bachelor degree in Computer Sciences from one of the top universities in Pakistan “Pakistan Airforce – Karachi Institute of Economics & Technology”, Karachi. He wrote his bachelors thesis in the domain of Image recognition where he worked on introducing secure methods for e-voting systems, he later turned his thesis into two successful publications. Additionally, he is an SAP Certified Development Associate - ABAP with SAP NetWeaver 7.50 (2016). Currently, he is pursuing his Masters in Informatic from the University of Saarland. His topic for Master thesis is related to Machine Learning on edge devices, where he tried to evaluate ‘how machine learning performs on resource-constrained edge devices’. During his master’s, he worked as a student assistant for the chair where initially he was responsible for the Artificial Intelligent based chat bot’s development. After that, he was involved in the development of a distributed software service platform consisting of both device-internal and cross-device networked web applications ‘TUCANA’.

Research Interests

Mirza’s research interest is in Artificial Intelligence and Natural Language Interfaces. He is intended to do his Ph.D. in the domain of Natural Language Understanding, Processing & Interfaces where his focus will be on Query-to-text mapping with different data lakes. Right now, he is working with ‘TUCANA Community’ for bringing more AI applications on Tucana and for it’s possible extensions. Alongside, he is also working on project ‘EVAREST’ where he is responsible for NLI.


Selected Publications:

Alim, M. A.; Baig, M. M.; Mehboob, S. & Naseem, I.

Method for secure electronic voting system: face recognition based approach, Second International Workshop on Pattern Recognition, 2017.
PDF (812 KB) - BibTeX

All Publications:

2017

Alim, M. A.; Baig, M. M.; Mehboob, S. & Naseem, I.

Method for secure electronic voting system: face recognition based approach, Second International Workshop on Pattern Recognition, 2017.
PDF (812 KB) - BibTeX