Zohaib Riaz

Associate Professor of Practice
College of Electrical & Mechanical Engineering
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About

Dr. Zohaib Riaz is working as Associate Professor of Practice in the College of Electrical & Mechanical Engineering. Dr. Zohaib Riaz has a PhD in Distributed Systems . Dr. Zohaib Riaz has published 1 research articles & conference papers, carried out 0 projects and filed 0 intellectual property.

Research Tags

Research Projects

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Industry Projects

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Amount Granted

0.0 M

Publications

1

Citations

0

Intellectual Property

0
Publication Types
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Research Collaborators

Collaborator Image

Danish Hussain

School of Mechanical & Manufacturing Engineering
1 Collaboration
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Ali Hassan

College of Electrical & Mechanical Engineering
1 Collaboration
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Anas Bin Aqeel

College of Electrical & Mechanical Engineering
1 Collaboration
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Farhan Hussain

College of Electrical & Mechanical Engineering
1 Collaboration

Education

PhD Distributed Systems 2013- 2018
Universität Stuttgart , Germany
MSc Embedded Systems Engineering 2010- 2013
Universität Stuttgart , Germany
BSc Mechatronics 2005- 2009
NUST, Islamabad , Pakistan

Experience

Associate Professor of Practice 2024- Present
College of Electrical & Mechanical Engineering , NUST
Software Systems Engineer 2022- 2023
Maanz AI, Islamabad , F7, Islamabad ,
Software Function Developer 2019- 2022
Robert Bosch GmbH , Stuttgart, Germany ,
Student Research Assistant 2012- 2013
Fraunhofer Institute of Manufacturing and Automation IPA , Stuttgart, Germany ,
Intern Microcontroller Programming 2012- 2012
Microcontroller Competence Center, Fujitsu Semiconductor Europe , Langen Hessen, Germany ,
Student Research Assistant 2011- 2012
IKFF, University of Stuttgart , Stuttgart, Germany ,
Student Research Assistant 2011- 2012
ISYS, University of Stuttgart , Stuttgart, Germany ,
Lab Engineer 2009- 2010
Department of Mechatronics, EME, NUST , Peshawar Road, Rawalpindi ,

Awards

Memberships

No project records found for this faculty member
1
Research Articles
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Conference Proceedings
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Books
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Editorial Activities
Edge deployable lightweight framework for real-time driver safety system with integrated lane departure and traffic sign recognition 2026
HA
Hassaan Ali Qureshi
Danish Hussain
Ali Hassan
AO
Aon Safdar (University College Dublin)
Anas Bin Aqeel
MU
Muhammad Rafique (Harbin Institute of Technology)
Zohaib Riaz
Farhan Hussain
Journal: Machine Vision and Applications, Volume 37, Article Number 61
Impact Factor: N/A Citations: 0 Quartile: 3
SDG 9 SDG 11
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0
Total Supervisions
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