NUST SEECS

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273
Total Funded Projects
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162
Journals​
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57
Conference
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30
IPs Filled
Research & Innovation

From vision to reality

The National University of Sciences and Technology (NUST), with its mission to transform itself into a comprehensive research-led university, has maintained a focus on technology, innovation and entrepreneurship.

Research & Innovation (R&I) Offices, established in 2011 in line with HEC mandate, work with an aim to establish an ecosystem for innovation centric R&D, its commercialisation, and fostering industry-academia linkages on grounds of mutual benefits. R&I Offices/Centres including Research, Innovation & Commercialisation, Placement, University Advancement and Alumni Offices work under the approved policy – by the NUST Academic Council – since April 2012.

Research Areas

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Generative AI

Generative AI is powered by foundation models (large AI models) that can multi-task and perform out-of-the-box tasks, including summarization, Q&A, classification, and more.

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Internet of Things

To provide a platform to aspiring and motivated minds for conducting scientific research to develop smart indigenous solutions to local problems.

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Smart Agriculture

To conduct research in the areas of smart agriculture. Modern methods of crop monitoring and increasing yields

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Integrated Circuit & Signals (ICS)

To conduct research in the areas of integrated Circuit & Signals

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Intelligent Robotics and Control Systems

To conduct research in the areas of intelligent robotics and control systems.

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Mobile Communicaton and Wireless Networks

To conduct research in areas B5G communication and network

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Quantum and Photonics Communications

To conduct research in the areas of IC design, FPGA, microprocessor design

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Radio Frequency and Microwave

To conduct research in the areas of radio frequency and microwave. In particular antenna design etc.

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Block Chain

Block Chain

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Embedded Systems and FPGA's

To conduct research in Embedded systems and FPGA's

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Artificial Intelligence and Machine learning

To conduct research ar the areas of AI and ML. In particular sub disiplines like Deep Neural Networks, Reinformcement Learning, etc.

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Computational and data Sciences

To conduct research in the areas of Conmputational and data sciences

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AR, VR, Metaverse and gaming

To conduct research in the areas of game theory. Modeing of modern complex systems

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Cloud and Edge Computing

To conduct research in the cloud and edge computing

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Signal and Image Processing

To conduct research in the areas of signal and image processing