About Us
TUKL-NUST Research & Development Center is being established on the model of German Research Center for Artificial Intelligence (DFKI), which serves as a role model for creating world-class on-campus research center for providing pragmatic solutions to the thriving and diverse consumer market. The newly established center will leverage the rich experience and expertise of DFKI and its host institution Technical University of Kaiserslautern (TUKL), Germany to establish a long-term sustainable collaboration between TUKL and NUST. The establishment of the center was approved by Rector NUST on 16/10/2014 via Let No 0972/A106/SEECS/PG/ACAD.
Vision
To become a leading hub for collaborative research & development in Machine Learning & Artificial Intelligence, driven by values of Innovation, and Integrity with primary focus on cultivation of talent & technology.
Mission
Strive to carry out applied research to bring international cutting-edge, technological advancements to Pakistan for solving local problems and to nurture young talent to compete in the international market.
Goals
- To make scientific discoveries that can help solve local problems.
- To innovate in cutting-edge technologies of Artificial Intelligence & Machine Learning.
- To invest in the existing technology and transform them into products and services that would help in socio-economic development of Pakistan.
Our Success Story
From our inauguration in 2015 to 2023, we've covered an awesome journey25+ TUKL Interns were selected for funded internships in EPFL, CERN, Switzerland, Rutgers, DFKI, Germany and more.
SEECS Best Teacher Award 2020
SEECS Best Innovator Award 2020
SEECS Best Researcher Award 2017 & 2021
Owing to Dr. Faisal's teaching excellence and extensive research in Machine and Deep Learning.
Our projects have been one of the most exquisitive FYP Projects in Open House.
Recently we were able to produce 5 publications in 17th IAPR Conference on Document Analysis and Recognition
The main purpose of the workshop was to bring together experts from various application domains to highlight recent research in the Pattern Recognition field and discuss possible future directions and collaborations.