Departments

DEPARTMENT OF SCIENCES

HoD's Message

As the Head of the Department of Sciences, I am proud to lead a dynamic and multidisciplinary team dedicated to addressing some of the most pressing challenges of our time. Our degree programs in Bioinformatics and Climate Change are designed to equip students with cutting-edge knowledge and practical skills to make a tangible difference in these critical fields. With access to state-of-the-art laboratories, our students and faculty engage in groundbreaking research, tackling real-world problems with innovative solutions that drive sustainability and progress.

Associate Professor Dr. Muhammad Tariq Saeed

DEPARTMENT OF ENGINEERING

HoD's Message

As head of the department, I am proud to lead a dedicated team of PhD qualified faculty members, each committed to excellence in research, teaching, and mentorship. Our degree programs are designed to equip students with the skills and knowledge necessary to tackle complex engineering challenges. We invite you to explore our academic offerings and research opportunities, and we look forward to engaging with you.

Professor Dr. Mian Ilyas Ahmad
Climate Change & Sustainable Development
Bioinformatics
Systems Engineering
Computational Sciences & Engineering
Program Significance

The Climate Change and Sustainable Development (CCSD) program addresses critical global challenges, focusing on the intricate interplay between human activities and natural systems. Launched in Fall 2023 by five NUST institutes—SINES, USPCAS&E, SCEE, ASAB, and S3H—the program aligns with Sustainable Development Goals (SDGs) to combat biodiversity loss, energy crises, and water scarcity. By promoting innovation and collaboration, the program equips graduates to drive transformative change and shape a sustainable future.

Program Significance

Bioinformatics, combined with genetic data and artificial intelligence, stands at the forefront of the fourth industrial revolution. This revolution is characterized by technologies that integrate hardware and software with biological data, opening vast new horizons for education and employment that will shape our world in the coming decade. The applications of bioinformatics span a broad spectrum, from medicine to agriculture and waste management. This innovative convergence of biology with design and production is anticipated to drive sustainable innovation across numerous industries, potentially generating up to $4.0 trillion annually over the next two decades.

Program Significance

The MS Systems Engineering program at SINES, launched in 2013, is Pakistan’s pioneering interdisciplinary degree focused on the design, integration, and management of complex systems throughout their life cycle. The program equips students with the knowledge to address customer needs, expectations, and constraints, supporting local projects with advanced systems engineering practices. The program offers a comprehensive approach, blending system design principles, project management, operations research, and system validation to develop graduates with strong technical, strategic, and leadership skills.

Program Significance

The Computational Sciences and Engineering program is a flagship offering of the Department of Engineering, providing advanced MS and PhD education tailored to industry and research needs. Aligned with the recommendations of the Society for Industrial and Applied Mathematics (SIAM), the program equips students with cutting-edge skills in computational techniques, numerical simulations, machine learning, and data analytics. This ensures graduates are prepared to address real-world challenges across diverse engineering domains, contributing to groundbreaking advancements in fields such as aerospace, automotive, energy, and technology.

Curriculum and Research

The CCSD program offers MS and PhD degrees with a comprehensive curriculum blending core courses and specialized electives. This multidisciplinary approach integrates environmental, social, and economic dimensions, preparing students to address complex sustainability issues. 

Curriculum and Research

 Our Bioinformatics program offers a well-rounded curriculum that integrates biology, computer science, and data analysis, covering topics such as genomics, proteomics, computational biology, and machine learning applications. Students gain hands-on experience in programming, biological data analysis, and bioinformatics tools through practical labs and projects. Our research focuses on cutting-edge areas, including drug discovery, personalized medicine, and genome editing, driving innovation at the intersection of life sciences and technology.

Curriculum and Research

 The curriculum has been reviewed recently in 2023 and aligned with the latest recommendations from the Systems Engineering Body of Knowledge (SEBoK) and Graduate Reference Curriculum for Systems Engineering (GRCSE). 

Curriculum and Research

 The program’s curriculum is regularly updated to reflect the latest advancements in computational sciences, ensuring a comprehensive and modern educational experience. Students benefit from a strong interdisciplinary approach, engaging in real-world applications and collaborative research with esteemed faculty and industry partners.

Research Focus Areas
  • Energy Policy & Governance 
  • Carbon Emission Monitoring and Tracking
  • Sustainable Urban Development
  • Climate Change & Agriculture
Research Focus Areas
  • Systems  Biology & Network Analysis
  • Computational Drug Design 
  • Data Integration and Multi-omics Approach
  • Artificial Intelligence and Machine Learning in Bioinformatics
  • Bioinformatics and Algorithm Development.
Research Focus Areas
  • Systems Optimization Decision Making
  • Systems Modeling & Simulation
  • Human Factors & Ergonomics in Systems Design
  • Enterprise Systems Engineering & Integration
  • Resilience & Risk Management in Complex Systems
Research Focus Areas
  • High Performance computing and Parallel Computing
  • Machine Learning & AI in Systems
  • CFD & Multiphysics Simulations
  • Computational Materials Science 
  • Data Driven Computational Modeling & Simulation