• Deep Learning-based Trajectory Prediction for Autonomous Vehicles 

  Nauman, Muhammad (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  Autonomous driving heavily relies on accurate trajectory prediction to optimize route planning and enhance vehicle safety. Current deep learning-based trajectory models have demonstrated remarkable success on public ...
• Impact Dynamics for Humanoid Robot 

  Jameel, Saad (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  Research on biped robots focuses on replicating human behavior such as walking, jumping, and kicking. The kicking motion, in particular, poses significant challenges due to the need for precise balance and coordination ...
• Gait Generation for a Quadrupedal Robot 

  Khan, Zainullah (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  Quadrupedal robots have gained significant research interest due to their ability to achieve agile and stable locomotion over complex terrains. Such locomotion can be achieved by combining various gaits, however, simply ...
• Fast Marching Trees (FMT*) For Dynamic Motion Planning 

  Sadiq, Muhammad Salman (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  In light of recent advances in autonomous mobile robots, the chance for the robot presence in human domains have increased. To avoid collisions and to compute the optimal path between two points, motion planning has come ...
• Development of Ethical Framework for Metaverse 

  Ahmed, Soban (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  The convergence of virtual reality (VR) and the rapidly evolving Metaverse is transforming how we interact with technology, creating unprecedented opportunities for immersive experiences and novel forms of social ...
• Human Reliability Analysis using AI 

  Abdullah, Muhammad (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  The exponential growth of social media platforms has revolutionized the way information is shared and consumed, leading to the widespread dissemination of both factual and false information. The rapid spread of misleading ...
• Advancing Point Cloud Understanding through SelfSupervised Intra-Modal and Cross-Modal Contrastive Learning 

  Sabih-Ul-Hassan, Muhammad (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  The increasing adoption of 3D data-driven applications such as robotics, autonomous vehicles, and virtual reality has made 3D point clouds a vital form of data representation. However, the intrinsic anomalies and ...
• Breast Cancer Detection through the Introduction of Computer-Aided Diagnosis (CAD) 

  Saleem, Nada (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  Currently, the identification of any anomaly in mammography images presents a lot of challenges, counting the complexity of data patterns, the determination of suitable deep learning algorithms, and the requirement for ...
• Detection and Recognition of Medicine Packaging and Information Using Deep Learning and Computer Vision 

  Rukhsar, Muhammad Khurram (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  Pharmaceutical industry worldwide is worth 1.48 trillion USD [1]. In this industry there is a need for automation, especially in the pharmaceutical industry of the developing world. This thesis investigates the application ...
• Bidirectional Language Agnostic Framework for Sign Language Production and Recognition 

  Ahmed, Mateen (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  This thesis explores the development of an automated SL production system using cuttingedge advancements in natural language processing (NLP) & computer vision. Motivated by the growing need for inclusive communication ...
• THE MATERIAL DECOMPOSITION ANALYSIS BASED ON ML ALGORITHM USING PHOTON COUNTING CT 

  Naseer, Farhat (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  This thesis presents a novel approach to enhancing material decomposition (MD) in medical imaging using the MARS CT scanner. Traditional MD techniques are plagued by issues like computational complexity, frequent ...
• Virtual Reality Headset based Control and Navigation of Drone 

  Javed, Muhammad Mehran (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  Virtual reality is a new technology that has been used globally. Users across the globe are integrating VR into the field of robotics. The integration of Virtual Reality with Unmanned Aerial Vehicles (UAVs) helps users ...
• Railway Track Fault Detection using AI 

  Haroon, Muhammad (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  Railway infrastructure is critical for the safe and efficient transportation of goods and people. However, defects in rail tracks can lead to severe accidents, resulting in significant human and financial losses. This ...
• Augmented Reality Based SLAM 

  Naveed, Izma (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  Motion planning is crucial for helping autonomous robots navigate complex environments efficiently. Recently, Augmented Reality (AR) has been introduced to improve Human-Robot Interaction (HRI) in mobile robot motion ...
• Towards Automatic Weather Classification Using DCNNs 

  Mattia Tun Nabi (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  The utilization of remote sensing (RS) technology has resulted in the extensive accessibility of a significant amount of satellite image data. In order to ensure the successful execution of the RS in real-life scenarios, ...
• Examining the Effectiveness of Virtual Reality in Stress Management 

  Tahir, Sheza (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  Virtual Reality (VR) has emerged as a promising tool in healthcare management, with recent studies exploring its effectiveness in addressing various psychological and physiological disorders. Stress is prevalent in modern ...
• Thermal Mapping of Indoor Building Surfaces 

  Khan, Abdul Hakeem (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  Thermal Scanning of indoor Environments is crucial for System Optimization, Energy efficiency and Human comfort. Utilizing thermal maps generated through a thermal scanning system allows for the Identification of Temperature ...
• Flight Stability of UAV-Manipulator System for Grasping Applications using Sliding Mode Control 

  Sial, Munadi Ahmad (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2024)

  An Aerial Manipulator is a coupled system which consists of a robotic arm attached to the body of a drone. A drone is itself a non-linear system which is linearly approximated to enable PID control. With the addition of ...
• Modeling and analysis of different control techniques on industrial robotic three degree of freedom crane 

  Faisal, Muhammad (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2015)
• Development and testing of rotary unmanned aerial vehicle 

  Ali, Imran Nusrat (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2016)

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