Interdisciplinary Success
Interdisciplinary success is measured by the following ways:
1. Publications and Citations
It is evaluated on the number of peer-reviewed articles, conference papers, and citations that result from collaborative work across disciplines.
Publication Metrics: (www.usp.edu.pk/research-development/publications/)
2. Grants and Funding
How much funding is awarded to interdisciplinary projects? It includes internal as well as external research grants.
- Interdisciplinary research projects funding from IGNITE, (IGNITE Projects Detailed) government agency
- Received funding on 5 interdisciplinary research projects.
- Pakistan Information Technology Board
- Research Consultancy Projects (City Lubricants, Hassan Traders)
- Eglimpse: for blind person
- Irrigation: Tech Smart irrigation system
- Smart Parking Mall Next Generation Parking monitoring System
- Sensing place and predict direction to go
- Gesture based automated wheel chair
3. Interdisciplinary Collaborations
Collaboration between different departments.
- NAMSEOUL University South Korea & University of Southern Punjab, Multan, Pakistan
- The Rayyan Motors & University of Southern Punjab, Multan, Pakistan
- The Faisal Movers & University of Southern Punjab, Multan, Pakistan
- The Adeel Cloth Pvt Ltd & University of Southern Punjab, Multan, Pakistan
- The Tipu Motors & University of Southern Punjab, Multan, Pakistan
- Southern Business School, USP, Multan, Pakistan & Department of Computer Science and IT USP, Multan, Pakistan
- Southern Business School, USP, Multan, Pakistan & Department of Fine Arts USP, Multan, Pakistan
- Southern Business School, USP, Multan, Pakistan & Department of Mass Communication USP, Multan, Pakistan
- Mainstream Associate of Person with Disabilities Multan & University of Southern Punjab Multan (USP)
- ACCA Approved Employer – Trainee Development, Gold & University of Southern Punjab Multan (USP)
4. Policy and Practices
Changes as per requirements in policy, practices, or technological innovations are made to improve interdisciplinary research.
5. Awards and Recognition
Awards are given for outstanding interdisciplinary work.
6. Innovations
Success is measure by the development of new technology or products.
This project develops a smart, IoT-controlled grass mower
powered by a solar PV panel. Unlike traditional gasoline based mowers, this device uses
renewable energy, featuring a BLDC motor, adjustable blade positioning, sensors, and an ESP 32 controller for efficient operation. The IoT integration allows users to remotely manage blade height and monitor operation through Android app, making it a sustainable and precise grass cutting solution. Traditional electric grass cutters typically consume 1 kWh of electricity per hour of operation. Using solar power for grass cutter could potentially result in savings in electricity consumption per grass cutter per week. Solar power is clean and emits no greenhouse gases. By transitioning to solar energy, Pakistan can significantly reduce its carbon footprint. This methodology has broad applications, including golf clubs, playgrounds, hospital lawns, and restaurant lawns, with benefits such as reduced operator costs, energy savings, minimized noise pollution, and enhanced environmental sustainability.
This project endeavors to design a “Hand Gesture Controlled
Robotic Arm” that leverages the power of machine vision to recognize and interpret hand
gestures, enabling precise control of a robotic arm for various applications. In an increasingly
automated world, such a system holds promise for enhancing human-machine collaboration
and providing innovative solutions in diverse fields. The core component of this project is a camera-based system capable of capturing real-time user’s hand movements. These visual inputs are then processed by a sophisticated computer vision algorithm, which identifies and tracks the hand gestures with a high degree of accuracy. This algorithm translates the detected
gestures into actionable commands that control a robotic arm’s movements and functions. The Hand Gesture Controlled Robotic Arm has potential applications in industries such as manufacturing, healthcare, logistics, and assistive technology.
The Next-Generation IoT-Based Smart Parking System automates parking management using advanced IoT technology. It addresses challenges like space availability, security, and real-time monitoring. Equipped with sensors, RFID, and a live streaming camera, it helps drivers find parking spots and allows administrators to manage spaces efficiently. The system provides real-time slot updates on an entrance LCD, automated barrier control, and a simple payment process via RFID scanning. Additionally, the live-streaming feature enhances security and convenience by enabling remote parking area monitoring.
This project aims to develop a smart irrigation system using the Node MCU platform. It automatically waters plants based on soil moisture levels and connects to the internet for remote control through a smartphone app. Farmers can monitor and manage their fields from anywhere, reducing manual work and ensuring healthy plant growth. The system provides real-time monitoring, easy access, and requires minimal maintenance. Overall, it improves efficiency and makes agricultural irrigation more convenient.
The proposed system aims to develop an automated wheelchair controlled by gestures while detecting obstacles in its path. It should provide simple control mechanisms and ensure safety through obstacle detection. Proper use of the gesture module is essential for accurately reading inputs. Additionally, real-world testing and validation will confirm the system’s functionality and safety in different environments and situations. The main goal is to improve the mobility and independence of individuals with mobility impairments.
´The main goal of the Vision Vista project is to create an innovative wearable device that improves the quality of life for people with visual impairments. This device will use advanced technology for real-time object recognition, text-to-speech conversion, and obstacle detection. It will help visually impaired individuals move around their environment independently and with confidence.
The first version of “South Robo Predicting Other Objects Side by Tracking Movement” was designed to avoid obstacles without a pre-planned route or destination. It operated with the press of a button, allowing free movement in any direction while avoiding obstacles. The current project is developed to detect specific locations and execute commands to navigate toward designated points like A, B, C, or D. It enables efficient route planning and accurate navigation to target destinations. This system is designed to understand its surroundings and move intelligently toward specified locations.
7. Education Programs
Development of educational programs that foster interdisciplinary learning and research.
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