Condition Monitoring Lab, NCRA, MUET

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Condition Monitoring Lab, NCRA, MUET Condition Monitoring System Lab MUET is a part 11 labs consortium established under umbrella of “The National Center for Robotics and Automation.”

30/08/2026

2021 سے اگست 2026 تک پاکستان میں ٹرینوں کے پٹری سے اترنے کے واقعات

🇵🇰 100K+ Views — 1 Minute That’s Touching Hearts Across Pakistan & Beyond ❤️Grateful to see this Independence Day tribut...
14/08/2026

🇵🇰 100K+ Views — 1 Minute That’s Touching Hearts Across Pakistan & Beyond ❤️
Grateful to see this Independence Day tribute cross 100,000 views — a reminder that messages of humanity and hope truly resonate.
This one-minute video blends my poetry with real moments from SOS Villages & orphanages — where I’ve witnessed something powerful:
✨ Children with the brightest smiles and the strongest dreams.
💡 The real strength of Pakistan is not in status, but in compassion, education, and care for every child.
🎙️ Voice: Saqib Abro
✍️ Poetry: Prof. Dr. Bhawani Shankar Chowdhry
👉 Take 60 seconds. Watch. Reflect. Share.
Let’s make this message reach every heart that believes in a better tomorrow.

Bhawani Shankar Chowdhry / Mehran University of Engineering and Technology



In this Independence Day tribute, I share my poetry alongside cheri...

Team NCRA-CMS Lab MUET wishes Happy Independence Day to all. Pakistan Zindabad.
13/08/2026

Team NCRA-CMS Lab MUET wishes Happy Independence Day to all. Pakistan Zindabad.

Double celebrations for Pakistan today! As we celebrate the blessings of Eid-ul-Adha and honor 75 years of unbreakable P...
26/05/2026

Double celebrations for Pakistan today! As we celebrate the blessings of Eid-ul-Adha and honor 75 years of unbreakable Pak-China friendship

NCRA-CMS Lab at Mehran UET reaffirms its commitment to research and innovation.

We believe that shared joy and shared responsibility pave the way for potential future technologies. Eid Mubarak to all! 🌍💚

Happy 1st of May,  !
01/05/2026

Happy 1st of May, !

Today is an opportunity to reflect on the importance of individual and collective actions to protect our planet.
22/04/2026

Today is an opportunity to reflect on the importance of individual and collective actions to protect our planet.

Research Contribution in EEG-Based Emotion RecognitionWe are pleased to share work of our researcher Engr. Muhammad Khal...
17/04/2026

Research Contribution in EEG-Based Emotion Recognition

We are pleased to share work of our researcher Engr. Muhammad Khalid titled “EEG Based Emotion Recognition”, conducted at the National Center of Robotics and Automation (NCRA-CMS), Mehran UET.

This study explores how Electroencephalography (EEG) signals can be used to detect human emotions such as happiness, sadness, and anger using a non-invasive approach. By utilizing the Mindwave Mobile sensor, we analyzed brain signal patterns and applied advanced signal processing techniques including Fast Fourier Transform (FFT) and Butterworth filtering.

Engr. Khalid’s work focuses on extracting meaningful features from alpha and beta frequency bands, and interpreting emotional states using the valence-arousal model. The results highlight promising applications in:

- Mental health monitoring
- Stress and anxiety management
- Assistive technologies
- Therapy support (e.g., music therapy)

We also acknowledge this valuable collaboration and contributions of co-authors from Mehran UET and international partners.

An article published in Engineering Review Magazine regarding the successful PhD completion of Dr. Yahya S. Junejo in th...
05/04/2026

An article published in Engineering Review Magazine regarding the successful PhD completion of Dr. Yahya S. Junejo in the specialized field of 5G Railway Communication.

Mr. Junejo’s doctoral research represents a great achievement for international academic partnership. The work was conducted under a prestigious joint supervision arrangement between MUET, Pakistan, and Lakehead University, Canada. This partnership was formalized in 2022 through a Memorandum of Understanding (MoU) under the NCRA-CMS Lab MUET initiative.

By bridging the expertise of two continents, the project allowed for unprecedented access to state-of-the-art 5G laboratory facilities and advanced research infrastructure in both nations.

The PhD thesis, titled "Improving Handover Management in High-Speed Rail Communications," addresses one of the most important challenges in modern telecommunications: maintaining seamless, high-speed data connectivity for passengers and operational systems on rapid transit networks.

As the world moves toward smarter transportation and high-speed rail, Mr. Junejo’s research provides critical insights into enhancing the reliability and efficiency of next-generation wireless systems. This work is expected to have a lasting impact on how smart cities and transportation hubs manage 5G handovers in high-mobility environments.

The research was guided by a distinguished panel of experts, reflecting the importance of cross-border mentorship:

Prof. Dr. Faisal Karim Shaikh: Chairman, Telecommunication Engineering Department, MUET.

Prof. Dr. Bhawani Shankar Chowdhry (SI): Distinguished National Professor, MUET.

Dr. Waleed Aijaz: Head of the Wireless Communication & Networks (WCN) Research Group, Lakehead University.

The success of this program was further bolstered by support from several international funding bodies, including the ICTEF4SD, Mitacs Globalink, the Graduate Research Assistant (GRA) funding, and the Natural Sciences and Engineering Research Council of Canada (NSERC).

Suggested Masters Thesis Research areas in the field of "Railway Track Condition Monitoring:NCRAAI - MUET✍️Towards Zero ...
29/03/2026

Suggested Masters Thesis Research areas in the field of "Railway Track Condition Monitoring:
NCRAAI - MUET

✍️Towards Zero Accidents: Intelligent Railway Track Condition Monitoring Framework

✍️Smart Railway Track Condition Monitoring Using AI and IoT for Safer Transportation

✍️Edge AI-Based Predictive Maintenance for Railway Track Health Monitoring

✍️Intelligent Railway Infrastructure: Real-Time Track Fault Detection and Analytics

✍️Next-Generation Railway Safety: AI-Driven Track Condition Monitoring Systems

✍️IoT-Enabled Railway Track Monitoring for Early Fault Detection and Accident Prevention

✍️Digital Twin and Predictive Analytics for Railway Track Health Management

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