Hi, I’m Pradeep Kumar, a Professor in Computer Engineering. I started this channel in 2008 to share knowledge and simplify complex technologies for students, professors, and lifelong learners.
On this channel, you’ll find hands-on tutorials, walkthroughs, and insights in areas such as:
AI & Deep Learning
Quantum Computing
Network Simulations (NS2, NS3)
Internet of Things (IoT) with Contiki-NG
Embedded Systems
Open Source Platforms (Linux, Ubuntu, Fedora)
Moodle LMS, Education & E-learning
Personal Productivity Tools & Tips
Whether you’re a beginner or an advanced researcher, you’ll discover practical content that helps you learn faster, build better, and stay future-ready.
📌 Subscribe and join the Engineering Clinic community – From Linux to AI!
Engineering Clinic – From Linux to AI
**🎉 11,000+ FOLLOWERS — 18 YEARS OF ENGINEERING CLINIC! ❤️**
Today is a very special day for me.
**Engineering Clinic has crossed 11,000+ followers!** 🙏🎉
But this is not just about 11K.
It is about a journey that **started way back in 2008**.
**18 years.**
18 years of learning.
18 years of teaching.
18 years of experimenting.
18 years of sharing knowledge.
When I started Engineering Clinic in 2008, I never imagined that it would continue for so many years and become a place where thousands of learners would come to explore technology.
From the early days of **Linux, Networking, NS-2 and NS-3**, the journey gradually expanded into **IoT, Cyber Physical Systems, Deep Learning, Artificial Intelligence, Reinforcement Learning and emerging technologies**.
Technology has changed enormously since 2008.
But one thing has remained the same:
**The passion to learn, experiment and share. ❤️**
To everyone who subscribed, watched my videos, asked questions, commented, shared the content and stayed with Engineering Clinic over the years —
**THANK YOU! 🙏**
Your support has kept this journey alive.
🚀 **And this is not the end. It is another beginning.**
There is much more to learn, experiment and share in the coming days.
**11K today.
18 years behind us.
Many more years of learning ahead!**
💻 **Engineering Clinic**
**Learn • Experiment • Build • Share**
Thank you for being part of this incredible journey. ❤️
#EngineeringClinic #11K #18Years #AI #ArtificialIntelligence #DeepLearning #ReinforcementLearning #CyberPhysicalSystems #ComputerNetworks #IoT #NS3 #Technology #Learning #Teaching
2 days ago | [YT] | 3
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Engineering Clinic – From Linux to AI
Whats new in Pixel 11 compared to Pixel 10. #pixel11 #google #pixel10
4 days ago | [YT] | 2
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Engineering Clinic – From Linux to AI
Simulation of TCP Variants over a High Bandwidth-Delay Product (BDP) Network | NS3 Project 8
www.nsnam.com/2026/06/simulation-of-tcp-variants-o…
2 months ago | [YT] | 3
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Engineering Clinic – From Linux to AI
Please join my channel on WhatsApp for more updates about topics like IoT, AI, GPUs, Macs, NS3, Networks, Wireless networks, E-learning Methodologies, tools and techniques and other computing paradigms..
whatsapp.com/channel/0029Vb7vLtu4NVibXENfVb2y
2 months ago | [YT] | 3
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Engineering Clinic – From Linux to AI
Comparative Analysis of Network Performance Metrics: FTP vs. HTTP Traffic Simulation using NS-3
www.nsnam.com/2026/06/network-performance-of-ftp-v…
2 months ago | [YT] | 1
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Engineering Clinic – From Linux to AI
Simulation of a Hybrid Point-to-Point and CSMA Network using NS3 | NS3 Project 3 www.nsnam.com/2026/06/design-and-simulation-of-hyb…
2 months ago | [YT] | 2
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Engineering Clinic – From Linux to AI
Simulating DropTail vs. RED Queue Disciplines in NS3
www.nsnam.com/2026/06/simulating-droptail-vs-red-q…
2 months ago | [YT] | 1
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Engineering Clinic – From Linux to AI
Performance Comparison of TCP Reno, TCP NewReno, TCP Cubic, and TCP Vegas in NS3 | NS3 Project 1 www.nsnam.com/2026/06/performance-comparison-of-tc…
2 months ago (edited) | [YT] | 1
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Engineering Clinic – From Linux to AI
AI meets ns-3: Launching a 60-day network simulation challenge
Dear Subscribers,
Good morning.
The integration of AI into networking research is changing how we work. Today, Advanced Large Language Models (LLMs) can rapidly generate ns-3 source codes based on complex network designs.
To explore this potential, I am launching a new 60-day experimental series on my blog. I have begun posting a variety of ns-3 source codes entirely generated by AI. I recently assigned these exercises to my students as a digital course assignment to test their practical application. While AI handles the initial source code generation, the crucial steps of manual execution, analysis, graphing, and animation are still driven by the researcher.
Moving forward, a new exercise will be posted every morning for the next 60 days. You can explore the first two mini-projects here:
www.nsnam.com/2026/06/simulating-droptail-vs-red-q…
www.nsnam.com/2026/06/performance-comparison-of-tc…
As a subscriber, you are getting early access to these posts. In the coming weeks, I will also be transforming each of these exercises into detailed video walkthroughs on my YouTube channel, Engineering Clinic.
Please consider subscribing to the channel to stay updated on these simulations and upcoming AI and Deep Learning coding projects: Engineering Clinic YouTube Channel.
Warm regards,
Pradeep Kumar
www.nsnam.com
2 months ago | [YT] | 2
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Engineering Clinic – From Linux to AI
I am in the process of compiling a virtual machine (VMware) with all the modules of ns3, easy to run and simulate. It's only for members. Let me know if there are any simulations you need that can be included. So far, I have compiled the following modules
1. 5G with mmwave
2. ns3 Gym (Reinforcement Learning with TCP)
3. NetAnim
4. NetSimulyzer (3D environment for simulations)
5. Drone simulation that can be viewed using NetSimuylzer.
6. Gnuplot for Plots
7. Flow Monitor.
4 months ago | [YT] | 2
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