Mode of the LAB Workshop: IN – PERSON at IISER Bhopal
Kindly fill the registration form attached below. Payment link will be sent to the eligible candidates.
Haroon Lone has been an Assistant Professor at IISER Bhopal since June 2021. He works in the system's domain, and his research focuses on using IoT and data analytics to solve research problems in applied domains such as Healthcare. He has a Ph.D. in CSE from IIIT Delhi. Before joining IISER Bhopal, he spent one year each at the University of Virginia and the University of South Dakota as a Postdoc and Visiting Assistant Professor, respectively.
| Name | Description |
| Demonstrate how to connect sensors to a microcontroller | Introduction to the ESP32 development board, Breadboard, Sensors, and programming IDE (e.g., Thonny, Mu Editor). Simple experiments to (i) connect LED and other components on the breadboard with and without a microcontroller. (ii) understand the serial input/output |
| Demonstrate how to control sensors programmatically (via Micropython) | Teach basic programming constructs (if-else, loops, control statements, debugging, etc.). Perform experiments with a microcontroller to (i) control circuit with a relay (ii) Use PIR sensor (iii) Pushbuttons (iv) Ultrasonic sensor |
| Demonstrate how to store IoT data on a cloud platform | Introduction to cloud platforms such as Blynk.io, ThingSpeak, Google. Experiments to log temperature and humidity data on local and cloud storage. This include (i) establishing Wi-Fi connection between ESP32 board and Blynk.io, (ii) Storing data on Blynk platform, (iii) Visualizing stored data via a Blynk mobile application |
| Demonstrate basic data visualization techniques in Python | Introduction to Python Pandas library for statistical features and plotting. Perform basic experiments to (i) get statistical summary features (e.g. mean, median) of the collected data (ii) Identify missing and abnormal values (iii) Clean data by handling missing and abnormal values, (iv) Plot data with different |
| Demonstrate basic data analysis techniques (e.g., regression, clustering) for real-world applications in Python. | Introduction to Scikit-learn Python library for data analysis. Experiments will show how to perform (i) prediction via regression (ii) anomaly detection via clustering. These experiments will be conducted on the offline dataset, which includes temperature, humidity, occupancy, and energy consumption. |
BE/BTech/BCA/BSC/ME/MS/MSC/MCA/ PhD
Registration fee : Rs. 1000
A refund of Rs. 800 will be provided to eligible candidates upon completion of the LAB Workshop.
Please note: No refunds will be issued after the registration deadline on 13th July, 2026
Instructions for the lab workshop: (Things to be brought, safety rules, etc):
We will be sending this through email to only selected candidates.
Internal: 50/100 (i.e., Each day there will be a quiz exam comprising 10 points)
Final exam: 50/100 (i.e., 20 for practical demonstration and 30 for theory examination)
Name: Haroon R Lone
Designation: Assistant professor
Email id: haroon@iiserb.ac.in
Phone number: 0755-269-2656
Email ID: nptelplus-workshop@nptel.iitm.ac.in
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