Saturday 03 October 2026
The 2026 Global Research and Instructional Dialogue (GRID 2026) international conference was organized by the Karachi School of Business and Leadership (KSBL) and held on 2-3 October 2026. I thank the GRID 2026 conference organizers for inviting me as a technical session co-chair.
29 September 2026
Hamdard University Department of Biomedical Engineering has organized a hands-on workshop entitled, Exploring Biosignals: Fundamentals of PowerLab for Teaching and Learning, held on 29th September 2026 at the Faculty of Engineering Sciences & Technology. We are thankful to the HUVC and Dean FEST for approving the proposal submitted by Dr Maryam Gulshan, Assistant Professor, BME - provided coordination. Thanks to Mr Naseem, Admin FEST, and his team for making arrangements. The resource person was Dr. Nauman Aziz, ADInstruments. PowerLab by ADInstruments is a high-performance data acquisition hardware and software system used to record and analyze analog and digital physiological signals in life science research and education. After the review of essentials by Dr Nauman, the hands-on sessions were conducted to measure the photoplethsmogram (PPG) and the electrocardiogram (ECG). Another important aspect of the workshop was the participation of faculty members from the Faculty of Pharmacy and Faculty of Health & Medical Sciences. The Department of Biomedical Engineering at Hamdard University provides services to HU organizational units in the development and implementation of solutions for teaching, learning, and research.
Wednesday 05 August 2026
The GUI is developed using Google AI Studio with prompt: GUI for Convolution Sum that visualizes discrete-time signals and computes the output response in real-time.
Discrete Convolution Sum Visualizer
https://ai.studio/apps/6b56d181-e4c8-4d3d-8dc8-721d62128c52
Created on Monday 20 July 2026, Updated on None.
Coursera is a good platform.
Thanks to HEC, Pakistan for providing opportunity under the DLSEI.
Wednesday 10 June 2026
A Dataset from Tajrabat-e-Tabeeb
The idea to develop a medical database is not new. A dataset acts as as source to train artificial intelligence model. Hakim Mohammed Said Shaheed has written a valuable book titled, Tajrabat-e-Tabeeb, published in 1973. The book contains 145 case studies organized in 9 sections; and 82 records. An early effort was established 02 May 2024 outlined two phases. Phase-1 outcome in the form of dataset. Phase-2 outcome in the form of a collaborative research and development roadmap.
The proposed idea converts the experiential journey as written by Hakim Mohammed Said Shaheed and published by Hamdard Foundation Pakistan; into a form directly useable by the advanced technology, such as, artificial intelligence based approaches and development of cyber-physical systems to assist medical expert.
Status: Submitted
Sunday 24 May 2026
A random number (binary string) is a number drawn (selected) from a set of numbers in an unpredictable, independent manner. So each member of the set has an equal chance of being selected. This means the outcome (selected number) has nothing to do with the past or future selection. In computing, this is true randomness. Pseudorandomness is a number selection from the set of numbers that looks random-like. The application areas include cryptography, computer simulation, gaming, and statistics, to name a few.
Example: Random string selection from a set of 3-bit binary strings
Set = {0, 1}^3 = {000, 001, 010, 011, 100, 101, 110, 111}
Probability [ each 3-bit binary string ] = 1/8
Probability distribution = {1/8, 1/8, 1/8, 1/8, 1/8, 1/8, 1/8, 1/8}
Example: Pseudorandom string selection from a set of 3-bit binary strings according to a given selection process Pr [ string ].
Pr [ string ] = ¼, for strings 001, 011, 101, 111
= 0, for strings 000, 010, 100, 110
