2022 IEEE International Seminar on Women in Circuits & Systems (WiCAS)-
The IEEE AP/MTT/EMC/CAS Joint Chapter at SEECS has organized a one-day international seminar titled “2022 IEEE International Seminar on Women in Circuits & Systems (WiCAS)” on 15th December 2022 with the financial support of IEEE CAS society under the umbrella of “WiCAS Professional Development Events at local CASS Chapters”. The objectives of the event were as follows:
- Increase female leaders in local chapters including CASS Chapters
- Increase female CASS members
- Encourage Pakistani Women to join Engineering
In particular, strong emphasis was made to encourage Pakistani female to join circuits & systems research area since 52% of the total population of Pakistan is female, while only 24% of the total work force is female, out of which only 10% of these females are S.T.E.M. professionals. Therefore, efforts are required at all levels to boost this percentage for the betterment of society at large.
The event was conducted in an in-person mode with a total attendance of greater than 70 participants. The event included both national & international female keynote speakers including Prof. Ljiljana Trajkovic from Simon Fraser University, Canada, Ms. Saadia Qayyum from World Bank, Pakistan and Ms. Ammara from National Transmission & Despatch Company (NTDC), Pakistan.
The event started with a welcome note from Dr. Nosherwan Shoaib (co-chair IEEE AP/MTT/EMC/CAS Joint Chapter Islamabad). Dr. Shoaib gave a detailed presentation on activities of IEEE AP/MTT/EMC/CAS Joint Chapter Islamabad. In particular, he presented the benefits of joining the IEEE CAS society and associated opportunities for the students. The first keynote speaker, Prof. Ljiljana Trajkovic from Simon Fraser University, Canada, delivered an online talk on implementation of machine learning techniques for detecting internet traffic anomalies. She elaborated very interesting aspects of the subject including usage of machine learning algorithms for real-time scenarios. She also highlighted various types of machine learning techniques being used for internet traffic anomalies. It is heartening to see cutting edge research being done in this area. In the end, there was a healthy Q/A in which students asked questions on data collection/reliability and big data concepts.