IEEE Region 10 WIEC successfully organize WIE Sessions at IEEE TENCON 2023 during 31 October - 3 November 2023 in Chiang Mai, Thailand

The hybrid event for WIE volunteers who works in the local WIE AG or WIE SB to meet and share their best practices. Townhall with IEEE WIE Chair and Region 10 WIE Chair. Raise the concerns and express the need within local AG environments to the IEEE policy maker to find a solution and to make a change. 

The event is duplicate in 2 days, 31st October 2023 and 3rd November 2023 during TENCON 2023 to extended the opportunity to all IEEE WIE members in both onsite at TENCON 2023 and online.

IEEE Women in Engineering Activities in TENCON2023

IEEE TENCON 2023 WIE Paper Awards

TENCON 2023 announces call for nomination among the accepted papers with all female authors or female corresponding authors. The nomination will be evaluated and selected as WIE Best paper awards and Honorable mention female authors among all of TENCON 2023 participants. The awards categories and winners are: 


1.    WIE Best paper award – female first author

Fahmida Nipa*, Fahin Uddin Enam, Md. Tahsin Ahmed Abir, Musa Ahammed Mahin, Dr. Abu Hamed M. Abdur Rahim, Md. Mehedi Hasan Shawon, Md. Rakibul Hasan, “Prosthetic Exo-Leg: A Functional Robotic Leg Suit to Assist Patients with Transfemoral Amputation” from Brac University, Bangladesh


2.    WIE Best paper award – female corresponding author

Prajwal S Rao, Aparna Pulikala*, “Hardware-Optimized Deep Learning Model for FPGA-Based Character Recognitio” from National Institute of Technology Karnataka, India


3.    All female authors honorable mentions

1.    Deepa M U*, Bindu G R*, A Front End Power-Factor-Corrected Converter Fed Two Stage Battery Charger for Electric Vehicles


2.    Ilakkia bharthi Balulingam, Vayishnavee Balaji, P.Kaythry P*

“Engineering Education and Indian Students’ Perception on Environment and Sustainable Development: A Comprehensive Study and Analysis”


3.    Sameera V Mohd Sagheer*, 

Sreelakshmi A K, Anupama J, “A Review on Various Deep Learning Techniques Used for Melanoma Detection