Dear Sir / Madam,

Greetings from The Institution of Engineers (India), Coimbatore Local Centre…!

We are pleased to inform you that The Institution of Engineers (India), Coimbatore Local Centre is organizing an IEI Technical Webinar on “Quantum Computing for Medical Imaging” under the aegis of the ETDB IEI, in association with the Department of Electronics and Communication Engineering, Akshaya College of Engineering and Technology, Coimbatore. The details of the Technical Webinar are given below:

Theme: “Quantum Computing for Medical Imaging”
Date: 31st July 2026 (Friday)
Time: 1400 Hr (IST)
Hosting Platform: Zoom

Panelist of the Session are:

* Dr S Manjula Gandhi, Professor and Head, Department of Computing (Software Systems), Coimbatore Institute of Technology, Coimbatore
* Dr Jayakumar Vaithiyashankar, Chief Executive Officer, Anuthantra Private Limited, Bengaluru
* Dr K Sivasankari , Professor, Department of Electronics and Communication Engineering, Akshaya College of Engineering and Technology, Coimbatore, will act as the Moderator.

You are cordially invited to participate in this session and join it 5 minutes prior to the commencement of the program. The flyer of the webinar is enclosed.

For free registration, you are requested to register yourself using the link as given below: https://zoom.us/webinar/register/WN_1yAVvgfwTFOjd2jBqam1sA

The participants who opt for ‘e-Certificate of Participation’ need to register themselves first using the above-mentioned registration link and thereafter make a nominal payment of INR 300/- (+18% GST) using the payment gateway available against the following link: https://ipanel.ieindia.org/adminui/webinar.aspx?FPeEChVPIHDy8bv+eVZBqA1KuTOTaE7Ov8rkYFhKnck=

Also, you can join/view the live streaming of the subject webinar at IEI YouTube Channel through the link: https://www.youtube.com/channel/UCb-dnZOohQvbRdoxpsDYwsA

For any assistance, please email to: coimbatorelc@ieindia.org

Preamble of the Webinar: Quantum computing represents an emerging computational approach that has the potential to redefine how medical images are analyzed and interpreted. Unlike classical computers that process data sequentially, quantum computers operate using qubits, which can exist in multiple states simultaneously. This unique capability allows quantum systems to handle complex and large-scale medical imaging data more efficiently than conventional methods. Medical image processing involves demanding tasks such as image reconstruction, noise reduction, feature extraction, segmentation, and disease classification. These operations require high computational power, especially when dealing with high-resolution images from modalities like MRI, CT, PET, and ultrasound. Quantum computing can address these challenges by performing parallel computations and accelerating optimization and pattern-recognition processes. Quantum algorithms and quantum machine learning techniques can analyze intricate image features and correlations that are difficult for classical systems to process in a reasonable time frame. One promising direction is the use of hybrid quantum–classical frameworks, where classical computers manage image acquisition and preprocessing, while quantum processors handle optimization, feature mapping, and classification. Such systems can improve the accuracy of detecting abnormalities, including tumors, lesions, and neurological disorders, while reducing processing time. Quantum-assisted image reconstruction techniques can also enhance image quality by minimizing noise and improving contrast. Although large-scale, fault-tolerant quantum computers are still under development, research experiments and simulations indicate strong future potential in healthcare applications. As quantum technology advances, its integration with medical image processing could enable faster diagnoses, more precise treatment planning, and personalized healthcare solutions. In the long term, quantum computing is expected to complement classical imaging systems, contributing to smarter, data-driven, and more reliable medical diagnostic tools.

We are looking forward to your active participation in the webinar.

We request you to kindly circulate this information among your faculty members and eligible students and encourage them to participate in the Technical Webinar .

Thanking you and with regards.

Dr J Pradeep Kumar FIE
Honorary Secretary
The Institution of Engineers (India)
Coimbatore Local Centre
PSG College of Technology Campus
Peelamedu, Coimbatore – 641004
Phone: 0422 – 2580733
Email: coimbatorelc@ieindia.org, ieicoimbatore@gmail.com
Website: ieicoimbatore.org