Awards
Department of Electrical Engineering
Ms. Mansi Singhal (B.Tech., 2024)
Best Paper Award in ICECSP-2024, NIT Delhi
Analog integrated electronic circuits are an integral part of every day to day and engineering sector, e.g. industries everyday appliances utilized in communication, aerospace, medical equipment, and nuclear applications. With their diverse uses and increased complexity, it is important to analyze the circuit accuracy and identify the faults. The faults can disrupt circuit functionality due to various factors such as environmental conditions and component aging, rendering them unsuitable for their intended purpose. Fault diagnosis is crucial, especially considering that analog circuits, despite representing only 20% of electronic devices, account for 80% of faults. As a result, fault detection and diagnosis are heavily reliant on the knowledge and experience of engineers [10]. Our work focused on comparing various machine learning classifiers for analog circuit fault diagnosis. We have analyse the two most important analog circuit blocks named Cascode and differential pair amplifier to analyze the faults. We have found that the CatBoost algorithm, which has an accuracy of 96.5% in identifying the circuit faults.
Ms. Shamima Khatoon
PhD Scholar Department of EE
1st prize for prototype device model at IISF 2024 "Pragya Bharat- New Frontiers of Science and Technology for Viksit Bharat 2047" at IIT GUWAHATI
100microlietres of passive pump-free self-extraction of 100% pure plasma for HIV and Dengue testing simultaneously from 1ml of undiluted wholee blood sample. The extracted plasma could also be an ideal sample for early detection of ovarian cancer, lung cancer, breast cancers, Alzeimer's disease, organ infarction, kidney damage, liver damage and strokes. The device is partially disposable while reusable for same patient for multiple extraction. The device cost is from 40 to 50 rupees only.