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I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
posted on 5 Jul 2023
I applied via Walk-in and was interviewed in Jun 2023. There were 4 interview rounds.
10 questions and decision making questions relating to NTT
posted on 14 Apr 2023
I applied via Apna Jobs and was interviewed in Mar 2023. There were 2 interview rounds.
posted on 29 Oct 2024
I applied via Approached by Company and was interviewed in Sep 2024. There were 3 interview rounds.
I applied via Campus Placement and was interviewed in Apr 2024. There were 2 interview rounds.
I was instructed to give a teaching presentation on a chapter of my choice and a presentation on my research activities performed during Ph.D
ASIC is a custom integrated circuit designed for a specific application, while FPGA is a programmable chip that can be reconfigured for different tasks. Demorgan's Law is a fundamental principle in Boolean algebra. Boolean function reduction algorithms are used to simplify complex Boolean expressions.
ASIC is Application-Specific Integrated Circuit, designed for specific tasks like mining cryptocurrency.
FPGA is Field-Pr...
MOS capacitor is a metal-oxide-semiconductor structure used in electronic devices. It has high frequency characteristics due to its capacitance.
MOS capacitor consists of a metal gate separated from a semiconductor by a thin insulating layer.
At high frequencies, the capacitance of the MOS capacitor plays a crucial role in determining its performance.
The high frequency characteristics of a MOS capacitor are influenced by...
Short channel effects refer to the impact of channel length reduction on transistor performance.
Short channel effects become more pronounced as channel length decreases.
Effects include increased leakage current, reduced threshold voltage, and reduced drain-induced barrier lowering.
Examples of short channel effects include velocity saturation and hot carrier effects.
posted on 13 Feb 2025
I was interviewed in Jan 2025.
posted on 12 Aug 2024
Machine learning algorithms are used to analyze data, learn patterns, and make predictions without being explicitly programmed.
Machine learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.
Examples of machine learning algorithms include linear regression, decision trees, support vector machines, and neural networks.
These algorithms are used in various applications such as imag...
posted on 27 May 2024
I applied via AmbitionBox and was interviewed in Feb 2024. There were 4 interview rounds.
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