Raisoni Group of Institutions Assistant Professor Interview Questions and Answers

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

Q1. Difference between ASIC and FPFA, Demorgan's Law, Boolean function reduction algorithms
Ans. 
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...read more
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Q2. Pn junction explanation, channel length modulation,
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Q3. MOS capacitor explanation and high frequency characteristics
Ans. 
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...read more
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Q4. Short channel effects in transistors
Ans. 
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.
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Q1. About yourself and why do u want to work here
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Q2. Are you comfortable in teaching
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Q1. Machine leaning Algorithm
Ans. 
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...read more
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Q2. Question based on the projects
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Q1. Your experience in banking
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Q1. Your willingness and interest
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Q1. Normal details of candidates
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Q1. Domain specific questions
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Q1. HR questions your basic candidature
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Q1. Salary negotiation with final HR
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Q1. Regarding subject and subject knowledge analysis by experts
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Q1. Do you have previous experience?
Ans. 
Yes, I have previous experience.
• I have worked as a teaching assistant for two years during my PhD program.

• I have also conducted several research projects and published papers in reputable journals.

• I have presented my work at multiple conferences and workshops.

• I have mentored undergraduate students and supervised their research projects.
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Q1. Your contribution towards research?
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Q2. Your Teaching pedagogy?
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My teaching pedagogy involves a student-centered approach with a focus on active learning and practical application.
• I believe in creating a collaborative learning environment where students are encouraged to participate and engage in discussions.

• I use a variety of teaching methods such as case studies, group projects, and simulations to help students apply theoretical concepts to real-world scenarios.

• I also incorporate...read more
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Q1. Tell me about yourself
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I am a dedicated and passionate Assistant Professor with expertise in [specific field].
• Ph.D. in [specific field] from [university]

• Published [number] research papers in renowned journals

• Taught [number] courses at [university] with excellent student feedback

• Received [award/honor] for outstanding contribution to [specific field]

• Currently researching [specific topic] to advance knowledge in [specific field]
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Q1. What is Chi square? What is Beta? Is beta can be negative?
Ans. 
Chi square is a statistical test used to compare observed data with expected data. Beta is a measure of the volatility of a stock or portfolio.
• Chi square is used to determine if there is a significant difference between the observed and expected data.

• It is commonly used in hypothesis testing and goodness-of-fit tests.

• Beta is a measure of the volatility of a stock or portfolio in relation to the overall market.

• It can be...read more
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