Interview Report

D

Dr. Eshan Samanta

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Interviewed on Apr 20, 2026

Completed
60SCORE

Overall performance

Assistant Professor (Research)

Good fit for roleAcademic

Strong teaching research and lab skills with practical examples

Summary

Report summary

Preliminary Screening

Executive Summary

The candidate presents a strong academic background, including a BTech, MTech in Mechatronics, and a PhD in Electrical Engineering focused on fuzzy inference systems. Demonstrated experience includes integrating real-world analogies and lab demonstrations for teaching complex control and power electronics concepts, as well as published research in relevant journals. However, responses frequently lack clarity, structure, and depth, especially regarding practical teaching methods, student evaluation strategies, and research mentorship. While there are signals of motivation and student engagement strategies, persistent communication gaps and incomplete explanations pose concerns for consistent academic delivery and student guidance.

Strengths

  • Completed PhD in Electrical Engineering with a focus on fuzzy inference systems
  • Published research in Electric Power Systems Research and book chapters
  • Uses practical examples and analogies (e.g., Tesla cars, hydro energy systems) to explain concepts
  • Emphasizes hands-on lab demonstrations and simulations for student learning
  • Mentions use of Bloom's taxonomy for exam question design
  • Prior experience as department head and handling exam logistics
  • Advocates for student engagement via animated videos and visual aids
  • Maintains records and tracks student progress using Excel and diaries
  • Recognized for teaching performance with awards for structured delivery

Gaps / Risks

  • Frequent lack of clarity and incomplete explanations of concepts and teaching strategies
  • Limited detail in responses about guiding students through research and publication processes
  • Unclear practical methods for bridging theory and lab work, especially for weaker students
  • Ambiguity in handling student accountability and motivation in project supervision
  • Minimal specificity in addressing academic dishonesty and faculty misconduct procedures
  • Inconsistent articulation of how to ensure fairness and consistency in student evaluation
  • Insufficient demonstration of structured communication and delivery across diverse topics

What to Probe in the Next Round

  • Can you describe in detail a specific classroom experiment or lab demonstration you use to teach feedback in control systems?
  • What step-by-step process do you follow to mentor students from initial research idea to publication in reputed journals?
  • How do you ensure students with limited coding backgrounds successfully use MATLAB and neural networks in power system analysis?
  • Please elaborate on your approach to designing exam questions that test both conceptual understanding and practical application.
  • How do you handle suspected academic dishonesty among faculty and students to maintain institutional integrity?

Final Recommendation

Potential concerns

The candidate demonstrates relevant academic credentials, teaching examples, and research output, but persistent gaps in clarity, structured delivery, and detailed student guidance indicate risks for consistent academic performance and effective mentorship.

Recording

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Transcript

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Technical skills

6
CC++AUTOCADMATLABArduinoLinux

Soft skills

3
Public speakingLeadershipMotivation

Speakers

1 speaker

Face preview

Face analysis

Resume score

Resume

Resume.pdf

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