Interview Report

D

Dr. Deviprasad Sahoo

d******************[email protected]

Interviewed on Apr 20, 2026

Completed
58SCORE

Overall performance

Assistant Professor - Physics

Good fit for roleAcademic

Demonstrates strong teaching, research and publication expertise

Summary

Report summary

Preliminary Screening

Executive Summary

The candidate has a strong academic background in physics, with a PhD from ICT Mumbai and extensive postdoctoral experience in materials science, photonics, and device fabrication. Demonstrated signals include high publication output, hands-on device research, and active pursuit of funding and collaborations. Critical gaps are limited explicit discussion of machine learning application, unclear details on industry project engagement, and repetitive, sometimes unfocused responses to teaching and innovation queries. Overall, the candidate exhibits robust academic and research credentials, but clarity and practical alignment with industry projects and teaching innovation require further validation.

Strengths

  • Extensive research experience in nonlinear optics, semiconductor device physics, and advanced photonics
  • Clear evidence of hands-on device fabrication, including energy harvesting and high harmonic generation setups
  • Strong publication record with 33 publications, significant citation count, and H-index of 18
  • Experience supervising PhD researchers and leading collaborative research projects
  • Active pursuit of major grants (NRF, DST) and international collaborations
  • Ability to articulate basic concepts in physics using analogies and practical examples
  • Strategic approach to lab setup and team division for research execution

Gaps / Risks

  • Limited evidence of practical machine learning application in research or lab automation
  • No explicit examples of industry projects, consultancy, or direct industry collaborations for student opportunities
  • Teaching and lab innovation responses are repetitive and lack clear, actionable pedagogical strategies
  • Unclear demonstration of adapting teaching for students with limited experience or struggling with abstract concepts
  • Responses to ethical and student engagement scenarios lack detail on specific actions or outcomes

What to Probe in the Next Round

  • Can you provide concrete examples where you applied machine learning techniques to experimental physics data or lab measurement automation?
  • Describe a specific industry project or consultancy engagement, detailing your role and the impact on student training or research translation.
  • How have you structured undergraduate or postgraduate lab sessions to foster meaningful student innovation beyond standard protocols? Please share a detailed scenario.
  • What steps have you taken to address student learning gaps or adapt your teaching approach when students struggle with abstract physical concepts?
  • Can you elaborate on a situation where you resolved an ethical dilemma in grading or research collaboration, including the actions taken and outcomes?

Final Recommendation

Strong Academic

The candidate demonstrates deep expertise in theoretical and experimental physics with extensive publication and grant-seeking activity, but practical application of machine learning and industry engagement remain unvalidated based on transcript evidence.

Recording

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Transcript

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Technical skills

6
Material SynthesisInstrumentationLASERCustom optical set-up developmentDevice FabricationSimulation & Software

Soft skills

3
Problem-solvingInterdisciplinary collaborationInnovation

Speakers

1 speaker

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Face analysis

Resume score

Resume

Resume.pdf

65