Interview Report

D

Dr. Murli Kumar Manglam

m**************[email protected]

Interviewed on Apr 20, 2026

Completed
53SCORE

Overall performance

Assistant Professor - Physics

Not a fitAcademic

Lacks must-have skills in ML and quantum computation

Summary

Report summary

Preliminary Screening

Executive Summary

The candidate has a strong academic background with a PhD in physics and postdoctoral experience in materials science, currently holding a faculty position at IIT Guwahati. He demonstrated significant research output, including over 30 publications in reputable journals, and articulated fundamental concepts in magnetic materials and condensed matter physics as well as their real-world and industry applications. His teaching approach focuses on connecting theory to practice and engaging students through tutorials, quizzes, and direct interaction. However, his responses lacked clear evidence of practical experience in machine learning, quantum computation, and concrete examples of innovative student outcomes or active industry partnerships. Communication occasionally lacked structure and depth, especially regarding curriculum governance, mentoring strategies, and technical integration of machine learning.

Strengths

  • Extensive academic and research experience in condensed matter physics and magnetic materials
  • Over 30 research publications in reputable journals including Springer and IOP
  • Ability to explain fundamental theories and connect them to real-life applications in teaching
  • Experience designing experiments and assignments to bridge fundamental and applied physics
  • Familiarity with industrial relevance of magnetic materials, citing Fuji Film and Professor Oliver's work
  • Engagement strategies for students such as quizzes, tutorials, and direct interaction

Gaps / Risks

  • Did not provide concrete evidence of experience or practical application in machine learning
  • Limited articulation and depth regarding quantum computation and its integration in teaching or research
  • Communication often lacked clarity and structure, especially on technical and pedagogical strategies
  • Few concrete examples of guiding students to innovative or industry-linked outcomes in lab settings
  • Unclear approach to curriculum governance and accreditation beyond basic interaction and quizzes

What to Probe in the Next Round

  • Can you describe a specific project where you applied machine learning techniques to solve a physics problem, detailing your role and the outcomes?
  • Please elaborate on your experience with quantum computation and how you have incorporated it into teaching or research initiatives.
  • Can you provide a detailed example of mentoring students through a lab project that resulted in industry collaboration or innovative outcomes?
  • How would you structure curriculum governance activities and ensure consistency in outcome assessment across multiple courses?
  • Can you clarify your approach to fostering active industry partnerships and facilitating student internships or consultancy projects?

Final Recommendation

Cautiously Proceed

The candidate demonstrates strong academic credentials and relevant expertise in magnetic materials, but lacks clear evidence of practical experience in machine learning, quantum computation, and industry-linked student outcomes. Further probing is recommended to validate required competencies.

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Technical skills

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FullprofOrigin labImageJGatan SoftwareVestaMicrosoft OfficeC++PLDXRDFESEMTEMEBSDFTIRRaman SpectroscopyVSMPlanetary Ball MillingHigh temperature FurnaceImpedance AnalyzerVicker MicrohardnessOptical microscopeElectrochemical test

Soft skills

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ResearchTeachingPresentationCollaboration

Speakers

1 speaker

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Face analysis

Resume score

Resume

Resume.pdf

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