ICCC

Dr. Suraj S. Bhamra

PhD in Electrical and Computer Engineering

Suraj Singh Bhamra is listed as Lecturer II in Electrical and Computer Engineering at the University of Michigan–Dearborn. His research background includes EEG signal processing and time-frequency analysis of biopotentials. His verified 2018 article with Mohamed A. Zohdy applies a Hanning-windowed short-time Fourier transform to imagined motor movement. He earned his Ph.D. at Oakland University in 2019.

Sources: Official faculty profile ↗ · Publisher article ↗

Education

  • Ph.D. in Electrical and Computer Engineering, 2019
LinkedInResearch & Publications

Research statistics

Verified ICCC collection

Documented research records
1
Publication records
1
Degree research records
0

Indexed citation figures are not verified. Identity verified against the official UM-Dearborn faculty directory and publisher article. One publication is documented; indexed works and citation totals have not been verified.

ICCC counts cover the verified collection. Citation figures cover only the displayed indexed source records, not guaranteed career totals. OpenAlex coverage and author clustering can be incomplete. These figures differ from Google Scholar and include self-citations. Compare available member metrics →

Research & Publications

1 research work · Newest first

Authored and co-authored publications, with authors shown in the source order. This list reflects the records currently verified by ICCC and may not be complete.

2018 · International Journal of Computer and Information Technology

Application of Hanning-Based Short Time Fourier Transform in Localization of Imagined Motor Movement within Human Brain

Suraj S. Bhamra, Mohamed A. Zohdy

View Publication
Start here · New researcher guide

A reading workflow, not an author-verified summary. Confirm all details in the original publication.

  1. Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
  2. Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
  3. Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
  4. Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
  5. Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.

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