Faculty Department

Nitesh Singh Malan

Dr. Nitesh Singh Malan

Assistant Professor

Polytechnic from Ambedkar Polytechnic, Shakarpur, Delhi, 2009. (Gold Medallist)
Discipline: Medical Electronics

B. Tech. from JSS Academy of Technical Education, Sec-62, Noida, India, 2012.
Discipline: Electronics and Communication Engineering.

M.Tech. from Motilal Nehru National Institute of Technology, Allahabad, Prayagraj, India, 2015.
Discipline: Biomedical Engineering.

Ph.D. from Indian Institute of Technology (Banaras Hindu University), Varanasi, India, 2021.
Discipline: Biomedical Engineering.

Area of Specialization:

Brain computer Interface, Biomedical Instrumentation, Biomedical Image and Signal processing, Artificial Intelligence and Machine Learning.

Career Graph:

  • Research Associate, Centre for Biomedical Engineering, Indian Institute of Technology, Delhi (Nov. 2021 – Dec 2021).
  • Temporary Faculty, Department of Applied Mechanics, Motilal Nehru National Institute of Technology Allahabad, Prayagraj (Sept. 2021- Nov. 2021). Delivered courses in Bio-Medical Instrumentation for Masters and Ph.D. students.

Recent Publications:
Publications: Journals

  1. Nitesh Singh Malan and Shiru Sharma, 2019. Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals. Computers in biology and medicine, 107, pp.118-126. (IF=6.69)
  2. Nitesh Singh Malan and Shiru Sharma, 2021, Motor imagery EEG spectral-spatial feature optimization using Dual-Tree Complex Wavelet and Neighbourhood Component Analysis. Innovation and Research in BioMedical Engineering (IF=5.5).
  3. Nitesh Singh Malan and Shiru Sharma, 2021, Time window and frequency band optimization using regularized neighbourhood component analysis for Multi-View Motor Imagery EEG classification. Biomedical Signal Processing and Control, 67, pp. 102550 (IF=5.076).

Journal Articles (SCI-Indexed)

  • Nitesh Singh Malan and Shiru Sharma, 2019. Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals. Computers in biology and medicine, 107, pp.118-126. (IF=4.589)
  • Nitesh Singh Malan and Shiru Sharma, 2021, Motor imagery EEG spectral-spatial feature optimization using Dual-Tree Complex Wavelet and Neighbourhood Component Analysis. Innovation and Research in BioMedical Engineering (IF=1.856).
  • Nitesh Singh Malan and Shiru Sharma, 2021, Time window and frequency band optimization using regularized neighbourhood component analysis for Multi-View Motor Imagery EEG classification. Biomedical Signal Processing and Control, 67, pp. 102550 (IF=3.880).

Conference

  • Nitesh Singh Malan and Shiru Sharma, 2018, July. Removal of Ocular Artifacts from Single Channel EEG Signal Using DTCWT with Quantum Inspired Adaptive Threshold. In 2018 2nd International Conference on Biomedical Engineering (IBIOMED) (pp. 94-99). IEEE. (Scopus)
  • Nitesh Singh Malan and Shiru Sharma, 2019, July. CCA Model with Training Approach to Improve Recognition Rate of SSVEP in Real Time. In Proceedings of the 2019 3rd International Conference on Artificial Intelligence and Virtual Reality (pp. 56-59). (Scopus)

Book Chapters

  • Nitesh Singh Malan and Shiru Sharma, 2020. Introduction to Motor Imagery-Based Brain-Computer Interface: Time, Frequency, and Phase Analysis-Based Feature Extraction for Two Class MI Classification. In Biomedical and Clinical Engineering for Healthcare Advancement (pp. 168-197). IGI Global.

Honours and Achievements:

  • Awarded Best Poster in ISC 2018: IEEE EMBS International Student Conference, Malan, N. S., & Sharma, S. “Time-Frequency-Phase Feature extraction by DTCWT for Two-class Motor Imagery EEG”.
Facebook Twitter Linkedin Instagram YouTube
Chat with Student Buddy