Rajiv Gandhi University of Knowledge Technologies-Andhra Pradesh

RK Valley Institute

Catering to the Educational Needs of the Gifted Rural Youth of Andhra Pradesh

(Constituted under the A.P Govt. Act 18 of 2008 and recognized as per Section 2(f), 12(B) of UGC Act, 1956)

Accredited by 'NAAC' with 'B+' Grade

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Profile of Dr. SK Mahammad Rafi
Dr. SK Mahammad Rafi
Assistant Professor
Education : M.Tech (JNTU Hyderabad), Ph.D (IIT Hydearabad)
Department : Electronics and Communications Engineering
Email : rafi@rguktrkv.ac.in
Date of Join : 24-November-2012
Experience @ RK Valley :
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Area of Interest
  • Machine Learning & Deep Learning
  • Audio and Speech Information Processing
  • Image processing
  • Brain Computer Interface
  • Robotics

Educational Background
  • Doctor of Philosophy (Ph.D.) (Pursuing), Electrical Engineering, IIT Hyderabad. 2023
  • Master of Technology (M.Tech) from Systems and Signal Processing, JNTU Hyderabad. Hyderabad, India- 2009-2011
  • Bachelor of Engineering (B.E.) from Electronics and Communications Engineering Department, Vasavi College of Engineering, Hyderabad, India- 2005-2009

Work Experience
  • Rajiv Gandhi University of Knowledge Technologies, AP-IIIT (RGUKT) Assistant Professor - 26/11/2012-Present
  • Indian Institute of Technology Hyderabad (IITH) Project Associate - 02/04/2012-25/11/2012
  • Lords Institute of Engineering and Technology, Hyderabad Lecturer- 02/06/2011-30/03/2012

Research Experience Worked in the following projects at IIT Hyderabad
  • Prosodically Guided Phonetic Engine for Searching Speech Databases in Indian Languages.
  • Developing Speaker Recognition System for National Institute of Standards and Technology (NIST) 2012 Speaker Recognition Evaluation (SRE).

Publications
  • B. S. M. Rafi, S. Sankala and K. S. R. Murty, "Relative Significance of Speech Sounds in Speaker Verification Systems", In: Circuits, Systems, and Signal Processing, DOI: 10.1007/s00034-023-02360-z.
  • B. S. M. Rafi, K. S. R. Murty and S. Nayak, "A new approach for robust replay spoof detection in ASV systems," 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017, pp. 51-55, doi: 10.1109/GlobalSIP.2017.8308602.
  • B. S. M. Rafi and K. S. R. Murty, "Importance of Analytic Phase of the Speech Signal for Detecting Replay Attacks in Automatic Speaker Verification Systems," ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, pp. 6306-6310, doi: 10.1109/ICASSP.2019.8683500.
  • S. Sankala, B. S. M. Rafi and K. S. R. Murty, "Multi-Feature Integration for Speaker Embedding Extraction," Accepted at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
  • S. Sankala, B. S. M. Rafi and K. S. R. Murty, "Self Attentive Context dependent Speaker Embedding for Speaker Verification," 2020 National Conference on Communications (NCC), 2020, pp. 1-5, doi: 10.1109/NCC48643.2020.9056043.
  • S. Sreekanth, B. S. M. Rafi, K. S. R. Murty and S. Bhati, "Speaker Embedding Extraction with Virtual Phonetic Information," 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2019, pp. 1-5, doi: 10.1109/GlobalSIP45357.2019.8969551.
  • M. K. Tellamekala and B. S. M. Rafi, "Fragrance effect on beta band oscillations of primary visual and prefrontal cortices for reading tasks," 2016 International Conference on Signal Processing and Communications (SPCOM), 2016, pp. 1-5, doi: 10.1109/SPCOM.2016.7746640.
  • S. P. R. Bairaju and B. S. M. Rafi, "Consequences of various synaptic weights on the dynamics of structured recurrent hopfield nets," 2017 2nd International Conference for Convergence in Technology (I2CT), 2017, pp. 230-235, doi: 10.1109/I2CT.2017.8226126.
  • Tellamekala M., B. S. M. Rafi (2018) "Phase Reversal and Suppressed Carrier Characteristics of Neo-Cortical Electroencephalography Signals". In: Progress in Intelligent Computing Techniques: Theory, Practice, and Applications. Advances in Intelligent Systems and Computing, vol 719. Springer, Singapore. https://doi.org/10.1007/978-981-10-3376-6_59
  • Tellamekala M., B. S. M. Rafi (2018) "Band Power Tuning of Primary Motor Cortex EEG for Continuous Bimanual Movements". In: Progress in Intelligent Computing Techniques: Theory, Practice, and Applications. Advances in Intelligent Systems and Computing,
    • vol 719. Springer, Singapore. https://doi.org/10.1007/978-981-10-3376-6_16
  • Vinay Ummadi, Aravind Gundlapalle, Althaf Shaik, B. S. M. Rafi "Autonomous Agriculture Robot for Smart Farming". In: https://arxiv.org/abs/2208.01708

Industrial Experience
  • Completed training in TELEGENT TELESERVICES pvt ltd., Gurgaon, as RF survey and Drive Test engineer for a period of two months from 01/07/2009 to 30/09/2009.

Academic positions held
    At IIIT-RK Valley, RGUKT-AP
  • Additional Campus Placement Incharge for Internships and Industrial relations (Present).
  • Branch Coordinator for Department of ECE for the academic year 2015-16.
  • Lab Coordinator for Department of ECE for the academic year 2014-15.
    • Teaching
  • 2013: Very Large Scale Integrated Circuits, Digital Image Processing
  • 2014: Digital Signal Processing, Digital Image Processing
  • 2015: Signals And Systems, Digital Signal Processing, Statistical Signal Processing
  • 2016: Artificial Neural Networks, Digital Image Processing

MISCELLANEOUS
  • Selected for IEEE Signal Processing Society Travel Grant, GlobalSIP-2017.
  • Attended and conducted workshops and Conferences (example NIAS-2016, Interspeech-2018, NCC-2020).
  • Selected for Junior Telecom Officer (JTO), BSNL in 2009.
  • Completed training in TELEGENT TELESERVICES pvt ltd., Gurgaon, as RF survey and Drive Test engineer for a period of two months.
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