ELECTRONICS AND COMMUNICATION ENGINEERING

Dr. Santhosh Kumar Veeramalla

Dr. Santhosh Kumar Veeramalla

Associate Professor
santhosh.v@bvrithyderabad.edu.in

AICTE ID: 1-9312673391
JNTUH ID: 6000-200916-102544
Ratified Status: Ratified

Ph.D.: Investigations on Neural Activity Source Identification and Connectivity of EEG data using Particle Filter, NIT Warangal, 2021

M.Tech.: University Visveswaraya College of Engineering, 2008
B.Tech.: Anurag Engineering College   JNTU Hyderabad, 2005

Teaching Experience: 12 Years
Research Experience: 5 Years
Industry Experience: Nil 

Scopus ID: 57211628556
WoS ID: U-9557-2019
Google Scholar ID: WBws76QAAAAJ
Vidwan ID: 163486
ORCID ID: 0000-0002-0560-7130

Theoretical and Computational Neuroscience, EEG based Source localization and connectivity, Signal Processing with MATLAB

Nil

  1. Veeramalla, S.K., Tatiparthi, V.D.R., Babu, E.B. et al. Artifact removal of EEG data using wavelet total variation denoising and independent component analysis. Analog Integr Circ Sig Process 122, 14 (2025). https://doi.org/10.1007/s10470-025-02315-1
  2. Santhosh Kumar Veeramalla, et. al., (2023), Development of acoustic source localization with adaptive neural network using distance mating-based red deer algorithm. Computational Intelligence. 2023; 1-34. Available at: https://doi.org/1111/coin.12571
  3. Santhosh Kumar Veeramalla, et. al., (2023), Segmentation of MRI Images Using a Combination of Active Contour Modelling and Morphological Processing.Journal of Mechanics in Medicine and Biology, 23(4). Available at: https://doi.org/10.1142/S021951942340002X
  4. Santhosh Kumar Veeramalla, et. al., (2023), Detection and analysis of coagulation effect in vein using MEMS laminar flow for the early heart stroke diagnosis, AIMS Bioengineering, 10(1), pp. 1-12. Available at: https://doi.org/10.3934/bioeng.2023001
  5. Santhosh Kumar Veeramalla, V. Hindumathi. (2022), A Framework for Solving the Source Localization of the EEG Measurements with the Application of Particle Filtering with Branching Resampling. Journal of Circuits, Systems, and Computers, 31(10), pp.2250181 Available at:  https://doi.org/10.1142/S021812662250181X
  6. Veeramalla, S.K. and Talari, V.H.R. (2022), Resampling schemes within a particle filter framework for brain source localization, International Journal of Biomedical Engineering and Technology, 40(01), pp.18-38. Available at: https://doi.org/10.1504/IJBET.2022.125100
  7. Santhosh Kumar Veeramalla, Hanumantha Rao T.V.K. (2021), Assessment of Directional Connectivity between Neural Sources Using Effective Connectivity Measures and Particle Filters. Journal of Circuits, Systems, and Computers, 30(08), pp.2150149.                                          Available at: https://doi.org/10.1142/S0218126621501498.
  8. Santhosh Kumar Veeramalla (2021), Brushless DC Motor Modeling and Simulation in the MATLAB/SIMULINK Software Environment.Advances in Modelling and Analysis B, 64(1-4), pp. 27-33. Available at: https://doi.org/10.18280/ama_b.641-404
  9. Veeramalla, S.K. and Talari, V.H.R. (2020), Neural source localization using particle filter with optimal proportional set resampling. ETRI Journal, 42, pp. 932-942. Available at: http://dx.doi.org/10.4218/etrij.2019-0020.
  10. Veeramalla, S.K. and Talari, V.K.H.R. (2020), Multiple dipole source localization of EEG measurements using particle filter with partial stratified resampling. Biomedical Engineering Letters, 10(2), pp.205–215. Available at: http://dx.doi.org/10.1007/s13534-020-00149-6.
  11. Veeramalla, S.K. and Talari, V.H.R. (2019), Estimation of Neural Sources from EEG Measurements Using Sequential Monte Carlo Method. Ingénierie des systèmes d information, 24(4), pp.411–417. Available at: http://dx.doi.org/10.18280/isi.240408.
  1. Babu, E.B., Archana, K., Goud, J.R., Hussain, K.D. and Veeramalla, S.K., 2024, July. Fake News Detection using Machine Learning Algorithms. In 2024 Third International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) (pp. 1-6). IEEE.
  2. Veeramalla, S.K., Gali, R.L., Ranjeeth, M., Tara, S., Hindumathi, V. and Kumar, L.B., 2024, June. Smart and Quick Parking Spot Detection. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.
  3. Gali, Rama Lakshmi; Manne, Praveena; Veeramalla, Santhosh Kumar; , Structuring Hybrid Model Using Bilateral and Guided Filters for Image Denoising,  2023 International Conference on Next Generation Electronics (NEleX),  2024, 10.1109/NEleX59773.2023.10421518
  4. Kumar, Aruru Sai; Kumar, V Santhosh; Hindumathi, V; Shanthi, G; Babu, E Vijaya; Raju, M; , An Efficient AVR interfaced bluetooth controlled Robotic Car system,  2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence),   pp: 499-502,  2023, IEEE
  5. Reddy, T Vasudeva; Reddy, R Anirudh; Ramprasad, Ch; Abinay, Ch; Prasanna, K Sai; Kumar, V Santhosh; , Design and Modelling of Nano Electric Generators for Energy Harvesting in Smart Wearable Devices,  2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA),   pp: 1384-1389,  2023, IEEE
  6. Vasudeva Reddy, T; Madhava Rao, K; Santhosh Kumar, V; Hindumathi, V; , Energy Efficient Memory Architecture for High Performance and Low Power Applications Under Sub-threshold Regime,  Communication, Software and Networks: Proceedings of INDIA 2022,   pp: 225-233,  2022, Springer Nature Singapore Singapore
  7. Hindumathi, V; Veeramalla, Santhosh Kumar; Vasudeva Reddy, T; , Adaptive Resource Allocation in WiMAX Networks for Improved Quality of Service (QoS),  International Conference on Frontiers of Intelligent Computing: Theory and Applications,   pp: 625-633,  2022, Springer Nature Singapore Singapore
  8. Manda, Prashanthi; Veeramalla, Santhosh Kumar; , Simulation and Modelling of a Brushless DC Motor Using the MATLAB/SIMULINK Application Environment,  2021 3rd International Symposium on Material and Electrical Engineering Conference (ISMEE),   pp: 207-210,  2021, IEEE
  9. Kumar, V Santhosh; Rao, TVK Hanumantha; , Functional Brain Connectivity analysis using Coherent Measures,  EMBEC & NBC 2017: Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, Finland, June 2017,   pp: 779-782,  2018, Springer Singapore
  10. Kumar, V Santhosh; Rao, TVK Hanumantha; , Resampling schemes for Rao-Blackwellization particle filters,  2016 International Conference on Computing, Analytics and Security Trends (CAST),   pp: 377-382,  2016, IEEE
  1. A BEVERAGE DISPENSING UNIT, Design No.347553-001, Dec 2022
  2. A Magneto Sensitive Assembly for Interactive Electronic Devices, Application Number 20224105911, Oct 2023
  3. Wearable continuous body temperature monitoring system, Application Number 202341031415, June 2023
  4. An Efficient Enhanced VLSI Architecture of Montgomery Modular Multiplication, Application Number 202141028654, July 2021

Nil

Invited as a resource person for the FDP on “Deep Learning and Machine Learning inBiomedical Signal Processing” conducted by E &ICT Academy, National Institute of Technology, Warangal.

Topic of the Lecture: Preprocessing and Localization of EEG data

Nil

  • Australasian physical & engineering sciences in medicine
  • Computers in biology and medicine
  • Journal of neural engineering
  • Wireless personal communications
  • Asian Journal of Research and Reports in Neurology
  • Engineering Research Express
  • EURASIP Journal on Advances in Signal Processing

Organized ONLINE FACULTY DEVELOPMENT PROGRAMME (FDP) ON AI/ML for Computer Vision and Medical Image Analysis Applications, at BVRIT HYDERABAD College of Engineering for Women in association with EICT, NIT Warangal from 3rd to 12th December 2022

  1. Participated in A One Week Online GIAN Course On Technology-driven approaches for Neurodevelopmental and Neurodegenerative Disorders, from March 26 to 30, 2022.
  2. Participated in SPARC-sponsored International Workshop on Neurobiology of Pain & Itch is being organized by IIT (BHU) Varanasi, from 29th June 2021 to 03rd July 2021.
  3. Attended AICTE Training And Learning (ATAL) Academy Online FDP on Artificial Intelligence; from 2020-10-19 to 2020-10-23 at Indian Institute of Technology Patna.
  4. Participated and completed successfully AICTE Training And Learning (ATAL) Academy Online Elementary FDP on AI applications in Biomedical Engineering from 02/08/2021 to 06/08/2021 at National Institute of Technology Calicut.
  5. Participated & completed successfully AICTE Training And Learning (ATAL) Academy Online FDP on Computer Science & Biology; from 2020-10-12 to 2020-10-16 at NIT Silchar.
  6. Participated & completed successfully AICTE Training And Learning (ATAL) Academy Online Elementary FDP on Telemedicine and Digital Healthcare: Opportunities and Threats from 2021-05-17 to 2021-05-21 at Rabindranath Tagore University
  7. Attended a “GIAN Course on Beyond the Kalman Filter: Bayesian Recursive Filtering in Engineering and Finance” at IIT Patna held from January 1, 2018, to January 5, 2018.
  8. Attended a “The 23rd EEGLAB Workshop” at All India Institute of Speech and Hearing, Mysuru held from January 16, 2017, to January 20, 2017
  9. Attended a 6 Day GIAN Course on “Biomedical Signal Analysis” at NIT Warangal held from October 10, 2016, to October 15, 2016.
  10. Attended Two-week FDP on “Real-Time Signal Processing” at CBIT, Hyderabad.
  • Department Project Coordinator,
  • Department Faculty data,
  • NBA Criteria 5 Department In-Charge,
  • NAAC Criteria 6 Department In-Charge
  • MATLAB Chapter’s Faculty In-Charge.