News @ SVECW

21-27 Oct 2024 :: One-Week online FDP On Data Science and Machine Learning Applications for Engineering and Sciences.

19-21 Feb 2025 :: National Concrete Canoe Competition & Phoenix 2K25 @ CE Dept.

View All ...

Youtube Facebook-f Instagram Twitter Linkedin-in

EAPCET | ECET | PGECET | ICET | CODE: VISW

Alumni

ICRAAE 2024

Academics > Departments

Electronics and Communication Engineering (ECE)

Dr. M. Venkata Subbarao

Associate Professor |

B.E/B.Tech: Electronics and Communication Engineering,JNTU Hyderabad, 2008
M.E/M.Tech: – Digital Electronics and Communication Systems, JNTU Kakinada, 2011
PhD: Wireless Communications and Machine Learning, Pondicherry University, 2019

Teaching Experience: 13 Years
Industrial experience:

AICTE ID: 1-2640300039
SVECW ECAP ID: 456
Vidwan ID: 149738
Ratification Status: Ratified as Associate Professor

  • Number of UG projects guided: 30
  • Number of PG projects guided: 1
  • Number of PhDs guided: 1
  • Number of journals published: 24
  • Number of Book Chapters published: 20
  • Number of conferences attended: 30
  • Senior Member in IEEE
  • Member in IETE
  • Associate Member in IE
  • Signal Processing,
  • Wireless Communications,
  • Computer Vision,
  • Machine Learning,
  • Deep Learning
  • Computer Vision
  • Machine Learning and Deep Learning applications to
  • Health Care and Agriculture and Industrial Automation
  • Speech Signal Processing
  • Spectrum Sensing
  • Cognitive Radio
  • Signal Detection and Classification
  • Venkata Subbarao, M., Samundiswary, P. Performance Analysis of Modulation Recognition in Multipath Fading Channels using Pattern Recognition Classifiers. Wireless Pers Commun 115, 129–151 (2020).
  • M. Venkata Subbarao, S. Lakshmi Praveena, T. Naga Sharmila, Praveen Kumar Nalli, G. Challa Ram, D. Ramesh Varma, Srinivasarao Alluri, Tabassum Nazeer Syed, “Machine Learning Algorithms for Erythemato-Squamous Disease Classification: Feature Rankings and Performance Analysis”, Proceedings on Engineering Sciences, 2024.
  • M. Venkata Subbarao, G. Challa Ram, D. Ramesh Varma, D. Girish Kumar, M. Prem Kumar,“Automatic Fault Detection in Industrial Smart Grids Using KNN and Ensemble Classifiers,” El-Cezerî Journal of Science and Engineering (ECJSE), vol. 10, no. 2, pp. 240–252, 2023.
  • D. Ramesh Varma, B. Durga Saranya, G. Pavani, M. Venkata Subbarao, G. Challa Ram, D. Girish Kumar, Design of fabric antennas for body protective garment applications and analysis on their performance, Materials Today: Proceedings, Volume 80, Part 2, 2023, 1538-1547, https://doi.org/10.1016/j.matpr.2023.01.384.
  • Devi, A.G., Rao, B.S.P., Haritha, T., Mandava, V.S.R., Balaji, T., Sagar, K.V., Rao, K.K. (2023). An improved CHI2 feature selection based a two-stage prediction of comorbid cancer patient survivability. Revue d’Intelligence Artificielle, Vol. 37, No. 1, pp. 83-92. https://doi.org/10.18280/ria.370111.
  • J. Ravindra Babu, Tata Balaji, Surya Prasada Rao Borra, S. Hrushikesava Raju, M. Venkata Subbarao, A.Geetha Devi, K Koteswara Rao “Experimental Investigations to Face Recognition using OPENCV for Monitoring Turnout Time.” Journal of Theoretical and Applied Information Technology 101, no. 11 (2023).
  • G. Challa Ram, M. Venkata Subbarao, K. Padma Satya Sri, Naveen Kumar Maurya, D. Ramesh Varma, M. Prema Kumar, “Novel Microwave Sensor for Enhanced Biochemical Detection and Prediction Through Machine Learning for Industrial Applications”, Proceedings on Engineering Sciences, 2024.
  • D. Ramesh Varma, M. Murali, M. Vamshi Krishna, M. Venkata Subbarao, “Design of A 2.45 Ghz Compact Wearable Antenna for Wireless Body Area Networks and Industrial Wireless Applications”, Proceedings on Engineering Sciences, 2024.
  • M.Venkata Subbarao, Sudheer Kumar Terlapu, G.Challaram and D.Girish Kumar, “Speech Emotion Recognition Using Ensemble Classifiers”, Turkish Online Journal of Qualitative Inquiry, 2021.
  • Venkata Subbarao, M., Samundiswary, P. K- Nearest Neighbors based Automatic Modulation Classifier for Next Generation Adaptive Radio Systems. International Journal of Security and its Applications, Vol 13, Issue 4, pp. 41-50, 2019.
  • M.Venkata Subbarao, P.Samundiswary, “Performance Analysis of Automatic Modulation Classification using Time Frequency Transforms under Non-Ideal Channel Conditions,” International Journal of Engineering and Advanced Technology (IJEAT), Volume-9 Issue-2, 2019.
  • M.Venkata Subbarao, P.Samundiswary, “Performance Analysis of Automatic Modulation Classification using Time Frequency Transforms under Non-Ideal Channel Conditions,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), Vol-8, Issue-12, pp. 1685-1691, 2019.
  • M.Venkata Subbarao, P.Samundiswary, “Automatic Modulation Recognition in Cognitive Radio Receivers using Multi-Order Cumulants and Decision Trees,” International Journal of Recent Technology and Engineering (IJRTE), Vol. 7, Issue 4, pp. 61-69, 2018.
  • M.Venkata Subbarao, P.Samundiswary, “An Intelligent Cognitive Radio Receiver for Future Trend Wireless Applications”, International Journal of Computer Science and Information Security (IJCSIS), Vol 14, pp. 7-12, 2016.
  • M.Venkata Subbarao, P.Samundiswary, “Wideband Spectrum Sensing for Cognitive Radio Networks using Time-Frequency Analysis”, International Journal of Control Theory and Applications (IJCTA), Vol 9, Issue 41, pp. 671-677, 2016.
  • M. Venkata Subbarao, N.Sayedu Khasim, Jagadeesh Thati, and M.H.H.Sastry “Hybrid Image Compression using DWT and Neural Networks” International Journal of Advanced Science and Technology, Volume 53, pp. 31-41, 2013.
  • M.Venkata Subbarao, N.S. Khasim, T.Jagadeesh and M.H.H.Sastry, “A Novel Technique for Time-Frequency Analysis of Digitally Modulated Signals”, International Journal of Signal Processing, Image Processing and Pattern Recognition (IJSIP), Volume 6, Issue 2, pp. 1-14, 2013.
  • M. Venkata Subbarao, N.Sayedu Khasim, Jagadeesh Thati and M.H.H.Sastry, “Tapering of Antenna Array for Efficient Radiation Pattern”, e-Journal of Science & Technology (e-JST), Issue 2, Volume 8, pp. 37-42, 2013.
  • N. Sayedu Khasim, Y.Murali Krishna, Jagadeesh Thati & M.Venkata Subbarao, “Analysis of Different Tapering Techniques for Efficient Radiation Pattern”, e-Journal of Science & Technology (e-JST), Volume 8, Issue 5, pp. 47-55, 2013.
  • M. Venkata Subbarao, N.Sayedu Khasim and Jagadeesh Thati, “Analysis of Non-Stationary Power Quality Signals” Elixir Online Journal on Electrical Engineering, Vol 53, pp. 11815-11818, 2012.
  • Senthil Kumar, A., Ademe, M., Ananda Kumar, K.S., Adusumalli, S., Venkata Subbarao, M., Sudhakar, K. (2024). Detection of Leaf Black Sigatoka Disease in Enset Using Convolutional Neural Network. In: Zen, H., Dasari, N.M., Latha, Y.M., Rao, S.S. (eds) Soft Computing and Signal Processing. ICSCSP 2023. Lecture Notes in Networks and Systems, vol 840. Springer, Singapore. https://doi.org/10.1007/978-981-99-8451-0_26.
  • Prabhakara Rao, A., Prasanna Kumar, G., Ranjan, R., Venkata Subba Rao, M., Srinivasulu, M., Sravya, E. (2024). Schizophrenia Identification Through Deep Learning on Spectrogram Images. In: Pareek, P., Gupta, N., Reis, M.J.C.S. (eds) Cognitive Computing and Cyber Physical Systems. IC4S 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 536. Springer, Cham. https://doi.org/10.1007/978-3-031-48888-7_1.
  • Venkata Subbarao, M., Keerthana, B., Ramesh Varma, D., Terlapu, S.K., Challa Ram, G. (2023). Automatic Modulation Classification Under AWGN and Fading Channels Using Convolutional Neural Network. In: Chakravarthy, V., Bhateja, V., Flores Fuentes, W., Anguera, J., Vasavi, K.P. (eds) Advances in Signal Processing, Embedded Systems and IoT . Lecture Notes in Electrical Engineering, vol 992. Springer, Singapore. https://doi.org/10.1007/978-981-19-8865-3_20.
  • Ravuri, V., Venkata Subbarao, M., Terlapu, S.K., Sairam Vamsi, T. (2023). Performance Analysis of 5G Micro-Cell Coverage with 3D Ray Tracing. In: Bhateja, V., Mohanty, J.R., Flores Fuentes, W., Maharatna, K. (eds) Communication, Software and Networks. Lecture Notes in Networks and Systems, vol 493. Springer, Singapore. https://doi.org/10.1007/978-981-19-4990-6_35.
  • Venkata Subbarao, M., Terlapu, S.K., Geethika, N., Harika, K.D. (2022). Speech Emotion Recognition Using K-Nearest Neighbor Classifiers. In: Shetty D., P., Shetty, S. (eds) Recent Advances in Artificial Intelligence and Data Engineering. Advances in Intelligent Systems and Computing, vol 1386. Springer, Singapore. https://doi.org/10.1007/978-981-16-3342-3_10
  • Subbarao, M.V., Padavala, A.K., Harika, K.D. (2022). Performance Analysis of Speech Command Recognition Using Support Vector Machine Classifiers. In: Gu, J., Dey, R., Adhikary, N. (eds) Communication and Control for Robotic Systems. Smart Innovation, Systems and Technologies, vol 229. Springer, Singapore. https://doi.org/10.1007/978-981-16-1777-5_19.
  • Venkata Subbarao, M., Pravallika, C., Ramesh Varma, D., Prema Kumar, M. (2022). Power Quality Event Classification Using Wavelets, Decision Trees and SVM Classifiers. In: Saini, H.S., Singh, R.K., Tariq Beg, M., Mulaveesala, R., Mahmood, M.R. (eds) Innovations in Electronics and Communication Engineering. Lecture Notes in Networks and Systems, vol 355. Springer, Singapore. https://doi.org/10.1007/978-981-16-8512-5_27.
  • Venkata Subbarao, M., Sudheer Kumar, T., Chowdary, P.S.R., Chakravarthy, V.V.S.S.S. (2022). Brain Tumor Classification Using Decision Tree and Neural Network Classifiers. In: Bhateja, V., Khin Wee, L., Lin, J.CW., Satapathy, S.C., Rajesh, T.M. (eds) Data Engineering and Intelligent Computing. Lecture Notes in Networks and Systems, vol 446. Springer, Singapore. https://doi.org/10.1007/978-981-19-1559-8_41.
  • Prema Kumar, M., Veer Raju, V., Venkata Subbarao, M., Rajesh Kumar, P. (2022). Weighted Averaging PSO-Based SWT Method of Image Fusion for X-Ray Mammograms . In: Satapathy, S.C., Bhateja, V., Favorskaya, M.N., Adilakshmi, T. (eds) Smart Intelligent Computing and Applications, Volume 2. Smart Innovation, Systems and Technologies, vol 283. Springer, Singapore. https://doi.org/10.1007/978-981-16-9705-0_53.
  • Ram, G.C., Subbarao, M.V., Kumar, D.G., Terlapu, S.K. (2022). FPGA Implementation of 16-Bit Wallace Multiplier Using HCA. In: Chakravarthy, V.V.S.S.S., Flores-Fuentes, W., Bhateja, V., Biswal, B. (eds) Advances in Micro-Electronics, Embedded Systems and IoT. Lecture Notes in Electrical Engineering, vol 838. Springer, Singapore. https://doi.org/10.1007/978-981-16-8550-7_40.
  • Girish Kumar, D., Challa Ram, G., Venkata Subbarao, M. (2022). Real-Time Image Enhancement Using DCT Techniques for Video Surveillance. In: Chowdary, P.S.R., Anguera, J., Satapathy, S.C., Bhateja, V. (eds) Evolution in Signal Processing and Telecommunication Networks. Lecture Notes in Electrical Engineering, vol 839. Springer, Singapore. https://doi.org/10.1007/978-981-16-8554-5_43.
  • Challa Ram, G., Girish Kumar, D., Venkata Subbarao, M. (2022). A Novel Optimization for Synthesis of Concentric Circular Array Antenna. In: Satapathy, S.C., Peer, P., Tang, J., Bhateja, V., Ghosh, A. (eds) Intelligent Data Engineering and Analytics. Smart Innovation, Systems and Technologies, vol 266. Springer, Singapore. https://doi.org/10.1007/978-981-16-6624-7_34.
  • Varma, R.A.C., Subbarao, M.V., Varma, D.R., Raju, G.R.L.V.N.S. (2021). High-Throughput VLSI Architectures for VLSI Signal Processing. In: Chowdary, P., Chakravarthy, V., Anguera, J., Satapathy, S., Bhateja, V. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 655. Springer, Singapore. https://doi.org/10.1007/978-981-15-3828-5_37.
  • Subbarao, M.V., Terlapu, S.K., Chakravarthy, V.V.S.S.S., Satapaty, S.C. (2021). Pattern Recognition of Time-Varying Signals Using Ensemble Classifiers. In: Chowdary, P., Chakravarthy, V., Anguera, J., Satapathy, S., Bhateja, V. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 655. Springer, Singapore. https://doi.org/10.1007/978-981-15-3828-5_76.
  • Venkata Subbarao M., Samundiswary P. (2021) Automatic Modulation Classification Using Cumulants and Ensemble Classifiers. Lecture Notes in Electrical Engineering, vol 752. Springer, Singapore.
    Terlapu S.K., Subba Rao M.V., Chowdary P.S.R., Satapaty S.C. (2021) Design and Analysis of Koch Fractal Slots for Ultra-Wideband Applications. Lecture Notes in Electrical Engineering, vol 655. Springer, Singapore.
  • Venkata Subbarao M., Sudheer Kumar T., Raju G.R.L.V.N.S., Samundiswary P. (2020) Power Quality Event Recognition Using Cumulants and Decision Tree Classifiers. Lecture Notes in Networks and Systems, vol 107. Springer, Singapore.
  • Ashok Chaitanya Varma, R., Venkata Subbarao, M., Srinivasa Raju, G.R.L.V.N. (2020). High Throughput VLSI Architectures for CRC-12 Computation. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_83
  • M. Venkata Subbarao, P. Samundiswary, “Spectrum Sensing in Cognitive Radio Networks Using Time–Frequency Analysis and Modulation Recognition”, Springer Lecture Notes in Electrical Engineering, Vol 471, pp.827-837, Feb-2018.
  • R. Viswanadham, T. Sudheer Kumar and M. Venkata Subbarao “A Level Cross-Based Nonuniform Sampling for Mobile Applications”, Springer Lecture Notes in Electrical Engineering, Vol 471, pp.767-777, Feb-2018.
  • G. C. Ram, S. Yuvaraj, M. V. Subbarao and P. S. Sneha, “CSRR Integrated Microwave Sensor for Analyte Dielectric Sensing,” 2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkur, India, 2023, pp. 1-5, doi: 10.1109/ICMNWC60182.2023.10435882.
  • M. L. V. A. Priya and M. V. Subbarao, “Performance Analysis of Machine Learning Techniques for Multi-Organ Cancer Detection and Classification: A Comparative Study,” 2023 International Conference on Emerging Research in Computational Science (ICERCS), Coimbatore, India, 2023, pp. 1-7, doi: 10.1109/ICERCS57948.2023.10434014.
  • P. K. Nalli, M. V. Subbarao, D. P. Garapati, S. K P, R. Priyakanth and G. P. Kumar, “Performance Analysis of Pre-Trained Deep Learning Architectures for Classification of Corn Leaf Diseases,” 2023 International Conference on Network, Multimedia and Information Technology (NMITCON), Bengaluru, India, 2023, pp. 1-8, doi: 10.1109/NMITCON58196.2023.10275915.
  • S. N, M. R. V. V. R, M. V. Subbarao, M. Pradeep, C. R. Grandhi and A. Karunasri, “A Robust Team Building Recommendation System by Leveraging Personality Traits Through MBTI and Deep Learning Frameworks,” 2023 International Conference on IoT, Communication and Automation Technology (ICICAT), Gorakhpur, India, 2023, pp. 1-6, doi: 10.1109/ICICAT57735.2023.10263718.
  • M. V. Subbarao, U. L. S. Rani, J. T. S. Sindhu, G. P. Kumar, V. Ravuri and S. N, “A Comprehensive Study of Machine Learning Algorithms for Date Fruit Genotype Classification,” 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC), Dharwad, India, 2023, pp. 1-7, doi: 10.1109/ICAISC58445.2023.10199785.
  • N. Silpa, V. V. R. Maheswara Rao, M. V. Subbarao, R. R. Kurada, S. S. Reddy and P. J. Uppalapati, “An Enriched Employee Retention Analysis System with a Combination Strategy of Feature Selection and Machine Learning Techniques,” 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2023, pp. 142-149, doi: 10.1109/ICICCS56967.2023.10142473.
  • D. G. Kumar, C. Joseph and M. V. Subbarao, “Pansharpening of Multispectral Images using Deep Learning Architectures: Trends & Future Directions,” 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India, 2023, pp. 411-417, doi: 10.1109/ICAAIC56838.2023.10140431.
  • G. C. Ram, M. V. Subbarao, D. R. Varma and A. S. Krishna, “Enhanced Deep Convolutional Neural Network for Identifying and Classification of Silicon Wafer Faults in IC Fabrication Industries,” 2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), Chennai, India, 2023, pp. 1-6, doi: 10.1109/WiSPNET57748.2023.10133996.
  • V. Ravuri, M. V. Subbarao, T. S. Kumar, T. S. Kavitha, D. R. Sandeep and L. Dangeti, “Multi-Cancer Early Detection And Classification Using Machine Learning Based Approaches,” 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India, 2023, pp. 1-7, doi: 10.1109/ICAECT57570.2023.10117816.
  • M. V. Subbarao, G. C. Ram and D. R. Varma, “Performance Analysis of Pistachio Species Classification using Support Vector Machine and Ensemble Classifiers,” 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC), Mysore, India, 2023, pp. 1-6, doi: 10.1109/ICRTEC56977.2023.10111889.
  • M. V. Subbarao, J. T. S. Sindhu, Y. C. A. Padmanabha Reddy, V. Ravuri, K. P. Vasavi and G. C. Ram, “Performance Analysis of Feature Selection Algorithms in the Classification of Dry Beans using KNN and Neural Networks,” 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), Erode, India, 2023, pp. 539-545, doi: 10.1109/ICSCDS56580.2023.10104809.
  • M. V. Subbarao, J. T. S. Sindhu, N. N. S. Harshitha, K. P. Vasavi, A. S. Krishna and G. C. Ram, “Detection of Retinal Degeneration via High-Resolution Fundus Images using Deep Neural Networks,” 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, 2023, pp. 955-960, doi: 10.1109/ICEARS56392.2023.10085273.
  • D. N. S. B. Kavitha and M. V. Subbarao, “Performance analysis of Sentiment Classification using Optimized Kernel Extreme Learning Machine,” 2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), Silchar, India, 2023, pp. 1-8, doi: 10.1109/ISACC56298.2023.10083939.
  • D. Ramesh Varma, M. Venkata Subbarao, G. Challa Ram and D. Girish Kumar, “Reducing Interference and Antenna Array thinning using Nature Inspired Genetic Algorithm,” 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), Coimbatore, India, 2023, pp. 915-919, doi: 10.1109/ICAIS56108.2023.10073866.
  • G. C. Ram, M. V. Subbarao, D. R. Varma and M. P. Kumar, “Delay Enhancement of Wallace Tree Multiplier with Binary to Excess-1 Converter,” 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 2023, pp. 113-117, doi: 10.1109/ICSSIT55814.2023.10061043.
  • V. Ravuri, M. V. Subbarao, S. K. Terlapu and G. Challa Ram, “Path Loss Modeling and Channel Characterization at 28 GHz 5G Micro-Cell Outdoor Environment using 3D Ray-Tracing,” 2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India, 2022, pp. 1-7, doi: 10.1109/ICAECT54875.2022.9808027.
  • K. Murthyraju and M. V. Subbarao, “Using Artificial Jellyfish Algorithm with Transformation Technique for Secure Video Watermarking Embedding Process,” 2022 International Conference on Computing, Communication and Power Technology (IC3P), Visakhapatnam, India, 2022, pp. 204-208, doi: 10.1109/IC3P52835.2022.00050.
  • T. S. Vamsi, S. K. Terlapu, M. V. Subbarao and C. Grandhi, “Crop Protection and Establishment of E-Farmers Market,” 2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T), Raipur, India, 2022, pp. 1-4, doi: 10.1109/ICPC2T53885.2022.9777040.
  • M. Venkata Subbarao, G. Challa Ram, D. Girish Kumar and S. Kumar Terlapu, “Brain Tumor Classification using Ensemble Classifiers,” 2022 International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, 2022, pp. 875-878, doi: 10.1109/ICEARS53579.2022.9752177.
  • M. V. Subbarao and P. Samundiswary, “Time-frequency analysis of non-stationary signals using frequency slice wavelet transform,” 2016 10th International Conference on Intelligent Systems and Control (ISCO), Coimbatore, India, 2016, pp. 1-6, doi: 10.1109/ISCO.2016.7726999.
  • Co-Principal Investigator (Co-PI) for the project titled “Creation of Awareness towards Children Centric Science Learning through Technology Enabled Learning”, Sponsored by National Council for Science & Technology Communication (NCSTC) division, Department of Science & Technology (DST), India and received an amount of Rs. 25,72,500/-.
  • Co- Investigator for the project titled “Memory-Optimized Co-Processing Unit for Enhanced Edge AI”, under “Chip to Start-up(C2S)”, Sponsored by Ministry of Electronics and Information Technology (MEITy), India and received an amount of Rs. 64,55,000/-.
  • Acted as a Special Session Chair, in IEEE – 2024-International-Conference-on-Social-and-Sustainable-Innovations-In-Technology-And-Engineering(SASI-ITE24), organized by Sasi Institute of Technology & Engineering, Tadepalligudem, Andhra Pradesh, India during Feb, 2024.
  • Acted as a Session Chair, in IEEE -International Conference on Computing, Communication and Power Technology (IC3P-2022), organized by Raghu Institute of Technology (A) & Raghu Engineering College (A), Vishakapatnam, Andhra Pradesh during 7th & 8th January, 2022.
  • Acted as a Session Chair, in Springer 6th International Conference on Micro-Electronics, Electromagnetics and Telecommunications (ICMEET-2021), organized by Bhubaneswar Engineering College, Bhubaneswar, Odisha during 27th & 28th August, 2021.
  • Acted as a Special Session Chair, Springer 5th International conference on “Micro-Electronics, Electromaganetics and Telecommunications” (ICMEET-2019) organized by Raghu Institute of Technology (A) & Raghu Engineering College (A), Vishakapatnam, Andhra Pradesh
  • Best paper award for the papertitled “An Efficient PAN-sharpening of Multispectral Images using Multi-scale Residual CNN with Sparse Representation” in 2nd International Conference on Integrated Circuits and Communication Systems (ICICACS – 2024) during 23rd & 24th February 2024, Organized by Department of Electronics and Communication Engineering, Sir M Visvesvaraya College of Engineering, Raichur, India.
  • Best paper award for the paper titled “Design and Simulation of Chip Fractal Inductor for Sub-THz Applications” in International Conference on Emerging Research in Computing, Information, Communication, Artificial Intelligence and Machine learning, ERCICAM 2024, during “23-24February, 2024” organized by Nitte Meenakshi Institute of Technology, Bangalore, India.
  • Best paper award for the paper titled Implementation of Lung Tumor Detection using Machine Learning” in 2nd International Conference on Integrated Circuits and Communication Systems (ICICACS – 2024) during 23rd & 24th February 2024, Organized by Department of Electronics and Communication Engineering, Sir M Visvesvaraya College of Engineering, Raichur, India.
  • Received Best Paper Award for the research paper titled “Schizophrenia Identification through Deep Learning on Spectrogram Images” at 4th EAI International Conference on Cognitive Computing and Cyber Physical Systems” organized by Vishnu Institute of Technology, Bhimavaram, Andhra Pradesh, India during August 4-6, 2023.
  • Best paper award for the paper titled “Crop Protection and Establishment of E-Farmers Market” in 2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T), Organized NIT Raipur, India during 1-3 March 2022.
  • Best Paper Award for the paper titled “Spectrum Sensing in Cognitive Radio Networks Using Time–Frequency Analysis and Modulation Recognition” at springer International conference on “Micro-Electronics, Electromagnetics and Telecommunications” (ICMEET-2017) organized by BVRIT, Hyderabad.
  • Best Paper Award for the paper titled “A Level Cross-Based Non-uniform Sampling for Mobile Applications” at springer International conference on “Micro-Electronics, Electromagnetics and Telecommunications” (ICMEET-2017) organized by BVRIT, Hyderabad.
  • Best Paper Award for the title “An Intelligent Receiver for Automatic Modulation Recognition using Time-Frequency Analysis: A Military Application” in International conference on Communication and Security (ICCS 2016) organized by Pondicherry Engineering College, Puducherry.
  • Got Visvesvaraya Fellowship from Department of Electronics and Information Technology, Ministry of Communication & IT, Govt. of India for pursuing Ph.D.
  • Got selected for “Summer Research Project Fellow 2019” by the Indian Academy of Sciences for two months at CSIR-CBRI, Roorkee.
  • Got “Best Teacher” award from the Tirumala Engineering College, Narasaraopet for academic year 2012-13
  • Web Intelligence – IOS Press
  • Soft Computing – Springer
  • International Journal of Knowledge-based and Intelligent Engineering Systems – IOS Press
  • Introduction to Machine Learning – NPTEL
  • Accreditation and Outcome based Learning – NPTEL
  • Principles of Communication Systems – I – NPTEL
  • Analog Communications – NPTEL
  • Signals and Systems – NPTEL
  • LaTeX101x: LaTeX for Students, Engineers, and Scientist s- NPTEL
  • Networks and Systems – NPTEL
  • Digital Transformation in Teaching Learning Process – NPTEL
  • Exploratory Data Analysis with MATLAB – Coursera
  • Introduction to Programming with MATLAB- Coursera
  • Computer Vision – Coursera
  • AI for Everyone – Coursera
  • Machine Learning for all – Coursera
  • Structuring Machine Learning Projects – Coursera
  • Teaching With MATLAB – MATLAB

— NA —

  • Participated a Two-week Faculty Development Program on “AI Tools to Build the Next Generation of AI-Powered Apps” organized by L4G Solutions.
  • Attended a Five-Day Online Faculty Development Programme on “Design & Innovation on Wireless Communication with Advanced Technology” organized by department of ECE, Gates Institute of Technology, Ananthapuram, Andhra Pradesh during 17 th – 22 th January, 2024.
  • Participated in a One-week Online Faculty Development Programme (FDP) on “AI Enabled AR/VR in Communications & Signal Processing Application”, during 3 rd – 7 th October 2023, organized by Department of Electronics and Communication Engineering, Nalla Narasimha Reddy Education Society’s Group of Institutions – Integrated Campus, Hyderabad, India.
  • Participated in One Week Online Workshop on "Advances in Landslide Risk Assessment & Mitigation’s jointly organized by the Department of Civil Engineering, JSS Academy of Technical Education (JSSATE), Bengaluru and Defence Research and Development Organisation (DRDO), Government of India from 11th to 15th September 2023. The Workshop was sponsored by Defence Research and Development Organisation (DRDO), Government of India.
  • Participated in One-week online SDTP (FDP/SDP) on “Satellite Communication: Design prospective and Applications” (SCDA-2023), scheduled from 21st August to 26th August 2023 organized by Annant Gyan Knowledge and Skills Private Limited.
  • Attended one week FDP on Medical Image Analysis using Artificial Intelligence (MIAAI-2023) organized by Center For Medical Imaging Studies (CMIS) under the Department of Electronics and Communication Engineering, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam, and Sankara Foundation Eye Hospital and Institute, Visakhapatnam during April 2023..
  • Attended one month FDP on “MATLAB Master Class” organized by Pantech Prolabs India Pvt Limted during May- July 2023.
  • Attended Faculty Development Program on “Data Analyst” organized by Andhra Pradesh State Skill Development Corporation (APSSDC) in Collaboration with ExcelR during June 2023.
  • Participated in Hybrid seasonal school on “Recent Advances in Artificial Intelligence for Signal Processing” held during 28.12.2021 to 31.12.2021 organized by IEEE VNR Vignana Jyothi Institute of Engineering and Technology SPS SBC in association with SPS & WIE AG, IEEE Hyderabad Section.
  • Successfully completed AICTE-ISTE approved Orientation/Refresher Programme on “Artificial Intelligence in Cooperative Nema (5G) Network” held during 21.12.2021 to 27.12.2021 organized by Poornima College of Engineering, Jaipur, Rajasthan.
  • Successfully completed AICTE-ISTE approved Orientation/Refresher Programme on “Machine Learning in Biomedical Engineering” held during 01.12.2021 to 07.12.2021 organized by R.M.K. Engineering College, Kavaraipettai, Tamilnadu.
  • Attended a 5 Days International Online Faculty Development Programme on “5G, IoT and Artificial Intelligence: Research Trends and Applications” organized by Department of Electronics and Communication Engineering, Atria Institute of Technology, Bangalore, in association with IEEE Bangalore Section- Information Theory Society Chapter, IETE Bangalore Section and IEEE Atria Student Branch during 27th September – 1st October 2021.
  • Attended the Faculty Development Program on VIRTUAL LABS, held virtually from 23-Aug-2021 thru 27-Aug-2021 as part of the “PALS-VLABS 2021-22 INITIATIVE” with NITK Surathkal”.
  • Participated in National Level Faculty Development Programme ( FDP ) entitled “ From Research To Publication “ from 18th August 2021 TO 25th August 2021 organized by Guru Shree Shantivijai Jain College for Women, Chennai.
  • Participated in Five Day Faculty Development Program on “ Recent Trends in Next Generation Communication Technologies ” organized by Department of Electronics & Communication Engineering, Bapatla Engineering College, Andhra Pradesh, India during 16th to 20thAugust , 2021.
  • Participated in IEEE SPS AIVA 2021 (Artificial Intelligence for Visual Application) held between June 24-28, 2021, organized by IEEE SPS Delhi Chapter in collaboration with SBILab, IIIT-Delhi.
  • Participated an AICTE Training And Learning (ATAL) Academy Online Elementary FDP on “Artificial Intelligence in Contemporary Biomedical & Healthcare Applications: Fundamentals & Hands on MATLAB” from 2021-06-21 to 2021-06-25 at Gautam Buddha University, Greater Noida, U.P.
  • Attended a FDP on “VLSI Circuits and MEMS Modelling: Recent Trends and Advancements” from 26-04-2021 to 30-04-2021 organized by V.R. Siddhartha Engineering College, Andhra Pradesh.
  • Participated in One Week AICTE sponsored Faculty Development Programme on “Recent Advances in NLP using Deep Learning (NLP-DL-2021)” held during March 8-12, 2021 organized by National Institute of Technology Silchar, Assam.
  • AICTE Sponsored One Week Online Short-Term Training Program on “ICT Tools for Engineering College Teaching and Outcome Based Learning” Organised by Department of Electronics & Communication Engineering, Raghu Institute of Technology (Autonomous) During 5th October – 10th October,2020.
  • Attended a FDP on “Machine Learning and its Applications” organized by Sri Venkateswara College of Engineering, Tamilnadu during 21-09-2020 to 25-09-2020.
  • Participated in Online (50hrs/15days) Faculty Development Programme On “Data Science & Its Applications In STEM”, conducted by Andhra University College Of Engineering (A), Andhra University and University Engineering College -Vizianagaram, JNTUK, Kakinada in association with APSCHE (Andhra Pradesh State Council of Higher Education) from 07th to 21st September,2020.
  • Participated in One Week Online International Faculty Development Programme on “Machine Learning and Computer Vision: Applications, Research Challenges (MLCV 2020)”, held during August 24-28, 2020 organized by National Institute of Technology Silchar, Assam.
  • Participated in the One Week National Level Online Faculty Development Programme on “Recent Advancements in Artificial Intelligence” organized by the Department of Computer Science and Engineering, Shri Vishnu Engineering College for Women, Bhimavaram from 23 to 27 June 2020.
  • Participated in A Five Day National Level Online Faculty Development Program on “Skill Development for Effective Research and Teaching – Learning Process”, organized by Department of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences (ANITS), Visakhapatnam, during 8th – 12th June 2020.
  • Successfully completed A FIVE Day National Level Online Faculty Development Program on“Trends in Electronics & Communication Engineering” conducted during 22nd-26th June 2020, Organized by Department of Electronics & Communication Engineering, SRI VASAVI ENGINEERING COLLEGE, Tadepalligudem, Andhra Pradesh.
  • Participated in one week online FDP on “Teaching, Learning, and Assessment Strategies” Organized by IEEE Education Society Chapter of IEEE HyderabadSection during 18 – 23 May 2020.
  • Successfully completed A FIVE Day”Hands on FDP: Data Science using Python” organized by Jeppiaar Institute of Technology, Tamilnadu held from 18-05-2020 to 22-05-2020.
  • Participated in A Five Day National Level Online Faculty Development Program on “Innovative Trends in Data Analysis with AI”, organized by Malineni Lakshmaiah Women’s Engineering College, Guntur during 26th – 30th May 2020.
  • Participated in TEQIP – III Sponsored FDP on “Industry 4.0, Data Analytics, Disruptive Technologies” organized by Dr. Babasaheb Ambedkar Technological University, Lonere during 26th May to 31st May 2020.
  • Participated in a Five Day National Level Online FDP on “Modern Research Trends in Communication, Signal Processing and VLSI/MEMS”, organized by Andhra Loyola Institute of Engineering and Technology, Andhra Pradesh from 19th to 23rd May 2020.
  • Participated in a Five Day National Level Online FDP on “Trends in Communication”, organized by Sir C R Reddy College of Engineering, Eluru from 26th to 30th May 2020.
  • Participated in a one week FDP on “NAAC Awareness Programme for Faculty” organized by Marathwada Mitramandal’s Institute of Technology, Lohgaon, Pune during 08/05/2020 to 14/05/2020.
  • Participated in a AICTE- two week FDP on “Next Generation Wireless Systems and Networks- Theory to Practice” organized by Dept. of ECE, Shri Vishnu Engineering College for Women, Bhimavaram during 1st Aug to 14th Aug, 2019.
  • Participated in a one week FDP on “Evalutionary Nature Inspired Meta Heuristic Algorithms” organized by Dept. of ECE, Shri Vishnu Engineering College for Women, Bhimavaram during 13th Apr to 17th Apr, 2018.
  • Attended for one week AICTE sponsored QIP–STC on “Stochastic Modeling and Optimal Control of Engineering Systems” organized by Dept. of Mathematics, IIT Roorkee, Uttarakhand held from 22th May to 26th May, 2017.
  • Participated in the five days GIAN course on “Spectrum Sharing in Next Generation Wireless Networks: Principles, Analysis & Case Studies” organized by Dept. of EE, IIT Hyaderabad, from 5th to 9th, September-2016.
  • Participated in the five days workshop under DST-FIST program on “Cadence, Synopsys and Mentor Graphics” organized by Dept. of EEE and EIE, Birla Institute of Technology and Science, Pilani, K.K Birla Goa campus from May 16th to 20th, 2016.
  • Attended for five days AICTE sponsored QIP–STC on “Recent Trends in Development of Communication: Cognitive Networks” organized by Dept. of ECE, Pondicherry Engineering College, Puducherry during 30th November to 4th December, 2015.
  • Attended for one week short term course on “EDA Tools and Design Methodologies in VLSI & Communication Systems” (ETVCS-15) organized by Department of Electronics and Communication Engineering under TEQIP-II at NIT Hamirpur from 12th to 16th June, 2015.
  • Participated in a three day Workshop on “Speech Signal Recognition:: Hands on Experience” organized by Dept. of ECE, Shri Vishnu Engineering College for Women, Bhimavaram during 21st to 23rd July, 2016.
  • Participated in a one week FDP on “Real Time Practices in Electrical and Electronics Engineering” (RTPEEE) organized by Dept. of EEE, Shri Vishnu Engineering College for Women, Bhimavaram during 26th Sep to 01st Oct, 2016.
  • Participated in a two day Workshop on “Speech Signal Processing Hands on Experience” organized by Dept. of ECE, Shri Vishnu Engineering College for Women, Bhimavaram during 22nd to 23rd Sep, 2015.

Institute Level:

  • Coordinator, NIRF
  • Research Ethics Committee Member
  • Member of Research and Development Cell
  • SPOC for Plagiarism Check
  • SPOC for Computer Vision Research Group for Foreign Collaboration
  • SPOC for Smart India Hackathon
  • SPOC for L&T Techgium
  • Coordinator – PALS, IIT Madras
  • SPOC for the industry relation with One Convergence’s
  • Member of SVES Team for Dr. Sanjay Ranka Collaboration

 

Department Level:

  • In-charge for Computer Vision Research Lab
  • Dept. Moodle Coordinator
  • Co-Coordinator, NAAC & NBA
  • BoS Member, BoS MoM coordinator
  • Project Review Committee Member
  • Students Mentor for Student Innovations
  • Class In-Charge

Our Campuses

Green Meadows

Orchard Park

Valley Vista

Lake View

Our Departments

Quick Links

  • © 2024 SVECW - All rights reserved