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Dr. Hima Deepthi Vankayalapati

Associate Professor

SM handles:  

 

Educational Qualification (highest):

  1. Ph.D. (Information Technology)
  2. M.S (Information Technology)
  3. B.Tech. (Electronics and communication Engineering)

Area of Research:

Artificial Intelligence in healthcare, Advanced Driver Assistant Systems, Autonomous Vehicles, Telematics, Digital Signal and Image Processing, Deep Learning and Machine Learning.

Designation: Associate Professor

Department: Artificial Intelligence

PhD Scholars: – (1 completed) ( 1- guiding)

  • SanjayKumar I Nipanikar, Thesis Title: Optimization based pixel selection for effective medical image steganography in secure data communication.

Basic Information

About (Awards, Patents, Committees)

  1. Received European Union grant for a Mid-Career Research Fellowship hosted at the Technical University of Sofia, Bulgaria, focusing on “AI in Healthcare”.
  2. Acted as resource person for “One Day Workshop on Artificial Intelligence for Space Applications ” on 23st March 2024 Organized by Aeronautical Society of India, Kanyakumari Branch & ISRO Propulsion Complex (IPRC), MahendraGiri.
  3. Patent Title: Biometrics Based Locker Security System and Method, Published on 04/02/2022, Application ID-202141058510.
  4. Patent Title: System And Method For Automatic Attendance With Thermal Scanning, Published on 17/12/2021, Application ID-202141056976.
  5. Faculty mentor for the project “smart assistance”, got first prize in IET- Nokia Smart city challenge on 20.09.2019.
  6. Life member of ISTE (Indian Society of Technical Education)
  7. Life member of IAENG (International Association of Engineers)
  8. Life member of Robotics of India (RSI)
  9. Reviewer for Springer Nature Journals (Evolutionary Intelligence), scientific reports journal and IEEE conferences

 Funded Projects

  1. Principal Investigator for “Non-intrusive real time driving process ergonomics monitoring system to improve road safety in car pc environment” sanction by DST with the amount of 22,13,000/- on 16-08-2013.
  2. Co-Investigator, “Video Analytics”, ADRIN-ISRO, with amount Rs.18,00,000/-, July,2014.
  3. Co-Investigator, “Expansion of activities of Biotech-KISAN Hub in three Aspirational districts”, Sanctioned by Department of Biotechnology, November, 2019.

Publications

 Journals

  1. Vankayalapati, H.D.; Kuchibhotla, S.; Chadalavada, M.S.K.; Dargar, S.K.; Anne, K.R.; Kyamakya, K. “A Novel Zernike Moment-Based Real-Time Head Pose and Gaze Estimation Framework for Accuracy-Sensitive Applications”, Sensors, 22, 8449, 2022. https://doi.org/10.3390/s22218449.
  2. Subbaiah, P.V., Hima Deepthi, V., “A study to analyze enhancement techniques on sound quality for bone conduction and air conduction speech processing”, Scalable Computing, 21(1), pp. 57–62, 2020.
  3. Sailaja, G., Hima Deepthi, V., “Facial expression recognition complications with the stages of face detection and recognition”, International Journal of Recent Technology and Engineering, 8(2), pp. 2728–2740, 2019.
  4. Hushein, R., Hima Deepthi, V., “Experimental analysis of electrical conductivity of the 3D printed grapheme”, International Journal of Engineering and Advanced Technology,8(6), pp. 3316–3321, 2019.
  5. Mishra, S.K., Hima Deepthi, V., “Brain image classification using dual tree m-band wavelet transforms and support vector machine”, Indian Journal of Public Health Research and Development, 10(11), pp. 3845–3849, 2019
  6. SI Nipanikar, V Hima Deepthi, “Enhanced Whale optimization algorithm and wavelet transform for image steganography”, Multimedia Research (MR), Vol. 2, issue 3, pages 23-32, 2019
  7. I. Nipanikar a, V. Hima Deepthi, “Wavelet transform-based steganographic method for secure data communication using OFDM system”, International Journal of Intelligent Computing and Cybernetics, Volume 10, Issue 3, Pages 362-386, 2017.
  8. I. Nipanikar a, V. Hima Deepthi, Nikita Kulkarni, “A sparse representation based image steganography using Particle Swarm Optimization and wavelet transform”, Alexandria Engineering Journal, 2017
  9. Nipanikar, S. I., and V. Hima Deepthi, “A Multiple Criteria-Based Cost Function Using Wavelet and Edge Transformation for Medical Image Steganography.” Journal of Intelligent Systems, Pages: 1-17, 2016. DOI: 10.1515/jisys-2016-0095
  10. Swarna Kuchibhotla, Hima Deepthi Vankayalapati, Koteswara Rao Anne, “An optimal two stage feature selection for speech emotion recognition using acoustic features”, International Journal of Speech Technology, vol. 19, issue 4, pages: 657-667, 2016.
  11. Swarna Kuchibhotla · H. D. Vankayalapati, R. S. Vaddi · K. R. Anne, “A comparative analysis of classifiers in emotion recognition through acoustic features”, International journal of speech technology, vol. 17, issue 4, pages: 401-408, 2014. DOI: 10.1007/s10772-014-9239-3.
  12. N. P. Boggavarapu, R. S. Vaddi, K. R. Anne, and H. D. Vankayalapati, “A robust color lane marking detection approach for Indian scenario,” International Journal of Advanced computer science and Applications (IJACSA), vol. 2, No. 5, page: 71-75, May 2011, ISSN-1307-6884
  13. R S Vaddi, L N P Boggavarapu, H D Vankayalapati, K. R. Anne, “Contour Detection Using Freeman Chain Code And Approximation Methods For The Real Time Object Detection”, Asian Journal Of Computer Science And Information Technology, Issue: 1, Pages: 15-17, 2011. ISSN: 2249 –5126.
  14. D. Vankayalapati, K. R. Anne and Kyandoghere Kyamakya, “Driver emotion detection from the acoustic features of the driver for real-time assessment of driving process ergonomics”, International Society for Advanced Science and Technology (ISAST) Transactions on Computers and Intelligent Systems journal, Vol. 3, pp. 65 – 73, 2011. ISSN 1797-1152

Books Published

  1. Anne Koteswara Rao, Kuchibhotla Swarna, Vankayalapati Hima Deepthi, “Acoustic Modeling for Emotion Recognition”, SpringerBriefs in Electrical and Computer Engineering, Speech technology, April 2015.

Conferences

  1. Gummidela, S. M. K. Bhupani, G. S. Ikkurthi, T. L. Bandaru and H. D. Vankayalapati, “Lossless Telemetric Data Compression using Lempel-Ziv-Markov-Algorithm,” International Conference on Next Generation Electronics (NEleX), Vellore, India, pp. 1-6, 2023.
  2. V. S. Krishna, P. Neeraj, B. Surya, B. V. Prudhvi and V. H. Deepthi, “Machine Learning Algorithms for Crop Yield Prediction in Real-Time Scenarios,” 4th International Conference on Signal Processing and Communication (ICSPC), Coimbatore, India, pp. 377-381, 2023.
  3. C. Kamani, L. S. Reddy Jampana, V. H. Deepthi and M. Kumar, “Smart Crop Protection from Animals in Real Time using Convolutional Neural Networks,” 8th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2023, pp. 918-923, 2023.
  4. Kuchibhotla, Swarna & Dogga, Siva & Thota, N & Puli, Gopi & R, Niranjan & Vankayalapati, Hima. “Depression Detection from Speech Emotions using MFCC based Recurrent Neural Network”, 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN), 1-5, 2023.
  5. J. Yadav, E. N. Harini, G. V. V. S. L. Rupesh, B. M. Shankar and V. H. Deepthi, “Design of Portable Soil and Water Testing System,” International Conference on Innovative Data Communication Technologies and Application (ICIDCA), Uttarakhand, India, pp. 1128-1133, 2023.
  6. Rohith Reddy, Ch. Satwik, K.Praharsha, Richa Mishra, V. Hima Deepthi, “An Efficient Multimodality Framework for Locker Protection with Live Image Authentication”, 4th International Conference on Smart and Sustainable Developments in Engineering and Technology, AIP Conference Proceedings, volume 2855, issue 1, December 2023.
  7. J. Yadav, E. N. Harini, B. M. Shankar and V. H. Deepthi, “Automatic Roof for Crop/Seed Protection from Rains,” IEEE 3rd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET), Mysuru, India, pp. 1-5, 2023.
  8. B Surya, NV Suresh Krishna, A Siva SankarReddy, BV Prudhvi, P Neeraj, V Hima Deepthi, “An Efficient Real-Time Indian Sign Language (ISL) Detection using Deep Learning”, 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), pages 430-435, May 2023.
  9. Gorla Sujan Souri, Panditi Premsagar, Gummala Sainath Reddy and Vankayalapati Hima Deepthi, “Real-Time Smart Attendance Monitoring System With Thermal Scanning”, International Conference on Electronic Systems and Intelligent Computing, Vol , I , 2022.
  10. Mohan Sai Kumar Chadalavada, Aswath S, Hima Deepthi Vankayalapati, Imran Javeed S and Rupesh SVN, “DNA Sequence Classification with Improved Performance of Supervised Classifiers using Nature Inspired Algorithms”, 2nd International Conference on Intelligent Technologies (CONIT), Vol , I, 2022.
  11. Kuchibhotla, S.Voonna, C.Penki, R.P.Aruna, S.Vankayalapati, H.D., “Analysis of Facial Emotion Recognition for Image and Video Data using Convolution Neural Networks”, 6th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2022 – Proceedings, pp. 1336–1340, 2022.
  12. Hima Deepthi, B.Balvinder Singh, and V. Srinivasa Rao “Automatic Vehicle Number Plate Localization Using Symmetric Wavelets” Proceedings of the 48th Annual Convention of SI- Volume 1, Advances in Intelligent Systems and Computing 248, Springer International Publishing 2014.
  13. Swarna K, Hima Deepthi V, BhanuSree Y, and Koteswara Rao A, “ROC Analysis of Class Dependent and Class Independent Linear Discriminant classifiers using Frequency domain features”, International Conference on Advances in Computing, Communications and Informatics (ICACCI), 24-27 September, 2014
  14. Swarna K, Hima Deepthi V, BhanuSree Y, and Koteswara Rao A, “Analysis and Evaluation of Discriminant Analysis Techniques for Multiclass Classification of Human Vocal Emotions”,  Advances in Intelligent Informatics, Advances in Intelligent Systems and Computing 320, Springer, pages: 325-333, October, 2014, DOI: 10.1007/978-3-319-11218-3_30.
  15. Venkateswara Rao, Dr. V. Srinivasa Rao, K. Srinivas, V.Hima Deepthi and E. Kusuma Kumari, “Robust High Resolution Image from the Low Resolution Satellite Image”, Advances in Computer Science, AETACS, Association of Computer Electronics and Electrical Engineers, 2013
  16. V.Srinivas Rao, N.Sunny, K.Srinivas, V.Hima Deepthi, K. Karthik “A Study on Image Quality Assessment Techniques” 4th International Joint Conference on Advances in Engineering and Technology, pages:373-377, Elsevier 2013.
  17. Kranthi pradeepika, M. Krishna prasanna and H.D. Vankayalapati “Analysis of Gender detection by extracting facial features of humans”, International Conference Systemics, Cybernetics and Informatics (ICSCI), Organized by Pentagram Research Centre, January 5-8, Hyderabad, 2011.
  18. D. Vankayalapati, L N P Boggavarapu, R S Vaddi and K R Anne, “Extraction of facial features for the real-time human gender classification”, International Conference on Emerging Trends in Electrical and Computer Technology (ICETECT), published in IEEEXplore Digital Library, Kanyakumari, March 23-24, 2011. DOI: 10.1109/ICETECT.2011.5760218
  19. R S Vaddi, L N P Boggavarapu, H D Vankayalapati and K R Anne, “Cellular neural network based pre-processing for localization of nonstandard license plate”, 3rd International Conference on Electronics Computer Technology (ICECT), published in IEEE Transactions, Kanyakumari, April 8-10, 2011. ISSN-1307-6884. DOI: 10.1109/ICECTECH.2011.5941633
  20. R S Vaddi, L N P Boggavarapu, H D Vankayalapati, K R Anne, “Comparative analysis of contrast enhancement techniques between histogram equalization and CNN”, IEEE International Conference on Advanced Computing – ICoAC , pages: 106 – 110, December 2011. DOI: 10.1109/ICoAC.2011.6165157
  21. Vankayalapati H. D., Kyamakya K, “Nonlinear Feature Extraction Approaches with Application to Face Recognition over Large Databases”, Proceedings of INDS´09. The Second International Workshop on nonlinear Dynamics and Synchronization, INDS’09, pp. 44-48, 20. June 2009.

Chapters

  1. Telugu Navakrishna, Swarna Kuchibhotla, Hima Deepthi Vankayalapati, “Hybrid and Ensemble Learning Approach for Improved Diabetes Prediction”, Sustainable Materials and Technologies in VLSI and Information Processing, 1st Edition, CRC Press, Pages 178-184, 2025.
  2. Swarna Kuchibhotla, Kantheti Mohana, Alapati Yomitha, Sruthi Yedavalli, Hima Deepthi Vankayalapati, Kyamakya Kyandoghere, “An Efficient Infant Cry Detection System Using Machine Learning and Neuro Computing Algorithms”, Generative Artificial Intelligence: Concepts and Applications, John Wiley & Sons, Inc, Pages-16-37, 2025.
  3. Siri Chandana Gummidela, Sree Madhu Kiran Bhupani, Ganga Sridhar Ikkurthi, Thanmai Lakshmi Bandaru, Hima Deepthi Vankayalapati, “Real Time Face Recognition System for Attendance Monitoring using Raspberry Pi4”, Sustainable Materials and Technologies in VLSI and Information Processing, 1st Edition, CRC Press, Pages 258-263, 2025.
  4. Vankayalapati, H.D., Anne, K.R., Sri Harsha, S, “Estimating Driver Attentiveness Through Head Pose Using Hybrid Geometric-Based Method”, Smart Innovation, Systems and Technologies, Springer Science and Business Media Deutschland GmbH,2022, Volume 282, 2022, Pages 197-204, ISBN-978-981169668-8
  5. Videla, L.S.; Rao, M.R.N.; Anand, D.; Vankayalapati, H.D.; Razia, S., “Deformable facial fitting using active appearance model for emotion recognition”, Smart Intelligent Computing and Applications, Springer Science and Business Media Deutschland GmbH, 2019, Volume 104, Pages 135-144, ISBN-978-981131920-4
  6. Kuchibhotla, S.; Yalamanchili, B.S.; Vankayalapati, H.D.; Anne, K.R, “Speech Emotion Recognition Using Regularized Discriminant Analysis”,Advances in Intelligent Systems and Computing, Springer Verlag,2014, Volume 247, Pages 363-369, ISBN-978-331902930-6
  7. Vaddi, R.S., Boggavarapu, L.N.P., Vankayalapati, H.D., Anne, K.R, “Real time human gender detection based on facial features and connected component analysis”, Communications in Computer and Information Science, Springer Verlag, 2012, Volume 292 CCIS, Pages 360-370, ISBN-78-364231685-2
  8. Virajitha, K., Navya, B., Boggavarapu, L.N.P.K., Vaddi, R.S., Vankayalapati, H.D., “Simple and effective techniques for skew correction, slant correction and core-region detection for cursive word recognition”, Advances in Intelligent and Soft Computing, Springer Verlag, 2012, Volume 132 AISC, Pages 353-361, ISBN-978-364227442-8
  9. Boggavarapu, L.N.P., Vaddi, R.S., Vankayalapati, H.D., Anne, K.R., “Edge detection using CNN for the localization of non-standard license plate”, Advances in Intelligent and Soft Computing, Springer Verlag, 2011, Volume 95, Issue 4, Pages 685-695, ISBN-978-3-642-20319-0
  10. Vankayalapati, H.D., Anne, K.R., Kyamakya, K, “Emotion recognition from decision level fusion of visual and acoustic features using Hausdorff classifier”, Communications in Computer and Information Science, Springer Verlag, 2011, Volume 157 CCIS, Pages 601-610, ISBN-978-364222785-1
  11. Vankayalapati, H.D., Anne, K.R., Kyamakya, K., “Extraction of visual and acoustic features of the driver for monitoring driver ergonomics applied to extended driver assistance systems”, Advances in Intelligent and Soft Computing, Springer-Verlag, 2010, Volume 81, Pages 83-94, ISBN-978-364215502-4.