CSE - ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

Dr. B. Lakshmi Praveena

Dr. Lakshmi Praveena Bellamkonda

HoD & Professor (CSE-AI & ML)
lakshmipraveena.b@bvrithyderabad.edu.in

AICTE ID: 1-1507495416
JNTUH ID: 2584-230413-113626
Ratified Status: Ratified

Ph.D.: Identifying Autism Spectrum Disorder at Early Stage from Variety of Data Accurately using Efficient Automated Diagnosis Methodologies Based on Deep Machine Learning Techniques, University: SPMVV, Awarded in 2022

M.Tech.: JNTUK, 2013

B.Tech : Acharya Nagarjuna University, 2010

Teaching Experience: 12 Years
Research Experience: 2Years
Industry Experience:  5 Years

Scopus ID: https://www.scopus.com/authid/detail.uri?authorId=57205298218
WoS ID: https://www.webofscience.com/wos/author/record/LJK-4703-2024
Google Scholar ID: https://scholar.google.com/citations?user=DRFRoMIAAAAJ&hl=en
Vidwan ID: https://vidwan.inflibnet.ac.in/profile/378131
ORCID ID: https://orcid.org/0000-0002-6074-7822

Machine Learning, Deep Learning, Computer Vision, Data Analytics, Natural Language Processing.

Best Thesis Award by SPMVV, Excellence in Education Award by Outlook Business

Nil

  1. Lakshmi Praveena, Attribute Based Multifactor authentication for Cloud Based Health Information System ,International Journal of Engineering Sciences Research-IJESR ,Article 09294; September 2013 ,Vol 04, 931-938 ,ISSN: 2230-8504; e-ISSN-2230-8512 JESR,Impact Factor:2.0
  2. Lakshmi Praveena, Attribute Based Multifactor authentication for Cloud Applications International Journal of Computer Applications ,October 2013 Volume 80,No:17 37-40 ISSN:0975 – 8887 IJCA, Impact Factor:3.15
  3. Lakshmi Praveena, An Efficient Tri-factor Authentication for Cloud Special Issue on Computational Science, Mathematics and Biology 16-March-2016 259-263 ISSN-2349- 8439 IJCSME- SCSMB-16-March-2016
  4. Lakshmi Praveena, Muthu Lakshmi N.V. An Overview of Social Media Analytics International Journal of Advanced Scientific Technologies ,Engineering and Management Sciences Special Issue.1,March.2017 Volume.3 137-141 ISSN: 2454-356X IJASTEMS
  5. Lakshmi Praveena, Muthu Lakshmi N.V. A Review of Graph Based Algorithms in Social Media Data Analytics Journal of Emerging Technologies and Innovative Research -JETIR February 2018 Volume 5, Issue 2 53-57 (ISSN-2349-5162) JETIR
  6. Lakshmi Praveena, Muthu Lakshmi N.V. Sentiment Analysis on Autism Spectrum Disorder using Twitter Data International Journal of Recent Technology and Engineering (IJRTE) November 2018 Volume-7 Issue-4 205-208 ISSN: 2277-3878 ,IJRTE(SCOPUS)
  7. Lakshmi Praveena, Muthu Lakshmi N.V. Prediction of Autism Spectrum Disorder Using Supervised Machine Learning Algorithms Asian Journal of Computer Science and Technology May-2019 142-145 ISSN: 2249-0701 Vol.8 No.S3, AJCST
  8. Lakshmi Praveena, Muthu Lakshmi N.V. AD-CANN: ASD Detection using Co- occurrences based Artificial Neural Networks, JARDCS 2020.(SCOPUS)
  9. Lakshmi Praveena, Muthu Lakshmi N.V, Perception of Autism Spectrum Disorder Children by Envisaging Emotions from the Facial Images,2021,IJEAT(SCOPUS)
  10. Sarada, J. ., N. M. . Lakshmi, and T. L. . Praveena. “U-Capkidnets++-: A Novel Hybrid Capsule Networks With Optimized Deep Feed Forward Networks for an Effective Classification of Kidney Tumours Using CT Kidney Images”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 10, no. 1s, Dec. 2022, 274-83, doi:10.17762/ijritcc.v10i1s.5849.(SCOPUS)
  11. Kanchi Lohitha Lakshmi, Maramreddy Umadevi, Lakshmi Praveena Bellamkonda ,Optimized truncated singular value decomposition and hybrid deep neural network with random forest for automated disease prediction, Biomedical Signal Processing and Control, Volume 100, Part B 2025, 107010, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2024.107010. (SCI-Q1)
  1. Lakshmi Praveena, Muthu Lakshmi N.V. A Methodology for Processing Opinion Mining on GST in India from Social Media Data Using Recursive Neural Networks and Maximum Entropy Techniques,Springer Lecture Notes, Social Network Forensics, Cyber Security, and Machine Learning January, 2019 Chapter -4 45-56 ISBN 978-981-13-1455-1 Springer (SCOPUS)
  2. Lakshmi Praveena , Muthu Lakshmi N.V. (2020) Detection of Autism Spectrum Disorder Effectively Using Modified Regression Algorithm. In: Venkata Krishna P., Obaidat M. (eds) Emerging Research in Data Engineering Systems and Computer Communications. Advances in Intelligent Systems and Computing, vol 1054. Springer, Singapore(SCOPUS)
  3. Lakshmi Praveena, Muthu Lakshmi N.V, A Methodology for Detecting ASD from Facial Images Efficiently using Artificial Neural Networks,CBE-2019
  4. Lakshmi Praveena, Muthu Lakshmi N.V, Predicting Sentiment & Emotion on ASD using Machine learning & Deep neural networks based on Twitter data, Worlds4 Conference 2021,London, UK.
  5. Lakshmi Praveena, Muthu Lakshmi N.V, An Enhanced Autism Spectrum Disorder Detection Model using Convolutional Neural Networks and Machine Learning Algorithms, CBE 2020, SPMVV, Tirupati, AP,India.
  6. Lakshmi Praveena, Muthu Lakshmi N.V, Multi Label Classification for Emotion Analysis of Autism Spectrum Disorder Children using Deep Neural Networks, ICIRCA 2020.
  7. N. Kalyani, T. L. Praveena, S. N. Keerthana, K. P and P. Jaligama, “Spotlight on Deception: Uncovering Hidden Manipulation,” 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA), Nagpur, India, 2024, pp. 1-5, doi: 10.1109/ICAIQSA64000.2024.10882323.
  8. Asha Vuyyuru; T Lakshmi Praveena; Akanksha Sharma; Manaswini Yelagandula; Sanjana Nelli Title:” Mental health therapist chatbot using NLP”published in:2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA),Nagpur, India,2024,pp:1-6,doi:10.1109/ICAIQSA64000.2024.10882362
  1. Neuro Disorders Diagnosis published patent in aug-2024.
  2. Heal AI Health care assistant patent published in Apr-24
  3. THE TRIPLE THREAT : YOLOV5, YOLOV8 & YOLOV9 – REINVENTING X-RAY SECURITY patent published in Nov-2024.
  4. Cognitive profiling system for enhancing placement opportunities in Higher Education patent published in Nov-2024

Nil

  • ACM member from 2016
  • CSI member from 2023
  • IAENG member from 2016

Delivered talk on Advanced Data Analytics in an FDP conducted by

Nil

  1. Reviewer for Springer conference ICICC-2024 conducted by CMR,Hyd.
  2. Reviewer for IEEE conference ICAIQSA-2024 conducted by GHRAISONI Engg College, Nagpur.
  3. Reviewer for Springer Conference BVRITCON-23 Conducted by BVRIT HYDERABAD.
  4. Reviewer for conference EAI IC4S-2023 conducted by SVES, Bhimavaram.

Organized ATAL FDP on Artificial Intelligence for Agriculture Innovation in December,2023 with a grant of 2 Lakhs.

  1. Data Analytics with R, 7 Day workshop conducted by NIT, Warangal at VVIT,Nambur  from 16/1/17 to 21/1/17
  2. Google Android Developer Course,7 Day workshop by Google, at VVIT,Nambur in Nov,2016
  3. Teaching Methodologies, 7 Day Workshop By NITTR,at VVIT,Nambur 1/6/15 to 6/6/15
  4. Train the Trainer program on “Android Development with Kotlin”, Google Developers, 31-08-20 to 5-9-20
  5. Workshop on “ Deep Learning for Computer Vision”, EICT, IIITDM, Jabalpur, 17-08-20 to 22-08-20
  6. Workshop on “Advanced Deep Learning”, Bennet University, 20-07-20 to 24-07-20
  7. Workshop on “Artificial Intelligence and Deep learning”, Bennet University, Royal Academy of Engg, May-04 to May-08,2020
  8. Workshop on “Data Analytics”, Bennet University, Royal Academy of Engg, May-27 to May-31,2020
  9. FDP on “ Data Science for All” , EICT-MEIT, 27-07-2020 to 3-08-2020
  10. FDP on “ Machine Learning and its Applications”, GIET,Rajahmundry, 10-08-2020 to 13-08-2020
  11. FDP on “Data Sceince Applications Using Python”, JNTUK , 10-08-2020 to 30-08-2020
  12. FDP on “ Web designing using React JS” , APSSDC,18-05-2020 to 30-05-2020
  13. FDP on “ Digital Image Processing using MATLAB”, DataTeach.AI, 08-06-2020 to 13-06-2020
  14. FDP on “R Programming”, Prakasam Engg College, 22-05-2020 to 28-05-2020
  15. Course on Foundational Artificial Intelligence, SkillUp, SSC NASSCOM foundation of AI.
  16. Course on Deep Learning Specialization( 5 courses), Coursera course, DeepLearning.AI
  17. Course on Python Specialization (5 Courses), Coursera , University of Michigan
  18. Course on Mathematics for Machine Learning, Coursera, Imperial College London
  19. Course on Fundamentals of Deep Learning for Computer Vision, NVIDIA Deep Learning Institute.
  20. FDP on “Data Visualization” BVRITH, 16-8-23 to 21-8-23.
  21. Conducted guest lecture on “Heuristics in Deep Learning” BVRITH, 22-07-23.
  22. Attended AWS Online Conference series from 10-7-23 to 20-7-23.
  23. FDP on “Transfer Learning” by Xavier Institute, EICT from 22-7-23 to 28-7-23.
  24. JNTUH 2 Weeks Refresher course on “Machine Learning” from 11-9-23 to 25-9-23.
  25. FDP on Generative AI by IIT,Kanpur and E&ICT from 14-11-24 to 22-11-24.
  26. NPTEL Course Java Programming in 2023, R Programming in 2024, Responsible AI in 2024
  27. NPTEL Course Python Programming in 2021, Machine Learning in 2022
  28. NITTTR FDP on Outcome Based Education and Accrediation Process in Nov-2024
  29. Infosys Spring Board Courses completed are Explore Machine Learning Using Python in jun-24, Machine Learning and Data Analytics in Nov-2023, Python for Data Science in June-24, NLP for Developers in July-24.
  30. ATAL FDP on AI for Agriculture Innovation in Dec-23
  31. ATAL FDP on Generative AI transforming Education in Jan-24
  32. ATAL FDP on Cybersense AI Navigating for Convergence of AI in Jan-24.
  33. Attended ACM Summit in dec-2024.

  • Head of Department for CSE(AI&ML) from April, 2023.

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    Major Projects Coordinator. Research and Development Coordinator.

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    Technical Trainer for Tech Mahindra COE.