COMPUTER SCIENCE AND ENGINEERING

Dr. Vidyullatha Sukhavasi

Dr. Vidyullatha Sukhavasi

Assistant Professor
vidyullatha.s@bvrithyderabad.edu.in

AICTE ID: 1-7632594029
JNTUH ID: 94150407-160625
Ratification Status: Ratified

Ph.D.: Vignan’s Foundation for Science, Technology and Research, Deemed University (Pursuing) in CSE dept.
M.Tech.: JNTUH, 2013
B.Tech.: JNTUK, 2009

Teaching Experience: 10+ Years
Research Experience: 5 Years
Industry Experience: Nil

Scopus ID: 58665599100
WoS ID: KCJ-9811-2024
Google Scholar ID:  1DF375MAAAAJ&hl=en&oi=ao
Vidwan ID: 268141
ORCID ID:0000-0003-3724-9275

Machine Learning, Deep Learning, Natural Language Processing

Recognized as NPTEL Discipline Star

  1. Sundari, S., Penthala, H. R., Mogullapalli, A., Sukhavasi, V., & Nayyar, A. (2024). Women and Millets: Historical Perspective. In The Role of Women in Cultivating Sustainable Societies Through Millets (pp. 196-229). IGI Global Scientific Publishing.
  2. Sukhavasi, V., Rishitha, K., & Sucharitha, Y. (2026). Introduction to AI: Concepts, History, and Applications. In AI-Driven Threat Intelligence Frameworks: Revolutionizing Enterprise Cybersecurity (pp. 29-54). Bentham Science Publishers.
  1. Sukhavasi, V., Sistla, V.P.k. & Dondeti, V. Sarcasm detection using optimized bi-directional long short-term memory. Knowledge and Information Systems67, 2771–2799 (2025). https://doi.org/10.1007/s10115-024-02210-7 (SCIE,Q2)
  2. Sukhavasi, V., & Dondeti, V. (2024). Multi-modal sarcasm detection using ensemble net model. Knowledge and Information Systems, 1-23.(SCIE,Q2) https://doi.org/10.1007/s10115-024-02227-y
  3. Prasudha, M. L., Sukhavasi, V., Neha, K., & Lunawat, P. S. (2025). Feature selection algorithm assisted residual channel attention spatio-temporal auto encoder for video anomaly detection. Signal, Image and Video Processing, 19(1), 148.(SCIE,Q2)
  4. Sukhavasi, V., Dondeti, V. Effective Automated Transformer Model based Sarcasm Detection Using Multilingual Data. Multimedia Tools and Applications83, 47531–47562 (2024). https://doi.org/10.1007/s11042-023-17302-9 (SCIE,Q1)
  5. Sundari, S., Divya, Y., Durga, K. B. K. S., Sukhavasi, V., Sugnana Rao, M. D., & Rani, M. S. (2024). A stable method for brain tumor prediction in magnetic resonance images using finetuned XceptionNet. International Journal of Computing and Digital Systems, 15(1), 67-79.
  6. Sundari M, S., Sukhavasi, V., Kbks, D., Shaylesh Lunawat, P., & Mandya Ammangatambu, M. (2024). Optimized AlexNet For Enhanced Tuberculosis Classification Using Deep Learning. International Journal of Computing and Digital Systems, 16(1), 1509-1522.
  7. Vidyullatha Sukhavasi, P Hima, Putta Sujitha “Deep learning approach for Diabetes Risk Analysis”, Turkish Online Journal of Qualitative Inquiry (TOJQI), ISSN 1309- 6591 ,Volume 12, Issue 3, June 2021.
  8. P Hima, Putta Sujitha, Vidyullatha Sukhavasi “ICU patient content based healthcare recommendation system”, Design Engineering, ISSN 0011-9342 , Volume 2021.
  9. S.Vidyullatha, T.Nagaraju, M.S.R.Lakshmi Reddy “Audit-Free Cloud Storage with Confutable AB Encryption”, International Journal of Science, Engineering and Technology Research, ISSN 2278 – 7798, Volume 5, Issue 5, May 2016.
  1. Sukhavasi, V., & Dondeti, V. (2025, June). A Deep Learning Based Contrastive Attention Model For Multi-Modal Sarcasm Detection. In 2025 International Conference on Computing Technologies (ICOCT) (pp. 1-6). IEEE.
  2. Sukhavasi, V., Mouli, A. C., Juneja, D. V., Sucharitha, Y., Joshi, S. S., & Dey, S. (2024, December). Establishing Ensemble Learning Models for Daily Rainfall Forecasting. In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) (pp. 1-6). IEEE.
  3. Sukhavasi, V., & Yeluri, D. in Diabetic Patients Using Deep Learning Algorithms. Advances in Machine Learning and Big Data Analytics I: ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30, 173.
  4. Sukhavasi, V., & Dondeti, V. (2024, March). Sarcasm Detection using Hybrid Deep Learning framework based on Word-Emoji Embeddings. In 2024 International Conference on Recent Innovation in Smart and Sustainable Technology (ICRISST) (pp. 1-6). IEEE.
  5. Sukhavasi, V., Shanmuga Sundari, M., Nithya, K. Y., & Bairu, P. (2024, September). Spatial Temporal Signatures: A Hybrid CNN-LSTM Architecture for Improved Sign Language Recognition. In International Conference on Electronic Governance with Emerging Technologies (pp. 21-32). Cham: Springer Nature Switzerland.
  6. Gayathri, T., Kumari, R., Durga, N., Raju, P., & Sukhavasi, V. (2024, January). Segmentation and Classification of Lung Tumor Analysis using LU-Net with BBH Optimizer. In 2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 834-839). IEEE.
  7. Mariyappan, S. S., Divya, Y., Sukhavasi, V., Durga, K. B. K. S., & Samyuktha, P. (2024, July). Improved prediction accuracy for stocks using long short-term memory algorithm. In AIP Conference Proceedings (Vol. 3028, No. 1). AIP Publishing.
  8. Sukhavasi, V., Gangisetty, N., & Maharaj, N. S. (2023, December). Accuracy Prediction for Detecting Brain Tumour from MRI Images using ResNet50. In 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) (pp. 420-426). IEEE.
  9. Lakshmi Prasudha, M., Vidyullatha, S., & Divya, Y. (2023, September). Prediction of Abnormality in Kidney Function Using Classification Techniques and Fuzzy Systems. In International Conference on Advances in Data-driven Computing and Intelligent Systems (pp. 71-80). Singapore: Springer Nature Singapore.
  10. Kumar, G. R., Reddy, R. V., Pughazendi, N., Vidyullatha, S., & Reddy, P. C. S. (2023, May). Web application based Diabetes prediction using Machine Learning. In 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (pp. 1-7). IEEE.
  11. Sukhavasi, V. A Comprehensive Survey of Sentiment Analysis: Techniques, Applications and Open Problems. In International Conference on Technological Emerging Challenges in Computer and Engineering (pp. 273-284).
  1. “An Assistive Real-Time Audio-to Text Framework for the Hearing Impaired” published with Application No.202641025831 A on 20/03/2026.
  2. “A System And Method For Optimized Timeframe Brain Tumor Detection Utilizing Squeezenet Technology” published with Application No.202441008405 A on 08/03/2024.
  3. “Posture Screening System for Joint Injury Detection in Athletes Using Biomechanical Analysis” published with Application No.202441083588 A on 08/11/2024.
  4. “A System And Apparatus For Advanced Enhanced Neural Style Transfer (NST) Method Leveraging Resnet Architecture For High-Fidelity Image Synthesis” published with Application No.202341066332 A on 20/10/2023.

Nil

ACM Membership, IAENG

Nil

Nil

  1. Acted as a reviewer for journals
  2. Journal of Big Data
  3. International Journal of Data Science and Analytics
  4. Scientific Reports
  5. Social Network Analysis and Mining
  6. International Journal of Computational Intelligence Systems
  7. Iranian Journal of Science and Technology
  8. Transactions of Electrical Engineering
  9. Discover Computing
  10. International Journal of Machine Learning and Cybernetics
  11. Signal, Image and Video Processing
  1. A Hands-on Workshop on “Practical Applications of NLP: Harnessing Machine Learning and Deep Learning Models” conducted on 03rd Feb 2024.
  2. Guest Lecture on “AI Agents and the Future of Jobs” Conducted on 16-12-2025.
  3. A Two days Hands-on Workshop on “Python Programming for “Agentic AI” conducted from 9-10 January 2026.
  4. Faculty Development Program on “Agentic AI” conducted in association with CSI and Capabl. on 03rd Feb 2026.
  1. Participated in “National Conclave on Research & Deep Technologies For Sustainable Bharat 2047” organized by Research Heights Foundation from 28th Feb-01st Mar 2026.
  2. Attended one week Online Short-Term Training Program on “Artificial Intelligence for Education and Society”, under Malaviya Mission Teacher Training Program of University Grants Commission organized by the Malaviya Mission Teacher Training Centre, National Institute of Technology Warangal conducted during 4 – 10 February, 2026.
  3. S.Vidyullatha participated in AI Days 2025 Conference conducted by Viswam.AI from 12-04-2025 to 13-04-2025.
  4. S.Vidyullatha, has successfully participated & completed AICTE Training And Learning (ATAL) Academy Faculty Development Program on The Revolution of Large Language Models (LLMs) in Artificial Intelligence at VIDYA JYOTHI INSTITUTE OF TECHNOLOGY from 18/11/2024 to 23/11/2024.
  5. Attended Elevate Your Research with Elsevier: Combining Publishing Strategies with comprehensive use of Research Planning and Research Execution Methodologies at All India AICTE Colleges, on Wednesday 13 November, 2024 conducted by Researcher Academy.
  6. Completed 1 Month Online FDP on Deep Learning organized by SkillDzire in collaboration with AICTE.
  7. 5-day FDP on MATLAB for Image Analysis and Pattern Recognition : From Fundamentals to Advanced Applications from 02/09/2024 to 06/09/2024 supported by MeitY,Govt of India,conducted by Electronics and ICT Academy,C-DAC Mohali.
  8. 5- Days National Level Faculty Development Program on “EXPLORING COMPUTATIONAL INTELLIGENCE” Organized by SCOPE , VIT-AP University, Amaravati. From 16-07-2024 to 20-07-2024.
  9. 5-day FDP on Recent Trends in Artificial Intelligence and Machine learning for Smart Computing from 09th- 13th Oct 2023 organized by Department of Computer Application and Science,Institute ofEngineering and Management,Kolkata.
  10. One Week FDP on LATEX-Migrate to Latex from Word from 04th -09th Apr 2023 organized by Department of CSE & CSBS, VNRVJIET.
  11. One Week FDP on Mathematical Modeling for Data Science from 19th-24th June 2023 organized by Department of CSE(Cys, DS) and AI & DS, VNRVJIET.
  12. 5-day FDP program on Research Methodology on Machine Learning and Data Science from 10th-14th Jul 2023 organized by Department of CSE(DS),CSE(AIML &AI&DS) BVRIT Narasapur.
  13. One Week online FDP on Data Science for Engineers from 30th Jan -04th Feb 2023organized by Department of CSE(AIML and IOT), VNRVJIET.
  14. One Week online FDP on Data Science for Engineers from 23rd -28th Jan 2023 organized by Department of CSE(AIML and IOT), VNRVJIET.
  15. One Week National level online FDP on Societal Applications of Machine Learning from 26th-30th Dec 2022 organized by Department of Computer Science and Engineering, Sri Vishnu College of Engineering for Women, Bhimavaram
  16. One Week online FDP on Emerging trends & Research Oppurtunities in Computer Science from 31 Oct 2022 to 05 Nov 2022 organized by Department of Computer Science and Engineering, Madanapalle Institute of Technology & Science.
  17. 40-hour online FDP on Machine Learning and its Applications with Python Organized by E&ICT Academy, NIT Warangal and VFSTR (Deemed to be University), Guntur from 17th-26th January,2022.
  18. 10 Day National FDP on Applications on AI & Blockchain organized by Vignan’s Foundation for Science,Technology and Research in association with Malaviya National Institute of Technology-Jaipur from April 1-10,2021.
  19. One Week online short-term Course on Introductory Data Science and Deep Learning from 16 September 2021 to 20 September 2021 organized by AICTE Training and Learning (ATAL) Academy at International Institute of Information Technology, Raipur.
  20. One Week online short-term Course on Artificial Intelligence from 08 June 2020 to 12 June 2020 organized by AICTE Training and Learning (ATAL) Academy at National Institute of Technology, Warangal.
  21. One Week hands-on FDP on Artificial Intelligence using Python organized by Department of CSE & Department of IT in association with Brainovision Solutions &National Youth council of India from 14-09-2020 to 19-09-2020.
  22. One Week online FDP on Python 3 from 25 May 2020 to 31 May 2020 organized by Department of Computer Science and Engineering at Vignan’s Institute of Engineering for Women.
  23. One Week online FDP on Deep Learning for NLP from 23 November 2020 to 27 November 2020 organized by Department of Computer Science and Engineering at National Institute of Technology, Andhra Pradesh.
  24. One Week online short-term Course on Deep Learning Using Python from 03 August 2020 to 07 August 2020 organized by AppTronix in collaboration with Mahatma Gandhi Institute of Technology, Hyderabad.
  25. Two days online workshop on ML & AI Using Covid-19 Virus Data Analysis organized by Finland labs in association with National social summit, IIT Roorkee from 23-24 May 2020.
  26. Three days’ Workshop on “Android Programming” held at CMREC College.
  27. Three days’ Workshop on “Big Data Analytics” held at CMRIT College.
  28. Three days’ Workshop on “Advanced BigData Analytics with Hadoop Ecosystem” held at CMREC College.
  29. One week Workshop on “Teaching Methodologies” held at CMRCET College.
  30. Three-day national level workshop on Machine Learning and Predictive Analysis Using R-Programming held at JNTUHCES, Sultanpur.
  31. Two-day boot camp on Machine Learning and Big Data Analytics held at CMRIT by TASK team.
  32. One week workshop on Scripting Languages and Latex held at CMRIT college.
  1. Infosys Springboard SPOC
  2. NBA Criteria 2
  3. NAAC Criteria 1