Awards and Appreciation received

• Received certificate of excellence from Samsung Prism for the worklet Image Processing | Detection and counting of potholes using video sequence.

Other Responsibilities

• Technical Program chair for International Conference on Computing and Intelligent Information Systems (ICCIIS-2024)
• Session Chair for International Conference on Computing and Intelligent Information Systems (ICCIIS-2024)
• Reviewer for International Conference on Computing and Intelligent Information Systems (ICCIIS-2024)
• Reviewer for International Conference on Distributed Computing and Optimization Techniques.
• Reviewer for International Conference Series of IEEE Mysore Subsection in association with IEEE Bangalore Section
• Reviewer for 2nd International Conference on Intelligent and innovative technologies in computing Electrical and Electronics
• Mentor for Samsung Prism worklet from December 2022 till date · Mentor for Honeywell Student Empowerment Program held from 08 February 2023 to 23 February 2023.
• Department NAAC Coordinator.
• Organizer for five days ATAL FDP on “Machine Learning in Infotainment Systems” from 13^th to 17^th December 2021.
• Organizer for one week faculty development program on “Cloud Computing”  from 11th to  16^th July 2016, conducted by department of ISE, BNMIT.
• Convener for one week faculty development program on “IT Infrastructure Management Services” from 5th to 9th January 2015, conducted by department of ISE, BNMIT in association with Engineering Staff College of India, Hyderabad.

Professional Memberships

• The Indian Society for Technical Education (ISTE) Life Member – LM133053

Expertise / list of Subjects handled

• Software Architecture
• File Structures
• File Structures Lab with mini Project
• Operating System
• Analog and Digital Electronics
• Analog and Digital Electronics Lab
• Discrete Mathematical Structures
• Design and Analysis of Algorithms Lab
• Object Oriented Programming Lab
• Data Structures Lab
• Computer Systems Performance Analysis (MTech.).
• Computer Organization
• Software Architecture and Design Patterns
• Data Mining and Data Warehousing

Participation in Training courses/Seminars/Workshops

• Participated in “Intellectual Property Right Conclave – 2024” on 14th and 15th March 2024 at BNMIT
• Participated in “VTU  Consortium and E Resources” on 5th December 2023 at RNSIT
• Participated in “Augmented Reality & Virtual Reality and its applications”  FDP from 6th November to 10th November 2023 at BNMIT
• Participated in Microsoft, SAP and AICTE led FDP on AI Evolution: From Foundations to Generative AI under TechSaksham from 22nd January 2024 to 27th January 2024
• IBM Skill build in person Faculty Buildathon on Data Analytics with Cognos at MSRTI from 21 July 2023 to 26 July 2023
• AICTE – VTU Joint Teachers Training Programme sponsored FDP on Introduction to Python Programming & its Applications from 13th to 17th March 2023
• 5 days FDP by TechSaksham on Artificial Intelligence during 16th Jan. 2023 – 20th Jan. 2023 at Bengaluru ( Online)

Research Interest

• Research Interest – Deep Learning and Image Processing

Journal

International Journals:

1. Lalitha, Jagruthi H, Laxmi V, Dibyhash Bordoloi, N. Alangudi Balaji, Ramesh Singh Rawat,” Use of Machine Learning and Deep Learning Techniques to Predict Cases of Hospitalizations Caused by Dengue”, IEEE Conference on Advances in computing, communication, and Applied Informatics-ACCAI2023, 25th and 26th May 2023 organized by St. Joseph’s College of Engineering, Chennai, India.
2. Mekala K, Laxmi V, Jagruthi H, Shiv Ashish Dhondiyal, Sridevi.R, Amar Prakash Dabral, “Coffee Price Prediction: An Application of Cnn-Blstm Neural Networks”, IEEE Conference on Advances in computing, communication, and Applied Informatics-ACCAI2023, 25th and 26th May 2023 organized by St. Joseph’s College of Engineering, Chennai, India.
3. Srilatha Chahna Nallamalli, Akanksha Tiwari, Laxmi V, “cGAN-based Sketched Image Art Generator Using Deep Learning”, IEEE Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems, 19th to 21st April 2023, Bangalore Institute of Technology Bengaluru.
4. Laxmi V Keerthi S H, Shravya “Image To Text And Speech Synthesis”, International Journal of Emerging Technologies and Innovative Research, JETIR May 2023.
5. Laxmi V Lokesh Babu P N, Sachith S Pai, “House Price Predication & Recommendation System Using Ml”, International Journal of Emerging Technologies and Innovative Research, JETIR May 2023.
6. Laxmi V Manjari S M, Himanshu Attri, “A Deep Learning Model for Soil Detection and Crop Recommendation for Small Farmers”, International Journal of Emerging Technologies and Innovative Research, JETIR May 2023.
7. Laxmi V, Roopalakshmi R, ” Machine Learning based Prediction Model for Consumability Analysis of Mango Fruits“, published in International Journal for Modern Trends in Science and Technology, June 2022, doi: https://doi.org/10.46501/IJMTST0806088
8. Laxmi V, Roopalakshmi R, “A novel frame work for detection of chemically ripened mango fruits using dominant colour descriptors”, published in Scopus and Intelligent Systems and Computer Technology, (CC BY-NC 4.0). doi:10.3233/APC200114, pp 18 – 27, IOS Press,
9. Laxmi V, Roopalakshmi R, “Detection of Chemically Matured Mango Fruits using Laplacian Descriptors and Scale Determinants ”, published in Elsevier – SSRN, Vol 1 ,pp 424- 433,

Research Publications

1. Laxmi V, Srilatha Chahana, Akanksha Tiwari, Jagruthi H, “Intelligent Art Transformation using Conditional GANs for Image Classification, Sketch-to-Image Synthesis and Object Detection”, ICCIIS-2024, Taylor and Francis
2. K, Mekala and V, Laxmi and H, Jagruthi and Dhondiyal, Shiv Ashish and Sridevi.R and Dabral, Amar Prakash, “Coffee Price Prediction: An Application of CNN-BLSTM Neural Networks,” 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India, 2023, pp. 1-7, doi: 10.1109/ACCAI58221.2023.10199369.
3. Lalitha, T. and H, Jagruthi and V, Laxmi and Bordoloi, Dibyhash and Balaji, N. Alangudi and Singh Rawat, Ramesh, “Use of Machine Learning and Deep Learning Techniques to Predict Cases of Hospitalizations Caused by Dengue,” 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India, 2023, pp. 1-7, doi: 10.1109/ACCAI58221.2023.10199840
4. Srilatha Chahna Nallamalli, Akanksha Tiwari, Laxmi V, “cGAN-based Sketched Image Art Generator Using Deep Learning”, IEEE Conference on Advances in Electronics, Communication, Computing, and Intelligent Information Systems, 19th to 21st April 2023, Bangalore Institute of Technology Bengaluru.
5. Keerthi S H, Shravya, Laxmi V, “Image to Text and Speech Synthesis”, International Journal of Emerging Technologies and Innovative Research, JETIR, May 2023, Volume 10, Issue 5, pp 1 – 5, ISSN-2349-5162
6. Lokesh Babu P N, Sachith S Pai, Mrs.Laxmi V, “ HOUSE PRICE PREDICTION & RECOMMENDATION SYSTEM USING ML”, International Journal of Emerging Technologies and Innovative Research,  JETIR, May 2023, Volume 10, Issue 5, pp 285 – 290, ISSN-2349-5162
7. Manjari S M, Himanshu Attri, Mrs. Laxmi V, “ A Deep Learning Model for Soil Detection and Crop Recommendation for Small Farmers”, International Journal of Emerging Technologies and Innovative Research,  JETIR, May 2023, Volume 10, Issue 5, pp 437-441, ISSN-2349-5162

Conference

1. T. Lalitha, Jagruthi H, Laxmi V, Dibyhash Bordoloi, N. Alangudi Balaji, Ramesh Singh Rawat,” Use Of Machine Learning And Deep Learning Techniques To Predict Cases Of Hospitalizations Caused By Dengue”, IEEE Conference on Advances in computing, communication, and Applied Informatics-ACCAI2023, 25th and 26th May 2023 organized by St. Joseph’s College of Engineering, Chennai, India.
2. Mekala K, Laxmi V, Jagruthi H, Shiv Ashish Dhondiyal, Sridevi.R,, Amar Prakash Dabral, “Coffee Price Prediction: An Application Of Cnn-Blstm Neural Networks”, IEEE Conference on Advances in computing, communication, and Applied Informatics-ACCAI2023, 25th and 26th May 2023 organized by St. Joseph’s College of Engineering, Chennai, India.
3. Srilatha Chahna Nallamalli, Akanksha Tiwari, Laxmi V, “cGAN-based Sketched Image Art Generator Using Deep Learning”, IEEE Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems, 19th to 21st April 2023, Bangalore Institute of Technology Bengaluru.
4. Laxmi V, Roopalakshmi R, “A novel frame work for detection of chemically ripened mango fruits using dominant colour descriptors”, presented in 3^rd International Conference on COMET, Chennai, March 2020.
5. Laxmi V, Roopalakshmi R, “Detection of Chemically Matured Mango Fruits using Laplacian Descriptors and Scale Determinants ”, presented in 2^nd International Conference on ISMAC- CVB , Tamilnadu, September 2020,

National

1. Divya S, Laxmi V, “Empowering Trustworthy Valuation of Reviews in Service – Oriented Social Networks.”, National Conference on Advances in Information Technology.

Book / Book Chapters

• “Laxmi V, Dr. Roopalakshmi R, “Artificially Ripened Mango Fruit Prediction System Using Convolutional Neural Network”, Intelligent Systems and Sustainable Computing, Smart Innovation, Systems and Technologies, Springer Nature, 2022, https://doi.org/10.1007/978-981-19-0011-2_32

Hobbies

I am a classical Bharatanatyam dancer and interested in learning devotional songs.

Sports

I like to play out door games and cycling.

Music

love to listening to songs and music by SPB, Mr. Vijay Prakash, Mr. Raghu Dixit, Arijit Singh, Hariharan.

Any other things

Loves cooking, travelling, socializing, yoga, trekking.