About
Engineering Faculty
Bio
Dr. Kamala's experience spans over 20 years teaching courses like Data Science, Machine Learning, Big Data Analytics, Data Engineering and Data Visualisation. She earned B.Tech(CSE) from Nagarjuna University and M.Tech(CSE) from Jawaharlal Nehru Technological University from India. Her Ph.D work is from University of Hyderabad and awarded from AKNU, India. Her research area is on Redescription Mining Algorithms and now her interests include Deep Learning, LLMs, Vision Transformers and Vision Language Architectures. She has published 16 in reputed Journals on Redescription Mining on different domains, Redescription Mining on Image Analysis and Sentiment Analysis. Ms. Kamala has over 34 talks presented in Seminars/Conferences/FDPs/Workshops/Invited Talks.
She is more passionate about learning and teaching tools paired with advanced technologies. Relevant to the courses she taught, she made the students to get hands-on with AI Studio, Airflow, MongoDB, Kafka, PostgreSQL, Elasticsearch, Kibana, Nifi and Nifi Registry, PowerBI, Tableau tools besides core AI development Platforms. Her intention is to make the students familiarise and work on the environments of the concepts that are taught in the Classroom so that the students are confident to work when they step into the market.
Degree & Academic Institution:
- PhD, Computer Science Adikavi
Nannaya University, India
Courses Taught:
- CS 570 - Big Data Processing and Analytics
- DS 512 - Data Engineering
- CS 360 - Data Structures
Publications:
- A Comprehensive Survey and Comparison on Story Construction Techniques Using Deep Learning for Scene Recognition, International Journal of Computer Science and Engineering, Dec 1, 2022.
- Comparison and Evaluation of Various Machine Learning Algorithms on Heart Disease Data Set, International Journal of Computer Science and Engineering, Jan 7, 2022.
- RED-DEPTH for Trust Evaluation in Social Networks, International Journal of Emerging Technologies in Computational Applied Sciences, Oct 3, 2019.
- A Community Based Reliable Trusted Framework for Collaborative Filtering, International Journal of Intelligent Systems and Applications, Jan 2, 2019.
- An Tree Based Accuracy Constrained Privacy Preserving Access Control Mechanism for Relational Data, International Journal of Advanced Technology and Innovative Research, Jan 7, 2016.
- RED-DEPTH for Trust Evaluation in Social Networks, International Journal of Emerging Technologies in Computational and Applied Sciences, Oct 10, 2015.
- A Modified Redescriptive Data Mining Technique to Relate Cyclones and Temperatures of Coastal AP, India, International Journal of Computer Applications, Jan 1, 2013.
- Redescription Mining With Three Primary Data Mining Functionalities, International Journal of Computer Science & Information Technology, Jan 8, 2012.
- Apparel Recommendation System Using Deep Learning, IJRAR – International Journal of Research and Analytical Reviews, (Date not provided).
Bio
Dr. Kamala's experience spans over 20 years teaching courses like Data Science, Machine Learning, Big Data Analytics, Data Engineering and Data Visualisation. She earned B.Tech(CSE) from Nagarjuna University and M.Tech(CSE) from Jawaharlal Nehru Technological University from India. Her Ph.D work is from University of Hyderabad and awarded from AKNU, India. Her research area is on Redescription Mining Algorithms and now her interests include Deep Learning, LLMs, Vision Transformers and Vision Language Architectures. She has published 16 in reputed Journals on Redescription Mining on different domains, Redescription Mining on Image Analysis and Sentiment Analysis. Ms. Kamala has over 34 talks presented in Seminars/Conferences/FDPs/Workshops/Invited Talks.
She is more passionate about learning and teaching tools paired with advanced technologies. Relevant to the courses she taught, she made the students to get hands-on with AI Studio, Airflow, MongoDB, Kafka, PostgreSQL, Elasticsearch, Kibana, Nifi and Nifi Registry, PowerBI, Tableau tools besides core AI development Platforms. Her intention is to make the students familiarise and work on the environments of the concepts that are taught in the Classroom so that the students are confident to work when they step into the market.
Degree & Academic Institution:
- PhD, Computer Science Adikavi
Nannaya University, India
Courses Taught:
- CS 570 - Big Data Processing and Analytics
- DS 512 - Data Engineering
- CS 360 - Data Structures
Publications:
- A Comprehensive Survey and Comparison on Story Construction Techniques Using Deep Learning for Scene Recognition, International Journal of Computer Science and Engineering, Dec 1, 2022.
- Comparison and Evaluation of Various Machine Learning Algorithms on Heart Disease Data Set, International Journal of Computer Science and Engineering, Jan 7, 2022.
- RED-DEPTH for Trust Evaluation in Social Networks, International Journal of Emerging Technologies in Computational Applied Sciences, Oct 3, 2019.
- A Community Based Reliable Trusted Framework for Collaborative Filtering, International Journal of Intelligent Systems and Applications, Jan 2, 2019.
- An Tree Based Accuracy Constrained Privacy Preserving Access Control Mechanism for Relational Data, International Journal of Advanced Technology and Innovative Research, Jan 7, 2016.
- RED-DEPTH for Trust Evaluation in Social Networks, International Journal of Emerging Technologies in Computational and Applied Sciences, Oct 10, 2015.
- A Modified Redescriptive Data Mining Technique to Relate Cyclones and Temperatures of Coastal AP, India, International Journal of Computer Applications, Jan 1, 2013.
- Redescription Mining With Three Primary Data Mining Functionalities, International Journal of Computer Science & Information Technology, Jan 8, 2012.
- Apparel Recommendation System Using Deep Learning, IJRAR – International Journal of Research and Analytical Reviews, (Date not provided).