Mrs. TULASI MIRIYALA
HOD, Associate Professor
Department of Computer Science.
AQJ Centre for PG Studies.
Education
MCA, M.Tech ,(Ph.D)
She is a dedicated academic professional with MCA and M.Tech degrees and is currently pursuing a Ph.D. at Andhra University. With 10+ years of experience as an Assistant Professor, she has expertise in both technical and non-technical subjects. Her research work in machine learning includes multiple publications in reputed journals and conferences. She has cleared UGC-NET and APSET (2024) and actively engages in academic development through FDPs. As the Institution’s Innovation Council (IIC) Convener, she contributes to fostering innovation, entrepreneurship, and startup culture on campus.
Research Publications :
An Ensemble Model for Early Prediction of Diabetes Using Machine Learning Algorithms, Link: https://doi.org/10.1007/978-3-031-84513-0_10, Springer Nature
Plant Disease Detection and Supplement Recommendation using CNN, Journal of Emerging Technologies and Innovative Research (JETIR) | ISSN: 2349-5162. https://www.jetir.org/papers/JETIR2405H29.pdf
Object Detection using RESNET50, International Journal of Creative Research Thoughts (IJCRT) | ISSN: 2320-2882. Link: http://www.ijcrt.org/papers/IJCRT2401870.pdf
Similar Product Recommendation System using KNN, Journal of Emerging Technologies and Innovative Research (JETIR) | ISSN: 2349-5162. https://www.jetir.org/papers/JETIR2310717.pdf
Detection of Abnormal Leucocytes Using Machine Learning Algorithms, International Journal of Creative Research Thoughts (IJCRT) | ISSN: 2320-2882. http://www.ijcrt.org/papers/IJCRT2305684.pdf
Expertise :
Good at teaching core subjects like Data Structures, Web technologies, Operating System, Computer Graphics, Computer Networks, Software Engineering, Database Management Systems, Data Science, Data Warehousing & Data Mining, Artificial Intelligence, Machine Learning, Compiler Design.
Good at teaching noncore subjects like Computer Organization, Operation Research, Discrete Mathematical Structures, Business Analytics Probability Statistics & Queuing theory.
Experienced :
She is a dedicated academic professional with MCA and M.Tech degrees and is currently pursuing a Ph.D. at Andhra University. With 10+ years of experience as an Assistant Professor, she has expertise in both technical and non-technical subjects. Her research work in machine learning includes multiple publications in reputed journals and conferences. She has cleared UGC-NET and APSET (2024) and actively engages in academic development through FDPs. As the Institution’s Innovation Council (IIC) Convener, she contributes to fostering innovation, entrepreneurship, and startup culture on campus.