Faculty
Dr. Tatiparti B Prasad Reddy
Associate Professor
Alliance College of Engineering and Design
Dr. Tatiparti B Prasad Reddy is an Expert in advanced courses of computer science like Artificial Intelligence, Machine learning, Deep Learning, Cloud Computing, Python, Internet of Things and Medical Imaging. He is having 18 years of teaching experience and worked in various administrative positions. He worked for the Ministry of Manpower -OMAN from 2012 to 2020 as a senior lecturer in the Department of Information Technology at Ibri College of Technology. He completed his Bachelor of Engineering from Bangalore University (2002) and also completed his Master in Technology from S.R.M University (2005). He holds a Doctorate of Philosophy from Vellore Institute of Technology-Chennai on “Multi-Modal Framework for effectively predicting Chronic Kidney Disease using Deep Learning on Internet of Medical Things”.
- “Ebola Deep Wavelet Extreme Learning Machine Based Chronic Kidney Disease Prediction on the Internet of Medical Things Platform” published in Concurrency and Computing Practices October 2022, https://onlinelibrary.wiley.com/doi/10.1002/cpe.7446.
- “Classification Of Chronic Kidney Disease Based On GFR, In Internet Of Medical Things Environment Using Graph Neural Network Based Deep Q Learning (GNN-DQL)” published as best research article in Research Square https://doi.org/10.21203/rs.3.rs-1625089/v1.
- “Optimization Assisted Ensemble Classification for Prediction of Chronic Kidney Disease” is communicated to the journal Neural Computing and Applications.
- “A Novel Approach of Kidney Stone Detection from CT scan Images using CNN model” is accepted by the International Journal of Imaging Systems and Technology and Applications and waiting for final approval.
- The paper with title “Modified Arithmetic Optimization with Fusion Deep Learning for Chronic Kidney Disease Classification on Internet of Medical Things Platform” is accepted in the journal AIP waiting for publishing.
- The paper with the title “Ai and IoT-Based Heart Disease Detection Using A Modified Deep Convolution Neural Network (MDCNN) Classifier” has been communicated to the International Journal of Imaging Systems and Technology and Applications and waiting for approval.
Awards won
- Best Faculty Award by Malla Reddy Group Institutions, 2007,2008,2009,2010.
- Best Faculty Award by Tirumala Engineering College, 2011,2012.
- Head of Department from 2006 – 2012.
- Best Lecturer from Ministry of Manpower,201
- “Effective Diabetic Retinopathy Classification with The Binary Convolution Neural Network” Biomedical signal processing and control is communicated to the journal Neural Computing and Applications and waiting for approval.
- “Detection and Prediction of PD disease using CNN models for MRI check pictures” Published in DRSR Journal an UGC approved journal, issn: 2347-7180 volume 10 issue 7No. 2july 2020.
- “Recognition of Facial Expression (RFE) Based Restaurants Rating System using Deep Learning Techniques” Published paper in Complexity International Journal (CIJ) Volume 25, Issue 01, March 2021 Impact Factor (2021): 5.6 ISSN: 1320-0682.
- “Artificial Intelligence (AI) Based Advanced 3D Intelligence Walking Stick to Assist the Blind People” Published paper in Journal of Interdisciplinary Cycle Research Volume XIII, Issue III, March/2021 ISSN NO: 0022-1945.
- “Ensemble Transfer Learning based Classification for Prediction of Chronic Kidney Disease” is communicated to the journal Neural Computing and Applications and waiting for approval.
- “Ensemble Swin transformers Learning based Classification for Prediction of Chronic Kidney Disease” is communicated to the journal Neural Computing and Applications and waiting for approval.
- “A Review on Multi-model Deep learning framework and Advanced techniques to Predict Renal Complications on the Internet of Medical Things Platform” is communicated to the API journal and waiting for approval.
- “Managing The Risks Of Data Abundance: An Evaluation Of Quality Variables” published in 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
- “Innovative Approaches and Multi-modal Deep Learning Frameworks for Predicting Renal Complications on the Internet of Medical Things Platform: A Comprehensive Review” accepted in ICCISD-23 conference.
- “Deep Multi-modal Fusion of Image and Non-image Using Early Submission for Enhanced Kidney Disease Prediction” accepted in the 4th Congress on Intelligent Systems (CIS 2023).
- “A Complete Review on Techniques and Challenges of Task Offloading in Edge Cloud Computing Environments” is Communicated to the Journals.
- “Development of Artificial Intelligence Assisted Hybrid Learning Scheme to Predict Parkinson Disease with Improved Accuracy” Published in IEEE conference in Apr 2023.
Conferences Conducted:
- Conducted Technical conference “Anutthara 2006,07,08,09” as C.S.E H. O. D
- Conducted Technical conference “TEC-TechFest-2011” as C.S.E H. O. D
