Faculty

Dr. Janardhan Reddy Ummadi
Professor
Alliance School of Advanced Computing
Dr. Janardhan Reddy Ummadi is a Department of Computer Science and Engineering Professor with over 15 years of academic and administrative experience, specializing in machine learning, deep learning, and artificial intelligence. He earned his Ph.D. from Jawaharlal Nehru Technological University, Anantapur, in 2019 and holds an M. Tech from JNTU Kakinada and a B. Tech from JNTU Hyderabad. Dr. Ummadi is known for his innovative, technology-driven teaching methods and commitment to student success and academic excellence. He actively contributes to curriculum enhancement, research development, and departmental advancement. As a dedicated researcher and lifelong learner, he has published extensively in reputed journals indexed by SCI and Scopus and is also a reviewer. He is a Senior Member of IEEE, a member of the IEEE Computer Society, and a Life Member of both CSI and ISTE.
- P. Dhanalakshmi, U. Janardhan Reddy, G. Ravikanth, Prasanthi Samathoti, Gandikota Ramu. (2024). “COVID-19 Twitter Data Analysis Using LSTM and BERT Techniques”. International Journal of Engineering Trends and Technology, 72(1), 219-228.
- Janardhan Reddy, U., Venkata Ramana Reddy, B., & Eswara Reddy, B. (2023). “Unsupervised feature selection approach for cancer prediction”. IETE Journal of Research, 69(4), 1891-1896.
- P. Dhanalakshmi, U. Janardhan Reddy, M. Ranjit Reddy, G. Ravikanth. (2023). “Machine Learning based Electric Vehicle Charging Management under the Optimization of Flyback Converter for Solar Photovoltaic Applications”. International Journal of Electrical and Electronics Engineering, 10(9), 137-153.
- Sultana, S. N., Reddy, U. J., & Reddy, V. N. (2022). “Fast Watershed Segmentation for Breast Cancer Detection”. International Transactions on Electrical Engineering and Computer Science, 1(2), 68-74.
- Reddy, U. J., Reddy, B. V. R., & Reddy, B. E. (2021). “LESH-feature extraction and cognitive machine learning techniques for recognition of lung cancer cells”. International Journal of Computer Aided Engineering and Technology, 15(1), 32-45.
- Lakshmi, L., Reddy, M. P., Santhaiah, C., & Reddy, U. J. (2021). “Smart phishing detection in web pages using supervised deep learning classification and optimization technique ADAM”. Wireless Personal Communications, 118(4), 3549-3564.
- Ummadi Janardhan Reddy, Theyyagura M K Reddy. (2020). “Performance Analysis of Vehicle Insurance Calculation Methods”. International Journal of Advanced Science and Technology, 29(3), 10093-10104.
- Krishna, P. S., Reddy, U. J., Patibandla, R. L., & Khadherbhi, S. R. (2020). “Identification of lung cancer stages using efficient machine learning framework”. Journal of Critical Reviews, 7(6), 385-390.
- Vasanthi, P., Prathiba, J., & Ummadi Janardhan, R. (2020). “Effective Ensemble Strategies for Predicting the Cardiac Diseases”. International Journal of Advanced Science and Technology, 29(8), 1665-1674.
- Nazma Sultana Shaik, Ummadi Janardhan Reddy, S Nyamathulla, M Kiran Kumar. (2020). “Lung Cancer Prediction using SVC and SVM Models”. International Journal of Advanced Science and Technology, 29(7), 4822-4828.
- Prathiba Jonnala, Ummadi Janardhan Reddy. (2020). “Evaluating of Routing Protocol Performance in Wireless Sensor Networks”. International Journal of Advanced Science and Technology, 29(3), 10087-10092.
- Reddy, U. J., Ramana Reddy, B. V., & Reddy, B. E. (2019). “Categorization & recognition of lung tumor using machine learning representations”. Current medical imaging reviews, 15(4), 405-413.
- Reddy, U., Reddy, B., & Reddy, B. (2019). “Recognition of Lung Cancer Using Machine Learning Mechanisms with Fuzzy Neural Networks”. Traitement du Signal, 36(1), 87-91.
- Reddy, U. J., Rao, K. S. K., Bhat, M. N., & Sastry, K. B. S. (2016). “Falsification: An Advanced Tool for Detection of Duplex Code”. Indian Journal of Science and Technology, 9, 39.
- K.Praveen Kumar, U. Janardhan Reddy, A. Ranganadha Reddy, N. ShyamalaDevi “Homology Modeling and Docking Studies of MPT 51 Protein in Mycobacterium leprae” International Journal of ChemTech Research, Vol.6, No.7, pp 3864- 3882, Sept-Oct 2014, ISSN: 0974-4290. (Scopus)
Book Chapters:
- Gayathri, N., Kumar, S. R., Reddy, U. J., Reddy, M. R., & Ravikanth, G. (2025). “Deep Generative Models Insights and Applications”. In Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers (pp. 361-380). IGI Global.
- Gayathri, N., Kumar, S. R., Reddy, U. J., Reddy, M. R., & Ravikanth, G. (2024). “Early Parkinson's Disease Diagnosis Using Multi-Modal CASENet CNN-LSTM”. In Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) (pp. 248-264). IGI Global.
- Dhanalakshmi, P., Reddy, U. J., Ravikanth, G., Nandini, C., Sunitha, G., & Avanija, J. (2024). Emerging Trends in Mobile Hardware and Design. The Future of Mobile Computing, 77.
- Dhanalakshmi, P., Nandini, C., Reddy, U. J., Reddy, M. K, Balaji V, & Avanija, J. (2024). “The role of AI in mobile computing”. The Future of Mobile Computing (pp. 97-120).
Leadership & Administrative Roles
- Served as Associate Dean, Internal Quality Assurance Cell (IQAC) at VFSTR and JAIN University, playing a key role in securing UGC 12B recognition, NIRF ranking, AICTE approvals, NBA and NAAC accreditation.
Certifications
- Harnessing the Power of Data with Power BI. (Coursera), etc.,
- Machine Learning in (NPTEL)
- Inculcating Universal Human Values in Technical Education- All India Council for Technical Education (AICTE)
FDPs/Workshops
- Attended a Two-Day Workshop on “Outcome-Based Education” conducted by National Institute of Technical Teachers Training and Research (NITTTR), Chandigarh.
- Participated in Faculty Development Programmes such as “Generative AI Models and Applications of Machine Learning” and “Deep Learning and Applications.”
Research Engagement & Community Contribution
- Organized and served as Organizing Secretary for national and international conferences like ICCIDE 2018 (Springer) and RAIT 2019.
- Mentored numerous UG and PG research projects and served as University Exam Cell Coordinator.
- U. Janardhan Reddy " Advanced Student Attendance System with Deep Learning based Face Recognition" International Conference on Intelligent Computing advances in Communication (ICAC 2024). (Springer)
- P. Dhanalakshmi, U. Janardhan Reddy, M. Ranjit Reddy " Automated Irrigation and Lighting System for Monitoring House Plants" International Conference on Intelligent Healthcare and Computational Neural Modeling (ICIHCNN-22). (Springer)
- P. Dhanalakshmi, U. Janardhan Reddy, G. Ravikanth " Convolution Neural Network Approach for Detecting Face Mask using Tensor Flow" International Conference on Multidisciplinary Research in Technology and Management (ICMRTM23). (IEEE)
- Bindu, G. H., Reddy, U. J., & Bindu, G. H. (2022, October). “Evaluation of Safety and Secure Message Communication in Vehicular Network”. In 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC). IEEE.
- Ummadi, J. R., Venkata Ramana Reddy, B., & Eswara Reddy, B. (2017, December). “A novel statistical feature selection measure for decision tree models on microarray cancer detection”. In Proceedings of International Conference on Computational Intelligence and Data Engineering: ICCIDE 2017 . Singapore: Springer Singapore.