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Ms. S. Prathyusha
Assistant Professor
Qualification
M.Tech in Artificial Intelligence and Data Science
Registration Number
8192-261010-143133
Email Address
prathyusha.s@aceec.ac.in
About:
Suddala Prathyusha is an Assistant Professor in the field of CSE(IOT) at ACE Engineering College , Ghatkesar. She holds an M.Tech in Artificial Intelligence and Data Science from Chaitanya Bharathi Institute of Technology (CBIT), Gandipet, Hyderabad and her B.Tech in Computer Science and Engineering from RGUKT IIIT, Basar. Her academic project work includes deep learning for MRI-based Alzheimer’s disease prediction and AI-driven resource orchestration in edge–cloud environments. Her project interests span intelligent systems, deep learning, brain-image analysis, workload prediction, and resource optimization. She is interested in explaining technical concepts clearly and supporting students through practical, application-oriented learning.
Educational Details
- M.Tech in Artificial Intelligence and DataScience, Chaitanya Bharathi Institute of Technology (CBIT), Gandipet, Hyderabad
- B.Tech in Computer Science and Engineering, RGUKT IIIT, Basar
Professional Background
- Assistant Professor, Department of CSE(IOT), ACE Engineering College, Ghatkesar – Oct 2026
Core Research Domains:
- Artificial Intelligence and Machine Learning
- Deep Learning
- Medical Image Analysis and Brain Connectivity
- Edge–Cloud Computing and AI-Driven Resource Orchestration
- Predictive Modeling and Multi-Objective Optimization
Research Focus:
Her project work explores deep-learning methods for analyzing MRI images and modeling relationships between brain regions for Alzheimer’s disease prediction. It also examines AI-driven resource orchestration in edge–cloud environments, combining workload forecasting, adaptive scheduling, and multi-objective optimization to support efficient resource utilization. These descriptions are based on the submitted minor- and major-project reports
Projects
- Stock Market Prediction Using Python — project focused on predicting stock-market trends using Python.
- An AI-Driven Resource Orchestration Framework for Edge–Cloud Environments.
- Hybrid GCN-CNN Framework for Alzheimer’s Disease Prediction Using MRI-Based Connectivity Analysis.
Conference:
- Conference Paper Presentation: “Predictive Multi-Objective Resource Orchestration in Edge-Cloud Computing,” Paper ID 621, presented at the 2026 International Conference on Electronic Systems and Artificial Intelligence Applications (ICESAIA-2026), technically sponsored by IEEE, jointly organized by Methodist College of Engineering and Technology, Hyderabad; Stanley College of Engineering and Technology for Women, Hyderabad; and Avionics Society of India, held on 17–18 July 2026.
Certified Courses:
- Java, J2EE, Testing (UI) — Corporate Training, Tecknowledge (July 2020–October 2020).
- MERN Full Stack — Course Completion Certificate, Code in Byte.
- Python with Data Science — Project Completion Certificate, AI Academia (11 December 2025).
- Python with Data Science — Industrial Training, AI Academia (August 2025–November 2025; certificate dated 30 November 2025).