| S No |
Name of the Teacher |
Name of the Scholar |
Title of the Thesis |
Awarded Year |
| 1. |
Prof Kanadam Karteeka Pavan |
T. Hymavathi |
Microarray based computational Analysis for Identifying Influential Genes in Breast Cancer |
OCT 2025 |
| 2. |
Prof Kanadam Karteeka Pavan |
P. Jeevana Jyothi |
Dynamic variants Evolutionary Optimization Methods for Sequence Alignment |
DEC 2022 |
| 3. |
|
Pradeep Venuthurumilli |
Optimized Energy and Deadline Aware Scheduling in Cloud |
MAR 2022 |
| 4. |
|
Srinivasa Rao Kanusu |
A Hybrid Meta Heuristic Approach for Optimized Visual Cryptography |
AUG 2021 |
| 5. |
|
C.Priya Ranjani Akunuri |
A Distributed Web Usage Mining Based Recommender System In Big Data Analytics |
JUN 2021 |
| 6. |
Prof Kanadam Karteeka Pavan |
G.V.L.N. JayaPrada |
Novel Evolutionary Algorithms with new mutants for Sequence Alignment |
MAR 2021 |
| 7. |
|
Kallipalli Venkata Raju |
REVIEW BASED SENTIMENT PREDICTION OF RATING USING NATURAL LANGUAGE API WITH BOW APPROACH |
NOV 2020 |
| 8. |
|
Kotari Sridevi |
SECURE AND QoS ROUTING ENHANCEMENT THROUGH NODE TRUST COMPUTAION MEASURES IN MANETS |
DEC 2019 |
| 9. |
|
Sirisati Ranga Swamy |
A Greedy Stochastic Diffusion Search Based Fuzzy With Energy & Security Aware Scheduling In Cloud |
AUG 2019 |
| 10. |
Prof Kanadam Karteeka Pavan |
K. Rama Chandra Rao |
A Triology of Automatic Clustering Algorithms using Teaching Learning Based Optimization |
MAR 2019 |
| 11. |
Prof Kanadam Karteeka Pavan |
N. Srinivas |
Relative Performance of some selective pattern Recognitin Algorithms - Big Data Analytics |
JUN 2015 |
