Dr. Koppisetti Giridhar
Qualification : Ph.D. (Annamalai University)
Designation : Asst. Professor
Email: [email protected]
Details of Educational Qualification:
| Course | Specialization | Branch | Institute / University | Year of Passing |
|---|---|---|---|---|
| Ph.D. | Wireless Sensor Networks | CSE | Annamalai University | 2024 |
| M.Tech. | CSE | CSE | Prasiddha College of Engineering & Technology, JNTUK, Kakinada | 2014 |
| B.Tech. | CSE | CSE | B.V.C. Institute of Technology and Science, JNTUK, Kakinada | 2010 |
Research Areas:
- Wireless Sensor Networks, Machine Learning, Deep Learning
Research Identifiers:
- Scopus : https://www.scopus.com/authid/detail.uri?authorId=57210207686
- Vidwan : https://vidwan.inflibnet.ac.in/profile/460684
- Google scholar : https://scholar.google.com/citations?user=yOErVsgAAAAJ&hl=en&oi=ao
- h-Index (As per Scopus Data) : 3
Publication Details:
| S.No | Publication Affiliation | Academic Year | Author Position | Details of Research Publication | Indexing | Publication | Journal Quartile (Q1/Q2/Q3/Q4) |
|---|---|---|---|---|---|---|---|
| 1 | MITS | 2025-26 | 1 | Enhancing Non-Alcoholic Fatty Liver Disease Prediction with Machine Learning and Recursive Feature Elimination | Scopus | Article | Q2 |
| 2 | MITS | 2025-26 | 1 | Dual-Band Antennas for AI-Enabled Autonomous Vehicle-to-Infrastructure Communication | Scopus | Conference Proceedings | None |
| 3 | MITS | 2025-26 | 1 | A Holistic Examination of Employee Retention using Machine Learning | Scopus | Article | Q4 |
| 4 | MITS | 2024-25 | 3 | Block-chain Enabled Strategies for Efficient Power Loss Management in Distribution Networks | Scopus | Article | Q4 |
| 5 | MITS | 2024-25 | 2 | A Novel Machine Learning Technique by Several Meta and Naïve Bayes Method to Predict Full Load Electrical Power Output of Base Load Operated Combined Cycle Power Plant | Scopus | Article | Q3 |
| 6 | MITS | 2024-25 | 4 | Cloud computing environment based hierarchical anomaly intrusion detection system using artificial neural network | Scopus | Article | Q4 |
| 7 | MITS | 2024-25 | 1 | IoT-driven sport activity recognition system empowered by deep learning and wearable technology | Scopus | Article | None |
| 8 | MITS | 2023-24 | 2 | EEG-Based Brain-Computer Interfaces Using Gazelle Optimization Algorithm with Deep Learning for Motor-Imagery Classification | Scopus | Article | Q4 |
| 9 | Others | 2022-23 | 1 | Energy Efficient Clustering with Heuristic Optimization based Routing Protocol for VANETs | Scopus | Article | Q2 |
| 10 | Others | 2022-23 | 1 | Energy Efficient Hill Climbing Based Red Deer Algorithm for Optimal Route Selection in Vehicular Adhoc Networks | Scopus | Article | Q3 |
| 11 | Others | 2022-23 | 1 | Quasi Oppositional Artificial Fish Swarm Optimization Based Multi-Hop Routing Protocol for Vehicular Adhoc Networks | Scopus | Article | Q4 |
| 12 | Others | 2018-19 | 2 | Modified Ant Colony Optimization (ACO) Algorithm for Routing in Vehicular Adhoc Networks | Scopus | Article | None |
| 13 | Others | 2018-19 | 1 | Review on Various Routing Techniques in Wireless Ad-hoc Networks | Scopus | Article | Q4 |
| 14 | Others | 2018-19 | 3 | Working Principle of Li-Fi Technology and Its Deployment in IoT Applications | Scopus | Conference Proceedings | None |
| 15 | Others | 2017-18 | 2 | Verification of Vehicles Based on Images by Tree Generation | Scopus | Article | None |
Patents
| S.No | Affiliation | Academic Year | Application ID | Title of the Patent | Status |
|---|---|---|---|---|---|
| 1 | MITS | 2024 | 409759-001 | INDUSTRIAL IOT BASED SMART LOCKING UNIT | Published |
| 2 | MITS | 2025 | 445871-001 | AI BASED BATTERY FOR ELECTRIC VEHICLE | Published |
| 3 | MITS | 2025 | HELMET SYSTEM USING IOT FOR ENHANCING RIDER SAFETY | Filed |
Awards/Achievements
- Received Best Faculty award from SRIMEDHAN Technologies (an MSME registered organization) in the year 2024.