About myself

Working in a professional atmosphere enables us to stay abreast of emerging trends and technologies, thereby expanding our knowledge base and contributing to both organizational and personal growth.

☎ Contact Details
Mr Y. BHASKAR REDDY
Assistant Professor
Department of Artificial Intelligence and Machine Learning
Gokaraju Rangaraju Institute of Engineering and Technology
Bachupally, Hyderabad-500090
TELANGANA
E-Mail: bhaskarreddy.yeddula7@gmail.com
JNTU-H ID: 6954-220711-152809
Mobile: +91-6303588927

      Curriculam Vitae

Educational Details

1. PhD (CSE) – Hindustan University (HITS) (Deemed to be a university) - 2023.
2. MTech (CSE) – St Mary’s Group of Institutions, Hyderabad – JNTUH – 2017 – 73.5%
3. B.Tech (CSE) – Sri Sai Institute of Engineering & Technology, Anantapur – JNTU A – 2013 – 63%

Professional Background

1. Worked at “VNR VIGNANA JYOTHI INSTITUTE OF ENGINEERING AND TECHNOLOGY (VNRVJIET), HYDERABAD” as an Assistant Professor from June 2022.
2. Worked in “KANDULA SREENIVASAREDDY MEMORIAL COLLEGE OF ENGINEERING (KSRM), KADAPA” as an Assistant Professor from June 2019 to Jan 2022.
3. Worked in “SIDDHARTHA INSTITUTE OF ENGINEERING AND TECHNOLOGY, PUTTUR” as an Assistant Professor from Jan 2017 to June 2019.
4. worked in "PRIMA INFO SYSTEMS, HYDERABAD" as Junior Performance Test Engineer from june 2013 to july 2015.

Administrative Experience

1. Member of Anti-Ranging Committee
2. EDC coordinator
3. Outreach activities coordinator.
4. Member of the NBA Accreditation Committee
5. Member of the NAAC Accreditation Committee
6. Academic projects Guided both major and mini projects.
7. Member of the College Admissions Committee
8. NSS Coordinator
9. Mentoring for students.
10. Class coordinator.

Courses Taught

1.Database Management Systems
2. Core Python Programming
3. Computer Networks
4. Fundamentals of Cybersecurity
5. Computational Thinking using Python
6. AD HOC and Sensor Networks
7. Information Retrieval System
8. Intellectual Property Rights (IPR)
9. Design Thinking Projects

PUBLICATIONS

1. Published "A Graph Neural Network Approach to model SDN Topology and predict Adversarial attack propagation" (IJECE – Under Review).
2. Published "Intelligent Hybrid Routing for FANETs Using ANN and Bee Colony Optimization" (IJECE – Under Review).
3. Published "A Hybrid Random Forest and Neural Network Model for Enhanced Credit Card Fraud Detection in E-Commerce" (https://ieeexplore.ieee.org/document/11159027)(IEEE) .
4. Published "Interpretable Machine Learning Models with Attention-Based Feature Attribution for High-Dimensional Tabular Data" (https://www.jisem- journal.com/index.php/journal/article/view/12230) (JISEM – Scopus).
5. Published "Machine Learning Approach on Opinion Mining About Reviews of Products in Online Shopping "(ISSN 2063-5346)(European Chemical Bulletin – Scopus).
6. Published "The Relationship between Computer Science Instructional Practices and Retention "(DOI: 10.17577/IJERTV10IS070084) (IJERT).
7. Publsihed "Preventing Interference Detection in Multi-Tier Cyber Security Applications" (IJERT).
8. Published "Privacy-Preserving Ranked Multi-Keyword Search for Multiple Data Owners in Cloud Computing "(IJERT).

PETENTS FILED

1. Integration of Machine Learning and Neuroscience for Early Diagnosis and Prognosis of Neurological Disorders.

COURSE (WORKSHOP/FDP) ATTENDED

1. IBM faculty development program on Web Applications.
2. FDP on Data visualization by NITW.
3. FDP on Instructional Design and Delivery Systems by NITTTR
4. IBM faculty development program on Data structures.
5. A National Level Workshop on “Satellite and radar communications.
6. FDP on Applied machine learning and deep learning.
7. Faculty Refresher Program on C programming and Data structures
8. NPTEL Awareness workshop
9. Research Trends And pracical applications on ML.
10. How to publish good research articles in high impact factors.

Professional work

CERTIFICATIONS

1. Completed certification successfully in the Advanced Python Programming – Pantech e-Learning Institute.
2. Completed certification successfully in the Data Science 2.0 – Pantech e-Learning Institute.
3. Completed certification successfully in the Machine Learning Foundation – Pantech e-Learning Institute.

BOOKS PUBLISHED

1. Python Programming – A Modern Approach (Zenodo Publishers), RK Publications. ISBN:978-81-974272-3-7.

COURSE (WORKSHOP/FDP) ORGANIZED

1. Faculty Development Program on Generative AI for Engineering.
2. Faculty Training Program on Explainable AI and its Applications for Engineering.

START-UP PROJECT GUIDED

1. Purple Dry application : Streamlining Ironing for Busy Lives in India