Adama Science and Technology University - Ethiopia
AUTHOR PROFILE
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EARLY ACADEMIC PURSUITS
Dr. Tiruveedula Gopikrishna began his academic journey in the field of Computer Science and Engineering. His early academic pursuits laid the foundation for his future contributions in the realm of technology and information sciences.
PROFESSIONAL ENDEAVORS
Having demonstrated a keen interest in the field, Dr. Gopikrishna embarked on a professional journey that led him to the position of Assistant Professor and subsequently Associate Professor at Adama Science & Technology University in Ethiopia. His commitment to academia reflects in his multifaceted roles and responsibilities.
CONTRIBUTIONS AND RESEARCH FOCUS ON CANCER SCIENCE
Dr. Gopikrishna's expertise encompasses a diverse range of subjects, including Data Science, Big Data, Artificial Intelligence, Machine Learning, Deep Learning, Distributed Systems, Data Warehousing, Data Mining, Cloud Computing, C, Python, C++, Java, Web Technologies, and SQL. His research focus extends to critical areas such as Big Data Analytics and Visualization, Software Testing Methodologies, Middleware, and the intersection of big data with cloud computing.
IMPACT AND INFLUENCE
Dr. Gopikrishna's impact is evident in the significant contributions he has made to the academic and research community. His influence extends beyond the classroom, shaping the minds of aspiring technologists and researchers under his guidance.
ACADEMIC CITES
The academic prowess of Dr. Gopikrishna is underscored by his extensive experience in teaching undergraduate and postgraduate subjects. He has been instrumental in guiding 56 undergraduate projects and supervising 4 master's degree theses, showcasing his commitment to fostering academic excellence.
LEGACY AND FUTURE CONTRIBUTIONS
As an Associate Professor, Dr. Gopikrishna has already established a legacy in academia. His dedication to shaping the next generation of tech professionals and researchers is evident. Looking forward, his future contributions are poised to further enrich the fields of Computer Science and Information Technology, leaving an indelible mark on the academic landscape.
NOTABLE PUBLICATIONS
An Improved Switch Migration Method Based Efficient Load Balancing for Multiple Controllers in Software Defined Network. 2023
DDoS Attack Detection and Classification Using Hybrid Model for Multi-controller SDN. 2023 (3)
Classification of Brain Tumor Types on Magnetic Resonance Images Using Hybrid Deep Learning Approach with Radial Basis Function Neural Network. 2022
Breast Cancer Classification from Mammogram Images Using Extreme Learning Machine-Based DenseNet121 Model. 2022 (5)
Designing and Developing Bilingual Chatbot for AssistingEthio-Telecom Customers on Customer Services. 2022