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Assistant Professor
Qualification
Ph.D. (CSE)
Professional Exp.
16 Years
Registration Number
4283-231117-213922
Email Address
drramaprakashareddy@aceec.ac.in
As an Assistant Professor in Computer Science and Engineering, he has successfully built a distinguished academic career of more than 16 years with a focus on excellence in teaching, research, and mentorship of students. His dedication is towards providing a stimulating and inclusive learning environment, which enables students to acquire the knowledge and technical skills as well as critical thinking skills essential for success in the academic and corporate bourses.
The core of his pedagogy is the student-centred approach to learning with innovative methods in the context of outcome-based learning. He has delivered a variety of undergraduate and postgraduate courses and has been involved in curriculum development, institutional quality enhancement and academic administration.
His research focuses on practical application of new technologies to solve real world problems. He has actively engaged in research, academic publications, and collaborative efforts, advancing the field of Computer Science and Engineering.
His passion for education and research is unwavering, and he is committed to academic excellence, lifelong learning and innovation through outstanding teaching, significant research and meaningful engagement with students and the academic community.
Educational Details:
Academic and Professional Experience:
Academic and Professional Experience
He has over 16 years of teaching and academic experience in the field of Computer Science and Information Technology, having served in reputed institutions in both India and abroad.
Subjects Taught:
Core Research Domains:
His research interests encompass a broad spectrum of contemporary areas in Computer Science and Engineering, with a primary focus on Network Security, Artificial Intelligence, and Machine Learning. He focuses on the design of intelligent, secure and scalable computational solutions to solve real world problems. His research focus is on the application of machine learning techniques in the fields of cybersecurity, data analytics, and intelligent decision-making systems. His research interests focus on the application of new technologies, developing innovations through multi-disciplinary collaborations and industry applications. He is actively seeking research opportunities that can help him advance the state of the art of knowledge, capabilities and sustainable solutions to complex computing problems.
Research Focus:
His doctoral research entitled “Segmentation of MRI Scan Images for Pancreatic Tumor Detection Using Deep Learning Techniques,”, focused on the design and development of advanced medical image analysis frameworks based on deep learning techniques for the accurate segmentation and detection of pancreatic tumors in MRI scan images. The research advances the field of intelligent healthcare by improving the accuracy of diagnosis, early detection of illness and providing efficient and powerful image processing techniques to assist computer-aided clinical decision making.
Book Contribution:
He authored the textbook Deep Learning for Network Intrusion Detection and Threat Classification, which presents a comprehensive exploration of deep learning methodologies for intelligent cybersecurity applications. The book integrates theoretical foundations with practical implementation strategies, offering insights into advanced intrusion detection, threat classification, and AI-driven network security solutions. It serves as a valuable academic reference for students, researchers, and professionals in the fields of artificial intelligence and cybersecurity.
Patents:
Papers Reviewed:
Conference Roles: