Dr. Raghu Kumar L
Associate Professor & HoD
+91 94902 44991
hod.cse@kgr.ac.in

Biography
Dr. Raghu Kumar Lingamallu is an Associate Professor in the field of Computer Science with specialization in Artificial Intelligence and Software Engineering. He is currently working at K.G. Reddy College of Engineering and Technology, Hyderabad (2016–Present).

He has over a decade of teaching and research experience, previously serving as Assistant Professor at:

• Princeton Institute of Engineering & Technology for Women (2015–2016)
• YPR College of Education (2010–2015)
• He is a Life Member of the Computer Society of India (since 2019).
• He has actively served as Chairman, Coordinator, and Member in various academic committees including Department Development Committee, Project Review Committee, Program Assessment Committee, and Finance Committee.

Research Interests:

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Internet of Things (IoT)
• Data Mining
• Healthcare Analytics
• Smart Systems & Automation
• Computer Vision
• Cloud Security
• Educational Data Analytics

Teaching Interests

• Artificial Intelligence
• Machine Learning
• Software Engineering
• Data Mining
• Computer Networks
• IoT Systems
• Deep Learning Applications
• Research Methodology

Publications

• Transformative Role of Private AI in Secondary Education (2025)
• AI-enhanced Learning: Converting Educational Data into Tailored Question Papers and Responses (2025)
• CraftHarbor – A Customization-based E-commerce Platform for Clothing (2025)
• Prediction of Stock Trading using Machine Learning Algorithms (2025)
• Intelligent Classification Techniques using Fuzzy CNN for Face Detection (2025)
• Heart Disease Prediction using Machine Learning (2025)
• Driver Drowsiness Detection (2025)
• Content-Based Image Retrieval using Deep Learning (2025)
• Smart Air Quality Monitoring using IoT (2024)
• Integrative Approach for Modern Health Risk Modeling using AI (2024)
• Security Enhancement in Surveillance Cloud using ML (2023)
• Smart Medical Assistance using Soft Computing (2023)
• Automated Early Phase Breast Cancer Detection using Hybrid ML (2023)
• Detecting Cardiomegaly from CXR Images using CNN (2023)
• Optimization Model for Sub-feature Selection in Data Mining (2019)

(Also multiple conference proceedings in AIP, MATEC Web of Conferences, E3S Web of Conferences, and International Journals.)
Awards & Honors

• Life Member – Computer Society of India (2019)
• Chairman – Department Development Committee (2024)
• Chairman – Project Review Committee (2024)
• Chairman – Finance Committee (2024)
• Program Assessment Committee Coordinator (2024)
• (No specific awards mentioned in the document.)

Education

• Ph.D. (2023) – OPJS University
• M.Tech (2009) – Aurora’s Research and Technological Institute
• B.Tech (2006) – Swarnandhra College of Engineering & Technology