Summary
Mr. Lakshmi Srinivas Panchananam is a passionate Computer Science Engineering undergraduate at the National Institute of Technology Puducherry with a stellar CGPA of 9.41. He specializes in deep learning applications in agriculture and cybersecurity, with a focus on multi-scale feature extraction, explainable AI, and malware detection. He has contributed to impactful research projects and submitted publications to high-impact journals.
Education
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B.Tech in Computer Science Engineering
National Institute of Technology Puducherry (Nov 2022 – Present)
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Intermediate (MPC)
Sri Chaitanya Junior College, Tirupati (Jun 2020 – Apr 2022)
Professional Experience
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Research Intern – Sardar Vallabhbhai NIT Surat (May 2024 – Present)
Developed WaveletFusion, a novel framework integrating SWT, DWT, and grayscale features using ResNet18 for plant leaf disease classification.
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Research Intern – NIT Puducherry (May 2024 – Nov 2024)
Built a custom CNN for malware detection, outperforming mainstream architectures and presented findings at ICIDS 2024.
Research Interests
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Deep Learning in Agriculture
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Multi-scale Feature Extraction
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Explainable AI (XAI)
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Malware Detection & Cybersecurity
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3D Object Detection using Point Clouds
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Quantum Cryptography
Skills
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Languages: C, Python, Java, HTML, CSS, PHP, SQL, JavaScript
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Frameworks: PyTorch, TensorFlow, Keras
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Tools/Libraries: NumPy, Pandas, Scikit-learn, OpenCV, Matplotlib
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Concepts: CNN, ResNet, PointNet, SWT/DWT, XAI, BB84 (Quantum Cryptography)