Midhun Kanadan

- Develop a neural network for classification of small recycled aggregates. - Utilize geopycnometer for precise volume measurements in building materials recycling.

- Developing the next version of the IR-Anthology website using Python, Large Language Models (LLMs), and Retrieval Augmented Generation(RAG). - Extracting diverse information (text, images, tables, paragraphs etc) from scientific papers to enhance data management and retrieval. - Improving website performance and user experience by integrating advanced NLP techniques.

• Employing Python and C++ to develop automated scripts for processing measurement data in the Vertikka Project. • Contributing to the enhancement of open-source software, aligning with research objectives in sustainable building practices.

• Assisting in the "Machine Learning" course as a teaching assistant.

• Developed deep learning model for topology optimization, enhancing structural design accuracy. • Designing interactive Matlab apps to enrich topology optimization education. • Managing data analysis, geometry parameterization, and neural network model application to practical design tasks.

Working student on developing a machine learning model for topology optimization Used deep learning techniques to predict the optimal configuration of structures based on input parameters and design constraints using PyTorch. Collected and analyzed data, parameterized geometry, trained and validated neural network models, and applied them to real-world design problems.

Internship and Master thesis in "Redundancy Analysis during Progressive Buckling Collapse" on a Cruise vessel model performing progressive buckling analysis in ANSYS Mechanical Software.

I have previously worked for 3 years as a Senior Design Engineer at Larsen and Toubro Shipbuilding, India, where I was involved with the Structural, General Arrangement, and Access design of Offshore Patrol Vessels, High-speed patrol boats and Interceptor Boats. During these projects, I have liaised with ABS, LR, and IRS surveyors.

Subjects: Machine Learning Deep Learning for Computer Vision Software Engineering Data Structures and Algorithms (DSA) Image Analysis and Object Recognition (Computer Vision) Projects: 3D Captioning of Point Clouds with Pretrained Models Clustering and Region Growing for Image Segmentation

Master's Thesis: Redundancy Analysis during Progressive Buckling Collapse (Finite Element Analysis) using APDL Projects: Design of a ROPAX Ferry Design and Construction of a Semi-Submersible Floating Platform for an Offshore Wind Turbine.

Projects: Dynamic Analysis (Non-Linear Vibration analysis) of An Electric Transmission Tower using Siemens NX and MATLAB Dynamic analysis of Electric transmission tower and Topology optimization of the rear wing of a racing car.

Bachelor Thesis: Design of a Freezer Stern Trawler