https://speakerdeck.com/mkannan2k9 2026-03-29 06:46:54 -0400 As artificial intelligence and new technologies emerge, there is a rapidly increasing global demand for electricity. However, many regions cannot handle large amounts of renewable energy due to the surface area limitations and the 33% theoretical efficiency cap of current solar models. This presentation outlines our proposed solution to these challenges, developed as part of the New York Academy of Sciences (NYAS) Junior Academy Innovation Challenge. Our research hypothesis explores the integration of Building-Integrated Photovoltaics (BIPV) for urban environments and multi-layer floating solar systems for water bodies. By incorporating advanced materials—such as Luminescent Solar Concentrator (LSC) technology and wide-bandgap semiconductors—alongside thermochemical storage, our hybrid solar systems are designed to achieve significantly higher energy reliability and efficiency than conventional solar frameworks. Key Highlights of Our Research: 1. AI-Driven Performance Modeling: We fine-tuned an AI model using weather, irradiance, and environmental datasets to predict prototype performance across diverse real-world climates without needing a physical prototype. 2. Technology Readiness Validation: Our solutions are backed by existing literature, with validated high Technology Readiness Levels (TRL) in LSC technology, floating solar operations (like Singapore's Tengeh reservoir), underwater wide-bandgap PVs, and Calcium Looping Storage. 3. IP and Patent Analysis: We utilized AI-assisted patent analysis to ensure our combinations of materials and technologies are feasible, unique, and do not overlap with existing intellectual property. Team Acknowledgments: This project was a highly collaborative effort by Team Energy Nexus (Group #6310). I am incredibly proud of the research, engineering analysis, and dedication contributed by every member of our international team: - Kannan Murugapandian (Singapore) [Team Lead] - Liz Rodrigues (New Jersey, USA) - Anadita Singh (Delhi, India) - Agnibha Sengupta (West Bengal, India) - Kashvi Ruparelia (Gujarat, India) - Sreeja Padmala (Michigan, USA) To view our full project portfolio and team background, please visit our team profile at JoinLaunchPad: https://joinlaunchpad.com/#/projects/6310/solar-energy-team-1 Note: Photos of my team members in the presentation slides have been replaced with standardized icons to respect their privacy and adhere to digital ethics, as this deck has been uploaded to a public platform. As artificial intelligence and new technologies emerge, there is a rapidly increasing global demand for electricity. However, many regions cannot handle large amounts of renewable energy due to the surface area limitations and the 33% theoretical efficiency cap of current solar models. This presentation outlines our proposed solution to these challenges, developed as part of the New York Academy of Sciences (NYAS) Junior Academy Innovation Challenge. Our research hypothesis explores the integration of Building-Integrated Photovoltaics (BIPV) for urban environments and multi-layer floating solar systems for water bodies. By incorporating advanced materials—such as Luminescent Solar Concentrator (LSC) technology and wide-bandgap semiconductors—alongside thermochemical storage, our hybrid solar systems are designed to achieve significantly higher energy reliability and efficiency than conventional solar frameworks. Key Highlights of Our Research: 1. AI-Driven Performance Modeling: We fine-tuned an AI model using weather, irradiance, and environmental datasets to predict prototype performance across diverse real-world climates without needing a physical prototype. 2. Technology Readiness Validation: Our solutions are backed by existing literature, with validated high Technology Readiness Levels (TRL) in LSC technology, floating solar operations (like Singapore's Tengeh reservoir), underwater wide-bandgap PVs, and Calcium Looping Storage. 3. IP and Patent Analysis: We utilized AI-assisted patent analysis to ensure our combinations of materials and technologies are feasible, unique, and do not overlap with existing intellectual property. Team Acknowledgments: This project was a highly collaborative effort by Team Energy Nexus (Group #6310). I am incredibly proud of the research, engineering analysis, and dedication contributed by every member of our international team: - Kannan Murugapandian (Singapore) [Team Lead] - Liz Rodrigues (New Jersey, USA) - Anadita Singh (Delhi, India) - Agnibha Sengupta (West Bengal, India) - Kashvi Ruparelia (Gujarat, India) - Sreeja Padmala (Michigan, USA) To view our full project portfolio and team background, please visit our team profile at JoinLaunchPad: https://joinlaunchpad.com/#/projects/6310/solar-energy-team-1 Note: Photos of my team members in the presentation slides have been replaced with standardized icons to respect their privacy and adhere to digital ethics, as this deck has been uploaded to a public platform. Tue, 14 Apr 2026 00:00:00 -0400 https://speakerdeck.com/mkannan2k9/energy-nexus-next-generation-solar-integration-for-urban-and-rural-reliability-nyas-junior-academy https://speakerdeck.com/mkannan2k9/energy-nexus-next-generation-solar-integration-for-urban-and-rural-reliability-nyas-junior-academy "Every contact leaves a trace." In this presentation designed for junior students at DPS International School, I break down the fundamentals of Digital Forensics within the context of Capture The Flag (CTF) cybersecurity competitions. The goal of this session was to introduce students to the methodology of digital crime scene investigation, equipping them with the practical tools and ethical guidelines needed to solve forensic challenges. "Every contact leaves a trace." In this presentation designed for junior students at DPS International School, I break down the fundamentals of Digital Forensics within the context of Capture The Flag (CTF) cybersecurity competitions. The goal of this session was to introduce students to the methodology of digital crime scene investigation, equipping them with the practical tools and ethical guidelines needed to solve forensic challenges. Sun, 29 Mar 2026 00:00:00 -0400 https://speakerdeck.com/mkannan2k9/introduction-to-digital-forensics https://speakerdeck.com/mkannan2k9/introduction-to-digital-forensics How do we solve Bloom’s 2 Sigma Problem and scale highly effective 1-to-1 tutoring to every student? While Artificial Intelligence offers a proven solution—significantly boosting student performance and reducing teacher planning hours by 40%—relying on closed-source AI models introduces massive risks. In this presentation from the FOSSASIA 2026 Summit, I explore why the future of personalized education must be open-source, and how we can architect AI systems that teach students how to think, rather than just giving them the answers. How do we solve Bloom’s 2 Sigma Problem and scale highly effective 1-to-1 tutoring to every student? While Artificial Intelligence offers a proven solution—significantly boosting student performance and reducing teacher planning hours by 40%—relying on closed-source AI models introduces massive risks. In this presentation from the FOSSASIA 2026 Summit, I explore why the future of personalized education must be open-source, and how we can architect AI systems that teach students how to think, rather than just giving them the answers. Sun, 29 Mar 2026 00:00:00 -0400 https://speakerdeck.com/mkannan2k9/democratizing-personalized-learning-with-open-source-ai https://speakerdeck.com/mkannan2k9/democratizing-personalized-learning-with-open-source-ai