Cultivating Future Innovators in Neuromorphic Engineering 🧠 | Academic Program Advisor at Western University of Sydney | Guiding Aspiring Minds Toward Excellence"In this role, I am dedicated to nurturing the next generation of experts in the field of neuromorphic engineering. I work closely with students to provide tailored guidance, mentorship, and resources throughout their academic journey. Together, we embark on a transformative learning experience that blends cutting-edge knowledge with practical skills, preparing them to thrive in a rapidly evolving technological landscape. With a strong commitment to academic excellence, I am passionate about empowering students to unlock their full potential and make a lasting impact in the world of neural systems and brain-inspired technologies. Let's connect and explore the limitless possibilities at the intersection of innovation and education.In my current role, I am also deeply immersed in the realm of Industry 4.0, where I focus on the convergence of transformative technologies. My research encompasses cutting-edge areas such as blockchain integration, Internet of Things (IoT), and Artificial Intelligence (AI) systems. This research journey amplifies my commitment to driving technology's evolution and its profound impact on industries worldwide. Here is a good example : C. Li, Q. Shen, C. Xiang, & B. Ramesh, "A Trustless Federated Framework for Decentralized and Confidential Deep Learning," published in the IEEE Global Emerging Technology Blockchain Forum: Blockchain & Beyond, 2022.This publication introduces a trustless federated framework that addresses the challenges of privacy and security in distributed deep learning systems. By leveraging blockchain technology, the framework enables decentralized and confidential deep learning.

During my time at SINAPSE/N.1 Institute, I spearheaded the adaptation of robotic systems into low-latency neuromorphic vision, pushing the boundaries of computer vision technology. I also successfully benchmarked an innovative object classification system using event-based cameras for real-time object detection. Furthermore, I contributed significantly to the development of a streamlined tracking system with FPGAs, optimized for surveillance applications using stationary neuromorphic vision sensors. These experiences ignited my passion for interdisciplinary collaboration and technological advancement.Lab website: https://nusneuromorphic.github.io/

At TLAB@NUS, I specialized in deploying cutting-edge computer vision solutions. I successfully implemented real-time object recognition algorithms for event-based cameras, optimizing their performance on energy-efficient FPGA devices. Additionally, I played a pivotal role in developing a robust and innovative long-term object tracking system for unmanned aerial vehicles, utilizing freely moving event cameras to ensure precision.I co-authored several impactful papers that were accepted and published at prestigious conferences including IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and other leading computer vision conferences.

I played a pivotal role in delivering a visionary human tracking system showcased at the Singapore Air Show. This accomplishment exemplifies my ability to bridge technology and practical applications. Within the realm of unmanned systems, I conceptualized and devised image processing methods that achieved remarkable video stabilization, enhancing the capabilities of these systems. My contributions extended to engineering a cutting-edge traffic monitoring system utilizing industrial cameras. This system effectively detected over-speeding vehicles and license plates, showcasing my dedication to leveraging innovative solutions for real-world challenges.

🎓 TA for Neural Networks, Instrumentation, and more 📚 | Enriching interaction with students every semester 💬 | Sharpening communication skills on the go 🗣️ #TeachingAssistant #Education

📚 Guided Final Year Projects & TA for Modules 🎯 | Nurtured 8 award-winning students 🏆 | Fostering innovation through mentorship 💡 #Mentorship #StudentSuccess

As an intern, I immersed myself in designing linear motors using Finite Element Analysis, aiming for optimal performance. I also honed my skills in manual PID tuning using Elmo Cornet and Panasonic A5L drives, gaining hands-on experience in precision motor control. This internship not only deepened my expertise in motor design but also enriched my practical skills in simulation, optimization, and hardware manipulation.

During my undergraduate years, I cherished the opportunity to make a meaningful impact by teaching English to Korean international students at the American International School-Chennai. Guiding students in TOEFL preparation and English language enhancement, I provided tailored lessons to foster their language proficiency and communication skills. This experience enriched my understanding of cross-cultural dynamics and the importance of effective education. The gratification of witnessing my students' progress and success further fueled my passion for teaching and fostering global connections.