Research
Current Research
My current research focuses on low-level systems, exploring how processors and operating systems work at their fundamental level. I'm particularly interested in understanding the intricate mechanisms that drive modern computing systems, from microarchitecture to system-level optimizations.
Interested Research Areas
Machine Learning & Data Science
Projects in machine learning and data science, focusing on developing novel algorithms and methodologies for data analysis and pattern recognition.
The Memory Research
Investigating memory systems, storage technologies, and memory hierarchy optimization for improved computational performance.
Quantum Engineering and Design
Exploring quantum computing principles, quantum algorithms, and the design of quantum systems for next-generation computing.
Neural Coding and Brain Computing
Researching neural networks, brain-inspired computing architectures, and the intersection of neuroscience and artificial intelligence.
Electronic and Quantum Magnetism
Studying magnetic materials, spintronics, and quantum magnetic phenomena for applications in computing and information storage.
Low-Level Systems
Investigating processor architecture, operating system internals, and system-level optimizations for performance and efficiency.
Publications
8-bit Computer
Anup Kumar, Pritesh Kumar, Rahul Goswami, Abhinay Singh, Prasun Kumar, Aishi Kesh, 2025
Built a fully functional 8-bit computer from scratch using simple logic gates, flip-flops, EEPROMs, and breadboards. From designing the ALU to wiring the control logic, this hands-on project deepened our understanding of computer architecture and digital electronics. Our goal was to explore how assembly language interacts with hardware, so we created a custom assembly language and wrote programs like addition, subtraction, counters, multiply and even a Fibonacci series—everything that can be packed into 16 bytes of memory.