Hi, I'm Shreya.

Selected Undergraduate Coursework

• Digital System Design: Switch and gate design, boolean algebra, arithmetic, number systems, digital design principles.
• Programming Hardware/Software Systems: Creation of complex execution and storage mechanisms, based on instruction set architecture, for software design including high-level programming languages and operating systems.
• Data Structures and Algorithms for Applications: Computer data structures and algorithms in the context of object-oriented programming.
• Digital Design Laboratory: Designing & implementing digital systems utilizing CAD tools, logic synthesis, and assembly language programming.
• Physical Foundations of Computer Engineering: Basic principles governing the physical realization of computing systems and their relationship to characteristics such as performance, energy, and robustness. Implementation technologies.
• Architecture, Systems, Concurrency, and Energy in Computation: Major concepts of processors, including memory hierarchy and operating system constructs; lab activities done in Verilog and SystemVerilog.
• Objects and Design: Object-oriented programming methods for dealing with large programs. Focus on development processes including debugging and testing techniques.
• Design and Analysis of Algorithms: Understanding efficient algorithms for standard computational problems, including Graph Theory, Dynamic Programming, and NP-Completeness.
• Intro to Electronic Systems Packaging: Introduction to packaging technologies, technology drivers, electrical performance, thermal management, materials, optoelectronics, RF integration, reliability, system issues, assembly, testing.
• Design of Operating Systems: Multi-threading, scheduling, file systems. Implementing features to the Linux-like xv6 teaching operating system.
• Cloud Computing: Cloud architectures, system design, design methodologies, Amazon Web Services.
• Embedded Systems: I/O devices, device drivers, RTOS, using Mbed microcontroller and Raspberry Pi.
• VLSI & Digital Design: Transistor behavior, power and performance analysis, adder/multipler topologies. Modeling with Cadence Virtuoso.
• Processor Design: Principles in pipelined processor design, with focus on architecture.
• Compilers: Study of techniques for the design and implementation of front-end, back-end, and middle-end of compilers.

Selected Graduate Coursework

• Advanced Computer Architecture: Comprehensive study of high performance computer architecture emphasizing quantitative assessment of design decisions.
• Fundamentals of Machine Learning: Study of classification, regression, convolutional neural networks, clustering, and autoencoders, with a focus on PyTorch and applications.
• Computer Communication Networks: Computer network architecture & protocols.
• Advanced Programming Techniques: Programming using OpenMP and MPI (multithreading), OPenGL (graphics), and SFML (multimedia).
• DSP for Speech Synthesis: DSP concepts for speech communication applications, including homomorphic processing, linear predictive coding, time & frequency domain analysis.
• Micrelectromechanical Devices: Mechanical and thermal behaviors, fabrication methods, and transduction techniques for MEMS.
• Wireless Power Transmission & Sensing: Survey of basic radiation, propagation, RF energy harvesting, inductive systems, basic communications theory.
• HW/SW Co-Design for ML Systems: Survey of HW accelerators for DNNs, compute/memory constraints, distributed training.