I am Shatakshi Iksha, a Computer Systems Engineering student at Arizona State University with a minor in Materials Science and Engineering. I work across semiconductors, thin films, embedded systems, and computational research, and I love turning complex systems into something measurable, elegant, and useful.
I like building things that sit between the physical and digital worlds. That includes thin-film experiments, mechanical characterization, predictive modeling, FPGA design, and robotics systems. My work often starts with data, but I care just as much about the underlying structure and process.
I design experiments, analyze data, and build models that explain how materials and devices behave. I have worked on LiPON thin films for solid-state batteries, perovskite durability under cyclic bending, additively manufactured metamaterials, autonomous robotics, and FPGA-based digital systems.
I enjoy work where experimentation, computation, and engineering logic all meet. I especially like projects where the answer is not obvious, where a clean dataset or well-built system can reveal a pattern that changes the design.
Research and development across semiconductors, thin films, computational materials, and experimental mechanics.
Fabricated and characterized LiPON thin films using RF magnetron sputtering, PVD, and XRD, and used COMSOL-based FEA, predictive modeling, and electrochemical characterization to optimize deposition parameters for solid-state battery applications.
Designed and performed 200+ cyclic-bending experiments and photoluminescence measurements on flexible MAPbI₃ perovskite thin films, then developed Python-based regression and statistical degradation models for 1,000+ samples to study mechanical durability and optical stability.
Developed Python-based probabilistic modeling and optimization frameworks for additively manufactured 316L stainless steel metamaterials, integrating SEM fractography, in situ mechanical characterization, and 1,000+ cyclic tensile-testing data points to validate computational predictions.
A few projects that show the mix of hardware, software, robotics, and modeling in my work.
Programmed swarm robots using ROS, C++, and UART communication protocols, integrating sensors for localization, environmental awareness, and inter-robot coordination.
Designed, simulated, and validated FPGA-based digital systems in Verilog/SystemVerilog using Xilinx Vivado.
Built Python-based regression and statistical degradation models to analyze 1,000+ perovskite samples.
Fabricated and characterized LiPON thin films for solid-state battery applications using RF sputtering, PVD, XRD, electrochemical characterization, and finite element analysis.
Tools I use across research, systems work, and analysis.
I am always open to research, engineering, and internship conversations.
If you are looking for someone who can move between experiments, data, and systems thinking, I would love to connect.
Computer Systems Engineering student at Arizona State University, graduating in May 2027, with a minor in Materials Science and Engineering. Interested in semiconductor process engineering, materials R&D, advanced manufacturing, thin-film technologies, embedded systems, and robotics.