Mehran Shoushtari Moghadam

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About

Mehran Shoushtari Moghadam is an emerging researcher in the field of computer architecture and emerging computing paradigms, with a particular focus on stochastic computing (SC) and hardware-efficient arithmetic design. His most notable contribution is the development of TriSC, a low-cost and hardware-efficient approach for implementing trigonometric functions using quasi-stochastic computing. This work addresses a critical challenge in the design of embedded and resource-constrained systems, where traditional implementations of trigonometric functions are often area- and power-intensive. By leveraging the probabilistic nature of stochastic bit-streams, TriSC offers a promising alternative that balances accuracy with hardware simplicity. Although early in his career, his work has already garnered attention, with his flagship paper accumulating citations and demonstrating the growing interest in stochastic methods for approximate computing. Shoushtari Moghadam’s research sits at the intersection of digital design, error-tolerant computing, and low-power VLSI, making his contributions particularly relevant for applications in IoT, edge AI, and neuromorphic hardware. His work represents a forward-looking step toward rethinking how complex mathematical functions can be efficiently realized in next-generation computing systems.