Research

Current and past research projects in programming languages, type systems, and compiler design.

Research Timeline

[2024]RESEARCH

Type System Research

Investigating advanced type systems for safe concurrent programming. Focus on dependent types and linear types.

[2023]RESEARCH

Compiler Optimization

Research on optimization techniques for functional programming languages. Published work on type-directed optimizations.

[2023]CONFERENCE

PLDI Conference

Presented research on formal semantics at ACM SIGPLAN PLDI conference.

[2022]PROJECT

Language Design Project

Designed and implemented a small functional programming language with advanced type inference.

Type System Interactive Demo

Demonstrates how the type system infers types from expressions

// Type inference example
let x = 42;        // x: number
let y = "hello";   // y: string
let z = x + 5;     // z: number (inferred)

function add(a, b) {
  return a + b;    // Type: (a: number, b: number) => number
}

The type checker analyzes the code and automatically determines that x is a number, y is a string, and the add function takes two numbers and returns a number.

Research_Network.graph

Visual representation of research topics, publications, and tools in my work.

Type Systems
Dependent Types
Type Inference
Compiler Design
LLVM
Formal Semantics
Coq
Topic
Paper
Tool

Current Research Areas

Dependent Type Systems

Exploring dependent types for expressing program invariants and ensuring correctness at compile time. Investigating the trade-offs between expressiveness and type inference.

Compiler Optimization

Developing optimization techniques that preserve type safety while improving runtime performance. Focus on whole-program optimization and specialization.

Formal Semantics

Working on formal semantics for modern programming language features including effect systems, ownership types, and gradual typing.

Research Methodology

My research approach combines theoretical foundations with practical implementation. I believe in building real systems to validate theoretical ideas and using formal methods to ensure correctness.

  • Formal specification and verification
  • Prototype language implementations
  • Benchmarking and performance analysis
  • Case studies from real-world applications