Pipeline design in spintronic circuits. - Nickvash Kani; Azad Naeemi (NANOARCH, 2014)

Wiring resource minimization for physically-complex Network-on-Chip architectures. - Nickvash Kani; Azad Naeemi (SoCC, 2014)

Clocked Magnetostriction-Assisted Spintronic Device Design and Simulation. - Rouhollah Mousavi Iraei; Nickvash Kani; Sourav Dutta; Dmitri E. Nikonov; Sasikanth Manipatruni; Ian A. Young; John T. Heron; Azad Naeemi (CoRR, 2017)

An Evaluation of NLP Methods to Extract Mathematical Token Descriptors. - Emma Hamel; Hongbo Zheng; Nickvash Kani (CICM, 2022)

Highlighting Named Entities in Input for Auto-formulation of Optimization Problems. - Neeraj Gangwar; Nickvash Kani (CICM, 2023)

Semantic Representations of Mathematical Expressions in a Continuous Vector Space. - Neeraj Gangwar; Nickvash Kani (Trans. Mach. Learn. Res., 2023)

Mathematical Derivation Graphs: A Task for Summarizing Equation Dependencies in STEM Manuscripts. - Vishesh Prasad; Brian Kim; Nickvash Kani (CoRR, 2024)

Factors That Influence Automatic Recognition of African-American Vernacular English in Machine-Learning Models. - Emma Hamel; Nickvash Kani (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing. - Jiaru Zou; Qing Wang; Pratyush Thakur; Nickvash Kani (ACL (Findings), 2025)

Advancing Math Formula Search Using Diverse Structural and Symbolic Representations. - Sumedh Vemuganti; Ayu Seiya; Nickvash Kani (ECIR (1), 2025)

E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic Expressions. - Hongbo Zheng; Suyuan Wang; Neeraj Gangwar; Nickvash Kani (NAACL (Long Papers), 2025)

Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models. - Neeraj Gangwar; Suma P. Bhat; Nickvash Kani (CoRR, 2025)