Nickvash Kani

For More Information

• ECE364 website/archive
• ECE374 website/archive
• Group website.
• Personal website.

Education

• Ph.D. in Electrical and Computer Engineering; Georgia Institute of Technology; 2017
• M.S. in Electrical and Computer Engineering; Georgia Institute of Technology; 2013
• B.S. in Computer Engineering; Boston University; 2010

Academic Positions

• Teaching Assistant Professor; University of Illinois at Urbana-Champaign; Electrical and Computer Engineering; August 2023 - Present

Research Interests

• Mathematical Language Processing
• Data retrieval systems
• Scientific Computing

Selected Articles in Journals

• Kani, Nickvash, Shaloo Rakheja, and Azad Naeemi. "A probability-density function approach to capture the stochastic dynamics of the nanomagnet and impact on circuit performance." IEEE Transactions on Electron Devices 63.10 (2016): 4119-4126.
• Kani, Nickvash, John T. Heron, and Azad Naeemi. "Strain-mediated magnetization reversal through spin-transfer torque." IEEE Transactions on Magnetics 53.11 (2017): 1-8.
• Kani, Nickvash, and Azad Naeemi. "Analytical models for coupling reliability in identical two-magnet systems during slow reversals." Journal of Applied Physics 122.22 (2017): 223902.
• Kani, Nickvash, Shaloo Rakheja, and Azad Naeemi. "Analytic modeling of dipolar field requirements for robust coupling in a non-identical biaxial two-magnet system." Journal of Applied Physics 124.2 (2018): 023901.
• Gangwar, Neeraj, and Nickvash Kani. "Semantic Representations of Mathematical Expressions in a Continuous Vector Space." Transactions on Machine Learning Research. (2023).
• Hamel, Emma, and Nickvash Kani. "Factors That Influence Automatic Recognition of African-American Vernacular English in Machine-Learning Models." IEEE/ACM Transactions on Audio, Speech, and Language Processing 32 (2023): 509-516.

Articles in Conference Proceedings

• Kani, Nickvash, and Azad Naeemi. "Wiring resource minimization for physically-complex Network-on-Chip architectures." 2014 27th IEEE International System-on-Chip Conference (SOCC). IEEE, 2014.
• Kani, Nickvash, Shaloo Rakheja, and Azad Naeemi. "A probability-density function approach to capture the stochastic dynamics of the nanomagnet and impact on circuit performance." IEEE Transactions on Electron Devices 63.10 (2016): 4119-4126.
• Hamel, Emma, Hongbo Zheng, and Nickvash Kani. "An Evaluation of NLP Methods to Extract Mathematical Token Descriptors." International Conference on Intelligent Computer Mathematics. Cham: Springer International Publishing, 2022.
• Gangwar, Neeraj, and Nickvash Kani. "Highlighting named entities in input for auto-formulation of optimization problems." International Conference on Intelligent Computer Mathematics. Cham: Springer Nature Switzerland, 2023.
• Jiaru Zou, Qing Wang, Pratyush Thakur and Nickvash Kani. "STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing." The 4th Workshop on Mathematical Reasoning and AI at NeurIPS'24, 2024.
• Neeraj Gangwar, Suma Bhat and Nickvash Kani. "Intermediate Fine-Tuning Improves Mathematical Reasoning in Smaller Models." The 4th Workshop on Mathematical Reasoning and AI at NeurIPS'24, 2024.
• Sumedh Vemuganti, Ayu Seiya and Nickvash Kani. "Advancing Math Formula Search Using Diverse Structural and Symbolic Representations." The 47th European Conference on Information Retrieval (ECIR), 2025.
• Hongbo Zheng, Suyuan Wang, Neeraj Gangwar and Nickvash Kani. "E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic Expressions." In proceedings 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025), 2025.
• Jiaru Zou, Qing Wang, Pratyush Thakur and Nickvash Kani “STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing.” Findings of the Association for Computational Linguistics: ACL 2025. , 2025.

Patents

• 2022-106 An Embedding Method for Mathematical Equations , Nikvash Kani, Neeraj Gangwar 18/479,242

Teaching Honors

• George Anner Excellence in Undergrad Teaching Award (09/2023)

Research Honors

• 1st Place - NL4Opt-Task2 challenge at NIPS 2022 (12/2022)