Former Students
Vikas Rao, PhD completed Summer 2021. Currently working at Synopsys as Staff R&D Engineer, VC Formal Group.
- Dissertation Title: Rectification of Arithmetic Circuits using Computer Algebra Techniques.
Utkarsh Gupta -
PhD completed Spring 2020. Currently working at Apple, as Formal
Verification Engineer.
- Dissertation title: Rectification of Finite Field Arithmetic
Circuits with Craig Interpolation using Algebraic Geometry
Arpitha Rao, MS thesis completed Summer 2019. Currently working
as Product Engineer at Micron Emerging Memory Group.
Xiaojun Sun - PhD completed Spring 2017. Currently working at
Candence Design Systems in San Jose, CA.
- Formal Verification of Sequential
Arithmetic Circuits.
Tim Pruss - PhD Completed Summer 2015. Currently working at
Apple as Formal Verification Engineer in Cupertino, CA.
Dissertation Title: Word-Level Abstraction from Combinational
Circuits using Algebraic Geometry.
Lawrence Schlitt - MS Thesis completed May 2013. Currently working at Northrup Grumman.
- Thesis Title: Thermal Characterization Abstraction for Integrated Optoelectronics.
Chris Condrat: PhD completed Dec 2013, BS/MS 2007. Currently
working at Calypto Design Systems, Catapult-C High-Level Synthesis
Group, Portland, OR.
- Dissertation Title: Design Automation for Integrated Optics.
Jinpeng Lv: PhD completed
July 2012. Currently working at Cadence, Conformal Verification
Group.
- Dissertation Title: Scalable Formal Verification of Finite Field
Arithmetic Circuits using Computer Algebra Techniques
Sivaram
Gopalakrishnan - MS 2004, PhD Summer 2008. Senior R & D Engineer,
Synopsys, Formality Group, Hillsboro, OR.
Dissertation Title:
High-Level Synthesis of Polynomial Datapaths using Finite Integer
Algebras.
Namrata Shekhar -
PhD, Completed Aug 2007. Senior R & D Engineer, Synopsys, Formality Group,
Marlborough, MA.
Dissertation Title: Equivalence Verification of
Arithmetic Datapaths using Finite Ring Algebra.
Vijay Durairaj
- ME 2004, PhD summer 2008. Senior R & D Engineer, Synopsys ESP Group .
Dissertation topic: Improving SAT Solving by Analyzing
Constraint-Variable Dependencies.