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title Group Members
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description Research group members past and present
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Joshua Pulsipher

Principle Investigator

Joshua is an assistant professor of Chemical Engineering at the University of Waterloo and leads the research group.

Stefan Mazzadi

MASc Student (Sept 2024 to Present)

My research focuses on developing optimization-based production scheduling tools and decision-support systems for industrial manufacturing operations, with interests including generalized disjunctive programming, mixed-integer programming, and hierarchical multi-objective optimization. My broader work spans computational optimization across multiple domains, including contributions to event-constrained programming and sustainable agriculture through optimized hydroponic operating strategies.

Contact me at smazzadi@uwaterloo.ca

Evelyn Gondosiswanto

MASc Student (Sept 2024 to Present)

My research focuses on developing computational methods and tools for infinite-dimensional optimization, with interests including nonlinear model predictive control, generalized disjunctive programming and GPU-accelerated optimization.

Contact me at egondosi@uwaterloo.ca

Fateme Mohammad Mohammadi

PhD Student (Sept 2024 to Present)

My research focuses on developing hard-constrained neural networks for process systems engineering applications. I combine machine learning, process modeling, and optimization to build efficient, physically consistent surrogate models that satisfy constraints by construction.

Contact me at f25moham@uwaterloo.ca

Manvir Banwait

MASc Student (Jan 2025 to Present)

My research focuses on developing neural-network surrogates for differential equations, embedding them in nonlinear model predictive control frameworks, and using GPU-accelerated optimization for training and simulation.

Contact me at m2banwai@uwaterloo.ca

Shayesteh Dolatabadi

PhD Student (Feb 2025 to Present)

Operation of large public spaces to regulate temperature, humidity, and indoor air quality involves spatially distributed dynamics that are difficult to optimize at scale. My research addresses this through PDE-constrained optimization and developing hybrid models to keep the problem tractable.

Contact me at s3dolata@uwaterloo.ca

Daniel Nguyen

MASc Student (May 2025 to Present)

My research focuses on developing reformulation methods for generalized disjunctive programming and their extensions to infinite-dimensional optimization.

Contact me at d227nguy@uwaterloo.ca

Daniel Fonseca-Cerrato

MASc Student (Sept 2025 to Present)

My research focuses on transforming high-dimensional sensor data from compartment fires into transparent, actionable insights using interpretable machine learning. By building machine-learning models without "black-box" obscurity, this work decodes complex fire dynamics to through chemical relationships. Ultimately, this research bridges data science and real-world deployment, driving the next generation of smart sensing technologies and life-saving decision-support tools for first responders.

Contact me at d3fonsec@uwaterloo.ca

Shawn Benedict

PhD Student (Sept 2025 to Present)

My research focuses on developing tools for incorporating environmental burdens as a key consideration in process design and process intensification. I have a particular interest in life cycle assessments, superstructure optimization, and generalized disjunctive programming.

Contact me at s2benedi@uwaterloo.ca

Daniele Palladino

PhD Student (Sept 2025 to Present)

My research focuses on developing computational tools for dynamic model identification and parameter estimation to support sustainable bioprocess design for a circular economy.

Contact me at dpalladi@uwaterloo.ca