Chemical Engineering
Aarsha Surendren
Email: a24suren@uwaterloo.ca
Office: E6 5120
Dr. Aarsha Surendren is a Mitacs Accelerate Postdoctoral Fellow in the Department of Chemical Engineering at the University of Waterloo under the supervision of Professor Tizazu Mekonnen. She earned her Ph.D. in biological engineering from the University of Guelph under the supervision of Professor Amar Mohanty and Professor Manjusri Misra, where her research focused on thermoplastic starch-based polymer blends, biodegradable composites, and sustainable packaging materials. Her current research, in collaboration with industry partners Oligomaster and Kuriyama, focuses on developing sustainable polymer technologies for industrial applications, including recycling polyethylene (PE) and poly(vinyl chloride) (PVC) production waste into value-added products and developing thermoplastic elastomer (TPE) and polyethylene (PE)-based foams with thermal insulation performance comparable to conventional foams. Her broader research interests include polymer processing, polymer recycling, polymer foaming, sustainable materials, advanced polymer composites, biodegradation and composting studies, nanomaterials, and packaging technologies, with a focus on translating innovative materials into scalable industrial solutions.
Azin Adibi
Bahareh Arab
Chun-Po Hu
Daniel Rangel Martinez
Ewomazino Ojogbo
Fatemeh Mohabatpour
Hossein Mashhadimoslem
Email: hmashhad@uwaterloo.ca
Office: E6 5112
Hossein Mashhadimoslem is a postdoctoral scholar in the Department of Chemical Engineering at the University of Waterloo. Hossein focuses on advanced material discovery using artificial intelligent (AI). Hossein’s educational journey began with a bachelor’s degree in mechanical engineering, followed by an MSc and PhD in chemical engineering from IUST, and visiting scholar at the University of Waterloo, Canada. He has more than a decade of experience in engineering design for industrial energy megaprojects. His research interests include advanced materials design using AI, adsorption processes, CO2 capture and conversion, battery material design, and AI for science.
Currently he focuses on advanced material discovery using AI and computational methods for batteries and energy applications.
Joel Pennings
Lu Yin
Mukarram Ali
Email: m352ali@uwaterloo.ca
Office: QNC 5618
Mukarram Ali is currently a Postdoctoral Fellow in the Department of Chemical Engineering at the University of Waterloo, Canada, working in the 2D Materials and Electrochemical Devices Laboratory under the supervision of Professor Michael Pope. Dr. Ali’s research focuses on advanced rechargeable battery technologies, particularly sulfide-based solid-state, lithium-silicon, and lithium-sulfur batteries. He designs and synthesizes solid electrolytes, engineer's electrode-electrolyte interfaces, and evaluates electrochemical performance using techniques such as impedance spectroscopy, galvanostatic cycling, critical current density measurements, and symmetric-cell testing. His work also involves materials characterization using XRD, SEM, EDS, XPS, and thermal analysis. In addition, Dr. Ali contributes to research at the Ontario Battery and Electrochemistry Research Centre, where he supports lithium-ion pouch-cell development, battery safety evaluation, experimental design, and collaborative projects with academic and industrial partners. His broader objective is to advance practical, high-energy, and safer battery technologies for future energy storage applications in diverse practical settings.
Qianyi Ma
Seyed Mohammadali Emadi Foshtomi
Stuart Goldie
Tomas Garcia Garcia-Verdier
Yi He
Yuhang Huang
Zhe Huang
Electrical & Computer Engineering
Carlos Ceja Espinosa
Carlos Ceja Espinosa
Carlos Ceja Espinosa
Carlos Ceja Espinosa
Cheng Wang
Elaheh Sanoubari
Eman Rezk
Hanyue Shangguan
Hesam Abouali
Irem Keskinkurt Paksoy
Email: ikeskink@uwaterloo.ca
Location: PSE-5416
Research Areas:
- Cryptography
- Post-quantum cryptography
- Digital signatures
- Efficient arithmetic computation
Jorge Pat De La Torre Sanchez
Katie McDonnell
Labanya Ghosh
Email: lghosh@uwaterloo.ca
Office: RAC2 2114
Labanya Ghosh is a Postdoctoral Fellow at the Institute for Quantum Computing, University of Waterloo. Her research focuses on superconducting materials and quantum device development, with an emphasis on advancing scalable platforms for quantum technologies. Her work integrates materials science, thin-film growth, micro/nano fabrication, and cleanroom-based device engineering to explore novel approaches for improving the performance and reliability of quantum systems."
Lin Tian
Majed Amini
Mauricio Enrique Hernandez Vivanco
Mayank Garg
Michael McCreesh
Mingcheng He
Mohammad Khaled Alsharman
Mozhgan Nasr Azadani
Email: mnasraza@uwaterloo.ca
Office: E7 4408
- Research areas:
- Multimodal Large Language Models
- Grounded and Faithful MLLMs
- Efficient and Scalable MLLMs
- Vision-Language-Action Models for Embodied AI
- Hallucination Mitigation
Muhammad Abuelhamd Mahmoud Muhammad
Muhammad Hassan Gharieb Ahmed Elsheikh Ahmed
Omid Bagheri
Peyman Ghavami Nejad
Pouyan Keshavarz Motamed
Pratik Adhikary
Samira Rasouli
Shisheng Hu
Shubham Ranjan
Stephen Harrigan
Email: srharrig@uwaterloo.ca
Office: QNC 3114
Susanta Samanta
Email: ssamanta@uwaterloo.ca
Office: E7 5448
Research: My research interests lie broadly at the intersection of algebraic and coding-theoretic techniques of cryptography. At present, my main focus is on zero-knowledge proof-based post-quantum cryptographic primitives, with particular emphasis on developing efficient algorithmic techniques for accelerating post-quantum secure zkSNARKs. In addition, my research encompasses the systematic design and theoretical analysis of MDS and near-MDS matrices in symmetric-key cryptography, along with related algebraic structures and their cryptanalytic implications.
Tarun Patel
Wenhan Hu
Xiaodan Shao
Xinyu Huang
Yi-Han Hsu
Zohre Pourgholamhossein
Mechanical & Mechatronics Engineering
Ahmad Aminzadeh
Ahmet Gulsaran
Anqi Wang
Apratim Chakraborty
Atefeh Merry
Atefeh Merry
Bersu Bastug Azer
Carlos Azael Alvarez Zambrano
Erfan Azqadan
Fan Zhao
Fatima Suleiman
Jiung Kim
Keqi Shu
Khizar Rouf
Ladan Khoshnevisan
Leonardo Fermin Barcenas Gomez
Email: lfbarcen@uwaterloo.ca
Office: EC4 1161
Project: High-fidelity AI-supported micromechanics tools for sheet-moulding-compound
(SMC) composites.
Within the Composites Research Group at the University of Waterloo, my research focuses on the characterization and analytical modelling of advanced composite materials for lightweight automotive applications. I investigate the mechanical behaviour of sheet moulding compound (SMC) composites through strain-rate-dependent testing and advanced full-field measurement techniques, including high-speed digital image correlation (DIC). By combining experimental characterization with micromechanics-based analytical models, I develop predictive tools to better understand the deformation and fracture behaviour of short fibre-reinforced composites under complex loading conditions. My research aims to support the design and optimization of lightweight composite structures for next-generation automotive applications.
Lucas Botelho
Malo Lecorgne
Manyou Sun
Maryam Soleimani
Masoud Karimi
Email: m9karimi@uwaterloo.ca
Masoud Karimi is currently a Postdoctoral Fellow with the Arami Research Lab in the Department of Mechanical and Mechatronics Engineering. His research focuses on robot learning, with an emphasis on vision-language-action (VLA) models and world models for robotic manipulation and control. He is particularly interested in how robots can learn generalizable skills from demonstrations and interaction, and how world models can enable robots to predict, plan, and act in complex environments. His broader interests include reinforcement learning, imitation learning, and human-robot interaction for assistive robotics.
Ming Fung Thomas Kwok
Mohamed Imam
Mohammad Shojaee
Email: mshojaee@uwaterloo.ca
Office: Engineering 3 (E3), Room 3101
Dr. Mohammad Shojaee is a Postdoctoral Fellow with the Centre for Advanced Materials Joining at the University of Waterloo. His research focuses on metallic materials joining, welding metallurgy, materials characterization, and the mechanical performance of welded structures. He has particular expertise in the welding and joining of advanced automotive steels using processes such as resistance spot welding and gas metal arc welding. His work includes investigating weld microstructure and properties, failure mechanisms, liquid metal embrittlement, joint strength, and the development of experimental methods and failure criteria for evaluating welded components. His broader expertise encompasses materials science, physical metallurgy, mechanical testing, fracture and failure analysis, and advanced characterization techniques.
Mohammad Azami
Email: mazami@uwaterloo.ca
Office Location: Catalyst 137, Kitchener, ON
Dr. Mohammad Azami is a postdoctoral researcher in the Multi-Scale Additive Manufacturing Laboratory at the University of Waterloo. He holds a PhD in Electrical and Computer Engineering from Concordia University, where his research focused on robotic additive manufacturing and in-situ resource utilization for lunar construction. His research interests include additive manufacturing of metals, ceramics, polymers, and composites, in-space manufacturing, in-situ resource utilization, materials characterization, and high-temperature deformation.
Nicholas Pellegrino
Ruoyan Han
Seyed Mohammad Salman Lari
Subhajit Jana
Tianyu Zhang
Yang Wang
Yi Zhang
Youchao Teng
Email: y28teng@uwaterloo.ca
Office: QNC 5603
Yu Wang
Zhongyi Liu
Email: z773liu@uwaterloo.ca
Office: ERC-3027
Zhongyi Liu is a postdoctoral researcher in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. He earned his PhD in Chemical Engineering from the University of Waterloo, his MS degree from Boston University, and his BEng degree from Jilin University. His research expertise lies in electrochemistry and the development of next-generation energy storage & conversion systems such as aqueous batteries, protonic ceramic electrochemical cells etc.