Acadia AIoT Research Hub

Dr. Esteve Hassan

Dr. Darcy Benoit

Dr. Elhadi Shakshuki

Dr. Andrew McIntyre

Dr. Daniel Silver

Dr. Amir Eaman

Dr. Martin Tango

Dr. Angelo Posteraro

Dr. Scott Bishop

Dr. Jennie Rand

Roshan Adhikari

I am a Research Associate and Technical Support member at the Acadia AIoT Research Hub and an Honours Computer Science student at Acadia University. My work focuses on embedded systems, the Internet of Things (IoT), wireless sensor networks, and edge AI. I enjoy designing and developing firmware, building IoT solutions, and working on research that applies to AI to solve real-world problems. I am particularly interested in embedded software development, firmware engineering, computer architecture, and AI-powered development tools. I enjoy learning new technologies, tackling challenging engineering problems, and building systems that bridge the gap between hardware and software. My goal is to develop innovative technologies that make embedded systems more accessible, efficient, and intelligent.

Dhriti Dhriti

I'm Dhriti, an undergraduate at Acadia University. Dr. Esteve Hassan's courses got me interested in research, which led me to join the AARH Lab, where I work on literature reviews, data analysis, and testing emerging technologies. I'm especially interested in artificial intelligence, machine learning, and data analytics and how these fields can come together to solve different kinds of problems. Through research, I want to keep learning how to turn ideas and data into something genuinely useful.

Nathan Fredericks

Nathan is a fifth-year computer science student with work experience in software engineering. He is interested in hardware, and in how it can be used to learn more about the environment around us and support further research. Sensors are a direct way to do that, since they turn something physical into data you can work with. At AARH, he works with the team on industrial soil moisture sensors and their applications for compost monitoring.

Nitish Sahni

I'm Nitish. I build things — monitoring systems, data pipelines, full-stack apps. Some of it holds up in production, some of it teaches me why it didn't.

Rubbaldeep Sandhu

I am a Computer Science student at Acadia University and a Research Assistant at the AARH Lab, with a strong interest in software development, embedded systems, artificial intelligence, and robotics. I enjoy building projects that combine hardware and software to solve practical problems. Through my studies and hands-on experience, I continue to explore new technologies and strengthen my technical skills. I look forward to continuing to learn, experiment, and build systems that address real world challenges.

Jp Samano Suarez

I'm JP, a Computer Science student at Acadia University from Mexico City. I currently lead development at LegalShelf, where I build CheckWise and Verifaid: software that reads real-world documents and registries and turns them into compliance decisions a business can act on, backed by data pipelines and a testing-heavy process I built around AI-assisted development. I've touched embedded systems and computer architecture through coursework and want to build on that at AARH. The problem is the same one across the lab's projects: turning raw, real-world data, sensor or document, into something a system can trust and act on

Errol DaRocha

I am a researcher specializing in computer vision and machine learning. My honours thesis at Acadia University investigated how unsupervised learning could help detect skin cancer without needing expensive labelled data, and I went on to present that work at the 2025 Canadian Conference on Artificial Intelligence. At the AARH, I work on the RealMeta project, where I am helping build tools that turn ordinary video of a museum or gallery into a 3D environment that people can explore virtually. The project is meant to give small museums with limited resources a way to reach visitors anywhere in the world.

Kayla Moorcroft

I am passionate about creating technological solutions that have impact. Having recently completed a Bachelor of Applied Science (Engineering) and Bachelor of Computer Science at Acadia University, I knew that I wanted to continue with research and practical application of my studies at a master's level. I was introduced to robotics in the 8th grade and have been fascinated with the integration of hardware and software technology ever since.

Tashal Gunatillake Mestiyage Don

I am a Master of Computer Science student at the AARH specializing in AI-enabled gastrointestinal (GI) diagnostics. My research focuses on applying artificial intelligence and computer vision to develop innovative solutions for GI disease detection and monitoring.

Layla Astorquiza

Born in Peru, my path to this field has been shaped by a deep curiosity and a drive to keep learning. That curiosity carried me through a Bachelor of Applied Science (Engineering) at Acadia University, and confirmed my desire to pursue research and hands-on work at the graduate level. Today, I am a Master of Computer Science student at the AARH, where I focus on AI-enabled gastrointestinal (GI) diagnostics. The access to advanced equipment and mentorship I've gained at AARH has fueled my growth and I am truly thankful for the opportunity.

Claire Dinn

Claire Dinn is a Bachelor of Computer Science Honours graduate (‘26) and is a research associate with the AARH lab. She has been a part of the lab since January 2025. Claire has a special interest in the application of technology to agriculture and environmental systems, particularly through the optimization of organic systems and the use of data analytics, artificial intelligence, and interdisciplinary approaches to address complex challenges. Her work now primarily focuses on research, paper writing, and grant applications. Claire is an incoming JD candidate at Dalhousie University Schulich School of Law and is interested in exploring the intersection of law, technology, and environmental innovation.