News

Dr. Esteve Hassan Appointed to NSERC

Dr. Esteve Hassan has been appointed to the NSERC Scholarships and Fellowships Review Committee for Computing Sciences.

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Enhancing Interpretability in DL Models for Breast Cancer Detection

Acadia CS research uses deep learning to improve early breast cancer detection and diagnosis.

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A Comparison of Autoencoders and Variational Autoencoders for Anomaly Detection in Dermoscopic Images

Acadia CS research compares deep learning models for detecting skin cancer from dermoscopic images, working towards more accurate and automated diagnoses.

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Talks

Oct 30
Panel Discussion Friday, October 30, 2026 • 12:30 pm • BAC 234

What Is Called Thinking? What Calls for Thinking?

AI Questions and Human Responses

Acadia Faculty Panelists:

  • Dr. Paul Abela, Department of Philosophy (+ SPT)
  • Dr. Daniel Lametti, Department of Psychology
  • Dr. Ryan MacNeil, Manning School of Business (+ SPT)
  • Dr. Daniel L. Silver, Jodrey School of Computer Science (Professor Emeritus)

Moderator: Dr. Andrew Biro, Department of Politics

Presented by the Acadia Graduate Program in Social and Political Thought.

Acadia is a fragrance-free campus. Please do not use perfume, cologne or other fragrances so everyone can comfortably attend this session.

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Oct 7
Alumni Speaker Series Wednesday, October 7, 2026 • 2:30–3:30 pm • CAR 113

AI on Edge/Embedded Hardware and Sensor Fusion for Autonomous Perception

Hardik Manek

Speaker: Hardik Manek, Head of AI at Site 20/20 (MSc Computer Science, Acadia University, 2021)

Abstract: This talk covers how AI systems are deployed on edge and embedded hardware, where compute, power, and latency constraints shape every design decision. Drawing on production systems he has led, Hardik will present how LiDAR, radar, camera, GNSS, and IMU data are fused into reliable real-time perception, and the practical trade-offs of taking models from prototype to product.

Short bio: Hardik Manek is the Head of AI & ML at Site 20/20, based in Dartmouth, Nova Scotia, where he leads the development of AI-powered systems deployed on edge and embedded hardware. His work spans sensor fusion, real-time perception, and applied AI solutions in areas such as anomaly detection, document intelligence, and process automation, taking systems from prototype to production.

Acadia is a fragrance-free campus. Please do not use perfume, cologne or other fragrances so everyone can comfortably attend this session.

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