Sélectionner des publications

Barut, G., Tremblay, J.-É., Burgers, T., Schiffrine, N., Michel, C., & Ardyna, M. (2025). Water mass assemblages and nutrient dynamics in Nares Strait: A multiyear perspective. Journal of Geophysical Research: Oceans, 130(12). https://doi.org/10.1029/2025JC023074 (https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025JC023074)

Bassam, A. M., & Seto, M. L. (2025). Derivation of a low-complexity pilot-aided Doppler estimator for underwater acoustic applications. The Journal of the Acoustical Society of America, 157(5), 3705–3717. https://doi.org/10.1121/10.0036691 (https://pubs.aip.org/asa/jasa/article/157/5/3705/3346986/Derivation-of-a-Low-Complexity-Pilot-Aided-Doppler)

Bui, T. T., Masaracchia, A., Sharma, V., Dobre, O. A., & Duong, T. Q. (2024). Impact of 6G space–air–ground integrated networks on hard-to-reach areas: Tourism, agriculture, education, and Indigenous communities. EAI Endorsed Transactions on Tourism, Technology and Intelligence, 1(1). https://doi.org/10.4108/eettti.6812 (PDF: https://publications.eai.eu/index.php/ttti/article/view/6812/3396, regular link: https://publications.eai.eu/index.php/ttti/article/view/6812)

Chawarski, J., Coté, D., & Geoffroy, M. (2025). Unsupervised classification increases precision in acoustic broadband target strength measurements of mesopelagic fish. The Journal of the Acoustical Society of America, 158(5), 3994–4006. https://doi.org/10.1121/10.0039933 (https://pubs.aip.org/asa/jasa/article/158/5/3994/3372878/Unsupervised-classification-increases-precision-in)

Fernando, H.J.S., Dorman, C., Pardyjak, E., Shen, L., Wang, Q., Creegan, E., Gaberšek, S., Gultepe, I., Hoch, S., Lenain, L., Richter, D., Chang, R., VandenBoer, T. C., Bardoel, S., Barve, A., Blomquist, B., Bullock, T., Chen, Z., Colosi, L.,... Yamaguchi, R. (2025). Fatima-GB: Searching clarity within marine fog. Bulletin of the American Meteorological Society, 106(6), E971-E1016. https://doi.org/10.1175/BAMS-D-23-0050.1 (https://journals.ametsoc.org/view/journals/bams/106/6/BAMS-D-23-0050.1.xml)

Galbraith, P., Sévigny, C., Dumont, D., & Bourgault, D. (2024). Sea ice interannual variability and sensitivity to fall oceanic conditions and winter air temperature in the Gulf of St. Lawrence, Canada. Journal of Geophysical Research: Oceans, 129(7). https://doi.org/10.1029/2023JC020784 (https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023JC020784)

Geoffroy, M., Limoges, A., Ardyna, M., Matthes, L., Archambault, P., Barut, G., Bécu, G., Bélanger, S., Belko, A. P., Bertrand, E., Blais, G., Brice, C., Brunner, L., Burgers, T., Capelle, D., Charette, J., Combaz, T., Daase, M., Desmarais,... Michel, C. (2026). First characterization of the marine ecosystem of Archer Fiord in the Lasting Ice Area of the High Arctic: A productivity paradox. Arctic Science, 12, 1–31. https://doi.org/10.1139/as-2024-0073 (https://cdnsciencepub.com/doi/10.1139/as-2024-0073)

Goharnejad, H., Perrie, W., Toulany, B., Zhang, M., Long, Z., Casey, M. P., & Meylan, M. H. (2025). Arctic wave climate including marginal ice zone and future climate scenarios. Journal of Marine Science and Engineering, 13(8). (https://www.mdpi.com/2077-1312/13/8/1562)

Hasan, K., Papry, K., Trappenberg, T., & Haque, I. (2024). A generalized GNN‑Transformer‑based radio link failure prediction framework in 5G RAN. IEEE Transactions on Machine Learning in Communications and Networking, 3 https://doi.org/10.1109/TMLCN.2025.3575368 (https://ieeexplore.ieee.org/document/11018489)

Herbig, J., Fisher, J.A.D., Niemi, A., Bouchard, C., & Geoffroy, M. (2025) Biophysical influences and Appendicularia abundance differentiate zooplankton and age-0 fish communities spanning subarctic and Arctic bioregions. Marine Ecolology Progress Series, 775,17-39 https://doi.org/10.3354/meps15028 (abstract: https://www.int-res.com/journals/meps/articles/meps15028 Article PDF: https://www.int-res.com/articles/meps_oa/m775p017.pdf)

Huang, H., Ye, Q., & Zhou, Y. (2025). Safety-critical offloading with constrained reinforcement learning for multi-access edge computing. ACM Transactions on Sensor Networks, 21(2), 1–37. https://doi.org/10.1145/3715695 (https://dl.acm.org/doi/10.1145/3715695)

Hughes, C.J., Sheng, J., Perrie, W., & Liu, G. (2025). Performance assessment of the coupled circulation‑wave modelling system for the Northwest Atlantic. Journal of Marine Science and Engineering, 13(2), 239. https://doi.org/10.3390/jmse13020239 (https://www.mdpi.com/2077-1312/13/2/239)

Jacobsen, E., Brown, T., Cote, D., & Geoffroy, M. (2026) Interspecific differences in mercury and organochlorine pesticide concentrations in Arctic and boreal fishes, Environmental Toxicology and Chemistry, 45(1), 195–209. https://doi.org/10.1093/etojnl/vgaf265 (https://academic.oup.com/etc/article/45/1/195/8296862)

Lu, Y., Zhang, B., Perrie, W., & Sheng, J. (2025). Arctic sea ice and open water classification from dual‑polarization synthetic aperture radar imagery using deep learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 11803–11815. https://doi: 10.1109/JSTARS.2025.3564847 (https://ieeexplore.ieee.org/document/10979201)

Ma, B., Zhang, H., Endo, K., Terui, M., Koyama, T., & Miyoshi, T. (2026). Precision underwater localization using pyramidal arranged AR markers and real-time image enhancement. Measurement, 264, Article 120132. https://doi.org/10.1016/j.measurement.2025.120132 (https://www.sciencedirect.com/science/article/pii/S0263224125034918?via%3Dihub)

Motahari, S., Morgan, S., Hendricks, A., Sonnichsen, C., & Sieben, V. (2024). Continuous flow with reagent injection on an inlaid microfluidic platform applied to nitrite determination. Micromachines, 15(4), 519. https://doi.org/10.3390/mi15040519  (https://www.mdpi.com/2072-666X/15/4/519)

Motahari, S., Zabihihesari, A., & Sieben, V. (2026). Investigating a droplet microfluidic system for measuring total alkalinity. Sensors and Actuators B: Chemical, 454. https://doi.org/10.1016/j.snb.2026.139595 (https://www.sciencedirect.com/science/article/pii/S0925400526001735)

Normandeau, A., Kurylyk, B. L., Harrison, E. J., Geizer, H. D., Philibert, G., Way, R., Algar, C. L., MacMillan‑Kenny, Z., Eamer, J. L., Van Nieuwenhove, N., Eamer, J. B. R., Pijogge, L., Cyr, F., Church, I., Oliver, E., Saunders, M., & Limoges, A. (2025). Winter in the coastal ocean: Seasonal freezing causes seafloor expansion and contraction. Science Advances, 11(44), eadw7439. https://doi.org/10.1126/sciadv.adw7439 (https://www.science.org/doi/10.1126/sciadv.adw7439)

Ohashi, K., Sheng, J., & Hatcher, B.G. (2025). A case study in the use of ocean circulation and particle-tracking models to quantify connectivity among Marine Protected Areas in Canadian Atlantic waters. Frontiers in Marine Science, 12. https://doi.org/10.3389/fmars.2025.1553552 (https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2025.1553552/full)

Olatinwo, D. D., & Seto, M. L. (2025). Low-SNR Northern Right Whale Upcall Detection and Classification Using Passive Acoustic Monitoring to Reduce Adverse Human–Whale Interactions. Machine Learning and Knowledge Extraction, 7(4), 154. https://doi.org/10.3390/make7040154 (https://www.mdpi.com/2504-4990/7/4/154)

Park, K., Atamanchuk, D., MacNeil, A., & Sieben, V. (2025). The PIXIE: A low-cost, open-source, multichannel in situ fluorometer applied to dye-tracing in Halifax Harbor. Oceanography, 38(2), 66–72. https://doi.org/10.5670/oceanog.2025.309 (https://tos.org/oceanography/article/the-pixie-a-low-cost-open-source-multichannel-in-situ-fluorometer-applied-to-dye-tracing-in-halifax-harbor)

Pascal, L., Cloutier‑Artiwat, F., Zanon, A., Wallace, D. W. R., & Chaillou, G. (2025). New deoxygenation threshold for N₂ and N₂O production in coastal waters and sediments. Global Biogeochemical Cycles, 39(8). https://doi.org/10.1029/2024GB008218 (https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024GB008218)

Pham, V. P., Huynh, D. V., Ak, E., Nguyen, L. D., Canberk, B., Dobre, O. A., & Duong, T. Q. (2025). Joint optimal design for speed and routing in maritime logistics for green supply chain: A quantum approximate optimization algorithm approach. IEEE Internet of Things Journal, 12(19), 39556–39571. https://doi.org/10.1109/JIOT.2025.3592874 (https://ieeexplore.ieee.org/document/11105081)

Sonnichsen, C., Atamanchuk, D., Hendricks, A., Morgan, S., Smith, J., Grundke, I., Luy, E., & Sieben, V. (2025). An automated microfluidic analyzer for in situ monitoring of total alkalinity. ACS Sensors, 8(1), 344–352. https://doi.org/10.1021/acssensors.2c02343 (https://pubs.acs.org/doi/10.1021/acssensors.2c02343)

Tao, J., Shen, H., Danielson, R. E., & Perrie, W. (2025). Sea surface temperature fronts and North Atlantic right whale sightings in the western Gulf of St. Lawrence. Journal of Marine Science and Engineering, 13(7). https://doi.org/10.3390/jmse13071280 (https://www.mdpi.com/2077-1312/13/7/1280)

Uzhansky, E. M., Barclay, D. R., & Buckingham, M. J. (2025). On the measurement of ocean acidity with ambient sound. Journal of Geophysical Research: Oceans, 130(10). https://doi.org/10.1029/2025JC022575 (https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025JC022575)

Uzhansky, E., & Barclay, D. R. (2024). Listening to the acidity of the ocean: Inversion of passive deep sea acoustic data for pH. The Journal of the Acoustical Society of America, 155(3, Suppl.), A99–A99. https://doi.org/10.1121/10.0026943 (https://pubs.aip.org/asa/jasa/article/155/3_Supplement/A99/3301544/Listening-to-the-acidity-of-the-ocean-Inversion-of)

Wang, B., Laurent, A., Pei, Q., Sheng, J., Atamanchuk, D., & Fennel, K. (2025). Maximizing the Detectability of Ocean Alkalinity Enhancement (OAE) While Minimizing Its Exposure Risks: Insights From a Numerical Study. Earth’s Future, 13.4. (https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024EF005463)

Yamahara, K. M., Allan, E. A., Robidart, J., Wilson, W. H., Birch, J. M., Craw, P., Edson, E., Engstrom, I. B., Fukuba, T., Govindarajan, A. F., Martins, A. M., Parsons, K. M., Sieben, V. J., Thomas, A., Wilson, I., & Scholin, C. A. (2025). A State-Of-The-Art Review of Aquatic eDNA Sampling Technologies and Instrumentation: Advancements, Challenges, and Future Prospects. Environmental DNA, 7(4). https://doi.org/10.1002/edn3.70170 (https://onlinelibrary.wiley.com/doi/10.1002/edn3.70170)

Zabihihesari, A., Motahari, S., Sonnichsen, C., & Sieben, V. (2026). Improving the efficiency of a lab‑on‑a‑chip total alkalinity analyzer via Dean flow‑driven mixing. Microchemical Journal, 221. https://doi.org/10.1016/j.microc.2026.117069 (https://www.sciencedirect.com/science/article/pii/S0026265X26002705)

Zhang, B., & Perrie, W. (2024). Remote sensing of tropical cyclones by spaceborne synthetic aperture radar: Past, present and future. IEEE Geoscience and Remote Sensing Magazine, 12(4), 79 - 109. https://doi.org/10.1109/MGRS.2024.3405310 (https://ieeexplore.ieee.org/document/10552322)

Zhang, B., Zhang, M., & Perrie, W. (2024). Automatic detection and tracking polar lows from synthetic aperture radar and radiometer observations. International Journal of Remote Sensing, 45(14), 4672 - 4691. https://doi.org/10.1080/01431161.2024.2367172 (https://www.tandfonline.com/doi/full/10.1080/01431161.2024.2367172?scroll=top&needAccess=true)

Zhang, X., Vihma, T., Rinke, A., Moore, G.K.W., Tang, H., Äijälä, C., DuVivier, A., Huang, J., Landrum, L. Li, C., Zhang, J., Boisvert, L., Cheng, B., Cohen, J., Handorf, D., Hanna, E., Hartmuth, K.,  Jonassen, M.O., Luo, Y., … Zhang, M. . (2025). Weather and climate extremes in a changing Arctic. Nature Reviews Earth & Environment, 6, 691–711. https://doi.org/10.1038/s43017-025-00724-4 (https://www.nature.com/articles/s43017-025-00724-4)

Zhou, Y., Ye, Q., & Huang, H. (2024). DAS: A DRL-based scheme for workload allocation and worker selection in distributed coded machine learning. IEEE Internet of Things Journal, 11(15), 26076–26090. https://doi.org/10.1109/JIOT.2024.3394714 (https://ieeexplore.ieee.org/document/10521541)

Zi, Y., Long, Z., Sheng, J., Lu, G., Perrie, W., & Xiao, Z. (2025). The Sudden Stratospheric Warming Events in the Antarctic in 2024. Geophysical Research Letters, 52(7). https://doi.org/10.1029/2025GL115257 (https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2025GL115257)

Bryan, C., & Fitting, E. (2025). Structured exclusions, partial inclusions: Transnational care chains and temporary foreign workers in Atlantic Canada. Dialectical Anthropology, 49, 337–364. https://doi.org/10.1007/s10624-025-09765-z (https://link.springer.com/article/10.1007/s10624-025-09765-z

Fitting, E. (2025). The transnational agricultural care chains of migrant farmworkers: Land, livelihoods, and social reproduction. Agriculture and Human Values, 42, 2397–2409. https://doi.org/10.1007/s10460-024-10698-6 (https://link.springer.com/article/10.1007/s10460-024-10698-6)

Hébert, K. (2024). Un évêque et ses communautés. Les relations de Mgr Langevin avec les communautés religieuses féminines (1867–1891). Études d’histoire religieuse, 90(2), 99–119. https://doi.org/10.7202/1114833ar (https://www.erudit.org/en/journals/ehr/2024-v90-n2-ehr09704/1114833ar/)

La Charité, C. (2024). Les démêlés de Charles Guay, premier historien de Rimouski, avec Mgr Langevin : « vous demander un sou, c’est vous arracher le cœur ». Études d’histoire religieuse, 90(2), 81–97. https://doi.org/10.7202/1114832ar (https://www.erudit.org/en/journals/ehr/2024-v90-n2-ehr09704/1114832ar/)

Rankin, L. K., & Crompton, A. (2024). Centering Inuit women in foreign encounters: Facets of life over four centuries in Labrador, Canada. Historical Archaeology, 58, 565–581. https://doi.org/10.1007/s41636-024-00528-1 (https://link.springer.com/article/10.1007/s41636-024-00528-1)

Thuot, J.-R. (2024). L’ascendance familiale de Jean Langevin : Petite histoire des réseaux de pouvoir dans la colonie laurentienne, 1650–1850. Études d’histoire religieuse, 90(2), 21–39. https://doi.org/10.7202/1114829ar (https://www.erudit.org/en/journals/ehr/2024-v90-n2-ehr09704/1114829ar/)

Whitridge, P. (2025). Graffiti, atmosphere and the structure of feeling of marginal places. Journal of Archaeological Method and Theory, 33. https://doi.org/10.1007/s10816-025-09747-z (https://link.springer.com/article/10.1007/s10816-025-09747-z)