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X-ORIGINAL-URL:https://ee.iisc.ac.in
X-WR-CALDESC:Events for EE
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TZID:Asia/Kolkata
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TZOFFSETFROM:+0530
TZOFFSETTO:+0530
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250403T080000
DTEND;TZID=Asia/Kolkata:20250404T170000
DTSTAMP:20260526T071448
CREATED:20250312T114643Z
LAST-MODIFIED:20250312T114707Z
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SUMMARY:EECS RESEARCH STUDENTS SYMPOSIUM - 2025
DESCRIPTION:EECS RESEARCH STUDENTS SYMPOSIUM – 2025 \n\nThe following is the link:\n(https://eecs.iisc.ac.in/EECS2025/
URL:https://ee.iisc.ac.in/event/eecs-research-students-symposium-2025/
LOCATION:IISc
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250416T020000
DTEND;TZID=Asia/Kolkata:20250416T170000
DTSTAMP:20260526T071448
CREATED:20250415T115408Z
LAST-MODIFIED:20250415T115408Z
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SUMMARY:Talk on Noise in imaging: focus on correlation and nonlinearity
DESCRIPTION: A two-part talk on\n\n“Noise in imaging: focus on correlation and nonlinearity” \nby \n\nProfessor Alessandro Foi*\, Tampere University (TAU)\, Finland\n(* of the BM3D fame\, among other things)\n\non April 16\, 2025 (Wednesday)\n\nfrom 2 PM to 5.30 PM (coffee break at 3.30 PM)\n\nVenue: Multimedia Classroom (MMCR)\, EE Department\n\nAbstract:\nUnderstanding and characterizing noise is a foundational part of the design and analysis of an imaging system\, and it is also essential for the development of the corresponding image processing modules. In this talk we consider broad classes of heteroskedastic image observations and specifically focus on the noise correlation\, the noise anisotropy\, and on the nonlinear effects that can arise when dealing with capture at low signal-to-noise ratio or when maximizing the coverage of a narrow dynamic range. We demonstrate possibly unexpected and perhaps counter-intuitive phenomena which\, unless suitably modeled and accounted for\, can significantly disrupt the noise analysis and other operations in an image processing pipeline. \nThe talk is divided into two parts.\nIn the first part\, I will introduce concrete examples and the relevant mathematical models of noise found in various imaging and image processing systems used in biomedical\, defense\, security\, as well as consumer applications\, including x-ray tomography\, infrared thermography\, confocal fluorescence microscopy\, and on-demand video streaming. \n\nIn the second part\, I will discuss the spectral distortion that takes place when nonlinear transformations are applied to correlated noise. In particular\, I will consider the case of clipping (e.g.\, saturation\, over-exposure\, under-exposure) and the application of variance-stabilizing transformations.\n\nBiography of the speaker:\nAlessandro Foi is a Professor of Signal Processing at Tampere University (TAU)\, Finland. He leads the Signal and Image Restoration group and he is the director of TAU Imaging Research Platform. He is also the CTO of Noiseless Imaging\, a company specialized in noise-removal\, restoration\, and enhancement technology for the imaging industry.\n\nHe received the M.Sc. degree in Mathematics from the Università degli Studi di Milano\, Italy\, in 2001\, the Ph.D. degree in Mathematics from the Politecnico di Milano in 2005\, and the D.Sc.Tech. degree in Signal Processing from Tampere University of Technology\, Finland\, in 2007. His research interests include mathematical and statistical methods for signal processing\, functional and harmonic analysis\, and computational modeling of the human visual system. His work focuses on spatially adaptive algorithms for the restoration and enhancement of digital images\, on noise modeling for imaging devices\, and on the optimal design of statistical transformations for the stabilization\, normalization\, and analysis of random data. He is a Fellow of the IEEE for his contributions to image restoration and noise modeling.\n\nHe was the Editor-in-Chief of the IEEE Transactions on Image Processing from 2021 to 2023. He previously served as a Senior Area Editor for the IEEE Transactions on Computational Imaging and as an Associate Editor for the IEEE Transactions on Image Processing\, the SIAM Journal on Imaging Sciences\, and the IEEE Transactions on Computational Imaging.\n\nHost faculty: Prof. Soma Biswas (EE) and Prof. Chandra Sekhar Seelamantula (EE)
URL:https://ee.iisc.ac.in/event/talk-on-noise-in-imaging-focus-on-correlation-and-nonlinearity/
LOCATION:MMCR\, Hall C 241\, 1st floor\, EE department
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250417T140000
DTEND;TZID=Asia/Kolkata:20250417T170000
DTSTAMP:20260526T071448
CREATED:20250415T115913Z
LAST-MODIFIED:20250415T115913Z
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SUMMARY:Talk on Things you should know before submitting your next paper
DESCRIPTION:A two-part talk on\n“Things you should know before submitting your next paper”\n\nby\n\nProfessor Alessandro Foi\, Tampere University (TAU)\, Finland\nFormer Editor-in-Chief\, IEEE Transactions on Image Processing\n\non April 17\, 2025 (Thursday)\n\nfrom 2 PM to 5 PM (coffee break at 3.15 PM)\n\nVenue: Multimedia Classroom (MMCR)\, EE Department\n\nHosts: Prof. Chandra Sekhar Seelamantula (EE) and Prof. Soma Biswas (EE)\n\nAbstract:\n1) Publishing process; Ethics and Etiquette : “Things you should know before submitting your next paper”\nThe lecture is particularly addressed to new authors with little experience about the publication workflow and principles\, and it is focused on the dos and don’ts for successfully publishing a technical paper. It offers an overview of the peer-review process and discusses the ethics and etiquette standards that authors are expected to uphold and that reviewers and editors are looking for. The lecture is based on material used at IEEE training events for authors and volunteers\, supplemented by additional material by the Committee on Publication Ethics (COPE); it discusses general principles followed by various publishers and communities in science and engineering.\n\nTopics include: choice of the publication venue\, framing of the contribution with respect to prior art and literature\, authorship and acknowledgment\, fair reporting of own and others’ results\, appropriate disclosure and referencing to own previous work\, appropriate description and citing of prior work\, plagiarism\, duplicate submissions\, inappropriate replication\, and bibliometric manipulation\, author’s responsibilities.\n\n2) Responding to reviews and managing the revision process\nIt is extremely rare (though not impossible) that a manuscript submitted to a top-tier journal gets accepted “as is” after the review of the original submission. Most often the manuscript goes through an iterative process\, where editors interact with authors and reviewers with the goal of revising the manuscript to make it suitable for publication in the journal. The lecture discusses the manuscript revision process\, highlighting the editorial perspective and the typical mistakes that authors make. Participants will learn how to manage and execute a productive and efficient revision\, ultimately maximizing the chances that the revised manuscript will get accepted\, and in fewer iterations.\n\n\nSpeaker’s biography: \nAlessandro Foi is a Professor of Signal Processing at Tampere University (TAU)\, Finland. He leads the Signal and Image Restoration group and he is the director of TAU Imaging Research Platform. He is also the CTO of Noiseless Imaging\, a company specialized in noise-removal\, restoration\, and enhancement technology for the imaging industry.\nHe received the M.Sc. degree in Mathematics from the Università degli Studi di Milano\, Italy\, in 2001\, the Ph.D. degree in Mathematics from the Politecnico di Milano in 2005\, and the D.Sc.Tech. degree in Signal Processing from Tampere University of Technology\, Finland\, in 2007. His research interests include mathematical and statistical methods for signal processing\, functional and harmonic analysis\, and computational modeling of the human visual system. His work focuses on spatially adaptive algorithms for the restoration and enhancement of digital images\, on noise modeling for imaging devices\, and on the optimal design of statistical transformations for the stabilization\, normalization\, and analysis of random data. He is a Fellow of the IEEE for his contributions to image restoration and noise modeling.\n\nHe was the Editor-in-Chief of the IEEE Transactions on Image Processing from 2021 to 2023. He previously served as a Senior Area Editor for the IEEE Transactions on Computational Imaging and as an Associate Editor for the IEEE Transactions on Image Processing\, the SIAM Journal on Imaging Sciences\, and the IEEE Transactions on Computational Imaging.
URL:https://ee.iisc.ac.in/event/talk-on-things-you-should-know-before-submitting-your-next-paper/
LOCATION:MMCR\, Hall C 241\, 1st floor\, EE department
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250421T160000
DTEND;TZID=Asia/Kolkata:20250421T170000
DTSTAMP:20260526T071448
CREATED:20250421T044654Z
LAST-MODIFIED:20250421T044802Z
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SUMMARY:Talk on Phase Retrieval: computational imaging in the machine learning era
DESCRIPTION: A talk on\n\nPhase Retrieval: computational imaging in the machine learning era\n\nby Jonathan Dong\, Biomedical Imaging Group\, Ecole polytechnique federale de Lausanne\, Switzerland\n\nVenue: B303\, Electrical Engineering Department (second floor)\, IISc\n\nDate: April 21\, 2025; Time: 4 PM (Coffee will be served at 3.45 PM)\n\nHost: Prof. Chandra Sekhar Seelamantula (EE)\n\nAbstract: \nPhase retrieval is a fundamental nonlinear inverse problem that appears across a wide range of computational imaging applications\, from X-ray and electron ptychography to phase imaging in optical microscopy. Because it is often addressed through nonlinear optimization techniques\, it has deep links with modern machine learning theory. In this talk\, I will provide a unified overview of phase retrieval models and algorithms\, highlighting the connections between different applications. I will also discuss recent theoretical insights on reconstruction guarantees derived from random matrix theory. Finally\, we’ll explore practical implementations\, and I’ll share how these extend to our recent work on differentiable physical models and open-source computational imaging tools.\n\nBiography of the speaker: \nJonathan Dong is an SNF Ambizione Fellow with Prof. Michael Unser at the Biomedical Imaging Group\, EPFL\, Lausanne\, Switzerland. He received his Ph.D. degree in Physics in 2020 from Ecole Normale Supérieure in Paris\, France. His research interests include nonlinear inverse problems and computational imaging\, with a focus on physics-based models\, reconstruction algorithms\, and statistical analysis methods.
URL:https://ee.iisc.ac.in/event/talk-on-phase-retrieval-computational-imaging-in-the-machine-learning-era/
LOCATION:B-303\,EE
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