February 17, 2026
A Tour through AI-Powered Imaging - Neural Image Signal Processing
(ISP)
5:30 PM PST
Event is free but registration is required.
Register at: https://events.vtools.ieee.org/m/536828
Abstract:
This talk explores the evolving landscape of AI-powered
computational photography and imaging, focusing on how deep learning
is redefining traditional camera pipelines. We begin by examining
the data foundation—from real-world RAW and RGB image collection to
synthetic data generation strategies that expand training diversity
and robustness. Building on this, we delve into the design of Neural
Image Signal Processors (Neural ISPs)—learning-based pipelines that
perform demosaicing, denoising, tone mapping, and color correction
in a unified framework. The session highlights practical methods to
make neural ISPs fast, controllable, and deployable, bridging the
gap between research prototypes and production-ready systems.
Attendees will gain hands-on insight into dataset design,
simulation, and model evaluation, and leave with a deeper
understanding of how AI can push the limits of image quality,
performance, and creative control.
Bio:
Shivansh leverages expertise in computer vision, signal processing,
and deep learning to develop image registration and restoration
algorithms for mobile imaging. Prior to Glass, he worked at Qualcomm
R&D on hardware-efficient algorithms for 6DoF head-pose-tracking
and 3D Reconstruction. He earned his Master's degree from Penn State
and Bachelor's from Delhi College of Engineering and has conducted
research work at IIT-Kanpur, IIT-Delhi along with collaborative
research with Google AI. His research is published at CVPR, ECCV,
ACM-MM, and others, along with pending US patent applications.
Presented by: IEEE San Diego Computer Society and
co-sponsored by IEEE Buenaventura Computer Society
February 26, 2026
Engineering Week Awards Mixer / NASA's NISAR Mission Talk
6:00 PM PST
Event is free but registration is required.
Register at: https://www.eventbrite.com/e/1981986043610
Join us for an exciting Lecture on NASA's NISAR Mission, Scholarship
Awards and free dinner from Stonefire Grill. Welcome to the
Engineering Week Awards Mixer at Hub101 - Cal Lutheran Center for
Entrepreneurship! Join us on February 26, 2026 at 6:00 PM for a
night of celebration and inspiration. During the event, we will have
a special talk on NASA's NISAR Mission by expert in the field. Don't
miss this opportunity to learn about NASA's flagship Earthscience
Mission!
This event is hosted by IEEE BV Section and promises to be a fun and
informative evening. Come network with fellow engineers and
enthusiasts in a welcoming environment. Mark your calendars and get
ready for an exciting night! We can't wait to see you there.
Location
Hub101 - Cal Lutheran Center for Entrepreneurship
31416 Agoura Road
Westlake Village, CA 91361
Presented by: IEEE Buenaventura Section
April 23, 2026
Complexity of the Internet—An AI Observation Science Perspective
4:00 PM PST
Event is free but registration is required.
Register at: https://events.vtools.ieee.org/m/533802
Abstract:
What does “normal” look like in a system that grows, adapts, and
scales at extraordinary speed? How do its underlying patterns shift
as the network expands from its early days to a billion-fold
increase in scale?
In this seminar, Dr. Kepner will explore how advances in
high-performance, privacy-preserving AI graph analysis tools open
new windows into the Internet’s behavior. His work sheds light on
emergence, structure, and stability within this constantly changing
global system.
Bio:
Dr. Jeremy Kepner is an MIT Lincoln Laboratory Fellow. He founded
the Lincoln Laboratory Supercomputing Center and pioneered the
establishment of the Massachusetts Green High Performance Computing
Center. He has developed novel big data and parallel computing
software used by thousands of scientists and engineers worldwide. He
has led several embedded computing efforts, which earned him a 2011
R&D 100 Award. Kepner has chaired the SIAM Data Mining
conference, the IEEE Big Data conference, and the IEEE High
Performance Extreme Computing conference. Kepner is the author of
two bestselling books, Parallel MATLAB for Multicore and Multinode
Computers, and Graph Algorithms in the Language of Linear Algebra.
His peer-reviewed publications include works on abstract algebra,
astronomy, astrophysics, cloud computing, cybersecurity, data
mining, databases, graph algorithms, health sciences, plasma
physics, signal processing, and 3D visualization. In 2014, he
received Lincoln Laboratory's Technical Excellence Award. You can
learn more about his work here:
https://www.mit.edu/~kepner/
Kepner holds a BA degree in astrophysics from Pomona College and a
PhD degree in astrophysics from Princeton University. He is a fellow
of the Society of Industrial Applied Mathematics (SIAM) and is a
faculty advisor to the MIT SIAM student group.
Directions to 32-G449 - MIT Stata Center, 32 Vassar Street,
Cambridge, MA: Please use the main entrance to the Stata Center at
32 Vassar Street (the entrance closest to Main street) as those
doors will be unlocked. Upon entering, proceed to the elevators
which will be on the right after passing a large set of stairs and a
MITAC kiosk. Take the elevator to the 4th floor and turn right,
following the hall to an open area; 32-G449 will be on the left.
Location of Stata on campus map
This joint meeting of the Boston Chapter of the IEEE Computer
Society and GBC/ACM will be hybrid (in person and online).
Up-to-date information about this and other talks is available
online at
https://ewh.ieee.org/r1/boston/computer/.
You can sign up to receive updated status information about this
talk and informational emails about future talks at
https://mailman.mit.edu/mailman/listinfo/ieee-cs,
our self-administered mailing list.
Location
32 Vassar St
Cambridge, Massachusetts
United States
Building: MIT building 32
Room Number: 32-G449 (Kiva)
Presented by: Boston Chapter of the IEEE Computer Society and
GBC/ACM and co-sponsored by IEEE Buenaventura Computer Society
Advanced
Personnel Profiles
Staffing & Recruiting Since
1995
Director,
Electrical Engineering – Valencia, CA
huMannity Medtec (formerly the Alfred Mann
Foundation) is searching for an exceptional Director of
Electrical Engineering to lead their innovative 10-person team
in the development of cutting-edge bioelectronic, implantable
medical devices. This leadership role requires a seasoned
professional who combines deep technical expertise with
outstanding people management skills and a transformational
leadership philosophy.
Education & Experience:
- Master's Degree or PhD in Electrical Engineering
preferred,
- Minimum 20 years of progressive electrical
engineering experience in medical device development or
similar technological, regulated environments
- Minimum 10 years of direct people management
experience
Contact Pat Jacobs — 805-579-0630 — pat.jacobs@advancedpersonnelprofiles.com
Electrical
Engineer – Valencia, CA
huMannity Medtec (formerly the Alfred Mann
Foundation) is searching for an exceptional Director of
Electrical Engineering to lead their innovative 10-person team
in the development of cutting-edge bioelectronic, implantable
medical devices. As a key member of our Electrical Engineering
team, the Electrical Engineer will collaborate closely with
senior engineers in all phases of medical device development,
from early concept through qualification, field testing, and
clinical use.
Education and/or Experience:
•
BSEE or equivalent required. Advanced degree preferred.
•
3+ years of industry experience.
•
Solid understanding of circuit theories and circuit analysis
techniques for analog and digital systems, battery power
systems, and/or RF circuit design is essential.
•
Prior experience in Altium Designer, LTSPICE simulation,
LabVIEW, Python, C, C++, is desirable.
Contact Pat Jacobs — 805-579-0630 — pat.jacobs@advancedpersonnelprofiles.com
Principal
Electrical Engineering – Valencia, CA
huMannity Medtec (formerly the Alfred Mann
Foundation) is searching for an Electrical Engineer.
As a key member of our Electrical Engineering team, the
Electrical Engineer will collaborate closely with senior
engineers in all phases of medical device development, from
early concept through qualification, field testing, and
clinical use.
Education and/or Experience:
- BSEE or equivalent required. Advanced degree
preferred.
- 5+ years of industry/medical device experience.
- 10+ years working experience as EE
- Solid understanding of circuit theories and
circuit analysis techniques for analog and digital
systems, battery power systems, and/or RF circuit design
is essential.
- Prior experience in Altium Designer, LTSPICE
simulation, LabVIEW, Python, C, C++, is desirable.
Contact Pat Jacobs — 805-579-0630 — pat.jacobs@advancedpersonnelprofiles.com
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