BEGIN:VCALENDAR
PRODID:-//eluceo/ical//2.0/EN
VERSION:2.0
CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:2e37018f6231959dfe845d22cfe296e7
DTSTAMP:20260511T183259Z
SUMMARY:Masoud förbättrade datorkretsar
DESCRIPTION:Kontakt: susanna.lonnqvist@eit.lth.se\n\nDescribe your research
  in a popular science way&nbsp\;&nbsp\;Energy\, efficiency\, and environme
 ntal impact are among the most critical concerns guiding every step of tec
 hnological advancement. Artificial intelligence is expanding into nearly e
 very aspect of daily life and requires access to and processing of huge am
 ounts of data\, which leads to increasingly resource-demanding workloads. 
 Deploying AI on battery-powered devices with limited energy and memory mak
 es it essential to address energy efficiency directly at the chip level an
 d rethink conventional computing architectures instead of relying on tradi
 tional approaches that only attempt to mitigate performance and energy bot
 tlenecks. My research focuses on enhancing future AI devices to deliver hi
 gher performance with lower energy demand\, avoiding the waste of time and
  power in conventional computing architectures. In conventional systems\, 
 data is constantly shuttled between processors and memory\, which results 
 in unnecessary energy consumption and performance loss. The developed appr
 oach enables memory to perform parts of the computation close to where the
  data already resides. This data-centric computing concept\, known as near
 -memory computing\, can make everything from small sensors to advanced edg
 e AI systems significantly more efficient.What made you want to pursue a P
 hD?I was very eager to understand the underlying principles and truly lear
 n how computing systems work. I have always been ambitious to shape techno
 logy and to contribute meaningfully to the driving force that pushes it fo
 rward. Pursuing a PhD gave me the opportunity to explore ideas in depth an
 d work on innovations that can make a real impact in the future.What is th
 e most fascinating or interesting with your thesis subject?What fascinates
  me most is how relatively small architectural changes near memory can lea
 d to dramatic improvements in both performance and energy efficiency. Even
  subtle shifts in where and how computations are carried out can unlock si
 gnificant system-level benefits. This demonstrates that meaningful innovat
 ion does not always depend on inventing entirely new technologies. In many
  cases\, the key lies in rethinking and reengineering existing technologie
 s in smarter\, more efficient ways\, allowing us to push the boundaries of
  what current hardware can achieve.Do you believe some results from your r
 esearch will be applied in practice eventually? And if so\, how / how?In t
 he past few years\, near-memory computing has started to gain significant 
 traction\, and researchers from different disciplines have contributed to 
 realizing and improving this concept even further. I believe that in the n
 ear future\, commercial products will be equipped with data-centric hardwa
 re architectures in one form or another. This shift will enable more effic
 ient AI processing directly on edge devices\, reducing energy consumption 
 and latency while improving overall system performanceLänk till avhandlin
 gen (på engelska\, Lunds universitets forskningsportal)&nbsp\;\n\nMer inf
 ormation om händelsen: https://www.eit.lth.se/evenemang/masoud-forbattrad
 e-datorkretsar
DTSTART;TZID=GMT:20251121T081500
DTEND;TZID=GMT:20251121T103000
LOCATION:E-huset\, E:1406
END:VEVENT
END:VCALENDAR