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Sehrish Qummar

PhD student

Publications

2025

Sehrish Qummar, August Ernstsson, Christoph Kessler, Oleg Sysoev (2025) SkePU-DNN: Algorithmic Skeleton Programming for Deep Learning on Heterogeneous Systems 2025 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS, IPDPSW, p. 423-432 (Conference paper)

https://dx.doi.org/10.1109/IPDPSW66978.2025.00068

Research

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Graduate School in Computer Science, CUGS

The scientific scope of the graduate school CUGS at the Department of Computer and Information Science at Linköping University includes central parts of core computer science and computer engineering.

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Cybersecurity

Welcome to the cybersecurity platform at Linköping University. Here you can find information about research and education in cybersecurity, as well as researchers and teachers active in the field.

About the division

Datorsal med studenter

Cybersecurity (CYBER)

The division Cybersecurity is part of the Department of Computer and Information Science. The division conducts research and education in cybersecurity and consists of four research groups.

Colleagues at CYBER

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Senior Associate Professor, Head of Division

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Assistant Professor

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Mohammad Borhani

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Carl Magnus Bruhner

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Niklas Carlsson

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Efstathios Chatziloizos

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Seyed Erfan Delfani Abbariki

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Pansee Elessawy

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Reyhane Falanji

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Susan Harrington

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David Hasselquist

Adjunct Assistant Lecturer

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Atefeh Mirzabeigi

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Sheyda Mirzakhani

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Alireza Mohammadinodooshan

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Simin Nadjm-Tehrani

Professor, Head of Unit

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Nikolaos Pappas

Associate Professor, Docent

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Mehrdad Salimnejad

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Nahid Shahmehri

Professor Emerita

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Assistant Professor

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Navya Sivaraman

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Charilaos Skandylas

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Research Engineer

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Federica Uccello

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Johannes Wilson

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Karol Wojtulewicz

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Andreas Wrisley

About the department

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Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.