M. Shahraki Moghaddam, PhD

Mansureh Shahraki Moghaddam received her Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Delhi (IITD), New Delhi, India, in 2015. In September 2015, she joined Seoul National University in Seoul, South Korea, as a postdoctoral researcher, where she worked on the Next-Generation Televisions (NG-TV) project in collaboration with the Samsung DMC Research Center.

In December 2019, she moved to Inria in Rennes, France, to pursue her second postdoctoral research position. Later, in December 2020, she also began supervising students at EPITECH Rennes, France. In December 2021, she transitioned to the industry as an FPGA Engineer at Synopsis Technologies Corporation.

Since August 2022, she has been serving as a lecturer in the Quantum and Computer Engineering (QCE) group at the Department of Electrical Engineering, Mathematics, and Computer Science (EEMCS), TU Delft.

She has published papers and co-authored a book on Hardware/Software Co-design while she has been pursuing PhD and post-Docs.

Her enthusiastic is helping students to grow in the Digital Design as well as Computer Organization and Architecture, also lab projects such as Chip Design, and Mars Rover, using new technologies; Boards and tools.

She has published papers and co-authored a book on Hardware/Software Co-design while she has been pursuing PhD and post-Docs. Her research and teaching area of interest are;

• FPGA-Based System Design and Optimization
• Multi-Core Processor Architectures and Parallel Computing
• Digital Design and Verification for Hardware Systems 
• Smart Robotics and Autonomous Systems using FPGA and AI 

PUBLICATIONS

• Hochan Lee, Mansureh S. Moghaddam, Dongkwan Suh and Egger Bernhard, Improving Energy Efficiency of Coarse Grained Reconfigurable Arrays through Code Compression/decompression, Transactions on Architecture and Code Optimization, 2018.
• Hochan Lee, Mansureh S. Moghaddam, Dongkwan Suh, and Bernhard Egger, Improving Energy Efficiency of Coarse-Grained Reconfigurable Arrays through Modulo Schedule Compression/Decompression, In ACM Transactions on Architecture and Code Optimization (TACO), Volume 15, Issue 1, Article 1, April 2018.
• Daewoo Kim, Mansureh S. Moghaddam, Hossein Moradian, Hyeonuk Sim, Jongeun Lee, Kiyoung Choi, FPGA Implementation of Convolutional Neural Network Based on Stochastic Computing, International Conference on Field Programmable Technology, Melbourne, Australia, Dec 11-13, 2018.
• Barend Harris, Mansureh S. Moghaddam, Duseok Kang, Inpyo Bae, Euiseok Kim, Hyemi Min, Hansu Cho, Sukjin Kim, Bernhard Egger, Soonhoi Ha, and Kiyoung Choi, Architectures and Algorithms for User Customization of CNNs (invited paper). In 23rd Asia and South Pacific Design Automation Conference (ASP-DAC 2018), Jeju Island, Korea, January 2018.
• Mansureh S. Moghaddam, Kiyoung Choi and M. Balakrishnan, Optimal Mapping of Program Overlays onto Many-Core Platforms with Limited Memory Capacity, Design Automation for Embedded Systems (DAEM'17), 2017.
• Reconfigurable Architectures, Handbook of Hardware/Software Codesign. Springer  Science + Business Media Dordrecht, 2018.
• Mansureh S. Moghaddam, Barend Harris, Duseok Kang, Inpyo Bae, Euiseok Kim, Hyemi Min, Hansu Cho, Sukjin Kim, Bernhard Egger, Soonhoi Ha, and Kiyoung Choi, Work-in-Progress: Incremental Training of CNNs for User Customization, In International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (Work in Progress) (CASES'17 WiP), Seoul, Korea, October 2017.
• Bernhard Egger, Hochan Lee, Duseok Kang, Mansureh S. Moghaddam, Youngchul Cho, Yeonbok Lee, Sukjin Kim, Soonhoi Ha, and Kiyoung Choi, A Space- and Energy-Efficient Code Compression/Decompression Technique for Coarse-Grained Reconfigurable Architectures, In Proceedings of the 2017 International Symposium on Code Generation and Optimization (CGO'17), Austin, USA, February 2017.
• Mansureh S. Moghaddam, M. Balakrishnan and Kolin Paul, Optimal Runtime Task Mapping to a Partially Reconfigurable Coarse Grained Array, 9th Inter Research Institute Student Seminar in Computer Science (IRISS'15), Goa, India, 2015.
• Mansureh S. Moghaddam, M. Balakrishnan and Kolin Paul, Partial Reconfiguration for Dynamic Mapping of Task Graphs onto 2D Mesh Platform, 11th Intel. Symposium in Applied Reconfigurable Computing (ARC'15), Bochum, Germany, 2015.
• Mansureh S. Moghaddam, Kolin Paul and M. Balakrishnan, Mapping Tasks to a Dynamically Reconfigurable Coarse Grained Array, 22nd IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM'14), Boston, MA, USA, 2014.
• Mansureh S. Moghaddam, Kolin Paul and M. Balakrishnan, Design and Implementation of high Performance Architectures with Partially Reconfigurable CGRAs, 20th Reconfigurable Architectures Workshop (RAW'2013), Boston, MA, USA, 2013.
• Kolin Paul, Chinmaya Dash and Mansureh S. Moghaddam, reMORPH -- A Runtime Reconfigurable Architecture, 15th Euromicro Conference on Digital System Design (DSD'12), Izmir, Turkey, 2012.
• 2005 - Nicolas Sklavos and Mansureh S. Moghaddam, Rabbit Data Streaming: Architecture & FPGA Implementation, 3rd Iranian Society of Cryptology Conference (ISCC'05), Iran, 2005.
• 2005 - Mansureh S. Moghaddam, Implementation Aspects of Rijndael Encryption Algorithm, International Electrical Conference on Computer Security (IeCCS'05), Greece, 2005.