AlterByte Corp. (C-Corp) is pioneering a de facto zero-trust cybersecurity approach tailored for cloud-based and edge-processing embedded systems. Led by a professional team with strong academic roots, ABC introduces a groundbreaking technology: AlterWare.
AlterWare is an alternating firmware technology setting a new standard for secure processing by bridging the critical gap between software and hardware.
Research Excellence Award, Center for Computing and Data Sciences at Boston University, Boston, USA, May 2024
Outstanding Paper Award, The 35th Euromicro Conference on Real-Time Systems (ECRTS 2023), July 2023
Best Presentation Award, The 35th Euromicro Conference on Real-Time Systems (ECRTS 2023), July 2023
Best Paper Award, Real-Time and Embedded Technology and Applications Symposium (RTAS), April 2020
Awarded Student Grants, Selected for academic travel support by RTSS’18 & RTSS’22, Dec 2018 & 2022
Graduated from First-ranked National University, Admitted by ranking top 0.1% among 1.1 million participants, 2017
Member of National Organization for Development of Exceptional Talents (NODET), 2005 - 2012
Semifinalist in the 27th, 28th, and 29th National Olympiad in Mathematics, 2009, 2010, 2011
Semifinalist in the 19th and 20th National Olympiad in Informatics (INOI), 2009, 2010
Shahin Roozkhosh, Bassel El Mabsout, Cristiano Rodrigues, Patrick Carpanedo, Denis Hoornaert, Su Min Tan, Benjamin Lubin, Marco Caccamo, Sandro Pinto, Renato Mancuso. Burning Fetch Execution: A Framework for Zero-Trust Multi-Party Confidential Computing. Under Review.
Tarikul Islam Papon, Ju Hyoung Mun, Konstantinos Karatsenidis, Shahin Roozkhosh, Denis Hoornaert, Ahmed Sanaullah, Ulrich Drepper, Renato Mancuso. Effortless Locality on Data Systems Using Relational Fabric. IEEE Transactions on Knowledge and Data Engineering, TKDE, 2024.
Shahin Roozkhosh, Cristiano Rodrigues, Sandro Pinto, Renato Mancuso. Coherent Trojans: Achilles’ Heel of Heterogeneous Computing. arXiv, 2024.
Ju Hyoung Mun, Jinqi Lu, Shahin Roozkhosh, Renato Mancuso, Manos Athanassoulis. Relational Memory Controller. North East Database Conference, NEDB, 2024.
Bassel El Mabsout, Siddharth Mysore, Shahin Roozkhosh, Kate Saenko, Renato Mancuso. The SwaNNFlight System: On-the-Fly Sim-to-Real Adaptation via Anchored Learning. arXiv, 2023.
Weifan Chen, Ivan Izhibirdeev, Denis Hoornaert, Shahin Roozkhosh, Patrick Carpanedo, Sanskriti Sharma, Renato Mancuso. Low-overhead online assessment of timely progress as a system commodity. 35th Euromicro Conference on Real-Time Systems, ECRTS, 2023. (Outstanding Paper Award)
Ju Hyoung Mun, Konstantinos Karatsenidis, Tarikul Islam Papon, Shahin Roozkhosh, Denis Hoornaert, Ulrich Drepper, Ahmed Sanaullah, Renato Mancuso, Manos Athanassoulis. On-the-Fly Data Transformation in Action. Proceedings of the VLDB Endowment, VLDB Endowment, 2023.
Renato Mancuso, Shahin Roozkhosh, Denis Hoornaert, Ju Hyoung Mun, Tarikul Islam Papon, Manos Athanassoulis. Software-Shaped Platforms. Real-time And intelliGent Edge computing workshop, RAGE, 2023.
Tarikul Islam Papon, Ju Hyoung Mun, Shahin Roozkhosh, Denis Hoornaert, Ahmed Sanaullah, Ulrich Drepper, Renato Mancuso, Manos Athanassoulis. Relational Fabric: Transparent Data Transformation. 39th IEEE International Conference on Data Engineering, ICDE, 2023.
Shahin Roozkhosh, Denis Hoornaert, Ju Hyoung Mun, Tarikul Islam Papon, Ahmed Sanaullah, Ulrich Drepper, Renato Mancuso, Manos Athanassoulis. Relational Memory: Native In-Memory Accesses on Rows and Columns. 26th International Conference on Extending Database Technology, EDBT, 2023.
Shahin Roozkhosh, Denis Hoornaert, Renato Mancuso. CAESAR: Coherence-Aided Elective and Seamless Alternative Routing via on-chip FPGA. In 43rd IEEE Real-Time Systems Symposium. (RTSS), IEEE, 2022.
Mattia Nicolella, Denis Hoornaert, Shahin Roozkhosh, Andrea Bastoni, Renato Mancuso. Know your Enemy: Benchmarking and Experimenting with Insight as a Goal. In 43rd IEEE Real-Time Systems Symposium (RTSS@work), IEEE, 2022.
Shahin Roozkhosh, Denis Hoornaert, and Renato Mancuso. Hardware Data Re-organization Engine for Real-Time Systems. In 43rd IEEE Real-Time Systems Symposium (RTSS@work), IEEE, 2022.
Mattia Nicolella, Shahin Roozkhosh, Denis Hoornaert, Andrea Bastoni, Renato Mancuso. RT-Bench: an Extensible Benchmark Framework for the Analysis and Management of Real-Time Applications. The 30th International Conference on Real-Time Networks and Systems (RTNS), 2022.
{Shahin Roozkhosh, Denis Hoornaert}, Renato Mancuso. A Memory Scheduling Infrastructure for Multi-core Systems with Re-programmable Logic. In 33rd Euromicro Conference on Real-Time Systems (ECRTS), IEEE, 2021
Denis Hoornaert, Shahin Roozkhosh, Renato Mancuso and Marco Caccamo. Identifying Unexpected Inter-coreInterference Induced by Shared Cache. In 27th IEEE Real-Time and Embedded Technology and Applications Symposium (WiP session) (RTAS), IEEE, 2021.
Dharmesh Tarapore, Shahin Roozkhosh, Steven Brzozowski, Renato Mancuso. Observing the Invisible: Live Cache Inspection for High-Performance Embedded Systems. In IEEE Transactions on Computers (IEEE TC), IEEE, 2021.
(Best Paper Award) Shahin Roozkhosh, Renato Mancuso. The potential of programmable logic in the middle: cache bleaching. In 26th Real-Time and Embedded Technology and Applications Symposium (RTASS), , pp. 296-309. IEEE, 2020.
Sadrosadati, Mohammad, Ramin Bashizade, Shahin Roozkhosh, Ali Shafiee, and Hamid Sarbazi-Azad. "A Method to Improve Adaptivity of Odd-Even Routing Algorithm in Mesh NoCs." In Parallel, Distributed, and Network-Based Processing (PDP), 2016 24th Euromicro International Conference on, pp. 755-758. IEEE, 2016.
Sadrosadati, Mohammad, Amirhossein Mirhosseini, Shahin Roozkhosh, Hazhir Bakhishi, and Hamid Sarbazi-Azad. "Effective Cache Bank Placement for GPUs" In 2017 Design, Automation Test in Europe Conference Exhibition (DATE), pp. 31-36. IEEE, 2017.
Hoornaert, Denis, Shahin Roozkhosh, Renato Mancuso, and Marco Caccamo. "On-the-fly Programmable Tensor Memory Engine for Ideal Locality" (Pre-print).
Mun, Ju Hyoung, Jinqi Lu, Shahin Roozkhosh, Renato Mancuso, and Manos Athanassoulis. "A Controller Architecture to Maximize the Parallelism within Physical Memory Chips" (Pre-print, TBD 2024).
Red Hat Research
(RedHat) Sep. 2019 - 2023
Affiliated Researcher, Supervisor:
Ulrich Drepper,
Red Hat Research
Research focused on Design and Development of an AI Accelerator
Funded by Red Hat Research Incubation Award. Designed and implemented a
Re-configurable Hardware Accelerator.
A novel memory abstraction enabling workload-specific memory access paradigms.
Published open-source
Design and Development of a Relational Memory Controller
Funded by Red Hat Research Incubation Award. Developing a
Relational Memory Controller that performs on-the-fly data transformations, pushing only relevant data tightly packed through the memory hierarchy towards the CPU, thus enhancing locality and efficiency.
(slides)
Affiliated with Massive Data, Algorithms, and Systems Group (MiDAS) at Boston University
Advisor: Prof. Manos Athanassoulis
The Institute for Research in Fundamental Sciences
(IPM) Jun. 2013 - Jan. 2018
Research Assistant, Supervisor: Prof. Hamid Sarbazi-Azad,
School of Computer Science
Advisor: Dr. Arash Tavakkol and
Mohammad Sadrosadati
Studies and research focused on SSDs
Proposed a Performance Evaluation of Dynamic Page Allocation Strategies in SSDs.
Published in ACM Transactions on Modeling and Performance Evaluation of Computing Systems
(TOMPECS)
Technical assistant in implementation of XMulator
Xmulator is an object-oriented event-based simulator for interconnection and wireless networks. Contributed to Network-on-Chip (NoCS) simulation. Xmulator uses Orion power library for energy estimation.
Extension and improvement in DiskSim
DiskSim is an efficient, accurate disk system simulator with modules for various storage components, including device drivers, buses, controllers, adapters, and disk drives.
High-Performance Computing Architectures and Networks Jun. 2013 - Jan. 2018
HPCAN Laboratory
Research Assistant, Supervisor: Prof. Hamid Sarbazi-Azad,
Department of Computer Engineering, Sharif University of Technology.
Studies and research focused on GPUs
Researched the effect of LLC bank placement in GPU on-chip networks on memory-intensive workload performance, proposing a placement methodology for optimizing performance.
Extension and improvement in GPGPU-Sim
GPGPU-Sim models contemporary GPUs running CUDA/OpenCL workloads and includes an integrated energy model, GPUWattch.
Implementation of a Genetic algorithm-based intermediate software
Linked software to GPGPU-Sim to process simulation data, helping to identify a new throughput-aware metric for LLC bank placement in GPU on-chip networks.
Studies and research on NoCs with a focus on Routing Algorithms
Developed Preemptive Waiting for Odd-Even routing (PWOE), postponing NoC saturation under synthetic traffic loads, using the BookSim simulation environment.
Full-time engineer to Shell International Exploration and Production Company (SIEP), of which Shell TechWorks is a part. Responsibilities include but are not limited to developing or directing embedded system testing or validation procedures and embedded programming.
Presented at Boston University - PhD Proposal, slides May. 2024
Presented at North East Database Day (NEDB), poster May. 2024
Presented at BU Computer Systems Seminar (BUCS), abstract April. 2024
Presented at 43rd IEEE Real-Time Systems Symposium (RTSS), slides Dec. 2022
Presented at 43rd IEEE Real-Time Systems Symposium (RTSS@work), slides , poster Dec. 2022
Presented at Boston University - Depth slides Nov. 2022
Presented at a virtual workshop for
BOSCH research engineers.
Aug. 2020
Title: A Deep Dive Into Hypervisor on
Xilinx's Zynq UltraScale+ MPSoC
Presented at open source community conference DevConf.US 2022
Presented at Greater New England Research Interest Group Meeting
(Red Hat RIG)
June. 2021
Title:
Near-Memory Data Reorganization Engine for Data Table Access
Presented at 27th IEEE Real-Time and Embedded Technology and Applications Symposium
(RTAS)
April. 2020
Title: The Potential of Programmable Logic in the Middle: Cache Bleaching
Presented at BU
Cloud Workshop with
IBM Research and
Red Hat.
Feb. 2020
Title: Shared Resource Management with Programmable Logic-in-the-Middle
With a concentration in Portrait and Documentary Photography.
Photography is also my
avocation.
I love the feeling of sharing my experiences with others through my blog.