Meng Xu, Linh Thi Xuan Phan, and Hyon-Young Choi (University of Pennsylvania); Yuhan Lin (Northeastern University); Haoran Li and Chenyang Lu (Washington University in St. Louis); and Insup Lee (University of Pennsylvania) are the recipients of the Best Paper Award at the 25th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), part of the Cyber-Physical Systems Week (CPSWeek), that took place in Montreal, Canada on 15-18 April 2019. Their paper titled “Holistic Resource Allocation for Multicore Real-Time Systems” presents a holistic cache and memory bandwidth resource allocation strategy for multicore real-time systems. Their strategy exploits the relationship between the allocation of cache and memory bandwidth resources and a task's WCET to map tasks onto cores and to compute the resource allocation for each core, to fully utilize resources while ensuring timing guarantees. Extensive evaluations using real-world benchmarks show that their strategy offers near optimal schedulability performance while being highly efficient, and that it substantially outperforms state-of-the-art solutions.
Linh, and her former/current doctoral students (Saeed Abedi, Neeraj Gandhi, Henri Maxime Demoulin, Yang Li, and Yang Wu), also won RTAS Best Student Paper Award. Their paper titled “RTNF: Predictable Latency for Network Function Virtualization” presents a scalable framework for the online resource allocation and scheduling of NFV applications that provides predictable end-to-end latency guarantees. RTNF is based on a novel time-aware abstraction algorithm that transforms complex NFV graphs and their performance requirements into sets of scheduling interfaces; these can then be used by the resource manager and the scheduler on each node to efficiently allocate resources and to schedule NFV requests at runtime. Their evaluation, based on simulations and an experimental prototype, shows that RTNF can schedule DAG-based NFV applications with solid timing guarantees while incurring only a small overhead, and that it substantially outperforms state-of-the-art techniques.
Congratulations to all!
Verisig is a tool for verifying properties of neural networks in autonomous systems. The novelty of Verisig lies in its encoding of a deep neural networks as hybrid systems such that it can be easily composed with hybrid systems models of vehicle dynamics and verified using state-of-the-art solvers (e.g., Flow*). Consequently, Verisig has been used to verify safety properties of learning-enabled closed-loop controllers containing neural networks with 10s of layers and 100s of neurons per layer. Verisig 0.9 represents the first public release of the tool, being actively developed as part of the DARPA Assured Autonomy program.
Cyberjutsu Girls (@CyberjutsuGirls) tweeted at 1:19 PM on Sat, Mar 09, 2019:
Today we're learning how cyber & medicine overlap in a new biomedical workshop: "Music from the Heart!" Our ladies are using @adafruit Huzzah to monitor heart rates & compete in a "rock band challenge" to see who can control them! Thanks to @IoMTprof for instructing! #GirlsInSTEM https://t.co/Rp20gT2adP
The Deans' Distinguished Visiting Professorship is award to Insup Lee, Ph.D. by Perelman School of Medicine at the University of Pennsylvania on 17 Jan 2019. Dr. Lee presented to the audience a talk entitled "Internet of Medical Things (IoMT)" that day.
Micelio is Shreyas Shibulal’s new early-stage fund which will also be building a design discovery studio apart from investing in startups in the electric vehicle space.
Congratulations to Grayson Honan! He is awarded the ESE BEST TEACHING ASSISTANT AWARD for the 2017-2018 Academic Year. Teaching is a task that says a lot about who we are. Throughout his two-year academic career, Grayson has always went out of his way to help those who need it. Thank you, Grayson, for working diligently to ensure the next generation of engineers are posed to make a difference.
Nimit Singhania won the Radhia Cousot Young Researcher Best Paper Award at the 25th Static Analysis Symposium (SAS 2018) that took place in Freiburg im Breisgau, Germany on 29-31 August 2018. In his paper titled "Block-Size Independence for GPU Programs" (joint work with his PhD advisors Rajeev Alur and Joseph Devietti), he proposes a new property called "block-size independence", and an accompanying compiler analysis, which guarantees that adjusting the block-size of a GPU program does not change what it computes; but tuning the block-size can result in significant performance speedups, especially as code is moved to different kinds of GPUs.
Dagaen Golomb, Deepak Gangadharan, Sanjian Chen, Oleg Sokolsky and Insup Lee are the recipients of the Best Paper Award at the 21st IEEE International Symposium on Real-Time Computing (ISORC 2018) that took place in Singapore on 29-31 May 2018. In their paper titled “Data Freshness Over Engineering: Formulation and Results”, they propose a method to determine the periods of tasks in chains of arbitrary length while satisfying end-to-end freshness constraints with only few assumptions regarding the scheduling algorithm used.
Congratulations to Arvind Ramesh, Nitesh Singh, and Grayson Honan on their awards for the significant contributions to teaching, and improving the academic experience of everyone at Penn Engineering. Grayson was presented with his "Honorable Mention" Certificate at today's Penn Engineering Masters Awards Appreciation Lunch. Arvind and Nitesh will receive their "Outstanding TA Award" during the 2018 Awards Recognition Ceremony scheduled for April 27th.
The eCTF Competition took place during the entire Spring Semester and was hosted by the MITRE Corporation. Nine students from Embedded Systems (EMBS) and 2 from CIS participated in this competition which featured 14 other universities. What makes this attack-and-defend competition different from other CTF competitions was that the team actually built a real secure ATM system with chip-and-PIN on an embedded platform. Halfway through the semester, the team traded ATM systems with the other teams and then the fun began. Points were earned for both defending our system and attacking other systems. After the dust settled, Penn's team finished in third place, behind Virginia Tech and Tufts, but ahead of MIT. Penn's students also earned the "Golden Flag" award for executing the highest valued attack, which was executed against the MIT team and resulted in a complete data breach of their database. This was quite an accomplishment given that it was Penn's first year competing. We look forward to next year's competition, where we hope to build on what we learned this year!
Congratulations to the following students:
- Manvendra Sharma (EMBS)
- Sourav Bandyopadhyay (EMBS)
- Mugdha Bavkar (EMBS)
- Michael Cipolla (CIS undergrad)
- Luis Garcia (EMBS)
- Shalmali Joshi (EMBS)
- Philip Perilstein (EMBS)
- Arvind Ramesh (EMBS)
- Justin Swirbul (CIS undergrad)
- James Weimer, Ph.D.
- Hung Nguyen, Ph.D.c.