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DTSTART;TZID=America/New_York:20210422T090000
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DTSTAMP:20260516T084445
CREATED:20210420T215252Z
LAST-MODIFIED:20210420T215252Z
UID:4860-1619082000-1619085600@ece.northeastern.edu
SUMMARY:ECE MS Thesis Defense: Peter Kelly
DESCRIPTION:MS Thesis Defense: Design of a Thruster-assisted Bipedal Robot \nPeter Kelly \nLocation: Zoom Link \nAbstract: During the past few years\, legged robot technology has been rapidly advancing.\nHowever\, even the most advanced bipedal legged robots are susceptible to strong disturbances and slippery or impassible terrain. By introducing thrusters to enable hybrid legged-aerial locomotion\, these problems can be circumvented by increasing a robot’s stability and allowing it to jump over obstacles. Harpy is a bipedal robot with eight actuators and two thrusters that serves as a hardware platform for developing control algorithms to advance research in thruster assisted bipedal legged locomotion. This thesis explores the conception\, simulation\, and electromechanical design process of the robot\, which prioritizes thrust-to-weight ratio\, impact resistance\, power density\, and modularity. The fabrication process of actuators and the leg which enable the robot to be both light and strong and testing of the leg design and thrusters is also discussed.
URL:https://ece.northeastern.edu/event/ece-ms-thesis-defense-peter-kelly/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210422T100000
DTEND;TZID=America/New_York:20210422T110000
DTSTAMP:20260516T084445
CREATED:20210414T213301Z
LAST-MODIFIED:20210414T213301Z
UID:4843-1619085600-1619089200@ece.northeastern.edu
SUMMARY:ECE MS Thesis Defense: Tianhong Xu
DESCRIPTION:MS Thesis Defense: A novel simple power analysis (SPA) attack on Elliptic Curve Cryptography (ECC) \nTianhong Xu \nLocation: Zoom Link \nAbstract: Elliptic Curve Cryptography (ECC)\, as a widely used public-key cryptography\, is vulnerable to simple power analysis(SPA) attacks. There are many countermeasures against simple power analysis(SPA) attacks on ECC implementation\, the Always-add algorithm is one of the most popular countermeasures. This research proposes a new SPA attack which is effective to the ECC encrypting implemented with Always-add algorithm\, it uses deep-learning tools and statistical method to retrieve a secret key from only one EM trace collected from a ASIC circuit running ECC encryption.
URL:https://ece.northeastern.edu/event/ece-ms-thesis-defense-tianhong-xu/
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DTSTART;TZID=America/New_York:20210422T100000
DTEND;TZID=America/New_York:20210422T110000
DTSTAMP:20260516T084445
CREATED:20210420T180653Z
LAST-MODIFIED:20210420T180709Z
UID:4855-1619085600-1619089200@ece.northeastern.edu
SUMMARY:ECE PhD Dissertation Defense: Seyedmehdi Sadeghzadeh
DESCRIPTION:PhD Dissertation Defense: Physical Layer Security in Multi-User Wireless Networks: Impact of Interference and Artificial Noise on Large-Scale Analysis \nSeyedmehdi Sadeghzadeh \nLocation: Zoom Link \nAbstract: In this thesis\, we study the physical layer security in downlink multi-user wireless networks. Traditionally\, security has been addressed by cryptography at the higher layers of the communication stack. Security at the physical layer has been a major research topic in recent years. We study two different precoder designs alongside artificial noise (AN) to mitigate multi-user interference and deteriorate reception at the eavesdropper (Eve). We study the large scale analysis to calculate the secrecy sum-rate for these two cases and analyze the effect of AN on the system. First\, we consider the worst case scenario\, when eavesdropper’s (Eve’s) rate is not deteriorated by the interference caused by the legitimate users. Later\, we investigate how interference from legitimate users would affect the large scale security sum rate. At the end\, we assume more practical situation where the channel state information at the transmitter is not perfect due to feedback limitation and estimation error.
URL:https://ece.northeastern.edu/event/ece-phd-dissertation-defense-seyedmehdi-sadeghzadeh/
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DTSTART;TZID=America/New_York:20210422T103000
DTEND;TZID=America/New_York:20210422T113000
DTSTAMP:20260516T084445
CREATED:20210405T174659Z
LAST-MODIFIED:20210405T174659Z
UID:4823-1619087400-1619091000@ece.northeastern.edu
SUMMARY:ECE PhD Dissertation Defense: Linbin Chen
DESCRIPTION:PhD Dissertation Defense: Low Power Designs using Approximate Computing and Emerging Memories at Nanoscales \nLinbin Chen \nLocation: Zoom Link \nAbstract: A power efficient integrated circuit design is essential for mobile and embedded computer systems. This dissertation proposes several novel low power designs using approximate computing and emerging memories for computers with arithmetic circuits and large on-chip caches. Initially\, low power approximate designs are proposed both for fixed point radix-2 and high-radix division at circuit-level. Then\, an approximate parallel CORDIC algorithm and its hardware implementation are developed. Trade-offs between circuit metrics and error characteristics are pursued by simulation and analysis. The proposed approximate arithmetic designs have excellent performance for image processing applications while significantly reducing power consumption. Then\, hybrid cache designs integrating SRAM with emerging memories are also investigated. An intra-cell\, as well as inter-subarray and inter-bank hybrid caches with SRAM\, eDRAM and NVM (such as PCM or STT-MRAM) are proposed. Architectural level approaches such as special migration structures and policies are designed to address the eDRAM refresh requirements and the NVM large write latency issue. An analytical circuit-level model based on NVsim focusing on hybrid granularity and an architecture level model based on gem5 focusing on a migration policy are developed. To explore the hybrid cache’s benefits to main memory\, a combined-cache design for addressing endurance issues of multi-level non-volatile memory in embedded system is proposed. It is shown that these hybrid cache designs exhibit smaller area and lower leakage than conventional designs so with great potential to be used for large-capacity on-chip caches in mobile and embedded systems.
URL:https://ece.northeastern.edu/event/ece-phd-dissertation-defense-linbin-chen/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210422T123000
DTEND;TZID=America/New_York:20210422T133000
DTSTAMP:20260516T084445
CREATED:20210414T213642Z
LAST-MODIFIED:20210414T213642Z
UID:4845-1619094600-1619098200@ece.northeastern.edu
SUMMARY:MS Thesis Defense: Duschia Bodet
DESCRIPTION:MS Thesis Defense: Modulations to Exploit the THz Band \nDuschia Bodet \nLocation: Zoom Link \nAbstract: Terahertz (THz)-band (0.1-10 THz) communication has been envisioned as a key technology to enable wireless Terabit-per-second (Tbps) links. At THz frequencies\, the path-loss is governed by the spreading loss and the molecular absorption loss. The latter also determines the available transmission bandwidth\, which drastically shrinks with distance. As a result\, traditional modulation schemes cannot fully take advantage the THz channel\, and new modulation schemes are needed if THz channel communications are going to reach their full potential. Several solutions have been presented including Hierarchical Bandwidth Modulations (HBM)\, which is the only presented work that not only compensates for molecular absorption losses but leverages those losses to improve the capabilities of the system. The focus of this thesis is two-fold. First the design of HBM is formalized\, exploring the trade-offs and its achievable performance as a function of different system parameters. Secondly\, these trade-offs and performance metrics are verified using a one-of-a-kind experimental testbed for ultrabroadband communication networks. The results show that with proper design HBM successfully achieves its goal of exploiting the distance-dependent characteristics of the THz channel.
URL:https://ece.northeastern.edu/event/ms-thesis-defense-duschia-bodet/
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