December 2022
12/7 IER Seminar Series: Steve Dorton – “Trust Dynamics with AI in High-Consequence Work Systems”
Trust Dynamics with AI in High-Consequence Work Systems Wednesday, 12/7/2022 from 1 - 2 pm ISEC 532 & Zoom Zoom: https://northeastern.zoom.us/j/96750528112?pwd=Z3M0b1Z0QTZFaWM3QzZ5bC92SjFUZz09 Steve Dorton Principal Scientist for Sensemaking, Decision Making, and AI The MITRE Corporation Abstract: Artificial Intelligence (AI) is often viewed as the means by which intelligence analysts will cope with the ever-increasing deluge of data from various sources. The best AI is moot, however, if analysts cannot trust the outputs of the AI to inform high-consequence decision making. A naturalistic…
Find Out MoreApril 2023
IER Open House
Following our success with last year's Open House, we are again opening the lab up to visitors! This year, demos will be held on the 5th floor of ISEC by Yingzi Lin, Ilya Vidrin, Alireza Ramezani, Taskin Padir, Kris Dorsey, Rob Platt, and Hanu Singh. In Richards Hall, Dagmar Sternad, CJ Hasson, and Max Shepherd will be hosting demos as well. The flyer for this event is attached. Please reach out to Noah (n.smith@northeastern.edu) with any questions! Make sure to register here:…
Find Out MoreChenghao Wang’s MS Thesis Defense
"Legged Walking on Inclined Surfaces" Committee Members: Prof. Alireza Ramezani(Advisor) Prof. Miriam Leeser Prof. Bahram Shafai Abstract: The main contributions of this MS Thesis are centered around taking steps towards successful multi-modal demonstrations using Northeastern's legged-aerial robot, Husky Carbon. This work discusses the challenges involved in achieving multi-modal locomotion such as trotting-hovering and thruster-assisted incline walking and reports progress made towards overcoming these challenges. Animals like birds use a combination of legged and aerial mobility, as seen in Chukars’s wing-assisted…
Find Out MoreJuly 2023
Batool Salehihikouei Phd Proposal Review
Title: Leveraging Deep Learning on Multimodal Sensor Data for Wireless Communication: From mmWave Beamforming to Digital Twins Committee Members: Prof. Kaushik Chowdhury (Advisor) Prof. Hanumant Singh Prof. Josep Jornet Dr. Mark Eisen Abstract: With the widespread Internet of Things (IoT) devices, a wide variety of sensors are now present in different environments. For example, self-driving vehicles and automated warehouses depend on sensor information for navigation and management of the robots, respectively. In this dissertation, we present a paradigm, where these…
Find Out MoreAugust 2023
Nasim Soltani PhD Proposal
Title: Deep Learning for the Physical Layer: From Signal Classification to Decoding Location: ISEC 532 Committee Members: Prof. Kaushik Chowdhury (Advisor) Prof. Stratis Ioannidis Prof. Robert Nowak Abstract: The growth in wireless spectrum usage has created new physical layer applications and intensified the importance of the existing ones. Physical layer applications ranging from device authentication to signal decoding and interpretation are traditionally handled by deterministic signal processing algorithms. Such algorithms, while effective, often require long sequences of data for decision…
Find Out MoreXu Yizhe MS Thesis Defense
Title: Integration of Polyimide Flexible PCB Wings in Northeastern's Aerobat Location: Room: ISEC 532, Teams link Committee Members: Prof. Alireza Ramezani(Advisor) Prof. Rifat Sipahi Abstract: The principal aim of this Master's thesis is to propel the optimization of the membrane wing structure of the Northeastern Aerobat through origami techniques and enhancing its capacity for secure hovering within confined spaces. Bio-inspired drones offer distinctive capabilities that pave the way for innovative applications, encompassing wildlife monitoring, precision agriculture, search and rescue operations,…
Find Out MoreSeptember 2023
Mostafa Abedi PhD Proposal Review
Title: Power-Efficient and Security-Enhancing Techniques for Ultra-low Power IoT Devices Committee Members: Prof. Aatmesh Shrivastava (Advisor) Prof. Marvin Onabajo Prof. Nian X. Sun Abstract: Internet-of-things (IoT) devices often rely on ambient energy sources such as photovoltaic (PV) cells and thermoelectric generators (TEGs) for their operation. Minimizing power loss through ambient energy harvesting optimization can significantly extend the battery life or support battery-free sensor nodes in IoT devices. A maximum power point tracking (MPPT) circuit is often used for impedance matching…
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