532 ISEC

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:…

"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…

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…

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…

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,…