Walter Scott, Jr. College of Engineering

Graduate Exam Abstract

Saideep Tiku
Ph.D. Qualifying
Oct 19, 2018, 1:00 pm - 3:00 pm
ECE Conference Room (C101B)
N/A - qualifying exam
Abstract: qualifying exam
Adviser: Sudeep Pasricha
Co-Adviser: N/A
Non-ECE Member: Shrideep Pallickara, CS
Member 3: Anthony Maciejewski, ECE
Addional Members: H.J. Siegel, ECE
1. S. Tiku, S. Pasricha, “PortLoc: A Portable Data-driven Indoor Localization Framework for Smartphones”, to appear, IEEE Design and Test, 2018
2. C. Langlois, S. Tiku, S. Pasricha, “Indoor localization with smartphones”, 6(4), IEEE Consumer Electronics, Oct 2017
3. A. Mittal, S. Tiku, S. Pasricha, “Adapting Convolutional Neural Networks for Indoor Localization with Smart Mobile Devices,” ACM Great Lakes Symposium on VLSI (GLSVLSI), May 2018. (Best Paper Award)
4. S. Tiku, S. Pasricha, “Energy-Efficient and Robust Middleware Prototyping for Smart Mobile Computing,” IEEE International Symposium on Rapid System Prototyping (RSP), Oct 2017
5. S. Pasricha, J. Doppa, K. Chakrabarty, S. Tiku, D. Dauwe, S. Jin, P. Pande, “Data Analytics Enables Energy-Efficiency and Robustness: From Mobile to Manycores, Datacenters, and Networks”, ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Oct 2017

Publications to be Reviewed:
Gradient-Based Fingerprinting for Indoor Localization and Tracking

INTRI: Contour-Based Trilateration for Indoor Fingerprint-Based Localization

Program of Study:
CS 545
ECE 569
ECE 554
ECE 561
ECE 567
ECE 661
ECE 666
ENGR 510