Marcin Szczodrak

467 Computer Science Building
1214 Amsterdam Avenue, Mail Code: 0401
Columbia University
New York, NY 10027-7003

Biography

Marcin is a Ph.D. student in the Computer Science department of the Columbia University and his advisor is Professor Luca Carloni. Marcin's main research interests are low-power and energy-aware embedded systems, wireless sensors and actuator networks, mobile and wireless computing and networking. Before joining Columbia, he graduated from John Jay College of Criminal Justice of the City University of New York with B.S. in Computer Operating Systems in 2007. Since Fall 2007 till Summer 2009, he was studying as a Ph.D.student in the department of Computer Science in the Graduate Center of the City University of New York and working with Professor Ping Ji. In 2010 he received M.S. in Computer Science from the City College of the City University of New York. In free time he runs, rides bicycle, and watches games of his favorite team Legia Warszawa.

Current Activities

Past Activities

Education

Projects

Fennec Fox
 		Fennec Fox is a platform for low-power wireless embedded devices requiring dynamic network reconfiguration and communication service adaption. Fennec Fox is a platform providing network reconfiguration mechanism. The platform consists of a four-layer network protocol stack, where at runtime various library module may support each layer service. Fennec Fox also provides mechanisms ensuring that all nodes within a network are configured in the same way. More @ Project Website
Swift Fox is a programming language for runtime dynamic network reconfiguration of low-power wireless network running on Fennec Fox platform. Swift Fox compiler is written in C using Flex and Bison libraries. Flex is a tool for generating lexical analyzers and it is an open version of lex. Bison is a parser generator and it is a GNU version of yacc. The generated output of the Swift Fox program is nesC code. More @ Project Website
Swift Fox
Cape Fox
 		Cape Fox is a simulator supporting Fennec Fox platform and Swift Fox programming language. The simulator allows to simulate the same nesC and Swift Fox code that is actually running on hardware motes. The three top layers of the Fennec Fox network stack: Application, Network, and MAC, are executed exactly as they would run on a real hardware. The lowest radio layer is simulated, together with wireless data communication for IEEE 802.15.4 radios. More radio models are currently in implementation. Cape Fox is based on TOSSIM simulator and its TOSSIM Live extension, through which it support serial port communication, and by the same real-time data exchange with the outside (non-simulated) world. Cape Fox differs from TOSSIM by removing simulation of CSMA and MAC protocols and improving (adding new parameters) simulation of radio hardware and radio channel. Cape Fox is also message_t free. More @ Project Website
GOALI Project is NSF sponsored project researching methods for network-enabled embedded monitoring and control for high-performance buildings. Because building occupancy has high-impact on building's energy consumption (HVAC, Light, etc) we focus on development of centralized and distributed occupancy estimation algorithms and deployment of those algorithms in buildings with supported cyber infrastructure, such as wireless networks of sensors and actuators supported with cloud computing.
GOALI Project
LPWN Benchmarking
 		As part of this project we design a set of wireless sensor and actuator applications to benchmark the performance of lpwn hardware architectures.
LPWN-IP brings TCP/IP to Fennec Fox platform. Currently researchers debate how to implement communication for LPWN. On one side there are various approaches proposing new communication protocols, such as CTP or Flush. On the other side, there are attempts of using standard TCP/IP approach with IPv6 addressing. In this project we design a network operating in two modes: standard IP and non-standard using ad-hoc protocols.
LPWN-IP
EnHANTs
 		Energy-Harvesting Active Networked Tags (EnHANTs) are small, flexible, and energetically self-reliant devices that can be attached to objects that are traditionally not networked (e.g., books, furniture, walls, doors, toys, keys, clothing, and produce), thereby providing the infrastructure for various novel tracking applications. Examples of these applications include locating misplaced items, continuous monitoring of objects (items in a store, boxes in transit), and determining locations of disaster survivors.

Publications

Copyright Marcin Szczodrak 2005-2012