Team "Secret" comprising of Jayita Das and Kevin Scott is the first-place winner of NYU organized Cybersecurity event "The Embedded Security Challenge"

The Embedded Security Challenge deals with the security and trustworthiness of hardware. This year, students were challenged to focus on emerging technologies and materials and to prove to us why they are valuable and secure. Representatives of 10 student teams were invited to the finals, where they presented their research to judges. All three winners were from Florida:

1^st place: SECurity Researchers in Emerging Technology (SECRET), University of South Florida—Jayita Das and Kevin P. Scott

USF teams receive grants to develop socially beneficial products

Sanjukta Bhanja's I-Corps Project was featured in http://www.83degreesmedia.com

Read more--

http://www.83degreesmedia.com/innovationnews/NSF120214.aspx

Jayita Das Receives Grace Hopper Celebration in Computing Travel Award

http://www.eng.usf.edu/about/news/07-16-14%20Jayita%20Das%20Receives%20Grace%20Hopper%20Award.pdf

Javier Pulecio’s Research Featured on the Cover of Applied Physics Letters

http://www.eng.usf.edu/pdf/09-30-14%20Javier%20Pulecio.pdf
\A recently published paper, Symmetry breaking of magnetic vortices before annihilation, by Javier Pulecio, et. al., PhD ’10, appeared on the cover of the September 29, 2014 issue of Applied Physics Letters, Volume 105, Issue 13. 

Field-Coupled Nanocomputing: Paradigms, Progress, and Perspectives

Field-Coupled Nanocomputing: Paradigms, Progress, and Perspectives (Lecture Notes in Computer Science / Theoretical Computer Science and General Issues) Paperback – June 30, 2014

by Neal G. Anderson (Editor), Sanjukta Bhanja (Editor)

Series: Lecture Notes in Computer Science / Theoretical Computer Science and General Issues (Book 8280)

Paperback: 393 pages

Publisher: Springer; 2014 edition (June 30, 2014)

Language: English

ISBN-10: 366243721X

ISBN-13: 978-3662437216

 

Field-coupled nanocomputing (FCN) paradigms offer fundamentally new approaches to digital information processing that do not utilize transistors or require charge transport. Information transfer and computation are achieved in FCN via local field interactions between nanoscale building blocks that are organized in patterned arrays. Several FCN paradigms are currently under active investigation, including quantum-dot cellular automata (QCA), molecular quantum cellular automata (MQCA), nanomagnetic logic (NML), and atomic quantum cellular automata (AQCA). Each of these paradigms has a number of unique features that make it attractive as a candidate for post-CMOS nanocomputing, and each faces critical challenges to realization.This State-of-the-Art-Survey provides a snapshot of the current developments and novel research directions in the area of FCN. The book is divided into five sections. The first part, Field-Coupled Nanocomputing Paradigms, provides valuable background information and perspectives on the QDCA, MQCA, NML, and AQCA paradigms and their evolution. The second section, Circuits and Architectures, addresses a wide variety of current research on FCN clocking strategies, logic synthesis, circuit design and test, logic-in-memory, hardware security, and architecture. The third section, Modeling and Simulation, considers the theoretical modeling and computer simulation of large FCN circuits, as well as the use of simulations for gleaning physical insight into elementary FCN building blocks. The fourth section, Irreversibility and Dissipation, considers the dissipative consequences of irreversible information loss in FCN circuits, their quantification, and their connection to circuit structure. The fifth section, The Road Ahead: Opportunities and Challenges, includes an edited transcript of the panel discussion that concluded the 2013 Workshop on Field-Coupled Nanocomputing.

MRAM PUF: A Novel Geometry Based Magnetic PUF With Integrated CMOS

"MRAM PUF: A Novel Geometry Based Magnetic PUF With Integrated CMOS", Jayita Das, Kevin Scott, Srinath Rajaram, Drew Burgett, Sanjukta Bhanja, Accepted in IEEE Transactions on Nanotechnology, 2015.

Abstract—This manuscript addresses a novel MRAM-based Physically Unclonable Function (PUF). The PUF responses are generated using the unique energy-tilt, which is an outcome of the random geometric variations in the MRAM cells. We have verified relevant attributes of this PUF through extensive magnetic simulations and in-house fabrication results. Our fabricated PUF cells generate entropy as high as 0.99, which is comparable to most of its competitors. To our knowledge, the footprint of the PUF cells is also lower than the majority of silicon PUFs. Also, the authentication control algorithm for this PUF requires very low additional control-steps. We conclude our discussion of this novel PUF with a study of authentication overhead and protocols required by the PUF system in terms of area, power and delay.

RECENT TRENDS IN SPINTRONICS-BASED NANOMAGNETIC LOGIC

JAYITA DAS, SYED M. ALAM, and SANJUKTA BHANJA, SPIN 04, 1450004 (2014) [23 pages] DOI: 10.1142/S2010324714500040      

Abstract: With the growing concerns of standby power in sub-100-nm CMOS technologies, alternative computing techniques and memory technologies are explored. Spin transfer torque magnetoresistive RAM (STT-MRAM) is one such nonvolatile memory relying on magnetic tunnel junctions (MTJs) to store information. It uses spin transfer torque to write information and magnetoresistance to read information. In 2012, Everspin Technologies, Inc. commercialized the first 64Mbit Spin Torque MRAM. On the computing end, nanomagnetic logic (NML) is a promising technique with zero leakage and high data retention. In 2000, Cowburn and Welland first demonstrated its potential in logic and information propagation through magnetostatic interaction in a chain of single domain circular nanomagnetic dots of Supermalloy (Ni₈₀Fe₁₄Mo₅X₁, X is other metals). In 2006, Imre et al. demonstrated wires and majority gates followed by coplanar cross wire systems demonstration in 2010 by Pulecio et al. Since 2004 researchers have also investigated the potential of MTJs in logic. More recently with dipolar coupling between MTJs demonstrated in 2012, logic-in-memory architecture with STT-MRAM have been investigated. The architecture borrows the computing concept from NML and read and write style from MRAM. The architecture can switch its operation between logic and memory modes with clock as classifier. Further through logic partitioning between MTJ and CMOS plane, a significant performance boost has been observed in basic computing blocks within the architecture. In this work, we have explored the developments in NML, in MTJs and more recent developments in hybrid MTJ/CMOS logic-in-memory architecture and its unique logic partitioning capability.

Read More: http://www.worldscientific.com/doi/abs/10.1142/S2010324714500040