Professor Adrienne Stiff-Roberts, Department of Electrical and Computer Engineering, Duke University

Professor Yaroslava Yingling, Department of Material Science and Engineering, North Carolina State University

Submitted by: Vishal Jindal

Resonant-infrared matrix-assisted pulsed laser evaporation (RIR-MAPLE) is a promising deposition technology for the fabrication of conjugated polymer-based optoelectronic devices for two primary reasons: (i) the ability to control film morphology, and (ii) the ability to deposit multi-layered hetero structures.

Professor Shaloo Rakheja, Department of Electrical and Computer Engineering, New York University

Submitted by: Vaibhav Sarvesh Pandey

Designing Neuromorphic circuits using memristors: Nanoscale Memristor Device as Synapse in Neuromorphic Systems Neuromorphic Computation describes the use of very-large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures present in the nervous system. When the weighted sum of inputs to a neuron is more than a particular threshold it outputs a voltage pulse called an action potential.

Professor Martin Brooke, Department of Electrical and Computer Engineering, Duke University

Submitted by: Saptarshi Gan

Tracking multiple persons in video is an important problem and highly useful in many domains. For Governments and Performers there is a desire to trace the path an individual has taken through groups and society. Government motivations cover a spectrum from the beneficial, through benign, and belligerent.

Professor Shaloo Rakheja, Department of Electrical and Computer Engineering, New York University-Tandon School of Engineering

Submitted by: Pranav Kumar

A 10 GHz Class-A Power Amplifier Design with Physics-Based RF Compact Model

Professor Vincent Ng, Human Language Technology Research Institute, University of Texas at Dallas

Submitted by: Nirbhay Modhe and Parag Bansal

Performance Formulation for Cooperative Threshold Strategy in Computational Sprinting: Modern data centres have a large number of servers organised into racks. The servers within the same rack share a power supply. The demand for power varies across time depending on the phase of the applications the servers are running.

Professor Brendan Dolan-Gavitt, Computer Science and Engineering, NYU Tandon School of Eng.

Submitted by: Ayush Agarwal

A simple generalised defense mechanism to counter all such cache-side channel attacks

Professor Siddharth Garg, Assistant Professor, Electrical and Computer Engineering, NYU - Tandon School of Engineering

Submitted By: Anubhav Kumar

Project on Hardware security, SAT solvers and formal methods. Main area of research was logic locking. Logic locking is a hardware security technique to prevent reverse engineering of digital ICs and IC piracy. The idea is to modify the IC design flow, so a chipmaker that gets hold of a mask work, legally or otherwise, would need to communicate with the owner of the mask work,before the chipmaker can inject correctly functioning chips into a market for consumption by users.

Professor Benjamin C. Lee, Department of Electrical and Computer Engineering, Duke University

Submitted by: Abhimanyu Yadav

Performance Formulation for Cooperative Threshold Strategy in Computational Sprinting: Modern data centres have a large number of servers organised into racks. The servers within the same rack share a power supply. The demand for power varies across time depending on the phase of the applications the servers are running.

Dr. Ross Knepper, Department of Computer Science, Cornell University

Submitted by: Aashi Manglik

In human-robot interaction, instructions are generally communicated to robot in natural language which may have multiple parses or interpretations possible. Humans, through their cognitive skills, are able to disambiguate the request based on context. This work uses contextual semantic parsing to ground natural language entities to objects present in the environment.

Professor Rumi Chunara, Department of Computer Science and Engineering, New York University

Submitted By: Aadil Hayat

The dramatic progress in sequencing technologies offers unprecedented prospects for deciphering the organization of natural populations in space and time. However, the size of the datasets generated also poses some daunting challenges. In particular, Bayesian clustering algorithms based on pre-defined population genetics models such as the STRUCTURE, BAPS or ADEGENT software may not be able to cope with this unprecedented amount of data with good accuracy and within practical time.