Enormous research and commercial activities on utilization of bio-based materials to replace petroleum-based chemicals are currently taking place around world, aiming at the reduction of pollution and global warming. Among them, L-Cysteine which contains a thiol (-SH), amino (-NH2) group and carboxylic acid (-COOH) group. It is considered to be a unique building block for […]

The Brazilian mining industry is a major economic engine in Brazil and a dominant player in the extraction industry worldwide. A new Mining Code to regulate mining activity was introduced in the National Congress in 2013 and is set to be voted into legislation by the end of September, 2015. The deliberations that have been […]

The goal of this research project is to explore the effectiveness of outreach programs in terms of their potential to affect science, technology, engineering, and mathematics (STEM) interest and achievement in middle school and beyond through STEM engagement. Through inquiry-based half-day workshops, guided by the knowledge of scientists and engineers, this multi-partnership STEM project will […]

This project is based on how the communities which rely on the forests of different regions within the state of Odisha, India, cope with and adapt to environmental and social challenges in relation to their daily lives and livelihoods. Using local ecological, social, and cultural knowledge, I will analyze environmental, social and policy challenges, and […]

Increasing the productivity of agricultural fields is essential to secure our existing food supplies and provide for the growing world population. In this context, pesticides and fertilizers play an essential role in both increasing crop yields, as well as enhancing crop defenses against environmental stresses such as drought, pests, or diseases. However, the application of […]

From women-only taxi companies in New Delhi, India to smokeless stoves in Uganda, innovation can transform the lives of women and girls around the globe. It is well known that social innovation and gender equality are each critical to social progress, but little is known about how social innovation can advance gender equality. In partnership […]

The aim of the project is to increase the intelligence of an automated, online tutoring system, using state-of-the-art techniques and concepts from cognitive science and computer science. This will be accomplished by integrating more data about each learner, and by implementing a more advanced model able to predict learner behaviour. The improved system will better […]

The intern will undertake research and development activities related to a novel functional electrical stimulation (FES) device called the MyndMove stimulator. Activities are intended to improve the electrical output of the MyndMove to deliver controlled and painless electrical stimulation to patients for a variety of applications, such as mobility, pain management and treatment of pressure […]

My project intends to depict the textual evolution of the Youposai jie jing ????? (S?tra on Up?saka Precepts). This text was written as a household cultivation guidebook for Buddhist laymen, and was translated into Chinese by Dharmak?ema (Tanmochen ???in Chinese, 385–433 CE) in 426 CE during the Northern Liang Dynasty ??(397–439 CE). By studying the […]

Due to anthropogenic alterations such as forest harvesting, fragmentation and forest degradation has occurred enabling the invasion of native bamboo species which are contributing to habitat degradation and reduction of tree species in the remaining forested areas of Brazil. Currently, the primary method of monitoring forests dominated by bamboos is based on field observations. However, […]

The world’s rapidly changing climate is influencing how insects can transmit dangerous infectious diseases – from malaria to dengue fever and other previously unknown diseases – to humans. The rapid growth of new data sources from satellites to ground based sensors offer unprecedented opportunities to link these data with knowledge of the biology of insects […]

The objective is to develop a real-time fraud detection algorithm for a large E-commerce company based on construction of a robust reference model from normal multivariate data. To accomplish this, we propose to leverage machine learning techniques, such as reinforcement learning, in combination with stochastic modeling techniques such as Hidden Markov Models, to provide both […]