ARISE 2017 Colloquium Venue 2: RH 203

Joya Debi

  • Lab: Applied Micro-Bioengineering Lab
  • Faculty: Weiqiang Chen
  • Mentor: Renee-Tyler, Tan Morales
  • Time: 10:20 am – 10:30 am

Abstract

Glioblastoma Multiforme (GBM) is an aggressive, refractory brain tumor, characterized by abnormal angiogenesis and potent immunosuppression. Like other solid tumors, angiogenesis, the formation of new blood vessels from pre-existing blood vessels, is a survival mechanism for GBM growth. In addition, GBM engages continuously with infiltrating immune cells, which can disturb drug efficacy of anti-angiogenic therapy. The connection between immunosuppression and tumor angiogenesis points to combinatorial immunotherapy and anti-angiogenic therapy. However, there is currently no reliable methodology to screen the effectiveness of these therapies. Therefore, we have engineered a biomimetic 3D vascularized GBM tumor microenvironment platform, integrating all the heterogeneous cell-cell interactions, controllable cell-matrix interactions (like promoting cell-ECM adhesion), tunable matrix properties (like altering ECM stiffness) to screen our proposed drugs.

Noemie Bacigalupi

  • Lab: Molecular Anthropology Lab
  • Faculty: Todd Disotell
  • Mentor: Dr. Andrew Burrell and Laura Matthews
  • Time: 10:10 am – 10:20 am

Abstract

Museum specimens, skins, dried tissues, and other biological materials are a valuable potential source of DNA for evolutionary and other studies. We will be comparing several different methods of DNA extraction and library construction for genome level sequencing. A series of bioinformatic approaches will be used to measure the accuracy, quality, and quantity of genome sequence data generated using the different strategies.

Jazmin Zamora

  • Lab: Center for Advanced Technology in Telecommunications & Distributed Information Systems (CATT)
  • Faculty: Shivendra Panwar
  • Mentor: Fraida Fund, Thanos Koutsaftis
  • Time: 10:00 am – 10:10 am

Abstract

Visible light communication (VLC) is an emerging wireless communication technology that transmits data using any device that produces lights, including light bulbs, small LEDs, or smartphone screens. However, while there is a lot of research being conducted involving VLC, researchers don’t have widespread access to a common VLC platform (e.g. a standard device, or a shared facility for conducting experiments). In this project, we integrate VLC devices into an open-access wireless research testbed. We hope that with access to this open facility for VLC experiments, researchers will be able to conduct VLC experiments more easily, reproduce published results and draw direct comparisons with new results, and build on other researchers’ work.

Juan Prieto, Divya Shah

  • Lab: Nanostructured Hybrid Materials
  • Faculty: Dr. Ayaskanta Sahu
  • Mentor: Ingrid J. Paredes, Michael Scimeca
  • Time: 10:30 am – 10:50 am

Abstract

Sustainable energy is one of the most pressing issues that society faces today. With traditional materials reaching their performance limits, the development of new materials will lead us to meet the global demand for energy in a clean and sustainable fashion. Hybrid materials are an emerging class of compounds that combine inorganic and organic components to produce materials with performance greater than the sum of their parts. Our lab seeks to gain fundamental understanding of the electronic and thermal properties of these hybrid systems. We will do this via the synthesis and characterization of hybrid materials, looking at the effect of composition, size, and shape on thermal and electronic properties. Once reliable methodologies for synthesis have been developed, we will implement our materials into devices including light emitting diodes, solar cells, and thermoelectric coolers.

Harpreet Kaur

  • Lab: Center for Urban Intelligent Transportation Systems Lab (CUITS)
  • Faculty: Joseph Chow
  • Mentor: Susan Jia Xu
  • Time: 10:50 am – 11:00 am

Abstract

Although New York is filled with myriad means of transportation including the MTA, Uber, Lyft, and Yellow Cabs, the use of the Citi Bike is rapidly increasing as a more efficient alternative. However, with the ever growing use of shared bikes comes the problem of rebalancing to provide customers bikes at all stations. For example, the bike station on 8th avenue and west 31st street always faces lack of bikes. To improve their services, the Citi Bike has added a Valet Service program on 12 of the most problematic stations in their system. As the Citi Bike wishes to expand and have 12,000 bikes by the end of 2017, it is crucial to investigate the factors responsible for those 12 stations being problematic so that future stations won’t have the same issues. A study of the relationship of fares, bike lanes, and accessibility to surrounding MTA services will be designed to explore the cause of the high population and demand of bikes in the 12 stations. Through research and analysis, the Citi Bike’s current methodology will be investigated to see if it will prove to be a successful rebalancing solution.

Regina Lekumovich, Andy Wang

  • Lab: The Systems Proteomics Lab
  • Faculty: Christine Vogel
  • Mentor: Shuvadeep Maity, Justin Rendleman
  • Time: 11:20 am – 11:40 am

Abstract

A cell cannot change its genetic composition in order to respond to an environmental stress, however it can change which genes are expressed during stress conditions. Messenger RNAs are the templates that dictate which proteins should be made; while the coding sequence of a messenger RNA determines the amino acid composition of a protein, the 5’ untranslated region holds important regulatory information that can control when, where, and how much a protein is synthesized. Importantly, the 5’ untranslated region can act as a sensor for different stresses in order to turn genes on and off when needed. To identify new features that control the expression of stress response genes, we will utilize a dual luciferase assay to test the functional relevance of potential regulatory elements within the 5’ untranslated region. Once established, this assay will be applicable to assess numerous genes across a wide range of conditions.

Ego Wong, Han Teng Li

  • Lab: Biomolecular Engineering Lab
  • Faculty: Jin Ryoun Kim
  • Mentor:Jason Candreva, Edward Chau
  • Time:11:40 am – 12:0 pm

Abstract

The mis-folding and aggregation of amyloidogenic proteins have been linked to several neurodegenerative diseases (i.e. Alzheimer’s and Parkinson’s Disease). Amyloids typically follow an aggregation pathway where unstructured monomeric units mis-fold and self-assemble to form neurotoxic oligomeric and fibrillar structures. We are investigating chemical compounds which may disrupt and modulate these amyloidogenic aggregation pathways. Results from the study can contribute towards uncovering the mechanisms behind amyloid protein aggregation, leading to possible therapeutic treatments and the discovery of new diagnostic tools.

Alexandra Shea Formanes

  • Lab: Composite Materials and Mechanics Lab (CMML)
  • Faculty: Nikhil Gupta
  • Mentor: Fei Chen
  • Time: 11:10 am – 11:20 am

Abstract

3D printing produces physical objects from digital files and has been favored by many industries from aerospace, architecture, and automotive to biomedical and dental for advantages such as low tooling or assembly costs, and high customization as well as geometrical complexity. In this project, we will use FDM (Fused Deposition modelling) which is one of the widely used 3D printing technologies to fabricate 3D physical objects from CAD models. The project will include learning the principal of 3D modeling, toolpath generation software, 3D printing prototypes and product quality assessment. Specifically, the CAD models designed with predetermined feature will be processed and printed under different angles and extrusion temperature in a 3D printer to understand how processing parameters affect printed parts quality with the existence of predetermined feature. By collecting these results, the predetermined feature can be selected as a candidate for further complex designs and product security development. In general, the student gains more knowledge about this latest advanced manufacturing technology in this project to understand the limits and capabilities of using 3D printing technology to produce high quality parts.

Luis Loja

  • Lab: Dynamical Systems Lab
  • Faculty: Prof. Maurizio Porfiri
  • Mentor: Rana El Khoury, Tommaso Ruberto, Daniele Neri
  • Time: 11:00 am – 11:10 am

Abstract

Just as zebrafish are attaining an important role in behavioral neuroscience, they are becoming particularly prominent in the study of fear and anxiety. Here, we will characterize fear-related response in zebrafish using a robotic predator employing a closed-loop control system. Closed-loop systems show promise in simulating a two-way interaction between stimuli and focal subjects. Our robotic platform will allow the actuation in three-dimensional space of a biologically-inspired replica of a red tiger oscar fish, an allopatric predator of the zebrafish. The platform will simulate real-time behavior of the predator in response to the zebrafish during experiments in a water tank.