Day 3 :
Time : 10:00-10:45
Ahmet Ali Yanik is an Assist. Professor of Electrical Engineering at University of California, Santa Cruz (UCSC). His current research focuses on isolation and single cell analysis of Circulating Tumor Cells (CTCs) from human blood using optofluidic-nanoplasmonic platforms. His research interests include nanoplasmonic and metamaterial devices for ultrasensitive infrared spectroscopy of biomolecules/chemicals as well as high throughput, cost effective, Bio NEMS technologies for life sciences, point-of-care diagnostics and global health. His expertise is in high-end nanolithography and bio-patterning as well as theory and engineering of nano photonic devices. Before joining to UCSC, he was a senior research associate at BioMEMS Resource Center at Harvard Medical School and Surgery Department in Massachusetts General Hospital.
Nano photonics is opening a myriad of unprecedented opportunities for biomedical applications by localizing light beyond the diffraction limit and dramatically boosting the light-matter interactions at nano scale dimensions. In this talk, I will introduce a number of transformative technologies based on nano scale control of light and fluidics on a chip. I will show how to overcome some of the fundamental limitations of the state of art techniques used in vitro diagnostics of infectious diseases and cancer.
- Track 3: Nanophotonics Track 4: Biophotonics Track 5 : Optoelectronic Devices and Materials
Bernard S. Gerstman
University of Central Florida, USA
University of Central Florida, USA
Title: Fabrication and characterization of direct laser written 3D micro-structures in arsenic trisulfide chalcogenide glasses
Time : 11:00-11:40
Casey M. Schwarz completed her PhD in Physics at UCF in 2012 studying the radiation effects of semiconductor transport properties using electron beam induced current and Cathodoluminescence characterization techniques. Schwarz joined the Kuebler research group at UCF in 2013 a post-doctoral researcher where she is currently investigating the processing and properties of novel materials for future optical device applications. Schwarz’s work in this area has led to her presenting and publishing her work at the 2014 and 2015 Photonics West SPIE conference in San Francisco, writing a chapter review on micro-fabrication, and generating the science for two papers in progress.
Arsenic trisulfide (As2S3) is a chalcogenide (ChG) material with excellent infrared (IR) transparency (620 nm to 11 μm) and large nonlinear refractive indices. These properties directly relate to commercial and industrial applications including sensors, photonic waveguides, and acousto-optics. Thermal deposition fragments the bulk As2S3 glass into molecular clusters that can then be deposited as photosensitive thin films. Multi-photon exposure can be used to photo-pattern these films by cross-linking the material into a network solid. Placing the photo-patterned cross-linked material into a polar-solvent removes the unexposed material leaving behind a structure that is a negative-tone replica of the photo-pattern. Nano structured arrays that were photo-patterned in single layered As2S3 films through multi-photon direct laser writing (DLW) resulted in the production of nano-beads as a consequence of a standing wave effect. To overcome this effect, an anti-reflective (AR) layer of arsenic triselenide (As2Se3) was thermally deposited between the silicon substrate and the As2S3 layer, creating a multi-layered film. In this work, the chemical composition and refractive index of the unexposed and photo-exposed multi-layered film was examined through Raman spectroscopy and near infrared ellipsometry. Nano-structured arrays were photo-patterned in the multi-layered film and the resulting structure, morphology, and chemical composition were characterized, compared to results from the single layered film, and correlated with the conditions of the thermal deposition, patterned irradiation, and etch processing. Large homogenous nano-structured arrays were fabricated and optically characterized.
Dr. Guangming Tao received his Ph.D. in 2014 from the University of Central Florida in optics. He is a Senior Research Scientist at CREOL, The College of Optics & Photonics, the University of Central Florida. He is also the cofounder and the CTO of Lambda Photonics LLC, an IR fiber startup company that developed out of his Ph.D. work. He has years of research experience in sciences and engineering in academia, industry, and government institutes with expertise in the areas of infrared material, infrared fiber and fiber laser, in-fiber nanofabrication, in-fiber energy devices, and novel smart fibers with unique functionalities.
Infrared fibers offer a versatile approach to guiding and manipulating light in the infrared spectrum, which is becoming increasingly more prominent in a variety of scientific disciplines and technological applications. Despite well-established efforts on the fabrication of infrared fibers over the past decades, a number of remarkable breakthroughs have recently rejuvenated the field – just as related areas in infrared optical technology are reaching maturation. In this review, we describe both the history and recent developments in the design and fabrication of infrared fibers including infrared glass and single-crystal fibers, multimaterial fibers, and fibers that exploit the transparency window of traditional crystalline semiconductors. This interdisciplinary review will be of interest to researchers in optics and photonics, materials science, and electrical engineering.
University of Central Florida,USA
Time : 12:20-13:00
Michael N. Leuenberger received his PhD degree in theoretical physics in 2002 from the University of Basel in Switzerland. After his postdoctoral positions at the University of Iowa and at the University of California, San Diego he joined in 2005 the NanoScience Technology Center at the University of Central Florida and became tenured Associate Professor in 2011. In 2008 he received the DARPA/MTO Young Investigator Award. His current research areas include quantum information processing in topological insulators, optoelectronics in 2D materials, and solar energy harvesting in nanoparticles. He has published more than 60 peer-reviewed papers and 4 book chapters.
The non-zero thickness of MoS2 single layer (SL) manifests in electron states forming classes of states even and odd with respect to reflections through the central plane. These states are energetically well separated: in particular, we show that pristine MoS2 SL exhibits two bandgaps Eg|| =1.9 eV and Eg=3.2 eV for the optical in-plane and out-of-plane susceptibilities || and , respectively. Because of this, odd states are often neglected, which effectively reduces MoS2 SL to a perfect 2D system. We study states bound to defects in MoS2 SL with three types of vacancy defects (VD): (i) Mo-vacancy, (ii) S2-vacancy, and (iii) 3MoS2 quantum antidot --- and show that odd states play an equally important role as even states. In particular, we show that odd states bound to VD lead to resonances in inside Eg in MoS2 SL with VDs. Additionally, we demonstrate that the states bound to VDs are not necessarily confined to the bandgap in the even subsystem, which requires the extension of the energy region affected by the bound states. The resulting optical signatures not only provide the possibility to identify the type but also the concentration of VDs, thereby paving the way to quantifying the purity of defected SLs of transition metal dichalcogenides containing VDs.
Unnikrishnan has completed his PhD from Manipal University and currently working as an Associate Professor @ Department of Atomic and Molecular Physics, Manipal University. He has published more than 15 papers in peer reviewed journals and is a life member of Indian Laser Association.
In recent years, LIBS has been shown to be a versatile elemental analysis tool attracting increased attention because of the broad range of applications. LIBS can be used for analysis of both environmental samples and physiological samples (tissue and body fluids). Conventional spectroscopy techniques like inductively coupled plasma-mass spectroscopy (ICP-MS), and atomic absorption spectroscopy (AAS) are good in analytical performance, but their sample preparation method is destructive and environmentally hazardous. All these methods are capable of analysing only one element at a time. Compared to these methods, LIBS has numerous potential advantages such as simplicity in the experimental setup, less sample preparation, less destructive analysis of sample etc. In this paper, we report some of the biomedical applications of LIBS. From the experiments carried out on clinical samples (calcified tissues or teeth and gall stones) for trace elemental mapping and detection, it was found that LIBS is a robust tool for such applications. It is seen that the presence and relative concentrations of major elements (calcium, phosphorus and magnesium) in human calcified tissue (tooth) can be easily determined using LIBS technique. The importance of this study comes in anthropology where tooth and bone are main samples from which reliable data can be easily retrieved. Similarly, elemental composition of bile juice and gall stone collected from the same subject using LIBS was found to be similar. The results show interesting prospects for LIBS to study cholelithiasis (the presence of stones in the gall bladder, is a common disease of the gastrointestinal tract) better.
Karoon University, Iraq
Title: Prediction of Gain and Excess Noise factor for Avalanche Photodetector using Multilayer Perceptron Neural Network
Time : 14:15-14:45
Sara Fadaei has completed her Master Science of Electrical engineering at the age of 28 years from Islamic Azad university of Bushehr and B.Eng Telecommunication Engineering from Islamic Azad university of Najafabad. She is the Project Co-ordinator at Khuzestan regional electric company in Iran. She has published 4 papers in reputed journal and conferances.
In this paper, we predict gain and excess noise factor for different avalanche photodetectors using multilayer perceptron neural network. We assume the most important factors such as bias voltage, length, type and doping concentration of absorption and multiplication regions, as the inputs of network. Also, gain and excess noise are outputs. After training, we apply the test patterns to network and compare outputs with experimental results. Finally, we consider behavior of excess noise for different values in input parameters, such as length of absorption and multiplication regions.