This document provides biographical and professional information about Ivan Skachko. It summarizes his education, including a Ph.D. in Physics from Rutgers University, skills in experimental low-temperature physics and microfabrication, and work experience as a postdoctoral research associate at Pennsylvania State University and Rutgers University investigating graphene and superconductivity. It also lists publications, conference presentations, and references.
Face Recognition for Different Facial Expressions Using Principal Component a...AM Publications
The face is our primary focus of attention in social intercourse, playing a major role in conveying
identity and emotion. We can recognize thousands of faces learned throughout our lifetime and identify familiar faces
at a glance even after years of separation. This skill is quite robust, despite large changes in the visual stimulus due to
viewing conditions, expression, aging, and distractions such as glasses, beards, changes in hairstyle. Though human
faces are complex in shape, face recognition is not difficult for a human brain whereas for a computer this job is not
easy. In this paper presents and analyzes the performance of Principle Component Analysis (PCA) based technique for
face recognition. We consider recognition of human faces with two facial expressions: single and differential. The
images that are captured previously constitute the training set. From these images eigenfaces are calculated. The image
that is going to be recognized through our system is mapped to the same eigenspaces. Next I used classification
technique namely distance based used to classify the images as recognized or non-recognized. Presently I got result for
the single facial expression now I am working for different facial expression.
Prepare yourself for the tough world with our tips on app for the time management section that may assist you in developing good work habits to perform better.
Face Recognition for Different Facial Expressions Using Principal Component a...AM Publications
The face is our primary focus of attention in social intercourse, playing a major role in conveying
identity and emotion. We can recognize thousands of faces learned throughout our lifetime and identify familiar faces
at a glance even after years of separation. This skill is quite robust, despite large changes in the visual stimulus due to
viewing conditions, expression, aging, and distractions such as glasses, beards, changes in hairstyle. Though human
faces are complex in shape, face recognition is not difficult for a human brain whereas for a computer this job is not
easy. In this paper presents and analyzes the performance of Principle Component Analysis (PCA) based technique for
face recognition. We consider recognition of human faces with two facial expressions: single and differential. The
images that are captured previously constitute the training set. From these images eigenfaces are calculated. The image
that is going to be recognized through our system is mapped to the same eigenspaces. Next I used classification
technique namely distance based used to classify the images as recognized or non-recognized. Presently I got result for
the single facial expression now I am working for different facial expression.
Prepare yourself for the tough world with our tips on app for the time management section that may assist you in developing good work habits to perform better.
I hold Doctor of Philosophy (Ph.D.) Physics of Universiti Teknologi Malaysia with specialization in environmental impact assessments. My area of research has been in the fields of radiation assessments, groundwater pollution evaluation, remediation and radiological risk forensics which represent one of the main activities. The effort in these fields was clearly noticed due to the presence of necessary scientific contributions in radiation dose assessments, groundwater monitoring, contamination channels, and remediation of radiotoxicity risks. The excellence of these inputs has provided a baseline for civil engineers and water resources managements on safer areas to drill boreholes for quality and consumable groundwater-based drinking, free from radionuclides. My research innovation has contributed greatly in providing solutions to many complicated groundwater and environmental problems which have been recorded as outstanding discoveries to the readers in scientific community by publishing all the novelties and scientific facts in high quality scholarly Journals guided by Thompson Reuters Journal Citation Reports (ISI-Web of Knowledge). Most of the discoveries have equally shared in International conferences in Hungary, Singapore and Malaysia with the proceedings published in ISI and Scopus indexed Journals. In addition, some of the scientific contributions yielded awards from International Doctoral Fellowship through Universiti Teknologi Malaysia that covered tuition fee and other benefits during my doctoral programme
Complete Photoproduction Experiments - 12th International Conference on Meson-Nucleon Physics and the Structure of the Nucleon, Virginia, USA, 31 May-4 June 2010. AIP Conference Proceedings, October 2011, Vol. 1374, pp. 17-22, ISSN: 0094-243X, doi: 10.1063/1.3647092
di A. D’Angelo, K. Ardashev, C. Bade, O. Bartalini, V. Bellini, M. Blecher, J. P. Bocquet, M. Capogni, A. Caracappa, L. E. Casano, M. Castoldi, R. Di Salvo, A. Fantini, D. Franco, G. Gervino, F. Ghio, G. Giardina, C. Gibson, B. Girolami, A. Giusa, H. Glu, K. Hicks, S. Hoblit, A. Honig, T. Kageya, M. Khandaker, O. C. Kistner, S. Kizilgul, S. Kucuker, A. Lapikf, A. Lehmann, P. Levi Sandri, A. Lleres, M. Lowry, M. Lucas, J. Mahon, F. Mammoliti, G. Mandaglio, M. Manganaro, L. Miceli, D. Moricciani, A. Mushkarenkovf, V. Nedorezovf, B. Norum, M. Papb, B. Preedom, H. Seyfarthb, C. Randieri, D. Rebreyend, N. Rudnevf, G. Russo, A. Sandorfi, C. Schaerf, M. L. Sperduto, H. Stroher, M. C. Sutera, C. E. Thorn, A. Turingef, V. Vegna, C. S. Whisnanth, K. Wang, X. Wei (2011)
Abstract
The extraction of resonance parameters from meson photo-reaction data is a challenging effort, that would greatly benefit from the availability of several polarization observables, measured for each reaction channel on both proton and neutron targets. In the aim of obtaining such complete experiments, polarized photon beams and targets have been developed at facilities, worldwide. We report on the latest results from the LEGS and GRAAL collaborations, providing single and double polarization measurements on pseudo-scalar meson photo-production from the nucleon.
1. Ivan Skachko Page 1
IVAN SKACHKO
Work address:
Pennsylvania State University
N-351 Millennium Science Complex
University Park, PA 16802
skachko@psu.edu
Home address:
210 Liberty St Apt A
Boalsburg, PA 16827
skachko@gmail.com
Phone: (732)618-4770
Education
Ph.D., Physics, May 2006, graduate advisor: Prof. E. Andrei, Rutgers, The State University of New
Jersey, Dept. of Physics&Astronomy, New Brunswick, NJ
M. S., Physics, June 1995, graduate advisor: Prof. M. S. Soskin Moscow Institute of Physics and
Technology, Moscow, Russia
B. S., General&Applied Physics, June 1993, Moscow Institute of Physics and Technology,
Moscow, Russia
Skills
Knowledge of condensed matter physics: superconductivity, superfluidity, low dimensional systems,
mesoscopics, graphene physics
Experimental low-temperature techniques: electrical transport measurements (particularly in high
magnetic field), operation and design of cryogenic equipment such as cryostats, dilution fridges, 3He
fridges, low-temperature electronics, superconducting magnets
Electronics: analog/digital, RF, low level measurements, SNS junctions
Microfabrication: optical/e-beam lithography, AFM, SEM, sputtering, e-beam evaporation,
wirebonding
Optical methods: lasers, non-linear optics, Raman spectroscopy
Vacuum equipment and hardware (HV and UHV)
Data analysis software (Origin, Igor, Mathematica)
Data acquisition software (LabVIEW) and hardware (DAQ, GPIB)
Mechanical design, SolidWorks, AutoCAD, eMachineShop
PDE solvers: Comsol
Basic programming skills (C++, Java)
Machine shop operations
Teaching undergraduate physics
Languages: fluency in Russian, can read French
Work Experience
06/2013-present Postdoctoral research associate, Group of Prof. E.W. Hudson, Department of Physics,
Pennsylvania State University, University Park, PA
Design and construction of ultra-low temperature, high magnetic field, ultra-high vacuum scanning
probe microscope
05/2006-03/2013 Postdoctoral research associate, Low-Temperature Physics Laboratory of Prof. E.Y. Andrei,
Department of Physics&Astronomy, Rutgers University, Piscataway, NJ
2. Ivan Skachko Page 2
Measurements of Quantum Hall effect in graphene
Development of graphene-based devices (suspended graphene)
Experimental investigation of superconducting proximity effect in graphene (two-dimensional
allotrope of carbon)
Performing electrical transport measurements in National High Magnetic Field Laboratory,
Tallahassee, FL
09/1996-05/2006 Ph.D. student, Low-Temperature Physics Laboratory of Prof. E.Y. Andrei, Department of
Physics&Astronomy, Rutgers University, Piscataway, NJ
RF and low frequency measurements of Wigner transition in 2D electron system on a thin film of
liquid helium
Running and maintaining low-temperature cryostat (dilution refrigerator)
Building liquid helium cell and setting up measuring electronics
Fabrication of RF microstructures
08/1994-05/1996 Research Assistant, Laboratory of Holography&Non-Linear Optics (Prof. Soskin), Institute
of Physics, Kiev, Ukraine
Study of laser induced self-defocusing in liquid solutions
Using photorefractive crystals for production of singular opticalwavefronts
09/1993-08/1994 Research Assistant, Laboratory of Liquid Crystals (Prof. Reznikov), Institute of Physics,
Kiev, Ukraine
Experimental investigation of non-linear optical properties of liquid crystals
Preparation of liquid crystal cells
CareerSearch Keywords
Scientific instrument industry, semiconductors, superconductivity
Awards
InnoCentive 9932853 – “Mechanical Joint with High Ultrasound Conductivity”
Publications
Screening Charged Impurities and Lifting the Orbital Degeneracy in Graphene by Populating
Landau Levels Adina Luican-Mayer, Maxim Kharitonov, Guohong Li, Chih-Pin Lu, Ivan Skachko,
Alem-Mar Goncalves, K. Watanabe, T. Taniguchi, and E. Y. Andrei Phys. Rev. Lett. 112, 036804
(2014)
Fractional quantum Hall effect in suspended graphene probed with two-terminal
measurements I. Skachko, X. Du, F. Duerr, A. Luican, D. A. Abanin, L. S. Levitov and E. Y. Andrei
Phil. Trans. R. Soc. A vol. 368 no. 1932 5403-5416 (2010)
Fractional quantum Hall effect in suspended graphene: Transport coefficients and electron
interaction strength D. A. Abanin, I. Skachko, X. Du, E. Y. Andrei, and L. S. Levitov, Phys. Rev. B
81, 115410 (2010)
Fractional quantum Hall effect and insulating phase of Dirac electrons in graphene Xu Du, Ivan
Skachko, Fabian Duerr, Adina Luican, Eva Y. Andrei, Nature 462, 192-195 (2009)
Towards ballistic transport in graphene Xu Du, I. Skachko, and E. Y. Andrei, International
Journal of Modern Physics B 22, 4579 (2008)
3. Ivan Skachko Page 3
Approaching the Dirac point in suspended graphene Xu Du, I. Skachko, A. Barker, E.Y. Andrei,
Nature Nanotechnology 3, 491 (2008)
Josephson Current and Multiple Andreev Reflections in Graphene SNS Junctions Xu Du,
I. Skachko, E. Y. Andrei, Phys. Rev. B 77, 184507 (2008)
Conference Presentations
APS meeting, March 15-19, 2010, D21.00005 Fractional Quantum Hall Effect in Suspended
Graphene: Transport Coefficients and Electron Interaction Strength, V22.00008 Quantum Hall effect
in suspended graphene: two-lead versus Hall bar geometry
APS meeting, March 16-20, 2009, W25.00012 Magnetically induced low density phases near the
Dirac point
APS meeting, March 10-15, 2008, Q29.00012: Josephson Current and Multiple Andreev Reflections
in Graphene SNS Junctions, B29.00013: Studies of limitations on the mobility and mean free paths in
graphene devices
4. Ivan Skachko Page 4
References
Prof. Eric W. Hudson
Penn State University
Physics Department
University Park, PA
(814)863-5345
ehudson@psu.edu
Prof. Eva Andrei
Rutgers University
Physics Department
Piscataway, NJ
(732)445-5500ext2509
eandrei@physics.rutgers.edu
Prof. Xu Du
Stony Brook University
Physics Department
Stony Brook, NY
(631)632-8019
xudu@notes.cc.sunysb.edu