RESUME
Name
: Amol Ashok Ambardekar.
My advisor is
Dr. Mircea Nicolescu.
Permanent
Address: “OM Bungalow”, Opp. Nachane Ration Shop,
Ramesh Nagar, Nachane, Ratnagiri.
Pin: 415612, Maharashtra, India
Currernt
Address: 401 College Drive, Apt 131
Reno, NV 89503, USA
Phone
Number: 775-313-1894
Email
Address: acube3@yahoo.com
Personal Details:
Date of
Birth : 22nd May 1980.
Nationality :
Indian (Currently in USA on Student (F-1) Visa)
Languages Known:
English, Hindi, Marathi, Sanskrit.
Education:
Currently doing Ph.D. in Computer
Science and Engineering at University of Nevada, Reno, NV,
USA
Completed Master of Science in
Computer Science at University of Nevada, Reno, NV, USA
in December, 2007 (GPA: 4.0/4.0)
Completed Master of Science in Applied
Physics at East Carolina University, NC, USA in July
2005 (GPA: 4.0/4.0)
Completed Bachelor of
Engineering-Electronics Engineering from Finolex Academy of
Management & Technology (Mumbai University, India) in
November 2002
Computer Literacy:
Languages: Pascal,
C\C++, Visual Basic, Java, Visual C++.
Platforms: Windows,
and Linux.
Packages: Matlab,
Mathematica, OpenCV, OpenGL.
Undergraduate Project: (pdf)
The project was “Signature Recognition Using Image Processing &
Artificial Intelligence”. This is a fully software based project. We
used Microsoft Visual Basic 6.0 for programming purpose. In this
project, we tried to simulate the process of signature recognition.
We used Morphological & Template Matching approach for the
recognition of the signature. To save the signatures, the software
implements application specific encryption which serves two
purposes, security & compression i.e. by using new .fmt format, .BMP
quality image can be stored with about 95% compression. Software
comes with context sensitive help & also Spoken Help using Microsoft
Speech API. To optimize the speed of the program Windows APIs were
used. The Custom ActiveX Control (ScrollPic.ocx) was developed
exclusively for this software which handles almost all Image
Processing operations required. We got acceptable results and the
program accuracy was also good. This software can be further
developed to commercial grade software. About 14,000 lines of code
was written for the software.
Masters Thesis (Applied Physics):
Title:
“Optical Levitation and manipulation of stuck particles with pulsed
optical tweezers” (pdf)
We report on optical levitation and manipulation of microscopic
particles stuck on a glass surface with a pulsed optical tweezers.
In our experiment, an infrared pulse laser at 1.06 µm was used to
generate a large gradient force (up to 10-9 N) within a
short duration (~45 ms)
that overcomes the adhesive interaction between the stuck particles
and the surface; and then a low-power continuous-wave diode laser at
785 nm was used to capture and manipulate the levitated particle. We
demonstrated that both the stuck dielectric and biological
micron-sized particles can be levitated and manipulated with this
technique, including polystyrene beads, yeast cells, and bacillus
cereus bacteria. We also measured the single pulse levitation
efficiency for polystyrene beads as the functions of the pulse
energy and the axial displacement from the stuck particle to the
pulsed laser focus. The result showed that the levitation efficiency
was as high as 88% for 2.0µm polystyrene spheres.
Masters Thesis (Computer Science):
Title:
“Efficient Vehicle Tracking and Classification for an Automated
Traffic Surveillance System” (pdf)
As digital
cameras and powerful computers have become wide spread, the number
of applications using vision techniques has increased enormously.
One such application that has received significant attention from
the computer vision community is traffic surveillance. We propose a
new traffic surveillance system that works without prior, explicit
camera calibration, and has the ability to perform surveillance
tasks in real time. Camera intrinsic parameters and its position
with respect to the ground plane were derived using geometric
primitives common to any traffic scene. We use optical flow and
knowledge of camera parameters to detect the pose of a vehicle in
the 3D world. This information is used in a model-based vehicle
detection and classification technique employed by our traffic
surveillance application. The object (vehicle) classification uses
two new techniques − color contour based matching and gradient based
matching. We report good results for vehicle detection, tracking,
and vehicle speed estimation. Vehicle classification results can
still be improved, but the approach itself gives thoughtful insight
and direction to future work that would result in a full fledged
traffic surveillance system.
Papers and Proceedings:
Amol
Ambardekar, Mircea Nicolescu,
and Sergiu Dascalu, “Ground Truth
Verification Tool (GTVT) for Video Surveillance Systems,”
(to appear in) the Proceedings of Advances
in Computer Human Interactions, Cancun, Mexico, February 2009. (pdf)
Amol
Ambardekar, Mircea Nicolescu,
and George Bebis, “Efficient Vehicle Tracking and Classification for
an Automated Traffic Surveillance System,” (to appear in) the Proceedings of Signal and Image Processing,
Kailua-Kona, Hawaii, August 2008. (pdf)
H. B. Kekre, V. A. Bharadi, A. A. Ambardekar, “Signature Recognition by Pixel Variance
Analysis Using Multiple Morphological Dilations,” International. Journal of Computer Science and Information
Technology, 2008. (pdf)
Alireza Tavakkoli, Amol
Ambardekar, Mircea Nicolescu, Sushil Louis, "A Genetic
Approach to Training Support Vector Data Descriptors for Background
Modeling in Video Data", (to appear in) the Proceedings of
the 3rd International Symposium on Visual Computing, Lake Tahoe,
Nevada, November 2007. (pdf)
H. B. Kekre, V. A. Bharadi, and A. A.
Ambardekar, "Novel and simple contour technique for signature
recognition," in National Conference of Communication and
Signal Processing 2007 (NCCSP 2007), Mumbai, India, 2007. (pdf)
Amol Ashok Ambardekar
and Yong-qing Li, “Optical levitation and manipulation of
stuck particles with pulsed optical tweezers,” in Optics
Letters, 30(14), 2005. (pdf)
Amol Ashok Ambardekar
and Yong-qing Li, “Pulsed optical tweezers for levitation and
manipulation of stuck biological particles,” Conference on
Lasers and Electro-Optics, Baltimore, Maryland, May 22-27, 2005.
(pdf)