Recent News 

I will update any recent professional developments here.

 

Curriculum Vitae

Name:
Amol Ashok Ambardekar.

PhD advisor: 
Mircea Nicolescu.

Address:  
1850 Selmi Dr
Apt B204
Reno, NV 89512

Phone Number: 775-313-1894
Email Address: ambardek@cse.unr.edu / acube3@yahoo.com

Personal Details:
Languages Known: English, Hindi, Marathi, Sanskrit.
Currently in US on F-1 Visa.

Education:
Currently pursuing Ph.D. in Computer Science and Engineering at University of Nevada, Reno, NV, USA (Current GPA: 4.0/4.0)
Completed Master of Science in Computer Science atUniversity 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 (GPA: 3.25/4.0)

Awards:

Outstanding International Graduate Student Award 2012
Outstanding International Graduate Student Award 2011
Outstanding International Graduate Student Award 2010
Teaching Recognition Award 2008

Current Employment:
Fall 2008 to current date:
Research Assistant in Computer Vision Lab (CVL) Spring 2008

Computer Literacy:
Languages: 
Pascal, C\C++, Visual Basic, Java, Visual C++, C# .NET.
Packages and Libraries: 
Matlab, Mathematica, OpenCV, OpenGL, CUDA, Robot Operating System (ROS).

Masters Thesis (Computer Science):
“Efficient Vehicle Tracking and Classification for an Automated Traffic Surveillance System” (pdf)

Masters Thesis (Applied Physics):
“Optical Levitation and manipulation of stuck particles with pulsed optical tweezers” (pdf)

Undergraduate Project (Electronics Engineering):
“Signature Recognition Using Image Processing & Artificial Intelligence” (pdf) 

Refereed Papers and Proceedings:

  1. Amol Ambardekar, Mircea Nicolescu, George Bebis, and Monica Nicolescu, "Visual traffic surveillance framework: classification to event detection," J. Electron. Imaging, 22 (4), 2013. (pdf)
  2. Richard Kelley, Alireza Tavakkoli, Christopher King, Amol Ambardekar, Monica Nicolescu, Mircea Nicolescu, "Context-Based Bayesian Intent Recognition", IEEE Transactions on Autonomous Mental Development - Special Issue on Biologically-Inspired Human-Robot Interactions, vol. 4, no. 3, pages 215-225, September 2012. (pdf)
  3. H. B. Kekre, V. A. Bharadi, P. Shaktia, V. Shah, and A. A. Ambardekar, "Keystroke dynamic analysis using relative entropy & timing sequence Euclidian distance", Proceedings of the ACM International Conference & Workshop on Emerging Trends in Technology, pp. 39-45, February 2011. (pdf)
  4. H. B. Kekre, V. A. Bharadi, V. I. Singh, and A. A. Ambardekar, "Palmprint recognition using Kekre's wavelet's energy entropy based feature vector", Proceedings of the ACM International Conference & Workshop on Emerging Trends in Technology, pp. 220-223, February 2011. (pdf)
  5. Amol Ambardekar, Alireza Tavakkoli, Mircea Nicolescu, Monica Nicolescu, "A Developmental Framework for Visual Learning in Robotics," Proceedings of the International Conference on Image Processing, Computer Vision and Pattern Recognition, Las Vegas, Nevada, July 2010. (pdf)
  6. Richard Kelley, Alireza Tavakkoli, Chris King, Amol Ambardekar, Mircea Nicolescu, and Monica Nicolescu, "Integrating Context into Intent Recognition Systems,"the Proceedings of 7th International Conference on Informatics in Control, Automation and Robotics, Madeira, Portugal, June 2010. (pdf)
  7. H. B. Kekre, V. A. Bharadi, S. Gupta, A. A. Ambardekar, V. B. Kulkarni, "Off-line signature recognition using morphological pixel variance analysis", Proceedings of the ACM International Conference and Workshop on Emerging Trends in Technology, pp. 3-10, February 2010. (pdf)
  8. Amol Ambardekar, Mircea Nicolescu, and Monica Nicolescu, “Object Tracking Using Piecewise Feature Clustering,” theProceedings of Visualization, Imaging and Image Processing,Cambridge, UK, July 2009. (pdf)
  9. Amol Ambardekar, Mircea Nicolescu, and Sergiu Dascalu, “Ground Truth Verification Tool (GTVT) for Video Surveillance Systems,” the Proceedings of Advances in Computer Human Interactions, Cancun, Mexico, February 2009. (pdf)
  10. Amol Ambardekar, Mircea Nicolescu, and George Bebis, “Efficient Vehicle Tracking and Classification for an Automated Traffic Surveillance System,” the Proceedings of Signal and Image Processing, Kailua-Kona, Hawaii, August 2008. (pdf)
  11. H. Kekre, Vinayak Bharadi, Amol Ambardekar, “Signature Recognition by Pixel Variance Analysis Using Multiple Morphological Dilations,” in International Journal of Information Retrieval, 1(1), pp. 5-9, 2008. 
  12. Alireza Tavakkoli, Amol Ambardekar, Mircea Nicolescu, Sushil Louis, "A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data",  the Proceedings of the 3rd International Symposium on Visual Computing, Lake Tahoe, Nevada, November 2007. (pdf)
  13. H. Kekre, Vinayak Bharadi, and Amol Ambardekar, "Novel and Simple Contour Technique for Signature Recognition," in National Conference of Communication and Signal Processing, Mumbai, India, 2007.
  14. Amol Ambardekar and Yong-qing Li, “Optical levitation and manipulation of stuck particles with pulsed optical tweezers,” Optics Letters, 30(14), 2005. (pdf)
  15. Amol Ambardekar and Yong-qing Li, “Pulsed optical tweezers for levitation and manipulation of stuck biological particles,” the Proceedings of Conference on Lasers and Electro-Optics, Baltimore, Maryland, USA, May 2005. (pdf)

Invited Talks and Posters

  1. Richard Kelley, Amol Ambardekar, Liesl Wigand, Monica Nicolescu, and Mircea Nicolescu, "Point Clouds and Range Images for Intent Recognition and Human-Robot Interaction," Proceedings of 2nd Workshop on RGB-D: Advanced Reasoning with Depth Cameras, June 2011. (pdf)
  2. Amol Ambardekar, Mircea Nicolescu, and George Bebis, “Automated Traffic Surveillance System,” the SIAM International Conference on Data Mining, Sparks, USA, May 2009.