Ev ve Ofis taşıma
sektöründe lider olmak.Teknolojiyi takip ederek bunu müşteri menuniyeti amacı için kullanmak.Sektörde marka olmak.
İstanbul evden eve nakliyat
Misyonumuz sayesinde edindiğimiz müşteri memnuniyeti ve güven ile müşterilerimizin bizi tavsiye etmelerini sağlamak.
Marlan and Rosemary Bourns Presidential
Endowed Chair and Distinguished Professor
PhD, Image Processing Institute, University of
Southern California, Los Angeles, California, 1981
Suite 216, Winston Chung Hall
University of California, Riverside
Riverside, CA 92521
Former Institution: Honeywell Incorporated
Dr. Bhanu is the Distinguished Professor of Electrical and Computer Engineering and Cooperative Professor of Computer Science
and Engineering and Mechanical Engineering, Director of the Center for Research in Intelligent Systems (CRIS), and the Visualization
and Intelligent Systems Laboratory (VISLab) at the University of California, Riverside (UCR). In addition, Dr. Bhanu serves as the
interim Chair of the Bioengineering Department at UCR and the Director of NSF IGERT program on Video Bioinformatics. Dr. Bhanu was
the first Founding Faculty of the Bourns College of Engineering and the Founding Chair of Electrical Engineering at UCR (1991-94).
Prior to joining UCR, Dr. Bhanu was Senior Honeywell Fellow at Honeywell Inc. Dr. Bhanu has been on the faculty of the Department
of Computer Science, University of Utah, and has worked with Ford Aerospace & Communications Corporation, INRIA-France and IBM San
Jose Research Laboratory. Dr. Bhanu has been the principal investigator of various programs from NSF, DARPA, NASA, AFOSR, ONR, ARO
and other agencies and industries in the areas of object/target recognition, learning and vision, image/video understanding, image/video
databases with applications in security, defense, intelligence, biological and medical imaging, biometrics, autonomous navigation
and industrial machine vision.
Dr. Bhanu is the co-author of ten books (seven authored and three edited): Human Recognition at a Distance in Video (Springer, 2010),
Human Ear Recognition by Computer (Springer, 2008), Synthesis of Pattern Recognition Systems (Springer, 2005 ), Computational Algorithms
for Fingerprint Recognition (2003), Genetic Learning for Adaptive Image Segmentation (Kluwer, 1994) and Qualitative Motion Understanding
(Kluwer, 1992), Multibiometrics for Human Identification (Edited, Cambridge University Press, 2011), Distributed Video Sensor Networks
(Edited, Springer, 2011), Computer Vision Beyond the Visible Spectrum (Edited, Springer, 2004), and Computational Learning for Adaptive
Computer Vision (forthcoming, Springer). Dr. Bhanu has published over 475 reviewed papers, including 125 journal papers and 44 book chapters.
Dr. Bhanu has 13 US and International patents (plus 5 pending). Dr. Bhanu has been the associate editor/guest editor of many journals
including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on
Robotics & Automation, IEEE Transactions on Systems Man & Cybernetics-B, IEEE Transactions on Information Forensics and Security, IEEE
Computer, IEEE Sensors Journal, Pattern Recognition, Pattern Analysis and Applications, Journal of Mathematical Imaging and Vision, Autonomous
Robots, Computer Vision and Image Understanding, International Journal of Machine Vision and Applications, and others.
Dr. Bhanu has received many outstanding journal and conference paper awards with his students; several research excellence and outstanding
contributions awards from the university and industries (Honeywell Inc., IBM), including an award from the CEO of Honeywell Inc. Dr. Bhanu
received an award for the team efforts in a large research program sponsored by DARPA. Dr. Bhanu received the Research Excellence Award from
the Bourns College of Engineering at UCR in 2003. Dr. Bhanu received the 2011 Doctoral Dissertation Advisor/Mentor Award from the University
of California at Riverside. Dr. Bhanu has been a consultant to DARPA, a panelist for the review of AFRL programs and a panelist for the
strategic planning of ARO programs. Dr. Bhanu has been an expert witness in the areas of his interest. Dr. Bhanu has given many invited talks
at conferences, universities, industries and DoD meetings.
Dr. Bhanu is Fellow of the Institute of Electrical and Electronics Engineers (IEEE 1995), the American Association for the Advancement of Science
(AAAS 1997), the International Association of Pattern Recognition (IAPR 2000), and the International Society for Optical Engineering (SPIE 2003).
Dr. Bhanu is a member of ACM and AAAI. Dr. Bhanu was the Chair for the DARPA Image Understanding Workshop, IUW (Monterey, CA, 1994), Chair for the
IEEE Conference on Computer Vision and Pattern Recognition, CVPR (San Francisco, CA, 1996), Chair for the IEEE International Conference on Advanced
Video and Signal-based Surveillance, AVSS (Santa Fe, NM, 2008), ACM/IEEE Conference on Distributed /Smart Cameras, ICDSC (Palm Springs, CA, 2013),
and the founding Chair for the IEEE Workshop on Applications of Computer Vision, WACV (Palm Springs, CA, 1992, 2000). Dr. Bhanu is the General Chair
of IEEE Conference on Winter Applications of Computer Vision (Hawai'i, HI, 2015). Dr. Bhanu served on the IEEE Fellow Committee (2010-2012).
Dr. Bhanu continues to be very active in multiple professional conferences and workshops in the areas of his interest.
Dr. Bhanu received the S.M. and E.E. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology in 1997;
the Ph.D. degree in Electrical Engineering from the Image Processing Institute, University of Southern California in 1981 and the M.B.A. degree
from the University of California, Irvine in 1984. He also received B.S. (with Honors) in Electronics Engineering from the Indian Institute of
Technology, BHU, Varanasi, India in 1972 and M.E. (with Distinction) in Electronics Engineering from Birla Institute of Technology and Science,
Pilani, India. In 1974, Dr. Bhanu supervises Ph.D. students in Electrical Engineering, Computer Science and Engineering, Mechanical Engineering
Dr. Bhanu's current research interests are Computer Vision, Pattern Recognition and Data Mining, Machine Learning, Artificial Intelligence,
Image Processing, Image and Video Database, Graphics and Visualization, Robotics, Human-Computer Interactions, Biological, Medical, Military
and Intelligence applications.
- B.S. (Honors) Electronics Engineering, 1972, Indian Institute of Technology, BHU, India
- M.E. (Distinction) Electronics Engineering, 1974, Birla Institute of Technology & Science, Pilani, India
- S.M. & E.E Electrical Engineering & Computer Science, 1977, Massachusetts Institute of Technology, MIT (Research Laboratory of Electronics)
- Ph.D. Electrical Engineering, 1981, University of Southern California, USC (Image Processing Institute)
- M.B.A. Business Management, 1984, University of California at Irvine, UCI
- Fellow, Institute of Electrical and Electronics Engineers (IEEE 1995)
- Fellow, American Association for the Advancement of Science (AAAS 1997)
- Fellow, International Association of Pattern Recognition (IAPR 2000)
- Fellow, International Society for Optical Engineering (SPIE 2003)
- Fellow, American Institute for Medical and Biological Engineering (AIMBE 2015)
- Senior Fellow, Honeywell Inc., 1990
- IEEE Fellow Committee 2010-2012
- Doctoral Dissertation/Mentor Award of the Graduate Council, University of California at Riverside, June 2011
- Bourns College of Engineering Research Excellence Award, November 2003
- Editorial Board Award for Outstanding Papers Published in Pattern Recognition Journal, March 2000 and June 1990
- Award and plaque from the President and Chief Operating Officer of Honeywell Inc. in Recognition of Engineering Expertise and Achievement 1992
- Honeywell SRC Alpha Team Award on DARPA Scene Dynamics Program, 1989
- IBM Project Award for Outstanding Contribution, 1978
Selected Awards with Recent Students
- IBM Best Student Paper Award - A. L. Tambo*, B. Bhanu, N. Luo*, G. Harlow*, Z. Yang, "Integrated Model for Understanding Pollen Tube Growth in Video," 22nd International Conference on Pattern Recognition, Stockholm, Sweden, August 24-28, 2014. Picture
- Best Conference Paper Award - L. An*, M. Kafai*, S. Yang* and B. Bhanu, "Reference-Based Person Re-Identification," 10th IEEE International Conference on Advanced Video and Signal-based Surveillance, Krakow, Poland, August 27-30, 2013.
- NSF Community Choice $2000 Award - G.J. Harlow*, A. C. Cruz*, S. Li, B. Bhanu and Z. Yang, "Pillars of Plant Cell Polarity: 3-D Automated Microtubule Ordering and Asymmetric Cell Pattern Analysis," NSF IGERT Poster/Video Competition, Washington, DC, May 21-24, 2013.
- Best Conference Paper Award - X. Guan*, B. Bhanu, P. Talbot and S. Lin, "Automatic human embryonic stem cell detection," IEEE Healthcare Informatics, Imaging, and Systems Biology Conference, Sept. 27-28, 2012. Picture
- NSF Judges' Choice $2000 Award - A. Cruz* and B. Bhanu, "Recognizing human facial emotions in video: A psychologically-inspired fusion model," NSF IGERT Poster and Video Competition, May 22-24, 2012.
- Best Entry Award - S. Yang* and B. Bhanu, "Facial expression recognition using emotion avatar image," International Competition on Facial Expression Recognition, held in conjunction with 9th IEEE International Conference on Automated Face and Gesture Recognition, Santa Barbara, March 21-25, 2011. Picture
- Best Paper Award Nomination (pg. 14) - Real World Applications Track - H. Nguyen* and B. Bhanu, "Tracking multiple objects in non-stationary video," 18th ACM Genetic and Evolutionary Computation Conference (GECCO), Montreal, Canada, July 8-12, 2009.
- Best Student Paper Award - K. Yamauchi*, B. Bhanu and H. Saito, "Recognition of walking humans in 3D," IEEE Computer Society Workshop on Biometrics held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, 2009.
- Best Paper Award - Y. Li* and B. Bhanu, "Utility-based dynamic camera assignment and hand-off in a video network," 2nd ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), Stanford University, CA, September 7-11, 2008.
- B. Bhanu and P. Talbot (Eds.), Video Bioinformatics - From Live Imaging to Knowledge", Springer 2016. ISBN: 978-3-319-23723-7.
- A. Tambo and B. Bhanu, “Segmentation of pollen tube growth videos using dynamic bi-modal fusion and seam carving,” IEEE Transactions on Image Processing, 2016.
- L. Feng and B. Bhanu, “Semantic Concept Co-occurrence Patterns for Image Annotation and Retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 38, No. 4, April 2016.
- L. Feng, B. Bhanu, and J. Hearty, ”A software system for automated identification and retrieval of moth images based on wing attributes,” Pattern Recognition, Vol 51, March 2016.
- A. Zahedi, V. On, S. Lin, B.C. Bays, E. Omaiye, B. Bhanu and P. Talbot, “Evaluating cell processes, quality, and biomarkers in pluripotent stem cells using video bioinformatics” Plos One, 2016.
- X. Guan, B. Bhanu, P. Talbot and J-H Weng, “Extraction of blebs in human embryonic stem cell videos,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2015.
- A. Bianchi, B. Bhanu, V. Donovan, and A. Obenaus, Visual and contextual modeling for the detection of repeated mild traumatic brain injury", IEEE Transactions on Medical Imaging, 33(1), DOI: 10.1109/TMI.2013.2269317, 2014.
- A. Bianchi, B. Bhanu and A. Obenaus, Dynamic low-level context for the detection of mild traumatic brain injury", IEEE Transactions on Biomedical Engineering, 2014.
- N. Ghosh, Y. Sun, B. Bhanu, S. Ashwal, A. Obenaus, "Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images", Medical Image Analysis, 18(7), DOI: 10.1016/j.media.2014.05.002, 2014.
- B. X. Guan, B. Bhanu, P. Talbot, S. Lin, Bio-driven cell region detection in human embryonic stem cell assay", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(3), DOI: http://dx.doi.org/10.1109/TCBB.2014.2306836, 2014.
- A. Cruz, B. Bhanu and N. Thakoor, "Vision and attention theory based sampling for continuous facial emotion recognition", IEEE Transactions on Affective Computing, DOI: 10.1109/TAFFC.2014.2316151, 2014.
- A. L. Tambo, B. Bhanu, N. Luo, G. Harlow, Z. Yang, Integrated model for understanding pollen tube growth in video", 22nd Intern. Conf. on Pattern Recognition, 2014.
- V. Donovan, A. Bianchi, R. Hartman, B. Bhanu, M. J. Carson, and A. Obenaus, "Computational analysis reveals increased blood deposition following repeated mild traumatic brain injury", NeuroImage: Clinical, 1(1), pp. 18-28, DOI: 10.1016/j.nicl.2012.08.001, Sept. 2012.
- X. Guan, B. Bhanu, P. Talbot and S. Lin, Automatic human embryonic stem cell detection", IEEE Healthcare Informatics, Imaging & Sys. Biology Conf., San Diego, CA, Sept. 2012. Best Paper Award
- Y. Sun and B. Bhanu, Reflection symmetry integrated image segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(9), DOI:http://dx.doi.org/10.1109/TPAMI.2011.259, 2012.
- P. Talbot, N. zur Nieden, S. Lin, I. Martinez, B. Guan and B. Bhanu, "Use of video bioinformatic tools in stem cell toxicology", A Chapter in the Handbook on Nanotoxicology, Nanomedicine and Stem Cell Use in Toxicology by Saura C. Sahu and Daniel A. Casciano, June 2012.
- N. Ghosh, Y. Sun, C. Turenius, B. Bhanu, A. Obenaus, S. Ashwal, "Computational analysis: A bridge to translational stroke treatment", A chapter in book Translational Stroke Research: From Target Selection to Clinical Trials, Edited by Paul A. Lapchak and John H. Zhang, Springer 2012.
- N. Ghosh, R. Recker, A. Shah, B. Bhanu, S. Ashwal and A. Obenaus, Automated ischemic lesion detection in a neonatal model of hypoxic ischemic injury", J. Magnetic Resonance Imaging, 33, DOI: 10.1002/jmri.22488, 2011.
- S. Lin, S. Fonteno, S. Satish and B. Bhanu and P. Talbot, Video bioinformatics analysis of human embryonic stem cell colony growth", Journal of Visualized Experiments (JOVE), Issue 39, May 20, DOI: 10.3791/1933, 2010. (5 pages and associated 51MB video). http://www.jove.com/index/details.stp?id=1933
- P. Yin, B. Bhanu, K. Chang and A. Dong, Long term cross-session relevance feedback using virtual features", IEEE Transactions on Knowledge and Data Engineering, 20(3), pp. 352-368, DOI: 10.1109/TKDE.2007.190697, 2008.
- B. Bhanu, R. Li, J. Heraty and E. Murray, "Automated classification of skippers based on parts representation", American Entomologist, pp. 228-231, December 2008.