Publications

Notes

  1. Click manuscripts’ titles to get to the paper itself.
  2. Advised students and postdocs are in italic.
  3. † (Marked with a dagger) Students that were not officially advised by Fishbain. Fishbain was involved in guidance in the study described in the specific manuscript.
  4. Impact factor is taken from the journal’s own report and journal’s quantile is extracted from The SCImago Journal & Country Rank (https://www.scimagojr.com).

Theses

  1. B. Fishbain, Data Fusion Methods for Fusing Thermal and Visual Range Video Sequences, M.Sc. Thesis, Tel-Aviv University, 06/2004. Advisor: Professor L.P. Yaroslavsky (In Memoriam)
  2. B. Fishbain, Real Time Methods for Restoration, Enhancement and Analysis of Videos with Applications in Intelligent Transportation Systems, PhD Thesis, Tel-Aviv University, 06/2008. Advisors: Professor L.P. Yaroslavsky (In Memoriam)

 

Refereed papers in professional journals

Published papers

  1. A. Ideses, L.P. Yaroslavsky, and B. Fishbain, “Real-Time 2D to 3D Video Conversion“, Journal of Real-Time Image Processing, 2(1):3-9, 2007. IF 2.9. Q2.
  2. Fishbain, L.P. Yaroslavsky, and I.A. Ideses “Real-time stabilization of long-range observation system turbulent video“, Journal of Real- Time Image Processing, 2(1):11-22, 2007. IF 2.9. Q2.
  3. P. Yaroslavsky, B. Fishbain, G. Shabat, and I.A. Ideses, “Super-resolution in turbulent videos: making profit from damage“, Optics Letters, 32(20):3038-3040, 2007. IF 3.1. Q1.
  4. Fishbain, L.P. Yaroslavsky, and I.A. Ideses, “Spatial, Temporal, and Inter-channel Image Data Fusion for Long-Distance Terrestrial Observation Systems“, Advances in Optical Technologies, Vol. 2008, Article ID 546808, 2008.
  5. Fishbain, I.A. Ideses, G.Shabat, B.G. Salomon, and L.P. Yaroslavsky, “Superresolution in color videos acquired through turbulent media“, Optics Letters, 34(5):587-589, 2009. IF 3.1. Q1.
  6. P. Yaroslavsky, G. Shabat, I.A. Ideses, B.G. Salomon, and B. Fishbain, “Non-uniform signal sampling, signal and image recovery from sparse data and the discrete sampling theorem“, Journal of Optical Society of America A., 26(3):566-575, 2009. IF 1.4. Q2.
  7. J. Griswold†, B. Fishbain, D.R. Ragland, and S. Washington, “Visual assessment of pedestrian crashes“, Accident Analysis and Prevention, 43(1):301-306, 2011. IF 5.7. Q1.
  8. S. Hochbaum and B. Fishbain, “Nuclear Threat Detection with Mobile Distributed Sensor Networks“, Annals of Operations Research, 187(1):45-63, 2011. IF 4.4. Q1.
  9. Fishbain and O. Grembeck†, “A Multi-Dimensional Clustering Algorithm for Studying Fatal Road Crashes“, Journal of Transportation and Statistics, 10(1):79-100, 2013.
  10. T. Yang†, B. Fishbain, D.S. Hochbaum, E.B. Norman, and E. Swanberg, “The Supervised Normalized Cut Method for Detecting, Classifying, and Identifying Special Nuclear Materials“, INFORMS Journal on Computing, 26(1):45-58, 2014. IF 2.3. Q1.
  11. S. Molchanov, I. Levy, Y. Etzion, U. Lerner, D.M. Broday, and B. Fishbain, “On the feasibility of measuring urban air-pollution by wireless distributed sensor networks“, Science of the Total Environment, 502:537-547, 2015. IF 8.2. Q1.
  12. Lerner, T. Yacobi, I. Levy, S. Moltchanov, and B. Fishbain, “The effect of ego-motion on Environmental Monitoring“, Science of the Total Environment, 533:8-16, 2015. IF 8.2. Q1.
  13. N. Avni, B. Fishbain, and U. Shamir, “Water consumption patterns as a basis for water demand modeling“, Water Resource Research, 51(10):8165-8181, 2015. IF 4.6. Q1.
  14. S. Moshenberg, U. Lerner, and B. Fishbain, “Spectral Methods for Imputation of Missing Air Quality Data“, Environmental Systems Research, 4(26):1-13, 2015.
  15. Y. Goldfeld, O. Rabinovitch, B. Fishbain, T. Quadflieg, and T. Gries, “Sensory Carbon Fiber-based Textile-Reinforced Concrete for Smart Structures“, Journal of Intelligent Material Systems and Structures, 27(4):469-489, 2016. IF 2.4. Q2.
  16. B. Fishbain, D.S. Hochbaum, and S. Mueller†, “A competitive study of the pseudoflow algorithm for the minimum s-t cut problem in vision applications“, Journal of Real-Time Image Processing, 11:589-609, 2016. IF 2.9. Q2.
  17. B. Fishbain and E. Moreno-Centeno, “Self-Calibrated Wireless Distributed Environmental Sensory Networks“, Scientific Reports, 6:24382; doi: 10.1038/srep24382, 2016. IF 3.8. Q1.
  18. G. Raviv, B. Fishbain, and A. Shapira, “Analyzing risk factors in crane- related near-miss and accident reports“, Safety Science, 91:192-205, 2017. IF 4.7. Q1.
  19. G. Raviv, A. Shapira, and B. Fishbain, “AHP-based analysis of the risk potential of safety incidents: Case study of cranes in the construction industry”, Safety Science, 91:298-309, 2017. IF 4.7. Q1.
  20. B. Fishbain, U. Lerner, T. Cole-Hunter, N. Castell, O. Popoola, D.M. Broday, T. Martinez Iñiguez, M. Nieuwenhuijsen, M. Jovasevic-Stojanovic, D. Topalovic, R.L. Jones, K. Galea, Y. Etzion, F. Kizel, Y.N. Golumbic, A .Baram-Tsabari, J.A. Robinson, D. Kocman, M. Horvat, V. Svecova, A. Arpaci, and A. Bartonova, “An Evaluation Tool Kit of Air Quality Micro-Sensing Units“, Science of the Total Environment, 575(1):639-648, 2017. IF 8.2. Q1.
  21. N. Castell, F.R. Dauge, P. Schneider, M. Vogt, U. Lerner, B. Fishbain, D.M. Broday, and A. Bartonova, “Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?“, Environment International, 99:293-302, 2017. IF 10.3. Q1.
  22. D. Frolich, D. Vizel-Ohayon, and B. Fishbain, “Prediction of Bacterial Contamination Outbursts in Water Wells through Sparse Coding“, Scientific Reports, 7:799, 2017. IF 3.8. Q1.
  23. Y.N. Golumbic, D. Orr, A. Baram-Tsabari, and B. Fishbain, “Between Vision and Reality: A Case Study of Scientists’ Views on Citizen Science“, Citizen Science: Theory and Practice, 2(1/6):1-13, 2017. Q1.
  24. F. Kizel, Y. Etzion, R. Shafran-Nathan, I. Levy, B. Fishbain, A. Bartonova, and D.M. Broday, “Node-to-node field calibration of wireless distributed air pollution sensor network“, Environmental Pollution, 233:900-909, 2018. IF 7.6. Q1.
  25. T. Asheri Arnon, S. Ezra, and B. Fishbain, “Contamination Detection of Water with Varying Routine Backgrounds by UV-Spectrophotometry“, Journal of Water Resources Planning and Management, 144(9):04018056, 2018. IF 3. Q1.
  26. A. Nebenzal and B. Fishbain, “Long Term Forecasting of Nitrogen Dioxide in Metropolitan Areas Using the Discrete Time Markov Model“, Environmental Modeling and Software, 107:175-185, 2018. IF 4.8. Q1.
  27. S. Kendler, I. Ron, S. Cohen, R. Raich, Z. Mano, and B. Fishbain, “Detection and Identification of Sub-Millimeter Films of Organic Compounds on Environmental Surfaces Using Short-Wave Infrared Hyperspectral Imaging: Algorithm Development Using a Synthetic Set of Targets“, IEEE Sensors Journal, 19(7):2657-2664, 2019. IF 4.3. Q1.
  28. U. Lerner, O. Hirshfeld†, and B. Fishbain, “Optimal Deployment of a Heterogeneous Environmental Sensor Network“, Journal of Environmental Informatics, 34(2):99-107, 2019. IF 10.22. Q1.
  29. N. Golumbic, B. Fishbain, and A. Baram-Tsabari, “User centered design of a citizen science air-quality monitoring project“, International Journal of Science Education, Part B, 9(3):195-213, 2019. IF 1.4. Q2.
  30. T. Asheri Arnon, S. Ezra and B. Fishbain, “Water Characterization and Early Contamination Detection in Highly Varying Stochastic Background Water based on Machine Learning Methodology for processing Real-Time UV-Spectrophotometry“, Water Research, 155:333-342, 2019. IF 11.4. Q1.
  31. S. Kendler, R. Aharoni, S. Cohen, R. Raich, S. Weiss, H. Levy, Z. Mano, B. Fishbain, and I. Ron, “Non-contact and non-destructive detection and identification of Bacillus anthracis inside paper envelopes“, Forensic Science International, 301:e55-e58, 2019. IF 2.2. Q1.
  32. O. Cahan, U. Lerner, B. Fishbain, and M. Bursztyn, “Blood Pressure variability is associated with heart rate in a large outpatient population“, Journal of Hypertension, 37(p):e194, 2019. IF 4.9. Q1.
  33. A. Nebenzal, B. Fishbain, and S. Kendler, “Model-based dense air pollution maps from sparse sensing in multi-source scenarios“, Environmental Modeling & Software, 128:104701, 2020. IF 4.8. Q1.
  34. T. Richter†, B. Fishbain, A. Markus, G. Richter-Levin, and H. Okon-Singer, “Using machine learning-based analysis for behavioral differentiation between anxiety and depression“, Scientific Reports, 10:16381, 2020. IF 3.8. Q1.
  35. Y.N. Golumbic, A. Baram-Tsabari, and B. Fishbain, “Science literacy in action: Understanding scientific data presented in a citizen science platform by non-expert adults“, International Journal of Science Education Part B: Communication and Public Engagement, 10(3): 232-247, 2020.‏ IF 1.4. Q2.
  36. S. Kendler and B. Fishbain, “Crime Scene Investigation using Hyperspectral Imaging-Opportunities and Challenges“, International Journal of Forensic Sciences, 5(4):000205, 2020. IF 2.3. Q1.
  37. S. Kendler, A. Nebenzal, D. Gold†, P.M. Reed, and B. Fishbain, “The effects of air pollution sources / sensor array configurations on the likelihood of obtaining accurate source term estimations“, Atmospheric Environment, 246:117754, 2021. IF 4.2. ‏Q1.
  38. R. Aharoni, V. Klymiuk, B. Sarusi, S. Young, T. Fahima, B. Fishbain, and S. Kendler, “Spectral light-reflection data dimensionality reduction for timely detection of yellow rust“, Precise Agriculture, 22:267-286, 2021. IF 5.4. Q1.
  39. Y. Salzer, H.H. Honig, R. Shaked, E. Abeles, A. Kleinjan-Elazary, K. Berger, S. Jacoby, B. Fishbain, and S. Kendler, “Towards on-site automatic detection of noxious events in dairy cows“, Applied Animal Behavior Science, 236:105260, 2021. IF 2.2. Q1.
  40. T. Richter†, B. Fishbain, G. Richter-Levin, and H. Okon-Singer, “Machine-learning-based behavioral diagnostic tools for depression: Advances, challenges, and future directions“, Journal of Personalized Medicine, 11(10): 2075-4426, 2021. IF 3. Q2.
  41. T. Richter†, B. Fishbain, E. Fruchter, G. Richter-Levin, and H. Okon-Singer, “Machine learning-based diagnosis support system for differentiating between clinical anxiety and depression disorders“, Journal of Psychiatric Research, 141:199-205., 2021. IF 3.7. Q1.
  42. S. Kendler, R. Aharoni, S. Young, H. Sela, T. Kis-Papo, T. Fahima, and B. Fishbain, “Detection of Crop Diseases Using Enhanced Variability Imagery Data and Convolutional Neural Networks“, Computers and Electronics in Agriculture, 193:106732, 2021. IF 7.7. Q1.
  43. O. Vernik, A. Degani, and B. Fishbain, “Mathematical Estimation of Particulate Air Pollution Levels by Aerosols Tomography“, IEEE Sensors Journal, 22(9):8274-8281, 2022 (featured article). IF 4.3. Q1.
  44. S. Kendler and B. Fishbain, “Optimal Wireless Distributed Sensor Network Design and Ad-Hoc Deployment in a Chemical Emergency Situation“, Sensors, 22(7):2563, 2022. IF 3.4. Q1.
  45. Z. Mano, S. Kendler, and B. Fishbain, “Information Theory Solution Approach to the Air Pollution Sensor Location-Allocation Problem“, Sensors, 22:3808, 2022. IF 3.4. Q1.
  46. G. Perelman† and B. Fishbain, “Critical Elements Analysis of Water Supply Systems to Improve Energy Efficiency in Failure Scenarios“, Water Resources Management, 36(10):3797-3811, 2022. IF 3.9. Q1.
  47. T. Elmakis†, T. Shaked, B. Fishbain, and A. Degani, “BREEZE—Boundary Red Emission Zone Estimation Using Unmanned Aerial Vehicles“, Sensors, 22:5460, 2022. IF 3.4. Q1.
  48. S. Kendler, Z. Mano, R. Aharoni, R. Raich, and B. Fishbain, “Hyperspectral imaging for chemicals identification: a human-inspired machine learning approach“, Scientific Reports, 12:17580, 2022. IF 3.8. Q1.
  49. N. Ginio, D. Liberzon, M. Lindenbaum, and B. Fishbain, “Efficient machine learning method for spatio-temporal water surface waves reconstruction from polarimetric images“, Measurement science and Technology, 34(5): 055801, 2023. IF 2.7. Q2.
  50. G. Perelman†, A. Ostfeld, and B. Fishbain, “Robust Optimal Operation of Water Distribution Systems“, Water, 15(5):963, 2023. IF 3. Q1.
  51. A. Feldman, S. Kendler, J. Marshall, M. Kushwaha, V. Sreekanth, A.R. Upadhya, P. Agrawal, and B. Fishbain, “Urban air-quality estimation using visual cues and a Deep Convolutional Neural Network in Bengaluru (Bangalore), India“, Environmental Science and Technology, 58(1):480-487, 2024. IF 11.7. Q1.
  52. I. Jeffrey, I. Hollis, R. Raich, J. Kim, B. Fishbain, and S. Kendler, “Identifiable Solutions to Foreground Signature Extraction from Hyperspectral Images in an Intimate Mixing Scenario“, IEEE Transactions on Signal Processing, 72:4081-4097, 2024. IF 5.0. Q1.
  53. O. Aloni, G. Perelman†, and B. Fishbain, “Synthetic Random Environmental Time Series Generation with Similarity Control, Preserving Original Signal’s Statistical Characteristics“, Environmental Modeling and Software, 185:106283, 2025. IF 4.8. Q1.
  54. S. Cohen and B. Fishbain, “Advancing Metaverse’s Experience through Optimization of Players’ Decisions“, International Journal of Information Management Data Insights, 5(1):100316, 2025. IF 20.1. Q1.
  55. N. Ginio, M. Lindenbaum, B. Fishbain, and D. Liberzon, “Dataset of Polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear“, Data in Brief, 58:111267, 2025. IF 1.0. Q3.
  56. G. Perelman†, L. Xing, M. Housh, V. Kandiah, B. Fishbain, and E. Shafiee, “Greedy Budget Allocation for Optimizing the Performance of Water Distribution Systems Under Intermittent Supply Conditions“, Journal of Water Resources Planning and Management, 151(7):04025018, 2025. IF 3. Q1.
  57. N. Ginio, M. Lindenbaum, B. Fishbain, and D. Liberzon, “Wave (from) Polarized Light Learning (WPLL) method: high resolution spatio-temporal measurements of water surface waves in laboratory setups“, Applied Ocean Research, 155:104457, 2025. IF 4.3. Q1.

Accepted (or in press) papers

  1. A. Geltman, I. Levy, and B. Fishbain, “Machine Education Approach for Generating Accurate NO2 and PM2.5 Dense Pollution Maps in Israel“, Environmental Science and Technology: Air. 2025.

Submitted papers

  1. A. Feldman, S. Kendler, E. Pisoni, B. Fishbain, “Ridiculously Simple Data-Driven Air Pollution Interpolation Method“, Environmental Modeling and Software.
  2. D. Ettlinger-Levy, S. Kendler, I. Meiri Ashkenazib, S. Tal, and B. Fishbain, “Optimized Aquaculture Feeding Through Matched Filter Audio Signal Processing and Machine Learning“, Computers and Electronics in Agriculture

Books

Monographs and textbooks

  1. B. Fishbain, Surveillance, Monitoring and Traffic Video Systems, VDM-Verlag Pub., Berlin, Germany, pp. 160, 2009. ISBN: 978-3-639-15240-1.

Chapters in books

  1. B. Fishbain, “Framework for Analyzing Environmental Indicators Measurements Acquired by Wireless Distributed Sensory Network – Air Pollution showcase“, Environmental Indicators (Eds. R. Armon & O. Hänninen), 207-223, Springer, 2015.

Refereed papers in conference proceedings

  1. S. Gepshtein, A. Shtainman, B. Fishbain, and L.P. Yaroslavsky, “Restoration of atmospheric turbulent video containing real motion using elastic image registration“, Proc. the 2004 European Signal Processing Conference (EUSIPCO-2004), 477-480, Vienna, Austria, 6-10 September 2004.
  2. L.P. Yaroslavsky, B. Fishbain, A. Shteinman, and Sh. Gepshtein, “Processing and Fusion of Thermal and Video Sequences for Terrestrial Long Range Observation Systems“, Proc. the 7th International Conference on Information Fusion, 848-855, Stockholm, Sweden, June 2004.
  3. I.A. Ideses, L.P. Yaroslavsky, I. Amit, and B. Fishbain, “Depth map Quantization how much is Sufficient?“, Proc. 3DTV-Conference, Capture, Transmission and Display of 3D Video, 1-4, Kos Island, Greece, 7-9 May 2007.
  4. B. Fishbain, L.P. Yaroslavsky, and I.A. Ideses, “Real Time Turbulent Video Perfecting by Image Stabilization and Super-resolution“, Proc. 7th IASTED International Conference on Visualization, Imaging, and Image Processing (VIIP 2007), 213-218, Palma de Mallorca Spain, 29-31 August 2007.
  5. I.A. Ideses, L.P. Yaroslavsky and B. Fishbain, “Depth Maps: Faster, Higher and Stronger?“, Proc. Three-Dimensional Image Capture and Applications/Electronic Imaging 2008, SPIE 6805:1-11, San- Jose, CA, USA, 28 January – 1 February 2008.
  6. L.P. Yaroslavsky, A. Agranovich, B. Fishbain, and I.A. Ideses, “Precise differentiation can significantly improve the accuracy of optical flow measurements“, Proc. Image Processing: Algorithms and Systems VI/Electronic Imaging 2008, SPIE 6812:11-19, San-Jose, CA, USA, 28 January – 1 February 2008.
  7. L.P. Yaroslavsky, G. Shabat, B. Fishbain, and I.A. Ideses, “Super- Resolution of Turbulent Video: Potentials and Limitations“, Proc. Image Processing: Algorithms and Systems VI/Electronic Imaging 2008, SPIE 6812:5-13, San-Jose, CA, USA, 28 January – 1 February 2008.
  8. B.Fishbain, L.P. Yaroslavsky, I.A. Ideses, and F. Roffet-Crete, “No-Reference Method for Image Effective Bandwidth Estimation“, Proc. Image Quality and System Performance V/Electronic Imaging 2008, SPIE 6808:0X-1 – 0X-11, San-Jose, CA, USA, 28 January – 1 February 2008.
  9. B. Fishbain, L.P. Yaroslavsky, and I.A. Ideses, “Real Time Turbulent Video Super-Resolution Using MPEG 4“, Proc. Real-Time Image Processing/Electronic Imaging 2008, SPIE 6811:6-9, San-Jose, CA, USA, 28 January – 1 February 2008.
  10. I.A. Ideses, L.P. Yaroslavsky, and B. Fishbain, “Depth Map Manipulation for 3D Visualization“, Proc. IEEE 3DTV Conference, 337-340, Istanbul Turkey, 28-30 May 2008.
  11. I.A. Ideses, L.P. Yaroslavsky, and B. Fishbain, “Real-Time Depth Map Manipulation for 3D Visualization“, Proc. Real-time Image and Video Processing/Electronic Imaging 2009, SPIE 7244:72440J-1 – 72440J-8, San-Jose, CA, USA, 18-22 January 2009.
  12. B. Fishbain, I.A. Ideses, D. Mahalel, and L.P. Yaroslavsky, “Real-Time Vision-Based Traffic Flow Measurements and Incident Detection“, Proc. Real-time Image and Video Processing/Electronic Imaging 2009, SPIE 7244: 72440I-1 – 72440I-12, San-Jose, CA, USA, 18-22 January 2009.
  13. B. Fishbain, Y.T. Yang†, and D.S. Hochbaum, “Real-time, Robust Target Tracking in Videos via Graph-cuts“, Real-Time Image and Video Processing/Electronic Imaging 2013, SPIE 8656: 865602-1 – 865602-9, San-Francisco California, February 5-6, 2013.
  14. Y. Goldfeld, O. Rabinovitch, T. Quadflieg, B. Fishbain, and T. Gries, “Smart Textile Reinforced Concrete Sensory Structures“, 7th European Workshop on Structural Health Monitoring, La Cité, Nantes, France, July 8-11, 2014.
  15. G. Raviv, A. Shapira, and B. Fishbain, “Analyzing and modelling near misses in crane-work environments“, ARCOM Doctoral Workshop on Health, Safety and Wellbeing, Association of Researchers in Construction Management, pp. 37-51, Lincoln, UK, September 7-9, 2015.
  16. G. Raviv, A. Shapira and B. Fishbain, “Systematic Approach to Crane-Related Near-Miss Analysis“, 8th International Conference on Construction in the 21st Century, Thessaloniki, Greece, May 27-30, 2015.
  17. H-N Nguyen, Fishbain, E. Bitar, D. Mahalel, and P-O Gutman, “Dynamic Model for Estimating the Macroscopic Fundamental Diagram“, 14th IFAC Symposium on Control in Transportation Systems (CTS 2016), Istanbul, pp. 297-302, Turkey, May 18-20, 2016.
  18. Y.N. Golumbic, A. Baram-Tsabari, and B. Fishbain, “Increased knowledge and scientific thinking following participation of school students in air-quality research“, The 14th International Conference of Indoor Air Quality and Climate, Ghent, Belgium, July 3-8, 2016.
  19. S. Moshenberg, U. Lerner, and B. Fishbain, “Optimal Noise Filtering of Sensory Array Gaseous Air Pollution Measurements“, EnviroInfo, pp. 275-285, Berlin, Germany, Sep. 13-16, 2016.
  20. Y. Brack†, S. Scepanovic†, and B. Fishbain, “Mapping and optimizing big space data – an international, Interdisciplinary and intercultural perspective on the space related data processes“, 67th International Astronautic Congress, Guadalajara, Mexico, 26-30 September, 2016.
  21. A. Nebenzal and B. Fishbain, “Hough-based Interpolation Scheme for Generating Accurate Dense Spatial Maps of Air Pollutants from Sparse Sensing“, International Symposium on Environmental Software Systems (ISESS), Zadar, Croatia, May 10-12, 2017.
  22. B. Fishbain and E. Jaffe, “Initial Assessment of Air Pollution and Emergency Ambulance Calls in 35 Israeli Cities“, 31stInternational Conference EnviroInfo, Luxembourg, September 13-15, 2017.
  23. A. Nebenzal and B. Fishbain, “Hough-based Interpolation Scheme for Generating Accurate Dense Spatial Maps of Air Pollutants from Sparse Sensing“, International Symposium on Environmental Software Systems, Zadar, Croatia, 10-12 May, 2017.
  24. A. Nebenzal and Barak Fishbain, “Long Term Forecasting of Nitrogen Dioxide in Metropolitan Areas Using the Discrete Time Markov Model“, 9th International Congress on Environmental Modelling and Software, Fort Collins, CO, USA, June 24-28 2018.
  25. G. Perelman†, L. Xing, M. Housh, V. Kandiah, B. Fishbain, and E. Shafiee, “Optimizing the performance of water distributed system under intermittent supply conditions using a heuristic technique“, 2nd International Joint Conference on Water Distribution Systems Analysis & Computing and Control in the Water Industry, Valencia (Spain), 18-22 July 2022.

Patents granted

  1. I.A. Ideses, L.P. Yaroslavsky, B. Fishbain, and R. Vistuch, “Methods and Systems for Use in 3D Video Generation, Storage and Compression“, US Patent #20080205791, 28-8-2008.
  2. B. Fishbain, I.A. Ideses and L.P. Yaroslavsky, “An Apparatus and Method for Real-time Super-resolution which Incorporates the Family of ITU and MPEG Video Coding Standards“, US Patent #20100272184, 28-10-2010.
  3. T. Asheri, S. Ezra, and B. Fishbain, “Detecting Contaminants via Machine Learning”, US Provisional Patent #62/133,635, 18-3-2015.

Research reports and other publications

  1. B. Fishbain and Mehrubeoglu, Mehrube, “Editorial of the special issue on real-time vision-based motion analysis and intelligent transportation systems“, Journal of Real-Time Image Processing, 5(4):213-214, 2010.
  2. B. Fishbain, D. Hochbaum and Y.T. Yang†. “A new approach for real-time target tracking in videos“, SPIE Newsroom, DOI: 10.1117/2.1201301.004648, Jan 2013.
  3. Y.N. Golumbic, A. Baram-Tsabari, and B. Fishbain, “Citizen science: Public participation in scientific research” (Review), Ecology and the Environment, 6(1):14-23, 2015. (In Hebrew).
  4. J. Wachs, M. Mejail, B. Fishbain, and L. Alvarez, “Editorial of the special issue on Real-Time Image and Video Processing for Pattern Recognition Systems and Applications“, Journal of Real-Time Image Processing, 11(2):247-249, 2016.
  5. Y. N. Golumbic, A. Baram-Tsabari, and B. Fishbain, “Making Scientific Data Accessible to the Public“, Ecology and the Environment, 8(3):5-6, 2017. (In Hebrew).

CONFERENCES

Presenter is underlined. Students and postdocs are in Italic.

Plenary, keynote or invited talks

  1. B. Fishbain, “Urban air-quality estimation using visual cues and a Deep Convolutional Neural Network”, EnviroInfo 2023, Leibniz Supercomputing Centre (LRZ), Garching, Germany, October 11-13, 2023. Keynote.
  2. B. Fishbain, A. Feldman, O. Vernick, and S. Kendler, “Computer Vision and Artificial Intelligence for Surrogate Urban Air Pollution Sensing”, International Experts Summit on Applied Science, Engineering and Technology (IESASET2023), Tokoyo, Japan, September 11-13, 2023. Keynote
  3. B. Fishbain, Y.T. Yang† and D.S. Hochbaum, “Real-time, Robust Target Tracking in Videos via Graph-cuts”, Real-Time Image and Video Processing/Electronic Imaging 2013, San-Francisco California, February 5-6, 2013. Keynote.

Contributed Talks and Posters

  1. L.P. Yaroslavsky, B. Fishbain, I.A. Ideses, D. Slasky, and Z. Hadas, “Simple methods for real time stabilization of turbulent video”, ICO Topical Meeting on Optoinformatics, 138-140, Saint-Petersburg, Russia, 4-7 September 2006. (Oral)
  2. L.P. Yaroslavsky, I.A. Ideses, B. Fishbain, R. Vistuch, and L. Ridel, “3D Video from 2D MPEG streams, Methods and applications”, ICO Topical Meeting on Optoinformatics, 136-137, Saint-Petersburg, Russia, 4-7 September 2006. (Oral)
  3. B. Fishbain, L.P. Yaroslavsky, I.A. Ideses, A. Shtern, and O. Ben-Zvi, “Real-time stabilization of long-range observation system turbulent video”, Proc. Real-Time Image Processing/Electronic Imaging 2007, San-Jose, CA, USA, 28 January – 1 February 2007. (Oral)
  4. I.A. Ideses, L.P. Yaroslavsky, B. Fishbain and R. Vistuch, “3D video from compressed 2D video”, Proc. Stereoscopic Displays and Applications XVIII/Electronic Imaging, San-Jose, CA, USA, 28 January – 1 February 2007. (Oral)
  5. L.P. Yaroslavsky, G. Shabat, B. Fishbain, B. G. Salomon, and I. A. Ideses, “Non-uniform sampling, signal and image recovery from sparse data and the discrete sampling theorem”, Proc. Algorithms and Systems VII/Electronic Imaging 2009, San-Jose, CA, USA, 18-22 January 2009. (Oral)
  6. M. Mihailescu, B. Fishbain, D.S. Hochbaum, J. Maltz, C.J. Moore, J. Rohel, L. Supic and K. Vetter, “Dynamic stand-off 3D gamma-ray imaging”, 12th Symposium on Radiation Measurements and Applications (SORMA), University of Michigan – Ann Arbor, USA, 24-27 May, 2010. (Oral)
  7. Y.T. Yang†, B. Fishbain, D.S. Hochbaum, E.B. Norman and E. Swanberg “Multi-Pronged Approach for Detecting, Classifying and Identifying Special Nuclear Materials”, 12th INFORMS Computing Society Conference, Monterey, California, January 9-11, 2011. (Oral)
  8. B. Fishbain, D.S Hochbaum and S. Mueller†, “Competitive Analysis of Minimum-Cut Maximum Flow Algorithms in Vision Problems”, 12th INFORMS Computing Society Conference, Monterey, California, January 9-11, 2011. (Oral)
  9. B. Fishbain, Y.T. Yang† and D.S. Hochbaum, “Segmentation and Target Tracking Using Pseudoflow Algorithm Through Joint Utilization of Color and Coarse Motion Data”, 12th INFORMS Computing Society Conference, Monterey, California, January 9-11, 2011. (Oral)
  10. Y. Etzion, D.M. Broday, and B. Fishbain, “Analysis of image color and effective bandwidth as a tool for assessing air pollution at urban spatiotemporal scale”, Computational Imaging XI/Electronic Imaging 2013, San-Francisco California, February 5-6, 2013. (Oral)
  11. Y. Etzion, D.M. Broday, B. Fishbain, “Assessing PM Concentrations at Urban Spatiotemporal Scale by Image Analysis Based on the Image Effective Bandwidth Measure”, American Association for Aerosol Research 32nd Annual Conference, Portland Oregon, September 30- October 4, 2013. (Oral)
  12. D.M. Broday, B. Fishbain, Y. Etzion, I. Levy, “Evaluation of Low-Cost PM Sensors, Intended for Use in a Dense Monitoring Grid”, American Association for Aerosol Research 32nd Annual Conference, Portland Oregon, September 30-October 4, 2013. (Oral)
  13. Y. Shashank, I. Levy, B. Fishbain, and D.M. Broday, “Application of distributed sensor networks for estimating exposures to air pollution in urban areas”, Conference of ISEE, ISES and ISIAQ on Environment and Health, Basel, Switzerland August 19 – 23, 2013. (Oral)
  14. Y. Etzion, B. Fishbain, and D.M. Broday, “Assessing exposure to ambient air pollution at the urban temporal scale by analysis of image color and effective bandwidth”, Conference of ISEE, ISES and ISIAQ on Environment and Health, Basel, Switzerland, August 19 – 23, 2013. (Oral)
  15. N. Avni, B. Fishbain, and U. Shamir, “Pattern recognition in water demand data”, Proc. World Environmental & Water Resources Congress, Portland, OR, USA, June 1-5, 2014. (Oral)
  16. U. Lerner, T. Yacobi, I. Levy, S.A. Moltchanov, T. Cole-Hunter and B. Fishbain, “The effect of ego-motion on environmental monitoring”, EPScon 2015 conference, Weizmann Institute, Rehovot, Israel. (Oral)
  17. Y.N. Golumbic, A. Baram-Tsabari, and B. Fishbain, “Participation of schools in scientific air quality research”, Annual Science and Environment Conference, Hebrew University, Jerusalem, Israel, October 12-14, 2015. (Oral)
  18. N. Castell, U. Lerner, B. Fishbain, F. René Dauge, P. Schneider, M. Vogt and A. Bartonova, “Can low-cost sensors contribute to air quality assessment and citizen science?”, 1st International European Citizen Science Association (ECSA) Conference, Berlin, Germany, May 19-21, 2016. (Oral)
  19. Y.N. Golumbic, B. Fishbain and A. Baram-Tsabari, “Empowering citizens through citizen science. CITI-SENSE – The case study of Haifa, Israel”, 1st International European Citizen Science Association (ECSA) Conference, Berlin, Germany, May 19-21, 2016. (Oral)
  20. N. Avni, B. Fishbain, M. Housh, U. Shamir, “The Effect of Water Demand Uncertainty on Management of Regional Water Systems”, World Environmental & Water Resources Congress, West Palm Beach, FL, USA, May 22-26, 2016. (Oral)
  21. T. Yacobi, Y. Etzion and B. Fishbain, “Assessing PM ambient levels from a set of still images”, 2016 Annual convention of the Israel Society of Ecology and Environmental Sciences, Tel-Aviv, Israel, June 21-23, 2016. (Oral)
  22. A. Nebenzal and B. Fishbain, “Long Term Forecasting of NO2 in Metropolitan Areas Using the Discrete Time Markov Model”, 2016 Annual convention of the Israel Society of Ecology and Environmental Sciences, Tel-Aviv, Israel, June 21-23, 2016. (Oral)
  23. U. Lerner and B. Fishbain, “Sensor Evaluation Toolkit (SET) for assessing Micro Sensing Air Quality Units”, 2016 Annual convention of the Israel Society of Ecology and Environmental Sciences, Tel-Aviv, Israel, June 21-23, 2016. (Oral)
  24. Y.N. Golumbic, B. Fishbain and A. Baram-Tsabari, “Citizen guided design of Air Quality Information Dissemination System”, 2016 Annual convention of the Israel Society of Ecology and Environmental Sciences, Tel-Aviv, Israel, June 21-23, 2016. (Oral)
  25. T. Yacobi, Y. Etzion, R. Jayaratne, M.M. Rahman, L. Morawska and B. Fishbain, “Assessing Exposure to Ambient Fine Particulate Matter Based on Digital Imagery”, International Society for Environmental Epidemiology Conference 2016, Rome, Italy, September 1-4, 2016. (Oral)
  26. U. Lerner, O. Hirshfeld† and B. Fishbain, “Optimal Deployment of a Heterogeneous Environmental Sensor Network”, International Society for Environmental Epidemiology Conference 2016, Rome, Italy, September, 1-4, 2016. (Oral)
  27. T. Yacobi, Y. Etzion, R. Jayaratne, M.M. Rahman, L. Morawska and B. Fishbain, “Quality of Digital Images as Means of Ambient Fine PM Assessment”, 22nd European Aerosol Conference, Tours, France, September 4-9, 2016. (Oral)
  28. Y.N. Golumbic, B. Fishbain and A. Baram-Tsabari, “Presenting Scientific Data to Layman Users Practices”, 2017 Annual convention of the Israel Society of Ecology and Environmental Sciences, Tel-Aviv, Israel, June 21-23, 2016. (Oral)
  29. N. Avni, B. Fishbain and U. Shamir, “Regional Water Supply System Management Under Demand Uncertainty: Using Aggregation Rules to Derive an Operation Policy from Implicit Stochastic Programming Models”, World Environmental & Water Resources Congress, Sacremento, CA, USA, May 21-25, 2017. (Oral)
  30. L. Frolich and B. Fishbain, “Spectral Methods for the Analysis of Bacteria Counts in Water Wells”, World Environmental & Water Resources Congress, Sacremento, CA, USA, May 21-25, 2017. (Oral)
  31. L. Perlman-Sela and B. Fishbain, “Integrated information modeling for resilient water infrastructure systems”, World Environmental & Water Resources Congress, Sacremento, CA, USA, May 21-25, 2017. (Oral)
  32. D. Drahler and B. Fishbain, “Associations between exposure to different air pollutants and several blood pressure (BP) parameters”, ISEE Young 2018 Early Career Researchers Conference on Environmental Epidemiology, Freising, Germany, March 19-20, 2018. (Oral)
  33. T. Asheri, S. Ezra and B. Fishbain, “Algorithm for Early Contamination Detection in Water with Highly Varying Stochastic Backgrounds Based on UV-Spectrophotometer Measurements”, World Environmental & Water Resources Congress, Minneapolis, MN, USA, June 3-7, 2018. (Oral)
  34. A. Cominola, and B. Fishbain, “Combining water network models and machine learning methods in adaptive network models for resilient water infrastructure systems”, World Environmental & Water Resources Congress, Pittsburgh, PA, USA, May 19-23, 2019. (Oral)
  35. O. Cahan, U. Lerner and B. Fishbain, M. Bursztynm, “Blood Pressure Variability is Associated with Heart Rate in Large Outpatient Population”, 29th European Meeting on Hypertension and Cardiovascular Protection, Milan, Italy, June 21-24, 2019. (Oral)
  36. L.A. Torres-Matallana, U. Leopold and B. Fishbain, “Geostatistical space-time prediction of air quality pollutants in Israel”, Spatial Statistics, Sitges, Spain, July 10-13, 2019. (Oral)
  37. L.A. Torres-Matallana, U. Leopold and B. Fishbain, “Geostatistical analysis of air quality pollutants in Israel”, the European Colloquium on Theoretical and Quantitative Geography (ECTQG), Domaine Thermal of Mondorf-Les-Bains, Luxemburg, September 5-9, 2019. (Oral)
  38. O. Vernik and B. Fishbain, “Mathematical Estimation of Particulate Air Pollution Levels by Multi-angle Imaging”, Environmental & Health: Complex Interactions, Annual Conference of the Environmental & Health Fund, Tel-Aviv, Israel, December, 15, 2019. (Oral)
  39. I. Hollis, R. Raich, J. Kim, B. Fishbain and S. Kendler, “Foreground signature extraction for an intimate mixing model in hyperspectral image classification”, 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May 4-8, 2020. (Oral)
  40. O. Vernik and B. Fishbain, “Mathematical Estimation of Particulate Air Pollution in a 3D environment by Multi-angle Imaging”, 13th International Symposium on Environmental Software Systems, Wageningen, The Netherlands, February 5-7, 2020. (Oral)
  41. G. Perlman†, R. Elkayam and B. Fishbain, “Complex Water System Management in the Age of IoT”, World Environmental & Water Resources Congress, Henderson, NV, USA, May 17-21, 2020. (Oral)
  42. G. Perelman† and B. Fishbain, “Synthesizing water-related time series for simulation studies while maintaining the original signal’s statistical moments”, European Geoscience Union General Assembly, Vienna Austria, May 23-27, 2022. (Oral)
  43. B. Fishbain, Z. Mano, and S. Kendler, “Information theory solution approach for air-pollution sensors’ location-allocation problem”, European Geoscience Union General Assembly, Vienna Austria, May 23-27, 2022. (Oral)
  44. G. Perelman† and B. Fishbain, “Water-Energy Nexus Based Optimization of Water Distribution Systems Under Failure and Identification of Critical Components”, World Environmental & Water Resources Congress, Atlanta, GA, USA, June 5-8, 2022. (Oral)
  45. L. Khalifa and B. Fishbain, “Machine Education Approach for Finding Victims in Flash Flooding Events”, 2023 World Environmental & Water Resources Congress, Henderson, NV, USA, May 21-24, 2023. (Oral)
  46. A. Geltman and B. Fishbain, “Machine Education Approach for Country Scale High-Resolution Air Pollution Modelling”, iEMSs 2024 Biennial Conference, East Lansing MI, USA, June 23-27, 2024. (Oral)
  47. A. Feldman, S. Kendler and B. Fishbain, “Urban Air-Quality Estimation Using Visual Cues”, iEMSs 2024 Biennial Conference, East Lansing MI, USA, June 23-27, 2024. (Oral)
  48. N. Ginio, M. Lindenbaum, B. Fishbain and D. Liberzon, “Laboratory tool for spatio-temporal measurements of waves and slopes based on polarimetric sensing and Machine Learning”, 1st European Fluid Dynamics Conference (EFDC1), Aachen Germany, September 16-20, 2024. (Oral)
  49. L. Khalifa and B. Fishbain, “Deep Learning for Flood Modeling: Generalizing Across Terrain and Flood Event Variations”, 2025 World Environmental & Water Resources Congress, Anchorage AK, USA, May 18-21, 2025. (Oral)
  50. O. Aloni and B. Fishbain, “Synthetic Random Environmental Time Series Generation with Similarity Control, Preserving Original Signal’s Statistical Characteristics”, 2025 World Environmental & Water Resources Congress, Anchorage AK, USA, May 18-21, 2025. (Oral)
  51. S. Cohen, M. Housh and B. Fishbain, “WHALSIM: A Cyber-Physical Simulation Tool for Enhancing Cyber Security in Smart Water Systems”, 2025 World Environmental & Water Resources Congress, Anchorage AK, USA, May 18-21, 2025. (Oral)