• Ph.D. in Computer Science Washington University in St. Louis, Missouri, USA

• B.S. in Computer Science Washington University in St Louis, Missouri, USA

• B.A. in Mathematics, Minor in Arabic Washington University in St. Louis Missouri, USA

• Assistant Professor, University of Tehran, Tehran, Iran (2013-­Present)
• Technical Program Manager, Software Development Engineer, Amazon.com, Seattle, Washington (2010-2012)
• Program Manager, Microsoft Corporation, Bing.com. Redmond, Washington (2008-2010)
• Post­Doctoral Research Fellow, University of Tehran, Tehran, Iran (2008)

• Local Image Representations Using Pruned Salient Points with Applications to CBIR. Hui Zhang, Rouhollah Rahmani, Sharath Cholleti, Sally Goldman, 14th ACM International Conference on Multimedia (17% acceptance rate) (2006)
• Web­Based, Interactive, 2D/3D Medical Image Processing and Visualization Software, Seyyed Ehsan Mahmoudi, Alireza Akhondi­Asl, Rouhollah Rahmani, Shahrooz Faghih­Roohi, Vahid Teymouri, Ahmad Sabouri, Hamid Soltanian­Zadeh, Journal of Computer Methods and Programs in Biomedicine, Vol. 98, Issue 2, (2009)
• Localized Content­Based Image Retrieval, Rouhollah Rahmani, Sally A. Goldman, Hui Zhang, Sharath R. Cholleti, Jason E. Fritts. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, No. 11 (2008)
• Multiple Instance Learning for Image Search, Rouhollah Rahmani Doctoral Dissertation, Washington University in St. Louis (2008)
• MISSL: Multiple Instance Semi­Supervised Learning. Rouhollah Rahmani, Sally A. Goldman 23rd International Conference on Machine Learning (25.5% acceptance rate)(2006)
• Localized Content­Based Image Retrieval. Rouhollah Rahmani, Sally A. Goldman, Hui Zhang, John Krettek, Jason E. Fritts. 7th ACM International Workshop on Multimedia Information Retrieval (invited paper) (2005)
• A Novel Semi­inverse Solution Method for Elastoplastic Torsion of Heat Treated Rods, Majid Baniassadi, Akbar Ghazavizadeh, Rouhollah Rahmani, Karen Abrinia Meccanica, International Journal of Theoretical and Applied Mechanics, Vol. 45, No. 3 (2010)
• Automatic Segmentation of Putamen using Geometric Moment Invariants . Moustafa Jabarouti Moghaddam, Rouhollah Rahmani, Hamid Soltanian­Zadeh. 15th Iranian Conference on Biomedical Engineering (2009)
• MI­Winnow: A New Multiple­Instance Learning Algorithm , Sharath Cholleti, Sally Goldman, Rouhollah Rahmani, 18th IEEE International Conference on Tools with Artificial Intelligence (35% acceptance rate) (2006)
• A Policy­Driven Method for IT Infrastructure Selection in Power Distribution Automation System
  Alireza Fereidunian, Caro Lucas, Hamid Lesani, Rouhollah Rahmani, A.Wayne Wymore International Review of Electrical Engineering Journal, Vol. 4, No. 6 (2009)

•  Medical Imaging using Machine Learning, Post­ Doctoral Research Fellow Control & Intelligent Processing Center of Excellence, University of Tehran, Iran (2008­-2009)
  – Lead team of masters and doctoral students to develop algorithms with application to medical diagnosis.
  – Conducted and published research in blood cell image analysis, web­ based imaging software systems, and segmentation of the brain from MRI scans.• Multiple Instance Learning, Doctoral Research Assistant Computer Science Department, Washington University, St. Louis, Missouri (2002­-2008)
  – Conducted research and development in Multiple Instance learning, a division of Artificial Intelligence
  – Developed algorithms with applications to image retrieval (CBIR) and pharmaceutical drug discovery
  – Developed GEM­DD algorithm. Results compete with the top Multiple Instance algorithms
  – Developed MISSL, one of the first algorithms to combine Multiple Instance and semi­supervised learning
  – Developed new image representation to significantly improve retrieval accuracy in CBIR systems
  – Independently designed and implemented Accio! CBIR system code base, now among the top image retrieval systems in the world
  – Coordinated with 2 advisors and 7 students
  • Computer Aided Diagnosis, Medical Image Search, Doctoral Research Assistant Electronic Radiology Lab, School of Medicine, Washington University, St. Louis, Missouri (2005­2007)
  – Conducted joint project between machine learning lab and Electronic Radiology Lab to develop algorithms for computer aided diagnosis.
  – Analyzed and worked to develop image representations appropriate for general diagnosis on MRI images.
  – Worked on project to combine a set of experts, both human and computer, to better segment disease nodules.
  – Participated in weekly joint lab journal club.

  • Protein­-Protein Binding Simulation, Doctoral Research Assistant  Computer Science Department, Washington University, St. Louis, Missouri (2006-­2007)
  – Developed learning algorithm for clustering protein­protein binding paths.
  – Combined and extended work from molecular biology, and robotic path planning
  – The path clusters aid biologists to determine biological similarities and visualize a large set of paths.
  – Project serves as base for developing algorithms to simulate high dimensional protein­protein binding.
  • Reinforcement Learning, Undergraduate Researcher Computer Science Department, Washington University, St. Louis, Missouri (2001­2002)
  – Performed research and development in Reinforcement Learning, a division of Artificial Intelligence, with specific focus on convergent value function approximation in continuous state spaces
  – Conducted applied research enabling robots to learn in complex state spaces, such as real world environment, using feasible computational power and memory footprint
  – Explored function approximation techniques for interpolation of discrete points in a continuous state space
  – Developed and tested heuristic methodology for safe interpolation of data points in reinforcement learning

• Talk & Demo: “MISSL: Multiple Instance Semi Supervised Learning”. 23rd International Conference on Machine Learning (Pittsburgh, Pennsylvania) (2006)
• Talk & Demo: “Accio! Localized Content Based Image Retrieval”. Waseda University (Tokyo, Japan) (2005). University of Electro­Communications (Tokyo, Japan) (2005). National University of Singapore (Singapore) (2005). 7th ACM SIGMM International Workshop on Multimedia (Singapore) (2005)

• IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)

Reviewer for article submitted for publication.

• IEEE Transactions on Knowledge and Data Engineering (2009)

-Reviewer for article submitted for publication.

• Journal of Pattern Recognition (2009)

-Reviewer for article submitted for publication.

• Journal of Machine Learning Research (2005)

-Co­reviewed 2 articles submitted for publication.

• IEEE Transactions on Neural Networks (2005)

-Co­reviewed article submitted for publication.

• Improving CBIR Accuracy through Semi­Supervised Learning (2007)

-Principle Investigators: Sally Goldman

-Proposal, National Science Foundation (recommended for funding)

• Knowledge­Based Image Segmentation through Machine Learning (2007)

-Principle Investigators: Sally Goldman, Jason Fritts

-Proposal, National Science Foundation (recommended for funding)

• Applying Multiple­Instance Learning to Content­Based Image Retrieval (2005)

-Principle Investigator: Sally Goldman

-Annual Report 0329241, National Science Foundation

•  Technical Writing in English, School of Electrical & Computer Engineering, (2008)
  – Master and Doctoral level course
  – Challenging course – the goal was to teach writing excellence in English to foreign language students.
  -Developed course material set and taught 3 hours/week
  -Received excellent reviews from students and colleagues
• Advanced Algorithms, Department of Computer Science,Washington University, St. Louis, Missouri (2006)
  – Graduate level course.
  – Prepared and taught weekly recitation section ­ 3 hours/week class time
  – Held weekly office hours and helped run grading sessions
  – Received high evaluation scores from students
• Engineering and Scientific Computing, Department of Computer Science, Washington University, St. Louis, Missouri(2007)
  -Conducted weekly MATLAB laboratory section – 1.5 hours/week.
  – Held weekly office hours and helped run grading sessions
• Beginning Persian I, Department of Near Eastern Languages,Washington University, St. Louis, Missouri (2005)
  – Prepared and taught cultural section on Persian culture and language ­ 1 hour/week class time
  – Received high evaluation scores from students

• Dean’s Honorary Scholarship
• E. & Goldie G. Millstone Scholarship
• Dean’s List
• Bausch and Lomb Award
• AP Scholar with Honors