Faculty Board

EDUCATION
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Ph.D. in Computer Science Washington University in St. Louis, Missouri, USA
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B.S. in Computer Science Washington University in St Louis, Missouri, USA
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B.A. in Mathematics, Minor in Arabic Washington University in St. Louis Missouri, USA
PROFESSIONAL EXPERIENCE
- 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)
ARTICLES
- 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)
RESEARCH
- 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
TALKS AND DEMONSTRATION
- 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)
PROFESSIONAL ACTIVITIES
- 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.
GRANT PROPOSALS (COAUTHOR)
- 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
TEACHING EXPERIENCE
- 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
REWARDS AND HONORS
- Dean’s Honorary Scholarship
- E. & Goldie G. Millstone Scholarship
- Dean’s List
- Bausch and Lomb Award
- AP Scholar with Honors