Sahar Sohangir is a PhD candidate in computer science at Florida Atlantic University with a GPA of 4.0. She has over 10 years of experience in research assistant roles developing machine learning and deep learning models. Some of her areas of research include document classification using improved similarity measures, enterprise search engines, predicting stock prices using sentiment analysis, and Twitter sentiment analysis. She has published papers in conferences like KDD and CIKM and has experience teaching and working as a software engineer.
Establishing a relevance focused culture in a large organizationTom Burgmans
For a relevance engineer one of the most difficult tasks in the tuning process is to convince others in the organization that this is a joint effort. Even the brightest search guru doesn't get very far when working in isolation, so establishing cross-collaboration through the organization is essential. But how to get there?
On top of that, in a large organization a relevance engineer often works on multiple seemingly unrelated search projects. The challenge is not to get drowned in building custom solutions for each project, but to design generic and re-usable strategies which solve many problems at once.
In this session we'll discuss how to build a widely supported basis for search quality improvements in an organization. It is full of practical tips and examples which could help you in establishing a cross-functional culture that is optimal for relevance tuning. It also zooms in on an holistic approach of solving multiple equivalent search issues at once.
Abstract—Composing a scientific workflow from scratch may be time-consuming, even if the scientist is fully aware of the semantics, the inputs, and the outputs of the expected workflow.
Reusing existing services and parts from already composed workflows can aid in reducing the total workflow composition time. However, matching the semantics and the inputs and outputs of these reusable components manually is not an easy task, especially when there are hundreds of such components available. Even components are annotated with information on the semantics of their inputs and outputs, the complex nature of the semantic languages may make manual component selection even harder. In this paper, we propose a Case-Based Reasoning (CBR) approach to assist composition of workflows based on the characteristics of the inputs and the outputs of the reusable workflow components, facilitating user exploitation of existing services and workflows during workflow composition. The architecture can also be extended to utilize the semantics of the various components improving the precision of the identified reusable components.
Enroll for the most demanding skill in the world now. In the first place, Data Science Training in Chennai from Softlogic will take your career to a new height. Secondly, we offer you an amazing platform to study and explore the subject from experts. Additionally, we offer Python, R, and machine learning data science courses.
Establishing a relevance focused culture in a large organizationTom Burgmans
For a relevance engineer one of the most difficult tasks in the tuning process is to convince others in the organization that this is a joint effort. Even the brightest search guru doesn't get very far when working in isolation, so establishing cross-collaboration through the organization is essential. But how to get there?
On top of that, in a large organization a relevance engineer often works on multiple seemingly unrelated search projects. The challenge is not to get drowned in building custom solutions for each project, but to design generic and re-usable strategies which solve many problems at once.
In this session we'll discuss how to build a widely supported basis for search quality improvements in an organization. It is full of practical tips and examples which could help you in establishing a cross-functional culture that is optimal for relevance tuning. It also zooms in on an holistic approach of solving multiple equivalent search issues at once.
Abstract—Composing a scientific workflow from scratch may be time-consuming, even if the scientist is fully aware of the semantics, the inputs, and the outputs of the expected workflow.
Reusing existing services and parts from already composed workflows can aid in reducing the total workflow composition time. However, matching the semantics and the inputs and outputs of these reusable components manually is not an easy task, especially when there are hundreds of such components available. Even components are annotated with information on the semantics of their inputs and outputs, the complex nature of the semantic languages may make manual component selection even harder. In this paper, we propose a Case-Based Reasoning (CBR) approach to assist composition of workflows based on the characteristics of the inputs and the outputs of the reusable workflow components, facilitating user exploitation of existing services and workflows during workflow composition. The architecture can also be extended to utilize the semantics of the various components improving the precision of the identified reusable components.
Enroll for the most demanding skill in the world now. In the first place, Data Science Training in Chennai from Softlogic will take your career to a new height. Secondly, we offer you an amazing platform to study and explore the subject from experts. Additionally, we offer Python, R, and machine learning data science courses.
Want to move your career forward? Looking to build your leadership skills while helping others learn, grow, and improve their skills? Seeking someone who can guide you in achieving these goals?
You can accomplish this through a mentoring partnership. Learn more about the PMISSC Mentoring Program, where you’ll discover the incredible benefits of becoming a mentor or mentee. This program is designed to foster professional growth, enhance skills, and build a strong network within the project management community. Whether you're looking to share your expertise or seeking guidance to advance your career, the PMI Mentoring Program offers valuable opportunities for personal and professional development.
Watch this to learn:
* Overview of the PMISSC Mentoring Program: Mission, vision, and objectives.
* Benefits for Volunteer Mentors: Professional development, networking, personal satisfaction, and recognition.
* Advantages for Mentees: Career advancement, skill development, networking, and confidence building.
* Program Structure and Expectations: Mentor-mentee matching process, program phases, and time commitment.
* Success Stories and Testimonials: Inspiring examples from past participants.
* How to Get Involved: Steps to participate and resources available for support throughout the program.
Learn how you can make a difference in the project management community and take the next step in your professional journey.
About Hector Del Castillo
Hector is VP of Professional Development at the PMI Silver Spring Chapter, and CEO of Bold PM. He's a mid-market growth product executive and changemaker. He works with mid-market product-driven software executives to solve their biggest growth problems. He scales product growth, optimizes ops and builds loyal customers. He has reduced customer churn 33%, and boosted sales 47% for clients. He makes a significant impact by building and launching world-changing AI-powered products. If you're looking for an engaging and inspiring speaker to spark creativity and innovation within your organization, set up an appointment to discuss your specific needs and identify a suitable topic to inspire your audience at your next corporate conference, symposium, executive summit, or planning retreat.
About PMI Silver Spring Chapter
We are a branch of the Project Management Institute. We offer a platform for project management professionals in Silver Spring, MD, and the DC/Baltimore metro area. Monthly meetings facilitate networking, knowledge sharing, and professional development. For event details, visit pmissc.org.
Want to move your career forward? Looking to build your leadership skills while helping others learn, grow, and improve their skills? Seeking someone who can guide you in achieving these goals?
You can accomplish this through a mentoring partnership. Learn more about the PMISSC Mentoring Program, where you’ll discover the incredible benefits of becoming a mentor or mentee. This program is designed to foster professional growth, enhance skills, and build a strong network within the project management community. Whether you're looking to share your expertise or seeking guidance to advance your career, the PMI Mentoring Program offers valuable opportunities for personal and professional development.
Watch this to learn:
* Overview of the PMISSC Mentoring Program: Mission, vision, and objectives.
* Benefits for Volunteer Mentors: Professional development, networking, personal satisfaction, and recognition.
* Advantages for Mentees: Career advancement, skill development, networking, and confidence building.
* Program Structure and Expectations: Mentor-mentee matching process, program phases, and time commitment.
* Success Stories and Testimonials: Inspiring examples from past participants.
* How to Get Involved: Steps to participate and resources available for support throughout the program.
Learn how you can make a difference in the project management community and take the next step in your professional journey.
About Hector Del Castillo
Hector is VP of Professional Development at the PMI Silver Spring Chapter, and CEO of Bold PM. He's a mid-market growth product executive and changemaker. He works with mid-market product-driven software executives to solve their biggest growth problems. He scales product growth, optimizes ops and builds loyal customers. He has reduced customer churn 33%, and boosted sales 47% for clients. He makes a significant impact by building and launching world-changing AI-powered products. If you're looking for an engaging and inspiring speaker to spark creativity and innovation within your organization, set up an appointment to discuss your specific needs and identify a suitable topic to inspire your audience at your next corporate conference, symposium, executive summit, or planning retreat.
About PMI Silver Spring Chapter
We are a branch of the Project Management Institute. We offer a platform for project management professionals in Silver Spring, MD, and the DC/Baltimore metro area. Monthly meetings facilitate networking, knowledge sharing, and professional development. For event details, visit pmissc.org.
The Impact of Artificial Intelligence on Modern Society.pdfssuser3e63fc
Just a game Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?
This comprehensive program covers essential aspects of performance marketing, growth strategies, and tactics, such as search engine optimization (SEO), pay-per-click (PPC) advertising, content marketing, social media marketing, and more
1. Sahar Sohangir
Phone: +1 (561) 990 - 9875
Email: ssohangir2014@fau.edu
Education
PhD Candidate in Computer Science (GPA 4.0) Jan 2015 - now
Florida Atlantic University, Boca Raton, FL
M.S. in Software Engineering (GPA 3.8) Aug 2008 - Dec 2011
Science and Research University, Tehran, Iran
B.S. in Software Engineering (GPA 3.8) Aug 2002 - Jun 2006
Azad University, Tehran, Iran
Work Experience
Research Assistant
Jan2015 - Now
• Proposed a new and improved measure of similarity based on sqrt cosine similarity.
We implemented different classification and clustering algorithms such as K-means,
PCA, Symmetric NMF, Normalized cuts, and SVM with R to compare the perfor-
mance of our measure with that of the cosine similarity. Based on ANOVA and
Tukey’s test results, our measure outperforms both sqrt cosine similarity and cosine
similarity.
• Designed an effective enterprise search engine with the ability of crawling, indexing
and searching diverse content repository by using Nutch web crawler, Apach Solr,
and Tomcat.
• Adopted Deep Learning approach to predict the impact of investors sentiment on
stock market price. After evaluating different methods such as Doc2Vec, long short-
term memory(RNN) and Convolutional Neural Network (CNN) we found that CNN
is the best neural network method to predict investor sentiment.
• Performed Twitter sentiment analysis using Apache Spark in order to evaluate the
effectiveness of size of the vocabulary/word vector and feature selection analysis.
Based on the results of our experiment, feature selection techniques can be quite
effective in helping to alleviate issues associated with high dimensional datasets
within this domain.
Research Assistant
2010 - 2011
• Conducted research on service oriented architecture to effectively assign service
providers to best service consumers in order to use the maximum abilities of service
providers. Auction algorithm was proposed to achieve this goal.
• Implemented service assignment based on auction algorithm in Matlab and investi-
gated the improvement of performance and the quality of service in the new system.
2. Lecturer
2011 - 2013
• Taught database, data structure, algorithm, and C++ at Azad University
Software Engineer
2011 - 2013
• Worked as an IT manager in Home Base Tech (http://homebasetech-co.com).
• Design and Implement Integrated Software Management system for various compa-
nies. We also implemented an online test for new users to measure their speed and
ability to work with our ISM systems.(http://www.matinsystem.com/).
Experience with machine learning algorithms
• Random Forest, Gradient Boosted Trees, Support Vector Machine, Logistic Regres-
sion, Naïve Bayes, Feature Selection, and Dimensionality Reduction
• Deep Learning and Neural Networks
• Bagging and Boosting
• Natural Language Processing
Technical Expertise
• R, Python, Weka
• C/C++, JAVA
• PHP, ASP.Net, MySQL
Publications
• Sahar Sohangir, Dingding Wang, Anna Pomeranets. Deep Learning for Financial
Sentiment Analysis. Knowledge Discovery and Data Mining (KDD) 2016
• Sahar Sohangir, Dingding Wang, Document Understanding Using Improved Sqrt-
Cosine Similarity. International Conference on Semantic Computing (ICSC) 2017
• Dingding Wang, Sahar Sohangir, Tao Li. Update Summarization using Semi-Supervised
Learning Based on Hellinger Distance. Conference of Information and Knowledge
Management (CIKM) 2015
• Sahar Sohangir and MirAli Seyyedi. A New Method for Service Binding in Service
Oriented Architecture. Advance in Information Science and Service Science 2010
(Cited by 10)
• Sahar Sohangir and MirAli Seyyedi. A Service Binding Method using Forward
Auction. International Journal of Information Processing and Management 2011
(Cited by 3)
