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Wendsday 20 October 2021




Mohammad ehsan Basiri

Assistant Professor

Computer Engineering

Faculty of Technology and Engineering

Tel: 038-32322305

basiri@sku.ac.ir

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Research Interest
   AI: Artificial Intelligence (AI) is a research field aims at understanding intelligent behavior and building intelligent systems.
   Data minig: It is an interdisciplinary subfield of computer science that aims at designing computational process of discovering patterns in large data sets. It combines methods from artificial intelligence, machine learning, statistics, and database systems.
   NLP: Natural language processing (NLP) is a sub-field of computer science, artificial intelligence, and linguistics aims at enabling computers to derive meaning from human or natural language input. It concerns with the interactions between computers and human (natural) languages.
   Sentiment Analysis: Sentiment analysis, also known as opinion mining, uses natural language processing, text analysis and computational linguistics to identify and extract subjective information in source from text. It aims at determining the attitude of a writer toward a topic or the overall polarity of a document.
   ML: Machine learning (ML) is a sub-field of computer science and artificial intelligence. It aims at exploring the construction and study of algorithms to learn from data.

Academic Resume
   Phd, Computer Engineering, University of Isfahan, Iran، Graduation Date: 2014
   Master, Computer Engineering, University of Isfahan, Iran، Graduation Date: 2008
   Bachelor, Computer Engineering, Shiraz University, Iran، Graduation Date: 2006

Publications
International Journal
1. Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar, Erik Cambria, U Rajendra Acharya, ABCDM: An attention-based bidirectional CNN-RNN deep model for sentiment analysis , Future Generation Computer Systems, Elsevier, 2021
2. Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar, Somayeh Asadi, U Rajendra Acharrya, A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets , Knowledge-Based Systems, Elsevier, 2021
3. Ali Rezaei Nasab, Mojtaba Shahin, Peng Liang, Mohammad Ehsan Basiri, Seyed Ali Hoseyni Raviz, Hourieh Khalajzadeh, Muhammad Waseem, Amineh Naseri, Automated identification of security discussions in microservices systems: Industrial surveys and experiments , Journal of Systems and Software, Elsevier, 2021
4. Maryam Samami, Ebrahim Akbari, Moloud Abdar, Pawel Plawiak, Hossein Nematzadeh, Mohammad Ehsan Basiri, Vladimir Makarenkov, A mixed solution-based high agreement filtering method for class noise detection in binary classification , Physica A: Statistical Mechanics and its Applications Volume 553, 1 September 2020,
5. Fatemeh Fouladfar, Mohammad Naderi Dehkordi, Mohammad Ehsan Basiri, Predicting the Helpfulness Score of Product Reviews Using an Evidential Score Fusion Method , IEEE Access, vol. 8, pp. 82662-82687, 2020
6. Moloud Abdar, Mohammad Ehsan Basiri, Junjun Yin, Mahmoud Habibnezhad, Guangqing Chi, Shahla Nemati, Somayeh Asadi, Energy choices in Alaska: Mining people’s perception and attitudes from geotagged tweets , Renewable and Sustainable Energy Reviews, Volume 124, May 2020.
7. Mohammad Ehsan Basiri, Moloud Abdar, Mehmet Akif Cifci, Shahla Nemati, U Rajendra Acharya, A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques , Knowledge-Based Systems, Volume 198, 21 June 2020.
8. Ummara Ahmed Chauhan, Muhammad Tanvir Afzal, Abdul Shahid, Moloud Abdar, Mohammad Ehsan Basiri, Xujuan Zhou, A comprehensive analysis of adverb types for mining user sentiments on amazon product reviews , World Wide Web volume 23, pages1811–1829, 2020.
9. Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar, Erik Cambria, U Rajendra Acharrya, ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis , Future Generation Computer Systems, Volume 115, February 2021.
10. Shahla Nemati, Reza Rohani, Mohammad Ehsan Basiri, Moloud Abdar, Neil Y Yen, Vladimir Makarenkov, A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition , IEEE Access, vol. 7, pp. 172948-172964, 2019
11. ME Basiri, A Kabiri, HOMPer: A new hybrid system for opinion mining in the Persian language , Journal of Information Science, 0165551519827886 (2019)
12. P Jamadi Khiabani, ME Basiri, H Rastegari, An improved evidence-based aggregation method for sentiment analysis , Journal of Information Science, 0165551519837187 (2019)
13. T Tuncer, S Dogan, M Abdar, M Ehsan Basiri, P Pławiak, Face Recognition with Triangular Fuzzy Set-Based Local Cross Patterns in Wavelet Domain , Symmetry 11 (6), 787, (2019)
14. Mohammad Ehsan Basiri, Arman Kabiri, Words Are Important: Improving Sentiment Analysis in Persian Language by Lexicon Refining , ACM Transactions on Asian and Low-Resource Language Information Processing, 17, 6, 120-136, 2018
15. Mohammad Ehsan Basiri, Nasser Ghasem-Aghaee, and Ahmad Reza Naghsh-Nilchi , Exploiting reviewers’ comment histories for sentiment analysis , Journal of Information Science, vol. 40, pp. 313-328, 2014
16. Mohammad Ehsan Basiri, Ahmad Reza Naghsh-Nilchi, and Nasser Ghasem-Aghaee , Sentiment Prediction Based on Dempster-Shafer Theory of Evidence , Mathematical Problems in Engineering, Vol. 2014, Article ID 361201, 13 pages, doi:10.1155/2014/361201
17. Shahla Nemati, Mohammad Ehsan Basiri, Mehdi Hosseinzadeh Aghdam, Nasser Ghasem-Aghaee, A novel ACO–GA hybrid algorithm for feature selection in protein function prediction , Expert Systems with Applications (ESWA), Vol. 36, pp. 12086–12094, 2009.
18. Mehdi Hosseinzadeh Aghdam, Jafar Tanha, Ahmad Reza Naghsh-Nilchi, Mohammad Ehsan Basiri, Combination of ant colony optimization and bayesian classification for feature selection in a bioinformatics dataset , Journal of Computer Science and System Biology (JCSB),Vol. 2, pp. 186–199, 2009
19. Mehdi Hosseinzadeh Aghdam, Nasser Ghasem-Aghaee, Mohammad Ehsan Basiri, Text feature selection using ant colony optimization , Expert Systems with Applications (ESWA), Vol. 36, pp. 6843–6853, 2009.
20. Shahla Nemati, Reza Boostani, Mohammad Davarpanah Jazi, Mehdi Hosseinzadeh Aghdam, Mohammad Ehsan Basiri , Text-independent speaker verification using ant colony optimization-based selected features , Expert Systems with Applications (ESWA), Vol. 38, pp. 620–630, 2011.
21. Mohammad Ehsan Basiri, Ahmad Reza Naghsh-Nilchi, and Nasser Ghasem-Aghaee, A New Framework for Sentiment Analysis in Persian , OPEN TRANSACTIONS ON INFORMATION PROCESSING, Volume 1, Number 3, November 2014
Research Journal
٢٢. سعید دهقانی، ولی درهمی، علی محمد زارع، محمد احسان بصیری, عقيده کاوي در زبان فارسي مبتني بر يادگيري انتقالي , مجله مهندسي برق دانشگاه تبريز
٢٣. محمد احسان بصیری، شیرین حبیبی، شهلا نعمتی, تحليل احساسات توئيت هاي مرتبط با کرونا در ايران با استفاده از شبکه عصبي عميق , مطالعات مديريت کسب و کار هوشمند
٢٤. S Neshat, ME Basiri, H Khosravi, Feature ranking for Persian Spam Review detection , Journal of Soft Computing and Information Technology (JSCIT) 8 (2), 1-16 (2019)
٢٥. S Neshat, ME Basiri, H Khosravi, Feature ranking for Persian Spam Review detection , Journal of Soft Computing and Information Technology (JSCIT) 8 (2), 1-16 (2019)
٢٦. S Dehghani Ashkezari, V Derhami, AM Zare Bidoki, ME Basiri, Sentiment Classification of Opinions based on Multi-source Transfer Learning Using Structural Correspondence Learning , Journal of Soft Computing and Information Technology (JSCIT) 8 (2), 89-101
International Conference
27. Masoumeh Rajabi, Mohammad Ehsan Basiri, Shahla Nemati, Identifying High-Quality User Replies Using Deep Neural Networks , 2021 7th International Conference on Web Research (ICWR)
28. Aria Naseri Karimvand, Reza Salehi Chegeni, Mohammad Ehsan Basiri, Shahla Nemati, Sentiment Analysis of Persian Instagram Post: a Multimodal Deep Learning Approach , 2021 7th International Conference on Web Research (ICWR)
29. ME Basiri, N Safarian, HK Farsani, A Supervised Framework for Review Spam Detection in the Persian Language , 2019 5th International Conference on Web Research (ICWR), 203-207 (2019)
30. Mohammad Ehsan Basiri, Zahra Alidoosti, A New Clustering-based Genetic Algorithm for Designing of Combinational Logic Circuits , Third international conference on pattern analysis and image processing, 2017
31. Mohammad Ehsan Basiri, Arman Kabiri, Sentence-Level Sentiment Analysis in Persian , Third international conference on pattern analysis and image processing, 2017
32. Mohammad Ehsan Basiri, Arman Kabiri, Uninorm Operators for Sentence-Level Score Aggregation in Sentiment Analysis , ICWR۲۰۱۸
33. Mohammad Ehsan Basiri, Arman Kabiri, Translation Is Not Enough: Comparing Lexicon- based Methods for Sentiment Analysis in Persian , ۱۸th International Symposium on Computer Science and Software Engineering Conference (CSSE), 2018
34. Mohammad Ehsan Basiri, Shahla Nemati , Hierarchical classification of biological data using ant colony optimization , in Proc. The 4th International Conference on Bioinspired Optimization Methods and their Applications (BIOMA 2010), Ljubljana, Slovenia, May 20–21, 2010, pp. 147–156.
٣٥. محمداحسان بصیری، شهلا نعمتی، ناصر قاسم آقایی, مقایسه دستهبندی متون فارسی با استفاده از الگوریتمهای kNN و fkNN وانتخاب ویژگیها بر اساس بهره اطلاعات و فرکانس سند , سیزدهمین کنفرانس سالانه انجمن کامپیوتر ایران، 1386.
٣٦. محمداحسان بصیری، مهدی حسین زاده اقدم، شهلا نعمتی، بهروز ترک لادانی, ارائه روشی جدید براساس الگوریتم بهینهسازی کلونی مورچهها برای انتخاب ویژگیها در مجموعه دادههای بیوانفورماتیکی , سیزدهمین کنفرانس سالانه انجمن کامپیوتر ایران، 1386
37. Mohammad Ehsan Basiri, Shahla Nemati, Nasser Ghasem-Aghaee , Protein function prediction using ACO and Bayesian networks , in Proc. The 3rd International Conference on Bioinspired Optimization Methods and their Applications (BIOMA 2008), Ljubljana, Slovenia, October 13–14, 2008, pp. 147–156
38. Mehdi Hosseinzadeh Aghdam, Nasser Ghasem-Aghaee, Mohammad Ehsan Basiri , Application of ant colony optimization for feature selection in text categorization , in Proc. 5th IEEE world Congress on Evolutionary Computation (IEEE CEC'08), Hong Kong, June 1–6, 2008, pp. 2872–2878.
39. Mohammad Ehsan Basiri, Shahla Nemati , A novel hybrid ACO-GA algorithm for text feature selection , in Proc. IEEE Congress on Evolutionary Computation (IEEE CEC'09), Norway, May 18–21, 2009, pp. 2561–2568.
National Conference
٤٠. فاطمه حاتم زاده، محمد احسان بصیری, ارائه يک مدل يادگيري عميق دو زبانه براي تحليل احساسات چندوجهي در زبان فارسي , کنفرانس ملي آخرين دستاوردهاي مهندسي داده و دانش و محاسبات نرم
٤١. سمیه اسیوند، محمد احسان بصیری، علیرضا عرفانی, مديريت و پيشنهاددهي دانش براساس داده هاي متني شرکت گاز , سومين کنفرانس ملي در مهندسي کامپيوتر فناوري اطلاعات و پردازش داده ها، 1397
٤٢. مرضیه حسین زاده، محمد احسان بصیری، اعظم ربیعی, آشکارسازي خودکار طعنه در متون برخط فارسي با کمک الگوريتمهاي رده بندي , چهارمين کنفرانس ملي فناوري اطلاعات، کامپيوتر و مخابرات، 1396
٤٣. سمیه عارفی، امید روزمند، محمد احسان بصیری, انتخاب ويژگي براي شناسايي نويسنده , Third international conference on pattern analysis and image processing, 2017
٤٤. شهلا نعمتی و محمد احسان بصیری, دسته بندی استاد فارسی با استفاده از الگوریتم knn فازی , کنفرانس منطقه ای برق و کامپیوتر، دانشگاه آزاد اسلامی
٤٥. شهلا نعمتی و محمداحسان بصیری , دسته بندی اسناد فارسی با استفاده از الگوریتم KNN , دهمین کنفرانس دانشجویی مهندسی برق ایران, 1386



Books
1. ME Basiri, N Ghasem-Aghaee, A Reza، Lexicon-based sentiment analysis in Persian، Current and Future Developments in Artificial Intelligence 1, 154



Honors



Thesis
Number Student Name Title Defence Date
1. Modeling histories and relations for opinion mining
2. Predicting the structure and function of bio-sequences with data mining




Shahrekord University


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