كلية الحاسبات والذكاء الإصطناعي

د. مصطفى علي محمود محمد

معلومات الاتصال

رقم التليفون :6379562 084 - 6379569 084                   
رقم الفاكس : 6370025 084
البريد الإلكتروني : mam16@fayoum.edu.eg
المكتب : قسم نظم المعلومات
عنوان المراسلة البريدي : الفيوم - جامعة الفيوم – كلية الحاسبات والذكاء الإصطناعي - قسم نظم المعلومات - رقم بريدى:63514
المؤهلات العلمية
بكالوريوس : حاسبات ومعلومات - جامعة اسيوط - 2006
ماجستير: نظم المعلومات - كلية حاسبات ومعلومات - جامعة اسيوط - 2013
الدكتوراه : علوم الحاسب ونظم والمعلومات - كلية علوم والتكنولوجيا قسم الدراسات في علوم الحاسب - جامعة ميسور بالهند -2020
التدرج الوظيفي
مساعد باحث: من 2006 الى 2009 – العمل المركزي للنظم الزراعيه الخبيره
معيد : من 2009 إلى 2013
مدرس مساعد : من 2013 الى 2020
مدرس : من 2020 حتى الآن
الاهتمامات البحثية
Artificial Intelligence
Machine Learning
Data Mining
Big Data
التدريب في الخارج
Introduction to Grid Computing Systems (GLite) in JINR at Dubna, Russia, May 21 to June 18, 2014.
المشاريع
National Gene Bank Database [NGBDB] (2008): Develop a Centralized Database for management the gene bank operations
a. Development of the database for the Department gene bank (plant and animal) located in Egypt, which is stored in the gene bank through this rule by:
o To locate and quantity of genes inside of refrigerators and work an average of the whereabouts of these genes inside the refrigerator
o Extraction report on the operations carried out on these genes.
Rural and Agriculture of Development Communication Network [RADCON](2008)
• Co-Operation External Establishment
o Food and Agriculture Organization of the United Nations (FAO) URL : www.fao.org
• Co-Operation Internal Establishment
o Agricultural Extension & Rural Development Research Institute (AERDRI)
Mining growers Complaints database Accumulated in the Rural and Agricultural Development Communication Network Web Site (2009)
o Research and Development project funded by STDF.
A Cloud-based Complaints Management and Decision Support System for Sustainable Farming in Egypt (Current work)
o Joint Research and Development project funded by STDF between Fayoum university, Egypt and university of the West of England, UK.
Big data platform for mapping the spread of the pandemic to track the diffusion of the pandemic in time and geography (Current work).
o Research and Development project funded by STDF.
المؤتمرات
Pre-Conference Tutorial on Machine Learning, Computer Science Department, Mysore University, Mysore, India, on 28 & 29 March 2018.
Seminar on Soft Computing Techniques to Pattern Recognition, Computer Science Department, Mysore University, Mysore, India from 3-5 November 2016.
Workshop in TEQIP-II one week, on “Linear Algebra for Electrical Science”, Department of Electronics and Communication Engineering, JSS college, Mysore, India, from 26th to 29th February 2016.
Workshop in TEQIP-II one week on “Advances in Pattern Recognition: An Approach through MATLAB”, Department of Electronics and Communication Engineering, JSS college, Mysore, India from 31 August to 4 September 2016.
Workshop in Big Data-Hadoop at University of Mysore, Mysore on 29-31 October 2015 organized by IBNC INDIA and I-Medita Learning Solutions.
Volunteer at 103rd Indian Congress Conference at University of Mysore, Mysore on 3-7th Jan. 2016.
Volunteer at Data Analytics and Learning 2018 (DAL18) Conference, Computer Science Department, Mysore University, Mysore, India, 30-31 March 2018.
Participant at International Conference on Climate, Environment Library of Alexandria, Egypt in November 2008.
الأبحاث العلمية
Taysir Hassan A. Soliman, Mostafa A. Elmasry, Abdel Rahman Hedar and M. M. Doss, “Utilizing Support Vector Machines in Mining Online Customer Reviews”. In Proceedings of 22th International Conference on Computer Theory and Applications ( ICCTA 2012 ), Pages 192 – 197, 13-15 October 2012, Alexandria.
Taysir Hassan A. Soliman, M. Ali M, Abdel Rahman Hedar and M. M. Doss, “Mining Social Networks’ Arabic Slang Comments”. In Proceedings of IADIS European Conference on Data Mining 2013 (ECDM’13) (2013), pp. 22–24
Taysir Hassan A. Soliman, M. A. Elmasry, Abdel Rahman Hedar and M. M. Doss, (2014) "Sentiment Analysis of Arabic Slang Comments on Facebook", International Journal of Computers and Technology (IJCT), Vol. 12, No.5, pp. 3470-3478.
D.S. Guru, Mostafa Ali and M. Suhil, (2018). A Study of Applying Different Term Weighting Schemes on Arabic Text Classification. Lecture Notes in Networks and Systems 43 (LNNS, pp 293-305), Springer.
D.S. Guru, Mostafa Ali and M. Suhil, (2018). A Novel Term Weighting Scheme and an Approach for Classification of Agricultural Arabic Text Complaints. In 2nd IEEE International Workshop on Arabic and derived Script Analysis and Recognition (ASAR), 24-28, DBLP.
D.S. Guru, Mostafa Ali and M. Suhil, (2018). A Novel Feature Selection Technique for Text Classification. Advaces in Intelligent Systems and Computing 813, pp 721-733 Springer.
Mostafa Ali, D S Guru and Mahamad Suhil, (2018). Classifying Farmers’ Complaints Based on Crops and Diseases using Machine Learning Approaches. Communications in Computer and Information Science (CCIS) 1037, pp 416-428, Springer.