حميد الجزایري

أنا أستاذ مساعد. في جامعة بابول نوشيرفاني للتكنولوجيا مع خبرة في تطوير البرمجيات والهندسة. لقد قمت بتدريس بعض الدورات المتعلقة بهندسة البرمجيات (SE) والذكاء الاصطناعي (AI). يمكن أن يكون أي تقاطع بين SE و AI مثيرًا للاهتمام بالنسبة لي. يعد التطوير السريع مسألة مهمة في عملي بالإضافة إلى تقنيات الذكاء الاصطناعي الضرورية للبرامج الناشئة.
الاهتمامات البحثية
التعلم الآلي واستخراج البيانات التطوير السريع للتطبيق
تحليل متطلبات البرامج المنهجية أنظمة متعددة الوكلاء (التفاوض الآلي)
خوارزميات الاستدلال أنظمة كشف التسلل
أنظمة التوصية (مع البداية الباردة) التموضع وبناء خريطة المكان في آن واحد
الترجمة الفورية ورسم الخرائط معالجة الصور
تعليم
2006 – 2011
  • PhD, University Putra Malaysia, Malaysia
  • PhD in Computer Software Engineering

    Thesis: Automated Negotiation in e-Marketplace with Incomplete Information using Multi-Agent Systems
    1997 -2000
  • Master, University of Isfahan, Iran.
  • Master in Computer Software Engineering

    Thesis: Prediction and Investment in Tehran Stock Market Using Neural Networks
    1992 - 1996
  • Bachelor, University of Tehran, Iran.
  • Bachelor in Computer Engineering

    خبرة اكاديمية
    2001 – 2006
  • University Tutor
  • Department of Computer Engineering, Babol Noshirvani University of Technology

    2011 -2019
  • University Lecturer
  • Department of Computer Engineering, Babol Noshirvani University of Technology

    خبرة في العمل
    2000 – 2006
  • Software Developer
  • Part-Time

    2012– 2019
  • Senior Software Engineer
  • Part-Time

    • 2002 -2005
    • 2013 -2014
    • 2014 -2019
  • Administration at University
    • Head of Education Administration Office
    • Head of Software-Support and Maintenance
    • IT Manager
    تطوير البرمجيات (والدعم)
    2019 – on going
  • Current project
    • AgileLab: a web-based project management application for agile developers. Designed for under-graduate students to learn and practice agile concepts while analyzing software requirement and project planning.
    • 2000 -2002
    • 2002-2019
  • Completed
    • Office Automation
    • Payroll: I have spent lots of time to develop and support this software. Now, we are moving to our new version.
    إشراف (طالب دراسات عليا)
    Ebrahimnejad A. Learning opponent preferences in bilateral automated negotiation
    Salmanian F. Learning opponent preferences in bilateral automated negotiation
    Morshedi M. Anomaly Detection to Reduce False Alarms Rate in Wireless Body Area Networks
    2019 Chitgar N. Scheduling in Cloud Computing using a stochastics approach
    Khirolahpor R. Scheduling in cloud computing using heuristics algorithms
    2019 Mohseni Miri S. Improving Intrusion Detection System Using Ensemble Learning
    2019 Salahshoor F. Intrusion Detection Systems Based on Dynamic Negative Selection Algorithm
    2018 Ahmadi A. Diagnosis of heart diseases with training of FCM using Evolutionary algorithms
    2017 Zakariapour S. Mitosis Detection in Breast Cancer Histological Images Based On Texture Features Using AdaBoost
    2016 Bakhtar S. Multi-objective Task Scheduling in Flexible Job-Shop Problem using NSGAii
    2016 Mohammadi S. Designing a Recommender System for Cold User Using Categorized Items
    2013 Kermansaravi Z. Intrusion detection system in computer networks using decision tree and SVM algorithms
    الأنشطة الأكاديمية
    • Editorial Board
      • Journal of Soft Computing and Information Technology (2017-2019)
    • Conference PC member
      • IKT 2012 (4th International Conference on Information and Knowledge Technology)
    دورة تدرس
  • Under Graduate
  • Software Requirement Analysis
    Algorithm Design and Analysis
    Software Engineering (Agile Planning)
    Advanced Programming
    Data Structures
    AI and Expert Systems
  • Post Graduate
  • Machine Learning
    Research Methods
    Distributed Operating Systems
    Management Information Systems
    Game Theory
    المنشورات
    [1] N. Chitgar, H. Jazayeriy, and M. Rabiei, “Improving Cloud Computing Performance Using Task Scheduling Method Based on VMs Grouping,” in 2019 27th Iranian Conference on Electrical Engineering (ICEE), 2019, pp. 2095–2099.
    [2] R. Kheirollahpour, H. Jazayeriy, and M. Rabiei, “A Heuristic-based Task Scheduling Method for Reducing Waiting Time in Cloud Environment,” in 2019 27th Iranian Conference on Electrical Engineering (ICEE), 2019, pp. 1884–1888.
    [3] H. Jazayeriy, S. Bakhtar, and M. Valinataj, “aPaRT: A Fast Meta-Heuristic Algorithm using Path-Relinking and Tabu Search for Allocating Machines to Operations in FJSP Problem,” Intel. Artif., vol. 21, no. 61, pp. 111–123, 2018.
    [4] H. Jazayeriy, S. Mohammadi, and S. Shamshirband, “A Fast Recommender System for Cold User Using Categorized Items,” Math. Comput. Appl., vol. 23, no. 1, p. 1, Jan. 2018.
    [5] S. Zakariapour, H. Jazayeriy, and M. Ezoji, “Mitosis detection in breast cancer histological images based on texture features using adaboost,” J. Inf. Syst. Telecommun., vol. 5, no. 2, 2017.
    [6] Z. Sadeghi, H. Jazayeriy, and S. Fateri, “A Low Complexity ANFIS Approach for Premature Ventricular Contraction Detection Based on Backward Elimination,” J. Adv. Comput. Res., pp. 35–48, 2016.
    [7] M. Valinataj, M. Mirshekar, and H. Jazayeri, “Novel low-cost and fault-tolerant reversible logic adders,” Comput. Electr. Eng., vol. 53, pp. 56–72, Jul. 2016.
    [8] S. Bakhtar, H. Jazayeriy, and M. Valinataj, “A multi-start path-relinking algorithm for the flexible job-shop scheduling problem,” in 2015 7th Conference on Information and Knowledge Technology, IKT 2015, 2015.
    [9] H. Jazayeriy, N. Sulaiman, N. I. Udzir, and M. Azmi-Murad, “Generating Pareto-Optimal Offers in Bilateral Automated Negotiation with One-Side Uncertain Importance Weights,” Comput. Informatics, vol. 31, no. 6, 2013.
    [10] Z. Kermansaravi, H. Jazayeriy, and S. Fateri, “Intrusion Detection System in Computer Networks Using Decision Tree and SVM Algorithms,” J. Adv. Comput. Res., vol. 4, no. 3, pp. 83–101, 2013.
    [11] H. Jazayeriy, M. Azmi-Murad, M. N. Sulaiman, and N. I. Udzir, “A review on soft computing techniques in automated negotiation,” Sci. Res. Essays, vol. 6, no. 24, 2011.
    [12] H. Jazayeriy, M. Azmi-Murad, N. Sulaiman, and N. I. Udizir, “Pareto-optimal algorithm in bilateral automated negotiation,” Int. J. Digit. Content Technol. its Appl., vol. 5, no. 3, 2011.
    [13] H. Jazayeriy, M. Azmi-Murad, N. Sulaiman, and N. I. Udizir, “The learning of an opponent’s approximate preferences in bilateral automated negotiation,” J. Theor. Appl. Electron. Commer. Res., vol. 6, no. 3, pp. 65–84, 2011.