• Hi!
    I'm Saber

    An enthusiastic researcher in Computer Science.

    Download CV

  • I am interested in

    Deep Learning for Graphs and Social Networks Analysis

About Me

Who Am I?

Hi I'm Saber Gholami.I was born in Iran, and received my B.Sc. and M.Sc from K.N. Toosi University of Technology and Tehran Polytechnic University, respectively. Recently, I completed my Ph.D. at Concordia University under the supervision of Professor Hovhannes Harutyunyan.

My research interests includes, but is not limited to: Deep learning for graphs, Social networks analysis, Algorithmic graph theory, and Message dissemination.

Graph Deep Learning

Social Networks Analysis

Algorithm Design

Broadcasting

My

Education

Concordia University, Montreal, Canada

  • Activities and Research directions: ML for graphs, Social networks analysis, Algorithm design, Broadcasting, Networks, and Graph theory.
  • Supervisor: Professor Hovhannes Harutyunyan
  • GPA: 4.2/4.3

Tehran Polytechnic University, Tehran, Iran

  • Activities and Research directions: Machine Learning, Learning automata, Social networks, Graph coloring, Influence maximization, and Natural language processing.
  • Supervisor: Professor M. R. Meybodi
  • GPA: 17.38/20

K.N. Toosi University of Technology, Tehran, Iran

  • Activities and Research directions: Geographical calculation, Advanced programming, 3D curve fitting.
  • Supervisor: Dr. Amin Nikanjam
  • GPA: 16.13/20

Moallem Highschool, Tehran, Iran

  • GPA: 19/20
My recent

Publications

Journals

  • Saber Gholami, Hovhannes A. Harutyunyan, "A Note to Non-adaptive Broadcasting", Parallel Processing Letters, 2022 (Under Review).
  • Saber Gholami, Hovhannes A. Harutyunyan, "HUB-GA: A Heuristic for Universal lists Broadcasting using Genteic Algorithm", Journal of Communications and Networks, 2022. link
  • Saber Gholami, Hovhannes A. Harutyunyan, "Optimal Broadcasting in Fully Connected Trees", Journal of Interconnection Networks, 2022. link
  • Saber Gholami, A.M.Saghiri, S.M.Vahidipour, M.R.Meybodi, "HLA: A Novel Hybrid Model Based on FixedStructure and Variable Structure Learning Automata". Journal of Experimental and Theoretical Artifcial Intelligence, 2021 link

Conferences

  • Saber Gholami, Hovhannes A. Harutyunyan, "Fully-adaptive Model for Broadcasting with Universal Lists", In the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) 2022.
  • Saber Gholami, Hovhannes A. Harutyunyan, "Broadcast Graphs with Nodes of Limited Memory", In the 13th International Conference on ​Complex Networks (ComPleNet), May 30 - June 1, 2022. link
  • Saber Gholami, Hovhannes A. Harutyunyan, "A Broadcasting Heuristic for Hypercube of Trees", In 11th Annual Computing and Communication Workshopand Confernce, CCWC 2021, Las Vegas, NV, USA, January 27-30,2021. IEEE, 2021. link
  • Sahar Bakhtar, Saber Gholami, Hovhannes A. Harutyunyan, "A New Metric to Evaluate Local Communities in Social Networks Using Geodesic Distance". The 9th International Conference on Computational Data and Social Networks, Dallas, TX, 2020. link
  • A.Mohammad Ebrahimi, Saber Gholami, Saieede Momtazi, M.R.Meybodi, A.Abdollahzadeh, "Correlation Analysis of Applications' Features: A Case Study on Google Play". The International Conference on Contemporary Issues in Data Science, Iran, 2019. link

Book Chapters

  • Coming Soon...!
Some recent

Talks

Conference talks

  • Fully-adaptive Model for Broadcasting with Universal Lists, in SYNASC 2022. pdf
  • Broadcast Graphs with Nodes of Limited Memory, in CompleNet 2022. pdf
  • A Broadcasting Heuristic for Hypercube of Trees, in CCWC 2021. pdf

University talks

  • Problems Related to Classical and Universal List Broadcasting , Concordia University 2022. pdf
  • Broadcasting with Nodes of Limited Memory, Concordia University 2022. pdf
  • Broadcasting Problem in a Specific Class of Graphs, Concordia University 2021. pdf
  • The Importance of Individuals and Groups in Social Networks, Concordia University 2020. pdf
What I'm interested in?

Research Experience

Graph Theory

Broadcasting, Centrality indices, Graph coloring.

Social Networks

Influence maximization, Community detection.

DL for Graphs

Using Deep Learning techniques in huge graphs.

NLP

NER, POS tagging, Word2vec, Doc2vec.

Learning Automata

Fixed and variable structure, Hybrid models.

Machine Learning

Supervised and Reinforcement learning.

What have I taught?

Teaching Experience

John Abbott College

  • Foundations of Web Development
    • Lecturer
    • Apr. - May. 2022

Concordia University

K.N. Toosi University of Technology

Cups of coffee
Courses attended
Courses taught
Publications
The list of

My Skills

As a computer science student, you have to have a great set of skills in programming. Here is a list of mine:

Programming Languages

Python, Java, C++, C, Prolog
90%

Machine Learning

Scikit-learn, NumPy, SciPy, Pandas, Tensorflow, Keras, Spektral
80%

Social Networks and Graph Technologies

Networkx, Gephi
95%

NLP technologies

Nltk
70%

Front end Technologies

HTML, CSS, Javascript, JQuery, Bootstrap
75%

Back end Technologies

Django - Python
100%
What are

My Hobbies

I love traveling, cooking, video games, working out and photography! Oh, and by the way, who doesn't love friends?

Traveling

Niagra falls, ON, CA

Traveling

Rock dunder Mountaints, Kingstone, ON, CA

Photography

Old port, Montreal, QC, CA

Photography

Breathtaking view of Mountroyal in sunset, Montreal, QC, CA

Photography

Cold winter of Montreal, QC, CA

Photography

Constructions in my hometown, Tehran, Iran.

Get in Touch

Contact

Feel free to contact me 24/7. You can either send me a message here or get in touch with below options.

sabergholami72@gmail.com m_olamin@encs.concordia.ca

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Or on Instagram.

See my profile on LinkedIn and Research Gate.

+1 438 722 9130

Last Update: Jan. 2023