I am a driven computer scientist with a keen interest in exploring and applying innovative technologies in AI and Quantitative Analysis to interdisciplinary research and engineering domains.
I am particularly interested in (statistical) Machine Learning, Computer Perception, Explainable AI, Decision Support Systems and Natural Language Understanding.
I have 8+ years of experience working with large data (transactional, behavioural, structured and unstructured) from different disciplines, such as medicine, healthcare and finance.
My research interest over the past few years has been at the intersection of Artificial Intelligence, (Semantics-based) Data Analysis and Logic with applications in medicine, healthcare and finance.
Currently, I am a Machine Learning Developer at My Intelligent Machine (MIMs). At MIMs, I devise and implement scalable NLP solutions extracting knolwedge from large text copora and build production-grade software systems.
Prior to joining MIMs, I designed and developed computational systems that assist physicians in complex decision making and optimize risk management for financial institutions.
During my postdoc at McGill University, I was of a pan-Canadian research project aiming to cut the kidney transplant rejection rate by 50% using genomic technologies.
The aim of the project was to indetify genetic determinants of donor-recipient compatibility utilizing data-driven analysis, such as survival analysis, clustering, gene network analysis, graphical models, archetypal analysis, etc.
As my PhD thesis, I developed a SEmantics-based Data ANalytics (SeDan) framework implementing plausible reasoning over knowledge graphs.
Our framework provides an exploratory approach to 'Big' data analytics deriving meaningful insights by turning collected data into actionable knowledge.
I have also been involved in different Natural Language Understanding/Processing projects, a topic which has always been an interest to me.
Thank you for stopping by! If you want to know more about my previous and present work and experience please scroll down or do not hesitate to drop an email to hassanzade@gmail.com
My Intelligent Machines (MIMs), Montréal, Canada
Faculty of Medicine, McGill University, Montréal, Canada
NICHE Research Group, Faculty of Computer Science, Dalhousie University, Halifax, Canada
College of Pharmacy, Dalhousie University, Halifax, Canada
COMPUCO Inter Swiss Affiliation Company, Tehran, Iran
Shahlai Industrial Group, Tehran, Iran
Dalhousie University, Halifax, Canada
Dissertation: “Plausible Reasoning over Knowledge Graphs: A Novel Approach for Semantics-Based Health Data Analytics”
Amirkabir University of Technology (Polytechnic), Tehran, Iran
Dissertation: “Context-based Trust Inference in Social Networks Using Data Mining Techniques”
University of Isfahan, Isfahan, Iran
Senior Project: “Implementation of an e-Auction website”
Rowe School of Business, Dalhousie University, Halifax, Canada
• Core Business Applications: Introduction to Computers
Computer Engineering Department, Abrar University, Tehran, Iran
• Information Security
Faculty of Computer Science, Dalhousie University, Halifax, Canada
• Data Structures & Algorithms
• Core Business Applications: Introduction to Computers
• Information Security
• H. Mohammadhassanzadeh, I. Sketris, R. Traynor, S. Alexander, B. Winquist and S.A. Stewart,
“Using Natural Language Processing to Examine the Uptake, Content, and Readability of Media Coverage of a Pan-Canadian Drug Safety Research Project: Cross-Sectional Observational Study” ,
JMIR Formative Research, vol. 4, no. 1, p. e13296, 2020.
• H. Mohammadhassanzadeh, W. Van Woensel, S.R. Abidi, and S.S.R. Abidi,
“Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision support” ,
BioData Mining, vol. 10, no. 1, p. 7, 2017.
• H. Mohammadhassanzadeh, H.R. Shahriari,
“Prediction of User's Trustworthiness in Social Networks via Text Mining” ,
The ISC International Journal of Information Security, Vol. 5, Issue 2, 2014
• H. Mohammadhassanzadeh, S.R. Abidi, W. Van Woensel, S.S.R. Abidi,
“Investigating Plausible Reasoning over Knowledge Graphs for Semantics-based Health Data Analytics”,
Data Exploration in the Web 3.0 Age (DEW) conference track at 27th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE’18), IEEE, Paris, France, June 27-29, 2018
• H. Mohammadhassanzadeh, S.R. Abidi, MS. Shah, M. Karamollahi, S.S.R. Abidi,
“SeDAn: a Plausible Reasoning Approach for Semantics-based Data Analytics in Healthcare”,
Workshop on Artificial Intelligence with Application in Health (WAIAH 2017), co-located with the AI*IA 2017, Bari, Italy, November 14-17, 2017.
• H. Mohammadhassanzadeh, SA. Stewart, R. Traynor, S. Alexander, IS. Sketris,
“Using Natural Language Processing to examine the media uptake of a study on isotretinoin safety”,
33rd International Conference on Pharmacoepidemiology & Therapeutic Risk Management (ICPE'17)
, Montreal, Canada, August 26 - 30, 2017.
• H. Mohammadhassanzadeh, W. Van Woensel, S.R. Abidi, S.S.R. Abidi,
“A Semantic Web-based Approach to Plausible Reasoning for Improving Clinical Knowledge Engineering”,
IEEE International Conference on Biomedical and Health Informatics (BHI'16), Las Vegas, USA, February 24 - 27, 2016.
• W. Van Woensel, H. Mohammadhassanzadeh, S.R. Abidi, S.S.R. Abidi,
“Multi-Strategy Semantic Web Reasoning for Medical Knowledge Bases”,
Proc. of Int. Workshop on Biomedical Data Mining, Modeling, and Semantic Integration (BDM2I), Bethlehem, USA, October 11, 2015
• M. Farahikia, H. Mohammadhassanzadeh,
“Application of Fuzzy Logistic Regression in Forecasting Stock Market Index”,
3rd Conference on Financial Mathematics, Semnan, 2013
•H. Mohammadhassanzadeh, M. Farahikia, A. Esfahanipour,
“An Empirical Study of Predictability of Stock Index Movement in Tehran Stock Exchange with Machine Learning Techniques”,
9th International Industrial Engineering Conference, Tehran, Iran, 2013
• H. Mohammadhassanzadeh, H.R. Shahriari,
“Using User Similarity to Infer Trust Values in Social Networks Regardless of Direct Ratings” ,
9th International ISC Conference on Information Security and Cryptology (ISCISC `12), Tabriz, 2012
Faculty of Computer Science, Dalhousie University, Halifax, Canada
Dalhousie University, Halifax, Canada
Canadian Network for Observational Drug Effect Studies (CNODES)
Dalhousie Computer Science Graduate Society (CSGS), Halifax, Canada
Registrar's Office, Dalhousie University, Halifax, Canada
Dalhousie University, Halifax, Canada
Dalhousie Computer Science Graduate Society (CSGS), Halifax, Canada
Dalhousie Computer Science Graduate Society (CSGS), Halifax, Canada
Dalhousie University, Halifax, Canada
Research Institute for Information and Communication Technology (ITRC), Iran
University of Isfahan, Isfahan, Iran
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