Hossein Mohammadhassanzadeh

Machine Learning Developer | Ph.D.


ABOUT

    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.

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RESEARCH INTEREST

    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.

PROF. EXPERIENCE

    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


WORK EXPERIENCE

Machine Learning Developer
My Intelligent Machines (MIMs), Montréal, Canada

  • Designing and developing scalable NLP solutions and building production-grade software systems.
  • Developing knowledge extraction systems and building knowledge graphs from large text corpora.
  • Building and improving production ML models and ML-Ops pipelines.
  • Working with business and technical teams to analyze the client’s business challenges and functional needs.
Tools utilized: Python (libraries such as NLTK, (Sci)Spacy, Pandas), Graph Database, (Bio)BERT, Docker


Oct. 2020 – present

Postdoctoral Research Fellow
Faculty of Medicine, McGill University, Montréal, Canada

  • Using genomic technologies to optimize matching in kidney transplantation and use of personalized medicine (CanPREVENT ).
  • Identifying genetic determinants of donor-recipient compatibility to prevent premature kidney transplant loss by 50%.
  • Implementing data-driven analyses; such as survival analysis, clustering, gene network analysis, graphical models, archetypal analysis, etc.
  • Developing software solutions enabling rapid clinical decision-making while providing equity in matching.
  • Designing and implementing data pipeline architectures automating the collection and processing of deep patient data (e.g., genomics, lab results, digital health) from various centers in Montréal.
  • Leading interns and master students and communicating findings to transplant communities and publishing results.
Tools utilized: Python (libraries such as Sklearn, Numpy, Scipy, Pandas), R (libraries such as survival, glmnet, dplyr, irr), Weka, MySQL, Compute Canada (HPC)


June 2019 – Oct. 2020

Researcher and Mobile Application Developer
NICHE Research Group, Faculty of Computer Science, Dalhousie University, Halifax, Canada

  • Conducted innovative research on artificial intelligence, data analytics, logical reasoning and healthcare.
  • Formalized plausible reasoning within the context of computer science to infer knowledge from ontologies and big data.
  • Developed a novel semantics-based data analytics framework delivering actionable insights from knowledge graphs, capable of providing answers to more than 60% of intelligent biomedical questions with no previous answers recorded.
  • Developed a cross-platform mobile application within the IMPACT-AF project.
  • Teaching assistant; Core Business Applications, Experimental Robotics, Website Creation, Data Structures & Algorithms.
Tools utilized: Java, Semantic Web technologies (such as RDF(S), OWL, SPARQL, Jena, GraphDB), Android Studio, Sencha, JavaScript, MySQL, GitHub


Sep. 2013 - Mar. 2019

Data Scientist
College of Pharmacy, Dalhousie University, Halifax, Canada

  • Informed researcher on how media presents their pharmacoepidemiological research studies on drug safety.
  • Developed Natural Language Processing techniques over unstructured text corpus for document analysis.
  • Designed and implemented a framework to automate the analysis of other CNODES studies.
Tools utilized: Python, MySQL


Jun. 2016 – Apr. 2018

Data and IT Analyst
COMPUCO Inter Swiss Affiliation Company, Tehran, Iran

  • Developed a risk management system (SWAT) for banking industry based on the Basel standards
        Including: credit scoring, gap analysis, credit risk, liquidity risk, currency/stock market risk, etc.
  • Designed data models and developed data ETL and BI dashboard for the Iranian banking industry.
        Including data gathering, warehousing and visualization
  • Investigated operational challenges and delivered improved IT solutions for financial big data management.
  • Conducted research and advised on the development/implementation of data policies, standards and models.
Tools utilized: C#, MATLAB, Weka, T-SQL, SQL Server, Microsoft SSIS, Microsoft TFS, Microsoft Project


Feb. 2012 – Sep. 2013

Database Designer and Developer
Shahlai Industrial Group, Tehran, Iran

  • Implemented a distributed data management system between the central office & plants.
        Including backup/restore, data replication between office and plants
  • Designed, developed and launched industrial automation and ERP systems in the textile industry.
Tools utilized: C#, T-SQL, SQL Server

Jul. 2010 - Apr. 2011




EDUCATION

Doctor of Philosophy (PhD), Computer Science
Dalhousie University, Halifax, Canada
Dissertation: “Plausible Reasoning over Knowledge Graphs: A Novel Approach for Semantics-Based Health Data Analytics”
Supervisor: Dr. Syed Sibte Raza Abidi

Sep. 2013 - Mar. 2019

Master of Science (MSc), Information Technology Engineering
Amirkabir University of Technology (Polytechnic), Tehran, Iran
Dissertation: “Context-based Trust Inference in Social Networks Using Data Mining Techniques”
Supervisor: Dr. Hamid Reza Shahriari

2010 - 2013

Bachelor of Science (BSc), Information Technology Engineering
University of Isfahan, Isfahan, Iran
Senior Project: “Implementation of an e-Auction website”

2005-2010




TEACHING EXPERINCES

Instructor
Rowe School of Business, Dalhousie University, Halifax, Canada
• Core Business Applications: Introduction to Computers (Fall 2018)

Computer Engineering Department, Abrar University, Tehran, Iran
• Information Security (Winter 2013, Summer 2013)

Teaching Assistant / Marker
Faculty of Computer Science, Dalhousie University, Halifax, Canada
• Data Structures & Algorithms (Winter 2019)
• Introduction to Experimental Robotics (Fall 2016, Fall 2017)
• Introduction to Web Site Creation (Winter 2016)
• Introduction to Experimental Robotics (Winter 2016)
• Advanced Database Systems (Summer 2016)

Rowe School of Business, Dalhousie University, Halifax, Canada
• Core Business Applications: Introduction to Computers (Fall 2016, Fall 2017 & Winter 2019)

Faculty of Computer Engineering and IT, Amirkabir University of Technology, Tehran, Iran
• Information Security (Fall 2012)
• e-Commerce Systems Engineering (Fall 2011)




PUBLICATION

Journal Papers
• 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.
DOI: 10.2196/13296

• 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.
DOI: 0.1186/s13040-017-0123-y

• 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
DOI: 10.22042/isecure.2014.5.2.5

Conference Papers
• 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.
Pharmacoepidemiology and Drug Safety journal: http://onlinelibrary.wiley.com/doi/10.1002/pds.4275/full

• 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 (In Persian)

•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 (In Persian)

• 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




HONORS AND LEADERSHIP

Member of Master’s Program Admission Interview Panel
Faculty of Computer Science, Dalhousie University, Halifax, Canada

2019

Nova Scotia Research and Innovation Graduate Scholarship
Dalhousie University, Halifax, Canada

2017 - 2018

CNODES Atlantic Site Trainee
Canadian Network for Observational Drug Effect Studies (CNODES)

Jun. 2016 – Apr. 2018

Grants Committee Member
Dalhousie Computer Science Graduate Society (CSGS), Halifax, Canada

Nov. 2016 - Mar. 2019

Exams Chief Invigilator
Registrar's Office, Dalhousie University, Halifax, Canada

2016 - 2019

Post-Graduate Full Scholarship
Dalhousie University, Halifax, Canada

Sept. 2013 - Aug. 2017

Treasurer
Dalhousie Computer Science Graduate Society (CSGS), Halifax, Canada

Apr. 2016 - Nov. 2016

Member at Large
Dalhousie Computer Science Graduate Society (CSGS), Halifax, Canada

Jun. 2014 - Mar. 2016

DCSI’15 Conference Organizing Committee Member
Dalhousie University, Halifax, Canada

Sept. 2015

Partial Thesis Support Scholarship
Research Institute for Information and Communication Technology (ITRC), Iran

2010 - 2011

Scientific Society of IT Engineering Member
University of Isfahan, Isfahan, Iran

2007 - 2009


CONTACT

Email
hassanzade@gmail.com

SOCIAL LINKS

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