Education

• Ph.D. in Computer Science, Goethe University Frankfurt, 2021 - present
• M.S. in Computer Software Engineering, Alzahra University, 2017 - 2019
• B.S. in Computer Software Engineering, Dr. Shariati University, 2012 - 2016

Work experience

• Jan. 2024 - present: Single-frame Forensic Watermarking QA Support/ Test Engineer
  • QA Department, castLabs GmbH
  • Berlin, Germany
  • Duties included:
    • Keeping the verification protocols up-to-date with the latest product enhancements.
    • Developing automated testing procedures for the forensic watermarking solution.
    • Executing QA tests, particularly focusing on forensic watermarking solution.
• Jan. 2022 - present: Applied Cryptography Engineer/ Researcher
  • Database Technologies and Data Analytics Group, Goethe University Frankfurt
  • Frankfurt am Main, Germany
  • Duties included:
    • Developed the first comparative platform for privacy-preserving biclustering algorithms by homomorphic encryption technique that enabled the computation of sensitive genomic data directly on encrypted data.
    • Designed a mixed protocol machine learning framework that integrated two advanced cryptography schemes, including CKKS and functional secret sharing to provide the first fully secure workflow for biclustering algorithms.
    • Balanced accuracy and performance with the security guarantees; while improving upon existing works in the domain, resulting in 83.38% accuracy compared to the non-encrypted algorithm.
    • Spearheaded the successful implementation of comprehensive pipelines for analyzing medical data provided by Frankfurt University Hospital, employing specialized biclustering algorithms that enhanced understanding of gene expression.
    • Managed a team of Python programmers to deliver open-source projects with publications in the top-ranking conferences.
• Oct. 2016 - Mar. 2020: Business Analyst and Software Test Engineer
  • Card Management System Team, Datis Arian Queshm (Dotin) Company
  • Tehran, Iran
  • Duties included:
    • Implemented end-to-end test automation using Selenium WebDriver and the Nightwatch framework, resulting in a 45% increase in test coverage, and reducing manual testing of functions like requesting new cards.
    • Identified and resolved critical bottlenecks in test execution, resulting in a 60% increase in test throughput and a 25% reduction in the overall time required for regression testing.
    • Engaged with stakeholders and clients to model and document 50+ requests with precision in Confluence, driving efficient project delivery and fostering effective communication across teams.
• Sep. 2017 - Feb. 2019: Biomedical Data Analyst
  • Data Mining Lab, Alzahra University
  • Tehran, Iran
  • Duties included:
    • Leveraged a combination of machine learning algorithms and public healthcare data to identify patients with chronic kidney disease, enabling early intervention for effective disease management.
    • Collaborated with the team members to prepare a novel comparative analytical framework for evaluating human motion recognition methods that simplified accurate selection by researchers in this field; published the result in a Q1 journal.
    • Focused on one of the important steps in image registration to present an analytical framework that led to the development of texture feature extraction approaches; published the result in a top-ranking journal.

Projects

• Sep. 2023 – present: FunBic-CCA
  • Privacy-preserving evaluation of linear as well as non-linear operations
  • Optimized building block with MPC cryptography technique
• Aug. 2023 – Sep. 2023: REMBics
  • Analysis of regulatory elements stored in EpiRego database by biclustering algorithms into two projects:
    • REMBic-CCA (Cheng and Church Algorithm)
    • REMBic-BCCA (Bi-Correlation Clustering Algorithm)
• Dec. 2022 – Aug 2023: SecBics (Secured Biclustering Algorithms)
  • Series of homomorphically biclustering algorithms (SecBics) using CKKS
    • SecBic-CCA (Secured Biclustering algorithms - Cheng and Church Algorithm)
      • Privacy-preserving gene expression analysis based on CCA
      • End-to-end homomorphically computation of Mean Squared Residue (MSR) (CKKS scheme + Pyfhel library)
    • SecBic-BCCA (Secured Biclustering algorithms - Bi-Correlation Clustering Algorithm)
      • Privacy-preserving gene expression analysis based on BCCA
      • End-to-end homomorphically computation of Pearson correlation coefficient (CKKS scheme + Pyfhel library)
      • Apply encrypted Pearson correlation coefficient to other domain
• Jan. 2022 – May. 2022: Secured Cheng and Church Algorithm (SeCCA)
  • Analyzed encrypted gene expression data by biclustering algorithm so-called Cheng and Church using fully homomorphic encryption library (i.e., Pyfhel) and BFV scheme for the first time.
• Dec. 2021: Predicting the Risk of Chronic Kidney Disease
  • Performed machine learning algorithms on a data set of Chronic Kidney Disease (CKD)
• Oct. 2015 – Mar. 2016: Dental Clinical Management Software
  • Implemented dental clinical management software with necessary functionalities such as sharing and retrieval of stored patient information

Awards & Honors

• 2023: DAAD Bridge Scholarships Iran, 2023
  • Goethe University Frankfurt
  • Frankfurt am Main, Germany
• 2021: Starting Scholarships for International Doctoral Candidates
  • Goethe University Frankfurt
  • Frankfurt am Main, Germany

Certificates & Courses

• Feb. 2021: RNA-seq Data Analysis
  • CodeCool Bioinformatics Group
  • Tehran, Iran
• Dec. 2019 – Jun. 2020: Advanced/ Fundamentals Big Data Analytics
  • Institute of Faratar Az Danesh
  • Tehran, Iran
• Sep. 2018: Python Programming
  • Institute of Iran Linux House
  • Tehran, Iran
• Jun. 2013 – Sep. 2014: ACCP Microsoft
  • Institute of Aptech Computer Education
  • Tehran, Iran

Languages

• Proficiency Tests:
  • IELTS Academic 7 (Jun 2022)
• Germans:
  • Intermediate (Level B1)
• Persian:
  • Native

Skills

• Technical Skills
  • Privacy-preserving Machine Learning: Fully Homomorphic Encryption (Pyfhel), Multi-party Computation (Funshade), Federated Learning (MetisFL)
  • Programming Language: Python, Java, C#
  • Big Data Components: Hadoop ecosystem (HDFS, YARN, MapReduce), ingestion and integration (sqoop, Flume, Kafka), stream and batch processing (Apache Spark and Pig)
  • Data Analytics and Visualizations: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn
  • Database Management Systems: MySQL, Microsoft SQL Server, Oracle Database, Cassandra
  • Development Platforms: PyCharm, Anaconda, Apache Zeppelin, Jupyter Notebook
  • Version Control: Git