Akram Nakhaee
Akram Nakhaee

Akram Nakhaee

Email:  akram.nakhaei[at]ustmb.ac.ir
Degree: Assistant Professor
 
Qualifications
  •  Bachelor of Science: Information Technology - 2011

          Amirkabir University of Technology, IR

         Supervisor: Dr Mohammad Mehdi Ebadzadeh.

         BSc Project title: "Newton-based Multi-scale Swarm Optimizer."

  • Master of Science: Information Technology (Computer Networks) - 2013

         Amirkabir University of Technology, IR

         Supervisor: Dr Masoud Sabaei.

         Thesis title: "Designing an Efficient Algorithm for Interactive Video-on-Demand on Peer-to-Peer Networks."

  • Doctor of Philosophy: Information Technology (Information Systems) – 2021

          Tarbiat Modares University, IR

          Supervisors: Dr. Mohammad Mehdi Sepehri, and Dr. Toktam Khatibi.

         Advisor: Dr Pejman Shadpour.

         Dissertation title: "Designing a Clinical Intelligent Framework for Predicting Fistula Disorders."

 
Research Interests
  •  Data Mining
  •  Applied Machine learning
  •  Bioinformatics
 
Honors and Awards

·       Ranked 405th in the university entrance exam, 2006

·       Ranked 30th in the MSc  entrance exam, 2011

·       Ranked 9th in the PhD entrance exam, 2015

 
Previous and Present Positions
 
Professional Membership

·       Reviewer of International Journal of Hospital Research (IJHR) - 2019 till now

·       Member of Research system of Iran University of Medical Sciences- 2020 till now

·       Member of the core of Hospital Management Research Center, Hasheminejad Kidney Center-2018 till now

 
Teaching Experiences
  • Multimedia systems/environments
  • Internet engineering/basics
  • Fuzzy Decision Support Systems
  •  Information Resource Management
  • Design and Analysis of Algorithms
  • Basics of Programming
  • Reinforcement Learning
  • Research Method
 
Publications
Journal Papers:
  • Studying the Effects of Systemic Inflammatory Markers and Drugs on AVF Longevity through a Novel Clinical Intelligent Framework, IEEE Journal of Biomedical and Health Informatics, 2020, vol. 24, issue 11 (Authors: Akram Nakhaei, Mohammad Mehdi Sepehri, Pejman Shadpour, Toktam Khatibi)
 
  • Predicting Arteriovenous Fistula Non-Maturation in Hemodialysis Patients: Analytics of Inflammatory Markers and Serum Metabolic Values, International Journal of Hospital Research, 2020, vol. 9, issue 3 (Authors: Akram Nakhaei, Mohammad Mehdi Sepehri, Pejman Shadpour, Morteza Khavanin Zadeh)
 
  • A promising method for handling attributes and class noises in medical data,  International Journal of Hospital Research, 2023, vol. 12, issue 1 (Authors: Akram Nakhaei, Mohammad Mehdi Sepehri, Toktam Khatibi)
 
  • Impact of preoperative blood pressure levels on arteriovenous fistula failure, Iranian Journal of Vascular Surgery and Endovascular Therapy, 2021, vol. 1, issue 2 (Authors: Amir Bahrami-Ahmadi, Haleh Chehrehgosha, Morteza Khavanin Zadeh, Akram Nakhaei)
Conference Papers:
Books:
 
Supervised Dissertations and Theses
 
Research Projects

·       “Design, implementation, and evaluation of a neural network model to analyze and evaluate the main competencies of medical students,” Birjand University of Medical Sciences (In progress).

·       “Identification of drug targets for the treatment of acute renal failure,” Iran University of Medical Sciences (2023).

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