Resume

• 2017

  Post-Doctoral Associate

  University of Toronto - Rotman School of Management

• 2013

  Doctor of Philosophy (PhD)

  Transportation/Mobility Management

  University of Toronto

• 2012

  Master of Science (M.Sc.)

  Transportation Engineering

  University of Toronto

• 2007

  Bachelor of Applied Science (B.A.Sc.)

  Civil Engineering

  Sharif University of Technology

• Transportation Planning

  Civil Engineering

  Microsoft Office

  Transportation Engineering

  Microsoft Excel

  AutoCAD

  Truck parking in urban areas: Application of choice modelling within traffic microsimulation

  Khandker Nurul Habib

  This paper develops a method for investigating the potential impact of truck parking policy in urban areas. My contribution was the development of an econometric parking choice model that accounts for parking type and location. A traffic simulation module was developed that incorporates the parking choice model to select suitable parking facilities/locations. The models are demonstrated to evaluate the impact of dedicating on-street parking in a busy street system in the Toronto CBD. The results of the study show lower mean searching time for freight vehicles when some streets are reserved for freight parking

  accompanied by higher search and walking times for passenger vehicles.

  Truck parking in urban areas: Application of choice modelling within traffic microsimulation

  Habibollah Nassiri

  Hossain Poorzahedy

  Ali Edrissi

  European Journal of Operational Research

  Natural earthquake disasters are unprecedented incidents which take many lives as a consequence and cause major damages to lifeline infrastructures. Various agencies in a country are responsible for reducing such adverse impacts within specific budgets. These responsibilities range from before to after the incident

  targeting one of the main phases of disaster management (mitigation

  preparedness

  and response). Use of OR in disaster management and coordination of its phases has been mostly ignored and highly recommended in former reviews. This paper presents a formulation to coordinate three main agencies and proposes a heuristic approach to solve the different introduced sub-problems. The results show an improvement of 7.5–24% when the agencies are coordinated.

  A multi-agent optimization formulation of earthquake disaster prevention and management

  Nourinejad

  Nourinejad

  University of Toronto - Rotman School of Management

  Toronto

  Canada Area

  Postdoctoral Fellow

  University of Toronto - Rotman School of Management