Hossein Kashani Zadeh

ME490 Aerospace Structures - fall 2023

ME323 and ME323L Machine Component Design and lab - spring 2023 and 2024

ME483 Mechanical Measurements Lab - fall 2022, summer and fall 2023

ME418L Manufacturing Processes Lab - spring & summer 2023

ME101 Introduction to Mechanical Engineering - fall 2022 and spring 2023

Machine learning and artificial intelligence to assess food quality using multimode spectroscopy

Machine learning and multimode imaging in precision agriculture

finite element analysis and optimization of metal forming processes

aircraft engines structural analysis and testing

gas turbine tip clearance analysis

Hossein Kashani Zadeh, Mike Hardy, Mitchell Sueker, Yicong Li, Angelis Tzouchas, Nicholas MacKinnon, Gregory Bearman, Simon A. Haughey, Alireza Akhbardeh, Insuck Baek, Chansong Hwang, Jianwei Qin, Amanda M. Tabb, Rosalee S. Hellberg, Shereen Ismail, Hassan Reza, Fartash Vasefi, Moon Kim, Kouhyar Tavakolian, Christopher T. Elliot; 2023. Rapid assessment of fish freshness from multiple supply-chain nodes using multi-mode spectroscopy and fusion-based artificial intelligence; Sensors MDPI; 23, 5149. https://doi.org/10.3390/s23115149

Shereen Ismail, Hassan Reza, Khouloud Salameh, Hossein Kashani Zadeh, Fartash Vasefi; 2023. Toward an Intelligent Blockchain IoT-Enabled Fish Supply Chain: A Review and Conceptual Framework; Sensors MDPI Journal; 23(11), 5136; Internet of Things Section; https://doi.org/10.3390/s23115136

Hamed Taheri Gorji, Jo Ann Van Kessel, Kaylee Husarik, Seyed Mojtaba Shahabi, Hossein Kashani Zadeh, Diane E. Chan, Jianwei Qin, Insuck Baek, Moon S. Kim, Alireza Akhbardeh, Mona Sohrabi, Brick Kerge, Fartash Vasefi, Nicholas MacKinnon, Kouhyar Tavakolian; 2022. Deep Learning and Multiwavelength Fluorescence Imaging for Cleanliness Assessment and Disinfection in Food Services; Frontiers in Sensors journal; Vol 3; https://doi.org/10.3389/fsens.2022.977770

Mitchell Sueker; Amirreza Daghighi*, Alireza Akhbardeh, Nicholas MacKinnon, Gregory Bearman,Insuck Baek, Chansong Hwang, Jianwei Qin, Amanda M. Tabb, Rosalee S. Hellberg, Fartash Vasefi, Moon Kim; Hossein Kashani Zadeh; 2023; Fish species identification using multi-mode spectroscopy and a sub-model technique; in preparation;

Mike Hardy, Hossein Kashani Zadeh, Angelis Tzouchas, Fartash Vasefi, Nicholas MacKinnon, Gregory Bearman, Simon A. Haughey, Christopher T. Elliott; Freshness in Seafood by Handheld Devices 2: Methods in Feature Selection and Data Fusion for Spectroscopy; in preparation;

Zadeh, H.K., M. Mashhadi, 2005. Analysis of tube hydroforming parameters with FEM for several cross-section Tehran International Congress on Manufacturing Engineering (TICME2005).

Zadeh, H.K., M.M. Mashhadi, 2006. Finite element simulation and experiment in tube hydroforming of unequal T shapes J. Mater. Process. Technol. , 177 (177): 684-687.

Faraji, G., Kashanizadeh, M. Mosavi, M.K. Besharati, 2006. Experimental and Finite Element Analysis of Metal Bellows Manufacturing Aero. Mech. J , 2 (2): 41-49.

Smith, S., D. Killing, F. Saleh, Kashani-Zadeh, I.Y. Kim, 2007. Design optimization of zero-emission vehicle chassis.

KASHANI, Z.H., M.M. MOUSAVI, 2007. Finite Element Simulation and Experiment in Tube Hydro-Forming of Aluminum T-shapes.

Mohammadi, F., Kashanizadeh, M.M. Mashadi, 2007. Optimization using finite element analysis, neural network, and experiment in tube hydroforming of Aluminium T joints Proc. Inst. Mech. Eng. Pt. B: J. Eng. Manuf. , 221 (221): 1299-1305.

Faraji, G., M.K. Besharati, M. Mosavi, Kashanizadeh, 2008. Experimental and finite element analysis of parameters in manufacturing of metal bellows The International Journal of Advanced Manufacturing Technology , 38 (38): 641-648.

Kashani Zadeh, H., I.Y. Kim, J. Jeswiet, 2009. Nonlinear finite element analysis of metal powder die compaction using various plasticity models Trans North Am Manuf Res Inst SME , 37 (37): 357-363.

Kashani Zadeh, H., I.Y. Kim, J. Jeswiet, 2010. Improving computational efficiency and stability of material models for finite element analyses of metal powder compaction Trans North Am Manuf Res Inst SME , 38 (38): 623-631.

Zadeh, H.K., 2010. Finite element analysis and experimental study of metal powder compaction. Queen's University.

Zadeh, H.K., J. Jeswiet, I.Y. Kim, 2013. Improvement in robustness and computational efficiency of material models for finite element analysis of metal powder compaction and experimental validation The International Journal of Advanced Manufacturing Technology , 68 (68): 1785-1795.

Toastmasters Vice President of Education at North York Project Management Toastmasters club, 2014

Board of Directors, IAUT, University of Toronto, 2017-2018 year

Tirgan Event Organizer, summer 2015

Pratt & Whitney awards for outstanding contributions; 2 times

Won NAMRAC37 (2019 North American Manufacturing Research Annual Conference) outstanding paper award

Co-chair of metal forming session at NAMRC37, 2010

Toastmasters International Speech Contest winner at Area level, 2021

Volunteer, mentored foster kids at Step Stones for Youth, 2013

Delivered emotional / crisis support at Toronto Distress Center Helpline, 2013

Sarv concerts lead vocalist, 2012-2014

Heart Lake Dragon boat competition champion, 2013

Doctor of Philosophy (PhD), Mechanical Engineering: FEA and Testing in Metal Powder Compaction, Queen's University, Kingston, ON, 2006-2010, supervisors: Il Yong Kim; Jack Jeswiet

• Developed and implemented novel method in numerically solving metal powder compaction material constitutive equations and increased efficiency, robustness, and accuracy by ABAQUS subroutine coding.
• Demonstrated improvement in density distribution prediction accuracy by validation of proposed model by designing and manufacturing of compaction tooling, instrumenting with strain gauges and controlling 40-ton press by LabView DAQ system. Published article at Advanced Manufacturing Technology Journal.

Master of Science (MSc), Mechanical Engineering: FEA, Testing and Optimization of Tube Hydroforming, University of Tehran, Iran, 2003-2005, supervisor: Mahmoud Mosavi Mashadi

• Decreased Toos Inc scrap costs from bursts, wrinkles, and cracks by 7% by determining optimum internal pressure, feed displacement, and punch force profiles. Simulated tube-hydroforming of Aluminum and Steel T-Joints and copper bellows using ANSYS and ABAQUS and validated results at 2 different facilities.
• Analyzed tube and sheet metal bending by ABAQUS and transferred knowledge to team’s MSc students.

Bachelor of Science (BSc), Mechanical Engineering, Amir Kabir University, Iran, 1999-2003

University of North Dakota, Assistant Professor, Grand forks, ND, US                     August 2022 - now

SAFETY SPECT, Grand forks, ND, US                                                                          April 2021 - now

Data Science Manager

• Classified with 95+% accuracy fish fillets for specie and freshness identification through multimodal hyperspectral imaging and fusion-based machine learning
• Implementing Federated Learning for above industries
• Supervising four graduate students Mitchell Sueker, Amirreza Daghighi, Cole Levine and Mahdi Saeedi

SENECA COLLEGE SCHOOL OF AVIATION, Toronto, ON, Canada                                                 Winter 2021

Lecturer in Mechanics of Materials and Materials Science                                                          

Pratt & Whitney, Aerospace Manufacturer, Toronto, ON, Canada                              2010 - 2020

Senior Structural Analyst at Static Structures Department                                      2010 - 2014

Analyzed aircraft engines’ compressor / turbine parts and assemblies for stress, LCF/HCF life, stiffness and weight minimization. Simulated pressurized cases, flanges, bolts and bosses. Created Design of Experiments (DOE) and new processes, dispositioned deviations / concessions and trained team.

• Analyzed gas generator cases (pressure vessels) bolted flanges and bosses for LCF and weight reduction using ANSYS Workbench and APDL
• Simulated impact of rotor to case using LS-Dyna and HyperWorks to minimize weight while ensuring safety
• Promoted Technology Readiness Level (TRL) of rotor tip to case clearance calculations: Created structural-thermal transient FEM and simulated large assembly full engine deflections using ANSYS
• Cut Specific Fuel Consumption (SFC) by reducing compressor tip clearance at Design Point for Next Generation Regional Turboprop (NGRT) through integrating tip clearance analysis with initial engine design process and devising optimum configuration. Verified success by compressor rig test.
• Saved damage, service interruptions and overhaul costs by preventing impeller shroud creep
• Increased bearing housing stiffness prediction accuracy through simulation and validation by proposal and execution of structural rig testing, enhancing Rotor Dynamic department’s full-engine vibrational model.
• Cut shape optimization time by linking CATIA, ANSYS APDL and MATLAB optimization module, attaining target stiffness, minimizing weight and maximizing Low and High Cycle Fatigue (LCF/HCF) life.
• Lowered PT6 turbine case weight by blade impact / shock analysis using LS-DYNA and Hyperworks.
• Cut overhaul costs by accurately finding engine case bolted flange LCF life using ANSYS.
• Found LCF life with more accuracy by ANSYS sub-modelling of high-stress-gradient bosses on case.

Senior PW300 / 500 / 600 / 800 Turbofan Engines Test Project Engineer       2015 - 2020

Managed million-dollar test projects, coordinated 20+ department, partner, and customer specialists and met aggressive schedule, scope, and resource requirements as Subject Matter Expert (SME).

• Achieved 20% more accuracy in forecasting PW300 and PW800 aircraft engines’ Oil Filter Delta Pressure (OFDP) and Inter-Turbine Temperature (ITT) in flight data using Machine Learning (ML) Auto Regressive Integrated Moving Average ARIMA in lieu of Locally Weighted Scatterplot Smoothing (LOWESS) resulting in service cost cuts.
• Identified parameters contributing to PW300 aircraft engines’ low Specific Fuel Consumption (SFC) and high vibrations using ML Decision Trees algorithms resulting in reducing costs of repeating engine builds.
• Ended 2 years failure and spending in sealing PW800 engine to aircraft interface, fulfilled certification, and won recognition award by identifying leak root cause and resolving issue by modifying order of assembly.
• Decreased number of In-Flight-Shut-Downs and Fan Case detachment from JT15D engines after bird strikes from 5 to 0 by conducting structural rig test and stiffening weak location with minimal disruption / cost.
• Mitigated million-dollar asset, Mid Turbine Frame, oil seepage by leading Integrated Product Teams (ITPs) and delivering 3 PW800 engine tests with numerous and complex instruments, including newly devised oil detection probes and routed successfully despite high temperature Air / Oil flow and tight space.
• Validated, industrialized, and certified turbofans experimentally using product designs, improvements, assembly, test, and substantiation tools by inspecting quality, detecting discrepancy, and examining root cause.

Structures Rig Test Project Engineer for Engine Components                         2014 - 2015

Managed complex engine component structural / thermal testing projects as SME in technical, schedule and data quality aspects per Test Requests’ instruments and measurement requirements. Executed component stress tests, load application, data acquisition, and verification. Upgraded safety protocols and automated for 24-hour operation.

• Achieved more accuracy in FEM process of PW800 engine bearing housing stiffness calculation by design and manufacture of Test Section components, instrumentation, assembly and installation of actuators and Data Acquisition system. Revealed multi-physics of problem and identified FEM flaws.
• Managed risk, met aggressive 2-week deadline and delivered challenging LCF / ultimate load tests by estimating field’s PW150 engine cases crack propagation rates and confirmed flight safety till fleet overhaul.

Lecturer

• Mechanics of Materials and Materials Science, Winter 2021, Seneca College school of Aviation
• Manufacturing Processes, Winter 2009, Queen’s University, Department of Mechanical and Materials Engineering

System and method for assessing product; Application; Publication/Patent Number: US20230142722A1; Publication Date: 2023-05-11; Application Number: US17/980,996; Filing Date: 2022-11-04; Inventor: Vasefi, Fartash; Barton, Kenneth Edward; Bearman, Gregory; Kashani Zadeh, Hossein; Akhbardeh, Alireza; Assignee: SafetySpect Inc.; IPC: G01N33/12;

Our group is looking for a motivated, hardworking and energetic graduate student who is willing to make a difference and impact the academic world.

Please send me an email with the title "application for Masters/PhD position" with your CV attached. In the body of your email please indicate the following in bold.

1. Program of study sought: Masters or PhD
2. University attended for undergrad, GPA
3. University attended for masters degree if applicable, GPA
4. List of publications