Hossein Kashani Zadeh

AE423 - Aerospace Structures - fall 23-25

ME323 & ME323L - Machine Component Design and lab - spring 23-25

ME483 - Mechanical Measurements Lab - fall & summer 22-25

ME487-488 - Mechanical Engineering Senior Design - fall & spring 22-25

ME418L - Manufacturing Processes Lab - spring & summer 23

ME101 - Introduction to Mechanical Engineering - fall 22 & spring 23

BME281 - BioMechanics Innovation-Based Learning - Spring 24

ME??? - Machine Learning in Engineering - Spring 25 (pilot)

Multi-mode spectroscopy and ML to assess food safety, quality and compliance

Hyperspectral and fluorescence imaging to monitor the health of plants in space

Multi-spectral fluorescence imaging and analysis to detect biofilms on surfaces

Finite element analysis, optimization and testing of aircraft engine structures

Aircraft engine certification testing

Finite element analysis of metal forming processes

Peer-Reviewed Journal Publications

[1] Mitchell Sueker, Nicholas MacKinnon, Gregory Bearman, Amanda Tabb, Diane Kim, Rosalee S. Hellberg, Alireza Akhbardeh, Hamidreza Marateb, Jianwei Qin, Moon Kim, Fartash Vasefi, Hossein Kashani Zadeh; 2025, “FISH-SPEC: Fast Identification System for Handheld Spectroscopy and Species Classification”; Applied Food Research; 5(2):101536; DOI: https://doi.org/10.1016/j.afres.2025.101536; Q1, SJR 1.073, H-Index 27

[2] Mahsa Aliee, Hamid Reza Marateb, Fartash Vasefi, Hossein Kashani Zadeh, Benjamin Hu, Kaylee Yaggie, Moon S. Kim, Insuck Baek, Kouhyar Tavakolian and Bo Liang; Fluorescence Imaging and Machine Learning for Surface Contamination Detection: A Comparative Study with ATP Testing; Journal of Biosystems Engineering. Q2, SJR 0.443, H-Index 16

[3] Zandi, A., Hosseinirad, S., Kashani Zadeh, H., Cho, B.-K., Vasefi, F., Kim, M. S., and Tavakolian, P., 2025, “A Systematic Review of Multi-Mode Analytics for Enhanced Plant Stress Evaluation,” Front. Plant Sci., 16. https://doi.org/10.3389/fpls.2025.1545025. Q1, SJR 1.163, H-Index 246

[4] Hardy, M., Kashani Zadeh, H., Tzouchas, A., Vasefi, F., MacKinnon, N., Bearman, G., Sokolov, Y., Haughey, S. A., and Elliott, C. T., 2024, “Freshness in Salmon by Hand-Held Devices: Methods in Feature Selection and Data Fusion for Spectroscopy,” ACS Food Sci. Technol., 4(12), pp. 2813–2823. https://doi.org/10.1021/acsfoodscitech.4c00331. Q2, SJR 0.593, H-Index 24

[5] Sueker, M., Daghighi, A., Akhbardeh, A., MacKinnon, N., Bearman, G., Baek, I., Hwang, C., Qin, J., Tabb, A. M., Roungchun, J. B., Hellberg, R. S., Vasefi, F., Kim, M., Tavakolian, K., and Kashani Zadeh, H., 2023, “A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy,” Sensors, 23(22), p. 9062. https://doi.org/10.3390/s23229062. Q1, SJR 0.764, H-Index 273

[6] Kashani Zadeh, H., Hardy, M., Sueker, M., Li, MacKinnon, N., Bearman, G., Haughey, S. A., Akhbardeh, A., Baek, I., Hwang, C., Qin, J., Tabb, A. M., Hellberg, R. S., Ismail, S., Reza, H., Vasefi, F., Kim, M., Tavakolian, K., and Elliott, C. T., 2023, “Rapid Assessment of Fish Freshness for Multiple Supply-Chain Nodes Using Multi-Mode Spectroscopy and Fusion-Based Artificial Intelligence,” Sensors, 23(11), p. 5149. https://doi.org/10.3390/s23115149. Q1, SJR 0.764, H-Index 273

[7] Ismail, S., Nouman, M., Reza, H., Vasefi, F., and Zadeh, H. K., 2024, “A Blockchain-Based Fish Supply Chain Framework for Maintaining Fish Quality and Authenticity,” IEEE Transactions on Services Computing, 17(5), pp. 1877–1886. https://doi.org/10.1109/TSC.2024.3422897. Q1, SJR 1.441, H-Index 95

[8] Ismail, S., Reza, H., Salameh, K., Kashani Zadeh, H., and Vasefi, F., 2023, “Toward an Intelligent Blockchain IoT-Enabled Fish Supply Chain: A Review and Conceptual Framework,” Sensors, 23(11), p. 5136. https://doi.org/10.3390/s23115136. Q1, SJR 0.764, H-Index 273

[9] Gorji, H. T., Van Kessel, J. A. S., Haley, B. J., Husarik, K., Sonnier, J., Shahabi, S. M., Zadeh, H. K., Chan, D. E., Qin, J., Baek, I., Kim, M. S., Akhbardeh, A., Sohrabi, M., Kerge, B., MacKinnon, N., Vasefi, F., and Tavakolian, K., 2022, “Deep Learning and Multiwavelength Fluorescence Imaging for Cleanliness Assessment and Disinfection in Food Services,” Front. Sens., 3. https://doi.org/10.3389/fsens.2022.977770. Q2, SJR 0.566, H-Index 11

[10] Taheri Gorji, H., Saeedi, M., Mushtaq, E., Kashani Zadeh, H. Qin, J., Chan, D. E., Baek, I., Kim, M. S., Akhbardeh, A., Sokolov, S., Avestimehr, S., MacKinnon, N., Vasefi, F., and Tavakolian, K., 2023, “Federated Learning for Clients’ Data Privacy Assurance in Food Service Industry,” Applied Sciences, 13(16), p. 9330. https://doi.org/10.3390/app13169330. Q2, SJR 0.521, H-Index 162

[11] Zadeh, H. K., Jeswiet, J., and Kim, I. Y., 2013, “Improvement in Robustness and Computational Efficiency of Material Models for Finite Element Analysis of Metal Powder Compaction and Experimental Validation,” Int J Adv Manuf Technol, 68(5), pp. 1785–1795. https://doi.org/10.1007/s00170-013-4977-y. Q1, SJR 0.706, H-Index 175

[12] Mohammadi, F., Kashanizadeh, H., and Mashadi, M. M., 2007, “Optimization Using Finite Element Analysis, Neural Network, and Experiment in Tube Hydroforming of Aluminium T Joints,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 221(8), pp. 1299–1305. https://doi.org/10.1243/09544054JEM741. Q2, SJR 0.581. H-Index 85

[13] Kashani Zadeh, H., and Mashhadi, M. M., 2006, “Finite Element Simulation and Experiment in Tube Hydroforming of Unequal T Shapes,” Journal of Materials Processing Technology, 177(1), pp. 684–687. https://doi.org/10.1016/j.jmatprotec.2006.04.056. Q1, SJR 1.885, H-Index 239

Journal Papers under review

[1] Benjamin Hu, Mahsa Aliee, Seyedali Hosseinirad, Ashley Boomer, Insuck Baek, Moon S. Kim, Fartash Vasefi, Jitendra Patel, Hossein Kashani Zadeh; Multispectral Fluorescence Imaging to Detect and Ultraviolet C to Disinfect Single and Dual-Species Bacterial Biofilm on Abiotic Surfaces; Journal of Food Protection; Revised manuscript under review. Q2, SJR 0.650, H-Index 157

Peer-Reviewed International Conferences

SPIE. Defense+Commercial Sensing; 13-17 April 2025; Orlando, Florida, USA

[1] Freshness assessment of beef and lamb using handheld multimode spectroscopy and machine learning; Sayed Asaduzzaman, Shereen Ismail, Kasey Carlin, Erin Beyer, Travis Hoffman, Mitchell Sueker, Yasser Ahmed, Hamid Reza Marateb, Fartash Vasefi, Hossein Kashani Zadeh; Abstract and oral presentation;

[2] Federated learning-based outbreak risk assessment model with holistic data input and edge computing sensors for food processing Facilities; Kouhyar Tavakolian, Dina Miqdadi, Kaylee Husarik, Hamed Taheri Gorji, Hamid Reza Marateb, Hossein Kashani Zadeh, Fartash Vasefi, Moon S. Kim; Abstract and oral presentation;

[3] MoonLight: Plant health monitoring system for space crop production; Abdolrahim Zandi, Jianwei Qin, Diane E. Chan, Insuck Baek, Moon S. Kim, Fartash Vasefi, Hossein Kashani Zadeh, Kouhyar Tavakolian, Pantea Tavakolian; Abstract and oral presentation;

[4] Capillary magneto-hydrodynamic pump for space crop irrigation; Abdolrahim Zandi, Hossein Kashani Zadeh, Kouhyar Tavakolian, Pantea Tavakolian; Abstract and poster presentation;

[5] Novel multimode spectroscopy handheld system for real-time abiotic plant stress evaluation; Abdolrahim Zandi, Hossein Kashani Zadeh, Seyedali Hosseinirad, Kouhyar Tavakolian, Insuck Baek, Moon S. Kim, Fartash Vasefi, Pantea Tavakolian; Abstract and poster presentation;

[6] Multispectral fluorescence imaging systems to detect and deactivate biofilm in-situ; Benjamin Hu, Seyedali Hosseinirad, Ashley Boomer, Mahsa Aliee, Insuck Baek, Jianwei Qin, Moon S. Kim, Fartash Vasefi, Hossein Kashani Zadeh, Jitendra Patel; Abstract and poster presentation;

[7] FISH-SPEC: Fast identification system for handheld spectroscopy and species classification; Mitchell Sueker, Nicholas MacKinnon, Gregory Bearman, Amanda Tabb, Diane Kim, Rosalee S. Hellberg, Alireza Akhbardeh, Hamid Reza Marateb, Jianwei Qin, Moon S. Kim, Fartash Vasefi, Hossein Kashani Zadeh; Abstract and poster presentation;

SPIE. Defense+Commercial Sensing; 21-25 April 2024; National Harbor, MD, USA

[8] Benjamin Hu, Luke Woods, Fartash Vasefi, Hossein Kashani Zadeh, Multiwavelength fluorescence imaging system to supplement Adenosine tri-phosphate (ATP) swab tests in contamination detection in kitchen settings; Abstract and poster presentation;

[9] Hossein Kashani Zadeh, Fartash Vasefi, Moon Kim, Kouhyar Tavakolian, Multimode Spectroscopy for Food Quality Adulteration and Traceability (QAT) Applications; Abstract and oral presentation;

[10] Mitchell Sueker, Sayed Asaduzzaman, Nicholas MacKinnon, Gregory Bearman, Rosalee S. Hellberg, Yasser Ahmed, Jianwei Qin, Moon Kim, Fartash Vasefi, Kouhyar Tavakolian, Hossein Kashani Zadeh, Fish Fillet Species Identification and Quality Assessment using Multi-mode Spectroscopy and Machine Learning; Abstract & poster;

[11] Sayed Asaduzzaman, Gregory Bearman, Stanislav Sokolov, Jianwei Qin, Moon Kim, Fartash Vasefi, Hossein Kashani Zadeh, Identification of Bacterial Leaf Streak and Scab in Wheat using Multi-Mode Imaging and Deep learning; Abstract and poster presentation;

[12] Shereen Ismail, Mitchell Sueker, Hassan Reza, Fartash Vasefi, Hossein Kashani Zadeh, Seafood Quality, Adulteration & Traceability Technology Integrated with Blockchain Supply Chain; Abstract, poster and full paper;

Other Peer-Reviewed International Conferences

[13] Hamed Taheri Gorji, Mahdi Saeedi, Hossein Kashani Zadeh, Kaylee Husarik, Jianwei Qin, Diane E. Chan, Insuck Baek, Moon S. Kim, Alireza Akhbardeh, Stanislav Sokolov, Nicholas MacKinnon, Fartash Vasefi, Kouhyar Tavakolian; Federated Learning for Contamination Detection and Data Privacy in Food Service Industry; SPIE Conference Feb. 2023; Abstract and full paper;

[14] 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.

[15] 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.

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

Pratt & Whitney awards for outstanding contributions; 2 times

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

Co-chair of metal forming session at NAMRC37, 2010

Doctor of Philosophy (PhD), Queen's University (Canada), Mechanical Engineering, 2006-2010

Master of Science (MSc), University of Tehran, Mechanical Engineering, 2003-2005

Bachelor of Science (BSc), Tehran Polytechnic, Mechanical Engineering,  1999-2003

Data Science Manager at Safety Spect                                                                     April 2021 - now

Lecturer at Seneca College School of Aviation, Toronto, ON, Canada                                Winter 2021

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, low/high cycle fatigue (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.

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