Dr. Naghmeh Niroomand

Work at ZHAW

Position

Senior Research Associate

Focus

Techno-Energy, Transportation (Digital Twins), Health, Artificial intelligence and Machine learning: deep learning, choice Modeling, Applied Microeconomics

Education and Continuing education

Education

Ph.D. / Techno-Energy
Economics
10 / 2010 - 07 / 2016

Network

Membership of networks

• Sustainability Transitions Research Network
• European Consortium for Political Research
• Open Energy Modeling Initiative
• AI Planet: global AI community-LLMs
• CLAIRE, the Confederation of Laboratories for Artificial Intelligence Research in Europe

Media presence

• Swiss cars travel further than expected
• EMPA IS DEVELOPING ARTIFICIAL INTELLIGENCE THAT ANALYZES THE CO₂ EMISSIONS OF VEHICLES
• New AI method analyzes Swiss fleet consumption
• Swiss fleet remains emissions-intensive
• Passenger cars: Automobile class society
• Swiss AI analyzes car emissions
• EMPA CALCULATES CO2 EMISSIONS FROM CARS USING A NEW METHOD
• Empirical automobile class sizes
• Electricity Transmission in Nepal’s Electricity Grid
• Valuing Life on the Road
• Artificial Intelligence Revolutionizes Mileage Estimation in the Automotive Industry

Projects

• Decision Based Tools for the Climate Resilience of Real Estate / Team member / Project ongoing
• Climate Rating for Real Estate Portfolios / Team member / Project ongoing
• Decarbonisation path and Equipment Control Optimization of Swiss fleet / Project leader / Project completed
• Techo-Energy Economic Analysis of Electric Vehicle Gird Integration / Project leader / Project completed

Publications

• Niroomand, Naghmeh; Bach, Christian,

  2024.

  Estimating average vehicle mileage for various vehicle classes using polynomial models in deep classifiers.

  IEEE Access.

  12, pp. 17404-17418.

  Available from: https://doi.org/10.1109/ACCESS.2024.3359990

• Niroomand, Naghmeh; Bach, Christian; Elser, Miriam,

  2021.

  Robust vehicle classification based on deep features learning.

  IEEE Access.

  9, pp. 95675-95685.

  Available from: https://doi.org/10.1109/ACCESS.2021.3094366

• Niroomand, Naghmeh; Bach, Christian; Elser, Miriam,

  2021.

  Segment-based CO2 emission evaluations from passenger cars based on deep learning techniques.

  IEEE Access.

  9, pp. 166314-166327.

  Available from: https://doi.org/10.1109/ACCESS.2021.3135604

• Niroomand, Naghmeh; Bach, Christian; Elser, Miriam,

  2021.

  Vehicle dimensions based passenger car classification using fuzzy and non-fuzzy clustering methods.

  Transportation Research Record: Journal of the Transportation Research Board.

  2675(10), pp. 184-194.

  Available from: https://doi.org/10.1177/03611981211010795

• Niroomand, Naghmeh; Jenkins, Glenn P.,

  2020.

  Averting expenditures and willingness to pay for electricity supply reliability.

  Journal of Benefit-Cost Analysis.

  11(3), pp. 501-523.

  Available from: https://doi.org/10.1017/bca.2020.25

• Niroomand, Naghmeh; Jenkins, Glenn P.,

  2020.

  Estimation of households' and businesses' willingness to pay for improved reliability of electricity supply in Nepal.

  Energy for Sustainable Development.

  55, pp. 201-209.

  Available from: https://doi.org/10.1016/j.esd.2020.02.006

• Niroomand, Naghmeh; Jenkins, Glenn P.,

  2018.

  A comparison of stated preference methods for the valuation of improvement in road safety.

  Economic Analysis and Policy.

  59, pp. 138-149.

  Available from: https://doi.org/10.1016/j.eap.2018.06.006

• Niroomand, Naghmeh; Jenkins, Glenn P.,

  2017.

  Estimating the value of life and injury for pedestrians using a stated preference framework.

  Journal of Safety Research.

  2017(62), pp. 81-87.

  Available from: https://doi.org/10.1016/j.jsr.2017.06.006

• Niroomand, Naghmeh; Jenkins, Glenn P.,

  2016.

  Estimating the value of life, injury, and travel time saved using a stated preference framework.

  Accident Analysis & Prevention.

  2016(91), pp. 216-225.

  Available from: https://doi.org/10.1016/j.aap.2016.03.004

• Niroomand, Naghmeh; Bach, Christian; Elser, Miriam,

  2023.

  Deep learning techniques utilized for assessing CO2 emissions of Swiss passenger cars [poster].

  In:

  Mobility Research and Innovation in Switzerland Workshop, Biel, Switzerland, 12 September 2023.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-29785

• Niroomand, Naghmeh,

  2021.

  Schweizer Flotte bleibt emissionsintensiv.

  gaz energie : Portal für klimafreundlichere Mobilität.

  Available from: https://www.cng-mobility.ch/beitrag/schweizer-flotte-bleibt-emissionsintensiv/

• Niroomand, Naghmeh,

  2021.

  Mittelklasse oder Oberklasse?.

  Empa Quarterly.

  (72), pp. 6.

  Available from: https://www.empa.ch/documents/56164/17471769/211601_Empa_Quarterly72_DE_Web.pdf/d8d3086c-ec1c-4bdd-aa1f-bc5b34605f7c

• Niroomand, Naghmeh; Jenkins, Glenn P.,

  2021.

  Averting expenditures and willingness to pay for electricity supply reliability.

  Benefit-Cost Analysis Blog.

  Available from: https://sbca.memberclicks.net/index.php?option=com_dailyplanetblog&view=entry&year=2021&month=05&day=17&id=75

Publications before appointment at the ZHAW

• Niroomand, N., Jenkins P.G., 2018. Parametric and Non-Parametric Models to Estimate Households and Businesses' Willingness to Pay for Reliable Electricity Supply, Oral presentation in Energy Economics. 52nd Annual Conference of the Canadian Economics Association, McGill University, Montréal, Québec, Canada.
• Niroomand, N., Jenkins P.G., 2018. The Measurement of the Willingness to Pay for Improved Electricity Service, Oral presentation in Energy Economics. 10th Annual Conference and Meeting, the Society for Benefit-Cost Analysis (SBCA), Washington DC., USA.
• Niroomand, N., Jenkins P.G., 2017. Willingness to Pay for Reliable Electricity Supply in Nepal, Oral presentation in Energy Economics. 3rd International Conference on Applied Economics and Finance, Kyrenia, North Cyprus.
• Niroomand, N., and Jenkins P.G., 2015. Estimating the Value of Life, Injury and Travel Time Saved in North Cyprus Using a Stated Choice Framework, Oral Presentation. The 1st International Conference on Applied Economics and Business, Tehran, Iran.
• Niroomand, N., 2012. The Macroeconomic Impact of the Rise in Oil Prices between GCC Countries. The 13th International Conference on Econometrics, Operations Research, and Statistics, North Cyprus.
• Cyprus-Turkish Airlines, Strategic Management Simulation, ISBN 978-3-659-59472-4
• Organizational Citizenship Behaviour, Cultural and Hierarchical Differences among University Employees, ISBN 978-3-659-48686-9
• Radpay, B., Boloursaz, M., Parsa, T., Goldasteh, A., Niroomand, N., 2009. Whole Lung Lavage Under Cardio - Pulmonary By - Pass for Treatment of Pulmonary Alveolar Proteinosis-Report Of 9 Cases at Masih Daneshvari Medical Center and Review of Its Risks and Benefits. The 83rd International Anesthesia Research Society Conference, San Diego, CA, USA.
• Radpay, B., Hashemian, M.R., Niroomand, N., Dabir, SH, Goldasteh, A., 2009. Evaluation of Blood Glucose and Electrolytes Disturbances Among Brain-Dead Organ Procurement Candidates, a 2 Year Study at Masih Daneshvary Medical Center, Tehran, Iran. The 83rd International Anesthesia Research Society Conference, San Diego, CA, USA.
• Niroomand, N., Radpay, B., 2008. Questions and Answers about Pain Control: A Guide for People with Cancer and their Families-National Cancer Institute (USA). National Research Institute of Tuberculosis and Lung Disease, (NRITLD). Shaheed Beheshti University of Medial Sciences, National number 1254566.
• Radpay, B., Hashemian, M.R., Niroomand, N., Dabir, SH., Parsa, T., Goldasteh, A., 2008. Blood Glucose Disturbances in Brian Dead, Organ Procurement Donors-A Two Year Study at Masih Daneshvari Medical Center, The 11th Congress of the Middle East Society for Organ Transplantation, Shiraz, Iran.
• Hashemian, M.R., Radpay, B., Niroomand, N., Malek Mohamad, M., Goldasteh, A., 2008. Electrolyte Disturbances in Brian Dead, Organ Procurement Donors – A Two Year Study at Masih Daneshvari Medical Center. The 11th Congress of the Middle East Society for Organ Transplantation, Shiraz, Iran.

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