@inproceedings{kiassat, phd, mba, pe_2024, title={Reimagining Industrial Engineering: Embedding Sustainability and Societal Impact in Course Design}, url={http://dx.doi.org/10.18260/1-2--47935}, DOI={10.18260/1-2--47935}, abstractNote={Abstract This work presents ongoing efforts to embed sustainability and societal impact into the Industrial Engineering (IE) program at Quinnipiac University (QU). QU's strategic emphasis on sustainability aligns with its commitment to community engagement and industry partnerships, providing fertile ground for the integration of sustainability principles into academic programs. In the Fall 2023 semester, the Lean Systems Engineering course was restructured to emphasize sustainability, integrating Lean Green examples and sustainability components throughout the curriculum. Guest speakers, including experts in Lean Green initiatives, enriched class discussions, providing real-world insights. Class activities, such as presentations and discussions, further reinforced the connection between Lean principles and sustainability goals. Additionally, a final project with a biofuel company offered students hands-on experience in streamlining sustainable processes. Feedback from both students and the industry partner was positive, affirming the effectiveness of integrating sustainability into the curriculum. Student responses indicated a significant shift in their perception of the role of engineers in addressing environmental challenges. Statistical analysis revealed a meaningful impact on student attitudes towards sustainability. Looking ahead, the author is spearheading initiatives to build on this momentum, including the formation of a sustainability consortium and pursuing grant opportunities to support sustainability-focused projects. The evolution of the IE curriculum at QU reflects a commitment to producing engineers equipped to address the complex challenges of a sustainable future.}, booktitle={2024 ASEE Annual Conference & Exposition Proceedings}, publisher={ASEE Conferences}, author={Kiassat, PhD, MBA, PE, Corey}, year={2024}, month={Aug} }
 @inproceedings{appow_kiassat_ben-avie_2022, title={School of Engineering First-year Academy to Help Underprepared Students}, booktitle={ASEE Annual Conference}, author={Appow, S. and Kiassat, C. and Ben-Avie, M.}, year={2022}, month={Jun} }
 @article{mirabella_mcamis_kiassat_feinn_singh_2021, title={Preferences to improve rounding efficiency amongst hospitalists: a survey analysis}, volume={11}, ISSN={2000-9666}, url={http://dx.doi.org/10.1080/20009666.2021.1929047}, DOI={10.1080/20009666.2021.1929047}, abstractNote={Background: There is no 'gold standard' method of rounding for hospitalists. This study investigates hospitalist rounding preferences to improve efficiency based on resources categorized under work assignment and communication.Methods: An anonymous survey containing demographics and questions on preferences for rounding efficiently by hospitalists were widely distributed online. Responses were presented using descriptive statistics and SPSS v26.Results: There were 143 respondents, majority male (60%) with (40%) female. Most (80%) expect higher patient volumes when working with an advanced practitioner (AP). Half (50%) preferred rounding independently, (34%) with an AP, and majority (62%) with a resident. Geographic rounding was most efficient at 85%. Text messaging for paging was preferred (70.1%) to pagers (23.4%). Respondents preferred calling a consultant (52%) or text messaging (40%). Majority have not used a WOW yet (74%) believe WOWs could improve efficiency. Majority prefer dictation via Dragon (47%) to the phone application (23%). Only 29% believe their EMR is too complex to navigate. Preference difference due to age was insignificant.Discussion and Conclusion: In this study, 143 hospitalists provided preferences for improving rounding efficiency based on elements from work assignment and communication. This analysis can provide insights on designing best practices for hospitalists rounding efficiently.}, number={4}, journal={Journal of Community Hospital Internal Medicine Perspectives}, publisher={Greater Baltimore Medical Center}, author={Mirabella, Angela C. and McAmis, Nicole E. and Kiassat, Corey and Feinn, Richard and Singh, Gagan}, year={2021}, month={Jun}, pages={501–506} }
 @inproceedings{kiassat_elkharboutly_2020, title={A Lean Manufacturing Initiative to Streamline the Advising Process}, url={http://dx.doi.org/10.18260/1-2--31964}, DOI={10.18260/1-2--31964}, abstractNote={Abstract In this paper, we describe a novel advising process, based on the Lean Manufacturing Framework, that employs student Peer Mentors (PM) to enhance the operational efficiency of academic advisors. A “Lean manufacturing” framework is used to classify all activities as value-added or non-value-added ones. By applying this framework to our current advising process for freshman students within the School of Engineering, only activities requiring faculty expertise, such as guidance and mentorship, are considered value-added and are performed by the faculty advisor. There are other frequently-performed advising activities, such as navigating the course management system, that do not require the expertise of a faculty member. These tasks are deemed to be non-value-added tasks when defining value from a faculty’s perspective. As such, these tasks are handled by the PM, a senior in the major. The PM meets with the student for a pre-advising session. S/he compiles an executive summary of this pre-advising session and provides it to the faculty advisor prior to the faculty advising session with the student. This framework is analogous to healthcare environments where a nurse meets with a patient first inquire on the patient’s symptoms and to measure the vitals. The notes are then passed on to the medical provider as a high-level summary in order to save the medical provider’s time. After running a first semester pilot of this ongoing study, the proposed process has resulted in shorter and more streamlined advising sessions. It has also resulted in higher advisor and student satisfaction.}, booktitle={2019 ASEE Annual Conference & Exposition  Proceedings}, publisher={ASEE Conferences}, author={Kiassat, Corey and Elkharboutly, Ruby}, year={2020}, month={Sep} }
 @misc{kiassat_elkharboutly_2020, title={Peer Mentoring, Learning Strategies Course, and Online Math-Help Module to Increase Retention in School of Engineering}, url={http://dx.doi.org/10.18260/1-2--35044}, DOI={10.18260/1-2--35044}, abstractNote={Abstract A considerable number of students leave engineering within the first year. At the School of Engineering, we have identified several factors that cause students to leave. We ran three initiatives in the Fall semester to help underprepared first-year students in transitioning from school to college. These initiatives are pilot for a First-year Academy (FA) program that we plan to offer starting next year to increase the school retention rate. The three initiatives target social, metacognitive and academic skills. The first initiative is a mentoring program; the second a metacognition course; and the third an online mathematics help module. This paper discusses each initiative, the lessons learned, and the plan for moving forward.}, journal={2020 ASEE Virtual Annual Conference Content Access Proceedings}, publisher={ASEE Conferences}, author={Kiassat, Corey and Elkharboutly, Ruby}, year={2020}, month={Sep} }
 @inproceedings{fabian_bacchiocchi_kiassat_2019, title={Decreasing Idle Capacity Caused by a High No-show Rate}, booktitle={Institute of Industrial and Systems Engineers (IISE) Annual Conference. Paper ID 583016}, author={Fabian, J. and Bacchiocchi, L. and Kiassat, C.}, year={2019}, month={May} }
 @article{kiassat_safaei_2019, title={Effect of imprecise skill level on workforce rotation in a dynamic market}, volume={131}, ISSN={0360-8352}, url={http://dx.doi.org/10.1016/j.cie.2018.04.019}, DOI={10.1016/j.cie.2018.04.019}, journal={Computers & Industrial Engineering}, publisher={Elsevier BV}, author={Kiassat, Corey and Safaei, Nima}, year={2019}, month={May}, pages={464–476} }
 @article{buyurgan_kiassat_2017, title={Developing a new industrial engineering curriculum using a systems engineering approach}, volume={42}, ISSN={0304-3797 1469-5898}, url={http://dx.doi.org/10.1080/03043797.2017.1287665}, DOI={10.1080/03043797.2017.1287665}, abstractNote={This paper reports on the development of an engineering curriculum for a new industrial engineering programme at a medium-sized private university in the northeast United States. A systems engineering process has been followed to design and develop the new curriculum. Considering the programme curriculum as a system, first the stakeholders have been identified, and some preliminary analysis on their needs and requirements has been conducted. Following that, the phases of conceptual design, preliminary design, and detailed design have been pursued during which different levels of validation, assessment, and evaluation processes have been utilised. In addition, a curriculum assessment and continuous improvement process have been developed to assess the curriculum and the courses frequently. The resulting curriculum is flexible, allowing the pursuit of accelerated graduate programmes, a second major, various minor options, and study-abroad; relevant, tailored to the needs of industry partners in the vicinity; and practical, providing hands-on education, resulting in employment-ready graduates.}, number={6}, journal={European Journal of Engineering Education}, publisher={Informa UK Limited}, author={Buyurgan, Nebil and Kiassat, Corey}, year={2017}, month={Feb}, pages={1263–1276} }
 @article{kiassat_safaei_banjevic_2014, title={Choosing the optimal intervention method to reduce human-related machine failures}, volume={233}, ISSN={0377-2217}, url={http://dx.doi.org/10.1016/j.ejor.2013.09.002}, DOI={10.1016/j.ejor.2013.09.002}, number={3}, journal={European Journal of Operational Research}, publisher={Elsevier BV}, author={Kiassat, Corey and Safaei, Nima and Banjevic, Dragan}, year={2014}, month={Mar}, pages={604–612} }
 @article{kiassat_safaei_banjevic_2014, title={Effects of operator learning on production output: a Markov chain approach}, volume={65}, ISSN={0160-5682 1476-9360}, url={http://dx.doi.org/10.1057/jors.2013.98}, DOI={10.1057/jors.2013.98}, number={12}, journal={Journal of the Operational Research Society}, publisher={Informa UK Limited}, author={Kiassat, Corey and Safaei, Nima and Banjevic, Dragan}, year={2014}, month={Dec}, pages={1814–1823} }
 @article{safaei_tavakkoli-moghaddam_kiassat_2012, title={Annealing-based particle swarm optimization to solve the redundant reliability problem with multiple component choices}, volume={12}, ISSN={1568-4946}, url={http://dx.doi.org/10.1016/j.asoc.2012.07.020}, DOI={10.1016/j.asoc.2012.07.020}, number={11}, journal={Applied Soft Computing}, publisher={Elsevier BV}, author={Safaei, Nima and Tavakkoli-Moghaddam, Reza and Kiassat, Corey}, year={2012}, month={Nov}, pages={3462–3471} }