جستجوی استاد راهنمای دانشگاهی

Mark Shermanمشاهده پروفایل

استادیار

• Computer Science Education
• Computational Thinking
• Learning Analytics
• +۷ مورد دیگر

Mark Sherman is an Assistant Professor of Computer Science at Emmanuel College and serves as the director of the Interdisciplinary Digital & Data Sciences (IDDS) initiative. He is actively engaged in advancing computing education, particularly through accessible and empowering technologies like MIT App Inventor. Ph.D., M.S., B.S. in Computer Science from University of Massachusetts Lowell Postdoctoral researcher at MIT, affiliated with the MIT App Inventor Team Alumnus of the Engaging Computing Group at UMass Lowell His research focuses on democratizing computing, computational thinking, learning analytics, and the psychology of learning programming. He emphasizes making computing meaningful for all students, particularly in liberal arts and K-12 contexts. His work aims to empower individuals through technology and improve pedagogical practices in computer science education. The 15 most recent publications highlight a consistent trajectory in computing education research, with a strong emphasis on block-based programming environments, assessment methodologies, and curricular innovations using MIT App Inventor. The articles reflect interdisciplinary engagement, combining computer science, education, psychology, and social impact, particularly in liberal arts and middle school settings. His scientific contributions have been recognized through multiple grants and service roles: NSF GK-12 Fellowship (2009–2010) NSF iTest Grant (2007–2009) NSF Transforming Undergraduate Education in STEM (2011–2014) NSF Middle School Pathways Grant (2015–2017) CoolThink Curriculum Development Grant, Hong Kong Jockey Club (2017–2018) Code.org CS Ed Week Advisory Committee (2017) Research Member, CS for ALL Consortium Co-Chair, Blocks & Beyond II Workshop at VL/HCC 2017 Reviewer for ACM SIGCSE, TOCE, Connected Learning Summit Mark Sherman has contributed significantly to grant-funded research in computing education, primarily as a collaborator on projects led by Dr. Fred Martin. He has advised on curriculum development, served on national advisory boards, and actively participated in the CS education community through reviewing, organizing workshops, and disseminating research. His advocacy extends to diversity in tech, mental health, LGBTQ+ rights, and open-source software, reflecting a commitment to inclusive and ethical computing education. He is affiliated with the Engaging Computing Group at UMass Lowell and the MIT App Inventor Team, where his postdoctoral work contributed to tools and curricula for computational action and learning analytics. These teams focus on making computing accessible, meaningful, and transformative for learners of all ages and backgrounds.

Wenjie Ruanمشاهده پروفایل

مدرس ارشد

• Robustness of Deep Learning
• Safety of Deep Neural Networks
• Interpretability of Machine Learning
• +۷ مورد دیگر

Dr. Wenjie Ruan is a Senior Lecturer in Data Science at the Department of Computer Science, College of Engineering, Mathematics and Physical Sciences, University of Exeter, a Russell Group university. He is also the Co-Lead of the Trustworthy AI Theme at IDSAI. Previously, he was a Lecturer at Lancaster University and a Postdoctoral Researcher at the University of Oxford, funded by EPSRC. He holds a PhD from the University of Adelaide and conducted research at Tsinghua University. University: University of Exeter School: College of Engineering, Mathematics and Physical Sciences Department: Department of Computer Science Position: Senior Lecturer (~Associate Professor) Research Theme: Co-Lead, Trustworthy AI at IDSAI His primary research interests lie in robustness, safety, and interpretability of deep learning models, with applications in health data analytics and human-centred computing. He focuses on adversarial robustness, verification, testing, and explainable AI, particularly in safety-critical domains such as healthcare and autonomous systems. The recent publications reflect a strong trend in trustworthy machine learning, with emphasis on adversarial robustness (e.g., Vision Transformers, 3D models), verification techniques, and healthcare applications (e.g., COVID-19 severity prediction, EMR data analysis). His work often includes open-sourced tools like GUAP, DeepConcolic, and DeepGO, highlighting a commitment to reproducibility and practical impact. Dean's Commendation for Doctoral Thesis Excellence, University of Adelaide (2017) Scholarship for Outstanding PhD Students Abroad, Chinese Government (2017) Best Student Paper, ADMA 2016 Best Poster Award, ACM IOT & Cloud Computing Workshop (2016) PRF Project Grant (£180K) from ORCA Hub Subcontract from DSTL via Liverpool University (£15K) Dr. Ruan has actively advised numerous PhD and Master’s students, many of whom have achieved distinctions or secured prestigious positions. He has been involved in significant research grants, including projects on accountable AI in robotics and AI test coverage metrics for defense applications. His leadership in the ORCA-funded AELARS project demonstrates his role in guiding emerging researchers and shaping future work in trustworthy AI. He leads a dynamic research group and has hosted postdoctoral researchers like Dr. Syed Yuns. His team focuses on developing robust, verifiable, and interpretable AI systems, particularly in digital health and autonomous robotics. Collaborations with institutions such as Oxford, Liverpool, and Imperial College London further enrich the lab’s research ecosystem.

• African American English and literacy
• teacher knowledge development
• literacy development in decoding and spelling
• +۳ مورد دیگر

Ramona T. Pittman is an Associate Professor in the Department of Teaching, Learning and Culture at Texas A&M University. She holds a Ph.D. in Curriculum and Instruction with an emphasis in Literacy (2007), an M.Ed. in Elementary Education (2000), and a B.S. in Elementary Education (1998). With over 20 years of teaching experience spanning PK-12 and higher education, her research focuses on African American English and literacy, teacher knowledge development, and decoding/spelling strategies to foster equitable learning environments. Her research interests emphasize the intersection of language, literacy, and cultural contexts, particularly in low socio-economic settings. Recent work examines phonemic awareness instruction for African American students, digital literacy projects, and teacher educators' understanding of English spelling. Collaborations with students and colleagues are evident in co-authored publications like African American Language in Children’s Literature (2024) and What do classroom teachers know about English spelling? (2023). Her publications consistently address literacy equity through empirical studies on teacher competencies, intervention strategies, and curriculum design. Advising collaborations include mentoring students like Alanis M. and Martha Rice. While no formal awards are listed, her work reflects sustained contributions to literacy education and teacher preparation. Her career bridges theory and practice, with a focus on experiential learning (e.g., service learning programs) and the application of research to classroom settings. Current projects likely explore digital tools, multicultural literature, and systemic inequities in literacy education.

Terry C. Hazenمشاهده پروفایل

استاد

• Microbial Ecology
• Environmental Engineering
• Bioremediation
• +۱۲ مورد دیگر

Dr. Terry C. Hazen is the UT/ORNL Governor's Chair Professor in the Department of Civil & Environmental Engineering at the University of Tennessee, Knoxville , with additional appointments in Microbiology, Earth and Planetary Sciences, Genome Science and Technology, and the Bredesen Center. He leads the Hazen Lab, a multidisciplinary research group focused on microbial ecology and environmental engineering. Education: Bachelor of Science (Biology), Michigan State University, 1973 Master of Science (Biology, Parasitology), Michigan State University, 1974 Ph.D. (Parasitology-Ecology, Microbiology-Immunology), Wake Forest University, 1978 His research centers on microbial ecology , particularly in the context of bioremediation , biofuels , enhanced oil recovery , and water quality . He investigates systems biology and environmental stress responses from the molecular to ecosystem level. His recent work explores groundwater microbial communities , nitrous oxide emissions , denitrification , and microbial genomics for nuclear nonproliferation monitoring . The most recent publications highlight advanced work in reactive transport modeling , microbial community assembly , enrichment cultures , and dissolved organic matter analysis using machine learning. These studies are largely conducted at the ENIGMA Field Research Center at Oak Ridge, focusing on contaminated subsurface environments. Scientific Awards and Recognition: ASM Award for Environmental Research (2021) UT/ORNL Governor's Chair Professor Seaborg Fellow Chancellor’s Fellowship (advised student) NSF Fellowship (advised postdoc) Dr. Hazen has advised numerous Ph.D. and M.S. students and mentored many postdoctoral fellows and research associates. His lab has received significant recognition, with several members listed among the Stanford World’s Top 2% Cited Scientists . He has been actively involved in national and international responses to oil spills , including the Deepwater Horizon and Peru Repsol incidents. His lab holds multiple patents in bioremediation technologies and maintains strong collaborations with Oak Ridge National Laboratory . Laboratories and Facilities: The Hazen Lab operates at both the University of Tennessee (SERF and Tickle Engineering Building) and Oak Ridge National Laboratory (JIBS), utilizing state-of-the-art equipment for microbial and environmental research.

Paa Kusiمشاهده پروفایل

مدرس ارشد

• Corporate Failure and Financial Distress
• Corporate Governance
• Environmental Reporting
• +۴ مورد دیگر

Paa Kusi is a Senior Lecturer and Course Director for the BA (Hons) Accounting and Finance for International Business Top-up programme at Coventry University London, within the Department of Accounting, Finance and Economics in the College of Business and Law. He has over 15 years of post-qualification experience, combining professional practice and academic teaching in accounting and finance. Postgraduate Certificate in Academic Practice in Higher Education, Coventry University (2020) MSc Accounting with Finance, London South Bank University (2009) MSc International Accounting, Anglia Ruskin University (2011) BSc Business Administration (Accounting Major), University of Ghana (2000) Paa Kusi's research focuses on corporate failure and financial distress, corporate governance, and environmental reporting. His work applies financial models like the Z-Score to assess corporate health, particularly within the UK information technology sector. He is committed to effective pedagogy and student success in higher education. His scholarly output includes a book and a conference paper analyzing the Z-Score model’s effectiveness in predicting financial distress in the UK IT industry. These works highlight trends in financial risk modeling, empirical validation of accounting tools, and the application of quantitative methods in corporate finance and audit contexts. Fellow of the Association of Chartered Certified Accountants (FCCA) Fellow of the Higher Education Academy (FHEA) Paa Kusi has extensive experience in both academic and professional accounting. His teaching covers core areas such as management accounting, financial reporting, audit, and taxation. He previously served as Practice Manager in charge of audit and training at Douglas Darko & Co Ltd, a firm of Chartered Accountants in London. His professional background enriches his academic practice, and he continues to contribute to curriculum development and student mentorship at Coventry University London. There is no mention of external grants in the provided text. Paa Kusi is actively involved in teaching and academic leadership but there is no mention of a research lab or formal research team in the provided information.

• Paleoclimate
• Ice Core Analysis
• Black Carbon
• +۶ مورد دیگر

Nathan Chellman is an Assistant Research Professor in Snow and Ice Hydrology at the Desert Research Institute (DRI), specifically within the Division of Hydrologic Sciences in Reno, Nevada. He is a key member of the DRI Ultra Trace Ice Core Analytical Laboratory, where he conducts high-resolution, continuous flow analysis of ice cores to investigate environmental change over recent centuries and millennia. His work involves significant interdisciplinary and international collaborations with atmospheric scientists, historians, archaeologists, and microbiologists. Dr. Chellman earned his Sc.B. in Geology-Biology from Brown University in 2012, followed by an M.S. in Hydrology (2016) and Ph.D. in Hydrology (2019), both from the University of Nevada, Reno. His educational background bridges geological and biological sciences with specialized hydrological training, providing a strong foundation for his current paleoclimate research. Chellman's research primarily focuses on developing and interpreting paleoclimate and pollution records from ice cores, with additional work on lake sediments and tree rings. A specific area of expertise is studying black carbon in ice, sediments, and the atmosphere using the Single Particle Soot Photometer instrument to better understand fire history and black carbon atmospheric transport. His work spans multiple disciplines including paleoclimatology, environmental chemistry, and historical climate reconstruction. Analysis of his recent publications (2023-2025) reveals a strong focus on black carbon analysis, volcanic eruptions and their climate impacts, historical pollution records, and fire history reconstruction using ice core methodologies. His research frequently examines hemispheric-scale environmental changes, with studies spanning Antarctica, the Arctic, New Zealand, Patagonia, and North America. Many papers employ advanced analytical techniques combined with atmospheric modeling to reconstruct historical environmental conditions. Chellman's research is primarily funded by the National Science Foundation, indicating recognition of the significance and quality of his work in the scientific community. He collaborates extensively with Dr. Joe McConnell and other researchers at DRI, as well as numerous international collaborators across multiple continents. As part of the DRI Ultra Trace Ice Core Analytical Lab, Dr. Chellman works with sophisticated instrumentation for ice core analysis, contributing to DRI's reputation as a leader in trace chemistry and ice core research. His work connects contemporary environmental changes with historical patterns, providing crucial context for understanding current climate challenges.

Giulia Fantiniمشاهده پروفایل

مدرس

• Executive Remuneration
• Corporate Disclosures
• Corporate Governance
• +۷ مورد دیگر

Dr. Giulia Fantini is a Lecturer in Finance and Accounting at the School of Management, Swansea University, where she joined in January 2015. She holds a prestigious Fellowship from the Higher Education Academy (since 2019) and serves in key leadership roles including Chair of the Examinations Scrutiny Committee (since July 2018) and the University's Academic Integrity Cases Officer (since April 2023). Dr. Fantini earned her European PhD in Economics in April 2014 from the University of Ferrara, Italy, in conjunction with Bayes (formerly Cass Business School), London, United Kingdom. Prior to her academic career, she gained over 5 years of industry experience as a Chartered Accountant and qualified Auditor in Italy and Luxembourg. Her research expertise spans executive remuneration, corporate disclosures, corporate governance, SMEs, climate change in finance and accounting, and Environmental, Social and Governance (ESG) categories. Dr. Fantini is particularly interested in the intersection of corporate leadership and ESG transformation, utilizing big data and AI/Machine Learning approaches in her research. Her work bridges theoretical frameworks with practical applications in financial reporting and management. Analysis of Dr. Fantini's recent publications reveals a strong focus on ESG integration in financial decision-making, corporate governance structures, and the application of advanced analytical methods to traditional finance problems. Her work increasingly addresses the challenges of sustainable finance and climate change adaptation in business contexts. Dr. Fantini has received notable recognition for her research, including: A Fellowship from the Higher Education Academy (2019) A British Academy Leverhulme Small Research Grant for her project "Uncovering the 'unknown unknowns' of managerial alignment in multistakeholder capitalism through machine learning approaches" (2023-2024) UKRI Arts and Humanities Research Council Grant for "CEOs and ESG transformation" (2023) As an active supervisor, Dr. Fantini currently leads three PhD students researching topics including financial sustainability in charitable organizations, gender diversity and sustainability agenda, and CEO risk-taking incentives. She previously supervised a PhD that was awarded in 2022 on "The Importance of the Tone and Readability of Reported Narratives: Evidence from UK FTSE 350 Companies." Her teaching expertise includes designing and delivering modules on Financial Accounting, Sustainable Financial Reporting, and International Financial Management, with a particular emphasis on integrating sustainability principles into accounting education. Dr. Fantini collaborates with researchers across Europe and has participated in Erasmus+ staff mobility programs with Otto-von-Guericke Magdeburg University and the Halle Institute for Economic Research in Germany (2019). Her practical industry experience enriches her academic work, creating valuable connections between theory and real-world financial practice.

Veronique Richardمشاهده پروفایل

مدرس

• Creativity
• Performance Psychology
• Movement Sciences
• +۷ مورد دیگر

Dr. Veronique Richard is a Lecturer at the School of Human Movement and Nutrition Sciences within the Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland. She is also an Affiliate of the Health and Wellbeing Centre for Research Innovation. With expertise spanning performance psychology and creativity, Dr. Richard bridges the worlds of high-performance sports, circus arts, and wellbeing research. Her educational background includes: Masters (Research) from the University of Montreal Doctor of Philosophy from the University of Montreal Postdoctoral fellowship in Sport Psychology at Florida State University Dr. Richard's research focuses on designing creativity-supportive environments across various contexts including sport, education, and healthcare. She investigates how enriched movement activities impact cognitive, affective, and socio-cultural variables related to creativity and wellbeing. Her work stems from extensive experience as a mental performance consultant for Canadian national sports organizations and Cirque du Soleil, where she observed the challenges of balancing high-level performance with wellbeing among athletes and performers. Her publications reveal a strong emphasis on the intersection of creativity and movement, with recent work exploring applications in diverse fields from emergency medicine to rural healthcare services. She has published extensively on topics including movement creativity in circus arts, creative dance impacts on creative potential, and the application of performance psychology principles across high-pressure domains. Dr. Richard has received funding from various organizations including: QAS Centre for Sport Performance, Innovation and Knowledge Excellence (2024-2026) Queensland Performing Arts Trust (2024-2025) Tennis Australia (2023-2024) ACT and Southern NSW Rugby Union (2023-2024) Australian Sports Commission (2023-2024) Athletics Australia (2022-2023) She is actively engaged in supervision and is available to work with graduate students interested in the intersection of creativity, movement, and performance psychology.

• History of Ukraine
• Socio-political processes of 1920s-1930s
• Ukrainian culture
• +۳ مورد دیگر

Lyudmila Valeriivna Turchyna serves as an Associate Professor in the Department of Ukrainian Studies at the Humanities Faculty of Zaporizhzhia Polytechnic University. She holds a Candidate of Historical Sciences degree and specializes in Ukrainian historical studies, particularly focusing on the socio-political processes of 1920s-1930s Ukraine. Dr. Turchyna teaches courses including History of Ukraine, History of Ukrainian Culture, Information and Analytical Activities in International Relations, and Ukrainian Culture in the European Context. Her academic journey began at Zaporizhia National University where she graduated in 1994 with a specialization in History, earning qualifications as both a historian and teacher of history and social studies. Her recent scholarly work demonstrates a consistent focus on Ukrainian historical periods, particularly examining the Shot Renaissance era, Soviet-era political dynamics, and regional history of Zaporizhzhia during World War II. Her publications reveal a methodological approach combining historical analysis with cultural studies to explore Ukraine's complex past. Dr. Turchyna maintains an active scholarly presence with publications appearing in the Scientific Works of the Faculty of History of Zaporizhzhia National University and other academic venues. Her research demonstrates particular expertise in 20th century Ukrainian history, Soviet-era intellectual movements, and regional historical developments. She actively engages with students in research activities, as evidenced by her collaboration with student researchers on conference presentations and publications. Her academic contributions continue to enrich the understanding of Ukrainian historical development within both national and international scholarly communities.

Luwen Huangfuمشاهده پروفایل

استادیار

• Artificial Intelligence
• Business Analytics
• Public Health
• +۴ مورد دیگر

Luwen (Vivian) Huangfu serves as an Assistant Professor in the Management Information Systems Department at San Diego State University's Fowler College of Business. Holding a PhD from the University of Arizona (2019), she has published over 30 peer-reviewed articles in premier AI venues including IEEE Transactions and ACM conferences, accumulating 300+ citations. Her research bridges artificial intelligence with business analytics, public health, and transportation systems. Her educational foundation includes: PhD in Management Information Systems, University of Arizona (2019) Dr. Huangfu's research pioneers few-shot learning and generalized zero-shot recognition with applications spanning pavement distress detection , mental health intervention , and code search optimization . She develops novel architectures for multi-label image classification and document clustering using large language models, with significant contributions to weakly supervised learning and metric network design. Her work consistently addresses real-world challenges in transportation infrastructure, cybersecurity, and healthcare analytics. Recent publications (2023-2025) reveal a strategic focus on efficient deep learning for resource-constrained environments, particularly in transportation and medical imaging. She integrates spatial contextual awareness in multiple instance learning while advancing prompt-based refinement for long-tailed distributions. Her growing emphasis on LLM-driven security intelligence and social media mental health analysis demonstrates cross-domain impact. Her scientific accolades include: Corporation for Education Network Initiatives in California (CENIC) Award (2024) NIH-supported Summer Institute 2024/2025 Cohort NSF-supported University of Maryland Travel Award (2024) Department of Energy (DOE) Award (2022, 2023) NSF-DOE-Jointly-Supported Travel Award (2023) Management Information Systems Quarterly (MISQ) Scholarly Development Academy (2022) 24 total awards including multiple NIH/NSF grants and teaching fellowships As a principal investigator, she has secured funding from DOE, NIH, and NSA while serving as advisor for undergraduate and graduate research scholarships. Her service includes NSF ACCESS Program advisory, NIH/NSF grant review panels, and editorial roles for IEEE Transactions and Journal of Medical Internet Research. She actively mentors students through SDSU scholarship committees and DEI initiatives while maintaining rigorous peer-review commitments across 15+ journals and conferences.

• Human Activity Recognition
• Process Mining
• Transfer Learning
• +۶ مورد دیگر

Dr. Ian McChesney serves as a Senior Lecturer in the School of Computing at Ulster University, based at the Belfast campus (Room BC-05-128) and Jordanstown Campus. His research spans Human Activity Recognition, Process Mining, and Transfer Learning with significant contributions to Autonomic Computing and Open Data initiatives. Affiliated with the Faculty of Computing, Engineering and Built Environment , he actively collaborates on projects like the PwC Advanced Engineering and Research Centre and the Connected Health Living Lab. His research interests focus on Human Activity Recognition (91% fingerprint match), Process Mining (57%), and Transfer Learning (45%), with applications in smart homes, business processes, and healthcare. Key methodologies include semi-Markov models for IoT device management, synthetic data generation for autonomic systems, and semantic enrichment of HAR datasets. His recent work shows increasing emphasis on educational frameworks for competency-based computing education in the UK. Among his 49 research outputs and 3 datasets, notable contributions include the InSync dataset and research on dyslexia in programming. He received the Best Paper Award ICAS 2025 for work on synthetic data generation. His projects include the TRAXX Fusion consultancy (2014-2016) and current involvement in the PwC Advanced Engineering Centre (2021-2026). Supervision: Mentored 4 students through supervised research work Grants: Contributed to KTP Programme with MJM Marine Limited (2022-2025) and Connected Health Living Lab (2018) His work supports UN Sustainable Development Goals through applications in healthcare optimization, educational innovation, and industrial process improvement. Current projects focus on few-shot learning, large language models, and human activity recognition in connected health environments.

• Data Science
• Big Data
• Natural Language Query Processing
• +۴ مورد دیگر

Prof. Dr. Kurt Stockinger is a Professor of Computer Science at ZHAW School of Engineering and holds a doctorate at the University of Zurich . He serves as Head of the MAS Data Science program and co-leads the ZHAW Datalab . His research focuses on Intelligent Information Systems , bridging information systems, natural language processing, and machine learning. Affiliated with the University of Zurich, he contributes to Quantum Machine Learning and Open Data Exploration initiatives. Stockinger's educational background includes a PhD in Computer Science (University of Vienna & CERN), a Master in Business Informatics (University of Vienna), and a CAS in Didactics & Methodology (ZHAW). He has taught courses in Quantum Computing , Big Data for Natural Sciences , and Data Science programs at ZHAW and University of Zurich. His research spans Data Science , Big Data , Natural Language Query Processing , Knowledge Graphs , and Quantum Machine Learning . Recent publications focus on quantum autoencoders , hybrid quantum neural networks , and prompt engineering for knowledge graph question answering. He has developed frameworks like ScienceBenchmark for real-world NL-to-SQL evaluation and NQuest for natural language query exploration. Scientific awards include the Best Paper Award at 7th Swiss Conference on Data Science (2020) He leads major projects such as DataGEMS (Data Discovery Platform, Horizon Europe) Digital Health Zurich (Clinical Innovation Lab) INODE4StatBot.swiss (NL-to-SQL Translation) GraphQueryML (Graph Database Optimization) ScienceBenchmark (NL-to-SQL Evaluation) Stockinger's work intersects with computer vision , biomedical data , and industrial applications , demonstrated through collaborations with institutions like Lawrence Berkeley National Laboratory, CERN, and University of Washington. He has contributed to establishing QuantumBasel and ZHAW Datalab as research hubs.

Shenghui Wangمشاهده پروفایل

استادیار

• Artificial Intelligence
• Natural Language Processing
• Knowledge Representation and Reasoning
• +۶ مورد دیگر

Shenghui Wang is an Assistant Professor in Human Media Interaction with a focus on hybrid human-AI systems. Affiliated with OCLC Research Europe since 2012, his work bridges artificial intelligence, virtual reality, and cultural heritage digitization. Research Interests: Ontology modeling, eye-tracking integration, multimodal conversational agents, and FAIR metadata principles for cultural data Key Activities: Organized HHAI 2025 and ISWC 2025 conferences; presented at ICT Open 2024 and Hybrid Intelligence Consortium meetings Current Work: Developing social VR frameworks for collaborative art exploration and evaluating RAG-based chatbots in healthcare contexts His recent publications emphasize Human-Computer Interaction in educational and cultural settings, with specific attention to: Personalized learning systems Virtual heritage applications Ontology-driven VR environments Author disambiguation algorithms Wang's research contributes to UN Sustainable Development Goals through innovative applications in education, cultural preservation, and accessible AI systems.

Bailie Petersonمشاهده پروفایل

دانشیار

• Metaphysics
• Epistemology
• Ethics
• +۳ مورد دیگر

Bailie Peterson serves as Associate Professor of Philosophy at the University of Northern Colorado's College of Humanities and Social Sciences, specializing in metaphysics, epistemology, ethics, and philosophy of religion while pioneering work in philosophy of education and punk philosophy. Educational background: Ph.D., University of Massachusetts Amherst M.A., University of Massachusetts Amherst B.A., University of Colorado Boulder A.A., Aims Community College Research integrates traditional philosophical inquiry with contemporary educational and cultural contexts, examining student perceptions of philosophy, first-generation philosopher support systems, and punk's metaphysical dimensions. This interdisciplinary approach bridges academic rigor with real-world relevance through publications spanning journals, books, and podcasts. Recent scholarly output demonstrates consistent contributions to philosophy education equity and cultural analysis, with 2023-2019 works focusing on student engagement and achievement gap interventions. Awards: John Robison Prize for Teaching Excellence (University of Massachusetts Amherst, 2016) Peterson's teaching career includes roles at UNC and UMass Amherst with emphasis on inclusive pedagogy, evidenced by publications supporting underrepresented students in philosophy.

• Human resource management
• Employment relations
• Organizational behavior
• +۱ مورد دیگر

Ki-Jung Kim serves as an Assistant Professor at Eastern Kentucky University, based in the Business & Technology Center (Room 075). Her research bridges human resource management, employment relations, and organizational behavior within contemporary workplace contexts. Dr. Kim's educational foundation includes: Ph.D. and MHRIR from University of Illinois Urbana-Champaign M.S. from Korea University B.A. from Hongik University Her scholarly focus examines critical workplace dynamics through three interconnected lenses: leadership synergies between unions and management, structural constraints in precarious employment, and energy-mediated work-family interactions. Recent studies analyze how dual leadership sources affect job satisfaction, how market forces undermine job quality, and meta-analytic evidence on work-hour impacts. This research program demonstrates methodological rigor while addressing practical challenges in modern employment systems. Dr. Kim's publication trajectory shows consistent contributions to high-impact journals including ILR Review and Journal of Organizational Behavior, with work spanning labor relations, organizational behavior, and human resource systems. Her 2022-2024 output reflects active engagement with contemporary workplace issues through both empirical and meta-analytic approaches. Her scholarly recognition includes: 2024 Best Paper Award (Academy of Management Human Resources Division) 2020 LERA/ILR Review Best Paper Competition Winner 2020 Tim Judge Fellowship Award (University of Illinois) As an active faculty member, Dr. Kim contributes to academic discourse through professional associations including the Academy of Management and Labor and Employment Relations Association. Her ongoing research program suggests continued grant activity and scholarly output in human resource systems and organizational behavior, though specific funding details aren't publicly enumerated.