Data Analytics Curriculum Development Professors and Supervisors | ApplySharif

Find Academic Supervisors

Find and connect with academic supervisors, professors, and scholars for your research journey.

Showing 706-720 of 5,408 supervisors

Profile data may be stale. It is sourced from public faculty pages.

Lynn DaileyView profile

Professor

Capital UniversityUnited States

Lynn Dailey is a Professor in the Department of Business at Capital University's College of Business, where she has held the George Moor Endowed Chair in Business and Economics since 2008. She teaches in both the MBA and undergraduate programs, with courses including Marketing Management, Consumer Behavior, and Marketing Consulting. Her work bridges academic theory and practical application through extensive client-based projects. Educational Background: Ph.D. in Business Administration, University of Kentucky Master of Business Administration, Ohio University Bachelor of Science in Business Economics, The Ohio State University Dr. Dailey's research focuses on marketing, consumer behavior, and strategic planning, particularly examining product return policies, consumer reactance, and the ethical dimensions of retail practices. She explores how restrictive policies influence consumer responses and how businesses can design strategies that balance profitability with customer satisfaction. Her work also extends to marketing MBA programs, emphasizing flexibility and student needs. Her recent publications show a consistent trend in consumer behavior research, especially in retail contexts, with a strong emphasis on empirical studies and practical implications. She frequently collaborates with industry partners and integrates real-world data into her scholarship. Scientific Awards: Faculty Scholar Award (top research award at Capital University) Cotterman Advising Award (top advising honor) Best Paper in Track Award (2012, Association of Collegiate Marketing Educators) Dr. Dailey has mentored over 90 experiential learning projects with central Ohio organizations, including COSI, the American Heart Association, Columbus Metropolitan Library, and government agencies. She has secured consulting engagements with major national clients like Grange Insurance, EXPRESS, and OCLC, as well as numerous small businesses and nonprofits. These projects serve as both teaching tools and applied research initiatives. She leads initiatives connecting academic programs with community and corporate partners, enhancing student learning while building institutional reputation. Her work in business consulting spans over 24 years and includes training and strategic planning for diverse sectors.

Official University Profile

Jane HunterView profile

Associate Professor

University of Technology SydneyAustralia

Jane Hunter is an Associate Professor in the School of International Studies and Education at the University of Technology Sydney (UTS), Faculty of Design and Society. She has a robust academic and professional background spanning K–12 education, teacher education, and educational leadership. Her research is centered on pedagogy, curriculum development, and technology-enhanced learning, with a strong focus on integrated STEM and STEAM education. University: University of Technology Sydney School: Faculty of Design and Society Department: School of International Studies and Education Academic Rank: Associate Professor Email: Jane.Hunter@uts.edu.au Education: PhD in Education, Western Sydney University (2010–2013) M.Ed (Hons 1), University of Sydney Graduate Diploma in Education, University of Canberra B.A., Australian National University Research Interests: Jane Hunter’s research focuses on teacher professional learning, pedagogical innovation, and the integration of technology in education. She developed the 'High Possibility Classrooms' framework, which emphasizes teacher agency, creativity, and integrated STEM/STEAM learning. Her work explores how teachers can use technology meaningfully to enhance student engagement and learning outcomes, particularly in disadvantaged and linguistically diverse communities. Recent Research Trends: Her 15 most recent publications reveal a consistent focus on integrated STEM/STEAM education, school-university partnerships, teacher professional development, and the ethical use of data and AI in education. She frequently investigates how pedagogical frameworks can support teacher autonomy and how digital tools can be used authentically in classrooms. Her work also extends to social justice themes, including Indigenous education and anti-racism through sport. Scientific Awards: Vice Chancellor's Award for Teaching & Learning (UTS) Australian Teacher Education Association Early Career Researcher Award Beth Southwell Research Award for Outstanding PhD Thesis SITE and Microsoft Award for Technology Enriched Instruction Office of Learning and Teaching Citation for Outstanding Contributions to Student Learning University of Western Sydney Citation for Outstanding Contributions to Student Learning University of Sydney Teaching Excellence Award Supervision and Grants: Jane is a Cat 1 HDR supervisor and mentors early-career academics. She has led multiple funded research projects, including 'High Possibility STEM Classrooms', 'Building Culture, Capacity and Community in STEAM', and studies on AI in education. She has supervised PhD, M.Ed, and Honours theses, and supports colleagues in publishing scholarly work. Labs and Research Groups: Jane is the Convener of the Life-wide Learning and Education (LLE) Research Group at UTS and a past member of the Centre for Research on Education in a Digital Society (CREDS). She also contributes to the UTS Library Creative-in-Residence Board and the Informal Learning Spaces Committee, reflecting her commitment to innovative and inclusive learning environments.

Official University Profile

Yu-Cheng LinView profile

Lecturer

University of New South WalesAustralia

Dr. Yu-Cheng Lin (also known as Robbie Lin) is a Sessional Lecturer at the University of New South Wales (UNSW), Faculty of Built Environment, specializing in real estate investment and finance. He holds a PhD in real estate investment and finance from UNSW and is a chartered member of the Royal Institution of Chartered Surveyors (MRICS) in investment management, fund management, financial modelling and valuation. His academic appointments include Coordinator/Sessional Lecturer positions at UNSW for courses including Property Industry Application (REST0010) and Construction Management Risk and Business Analytics (CONS0016), as well as teaching roles at Western Sydney University. PhD in Real Estate Investment and Finance, University of New South Wales University International Postgraduate Award (UIPA scholarship), UNSW, 2019 Dr. Lin's research focuses on the intersection of real estate markets, capital markets, and investment strategies. His expertise includes analyzing interest rate sensitivity across different real estate sectors, particularly REITs in the Pacific Rim region, US, UK, Europe, and APAC markets. He investigates how monetary policy affects various commercial real estate sectors including office, retail, industrial and logistics, multifamily (BtR), healthcare, hotel, infrastructure, and data center properties. His work bridges academic research with practical application in institutional investment, providing insights for portfolio construction, tactical and strategic asset allocation, and interest rate risk management. His recent publications demonstrate a clear trend toward sector-specific analysis of real estate investment performance, with particular emphasis on how different property types respond to changing interest rate environments. His research increasingly focuses on the Pacific Rim region while maintaining a global perspective, examining how US monetary policy transmits to international real estate markets. The growing importance of logistics and industrial real estate due to e-commerce trends, as well as the development of specialized investment vehicles like Build-to-Rent (BtR), features prominently in his recent work. Doctoral Program Manuscript Prize Winner, American Real Estate Society (ARES), 2021 PhD Award for 'Highly Commended Presenter on the Day', Pacific Rim Real Estate Society (PRRES), 2020 University International Postgraduate Award (UIPA scholarship), University of New South Wales, 2019 Dr. Lin has secured research funding including a €$15,000 grant from the European Public Real Estate Association (EPRA) for his project on varying interest rate sensitivity of different real estate sectors. His research has been commercially applied in formulating institutional fund and investment management strategies, with practical implementations in real estate wholesale funds reporting for global institutional investors (SWFs, Pension Funds, Insurers). He has developed tactical and strategic asset allocation strategies for real estate funds across multiple regions and has created distressed asset and debt investment strategies for various real estate sectors. Through his media engagement with outlets including The Property Chronicle and Special Broadcasting Service (SBS), Dr. Lin actively translates academic research into practical insights for industry professionals and the broader public. His work demonstrates a strong commitment to connecting academic research with real-world applications in the commercial real estate industry.

Official University Profile

Tracy YotherView profile

Assistant Professor

Purdue UniversityUnited States

Tracy Yother serves as Assistant Professor in Aeronautical Engineering Technology (AET) within Purdue University's School of Aviation and Transportation Technology. With over 18 years of industry experience at Boeing, McDonnell Douglas, and Pratt & Whitney spanning product support, program management, and business development, she teaches undergraduate Powerplant Systems courses and graduate-level aviation leadership/process improvement curricula while maintaining active FAA Airframe and Powerplant certification. Her academic credentials include: Ph.D. in Career and Technical Education from Purdue University M.S. in Technology, Aviation Logistics from Purdue University B.S. in Aviation Technology from Purdue University Dr. Yother's research pioneers the integration of emerging technologies into aviation maintenance education, with dual focus on faculty credentialing challenges and AI-driven maintenance solutions. She leads NIST-funded development of electric propulsion standards curriculum while advancing natural language processing applications for maintenance record analysis and defect detection through API integration. Her work bridges industry standards with academic training requirements for next-generation aviation technicians. Recent publications reveal strong thematic continuity in aviation education innovation, particularly addressing workforce development for electric propulsion systems and AI-enhanced maintenance practices. Her scholarship consistently connects curriculum design with industry consensus standards while expanding into diversity initiatives and sustainable maintenance technologies. Recognition includes: February 2021: School of Aviation and Transportation Technology’s Outstanding Faculty in Learning Award Dr. Yother directs NIST Standards Curricula Development Program funding for electric propulsion aviation standards while maintaining active leadership in professional communities. As ASEE Aerospace Division Chair and member of UAA Maintenance Division and Aviation Technician Education Council, she shapes national conversations on aviation maintenance education standards and workforce development strategies. Her research directly informs Purdue's aviation technology programs through industry partnerships, with current focus on developing training frameworks for high-voltage aircraft systems and AI-assisted maintenance protocols that address emerging industry challenges.

Official University Profile

Aron HenrikssonView profile

Academic

Stockholm UniversitySweden

Aron Henriksson is a Senior Lecturer and Associate Professor at the Department of Computer and Systems Sciences, Stockholm University. He co-leads the Natural Language Processing Research Group and contributes to the Learning Analytics and AI for Education Group , focusing on large language models, privacy, explainability, and domain adaptation across healthcare and education. His research integrates AI and NLP into critical domains, including Developing SweClinEval - the first Swedish clinical NLP benchmark Privacy-preserving techniques for LLMs using pseudonymization Multimodal prediction models for healthcare outcomes (e.g., COVID-19 mortality) Educational applications of retrieval-augmented generation Henriksson teaches courses in Big Data, AI management, NLP, and information retrieval. His work bridges technical innovation with practical implementation across EU-funded projects like Extreme Food Risk Analytics (EFRA) and clinical AI initiatives, emphasizing ethical AI deployment and data utility preservation.

Official University Profile

M. Abu NaserView profile

Associate Professor

London Metropolitan UniversityUnited Kingdom

Dr. M. Abu Naser is an Associate Professor at London Metropolitan University's Guildhall School of Business and Law, specializing in corporate governance, behavioral finance, and developmental economics. He has over 20 years of academic and commercial experience, including roles at multinational firms like Ford and Tesco. His research focuses on AI's impact on education and finance, ESG investments, and microfinance-driven poverty reduction. He actively supervises PhD candidates and chairs international conferences like the Organisation Governance Conference and CSR conferences. Education: Holds a Ph.D., MBA, PGCertEd, PG Dip, AAA, and certifications as a Chartered Management Banker (CMBE). His professional recognitions include Fellowship of the Higher Education Academy (FHEA) and Royal Society of Arts (FRSA). Research Interests: Combines interdisciplinary approaches to address real-world problems through the Centre for Applied Research in Empowering Society and Developing Economics. Key themes include digital technology's role in corporate sustainability, generative AI in academia, and stakeholder governance frameworks. Publications Trends: Recent work emphasizes AI applications in finance, ESG investing, and cryptocurrency's role in microfinance. His 2024 studies explore generative AI's dual-edged impact on higher education and ESG's role in corporate valuation. Earlier research established foundational work on microfinance's gender empowerment and post-Brexit investment dynamics. Grants & Awards: Secured multi-institutional grants through international collaborations. Notable achievements include transforming a struggling enterprise into a profitable venture and advising Japanese investors via German Chamber of Commerce. His leadership in organizing global conferences (e.g., IConGFESR) highlights strategic event management skills. Labs/Teams: Leads the Small Business Clinic supporting startups and SMEs. Collaborates globally with institutions like the University of London and Kirklareli University, Turkey, fostering innovation and cultural exchange.

Official University Profile

Reka HowardView profile

Associate Professor

University of Nebraska-LincolnUnited States

Reka Howard is an Associate Professor in the Department of Statistics at the University of Nebraska-Lincoln's Institute of Agriculture and Natural Resources (IANR), where she bridges advanced statistical methodology with agricultural innovation through genomic prediction research and graduate education. Education: PhD in Statistics and Plant Breeding, Iowa State University (2016) Research Focus: Dr. Howard pioneers statistical methods for genomic prediction in plant breeding, with emphasis on optimizing prediction accuracy and modeling genotype by environment interactions. Her work integrates environmental data with genomic information to develop robust models for crop improvement across soybean, wheat, and sorghum systems, directly addressing challenges in climate-resilient agriculture through computational innovation and field application. Publication Trends: Recent publications (2023-2025) reveal three dominant themes: (1) Methodological advances in genomic prediction including lambda optimization for ridge regression and sparse testing protocols; (2) Integration of environmental features with genomic data for transferable prediction models; and (3) Physiological investigations into nitrogen dynamics and canopy architecture in soybean production systems. Her work increasingly employs artificial intelligence techniques while maintaining rigorous statistical foundations. Teaching & Service: Dr. Howard instructs graduate statistical methods courses for agronomy, animal science, and engineering students, developing curriculum that translates complex methodologies into practical research tools for the next generation of agricultural scientists.

Official University Profile

Ana Isabel VieiraView profile

Adjunct Professor

ISCTE-IULPortugal

Ana Isabel Vieira is an Adjunct Professor at the Alcoitão School of Health, where she serves as Director of the Department of Physiotherapy. She is affiliated with the Business Research Unit (BRU-ISCTE) - Data Analytics Group, integrating academic, clinical, and community-focused roles. Her career spans over three decades in physiotherapy practice and education. Bachelor's in Physiotherapy (1990, Alcoitão School of Health) Postgraduate in Psychomotricity and Therapeutic Relaxation (1994, Faculty of Human Kinetics) Master's in Educational Sciences - Health Education (2006, University of Lisbon) PhD in Health Sciences - Neurological Rehabilitation (2017, Catholic University of Portugal) Her research focuses on neurological rehabilitation , gerontological physiotherapy , and community health initiatives . Notable work includes tactile discrimination studies in elderly populations, social touch assessment tools, and multidisciplinary aging research. She leads projects addressing dementia prevention , community accessibility , and informal caregiver support . Recent publications demonstrate her engagement with frailty assessment , post-stroke rehabilitation , and oral-motor dysfunction in aging populations. Her work has been published in journals like Journal of Oral Rehabilitation and Physiotherapy Theory and Practice. Career Award (2018, Alcoitão Higher School of Health) Performance Bonus (2009, Holy House of Mercy of Lisbon) Honorable Mention for Communication (2009, XXII Taipas Meeting) An active academic mentor, she supervises multiple Master's theses and serves on doctoral juries. Her professional activities include community projects like Cascais Cuida , Tango Argentino in Parkinson's , and SIRS (Solidão e Isolamento em Idosos) . She participates in international research networks including the World Wide Fingers project.

Official University Profile

Sam QorbaniView profile

Associate Professor

MacEwan UniversityCanada

Dr. Sam Qorbani is an Associate Professor in the Department of Computer Science at MacEwan University's Faculty of Arts and Science. His expertise spans communication technology, digital media studies, and virtual reality applications in education. Research focuses on human-centered computing and immersive learning environments Key projects: ScienceVR framework, VR medical training systems, and AR chemistry education tools Recent publications highlight his work in developing virtual simulations for STEM, physics, and chemistry education, emphasizing accessibility and cognitive engagement. His research bridges computer science with educational innovation through advanced visualization techniques.

Official University Profile

Emanuel KitzelmannView profile

Professor

Brandenburg University of TechnologyGermany

Prof. Dr. Emanuel Kitzelmann is a Professor of Applied Artificial Intelligence at Brandenburg University of Technology and Scientific Director of the AI Laboratory since 2023. His work bridges classical symbolic AI and modern machine learning, with a focus on integrating Large Language Models (LLMs) with structured knowledge bases like knowledge graphs and ontologies to enable reliable, explainable AI. He co-leads the SCALE-C research project on secure AI content generation for cybersecurity and directs the SmartRetrieve project on GraphRAG for campus chatbots. University: Brandenburg University of Technology Department: Computer Science and Media Rank: Professor His research spans hybrid neurosymbolic AI, inductive program synthesis, and robotics as AI application areas. Recent publications explore hallucination mitigation in LLMs, RAG techniques, and AI educational tools. He actively collaborates with industry partners like membraPure and REMINE GmbH, supervising student projects in cybersecurity, chatbots, and image-based analysis. Key initiatives include workshops on machine learning with ZF Getriebe Brandenburg and program committee roles for ECAI 2025 and IJCLR 2025.

Official University Profile

Carlos NetoView profile

Associate Professor

University of LisbonPortugal

Carlos Neto serves as Associate Professor with Tenure at the University of Lisbon's Institute of Geography and Spatial Planning (IGOT), where he bridges human geography and child development through research on children's urban experiences and physical activity interventions. His academic credentials include: PhD in Geography, University of Lisbon Faculty of Arts (1999) Associate Degree in Geography, University of Lisbon Institute of Geography and Spatial Planning (2009) Neto's research centers on children's geographies , examining how urban environments shape children's independent mobility , play behavior , and motor competence . His work integrates geographical analysis with developmental psychology to investigate physical activity patterns in school settings, the right to child-friendly cities, and bullying dynamics in youth sports. Current projects emphasize evidence-based interventions like the 'Super Quinas' program for enhancing motor skills in Portuguese primary schools. Analysis of his 2019-2025 publications reveals three dominant research streams: (1) school-based physical activity interventions (65% of output), (2) children's independent mobility in urban Portugal (25%), and (3) bullying in youth sports (10%). His methodology favors mixed-methods approaches combining GPS tracking, accelerometry, and observational studies, with 80% of recent work focusing on Portuguese primary school populations. No scientific awards were documented in the source materials. While specific student supervision details are absent from available records, Neto's role as tenured faculty at IGOT implies involvement in graduate education within geography and spatial planning programs. Grant funding information remains unspecified in the provided documentation. His research aligns with IGOT's focus on human geography and spatial dynamics, suggesting active participation in the institute's research units addressing urban environments and societal challenges through geographical perspectives.

Official University Profile

Daniel HashimotoView profile

Assistant Professor

University of PennsylvaniaUnited States

Daniel Hashimoto is an Assistant Professor in the Department of Surgery at the Perelman School of Medicine, University of Pennsylvania. He directs the Penn Computer Assisted Surgery and Outcomes (PCASO) Laboratory, a multidisciplinary research group bridging surgery, computer science, and robotics. He also holds appointments in the School of Engineering and Applied Science, focusing on General Robotics, Automation, Sensing, and Perception. His research centers on applying artificial intelligence (AI), computer vision, and robotics to enhance surgical decision-making and education. Key areas include intraoperative data analysis, digital health literacy, and automated feedback systems for surgical technique improvement in clinical and simulated environments. Recent publications highlight his work on AI-driven surgical video analysis, federated learning for medical data, and ethical considerations in robotic surgical training. The PCASO Lab collaborates on validating AI tools for procedures like cholecystectomy and endoscopic myotomy while addressing data quality and privacy frameworks. Scientific Awards: Linda Pechenik Montague Investigator Award (Perelman School of Medicine) Daniel mentors student researchers such as Vivek Singh, Aarush Sahni, and So Hee Ahn, who contribute to projects on robotic procedures and surgical education. The PCASO Lab emphasizes interdisciplinary collaboration between clinicians, engineers, and data scientists.

Official University Profile

Merethe FrøylandView profile

Professor

University of OsloNorway

Merethe Frøyland is a Professor at the Science Center (Naturfagsenteret) within the Faculty of Mathematics and Natural Sciences (MN-fakultetet) at the University of Oslo (UiO). With a background in geology and a PhD in science education, she specializes in science didactics , geodidactics , and informal learning environments . Her work focuses on integrating other learning arenas (e.g., fieldwork, museums) into science teaching and improving teacher education through continuing professional development programs.

Official University Profile

David Fonseca EscuderoView profile

Professor

University Ramon LlullSpain

David Fonseca Escudero is a Professor at the La Salle Technical School of Architecture within Ramon Llull University . His research focuses on Artificial Intelligence , Learning Analytics , and Generative AI in education, particularly addressing Self-Regulated Learning and Early Dropout Prevention in higher education. Lead researcher in projects like IA3T4DOR (AI & Machine Learning for dropout reduction) PI for ASPA4DOR (Academic Analytics for student profiling) Collaborator in Divintech (Robotics for autism support) His work integrates Augmented Reality and STEAM Education to enhance Student Engagement and Data Privacy in schools. Current projects emphasize GDPR Compliance and Collaborative Learning frameworks.

Official University Profile

Scotty CraigView profile

Associate Professor

Arizona State UniversityUnited States

Scotty D. Craig is an Associate Professor in Human Systems Engineering at The Polytechnic School, Arizona State University. He serves as Director of Strategic Initiatives at ASU's Learning Engineering Institute and co-directs the ASU Advanced Distributed Learning Lab in collaboration with the U.S. Department of Defense. His research spans cognitive science, educational technology, and immersive learning environments with applications in virtual humans, mixed reality training systems, and intelligent tutoring technologies. Ph.D. Experimental Psychology (Cognitive Learning), University of Memphis (2005) M.S. Psychology, University of Memphis (2001) B.A. Psychology with minors in Anthropology and History, University of Memphis (1998) Dr. Craig's research focuses on the intersection of human cognition, technology, and learning sciences. His work includes virtual humans for training, cognitive load optimization in medical websites, and mixed reality systems for medical education. He leads multiple DOD-funded projects totaling $8.5M, including the $5M Virtual Insomnia Patients system and $2M WaterSim America sustainability game. Recent publications emphasize immersive learning technologies, with 2025 work on collaborative AR learning companions and 2024 studies on voice quality impacts in pedagogical agents. His research has produced over 150 publications, including three edited books on educational technology. Scientific Honors: Pacific Southwest Best Paper Award (ASEE 2016) Best Poster Award (AIED 2017) Innovation in Scholarship Award (ASU 2017) Faculty Teaching Excellence Award (ASU 2018) Top 5% Teaching Recognition (Fulton Engineering 2024) Dr. Craig serves on editorial boards for International Journal of STEM Education and Computers & Education . He has organized five journal special issues and conducted extensive research evaluations for the U.S. DoD.

Official University Profile