Find Academic Supervisors

Dominik MoritzView profile

Assistant Professor

• Human-Centered Machine Learning
• Data Science
• Interactive Systems
• +6 more

Dominik Moritz is an Assistant Professor at the Human-Computer Interaction Institute (HCII) of Carnegie Mellon University and Machine Learning researcher at Apple. He leads the Data Interaction Group and develops systems for interactive data visualization. Ph.D. in Computer Science from University of Washington (2019) B.S. in Computer Science from Hasso Plattner Institute (2013) His research focuses on: Human-Centered Machine Learning Data Visualization Toolkits Interactive Systems Design Accessibility in Visual Analytics Scalable Web-Based Visualization Recent publications address visualization design knowledge formalization (Draco), cross-filtering frameworks (Mosaic), and accessibility evaluation (Chartability). He has received Best Paper Honors at VIS and EuroVis conferences. Professional Collaborations: Co-founder of Vega-Lite visualization grammar Collaborations with Jeff Heer, Bill Howe, Jock MacKinlay Projects with Microsoft Research and Google Research

Roger D. EastmanView profile

Professor

• Computer Vision
• Robotics
• Immersive Media Design
• +3 more

Roger D. Eastman is a Professor of the Practice in the Department of Computer Science at the University of Maryland, College Park, and serves as Director of the Immersive Media Design Program. He holds a Ph.D. (1990) and B.A. (1979) in Mathematics and Computer Science from the University of Maryland and University of Missouri-Columbia, respectively. His research focuses on computer vision applications in robotics, remote sensing, and immersive media. Notable projects include work with NASA-Goddard on satellite imagery registration, NIST on robotics perception standards, and JHU on medical imaging for glaucoma diagnosis. Current efforts emphasize XR visualization for Earth science and algorithmic art. Teaching priorities include introductory computer science, non-major courses in computer art with Processing/Arduino, and graphics/HCI. He has supervised undergraduate research leading to advanced academic and industry careers in VFX/game design. Publications span image registration techniques, sensor ontology development, and XR-based scientific visualization. Collaborations include Google Scholar profiles and a Cambridge Press book on remote sensing registration.

• Digital Health
• Telehealth Implementation
• Health Economics
• +3 more

Professor Suzanne Robinson is an Adjunct Professor at Curtin University's Curtin School of Population Health, part of the Faculty of Health Sciences. She also serves as Chair and Director of Deakin Health Economics (2022–present) and previously held roles such as Director of Health Economics and Data Analytics (2012–2022). Her work focuses on digital health, telehealth implementation, and health economics, with a strong emphasis on using health data to improve equitable service delivery. She has secured over $200 million in funding for digital health innovation. Education : PhD in Health Services Research (2007) MSc in Health Economics and Health Policy (University of Birmingham, 1999) BSc (Hons) in Public and Social Policy Management (University of Birmingham, 1998) Research Interests : Suzanne leads international research in digital health, including telehealth and virtual care. Her work spans economic evaluations of clinical trials, health resource allocation, and policy decision-making. Key areas include health data utilization, service improvement, and addressing health inequities. Grants & Leadership : She has secured major grants, including a $200M industry-government consortium for digital health innovation. Her leadership roles include managing large-scale data analytics projects and health policy initiatives. Labs & Teams : Collaborates with interdisciplinary teams on telehealth implementation, economic evaluations, and data linkage studies, such as the PATHFINDER trial and telepractice disability projects.

Torsten ReinersView profile

Senior Lecturer

• Supply Chain Management
• Logistics and Operations
• Decision Support Systems
• +5 more

Dr. Torsten Reiners is a Senior Lecturer at Curtin University's School of Management and Marketing, part of the Faculty of Business and Law. His research focuses on Supply Chain Management, Operations Optimization, Emerging Technologies (IoT, Mixed Reality), and Decision Support Systems. He holds a PhD in Information Systems/Education and has expertise in programming and development related to virtual reality and IoT. Key research areas include end-to-end supply chain transparency, urban logistics, cyber-physical systems, and gamification in training. His work bridges Computer Science and Business, with over 50 publications in journals like International Journal of Production Economics and Australasian Journal of Information Systems . He has led projects funded by OLT grants and industry partnerships, including the nDiVE VR training environment for Logistics education. Reiners' contributions span gamification design, virtual world pedagogy, and sustainable supply chain analytics. His current projects explore IoT adoption impacts and agricultural logistics optimization. He advises on digital ecosystems, geospatial analytics, and mental health systems in pandemic contexts.

• African American Studies
• Critical Race Theory
• Gender and Sexuality Studies
• +4 more

T. Chester is an academic affiliated with Arizona State University (ASU), serving as a Lecturer in the School of Social Transformation. Their research focuses on critical race theory, gender and sexuality studies, queer theory, and global historical topics like the transatlantic slave trade. Chester holds a PhD from ASU, an MA from Temple University, and a BA from Florida State University. Courses taught include Race, Gender and Sport , Critical Race Theory , and Global History: Slave Trade . Education: PhD in Social Transformation, Arizona State University MA in African American Studies, Temple University BA in Africana Studies, Florida State University Research interests emphasize intersections of race, gender, and urban resilience. Recent work explores climate adaptation strategies in infrastructure systems, particularly in Phoenix and coastal cities. Chester contributes to frameworks linking social-ecological-technological systems for equitable urban development. Their publications analyze cascading infrastructure failures, heat exposure mitigation, and disaster preparedness. Advancing interdisciplinary collaboration, Chester integrates historical analysis with contemporary urban challenges, advocating for socially just sustainability practices in infrastructure design.

Zia Ush ShamszamanView profile

Senior Lecturer

• Cybersecurity
• AI Governance
• Secure and Safe AI
• +5 more

Dr. Zia Ush Shamszaman is a Senior Lecturer in Computer Science at Teesside University's School of Computing, Engineering & Digital Technologies (SCEDT). He holds a PhD in Computer Science from the University of Galway and a Master's from Hankuk University of Foreign Studies. His research focuses on Cybersecurity, AI Ethics, IoT Resilience, and Game Theory applications, with a strong emphasis on bridging academic research with industry applications. Teaching responsibilities include postgraduate modules on AI Ethics, Cyber Risk Management, and Ethical Hacking, alongside undergraduate courses in Secure Data Acquisition and Ethical Hacking. He actively supervises five PhD students in cybersecurity and AI, advocating for inclusive technology education and societal impact. Professional memberships include IEEE (Senior Member), Elsevier Advisory Panel, and W3C. He has organized conferences like the International Conference on Suitable Technologies 4.0 and served on program committees for major events. Recognized for exceptional peer reviewing, he has received awards from leading journals like the Journal of Network and Computer Applications and Future Generation Computer Systems. Current projects funded by Innovate UK include CyberPathway (diversity in cybersecurity education), SafeSCMS (AI-driven supply chain security), and Opera-CyberThemis (trustworthy AI frameworks). Past industry roles include technical leadership in Bangladesh's government projects like the Machine Readable Passport system and World Bank-funded Bangladesh Automated Clearing House initiative. Shamszaman's work spans industry collaborations, academic leadership, and community engagement, with recent media contributions on GenAI governance and cyber resilience strategies. His research integrates theoretical advancements with practical solutions for SMEs, healthcare systems, and underserved communities.

Mary Elizabeth KurzView profile

Associate Professor

• Scheduling
• Metaheuristics
• Industrial Engineering
• +5 more

Mary Elizabeth Kurz is an Associate Professor in the Department of Industrial Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. Her research focuses on scheduling optimization, metaheuristics, and assembly line balancing for complex manufacturing systems. Education: B.S., Systems Engineering, University of Arizona (1995) M.S., Systems Engineering, University of Arizona (1997) Ph.D., Systems and Industrial Engineering, University of Arizona (2001) Research interests include: Development of heuristics and metaheuristics for scheduling Assembly line balancing with ergonomic constraints Flexible flowline scheduling with sequence-dependent setups Application of genetic algorithms and particle swarm optimization Recent work trends show applications in opioid crisis modeling, photolithography scheduling, and automotive configuration management. She has presented at INFORMS and IISE conferences, with special emphasis on multi-objective optimization and real-world industrial constraints. Scientific awards: Third Place Best Paper, ASME Manufacturing Engineering Division (2014) As an INFORMS member and Institute of Industrial Engineers Senior member, she has taught courses in operations research, decision support systems, and metaheuristics. Her work spans both theoretical and applied domains, with a strong focus on manufacturing system efficiency.

Emily TuckerView profile

Assistant Professor

• Social Good Operations Research
• Stochastic Optimization
• Quantum Optimization
• +3 more

Emily Tucker is an Assistant Professor in the Department of Industrial Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. Her research bridges operations research, stochastic modeling, and healthcare logistics to address critical societal challenges. Education: Ph.D. in Industrial and Operations Engineering, University of Michigan (2020) M.S.E. in Industrial and Operations Engineering, University of Michigan (2017) B.S. in Industrial and Systems Engineering, North Carolina State University (2013) Her research focuses on stochastic optimization, quantum computing applications, supply chain resilience, and healthcare policy. Recent work includes geopolitical impacts on pharmaceutical supply chains, equitable urban planning through optimization, and pandemic response strategies. Key publication trends show integration of stochastic modeling with healthcare operations (2020-2025), quantum optimization advancements, and resilience frameworks for disaster relief and global health equity. Her work spans theoretical algorithm development and real-world implementation in public health and supply chain domains. Professional Affiliations: Senior Member, Institute of Industrial and Systems Engineers (IISE) Member, Institute for Operations Research and the Management Sciences (INFORMS) She teaches graduate courses in transportation engineering, optimization theory, and uncertainty modeling. Research emphasizes policy-driven supply chain solutions and social good applications of operational research.

Abolfazl SafikhaniView profile

Assistant Professor

• Network Modeling
• High-Dimensional Statistics
• Spatiotemporal Models
• +5 more

Abolfazl Safikhani is an Assistant Professor in the Department of Statistics at George Mason University. He holds a PhD in Statistics and Probability from Michigan State University and has held prior positions at Columbia University and the University of Florida. His research focuses on network modeling, high-dimensional statistics, spatiotemporal models, and applications in urban planning, neuroscience, and smart cities. He is an Associate Editor for Technometrics , Statistica Sinica , and Data Science in Science . He has contributed to advancements in statistical methodologies for time series analysis, including change point detection, transfer learning, and spatiotemporal modeling. His work bridges theoretical statistics with practical applications in urban growth prediction, healthcare (e.g., cancer drug response modeling), and transportation systems. Recent research trends include leveraging explainable AI for land use modeling, longitudinal omics data analysis, and structural break detection in high-dimensional systems. His publications span theoretical developments and real-world case studies, such as subway ridership during the pandemic and New York City’s taxi demand dynamics. Despite no listed awards, his editorial roles highlight his influence in statistical science. He actively mentors students and collaborates on interdisciplinary projects, emphasizing data-driven solutions for complex societal challenges.

Ryer BeckerView profile

Academic

• Forest Operations
• Smart Forestry
• Workforce Development
• +3 more

Ryer Becker is an Assistant Research Professor at the University of Idaho's Department of Forest, Rangeland and Fire Sciences within the College of Natural Resources. He holds a Ph.D. (2022), M.S. (2017), and multiple B.S./A.A.S. degrees (2013-2014) in forest-related fields from Paul Smith's College and the University of Idaho. His research focuses on workforce development, smart forestry technologies, remote sensing applications, and forest operations safety. He specializes in leveraging technology such as LiDAR, GNSS-RF devices, and smartphone-based systems to improve forest management practices and engage future forestry professionals. Dr. Becker has authored/co-authored peer-reviewed articles on topics including fuel treatment modeling, equipment activity recognition, and mastication effects on forest ecosystems. His 2024 work highlights innovative approaches to workforce engagement through technology. He teaches courses like FOR 272 (GIS Applications) and FOR 230 (Forest Operations). Awarded the 2023 Western Region Technical Writing Award and 2015 SAF Presentation Award, his expertise bridges applied research with practical training for the forest products industry.

David BarrettView profile

Research Fellow

• Sport Participation
• Volunteering
• Spatial Analysis
• +5 more

David Barrett serves as a Research Fellow at Sheffield Hallam University's School of Sport and Physical Activity within the College of Health, Wellbeing and Life Sciences, where he has contributed to the Sport Industry Research Centre (SIRC) for over 16 years. Specializing in GIS and spatial data analysis, he partners with national sport organizations across the UK and Ireland—including the Gaelic Athletic Association, Sport England, and UK rugby governing bodies—to enhance research capacity on participation trends, volunteering dynamics, talent pathways, and economic impact assessments. Barrett's research centers on the critical relationship between volunteer workforces and sport participation, particularly examining how voluntary sports clubs sustain participation opportunities amid socioeconomic pressures. His expertise in transforming organizational 'business as usual' data into strategic insights informs studies on cost-of-living impacts, pandemic recovery in grassroots sport, and the socioeconomic value of Gaelic Games. Methodologically, he integrates spatial database management, large-scale surveys, and qualitative stakeholder analysis to address complex sector challenges. Recent publication trends reveal Barrett's focus on external shock resilience (Covid-19, cost-of-living crises), talent pathway inclusion across UK/Irish nations, and the economic-social valuation of sport. His work consistently bridges academic rigor with practical application for sport governing bodies, emphasizing spatial analytics and longitudinal data to track participation shifts and organizational adaptation. Scientific recognition includes: Fellow of the Royal Geographical Society (FRGS) Barrett has led major commissioned research for Sport England, UK Sport, and the GAA—including facility audits across four UK/Irish football associations and the landmark Gaelic Games economic valuation study. His advisory role extends to local authorities and professional clubs like Celtic FC, where he translates data into strategic frameworks for sport development. As an active hockey volunteer and contributor to The Hockey Paper, he maintains direct engagement with community sport dynamics. Based at SIRC, Barrett collaborates within Sheffield Hallam's sport research ecosystem, leveraging partnerships with national governing bodies to advance evidence-based policy. His current projects examine outdoor learning infrastructure and Camogie participation baselines, continuing SIRC's tradition of impactful sport sector consultancy.

Ryan Qi WangView profile

Assistant Professor

• Urban Informatics
• Human Mobility
• Resilience Engineering
• +2 more

Ryan Qi Wang is an Assistant Professor of Civil and Environmental Engineering at Northeastern University, jointly appointed with the College of Social Sciences and Humanities. He serves as Associate Research Director for Social Media at the Boston Area Research Initiative (BARI), investigating urban mobility patterns, disaster resilience, and geosocial networks. His research combines urban informatics with complex systems analysis to understand human movement during crises, urban inequalities, and sustainable city development. Recent publications examine mobility responses to environmental hazards, algorithmic biases in mobility models, and data-driven approaches to urban sustainability.

Ananth V. IyerView profile

Professor

• Supply Chain Logistics
• Emergency Response Management
• Digital Education Distribution
• +3 more

Ananth V. Iyer is the Dean Professor of Operations Management and Strategy at the School of Management, University at Buffalo. He holds a PhD and MBA from the University of Florida, along with a BFA from the North Carolina School of the Arts. His research focuses on emergency response logistics, sustainable supply chain systems, and digital education distribution. He has pioneered models for contingency management, supply chain vulnerability analysis, and innovative educational technologies. Key professional contributions include developing frameworks for emergency resource allocation, evaluating recycled content claims in manufacturing, and optimizing winter operations logistics. His work frequently intersects with public policy, as seen in studies on freight infrastructure planning and INDOT project impacts. Education: PhD & MBA (University of Florida), BFA (North Carolina School of the Arts) Affiliations: Decision Sciences Institute, American Production and Inventory Control Society Labs/Teams: Academic Director of Digital Access Education Program, member of Extreme Events Research Area & Geohazards Studies Center His publications span prestigious journals like Journal of Operations Management and European Journal of Operational Research , with a focus on practical applications in public safety and industry. Awards include SUNY’s Chancellor’s Award and multiple Decision Sciences Institute recognitions.

Jun ZhuangView profile

Professor

• Operations Research
• Game Theory
• Hazard Response
• +5 more

Jun Zhuang is the Associate Dean for Research and Morton C. Frank Professor at the University of Buffalo's School of Engineering and Applied Sciences, Department of Industrial and Systems Engineering. With a PhD in Industrial Engineering from the University of Wisconsin-Madison, his work bridges operations research, game theory, and hazard response, focusing on cybersecurity, disaster management, and social media analysis during crises. Education: PhD, Industrial Engineering, University of Wisconsin-Madison MS, Industrial Engineering, University of Wisconsin-Madison MS, Agricultural Economics, University of Kentucky BE, Industrial Engineering, Southeast University, China His research employs game theory to model attacker-defender dynamics in homeland security, fire risk management, and misinformation control during disasters. Recent work explores machine learning applications for social media monitoring and resource allocation optimization. Jun Zhuang has supervised over 40 graduate/undergraduate researchers, with 8 PhD graduates now as faculty at institutions like Cal Poly, University of Houston, and Stevens Institute. His students' work spans terrorism interdiction, fire safety models, and pandemic-related risk management. Scientific Awards: Fellow, Society for Risk Analysis (2022) SUNY Chancellor's Excellence in Scholarship (2020-21) UB Exceptional Scholar Sustained Achievement (2019) SEAS Senior Researcher of the Year (2018) Koopman Prize, INFORMS Military Applications (2017) As advisor and researcher, he has secured multiple NSF REU awards, collaborated with international scholars from China, India, and Saudi Arabia, and contributed to policy development for disaster response and fire protection strategies.

• Computer Vision
• High Performance Computing
• Data Science
• +1 more

Kannappan Palaniappan is a Curators' Distinguished Professor in Electrical Engineering and Computer Science at the University of Missouri. His pioneering work spans computer vision, high-performance computing, and biomedical image analysis, with applications from molecular microscopy to satellite remote sensing. Received prestigious honors including NASA Public Service Medal for scientific visualization innovations and National Academies Jefferson Science Fellowship. Research interests include large-scale image analysis, geospatial visualization, biomedical imaging, and parallel computing algorithms. Developed foundational techniques for the Digital Earth visualization system and co-founded NASA's Visualization and Analysis Lab. Publications demonstrate extensive applications across scales from cellular neuroscience to Earth observation. Recent works focus on neural circuit modeling, high-performance computing frameworks, and interdisciplinary applications in neuroscience and geospatial analysis. NASA Public Service Medal National Academies Jefferson Science Fellowship Air Force Summer Faculty Fellowship Boeing Welliver Faculty Fellowship William T. Kemper Teaching Fellowship Secured research funding from NIH, NSF, NASA, and DoD laboratories. Holds patents for moving object detection and camera pose estimation technologies.