Find Academic Supervisors

• Mechanical Engineering
• Engineering Design Theory and Methodology
• Multiobjective Optimization
• +6 more

Christopher A. Mattson is a Professor of Mechanical Engineering at Brigham Young University (BYU) and director of the Design Exploration Research Group. With a PhD from Rensselaer Polytechnic Institute (2003), he has received prestigious awards including the Presidential Early Career Award (PECASE), NSF CAREER Award, Fulbright Scholarship, and ASME Fellowship. Education: PhD, Mechanical Engineering, Rensselaer Polytechnic Institute (2003) MS, Mechanical Engineering, BYU (2001) BS, Mechanical Engineering, BYU (1999) Research Interests: Focus on engineering design theory, multiobjective optimization, and social impact modeling for global development. Applications span poverty alleviation, sustainable design, and modular product platforms. He develops formal methodologies integrating computational optimization with social and environmental factors during conceptual design stages. Teaching Interests: Specializes in team-based engineering design, teaching courses like Advanced Product Development and Global Product Development. His pedagogy emphasizes interdisciplinary collaboration, industry-sponsored projects, and global engagement through travel and cross-cultural partnerships. Scientific Awards: ASME Fellow (2020–Present) NSF CAREER Award (2010–2014) Presidential Early Career Award (PECASE) (2012) Ben C. Sparks Medal (ASME) (2015) Fulbright Scholar (2014–2015) Professional Service: Holds leadership roles in ASME committees, serves as Associate Editor for Journal of Mechanical Design , and contributes to multidisciplinary design optimization societies. His work bridges academia, industry, and international development through sponsored projects and research collaborations.

Jean MuhammadView profile

Associate Professor

• Software Engineering
• Computer Science Education
• Cyber Security Education
• +2 more

Jean Muhammad serves as Chair and Associate Professor in the Department of Computer Science at Hampton University's School of Science, specializing in software engineering, cybersecurity education, and leadership management. Her academic journey spans Florida State University (Ph.D., 2005), Illinois Institute of Technology (M.S., 1991), and Chicago State University (B.S., 1984), complemented by industry roles at AT&T Bell Labs and Nokia. Howard University: Business Administration (1968-1970) District of Columbia Teachers College: Business Education (1973-1975) Chicago State University: Computer Science B.S. (1984) Illinois Institute of Technology: Computer Science M.S. (1991) Florida State University: Computer Science M.S. (1999) Florida State University: Computer Science Ph.D. (2005) Her research bridges software engineering pedagogy with practical cybersecurity applications, focusing on risk management frameworks and inclusive technology education. Key initiatives include developing curricula for underrepresented students and analyzing ethical implications of autonomous systems through interdisciplinary collaborations. Recent publications reveal strong trends in applied AI ethics (autonomous vehicles), healthcare technology integration, and cybersecurity awareness across demographics. Her work consistently addresses societal impacts of technology, with 70% of recent publications involving student co-authors in undergraduate research symposia. NPSC Fellowship Award (1996) As primary advisor for 15+ undergraduate/graduate researchers, she has secured $8.4M in grants including NSF S-STEM scholarships ($622K), ONR cybersecurity training ($250K), and Amazon Robotics funding ($500K). Her leadership extends to the HU GETS-IA CyberCorps program and Apple/HBCU C2 partnerships. She co-advises the CyberCorps Scholarship for Service cohort and leads the Chair's Graduate School Club, fostering industry placements through partnerships with Lockheed Martin, IBM, and Deloitte while directing Hampton's cybersecurity research infrastructure.

Yong ChenView profile

Professor

• Data-Intensive Computing
• Parallel and Distributed Computing
• High-Performance Computing
• +3 more

Dr. Yong Chen is a Professor and Interim Department Chair in the Computer Science Department at Texas Tech University (TTU), where he founded the Data-Intensive Scalable Computing Laboratory (DISCL). He also serves as Co-Director of the NSF Cloud and Autonomic Computing Center (CAC@TTU), focusing on data-intensive computing, high-performance computing (HPC), cloud systems, and parallel/distributed architectures. His research bridges hardware-software co-design for scientific and enterprise applications. Ph.D., Computer Science, Illinois Institute of Technology (2009) M.S., Computer Science, University of Science and Technology of China (2003) B.E., Computer Engineering, University of Science and Technology of China (2000) Dr. Chen's research spans data-intensive computing, HPC, cloud systems, and parallel architectures. He develops scalable solutions for scientific discovery and enterprise computing, emphasizing systems software, storage optimization, and hardware-software co-design. His work addresses challenges in metadata management, 3D-stacked memory, and efficient resource allocation in distributed environments. Recent publications include studies on 3D-stacked memory optimization (IEEE TC), metadata indexing (SC), and parallel file system reliability (ICS). His work is characterized by interdisciplinary collaboration and practical applications in HPC domains. NSF-TCPP Early Adopter Status Award Best Paper Award (IPDPS'21) Outstanding Teaching Assistant, IIT (2006) Dr. Chen advises students through graduate and undergraduate research assistantships at DISCL and CAC@TTU, offering financial support for qualified candidates. He has contributed to major conferences as Program Co-Chair (ICPP) and Committee Member (IPDPS, CCGrid, ISC, HPCAsia). Labs/Teams: Data-Intensive Scalable Computing Laboratory (DISCL), NSF Cloud and Autonomic Computing Center (CAC@TTU).

Amy J. KoView profile

Professor

• Computing Education
• Human-Computer Interaction (HCI)
• Equity & Justice in Computing
• +6 more

Amy J. Ko is a Professor and Associate Dean for Academics at the Paul G. Allen School of Computer Science & Engineering and The Information School at the University of Washington, Seattle . She serves as Editor-in-Chief of ACM TOCE , co-directs Reciprocal Reviews and CS for All Washington , and leads the CENSOR Research Lab . Her work prioritizes equitable, liberatory computing education , bridging human-computer interaction and social justice . Research Focus: Equity in CS education, AI literacy, inclusive design, developer productivity, and ethical technology use Awards: Best Paper Award (2024, 2022) Diversity + Inclusion Award (2024) Most Influential Paper Honorable Mention (2014) Honorable Mention (2024, 2023) Publications: Over 184 works spanning program comprehension, assessment design, ethical pedagogy, and democratizing computing education Books: Foundations of Information , Critically Conscious Computing , and Teaching Accessible Computing Her Google Scholar profile reflects citations under her deadname, which she advocates to correct. She emphasizes student agency and community collaboration , particularly with marginalized groups in computing spaces.

Steven MillerView profile

Senior Lecturer

• Statistics
• Machine Learning
• International Conflict
• +3 more

Dr. Steven Miller serves as a Senior Lecturer and Docent at Stockholm University 's Department of Economic History and International Relations. His research investigates the intersection of international conflict and political behavior through statistical analysis and machine learning methodologies. His recent work focuses on constructing comprehensive datasets like the Militarized Interstate Events (MIE) dataset and Militarized Interstate Confrontation (MIC) dataset , both covering 1816-2014 with innovative fatality estimation and dyadic conflict modeling. He also developed the {peacesciencer} R package for peace science data creation. NSF-funded research featured in The New York Times and The Washington Post Specializes in conflict evolution, territorial threats, and authoritarian belief adoption Contributes to quantitative methodology in political science through open-source tools

Sanjoy PaulView profile

Associate Professor

• Supply Chain Risk Management
• Supply Chain Resilience
• Sustainable Supply Chain Management
• +3 more

Sanjoy Paul is an Associate Professor at the University of Technology Sydney (UTS) Business School, specializing in supply chain management and operations research. He holds roles as Associate Editor of Business Strategy and the Environment and Global Journal of Flexible Systems Management . His research focuses on supply chain resilience, risk modeling, and sustainable practices, with applications to global disruptions like pandemics and IT outages. Paul has published in top-tier journals such as the European Journal of Operational Research and secured grants from government bodies including the Department of Defence. Education and Career: Prior to UTS, he worked at RMIT University and Bangladesh University of Engineering and Technology. He holds a PhD from UNSW, recognized with the Stephen Fester Prize for outstanding thesis. His career spans academic roles from Lecturer (2017) to Senior Lecturer (2019) before his current position since 2023. Research Contributions: Paul’s work bridges theoretical models and real-world applications, including recovery frameworks for supply chains during crises and strategies for sustainable practices in post-pandemic contexts. He frequently advises media on supermarket pricing, supply chain disruptions, and business strategies, appearing in outlets like The Guardian and ABC News . Awards and Recognition: His honors include the ASOR Rising Star Award, Research with Relevance Award, and inclusion in the top 2% global scientists (2020–2023). He has contributed to policy debates on supermarket competition, EV market dynamics, and Australia’s industrial strategies.

Jeffrey K. HollingsworthView profile

Professor

• High Performance Computing (HPC)
• Parallel Programming
• Operating Systems
• +5 more

Jeffrey K. Hollingsworth is a Professor in the Computer Science Department at the University of Maryland and serves as Vice President for Information Technology and Chief Information Officer (CIO) for the university. He holds appointments in CS, UMIACS (University of Maryland Institute for Advanced Computer Studies), and ECE (Electrical and Computer Engineering). His research focuses on High Performance Computing (HPC), parallel programming environments, and system architecture. He received a Ph.D. from the University of Wisconsin at Madison (1994) and a B.S. in Electrical Engineering from UC Berkeley. Hollingsworth leads the university’s IT infrastructure, overseeing critical services like networking, cybersecurity, and support for research and teaching. He has held leadership roles in professional organizations, including past chair of the ACM Special Interest Group on HPC (SIGARCH) and board positions with Internet2 and the Computing Research Association. His awards include IBM Faculty Partnership Awards (2016, 2001), an NSF CAREER Award (1997), and IEEE Senior Member status (2003). Key contributions include advancing HPC education through programs like the SC Student Cluster Competition and developing tools for performance analysis (e.g., PIPER, Chapel profilers). He has authored over 150 papers and has been cited for innovations in auto-tuning, parallel algorithms, and system optimization.

• Geomechanics
• Resources Geotechnical Engineering
• Resources Engineering
• +3 more

Justine Calleja is a Lecturer at the School of Civil, Mining and Environmental Engineering within the University of Wollongong , holding this position since 2022. Previously, she served as a Guest Lecturer in Mining Engineering at the same university (2007) and the University of New South Wales (2005–2007). Her professional career includes roles as a Senior Geotechnical Engineer at BHP Illawarra Coal (2012–2015) and a Senior Geotechnical Engineering Consultant at SCT Operations (2004–2008). She also led SnowsafeDB as a software developer (2003–2008). Dr. Calleja holds a Postgraduate MBBS in Medicine (2008–2009), a Master of Engineering (Geomechanics) from the University of New South Wales (2000–2002), and a Bachelor of Engineering (Mining) (1st Class Honours) from UNSW (1992–1996), supported by a Shell Scholarship. Research Interests focus on geomechanical challenges in mining, including coal mine safety, rib and roof stability, and geotechnical hazard mitigation. Her work addresses coalburst mechanisms, mine support systems, and rapid assessment techniques for geological formations. She has contributed to software tools like Rapid Rating and Strata Safety to improve mine safety. Her publications emphasize practical solutions for coal mine geomechanics, such as diagnostic criteria for rockbursts and coupled bolt systems for horizontal stress management. Earlier work includes foundational studies on coal mine rib mechanics and roof rating methodologies. No scientific awards are listed, though her industry experience reflects technical leadership. She has advised on critical engineering projects and collaborated on software development for mining safety. Her expertise intersects academia and industry, shaping geotechnical practices in resource extraction.

Liang ZhangView profile

Assistant Professor

• Artificial Intelligence
• Mobile Edge Computing
• UAV Communications
• +3 more

Dr. Liang Zhang is an Assistant Professor in the Department of Engineering and Aviation Sciences at the University of Maryland Eastern Shore (UMES). He holds a Ph.D. in Electrical Engineering from New Jersey Institute of Technology (NJIT) and an M.S. in Information and Communication Engineering from the University of Science and Technology of China (USTC). His research focuses on machine learning, mobile edge computing, UAV communications, wireless communications, and IoT, with an emphasis on resource optimization and algorithm design. Education: Ph.D., Electrical and Computer Engineering, NJIT (2014–2020) M.S., Information and Communication Engineering, USTC (2011–2014) B.S., Electronic Science and Technology, Huazhong University of Science and Technology (HUST) Research Highlights: Dr. Zhang has pioneered work on deep reinforcement learning algorithms for UAV-assisted edge computing, caching optimization, and latency reduction in IoT systems. His contributions include the BRIDGES testbed project at George Mason University (GMU), supported by a $2.5M NSF grant, and the development of QoE-optimized frameworks for wireless VR and airborne networks. Awards & Recognition: Outstanding Dissertation Award (NJIT, 2023) Hashimoto Prize (NJIT, 2020) IEEE GLOBECOM Travel Grant (2016) Best Paper Award (IEEE ICNC, 2014) Professional Contributions: He has published 32 peer-reviewed articles and serves as a reviewer for IEEE journals. His work integrates machine learning with networking challenges, addressing practical issues like spectrum sharing in 5G, energy-efficient VM management, and dynamic resource allocation in optical networks.

Daniel PeppeView profile

Associate Professor

• Paleoclimatology
• Paleobotany
• Paleoecology
• +8 more

Dr. Daniel Peppe is an Associate Professor in the Department of Geosciences at Baylor University, located in Waco, Texas. He holds a Ph.D. from Yale University and leads the Peppe Research Group, which focuses on paleoclimatology, paleobotany, and paleomagnetism. His research integrates methods from ecology, stratigraphy, and sedimentology to study ancient climates and ecosystems in North America and East Africa. Key initiatives include developing paleoclimate proxies using leaf traits, reconstructing Neogene East African environments linked to hominid evolution, and analyzing Paleocene plant communities' responses to mass extinctions. Education: Ph.D., Yale University Research Interests: Paleoclimatology, Paleoecology, Geoarcheology, Stratigraphy, and Tectonic Processes His lab's work emphasizes field-based research and methodological integration, such as digital leaf physiognomy and paleomagnetic dating. Current projects include studying Pleistocene environments in the Lake Victoria Basin and early Miocene hominoid habitats in Kenya and Uganda. Dr. Peppe advises multiple graduate students (e.g., Dava Butler, Evan Cerna) and has an extensive record of publications across paleontology, geology, and climate science. His group collaborates internationally on projects like the REACHE initiative to understand East African hominoid evolution. Lab facilities at Baylor support fieldwork and analyses of fossils, sediments, and geochemical data. Dr. Peppe’s research contributes to understanding climate change impacts on ecosystems, with implications for modern environmental challenges.

• Civil Engineering
• Geotechnical Engineering
• Transportation Engineering
• +5 more

Hakan Yasarer is an Associate Professor of Civil Engineering at The University of Mississippi (Ole Miss). He holds a Ph.D. in Civil Engineering from Kansas State University (2013). His research focuses on geotechnical engineering, pavement performance modeling, groundwater hydrology, and machine learning applications in civil infrastructure systems. He specializes in developing predictive models using artificial neural networks (ANN) and integrating geospatial data with environmental monitoring systems. Education: Ph.D. Civil Engineering, Kansas State University (2013) Dr. Yasarer’s work emphasizes sustainable infrastructure solutions, including pavement deterioration modeling for state transportation departments (e.g., MDOT), groundwater stress zone mapping using GRACE satellite data, and innovative material applications like recycled glass for soil stabilization. He has pioneered open-source frameworks for downscaling GRACE data and transforming hydrology tools into web APIs. His research bridges civil engineering challenges with advanced computational methods, addressing both terrestrial (e.g., Mississippi Delta groundwater systems) and extraterrestrial construction scenarios (e.g., moon-to-Mars infrastructure). His publications consistently apply machine learning to civil engineering problems, such as predicting geotechnical parameters from seismic data, optimizing pavement maintenance strategies, and analyzing synthetic groundwater datasets. While no specific awards are listed, his contributions to geospatial hydrology and ANN-based modeling reflect impactful scholarly work. Dr. Yasarer’s advising and grant activities are integral to his role, though specific grant details are not provided in the text. His lab likely focuses on computational civil engineering tools and sustainability initiatives, supported by collaborations with state agencies and NASA-funded projects like the 'In-Situ, Resilient, and Sustainable Moon to Mars Construction' campaign.

• Empirical software engineering
• Software architecture
• Design patterns
• +8 more

Justus Bogner is a researcher at the Institute of Software Engineering (ISTE) and leads the division for Software Engineering for AI- & Microservice-Based Systems (SE4AI&MS) at the University of Stuttgart. His work focuses on empirical software engineering , microservices , AI-based systems , and software evolvability . He has contributed extensively to understanding architectural migration, technical debt in AI systems, and quality assurance methodologies. His research spans various subfields including service-oriented architecture , RESTful API design , design patterns , and software maintainability metrics . Recent publications highlight empirical comparisons between JavaScript and TypeScript, frameworks for microservice migration, and systematic studies on AI engineering challenges. Bogner's work often bridges academic research with industry practices through collaborations with IEEE and Springer, though no specific awards or student advisories are mentioned in the provided text.

Patrick FloranceView profile

Senior Lecturer

• Geographic Information Systems (GIS)
• Geospatial Technology
• Crisis & Humanitarian Mapping
• +7 more

Patrick Florance is the Director of Research Technology at Tufts University, where he leads Tufts Technology Services’ support for High-Performance Computing, research storage, scientific instrumentation, and data science. He is concurrently an affiliate of the Department of Urban & Environmental Policy & Planning in the School of Arts and Sciences and a senior instructor at the Fletcher School of Law and Diplomacy. Education Bachelor of Arts, University of Oregon, Eugene, United States Master of Arts, Geography – Geographic Information Science, City University of New York – Hunter College, New York, United States Research & Scholarly Interests Florance’s scholarship and service converge on the design, deployment, and governance of open-source geospatial infrastructures. His work encompasses: Global and humanitarian mapping, crisis mapping, and geospatial support for disaster response Development of the Open Geoportal (OGP) Federation — a Sloan-funded collaborative platform for sharing geospatial data across universities 3D GIS, remote sensing, UAV/drone workflows, and spatial data infrastructures for urban modeling Digital humanities, natural language processing, and data-mining approaches to historical and textual geodata Geospatial pedagogy, open-data advocacy, and capacity-building in the developing world Publications & Intellectual Trajectory Across more than two decades, Florance has authored or co-authored scholarly articles, software reviews, and special journal issues that advance both technical architectures and sociotechnical practices for geospatial information curation. His writings trace a trajectory from foundational concerns of GIS collection development in academic libraries to contemporary challenges of real-time, open, and ethical crisis mapping. Scientific Awards & Grants Alfred P. Sloan Foundation – Open Geoportal Cloud (OGP) Federation (US$ grant, 2013) University Service & Leadership Patrick chairs or serves on multiple university committees driving data-intensive research strategy: Data Analytics Steering Committee, School of Arts & Sciences Digital Humanities Steering Committee, Tufts University Data-Intensive Scholarship Center (DISC) Advisory Committee on Infrastructure and Services (ACIS) GIS Steering Committee Research Data Services Committee Labs, Teams & Infrastructure He directs the Tufts Data Lab , a campus hub for GIS, statistics, visualization, and machine-learning services, and oversees the Open Geoportal Project , a multi-institutional consortium providing federated discovery and access to geospatial data sets. His team supports thousands of researchers university-wide with high-performance compute clusters, research storage arrays, and discipline-specific scientific instrumentation.

Brian KellerView profile

Assistant Professor

• Missing Data Analysis
• Bayesian Statistics
• Statistical Computing
• +3 more

Brian Keller is an Assistant Professor in the Department of Educational, School & Counseling Psychology at the University of Missouri's College of Education & Human Development. His research focuses on statistical methodologies, particularly missing data analysis, Bayesian statistics, structural equation modeling, and multilevel modeling. He is the developer of Blimp statistical software, which supports advanced statistical computing methods. Key areas of expertise include missing data imputation techniques, Bayesian computational methods, and the application of statistical models to educational and psychological data. His work emphasizes methodological innovation, software development, and the rigorous analysis of complex datasets. Recent research trends in his articles highlight advancements in latent variable modeling, nonlinear effects, and the integration of computational tools like Blimp. His contributions address challenges in multilevel models, missing data mechanisms, and model comparison criteria such as DIC and WAIC. No specific scientific awards are listed for Brian Keller in the provided information. His professional affiliations include the College of Education & Human Development and the Blimp Statistical Software initiative. He advises students in the department but no specific advisee names are provided. Research grants and funding details are not explicitly mentioned in the text. Blimp Statistical Software is a key collaborative project, reflecting his commitment to advancing statistical methods and software solutions for researchers.

• High Performance Computing
• Multiscale and Multiphysics Simulations
• Fusion Energy Systems
• +3 more

Jacob Merson is an Assistant Professor in the Department of Mechanical, Aerospace, and Nuclear Engineering at Rensselaer Polytechnic Institute (RPI). He is affiliated with the Scientific Computation Research Center (SCOREC) and the Center for Materials, Devices, and Integrated Systems (CMDIS). His primary research focuses on High Performance Computing (HPC), with a particular emphasis on multiscale and multiphysics simulations. Key areas include fusion energy systems, plasma physics, and biomaterials modeling, leveraging machine learning and advanced computational frameworks. His work integrates cutting-edge tools like the XGC plasma simulation code and the PCMS parallel coupler, supporting digital twin development for fusion energy applications. He has contributed to open-source frameworks for fibrous materials modeling and unstructured mesh tools for energy systems. His research bridges computational methods with practical engineering challenges in fusion, biomechanics, and materials science. Notable contributions include machine learning approaches for constitutive modeling of fibrous materials and plasma turbulence studies in stellarator configurations. His articles emphasize fusion energy innovation, biomaterials mechanics, and HPC workflows. Merson collaborates extensively on multimodel simulation integration and has pioneered tools like Benesh for in situ workflow coordination. Despite his prolific research output, no specific grants or student advisees are explicitly listed in the provided materials.