جست‌وجوی استاد و پژوهشگر

Brian McInnisمشاهده پروفایل

استادیار

• Social Informatics
• Civic Engagement Technology
• Digital Health Ethics
• +۳ مورد دیگر

Brian McInnis is an Assistant Professor of Social Informatics at the University of Texas at Austin's School of Information. His research focuses on designing socio-technical systems to enhance civic problem-solving through informed discussion, combining methods like system design, policy analysis, and participatory approaches. Prior to UT Austin, he held postdoctoral positions at UC San Diego's Research Center for Optimal Digital Ethics (ReCODE) and the Design Lab. He earned a PhD in Information Science from Cornell University, an MPP from Vanderbilt University, and a BA in Economics and History from UC Davis. Education : PhD in Information Science, Cornell University (2019) Masters of Public Policy, Vanderbilt University (2008) BA in Economics & History, UC Davis (2006) Research Interests : Brian investigates how computing systems can facilitate collaborative civic engagement, particularly in digital health ethics, informed consent processes, and public policy deliberation. His work emphasizes human-centered design and participatory methods to address challenges like data privacy and algorithmic transparency. Articles Overview : His recent work explores ethical frameworks for digital health research, including informed consent innovations and data management visualization. Earlier studies examined online news moderation practices and civic design competitions. Collectively, his research bridges technology, policy, and human behavior to foster more equitable and transparent systems. Awards : 2021 CSCW Impact Recognition 2017 Cornell Teaching Award 2016 Data Science for Social Good Fellowship Advising & Grants : Brian collaborates on NSF and NIH-funded projects, including studies on ethical research design in health technologies. He has advised over 20 research projects and mentors students in HCI and public policy intersections. Labs & Teams : Affiliated with the UC San Diego Design Lab and the ReCODE Center, focusing on optimal digital ethics. At UT Austin, he leads initiatives in civic tech innovation and participatory design.

• STEM Integration
• Engineering Education
• K-12 Mathematics and Science Education
• +۴ مورد دیگر

Tamara Moore is a Professor of Engineering Education at Purdue University, holding the title of Purdue University Faculty Scholar . She is affiliated with the School of Engineering Education , part of Purdue's College of Engineering. Her research focuses on integrating engineering principles into K-12 and higher education curricula to enhance STEM learning through computational thinking, systems thinking, and interdisciplinary approaches. Education: Ph.D., Engineering Education, Purdue University M.S.Ed., Mathematics Education, Purdue University B.S.E., Interdisciplinary Engineering, Purdue University B.S., Mathematics with minor in Mathematics Education, Purdue University Research Interests: Dr. Moore investigates how engineering methodologies (e.g., design thinking, systems analysis) can be used to improve mathematics and science education at all levels. She develops curricula and professional development programs for teachers, emphasizing STEM integration through projects like the STEM Road Map and Engineering Design-Based Curricula . Her work explores computational thinking in early childhood, microelectronics education, and the use of evidence-based reasoning in student projects. Key Contributions: Authored the STEM Road Map framework for K-12 integrated education Developed curricula like Turn the Lights On! and Mineral Mayhem Conducted studies on microelectronics awareness and systems thinking in synthetic biology Advocated for inclusive computational thinking education in early childhood Awards: Purdue University Faculty Scholar (current) Lab & Teams: Her research is conducted from the WANG 3514 Lab , focusing on teacher professional development, student learning trajectories, and curriculum design. Collaborates with interdisciplinary teams on NSF-funded projects like EngrTEAMS: Engineering to Transform the Education of Analysis, Measurement, and Science .

Maria A. Croyleمشاهده پروفایل

استاد

• Gene Therapy
• Viral Vectors
• Drug Delivery
• +۵ مورد دیگر

Maria A. Croyle is Professor of Pharmaceutics and Glaxo Wellcome Endowed Professor at The University of Texas at Austin College of Pharmacy, leading the Croyle Lab focused on viral vector development for gene therapy and vaccines. She maintains adjunct affiliation with the Institute for Cellular and Molecular Biology and collaborates with MD Anderson Cancer Center’s W. M. Keck Center. Her educational background includes: Bachelor of Science in Pharmacy, University of Pittsburgh (1992) Formulation Scientist, Merck Research Laboratories Graduate Training in Pharmaceutics, University of Michigan National Research Service Award (NIH) for Gene Therapy Training, University of Pennsylvania (1997) Dr. Croyle’s research integrates virology, immunology, and pharmaceutics to overcome clinical barriers in viral vector applications. Her lab pioneers methods to reduce immune responses against adenoviruses/AAV/lentiviruses, enhance vector stability during processing, and develop single-dose vaccines—including pre-clinical Ebola vaccine work featured in National Geographic’s Breakthrough series. Current projects address viral vector impacts on hepatic/renal drug metabolism and novel lyophilization techniques for thermostable formulations. Her scientific recognition includes: National Research Service Award (NIH, 1997) College of Pharmacy’s Excellence in Teaching award (2014) Dr. Croyle has mentored 100+ students across pharmacy and basic science programs, emphasizing hypothesis-driven problem solving in virology and drug delivery. Her lab’s 50+ publications support collaborations with 14+ biotech firms, and she serves on NIH, Academy of Finland, and USP expert panels. She teaches ‘Physical and Chemical Principles of Drug Action’ using real-world scenarios and leads team-based graduate instruction in ‘Pharmaceutical Biotechnology’. The Croyle Lab operates within UT Austin’s Pharmacy Building (PHR 4.214D), maintaining active partnerships with the Institute for Cellular and Molecular Biology and MD Anderson Cancer Center. The lab is recognized for rigorous interdisciplinary training in viral vector characterization, vaccine formulation, and translational pharmaceutics.

Marcelo Worsleyمشاهده پروفایل

دانشیار

• STEM Education
• Multimodal Learning Analytics
• Hands-on Learning
• +۳ مورد دیگر

Marcelo Worsley is the Karr Family Associate Professor in Computer Science and Learning Sciences at Northwestern University's School of Education and Social Policy (SESP). His research focuses on promoting STEM education for underserved populations through hands-on, project-based learning. He holds a PhD and MS in Learning Sciences and Computer Science from Stanford University, along with dual bachelor's degrees in Chemical Engineering and Portuguese. His work emphasizes inclusive learning technologies, multimodal learning analytics, and fostering agency in students to address real-world challenges. Research Interests: Worsley’s research spans four core areas: (1) designing meaningful hands-on learning experiences; (2) extracting and analyzing multimodal data; (3) developing naturalistic interfaces for education; and (4) bridging engineering education with conceptual change. His Technological Innovations for Inclusive Learning and Teaching (tiilt) Lab aims to address inequities in education by co-designing tools with teachers and learners. Grants & Projects: Worsley has led initiatives such as Multimodal Learning Analytics (funded by NSF EAGER) and PE++ , integrating computer science with physical education. His projects often involve intergenerational making, refugee youth engagement, and culturally responsive computing. Publications: His work appears in journals like Journal of Learning Analytics and conferences such as ICLS and EDM. Recent themes include AI in education, embodied learning in games like Minecraft, and leveraging sports for computational thinking.

Jennifer Mitzenمشاهده پروفایل

استاد

• International Relations Theory
• Ontological Security
• Global Governance
• +۵ مورد دیگر

Jennifer Mitzen is a Professor of Political Science at The Ohio State University, specializing in international relations (IR) theory, ontological security, global governance, and international history. She holds a Ph.D. from the University of Chicago and has authored influential works like Power in Concert: The Nineteenth Century Origins of Global Governance . Her research explores how states navigate shared global challenges through diplomacy and ontological security frameworks, focusing on identity, anxiety, and emotional drivers in policy. Current projects address 'unthinkability' mechanisms in post-WWII contexts, examining claims that certain violent acts (e.g., nuclear war) are rendered unthinkable through collective discourse. Mitzen’s academic leadership includes co-chairing the APSA International Relations Theory Section, co-editing Ontological (In)Security in the European Union , and serving on editorial boards for journals like Security Studies and International Theory . She has held a visiting professorship at Lund University (2021–2022) and received teaching and mentorship awards at OSU. Her pedagogical work emphasizes critical security studies, global governance, and scholarly writing. Research interests span ontological security’s role in foreign policy, EU security dynamics, and the interplay between emotion and state behavior. Notable contributions include analyzing how states mitigate existential anxieties through identity work and diplomatic practices. Recent scholarship interrogates how societal taboos shape geopolitical realities, offering fresh perspectives on conflict prevention and global governance efficacy. Mitzen’s work bridges theoretical innovation with practical implications, addressing both explanatory and normative questions in IR. She actively collaborates through international networks, including the International Relations Theory Colloquium, and mentors students on topics ranging from IR theory foundations to contemporary global challenges.

Sergei Chmutovمشاهده پروفایل

استاد

• Algebraic Geometry
• Knot Theory
• Graph Theory
• +۵ مورد دیگر

Sergei Chmutov is a Professor of Mathematics at The Ohio State University, holding positions at both the Mansfield Campus and the Columbus Campus. He earned his PhD from Moscow State University in 1985. His primary research interests include Algebraic Geometry, Knot Theory, Graph Theory, and Topology, with a focus on Vassiliev invariants, low-dimensional topology, and combinatorial methods in algebraic geometry. Chmutov has taught a wide range of courses, including Partial Differential Equations, Abstract Algebra II, Linear Algebra, and Honors Differential Geometry. He has led working groups on Knots and Graphs for over a decade, fostering collaborative research among students and colleagues. His publications span foundational work in knot theory, topology, and algebraic geometry, including a book on Vassiliev knot invariants and numerous preprints exploring topics like virtual links, ribbon graphs, and topological diagrams. His research frequently bridges algebraic and geometric approaches to solving problems in these fields. Chmutov actively participates in academic seminars, including an online knot theory seminar series led by Roger Fenn and Louis Kauffman, where he presented on Thompson's group links and other advanced topics.

Hari Sundarمشاهده پروفایل

دانشیار

• Parallel Algorithms
• High Performance Computing
• Computational Sciences
• +۳ مورد دیگر

Hari Sundar is an Associate Professor in the Department of Computer Science at Tufts University, holding the Ada Lovelace Associate Professorship. Previously, he served as an Associate Professor at the Kahlert School of Computing, University of Utah. His research focuses on developing parallel algorithms for computational sciences and high-performance computing, addressing challenges in biosciences, geophysics, computational fluid dynamics, and computational relativity. He leads efforts in adaptive mesh refinement, geometric multigrid methods, and scalable scientific computing frameworks like Dendro-GR for numerical relativity. Education: Ph.D. in Computer Science from the University of Pennsylvania (2009), and a Bachelor of Engineering from the University of Delhi (2000). Postdoctoral work at the Oden Institute, University of Texas at Austin. Research Interests: Parallel algorithms, high-performance computing architectures, computational relativity (binary black hole simulations), multiphase flow modeling, and domain-specific languages for scientific computing. His work emphasizes scalability and efficiency on modern supercomputers. Key Contributions: Development of the Dendro-GR platform for gravitational wave simulations, scalable PDE solvers, and GPU-optimized algorithms for phonon transport and genomic sequence alignment. His recent work includes advancements in gravitational waveform modeling for LISA space missions and thermodynamically consistent two-phase flow simulations. Grants & Collaborations: Active in NSF-funded projects on computational relativity, multiphase flow algorithms, and scalable PDE solvers. Collaborates across disciplines in astrophysics, materials science, and bioinformatics.

Florian Buettnerمشاهده پروفایل

استاد

• Bioinformatics
• Machine Learning
• Multi-omics Data Integration
• +۲ مورد دیگر

Florian Buettner is Professor for Bioinformatics in Oncology at Goethe University Frankfurt, with affiliations at the German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ). His research integrates multi-omics data with machine learning for cancer research. Research focuses on: Multi-omics bioinformatics AI for precision oncology Probabilistic modeling Single-cell analysis Uncertainty quantification Buettner received an ERC Consolidator Grant to develop trustworthy AI models for cancer diagnosis. His methodological innovations include techniques for single-cell RNA sequencing analysis and model calibration.

Shobana Nair Partingtonمشاهده پروفایل

دانشیار

• Hospitality Management
• Tourism Management
• Events Management
• +۵ مورد دیگر

Dr. Shobana Nair Partington serves as Head of the Department for Operations, Technology, Events, and Hospitality Management at Manchester Metropolitan University's triple-accredited Business School, leading a team of 60 academic staff serving over 2,000 students. With over 20 years of academic leadership experience, she also holds strategic university roles as Academic Co-Chair for the Race Equality Charter and Academic Co-Director for Accreditation. Her international teaching engagements span Switzerland, Bulgaria, and Malaysia, reflecting her global perspective on business education. Her educational foundation includes a Master's degree in Economics from the University of Leeds, funded by a Foreign and Commonwealth Office scholarship, and doctoral research at Manchester Metropolitan University supported by the Low Pay Commission. These qualifications underpin her evidence-based approach to labor market analysis. Shobana's research centers on systemic inequalities in hospitality employment, with particular focus on pay practices, working conditions, and minimum wage impacts. Her work bridges economic theory and practical industry applications, examining how structural factors shape employee experiences in service sectors. She integrates psychological safety frameworks with innovation studies to develop actionable insights for organizational change. Analysis of her publication trajectory reveals persistent themes in hospitality labor economics, with evolving emphasis from foundational minimum wage studies toward contemporary investigations of psychological safety and innovation. Her research consistently connects policy implications with operational realities in hotels, cruise ships, and tourism enterprises. Her scholarly contributions have been recognized through: Senior Fellowship of the Higher Education Academy Fellowship of the Institute of Professional Development As an academic supervisor, she has guided six PhD candidates to completion on topics ranging from hotel information systems to tourist transport experiences. Her department drives innovation through the Digital & Technology Solutions degree apprenticeship and applied research initiatives that help businesses adapt to technological disruption. She actively serves on the Chartered Association of Business Schools' Learning, Teaching and Student Experience Committee and as a Senator for the Institute of Professional Development. The department operates as a dynamic hub for industry-engaged scholarship, with faculty from diverse nationalities developing curricula that integrate digital fluency, data analytics, and creative problem-solving. Their research directly informs sector practices while addressing critical challenges like student award gaps and workplace inclusion through the Race Equality Charter framework.

Esra Agca Aktuncمشاهده پروفایل

مدرس ارشد

• Optimization
• Simulation
• Data Analytics
• +۵ مورد دیگر

Esra Agca Aktunc serves as a Senior Lecturer in the Department of Industrial and Systems Engineering at Rensselaer Polytechnic Institute (RPI), teaching core courses including Introduction to ISE, Production and Operations Management, Facilities Design, Operations Research Methods, and Engineering Data Analytics across undergraduate and graduate programs. Her educational qualifications include: Ph.D. in Industrial and Systems Engineering from Virginia Polytechnic Institute and State University (2013) M.Sc. in Industrial and Systems Engineering from Virginia Polytechnic Institute and State University (2011) B.Sc. in Industrial Engineering from Bilkent University (2008) Dr. Agca Aktunc's research integrates optimization, simulation, and data analytics across disaster management, healthcare systems, and energy systems . Her work addresses critical challenges including hospital evacuation logistics, pandemic impacts on energy infrastructure, and natural gas management under uncertainty, employing advanced analytical methods to solve resource-constrained real-world problems in dynamic environments. Publication analysis reveals a strategic research evolution: early work (2013-2019) focused on disaster response logistics and healthcare operations, while recent publications (2020-2025) demonstrate increased specialization in energy systems, particularly electricity and natural gas demand forecasting during crises like the COVID-19 pandemic. This progression highlights her adaptive application of operations research to emerging societal challenges. No scientific awards were mentioned in the provided text. Information regarding student advising and research grants was not included in the available materials, though her extensive teaching portfolio indicates significant educational contributions.

John Kouniosمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Insight and Creativity
• Problem Solving
• +۱ مورد دیگر

Dr. John Kounios is Professor of Psychology at Drexel University and author of the bestselling book The Eureka Factor: Aha Moments, Creative Insight, and the Brain . A Fellow of the Association for Psychological Science and Psychonomic Society, he researches the cognitive neuroscience of insight, creativity, and problem solving. Research Focus: Kounios investigates neural predictors of insight solutions, cognitive differences between analytic and insight problem solving, and reward mechanisms in creative breakthroughs. His work identifies pre-problem neural activity patterns that predict solution approaches. Key Discoveries: Demonstrated that insight solutions are more likely correct than analytic solutions; identified neural precursors to 'aha' moments; revealed reward system activation during insight; showed positive mood facilitates insight while negative mood promotes analytical thinking. Publications: Recent work examines EEG predictors of problem-solving outcomes, flow states in creativity, individual differences in insight phenomenology, and brain-age estimation methods. Research featured in BBC documentaries, The New York Times, and Chicago's Museum of Science and Industry.

• Algebra
• Cryptology
• Computational Mathematics

Alexander Taam is a Teaching Assistant Professor in the Department of Mathematical Sciences at Stevens Institute of Technology's Charles V. Schaefer, Jr. School of Engineering and Science. His institutional service includes roles as Assistant Director of the Algebra and Cryptology Center and membership in multiple committees including Mathematical Sciences Undergraduate Curriculum Committee and Faculty Senate. Research specializes in computational algebra and group theory, particularly equation solving in hyperbolic groups and computational complexity problems. Maintains professional memberships with AMS and MAA. Publications focus on algorithmic aspects of group theory and computational complexity, with recent work on NP-completeness of quadratic equations in hyperbolic groups (2017) and canonical Hom-diagrams (2019). No documented scientific awards or PhD advisees.

Lei Fanمشاهده پروفایل

استادیار

• Power System Operations
• Quantum Computing
• Optimization Algorithms
• +۳ مورد دیگر

Dr. Lei Fan is an Assistant Professor in the Department of Engineering Technology at the University of Houston, with a joint appointment in the Electrical and Computer Engineering (ECE) Department. His research focuses on power system operations, optimization algorithms, quantum computing, and energy storage systems. He holds a Ph.D. from the University of Florida and a B.S. from Hefei University of Technology. Education: Ph.D., University of Florida B.S., Hefei University of Technology Research Interests: Dr. Fan’s work bridges theoretical optimization and practical energy systems, including quantum algorithms for power grid management, battery storage planning, and distributed quantum computing architectures. His LORE (Learning & Operations Research & Energy) lab explores cutting-edge applications in teleoperation, satellite networks, and environmental monitoring. Publications: Recent work emphasizes quantum computing’s role in solving complex optimization problems, such as entanglement routing in satellite networks and distributed hydrogen-power systems. His research also integrates machine learning for methane plume detection and hyperspectral imaging. Labs/Teams: He leads the LORE lab, advancing interdisciplinary research in energy systems and quantum technologies.

Muhammad Azmatمشاهده پروفایل

مدرس

• Logistics 4.0
• Innovation in Mobility
• Autonomous and Connected Vehicles
• +۴ مورد دیگر

Dr. Muhammad Azmat is a Lecturer and researcher at Aston University's School of Engineering and Applied Science, specializing in Engineering Systems & Supply Chain Management. He holds a PhD from Vienna University of Economics and Business, an MBA from Iqra University, and completed leadership programs at Oxford. His research focuses on disruptive technologies like autonomous vehicles, IoT, and their applications in supply chains and mobility. He has collaborated with organizations such as the Federal Procurement Agency of Austria and the Kühne Foundation, addressing challenges in logistics, urban mobility, and humanitarian aid. Education: PhD in Transport, Logistics & Supply Chain Management (Vienna University of Economics and Business, 2019) MSc in Supply Chain Management (Vienna University of Economics and Business, 2015) MBA in Supply Chain Management (Iqra University, 2013) Research Interests: Dr. Azmat explores innovation in mobility (autonomous/connected vehicles, shared platforms), logistics 4.0, and humanitarian supply chains. He examines how technologies like IoT and big data can enhance efficiency while addressing ethical and operational challenges. Recent work includes drone applications for disaster relief and blockchain for supply chain transparency. Publications Trends: His work spans urban logistics optimization, technological adoption barriers in SMEs, and cross-border humanitarian coordination. A common theme is leveraging emerging tech to solve real-world logistical and infrastructural problems. Awards: Best paper in Health and Environment (2019) PhD Distinction Award (2019) PhD Supervision & Collaboration: Actively supervises PhD candidates in mobility innovation and supply chain resilience. Leads industry-academia projects with highway authorities and tech firms, focusing on pilot testing autonomous vehicle infrastructure and IoT-based logistics solutions. Labs/Teams: Collaborates with Aston's Logistics Research Group and external networks like the Kühne Foundation to advance sustainable logistics systems and smart mobility frameworks.

Seth Polsleyمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Intelligent Systems
• Educational Technology
• +۴ مورد دیگر

Seth Polsley is an Assistant Professor in the Jeffrey S. Raikes School of Computer Science and Management at the University of Nebraska-Lincoln. His academic home resides in the School of Computing, where he bridges intelligent systems design with human-computer interaction to enhance educational and universal computing experiences. BS in Computer Engineering (2014) - University of Kansas MS (2017) & PhD (2023) in Computer Engineering - Texas A&M University His research explores: Intelligent tutoring systems Brain-computer interfaces Accessible educational technologies Machine learning for child development assessment Sketch recognition in STEM learning Recent publications demonstrate expertise in tactile learning interfaces, sketch-based developmental assessment, and equitable AI systems. Key disciplines span Human-Computer Interaction, Machine Learning, and Educational Technology. Scientific recognition includes: James Blackiston Memorial Graduate Fellowship Sigma Xi Research Award With professional experience at Lexmark International and MIT Lincoln Lab, Polsley combines practical engineering with educational innovation. His work on sketch-based tools and wearable systems addresses both technical and societal challenges in computing.