Find Academic Supervisors

Erin Marie FurtakView profile

Professor

• STEM Education
• Science Education
• Formative Assessment
• +4 more

Erin Marie Furtak is a Professor of STEM Education at the University of Colorado Boulder, School of Education. She transitioned from high school teaching to academic research, focusing on formative assessment in science education and equitable classroom practices. Her work emphasizes how teachers design and use assessments to improve student engagement and learning outcomes. Education: PhD in Curriculum and Teacher Education, Stanford University (2006) MA in Education, University of Denver (2001) BA in Environmental, Population, and Organismic Biology, University of Colorado Boulder (1999) Research Interests: Formative assessment design, equity in STEM education, teacher professional development, and learning progressions. She leads the Aspire Partnership (NSF-funded) and Elevate Project , studying teacher-student interactions and equitable assessment practices. Her work bridges educational theory with classroom application, particularly for emergent bilingual learners. Selected Awards: 2011 Presidential Early Career Award for Scientists and Engineers (PECASE) German Chancellor Fellowship (Alexander von Humboldt Foundation, 2006) Teaching & Service: Courses include EDUC 4060/5060: Classroom Interactions and EDUC/MCDB 4811/5811: Teaching & Learning Biology . She serves as Associate Dean of Faculty at the School of Education and advises national initiatives like the Sandra K. Abell Institute and National Academies' Updating America’s Lab Report . Labs/Teams: Aspire Partnership, Elevate Project, and collaborations with school districts nationwide to integrate formative assessment into science curricula.

Rebecca LongView profile

Professor

• Family Business Management
• Organizational Theory
• Complexity Sciences in Management
• +4 more

Rebecca Long is a Professor of Management at Mississippi State University's College of Business, Department of Management & Information Systems. Her academic career spans over three decades with expertise in family business dynamics, organizational theory, and complexity sciences. She earned a Ph.D. in Organization Theory from Louisiana State University (1992), an MBA in Human Resource Management from the University of Southern Mississippi (1987), and a BBA in Human Resource Management from the same institution (1986). Her research focuses on family firm succession, social exchange theory, and strategic management. She explores how familial relationships influence innovation, HR practices, and ethical cohesion in family enterprises. Notable works include studies on bifurcation bias in family firms and the role of absorptive capacity in innovation outcomes. Her work bridges complexity science methodologies with traditional management research, emphasizing dynamic capabilities. Recent presentations address entrepreneurial teams in funding dynamics, family CEO impact on innovation, and social capital in family business networks. While no formal awards are listed, her extensive publication record reflects sustained academic contribution. She has advised numerous graduate students (not explicitly listed here) and contributed to research productivity studies in academia. Her research spans quantitative and qualitative methods, with notable methodological contributions in OLS assumptions and logistic regression applications. Current work continues to explore family social capital, succession planning, and ethical frameworks in family enterprises.

Camilla AudiaView profile

Assistant Professor

• Climate Change Adaptation
• Sustainable Development
• Urban Health
• +5 more

Camilla Audia is an Assistant Professor at the Department of Geography, University of Warwick. Previously, she spent seven years as a researcher at King's College London's Geography department. Her work focuses on climate change adaptation, health equity, and sustainable development through co-production of knowledge with non-academic stakeholders. She holds a PhD from SOAS (2018), which examined land tenure and resource management in Burkina Faso during climatic extremes. Her research integrates arts-based methods like photography and theater to address complex societal challenges. Current projects include the PATH initiative (2024-2027), analyzing climate adaptation perceptions among irregular migrants in London. She has collaborated with international NGOs, policy actors, and institutions including the Wellcome Trust and DFID. Teaching includes modules on Health and Sustainable Development (GD204/GD209/GD212) and Addressing Disasters for Sustainable Development (GD325). She is currently accepting two PhD students for 2025/26 entry, focusing on interdisciplinary planetary health and urban resilience themes.

Sarah L. KellerView profile

Professor

• Biophysics
• Physical Chemistry
• Chemical Biology
• +3 more

Sarah L. Keller is a Professor of Chemistry at the University of Washington, holding the Duane and Barbara LaViolette Endowed Chair. She earned her Ph.D. in Physics from Princeton University and completed postdoctoral research at UC Santa Barbara and Stanford University. Her research focuses on self-assembling soft matter systems, particularly lipid membrane biophysics and prebiotic chemistry. She investigates how lipid mixtures form complex phases and their biological implications. Education: Ph.D. in Physics, Princeton University (1995); postdoctoral training at UC Santa Barbara (Presidential Fellow) and Stanford University (NIH NRSA Fellow). Research Interests: Keller's lab explores phase behavior in lipid membranes, prebiotic vesicle formation, and membrane-driven cellular processes. They employ interdisciplinary approaches combining physics, chemistry, and bioengineering to study systems like yeast vacuoles and protocell models. Awards: Biophysical Society Avanti Award, Cottrell Scholar, NSF CAREER Award, Fellow of the American Physical Society, and recognition for mentoring and teaching excellence. Her students frequently win NSF Graduate Fellowships and international awards. Advising & Grants: Keller has mentored over 50 students/postdocs, many of whom hold academic or industry roles. Her lab emphasizes interdisciplinary collaboration, with funding from NSF, NIH, and private foundations. The Keller Lab also supports career development resources for early-career researchers. Labs/Teams: The lab is part of the UW Chemistry Department and collaborates with the UW Biophysics program. Research is conducted in the Bagley Hall laboratory, with access to advanced microscopy and simulation tools.

• Project Management
• Construction Engineering
• Sustainability in Construction
• +7 more

Dr. Michel Chaaya is a Senior Lecturer in Civil Engineering at the University of Sydney, with expertise in project management, construction engineering, and sustainability. He holds a PhD from the University of Sydney and is a Fellow of the Institution of Engineers Australia and the College of Leadership and Management. His research focuses on innovative project management methodologies, sustainable construction practices, and BIM implementation. Education: BE, ME(Res), PhD in Project Management and IT from the University of Sydney. Research Interests: Enhancing project success through risk management, modular construction, and BIM adoption. He emphasizes communication, sustainability, and community wellbeing in construction projects. Recent projects include studies on net-zero steel production, BIM in SMEs, and NCC 2022 energy requirements. Awards: ARCHIBUS Excellence Awards (2017-2013), Best Residential Development Awards (2009-2010), and Australian Postgraduate Award (1997). Teaching: Courses include Project Planning, Professional Practice in Engineering Management, and Global Project Management. He has supervised over 250 theses since 2003. Industry Roles: Director of Business Development for multiple organizations, specializing in construction, IT systems, and real estate. He advises on complex project delivery and stakeholder management.

Andy McLennanView profile

Professor

• Mathematical Economics
• Game Theory
• Algebraic Geometry
• +3 more

Andy McLennan is a Professor in the School of Economics at the University of Queensland since 2007, following roles at the University of Minnesota (1987–2005) and the University of Sydney. His research focuses on mathematical economics and game theory, with contributions to computational game theory, fixed point theory, and algebraic geometry. Notable collaborations include work with Richard McKelvey on the Gambit software package for game analysis. Education: B.A. in Mathematics from the University of Chicago (undergraduate), PhD in Economics from Princeton University (1982). Prior faculty positions included the University of Toronto and Cornell University. Research Interests: Explores intersections between pure mathematics and economics, including applications of topology (Vietoris-Begle theorem), differential geometry (Morse-Sard theorem), and computational complexity in markets. Recent work includes the 'Index +1 Principle' for equilibrium stability and fixed point index theory. Software & Tools: Co-developed Gambit , a widely used open-source toolkit for analyzing finite games. Authored technical software for solving systems of equations and 3D visualization tools for academic use. Books: Authored Advanced Fixed Point Theory for Economics (Springer, 2018), The Algebra of Coherent Algebraic Sheaves , and The Nature and Origins of Modern Mathematics . Personal: Lives in Brisbane with his partner Shino Takayama (also an economist) and their son Sean. Enjoys Japanese language, classical music, and strategic games like Go and chess.

Kevin WoodView profile

Associate Professor

• Biophysics
• Antibiotic Resistance
• Microbial Ecology
• +3 more

Kevin Wood was an Associate Professor of Physics and Biophysics at the University of Michigan. He held a dual PhD in Theoretical Physics and Physical Chemistry from the University of California-San Diego (2007), followed by postdoctoral research in Systems Biology (2008-2013) and Chemistry (2007-2008) at Harvard University. His research focused on applying theoretical physics principles to study antibiotic resistance, microbial ecology, and cancer biology. Wood's work emphasized understanding population dynamics in bacterial colonies, drug resistance evolution, and optimizing treatment strategies through mathematical modeling. Education: B.S. Chemical Physics, Centre College (2001) M.S. Biology, University of California-San Diego (2003) Ph.D. Physics and Ph.D. Physical Chemistry, University of California-San Diego (2007) Postdoctoral Fellowships: Harvard University (2007-2013) Wood's research interests included spatial evolution of drug resistance, collateral sensitivity in bacteria, and critical phenomena in cancer cell populations. His lab developed novel frameworks for predicting antibiotic efficacy and designing treatment sequences to combat resistance. Despite his untimely passing, he left a legacy of impactful contributions to biophysics and mentorship of students. Advising and Grants: Wood mentored numerous students but specific grants were not detailed. His Wood Lab was located in the Randall Laboratory and Homer A. Neal Lab at the University of Michigan.

Ronald G. LarsonView profile

Professor

• Complex Fluids
• Fluid Mechanics
• Polymer Physics
• +6 more

Ronald G. Larson serves as the George Granger Brown Professor of Chemical Engineering and A. H. White Distinguished University Professor at the University of Michigan's College of Engineering, with additional appointments in Mechanical Engineering and Macromolecular Science & Engineering. His research leadership spans multiple departments within the Chemical Engineering Division, where he directs the Larson Lab focused on fundamental and applied soft matter physics. His research program investigates complex fluids through computational and theoretical frameworks, emphasizing polymer physics, rheology, and molecular simulations. Key thrusts include polymer melt processing, biomembrane dynamics, colloidal systems, and polyelectrolyte coacervation. The group employs advanced techniques like Brownian dynamics, coarse-grained modeling, and multiscale simulation to address challenges ranging from industrial polymer processing to biomedical applications. Recent publications (2023-2025) reveal strong momentum in rheological modeling of complex fluids, with particular emphasis on self-healing materials, wax deposition in pipelines, and crystallization mechanisms. The work bridges fundamental molecular insights with industrial applications, demonstrating consistent high-impact output across polymer science, soft matter physics, and chemical engineering domains. The Larson Lab operates as a collaborative hub within the Chemical Engineering Department, leveraging computational resources to advance understanding of fluid mechanics and material properties. Current projects integrate machine learning with traditional modeling approaches, reflecting the group's commitment to methodological innovation while maintaining strong connections to experimental validation and real-world engineering problems.

• Cryptography
• Information Security
• Applied Mathematics
• +3 more

Carles Padro Laimon is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Mathematics and the School of Telecommunications Engineering. He is a leading researcher in cryptography and information security, focusing on secret sharing schemes, combinatorial structures, and cryptographic protocols. His work integrates discrete mathematics, coding theory, and algorithmic design to address security challenges in digital systems. Padro leads the MAK Research Group (Mathematics Applied to Cryptography) and the ISG-MAK Information Security Group. He has been involved in numerous competitive research projects, including initiatives on post-quantum cryptography and secure multi-user systems. His contributions span over 211 documented activities, including articles, theses, and conference participations. His research interests include the theoretical foundations of cryptography, with a focus on optimizing secret sharing schemes, analyzing matroid-based structures, and developing secure communication protocols. He has collaborated extensively with institutions like the UPC and European research networks, contributing to both academic and practical advancements in cybersecurity. Padro holds a PhD in Mathematics from UPC and has supervised doctoral theses and mentored researchers in his field. His work frequently appears in top journals like IEEE Transactions on Information Theory, Designs, Codes and Cryptography, and SIAM Journal on Discrete Mathematics.

Gheorghe PaunView profile

Researcher

• Automata and Language Theory
• Natural Computing
• DNA Computing
• +3 more

Gheorghe Paun is a Senior Researcher at the Institute of Mathematics of the Romanian Academy (1994–present) and a Visiting Researcher at the University of Sevilla (2009–present). He earned his Ph.D. in Mathematics from the University of Bucharest (1977), supervised by Solomon Marcus. His research spans Automata and Language Theory (descriptional complexity, regulated rewriting), Natural Computing (DNA computing, membrane computing), and he is the initiator of membrane computing . Education : M.Sc. in Mathematics (1974), University of Bucharest (specialization: computer science) Ph.D. in Mathematics (1977), University of Bucharest His work includes foundational contributions to DNA computing (book DNA Computing. New Computing Paradigms , 1998) and membrane computing (book Membrane Computing. An Introduction , 2002). He has collaborated with over 100 researchers globally and advised multiple Ph.D. students, including Victor Mitrana and Gianina Georgescu. His scientific awards include the Gheorghe Lazar award (1981), Corresponding Member of the Romanian Academy (1997), Doctor Honoris Causa from Silesian University of Opava (2007), and recognition as an ISI Highly Cited Scientist (2007). He also holds honorary citizenships in Curtea de Arges (1998), Arges County (2007), and Cicanesti village (2009). Paun has served on editorial boards for journals like Theoretical Computer Science. Natural Computing Series and Natural Computing , and organized major workshops in membrane computing. His academic contributions include over 150 publications and editorial roles in 20+ journals.

Eric ThunView profile

Associate Professor

• Political Economy of China
• Emerging Markets Strategy
• Global Value Chains
• +5 more

Eric Thun is a Tutorial Fellow in Management at Brasenose College and the Peter Moores Associate Professor in Chinese Business Studies at the University of Oxford’s Saïd Business School. He has taught at Princeton University and joined Oxford in 2005, focusing on undergraduate management education and executive programs. Thun holds a BA from Princeton University (1990) and a PhD from Harvard University (1999). He served as a postdoctoral fellow at MIT’s Industrial Performance Center before returning to Princeton as an Assistant Professor in the Woodrow Wilson School and Department of Politics. His research interests center on China’s political economy, particularly how industrial structures and policies influence firm capabilities and competition. Thun has extensively studied China’s automotive industry, multinational corporations, and the integration of China into global production networks. More broadly, he explores strategies of indigenous and multinational firms in emerging markets and the impact of digital transformation on global value chains. Thun’s recent articles (2021–2025) highlight themes of modular ecosystems, state-market dynamics, and challenges in reshoring supply chains. Earlier works (2019–2000) emphasize innovation, policy impacts on GVCs, and sustainability in global trade. No scientific awards are explicitly listed. While he teaches and advises across multiple programs, no formal advisees or grants are detailed in the provided texts. His affiliations include Brasenose College and Saïd Business School, with no lab or team affiliations mentioned.

• Robotics
• Computer Vision
• Sensor Systems
• +3 more

Dr. Olga Vysotska is a Researcher affiliated with the Professorship for Robotic Systems at ETH Zurich's Department of Mechanical and Process Engineering. Her work focuses on advancing robotic systems through research in sensor-based navigation, SLAM (Simultaneous Localization and Mapping), and autonomous systems. She holds a doctoral degree and is based in Zurich, Switzerland. Her email is olga.vysotska@inf.ethz.ch. Research Interests: Olga's research spans robotics, computer vision, and autonomous navigation. She specializes in LiDAR-based place recognition, SLAM algorithms, and cross-modal localization using 3D scene graphs. Her work addresses challenges such as environmental changes, sensor fusion, and data association in dynamic environments like agriculture and underground exploration. Key themes include robust localization, loop closure detection, and adaptive algorithms for real-world robotic applications. Publications Overview: Olga's recent work emphasizes diffusion-based LiDAR place recognition (2025), 4D spatial-temporal mapping for agricultural robots (2023), and SceneGraphLoc for cross-modal localization (2024). Her research trends highlight innovation in sensor integration, algorithmic robustness, and practical applications in challenging environments. Earlier contributions include exploration of catacombs with mobile robots (2013) and SLAM enhancements using public map data (2017). Grants & Advising: While specific grants or student advisement details are not listed, her active publication record suggests involvement in funded research projects. Her work often collaborates with industry and academic partners to advance robotic autonomy in complex scenarios. Labs/Teams: As part of the Robotic Systems Professorship, she likely contributes to ETH Zurich's robotics labs focused on SLAM, sensor systems, and autonomous navigation. Her projects may intersect with the Department's broader initiatives in mechanical and process engineering.

Yuanzhu ChenView profile

Professor

• Computer Networking
• Mobile Computing
• Complex Networks
• +5 more

Yuanzhu Chen is a Professor in the School of Computing at Queen’s University, affiliated with the Faculty of Arts and Science. He previously served as Professor and Department Head at Memorial University of Newfoundland (2005–2021). His research focuses on computer networking, mobile computing, complex networks, and applied machine learning, emphasizing wireless innovation beyond traditional wired systems. He holds a PhD from Simon Fraser University (2004) and a B.Sc. from Peking University (1999). Education: PhD in Computing Science (Simon Fraser University, 2004); B.Sc. in Computer Science (Peking University, 1999). Earlier roles include Post-doctoral Researcher at Simon Fraser University (2004–2005) and leadership positions at Memorial University, including Department Head (2019–2021). Research Interests: Network Coding and Opportunistic Routing Mobile and Wireless Network Protocols Complex Network Analysis Machine Learning Applications Indoor Positioning Systems Social Network Dynamics Selected Awards: Recipient of Queen’s University President's Award for Distinguished Teaching. Lab Affiliation: Director of the Wireless Networking and Mobile Computing Lab (WineMocol). Active in collaborative projects involving smartphone sensors, community-based environmental monitoring, and stock market prediction using web data.

Baoyu ZhouView profile

Assistant Professor

• Large-scale Continuous Optimization
• Constrained Stochastic Optimization
• Nonsmooth Optimization
• +3 more

Baoyu Zhou is an Assistant Professor of Industrial Engineering at Arizona State University (ASU), School of Computing and Augmented Intelligence. He holds a PhD in Industrial and Systems Engineering from Lehigh University (2018–2022), an M.S. in Industrial Engineering from Lehigh University (2016–2018), and a B.E. in Mechanical Engineering from Shanghai Jiao Tong University (2012–2016). His research focuses on developing efficient algorithms for large-scale, stochastic, and constrained optimization problems, with contributions to sequential quadratic programming, nonsmooth optimization, and derivative-free methods. Before joining ASU, Zhou was a postdoctoral researcher at the University of Michigan (Department of Industrial and Operations Engineering) and the University of Chicago (Booth School of Business). He has received the Van Hoesen Family Best Publication Award and the Elizabeth V. Stout Dissertation Award. His work bridges optimization theory and practical applications, emphasizing scalability and robustness in complex systems. Zhou teaches courses such as IEE 470: Stochastic Operations Research at ASU and has guest-lectured at the University of Michigan. He actively contributes to the academic community through organizing conference sessions, reviewing for top journals, and participating in workshops at NeurIPS and SIAM. His group currently advises three PhD students focusing on optimization algorithms and their applications. Key research areas include large-scale continuous optimization, constrained stochastic optimization, and derivative-free methods. His publications span journals like SIAM Journal on Optimization and INFORMS Journal on Optimization, addressing challenges in nonlinear systems, variance reduction, and algorithmic convergence.

Christiane BarzView profile

Professor

• Operations Research
• Revenue Management
• Stochastic Dynamic Optimization
• +3 more

Christiane Barz is a Professor of Mathematics at the University of Zurich's Institute for Business Administration since 2016. Previously, she held academic roles at the UCLA Anderson School of Management, the Chicago Booth School of Business, and the Technical University (TU) Berlin. Her research focuses on stochastic dynamic systems, Markov decision processes, and their applications in revenue management. She emphasizes making mathematical tools accessible and practical for real-world problem-solving, particularly in optimizing decision-making under uncertainty. Education includes a degree in industrial engineering and a doctorate from the University of Karlsruhe (TH), Germany. Her career path includes postdoctoral research at the University of Chicago's Booth School of Business and roles as an Assistant Professor at UCLA. She combines academic excellence with balancing family life, advocating for gender equity in STEM fields. Her research explores risk-sensitive decision-making frameworks, dynamic pricing models for transportation and healthcare, and optimizing resource allocation in complex systems. Recent work includes applications in FlixBus, air cargo networks, and improving patient admission scheduling in hospitals. Barz's teaching philosophy prioritizes demystifying mathematics for students, encouraging critical engagement rather than fear of complexity. She collaborates with industry partners to apply operations research methods to real-world challenges, emphasizing both theoretical rigor and practical relevance.