Find Academic Supervisors

• Digital Marketing
• Social Media/Influencer Marketing
• Omnichannel/Multichannel Retailing
• +10 more

Jeeyeon Kim is a Lecturer in the Department of Management and Marketing at La Trobe Business School, La Trobe University. Prior to this, she served as an Assistant Professor at National Sun Yat-sen University in Taiwan. Her research focuses on digital marketing, omnichannel retailing, social media/influencer marketing, and digital healthcare. She holds a PhD and MA from Yonsei University, South Korea, and has held visiting roles at Yonsei University and IE University. Her work emphasizes empirical data analysis and statistical modeling to address marketing challenges. Jeeyeon has secured multiple research grants, including AUD 82,500 from Taiwan's Ministry of Science and Technology (MOST) for projects on big data-driven marketing and digital transformation. She also coordinates grants with Yonsei University and AACSB initiatives. Her editorial roles include serving on the Asia Marketing Journal and Korean Scholars of Marketing Science boards. Her research spans topics such as virtual influencers' impact on social media, omnichannel strategies, and healthcare consumer behavior. Teaching awards include the 'Outstanding Course Teaching Award' and 'Excellent Mentor Award.' She actively reviews for journals like the Asian Pacific Journal of Marketing and Logistics and conferences like the Global Fashion Management Conference.

Norma Claire MoruzziView profile

Associate Professor

• Political Theory
• Feminist Theory
• Politics of Social Identity
• +2 more

Norma Claire Moruzzi is an Associate Professor in Political Science and Gender and Women’s Studies at the University of Illinois at Chicago (UIC). She also serves as Director of the International Studies Program and Co-Chair of the Middle East and Muslim Societies Cluster at UIC. Her research focuses on the intersection of gender, religion, and nationalism, with particular emphasis on Iran and the Middle East. She employs political theory, feminist theory, archival research, and ethnographic methods in her work. Education: PhD in Political Science from Johns Hopkins University (1990). She conducted extensive fieldwork in Iran from 1998-2008, collaborating with women’s groups and contributing to local journals. Her forthcoming book Tied Up in Tehran: Women, Social Change, and the Politics of Daily Life in Postrevolutionary Iran (Cambridge University Press, 2025) examines transformations in Iranian women’s lives since 1979. Research Grants and Fellowships include: UIC Great Cities Faculty Scholar Fellowship (2009-2010), UIC Humanities Institute Fellowship (2005-2006), and a NEH community grant (2013-2014) for public programming on Muslim cultures. Her work has been recognized with the 2002 Gradiva Award for her book Speaking through the Mask: Hannah Arendt and the Politics of Social Identity . Professional Roles: Associate Editor of Iranian Studies , former chair and editorial committee member of Middle East Report . Active in interdisciplinary collaborations, affiliated with UIC’s History and Art History departments. Her scholarship bridges theory and practice, addressing topics like feminist cinema, revolutionary movements, and the politicization of daily life.

Sunil MittalView profile

Assistant Professor

• Quantum Photonics
• Topological Photonics
• Nonlinear Photonics
• +3 more

Sunil Mittal is an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University, specializing in quantum and topological photonics. He joined Northeastern in 2021 and holds a PhD from the University of Maryland, College Park, alongside master’s degrees in Physics and Optoelectronics. His research focuses on quantum photonics, topological photonics, nonlinear photonics, and two-dimensional materials, with notable contributions to topological frequency combs and photonic quadrupole phases. Education: PhD in Electrical Engineering (University of Maryland, 2014), MS in Physics and Optoelectronics, and industry experience in optical telecommunications. Research highlights include pioneering work on topological sources of quantum light and non-Hermitian photonics systems. Recipient of 2024 and 2022 Stanford University citations (top 2% most-cited scientists) Lead co-PI on a $1.5M NSF DMREF grant (2024) for photonic materials development Recipient of Northeastern’s FY24 TIER 1 Interdisciplinary Research Seed Grant His Quantum Photonics Lab explores topological photonics applications in quantum computing and optical communication. Recent projects include using deep learning to accelerate photonic material design and studying excitonic Mott insulators in 2D heterostructures.

Perla SousiView profile

Professor

• Probability Theory
• Stochastic Processes
• Random Walks
• +4 more

Perla Sousi is a Professor of Probability at the University of Cambridge's Statistics Laboratory, part of the Department of Pure Mathematics and Mathematical Statistics (DPMMS). She is also a Fellow of Emmanuel College. Her research focuses on Probability Theory, Stochastic Processes, and their applications, including Random Walks, Brownian Motion, Mixing Times of Markov Chains, Percolation Theory, and Dynamical Systems. Notably, she explores phase transitions in stochastic models, cutoff phenomena in Markov chains, and the interplay between geometry and probability. Her work often involves collaboration with leading researchers in the field, addressing questions in both theoretical and applied stochastic processes. She has taught courses such as Probability IA, Percolation and Random Walks on Graphs, Advanced Probability, and Applied Probability. Her research has been published in top-tier journals like Annals of Probability , Probability Theory and Related Fields , and Communications in Mathematical Physics . Key contributions include studies on mixing times in dynamic environments, phase transitions in random walks, and capacity analysis in high-dimensional settings. Her articles highlight advancements in understanding stochastic systems' behavior, with a focus on cutting-edge topics like dynamical percolation, branching processes, and cutoff phenomena in complex networks. She actively contributes to both foundational theory and applications in stochastic modeling.

Lionel LevineView profile

Professor

• Applied Mathematics
• Combinatorics and Discrete Geometry
• Probability and Statistics
• +4 more

Lionel Levine is a Professor in the Department of Mathematics at Cornell University, affiliated with the College of Arts and Sciences. His academic research focuses on abelian networks, interacting particle systems, and the emergence of complex patterns from simple rules. He has held prestigious fellowships, including the Simons Fellowship and Sloan Research Fellowship, and has been honored with an endowed professorship. Levine's work bridges probability theory, combinatorics, and statistical physics, with notable contributions to the study of sandpile models and internal diffusion-limited aggregation (IDLA). Education: Ph.D. in Mathematics (2007), University of California, Berkeley. Research Interests: Applied Mathematics, Combinatorics, Probability, Abelian Networks, Sandpile Models, and their intersections with computer science and statistical physics. His research explores how local rules generate large-scale structures, such as in abelian networks and sandpile models. Awards and Honors: Simons Fellowship, Sloan Research Fellowship, Endowed Professorship in the College of Arts and Sciences. Teaching: Courses include Probability Theory (MATH 6710/6720), Topics in Probability: Math for AI Safety (MATH 7710), and undergraduate mathematics courses like Strategy, Cooperation, and Conflict (MATH 1340). Grants and Funding: Supported by the National Science Foundation (NSF), Simons Foundation, Sloan Foundation, and Institute for Advanced Study. Collaborations: Collaborates with prominent researchers such as Yuval Peres, Cris Moore, and Jim Propp. His work has been published in leading journals like the Annals of Probability and Duke Mathematical Journal. Future Work: Continues investigating AI safety, causal models, and multi-agent learning, including research on mathematical frameworks for transformer circuits and hidden incentives in AI systems.

Jose Ignacio HualdeView profile

Professor

• Phonology
• Historical Linguistics
• Sound Change
• +3 more

Jose Ignacio Hualde is a Professor at the University of Illinois, holding joint appointments in Spanish and Portuguese, Linguistics, French and Italian, the European Union Center, and the Center for Latin American and Caribbean Studies. His research focuses on synchronic and diachronic phonology, sound change, prosody, and Romance and Basque linguistics. He is affiliated with the Department of Spanish, Italian, and Portuguese and maintains an office in the Foreign Languages Building. Research Interests: Phonological structure and historical evolution Basque linguistic typology and dialectology Prosodic systems in Romance languages Phonetic-phonological interfaces Recent Research Trends: His 2023-2025 publications emphasize Basque dialect analysis, Romance allophonic processes, and prosodic salience. Works combine experimental methods with diachronic reconstruction to address core questions in phonological theory. Professional Activities: Has delivered over 30 invited lectures (e.g., 1992-1996) and served on editorial boards like Folia Linguistica. Active in international scholarly networks with collaboration evidence across multiple countries. Labs/Teams: Engaged in interdisciplinary linguistic research through the Department's language programs and affiliated centers.

Pierre FlenerView profile

Professor

• Artificial Intelligence
• Constraint Programming
• Discrete Optimization
• +5 more

Pierre Flener is a Professor at the Department of Information Technology, Division of Computing Science at Uppsala University. He leads the Optimisation Group and is a member of the Centre for Interdisciplinary Mathematics. His work focuses on constraint programming and discrete optimization, addressing complex scheduling, routing, and resource allocation challenges. Flener is an Officer of the Order of Merit of Luxembourg and co-founder of NordConsNet, the Nordic Network for Constraint Programming researchers. Research Interests: Flener’s research spans constraint programming, combinatorial optimization, and algorithm design. He develops models and tools for automated decision-making in domains like air traffic management, sensor networks, and industrial robotics. His work emphasizes practical applications, leveraging constraint satisfaction techniques to solve real-world puzzles such as vehicle routing and personnel allocation. Key Contributions: Flener has authored over 100 publications on constraint solving, symmetry breaking, and CP-based approaches to industrial problems. Notable projects include airspace sectorization optimization, energy-efficient sensor networks, and financial portfolio design. He has led initiatives like Auto-Tabling for MiniZinc and collaborated on CP applications in bioinformatics and image processing. Labs & Teams: He heads the Optimisation Group at Uppsala, fostering research in CP and its applications. NordConsNet, co-founded by Flener, connects Nordic researchers and practitioners in constraint technology.

Burkhard MaessView profile

Research Professor

• Neuroscience
• Auditory Processing
• Signal Analysis
• +3 more

Dr. Burkhard Maess is a Research Professor and Group Leader at the Max Planck Institute for Human Cognitive and Brain Sciences, leading the Methods and Development Group Brain Networks. His research focuses on auditory and language processing, signal analysis, and dynamic modeling of neuronal networks. He holds a Diploma in Physics (University of Leipzig, 1987) and a PhD in Physics (University of Leipzig, 1990). His career includes postdoctoral positions at the Academy of Sciences of the GDR and the Free University of Berlin before joining the MPI in 1995. Since 2000, he has led research groups on MEG/EEG signal analysis and cortical network dynamics. His work integrates advanced neuroimaging techniques like MEG and EEG to study sensory processing, neural network dynamics, and the effects of aging on auditory attention. Key contributions include developing high-resolution BEM-FMM methods for source localization and analyzing cross-frequency coupling in neuroscience data. His group also explores spinal cord electrophysiology and the neural underpinnings of perceptual decision-making. Dr. Maess’ research spans cognitive neuroscience, biomedical engineering, and computational modeling, with a focus on bridging empirical findings with theoretical frameworks in neuroscience.

Stephen R. PlattView profile

Professor

• Modern Chinese History
• Sino-Western Relations
• Military History
• +3 more

Stephen R. Platt is a Professor of History at the University of Massachusetts Amherst, specializing in modern Chinese history and Sino-Western relations. He holds a PhD in Chinese History from Yale University, where his dissertation won the Theron Rockwell Field Prize. His research focuses on 19th-20th century China, including the Taiping Rebellion, Opium Wars, and U.S.-China military and diplomatic interactions. Teaches courses on modern Chinese history, U.S.-China relations, and historiography. Recipient of the Cundill History Prize and Baillie Gifford Prize nominations. Active in public scholarship through New York Times op-eds, Atlantic articles, and media interviews. Research emphasizes transnational dynamics, analyzing how China's interactions with Western powers shaped its modern trajectory. His most recent work, *The Raider*, explores Marine Corps officer Evans Carlson's engagement with Chinese communist tactics during WWII. Platt's earlier works include groundbreaking studies of the Taiping Rebellion and Qing Dynasty decline. Awards highlight his contributions to both academic and popular history, blending rigorous scholarship with accessible narrative storytelling. His work has been featured in major publications globally and translated into multiple languages.

Sebastian HennView profile

Professor

• Economic Geography
• Regional Development
• Transnational Entrepreneurship
• +7 more

Sebastian Henn is a Professor of Economic Geography at the Institute of Geography, Friedrich Schiller University Jena, where he has held the Chair since 2014. He serves as Dean of Studies for the Faculty of Chemistry and Geosciences (since 2020) and Deputy Director of the Leibniz ScienceCampus "Eastern Europe - Global Area". His research spans transnational entrepreneurship, knowledge-based regional development, cluster dynamics, polarization/peripheralization, and migration studies . Education: Dipl.-Geogr. (University of Mannheim, 2001); Dr. rer. nat. (University of Halle, 2006); Habilitation (University of Halle, 2014) Key research areas include spatial perception, mobilities, health geography, and global-local interactions in sectors like pharmaceuticals, medical technology, and the diamond industry. Publications (2013-2024) focus on global production patterns, cluster evolution, regional embitterment, and the role of transnational entrepreneurs in industries from Gujarat to Antwerp. His 2023 work explores populist resentments in rural regions and health infrastructure disparities in Thuringia. Awards include the 2017 Journal of Economic Geography Best Referee Award. He co-edits the Springer series "Perspectives in Human Geography" and holds leadership roles in academic societies like the Schumpeter Centre for Social and Economic Change. Editorial and Review Activities : Active on boards of the Journal of Economic Geography and ZFW journal. Regular reviewer for 20+ journals and funding bodies including DFG and DAAD. Leads research on BRIC investments, Southern multinationals, and spatialization processes under globalization .

Nima LashkariView profile

Assistant Professor

• Quantum Field Theory
• Quantum Gravity
• Black Hole Physics
• +3 more

Nima Lashkari is an Assistant Professor of Physics and Astronomy at Purdue University, affiliated with the College of Science . His research focuses on quantum field theory (QFT), quantum gravity, black hole physics, and quantum information theory. He holds a Ph.D. in Theoretical Physics from McGill University (2012) and a B.Sc. in Physics from Sharif University of Technology (2006). Prior to Purdue, he held postdoctoral positions at MIT, the University of British Columbia, and Stanford University, and was a member of the School of Natural Sciences at the Institute for Advanced Study (2018–2019). His research explores operator algebras in quantum gravity, local S-matrix formalisms, and multipartite entanglement. Notable interests include renormalization group flows as quantum error correction, eigenstate thermalization in QFT, and holographic principles. He is a member of the It from Qubit collaboration , focusing on non-perturbative quantum field theory and gravity through quantum information lenses. Lashkari’s work has contributed to understanding gravitational dynamics via entanglement, modular theory applications in QFT, and the interplay between quantum information and spacetime geometry. His recent talks include discussions on modular intersections, time interval algebras, and gravitational energy theorems derived from information inequalities.

• Ethics of Technology
• Biotechnology in Agriculture
• Moral Responsibility under Uncertainty
• +3 more

Zoë Robaey is an Assistant Professor in Ethics of Technology at Wageningen University’s Philosophy Group. Her work focuses on moral responsibility in uncertain technological contexts, particularly in biotechnology and agriculture. She holds a PhD from Delft University of Technology (2017) and prior roles include postdoctoral research at Delft and work at the Rathenau Institute. She currently serves on the Management Team of the 4TU Centre for Ethics and Technology, is an Associate Editor at Science and Engineering Ethics , and actively advises on synthetic biology competitions like iGEM. Her research integrates conceptual ethics with empirical studies, addressing challenges like GMO ownership, inclusive biobased innovations, and biomimetic design. Awards include a VENI Grant (2019) and recognition in the 'Young Philosophers' program (2017). She engages widely in public debates on agriculture and technology through platforms like Pakhuis de Zwijger. Education: BA Biology (University of Ottawa, 2007), MA Science and Technology Studies (Maastricht University, 2008), MA Public Policy (Hertie School of Governance, 2011). Research interests span ethical governance of emerging technologies, responsible innovation frameworks, and the intersection of biotechnology with societal values. Recent work explores biomimetic ethics, climate change education, and safe-by-design approaches in synthetic biology. Grants include the VENI Grant (2019) supporting her work on virtues in innovation. She has advised the Dutch Ministry of Infrastructure and Water Management and collaborates internationally on projects like the Inclusive Biobased Innovations initiative (2017–2019). Labs/Teams: Active in the 4TU Centre for Ethics and Technology, contributing to interdisciplinary ethics research networks. Teaches courses on ethics of food systems, synthetic biology, and molecular life sciences.

Ting HuView profile

Associate Professor

• Artificial Intelligence
• Bioinformatics
• Data Mining
• +7 more

Dr. Ting Hu is an Associate Professor in the School of Computing at Queen's University, affiliated with the Faculty of Arts and Science. She leads the Machine Intelligence & Biocomputing (MIB) Laboratory, focusing on bio-inspired AI and bioinformatics. Her research bridges evolutionary computing, machine learning, and biomedical data analysis. Dr. Hu holds a PhD in Computer Science from Memorial University and completed postdoctoral training at Dartmouth College. She teaches courses with strong student evaluations, winning the Howard Staveley Teaching Award (2019-2020) and recognition as a Mental Health Champion (2023). Education: B.Sc. in Computational Mathematics, Wuhan University M.Sc. in Computer Science, Wuhan University PhD in Computer Science, Memorial University Postdoctoral Fellowship, Geisel School of Medicine, Dartmouth College Research Interests: Evolutionary algorithms and genetic programming Interpretable and explainable AI Biomedical data mining (metabolomics, genomics) Complex network analysis Applications in precision medicine and disease prediction Awards & Recognition: Queen's AMS Undergraduate Mentorship Award (2025) IEEE CIBCB Best Student Award (2022) Howard Staveley Teaching Award (2019-2020) NSERC Discovery Grant Reviewer (2019) Memorial University's Best Professor Award (2016) Lab & Collaborations: MIB Lab develops tools like geneDRAGNN (graph neural networks for gene-disease prioritization) Active roles in IEEE Computational Intelligence Society and EuroGP Advances include vaccination strategies via graph-RL and interpretable clustering methods

Theodora VarvarigouView profile

Professor

• Cloud Computing
• Multimedia Content Processing
• Social Networking Technologies
• +3 more

Theodora Varvarigou is a Professor in the Department of Electrical and Computer Engineering at the National Technical University of Athens (NTUA). She holds a B.Eng. from NTUA and M.Eng. and Ph.D. degrees from Stanford University. Her career includes research at AT&T Bell Labs and roles at the Technical University of Crete. From 2008-2012, she served as director of NTUA's 'Technoeconomic Systems' postgraduate program. Her research focuses on Cloud Computing, Multimedia Content Processing, Social Networking Technologies, and emerging areas like blockchain, edge computing, and cybersecurity. She has published over 200 papers and led numerous European research projects, emphasizing scalable systems, data management, and smart infrastructure applications. Her work spans technical innovations such as intrusion detection systems, edge resource optimization, and blockchain-based solutions for IoT, healthcare, and smart cities. Recent publications highlight advancements in AI-driven resource allocation, privacy-preserving blockchain designs, and predictive analytics for edge computing environments. Professor Varvarigou has contributed to interdisciplinary initiatives, including cohort data harmonization in biomedical research and social media analytics for urban planning. Her teaching includes courses on digital systems, network programming, and fault-tolerant systems.

Maja MatisView profile

Researcher

• Cell Biology
• Developmental Biology
• Biophysics
• +3 more

Dr. Maja Matis is a Group Leader at the University of Muenster's Center for Molecular Biology of Inflammation (ZMBE) within the Institute of Cell Biology. Her research focuses on understanding the mechanical role of microtubules in tissue morphogenesis, particularly how microtubule-generated forces contribute to tissue remodeling through coordinated cellular behaviors. She leads the Matis Lab, which employs advanced microscopy techniques and genetic approaches to study cytoskeletal mechanics in developmental contexts. Key research areas include the structural regulation of microtubules, mechanics-driven cell shape changes, and integration of forces at adherens junctions. Her interdisciplinary projects combine biophysics, developmental biology, and quantitative imaging to unravel mechanisms underlying collective cell behavior during tissue formation. Notable contributions include studies on microtubule compression dynamics in epithelial tissues and the role of PCP signaling in patterning microtubule networks. She collaborates with institutions like the Cells in Motion Cluster of Excellence and has mentored multiple PhD/MD students. Her work is published in high-impact journals such as Nat. Commun. and Nat. Cell Biol.