Find Academic Supervisors

PJ LambersonView profile

Associate Professor

• Social Networks
• Collective Intelligence
• Contagion Dynamics
• +3 more

PJ Lamberson is an Associate Professor in the Communication Department at the University of California, Los Angeles (UCLA), serving as departmental Vice Chair and Director of Graduate Studies since 2023. He holds a Ph.D. in Mathematics from Columbia University (2006) and has held prior faculty positions at MIT Sloan School of Management and the Kellogg School of Management, where he also served as Associate Director of the Northwestern Institute on Complex Systems (NICO). His research focuses on social influence, networks, and collective intelligence, with interdisciplinary applications in political science, epidemiology, and computational social science. **Education**: B.A. Mathematics (University of Chicago, 2001), M.A., M.Phil., and Ph.D. in Mathematics (Columbia University, 2003–2006). He has received funding from NIH, UCLA, and other institutions for projects like "Team Dynamics, Networks, and Assembly (Team DNA)" ($1.7M) and "Network Games with Local Correlation and Clustering" ($5K). **Research Interests**: Explores how individual interactions aggregate into collective outcomes, including social contagion, network structures, and hybrid predictive systems. Recent work addresses voter turnout dynamics, obesity prevention via agent-based models, and optimal networks for problem-solving. **Awards**: IC2S2 Best Paper Award (2021), multiple Faculty Impact Awards (2013–2014), and recognition for contributions to teaching and interdisciplinary research. **Teaching**: Offers courses like Computational Communication (PhD), Social Networking (undergraduate), and Methodologies of Communication Research. Supervised over a dozen PhD and master’s students, including Gülşah Akçakır and Seonhye Noh. **Professional Roles**: Associate Editor of *System Dynamics Review*, contributor to international conferences, and frequent speaker on topics like computational social science and network theory.

Dani S. BassettView profile

Professor

• Network Science
• Complex Systems
• Brain Connectivity
• +5 more

Dani S. Bassett is the J. Peter Skirkanich Professor at the University of Pennsylvania with primary appointment in the Department of Bioengineering (School of Engineering and Applied Science) and secondary appointments in Physics & Astronomy, Electrical & Systems Engineering, Neurology, and Psychiatry. They serve as an external professor at the Santa Fe Institute and lead a research group focused on complex systems and network science. B.S. in Physics, Penn State University (2004) Ph.D. in Physics, University of Cambridge as Churchill Scholar and NIH Health Sciences Scholar (2009) Postdoctoral position at UC Santa Barbara and Junior Research Fellow at Sage Center for the Study of the Mind Their research integrates complex systems science, statistical mechanics, and applied mathematics to study network dynamics in physical and biological systems. Key areas include brain connectivity mechanisms, cognitive processes, neurological disease modeling, granular matter physics, and collective human curiosity. Bassett employs advanced methodologies including algebraic topology, network control theory, and multilayer network analysis to investigate how network architecture influences system function across diverse domains. Recent publications reveal a strong trend toward interdisciplinary network science applications, particularly in modeling human curiosity through Wikipedia navigation patterns and analyzing brain network reconfiguration during cognitive development. Their work bridges physics, neuroscience, and behavioral science with emphasis on topological network properties and dynamical processes. American Psychological Association's Rising Star (2012) MacArthur Fellow Genius Grant (2014) Lagrange Prize in Complex Systems Science (2017) Erdos-Renyi Prize in Network Science (2018) American Physical Society Fellow (2021) Web of Science Highly Cited Researcher (3 consecutive years) Bassett's research is supported by major agencies including NSF, NIH, DoD, ONR, and private foundations (MacArthur, Sloan, Paul Allen). Their lab actively recruits students from physics, engineering, neuroscience, and computer science backgrounds, emphasizing diversity in academic perspectives. Current projects include the 'Curious Minds' initiative exploring collective knowledge building and network-based models of neurological disorders. Bassett co-authored the MIT Press book 'Curious Minds: The Power of Connection' with philosopher Perry Zurn.

Vahid YazdanpanahView profile

Assistant Professor

• Multiagent Systems
• Artificial Intelligence
• Responsibility of AI Systems
• +3 more

Vahid Yazdanpanah is an Assistant Professor (Lecturer) of Computer Science at the University of Southampton and a Visiting Lecturer at the University of Twente. He holds a PhD from the University of Twente (2019), an MSc in Artificial Intelligence from Utrecht University (2015), and an MBA from the University of Greenwich (2012). His research focuses on multiagent systems, AI responsibility, and circular economy applications. He leads the Agents, Interaction and Complexity (AIC) research group and is an RRI Champion for the UKRI CDT in AI for Sustainability (SustAI). Research interests include agent-based computing, formal logics for multiagent decision-making, and socio-technical systems. Notable awards include the Best Paper Award at PRIMA 2016 and recognition at AAMAS 2021. He teaches courses such as COMP2211 (Software Engineering) and supervises PhD students in AI and sustainability. Active projects include the ARGOS (AI Resilience Governance) and AutoTrust (Internet of Vehicles) initiatives. He has served on program committees for AAAI, IJCAI, and AAMAS, and reviews for journals like AI & Society and Annals of Operations Research. His work bridges technical AI advancements with ethical, legal, and societal challenges in responsible AI deployment.

Ghassan HamarnehView profile

Professor

• Medical Image Analysis
• Scientific computing
• Signal and image processing
• +5 more

Ghassan Hamarneh is a Professor in the School of Computing Science at Simon Fraser University (SFU). His research focuses on medical image analysis, with expertise in super-resolution microscopy, explainable AI, and biomedical computing. He teaches courses in biomedical computing and scientific computing, emphasizing practical applications like signal processing and health informatics. Education: Ph.D. in Signal and Systems (Chalmers University, 2001), M.Sc. in Digital Communications (Chalmers, 1997), B.Sc. in Electrical Engineering (Jordan University, 1995). Research Interests include developing AI-driven tools for medical imaging, analyzing cellular structures using super-resolution techniques, and addressing ethical challenges in AI deployment. His work bridges computational methods with clinical applications, such as lesion segmentation, PET image analysis, and bias mitigation in medical algorithms. Recent publications highlight advancements in network analysis of molecular structures, debiasing AI models, and improving diagnostic accuracy through deep learning. His lab contributes to open-source software like SuperResNET and MCS-DETECT for super-resolution microscopy analysis. No scientific awards explicitly listed, but his extensive publication record reflects recognition in the field. Advising and grants information is not detailed in the provided texts. Active in teaching, including CMPT 340 (Biomedical Computing) and special research projects.

Vito LatoraView profile

Professor

• Complex Systems
• Network Science
• Applied Mathematics
• +13 more

Vito Latora is a Professor of Applied Mathematics and Chair of Complex Systems at the School of Mathematical Sciences, Queen Mary University of London, and also holds the position of Professor of Theoretical Physics at the University of Catania. He leads the Complex Systems and Networks Group, driving cutting-edge research at the intersection of physics, mathematics, and interdisciplinary sciences. His research focuses on complex systems, particularly the structure and dynamics of networks, including multiplex, temporal, and higher-order networks such as simplicial complexes and hypergraphs. He explores applications in social, biological, financial, and cognitive systems, with recent work on creativity, innovation, and success through network analysis. The 15 most recent publications reveal a strong trend in advancing network theory beyond pairwise interactions, with a focus on higher-order structures, memory effects, synchronization, and epidemic spreading. His work combines rigorous mathematical modeling with real-world applications, often published in high-impact journals like Nature Communications , Physical Review Letters , and Science Advances . Dual communities in spatial and biological networks Modeling epidemics with limited detection resources Synchronization via higher-order and directed interactions AI-driven financial risk management Evolutionary games on hypergraphs Interdisciplinary success and funding dynamics Vito Latora has mentored several researchers who appear as co-authors, including Iacopini, Williams, Di Bona, and Lacasa. While specific grants are not listed, his collaborative projects with neuroscientists and anthropologists, along with frequent publications, suggest active funding. He is involved in major scientific events such as NetSci 2023, indicating leadership in the network science community. He leads the Complex Systems and Networks Group at Queen Mary, fostering a collaborative environment for studying complex systems through theoretical, computational, and data-driven approaches.

• Team Dynamics
• Organizational Behavior
• Negotiation Theory
• +3 more

Stephen Humphrey is the Alvin H. Clemens Professor of Management and Organization at the Smeal College of Business, Pennsylvania State University. His research focuses on social relations at work, with a primary emphasis on teamwork dynamics, negotiation theory, and organizational behavior. He holds a PhD in Organizational Behavior and Human Resource Management from Michigan State University and a BS in Psychology from James Madison University. Professor Humphrey's research explores two core areas: (1) the 'bottom-up' formative design of teams (including composition, role allocation, and reward structures), and (2) the 'top-down' management of existing teams (focusing on temporal dynamics, structural adaptation, and conflict resolution). His work on team microdynamics examines multilevel, multi-period, and multi-theoretical aspects of teamwork. His recent publications demonstrate strong research trends in team dynamics, organizational reputation, negotiation pedagogy, and ethical decision-making. Articles frequently employ meta-analytic approaches and focus on contextual factors influencing team performance across diverse settings. The research consistently bridges theoretical frameworks with practical organizational applications. Professor Humphrey teaches negotiation skills across undergraduate, MBA, EMBA, and executive education programs. He has developed several negotiation simulations derived from real-world scenarios and teaches doctoral seminars on organizational research design. As faculty advisor, he mentors PhD and DBA students in research methodology and academic development.

• Plant Biochemistry
• Specialized Metabolism
• Solanaceae Family
• +4 more

Cornelius Barry is an Associate Professor in the Department of Horticulture at Michigan State University, with affiliations to the Plant Breeding, Genetics and Biotechnology program, AgBioResearch, and the Molecular Plant Sciences Graduate Program. He joined MSU in July 2007 with a 75% research and 25% teaching appointment. Education: PhD and BSc from the University of Nottingham and University College of Wales Current roles: Director of NSF REU Site: Plant Genomics @ MSU His research focuses on the evolution of biochemical diversity within the Solanaceae family , particularly specialized metabolites like terpenoids, flavonoids, and alkaloids. He investigates their roles in plant defense, pollinator attraction, and human applications through genomics, metabolite profiling, and synthetic biology. Recent publications show expertise in alkaloid biosynthesis , trichome chemistry , and metabolic pathway engineering . Key collaborations include teams at Boyce Thompson Institute, Texas A&M, and University of Nottingham. He advises graduate students in Genetics , Biochemistry & Molecular Biology , and Molecular Plant Sciences programs.

Arman KhoshghalbView profile

Senior Lecturer

• Numerical Modelling
• Multi-phase Porous Media
• Unsaturated Soils
• +3 more

Dr. Arman Khoshghalb is a Senior Lecturer in Geotechnical Engineering at the School of Civil and Environmental Engineering, UNSW Sydney, where he has been a faculty member since 2012. His academic credentials include a PhD in Geotechnical Engineering from UNSW (2012), an MSc from Sharif University of Technology (2005), and a BSc in Civil Engineering from the same institution (2003). His research focuses on numerical modeling of multi-phase porous media , with emphasis on unsaturated soils, large deformation analysis, and dynamic soil behavior. Key areas include meshfree computational methods, soil-structure interaction, bio-cementation, and thermo-hydro-mechanical processes in geotechnical systems. His work bridges theoretical advancements with practical applications in slope stability, foundation engineering, and sustainable ground improvement. Dr. Khoshghalb's publications predominantly explore geomechanical modeling, experimental soil mechanics, and computational techniques. Recent trends highlight innovations in bio-cemented soils, thermal properties of unsaturated soils, and adaptive numerical methods for complex geotechnical simulations. Awards & Honors: IACMAG Excellent Paper Award (2017) UNSW Research Excellence Award (2012) Advising & Grants: He has supervised 7+ PhD students on topics ranging from weak rock mechanics to computational geomechanics. Funded projects include: ARC Discovery Project (2019–2021): "Non-isothermal dynamic strain localisation in unsaturated porous media" ($298,257) ARC Linkage Infrastructure Grant (2015): "Earthquake shaking table for soil-structure interactions" ($320,000) ARC Linkage Project (2014–2017): "Constitutive modelling of weak rocks" ($314,280) He leads research within UNSW's geotechnical engineering group, collaborating on large-scale experimental testing and computational frameworks for infrastructure resilience.

Martin SposatoView profile

Professor

• Artificial Intelligence in Education
• Educational Leadership
• Digital Transformation
• +5 more

Martin Sposato is a Professor at Zayed University whose research focuses on the intersection of artificial intelligence, educational leadership, and organizational development. His work spans multiple disciplines including education, business, and human resources management, with particular emphasis on how AI technologies transform leadership practices and institutional operations. Dr. Sposato's research interests center on Artificial Intelligence in Education, Educational Leadership, Digital Transformation, and Human Resources Management. His work explores how AI can be effectively integrated into educational leadership practices while addressing ethical considerations and equity issues. He has developed frameworks for understanding AI applications across ten distinct domains in higher education leadership, including Administrative Efficiency, Personalized Learning, and Ethical AI Leadership. His publication record demonstrates significant contributions to understanding AI implementation in educational contexts, with a focus on creating structured frameworks for evaluation and adoption. His research shows a clear trajectory toward developing practical tools for educational leaders to navigate the complex landscape of AI integration while maintaining educational integrity and addressing potential risks. Artificial intelligence in educational leadership: a comprehensive taxonomy and future directions (2025) Transforming Corporate Social Responsibility and Business Ethics With AI (2025) Leadership strategies for implementing environmental management systems (2025) Bias and its impact on hiring and promotion (2025) Artificial intelligence in modern human resources practice (2025) Dr. Sposato's work on leadership extends beyond technology to explore fundamental leadership concepts, including followership theory, global leadership dynamics, and the balance between leader-centric and more distributed leadership models. His research provides valuable insights for organizations navigating digital transformation while maintaining human-centered values and ethical practices.

• Logistics and Operations Management
• Supply Chain Resilience
• Sustainable and Circular Supply Chains
• +9 more

Professor Mohamed Naim is a distinguished academic at Cardiff Business School, Cardiff University, where he holds the position of Professor in Logistics and Operations Management. He has served in several leadership roles, including former Head of the Logistics and Operations Management Section and former Deputy Dean at the Business School. He was also the founding director of the Centre for Advanced Manufacturing Systems at Cardiff (CAMSAC). He is actively engaged in high-impact research and industrial collaboration, currently leading a Knowledge Transfer Partnership (KTP) with Tower Cold Chain Solutions Ltd. and contributing to major research programs such as ASTUTE, ASTUTE2020, and AFAIR. His research interests center on the development of business systems engineering approaches to resilient supply chains, with a focus on sustainability, circularity, and flexibility in lean and agile systems. He has made significant contributions to supply chain dynamics, particularly in engineer-to-order (ETO) sectors such as construction and shipbuilding. His recent work explores digital transformation in logistics, including 5G-enabled smart ports, building information modelling (BIM), and AI-driven decision-making. The analysis of his recent publications reveals a strong trend toward interdisciplinary research, integrating operations management with healthcare (trauma systems), digital technologies, and sustainable industrial practices. His work frequently employs system dynamics, simulation, and empirical case studies to address complex supply chain challenges. Scientific Awards: Institution of Electrical Engineers' Manufacturing Division Premium (1996) Royal Academy of Engineering Global Research Award (2003) Professor Naim is actively involved in research supervision and has contributed to two Research Excellence Framework (REF2021) impact cases on innovative procurement and financially sustainable supply chains. He is a founding member of the Logistics Systems Dynamics Group (LSDG) and has led and co-directed multiple large-scale research initiatives. His work is characterized by strong industry engagement, particularly through Knowledge Transfer Partnerships and collaborations with public sector bodies like the Welsh European Funding Office (WEFO). Research Centers and Teams: Logistics and Operations Management Section, Cardiff Business School Centre for Advanced Manufacturing Systems at Cardiff (CAMSAC) Logistics Systems Dynamics Group (LSDG) ASTUTE / ASTUTE2020 / ASTUTE East programmes AFAIR project (Expert Advisor)

Ishita Sinha RoyView profile

Professor

• Media Studies
• Nation Branding
• Global Media
• +11 more

Ishita Sinha Roy is a Professor at Allegheny College in the Department of Communication, Media, & Performance. She earned her Ph.D. in Communication from the Annenberg School for Communication at the University of Southern California and her B.A. and M.A. in English Literature from the University of Bombay. Her expertise spans media studies, nation branding, global media, integrated marketing communication, and digital media communities. Education: B.A. & M.A. in English Literature, University of Bombay M.A. & Ph.D. in Communication, Annenberg School for Communication, University of Southern California Her research focuses on postcolonial media analysis, nation branding, and the ethics of sustainable development through community-engaged learning. She has co-designed projects like the Global Citizen Scholars program, emphasizing gender equality (SDG 5) and collaborative partnerships with organizations like Women’s Services Inc. and the Green Belt Movement. Her work bridges academic theory with real-world applications, including anti-domestic abuse book projects and student-led research on topics like QAnon conspiracies and political podcasting. Scientific Awards: Student-nominated Teaching Award, Annenberg School for Communication (USC), 2000 Thoburn Award for Excellence in Teaching, Allegheny College, 2008 She mentors students in media literacy, storytelling, and ethical communication, with alumni like John Meyer and Hillary Santel engaging her classroom. Her collaborations with institutions like the Andrew W. Mellon Foundation and the National Council for Undergraduate Research highlight her commitment to interdisciplinary and experiential learning.

Michael WeyrichView profile

Professor

• Industrial Automation
• Digital Twins
• Large Language Models (LLMs)
• +7 more

Prof. Michael Weyrich is a faculty member at the Institute of Industrial Automation and Software Engineering (IAS) within the University of Stuttgart , leading the Cluster of Excellence IntCDC . His academic rank is Professor, and he focuses on Industrial Automation , Digital Twins , and Large Language Models (LLMs) for manufacturing and automotive systems. His research explores integrating LLMs into industrial automation for adaptive control, cloud offloading of vehicle functions, and semantic interoperability via Asset Administration Shells . He investigates modular production architectures , connected vehicle systems , and synthetic data generation for autonomous machinery. Recent publications highlight LLM-driven production planning , dynamic sensor calibration , and machine learning for fault detection in electric vehicle powertrains. His work emphasizes real-time data modeling and flexible microservice orchestration .

Samuel LederView profile

Researcher

• Robotics
• Architectural Design
• Computational Design
• +5 more

Samuel Leder is a doctoral researcher at the Institute of Computational Design and Construction (ICD) under the Cluster of Excellence IntCDC at the University of Stuttgart. His work focuses on the integration of robotics and architectural design, particularly in developing distributed robotic systems for timber construction. He has been actively involved in research projects such as RP 19-1 – Robotic Kinematic System for Parallel Construction and RP 19-2 – Co-Design for Distributed Cooperative Multi-Robot Systems . Additionally, he serves on the Equal Opportunity Commission at ICD. Bachelor of Design in Architecture (summa cum laude), Washington University in St. Louis Bachelor of Applied Science in Systems Science and Engineering (magna cum laude), Washington University in St. Louis MSc in Architecture via the Integrative Technologies and Architectural Design Research (ITECH) program, University of Stuttgart Samuel’s research explores the synergies between agent-based modeling , robotic systems , and architectural design . His work aims to create minimal robotic machines capable of constructing complex spatial assemblies, particularly with timber structures . He investigates the co-design of robots and the structures they build, emphasizing modular systems and kinematic behaviors . Recent publications highlight advancements in digital twins , adaptive assembly , and human-robot collaboration for timber construction. The 15 most recent articles reveal trends in collective robotic construction , agent-based modeling , and material-robot interaction . These works emphasize timber fabrication , modular systems , and interactive simulation for large-scale construction tasks. Key sub-fields include adaptive assembly , cyber-physical systems , kinematic control , and human-guided robotics . Scientific Awards: German Academic Exchange Service (DAAD) Award for Outstanding Achievement Deutschlandstipendium Samuel’s research is conducted within the ICD at University of Stuttgart , where he collaborates on the Wood Building Systems for Distributed Robotics associated project. His work bridges architecture , robotics , and computational design , aiming to redefine on-site construction methodologies through innovative robotic systems.

• Internal Medicine Nursing
• Chronic Obstructive Pulmonary Disease (COPD) Care
• Cultural Competency in Nursing
• +5 more

Assoc. Prof. Dr. Yasemin CEYHAN is an accomplished academic in nursing, currently serving as an Associate Professor at Kırşehir Ahi Evran University's Faculty of Health Sciences, Department of Nursing. She has been a full-time faculty member since 2013, initially as a Research Assistant (2013-2020) and subsequently as a Doctoral Teaching Member (2020-present). She holds multiple administrative positions including Head of Department (2020-present), Faculty Council Member (2022-present), and Quality Committee Member (2024-present). Dr. CEYHAN completed her Bachelor's Degree in Nursing at Ahi Evran University (2007-2011), followed by a Master's Degree in Nursing at Erciyes University (2012-2015), and earned her Doctorate in Internal Medicine Nursing from Erciyes University (2015-2019). She has completed numerous specialized courses in statistical analysis, meta-analysis, and healthcare research methodology. Her research primarily focuses on Internal Medicine Nursing with particular expertise in Chronic Obstructive Pulmonary Disease (COPD) management, cultural competency in nursing practice, and patient self-management in chronic diseases. She has developed significant expertise in psychometric evaluation of nursing instruments and has contributed substantially to understanding the relationship between cultural sensitivity and nursing care effectiveness. Her work bridges nursing practice with psychological, cultural, and physiological aspects of patient care. Analysis of her publication record reveals a clear evolution from descriptive studies to sophisticated analytical research employing structural equation modeling and randomized controlled trials. Her recent work demonstrates increasing methodological rigor with a focus on mediation and moderation effects in complex patient care scenarios, particularly in COPD management where she examines intricate relationships between symptoms, psychological factors, and self-management behaviors. Poster Presentation 3rd Prize (2014) from Eskişehir Osmangazi University Dr. CEYHAN has successfully supervised multiple Master's theses and currently mentors additional graduate students. She has secured and led several significant research projects funded by TÜBA, TÜBİTAK, and university research funds, focusing on chronic disease management, cultural competency assessment tools, and COPD patient care. Her research portfolio demonstrates a strong commitment to evidence-based nursing practice and instrument development. As an active member of the Turkish Respiratory Research Association (since 2018) and the Turkish Nurses Association (since 2015), Dr. CEYHAN maintains a robust collaborative research network that spans multiple Turkish universities, particularly Erciyes University. Her work reflects a team-oriented research approach with numerous co-authored publications demonstrating interdisciplinary collaboration.

Sara MagliacaneView profile

Assistant Professor

• Causality
• Causal Representation Learning
• Causality-inspired Machine Learning
• +4 more

Sara Magliacane is an Assistant Professor at the University of Amsterdam , affiliated with the Amsterdam Machine Learning Lab (AMLab) and the Informatics Institute . She also holds a Research Scientist position at the MIT-IBM Watson AI Lab and has been an ELLIS Scholar since 2022. Education PhD in Artificial Intelligence (2017), VU Amsterdam MSc in Computer Engineering (2011), Politecnico di Milano BSc in Computer Engineering (2008), Università degli Studi di Trieste Research Focus : At the intersection of Causality and Machine Learning , her work addresses Causal Representation Learning from high-dimensional data (images, sequences) Causal Discovery in latent confounder scenarios Causality-inspired Reinforcement Learning for robustness and adaptability Neurosymbolic AI for theoretical guarantees Publication Trends : Her recent work explores Factored adaptation in non-stationary environments (NeurIPS 2022) Temporal causal identifiability (ICML 2022) Binary interaction-based causal discovery (UAI 2023) Safe exploration in visual RL (HSCC 2021) Structure learning lower bounds (NeurIPS 2020) Scientific Recognition : ELLIS Scholar (2022–present) Spotlight presentations at ICML 2022 and ICLR 2022 Advising & Collaborations : Currently supervising 6 PhD students at the University of Amsterdam and AUMC, with 12 alumni advisees. Collaborates with researchers at MIT-IBM Watson AI Lab, Simons Institute, and TUM.