Find Academic Supervisors

• Machine Learning
• Data Mining
• Statistical Process Control
• +3 more

George Runger is a Professor at the School of Computing and Augmented Intelligence, Arizona State University. His work focuses on analytical methods for knowledge generation and data-driven organizational improvements, particularly in machine learning for large-scale data, real-time analysis, and applications to surveillance, decision support, and population health. Previously, he was a senior engineer and technical leader at IBM. Education: Ph.D. in Statistics, University of Minnesota (1982) Runger's research bridges machine learning, data mining, and statistical process control (SPC) to address challenges in manufacturing, healthcare, and semiconductor systems. His work includes developing artificial contrasts for signal detection, ensemble feature selection, and self-learning decision rules for adaptive SPC. His funded projects span NSF, DOD-NAVY-ONR, and Semiconductor Research Corporation grants, emphasizing supply chain analysis, dimensional metrology, and energy efficiency diagnostics. He has co-authored foundational texts like Applied Statistics and Probability for Engineers and Engineering Statistics . Scientific Awards: Inaugural Department Editor for Healthcare Informatics, INFORMS Transactions on Healthcare Systems Engineering Runger actively contributes to academia as a reviewer for journals like Management Science and IEEE Transactions on Knowledge and Data Engineering , and as a panel member for NSF and INFORMS workshops. He co-directs ASU's Quality and Reliability Engineering Laboratory and the Modeling and Analysis of Semiconductor Manufacturing team.

Lieven VandenbergheView profile

Professor

• Convex Optimization
• Semidefinite Programming
• System Identification
• +6 more

Lieven Vandenberghe is a Professor in the Electrical and Computer Engineering Department and Department of Mathematics at the University of California, Los Angeles (UCLA). His research focuses on convex optimization, semidefinite programming, and applications in signal processing, system identification, and control theory. Books: Co-author of Convex Optimization (2004) and Introduction to Applied Linear Algebra (2018) Courses: Teaches graduate-level courses in linear programming, convex optimization, and numerical computing (ECE236A/B/C, ECE133A/B) Software: Developer of CVXOPT, CHOMPACK, and SMCP for optimization algorithms His research group has produced significant work in sparse matrix computations, operator splitting methods, and applications to machine learning and control systems. Publications span topics like Bregman splitting, proximal gradient methods, and semidefinite programming for signal processing. His advisees include PhD students in optimization and postdoctoral researchers in applied mathematics.

Tyson Govan PhillipsView profile

Senior Lecturer

• Autonomous Systems
• Robotics
• Mining Automation
• +4 more

Dr. Tyson Phillips serves as Senior Lecturer and Director of Teaching and Learning at The University of Queensland's School of Mechanical and Mining Engineering within the Faculty of Engineering, Architecture and Information Technology. He is an active Affiliate of the Future Autonomous Systems and Technologies research group, focusing on translating robotics innovations into practical mining applications. His academic leadership includes curriculum development for engineering programs and direct industry engagement with major mining equipment manufacturers. He earned his Doctor of Philosophy (PhD) from The University of Queensland in 2016, with thesis research centered on LiDAR-based perception systems for autonomous excavators. His doctoral work established foundational methods for object pose verification in mining contexts. Phillips' research specializes in robotics perception for extreme mining environments, developing LiDAR-centric solutions for autonomous equipment operation amid dust, fog, and unstructured terrain. Key contributions include evidential reasoning frameworks for uncertainty management, real-time pose estimation algorithms, and sensor fusion techniques for excavators and bulldozers. His work bridges theoretical computer vision with industrial deployment, targeting operational safety and efficiency in mineral extraction. Publication analysis reveals consistent focus on mining robotics since 2012, with recent works (2021-2024) emphasizing minimal-sensor configurations, probabilistic terrain mapping, and vibration-assisted gripper technology. His 14 scholarly outputs demonstrate evolution from sensor evaluation (2012-2015) toward integrated autonomy systems (2018-2024), predominantly in Journal of Field Robotics and Sensors . He actively supervises graduate researchers as Principal Advisor for a PhD on multimodal perception mapping and Associate Advisor for two PhD projects involving spreader systems and physics-informed neural networks. Completed supervision includes a 2024 PhD on bulldozer terrain mapping and a 2021 Master's on shovel/hopper interaction strategies. Research funding spans 14 projects from 2012-2026, including current Australian Coal Association Research Program support (2025-2026) and major Caterpillar Inc. collaborations for ERS self-protection and articulated truck automation. Phillips operates within The University of Queensland's Future Autonomous Systems and Technologies group, which develops field-deployable autonomy solutions for mining partners. This team conducts real-world testing of perception systems using Caterpillar and FMG operational sites as validation environments.

Qiyang TanView profile

Researcher

• Additive Manufacturing
• Alloy Development
• Grain Refinement
• +3 more

Qiyang Tan is a Research Fellow at the School of Mechanical and Mining Engineering , The University of Queensland , with affiliations to the Centre for Advanced Materials Processing and Manufacturing (AMPAM) . His research focuses on additive manufacturing of metals and MAX phases , high-temperature oxidation , alloy development , grain refinement , and machine learning applications in materials science . Education: PhD (The University of Queensland, 2018), Bachelor of Materials Science and Engineering (South China University of Technology, 2014) Dr. Tan’s research expertise includes proposing the Oxide Reinforcement Model to understand metal oxidation resistance and applying the E2EM crystallographic model to identify new grain refiners for additively manufactured materials. His work spans Al, Ti, Cu alloys , steels , and γ-TiAl intermetallic alloys , aiming to improve processability in additive manufacturing for advanced ceramics and metallic-ceramic composites. His 15 most recent publications highlight trends in additive manufacturing , grain refinement , hydrogen embrittlement , and machine learning in alloy design , with applications in high-strength alloys , ceramics , and extreme environment materials . Dr. Tan is available for supervision and has secured funding from organizations such as the Australian Research Council (ARC) , Baosteel-Australia Joint Research and Development , and HBIS Group Co, Ltd .

• Mental Health
• Primary Care
• Depression
• +7 more

Professor Irwin Nazareth serves as Professor of Primary Care and Population Science at University College London's Department of Primary Care & Population Health. He previously held leadership roles including Head of Department (2006-2015) and Director of the MRC General Practice Research Framework (2005-2012), and currently directs the PRIMENT Clinical Trials Unit. His work bridges clinical practice, research, and education in primary care settings. His research spans mental health in primary care , with specific focus on depression, anxiety, psychosis, addiction disorders, and unexplained medical symptoms. Methodologically, he specializes in designing complex intervention trials and analyzing big data from clinical databases. His work extends internationally across Europe, South America, Africa, and South Asia, with significant projects in India. Nazareth's recent publications reveal strong trends in functional neurological disorders (particularly Physio4FMD trials), epilepsy dietary interventions (KIWE trials), and digital health solutions for tobacco cessation. His work consistently combines clinical neurology, mental health, and innovative trial methodologies with practical primary care applications. As an educator, he supervises doctoral students in Primary Care and Mental Health, teaches clinical medicine to medical students, and provides continuing education for GPs. He also leads Commonwealth Fellowship programs training healthcare professionals from Africa, India, Southeast Asia, and the Caribbean. Secured major funding from MRC, Wellcome Trust, Cancer Research UK, European Commission, and NIHR Extensive international collaborations across multiple continents Focus on implementation of research findings into clinical practice Expertise in complex intervention trials and big data analysis

Loic BinanView profile

Assistant Professor

• Cancer metastasis
• Spatial transcriptomics
• Gene regulatory networks
• +7 more

Loic Binan is an Assistant Professor in the Department of Human Genetics at McGill University, with additional affiliations as an Associate Member in the Department of Biomedical Engineering and the Integrated Program in Neuroscience. His research focuses on developing cutting-edge technologies to investigate how gene networks control the self-organization of cells into complex 3D tissues during development and in disease conditions. Dr. Binan's research interests span multiple interdisciplinary fields, with particular emphasis on cancer metastasis , where he investigates the genetic mechanisms allowing cells to reversibly transition between epithelial and mesenchymal phenotypes. His work also explores isoforms and non-coding regions , developing technologies to understand alternative splicing in neurodegenerative diseases, and examining how past cell-cell interactions shape present transcriptional activity during development. His laboratory employs a diverse array of techniques including CRISPR gene editing, spatial transcriptomics, single-cell RNA sequencing, advanced microscopy, and computational methods for image analysis. The recent publications reveal a strong trend toward integrating high-throughput genetic screening with spatial transcriptomics to map gene regulatory networks across both cancer biology and neuroscience contexts. Dr. Binan leads the Binan Lab at the Lady Davis Institute for Medical Research, where his team develops precision gene editing tools such as Cas9 and Cas12 for high-throughput screens, creates novel imaging tools to collect spatial context data, and builds computational tools to analyze these complex new data types. His research primarily focuses on cancer and neurodegenerative diseases, with particular attention to brain development and tumor microenvironments.

• Machine Learning
• Statistical Methodology
• Computational Biology
• +5 more

Eric P. Xing is a Professor at the Language Technologies Institute of Carnegie Mellon University , and currently serves as President of the Mohamed bin Zayed University of Artificial Intelligence . His work bridges machine learning methodology with computational biology and large-scale AI systems . Research Focus: Developing machine learning theory for high-dimensional, dynamic data Building foundation models for biology (AIDO, scLong, ProteinAligner) Designing scalable AI architectures (Pollux, LLM360, PAN) Advancing interpretable and controllable NLP systems Scientific Leadership: Founded the SAILING Lab at CMU Co-chaired ICML 2014 and ICML 2019 Recipient of the Jay Lepreau Best Paper Award (OSDI 2021) Education & Mentorship: Advises PhD students across machine learning and computational biology Alumni include faculty at ETH Zurich, University of Chicago, and UC San Diego

Pamela K. SmithView profile

Professor

• Power and Status
• Social Cognition
• Motivation and Goal Setting
• +3 more

Pamela K. Smith is a Professor of Economics and Management at the Rady School of Management, University of California San Diego. Her research examines power, status, influence, and hierarchical dynamics in social and organizational contexts, with significant contributions to understanding gender representation in workplaces. Education: Ph.D. in Social Psychology, New York University (2004) Dr. Smith's work investigates how power affects cognitive processing, motivation, and interpersonal behavior. She explores how individuals signal and perceive power through language, nonverbal cues, and decision-making patterns. Her research demonstrates that power increases abstract thinking, alters temporal discounting, and influences social judgments like blame attribution. She also examines gender disparities in professional settings, including women's representation at academic conferences. Her 15 most recent publications (2016-2025) reveal consistent focus on power dynamics across multiple domains. Key trends include the relationship between power and prosocial behavior, the role of communication medium in signaling power, and gender-based inequities in academic and organizational hierarchies. Publications appear in top journals including Journal of Personality and Social Psychology and Personality and Social Psychology Bulletin. Scientific Awards: No major awards listed in source material Dr. Smith serves on editorial boards for Journal of Personality and Social Psychology and Social Psychological and Personality Science, having previously held associate editor roles at Personality and Social Psychology Bulletin. While specific grant details aren't provided, her sustained publication record in high-impact journals indicates successful research funding. She mentors graduate students through UCSD's Ph.D. program. Dr. Smith leads an active research laboratory investigating power dynamics in everyday contexts, with recent work examining how power manifests through vocal pitch, visual communication, and decision-making processes. Her lab's findings have practical implications for leadership development and creating equitable organizational structures.

Kana M. SureshanView profile

Professor

• Topochemical Synthesis
• Supramolecular Chemistry
• Polymer Science
• +7 more

Prof. Kana M. Sureshan is a leading researcher at IISER Thiruvananthapuram 's School of Chemistry , specializing in topochemical synthesis , supramolecular chemistry , and polymer science . His work bridges materials chemistry and carbohydrate-based systems , with a focus on solid-state reactions and CO2 capture materials . Education : PhD (National Chemical Laboratory, Pune), MSc (University of Calicut), BSc (University of Calicut) Experience : Professor (2020-present), Associate Professor (2014-2019), Assistant Professor (2009-2014), Senior Scientist (2008-2009) His research interests include topochemical polymerization , self-healing materials , and crystal engineering . He pioneered solid-state synthesis of polymers with unique properties like helical structures and moisture-responsive adhesives . Recent article trends highlight CO2 capture materials (2025), collagen mimics (2025), and hierarchical crystal transformations (2024). Scientific Awards include JC Bose Fellowship (2024), Fellow of RSC (2018), Swarnajayanti Fellowship (2013), and Young Scientist Award (MIT, 2015). He serves on editorial/advisory boards for Chemical Society Reviews , Angewandte Chemie , and ACS Sustainable Chemistry and Engineering . His grants and collaborations span institutions in Germany, UK, and Japan. He has mentored numerous students and developed eco-friendly organogelators for marine oil-spill recovery (2016-2018).

Leanne F. AlaridView profile

Professor

• Gender and Crime
• Community Corrections
• Institutional Corrections
• +5 more

Dr. Leanne F. Alarid is a Professor in the Department of Criminal Justice at The University of Texas at El Paso, College of Liberal Arts. She earned her Ph.D. in Criminal Justice from Sam Houston State University and focuses on gender and crime, corrections policy, and mental health intersections with the justice system. Research Focus: Gender-specific analysis of criminal behavior, correctional treatment strategies, and mental health policy Current Project: Lead Evaluator for Bureau of Justice Assistance grant on jail-based reentry programs Editorial Roles: Member, Corrections: Policy, Practice and Research , Women and Criminal Justice , and Criminal Justice Policy Review Her recent publications emphasize community corrections , prison reentry , and gender dynamics in criminal justice , with a focus on implementation science and policy evaluation. She has contributed to journals like Justice Quarterly and The Prison Journal , alongside authoring major textbooks such as Community-Based Corrections and Corrections . Scientific Awards: 2011 Founder’s Award, Academy of Criminal Justice Sciences Dr. Alarid teaches courses including Correctional Systems, Community Corrections, Criminology, and Study Abroad programs in London. She actively evaluates correctional interventions and contributes to public policy discussions on decarceration and mental health diversion.

• Substance Use Disorders
• Alcohol Use Disorders
• Tobacco Use Disorders
• +5 more

Walter Roberts is an Assistant Professor in the Psychiatry Department at Yale School of Medicine with a secondary appointment in Biomedical Informatics & Data Science. A licensed clinical psychologist specializing in substance use treatment, particularly alcohol and tobacco use disorders, he combines clinical expertise with technological innovation in his research program. Dr. Roberts received his PhD in Clinical Psychology from the University of Kentucky in 2016. His research program employs multiple methodologies to identify the causes and consequences of substance use in humans, with a focus on developing mobile biosensor platforms that can passively detect and predict substance use behaviors. These systems, built using machine learning and informatics techniques, aim to improve assessment and targeted delivery of interventions in clinical and research settings. He also investigates risk factors for hazardous alcohol use using clinical and epidemiological data and maintains an active interest in research ethics related to substance use research. Dr. Roberts' publication record reveals a strong focus on alcohol use disorders, with increasing integration of digital phenotyping and AI technologies in recent years. His work spans from traditional clinical studies to cutting-edge investigations using wearable technology and machine learning. The research shows a clear trajectory toward developing objective, real-time assessment methods for substance use behaviors, with particular attention to sex and gender differences in alcohol-related outcomes. Recent publications demonstrate growing interest in ethical considerations surrounding digital technologies in substance use research. MD2K Training Institute Summer Scholar (2023) Early Career Scientist Award from CHADD (2015) Enoch Gordis Award Finalist from Research Society on Alcoholism (2013) Dr. Roberts serves as a Sub Investigator on multiple clinical trials related to alcohol addiction and mental health, including studies examining the effects of acute stress and inflammation on drinking behavior, combining varenicline and guanfacine for smoking cessation, and investigating whether propranolol attenuates stress-induced drinking. His collaborative network includes frequent co-authors such as Sherry McKee, Terril Luce, MacKenzie Peltier, Yasmin Zakiniaeiz, and Bubu Banini. His research has been featured in YaleNews, highlighting work on using smartwatches to better understand psychiatric illness.

Adele DiamondView profile

Professor

• Developmental Cognitive Neuroscience
• Executive Functions
• Prefrontal Cortex
• +6 more

Adele Diamond is a Professor at the University of British Columbia 's Faculty of Medicine , Department of Psychiatry . She pioneers Developmental Cognitive Neuroscience and challenges traditional educational and medical paradigms through her work on executive functions (EFs) and their modulation by dopamine , stress , and educational interventions . Her educational background includes: Philosophy of Science, London School of Economics (1972) B.A. in Psychology and Sociology & Anthropology, Swarthmore College (1975) Ph.D. in Developmental Psychology, Harvard University (1983) Postdoctoral Fellowship in Neuroanatomy, Yale University School of Medicine (1982-1985) Research focuses on: EFs ( cognitive flexibility , working memory , self-control ) and their neural bases in prefrontal cortex Gene-environment interactions like COMT gene polymorphism and sex differences under stress Interventions: mindful movement , Tools of the Mind curriculum, physical activity , and the arts Key scientific awards include: Fellow, Royal Society of Canada Huttenlocher Award (Flux Society for Developmental Cognitive Neuroscience) Two Honorary Doctorates (University of Cambridge, Erikson Institute) She mentors PhD students in Neuroscience, Population and Public Health, and Interdisciplinary Studies. Her lab at UBC's Centre for Brain Health and BC Children's Hospital Research Institute integrates neuroimaging (fMRI) with genetic analysis and intervention studies . Recently organized the 4-day international conference 'A Joyous Celebration' uniting 400+ attendees from 45 countries.

Ryozo NagamuneView profile

Professor

• Control Engineering
• Control of floating offshore wind turbines and wind farms
• Control of integrated solar thermal systems
• +6 more

Ryozo Nagamune is a Professor in the Department of Mechanical Engineering within the Faculty of Applied Science at the University of British Columbia (UBC). His research focuses on control engineering with specific expertise in floating offshore wind turbines, integrated solar thermal systems, and metal additive manufacturing processes. He maintains active collaborations with NSERC, MITACS, and industry partners including Ascent Systems Technologies. Dr. Nagamune received his B.Sc. and M.Sc. degrees from Osaka University, followed by a Ph.D. from the Royal Institute of Technology in Stockholm, Sweden. His educational background laid the foundation for his expertise in control systems theory and applications. His primary research interests center on control engineering, with particular emphasis on the control of floating offshore wind turbines and wind farms, integrated solar thermal systems, directed energy deposition metal additive manufacturing processes, engine aftertreatment systems, and data-driven modeling and control of dynamical systems. His work addresses critical challenges in renewable energy, manufacturing, and automotive applications, focusing on optimization, robustness, and efficiency improvements. The research spans theoretical developments in control algorithms to practical implementation in real-world systems. Analysis of Dr. Nagamune's recent publications reveals a strong focus on floating offshore wind turbine control, which constitutes approximately 40% of his recent work. Another significant portion (30%) addresses automotive control systems, particularly selective catalytic reduction for emissions control. The remaining publications cover diverse applications including haptic interfaces, spacecraft control, and precision manufacturing systems. His research demonstrates a consistent pattern of applying advanced control methodologies to solve practical engineering problems across multiple domains. Dr. Nagamune leads the Control Engineering Laboratory at UBC (located in KAIS 3104) and actively seeks collaborations with industry partners, research clusters, and interdisciplinary teams. His research is supported by major funding agencies including NSERC and MITACS, as well as industry partnerships. He is available for supervision of graduate students and expresses interest in working with undergraduate students on research projects. Dr. Nagamune welcomes interdisciplinary research opportunities and is particularly interested in collaborations that bridge multiple engineering domains.

Lifeng ChiView profile

Professor

• Supramolecular Chemistry
• Surface Science
• Nanomaterials
• +5 more

Prof. Dr. Lifeng Chi is a Chair Professor at Soochow University's Institute of Functional Nano & Soft Materials and an Adjunct Professor at the University of Münster. She holds a Hans Fischer Senior Fellowship at the Technical University of Munich Institute for Advanced Study (TUM-IAS) since 2019, where she leads the focus group on 'Molecular assemblies and covalent nanostructures on wide bandgap semiconductor surfaces'. Education B.S. and M.S. from Jilin University, China Ph.D. from University of Göttingen, Germany (1989) Habilitation from University of Münster, Germany (2000) Research Focus Her research spans three core areas: On-Surface Chemical Reactions including selective C-H bond activation and C-C coupling; Molecular Self-Assembly exploring chiral structures and covalent bonding; and Interfacial Engineering developing functional molecular architectures for sensing applications. Her work combines nanoscale fabrication with fundamental surface chemistry to create advanced functional materials. Publication Trends Over 370 publications demonstrate consistent focus on surface molecular phenomena, with recent work (2021-2025) emphasizing catalytic surface reactions, semiconductor interfaces, and molecular electronics. Earlier breakthroughs include alkane polymerization on gold surfaces and chiral network engineering, establishing foundational techniques in surface chemistry. Scientific Awards IUPAC Distinguished Women in Chemistry/Chemical Engineering (2017) ACS Nano Lectureship Award (2016) Molecular Science Frontier Lecture Professorship (2016) Distinguished Innovation Scientist, Jiangsu (2013) Lisa Meitner Scholarship (1997) Leadership & Labs Directs the Institute of Functional Nano & Soft Materials at Soochow University, overseeing research in molecular assembly and surface engineering. At TUM-IAS, collaborates with Prof. Johannes Barth and Prof. Martin Stutzmann on semiconductor surface modifications.

Edith C. H. NgaiView profile

Associate Professor

• Internet-of-Things
• mobile crowdsensing
• network security
• +12 more

Edith C. H. Ngai is an Associate Professor in the Department of Information Technology at Uppsala University, Sweden. She leads the Smart City Arena initiative and serves as project leader for the national GreenIoT project on energy-efficient IoT for sustainable city development funded by Vinnova. Her academic career spans multiple prestigious institutions including Chinese University of Hong Kong, Imperial College London, Simon Fraser University, UCLA, and Tsinghua University. Dr. Ngai's research focuses on Internet-of-Things, mobile crowdsensing, network security and privacy, cloud computing, and data analytics, with particular applications in smart cities and healthcare. Her work bridges theoretical foundations with practical implementations for sustainable development. She has pioneered research in energy-efficient IoT systems, data privacy in participatory sensing, and mobile health monitoring applications. Her recent publications demonstrate strong trends in IoT for smart cities, privacy-preserving techniques in social sensing, and energy-efficient data collection systems. The research spans both theoretical contributions and practical implementations, with applications ranging from urban environmental monitoring to healthcare solutions. Her work consistently addresses the tension between functionality and privacy in connected systems. Professional recognition includes: ACM Senior Member (2016) IEEE Senior Member (2015) ACM/IEEE IPSN Best Paper Runner-Up (2013) IEEE IWQoS Best Paper Runner-Up (2010) VINNMER Fellow from Swedish government agency (2009) Dr. Ngai actively mentors PhD and Master's students, with numerous graduates working at leading technology companies including Google. She serves as Associate Editor for IEEE Access, IEEE Transactions on Industrial Informatics, and IEEE Internet-of-Things Journal. Her current research projects include EU SimpliCITY, EU CRUNCH, and the GreenIoT platform for sustainable development, with funding from European Commission, Swedish Research Council, and Vinnova. She leads the Uppsala Urban Computing Lab, which focuses on IoT and mobile crowdsensing for smart cities, network security and data privacy, and smart sensing for healthcare applications. The lab develops integrated decision support tools for smart cities and citizen engagement platforms.