Find Academic Supervisors

• Psychometrics
• Structural Equation Modeling
• Alcohol Consumption in Adolescents
• +5 more

Begoña Espejo Tort is a Full Professor in the Methodology of Behavioral Sciences department at the Faculty of Psychology and Speech Therapy , University of Valencia. Her research focuses on psychometric validation of scales, structural equation modeling, adolescent alcohol consumption analysis, and preventive program evaluation. Current academic affiliation: University of Valencia Research groups: PSY-HEALTH, SPORT&WB Her recent publications address cross-cultural scale validation, including work on vaccination attitudes, chronic pain misbeliefs, and well-being measurement. Articles cover topics like: Psychometric properties of scales across 13 countries Measurement invariance analysis by gender/age Well-being assessment in diverse populations Vaccination hesitancy and fear of disease Alcohol consequence assessment in youth Key collaborations include international teams in Vietnam, Colombia, Chile, and Spain. No scientific awards explicitly mentioned in available texts.

• Targeted Marketing
• Data-Driven Product Design
• Pricing and Markdown Optimization
• +5 more

Artem Timoshenko is an Associate Professor of Marketing at the Kellogg School of Management, Northwestern University. His research focuses on leveraging emerging technologies like AI and machine learning to innovate in marketing strategies, product development, and customer engagement. He collaborates closely with industry partners across retail, finance, automotive, and technology sectors to develop actionable insights through field experiments and proof-of-concept studies. Education : Ph.D. in Marketing (MIT Sloan School of Management) M.A. in Economics (New Economic School) Diploma in Applied Mathematics and Computer Science (Moscow State University) Research Interests : Professor Timoshenko explores how generative AI enhances product development, optimizes pricing strategies, and improves data-driven customer targeting. His work emphasizes scalable deep learning models for large product assortments and robust machine learning methods for marketing analytics. He also investigates the ethical implications of AI in consumer interactions and the transformation of retail into advertising platforms. Awards & Honors : Chairs’ Core Course Teaching Award (Kellogg) MSI Young Scholar Award Frank M. Bass Dissertation Paper Award Finalist John D.C. Little Best Paper Award Finalist Robert D. Buzzell Best Paper Award Finalist Consulting & Outreach : Available for consulting on customer analytics and AI applications. Teaches the Marketing Management course (MKTG-430-0), emphasizing analytical approaches to marketplace dynamics and strategic decision-making.

• Quantum algorithms
• Quantum computational complexity
• Classical information theory
• +3 more

Penghui Yao is a Professor in the Department of Computer Science and Technology at Nanjing University, where he is a member of the CS Theory group. His academic career spans prestigious institutions including the Centre for Quantum Technologies at National University of Singapore, Centrum Wiskunde Informatica (CWI), Institute for Quantum Computing (IQC) at University of Waterloo, and Joint Center for Quantum Information and Computer Science (QuICS) at University of Maryland. Education: BSc in Mathematics from East China Normal University PhD from Centre for Quantum Technologies, National University of Singapore (supervised by Rahul Jain and Miklos Santha) Professor Yao's research focuses on quantum computing and theoretical computer science, with particular expertise in quantum algorithms and computational complexity. His work bridges classical and quantum information theory, with significant contributions to analysis of Boolean functions and their quantum applications. He has developed novel approaches to communication complexity problems in both classical and quantum settings, advancing our understanding of the fundamental limits of computation. His recent publications reveal a strong trend toward practical quantum algorithms with applications in distributed systems, quantum simulation, and quantum cryptography. The breadth of his work spans from theoretical foundations of quantum complexity classes to experimental implementations of quantum processes, demonstrating both depth in theoretical understanding and relevance to practical quantum computing challenges. Professor Yao actively mentors the next generation of quantum computing researchers, supervising multiple PhD and Master's students at Nanjing University while maintaining collaborations with international research groups. His service to the community includes program committee roles for major quantum computing conferences including QIP and TQC.

• Atmospheric Sciences
• Air Pollution Chemistry
• Environmental Toxicology
• +5 more

Aristeidis Voliotis is a NCAS Research Scientist at the University of Manchester's Department of Earth and Environmental Science within the Faculty of Science and Engineering. His research focuses on the formation, transformation, and health impacts of atmospheric pollutants using advanced methodologies such as the Manchester Aerosol Chamber and mass spectrometry. He investigates pollutants from biomass burning, cooking, cleaning products, and plant emissions, with a particular emphasis on linking atmospheric chemistry to biological effects through in-vitro and in-vivo studies. His teaching includes undergraduate Atmospheric Composition modules. Voliotis co-supervises numerous PhD projects exploring pollutant impacts on lung health, aerosol toxicity, and industrial collaborations (e.g., ImmuOne, DEKATI, Sygenta). He leads and participates in funded projects like GRIM-SAF (aviation non-CO₂ impacts) and TOX-PEST (pesticide-derived aerosol toxicity), demonstrating expertise in interdisciplinary research at the intersection of atmospheric science and toxicology. His work contributes to UN Sustainable Development Goals related to environmental health and climate action. Education includes a PhD in Earth, Atmospheric and Environmental Sciences (University of Manchester, 2021), MSc in Environmental Chemistry (Aristotle University of Thessaloniki, 2017), and BSc in Environmental Science (University of the Aegean, 2013). External roles include visiting researcher at The Cyprus Institute (2017) and research assistantships in Greece (2015-2016). Research highlights include developing novel sampling methods for pollutant exposure studies and characterizing ice nucleation abilities of biomass burning aerosols. His articles span pesticide volatility analysis, biomass burning aerosol chemistry, and urban pollution sources, reflecting a commitment to advancing both fundamental and applied environmental science.

Bruce BettsView profile

Adjunct Professor

• Planetary Science
• Astronomy
• Space Instrumentation
• +3 more

Dr. Bruce Betts is Chief Scientist and LightSail Program Manager at The Planetary Society, a global space advocacy organization. He holds a Ph.D. in Planetary Science from Caltech and has extensive experience in planetary research, instrument management, and public outreach. As an Adjunct Professor at California State University Dominguez Hills, he teaches astronomy and planetary science. His research focuses on planetary surfaces, including Mars, the Moon, and Jupiter’s moons, using infrared data. He has managed high-profile projects like silica glass DVDs on Mars rovers and the LIFE experiment on the Phobos mission. Betts is author of Astronomy for Kids and regularly contributes to The Planetary Report , his blog, and social media (@RandomSpaceFact). He co-hosts Planetary Radio and has appeared on The Universe documentary series. His work bridges academia, public engagement, and space policy advocacy. Education: B.S. in Physics and Math, Stanford University M.S. in Applied Physics, Stanford University Ph.D. in Planetary Science (with Geology minor), California Institute of Technology Research Interests: Planetary surface analysis, asteroid hunting, space instrumentation, and making space accessible to the public through writing, media, and education. Recent Article Themes: Focus on planetary defense (NEO grants), astrobiology (space agriculture/exoplanet atmospheres), and space policy (budget analysis, Artemis Accords). His articles blend technical insights with broader implications for exploration and policy. Awards & Recognition: Not explicitly listed in text, but his contributions to space advocacy and education are widely recognized within the field. Grants & Projects: Managed NASA instrument programs, led LightSail solar sail missions, and oversees outreach projects like the Mars Sample Return initiative. His STEP grants explore space farming and Martian lake analogs. Labs & Teams: Involved with The Planetary Society’s Shoemaker NEO Grant program, LightSail engineering teams, and collaborations with institutions like JPL and Caltech.

Xiaolin WuView profile

Professor

• Image Processing
• Multimedia Coding and Communication
• Computer Vision
• +7 more

Dr. Xiaolin Wu is a Professor in the Department of Electrical & Computer Engineering at McMaster University's Faculty of Engineering. With expertise in image processing, multimedia coding, computer vision, and artificial intelligence, he has made groundbreaking contributions to visual/multimedia computing and communication. His research has resulted in over 350 publications and four patents, including the renowned CALIC algorithm for lossless image coding and L3 codec for digital cinema. B.Sc. from Wuhan University (1982) Ph.D. from University of Calgary (1988) Dr. Wu's research spans critical areas such as image restoration (demosaicing, denoising, superresolution), multimedia coding (JPEG, wavelet transforms), and information display (Temporal Psychovisual Modulation). His work on TPVM, featured in MIT Technology Review, redefines display technology by leveraging human vision properties for multi-user VR/AR experiences. Recent publications focus on deep learning applications for image/video restoration, including multi-modality approaches and l∞-constrained compression. His algorithms, such as fast color quantizers and compressive sensing recovery methods, have been widely adopted in industries like medical imaging and digital cinema. Dr. Wu also holds an NSERC Senior Industrial Research Chair and has collaborated with global tech leaders including Microsoft, Nokia, and Huawei. IS&T/SPIE Best Paper Award UWO Distinguished Research Professor Award McMaster Distinguished Engineering Professor Award IEEE Fellow As an educator, Dr. Wu teaches courses in image processing, discrete methods, numerical analysis, and parallel computing, emphasizing algorithm design, data structures, and real-time systems. His work bridges academic research with industrial applications, ensuring practical impact across biomedical imaging, digital security, and smart display technologies.

• Computer Science
• Human-Computer Interaction
• Virtual Reality
• +3 more

Stephen Pettifer is a Professor of Computer Science specializing in Human-Computer Interaction. His research spans Virtual Reality, Robotics, and Semantic Web technologies, with applications in healthcare and data integration. He is affiliated with advanced research groups focused on Digital Futures and contributes to UN Sustainable Development Goals through his work. Research Interests: Virtual Reality systems for robotics teleoperation, foveated rendering optimization, semantic knowledge discovery, and applications of VR in mental health treatment (e.g., alcohol misuse). His work intersects computational resource management, display technologies, and immersive interface design. Recent Trends: Publications demonstrate expertise in Virtual Reality (100% coverage), Robotics (66%), and Semantic Web (60%) domains. Key subfields include teleoperation systems, human factors in VR, and therapeutic applications of virtual environments. Projects: Leads research on Virtual Reality applications in child sexual exploitation prevention (2019-2020) and contributed to Open-PHACTS drug discovery platform (2011-2014), integrating chemistry, biology, and pharmacology data through semantic web technologies. Impacts: Developed the Utopia Suite for knowledge discovery in publishing and pharmaceutical industries, creating technological and economic impacts through data linkage solutions.

Leah HibelView profile

Professor

• Stress Physiology
• Family Stress
• Parenting Stress
• +5 more

Leah Hibel is a Professor of Human Development and Family Studies at the University of California, Davis, directing the Hibel Lab and leading the California Babies Project. Her research examines physiological and relational dynamics in families, with emphasis on underserved populations including rural communities, families in poverty, African American and Hispanic families, and maltreated children. Her primary research interests focus on stress physiology mechanisms linking family stress to child outcomes, mother-child physiological co-regulation, parenting stress impacts, and lactation physiology. She investigates how adverse socioeconomic conditions disrupt family functioning through stress physiology pathways, particularly examining cortisol and salivary alpha-amylase biomarkers in mother-child dyads across diverse cultural contexts. Analysis of her recent publications reveals consistent methodological innovation in longitudinal dyadic designs, with growing emphasis on pandemic impacts and ecological validity. Her work spans developmental psychobiology, clinical family psychology, and stress physiology, increasingly incorporating cultural diversity considerations in stress measurement and intervention development. Dr. Hibel secured $24,375 through UC Davis' CRAFT program for her project on buffers to COVID-19 mental health impacts. She actively mentors graduate students evidenced by numerous student-coauthored publications, and collaborates with community agencies serving foster families, migrant children, and populations experiencing poverty. The Hibel Lab conducts the California Babies Project investigating family stress physiology interactions during early childhood development, utilizing both laboratory and ecologically valid naturalistic assessment methods.

Chris AshwinView profile

Senior Lecturer

• Autism Spectrum Disorders
• Cognitive Neuroscience
• Sensory Processing
• +3 more

Chris Ashwin is a Senior Lecturer in the Department of Psychology at the University of Bath, where he is a core member of the Centre for Applied Autism Research. He actively contributes to academic teaching, research supervision, and is currently accepting doctoral students for mentorship. His research employs cognitive and neuroscience methodologies to investigate both strengths (sensory processing, attention to detail, deliberation) and challenges (emotion processing, empathy, gaze processing) in autism spectrum disorders. He develops practical interventions to support autistic individuals during critical life transitions, particularly into university and employment settings. His work directly contributes to UN Sustainable Development Goals related to health, well-being, and inclusive education. Recent publications (2024-2025) reveal strong thematic trends: intersectional analysis of autism with gender identity, neural mechanisms of social interaction through EEG and hyperscanning techniques, and diagnostic barriers for autistic females. His work spans qualitative healthcare studies, quantitative neural synchrony experiments, and systematic reviews of clinical assessment tools. Dr. Ashwin has secured significant research funding including the active “Autism friendly university” project (2019-2025) funded by The John and Lorna Wing Foundation, a UK-Japan cross-cultural transition study, and projects with EPSRC and The Leverhulme Trust. He has supervised 11 students to date across autism-focused research. As a principal investigator and co-investigator on multiple grants, he collaborates internationally on initiatives spanning brain network mapping, emotion recognition via EEG, and large-scale autism support programs through the Centre for Applied Autism Research.

Carl MitchellView profile

Professor

• Biogeochemistry
• Hydrology
• Mercury Cycling
• +10 more

Carl Mitchell is a Professor in the Department of Physical and Environmental Sciences at the University of Toronto Scarborough Campus (UTSC), with graduate appointments in the Department of Geography and the School of the Environment at the University of Toronto. His research focuses on biogeochemical processes and contaminant transport, particularly mercury cycling, in diverse ecosystems including boreal forests, Arctic regions, and urban environments. PhD in Physical Geography, University of Toronto (2007) Postdoctoral Fellowship, Smithsonian Environmental Research Center (2008) Research interests include biogeochemistry , hydrology , mercury cycling , sulphur cycling , carbon cycling , and passive sampling techniques . His work explores how landscape features and human activities (e.g., forest harvesting, urbanization) influence mercury bioavailability and transport. Recent publications highlight studies on mercury dynamics in forest soils , beaver ponds , rice paddies , and Arctic ecosystems , with a focus on methylation/demethylation mechanisms and remediation strategies. Articles span environmental science, hydrology, and biogeochemical modeling. Awards include the Young Scientist Award from the Canadian Geophysical Union (2017), along with leadership roles as President (2019–21) and Past-President of the CGU. He serves as Associate Editor for Frontiers in Environmental Science . Supervised students and postdocs: Haiyong Huang (postdoc, 2024), Wai Ying Lam (postdoc, 2024), Sayuri Sagisaka Mendez (PhD candidate), and numerous alumni including David McLagan (now Assistant Professor, Queen’s University) and Colin McCarter (now Assistant Professor, Nipissing University). Teaching: EESB04 (Principles of Hydrology), EES1126 (Hydrology and Watershed Management) The WATER Group operates the CFI and MRI-funded Integrated Watershed Hydrology and Biogeochemistry Research Facility , combining field and lab-based methods to study contaminant transport.

Patrick CoxView profile

Assistant Professor

• Cognitive Psychology
• Neuroscience
• Visual Search
• +8 more

Patrick Cox is an Assistant Professor at Lehigh University, specializing in Cognitive Psychology and Neuroscience . His research explores variability in perception and attention across contexts and expertise levels, with applications in training strategies, autism treatments, and computer vision. Education: Ph.D. in Neuroscience from Georgetown University Previous Position: Postdoctoral Fellow at George Washington University Research interests include Visual Search , Attention , Computational Cognitive Neuroscience , and Object Perception . His interdisciplinary approach combines behavioral testing , EEG , and computational modeling to address both basic and applied questions in cognition. Recent articles focus on experimental design biases , auditory-visual integration , expert performance , and fatigue-induced cognitive decline . Applied work spans autism research , airport security training , and biologically-inspired algorithms . Contact: pac323@lehigh.edu | Chandler-Ullmann Room 109

Katharina Maag MerkiView profile

Professor

• School quality and school development research
• Equal opportunities and educational disadvantages
• Educational governance
• +3 more

Prof. Dr. Katharina Maag Merki serves as Professor of Educational Science with focus on Theory and Empirical Research on Educational Processes in Schools at the University of Zurich's Institute of Educational Science. Her work centers on improving educational quality through rigorous theoretical and empirical research on school processes, with particular emphasis on reducing educational disadvantages and promoting equal opportunities. Maag Merki's research interests focus on the theoretical and empirical analysis of students' educational processes in school, with special attention to self-regulated learning. She investigates how students plan, monitor, and modify their learning when goals aren't met, examining the conditions that enable optimal educational processes and their effects on student outcomes. Her work spans school quality and development research, educational governance, and strategies for reducing educational disparities. Her recent publication trends reveal a strong emphasis on collaborative approaches to school improvement, particularly examining teacher collaboration networks and their impact on student achievement. She has conducted significant research on how schools adapt to challenging situations, including the pandemic, with a focus on routine regulation strategies and brokerage in educational change. Her work increasingly integrates longitudinal and mixed-methods approaches to understand the dynamic nature of school development. UZH Mentoring Award 2021 - Recognizing outstanding doctoral supervision and support for young researchers Highly Commended Paper Award from the 2015 Emerald Literati Network Paper Awards for Excellence for her work on intervention studies in school improvement Maag Merki actively mentors doctoral students across multiple institutions, supervising projects examining academic optimism in teaching development, self-regulation training for new teachers, and strategies for promoting self-regulated learning among students. Her research portfolio includes significant SNSF-funded projects such as 'The Art of Managing Oneself as a Teacher' and 'Regulation of Routines in Teaching Development' (R2), demonstrating her leadership in securing competitive research funding. She leads the Chair for Theory and Empiricism of School Educational Processes, coordinating a research team focused on understanding educational processes in schools through multiple methodological approaches. Her work examines not only the actions of teachers, parents, and students but also their motivations, goals, and strategies for adapting to new challenges, with the ultimate goal of using research findings to improve concrete school practice and the education system.

• Inflammatory Bowel Disease
• Microbiome
• Nutrition
• +1 more

Professor Helen Steed is a consultant gastroenterologist at the Royal Wolverhampton NHS Trust and a Professor of Gastroenterology and Medical Education at the Faculty of Science and Engineering . Her research focuses on Inflammatory Bowel Disease , Microbiome , Nutrition , and Medical Education , with particular interest in biomarker development and family planning in IBD patients. MBChB from the University of Dundee (2002) MD from the University of Dundee (2012) Her academic contributions include leadership roles as Secretary of the British Society of Gastroenterology (2021–2025) and Chair of the BSG Food and Function Research Group (2019–2022). She also serves as Director of Postgraduate Medical Education for the Royal Wolverhampton NHS Trust and Walsall Healthcare NHS Trust, and as West Midlands Lead DME and Associate Dean for the Imaging and Endoscopy Academies. Recent publications include studies on: Gut microbiome alterations in postoperative Crohn's disease Quality of life in bile acid diarrhea patients Family planning and medication adherence in IBD Microbiome-liver disease interactions Her research has been supported by grants from Guts UK , Crohn's and Colitis UK , and Bowel Disease Research Foundation . She supervises postgraduate research projects, including the Brains, Bowels and Babies study (2019–2022).

• Emotional regulation
• Rumination
• Affective forecasting
• +3 more

Ulrike Zetsche is a researcher at the Department of Education and Psychology, Clinical Psychology and Psychotherapy, Freie Universität Berlin. Her work focuses on emotional regulation , rumination , affective forecasting , and depression , utilizing experience sampling methods. Key Research Themes Emotion regulation processes in clinical populations Cognitive mechanisms in depression and OCD Development of psychological assessment tools Publication Trends : Over 2007–2024, her studies span OCD neurobiology (2007–2012), inhibition deficits in depression (2007–2012), and daily affect regulation (2018–2024). Recent work integrates ambulatory assessment with mindfulness interventions and cognitive control analysis. Collaborations : Works closely with researchers like P.-C. Bürkner, L. Schulze, and B. Renneberg on clinical trials and meta-analyses. Involved in projects such as PANDA, I-REACH, and Smart-e-Moms.

Kevin LuView profile

Teaching Professor

• Optical Networks
• Telecommunications R&D
• Internet of Things (IoT)
• +7 more

Kevin Lu is a Teaching Professor and Associate Dean for Undergraduate Studies at the Charles V. Schaefer, Jr. School of Engineering and Science at Stevens Institute of Technology . He holds a D.Sc. in Systems Science and Mathematics from Washington University in St. Louis and has over 40 years of experience in telecommunications R&D, academia, and standards development. Lu's career spans roles at Bellcore/Telcordia, Broadcom, and Stevens Institute of Technology. IEEE Life Senior Member since 1980 2018 transition from industry to academia after 28 years at Bellcore/Telcordia 2024 recipient of IEEE Standards Association Distinguished Service Award Research Interests: Focus on optical networks , telecommunications infrastructure , and Internet of Things education. His work explores network survivability , data integrity in AI systems , and passive optical network deployment . Current teaching includes courses on Digital System Design and Internet of Things . Standards Leadership: Lu chairs the IEEE Standards Board Industry Connections Committee and has served on multiple IEEE SA committees since 2005. His 2024 award recognized governance leadership in industry-standard development processes. Academic Contributions: Lu transitioned to full-time academia in 2018 after serving as Adjunct Professor at Stevens since 2015. His teaching philosophy emphasizes lifelong learning and soft skill development alongside technical knowledge. He received Stevens' Henry Morton Distinguished Teaching Professor Award and departmental teaching/service awards.