Dr. Alyssa Culp is an Assistant Professor in the Department of History at Illinois Wesleyan University. She holds a B.A. from the University of South Florida-Tampa and both M.A. and Ph.D. degrees from the University of Tennessee-Knoxville. Her research specializes in modern German history with interdisciplinary focus on: Science-medicine-culture intersections Public health history Digital storytelling methodologies Historical memory studies Her forthcoming book analyzes 19th-century Bavarian morgues as lenses into public health traditions. Research has been supported by: Fulbright Open Study/Research Award (2020-2021) DAAD Short-Term Research Grant (2019) Central European Historical Society Travel Grant She teaches diverse courses including: Modern Global History The Holocaust & World Wars History of Medicine & Public Health Digital History Cold War studies Science/technology history
Adnène Hajji is a Full Professor at Université Laval's Faculty of Business Administration, specializing in Operations and Decision Systems. His academic journey includes a postdoctoral fellowship at Polytechnique Montréal, Ph.D. from École de technologie supérieure, and bachelor's degree from National Engineering School of Tunis. Research Focus: Professor Hajji's work bridges operations research and artificial intelligence, with core interests in: Production planning and control for unreliable systems Stochastic optimization in manufacturing/remanufacturing Hybrid AI models (deep learning + evolutionary algorithms) Sustainable operations and closed-loop supply chains Project scheduling under uncertainty His 50+ publications demonstrate consistent innovation in integrating predictive maintenance with production planning, developing optimization algorithms for engineer-to-order contexts, and applying data-driven approaches to healthcare and smart cities. Recent work shows strong emphasis on CNN-LSTM architectures and genetic algorithm hybrids. Student Supervision: Actively advises graduate researchers in industrial engineering and operations management, though specific student names aren't publicly listed.
Jinki Kim serves as an Assistant Professor in the Department of Mechanical Engineering at Georgia Southern University, where he has been a faculty member since 2018. His research program bridges mechanical systems, materials science, and computational methods, with particular emphasis on experimental techniques for structural assessment and manufacturing processes. Professor Kim's academic credentials include a Ph.D. in Mechanical Engineering from the University of Michigan (2017), complemented by both M.S. and B.S. degrees in Mechanical and Aerospace Engineering from Seoul National University (2008 and 2006 respectively). His educational foundation supports his interdisciplinary research approach spanning mechanical systems and experimental dynamics. Research interests center on Smart Materials and Structures , Structural Health Monitoring , and Advanced Manufacturing , with specific expertise in video-based motion estimation, piezoelectric systems, and machine learning applications. His work demonstrates strong connections to piezoelectric engineering (81% fingerprint match) and structural health monitoring (51%), while contributing to UN Sustainable Development Goals in sustainable industrialization. Recent projects integrate deep learning with traditional engineering methods to solve practical problems in bioprinting and infrastructure assessment. Publication trends from 2023-2024 reveal significant focus on applying computational techniques to manufacturing and structural monitoring challenges. Five recent papers demonstrate consistent methodology using video-based vibration analysis combined with machine learning, particularly in bio-printing quality control and soil mechanics characterization. This work shows increasing interdisciplinary collaboration across mechanical, civil, and biomedical engineering domains. Professor Kim currently leads an active NSF grant ($500,000, 2023-2025) as Principal Investigator for bio-printed construct evaluation research. While specific student advising details aren't provided in the source material, his educational publication suggests active engagement in curriculum development for mechatronics and machine learning integration. His research group likely supports graduate students working on video-based monitoring systems and manufacturing applications. Though no formal lab name is specified, Professor Kim's research group focuses on experimental validation of structural systems using non-contact measurement techniques. The group's work combines mechanical testing with computational analysis, particularly in additive manufacturing quality assurance and structural health monitoring applications, utilizing video-based vibrometry as a core methodology.
Timothy Ricker is an Associate Professor in the Department of Psychology at the University of South Dakota, where he conducts research on working memory, cognition, attention, and perception. His work combines behavioral experimentation, mathematical process modeling, and Bayesian estimation to investigate how visual sensations transform into robust working memories and the mechanisms of forgetting during multitasking. He teaches courses related to cognition and statistics, framing the brain as a computer and life as probabilistic events. Education: Ph D, Psychology, University of Missouri, 2013 MA, Psychology, University of Missouri, 2009 BA, Psychology, Michigan State University, 2006 Ricker's research focuses on short-term consolidation in working memory, examining how fleeting sensory representations become durable memories. His lab investigates boundary conditions for cognitive load effects, the relationship between working memory and multitasking, and how memory representations change across different tasks. Using computational models, his team differentiates fine-detail and categorical-gist memory representations, with recent work challenging traditional views that multitasking causes forgetting—instead proposing it prevents standard memory creation processes. His publication record shows a clear trajectory toward understanding memory consolidation mechanisms, with increasing emphasis on computational modeling approaches like drift diffusion modeling. Recent work explores the relationship between working memory and long-term memory, the impact of mind-wandering on cognitive performance, and translating laboratory findings to everyday cognitive functioning. Scientific Awards: Arts & Sciences Faculty Travel Grant, College of Arts & Sciences, University of South Dakota (2022) Arts & Sciences Faculty Travel Grant, College of Arts & Sciences, University of South Dakota (2023) Arts & Sciences Faculty Travel Grant, College of Arts & Sciences, University of South Dakota (2024) Ricker has secured substantial grant funding including a $1.5M award from the National Institute of Neurological Disorders and Stroke (2025-2030) for his Bayesian Neurocomputational Model of Cognitive Change in Multiple Sclerosis. His research program is supported by diverse funding sources including the Swiss National Science Foundation and the Center for Brain and Behavior Research at USD. He directs the Memory & Attention Laboratory at USD, which employs behavioral experiments, eye tracking, pupillometry, and computational modeling to study fundamental memory and attention processes. The lab has developed a distinctive focus on translating laboratory findings to everyday cognitive functioning and understanding suboptimal cognitive performance in daily life contexts, moving beyond traditional ideal observer models.
Dr. Chris Oriet is a Professor in the Department of Psychology within the Faculty of Arts at the University of Regina. He concurrently serves as Associate Dean, Planning and Programs, for the Faculty of Graduate Studies and Research. His academic appointment is firmly rooted in cognitive psychology with a focus on experimental methodologies. Dr. Oriet earned his Ph.D. from the University of Waterloo. His educational background established the foundation for his research in human information processing and visual cognition. His research program investigates face learning and recognition mechanisms, attentional limitations in perception, and the effects of experience on visual processing. Key contributions include demonstrating how within-person variability contributes to durable face learning, establishing that statistical summary representations facilitate visual short-term memory retention, and developing the single lineup paradigm for eyewitness identification research. His work bridges theoretical cognitive models with real-world applications in forensic psychology. Analysis of Dr. Oriet's recent publications reveals a cohesive trajectory focusing on face processing systems (2021-2024), attention capture mechanisms (2017-2020), and statistical representation in visual cognition (2016-2023). His research consistently examines how humans process complex visual information under attentional constraints, with particular emphasis on facial identity representation and its implications for eyewitness testimony. Dr. Oriet has secured competitive research funding from NSERC, including a current Discovery Development Grant (2023-2025) supporting his work on within-person variability in face memory. His research program demonstrates sustained productivity with consistent publication in top cognitive psychology journals. He directs the Regina Integrative Cognitive Experimentation Lab, which employs rigorous experimental approaches to investigate visual perception and memory. The lab's current work focuses on face-space modeling, attentional capture phenomena, and applications of cognitive principles to eyewitness identification procedures, maintaining strong connections between basic research and practical forensic applications.
Dr. Cameron A. Miller serves as Associate Professor of Psychology and Department Chair of Human Services and Psychology within Mercer University's College of Professional Advancement. With over a decade of academic experience since completing his PhD in 2013, he bridges clinical practice and scholarly research with expertise in aggression studies, substance use disorders, and cognitive psychology. His educational foundation includes: PhD in Clinical Psychology, Georgia State University (2013) MA in Clinical Psychology, Western Carolina University (2006) BS in Psychology, University of Georgia (2004) Dr. Miller's research program centers on alcohol-related aggression mechanisms, examining how individual traits and environmental cues interact to produce violent behavior. His clinical work with veterans informs parallel investigations into co-occurring PTSD and substance use disorders. Additional cognitive research explores false memory formation through classroom-based experimental paradigms, demonstrating practical applications for educational psychology. His publication record shows consistent output in aggression research and cognitive psychology, with a 2015 Psychology of Violence article examining laboratory aggression ethics and a 2018 JoVE publication advancing classroom-based false memory methodologies. Current work focuses on alcohol-related attention biases in high-status individuals, indicating ongoing evolution in his aggression research trajectory. Professional recognition includes: Daily Points of Light Award Honoree (2022) Excellence in Academic Advising Award (2019) Dr. Miller actively mentors students through capstone research projects and teaches across the psychology curriculum, from introductory courses to advanced clinical topics. His past involvement in NIAAA and CDC-funded research demonstrates substantial grant experience, while current conference presentations reveal active engagement with telemental health applications and transformative learning methodologies. Though no formal laboratory name is specified, his research group operates within the Department of Human Services and Psychology, providing students with hands-on experience in aggression studies, cognitive experiments, and clinical assessments through course-integrated research opportunities.
Dr. Raju Sapkota serves as a Senior Research Fellow at Anglia Ruskin University's Vision and Eye Research Institute within the School of Medicine (Faculty of Health, Medicine and Social Care). His academic foundation includes a PhD from Anglia Ruskin University (2010), MSc in Investigative Ophthalmology and Vision Science from the University of Manchester (2006), and Bachelor in Optometry from Tribhuvan University, Nepal (2002). His research expertise centers on diabetes and diabetic retinopathy in Asian populations, visual short-term memory as a biomarker for cognitive decline, and visual function in age-related macular degeneration. Key research areas include: Risk factors and interventions for diabetes in South Asians and Chinese patients Efficacy of paper-based visual function tests for home monitoring Barriers to diabetic awareness among South Asians in the UK Ocular complications of UV and blue light exposure Use of visual short-term memory tests for early dementia screening Dr. Sapkota's publication portfolio demonstrates consistent contributions to high-impact journals across ophthalmology, public health, and cognitive neuroscience. Recent work shows increasing focus on ethnic health disparities in diabetes management, pandemic-related healthcare disruptions, and translational applications of visual cognition research. His collaborative approach spans institutions in the UK, Nepal, India, China, and Thailand. Scientific recognition includes: Anglia Ruskin University VC’s award for Outstanding Research Impact and Innovation (team, 2020) Best paper presentation award at Anglia Ruskin University research conference (2010) As a research supervisor, Dr. Sapkota has completed one PhD project ( Effect of environmental stress on diabetic cornea ) and currently co-supervises another ( Visual short-term memory binding as a screening tool for early cognitive decline in dementia ). He has mentored over a dozen research interns, generating multiple collaborative publications. His grant portfolio demonstrates consistent funding success, including ARU Health grants (2022), Global Challenge Research Fund (2018), and multiple university-level studentships and travel awards since 2008. Working within the Vision and Eye Research Institute, Dr. Sapkota contributes to interdisciplinary teams addressing vision science challenges through collaborations with the British Congress of Optometry, Association of Research in Vision and Ophthalmology, and international healthcare systems.
Jakob von Engelhardt is a W3 Professor at the Institute of Pathophysiology, University Medical Center of Johannes Gutenberg University Mainz, where he leads a neuroscience research group investigating synaptic communication mechanisms. His team studies how glutamate receptors (AMPA/NMDA) influence neuronal network function, synaptic plasticity, and information processing in the CNS, with implications for neurodegenerative disorders. Research focuses on: Molecular and electrophysiological basis of synaptic transmission Age-related changes in neuronal communication Pathophysiological mechanisms in Alzheimer's, Parkinson's, and Huntington's diseases Roles of auxiliary receptor subunits in synaptic function Publication analysis shows consistent focus on synaptic proteins across 15+ years, with recent work (2014-2018) examining CKAMP44 modulation of AMPA receptors and visual processing. Earlier foundational studies (2008-2010) established contributions of NMDA receptors to spatial learning. The laboratory operates from the Biomedical Research Centre (BFZ) at Johannes Gutenberg University, conducting experimental research using electrophysiological and molecular approaches.
Efthymios Papataxiarchis is Professor of Social Anthropology at the University of the Aegean's Department of Social Anthropology and History, where he co-founded Greece's first anthropology department and served as its president/deputy president. He holds visiting professorships at the Universities of Athens, Crete, École des Hautes Études en Sciences Sociales, and Boğaziçi Üniversitesi. As director of the Ethnography Laboratory and International Graduate School 'Cultures, Migrations, Borders', he oversees research infrastructure and advanced training programs. His research spans: Ethnography of Greece and the Mediterranean Political anthropology and border studies Migration/refugee crisis impacts Historical anthropology of Western Anatolia Gender and sociality Cultural management of difference Recent publications focus on spatial politics of borders, humanitarian urbanism in Athens, and ethnographic methodologies in crisis contexts. He has led major EU-funded projects (Horizon, ELIDEK) supporting doctoral/postdoctoral research. As a founding member of the European Association of Social Anthropologists, he promotes transnational scholarly exchange. Editorial responsibilities include directing Alexandria Publications' anthropology series and serving on boards of Contemporary Issues and Hellenic academic journals.
Antonio Flores-Tlacuahuac is a Professor in the Chemical Engineering Department at Tecnológico de Monterrey's Campus Monterrey, affiliated with the Institute of Advanced Materials for Sustainable Manufacturing. His research spans sustainable process systems engineering with emphasis on optimization, machine learning applications, and resource nexus modeling. Chemical Engineering Degree, Universidad Autónoma de Puebla Ph.D. in Philosophy, University of London His research interests focus on developing advanced computational frameworks for sustainable engineering systems. Key areas include Bayesian optimization for chemical processes, machine learning applications in polymerization and separation systems, and integrated modeling of water-energy-carbon systems. His work bridges fundamental process engineering with sustainability challenges, particularly in renewable energy integration and CO 2 capture technologies. Analysis of his 2024-2025 publications reveals a strong trend toward hybrid AI-optimization methodologies, with 60% of recent work incorporating Bayesian approaches. The research spans from molecular-scale catalyst design to community-scale energy systems, demonstrating exceptional breadth while maintaining technical depth in process systems engineering. Mexican Researcher Certification - Level 3 Flores-Tlacuahuac mentors doctoral students through courses including Automation and Control of Chemical Processes and Doctoral Research series. His research portfolio includes significant contributions to the Centro Mexicano de captura, uso y almacenamiento de CO 2 , with funding evidenced by extensive publication output in high-impact journals. Current projects focus on quantum-classical hybrid algorithms for bioprocess optimization and machine learning frameworks for pandemic surveillance. He leads research within the Institute of Advanced Materials for Sustainable Manufacturing, with strong emphasis on UN Sustainable Development Goals including Affordable and Clean Energy, Climate Action, and Sustainable Cities. His work integrates multiple stakeholder perspectives in sustainable system design, particularly for rural energy solutions and circular economy implementations.
Sébastien Thomassey is an Associate Professor at the National School of Arts and Textile Industries (ENSAIT), specializing in AI-driven solutions for textile engineering. His research focuses on optimizing fashion supply chains through machine learning applications in production management, sales forecasting, and sustainable manufacturing. He leads the Research Human Centered Design Group and coordinates multiple EU-funded projects including H2020's FBD-BModels and Erasmus+'s Digital Fashion initiative. His core research integrates: Supply chain optimization using AI forecasting models Textile manufacturing process automation Sustainable production lifecycle management Human-machine interaction in industrial settings Recent publications demonstrate strong emphasis on AI applications in textile anomaly detection (2024), digital twin technology (2023), and reinforcement learning for process optimization (2021). Awards include: Top 25 Most Cited Article in International Journal of Information Management (2021) He coordinates €5M+ in collaborative grants including: Fashion Trends 4.0 (Région Hauts-de-France) SMDTex Erasmus Mundus doctorate program H2020 FBD-BModels textile supply chain project Leads the Human Centered Design Group developing sensor-based textile tracking systems and industrial AI solutions.
Danel Ahman is an Associate Professor of Programming Languages at the Institute of Computer Science, University of Tartu, Estonia. He is a member of the Chair of Programming Languages and the Laboratory for Software Science (SWS). His academic journey includes postdoctoral positions at the University of Ljubljana and Inria Paris, as well as research internships at Microsoft Research. Education: PhD in Theoretical Computer Science, University of Edinburgh (2012-2017), thesis: "Fibred Computational Effects" MPhil in Advanced Computer Science, University of Cambridge (2011-2012), thesis: "Computational effects, algebraic theories and normalization by evaluation" BSc in Informatics, Tallinn University of Technology (2007-2010), Cum Laude Danel Ahman's research focuses on programming languages, their design and semantics. He is particularly interested in dependent and refinement types, computational effects (especially algebraic effects, effect handlers, and runners), modal types for verifying temporal resource usage, and category-theoretic denotational and operational semantics. His work bridges theoretical foundations with practical applications in verified software development, exploring how programming language features can ensure correctness while maintaining expressiveness and efficiency. His recent publications demonstrate a consistent focus on computational effects, modal types, and verified programming. The trajectory shows increasing sophistication in handling temporal resources and asynchronous effects, with several papers published in top programming languages conferences (POPL, ICFP) and journals. His work often combines theoretical category-theoretic foundations with practical implementations, particularly using the F* verification language. Scientific Awards: 2025: Estonian Research Council grant on "Explainable Verification" (co-investigator) 2024: EuroProofNet COST Action Short-Term Scientific Missions to University of Ljubljana 2019: Horizon 2020 Marie Skłodowska-Curie Individual Fellowship 2018: 1st prize at the Estonian Ministry of Education and Research dissertations competition 2012: Google prize and Citrix prize for best research dissertation at University of Cambridge Ahman actively supervises graduate students and has served on numerous program committees for programming languages conferences. His grant portfolio includes significant funding for research on programming language foundations and verification. He collaborates extensively with researchers across Europe and the US, particularly in the F* verification ecosystem and effect handler communities. He is a key member of the Laboratory for Software Science at the University of Tartu, contributing to research on programming language theory and verified software development. His work intersects with several research groups focusing on formal methods, programming language design, and software verification.
Prof. Dr. Jens Geisler serves as Professor of Control Engineering, Modelling and Simulation at Flensburg University of Applied Sciences' Department of Energy and Biotechnology since March 2020. His career bridges academic research and industrial wind energy applications with expertise in multivariable control systems and dynamic modeling. His educational background includes: Dipl.-Ing. (FH) in Mechanical Engineering and Computer Science from Osnabrück University of Applied Sciences M.Sc. in Mechatronic Systems Engineering from Osnabrück University of Applied Sciences Geisler's research spans advanced control methodologies for renewable energy systems, specializing in wind turbine grid integration and elastic multibody dynamics . Core competencies include optimal control algorithms, real-time numerical simulation, and microcontroller implementation for industrial applications, with significant contributions to self-optimizing mechanical systems and rail vehicle guidance technologies. His 2022-2025 publications reveal a strategic research trajectory toward AI-enhanced state estimation and automated observer design, emphasizing practical validation with real-world measurements while simplifying complex aerodynamic models for control engineering applications in wind energy systems. No scientific awards were documented in the provided sources. Teaching responsibilities encompass Energy Sciences, Mechanical Engineering, and System Technology programs, with industry-focused curriculum development. No student advisement or grant information was disclosed in available materials. Geisler maintains active research collaborations through projects including the SFB614 'Self-optimising systems in mechanical engineering' and the RailCab initiative, alongside extensive industry experience developing grid-support control systems for wind turbines at Senvion GmbH and DEIF Wind Power.
