Björn Johansson is a Professor at Chalmers University of Technology, specializing in Production Systems. His research focuses on sustainability aspects of manufacturing through virtual tools, aiming to minimize environmental, social, and economic impacts. Key methodologies include flow simulation, dynamic environmental assessments, 3D visualization, and layout optimization. Primary research areas: Sustainable Manufacturing, Digital Twins, Environmental Impact Assessment Collaborations: Mélanie Despeisse, Henrik Söderlund, and others in automotive, battery production, and maritime industries His work emphasizes integrating digital technologies (e.g., VR, IoT) with sustainable practices, addressing challenges in supply chain resilience, human-robot collaboration, and circular economy models. Recent studies explore VR training environments, 5G-enabled manufacturing, and extended reality (XR) frameworks. Current projects involve 44 initiatives across battery systems, servitization, and digitalization for sustainability. Publications span 179 articles, including topics like digital twin implementation, ergonomic VR assessments, and hybrid simulation models for environmental analysis.
Renee DeHart is a Professor and Associate Dean for Student Affairs at McWhorter School of Pharmacy, Samford University. With over 15 years of experience in acute and ambulatory care practice before assuming her leadership role in 2012, she focuses on fostering professional and personal growth within a faith-based academic community. Education includes: PharmD, University of Florida MSW, Samford University Board Certified Pharmacotherapy Specialist Her research examines pharmacy student engagement, wellbeing, and mental health interventions. Recent publications analyze educational systems, organizational structures, and stress mitigation in pharmacy training environments. Awards and honors: Faculty Preceptor of the Year (2014, 2023) AACP Community Engaged Service Award (2014) ACCP Fellow (2008) Phi Lambda Sigma honor society (2003) Professional service includes leadership roles in APhA, ACCP, and AACP with focus on student services and diabetes care initiatives.
Tetsuya Sato is an Assistant Professor at Wichita State University's Fairmount College of Liberal Arts and Sciences, affiliated with the Human Factors Psychology Program. His research focuses on human-automation trust, attention allocation in multitasking environments, and advanced air mobility systems. He leads the SATO LAB, which explores topics like automation trust dynamics, cognitive workload management, and human-AI collaboration. Education: Ph.D. (2020), M.S. (2020), and B.S. (2018) in Psychology from Old Dominion University His work bridges cognitive psychology and engineering, addressing challenges in aviation autonomy and unmanned vehicle operations. Recent studies include entropy-based gaze analysis for attention measurement and meta-analytic approaches to trust-attention relationships. Current projects emphasize developing frameworks for human-centered AI and managing attentional resources in complex systems. The SATO LAB actively recruits undergraduates for Fall 2025.
Dr. Andria Procopiou is a Lecturer in Artificial Intelligence and Cybersecurity at the University of Central Lancashire Cyprus, serving as Course Leader for the MSc Computing program and Deputy Course Leader for the MSc Cybersecurity. She holds a PhD in Computer Science (City, University of London, 2022), an MSc in Human-Computer Interaction (University College London, 2014), and a BSc in Computer Science (University of Surrey, 2013). Her research spans AI applications in sports analytics, cybersecurity for smart cities/IoT, hate speech detection, and metaverse safety. She has led modules in User Experience Design, Penetration Testing, and Cybersecurity. Research interests include AI-driven solutions for sports injury prediction, real-time DDoS detection in IoT networks, and ethical challenges in the metaverse. Her work emphasizes explainable AI (XAI) for transparency in decision-making systems. She has published extensively in journals like Wireless Communications and Mobile Computing and conferences such as IEEE CYBER and the International Conference on Human-Computer Interaction. Education: PhD Computer Science (City University London), MSc HCI (UCL), BSc Computer Science (University of Surrey) Key Roles: Course Leader (MSc Computing), Deputy Course Leader (MSc Cybersecurity) Administrative Contributions: Module leadership in AI, Cybersecurity, and Digital Forensics Her recent publications address critical issues like privacy concerns in smart campuses, gender-based hate speech in virtual spaces, and injury patterns in professional football using data analytics. She collaborates with industry on IoT security solutions and metaverse governance frameworks.
Dr. Mohammad Nami serves as Associate Professor of Cognitive Neuroscience and Clinical Neuropsychology at the School of Health Sciences and Psychology, Canadian University Dubai. He concurrently directs the Brain, Cognition, and Behavior Unit at BrainHub UAE and maintains associate membership in the Harvard Medical School Alumni network. Previously, he held leadership roles as Head of Neuroscience Department and Vice Chancellor for Research at Shiraz University of Medical Sciences. His academic credentials include: PhD in Cognitive Neuroscience from Institute for Cognitive Science Studies Dr. Nami's research centers on the interdependence of mental health and sleep health, with primary expertise in cognitive neuroscience, clinical neuropsychology, and sleep disorder interventions. He advocates that cognitive and affective potential can only be fully realized through integrated sleep-mental health approaches, emphasizing neuro-cognitive fitness and neurological aspects of sleep pathologies. His work bridges clinical practice with neuroscience to develop practical interventions for cognitive optimization. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) Sleep-neuroscience interfaces using quantitative EEG for insomnia and sleep disorder diagnostics, (2) Cognitive performance assessment in safety-critical occupations like aviation and industrial control rooms, and (3) Neurocognitive rehabilitation techniques for stroke, cerebral palsy, and neurodegenerative conditions. His methodology frequently combines clinical trials with advanced neuroimaging and computational modeling. As an associate member of Harvard Medical School Alumni and Harvard Alumni Entrepreneurs, Dr. Nami contributes to academic-industry knowledge translation. The provided text does not reference specific scientific awards. With 173 peer-reviewed publications (H-index 27, i10-index 77 as of August 2025), his research program demonstrates significant scholarly impact. While student mentorship details are absent, his leadership of the Brain, Cognition, and Behavior Unit suggests active supervision of research personnel. His publication record indicates consistent grant funding, particularly for sleep-neuroscience and occupational safety projects. The Brain, Cognition, and Behavior Unit at BrainHub UAE functions as his primary research hub, conducting studies on sleep-cognition interactions, neurocognitive fitness metrics, and real-world applications of neuroscience findings. Current initiatives appear focused on digital health tools for stress management and neurophysiological monitoring in occupational settings.
Jonas Radlmayr is a Researcher at the Department of Ergonomics, Technical University of Munich, where he has been actively contributing since 2014 under Prof. Klaus Bengler's Chair. His work focuses on human factors in automated driving systems, with emphasis on driver-state modeling and transition-of-control mechanisms. Education: Diplom-Ingenieur (Master's equivalent) in Mechanical Engineering, Technical University of Munich (2013), specializing in Control Engineering and Ergonomics Radlmayr's research investigates critical human-automation interaction challenges in conditionally automated driving (Level 3). His work examines how driver drowsiness, non-driving tasks, and system reliability impact take-over performance during transitions of vehicle control. He has pioneered methodological frameworks including the Take-Over Performance Score (TOPS) for quantifying driver readiness and developed integrative models for drowsiness progression in automated contexts. His experimental designs address real-world challenges in human-machine interface validation and driver monitoring system development. Analysis of his 15 most recent publications reveals consistent focus on driver availability metrics, human factors in cut-in scenarios, and mental model formation regarding automation levels. The research demonstrates strong interdisciplinary connections between cognitive psychology, transportation engineering, and physiological monitoring, with recurring themes in usability evaluation frameworks and safety-critical transition protocols. As an integral member of TUM's Ergonomics Chair, Radlmayr utilizes advanced research infrastructure including the Dynamical Mock-Up, Modular Ergonomic Mockup, and Static Driving Simulator. His collaborative work with industry partners addresses practical implementation challenges in automated vehicle design while advancing theoretical understanding of human-automation teaming in transportation systems.
Markus Kötter is a Professor at the University of Siegen within Faculty I , specializing in Teaching English as a Foreign Language (TEFL) . His research focuses on vocabulary acquisition, inclusive education, formative assessment, and educational standards in early foreign language learning. Research Areas: Vocabulary integration, private speech analysis, formulaic language patterns, and inclusive pedagogical frameworks. Projects: Currently working on the Diagnose Englisch initiative with Klett publishers during his research semester in winter 2024/25. Publications span topics including: Vocabulary instruction in primary/secondary education Assessment methodologies and error analysis Technology-enhanced language learning (MOOs, CALL) Teacher education reforms (Praxissemester) Inclusive teaching practices and institutional challenges For courses, see his unisono.uni-siegen.de profile. Contact via koetter@anglistik.uni-siegen.de as he will be off-campus during the winter 2024/25 research semester.
Patrick Mitchell is a Professor of Neurosurgery at Newcastle University and an Honorary Consultant Neurosurgeon with the Newcastle upon Tyne Hospitals NHS Foundation Trust. His career is anchored in clinical neurosurgery, translational research and multi-centre randomised controlled trials, with over 150 peer-reviewed publications spanning more than two decades. Education and Training Details of undergraduate or postgraduate degrees are not explicitly listed in the supplied text; however, his long-standing academic and consultant appointments at Newcastle imply completion of UK higher surgical training and award of MD/PhD-equivalent research credentials. Research Interests Professor Mitchell’s work clusters into four major domains: Cerebrovascular Surgery & Interventions : natural history and treatment of intracranial aneurysms, arteriovenous malformations, and subarachnoid haemorrhage. Traumatic Brain Injury : decompressive craniectomy, intracerebral haemorrhage evacuation, and imaging biomarkers of outcome. Clinical Trials & Evidence-Based Neurosurgery : leadership roles in STICH (Surgical Trial in Intracerebral Haemorrhage), STITCH(Trauma), RESCUEicp, CENTER-TBI and other international RCTs and observational studies. Human Factors & Patient Safety : surgical error analysis, simulation training, and development of national safety curricula. Publication Themes Across 2020–2024 his papers focus on pandemic-related service reconfiguration, novel imaging metrics for haemangioblastomas, conservative management strategies for lumbar disc disease, and comprehensive scoping reviews on idiopathic intracranial hypertension. Earlier work (2010–2019) concentrated on RCT secondary analyses, surgical decision-making algorithms, and meta-analyses of decompressive craniectomy. Awards & Honours While specific honours are not enumerated in the text, sustained leadership of NIHR-HTA and European Union FP7 funded trials (STICH, RESCUEicp, CENTER-TBI) attests to national and international recognition. Grants & Funding National Institute for Health Research (NIHR) Health Technology Assessment Programme – multiple awards for STICH and STITCH(Trauma) trials. European Union FP7 – funding for CENTER-TBI longitudinal observational study. UK Medical Research Council (MRC) – support for imaging sub-studies within traumatic brain injury cohorts. Laboratory & Clinical Teams Professor Mitchell co-directs the Newcastle Neurosurgery Clinical Trials Unit and collaborates with the Regional Neurosciences Centre at the Royal Victoria Infirmary. He mentors neurosurgical trainees and research fellows within the Northern Deanery and is an active member of the Society of British Neurological Surgeons research committee.
Ziang Xiao is an Assistant Professor in the Department of Computer Science at Johns Hopkins University's Whiting School of Engineering and a member of the Data Science and AI Institute. His research bridges human-computer interaction, natural language processing, and social psychology to understand human behavior at scale through AI systems. His educational background includes a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (co-advised by Prof. Hari Sundaram and Prof. Karrie Karahalios), where he also earned dual Bachelor's degrees in Psychology and Statistics & Computer Science under Prof. Dov Cohen. Prior to joining JHU, he was a postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics group at Microsoft Research Montréal. Xiao's research focuses on three interconnected areas: AI for Social Science (using LLMs to simulate human behavior), Human-centered Model Evaluation (developing frameworks like ECBD for evidence-centered benchmark design), and Information Seeking (studying how AI systems affect information diversity). His work emphasizes democratizing technology to operationalize human intuitions about behavior and decision-making, with notable contributions to LLM evaluation metrics and ethical AI design. Analysis of his recent publications reveals a strong trend toward human-centered AI evaluation, with increasing focus on LLM safety, value alignment, and interdisciplinary applications across social science domains. His work consistently appears in top-tier venues including CHI, ACL, and NeurIPS, with a 2024 CHI Best Paper Award for research on LLM-powered search systems. Best Paper Award at CHI 2024 for 'Generative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information Seeking' Multiple publications in ACM/IEEE flagship conferences (CHI, ACL, NeurIPS) Research featured in Johns Hopkins news for social robot interruption handling and chatbot bias studies Xiao actively advises doctoral students and postdocs, with current advisees including Yu Lu Liu, Nikhil Sharma, and Han Jiang. His teaching includes graduate courses on Human-Computer Interaction and Advanced HCI Research Methods. He co-leads research initiatives at the intersection of AI and social science, collaborating with the Data Science and AI Institute to develop frameworks for responsible AI deployment. Current projects examine LLM vulnerabilities in GUI agents, multilingual information disparities, and adaptive decision support systems that balance automation with user control.
Victor Paredes Hernandez is a Professor at UCJC University 's HM Faculty of Health Sciences since 2014. He holds a PhD in Physical Education and Sports Sciences (2009, UAM) with Cum Laude distinction and ANECA accreditation (2018). His career spans teaching, research, and professional football physical training. PhD in Physical Education and Sports Sciences (UAM, 2009) Certified Spanish Association of Sports Medicine (CCAFD) Doctoral accreditation with two six-year research periods (ANECA, 2011-2017; 2018-2024) His research focuses on physical performance evaluation , training load analysis , and injury prevention . He combines quantitative and qualitative methods to optimize sports training processes and address motor education challenges in performance contexts. Recent publications highlight advancements in hamstring rehabilitation , muscle injury risk analysis , and GPS-based performance monitoring . His work bridges academic research with practical applications in professional football. Quality and Transfer of Results Award (UPM-INEF, 2012) INEF Student Training Award (UPM-INEF, 2015) As a physical trainer , he has collaborated with top coaches like Julen Lopetegui and Raúl González at clubs including Real Madrid CF and Rayo Vallecano . He has supervised numerous Master's and Doctoral Theses while authoring five books on sports training and rehabilitation.
Susan Braedley is a Professor at Carleton University's School of Social Work , focusing on long-term care policy, equity in aging, and feminist political economy applications to care work. Her research examines intersections of race, class, immigration, and gender in caregiving practices. Co-leads SSHRC-funded project Bordering Aging, Bordering Care (2023-25) SSHRC Partnership Grant co-investigator in Age-Friendly Communities initiative P.I. for Advancing Access to Mental Health Care in LTC collaboration with Bruyere Institute Her recent publications analyze social reproduction theory , privatization impacts on LTC, and worker autonomy issues. Key themes include: Welfare state approaches to eldercare Staffing and labor conditions in care homes Anti-racist frameworks for care policy Gendered labor in healthcare As a leading voice in LTC reform, Braedley has published extensively in journals like Journal of Labor and Society and Social Politics , while creating digital stories to mobilize research findings.
Professor Amir Michael serves as Professor of Accounting and Head of the Accounting Department at Durham University Business School, while directing the Durham Rutgers Accounting Analytics Network (DRAAN). Previously, he held leadership roles as Associate Dean for MBA/DBA and Director of the Durham MBA (Full Time) programme. His research centers on data-driven auditing and reporting, with specific expertise in Audit Data Analytics, Corporate Governance, and Accounting Education technology adoption. Key interests include improving audit transparency through artificial intelligence and examining voluntary financial disclosures within weak institutional environments. His work bridges theoretical accounting frameworks with practical applications in emerging markets, particularly Bangladesh. Recent publications reveal a strong focus on performance auditing evolution, behavioral aspects of audit time management, and board diversity impacts. His research consistently applies longitudinal methodologies to examine corporate reporting practices, with increasing emphasis on data analytics solutions for audit quality enhancement since 2019. Professor Michael actively supervises eight PhD candidates and pioneered the government-recognized BSc in Accounting (KPMG/ICAEW) School Leavers Programme, cited in the House of Commons and Wilson Review as a model for business-university collaboration. His student-centered teaching philosophy integrates research findings directly into classroom practice, emphasizing collaborative learning approaches.
Dr. Wigdan H. Farah is a board-certified Pulmonary and Preventive Medicine physician at Mayo Clinic College of Medicine in Rochester, Minnesota. She holds dual certification from the American Board of Internal Medicine in Pulmonary Disease and the American Board of Preventive Medicine in Public Health. Dr. Farah completed her medical degree at Ahfad University for Women in Sudan, followed by Internal Medicine residency at Saint Joseph Mercy Health System in Michigan. She then pursued dual fellowships in Preventive Medicine and Pulmonary Diseases at Mayo Clinic, where she also earned a Master of Public Health from the University of Minnesota. Her research focuses on personalizing care for chronic lung diseases using phenotypic profiling and biomarkers, developing implementation science programs to improve lung cancer screening access, and addressing health disparities. Dr. Farah has published extensively on occupational lung diseases, infectious disease responses including SARS-CoV-2 transmission patterns, and community-acquired pneumonia. Analysis of her recent publications reveals consistent focus on health disparities, particularly in vaccine uptake and influenza outcomes by race/ethnicity, and occupational lung diseases including fatal asthma in cannabis production. Her work frequently employs systematic review and meta-analysis methodologies across pulmonary medicine, infectious diseases, and preventive medicine. Her notable awards include: 2024/2025 Arizona Approaches to Equity Scholar from the National Heart, Lung and Blood Institute 2023 CHEST Diversity Travel Grant 2021 APTR-AHRQ Preventive Medicine Rotation Scholarship Award 2020 Charles Craig, MD, Outpatient senior resident of the year award Dr. Farah actively contributes to multiple professional organizations including the American College of Chest Physicians, American Thoracic Society, and American College of Occupational Medicine. Her work bridges clinical practice, research, and public health policy to improve lung health outcomes with particular attention to health equity.
Amine Mhedhbi is an Assistant Professor at Polytechnique Montréal in the Department of Computer Engineering and Software Engineering. He is affiliated with the Institute for Data Valorization (IVADO) and the Software Engineering for Machine Learning Applications (SEMLA) group. His research focuses on data management systems, particularly graph-structured databases, multimodal data engineering, and AI-driven query optimization. Ph.D. in Computer Science from University of Waterloo Former technical advisor to enterprise companies Prior applied research leadership at Distyl AI and internships at Microsoft Research His recent work explores integrating large language models (LLMs) into database systems, optimizing SQL generation, and advancing graph database architectures. Key projects include GraphflowDB and FlockMTL , addressing scalability and declarative semantic applications. Scientific awards include: NSERC Discovery Grant with Discovery Launch Supplement (2025) Cheriton School Distinguished Dissertation Award (2024) Microsoft Research Ph.D. Fellowship (2020) VLDB Best Paper Award (2018) He supervises graduate students in database systems and machine learning applications and serves on program committees for top-tier conferences like VLDB and SIGMOD.
Hoa Khanh Dam is Professor and Deputy Head of School (Research) & Head of Postgraduate Studies in the School of Computing and Information Technology at the University of Wollongong, Australia. He serves as Co-Director of the Decision System Lab where he leads research at the intersection of Software Engineering and Artificial Intelligence. His research focuses on developing AI-driven solutions for software quality, cybersecurity, and productivity enhancement. Key interest areas include: AI/IoT autonomous and cyber resilient systems Software Analytics and Mining Software Repositories Large Language Models for software engineering tasks Defect prediction and vulnerability analysis Agile project management optimization Analysis of Dam's 12 publications from 2018-2025 reveals consistent application of machine learning to software engineering challenges. His work shows progressive evolution from traditional ML techniques toward LLM-based frameworks, with major contributions in defect prediction (DeepJIT), vulnerability analysis, microservice recommendation, and agile effort estimation. The research demonstrates strong industry relevance through practical implementations in code review, component prediction, and security systems. Dam co-leads the Decision System Lab at UOW, which develops intelligent decision support systems using AI and data analytics. The lab's work bridges theoretical AI advancements with real-world software engineering applications, particularly in cybersecurity and autonomous systems development.
