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Muhammad NaeemView profile

Researcher

• Epidemiology
• Clinical Epidemiology
• Metabolic Diseases
• +4 more

Muhammad Naeem is a Postdoctoral Researcher at the Institute of Community Medicine, University Medicine Greifswald, specializing in epidemiological investigations of metabolic diseases. His primary affiliation is with Till Itterman's Lab within the Study of Health in Pomerania (SHIP) consortium, with additional affiliations at the Max Planck Institute for Demographic Research and DGepi (German Society for Epidemiology). Previously associated with the Department of Zoology at University of Malakand, Pakistan, his research bridges population health and clinical medicine. Dr. Naeem's research focuses on the epidemiology of metabolic disorders, with particular emphasis on body composition analysis , hepatic/splenic volume assessment , and their relationships with diabetes, cardiovascular risks, and mortality. His work uniquely compares measurement modalities (anthropometry, bioelectrical impedance, MRI) to determine optimal biomarkers for disease prediction. Current investigations examine sex-specific lipid mediator effects, organ volume-fitness relationships, and longitudinal inflammatory dynamics. His publication record shows significant productivity with 12 peer-reviewed articles (2016-2025), including 8 in the last three years. Analysis of his recent work reveals a strong trend toward multimodal assessment of body composition and organ volumes as predictors of metabolic disease, with increasing methodological sophistication in longitudinal and sex-stratified analyses. Research consistently leverages the SHIP cohort's rich dataset combining clinical, imaging, and biochemical parameters. Member of DGepi (German Society for Epidemiology) Affiliated with Max Planck Institute for Demographic Research Active contributor to SHIP study consortium Dr. Naeem's research program demonstrates robust institutional support through access to the SHIP cohort infrastructure, including advanced imaging facilities and population databases. His collaborative network spans multiple German research institutions and international partners, facilitating comprehensive investigations into metabolic disease pathways. The lab environment emphasizes rigorous epidemiological methods and translational applications of population findings to clinical practice.

• Programming Languages
• Programming Language Design
• Programming Language Semantics
• +11 more

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.

• Neuroimmunology
• Sleep Research
• Chronobiology
• +3 more

Dr. Estefanía Martínez Albert is a Researcher in the Neuroimmunology department at the Leibniz Research Centre for Working Environment and Human Factors (IFADO) in Dortmund, Germany. She works within the Immunology research division under the leadership of Prof. Dr. Carsten Watzl and maintains active research contact through phone (+49 231 1084-417) and email (martinez-albert@ifado.de). Dr. Martínez Albert's research program focuses on the complex interplay between sleep physiology, circadian rhythms, and immune function. Her work integrates neuroimmunology, sleep medicine, and behavioral neuroscience to investigate how sleep patterns influence T-cell migration, hormone regulation, and susceptibility to both infectious diseases and mental health conditions. She employs a multidisciplinary approach combining experimental laboratory methods with epidemiological analyses to unravel the physiological mechanisms linking sleep quality with health outcomes. Her recent publication record (2022-2025) reveals a cohesive research trajectory examining bidirectional sleep-immune interactions. Key themes include hormonal mechanisms of sleep-enhanced immune function, nonlinear relationships between chronotype and depression symptoms, and epidemiological associations between sleep parameters and disease risk. Her work has appeared in high-impact journals including Proceedings of the National Academy of Sciences, Brain, Behavior, and Immunity, and Scientific Reports, demonstrating methodological rigor across experimental and population-based approaches. Dr. Martínez Albert collaborates extensively with a research network including Besedovsky L, Born J, and other colleagues in the German sleep research community. Her findings have significant implications for understanding how optimizing sleep patterns might enhance immune responses, reduce infection susceptibility, and improve mental well-being, potentially informing clinical interventions for sleep-related health issues.

• Photovoltaics
• E-mobility
• Electrical Engineering
• +2 more

Roger Buser is a part-time Lecturer at Lucerne University of Applied Sciences and Arts (HSLU), affiliated with the Institute for Building Services and Energy (IGE) and the Center for Integrated Building Services (ZIG) since 2016. He holds an 80% workload role focused on electrical engineering in building services, while concurrently conducting electrical inspections at az-technics and volunteer solar education initiatives in Ethiopia. Education & Career Vocational Training : Electrician apprenticeship (1984–1988) and Electrical Engineering diploma from Higher Technical College Muttenz (1988–1991). Professional Development : Vocational teaching certification from Swiss Institute of Vocational Education (1996–1998). Prior Roles : Vocational school teacher and IT manager at Berufsbildungszentrum Fricktal (1996–2016), where he pioneered programs for gifted students and solar installer training. Research & Innovation Buser leads projects in renewable energy and building technology, including: Development of the research facility 'GEE Live' for building services engineering. EVO-Tool (self-consumption optimization software) and GreenPV (building envelope potential analysis). International solar education modules in Africa and bidirectional EV charging systems. Awards & Leadership Swiss Solar Prize 2017 for promoting solar education via Sahay Solar. President of Solar Education Switzerland and contributor to SIA Leaflet 2063 on energy management. HSLU Mobility Manager since 2019, advocating sustainable transport integration.

Gunhild Tidemann OkholmView profile

Researcher

• Medical Psychology
• Cognitive Decline
• Intelligence Research
• +7 more

Gunhild Tidemann Okholm serves as a Postdoc and Guest Researcher in the Department of Public Health, Section of Environmental Health at the University of Copenhagen's Faculty of Health and Medical Sciences. Her work bridges public health, psychology, and epidemiology with a focus on cognitive research. Okholm holds a background combining public health with psychology and epidemiology. Her primary research explores the bidirectional relationship between psychological characteristics and health, with special emphasis on intelligence as a predictor of somatic and psychiatric diseases. She has extensive experience with large register-based studies and advanced epidemiological methods including sibling comparison designs. Her current research vision focuses on identifying psychosocial, pharmacological and disease-related predictors of cognitive decline and development. Her recent publications demonstrate a strong focus on cognitive function across the lifespan, examining factors like diabetes, depression, substance use, and environmental exposures. Her work frequently employs large Danish cohort studies and register data, with particular attention to longitudinal changes in cognitive abilities from early adulthood to late midlife. Okholm actively contributes to academic supervision and teaching within the Faculty of Health Sciences. She has co-supervised 7 BSc and MSc students since 2019 and teaches medical psychology across multiple programs including Medicine, Public Health Sciences, Odontology, and the Master's program in Health Science. She is currently the Co-PI of the DiaKO-19 study (n=2661), which investigates the influence of type 2 diabetes and depression on cognitive decline. This study re-assessed cognitive abilities of men who completed the Børge Priens Prøve intelligence test at conscription (mean age 19) and again at follow-up (mean age 67).