جست‌وجوی استاد و پژوهشگر

• Applied Probability
• Operations Research
• Computational Biology
• +۴ مورد دیگر

Hiroshi Toyoizumi is a Professor at Waseda University's Faculty of Commerce and Graduate School of Accountancy, with a Ph.D. in Mathematical Physics from Waseda University. His work bridges Applied Probability , Operations Research , and Computational Biology , focusing on stochastic modeling across biological and network systems. Research Interests Stochastic Models in Biology : Analyzing social queues in hover wasps and meiotic DSB regulation using quasi-birth-death processes and survival analysis. Network Security : Modeling computer virus spread on scale-free networks and proposing active defense strategies. Queueing Theory : Developing analytical frameworks for on-demand streaming, quantum merging, and blockchain-based systems. Article Trends Recent work (2020-2024) explores nonlocal diffusion , quantum queueing , and swarm behavior in financial markets . Mid-2010s studies focus on cooperative breeding and DNA recombination dynamics . Early papers (pre-2010) examine computer virus ecology , secure group communication , and deterministic queue analysis . Scientific Awards Biotechno 2013 Best Paper Award IEICE Switching Workshop SSE Research Award (1999) IEICE Young Research Engineer Award (1997) Teaching Activities Graduate-level courses in Operations Research and Financial Engineering . Undergraduate and graduate seminars in Applied Mathematics and Probabilistic Models .

Nicole Tillquistمشاهده پروفایل

پژوهشگر

• Ruminant Nutrition
• Maternal Nutrition Effects
• Fetal Development
• +۳ مورد دیگر

Nicole Tillquist is a Postdoctoral Research Associate at the University of Connecticut in the Department of Animal Sciences. She earned her BS (2018), MS (2020), and PhD (2023) in Animal Sciences from Colorado State University and the University of Connecticut, respectively. She works in Dr. Kristen Govoni’s lab, focusing on the impacts of maternal nutrition on fetal development and offspring health in ruminant species. Education: PhD in Animal Sciences, University of Connecticut (2023) MS in Animal Sciences, Colorado State University (2020) BS in Animal Sciences, Colorado State University (2018) Her research spans nutrient restriction effects on fetal small intestine development, mineral metabolism in ruminants, and how poor maternal diet impacts offspring growth, feed efficiency, and organ function. She investigates these mechanisms using sheep models to identify pathways like hormonal dysregulation, oxidative stress, and epigenetic modifications. Her recent work includes multigenerational studies on mitochondrial function and transgenerational effects of maternal nutrition on offspring immune status, glucose tolerance, and microbiome dynamics. She has presented award-winning talks on metabolic programming in sheep and antioxidant interventions in equine health. Scientific Awards: Awardee Talk: Poor Maternal Nutrition Impacts Metabolic Factors and Glucose Tolerance in Sheep Offspring (2022) Awardee Talk: Astaxanthin Supplementation Reduces Oxidative Stress in Polo Ponies (2022) Her work in Dr. Govoni’s lab integrates ruminant nutrition with developmental biology to address how maternal dietary choices program lifelong health in livestock species.

Shin Yooمشاهده پروفایل

استاد

• Software Testing
• Debugging
• Search-based Software Engineering
• +۷ مورد دیگر

Shin Yoo is a tenured Full Professor in the School of Computing at Korea Advanced Institute of Science and Technology (KAIST), where he leads the Computational Intelligence for Software Engineering (COINSE) research group. He received his PhD from King's College London in 2009 under the supervision of Prof. Mark Harman. Currently, he serves as the General Chair for ASE 2025, which will be held in Seoul, Korea. Professor Yoo earned his PhD in Computer Science from King's College London (2009), following an MSc in Software Engineering with Distinction from the same institution (2006). His academic journey includes positions as Tenured Associate Professor (2021-2025), Associate Professor (2018-2021), and Assistant Professor (2015-2018) at KAIST, as well as Lecturer and Research Associate positions at University College London and King's College London. His research focuses on the intersection of software engineering and artificial intelligence, particularly in search-based software engineering, software testing, automated debugging, SE4AI (Software Engineering for AI), and AI4SE (AI for Software Engineering). Professor Yoo's work bridges theoretical foundations with practical applications, developing innovative techniques for fault localization, test case generation, and debugging using machine learning and genetic programming approaches. His research has significant implications for improving software reliability and development efficiency in both traditional software systems and AI-powered applications. Professor Yoo's recent publications demonstrate a clear trend toward leveraging large language models and deep learning techniques for software engineering tasks. His work spans fault localization, automated debugging, GUI testing, and program analysis, with increasing focus on the challenges and opportunities presented by AI systems. His research shows a consistent evolution from traditional search-based software engineering to AI/ML-enhanced approaches, reflecting the broader trends in the field. ACM SIGEVO HUMIES Silver Medal (2017) for human competitive application of genetic programming to fault localization research IEEE TCSE Most Influential Paper Award (ICST 2024) for work on mutation-based fault localization Professor Yoo has supervised five PhD students to completion, with his former students now holding positions as assistant professors, post-doctoral researchers, and software engineers at institutions including Kyoungpook National University, Max-Planck Institute Security & Privacy, Università della Svizzera Italiana, Roku Korea, and NUS. He currently serves as an associate editor for the Journal of Empirical Software Engineering and ACM Transactions on Software Engineering and Methodology, and has held significant leadership roles in major software engineering conferences including Program Co-chair for SSBSE (2014), ICST (2018), and ICSE NIER track (2020), General Chair for SSBSE (2022), and Testing & Analysis Area Chair for ICSE (2024). As leader of the Computational Intelligence for Software Engineering (COINSE) group at KAIST, Professor Yoo directs research that combines computational intelligence techniques with software engineering challenges. The group focuses on developing novel approaches to software testing, debugging, and analysis using search-based and AI-driven methods. Their work spans both theoretical foundations and practical implementations, with strong connections to industry challenges and applications.

• Numerical Modeling
• Geotechnical Engineering
• Renewable Energy Systems
• +۳ مورد دیگر

Dr. Liang Cui is an Associate Professor at the University of Surrey , affiliated with the School of Sustainability, Civil and Environmental Engineering and Institute for Sustainability . With a PhD from University College Dublin (2006) and BE (1st honor) from Tsinghua University (2002) , his career spans geotechnical research and education since joining Surrey in 2009. Key roles: Undergraduate Programme Leader (2020-2022, 2023-on), MSc Programme Leader for Advanced Geotechnical/Civil/Structural Engineering (2022-2023) Professional memberships: Chartered Engineer (CEng), Member of Institution of Civil Engineers (MICE), Fellow of Higher Education Academy (FHEA) His primary research focuses on numerical modeling (DEM/FEM) for geotechnical applications including offshore wind foundations , geothermal energy systems , methane hydrate exploitation , and extra-terrestrial soil mechanics . Secondary interests involve material characterization of polymeric foams , porous media , and biological tissues . Recent 15 publications (2023-2025) demonstrate expertise in soil-structure interaction for renewable energy infrastructure, thermal feedback in groundwater heat pumps, and hypothesis-driven DEM simulations for lunar/martian environments. Collaborative projects span institutions including Tsinghua University , University of Bristol , and Indian Institute of Technology Bhubaneswar . Scientific Awards: Sustainability Fellow (University of Surrey, 2023) Chartered Engineer (CEng) and MICE FHEA for educational contributions Dr. Cui supervises 7 postgraduate researchers and contributes to teaching modules in soil mechanics and energy geotechnics. His work addresses challenges in hybrid marine energy systems , needleless drug delivery , and seismic resilience of critical infrastructure.

• Signal Processing
• Machine Learning
• Audio Engineering
• +۷ مورد دیگر

Archontis Politis is an Assistant Professor in the Department of Computing Sciences at Tampere University's Faculty of Information Technology and Communication Sciences. His research focuses on signal processing, machine learning, and their applications in audio engineering, particularly in spatial audio, sound source separation, and parametric audio coding. He explores topics such as Ambisonics, reverberation control, and neural network-based approaches for audio processing. His work emphasizes spatial audio reproduction, including six degrees of freedom (6DOF) rendering, microphone array processing, and efficient compression techniques for higher-order Ambisonics. He also investigates sound event localization and detection, leveraging machine learning for real-world acoustic scenarios. His contributions span theoretical advancements in spherical harmonics and practical implementations of spatial audio systems. Recent research highlights include developing datasets for music source separation, improving synthetic-to-real generalization in classical music, and creating neural encoding models for irregular microphone arrays. His methodologies often integrate deep learning with traditional signal processing to address challenges in multi-speaker environments and dynamic acoustic scenes.

Ya-Jane Wangمشاهده پروفایل

استاد

• Carbohydrate Chemistry
• Starch Chemistry
• Rice Quality
• +۳ مورد دیگر

Jane Wang is a Professor in the Department of Food Science at the University of Arkansas , where she has served since 1999, progressing from Assistant to Full Professor. She also holds the title of Director of the Experiment Station in the Department of Food Science. Her research focuses on starch structure-functionality relationships , rice quality , and biomaterial utilization , with over 120 refereed publications and 5 patents. Education: B.S. in Agricultural Chemistry (1986) from National Taiwan University , M.S. in Food Science (1989) from the University of Minnesota , and Ph.D. in Food Science (1992) from Iowa State University . Postdoctoral research in starch chemistry at Iowa State University (1993-1994). Research Interests: Jane Wang's work explores starch chemistry, rice processing optimization, and value-added applications of agricultural byproducts. She investigates how starch modifications affect food and pharmaceutical properties, with a particular focus on parboiling, germination, and enzymatic treatments. Her research also examines the impact of environmental factors on rice starch development and quality. Scientific Awards: Outstanding Departmental Research Award (2008) Outstanding Volunteer, IFT Carbohydrate Division (2007) Outstanding Mentor, University of Arkansas (2005) Grants & Professional Service: She has secured over $3M in research funding, including USDA-NIFA grants and industry contracts with more than 50 food companies. Jane has served on numerous academic committees (Patent, Promotion & Tenure, Curriculum) and held leadership roles in professional organizations like IFT and AACC. She has also acted as associate editor for Cereal Chemistry and Carbohydrate Polymers , and reviewed for multiple journals and agencies. Labs & Teams: Dr. Wang leads the Carbohydrate Research Program at the University of Arkansas, focusing on starch structure-functionality, rice fortification, and biomaterial development. Her lab collaborates with industry partners and academic institutions to advance food science applications.

Emily Callanderمشاهده پروفایل

استاد

• Health Economics
• Women's Health
• Maternal Health
• +۱۱ مورد دیگر

Emily Callander is a Professor of Women’s Health Economics at the Monash Centre for Health Research and Implementation, Monash University, and Head of Discipline in Health Services Management at the University of Technology Sydney (UTS). She leads the Women’s Economics and Value Based Care research program and holds leadership roles in national health policy, including as Vice President of Women's Healthcare Australasia and member of the Pharmaceutical Benefits Advisory Committee Economics Subcommittee. BA in Economics and Policy, Griffith University PhD in Health Economics, University of Sydney Postdoctoral training at NHMRC Clinical Trials Centre and Charles Perkins Centre, University of Sydney Her research focuses on maternal and women's health, utilizing linked administrative data, economic evaluation, and modelled analysis to influence health policy and delivery. Her work spans efficient staffing models, rural health access, national maternity initiatives (e.g., Safer Baby Bundle, Normal Birth Strategy), and cost analyses for global maternal health programs supported by the Gates Foundation. Her recent publications reflect a strong trend in health economic evaluations of maternity care models, medication use in pregnancy, digital health implementation, and preterm birth prevention. These works emphasize real-world applicability, equity, and cost-effectiveness, aligning with her mission to embed economic evidence into health systems. She has been supported by prestigious NHMRC awards, including a Doctoral Scholarship, Early Career Fellowship, and Career Development Fellowship. Her scientific contributions are recognized through active research projects and expert media commentary on maternity care policy. NHMRC Doctoral Scholarship NHMRC Early Career Fellowship NHMRC Career Development Fellowship Emily Callander advises on multiple national and international research projects, often as Chief or Associate Investigator, and collaborates with institutions such as Coventry University. She is actively accepting PhD students and contributes to policy through advisory roles in government and non-profit organizations. Her research is supported by grants from NHMRC, government departments, and international foundations. She leads the Women’s Economics and Value Based Care program at Monash and is a key member of the Transforming Maternity Care Collaborative. Her work is embedded in real-world health systems, partnering with consumers, providers, and policymakers to improve women’s health outcomes globally.

David Smithمشاهده پروفایل

استاد

• Microscale biological fluid dynamics
• Sperm motility and fertility modeling
• Cilia and flagellar mechanics
• +۵ مورد دیگر

David Smith is a Professor of Applied Mathematics at the University of Birmingham and Deputy Director of Research and Knowledge Transfer at the Engineering and Physical Sciences Healthcare Technologies Institute. He is renowned for his interdisciplinary research applying mathematical modeling to medicine and biology, particularly in microscale fluid dynamics of fertility, sperm motility, cilia mechanics, and mathematical endocrinology. Research Interests: Microfluid dynamics of fertility and reproduction, especially sperm motility and embryonic nodal cilia Mathematical endocrinology, including pharmacokinetics of cortisol and thyroid disease Development and application of regularized Stokeslets methods for biological flows Bayesian modeling for spectroscopic biomedical diagnostics Multiscale modeling in reproductive health and cell motility His recent publications span computational tools for viscous flow, dinoflagellate swimming, kinetic modeling of biochemical reactions, and Bayesian diagnostics using Raman spectroscopy, reflecting a broad and impactful interdisciplinary portfolio. Projects & Grants: Principal Investigator, EPSRC project on rapid sperm capture using imaging and machine learning (2016–2022) Co-Investigator, US Army and UK Ministry of Defence projects on traumatic brain injury biomarkers (2021–2028) Alan Turing Institute Turing Fellowship (2019–2020) EPSRC and Proctor & Gamble supported parameter estimation projects Smith chairs the editorial board of Mathematics in Medical and Life Sciences , has organized major conferences on bioactive fluids, and delivered keynote lectures on regularized Stokeslets methods. He currently supervises four PhD students and a postdoctoral fellow, welcoming new doctoral applicants.

Amy Cherie Ralstonمشاهده پروفایل

استاد

• Mouse Embryonic Development
• Pluripotent Stem Cells
• Cell Signaling Pathways
• +۳ مورد دیگر

Amy Cherie Ralston is a Professor at Michigan State University's College of Natural Science in the Department of Biochemistry & Molecular Biology , where she also serves as Associate Dean - Graduate Studies . Her research focuses on the genetic and molecular mechanisms governing early mouse embryonic development, particularly the specification of pluripotent and extraembryonic lineages. Education: Ph.D. in Zoology, University of Wisconsin (2004) B.A. in Biochemistry, Oberlin College (1995) Research Interests encompass mouse embryonic development, pluripotent stem cell regulation, HIPPO signaling pathway functions, and transcription factor dynamics during lineage specification. She has extensively studied the roles of OCT4, SOX2, Cdx2, and TEAD4 in developmental fate determination. Publications highlight trends in mouse blastocyst lineage segregation, stem cell maintenance mechanisms, and signaling pathway interactions. Notable work includes studies on HIPPO pathway members' restriction of pluripotency factors and culture condition impacts on developmental signaling. Students and Lab : Dr. Ralston leads the Ralston Laboratory, mentoring graduate and postdoctoral researchers in developmental biology and stem cell research. While specific student names aren't listed, her lab's work has produced significant insights into extraembryonic endoderm stem cell lines and transcription factor functions in reprogramming.

Daniel J Eckمشاهده پروفایل

استادیار

• Sports Analytics
• Evolutionary Biology
• Biostatistics
• +۴ مورد دیگر

Daniel J Eck is an Assistant Professor in the Department of Statistics at the University of Illinois Urbana-Champaign within the College of Liberal Arts & Sciences. His research focuses on statistical methodology development driven by collaborations in diverse fields such as sports analytics, evolutionary biology, economics, and biostatistics. He holds a PhD in Statistics from the University of Minnesota (2017) and a BS in Mathematics from Southern Illinois University Carbondale (2009). Education: PhD in Statistics, University of Minnesota, 2017 BS in Mathematics, Southern Illinois University Carbondale, 2009 His research interests emphasize methodological innovation in areas like envelope models, variance reduction techniques, and applications in sports and ecology. Recent work explores fire effects on plant fitness, soybean genomics, and infectious disease intervention design. He actively collaborates with researchers across disciplines and mentors graduate students in statistical methods. Eck teaches courses such as Baseball Analytics and Advanced Regression Analysis. Research Trends: His articles span statistical theory (e.g., envelope estimation), applied ecology (fire-pollination interactions), and sports analytics (player performance comparisons). He balances foundational methodology with practical applications in diverse domains. Advising & Grants: Eck advises graduate students on projects in evolutionary biology and economics. While specific grant details are not provided, his research reflects active engagement with funded collaborative projects. He maintains affiliations with the Department of Statistics and has ties to computational biology and public health initiatives. Labs/Teams: While no specific lab is mentioned, his work aligns with interdisciplinary teams at UIUC and Yale School of Public Health (prior postdoctoral affiliation).

• Animal Reproduction
• Reproductive Technologies
• Semen Assessment
• +۳ مورد دیگر

Professor Simon de Graaf is a globally recognized expert in animal reproduction, artificial breeding, and reproductive technologies at the School of Life and Environmental Sciences, The University of Sydney . He holds a BScAgr(Hons/Medal), PhD, and GradCertEducStud(Higher Education). As Secretary General of the International Congress on Animal Reproduction, his research has secured over $7.4M in funding and produced 80+ journal articles and book chapters. His research interests focus on optimizing reproductive outcomes in livestock, particularly sheep, with emphasis on semen assessment, climate impacts, and fertility enhancement. He has trained over 2,500 students in veterinary medicine and agriculture. Recent publications address fertility trends in Australian sheep, laparoscopic insemination success, and dietary effects on sperm quality. Awards include Fellowships from the Royal Society of NSW and the Society of Reproductive Biology. He leads projects funded by Australian Wool Innovation and collaborates with the Sydney Institute of Agriculture and Sydney Nano Institute. His work bridges academic research with industry applications, enhancing livestock productivity and sustainability.

• Poultry Science
• Precision Livestock Feeding
• Animal Nutrition
• +۵ مورد دیگر

Dr. Martin Zuidhof is a Professor in the Department of Agricultural, Food & Nutritional Science at the University of Alberta. His primary research focus is on Poultry Systems Modeling and Precision Feeding, particularly in optimizing broiler breeder management and energy partitioning. He holds a PhD in Animal Science from the University of Alberta and has pioneered transformative precision feeding systems that achieve unprecedented flock uniformity ( Education: PhD, Animal Science, University of Alberta Research Interests: Dr. Zuidhof’s work centers on advancing precision livestock systems through mathematical modeling (e.g., multiphasic growth models), optimizing pullet body weight for reproductive efficiency, and addressing societal concerns about animal welfare in poultry production. His innovations in precision feeding systems reduce nutrient waste while enabling precise metabolic studies. Publications: Over 50 peer-reviewed articles since 2004, spanning topics from energy partitioning to smart farming technologies. Recent work emphasizes low-cost sensor applications and Big Data integration in poultry systems. Teaching: Instructs courses like Applied Poultry Science (AFNS 571/AN SC 471) and Principles of Animal Agriculture , emphasizing experiential learning and critical scientific thinking. Grants/Advising: No explicit grants listed, but his research has received institutional support. No advisee names found in provided texts.

• Botany
• Molecular Biosystematics
• Plant Genetics
• +۷ مورد دیگر

Anna Maria Palermo is an Associate Professor in the Department of Biology, Ecology and Earth Sciences at the University of Calabria, where she specializes in General Botany (BIO/01). She has held this position since October 2022, following a long academic trajectory that includes serving as a confirmed researcher since 2004 and prior technical service from 1990 to 2004. She is actively involved in teaching, research, and academic governance, with no indication of retirement or departure. Education: Laurea in Scienze Biologiche, University of Naples (1986) Professional qualification as Biologist, University of Naples (1987) Her research interests lie at the intersection of molecular botany and cultural heritage conservation. She focuses on molecular biosystematics of Mediterranean flora, particularly rare and endemic species in Calabria, using techniques such as ISSR, RAPD, AFLP, microsatellites, DNA barcoding, and isoenzyme analysis. A second major research line involves the study of biodeteriogens —fungi, cyanobacteria, algae, and lichens—on both organic (paper, wood, parchment) and inorganic (stone, plastic) cultural artifacts. Her work includes developing green conservation methods, notably using titanium dioxide nanoparticles for biocidal and preventive treatments. Her recent publications highlight a strong engagement in orchid pollination biology , heritage biodeterioration , and molecular taxonomy . These works reflect interdisciplinary trends combining ecology, botany, and conservation science, often with applications to historical monuments in Southern Italy. Scientific Service and Recognition: Reviewer for international journals: Environmental Engineering and Management, Journal Plant Biology, Aerobiologia, Studies in Conservation, Journal of Fungi, Horticulture, International Biodeterioration & Biodegradation, Botanical Studies Member of the Scientific Secretariat of the PhD Program in Life Science and Technology (2021) Member of the Italian Botanical Society since 2007 Active participant in research groups on plant biology and conservation Anna Maria Palermo has supervised numerous Master's and PhD theses in Biological Sciences, Natural Sciences, and Cultural Heritage Conservation. She has participated in research projects, organized workshops, and collaborated with various institutions. She is a key member of the Plant Biology Research Group at the University of Calabria, specifically contributing to the section on Biosystematics, Conservation, and Botany in Cultural Heritage led by Prof. Giuseppe Pellegrino.

Oluwole O. Oniمشاهده پروفایل

مدرس

• Avian Health
• Veterinary Medicine
• Infectious Diseases
• +۹ مورد دیگر

Oluwole O. Oni is a Lecturer in Intensive Animal Health and Production at the University of Surrey's School of Veterinary Medicine. He holds academic qualifications including DVM, MVSc, and PhD. His research focuses on avian and poultry health, with a strong emphasis on infectious diseases, molecular diagnostics, zoonotic transmission, and biosecurity practices. Key studies include avian influenza seroprevalence in Benin, mycoplasma characterization in Nigerian poultry, and the impact of natural toxins like aflatoxin on poultry health. He has also contributed to understanding NDV and Marek's disease virus in Nigeria, and evaluates traditional herbal remedies on animal physiology. Research highlights include the design of efficient PCR primers for rotavirus detection and investigations into the epidemiology of avian pathogens across diverse farming systems. His work underscores the importance of gender-inclusive strategies in biosecurity for smallholder poultry farming in Benin, and he advocates for improved vaccination and diagnostic protocols in resource-limited settings. No scientific awards were explicitly mentioned in the text. His collaborative efforts span international teams, particularly in Nigeria and Ethiopia, and he emphasizes molecular approaches to disease control and poultry management. No specific grants or advisees are listed, but he has conducted studies on poultry vaccines, toxin mitigation, and haemoparasitic infections in livestock.

• Biostatistics
• Public Health
• Epidemiology
• +۹ مورد دیگر

Dr. Shuvo Bakar is a Senior Lecturer in the Sydney School of Public Health at the University of Sydney, within the Faculty of Medicine and Health. He holds a PhD in Statistics from the University of Southampton, UK, and has prior experience as an Assistant Professor at Yale University, Lecturer at the Australian National University, and Scientist at Data61 (CSIRO). His research focuses on statistical methods applied to public health challenges, including Bayesian hierarchical modeling, machine learning, spatio-temporal analysis, and their applications in epidemiology, clinical trials, and environmental health. Dr. Bakar's research interests span statistical methodologies such as Bayesian adaptive designs, small area estimation, and spatial risk modeling, alongside applications in child health, infectious diseases, and extreme weather impacts on health. He is an active member of academic communities, including the Royal Statistical Society (RSS Fellow), Statistical Society of Australia, and the Australian Trials Methodology Research Network. His work also involves collaborations on grants totaling millions in funding, addressing topics like climate change impacts on health inequity and cardiovascular disease prevention in remote regions. Education: PhD in Statistics (University of Southampton, UK) Key Research Themes: Obesity, Diabetes, Cardiovascular Disease; Reproductive, Maternal & Child Health Grants/Projects: Includes NHMRC-funded trials on respiratory infections in First Nations children and MRFF grants for cardiovascular risk reduction in regional Australia. Dr. Bakar's contributions extend to editorial roles for Nature Scientific Reports and Discover Public Health , and his research has been published in journals like PloS One , Climatic Change , and Journal of the Royal Statistical Society .