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Losa MarcoView profile

Associate Professor

• Neurosurgery
• Pituitary Adenomas
• Radiosurgery
• +3 more

Losa Marco is an Associate Professor at Vita-Salute San Raffaele University, specializing in Neurosurgery with a focus on pituitary adenomas and neuro-oncological disorders. He previously held research positions at TU München (1983–1987) and the San Raffaele Scientific Institute (1993–1999). His research emphasizes advanced surgical techniques like Gamma Knife radiosurgery, bone comorbidities in endocrine disorders, and comparative studies of endoscopic vs microscopic approaches in pituitary surgery. Key research areas include pituitary tumors, neurosurgical oncology, bone metabolism in hormonal disorders, and surgical innovation. He has published extensively on topics such as recurrent pituitary adenoma management, craniopharyngioma treatment, and vertebral fracture detection in endocrine patients. His work integrates clinical practice with multidisciplinary approaches, particularly in managing acromegaly and prolactin-secreting tumors. Publications highlight a trend toward evidence-based comparative studies (e.g., endoscopic vs microscopic approaches) and translational research bridging surgical outcomes with endocrine pathology. Collaborative international studies underscore his contributions to standardized diagnostic protocols (e.g., bilateral sinus sampling) and clinical efficacy assessments.

• Conservation Biology
• Primate Behavior
• Urban Ecology
• +3 more

Maren Huck is a Senior Lecturer in Conservation Biology and Ecoscience at the University of Derby's College of Science and Engineering. Her interdisciplinary research spans primate socioecology, urban carnivore behavior, and conservation biology. Fieldwork encompasses diverse ecosystems from Argentine forests to UK urban environments, with primates and domestic cats as frequent research subjects. Key research domains: Behavioral ecology of Azara's owl monkeys in Argentina Impact assessment of domestic cats on wildlife Urban badger ecology and spatial dynamics Conservation status of trafficked night monkeys Freshwater mussel behavioral responses Methodological innovations include animal-borne cameras for felid tracking, acoustic biodiversity monitoring, and meta-analyses of predation assessment techniques. Research in the Humid Chaco contributes to understanding mammalian activity patterns and moonlight-mediated predation dynamics. No awards or specific student relationships are documented. Collaborative work spans international teams studying coral reef resilience under fishing pressure and primate vocal dimorphism.

• Biochemistry
• Organic Chemistry
• Molecular Biology
• +3 more

Mrinal K. Bhattacharjee serves as Associate Professor of Chemistry and Biochemistry at Long Island University's Brooklyn campus, where he conducts research spanning molecular mechanisms of bacterial pathogens and antibiotic discovery. Previously, he held positions as Associate Research Scientist at Columbia University and Adjunct Associate Professor roles at Fordham University and Yeshiva University, establishing a career trajectory focused on microbial biochemistry and therapeutic development. His academic foundation includes B.S. and M.S. degrees from the Indian Institute of Technology (Kharagpur, India) followed by Ph.D. studies at The Ohio State University, with post-doctoral training completed at the University of Texas at Austin. This educational background underpins his dual expertise in organic chemistry and molecular microbiology. Research interests center on Biochemistry, Organic Chemistry, Molecular Biology, and Microbiology with specialized focus on periodontal pathogens like Aggregatibacter actinomycetemcomitans. His work examines bacterial conjugation mechanisms, adhesion properties, and inhibition through natural compounds including Maillard reaction products and plant-derived antibiotics. Recent investigations explore preferential killing of slow-growing bacteria by rhubarb and myrrh compounds, addressing persistent infection challenges. Publication analysis (2025-2018) reveals systematic antibiotic research covering nucleic acid synthesis inhibitors, protein synthesis disruptors, and membrane-targeting agents. His natural product studies identify compounds with unique activity against non-growing bacteria, suggesting novel approaches for antibiotic-resistant infections. The 2018 vitamin D/IVF study indicates collaborative expansion into reproductive medicine.

Marc-Thorsten HüttView profile

Professor

• Computational Systems Biology
• Mathematics
• Physics
• +5 more

Prof. Marc-Thorsten Hütt is a Professor of Computational Systems Biology at the School of Science, Constructor University Bremen gGmbH. His research integrates mathematical, physical, and computational approaches to understand biological systems, including gene regulatory networks, metabolic systems, and neural dynamics. He leads a research group focused on systems biology, network analysis, and interdisciplinary applications in medicine and environmental science. His work bridges theoretical frameworks with experimental data, addressing challenges in bioinformatics, epigenetics, and complex systems. Research interests include the interplay between network topology and dynamics, particularly in excitable systems and biological networks. Notable contributions involve analyzing microbial interaction networks, perturbation therapies for neurodegenerative diseases, and the impact of environmental factors on marine ecosystems. Recent studies explore interdisciplinary citation patterns and machine learning applications in network inference. His publications span computational biology, neuroscience, and network theory, with a focus on attractor analysis, node centrality, and systems-level modeling. The most recent work addresses sampling bias in networks and 5G radiation effects on cellular genetics. Despite extensive contributions, no specific awards are listed in the provided texts. Prof. Hütt collaborates with industry on steel production optimization and maintains a research group active in bioinformatics and systems medicine. His lab's work is accessible via his research website .

Giuseppe Di FattaView profile

Professor

• Machine Learning
• Data Science
• Data Mining Algorithms
• +3 more

Giuseppe Di Fatta is a full professor at the Faculty of Engineering of the Free University of Bozen-Bolzano since 2022. Previously, he served as Head of the Computer Science Department at the University of Reading (2016-2021) and contributed to KNIME's early development at the University of Konstanz (2004-2006). His research focuses on machine learning algorithms, data science tools, and interdisciplinary applications in science and industry. He actively participates in IEEE SMC Society's Technical Committee on Machine Learning. He teaches courses such as 'Codeless Machine Learning in KNIME' and 'Data-Driven Decision Making' in the Doctoral Program in Computer Science. His work integrates advanced methods like multi-task learning, transfer learning, and data-driven healthcare solutions. He leads projects such as the 5VREAL volleyball analytics initiative and contributed to BodyCloud, a cloud-assisted platform for wearable device monitoring. Recent research trends include optimizing deep learning models for imbalanced datasets, applying AI to Alzheimer’s disease prediction, and developing scalable data mining techniques for edge computing systems. His publications span topics from neural network optimization to financial market analysis. Key Projects: BodyCloud, 5VREAL, KNIME integration Professional Roles: IEEE SMC TC-ML member, former Head of Computer Science (Reading) Teaching: Doctoral, master's, and bachelor's programs in data science and computer science Collaborations: EU projects, industry partnerships in healthcare and sports analytics

Alejandro Morales SierraView profile

Lecturer

• Computational Modeling
• Crop Production
• Plant Physiology
• +7 more

Dr. Alejandro Morales Sierra is a Lecturer and Researcher at the Centre for Crop Systems Analysis (CSA) at Wageningen University. He holds a double MEng in Forestry and Agronomy from the University of Córdoba, Spain, an MSc in Plant Sciences, and a PhD from Wageningen University, focusing on plant photosynthesis modeling funded by IPOP Systems Biology and Biosolar Cells programs. His postdoctoral work involved NWO-funded research on abiotic stress impacts on plant development. His research integrates computational tools with crop science, emphasizing functional-structural plant modeling, climate change effects on crops (e.g., cocoa), and invasive species risk modeling. He advocates open science and programming literacy in research. Key contributions include developing the Virtual Plant Laboratory in Julia and advancing methodologies linking data with scientific models. His expertise spans crop production, plant physiology, machine learning, and mathematical modeling. Current projects explore cereal-legume intercropping microclimate interactions and nitrogen-optical-photosynthesis relationships in crops. He teaches advanced data analysis and modeling courses, contributing to MSc programs in crop science.

Zeng-jie YangView profile

Professor

• Pediatric Oncology
• Neuro-Oncology
• Epigenetics
• +3 more

Zeng-jie Yang, MD, PhD, is a Professor at the Nuclear Dynamics and Cancer Program within the Fox Chase Cancer Center, part of Temple University Health System. His primary research focuses on understanding the cellular and molecular mechanisms underlying pediatric brain tumors, particularly medulloblastoma and neuroblastoma, with a focus on epigenetic regulation, tumor microenvironment interactions, and therapeutic strategies. Dr. Yang's education includes a Medical Degree from unknown institution, a PhD in Neurogenetics from the University of Nottingham (2005), and a Master's in Genetics from Fudan University Medical Center (2000). He completed a postdoctoral fellowship in Cancer Biology at Duke University Medical Center (2005–2010). Research Interests: Molecular mechanisms in neuronal progenitor differentiation and cerebellar development Epigenetic and genetic drivers of medulloblastoma and neuroblastoma progression Role of tumor microenvironment and stromal interactions in brain tumor growth Development of differentiation therapy for pediatric brain tumors Awards & Recognition: 2023 European Patent Office Award for Exosome Analysis and Brain Tumors Advising & Team: Current advisees include Tamara Kirukhina, Elvina Shagieva, and Kallie Dalton Laboratory team includes senior researchers like Yijun Yang and Ping Feng Zhang Lab Focus: The Yang Lab investigates innovative treatments targeting tumor cell differentiation, epigenetic modifiers, and tumor microenvironment modulation. Current projects explore thyroid hormone-induced differentiation therapy and cholesterol biosynthesis as therapeutic targets.

Robbie BaldockView profile

Senior Lecturer

• DNA Repair
• Mitochondrial Biology
• Pharmacology
• +4 more

Dr. Robbie Baldock is a Senior Lecturer and Associate Head (Employability & Placements) at the University of Portsmouth , where he leads the Baldock Laboratory in the School of Medicine, Pharmacy and Biomedical Sciences . His career spans roles at Solent University (Lecturer/Senior Lecturer), University of Gloucestershire, and University of Pittsburgh (postdoctoral research). He holds a PhD from the University of Sussex and is a Senior Fellow of the Higher Education Academy . Current leadership role: Associate Head (Employability & Placements) Academic institutions: University of Sussex (undergraduate), University of Pittsburgh (postdoc) Professional affiliations: Biochemical Society Local Ambassador, Genes Research Area Panel, Early Career Advisory Panel His research interests focus on DNA repair mechanisms in both nuclear and mitochondrial genomes, antibiotic-induced mitochondrial toxicity , and the role of hydroquinine in bacterial resistance . He also explores augmented reality (AR) in bioscience education to enhance student engagement and accessibility. Recent research outputs highlight trends in antibiotic resistance (e.g., efflux pump regulation in Pseudomonas aeruginosa ), mitochondrial DNA protection , and AR applications in education . His 2024 work on machine learning for COVID-19 detection via X-rays demonstrates interdisciplinary innovation. Scientific awards include: Senior Fellow of the Higher Education Academy (AdvanceHE) Dr. Baldock supervises self-funded PhD students and actively participates in degree program validation and external examining (University of Plymouth). His lab at Portsmouth leverages state-of-the-art equipment for fluorescence analysis, flow cytometry, and cell culture studies.

Ali CinarView profile

Professor

• Complex Adaptive Systems
• Biomedical Engineering
• Control Systems
• +4 more

Ali Cinar is a Professor of Chemical Engineering and the Hyosung S. R. Cho Endowed Chair in Engineering at Illinois Institute of Technology (IIT), within the Armour College of Engineering. He directs the Engineering Center for Diabetes Research and Education (ECDRE), the first U.S. engineering center focused on diabetes treatment. His research spans complex adaptive systems, biomedical system modeling, and manufacturing process control. Cinar holds a Ph.D. from Texas A&M University (1976), with earlier degrees from Texas A&M and Robert College, Istanbul. His research focuses on developing algorithms for artificial pancreas systems, integrating wearable sensor data, and improving glucose control in diabetes. Notable projects include multivariable control systems that address meal intake, physical activity, and psychological stress. He has authored over 100 publications and co-authored books on chemical process control and biopharmaceutical manufacturing. Cinar is a Fellow of the American Institute of Chemical Engineers (AIChE) and has received awards such as the Ernst W. Thiele Award (2003) and the W. M. Langdon Award for Excellence in Teaching (1987, 1996). His work is supported by grants from NIH, JDRF, and NSF, advancing technologies like adaptive model predictive control and AI-driven diabetes management systems. His lab, ECDRE, collaborates with universities and institutions to develop next-generation diabetes care solutions. Current efforts include machine learning for stress detection, multivariable insulin delivery systems, and open-source simulation tools like py-mgipsim.

Kamyar AsadipooyaView profile

Assistant Professor

• Endocrinology
• Diabetes
• Infectious Diseases
• +3 more

Kamyar Asadipooya, MD is an Assistant Professor in the Department of Internal Medicine at the University of Kentucky. His research focuses on endocrine disorders, diabetes, infectious diseases, and bone-related conditions. He has explored the interplay between metabolic syndrome, bone quality in chronic kidney disease (CKD), and the effects of SARS-CoV-2 on endocrine systems. His work includes clinical trials evaluating drug combinations (e.g., spironolactone and sitagliptin) for treating severe COVID-19 cases, as well as systematic reviews analyzing outcomes for patients with type 1 diabetes during the pandemic. Notable studies include investigations into m6A RNA modifications in endocrine pathophysiology and the role of adipokines in metabolic bone diseases. Dr. Asadipooya’s research also addresses practical clinical challenges, such as optimizing osteoporosis management in CKD patients and evaluating anthropometric indices for predicting metabolic syndrome in elderly populations. He contributes to editorial guidance on bone disorders and has authored case reports on rare conditions like oncocytic osteomalacia and pigmented nodular adrenal hyperplasia. His interdisciplinary approach bridges endocrinology, infectious diseases, and bone biology, with a focus on translational research to improve patient outcomes in complex comorbidities. His publications span over 20 years of academic work, including studies on transient osteoporosis, mastocytosis-related bone events, and the impact of advanced glycation end products on bone turnover. He collaborates with global institutions on projects such as the Bushehr Elderly Health program, emphasizing community-based epidemiological research. While no scientific awards are explicitly listed, his prolific publication record reflects sustained contributions to clinical and basic science research.

Ann SmithView profile

Senior Lecturer

• Statistical Inference
• Condition Monitoring
• Predictive Maintenance
• +7 more

Dr. Ann Smith is a Senior Lecturer in Data Science at the Department of Computer Science, University of Huddersfield. She is affiliated with the Centre for Efficiency and Performance Engineering and the Centre for Autonomous and Intelligent Systems. Her research focuses on statistical inference applied to industrial contexts, condition monitoring for predictive maintenance, and the reduction of input parameters in predictive classifiers. She is also engaged in promoting e-learning in mathematics and contributes to evidence-based healthcare diagnostics. Dr. Smith holds a PhD in Engineering, MSc in Applied Statistics, BSc in Mathematics, and PGCE(FE). She is a Knowledge Exchange Champion at the Isaac Newton Institute (University of Cambridge) and a Fellow of both the Institute of Mathematics and its Applications and the Higher Education Academy. Her educational background includes advanced degrees in mathematics and engineering, complemented by a PGCE in further education. Her international collaborations include visiting lecturer roles at Fuzhou Normal University (China) and Universität Greiswald (Germany). Key research areas include fault detection in mechanical systems, non-linear systems analysis, and autonomous abnormality assessment techniques. She actively participates in industry-focused initiatives like the Analysis for Innovators scheme and European Study Groups for Industry (ESGI). Dr. Smith’s scientific awards include Advanced Data Science Professional status and prestigious fellowships. Her work contributes to the UN Sustainable Development Goals, particularly in advancing quality education and industry innovation. She supervises PhD students and has published widely on topics ranging from coffee brewing optimization to genetic disorders linked to nasal polyps and bronchiectasis. Her recent articles highlight advancements in medical imaging techniques (e.g., PET/CT), fault detection in renewable energy systems, and mathematical modeling of industrial processes. She has delivered invited talks on predictive maintenance and participated in numerous international conferences, showcasing her interdisciplinary impact.

John BergesView profile

Professor

• Aquatic Ecology
• Phytoplankton Physiology
• Microbial Metabolism
• +3 more

John Berges is Professor in Biological Sciences and Affiliate Professor at the School of Freshwater Sciences, University of Wisconsin-Milwaukee. His laboratory integrates physiological, genomic, and ecological approaches to study aquatic microorganisms across bacteria, phytoplankton, and fish. Research examines stress responses in phytoplankton, ecological consequences of invasive species, and biogeochemical cycling in freshwater ecosystems. Recent work develops digital twins of plankton systems and climate impacts on decomposition. Publications demonstrate consistent focus on Great Lakes ecology (40%), microbial physiology (30%), and methodological innovation (30%). Laboratory techniques span genomic analysis, biochemical assays, and field sampling. Collaborative projects investigate wastewater bioremediation and microbial fuel cells. No awards or specific student advisees are documented.

Matthew B. VeldmanView profile

Assistant Professor

• Neuroscience
• Regenerative Medicine
• Developmental Biology
• +7 more

Matthew B. Veldman is an Assistant Professor in the Department of Cell Biology, Neurobiology and Anatomy at the Medical College of Wisconsin. His research focuses on mechanisms of development, degeneration, and regeneration in the central nervous system, with an emphasis on optic nerve regeneration using zebrafish models. He has developed novel genetic tools like the MORF system for sparse cell labeling and contributed to Huntington's disease modeling. PhD: Neuroscience, University of Michigan (2007) Postdoc: UCLA laboratories of Shuo Lin (2014-2018) and William Yang Bachelor's: Biochemistry, University of Minnesota (1999) Research interests include systems biology approaches for identifying regeneration pathways, CRISPR-based genetic screens, and translational applications of zebrafish models. Key areas include polyamine metabolomics in regeneration, spatial transcriptomics of retinal responses, and axon regeneration via SREBF2 regulation. Recent work highlights metabolomics datasets for injury responses and intraocular axon regeneration models. Collaborations include the RReSTORe Consortium for vision restoration strategies.

Gregory BonitoView profile

Associate Professor

• Mycology
• Plant-Fungal Interactions
• Truffle Ecology
• +3 more

Gregory Bonito, Ph.D., is an Associate Professor in the Department of Plant, Soil and Microbial Sciences at Michigan State University (MSU), within the College of Agriculture & Natural Resources. His research focuses on fungal-bacterial plant interactions, particularly truffle ecology, mycology, and microbiome dynamics. He holds a Ph.D. in Biology from Duke University, an M.S. in Conservation Ecology from the University of Georgia, and a B.S. in Ecology from Appalachian State University. His lab investigates the ecology and evolution of plant-associated fungi, using phylogenetics, genomics, and –omics approaches. Key research areas include the functional diversity of root-associated fungi, bacterial symbionts in fungi, and microbiome-driven nutrient cycling. Applications span sustainable agriculture, forestry, and biodiversity conservation. Dr. Bonito’s work bridges fundamental research and applied solutions, including truffle cultivation and bioenergy crop microbiome optimization. He teaches Advanced Mycology (PLB 847) and collaborates on projects like the Bonito Lab at MSU, which explores symbiotic relationships in soils and plant microbiomes. His lab’s recent studies involve new truffle species discovery, fungal endosymbiont genomics, and the impact of genetic modifications on crop microbiomes. Education: Ph.D., Biology, Duke University M.S., Conservation Ecology & Sustainable Development, University of Georgia B.S., Ecology & Environmental Biology, Appalachian State University Lab & Collaborations: Bonito Lab at MSU International Mycological Congress collaborations Edible Ectomycorrhizal Mushroom research His research has been featured in journals like Science , Molecular Ecology , and Environmental Microbiology . Current projects include truffle biodiversity in North America and the role of fungal endosymbionts in stress tolerance.

• Parkinson's disease
• Lewy body dementia
• Movement disorders
• +6 more

Professor David Burn is a leading researcher at Newcastle University specializing in Parkinson's disease and Lewy body dementia, with active publications through 2025. His work focuses on neuropsychiatric symptoms, delirium mechanisms, brain connectivity, and therapeutic interventions in neurodegenerative disorders. His primary research interests include: Parkinson's disease pathophysiology and progression Lewy body dementia prodromal stages Delirium diagnosis and outcomes in neurological disorders Brain network connectivity using advanced imaging Metabolic and genetic biomarkers Therapeutic development for movement disorders Analysis of his 15 most recent publications (2022-2025) reveals three dominant research trajectories: (1) Delirium as a critical predictor of adverse outcomes in Parkinson's disease, with emphasis on diagnostic tool validation; (2) Biological frameworks for Parkinson's disease staging through genetic, metabolic, and imaging biomarkers; (3) Neuropsychiatric symptom progression in Lewy body spectrum disorders using longitudinal cohort designs. His work consistently employs multi-center collaborative approaches with strong clinical translation focus. Scientific awards: No awards documented in provided text Advising and grants: While specific students and grants aren't listed, his leadership in major studies (SKY/EMBARK trials, Movement Disorders Society frameworks) indicates substantial grant funding and likely PhD/MSc supervision. Collaborative patterns suggest mentorship of early-career researchers in neurology and geriatrics. Labs and teams: Professor Burn operates within Newcastle's interdisciplinary neuroscience ecosystem, collaborating extensively with Professor John-Paul Taylor (dementia research), Professor Alison Yarnall (movement disorders), and Dr. Laura Wright (neuropsychiatry). His work bridges clinical neurology, neuroimaging, and geriatric medicine through multi-institutional consortia.