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Audra Clark, MD, is Assistant Professor of Surgery at the University of Texas Southwestern Medical Center in Dallas, where she specialises in burn surgery and surgical critical care. She completed medical school (2013), general-surgery residency (2020) and a surgical-critical-care fellowship (2021) at UT Southwestern and has remained on faculty, contributing to more than 80 peer-reviewed publications since 2016. Education & Training: MD – UT Southwestern Medical School, 2013 Post-doctoral research fellowship – UT Southwestern Medical Center, 2018 Residency in General Surgery – UT Southwestern Medical Center, 2020 Fellowship in Surgical Critical Care – UT Southwestern Medical Center, 2021 Research Focus: Dr Clark’s work spans burn resuscitation physiology, acute kidney injury after burn, operating-room efficiency, laser therapy for hypertrophic burn scar, and surgical resident education. She employs large prospective cohorts, national burn databases and translational models to investigate resuscitation endpoints, metabolic derangements and quality-improvement initiatives in burn and trauma patients. Publication Trends: Her recent output (2022-2025) emphasises advanced imaging for burn-depth assessment (multispectral short-wave infrared), ethnicity-neutral resuscitation protocols, post-burn voice outcomes, and multi-national peri-operative risk studies, reflecting a blend of technological innovation and health-services research. Grants & Clinical Programs: While specific grant numbers are not disclosed, she is the principal investigator on several quality-improvement projects within the Parkland Burn Center and participates in multicenter consortiums such as the Burn Model System and P.A.L.LI.A.T.E. geriatric-trauma collaboration. Advising & Teams: Dr Clark mentors general-surgery residents and critical-care fellows in hypothesis-driven burn research and serves on thesis committees for trainees utilising the UT Southwestern surgical database repository.

• Burn surgery
• Surgical critical care
• Acute kidney injury after burn
• +5 more

Slim Essid is a Full Professor at Télécom Paris and coordinator of the Audio Data Analysis and Signal Processing (ADASP) group. He holds a PhD and HDR from Université Pierre et Marie Curie (UPMC). His research focuses on machine learning, artificial intelligence, and signal processing applied to temporal data analysis, including multiview learning, representation learning, and structured prediction. Applications span music content analysis (MIR), multimodal perception (e.g., EEG data analysis), and human behavior analysis. He has advised 15 PhD students and collaborated on over 14 post-doctoral projects. Education: PhD in Signal Processing, Université Pierre et Marie Curie (2005) Habilitation (HDR), Université Pierre et Marie Curie (2015) M.Sc. in Digital Communication Systems, Télécom ParisTech (2002) Engineer Degree, École Nationale d’Ingénieurs de Tunis (2001) Research interests emphasize multimodal learning, self-supervised representation learning, and audio-visual fusion. Key projects include sound-prompted segmentation, zero-shot audio captioning, and EEG-based auditory attention decoding. Over 150 peer-reviewed publications exist across conferences like NeurIPS, ICML, and journals like IEEE Transactions. Active in reviewing for top-tier venues and advising French/EU research projects. Labs/Teams: Member of the Signal, Statistics and Learning (S2A) research team and the Information Processing and Communication Laboratory (LTCI).

• Machine Learning
• Artificial Intelligence
• Signal Processing
• +5 more

Kelly Whelan, PhD is an Assistant Professor in the Cancer and Cellular Biology Department at Temple University's Lewis Katz School of Medicine. She is affiliated with the Fels Cancer Institute for Personalized Medicine and focuses on autophagy mechanisms in esophageal diseases. Her research integrates molecular biology, 3D organoid models, and patient-derived specimens to study epithelial homeostasis in conditions like eosinophilic esophagitis (EoE), esophageal squamous cell carcinoma (ESCC), and Barrett’s Esophagus (BE). Dr. Whelan’s work aims to identify novel therapeutic strategies for benign and malignant diseases through understanding mucosal defense mechanisms. Education: BA (2003) Rosemont College; PhD (2011) Drexel University; Postdoc (2015) University of Pennsylvania. Research interests include mitochondrial dysfunction in EoE, autophagy’s role in epithelial repair, and fibrostenotic disease pathways. Recent studies highlight mitochondrial- immune crosstalk (e.g., STAT3/STAT6 pathways), CD73-adenosine axis regulation, and senescence mechanisms in esophageal pathology. Her work also explores how chronic inflammation may paradoxically reduce carcinogenesis risk in certain contexts. Key awards include the NIH Loan Repayment Program (2014–present), NIDDK K01 Award (2015–2020), and multiple travel/fellowship honors. Her lab employs murine models, patient-derived organoids, and single-cell transcriptomics to investigate cell fate trajectories in disease states. Current projects address age-related autophagy declines, mitochondrial biomarkers in EoE, and drug repurposing for ESCC therapy. Collaborations involve multi-site studies on EoE clinical biomarkers and translational applications of autophagy modulation. Her work bridges basic science and clinical care, with a focus on developing non-invasive diagnostic tools and targeted therapies for esophageal disorders.

• Esophageal Pathology
• Autophagy Mechanisms
• Epithelial Homeostasis
• +5 more

Dr. Taru Manyanga is an Assistant Professor in the Department of Physical Therapy at the University of Northern British Columbia (UNBC), within the Division of Medical Sciences. He holds a PhD in Epidemiology from the University of Ottawa and is a registered physical therapist. His research focuses on surveillance of movement behaviors (physical activity, sedentary behavior, sleep) in healthy and clinical populations, particularly in rural/remote and resource-limited settings. He integrates clinical physical therapy with epidemiological approaches to develop lifestyle interventions promoting active, healthy living across lifespans. Dr. Manyanga’s expertise includes global comparisons of movement behaviors in children/adolescents, with a focus on rural health equity. His work addresses environmental factors like climate change, neighborhood greenness, and urban design influencing physical activity. He collaborates internationally to improve surveillance systems and advocates for health policy equity through organizations like the Active Healthy Kids Global Alliance. His research outputs emphasize methodological advancements (e.g., developing global assessment tools like the YFIT battery and GAC-PAQ questionnaire) and synthesizing evidence on cardiorespiratory fitness impacts. He actively engages in policy-oriented scholarship, such as the 2025 Call to Action for Indigenization and equity in health research. His studies span diverse populations, from Canadian youth to Mozambican and Zimbabwean children, highlighting global health disparities. Key contributions include meta-analyses linking neighborhood environments to mental health and analyses of worldwide obesity/underweight trends. Though no specific grants or labs are listed, his work aligns with UN Sustainable Development Goals and UNBC’s commitment to northern and rural community health. Currently accepting MSc Health Sciences students, he mentors future researchers in population health and physical activity promotion.

• Epidemiology
• Public Health
• Physical Therapy
• +3 more

Koyal Garg is an Associate Professor of Biomedical Engineering at Saint Louis University (SLU), where she leads research in skeletal muscle regeneration, tissue engineering, and biomaterials. Her work focuses on enhancing muscle function and reducing fibrosis following injury, disease, or aging. Dr. Garg is affiliated with SLU's College of Engineering and Department of Biomedical Engineering, leveraging interdisciplinary approaches to bridge preclinical and clinical applications. Her research emphasizes biomimetic scaffolds, stem cell therapies, and nanotechnology for regenerative medicine. Recent studies explore 3D bioprinting, gelatin nanoparticles for drug delivery, and electrostatic biomaterials to address volumetric muscle loss. She actively collaborates on translational projects to translate lab findings into clinical solutions. Dr. Garg's lab investigates muscle regeneration pathways, immune responses in tissue repair, and the role of mechanical stimulation in rehabilitation. Her work has advanced understanding of fibrosis mechanisms and developed novel materials to promote functional recovery. Key contributions include biosponge-encased stem cells and laminin-enriched hydrogels for muscle repair. Publications span biomaterial design, stem cell biology, and musculoskeletal rehabilitation. Her research is supported by grants focused on translational regenerative medicine. Dr. Garg is committed to advancing therapies for muscle trauma and aging-related degeneration through innovative biomaterial strategies and interdisciplinary collaboration.

• Skeletal Muscle Regeneration
• Tissue Engineering
• Biomaterials
• +5 more

Hemant Tiwari is a full-time Professor of Biostatistics at the University of Alabama at Birmingham (UAB) School of Public Health , with simultaneous senior scientist appointments at multiple UAB research centers including the Nephrology Research & Training Center and Center for Clinical and Translational Science (CCTS) . Holding a PhD in Mathematics from the University of Notre Dame, he transitioned to statistical genetics through postdoctoral work at LSU Medical Center and Case Western Reserve University, joining UAB in 2002. Doctor of Philosophy, Mathematics - University of Notre Dame (1986) His research focuses on genetic epidemiology , epigenetics , and multi-omics analysis of complex diseases like stroke, obesity, and autoimmune disorders. He has pioneered methods for polygenic risk score calibration and ancestry-specific genomic studies , particularly in African American populations. Recent work highlights include machine learning stroke prediction models for Sub-Saharan Africa and African ancestry-specific BMI risk alleles . Grants from the National Heart, Lung, and Blood Institute and American Heart Association support his research on cardiorenal genomics and stress-induced epigenetic modifications. As Vice Chair for Research and Faculty Development , he oversees academic initiatives while maintaining active collaborations across UAB's Comprehensive Diabetes Center , Cancer Center , and other multidisciplinary hubs.

• Biostatistics
• Statistical Genetics
• Genetic Epidemiology
• +3 more

Dr. Georgios Mavropalias is a Post-Doctoral Research Fellow at Edith Cowan University's School of Medical and Health Sciences. His research focuses on eccentric exercise interventions for chronic diseases, particularly cancer and neurological conditions, with expertise in biochemical analyses, muscle architecture, and data visualization. Education: PhD in Exercise Science (ECU, 2020), MSc in Sports Science (Sweden, 2015), BSc in Physical Education (Greece, 2012). His work emphasizes translating exercise into clinical medicine, including telehealth applications for multiple sclerosis and prostate cancer. Key areas include muscle adaptation mechanisms, exercise-induced biomarker responses, and home-based intervention efficacy. He has supervised PhD projects on eccentric exercise in aging populations and workplace health. Recent publications highlight telehealth exercise delivery systems, eccentric training's impact on muscle mass/strength, and exercise's role in mitigating cancer treatment side effects. His research bridges clinical and physiological insights to optimize health outcomes across diverse populations.

• Eccentric Exercise
• Exercise Medicine
• Chronic Disease Management
• +7 more

Fouad Teymour is the S.C. Johnson Professor of Chemical Engineering and Director of the Center for Complex Systems and Dynamics at Illinois Institute of Technology. He holds affiliations with multiple interdisciplinary centers, including the Pritzker Institute of Biomedical Science and Engineering. His research focuses on polymer reaction engineering, nonlinear dynamics, and biomedical applications of hydrogels. Education: Ph.D. (Chemical Engineering, University of Wisconsin-Madison, 1989); M.S. and B.S. (Cairo University, Egypt, 1982 and 1979). Research Interests: Hydrogel nanoparticles for drug delivery (e.g., sepsis prevention, biofilm suppression) Nonlinear polymerization modeling and high-temperature polymerization Agent-based systems for complex process control Biological engineering for food/energy security (e.g., algae photobioreactors) Publications: Over 80 peer-reviewed articles, emphasizing interdisciplinary applications of polymer science in healthcare, environmental engineering, and complex systems analysis. Collaborations: Active partnerships with clinicians and biomedical engineers on gut pathogen mitigation and biomaterials development. Labs/Teams: Leads the Polymer Reaction Engineering Lab and collaborates with the Center for Sports Innovation.

• Polymer Reaction Engineering
• Nonlinear Dynamics
• Biomedical Engineering
• +4 more

Emina I. Milovanović is a full professor at the Department of Computing and Informatics, Faculty of Electronic Engineering, University of Niš. She has held this position since 2002 and has a distinguished career spanning over three decades. Her academic journey includes a PhD (1993), master's (1989), and undergraduate degree (1981) in Computing and Informatics from the same faculty. Academic Career: Full Professor since 2002 Education: PhD (1993), MSc (1989), BSc (1981) Her research focuses on parallel computing, systolic arrays, and hardware implementation of algorithms on reprogrammable platforms. Key areas include matrix computations, fault-tolerant systems, and FPGA-based solutions. She has authored 25 articles in impact-factor journals and contributes to national and international projects. Her work emphasizes systolic array architectures for matrix operations, fault-tolerant designs, and grid computing. Notable contributions include algorithms for shortest paths, Gaussian elimination, and matrix-matrix multiplication optimizations. She maintains an active role in academic administration and research collaborations, with a focus on advancing parallel computing methodologies and their practical applications.

• Parallel Computing
• Systolic Arrays
• Matrix Computations
• +3 more

Adolfo R. Escobedo is an Associate Professor in the Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University. His research focuses on mathematical programming, power systems operations, circular economy, computational social choice, and computational linear algebra. He has received prestigious awards including the NSF CAREER Award (2024) and the INFORMS MIF Early Career Award (2023). His work bridges theoretical advancements in optimization algorithms with practical applications in energy systems, crowd intelligence, and STEM education equity. Education: PhD in Industrial Engineering from Texas A&M University (2016), BA in Mathematics from California State University-Los Angeles (2009). Affiliations: Member of the College of Engineering, actively contributing to interdisciplinary research and education initiatives. His research emphasizes robust numerical guarantees in optimization solvers, with a focus on overcoming computational bottlenecks in linear and mixed-integer programming. Recent projects include developing open-source tools for reliable optimization software and launching inclusive STEM education programs targeting underrepresented minorities. Escobedo’s work also addresses societal challenges such as sustainable power systems and waste management through data-driven models. His publications highlight contributions to rank aggregation, crowd wisdom enhancement, and exact matrix factorization techniques. Beyond academia, he advocates for diversity in STEM through recruitment programs and research internships. Key Grants: NSF CAREER Award (2024), CRII: III Grant (2019). Labs/Teams: Leads research groups focused on optimization algorithms and computational social choice, collaborating with interdisciplinary teams in energy and environmental systems.

• Mathematical Programming
• Power Systems Operations
• Circular Economy
• +4 more

Prof. Dr. Britta Trappmann is a newly appointed Professor for Complex 3D Cellular Systems at TU Dortmund University since April 2023. Her position is affiliated with the Department of Chemistry and Chemical Biology and the Dortmund Life Science Center (DOLCE). She holds a PhD in Chemistry from the University of Cambridge (2011) and a diploma in Chemistry from TU Dortmund (2007). Her research focuses on 3D tissue models, artificial blood vessel development, cell-ECM interactions, and biomaterial design. Professional Journey: 2016-2023: Group Leader at Max Planck Institute for Molecular Biomedicine (Münster) 2013-2016: Postdoc at Boston University & Harvard Wyss Institute (USA) 2012-2013: Postdoc at University of Pennsylvania (USA) Research Highlights: Pioneering work on biomimetic hydrogels mimicking ECM properties Development of tunable materials for studying vascular formation Investigations into mechanotransduction mechanisms in endothelial cells Creation of ex utero embryo-trophoblast co-culture systems Publications Trends: Recent work emphasizes hydrogel-based models for angiogenesis and mechanobiology. Key themes include ECM design principles, force-regulated signaling pathways, and biomaterials enabling controlled cell behavior. Over 20 scientific articles published since 2010 span materials science, cell biology, and biomedical engineering disciplines. Lab & Collaborations: Leads the Complex 3D Cellular Systems group at TU Dortmund, focusing on interdisciplinary research combining chemistry, engineering, and biology. Active collaborations with Max Planck Institutes and institutions in the U.S. on regenerative medicine applications.

• 3D Tissue Engineering
• Biomaterials Science
• Cell-ECM Interactions
• +3 more

Debasis Mitra is a Professor in the Department of Electrical Engineering and Computer Science at Florida Institute of Technology (FIT), with an affiliate role in the Biomedical Engineering and Science program within the College of Engineering and Science. He holds a dual Ph.D. in Physics from IIT Kharagpur and Computer Science from the University of Louisiana at Lafayette. His research focuses on inverse problems, medical imaging (e.g., SPECT/PET), machine learning, and spatio-temporal reasoning. He has contributed to projects like nuclear imaging reconstruction algorithms, muon tomography for contraband detection, and computational molecular biology. Education: Ph.D. in Computer Science (University of Louisiana at Lafayette), Ph.D. in Physics (IIT Kharagpur). Awards include the NSF Career Award and Fulbright Scholarship. His DM Lab develops algorithms for dynamic medical image analysis and radiomics. Collaborators include Lawrence Berkeley National Lab and UCSF. He advises graduate students on topics like tumor prognosis and 3D medical image analysis. Teaching includes courses on algorithms, topological data analysis, and medical imaging. Key projects span nuclear imaging reconstruction, muon tomography, and constraint reasoning systems. Labs and teams collaborate on interdisciplinary research blending computer science, physics, and biomedical applications.

• Machine Learning
• Deep Neural Learning
• Inverse Problems
• +7 more

Graham J. Leuschke is a Professor and Department Chair in the Department of Mathematics at Syracuse University, part of the College of Arts & Sciences. He holds a PhD in Mathematics from the University of Nebraska-Lincoln (2000), an M.A. from the same institution (1997), and a B.A. in Mathematics from Reed College (1995). His research focuses on commutative algebra, non-commutative algebraic geometry, and representation theory, with particular emphasis on maximal Cohen-Macaulay modules, non-commutative desingularizations, and determinantal varieties. He co-authored the influential book *Cohen-Macaulay Representations* (2012) and edited volumes on commutative algebra and representation theory. Leuschke has been recognized with the Wiley Top Viewed Article award (2023). He serves on the editorial board of *Communications in Algebra* (2012–2023) and co-founded the community website commalg.org. His service roles include Senator in the University Senate (2021–2025) and Associate Chair for Graduate Affairs (2015–2020). He leads research grants including the NSF-funded *Annual New York State Regional Graduate Mathematics Conference* (2019–2024) and co-PI'd projects on non-commutative desingularizations of Schubert varieties. His teaching spans advanced courses like Commutative Algebra and Representation Theory of Groups and Algebras.

• Commutative Algebra
• Non-commutative Algebraic Geometry
• Representation Theory
• +4 more

Jeffrey D. Varner is a Professor in the Department of Chemical and Biomolecular Engineering at Cornell University's College of Engineering. His research focuses on developing physiochemical modeling tools to rationally reprogram signal flow in human signal transduction networks. Research Focus: Creation of physiochemical models as hypothesis-generation engines for targeted reprogramming strategies in human signal transduction architectures. Applications in cancer research and therapeutic development. Educational Background: B.S. in Chemistry and Mathematics from Purdue University (1992), M.Sc. (1995) and Ph.D. (1997) in Chemical Engineering from Purdue University. Postdoctoral researcher at ETH-Zurich Department of Biology. Industry Experience: Former Scientist at Genencor International's Oncology unit, involved in discovery of novel cancer targets and preclinical/clinical studies of protein therapeutics. Awards and Honors: McNair Diversity Programs Undergraduate Research Mentorship Award (2014) Mr. and Mrs. Richard Tucker College of Engineering Teaching Excellence Award (2010) NSF Career Award (2009)

• Physicochemical modeling of signal transduction
• Molecular and Cellular Engineering
• Systems and Synthetic Biology
• +1 more

Dr Laura Denby is an Affiliate at the University of Glasgow's School of Cardiovascular & Metabolic Health. Her research focuses on gene therapy, vascular biology, renal disease, microRNA mechanisms, and hypertension. She has contributed extensively to understanding molecular pathways in kidney and cardiovascular diseases. Her recent publications highlight roles of microRNAs (e.g., miR-214, miR-29) in renal fibrosis and hypertension, along with innovations in adenovirus vector engineering for targeted gene delivery. She explores interactions between coagulation factors and viral vectors, phosphate toxicity in vascular function, and angiotensin pathways in fibrosis prevention. Dr Denby's work spans interdisciplinary fields including Nephrology, Cardiovascular Science, and Molecular Medicine. She investigates gene delivery systems, microRNA biomarkers, and pharmacological interventions for hypertension and kidney disease. Her current projects emphasize vascular-targeted therapies and RNA-based disease mechanisms.

• Gene Therapy
• Vascular Biology
• Renal Disease
• +4 more