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Jennifer HeadView profile

Assistant Professor

• Infectious Disease Epidemiology
• Climate-Driven Disease Dynamics
• Fungal Pathogens
• +5 more

Jennifer Head, PhD, MPH, serves as the John G. Searle Assistant Professor in the Department of Epidemiology at the University of Michigan School of Public Health. She teaches EPID601: Principles and Methods of Epidemiology (residential) and EPID674: Epidemiologic Data Analysis Using R (online). Her research focuses on climate-sensitive infectious diseases, particularly fungal pathogens like Coccidioides, Histoplasma, and Blastomyces. Education: PhD in Epidemiology (University of California, Berkeley, 2022), MPH in Global Environmental Health (Emory, 2016), BS in Chemical Engineering (Washington University in St. Louis, 2013) Research Themes: Climate variability impacts on pathogen distribution, environmental disturbance effects on human exposure, host-pathogen interactions in changing ecosystems Her work combines mathematical/statistical modeling with field research, including drone-based air sampling and longitudinal soil surveillance. Current projects include NIH-funded studies on population immunity estimation and climate-disease forecasting. She collaborates with federal agencies like CDC and EPA on actionable public health outcomes. Scientific Awards: NIH K01 grant, NIH F31 grant, R01 collaboration funding Students: Advises multiple MPH and PhD students in epidemiology and environmental health sciences She leads the Climate-Sensitive Infections Research Group , which has been featured in Science News , The Washington Post , and National Geographic . Recent media appearances include JAMA Network Open podcast and KNX Radio climate-disease interviews.

Klaus SchäfersView profile

Professor

• Medical Physics
• Molecular Imaging
• Positron Emission Tomography (PET)
• +5 more

Klaus Schäfers is a Professor at the University of Münster , leading the Schäfers Group: Technology & Medical Physics at the European Institute for Molecular Imaging (EIMI) . His research focuses on advancing medical imaging techniques, particularly PET and MRI , with an emphasis on motion correction, image reconstruction, and hybrid imaging systems. Research Focus : Motion correction in PET/MRI, dispersion modeling, development of dynamic phantoms, and application of computer vision to biomedical imaging. Notable Contributions : Pioneering motion correction methods using Microsoft Kinect and radar sensors, creating extracorporeal circulation systems for arterial input function measurements, and developing high-resolution PET detectors. Scientific Awards : Holds a US Patent US-20140357980 for motion correction techniques in emission tomography. Publications (2014–2025) highlight innovations in PET and MRI integration, motion compensation algorithms, and phantom design for preclinical studies. His work bridges medical physics , computer vision , and biomedical engineering , aiming to enhance diagnostic accuracy through technical refinements.

• Shelter Medicine
• Spay/Neuter Surgery
• Chemical Sterilization
• +3 more

Kimberly Carter is a Clinical Associate Professor in the Department of Veterinary Clinical Sciences at Oklahoma State University's College of Veterinary Medicine, serving since 2020 after promotion from Clinical Assistant Professor (2015-2020). Her expertise centers on shelter medicine with specialized focus on spay/neuter surgery and chemical sterilization techniques for animal population control. Dr. Carter holds the following degrees: DVM, Oklahoma State University, 1989 MS in Shelter Medicine, University of Florida, 2019 BS, Oklahoma State University Her research investigates chemical castration methods including calcium chloride solutions and propylene glycol injections, pediatric spay/neuter protocols, and stress-reduction techniques in shelter environments. She develops evidence-based approaches for high-volume surgical settings while addressing infectious disease control and animal handling challenges unique to shelter medicine. Dr. Carter's scholarly output from 2017-2019 reveals consistent focus on surgical training innovation and sterilization efficacy. Her work bridges clinical research with practical veterinary education through numerous wet lab modules covering instrument handling, suturing, and species-specific techniques. Publications emphasize complication monitoring in chemical sterilization and data-driven spay/neuter timing recommendations, directly impacting shelter medicine protocols nationwide. No scientific awards are documented in the available records. Dr. Carter manages multiple active grants including OSU Foundation's Spay-Neuter Program Continuation (2019-2024), Operation Catnip funding (2014-2026), and Maddie's Fund distance learning initiatives (2015-2023). Her ORS-funded Minimally Invasive Animal Sterilization project (2020) advances chemical castration research. While formal student advisees aren't listed, her teaching roles in Junior Surgery and Shelter Medicine courses mentor veterinary students in surgical techniques and shelter medicine principles. She actively participates in Payne County Animal Response Team as Treasurer (2019-present) and fosters cats/kittens for Stillwater Humane Society since 2009. Her outreach includes OSU Shelter Summer Seminars on stress-free handling, Science Café presentations on community cats, and Operation Catnip Stillwater board service (2012-2021).

Adam PickensView profile

Associate Professor

• Occupational biomechanics
• Occupational safety
• Mobile Application Development
• +3 more

Adam Pickens serves as an Instructional Associate Professor in the Department of Environmental and Occupational Health within the Texas A&M University School of Public Health. His research and teaching integrate industrial engineering principles with public health practice to address critical workplace safety challenges through evidence-based interventions. His academic foundation includes: PhD in Industrial Engineering from Texas Tech University MPH in Environmental and Occupational Health from Texas A&M University School of Public Health Bachelor of Science in Biomedical Science from Texas A&M University Dr. Pickens' research program focuses on: Developing mobile health applications for workplace safety monitoring Implementing and evaluating sit-stand workstation interventions Improving occupational safety training methodologies Assessing biomechanical risks in manual materials handling His work demonstrates exceptional translational impact, converting engineering solutions into practical workplace safety protocols. Recent publications reveal a strategic shift toward technology-driven interventions, with increasing emphasis on software-based prompting systems and mobile health applications that address sedentary behavior in office environments. The interdisciplinary nature of his research bridges occupational health, human factors engineering, and digital health innovation, consistently targeting measurable improvements in worker safety and productivity.

• Chronic lymphocytic leukemia
• Hairy cell leukemia
• Prolymphocytic leukemia
• +7 more

Dr. Clive S. Zent is a Professor in the Department of Medicine, Hematology/Oncology at the University of Rochester School of Medicine and Dentistry. He specializes in chronic lymphocytic leukemia (CLL), hairy cell leukemia, prolymphocytic leukemia, lymphoplasmacytic lymphoma (Waldenstrom's macroglobulinemia), and large granular lymphocytic leukemia. As part of the University of Rochester Medical Faculty Group and Accountable Health Partners, Dr. Zent provides expert care for blood cancers with a focus on precision diagnosis and targeted therapy. Dr. Zent's educational background includes: MBBCH from University of Witwatersrand (South Africa) in 1983 (Degree with Distinction) Internship in Internal Medicine at Coronation Hospital (South Africa) in 1984 Residency in Internal Medicine at Groote Schuur Hospital (South Africa) from 1987-1991 Fellowship in Hematology & Oncology at University of Chicago Medical Center from 1993-1996 Residency in Internal Medicine at University of Arkansas College of Medicine in 1996-1997 Dr. Zent's research has significantly advanced our understanding of therapeutic monoclonal antibodies for CLL, molecular prognostic markers, diagnosis of related diseases, and management of autoimmune cytopenias and second malignancies. His work spans immunotherapy mechanisms, antibody-mediated phagocytosis, vaccine responses in immunocompromised patients, and cardiotoxicity from novel lymphoma treatments. He has been instrumental in developing international patient registries for hairy cell leukemia and establishing consensus guidelines. His recent publications reveal a strong focus on targeted therapies for CLL and hairy cell leukemia, including BTK inhibitors, PI3K inhibitors, and novel combination regimens. There's significant attention to treatment-related complications like atrial fibrillation and infection risks, healthcare disparities among different patient populations, and increasingly incorporates patient-centered outcomes and quality of life considerations. Dr. Zent has received several prestigious awards: Hematology Teacher of the Year (2023-2024) Teacher of the Year in Hematology (2008) Kaminer Fellowship (Travel Award) (1995) Degree with Distinction from University of Witwatersrand (1983) As a dedicated clinician-educator, Dr. Zent has mentored numerous medical students, residents, and fellows. Patient comments consistently highlight his exceptional communication skills, thorough explanations, and compassionate approach. He actively participates in multicenter clinical trials and collaborative research initiatives focused on improving outcomes for patients with leukemias and lymphomas. Dr. Zent maintains an active clinical practice at the Wilmot Cancer Center at Strong Memorial Hospital, where he continues to investigate novel therapeutic approaches for chronic lymphocytic leukemia and related disorders, with particular interest in optimizing treatment sequencing and managing treatment-related complications.

Gregory J. MeyerView profile

Professor

• Personality Assessment
• Neuropsychological Processes
• Test Validation
• +3 more

Dr. Gregory J. Meyer is a Professor in the Department of Psychology at the University of Toledo. His research focuses on personality and neuropsychological assessment, particularly the Rorschach inkblot test and its applications in clinical practice. He emphasizes integrating self-reported characteristics with performance-based measures to understand psychopathology. Meyer is involved in developing and refining the Rorschach Performance Assessment System (R-PAS), aiming to improve validity through meta-analysis and international normative data. His work includes studies on aggression, suicide risk, and the admissibility of Rorschach evidence in legal contexts. Education: PhD in Psychology from Loyola University of Chicago (1990). Teaching responsibilities include courses on Cognitive Assessment, Quantitative Methods, and Psychometrics. He directs the Psych Assessment Lab and collaborates internationally on projects like the R-PAS manual and cross-cultural validation studies. Meyer has authored over 200 peer-reviewed articles and co-developed assessment tools such as the Rorschach Construct Scale. Research interests also encompass meta-analysis techniques, clinician judgment reliability, and the validation of psychological instruments like the Personality Assessment Inventory (PAI) and MMPI-2.

• Renewable Energy
• Wind Power
• Energy Storage
• +4 more

John Barton is a Researcher at the Centre for Renewable Energy Systems Technology (CREST). His work focuses on wind power integration, energy storage systems, and low-carbon hydrogen production. He developed the Future Energy Scenario Analysis (FESA) tool to model energy systems with high renewable penetration. Current research includes wind turbine condition monitoring and socio-technical transition pathways for energy systems. His research spans smart grids, distributed energy generation, and the socio-technical challenges of transitioning to low-carbon systems. He has collaborated with companies like Bryte Energy and Air Fuel Synthesis on hydrogen and carbon-neutral fuel technologies. Notable contributions include studies on energy storage optimization, solar integration barriers, and humanitarian portable power solutions. Key projects include the Supergen Wind project for turbine monitoring and the Realising Transition Pathways initiative exploring energy security and emissions reductions. His work links technical modeling with societal engagement, addressing both engineering and behavioral aspects of energy transitions.

• Integer Programming
• Stochastic Programming
• High-Performance Computing
• +3 more

Jeffrey Linderoth is a Professor in the Department of Industrial & Systems Engineering at the University of Wisconsin-Madison, within the College of Engineering. His research focuses on large-scale optimization problems, including integer programming and stochastic programming, with an emphasis on high-performance algorithms and software development. He holds a PhD from Georgia Institute of Technology (1998) and has been recognized with numerous awards, including INFORMS Fellow (2016) and multiple best paper awards in optimization journals. Linderoth is actively involved in teaching optimization courses such as COMP SCI 524 and I SY E 524, and mentors pre-dissertation and thesis research. Education: PhD (1998), MS (1994) – Georgia Tech; BS (1992) – University of Illinois Research Interests: Linderoth specializes in high-performance computing for optimization, numerical methods, and distributed algorithms. His work addresses challenges in computational grids, combinatorial optimization, and applications in fields like energy systems and computational biology. He has developed influential software tools like Minotaur for mixed-integer nonlinear programming. Recent Achievements: His 2024 work on stochastic integer programming and dual decomposition methods, as well as contributions to autocatalytic networks in origin-of-life studies, highlight his interdisciplinary impact. Linderoth has also been honored multiple times for teaching excellence, including the University Housing Honored Instructor Award (2019, 2016, 2008). Awards: Over 20 awards spanning best papers, teaching excellence, and early career recognition Grants/Projects: Includes Department of Energy funding and collaborations on optimizing power systems and minimizing cascading failures Linderoth leads research teams and contributes to academic organizations, advancing both theoretical and applied aspects of optimization science.

• Cardiac Rehabilitation
• Psychosocial Adaptation
• Exercise Physiology
• +3 more

Donna Waechter is an Adjunct Assistant Professor in the Department of Psychology at Kent State University. Her research focuses on resource utilization in cardiac rehabilitation, psychosocial adaptation to cardiac illness, and quality of life assessments. She holds a Ph.D. from Kent State University (1982). Education: Ph.D., Kent State University (1982) Research Interests: Dr. Waechter’s work explores physiologic changes and exercise capacity during cardiac rehabilitation , baseline psychological function in cardiac rehabilitation participants , and the evaluation of quality of life survey instruments . She also investigates weight loss among obese cardiac rehabilitation participants and psychosocial adaptation to cardiac illness . Publications: Her publications address topics such as obesity’s impact on functional work capacity, mental health outcomes in cardiac patients with implantable defibrillators, and gender differences in recruitment for cardiac rehabilitation studies. Her work spans data-driven decision making in clinical care and program evaluation metrics for cardiac rehabilitation. Advising & Grants: No students or grants are explicitly listed in the provided information. Her research has been supported through collaborations and institutional resources, as seen in publications from 2004 to 2007. Labs/Teams: No specific lab or team affiliations are mentioned, though her work aligns with interdisciplinary efforts in cardiac rehabilitation and psychosocial health.

• Data Analysis
• Statistics
• Environmental Science
• +7 more

Prof. Andreas Ruckstuhl is a Professor at the ZHAW Zurich University of Applied Sciences, affiliated with the School of Engineering and the Data Analysis and Statistics research group. His work spans interdisciplinary fields including data science, environmental science, healthcare analytics, and statistical methodology. Research interests focus on robust statistical methods, environmental monitoring, healthcare policy analysis, and customer behavior modeling. Recent contributions include studies on data scientists’ roles in enterprises, aerosol particle classification, and health technology assessment in Switzerland. Prof. Ruckstuhl has led and contributed to projects such as data anonymization for Swisscom, e-participation frameworks using collective intelligence, and cost analyses of healthcare issues like low back pain. He has collaborated extensively on environmental projects, including atmospheric trace gas analysis and VOC reduction technologies. His publications span peer-reviewed journals in statistics, environmental science, and healthcare, reflecting his expertise in applying advanced statistical techniques to real-world problems. Notable projects include developing baseline signal extraction methods for spectroscopic data and nonparametric function estimation models.

Gregory DoblerView profile

Associate Professor

• Data-driven Urban Science
• Astrophysics
• Machine Learning
• +5 more

Gregory Dobler is an Associate Professor in the Department of Physics & Astronomy at the University of Delaware, part of the College of Arts & Sciences. He joined UD in 2019. His research bridges astrophysics and urban science, leveraging machine learning and data science to explore topics such as interstellar medium physics, particle dark matter, strong gravitational lensing, and urban energy dynamics. Dobler holds a B.S. from Haverford College and a Ph.D. from the University of Pennsylvania. His work spans innovative applications of AI in astronomy, including automated detection of light echoes and transient phenomena, while also advancing urban studies through hyperspectral imaging of vegetation health, air quality monitoring, and magnetic field analysis of cities. Notable contributions include the development of the Urban Observatory platform for multiscale urban systems analysis and the Multi-city Urban Observatory Network. Recent research trends emphasize interdisciplinary approaches, integrating deep learning with environmental sensing to address urban challenges like energy consumption and public health. His publications highlight collaborations across fields such as remote sensing, climate science, and smart city technologies. Dobler’s lab focuses on creating novel imaging systems and algorithmic frameworks to study complex systems, from galactic structures to urban infrastructure dynamics.

• Applied Ecology
• Agricultural Science
• Climate Adaptation
• +3 more

Kauê Feitosa Dias De Sousa is an Associate Professor at the Department of Agricultural Sciences, University of Innlandet. His work bridges ecological science, digital innovation, and participatory methods to support sustainable livelihoods and climate resilience in biodiverse regions. Education: - PhD in Applied Ecology and Biotechnology (University of Innlandet, Norway) - MSc in Tropical Agroforestry (CATIE, Costa Rica) - BEng in Forestry (Universidade Federal do Amazonas, Brazil) Research Interests: Kauê focuses on agrobiodiversity, climate adaptation in smallholder farming systems, and participatory research methods like the triadic comparison (tricot) approach. He integrates data-driven tools with local knowledge to address agricultural challenges in Latin America, Africa, and Asia. Key Contributions: - Developed the tricot framework for decentralized on-farm testing. - Co-created open-source software tools (e.g., ClimMob, gosset, climatrends). - Advised on digital platforms for citizen science in grassroots research. - Contributed to CGIAR's global strategy on data-driven on-farm variety testing (OFVT). International Projects: Led roles in projects funded by the Gates Foundation, NORAD, and CGIAR Trust Fund, spanning Benin, Ethiopia, Ghana, Kenya, and others. Open Science: Most code and workflows are openly available on his team’s GitHub page, promoting transparency and collaboration.

Pedro SarmentoView profile

Research Fellow

• Sound and Music Computing
• Deep Learning
• AI in Music
• +3 more

Pedro Sarmento is a Research Fellow at Queen Mary University of London's School of Electronic Engineering and Computer Science. His research focuses on Sound and Music Computing , leveraging deep learning and AI techniques for symbolic music generation, particularly in guitar tablature formats. He leads projects like Guitar-Oriented Neural Music Generation , exploring prescriptive notation in fretted instruments using datasets like dadaGP and GigaMIDI. His work integrates transformer models for tasks such as emotion-conditioned music generation, style transfer, and live coding performances. Notable applications include mapping smart city sensor data (e.g., air quality) to musical outputs. Collaborations span music informatics, interdisciplinary projects in progressive metal composition, and AI ethics in creative processes. Research highlights include conditional music generation, guitarist style modeling, and dataset development for expressive music performance analysis. Pedro contributes to the Centre for Digital Music (C4DM) and actively publishes in AI-driven music technology, bridging computational methods with artistic creativity.

Zahra TajbakhshView profile

Lecturer

• Ocular Surface Disease
• Myopia Control
• In Vivo Confocal Microscopy
• +10 more

Dr. Zahra Tajbakhsh is a Lecturer at the Department of Optometry and Vision Science, School of Allied Health, The University of Western Australia. She holds a PhD in Optometry and Vision Science (2022) from UNSW Sydney, focusing on dendritic cells in ocular allergy, and earned her BOptom and MSc from Iran. Her research spans ocular surface disease, myopia control, contact lenses, and AI in retinal diagnostics, with over 28 publications and an h-index of 8. PhD, UNSW Sydney (2022): Dendritic cells in ocular allergy MSc in Optometry, Iran BOptom, Iran Dr. Tajbakhsh’s work integrates in vivo confocal microscopy with immunological studies to investigate conditions like allergic conjunctivitis, keratoconus, and LASIK recovery. Recent projects include AI-driven inherited retinal disease analysis and improving eye health literacy in Western Australia. She actively collaborates on ocular pressure dynamics, corneal structure, and pediatric vision research. Her publications highlight applications of AI in retinal diseases, keratoconus treatment, dendritic cell profiling, and pediatric ocular norms. Awards include recognition as an inaugural PhD Champion for UNSW Women in Math and Science. Current projects involve grants from the Perth Eye Foundation (2024–2027) to address eye health disparities. Inaugural PhD Champion, UNSW Women in Math and Science Dr. Tajbakhsh contributes to clinical research, teaching, and outreach, emphasizing diversity in STEM and advancing diagnostics for ocular conditions through interdisciplinary collaborations.

Vincent GaudetView profile

Professor

• VLSI Circuits
• Analog Circuits
• Mixed-Signal Circuits
• +9 more

Professor Vincent Gaudet is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. He holds a Ph.D. (2003) and M.A.Sc. (1997) from the University of Toronto and a B.Sc. (1995) from the University of Manitoba. His research focuses on high-performance microelectronic circuits for information processing, including stochastic computing, error-correcting codes (LDPC/Turbo), and biomedical applications such as neural recording systems. He has held visiting roles at Tohoku University and Northeastern University, and has served as Chair of the IEEE Technical Committee on Multiple-Valued Logic (2016-2017). Education: B.Sc. (1995), M.A.Sc. (1997), Ph.D. (2003) in Electrical Engineering Editorial Roles: IEEE Transactions on Circuits and Systems, ISSCC Technical Editor His research interests span VLSI design, low-power circuits, biomedical instrumentation, and machine learning applications in medical imaging. He has pioneered FPGA implementations of stochastic decoders and AI-driven diagnostic tools for PET imaging. Notable awards include the Petro Canada Young Innovator Award (2009) and Engineering Society Teaching Excellence Award (2015). Teaching focuses on digital/analog circuit design (ECE 240/340/445/637), with contributions to the 8th edition of the textbook Microelectronic Circuits . He has held leadership roles including Department Chair (2016-2020) and Associate Chair for Undergraduate Studies (2013-2016). Grants & Labs: Active in microsystems design and biomedical engineering research groups Patents: Includes circuit design innovations for LDPC decoders and biomedical instrumentation