جست‌وجوی استاد و پژوهشگر

Xiaonan ZHANGمشاهده پروفایل

دانشیار

• Virology
• Molecular Biology
• Translational Medicine
• +۴ مورد دیگر

Xiaonan ZHANG is an Associate Professor in the Faculty of Science and Technology at the University of Canberra, leading the Hepatitis B Virus (HBV) Group within the Centre for Research into Therapeutic Solutions. He holds a PhD from Fudan University (2012) and previously worked at the Shanghai Public Health Clinical Centre until 2021. His research focuses on HBV molecular pathogenesis, therapeutic vaccine development, and next-generation sequencing applications in viral infections. His work has advanced understanding of HBV’s clinical outcomes, including the discovery of Capsid-Antibody-Complexes (CACs) and their role in pathogenesis. Collaborations span institutions like the Peter Doherty Institute, University of Queensland, and international partners such as Fudan University and University of Duisburg-Essen. Key projects include: Development of therapeutic mRNA vaccines for chronic HBV Clinical evaluation of CAC assays in HBV/HIV co-infections Metagenomic sequencing for pathogen identification Research interests emphasize translational medicine, with contributions to H7N9 influenza and SARS-CoV-2 studies during the pandemic. His team pioneered real-world analyses of viral and host factors in COVID-19 outcomes. Current focus includes liver-resident immune cell dynamics and novel diagnostic assays for HBV nucleic acids. Publications highlight innovations in HBV cccDNA tracking, immune complex mechanisms, and exosome-mediated signaling. No scientific awards were explicitly listed in the provided texts. Xiaonan actively collaborates on grants and supervises PhD students, advancing interdisciplinary approaches to viral diseases.

• Econometrics
• Financial Econometrics
• Risk Management
• +۶ مورد دیگر

Patrick Gagliardini is a Full Professor of Econometrics at the University of Lugano (USI) within the Faculty of Economics and the Institute of Finance. He also serves as Pro-Rector at USI. His academic journey includes a PhD in Econometrics from USI (2003) and studies in Physics at ETH Zurich (1998). He has held roles such as Visiting Fellow at CREST Paris (2003) and Assistant Professor at the University of St. Gallen (2004–2006). His research focuses on econometric methods (nonparametric techniques, GMM, latent factor models) and financial applications such as credit risk, asset pricing, and risk management. Competence areas include Big Data, investment decisions, and systematic risk analysis. He teaches courses in econometrics, financial econometrics, and time series at the undergraduate, graduate, and PhD levels. Recent publications explore latent factor models, econometric testing (e.g., eigenvalue tests for factor detection), and financial decision-making in small data regimes. His work bridges theoretical econometrics with practical applications in finance and risk modeling. Notably, his research addresses challenges in dynamic latent factor models, hedge fund performance evaluation, and granularity theory in financial systems. He maintains an active academic profile with contributions to both theoretical and applied econometrics.

Masakazu Yamamotoمشاهده پروفایل

عضو هیئت علمی

• Developmental biology
• Limb patterning
• Skeletal muscle development
• +۳ مورد دیگر

Masakazu Yamamoto is an Assistant Research Professor in the Department of Molecular and Cell Biology at the University of Connecticut, where he has been affiliated with the Center for Regenerative Biology since 2003. His academic career spans institutions in both Japan and the United States, reflecting his deep expertise in developmental and molecular biology. Education 1998 – Ph.D. in Molecular Biology, Nagoya University (Thesis: “Coordinated expression of Hoxa-11 and Hoxa-13 during limb muscle patterning”) 1991–1996 – Graduate studies at Nagoya University and Tohoku University 1991 – M.Sc. in Biology, Tohoku University 1987–1991 – B.Sc. in Biology, Tohoku University Research Interests Yamamoto’s research focuses on the molecular mechanisms underlying limb muscle development and patterning. He investigates how Hox genes, particularly Hoxa-11 and Hoxa-13 , coordinate spatial and temporal gene expression during embryogenesis. His work also delves into the role of transcription factors and signaling pathways in muscle precursor cell fate determination, with implications for regenerative medicine and skeletal muscle biology. Publication Trends His publications from 1992 to 2011 reflect a consistent trajectory in developmental biology, with a strong emphasis on limb development, Hox gene regulation, and muscle patterning. Recent studies include the use of genetically modified mouse models for lineage tracing and the identification of progenitor cells involved in heterotopic bone formation, bridging basic developmental science and translational regenerative biology. Contact & Affiliation Office: Biology/Physics Building G26 Email: masakazu.yamamoto@uconn.edu Phone: 860-486-8717 Address: 91 North Eagleville Road, Unit 3125, Storrs, CT 06269-3125

Mohammad Mannanمشاهده پروفایل

استاد

• Systems Security
• Privacy
• Mobile Security
• +۵ مورد دیگر

Mohammad Mannan is a Professor at the Concordia Institute for Information Systems Engineering, Concordia University. His research focuses on systems security, privacy, mobile security, machine learning applications in security, authentication mechanisms, and trusted computing. He actively supervises students in Information Systems Security (MASc) and Information and Systems Engineering (PhD) programs. Dr. Mannan's work emphasizes real-world security challenges, including vulnerabilities in IoT platforms, privacy issues in mobile apps and websites, and cryptographic protocol weaknesses. He has contributed to developing tools like WARNE for stalkerware detection and LURK-T for TLS delegation improvements. His research bridges theoretical security concepts with practical implementations, addressing threats such as ransomware, phishing, and privacy violations in digital ecosystems. Key areas of exploration include analyzing JavaScript vulnerabilities in real-world applications, evaluating privacy policies of AI chatbots, and mitigating risks in super-apps like WeChat. His publications often highlight the intersection of security and privacy, with a focus on measurable solutions for emerging technologies like smart devices and enterprise security software. Despite no explicitly listed awards or grants, his extensive publication record demonstrates sustained contributions to cybersecurity and privacy research. His advising role reflects a commitment to training the next generation of security professionals in addressing complex modern threats.

Agneta Anderssonمشاهده پروفایل

استاد

• Marine Ecology
• Aquatic Microbiology
• Eutrophication
• +۵ مورد دیگر

Agneta Andersson is a Professor at Umeå University's Department of Ecology and Environmental Science, and affiliated as Professor at the Umeå Marine Sciences Centre (UMF). She leads research projects in marine ecology and coordinates the strategic EcoChange program. Her work focuses on microbial ecology, eutrophication impacts, and climate change effects on marine ecosystems. She supervises PhD student Meifang Zhong and collaborates with postdoc Alef dos Santos and lab members Sonia Brugel, Kesava Ramasamy, Karolina Eriksson, and Li Zhao. Research Interests Her research explores microbial community dynamics, predator-prey interactions in aquatic systems, and the ecological consequences of terrestrial organic matter inflow. Key topics include mercury contamination in sediments, phytoplankton responses to environmental changes, and the role of dissolved organic matter (DOM) in coastal ecosystems. She investigates how climate-driven environmental shifts affect food web efficiency and toxin bioaccumulation patterns. Current Projects Scientific Coordinator for the strategic EcoChange program Leading a 2025–2026 project assessing eutrophication threats in the Bothnian Bay Developing DNA-based monitoring tools for marine phytoplankton Grants & Collaborations Her work is supported by grants funding studies on Baltic Sea microbial diversity and coastal DOM dynamics. She contributes to international initiatives like the CoastDOM database and collaborates with institutions globally to address climate change impacts on aquatic ecosystems. Labs & Teams Her research group focuses on microbial ecology and environmental monitoring. The lab emphasizes interdisciplinary approaches combining molecular techniques, field observations, and experimental mesocosm studies to address pressing environmental challenges.

• Traffic Engineering
• Transport Modelling
• Intelligent Transportation Systems
• +۵ مورد دیگر

Dr. Hing Yan TONG is a Lecturer in Engineering Systems & Supply Chain Management at Aston University's College of Engineering and Physical Sciences. He holds a PhD in Transportation from The Hong Kong Polytechnic University and is a Fellow of AdvanceHE and Chartered Member of CILT(UK). His expertise spans Traffic Engineering, Transport Modelling, and Intelligent Transportation Systems, with a focus on sustainable urban mobility and AI-driven solutions. He leads research projects funded by EU-Rail, TfWM, and Hong Kong government bodies, and has contributed to over 35 publications. Education includes a BSc (Hon) in Applied Mathematics and PhD in Transportation, both from HK PolyU. He previously served at HK PolyU's College of Professional and Continuing Education for 15 years, managing teaching and research in transport and data analysis. Notable projects include developing driving cycles for electric buses and analyzing freight transport policy. Dr. Tong has received awards for his research contributions, including the 2019 Research Peace Award. Key Roles: Lead Guest Editor for 'Sustainability' journals (2023-2025), Research Fellow at Hong Kong Road Research Laboratory (2013–present) Grants: EU-Rail (2024-2026), TfWM-funded freight observatory (2022-2023), HK PolyU projects (2011–2022) His research emphasizes data-driven approaches to transport challenges, including AI-powered traffic signal coordination and urban freight logistics. Recent work focuses on Hong Kong's electric bus systems and regional freight policy frameworks.

Aprajita Mohantyمشاهده پروفایل

دانشیار

• Emotion Perception
• Anxiety Disorders
• Psychotic Disorders
• +۴ مورد دیگر

Aprajita Mohanty, Ph.D., is an Associate Professor of Clinical Psychology at Stony Brook University's Department of Psychology. She holds a Ph.D. from the University of Illinois-Urbana Champaign (2007). Her research focuses on the interplay between emotion, perception, and cognitive control, particularly in anxiety and psychotic disorders. Using fMRI, ERP, and computational modeling, her lab investigates how the brain anticipates emotional stimuli and how these processes contribute to psychopathology. Research Themes: Emotion-cognition interactions in anxiety and psychosis Threat perception and decision-making Predictive processing and neural markers of psychotic disorders Role of contextual learning in threat detection Key Contributions: Elucidated how anticipatory brain activity enhances threat perception in anxiety Identified transdiagnostic neural markers of psychotic disorders (e.g., mismatch negativity) Explored olfactory perception and odor identification in clinical populations Grants & Collaborations: Collaborates with Dr. Roman Kotov (Psychiatry) on emotion-cognition interactions in psychosis. Actively reviews graduate student applications for the 2024-2025 academic year. Labs/Teams: Directs the Emotion, Perception, and Cognition Lab at Stony Brook, integrating cognitive, clinical, and neuroscience methodologies.

• Corporate Social Responsibility
• Human Resource Management
• Sustainability
• +۳ مورد دیگر

Dr. Farheen Javed is a Lecturer in Management at Murdoch Business School, Murdoch University, Australia. She holds a Doctor of Business Administration (2019), Master of Philosophy (2016), and Bachelor of Business Administration (2012). Her research focuses on Corporate Social Responsibility (CSR), Human Resource Management (HRM), and employee-related outcomes such as behaviors, attitudes, and engagement. She has published 14 articles in high-impact journals, including five in Quartile 1 publications, with over 1700 citations. Her work explores CSR perceptions, green HRM, leadership roles in innovation, and cultural intelligence effects on workplace behavior. Dr. Javed serves on Murdoch University's Student Appeals Committee and reviews for international journals. She has received the Murdoch International Postgraduate Scholarship (2019–2023). Her research themes include environmental citizenship behaviors, leadership-environmental linkages, and cross-cultural employee dynamics. Her articles analyze CSR-employee behavior connections, innovative work behavior drivers, and HR policies in SMEs and agricultural sectors. Education: Doctor of Business Administration, Murdoch University (2019) Master of Philosophy (MPhil), National College of Business Administration & Economics (2016) Bachelor of Business Administration, University of South Asia (2012) Her research bridges HRM strategies with organizational sustainability, emphasizing employee perceptions of CSR initiatives and leadership roles in fostering environmentally conscious behaviors. She has explored knowledge-sharing mechanisms in education sectors and CRM's role in customer loyalty. Dr. Javed's work often employs advanced quantitative methods, contributing to both theoretical and practical HRM frameworks.

Shruti Deshpandeمشاهده پروفایل

دانشیار

• Audiology
• Hearing Health Services
• Social Justice in Healthcare
• +۵ مورد دیگر

Dr. Shruti Deshpande serves as an Associate Professor and Vincentian Research Fellow in the Department of Communication Sciences and Disorders at St. John's College of Liberal Arts and Sciences, St. John's University. She also holds the leadership position of Director of the Doctor of Audiology Program and was named an ASHA Innovator in 2024. Dr. Deshpande is actively involved in the American Speech-Language-Hearing Association as a board member of the Multicultural Issues Board (2023-2025) and serves as a subject matter expert for the ASHA Practice Portal in Audiology. Her research focuses at the intersection of audiology and social justice, particularly on accessible and affordable hearing health services for diverse and vulnerable populations. Dr. Deshpande has pioneered community-based research approaches, developing innovative service-learning models that address hearing health disparities. Her work emphasizes cultural competence and aims to increase awareness of audiology as a profession among ethnically diverse adolescents through educational interventions. Analysis of Dr. Deshpande's publication record reveals consistent focus on health equity in audiology, with significant attention to representation in clinical research, social media's role in health information dissemination, and innovative approaches to hearing healthcare delivery. Her work spans multiple subfields including tinnitus research, central auditory processing disorders, electrophysiology, pediatric audiology, and cross-cultural assessment tools. ASHA Innovator (2024) Vincentian Research Fellow Faculty Excellence Award in Community-Based Outcomes and Poverty Research (2022) Multiple Faculty Recognition Awards for Excellence in Research & Scholarship (2017, 2019, 2020, 2021) Values and Inclusion Program Honoree (2020-21) Excellence in Teaching Award from National Society of Leadership and Success (2018) Dr. Deshpande has successfully mentored numerous undergraduate and graduate students, with many serving as co-authors on peer-reviewed publications and presenting at conferences. Her grant portfolio demonstrates significant external funding support, including awards from the Faculty Research Consortium, ASHA's Advancing Academic-Research Careers Award, HearX Group, and multiple internal university grants totaling over $25,000. Her current projects focus on hearing health access for diverse communities, community-based hearing assessment approaches, and innovative teaching methods that integrate technology with service learning. As Director of the Doctor of Audiology Program, Dr. Deshpande oversees a robust curriculum that includes specialized courses in Central Auditory Processing Disorder, Electrophysiology, Pediatric Audiology, and Hearing Science. Her community engagement extends beyond the classroom through partnerships with Liberty Partnership Program and other initiatives aimed at increasing awareness of hearing health and audiology careers among underserved populations.

Terence Sim Mong Chengمشاهده پروفایل

دانشیار

• Biometrics
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Dr. Terence Sim Mong Cheng is an Associate Professor at the Department of Computer Science within the School of Computing, National University of Singapore . He serves as Vice Dean for Admissions and previously held Vice Dean roles for Communications and Second Vice President of the International Association for Pattern Recognition. His academic journey includes degrees from MIT, Stanford, and Carnegie Mellon University. Ph.D. in Electrical & Computer Engineering (Carnegie Mellon University) M.S. in Computer Science (Stanford University) S.B. in Computer Science & Engineering (MIT) His research focuses on Biometrics and Visual Computing , spanning Deepfake synthesis/detection , Facial image analysis , Continuous authentication , and Multimodal biometrics . He integrates machine learning with physics-based modeling to address complex challenges in these domains. Recent publications highlight advancements in deepfake detection (2023), multi-task learning (2022), and gait-based authentication (2020-2022). These works intersect biometrics, privacy, and machine learning. Face and Gesture 2017 : Test of Time Award Computer Analysis of Images and Patterns 2017 : Best Paper Award NUS Faculty Teaching Excellence Award (2003, 2005) Temasek Young Investigator Award (2005) Dr. Sim has taught diverse courses including Biometrics Authentication , Computer Vision , and Discrete Structures . He provides biometric consultancy in areas like technical assessments and feasibility studies .

Darlene Westonمشاهده پروفایل

دانشیار

• Biological Anthropology
• Archaeological Archaeology
• Lifeways and Deathways
• +۷ مورد دیگر

Darlene Weston is an Associate Professor in the Department of Anthropology at the University of British Columbia, serving as Chair of the Undergraduate Studies Committee. She specializes in biological anthropology, osteoarchaeology, and paleopathology, focusing on interpreting health and disease through human remains analysis. Her research spans geographic regions including Canada, Europe, and the Caribbean, with particular attention to lifeways, deathways, and Indigenous repatriation efforts. Education: She holds a Ph.D. from University College London (UK), an M.Sc. from the University of Bradford (UK), and a B.A. from Simon Fraser University (Canada). Before joining UBC in 2010, she held roles at institutions including the Max Planck Institute, Durham University, and Leiden University, where she developed an undergraduate program in Human Osteoarchaeology. Research Interests: Her work integrates bio-cultural analysis of health, infectious disease, and stress indicators in skeletal remains. She collaborates with First Nations communities on repatriation and osteobiographies. Key themes include funerary archaeology, archaeothanatology, and the impact of colonialism on Caribbean societies. Awards: Recipient of the National Award for Scientific Investigation (shared) for collaborative work on El Chorro de Maíta, Cuba, highlighting archaeological and anthropological contributions to Caribbean studies. Advising & Grants: Supervises graduate students in biological anthropology and osteoarchaeology. Notable advisees include Madeleine Lamer (PhD) and Claire Thorimbert (MA). Her research has been published in journals such as PLOS ONE , BMC Evolutionary Biology , and Journal of Human Evolution . Labs/Teams: Active in interdisciplinary projects, including collaborations with the Biological Anthropology Research Centre (BARC) and the Max Planck Institute. Engages in community-based initiatives focused on Indigenous rights and cultural heritage preservation.

• Biochemistry and Cell Biology
• Medicinal and Biomolecular Chemistry
• Physical Chemistry
• +۴ مورد دیگر

Dr. Andrea Fantuzzi is an Advanced Research Fellow in the Department of Life Sciences at Imperial College London, part of the Faculty of Natural Sciences. His affiliations include the Energy Futures Lab and the Grantham Institute. His research focuses on biochemistry, photosynthesis, and electrochemistry, particularly exploring the structural and functional mechanisms of photosystems and chlorophyll pigments. He investigates energy conversion pathways in biological systems, with applications to sustainable fuels and climate mitigation strategies. Key research interests include far-red light adaptation in photosystems, bicarbonate-mediated regulation of photosynthetic processes, and the development of low-carbon energy solutions. Fantuzzi’s work integrates experimental and computational approaches to study protein dynamics, electron transfer mechanisms, and the environmental resilience of photosynthetic organisms. His articles highlight advancements in understanding Photosystem II’s redox tuning, chlorophyll f roles, and electrochemical modeling of photosynthetic systems. Fantuzzi also explores novel catalysts for nitrogen fixation and sustainable aviation fuels, emphasizing real-world applications of fundamental biochemical insights. While no formal awards or grants are listed, his affiliations with prestigious institutes like the Grantham Institute underscore his contributions to cutting-edge environmental and energy research. Fantuzzi’s interdisciplinary approach bridges biochemistry, biotechnology, and renewable energy, aiming to address global challenges through innovative scientific solutions.

Monica Kohlerمشاهده پروفایل

استاد پژوهشی

• Earthquake Engineering
• Seismic Tomography
• Structural Health Monitoring
• +۵ مورد دیگر

Monica Kohler is a Research Professor in the Department of Mechanical and Civil Engineering at the California Institute of Technology (Caltech). She holds a B.A. from Harvard University (1988) and a Ph.D. from Caltech (1995). Prior to her current role, she served as an Assistant Research Engineer at UCLA (1998–2011), Visiting Associate at Caltech (2007–2011), and Research Assistant Professor (2011–2017). Her work focuses on earthquake engineering, seismic tomography, and structural health monitoring using advanced sensor technologies. Her research integrates observational seismology and engineering principles to detect damage in buildings and infrastructure through dense sensor networks like the Community Seismic Network (CSN). Projects include developing methods for damage identification using seismic data, tsunami early warning systems, and real-time monitoring of urban vibrations from human activity (e.g., concerts). Key areas of exploration include earthquake-induced building response, wave propagation analysis, and the application of Bayesian learning and Gaussian process regression for ground-motion modeling. She advises graduate students at UCLA in civil engineering and collaborates on interdisciplinary projects involving oceanography, structural dynamics, and computational modeling. Her contributions span over 150 publications, including studies on the 2019 Ridgecrest earthquakes, tsunami wavefront mapping, and high-rise structural identification. She also leads efforts to deploy seafloor sensors and improve early warning systems for natural disasters. Labs/Teams: Active in the Caltech CSN project, structural health monitoring initiatives, and tsunami hazard research groups. Her team includes researchers like Viviana Vela, Gloria Hyun, and Richard Guy.

Micael Derelövمشاهده پروفایل

دانشیار

• Industrial Engineering
• Product Development
• Reliability Engineering
• +۵ مورد دیگر

Micael Derelöv is an Associate Professor at Linköping University's Department of Management and Engineering (IEI), specializing in Product Realisation (PROD). His work focuses on optimizing safety, reliability, and efficiency in industrial and aerospace systems. He contributes to sustainable product development through advanced methodologies in design optimization and failure analysis. His research integrates robotics, manufacturing systems, and systems engineering to address challenges in collaborative assembly, aircraft design, and risk management. Dr. Derelöv’s research interests include multi-objective optimization for balancing safety and weight in aircraft systems, industrial safety demonstrators, and reliability-centric design processes. He has developed frameworks for evaluating design concepts and identifying potential failures in early-stage engineering projects. His work also explores the application of genetic algorithms in concept synthesis and the use of qualitative modeling for risk assessment. His publications highlight trends in industrial safety, systems reliability, and aerospace engineering. Recent work includes advancements in safe collaborative robotics on assembly lines and methodologies for industrial safety demonstrators. Earlier contributions address cost optimization in reliability-focused design and bio-mechatronic product development. While no specific scientific awards are listed, his active research and academic role reflect a commitment to advancing engineering practices. He collaborates on student projects, such as a recent initiative designing a pressure-resistant device for space exploration, demonstrating engagement in applied and interdisciplinary research. Micael Derelöv’s affiliation with the Department of Management and Engineering positions him at the intersection of academic research and industrial innovation, particularly within the Product Realisation group. His work emphasizes sustainable, integrated approaches to product development, blending theoretical insights with practical applications in manufacturing and aerospace sectors.

Peter Alonziمشاهده پروفایل

استادیار

• Criminal Justice
• Mental Health
• Data Science
• +۳ مورد دیگر

Peter Alonzi is an Assistant Professor of Data Science at the University of Virginia's School of Data Science, appointed in 2022. He previously served as lead of research computing and held a postdoctoral position at the University of Washington. His research focuses on the intersection of mental health and criminal justice, with additional expertise in particle physics. Alonzi collaborates across disciplines, partnering with the School of Engineering, School of Medicine, and Darden School of Business on projects addressing societal challenges. He teaches courses like Data Wrangling in Python and Physics, and leads educational initiatives for the M.S. in Data Science program. Education: Ph.D. in Physics (University of Virginia), B.S. Physics (College of William and Mary, Magna Cum Laude) Labs: Paul Scherrer Institute, Fermilab, Oak Ridge National Laboratory, Jefferson Lab, TRIUMF Teaching Roles: Orientation leader, capstone project coach, curriculum committee co-chair Alonzi's research explores criminal justice system inefficiencies, mental health service integration, and data-driven policy solutions. His work combines advanced computational methods with interdisciplinary collaboration. Recent projects analyze electronic incarceration efficacy, mental health screening in correctional facilities, and pandemic-era justice system adaptations. His technical contributions include deep learning fraud detection models and particle physics instrumentation designs. Despite no explicitly listed awards, his collaborative approach and applied data science focus reflect sustained academic engagement.