جست‌وجوی استاد و پژوهشگر

Song Jun-myeongمشاهده پروفایل

استاد

• Analytical Pharmacology
• Nanomedicine
• 3D Bioprinting
• +۵ مورد دیگر

Song Jun-myeong is a Professor at Seoul National University (SNU) College of Pharmacy, specializing in Analytical Pharmacology and Nanomedicine. He has held leadership roles including Director of the Library and Information Center at SNU College of Pharmacy and Director of the Korean Biochip Society. Bachelor of Science, Sogang University (1991) Master of Science, Sogang University (1993) Ph.D., Kyushu University (1997) His research focuses on tumor clearing imaging, 3D bioprinting, drug analysis, and photodynamic therapy. He utilizes quantum dot-based imaging and single-cell cytometry for cancer diagnostics and drug mechanism studies. Analysis of his publications reveals a consistent emphasis on nanotechnology applications for pharmacological research, particularly in cancer diagnostics, drug resistance mechanisms, and antimicrobial nanomaterials. His work bridges analytical chemistry with biomedical applications. He serves on multiple scientific advisory boards and committees, including the Korean Society for Biotechnology and Bioengineering and the Pharmacist National Examination Question Development Committee. Song leads the Laboratory for Nanomedicine at SNU College of Pharmacy, advancing technologies in quantum dot imaging and nanomaterial synthesis for pharmaceutical applications.

Li Songمشاهده پروفایل

استادیار

• Computational Immunology
• Bioinformatics
• Genomics
• +۳ مورد دیگر

Li Song is an Assistant Professor at the Department of Biomedical Data Science within the Geisel School of Medicine at Dartmouth College . He earned his Ph.D. in Computer Science (2018) and a Master's in Applied Mathematics and Statistics from Johns Hopkins University , advised by Liliana Florea. He completed postdoctoral training in the labs of X. Shirley Liu and Heng Li at the Data Science Department of Dana-Farber Cancer Institute . Education Ph.D. in Computer Science (Johns Hopkins University, 2018) M.S. in Applied Mathematics and Statistics (Johns Hopkins University) Research Focus : Designing algorithms for next-generation sequencing data analysis in immunology and microbiology. Key projects include: TRUST4 - De novo assembly of T-cell/B-cell receptors from RNA-seq T1K - Genotyping of polymorphic HLA/KIR genes Centrifuger - Compressed microbial genome classification Chromap - Ultrafast chromatin profiling data processing Recent Publications demonstrate expertise in computational immunogenetics, metagenomic analysis, and chromatin profiling workflows. The 2024 Genome Biology paper on Centrifuger received a Best Paper Award at RECOMB2024 . Training & Recruitment : The Song Lab actively seeks postdocs and graduate students through the Quantitative Biomedical Sciences program and Department of Computer Science at Dartmouth.

Ramana V Davuluriمشاهده پروفایل

استاد

• Machine Learning
• Cancer Data Science
• Gene Regulation
• +۴ مورد دیگر

Ramana V Davuluri serves as Professor in the Department of Biomedical Informatics at Stony Brook University's Renaissance School of Medicine. With over 20 years of experience in bioinformatics and computational genomics, he leads research at the intersection of machine learning and cancer genomics, focusing on translating high-dimensional -omic data into clinically actionable insights through statistically rigorous methodologies. Dr. Davuluri's research spans Machine Learning applications in Cancer Data Science , isoform-level gene regulation , and precision-medicine development. His lab pioneers bioinformatics solutions for genomic data interpretation, with emphasis on developing machine learning algorithms that convert NextGen sequencing outputs into experimentally testable discovery models. A core focus involves creating rapid biomarker identification systems from human tissue and blood samples through integrated computational-experimental approaches in systems biology. Analysis of his 2023-2025 publications reveals a dominant trend toward genomic foundation models (e.g., DNABERT variants), multi-omic cancer subtyping , and time-dependent therapeutic strategies for pediatric brain tumors and ovarian cancer. His work consistently bridges computational innovation with biological validation across diverse cancer types including glioma, lung adenocarcinoma, and high-grade serous carcinoma. As Principal Investigator for multiple multi-investigator and multi-site projects, Dr. Davuluri directs research integrating high-throughput experimental procedures with advanced data-mining techniques. His laboratory maintains strong collaborations across oncology, neuroscience, and immunology domains while developing genomics-based decision support systems for clinical translation. The Davuluri Lab employs a systems biology framework to develop novel informatics tools for precision oncology, with particular emphasis on translating genomic discoveries into clinical applications through biomarker discovery and therapeutic strategy optimization.

Maria Rogersمشاهده پروفایل

دانشیار

• Child and Youth Well-being
• ADHD and Neurodevelopmental Disorders
• School Absenteeism
• +۴ مورد دیگر

Maria Rogers is an Associate Professor in the Counseling Psychology program at Carleton University, holding the prestigious Tier II Canada Research Chair in Child and Youth Well-being. She concurrently serves as an Adjunct Professor in the Faculty of Education at the University of Ottawa, where her institutional email is maintained. Her clinical credentials include licensure as a child and adolescent psychologist in Ontario and Quebec, enabling direct practice alongside academic work. Professor Rogers' research program centers on interpersonal dynamics in child development, with three interconnected pillars: (1) relational health of children with neurodevelopmental disorders (particularly ADHD) and its academic implications, (2) chronic school absenteeism and its mental health correlates, and (3) Indigenous children's educational well-being through community partnerships. Her work consistently examines how parent-child and teacher-student relationships mediate learning outcomes, especially during crisis periods like the COVID-19 pandemic. Analysis of her recent publications reveals evolving methodological sophistication, transitioning from single-institution studies to national longitudinal designs. Key emerging trends include intersectional analysis of ADHD symptomatology across gender identities, integration of physical activity metrics into mental health models, and development of virtual single-session interventions for parental support. Her work increasingly incorporates Indigenous research methodologies through community-led partnerships. Scientific Recognition: Tier II Canada Research Chair in Child and Youth Well-being As co-founder of the Canadian Partnership for School Attendance (CPSA), Rogers leads a transdisciplinary research collective involving school boards, mental health agencies, and Indigenous communities. Her lab develops evidence-based frameworks for addressing school absenteeism, with recent focus on pandemic recovery strategies and culturally responsive interventions for Indigenous youth. Current projects examine the effectiveness of mindfulness adaptations for neurodiverse learners and longitudinal tracking of mental health trajectories following school reintegration.

Emma Colamarinoمشاهده پروفایل

پژوهشگر

• Electroencephalographic (EEG) Signal Processing
• Electromyographic (EMG) Signal Processing
• Brain-Computer Interfaces (BCI)
• +۴ مورد دیگر

Emma Colamarino is a Researcher at the Department of Computer, Control and Management Engineering "Antonio Ruberti" of Sapienza University of Rome. She holds an M.Sc. in Biomedical Engineering (2014, cum laude) and a Ph.D. in Bioengineering (2019). Since 2015, she has been a research collaborator at the Neuroelectrical Imaging and Brain-Computer Interfaces Lab of IRCCS Fondazione Santa Lucia in Rome and served as a Visiting Ph.D. student at Imperial College London (2018). From 2019 to March 2023, she was a Post-Doctoral Fellow at Sapienza University. Her research focuses on Advanced electroencephalographic (EEG) and electromyographic (EMG) signal processing Brain-Computer Interface (BCI) protocols for cerebral function recovery Machine learning in neurorehabilitation Hybrid BCIs integrating cortico-muscular networks Recent publications address stroke rehabilitation, BCI design, spectral graph theory, and EMG-EEG integration. Her work spans biomedical data analysis, neuroengineering, and rehabilitation technology validation. Scientific awards include multiple grants from Sapienza University and the Italian Ministry of Health, a Student Award at the 7th International BCI Meeting (2018), and recognition as a Subject Expert (2019). She has supervised/co-supervised 18 MD theses across Biomedical, Management, and Robotics Engineering disciplines.

• Cognitive Science
• Quantum Theory in Information Modeling
• Learning Analytics
• +۶ مورد دیگر

Kirsty Kitto is an Associate Professor at the University of Technology Sydney in the Learning Design and Technology Unit. With a background in theoretical physics and computer science, her research focuses on developing quantum-inspired models of contextuality to understand complex human behavior in educational systems. She explores the intersection of Artificial Intelligence (AI) , Learning Analytics , and Educational Theory , seeking to bridge the divide between big data and pedagogical frameworks. Current Appointments : Associate Professor (2020-present), Senior Lecturer (2017-2020) Past Academic Roles : Senior Research Fellow (QUT), Senior Lecturer (QUT), Associate Lecturer (Flinders University) Her funded research includes projects on: Quantum models in cognitive systems (ARC Fellowship DP1094974) AI literacy in digital workplaces (IEEE Transactions study) Contextual learning analytics (DVC Education and Students Division) Skills passports for lifelong learning (UMAP 2024 paper) Kitto's recent work examines human-AI interaction in writing assessment, data storytelling for teacher-centered analytics, and causal modeling to strengthen educational theory-data connections. She actively supervises Masters and PhD students and contributes to policy debates through government submissions on generative AI in education. Her methodology combines mathematical formalism with sociotechnical analysis to address educational complexity.

Erin Comartinمشاهده پروفایل

استاد

• Criminal Justice Social Work
• Mental Health Interventions in Justice Settings
• Sex Offender Policy and Management
• +۴ مورد دیگر

Erin Comartin is a Professor at Wayne State University School of Social Work, where she has served on faculty since 2016 after transitioning from Oakland University. Her scholarship critically examines social welfare policies and interventions for vulnerable populations within the criminal legal system, with particular emphasis on behavioral health needs and systemic reform initiatives. Her educational foundation includes: Ph.D. in Social Work from Wayne State University MSW from Wayne State University Post-Graduate Diploma of Arts in Community & Family Studies from University of Otago, New Zealand BA in Sociology from Oakland University Comartin's research program integrates clinical expertise from her prior work with homeless youth and domestic violence survivors to address critical gaps in justice-involved behavioral health services. She specializes in sex offender management policies, jail diversion interventions, and Behavioral Threat Assessment teams designed to prevent mass violence. Her methodological expertise spans qualitative, quantitative, and mixed-methods program evaluation with strong community engagement components. Analysis of her 15 most recent publications (2023-2025) reveals intensified focus on suicide prevention in correctional settings, overdose response systems, and law enforcement behavioral health training efficacy. Her work increasingly employs journey mapping and multi-site trial designs to evaluate systemic interventions across rural-urban divides, reflecting evolving priorities in criminal legal health services research. As principal investigator for Center for Behavioral Health and Justice initiatives, Comartin leads community-engaged projects including veteran reentry evaluations and Sequential Intercept Model implementation assessments. Her teaching portfolio encompasses advanced policy analysis, macro practice theory, and program evaluation within Wayne State's social work curriculum.

Bei Beiمشاهده پروفایل

دانشیار

• Sleep Disorders
• Circadian Rhythm
• Clinical Psychology
• +۵ مورد دیگر

Dr. Bei Bei is an Associate Professor at the School of Psychological Sciences, Monash University, and an NHMRC Emerging Leadership (EL2) Fellow. She leads the Behavioural Sleep Medicine service, research, and training at Monash University Healthy Sleep Clinic, focusing on individual differences in sleep-wake behaviors, sleep-mental health relationships, and community dissemination of evidence-based sleep interventions. Doctor of Psychology (Clinical), University of Melbourne PhD, University of Melbourne Her research spans six major areas: Sleep-wake circadian rhythm disorders Cognitive Behavioral Therapy for Insomnia (CBT-I) Psychological/behavioral aspects of sleep Sleep-mental health interactions (mood, anxiety) Adolescent sleep patterns and wellbeing Perinatal/postpartum sleep interventions for women Recent publications (2024-2025) address: Insomnia treatment mechanisms in depression comorbidity Neurodevelopmental impacts of circadian factors Pregnancy-related insomnia risk identification Adolescent sleep facilitators/barriers Integrated models for youth depression and sleep across continents She also contributes to: Antifungal drug tolerance mechanisms RNA polyadenylation dynamics Mitochondrial RNA stability in cancer 3' UTR splice variants in rare diseases Awarded the NHMRC Emerging Leadership (EL2) Fellowship and Early Career Research Grant , Dr. Bei serves on editorial boards for Sleep Medicine Reviews, Sleep, and Behavioral Sleep Medicine journals.

Emanuel Petricoinمشاهده پروفایل

استاد

• Proteomics
• Molecular Medicine
• Biomarker Discovery
• +۳ مورد دیگر

Emanuel Petricoin is a Professor and Co-Director of the Center for Applied Proteomics and Molecular Medicine (CAPMM) at George Mason University's School of Systems Biology, a position held since 2005 with prior leadership at the FDA-NCI Clinical Proteomics Program (1993-2005). His academic affiliation spans proteomics, molecular medicine, and precision oncology within GMU's research ecosystem. His educational background includes: Ph.D. in Microbiology from the University of Maryland, College Park (1990) Dr. Petricoin pioneers clinical proteomics for personalized therapy and biomarker discovery, with seminal work in cancer signaling pathways, tumor microenvironment analysis, and diagnostic assay development. His research integrates proteogenomics, phosphoproteomics, and functional protein analysis to address therapeutic resistance in breast and pancreatic cancers. As a translational scientist, he bridges laboratory innovation with clinical implementation through FDA-regulated platforms. Analysis of his 2024-2025 publications reveals dominant themes in proteogenomic tumor characterization, KRAS/HER2 pathway dynamics, and biomarker-guided immunotherapy. Key trends include spatial proteomics of tumor heterogeneity, extracellular vesicle-mediated signaling, and quantitative assessment of drug targets for precision oncology decision-making. The work consistently emphasizes clinical applicability through CLIA-certified assays and molecular tumor boards. His scientific recognition includes: University Professorship at George Mason University NIH Director’s Award FDA Distinguished Scientist Award 2015 Innovator of the Year Award GAP50 Top Virginia Entrepreneurs Nifty 50 Award American Society of Cytopathology Basic Research Award Roche Diagnostics/CLAS Distinguished Scientist Award Harvard University Leading Edge Award Dr. Petricoin drives research commercialization as co-founder of four biotech firms (Theranostics Health, Ceres Nanosciences, C-4 Diagnostics, Perthera) and co-inventor of 40+ patents. His editorial leadership spans Proteomics, Cancer Epidemiology Biomarkers and Prevention, and other high-impact journals. He actively shapes national initiatives as a HUPO founding member and Virginia Health Research Biosciences Corporation board representative. The CAPMM under his co-direction serves as a national hub for clinical proteomics, specializing in reverse-phase protein array (RPPA) technology, laser capture microdissection, and biomarker validation for direct patient care applications. The center integrates multi-omic data to advance personalized cancer therapy through industry partnerships and clinical trial support.

Amber Huppمشاهده پروفایل

استاد

• Analytical Chemistry
• Environmental Chemistry
• Chemometrics
• +۲ مورد دیگر

Amber Hupp is a Professor in the Department of Chemistry at the College of the Holy Cross, where she serves as both a faculty member and Gifted High School Advisor. Her expertise spans Analytical Chemistry and Environmental Chemistry, with significant contributions to biodiesel analysis and chemistry education. She earned her Ph.D. from Michigan State University and teaches courses including Environmental Chemistry, Atoms & Molecules, Equilibrium & Reactivity, and Instrumental Chemistry/Analytical Methods. Professor Hupp's research focuses on applying Gas Chromatography-Mass Spectrometry (GC-MS) and chemometric methods like Principal Component Analysis (PCA) to characterize biodiesel feedstocks and blends. Her work develops analytical frameworks for identifying biodiesel sources, optimizing chromatographic separations, and extending ASTM standards to renewable fuels. She also pioneers creative pedagogical approaches for non-science majors, emphasizing societal relevance in chemistry education. Her publication record from 2006-2022 reveals three interconnected research streams: 1) Advanced chromatographic techniques for biodiesel analysis, 2) Chemometric modeling of complex fuel systems, and 3) Educational innovations in chemistry curriculum design. This work consistently bridges analytical method development with practical environmental applications. No scientific awards were mentioned in the source material. While specific grant details aren't provided, Professor Hupp actively mentors undergraduate researchers as evidenced by student co-authorships across her publications. Her educational work demonstrates commitment to advising non-science majors through curriculum development. She leads the Hupp Lab at Holy Cross, which specializes in analytical environmental chemistry using GC-MS instrumentation. The lab focuses on biodiesel characterization, chemometric data analysis, and forensic applications of fuel analysis, providing hands-on research experience for undergraduate students.

Vir V. Phohaمشاهده پروفایل

استاد

• Cyber Security
• Machine Learning
• Biometrics
• +۴ مورد دیگر

Vir V. Phoha is a distinguished Professor in the Department of Electrical Engineering and Computer Science at Syracuse University's College of Engineering and Computer Science. He holds multiple prestigious fellowships including AAAS, AAIA, IEEE, NAI, and SDPS, and was named an ACM Distinguished Scientist in 2008. Dr. Phoha's research spans across cybersecurity, machine learning, and biometrics. His work focuses on cutting across conventional disciplines to unify basic and common concepts, particularly in security (malignant systems, active authentication), machine learning (decision trees, statistical, and evolutionary methods), and computer networks (anomalies, optimization). He develops field-realizable defensive and offensive cyber-based systems using these methodologies. His recent publications reveal a strong focus on continuous authentication, biometric security, fake news detection, and adversarial challenges in cybersecurity. The research shows an evolution from traditional network security to more specialized areas like wearable device security, keystroke dynamics, and gait authentication. Scientific Awards: Fellow of AAAS, AAIA, IEEE, NAI, SDPS ACM Distinguished Scientist (2008) IEEE Computer Society Distinguished Visitor (2024-2026) ACM Distinguished Speaker (2012-2015) IEEE Region 1 Technological Innovation Award (2017) "Highest Impact Award" IEEE CVPR 2018 Workshop on Biometrics Dr. Phoha serves as an associate editor for the ACM journal, ACM Digital Threats: Research and Practice (DTRAP) , and as an associate editor of IEEE Transactions on Computational Social Systems (TCSS) . He has advised numerous students who have gone on to publish significant research in cybersecurity and biometrics. His work has been supported by grants from DARPA and NSF, including the development of the BB-MAS dataset which became one of IEEE DataPort's most popular datasets.

Neetesh Sharmaمشاهده پروفایل

استادیار

• Infrastructure Resilience
• Socioeconomic Impacts of Natural Hazards
• Uncertainty Quantification
• +۳ مورد دیگر

Neetesh Sharma is an Assistant Professor at the FAMU-FSU College of Engineering in the Civil & Environmental Engineering Department . His work focuses on enhancing community well-being through infrastructure resilience, socioeconomic impacts of natural hazards, and uncertainty quantification. He holds a Ph.D. (2020) and M.S. (2016) from the University of Illinois Urbana-Champaign and a B.Tech. (2010) from National Institute of Technology Tiruchirappalli, India. Research Interests include: Infrastructure Resilience and Post-disaster Recovery Socioeconomic Impacts of Natural Hazards Uncertainty Quantification in Infrastructure Systems Recent publications emphasize risk analysis, functional connectivity modeling, and seismic resilience. His work integrates mathematical frameworks with real-world applications to improve disaster preparedness and recovery strategies. Collaborative participatory approaches and digital twin technologies are key themes in his research. Current opportunities include 2 PhD student openings. Contact via email or visit his Google Scholar profile .

• Cybersecurity
• Data Privacy
• Machine Learning
• +۳ مورد دیگر

Dr. Dima Alhadidi is an Associate Professor in the School of Computer Science at the University of Windsor. His research focuses on Cybersecurity, Data Privacy, Machine Learning, and their applications in Health Informatics, Cloud Computing, and Smart Grids. He holds a PhD in Computer Science and Software Engineering from Concordia University (2010). His research interests include secure federated learning frameworks, privacy-preserving techniques for genomic and health data, and adversarial machine learning defenses. Notable contributions include Trustformer (2025), secure aggregation methods in federated learning, and hybrid malware classification using deep learning. Recent work emphasizes mitigating membership inference attacks and developing privacy-preserving analytics for distributed systems. Dr. Alhadidi actively advises graduate students on topics like social network clustering (NICASN 2022) and federated learning security. No scientific awards are explicitly listed. His research spans theoretical frameworks (e.g., λ_AOP calculus) to applied systems in smart grids and healthcare informatics.

Vitor Limaمشاهده پروفایل

استادیار

• Consumer Culture Theory
• Artificial Intelligence
• Biohacking
• +۶ مورد دیگر

Vitor Lima serves as Assistant Professor of Marketing at ESCP Business School's Madrid campus. His academic journey includes a Postdoctoral Fellowship at Schulich School of Business/York University, establishing his international research profile. PhD in Business Administration (Marketing) from IAG/PUC-Rio and Schulich School of Business/York University MSc in Business Administration from FGV/EBAPE MBA in Marketing from FGV BA in Advertising with Branding extension from ESPM Digital Marketing Strategy Executive Certificate from Harvard University Professor Lima's research explores the intersection of emerging technologies and consumer behavior through critical theoretical lenses. His work examines how biohacking, transhumanism, and AI reshape human identity and consumption practices. He investigates consumer experiences with cyborg technologies, self-tracking devices, and human enhancement, often employing enactive and posthumanist frameworks to analyze these phenomena. His research methodology frequently incorporates arts-based and speculative approaches to examine technological futures. His recent publications reveal a strong focus on posthuman consumer identities, with significant contributions to understanding biohacking cultures, NFT implications, and human-robot interactions. The interdisciplinary nature of his work bridges marketing, philosophy of technology, and medical humanities, creating novel theoretical syntheses for analyzing technologically mediated consumption. AMS Mary Kay Doctoral Dissertation Award AMS Review - Sheth Foundation Doctoral Competition for Conceptual Articles (ADCCA) ACR Best Working Paper Award Professor Lima actively engages with media outlets including the BBC, translating complex academic concepts for broader public discourse. His collaborations extend beyond academia into practical applications of marketing theory, particularly regarding digital transformation and emerging technology adoption. His research on biohacking and human enhancement technologies has generated significant cross-disciplinary interest, influencing both academic and industry discussions about the future of consumer experiences.

Päivi Häkkinenمشاهده پروفایل

استاد

• Educational Technology
• Collaborative Learning
• Computer-Supported Collaborative Learning (CSCL)
• +۴ مورد دیگر

Päivi Häkkinen is a **Professor and Vice Director** at the **Finnish Institute for Educational Research (FIER)**, part of the University of Jyväskylä. Her research focuses on technology-enhanced learning, particularly in collaborative problem-solving, computer-supported collaborative learning (CSCL), and the integration of virtual/augmented reality in education. She leads projects like the EDUCA Flagship for future education and LearnDigi , exploring digitalization in learning. Research Interests: She investigates ICT integration in education, learning analytics, and the cognitive and social dynamics of collaborative learning. Her work emphasizes remote collaboration mechanisms, digital tools for assessment, and AI-driven educational innovation. Key Projects: EDUCA Flagship: Addresses future education challenges through interdisciplinary research. LearnDigi: Examines technology’s role in knowledge construction and digitalization impacts. METEOR: Enhances transversal skills for early career researchers via teamwork methodologies. Recent Work Trends: Her publications analyze joint attention in remote collaboration, AI-human partnerships in education, and neural bases of problem-solving. She emphasizes practical applications for teachers and educators. Labs/Teams: Active in FIER and LearnDigi, focusing on collaborative learning design and technology evaluation.