جست‌وجوی استاد و پژوهشگر

Siqi Weiمشاهده پروفایل

دانشیار

• Institutional Investment
• Market Efficiency
• Corporate Finance
• +۴ مورد دیگر

Siqi Wei, Ph.D., is an Associate Professor of Finance in the Department of Finance, Financial Planning, and Insurance at the David Nazarian College of Business and Economics, California State University, Northridge, where he holds the Stelmar Family Faculty Fellowship. His research examines institutional investors, market efficiency, corporate finance, and emerging financial technologies, with recent emphasis on skill-biased technological change and its labor finance implications. Dr. Wei's scholarly contributions appear in leading journals including the Journal of Corporate Finance, International Review of Financial Analysis, and Emerging Market Review, with findings highlighted by Bloomberg and Columbia Law School's Blue Sky blog. His work bridges theoretical finance with real-world market dynamics and technological disruption. He teaches undergraduate and graduate courses such as Corporate Finance, Investments, Quantitative Finance I & II, Financial Modeling with Python, and Personal Finance, integrating practical coding skills with core financial theory. As Faculty Advisor for the FMA-CSUN chapter, he actively mentors student researchers in finance. Leadership Roles Associate Director, Center for Asian Finance and Business Research (CAFBR) Faculty Advisor, Financial Management Association (FMA) CSUN Chapter Professional Recognition Stelmar Family Faculty Fellow

Gregory J. Hannonمشاهده پروفایل

استاد

• Small RNA Biology
• RNA Interference
• Cancer Biology
• +۷ مورد دیگر

Gregory J. Hannon is a distinguished Professor at Cold Spring Harbor Laboratory (CSHL) and an Investigator of the Howard Hughes Medical Institute, renowned as one of the world's foremost authorities on small RNA biology and RNA interference. His research has significantly advanced our understanding of gene regulation mechanisms with profound implications for cancer treatment and genome stability. Hannon's educational background includes training that led to his current position as a leading molecular biologist. His research focuses on the biological roles of small RNAs and the mechanisms by which they operate, with particular emphasis on germ cells (which have the most elaborate set of small RNA pathways) and cancer biology (especially breast and pancreatic cancer). His laboratory's groundbreaking work has identified and characterized major biogenesis and effector complexes for small interfering RNAs and microRNAs, including Dicer, RISC, and elements of the Microprocessor. More recently, his team has made significant discoveries regarding piwi-interacting RNAs (piRNAs) and their role in defending the genome from mobile genetic elements. Among his most significant publications are studies on the structure of human Argonaute protein, mechanisms of transposon defense in germ cells, and how breast tissue 'remembers' a first pregnancy through epigenetic changes. His research has consistently appeared in top-tier journals, with several publications recognized by Science as 'Breakthrough of the Year.' Elected to National Academy of Sciences (2012) NIH MERIT Award from National Institute of General Medical Sciences (2013) National Academy of Sciences Award in Molecular Biology (2007) Geoffrey Marshall Mentoring Award from Northeastern Association of Graduate Schools (2011) Howard Hughes Medical Institute Investigator Hannon has mentored 12 postdoctoral fellows and 17 graduate students, with exceptional outcomes including multiple prestigious awards for his trainees. Over 60% of his 200+ publications include graduate student co-authorship. His laboratory has developed innovative technologies including RNAi libraries targeting entire genomes and methods used in Neanderthal genome sequencing. He also serves as director of the Cancer Research UK Cambridge Institute, demonstrating his international leadership in cancer research.

Helmut Bölcskeiمشاهده پروفایل

استاد

• Applied Mathematics
• Machine Learning Theory
• Mathematical Signal Processing
• +۳ مورد دیگر

Prof. Dr. Helmut Bölcskei is a Full Professor of Mathematical Information Science at ETH Zurich's Department of Information Technology and Electrical Engineering. He holds a joint affiliation with the Department of Mathematics. His academic journey includes a Dipl.-Ing. and Dr. techn. from Vienna University of Technology, followed by postdoctoral research at Stanford University and industry roles at Iospan Wireless and Celestrius AG. He has been at ETH Zurich since 2002, contributing to applied mathematics, machine learning theory, signal processing, and statistics. Education : 1994: Dipl.-Ing., Vienna University of Technology 1997: Dr. techn., Vienna University of Technology Industry Experience : Co-founder of Iospan Wireless (acquired by Intel) and Celestrius AG His research focuses on applied mathematics , machine learning theory , and data science , with emphasis on neural network approximation, metric entropy, and signal processing. Recent work explores theoretical limits of deep learning and nonlinear system identification. His publications highlight advancements in quantization, compression, and system complexity analysis. Prof. Bölcskei has received numerous accolades, including IEEE Fellow status, the 2010 Vodafone Innovations Award, and the ETH 'Golden Owl' Teaching Award. He served as Editor-in-Chief of the IEEE Transactions on Information Theory (2010–2013) and has held editorial roles in multiple journals. His leadership includes roles on the Board of Governors of the IEEE Information Theory Society and as a delegate for faculty appointments at ETH Zurich. Labs/Teams : Mathematical Information Science Group at ETH Zurich's Department of Information Technology and Electrical Engineering

James B. Kellyمشاهده پروفایل

استاد

• Canadian Judicial Politics
• Comparative Judicial Politics
• Canadian Charter of Rights and Freedoms
• +۳ مورد دیگر

Dr. James B. Kelly is a Professor of Political Science at Concordia University, specializing in Canadian and comparative judicial politics, the Canadian Charter of Rights and Freedoms, and the politics of Northern Ireland. He holds a PhD from McGill University (1999) and a BA (Honours) from the University of Toronto (1992). His research explores the judicialization of politics in parliamentary systems and has been funded by SSHRC and FQRSC. Notably, his books Governing with the Charter (2005) and Constraining the Court (2024) were finalists for the Donner Prize. Dr. Kelly has held visiting appointments at institutions such as McGill University, the University of Melbourne, and Bar-IIan University. He has contributed to academic leadership roles, including Co-editor of the Canadian Journal of Political Science , and served as Graduate Program Director and Associate Chair at Concordia. His current research examines human rights protection in Northern Ireland under a SSHRC-funded project. His teaching spans courses on Canadian politics, Northern Ireland politics, and constitutional law. Dr. Kelly has advised governments and parliamentary committees in Canada, Australia, New Zealand, and Northern Ireland, reflecting his expertise in legislative scrutiny and human rights policy. Key awards include Donner Prize nominations (2006, 2024) and recognition for his scholarly contributions to constitutional dialogue and federalism. His work bridges academic research with practical policy analysis, influencing debates on judicial power and legislative processes in parliamentary democracies.

• Computational Statistics
• Machine Learning
• Monte Carlo Methods
• +۵ مورد دیگر

Alain Durmus is a Professor at École Polytechnique, affiliated with the CMAP (Applied Mathematics Department). His research focuses on computational statistics, machine learning, and stochastic methods for Bayesian inference and generative models. Key areas include Monte Carlo methods, stochastic optimization, and Riemannian geometry in optimization. He has contributed to theoretical advancements in Markov processes and their applications in sampling algorithms. Affiliations: École Polytechnique (CMAP), ENS Paris-Saclay (teaching roles), and other academic collaborations. Teaching: Courses on mathematical statistics, stochastic methods, probability theory, and optimization at ENS Paris-Saclay and École Polytechnique. Research Interests: Development of Monte Carlo algorithms, stochastic approximation schemes, and theoretical analysis of Markov chain convergence. Specializes in Bayesian statistics, generative models, and high-dimensional inference. His work bridges theory and application, with notable contributions to Langevin dynamics, nonreversible MCMC methods, and federated learning. He has received a Best student paper award at ICASSP 2020 for collaborative research on Bayesian computation using Sliced-Wasserstein distances. Alain’s publications span prestigious journals like the Annals of Applied Probability and SIAM, with a focus on algorithmic innovation and rigorous mathematical foundations.

Maryam Safariمشاهده پروفایل

مدرس ارشد

• Accounting
• Accountability
• Corporate Governance
• +۴ مورد دیگر

Dr. Maryam Safari is a Senior Lecturer at RMIT University in the School of Accounting , Department of Accounting, Info Sys & Supply Chain. Specializes in accounting, corporate governance, ethics, and qualitative research Focuses on social capital, technology impact, and accountability frameworks Her research spans: Corporate Governance : Board effectiveness, ASX compliance, remuneration structures Accountability : Multinational corporate responsibility, post-disaster reforms Education : ICT integration in curricula, learner engagement dynamics Sustainability : Environmental disclosures, GRI standards Recent publications examine: Gender equality implementation challenges Digital transformation in accounting education Voluntary disclosure practices during crises Scientific awards include: 2025 Wiley Top Cited Article Award for work in Accounting & Finance Professional roles: Chair, Accounting History Special Interest Group (AFAANZ) Chair, RMIT Women Researchers’ Network Editor, Issues in Accounting Education journal Open to Masters Research and PhD student supervision .

Doudou Zhouمشاهده پروفایل

استادیار

• Electronic Health Records Data Analysis
• High-dimensional Statistics
• Federated Learning
• +۶ مورد دیگر

Doudou Zhou is an Assistant Professor of Statistics & Data Science at the National University of Singapore. Previously, he was a Postdoctoral Research Fellow in Biostatistics at Harvard University (2022-2024), and earned a Ph.D. in Statistics from UC Davis (2022), advised by Prof. Hao Chen. He holds dual B.S. in Statistics and B.E. in Computer Science from USTC (2019). His research focuses on developing statistical methods and machine learning techniques for electronic health records (EHR) data, including federated learning, reinforcement learning, graph neural networks, and high-dimensional statistics. Key interests include representation learning for multi-institutional data harmonization and precision medicine applications. Notable awards include the 2023 Harvard Data Science Initiative Postdoctoral Fellowship and 2022 ICSA Student Poster Award. He teaches Applied Natural Language Processing (ST5230) and actively contributes to journal reviewing (e.g., JASA, Biostatistics). His work spans algorithm development in federated reinforcement learning and transfer learning for heterogeneous domains. He leads a research group exploring topics such as knowledge graph integration, multimodal EHR analysis, and fair federated learning systems. His code contributions include implementations for federated offline RL and change-point detection methods.

• Bioinformatics
• Cancer Research
• Medical Data Analysis
• +۳ مورد دیگر

Mi is an Adjunct Assistant Professor of Medical Oncology and Hematology at Yale School of Medicine, affiliated with the Pusztai Lab. He holds a PhD in biocybernetics and biomedical engineering from Silesian University of Technology (2013), with additional training at the Medical University of Gdańsk and Yale. His research focuses on bioinformatics, genomic data analysis, and translational oncology, particularly in cancer biomarker discovery and improving therapies through single-cell RNA sequencing and genomic profiling. He has contributed to over 21 peer-reviewed journal articles and 60 conference abstracts. Research interests include computational analysis of medical data (e.g., ATAC-seq, RNA-seq), biomarker validation for breast cancer subtypes, and integration of radiomics/multi-omics data. He has been recognized with scholarships from Polish science ministries and EU-funded programs. Recent work explores therapeutic targets like PCK2 in triple-negative breast cancer and the clinical impact of blood removal techniques in cytology samples. Key achievements: Co-authoring studies linking hormone receptor-positive HER2-negative cancers to triple-negative subtypes, developing tools like EpidermaQuant for histological analysis, and evaluating synthetic data methods for object detection in public transport systems. Awards: Minister of Science and Higher Education Scholarship (Poland), DoktoRIS Scholarship, and Best PhD Student Scholarship. Labs/Teams: Active in the Pusztai Lab, collaborating with institutions globally on translational cancer research.

• Control Engineering
• Networked Control Systems
• Multi-Agent Systems
• +۶ مورد دیگر

Qinglong Han is the Pro-Vice Chancellor (Research Quality) and a Distinguished Professor at Swinburne University of Technology in Melbourne, Australia. He previously held academic and leadership roles at Griffith University and Central Queensland University. His research focuses on networked control systems, multi-agent systems, time-delay systems, smart grids, and unmanned vehicles. He is a Fellow of IEEE, IFAC, and multiple other institutions, and has received prestigious awards including the IEEE Dr.-Ing. Eugene Mittelmann Achievement Award (2024) and Norbert Wiener Award (2021). His research interests span control engineering, applied mathematics, and artificial intelligence. Notable contributions include secure platooning control for autonomous vehicles, resilient control under cyber-physical threats, and optimization of industrial systems. He leads editorial roles in journals like IEEE Transactions on Industrial Informatics and IEEE/CAA Journal of Automatica Sinica. His work emphasizes interdisciplinary applications in smart grids, robotics, and industrial automation. Dr. Han has supervised numerous PhD students in areas like networked control and vehicle dynamics. He has secured grants from ARC and NSFC for projects on networked control systems and renewable energy integration. His achievements include multiple best paper awards and recognition as a Clarivate Highly Cited Researcher in Engineering and Computer Science.

• Digital Signal Processing
• Image Processing
• Multimedia Communications
• +۳ مورد دیگر

Marco Carli is a Full Professor at the Department of Industrial, Electronic, and Mechanical Engineering, Roma Tre University, Italy. He holds a Laurea in Telecommunication Engineering from Università degli Studi di Roma 'La Sapienza' and a Ph.D. from Tampere University of Technology. His research focuses on digital signal and image processing applied to multimedia communications, including digital watermarking, multimedia quality evaluation, and information security. He has led projects such as EHEM (medieval architecture modeling), ISEEYOO (AI-based anomaly detection), and INSECTT (secure IoT-AI systems). Carli serves as an Associate Editor for IEEE Transactions on Image Processing and Area Editor for Signal Processing: Image Communication. He is an IEEE Senior Member. His work spans over 55 journal publications and numerous conferences, addressing topics like immersive VR applications, cybersecurity, and perceptual quality metrics. Education: Laurea in Telecommunication Engineering, Università di Roma 'La Sapienza', 1990s Ph.D. in Telecommunication Engineering, Tampere University of Technology, Finland Projects: EHEM: Digital modeling of medieval architecture and art ISEEYOO: Anomaly detection in Cyber-Physical Systems INSECTT: Secure IoT systems with AI Research Interests: Signal/image processing for multimedia Quality evaluation and watermarking Cybersecurity and IoT applications Awards: None explicitly listed Grants/Advising: Multiple EU-funded projects (e.g., ImmerSAFE, RESISTO, ATENA) and collaborations with industry partners like Thales Alenia Space.

Stephen W. Stoefflerمشاهده پروفایل

استاد

• Poverty and Social Justice
• Macro Social Work
• Social and Economic Justice
• +۴ مورد دیگر

Stephen W. Stoeffler serves as Professor in the Department of Social Work within Kutztown University's College of Liberal Arts and Sciences, bringing extensive experience from prior academic appointments at Widener University, Temple University, West Chester University, and The University of Valley Forge. His career bridges macro-oriented social work practice and education, with direct field experience in child welfare, probation and parole, older adult protective services, and family homelessness. His educational foundation includes a Ph.D. in Social Work from Widener University, an MSW from Temple University, and a BSW from Shippensburg University. Ph.D. in Social Work, Widener University MSW, Temple University BSW, Shippensburg University Dr. Stoeffler's research critically examines structural poverty, racism, and housing insecurity through intersectional frameworks. His work consistently advocates for community empowerment and integrates spirituality with social justice, challenging individualistic explanations of poverty while promoting macro-level interventions. He champions the integration of poverty curriculum across social work education and explores professional identity formation within the discipline. His publication trajectory (2015-2024) reveals a methodical progression from foundational poverty theory toward contemporary analyses of environmental racism and structural homelessness. Recent work increasingly employs systematic reviews and critical analyses to expose systemic failures while proposing community-centered solutions, with growing emphasis on environmental justice and intersectional oppression. Professional engagement spans national leadership and community action: Macro Curricular Guide National Task Force Work Group Member Mid-Atlantic Regional Representative/Board Member, ACOSA Special Commission to Advance Macro Practice in Social Work Mayor's Commission to Combat Poverty (Lancaster, PA) Advisory Board, Lancaster Bible College Social Work Program Reviewer for Journal of Community Practice, Families in Society, and 5 additional journals His community impact extends through roles as Resource Parent Pre-Service Trainer for COBYS Family Services and Advisory Board Member for Hope Inspire Love, demonstrating commitment to translating theory into community-based practice. Current work focuses on structural solutions to poverty through policy advocacy and curriculum transformation.

IAKOVOS VENIERISمشاهده پروفایل

دانشیار

• Commercial Law
• Banking Law
• Consumer Law
• +۳ مورد دیگر

IAKOVOS VENIERIS is an Associate Professor of Private Commercial Law at the University of Athens. He holds an LLM from the University of Köln (2001) and a PhD from the University of Athens (2005). His research focuses on commercial law, banking law, consumer protection, and intellectual property law. He is a member of the Board of the Company for Research in Commercial and Finance Law (EMEOD) and has authored seven monographs and numerous articles on topics such as public-private partnerships, asset securitization, and corporate governance. Education: Bachelor of Laws, University of Athens (1999) LLM in Law, University of Köln (2001) Doctor of Laws (PhD), University of Athens (2005) Research Interests: His work spans commercial law frameworks, including banking regulations, consumer rights under Greek and EU law, and intellectual property disputes. Recent studies emphasize corporate governance in Societe Anonymes (SA) and legal challenges in public-private partnerships (PPPs). He has contributed to legislative analyses of asset securitization (Law 3156/2003) and consumer protection mechanisms under Law 2251/1994. Publications: Venieris has authored seminal works such as Public-Private Partnerships – The PPP Contractual Framework (2007) and Asset Securitisation Pursuant to Law 3156/2003 (2005). His articles address contemporary legal issues like shareholder liability in corporate liquidation, trademark infringement defenses, and the judicial audit of banking contracts. Affiliations: He serves on the Board of EMEOD, a key institution for commercial and finance law research in Greece. His academic contributions also include editorial roles for legal journals and participation in honorary volumes dedicated to prominent legal scholars.

Aakash Bansalمشاهده پروفایل

مدرس

• Antennas and Metamaterials
• RF Design and Measurements
• 5G/6G Communications
• +۵ مورد دیگر

Aakash Bansal is a Lecturer in Applied Electromagnetics and a Royal Academy of Engineering UK Intelligence Community Research Fellow at Loughborough University. He holds a PhD in Electronics, Electrical and Systems Engineering from Loughborough University (2022) and a BTech in Electronics and Communication Engineering from Guru Gobind Singh Indraprastha University, India (2017). His research focuses on smart antenna systems, metamaterials, millimeter-wave communications, and RF design, with applications in 5G/6G networks, satellite communications, and beam-steering systems. He leads research projects, supervises students, and collaborates internationally. Key roles include Co-Lead of the UK Metamaterials Network+ Active Metamaterials SIG and Guest Editor for journals. Awards include the Royal Academy of Engineering Fellowship (2023), Loughborough University’s Doctoral President’s Award (2022), and Electronics Weekly BrightSparks Award (2020). Research interests span antenna design (e.g., leaky-wave, holographic metasurfaces), beamforming technologies, and RF lens fabrication. Recent work includes developing CubeSat beam-steering antennas and consulting on industrial projects. He actively promotes STEM education through workshops and coding clubs. Key Projects: Active mmWave Antenna Arrays for 5G, CubeSat Antennas, OneWeb Satellite Handover Systems Lab Facilities: Wireless Communications Research Group at Loughborough Grants: Royal Academy of Engineering Fellowship, multiple industry collaborations Publications cover cutting-edge topics like morphing metasurfaces, holographic beamforming, and 3D-printed antennas. He is a sought-after collaborator for antenna design and RF innovation.

Justus Kebschullمشاهده پروفایل

استادیار

• Neural Circuits
• Connectomics
• Cellular and Molecular Neuroscience
• +۱۲ مورد دیگر

Justus Kebschull is an Assistant Professor in the Department of Biomedical Engineering at Johns Hopkins University School of Medicine. His research bridges neuroscience, genomics, and molecular engineering to understand brain structure, evolution, and function across vertebrates. He is affiliated with the Biomedical Engineering Program and the Neuroscience Training Program, mentoring graduate students and leading a dynamic research lab. Research Interests: Dr. Kebschull's work focuses on neural circuits , connectomics , and molecular neuroscience , with a strong emphasis on evolutionary perspectives. He develops and applies cutting-edge technologies such as MAPseq, BRICseq, in situ sequencing, single-cell RNA-seq, and viral tracing to map brain connectivity and gene expression at single-cell resolution. His lab investigates how brain regions and cell types evolve, how circuits adapt to new functions, and how these principles are disrupted in neurodevelopmental disorders and addiction. Publication Trends: His recent publications highlight a strong focus on comparative connectomics , cerebellar evolution , and high-throughput neuroanatomical methods . His work integrates connectivity data with transcriptomic and functional activity profiles, enabling a systems-level understanding of brain organization. Key themes include circuit duplication in brain evolution, scalability of neural mapping, and cross-species analysis from mice to sharks. Scientific Recognition: While no specific awards are listed, his publication record in top-tier journals such as Science , Nature , Cell , and Neuron reflects significant scientific impact and recognition in the neuroscience community. Advising and Research Support: Dr. Kebschull actively mentors graduate students and postdoctoral researchers. His lab is expanding and currently recruiting PhD students, postdocs, and technicians. His research is supported by competitive funding, enabling the development of novel tools for brain mapping and disease modeling. Research Environment: The Kebschull Lab is a highly interdisciplinary team situated at the intersection of neuroscience, synthetic biology, virology, and computational biology. The lab fosters innovation in molecular tool development and applies these to fundamental questions in brain evolution and disease. Ongoing projects include high-throughput comparative connectomics, developmental mechanisms of circuit formation, and the impact of drugs and disorders on neural architecture.

• Accounting
• Finance
• Corporate Finance
• +۵ مورد دیگر

Helen Mengbing Ren is a Lecturer (Assistant Professor) in Accounting at the University of Liverpool Management School. She holds a PhD in Finance from Warwick Business School, a MSc in Accounting and Finance from the University of Warwick, and a BSc in Accounting and Finance from the University of Bristol. She is a Fellow of the Higher Education Academy (HEA) since 2022. Her research focuses on capital markets, empirical corporate finance, corporate disclosures, regulation, information asymmetry, and risk management. Her work has been presented at prominent conferences like the Financial Management Association and the American Accounting Association, and featured in media such as Columbia Law School’s Blue Sky Blog and Global Banking and Finance Review Magazine. Helen’s publications address topics like derivative disclosures, stock price crash risks, and tax avoidance impacts. She has served as an ad hoc reviewer for major journals and conferences. Teaching responsibilities include coordinating modules in Contemporary Issues in Accounting and Finance Research, and Managerial Finance across different program codes. Education: PhD in Finance, Warwick Business School, University of Warwick MSc in Accounting and Finance, University of Warwick BSc in Accounting and Finance, University of Bristol Media Contributions: "Financially Constrained Firms Are More Susceptible to a Stock Price Crash – But Why?" (Banking and Finance Review Magazine, 2018) "How Financial Constraints Affect Stock-Price Crash Risk?" (Columbia Law School’s Blue Sky Blog, 2017) Her research highlights include analyzing the relationship between financial constraints and stock price volatility, evaluating disclosure effectiveness in derivative markets, and exploring insider trading dynamics linked to crash risk.