Find Academic Supervisors

• Immunotherapy
• Melanoma
• Cancer
• +3 more

Sarah Weiss, MD is an Adjunct Assistant Professor of Medicine in the Department of Medical Oncology and Hematology at Yale School of Medicine. She specializes in melanoma and immunotherapy research, leading clinical trials for advanced melanoma treatments. Dr. Weiss completed her medical degree at Albert Einstein College of Medicine, residency at Montefiore Medical Center, and fellowships at New York University School of Medicine. Her research focuses on developing novel immunotherapeutic strategies, particularly overcoming resistance to PD-1/PD-L1 inhibitors through combinations like CD40 agonists and CSF1R inhibitors. She is Principal Investigator on trials involving Sotigalimab and pembrolizumab. Active collaborations include work with Dr. Kluger and Sznol on biomarkers and clinical outcomes. Dr. Weiss contributed to SITC guidelines for melanoma immunotherapy and investigates brain metastases response patterns.

Steven SinkinsView profile

Professor

• Mosquito-borne diseases
• Arbovirus control
• Wolbachia symbiosis
• +4 more

Steven Sinkins is Professor in Microbiology and Tropical Medicine at the University of Glasgow, affiliated with the MRC-University of Glasgow Centre for Virus Research. His research focuses on controlling mosquito-borne diseases through innovative biological approaches. He directs the ANTI-VeC international research network and leads a team investigating microbial solutions to vector-borne pathogens. Research interests center on: Wolbachia symbionts for arbovirus control Microsporidian malaria-blocking symbionts in Anopheles mosquitoes Field implementation of biocontrol strategies against dengue and Zika viruses Molecular mechanisms of pathogen blocking in mosquito vectors Publication analysis reveals consistent focus on: Wolbachia-mediated viral inhibition mechanisms Field trials of novel vector control methods Genetic and symbiotic approaches to disease prevention Mosquito-symbiont-pathogen tripartite interactions Scientific recognition includes: Wellcome Trust Senior Research Fellowship (2006-2021) Leads multiple research grants: Wellcome Trust: Optimal implementation of Wolbachia programmes (2022-2027) Open Philanthropy: Microsporidia symbionts for malaria control (2020-2023) BBSRC: Genetic and symbiotic disease control strategies (2017-2020) Directs the Sinkins Group at the MRC-University of Glasgow Centre for Virus Research, collaborating internationally with partners in Malaysia, Kenya, Burkina Faso, and Australia to develop and implement novel vector control solutions.

• Internet of Things
• Edge Computing
• Artificial Intelligence
• +6 more

Professor Xiaodong Liu is a faculty member at Edinburgh Napier University, affiliated with the School of Computing, Engineering and the Built Environment . His research spans Internet of Things , Edge Computing , Artificial Intelligence , and Cybersecurity , with a focus on decentralized systems and data-driven decision-making. Research Themes : IoT orchestration, federated learning, smart city infrastructure, building maintenance optimization, and automotive cybersecurity. Current Projects : Leading Swarmchestrate (EU-funded), Long-range Perceptive Autonomous Vehicles (Royal Society), and Met-Bot for Disaster Surveillance (Royal Society). His recent publications emphasize privacy-preserving edge learning , semantic IoT data validation , and deep learning for weather prediction . As a supervisor, he has guided PhD students in areas like federated learning, smart building systems, and IoT security. Collaborations include partnerships with institutions in Scotland, China, and Italy, alongside funding from European Commission , Royal Society , and Scottish Funding Council . He contributes to international conferences and journals, with notable work in IEEE Transactions , ACM TAAS , and MDPI publications.

Alessandra BonazziView profile

Assistant Professor

• Groundwater Hydrology
• Fluid Mixing and Transport
• Porous Medium Heterogeneity
• +4 more

Alessandra Bonazzi is an Assistant Professor in the Department of Civil Engineering and Construction Engineering Management at California State University, Long Beach (CSULB). She joined CSULB in 2025 after completing a postdoctoral fellowship at the University of California, Davis, and earning her PhD from the University of Southern California. Her research focuses on groundwater hydrology, particularly examining how fluid properties and porous medium heterogeneity influence fluid mixing and transport. Education: PhD from University of Southern California, B.Sc. and M.Sc. from University of Trento (Italy) Previous Affiliation: Post-doctoral scholar at UC Davis Her work emphasizes applying numerical modeling of contaminant fate and transport to optimize Managed Aquifer Recharge (MAR) technologies for water management. She maintains an active research program addressing fundamental and applied aspects of hydrological processes. Contact: Office: VEC-108A, Office Hours: Mon/Wed 3:30-4:30 pm

Bitaran Jang MadenView profile

Visiting Assistant Professor

• Monetary Economics
• Time Series Econometrics
• Applied Macroeconomics
• +3 more

Bitaran Jang Maden is a Visiting Assistant Professor of economics at Allegheny College in Pennsylvania, where he teaches undergraduate economics courses and advises students. Previously, he served as a Graduate Part-Time Instructor and Teaching Assistant at Texas Tech University from 2016–2022, contributing to curriculum development and student mentorship. Education: PhD in General Economics, Texas Tech University (2022) MBA in Finance, School of Management, Tribhuvan University (2015) B.E. in Civil Engineering, Pulchowk Engineering Campus, IOE (2008) Research Interests: Focuses on monetary economics , time series econometrics , and applied macroeconomics . Explores topics like the price puzzle in VAR models, unemployment insurance impacts on crime, and DSGE modeling of monetary policy effects. Utilizes advanced methodologies such as SVAR, FAVAR, and VEC models. Key Contributions: Published in Applied Economics Letters (2020) and presented at conferences like the Southern Economic Association and Western Economic Association International. Current work addresses long-run cointegration solutions to the price puzzle anomaly. Affiliations: Member of the Allegheny College Business and Economics Department, located in Quigley Hall. Active in teaching and research with certifications in R programming and data analysis from DataCamp.

Christian FibichView profile

Researcher

• Fault-Tolerant FPGA Design
• Reliability Analysis of SRAM-Based FPGAs
• High-Level Synthesis

Christian Fibich is a Researcher and Lecturer at the Department of Electronic Engineering, University of Applied Sciences Technikum Wien, Austria. He leads the Research Group Embedded Systems, focusing on FPGA reliability and high-level synthesis. His roles include project management for R&D initiatives like VECS (2013-2018), INES (2018-2023), and the 2024 Drohnentechnik integration project. Fibich holds an MSc in Embedded Systems from Technikum Wien and has been active in the field since 2010. Research interests include fault-tolerant FPGA design, reliability analysis of SRAM-based FPGAs, and high-level synthesis optimization. His work emphasizes practical applications of open-source tools and automated design exploration. Recent projects explore temperature-dependent fault effects and drone integration in academic programs. Publications span FPGA reliability, fault injection methods, and embedded systems design, with a focus on open-source IP cores and hardware security. His contributions include Fiji (a fault injection tool) and HLShield (a reliability framework for HLS).

• International Finance
• Financial Management
• Corporate Finance
• +3 more

Ece Ceylan AKDOĞAN is an Associate Professor at Çankaya University's Department of Banking and Finance within the Faculty of Economics, Administrative and Social Sciences. Holding a PhD in Business from Hacettepe University (2004), her career spans over two decades at Çankaya University, including roles as Assistant Professor (2005-2006), Associate Professor (2014-present), and Department Chair (2015-2017). She teaches courses such as Business Finance , Macroeconomics , and Special Topics at both undergraduate and graduate levels. PhD in Business (2004), Hacettepe University MBA in Business (1997), Bilkent University BA in Economics (1994), Bilkent University Her research focuses on working capital management , financial globalization , market efficiency , and sustainable economic growth in emerging markets. Recent publications examine globalization's asymmetric impacts on financial markets, renewable energy's role in Turkey's sustainability, and nonlinear dynamics in capital markets. Scientific contributions include editorial roles as Associate Editor for the International Journal of Asian Social Science (2012-2014) and membership in organizations like EURASIA BUSINESS AND ECONOMICS SOCIETY (2013-present). She has supervised 7 Master’s theses on topics ranging from financial development to operational efficiency in SMEs.

Laurie HuningView profile

Assistant Professor

• Hydrology
• Remote Sensing
• Water Resources Management
• +3 more

Dr. Laurie Huning is an Assistant Professor in the Department of Civil Engineering and Construction Engineering Management at California State University, Long Beach's College of Engineering. She joined the institution in Fall 2020 and specializes in hydrologic processes, combining remote sensing with physical and statistical approaches to address global water resources challenges. Education: Ph.D. in Civil Engineering, University of California, Los Angeles (2017) Her research focuses on improving hydrologic estimation, water resources management, and cascading hazard mitigation for extreme events like droughts and floods. She integrates hydrometeorology, climatology, remote sensing, and modeling in her work across diverse spatial and temporal scales. Dr. Huning's scientific achievements include a National Science Foundation (NSF) Earth Science Postdoctoral Fellowship. She maintains office hours Mondays from 11 AM to 12 PM in VEC-204A and can be reached at 562.985.1790 or laurie.huning@csulb.edu.

Pu ChenView profile

Senior Lecturer

• Econometrics
• Quantitative Methods
• Macroeconomics
• +3 more

Mr. Pu Chen is a Senior Lecturer at the School of Accounting, Economics and Finance, Curtin University. Previously, he held positions including Senior Lecturer at Bielefeld University (1991–2007), Acting Chair Professor at Rostock University (2007–2008), Senior Research Fellow at Melbourne University (2008–2010), and Senior Lecturer at Melbourne Institute of Technology (2011–2024). His research focuses on econometrics and quantitative methods, with a particular emphasis on macroeconomic modeling, financial stress analysis, and regime-switching dynamics. He teaches courses in Business Statistics, Econometrics, Data Analytics, and Economics. Key research contributions include studies on wage-price dynamics, financial market spillovers, and the impact of productivity on unemployment. His work often employs advanced econometric techniques such as Vector Error Correction Models (VECM), Threshold VAR, and Multi-Regime Cointegrated VAR (MRCIVAR). He has contributed to the Journal of Economic Dynamics and Control , Studies in Nonlinear Dynamics and Econometrics , and Journal of Macroeconomics , among others. Pu Chen holds a DR. REP. POL. (Economics) from Bielefeld University, Germany, and maintains an active GitHub repository ( puchen8229 ) focused on econometric modeling tools, including the Talk2Data project for interactive data analysis.

Michael PfarrhoferView profile

Assistant Professor

• Bayesian Econometrics
• Time Series Analysis
• Forecasting
• +3 more

Michael Pfarrhofer is an Assistant Professor at WU Vienna University of Economics and Business, Department of Economics, specializing in econometrics and macroeconomics. He previously held positions at the Universities of Vienna and Salzburg and contributes to the European Commission’s Joint Research Centre (JRC) in Ispra. His research focuses on Bayesian econometrics, time series analysis, forecasting, and empirical macroeconomics, with applications to business cycles and policy evaluation. Current Role: Tenure-track Assistant Professor Primary Affiliation: WU Vienna University of Economics and Business Collaborations: JRC (European Commission) Research interests include macroeconomic forecasting using advanced Bayesian methods, nonlinear time series analysis, and the impact of climate shocks on financial markets. His work bridges econometric theory and empirical applications, often involving large datasets and machine learning techniques. Publications span topics like tail-risk prediction, international financial spillovers, and nowcasting methodologies. He teaches courses such as Econometrics II and Economic Modeling, emphasizing practical applications of econometric tools. While no specific scientific awards are listed, his contributions to leading journals (e.g., Journal of Econometrics , Journal of Applied Econometrics ) highlight his scholarly impact. Advising and grant activities are not detailed in the provided texts, though his research often involves collaborative projects with institutions like the JRC.

Malgorzata Malec RawinskiView profile

Associate Professor

• Adult Education
• Educational Gerontology
• Lifelong Learning
• +6 more

Malgorzata Malec Rawinski is an Associate Professor at Stockholm University's Department of Education , specializing in Adult Learning research. With previous affiliations at University of Wrocław and ongoing collaborations with Tokyo University , her work bridges European and global perspectives on ageing education. Research Focus: Biographical learning, educational gerontology, migrant senior communities, and informal learning spaces Projects: Coordinated multiple EU-funded initiatives including "Old Guys Say Yes to Community" and "VEC-U3A Virtual Cultural Centre" Her publications analyze Polish migrants' educational experiences in Sweden using ethnographic and biographical methodologies. Key contributions include Äldres lärande: Utplandar och insikter (2022) and research on Australian Men's Sheds. Awards: Two Swedish Institute postdoctoral fellowships European Commission expert panel invitation (2012) As co-convenor of the Life History and Biography Network (ESREA), she promotes cross-border educational research. Current work explores intersectionality between migration studies, biographical learning, and gerontological pedagogy.

Yu-Fu KoView profile

Professor

• Structural Mechanics
• Structural Engineering
• Dynamics
• +3 more

Dr. Yu-Fu Ko is a Professor in the Civil Engineering and Construction Engineering Management Department at California State University, Long Beach. He holds a Professional Civil Engineer license in California and has been affiliated with CSULB since Fall 2009. Educational Background: B.S. in Structural Engineering, National Taiwan University of Science and Technology M.S. and Ph.D. in Civil Engineering, University of California Los Angeles (recipient of Outstanding Ph.D. Award) Research Interests: Dr. Ko specializes in micro/nano-mechanics modeling of composite materials, micromechanical damage mechanics , nonlinear structural dynamic analysis under earthquake motions, and seismic retrofitting of existing structures. Professional Affiliations: Active member of ASCE, ASME, AISC, ACI, SEAOSC, IACM, and USACM. Peer reviewer for journals including International Journal of Damage Mechanics and Acta Mechanica . Contact: Office: VEC-207 | Phone: 562.985.7884 | Office Hours: Mon. 4-5 pm; Wed. 12-1 pm

• Social Media Analysis
• Artificial Intelligence
• Misinformation Detection
• +6 more

Professor Yang Chen is a leading researcher in computational social science with a focus on AI-driven cyber threats and misinformation ecosystems. As an ACM Senior Member (2022), he contributes to methodological advancements in social media analysis and network science. Current affiliations: [Not specified in source text] Research Themes: Yang Chen's work spans social bot detection, misinformation propagation, and AI ethics in digital platforms. His 2025 studies explore domain-sharing behaviors, political bias in LLMs, and post-API data access challenges. Scientific Contributions: Recent publications (2023-2025) demonstrate expertise in computational epidemiology of misinformation, moral content analysis via vec-tionaries, and health policy informatics through opioid epidemic modeling. 2024 Highlights: Election misinformation dynamics, national internet observatory frameworks 2023 Breakthroughs: AI-generated profile detection, longitudinal vaccine hesitancy studies Scientific Awards: Recognized as ACM Senior Member in 2022 for significant contributions to computing disciplines.

• Virtual Reality (VR)
• Computer Science
• Psychology
• +3 more

Aitor Rovira is a Researcher at the University of Oxford's Department of Experimental Psychology, specializing in Virtual Reality (VR) technology and its applications in mental health. He joined Oxford in 2017 and leads the software development of VR experiences for therapeutic purposes, focusing on improving clinical outcomes through technology. His work bridges computer science, psychology, and clinical practice, with a focus on presence mechanisms, interaction paradigms, and sensory integration in VR. Education: PhD in Computer Science from University College London (VEC Group), followed by postdoctoral research at the IMD Lab, Nara Institute of Science and Technology. Research Interests: VR's role in psychological theory testing, automated therapy systems, and clinical trials for mental health disorders such as psychosis and addiction. Recent work explores VR's impact on cigarette craving triggers, paranoid thought reduction via facial animation, and automated self-confidence therapy. His studies emphasize interdisciplinary collaboration and evidence-based solutions for mental health challenges. Rovira oversees hardware maintenance for research studies and actively contributes to the Oxford Cognitive Approaches to Psychosis group. His publications highlight technological innovations in VR therapy and their translational potential in clinical settings.

Ning ZhangView profile

Professor

• Edge Computing
• Internet of Vehicles (IoV)
• Cybersecurity
• +7 more

Prof. Ning Zhang is a tenured Professor in the Department of Electrical and Computer Engineering at the University of Windsor's Faculty of Engineering. He holds a Tier 2 Canada Research Chair in Edge Computing and the Internet of Vehicles (since 2022) and has been recognized as a 2024 Clarivate Highly Cited Researcher. His research focuses on edge computing, vehicular networks, cybersecurity, federated learning, and 6G systems. He is affiliated with the Centre for Engineering Innovation, where cutting-edge labs were recently established under his leadership. Dr. Zhang's academic achievements include membership in the Royal Society of Canada's College of New Scholars (2024) and the IEEE Rising Star Award (2021). His work bridges theoretical innovations with practical applications in autonomous systems, digital twin technology, and metaverse infrastructure. He advises students like Pegah Mansourian and Mina Zamanirafe, whose research on automotive cybersecurity won international acclaim. His lab explores edge computing optimizations for low-light video analytics, federated learning frameworks, and secure vehicular communication systems. Key Research Themes: V2X security, digital twins, 6G edge infrastructures, AI-driven network optimization Lab Affiliations: Centre for Engineering Innovation Grants: Canada Research Chairs Program funding, NSERC grants (implied via research outputs)