جست‌وجوی استاد و پژوهشگر

• Strategic Human Resource Management
• Family Business Management
• Employee Pensions and Compensation
• +۴ مورد دیگر

Andrew Luchak is an Associate Professor in the Department of Strategy, Entrepreneurship and Management at the Alberta School of Business, University of Alberta. His research focuses on strategic human resource management, family business dynamics, pension systems, and labor relations. He has held this position since at least 1996, evidenced by his SSHRC grants dating back to that period. Luchak teaches courses in human resource management, performance systems, and organization theory at both undergraduate and graduate levels. His research has been supported by major grants including multiple SSHRC General Research Grants (2007-2011, 2001-2005, 1996-2000) and a Human Resources Development Canada grant (2000-2001). Key areas of investigation include the design and consequences of HR practices, psychological contracts in pension plans, and the interplay between union presence and organizational performance. Luchak's work bridges organizational behavior and strategic management, with notable contributions in family firm governance, employee voice mechanisms, and retirement policy analysis. He has published extensively in journals like Human Resource Management Review , British Journal of Industrial Relations , and Industrial & Labor Relations Review . Teaching responsibilities include courses such as SMO 311 (HRM), SMO 416 (Performance Management), and SEM 488 (Organization Theory). His courses emphasize practical HR strategies and contemporary management challenges.

Rémy Jacquemondمشاهده پروفایل

پژوهشگر

• Redox Flow Batteries
• Membrane Technology
• Materials Science
• +۳ مورد دیگر

Rémy Jacquemond is a Postdoctoral Researcher at Eindhoven University of Technology's Department of Chemical Engineering and Chemistry, working within both the Membrane Materials and Processes Group and Electrochemical Materials and Systems Group. His research focuses on developing advanced materials for next-generation redox flow batteries, with particular emphasis on membrane technology and electrode engineering. His academic background includes: BSc in General Chemical Sciences from Institut Universitaire de Technologie (IUT), Montpellier, France MSc in Chemical Engineering with materials science specialization from Ecole Nationale Superieure de Chimie de Montpellier (ENSCM), France Second MSc in Nanoscience, Materials and Processes from Universitat Rovira I Virgili (URV), Tarragona, Spain PhD in Chemical Engineering and Chemistry from Eindhoven University of Technology (2023) His research centers on solving critical challenges in redox flow battery technology, particularly the development of ion exchange membranes stable in organic solvents and engineered porous electrodes. He pioneers the application of neutron radiography for in-situ diagnostics of battery operation and employs non-solvent induced phase separation techniques for precise electrode microstructure control. His work directly contributes to UN Sustainable Development Goals related to clean energy and responsible consumption. Analysis of his publication record reveals a strong trajectory in advanced battery diagnostics and materials engineering, with increasing focus on neutron-based visualization techniques and microstructure-controlled electrode fabrication. His 2024 Nature Communications paper on concentration distribution mapping represents a methodological breakthrough, while his consistent development of phase separation techniques for electrode engineering demonstrates systematic innovation in manufacturing approaches. He has received significant recognition for his contributions: Energy Technology Division Graduate Student Award sponsored by Bio-Logic for work on porous carbon electrodes As an active postdoctoral researcher, Jacquemond contributes to research supervision and project leadership within his groups. His current work focuses on membrane diagnostics and novel porous materials development, with emphasis on improving battery efficiency, longevity, and compatibility with organic electrolytes. He maintains strong industry and academic collaborations, evidenced by multiple co-authored publications with international research teams. He operates within Eindhoven University of Technology's cutting-edge research infrastructure, utilizing specialized facilities for membrane synthesis, electrode fabrication, and advanced characterization including neutron imaging capabilities through partnerships with major research facilities. His work bridges fundamental materials science with practical energy storage applications.

Vivienne Szeمشاهده پروفایل

استاد

• Energy-Efficient Machine Learning
• Computer Vision
• Video Compression/Processing
• +۷ مورد دیگر

Vivienne Sze is a Professor at MIT's Department of Electrical Engineering and Computer Science (EECS), part of the School of Engineering. Her research focuses on energy-efficient computing systems for machine learning, computer vision, and video compression, with applications in autonomous systems, healthcare, and IoT. She leads projects integrating algorithmic innovations with hardware design to achieve low-power solutions for embedded and mobile devices. Her work has been recognized through prestigious awards, including the Primetime Engineering Emmy Award for co-developing the HEVC video compression standard and multiple faculty awards from tech giants like Google and Qualcomm. She co-authored the book *Efficient Processing of Deep Neural Networks*, emphasizing practical hardware-software co-design strategies. Research Interests: Energy-Efficient Machine Learning Accelerators Video Coding and Compression Standards Embedded Systems and Mobile Computing Processing-in-Memory (PIM) Architectures AI for Health Monitoring and Digital Health Sustainability in AI Infrastructure Publications highlight trends in: Optimizing DNNs for edge devices Innovations in entropy coding and CABAC Memory-efficient Gaussian-based algorithms Energy-aware design for photonic computing Awards include IEEE conference best paper awards and industry recognitions for her contributions to video coding and hardware acceleration. Her lab's collaborative efforts span academia and industry, aiming to bridge theoretical research with real-world deployable systems.

Mark Robertsمشاهده پروفایل

استاد

• Industrial Organization
• International Trade
• Firm Dynamics
• +۴ مورد دیگر

Mark Roberts serves as Professor of Economics at Pennsylvania State University and Director of the Federal Statistical Research Data Centers (RDC), overseeing critical infrastructure for confidential federal data access. His academic affiliation centers within the Department of Economics, where he conducts research on industrial dynamics and international trade. Roberts' research focuses on micro-level firm behavior , examining how R&D investment, export exposure, and market structure interact to influence productivity. Key themes include developing economy industrial evolution (particularly China), Swedish manufacturing dynamics , and long-term innovation impacts . His methodology emphasizes granular data analysis to uncover patterns in firm entry/exit and productivity spillovers. Analysis of his 15 most recent publications (2013-2025) reveals dominant economic research trajectories, with 14 articles concentrated in industrial organization and international trade. The sole outlier—a 2023 pediatric medicine paper—contrasts sharply with his core economic scholarship, suggesting possible co-authorship with another researcher sharing his name. His work consistently bridges theoretical economic models with empirical micro-data validation. As RDC Director, Roberts manages secure data facilities enabling high-impact social science research. His leadership connects academic inquiry with federal statistical resources, facilitating studies on business dynamics through integrated data systems as highlighted in his 2014 publication.

Vincent Chongمشاهده پروفایل

مدرس

• Chinese Calligraphy
• Seal Carving
• Painting
• +۶ مورد دیگر

Vincent Chong (莊志明), also known as Crystal Monkey, is a Lecturer in the Department of Art Practice at Stanford University. They are a Queer mixed-race Chinese-American multidisciplinary artist working across calligraphy, seal carving, painting, drawing, and performance. Chong creates community portraits and performances blending high camp drag, gogoboy, and gymnastics aesthetics with live calligraphy. Research Focus: Chinese artistic traditions recontextualized through contemporary queer lens Hybrid performance formats merging visual art with physical theater Exploration of identity through portraiture and cultural symbolism Exhibitions & Performances: Work shown at MoMA PS1, Metropolitan Museum of Art, La MaMa Galleria; Performances at Center for Performance Research, Abrons Art Center, and internationally. Residencies: International Studio & Curatorial Program (ISCP) Fire Island Artist Residency Center for Book Arts Book Artist Residency WOW Project Storefront Residency Gallim residency Major Awards: NYFA/NYSCA Fellowship Brooklyn Arts Council Grants (Creative Equations Fund & Su-Casa) City Artist Corp Grant Huayu Enrichment Scholarship

• Construction Management
• International Construction Business
• Risk Management
• +۵ مورد دیگر

Professor Roger Flanagan is a distinguished academic specializing in construction management with over two decades of research contributions. His work primarily focuses on international construction business, risk management, sustainable building practices, and whole life cost appraisal. Affiliated with the Chartered Institute of Building, London, he has authored numerous technical guides and publications that shape construction industry practices globally. Specializes in international construction business dynamics Expert in risk management and sustainable building practices Author of influential technical guides for the construction industry Research spans construction economics and supply chain management Flanagan's research interests center on the complexities of international construction projects, with particular emphasis on risk management, sustainable building practices, and whole life cost considerations. His work examines how contractors navigate international markets, manage project complexity, and implement sustainable practices. Recent publications address materials procurement in MSMEs, pre-construction planning complexity, and the integration of renewable energy in building projects, reflecting evolving industry challenges. Analysis of his 15 most recent publications reveals a consistent focus on construction management challenges with increasing emphasis on sustainability and international business dynamics. His work spans construction economics, risk management, sustainable building practices, and supply chain management, with particular attention to Korean and Middle Eastern construction markets. The research demonstrates methodological diversity, employing panel threshold regression, system dynamics, and empirical case studies to address complex construction industry problems. Professor Flanagan has made significant contributions through his authored guides for the Chartered Institute of Building, including the Guide to Quality Management in Construction (2021), Site Management and Production Guide (2020), and Code of Quality Management (2019). These practical resources translate academic research into industry applications, demonstrating his commitment to bridging theory and practice in construction management. His collaborative research extends across international boundaries, working with academics from institutions in Asia, Europe, and the Middle East. This global perspective enriches his understanding of diverse construction markets and practices, informing his research on international competitiveness, cross-cultural project management, and global supply chain dynamics. Professor Flanagan's work on construction sector futures, particularly his contributions to Vision 2020 initiatives, demonstrates leadership in anticipating industry trends and challenges. His research on information complexity, system dynamics applications, and decision support systems positions him at the forefront of addressing emerging challenges in digital construction and project management.

• Time series analysis
• Changepoint analysis
• Signal processing
• +۶ مورد دیگر

Xueheng Shi is an Assistant Professor in the Department of Statistics at the University of Nebraska-Lincoln (UNL), with a joint appointment in Biological System Engineering . He joined UNL in August 2022 after postdoctoral positions at UC Santa Cruz (2020–2021) and UC Davis (2021–2022) under mentors Robert Lund, Alexander Aue, and Thomas Lee. Dr. Shi teaches graduate courses including mathematical statistics, asymptotic theory, probability, stochastic processes, and time series analysis. Research Interests: Dr. Shi's work focuses on developing statistical methodologies for time series analysis , changepoint detection , and high-dimensional data . Key applications include climate science, signal processing, and machine learning. His research emphasizes computational algorithm development and theoretical foundations across domains like climate modeling and stochastic optimization. Publications: Recent articles (2019–2024) concentrate on climate change detection , particularly global warming trends and temperature series analysis. Methodological innovations include autocovariance estimation around changepoints, comparative studies of detection algorithms, and reviews of best practices in climatological statistics. Dominant themes are changepoint techniques, environmental data diagnostics, and statistical computing. Advising: Dr. Shi actively mentors graduate students in statistics and invites prospective applicants interested in his research areas to contact him directly.

• Sustainable Human Resource Management (HRM)
• Employee Well-being
• Work Intensification
• +۶ مورد دیگر

Sugumar Mariappanadar is a Senior Lecturer at the Peter Faber Business School , affiliated with the Faculty of Law and Business . His research focuses on Sustainable Human Resource Management (HRM) , employee well-being, work intensification, and corporate sustainability. Developed frameworks for Stakeholder Harm Index and Health Harm of Work metrics. Examined interactions between SDG 8 (Decent Work) and SDG 3 (Health) from HRM perspectives. Contributed to understanding Green HRM , ESG Derivatives , and Work-Family Balance in sustainable organizations. Authored/co-authored 15+ publications in journals like Sustainability , International Journal of Environmental Research and Public Health , and Asia Pacific Journal of Business Administration .

Len Gelmanمشاهده پروفایل

استاد

• Signal Processing
• Condition Monitoring
• Vibration Analysis
• +۴ مورد دیگر

Len Gelman is a Professor and Chair in Signal Processing and Condition Monitoring at the University of Huddersfield's Department of Engineering within the School of Computing and Engineering. He also serves as Director of the Centre for Efficiency and Performance Engineering. His research focuses on advanced signal processing techniques for fault diagnosis in electromechanical systems, vibration analysis, and predictive maintenance. He is actively involved in PhD supervision and has authored over 100 publications, achieving 1499 citations and an h-index of 21. Key research areas include digital twin technology, nonlinear spectral analysis, and machine learning for industrial diagnostics. His work addresses challenges in non-stationary signal processing, motor current signature analysis, and condition monitoring under varying operating conditions. Collaborations include interdisciplinary projects with the Centre for Efficiency and Performance Engineering. Recent studies highlight innovations in fault diagnosis frameworks for rotating machinery, conveyor belt systems, and wind turbines. His contributions bridge theoretical advancements with practical industrial applications, emphasizing explainable AI and adaptive diagnostics. Gelman's research has been presented at major conferences like the World Congress on Engineering and published in specialized journals. Education: Not explicitly stated in the provided text. Awards: High citation count and h-index reflect his significant academic impact. Grants/Advising: Supervised 2 PhD projects; accepting new students in diagnostic engineering and condition monitoring. Labs/Teams: Leads the Centre for Efficiency and Performance Engineering and collaborates with the Department of Engineering's research groups.

• Cybersecurity
• Computer Security
• Information Security
• +۶ مورد دیگر

Matthew Allen Bishop is a Professor in the Department of Computer Science at the University of California, Davis. His primary affiliation is with the College of Engineering. Bishop's research focuses on cybersecurity, including secure programming, insider threat detection, malware analysis, and cybersecurity education. He has contributed extensively to curricular guidelines (e.g., CSEC 2017) and frameworks for cyber defense. His work spans theoretical advancements (e.g., intrusion detection models) and applied systems (e.g., secure voting platforms). Notable research areas include: Cybersecurity Education: Developing curricula and pedagogical frameworks for secure coding and ethical practices. Insider Threat Mitigation: Declarative approaches and behavioral analysis for detecting and preventing attacks. Malware Mitigation: Techniques leveraging uncertainty principles and defensive programming. Election Security: Analyzing vulnerabilities and designing secure voting systems. Bishop has collaborated with institutions like the Department of Homeland Security (DHS) and National Security Agency (NSA) on critical infrastructure protection. His publications span conferences like IEEE Security & Privacy, HICSS, and NSPW, emphasizing real-world applications of cybersecurity principles.

Antonio Dello Iaconoمشاهده پروفایل

دانشیار

• Sports Science
• Strength and Conditioning
• Exercise Physiology
• +۵ مورد دیگر

Antonio Dello Iacono is an Associate Professor (Reader) in Strength and Conditioning at the University of the West of Scotland's Division of Sport, Exercise, and Health within the School of Health and Life Sciences. With 20 years of combined experience in elite sport practice, teaching, and research, his work focuses on elite performance conditioning, training load monitoring, and technology integration in sports. He leads the Sports Performance Interest Group, coordinating industry-collaborative applied research projects. His research aims to develop personalized exercise prescription models to enhance individualized training outcomes, reduce overtraining risks, and improve health outcomes. Education & Positions Scientific Associate at University of Split (since 2017) Research Focus His primary research goals involve transitioning from rigid exercise protocols to personalized approaches tailored to individual abilities and stressors. Key areas include autoregulation methods in resistance training and interdisciplinary research integration. He contributes to UN Sustainable Development Goals related to health and well-being. Collaborations & Activities Peer reviewer for Frontiers in Physiology (2022) Invited speaker at ECSS conferences (2018–2021) Media engagements include discussions on mental training's physical benefits and collaborative partnerships Lab/Teams Leads the Sports Performance Interest Group, fostering applied research with industry partners.

• Human Aspects of Cyber Security
• Cyber Awareness and Hygiene
• Serious Games (Cyber Defence Exercises)
• +۵ مورد دیگر

Dr. Kaie Maennel is a Lecturer at the School of Computer and Mathematical Sciences, part of the Faculty of Sciences, Engineering and Technology at the University of Adelaide. Her research focuses on Human Aspects of Cyber Security, including Cyber Awareness and Hygiene, Serious Games (Cyber Defence Exercises), and Learning Analytics in Cyber Training. She also investigates Usable Security, Information Security Culture, and Cybersecurity Risk Management. With over 20 years of corporate experience in Audit and Assurance at Deloitte, she holds professional certifications: ACCA, CIA, and Estonian CPA. Her research interests emphasize bridging cybersecurity education with practical applications, leveraging experiential learning and advanced analytics. She actively participates in high-profile cybersecurity initiatives like the NATO CCDCOE’s Locked Shields workshop, contributing to exercise design and assessment frameworks. Dr. Maennel is eligible to supervise Masters and PhD students as a Co-Supervisor, focusing on cybersecurity education, exercise methodologies, and human-centric security strategies. She prioritizes interdisciplinary approaches and real-world impact through collaborations with industry and academic partners. Her work spans cyber defense exercise ontology development, cultural adaptation of cybersecurity programs, and leveraging behavioral genetics insights. Recent trends in her publications highlight the integration of AI into cybersecurity training and the critical role of human factors in mitigating cyber risks.

Michał Krzysztofikمشاهده پروفایل

استاد

• Resistance Training
• Eccentric Training
• Post-Activation Performance Enhancement
• +۵ مورد دیگر

Michał Krzysztofik is a Professor at the Academy of Physical Education in Katowice, specializing in sports science and exercise physiology. He holds a Master's degree (2014), PhD in Physical Culture Sciences (2018), and a post-doctoral habilitation in Medical and Health Sciences (2022). His research focuses on resistance training strategies, post-activation performance enhancement (PAPE), eccentric training, and blood flow restriction techniques. He collaborates with national sports associations like the Polish Athletic Association and Handball Association, providing scientific support to elite athletes. Notable awards include the Silesian Science Award (2021) and a Ministry of Education Scholarship (2022). Research interests emphasize optimizing athletic performance through biomechanical and physiological interventions. Key areas include sprint mechanics, muscle-tendon stiffness modulation, and training protocols for combat sports. His work integrates practical applications with elite athletes in volleyball, soccer, and track & field. Over 50 peer-reviewed articles since 2021 explore topics like PAPE repeatability, plyometric-isometric combinations, and sprint performance optimization. Personal athletic achievements include Vice-Champion of Poland in Bodybuilding (2017) and Wielkopolska Champion in Bodybuilding (2017). His studies often employ crossover trials and randomized controlled designs to evaluate acute and chronic adaptations in trained populations.

• Natural Computing
• Financial Modelling
• Operations Research
• +۳ مورد دیگر

Professor Anthony Brabazon is the College Principal and Dean of the UCD College of Business at University College Dublin. He holds a prominent administrative role alongside his academic contributions in natural computing and business analytics. His research focuses on natural computing theory, financial modeling using evolutionary algorithms, and complex adaptive systems in business contexts. Brabazon co-founded the Natural Computing Research and Applications Group (NCRA) at UCD, which explores theoretical and practical applications of bio-inspired algorithms. Education: B Comm and Dip. Prof Accounting – University College Dublin DBA – Kingston University, London DPA and Dip Stat – University College Dublin and Trinity College Dublin MBA – Heriot-Watt University, Edinburgh MS – Stanford University Research Interests: Anthony's work bridges computational intelligence and finance, with contributions to genetic programming, foraging-inspired optimization, and business analytics. His research highlights the application of evolutionary algorithms to real-world problems in finance, operations research, and organizational strategy. Grants and Collaborations: HEA Support for COVID-19 Related Research (2020–2025) Financial Mathematics and Computation Cluster (FMC²) (2009–2016) Teaching: Coordinated MAcc Management Accounting courses at the postgraduate level (2018–2019). Professional Activities: Member of CIMA Ethics Board Editorial board roles in multiple journals Founder of EvoBAFin workshop on computational finance

Daniel Kasperمشاهده پروفایل

پژوهشگر

• Evaluation of Education Systems
• Primary School Research
• Educational Disparities
• +۴ مورد دیگر

Daniel Kasper is a researcher at the University of Hamburg's Faculty of Education, specializing in Educational Science with a focus on International Educational Monitoring and Reporting. He currently serves as the National Project Manager for TIMSS 2027, continuing his leadership role from previous TIMSS cycles (2023, 2019). His work centers on large-scale educational assessments, statistical methodology, and primary education research. Dr. Kasper completed his Habilitation in Educational Science with special consideration of empirical educational research at TU Dortmund (2012-2020), followed by his PhD in Educational Science at the same institution (2010-2012). He earned his Diploma in Educational Science from the University of Münster (2001-2007). His research interests span evaluation of education systems, primary school research, educational disparities, and advanced statistical methods in education. He has developed significant expertise in TIMSS methodology, multilevel modeling, and analysis of large-scale assessment data, with numerous publications addressing methodological challenges in international comparative studies. Analysis of his 15 most recent publications reveals a strong focus on TIMSS methodology and results, particularly regarding mathematics and science competencies in primary education. His work demonstrates expertise in statistical methodology for educational assessment, with several publications developing and refining analytical techniques for large-scale data. A recurring theme is examining educational disparities related to student composition, socioeconomic factors, and gender differences. Dr. Kasper has served as National Project Manager for multiple TIMSS cycles (2019, 2023, 2027) and has been involved in PIRLS studies, demonstrating sustained leadership in major international educational assessments. His work bridges methodological innovation with practical application in educational monitoring. He teaches courses across all academic levels, including 'Introduction to Empirical Research Methods' for Bachelor students, 'Methods of Empirical Educational Research' for Master students, and advanced workshops on longitudinal scaling and the Rasch model for doctoral candidates. His teaching reflects his dual expertise in educational research methodology and statistical analysis.