جست‌وجوی استاد و پژوهشگر

Bernard Asiamah-Asareمشاهده پروفایل

پژوهشگر ارشد

• Epidemiology
• Behavioral Sciences
• Implementation Science
• +۷ مورد دیگر

Dr. Bernard Asiamah-Asare is an Alfred Deakin Post-Doctoral Research Fellow at Deakin University's School of Health and Social Development within the Faculty of Health. His research spans multiple disciplines including public health, epidemiology, and occupational health, with a strong focus on quantitative methodologies to address complex health challenges. His educational background includes: PhD in Public Health from Curtin University, Australia, and the University of Aberdeen, Scotland (2019-2023) Master of Public Health from the University of Ghana, Legon (2014-2015) BSc in Herbal Medicine from Kwame Nkrumah University of Science and Technology, Kumasi, Ghana (2004-2008) Dr. Asiamah-Asare's research interests focus on quantitative approaches to understanding health outcomes across diverse populations. His work spans epidemiology, behavioral sciences, implementation science, digital health interventions, and occupational health with particular emphasis on work productivity loss costs. He employs advanced methodologies including surveys, ecological momentary assessment, and longitudinal modeling to investigate critical health issues such as breastfeeding practices, adolescent sexual and reproductive health, intimate partner violence, cardiovascular diseases, and digital health interventions. His interdisciplinary approach bridges public health with behavioral and social sciences to address real-world health challenges. His recent publication portfolio demonstrates a strong trend toward large-scale epidemiological studies, particularly in obesity and overweight prevalence (including two major 2025 Lancet papers on global, regional, and national trends), alongside specialized research on occupational health in the resources sector. Approximately 78% of his published research involves international collaborations, reflecting his strong global network. His work has practical applications, having informed policies of a company in the mining industry and supported the WA Health Department to monitor the health and well-being of the mining industry during the COVID-19 pandemic. Dr. Asiamah-Asare has been involved in internationally funded projects including those supported by the EU's Horizon 2020 Research and Innovation Programme. His research findings have been presented as part of scientific communications with tangible policy impacts. He has developed strong national and international networks, connections with industry, and collaborations with researchers from top-ranked Universities/Institutions worldwide. His teaching experience includes previous roles as an Assistant Lecturer at the University of Education, Winneba (Ghana), where he taught and supervised students in undergraduate public health courses. He has also worked as a research assistant in cardiovascular diseases at the National Cardiothoracic Centre, Accra (Ghana), providing him with valuable clinical research experience that informs his current work in population health.

• Geomorphology
• Geological Engineering
• Surface Processes
• +۳ مورد دیگر

Scott McCoy is an Associate Professor and holder of the Peter Vardy Endowed Professorship in Engineering Geology at the Mackay School of Earth Sciences and Engineering, University of Nevada, Reno. His research integrates Earth science and engineering to develop predictive models for surface processes like floods, landslides, and debris flows across multiple timescales. Contact: scottmccoy@unr.edu | Office: LME 411 | Mail Stop: 0172 Ph.D., University of Colorado, Boulder (2012) in Geological Sciences B.S. & B.A., University of Washington, Seattle (2005) in Geology & Business Administration McCoy's work addresses fundamental questions about hazardous surface processes: Why do they occur? When? How large? What areas are vulnerable? How do they shape landscapes? How will climate, land use, and tectonic changes affect them? His projects combine: Field mapping and environmental sensor networks Geochemical dating and digital elevation analysis Continuum/fluid/granular mechanics Scientific programming and computational modeling Discrete element simulations and lab experiments Recent publications focus on postfire debris flow prediction, waterfall erosion dynamics, ice-dammed lake outbursts, and steepland morphology. His research bridges immediate hazard mitigation with long-term landscape evolution studies. Peter Vardy Endowed Professorship in Engineering Geology (2017) McCoy's group investigates sediment entrainment mechanics, drainage network evolution, and climate-landform interactions through field measurements, computational models, and controlled experiments. Their work reveals how surface processes transport mass/energy across Earth's surface while addressing practical risks to communities.

• Technology Education
• Engineering Education
• STEM Education
• +۳ مورد دیگر

Joseph Furse serves as an Assistant Professor in the Department of Applied Sciences, Technology and Education (ASTE) within Utah State University's S.J. & Jessie E. Quinney College of Agriculture & Natural Resources. His academic appointment bridges agricultural education with technological pedagogy, focusing on practical implementation of emerging technologies in secondary and post-secondary settings. His research centers on technology and engineering education (TEE) with specialization in robotics integration, drone applications, and electronics curriculum development. Key interests include teacher support systems for technological literacy, student self-efficacy in competitive robotics, and standards-based implementation of engineering education frameworks. His work consistently addresses rural educational contexts and agricultural applications of technology. Publication analysis reveals evolving research trajectories: recent work (2023-2025) emphasizes AI adoption in agricultural education and teacher mentoring systems, while foundational studies (2015-2019) established robotics competition impacts on student outcomes and electronics curriculum transformation. His scholarship demonstrates consistent focus on practical classroom applications and measurable educational outcomes in technology-intensive learning environments.

Frank Aurzadaمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Processes
• Persistence Probabilities
• +۵ مورد دیگر

Prof. Dr. Frank Aurzada is a Professor of Stochastics at the Department of Mathematics, Darmstadt University of Technology (Technische Universität Darmstadt). He serves as Vice Dean and leads the Stochastics Research Group (Arbeitsgruppe Stochastik). His office is located at Schlossgartenstraße 7, 64289 Darmstadt, Germany, in room S2|15 341. Professor Aurzada's research focuses on probability theory and stochastic processes, with particular expertise in persistence probabilities, fractional Brownian motion, Lévy processes, and Brownian motion. His work often examines first passage problems, asymptotic analysis, and path properties of stochastic processes. He has made significant contributions to understanding the behavior of processes under various constraints and conditions, including conditioned Brownian motion and persistence exponents in diverse settings. His recent publications demonstrate a consistent focus on theoretical aspects of stochastic processes with applications spanning from communication networks to interacting particle systems. The research trends show increasing sophistication in handling complex constraints on stochastic processes and developing perturbation methods for analyzing persistence phenomena. Professor Aurzada has organized numerous academic events, including multiple Spring Schools on specialized topics in probability theory dating back to 2014. His most recent and upcoming events include the Spring School on "Extrema of logarithmically correlated random fields and applications" (March 2025) and the Spring School on "Multiplicative chaos and cascades" (February 2024). For teaching, Professor Aurzada offers courses such as "Statistik I für Cognitive Science und Wirtschaftsingenieurwesen" and "Stochastische Prozesse" for the Winter 2025/2026 semester. His research group actively collaborates with institutions worldwide, including universities in Russia, France, and the United States.

Joshua Smithمشاهده پروفایل

استاد

• Gravitational-Wave Physics
• Optics
• Interferometry
• +۳ مورد دیگر

Joshua Smith is a Professor of Physics and Director of the Nicholas and Lee Begovich Center for Gravitational-Wave Physics and Astronomy at California State University Fullerton. As Deputy Director of the Cosmic Explorer next-generation GW detector project, he bridges cutting-edge optics research with large-scale astrophysical discovery. Current roles: Professor of Physics Dan Black Director, Begovich Center Deputy Director, Cosmic Explorer Research focus: Gravitational wave detector optics LIGO interferometry Detector network characterization Dark matter searches via GW data His publications span gravitational wave detection methods, optical coating materials, and astrophysical implications of GW observations. Recent work includes next-generation observatory siting criteria and advanced data analysis techniques for transient GW events. Joshua Smith contributes to open-source detector characterization software and collaborates across the LIGO-Virgo-KAGRA network. He leads efforts to improve detector sensitivity through materials science and interferometry innovations, while exploring multi-messenger astrophysics connections. The Begovich Center under his leadership supports gravitational wave research, education, and public outreach. His team actively participates in Cosmic Explorer R&D initiatives and maintains key detector diagnostics tools used across the global GW community.

• Cell Cycle Dynamics
• Biological Self-Organization
• Mathematical Biology
• +۶ مورد دیگر

Lendert Gelens serves as a Senior Lecturer at KU Leuven's Faculty of Medicine within the Department of Cellular and Molecular Medicine. He leads the Laboratory for Dynamics in Biological Systems and holds significant interdisciplinary roles as a member of iSi Health - KU Leuven Institute for Physics-based Modeling for In Silico Health and Leuven.AI - KU Leuven Institute for Artificial Intelligence. His institutional involvement extends to multiple governance bodies including the OC Biophysics, Biochemistry and Biotechnology, Faculty Council of Medicine, and Departmental Council for Cellular and Molecular Medicine. Dr. Gelens' research centers on mathematical and physical modeling of biological systems with particular emphasis on cell cycle dynamics, wave pattern formation, and temperature effects on developmental processes. His work bridges physics, mathematics, and biology to understand fundamental principles of self-organization in living systems. He investigates how nuclear-cytoplasmic interactions regulate cell cycle timing, how temperature influences embryonic development beyond traditional Arrhenius relationships, and how spatial organization affects biological oscillations. His approach integrates experimental biology with computational modeling, dynamical systems theory, and increasingly machine learning techniques to extract meaningful patterns from complex biological data. Analysis of his recent publications reveals a strong trend toward data-driven approaches in biological modeling. He has pioneered the application of machine learning to identify nullclines in oscillatory systems and extract hidden information from biological time series. His research consistently focuses on frog egg extract systems as model organisms for studying fundamental cell cycle principles, with particular attention to wave phenomena, spatial organization, and temperature scaling effects. The interdisciplinary nature of his work is evident in publications spanning mathematical biology, biophysics, computational neuroscience frameworks like the FitzHugh-Nagumo model, and artificial cell construction. Dr. Gelens actively supervises multiple PhD students including Prokop, Piñeros, and Frolov, and leads substantial research funding through numerous projects running from 2021-2029. His current grants address critical questions in biological self-organization, temperature effects on development, artificial cell construction, and data-driven cell cycle modeling. As head of the Laboratory for Dynamics in Biological Systems, he directs research on how physical principles govern biological organization across scales, from molecular oscillators to cellular and tissue-level patterns. His laboratory serves as a hub for interdisciplinary collaboration between physicists, mathematicians, and biologists working on fundamental questions in systems biology.

Douglas Strandمشاهده پروفایل

دانشیار

• Benign Prostatic Hyperplasia (BPH)
• Lower Urinary Tract Symptoms (LUTS)
• Prostate Cancer
• +۵ مورد دیگر

Douglas Strand, Ph.D., is an Associate Professor of Urology at UT Southwestern Medical Center. He leads a translational research program focused on benign prostatic hyperplasia (BPH), lower urinary tract symptoms (LUTS), and prostate cancer pathogenesis. Ph.D. from Molecular and Cellular Biology at Baylor College of Medicine Postdoctoral training in Urology at Vanderbilt University Joined UT Southwestern faculty in 2014 His work develops human tissue biorepositories using single-cell and spatial transcriptomics to create cellular atlases of the urinary tract. Current projects include: Molecular characterization of BPH cellular pathogenesis Development of mouse models for human urinary tract diseases Investigating epithelial-mesenchymal interactions in prostate cancer progression Dr. Strand contributes to major collaborative initiatives including: GenitoUrinary Development Molecular Atlas Program (GUDMAP) Human Cell Atlas (HCA) Chan Zuckerberg Initiative (CZI) HUman BioMolecular Atlas Program (HUBMAP) His recent publications focus on: 5-alpha reductase inhibitor resistance mechanisms Immune cell interactions in BPH Multi-omic approaches to urinary tract pathology Advancements in hyperspectral imaging technology

• Aircraft Maintenance
• Condition-Based Maintenance
• Prognostics and Health Management
• +۴ مورد دیگر

Dr. W.J.C. Verhagen is a researcher in the Operations & Environment department at Delft University of Technology's Faculty of Aerospace Engineering. His scholarly work focuses on the critical intersection of aircraft maintenance systems, data analytics, and operational optimization. With 88 research outputs spanning articles, conference contributions, and book chapters, he maintains an active research profile in aerospace engineering. His research interests center on condition-based maintenance , prognostic methodologies , and anomaly detection systems for aircraft and spacecraft. Recent work emphasizes the integration of machine learning techniques like CNN-LSTM networks for remaining useful life prediction and the development of generic diagnostic frameworks applicable across aerospace platforms. His fingerprint analysis shows strong expertise in aircraft engineering (73%), maintenance systems (72%), and data-driven models (56%). Analysis of his 15 most recent publications reveals a clear trajectory toward practical implementation of predictive maintenance systems, with increasing focus on real-time decision support and economic viability. The 2023-2024 publications demonstrate growing industry relevance, particularly in aviation maintenance optimization and spacecraft health monitoring. Dr. Verhagen actively contributes to the academic community through editorial roles at IOS Press and Springer. While no specific awards are listed in the profile, his work shows significant scholarly impact with multiple publications accumulating high download counts and reader metrics. His supervision portfolio includes 5 graduate research projects, indicating active mentorship of the next generation of aerospace engineers. The completed ReMAP project demonstrates his capacity to lead multi-institutional research efforts focused on real-time maintenance planning for aircraft systems. Current research appears to be building on this foundation with increasingly sophisticated data-driven approaches to maintenance optimization.

• Programming Languages
• Formal Verification
• Compilers
• +۸ مورد دیگر

Clément Pit-Claudel is an assistant professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences, Department of Computer Science. He leads the SYSTEMF lab which he founded in January 2023. Prior to joining EPFL, he was a PhD candidate at MIT with Adam Chlipala and subsequently worked as a senior applied scientist at Amazon AWS. His academic journey began at École Polytechnique in France, followed by doctoral studies at MIT. Dr. Pit-Claudel's research focuses on programming languages, compilers, and formal verification, with broader interests spanning systems engineering, hardware design languages, security, performance engineering, databases, and type theory. His work centers around three main axes: extensible compilation (teaching compilers domain-specific optimization tricks), hardware design languages and verification, and tooling for proof assistants. He has developed several influential systems including Elk (a linear-time engine for JavaScript regexes), Warblre (a Coq translation of JS regex specification), Fiat (a library for correct-by-construction refinement), Narcissus (for verified binary encoders/decoders), F2F (a program extraction framework), Rupicola (a compiler-construction toolkit), Kôika (a rule-based hardware design language), Cuttlesim (a fast hardware simulator), and Alectryon (a literate programming system for Coq). His publications span top venues including PLDI, POPL, ICFP, ASPLOS, and SLE, with recent work focusing on verified JavaScript regular expressions, foundational integration verification of cryptographic servers, and relational compilation techniques. His research aims to build small, fast, and completely verified components for critical systems through a combination of machine-checked proofs, hardware-software co-design, low-level compiler engineering, and new tools for interactive theorem proving. His notable awards include the Distinguished Artifact award at SLE 2020 for 'Untangling Mechanized Proofs,' the William A. Martin Memorial Thesis Award from MIT in 2016, and the Frederick C. Hennie III Teaching Award from MIT in 2016. He has served on program committees for numerous conferences including PLDI, POPL, ICFP, and SPLASH, and has organized workshops such as the Coq Workshop and Proof Systems. As an educator, he teaches 'Software Construction' (undergraduate level, ~400 students) and 'Interactive Theorem Proving' (graduate level) at EPFL. His teaching philosophy emphasizes hands-on learning, continuous assessment through oral examinations, and designing assignments that lead students to build concrete artifacts they can be proud of. His approach is informed by hundreds of hours of in-class instruction in Europe and the US, resulting in stellar student reviews and multiple teaching awards.

Lichun Liمشاهده پروفایل

دانشیار

• Game Theory
• Control Theory
• Security of Cyber-Human-Physical systems
• +۵ مورد دیگر

Lichun Li is an Associate Professor at the Department of Industrial & Manufacturing Engineering within the FAMU-FSU College of Engineering . Holding a Ph.D. in Electrical Engineering from the University of Notre Dame (2013), Dr. Li's career includes postdoctoral work at the University of Illinois at Urbana-Champaign (UIUC) and Georgia Institute of Technology under Prof. Langbort and Prof. Shamma, respectively. Research Interests: Game Theory : Focused on asymmetric and stochastic games with applications to security and control systems. Control Theory : Investigates event-triggered systems, Bayesian games, and resilient networked systems. Security of Cyber-Human-Physical Systems : Addresses threats from hackers, natural disasters, and adversarial actors through strategic modeling. Smart Manufacturing : Explores AI-driven robotic collaboration to enhance industrial efficiency. Networked Systems : Studies large-scale systems resilience and coordination mechanisms. Recent Publications highlight applications of game theory to cybersecurity, LTE network defense, and efficient control algorithms. Dr. Li's work bridges theoretical advancements with practical solutions for risk mitigation and system optimization. Contact : lichunli@eng.famu.fsu.edu

• Rich Web-based Applications Engineering
• Software Design
• Software Architectures
• +۴ مورد دیگر

Nalaka R. Dissanayake serves as a Senior Lecturer in the School of Computer Science and Engineering at the University of Westminster, where he contributes to the Software Systems Engineering Research Group. With 17 years of academic experience since 2007, he progressed from student instructor to his current senior position while completing his doctoral studies. His foundational education includes a B.Sc. in Information Technology from the Sri Lanka Institute of Information Technology (2007), an M.Phil. from the University of Colombo School of Computing (2017), and a Ph.D. from the University of Westminster (2024). Dr. Dissanayake's research centers on rich web-based applications engineering, where he has established significant contributions through architectural style development and design methodology formalization. His work introduces specialized concepts including RiWAArch Style, BAW-MVC, and delta communication principles that address core challenges in web application state management and communication efficiency. Current research frontiers actively explore prompt engineering techniques for integrating AI/ML capabilities into rich web applications, demonstrating adaptation to emerging technological paradigms while maintaining focus on architectural fundamentals. His publication portfolio reveals a clear research trajectory evolving from AJAX application foundations (2013-2014) through architectural pattern specification (2017-2020) toward comprehensive design methodology development (2023-2024). This progression demonstrates increasing theoretical sophistication while maintaining practical implementation relevance, with consistent output across journals like the Journal of Web Engineering and major conferences including FTC and ICTer. As an active academic contributor, Dr. Dissanayake serves as a reviewer for the Journal of Web Engineering and various conferences. His research group membership provides access to collaborative opportunities within the university's software engineering ecosystem, while his extensive teaching experience across multiple institutions offers valuable mentorship perspective for graduate students.

• Autoimmunity
• Type 1 Diabetes
• Immunology
• +۶ مورد دیگر

Kevan Herold, MD is the C.N.H. Long Professor of Immunobiology and of Medicine (Endocrinology) at Yale School of Medicine. He holds fully joint appointments in both the Department of Endocrinology and the Department of Immunobiology, and maintains affiliations with numerous Yale research centers including the Yale Cancer Center, Diabetes Center, Diabetes Research Center, Human and Translational Immunology Program, Yale Center for Systems and Engineering Immunology (CSEI), and the Yale Stem Cell Center. As chair of NIDDK TrialNet, he leads an international network dedicated to Type 1 diabetes prevention research. Dr. Herold's research program centers on the immunological mechanisms of autoimmune diseases, with a primary focus on Type 1 diabetes. His work spans from basic laboratory investigations of beta cell-immune system interactions to clinical trials of novel immunotherapies. The lab has made significant contributions to understanding how beta cells respond to immune attack and inflammation, challenging the notion that they are merely passive victims in autoimmune diabetes. Recent work has expanded to studying autoimmune diabetes development in patients receiving cancer immunotherapies and immune responses to viral infections including SARS-CoV-2. His most notable achievement is serving as principal investigator for the clinical trial demonstrating teplizumab's effectiveness in delaying the onset of clinical Type 1 diabetes by approximately two years, leading to its FDA approval. Current research includes investigating how latent viral infections like EBV may enhance the efficacy of diabetes therapies, exploring mechanisms of checkpoint inhibitor-induced diabetes, and developing novel approaches to preserve beta cell function. His publication record shows consistent high-impact research, with multiple 2025 publications in journals including Nature Communications, Journal for ImmunoTherapy of Cancer, and Diabetes. Principal Investigator for the landmark teplizumab clinical trial that delayed Type 1 diabetes onset Chair of NIDDK TrialNet, an international Type 1 diabetes research network Multiple high-impact publications on autoimmune diabetes mechanisms Research on checkpoint inhibitor-induced diabetes mechanisms Investigations into beta cell responses to immune attack Dr. Herold actively mentors students and researchers through Yale's Combined Program in the Biological and Biomedical Sciences and the Human and Translational Immunology Program. His lab maintains active collaborations with researchers across Yale and internationally, particularly in the fields of immunology, diabetes, and cancer immunotherapy. The Herold Lab continues to push boundaries in understanding and treating autoimmune diabetes, with ongoing clinical trials and innovative basic research exploring novel therapeutic approaches.

• Control Theory
• Estimation and filtering theory
• Complex dynamical distributed networks
• +۳ مورد دیگر

Daniel W. C. HO is a Chair Professor of Applied Mathematics and Associate Dean (Undergraduate Education) at the College of Science, City University of Hong Kong. He has been with City University of Hong Kong since 1989, having previously served as a Research Fellow at the University of Strathclyde, Glasgow, UK from 1985 to 1988. Prof. Ho received first class honours in BSc, MSc, and PhD degrees in mathematics from the University of Salford, Greater Manchester, UK in 1980, 1982, and 1986, respectively. His academic journey began with foundational work in control theory and has evolved into a distinguished career spanning over three decades. Prof. Ho's research interests span multiple domains in control theory and systems engineering. His primary focus areas include Control Theory , Estimation and filtering theory , Complex dynamical distributed networks , Multi-agent networks , Nonlinear singular systems , and Stochastic systems . His work bridges theoretical advances with practical applications, particularly in networked control systems, cybersecurity for cyber-physical systems, and distributed optimization. Prof. Ho has made significant contributions to the understanding of synchronization phenomena in complex networks, resilient control under cyber attacks, and quantized control systems with communication constraints. His research has evolved from classical control theory to address contemporary challenges in networked and distributed systems, reflecting the changing landscape of control engineering. Prof. Ho's publication record shows a strong emphasis on secure control systems under cyber attacks, distributed optimization with communication constraints, event-triggered control schemes, quantized control systems, and synchronization of complex networks. His work demonstrates a consistent progression from theoretical foundations to addressing practical implementation challenges in cyber-physical systems, with increasing focus on security aspects in recent years. Prof. Ho has received numerous prestigious awards and honors throughout his career. He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2017 and elevated to IEEE Life Fellow status in 2024. He was awarded the Chang Jiang Chair Professorship by the Ministry of Education, China in 2012. Prof. Ho has been recognized as a Highly Cited Researcher for eleven consecutive years from 2014 to 2024, and is among the Top 2% of most highly cited scientists globally from 2020 to 2024. He received the Best Paper Award from The 8th Asian Control Conference in 2011 and the Teaching Excellence Award from City University of Hong Kong in 2020 for his innovative teaching approaches. Prof. Ho has held significant editorial responsibilities, serving as Subject Editor of the Journal of Franklin Institute, Co-Editor in Chief of Franklin Open, Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, Asian Journal of Control, and Action Editor of Neural Networks. He has also served on the editorial boards of several other prestigious journals, contributing to the advancement of his field through scholarly communication. His leadership extends beyond research and teaching as Associate Dean (Undergraduate Education) of the College of Science at City University of Hong Kong, where he plays a key role in shaping the educational experience for science students.

Rajagopalمشاهده پروفایل

استاد

• Marketing Strategy
• Consumer Behavior
• Service Marketing
• +۴ مورد دیگر

Dr. Rajagopal serves as Professor in the Department of Marketing and Business Intelligence at EGADE Business School, Tecnologico de Monterrey, while concurrently holding a professorship at Boston University's Metropolitan College. His distinguished career spans decades across Mexican, American, and Indian academic institutions with significant contributions to marketing theory and practice. His educational foundation includes: Doctorate in Marketing from Ravishankar University, India Master of Arts in Economics from Ravishankar University, India Dr. Rajagopal's research centers on Marketing Strategy , Consumer Behavior , and Technology Innovation , with specialized expertise in service marketing, global business dynamics, and brand management. His work uniquely bridges theoretical rigor with practical applications in emerging markets, particularly examining how digital transformation reshapes consumer engagement and competitive positioning. Recent publications demonstrate sophisticated integration of business analytics with traditional marketing frameworks. His 15 most recent publications (2006-2019) reveal a clear trajectory toward data-driven marketing strategies, with increasing focus on digital ecosystems, cross-cultural consumer behavior, and innovation management. These works span diverse subfields including startup ecosystems, social media influence, spatial trade patterns, and sustainable growth models, reflecting his comprehensive approach to contemporary marketing challenges. Key recognitions include: National Researcher Level 3 by CONACYT (Mexico's highest research distinction, 2013-2022) Premio Pravasi Bharatiya Samman 2023 (India's highest honor for overseas citizens) UK-Mexico Visiting Chair for collaborative research with University of Sheffield Fellowship in the Royal Society of Arts (Life Fellow since 2016) Multiple teaching excellence awards including Innovative Teaching Award 2011 As an active advisor and researcher, Dr. Rajagopal has guided numerous graduate students while securing significant research funding through his National Researcher status and international collaborations. His editorial roles across eight academic journals and membership in fifteen professional associations demonstrate extensive scholarly engagement. Current research initiatives focus on digital marketing analytics and global-local business convergence, supported by ongoing partnerships with institutions across three continents. He maintains active participation in research groups including the Organizational Strategy and Industry Transformation group at Tecnologico de Monterrey, while contributing to global academic networks such as the Academy of Marketing Science and Association of Consumer Research.

• Real-Time Scheduling
• Model-Based Systems Engineering
• Unmanned Aerial Vehicles
• +۳ مورد دیگر

Emmanuel Grolleau is a Full Professor at ISAE-ENSMA (Institut Supérieur de l'Aéronautique et de l'Espace - École Nationale Supérieure de Mécanique et d'Aérotechique) specializing in real-time systems. He is affiliated with the LIAS laboratory (Laboratoire d'Ingénierie des Applications de la Sensorique) where he leads the Real Time Team. His work bridges theoretical scheduling principles with practical embedded system implementations across multiple domains. Professor Grolleau's primary research interests include: Real-Time Scheduling: uniprocessor, multiprocessor, and distributed scheduling with practical considerations like transactions and precedence constraints Model-Based Systems Engineering (MBSE): developing bridges between UML-MARTE and AADL to real-time scheduling tools Unmanned Aerial Vehicles (UAVs): autopilot architecture design and optimization Energy Systems: co-heading the LabCom ANR Laboratoire d'Insertion des Énergies Nouvelles et d'Optimisation des Réseaux (LIENOR) His publication record demonstrates a clear progression from fundamental scheduling theory to applied work spanning avionics, drone technology, and power systems. Recent work shows strong focus on UAV autopilot architectures, model-based frameworks for real-time systems, and energy management in power distribution networks. Professor Grolleau serves on multiple prestigious program committees including Real-Time Networks & Systems (RTNS) since 2012, ACM/SIGAPP Symposium On Applied Computing (SAC) since 2015, DETECT since 2018, and DroneSE in 2023. He has led significant research projects such as PIA CORAC Panda and FUI WARUNA, which developed the Time4Sys pivot meta-model to connect theoretical scheduling with practical implementation. His collaborative work extends across multiple institutions and industries, with publications spanning real-time scheduling theory, UAV systems, energy management, and avionic architectures. The consistent thread through his work is the practical application of real-time scheduling principles to solve complex engineering problems in safety-critical systems.