جست‌وجوی استاد و پژوهشگر

• Accounting
• Auditing
• Banking
• +۴ مورد دیگر

Professor Li Zhen is an academic at the National University of Singapore (NUS) , affiliated with the NUS Business School in the Accounting department. With a Provost's Chair appointment, their research spans Accounting, Taxation, Public Finance, and Policy , often intersecting with Construction Engineering and Public Health applications. Research interests include Modular and prefabricated construction subsidy policies Corporate tax compliance and international tax rulings Pandemic mortality estimation via digital footprints Behavioral economics in investor dynamics Government disclosure mechanisms Urban logistics optimization The 15 most recent publications highlight methodological innovations in optimization algorithms (particle swarm techniques), policy analysis (tax incidence, carbon taxation), and social science (individualism in pandemic response). Key themes: Government-contractor collaboration frameworks Minority leadership behavior under political shifts Reciprocity in tax compliance Digital epidemiology for mortality tracking Robust scheduling in intelligent transportation Teaching activities include advanced courses such as Financial Statement Analysis , Accounting Research Seminars , and Financial Management , reflecting expertise in both theoretical and applied finance/accounting. Education background includes a Doctor of Business Administration from the University of Arizona (2003) and a Master of Accounting from Illinois State University (1998).

Radu Balanمشاهده پروفایل

استاد

• Applied Mathematics
• Harmonic Analysis
• Signal Processing
• +۶ مورد دیگر

Radu Balan is a Professor of Applied Mathematics in the Department of Mathematics at the University of Maryland, College Park. He is affiliated with the Center for Scientific Computation and Mathematical Modeling (CSCAMM) and the Norbert Wiener Center for Harmonic Analysis and Applications. His research bridges harmonic analysis, signal processing, and machine learning, with a strong focus on phase retrieval, frame theory, and deep neural network analysis. He earned his Ph.D. in Applied Mathematics from Princeton University in 1998, advised by Ingrid Daubechies, and holds B.Sc. degrees in Physics and B.E. in Electrical Engineering from Romanian institutions. His academic journey includes a postdoctoral stint at IMA and IBM, followed by research roles at Siemens before joining the University of Maryland faculty in 2006 as an Associate Professor, rising to full Professor in 2011. His research interests include harmonic analysis, statistical signal processing, machine learning, phase retrieval, and mathematical modeling. He has made significant contributions to the theory of frames, phaseless reconstruction, and the stability of deep neural networks. His recent work explores permutation-invariant representations, Lipschitz bounds in CNNs, and graph deep learning. His recent publications (2020–2024) reveal a strong trend toward theoretical machine learning and its mathematical foundations, particularly in the stability and invertibility of neural networks and representations. He frequently publishes in top-tier journals such as IEEE Transactions, SIAM Journal, and Foundations of Computational Mathematics, often on arXiv, indicating an active and current research program in mathematical signal processing and deep learning theory. Radu Balan has authored or co-authored over 60 peer-reviewed papers, edited five volumes of Excursions in Harmonic Analysis , and holds 25 U.S. and international patents in signal processing and source separation. His work has been supported by the National Science Foundation (NSF), Army Research Office (ARO), Simons Foundation, Siemens, and Verisk. He has advised numerous students and collaborators, with research projects spanning statistical signal processing, blind source separation, and deep learning. His lab and research group are associated with CSCAMM and the Norbert Wiener Center, fostering interdisciplinary collaboration in mathematical modeling and computation.

• Ecology
• Global Change Ecology
• Biogeography
• +۶ مورد دیگر

Dr. Frederik Saltre is a Senior Lecturer in Ecology and Biogeography at the University of Technology Sydney and a Research Scientist at the Australian Museum . He leads the Biogeography, Ecology & Modelling (BEAM) Lab and serves as Chief Investigator in the ARC Centre of Excellence for Indigenous and Environmental Histories and Futures. His career spans institutions including Flinders University (2017–2024), University of Adelaide (2013–2017), and Oregon State University (2011–2013). Education: PhD in Biology Geosciences Agro-resources and Environment, University Montpellier 2 (2010) MSc in Biology Geosciences Agro-resources and Environment, University Montpellier 2 (2006) BSc in Biology of Organisms, University Montpellier 2 (2004) Research Interests: Dr. Saltre specializes in global change ecology , paleoecological modeling , and species distribution dynamics . His work integrates stochastic demographic models , biomechanical constraints , and machine learning to study species responses to climate change, extinction mechanisms, and human-environment interactions. Key methodologies include process-explicit models , trophic network analysis , and radiocarbon calibration techniques . Publications & Tools: With over 50 peer-reviewed articles, his research spans megafauna extinction cascades , monsoon dynamics , and environmental watering strategies . He co-developed the R package Rextinct for extinction time estimation and CRIWM algorithm for radiocarbon chronologies. Scientific Awards: Visiting Scholarship, University of Colorado Boulder (2019) Environment Institute Grant, University of Adelaide (2014) Biogeography Society Travel Grant (2013) Assistant Professor Fellowship, France (2010) Supervision: Current: 8 PhD/Honours students Past: 2 MSc/Honours students Leadership: Coordinator, Global Ecology Laboratory Member, Weisbecker Lab Grant Reviewer: NSF, ERC, SNF, BES

Kay Römerمشاهده پروفایل

استاد

• Wireless Sensor Networks
• Internet of Things
• Cyber-Physical Systems
• +۷ مورد دیگر

Kay Römer is Professor and Director of the Institute for Technical Informatics at Graz University of Technology, Austria. He previously held a professorship at the University of Lübeck, Germany, and was a senior researcher at ETH Zurich, where he obtained his doctorate in computer science in 2005. His research focuses on networked embedded systems, particularly in the domains of Wireless Sensor Networks, Internet of Things (IoT), and Cyber-Physical Systems. Key areas include wireless networking, operating systems, programming models, dependability, and deployment methodologies for large-scale embedded networks. The most recent publications reflect a consistent trend in dependable and scalable IoT systems, with emphasis on wireless protocols, fault tolerance, real-time operation, and system robustness. His work bridges theoretical innovation with practical deployment, often involving cross-layer design and energy efficiency. Associate Editor, IEEE Transactions on Mobile Computing Associate Editor, IEEE Transactions on Computers Program Co-Chair, ACM SenSys 2011 Program Co-Chair, ACM/IEEE IPSN 2013 Coordinator, EU FP7 FIRE Project RELYonIT Coordinator, TU Graz Excellence Project "Dependable Internet of Things" Kay Römer has advised multiple research teams and coordinated major international projects funded by the Swiss National Science Foundation, European Commission, German Science Foundation, German Federal Ministry of Education and Research, and the Austrian Federal Ministry of Science, Research, and Economy. He has delivered invited keynote talks and co-directed five international summer schools, demonstrating strong leadership in research dissemination and mentoring. He leads research activities within the Institute for Technical Informatics at TU Graz, focusing on dependable and secure IoT systems, with active collaborations across Europe and industry partners.

Tingjian Geمشاهده پروفایل

استاد

• Data Management
• Uncertain Data
• Scientific Data
• +۶ مورد دیگر

Tingjian Ge is a Professor at the Miner School of Computer & Information Sciences , part of the Kennedy College of Sciences at the University of Massachusetts Lowell. He serves as the Graduate Coordinator for MS Programs and specializes in data management systems, focusing on probabilistic and uncertain data, scientific data, and data security and privacy. Education : B.E. (Tsinghua University), M.S. (University of California, Davis), Ph.D. (Brown University) His research spans data management, with emphasis on uncertain data processing, graph stream analysis, and blockchain applications. Recent work includes methods for real-time predictive event monitoring, fairness-aware analytics in dynamic networks, and security enhancements for blockchain systems. Key publication trends highlight contributions to resource optimization in graph streams, recommender systems, and cybersecurity. His expertise intersects database theory, privacy-preserving techniques, and networked data analysis.

Igor Paprotnyمشاهده پروفایل

دانشیار

• MEMS/NEMS
• Robotics
• Sensor Technology
• +۵ مورد دیگر

Igor Paprotny is an Associate Professor at the Department of Electrical and Computer Engineering, University of Illinois at Chicago. As Faculty Research Director of the Nanotechnology Core Facility, he leads research in MEMS/NEMS, microscale robotics, and environmental sensing. PhD in Engineering Sciences (MEMS) from Dartmouth College, 2008 His research focuses on applying micro/nano-systems to airborne pathogen detection, microscale flight dynamics, photonic sensing, and physical computing paradigms. He has pioneered MEMS-based sensors for methane leak detection, coal mine safety, and real-time particulate monitoring. Recent publications highlight advancements in air-microfluidic circuits , carbon nanotube functionalization , and microscale robotics , reflecting interdisciplinary work at the intersection of Environmental Engineering , Biomedical Monitoring , and Wearable Sensor Technology . He directs the Micromechatronic Systems Laboratory (MSL) and the Air Microfluidic and Bio-surveillance Group (AMFBG) , with over 15 years of experience in MEMS design, energy harvesting, and distributed sensor networks.

Nezih Altayمشاهده پروفایل

استاد

• Humanitarian Supply Chains
• Disruption Management
• After-Sale Service Operations
• +۴ مورد دیگر

Nezih Altay serves as Professor and Director of the MS in Supply Chain Management Program within the Department of Management & Entrepreneurship at DePaul University's Driehaus College of Business. He maintains international research affiliations as a Resilience Research Fellow at Delft University of Technology and research partner at Kühne Logistics University's Research Institute on Leadership and Operations in Humanitarian Aid, while continuing his relationship with Hanken School of Economics as a HumLog Institute Research Affiliate. His academic credentials include: PhD in Operations Management, Texas A&M University (2001) MBA, University of Texas Pan American (1996) BS in Chemical Engineering, Bogazici University, Turkey (1993) Altay's research centers on humanitarian supply chains, disruption management, and after-sale service operations, addressing critical challenges in disaster response systems and vulnerable population support. His work bridges theoretical operations management with practical humanitarian applications, emphasizing resilience building and ethical considerations in crisis contexts through frameworks like coping strategies and ambidextrous organization design. Recent publications (2022-2025) show intensified focus on pandemic resilience, migrant flow logistics, and generative AI applications for social good, while maintaining core themes in disruption management and humanitarian innovation. His research increasingly integrates advanced analytics with field-based evidence from crises in Turkey, Greece, Kenya, and Ethiopia. Major recognitions include: Academic/Research Accomplishment Award from American Logistics Aid Network (ALAN) (2019) Fulbright-Hanken Chair in Business and Economics (2021) Altay has directed DePaul's MS in Supply Chain Management program while teaching executives, MBA, and undergraduate students since 1999. His Fulbright Grant enabled significant collaboration with HumLog Institute, and editorial leadership includes co-editor-in-chief of the Journal of Humanitarian Logistics & Supply Chain Management and senior editor of Production and Operations Management. International research partnerships drive his work through Delft University's resilience initiatives, Kühne Logistics University's leadership institute, and Hanken's HumLog Institute, creating a global network for humanitarian operations research with field studies across multiple continents.

Prashanth Asuriمشاهده پروفایل

استاد

• Biomaterials Engineering
• Nanotechnology
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Prashanth Asuri is a Professor in the Department of Bioengineering at Santa Clara University's School of Engineering, where he has been teaching and researching since Fall 2011. His work focuses on developing biomaterial-based in vitro platforms to understand complex in vivo phenomena, combining biomaterials engineering, nanotechnology, and biology. Ph.D. in Chemical and Biological Engineering, Rensselaer Polytechnic Institute M.B.A. in Leading Innovative Organizations, Santa Clara University Research interests include hydrogel-based toxicity assessment, macromolecular crowding effects, and mechanical property optimization of nanocomposites. He has published over 50 scholarly works and teaches courses ranging from biomaterials science to healthcare marketing. Awards: Brutocao Family Foundation Award for Curriculum Innovation (2022) President’s Special Recognition Award (2019) School of Engineering Teaching Excellence Award (2018) School of Engineering Researcher of the Year (2016) As Director of the School of Engineering's Healthcare Innovation and Design Program, he bridges academic research with industry applications. His publications reveal sustained contributions to biomaterials engineering, nanoparticle toxicity, and mechanobiology.

Tooran Emamiمشاهده پروفایل

استاد

• Control Systems
• PID Controller Design
• Robust Control
• +۳ مورد دیگر

Tooran Emami is a tenured full professor of Electrical Engineering in the Department of Electrical Engineering and Computing at the U.S. Coast Guard Academy (USCGA). She joined USCGA as a Tenure Track Assistant Professor in July 2011, advanced to Tenured Associate Professor in August 2017, and currently serves as a Tenured Professor since August 2023. Prior to USCGA, she was an adjunct faculty member at Wichita State University for three semesters. Ph.D., Electrical Engineering, Wichita State University M.S., Electrical Engineering, Wichita State University Dr. Emami's research focuses on control systems, with expertise in Proportional-Integral-Derivative (PID) controller design, robust control, time-delay systems, compensator design, analog and digital filter design, and hybrid fuel cell power plant design. Her work bridges theoretical control engineering with practical applications in energy systems, particularly fuel cells and renewable energy integration. She has made significant contributions to engineering pedagogy, developing innovative teaching methods for hybrid and virtual learning environments. Analysis of Dr. Emami's recent publications reveals a strong focus on PID controller design methodologies, particularly for systems with time delays. Her work increasingly integrates renewable energy systems, with numerous publications on hybrid fuel cell, solar, and battery systems. She maintains a dual focus on theoretical control systems and practical engineering education, with several publications addressing project-based learning approaches in electrical engineering education. Center for Advanced Study Summer Fellowship Award (2012) Spirit of The Bear Award (2016) Outstanding Doctoral Dissertation Award at Wichita State University Student Paper Award from Engineering Physics and Physics Division (2022) Multiple Best Paper and Student Paper Awards at ASEE conferences Dr. Emami serves as Lead Advisor for Electrical Engineering and Cyber Systems Majors and Advisor for Electrical Engineering Senior Capstone Projects. She has held numerous leadership positions including Interim Program Chair of Electrical Engineering, ASEE Electrical and Computer Engineering Division Program Chair, and Faculty Senate Vice President. Her service extends to conference organization, where she has served as Session Chair, Program Committee member, and Scientific Committee member at national and international conferences. She previously served as Ph.D. Student Dissertation Co-Adviser and Master Student Theses Co-Adviser at Wichita State University. Dr. Emami actively participates in professional organizations as a Senior Member of IEEE and member of IEEE Control System Society and American Society for Engineering Education. Her leadership roles in ASEE include serving as Electrical and Computer Engineering Division Vice Chair, Engineering Physics and Physics Division Program Chair, and Ocean Engineering Division Publication Chair. She has contributed to numerous conference committees and served as an advisor for Lockheed Martin Ethics in Engineering Case Competitions.

Veselin Rakocevicمشاهده پروفایل

مدرس ارشد

• Multihop Wireless Networks
• Vehicular Networks
• Ad-hoc Networking
• +۵ مورد دیگر

Dr. Veselin Rakocevic is a Senior Lecturer in Electronic Engineering at City, University of London (post-merger with St George's). He holds a PhD in Telecommunications from Queen Mary, University of London (2002) and a Dipl-Ing in Electrical & Electronic Engineering from the University of Belgrade (1998). At City, he has served as Head of Department (2015-2018) and Associate Dean for Portfolio Development (since 2023). PhD: Telecommunications, Queen Mary, University of London (2002) Dipl-Ing: Electrical & Electronic Engineering, University of Belgrade (1998) His research focuses on multihop wireless networks , including optimal scheduling , dynamic clustering , cooperation mechanisms , and network self-organisation . Applications span vehicular networks , heterogeneous cellular networks , and energy network optimisation . Over 15 years, his publications demonstrate expertise in 5G/LTE-A protocols , VANET security , and transport-layer multipath tunneling . Recent article trends highlight 5G congestion control , machine learning for traffic identification , and game theory applications in rural wireless networks . He has supervised 12 PhD students with topics covering network optimization , QoS management , and mobile security . Major projects include REACH (EU-India rural broadband) and Wireless Networks for Moving Objects (EU COST Action).

Ignacio Rodriguez Larradمشاهده پروفایل

پژوهشگر

• Path Loss Engineering
• Wireless Communication Engineering
• Internet of Things Engineering
• +۳ مورد دیگر

Ignacio Rodriguez Larrad is a researcher at Aalborg University , affiliated with the Department of Electronic Systems under the Technical Faculty of IT and Design . His work focuses on wireless communication engineering, industrial IoT, and path loss modeling. He is currently involved in the 5G-enabled autonomous mobile robotic systems project. Current affiliations: Aalborg University, Spanish Researchers in Denmark (Vice-chairman) Research interests include 5G wireless networks, industrial IoT deployment, real-time locating systems, and antenna engineering. His work addresses practical challenges in factory environments and rural connectivity solutions. Recent publications highlight applications in corrosion mapping, robotic control, and network integration. Key trends involve deep learning for industrial automation, UWB technology, and multi-connectivity frameworks. Scientific Awards : 5G-prisen (2019) - Recognizing 5G research contributions Neal Shepherd Memorial Best Propagation Paper Award (2017) - Radio propagation studies Ignacio has co-supervised PhD research and participated in industry-focused projects. His activities include media engagement and presentations on industrial wireless systems at conferences.

• Biomedical Engineering
• Respiratory Physiology
• Critical Care Medicine
• +۵ مورد دیگر

Andrew Farmery is a Professor of Anaesthetics at the University of Oxford , where he serves as Head of the Nuffield Division of Anaesthetics . He is also a Fellow & Tutor in Medicine at Wadham College , Oxford, overseeing undergraduate medical education. Research Interests : His work bridges biomedical engineering and respiratory physiology , focusing on developing intravascular sensors and analytical techniques to monitor respiratory and cardiovascular dysfunction in critically ill patients. Key projects include the Inspired Sinewave Technique (IST) , which quantifies lung heterogeneity , cardiac output , and ‘baby lung’ volume in ARDS and COPD models. He emphasizes translating these innovations into medical devices for improved patient care, supported by grants from the Wellcome Trust , EPSRC , and NIHR . Publications : His recent articles highlight the IST as a non-invasive tool for assessing lung injury , ventilation heterogeneity , and hemodynamic changes in animal models . Studies span ARDS , COPD , and PPE sustainability , reflecting interdisciplinary applications. Methodological works include computational simulations and CT validation for physiological modeling. Labs & Teams : He leads the Respiratory Physiology and Biomedical Engineering Group and is affiliated with the Ventilator Weaning and Extubation in Neurocritical Care Network , integrating clinical and engineering expertise.

• Neuroimaging
• Magnetic Resonance Imaging
• Cerebral Blood Flow
• +۴ مورد دیگر

Thomas Okell is an Associate Professor and Sir Henry Dale Fellow at the University of Oxford, serving as Head of Neurovascular Imaging and Director of the OxCIN MRI Graduate Programme. His research focuses on developing non-invasive MRI methods to visualize cerebral blood flow and tissue perfusion, with emphasis on vessel-selective arterial spin labeling techniques for clinical applications in stroke and vascular diseases. His primary research interests include Neuroimaging, Magnetic Resonance Imaging, Cerebral Blood Flow quantification, Perfusion Imaging, Vascular Imaging, Arterial Spin Labeling methodology, and Ultra-High Field MRI applications. Current work targets improving sensitivity for white matter perfusion imaging and developing accelerated acquisition techniques using advanced reconstruction methods for clinical translation. Recent publications demonstrate significant advancements in vessel-encoded ASL, ultra-high temporal resolution 4D angiography, and machine learning acceleration techniques. Key trends include integration of angiography/perfusion/structural imaging, optimization for 7T scanners, and applications in population studies like UK Biobank. Awards and honors: Sir Henry Dale Fellowship (Wellcome Trust/Royal Society) Royal Academy of Engineering Research Fellowship He currently supervises DPhil students Minhao Hu Hao Li and Qijia Shen, and collaborates with clinical researchers on patient studies involving stroke, arteriovenous malformations, and vascular cognitive impairment. His current Sir Henry Dale Fellowship supports ultra-high field MRI development for dementia-related applications, building on previous Royal Academy of Engineering funding for clinical translation of perfusion imaging. He leads the Neurovascular Imaging group and Ultra High-Field MRI Physics team within the Oxford Centre for Functional MRI of the Brain (FMRIB), focusing on vessel-selective techniques and quantitative perfusion mapping for neurological disorders.

Derek Groenمشاهده پروفایل

استاد

• Multiscale Modelling
• High-Performance Computing
• Agent-Based Simulation
• +۴ مورد دیگر

Derek Groen serves as Reader in Computer Science at Brunel University within the College of Engineering, Design and Physical Sciences. He holds additional appointments as an Emeritus Fellow of the EPSRC-funded 2020 Science Network, Fellow of the Software Sustainability Institute, and Visiting Lecturer at University College London's Centre for Computational Science. His academic background includes an MSc in Grid Computing from the University of Amsterdam (2006) and a PhD in Computational Astrophysics from the University of Amsterdam and Leiden University (2010). Prior to joining Brunel in September 2015 as a Lecturer, he held postdoctoral positions on EU projects MAPPER and CRESTA focused on distributed multiscale computing and exascale high-performance computing. Groen's research centers on multiscale modeling and high-performance computing with applications spanning forced migration simulation, cerebral bloodflow modeling, and materials science. His work addresses critical challenges in performance optimization, distributed computing frameworks, and verification/validation methodologies for complex computational systems. Recent projects demonstrate strong interdisciplinary connections between computational science, social dynamics, and public health crises. Analysis of his 15 most recent publications reveals a clear trajectory toward increasingly sophisticated migration modeling tools (Flee 3, P-Flee), enhanced verification frameworks (VECMAtk, FabSim3), and pandemic response applications. His work consistently bridges computational rigor with real-world humanitarian challenges, particularly in forced displacement scenarios and public health emergencies. EPSRC eCSE funding for domain decomposition research Fellow of Software Sustainability Institute Co-author of first feature article in Advanced Materials (2014) with BBC/Daily Telegraph coverage Emeritus Fellow of 2020 Science Network Groen has secured significant research funding from EPSRC, European Commission, and United Nations for projects including SEAVEA (2021-2024), ITFLOWS (2020-2023), and STAMINA (2020-2022). His supervision history includes summer projects resulting in peer-reviewed publications, with current PhD opportunities focused on real-time environmental monitoring, migration modeling, and urban planning simulations. He actively leads Science Hackathons to foster interdisciplinary collaboration and maintains strong ties with EU research consortia through projects like ComPat and HIDALGO. His laboratory work centers on the FabSim automation toolkit and VECMAtk verification framework, supporting a research team that develops scalable solutions for global challenges. Current efforts focus on integrating machine learning with agent-based simulations to improve migration forecasting and pandemic response capabilities.

Michelle Joette Whiteمشاهده پروفایل

دانشیار

• Pediatric Health Equity
• Child Obesity
• Public Health Interventions
• +۳ مورد دیگر

Michelle Joette White is an Associate Professor in Pediatrics and Population Health Sciences at Duke University, with a dual appointment in the Division of Hospital Medicine. She serves as Associate Director of the Duke Pediatric Research Scholars Program for Physician-Scientist Development. Her expertise lies in pediatric health equity, child obesity, and community-based interventions. Dr. White holds an MD from Duke University School of Medicine (2010) and an MPH from the University of North Carolina at Chapel Hill (2018). Her research integrates geographic and qualitative methods to explore how environmental factors influence child health behaviors, particularly focusing on disparities in obesity and healthcare access. Notable areas include interfacility transfer outcomes for children with chronic conditions, protective factors against obesity in high-risk neighborhoods, and mobile health interventions to address health inequities. Dr. White leads multiple grants, including the NHLBI-funded 'Stimulating Access to Research in Residency (StARR)' program and Lucile Packard Foundation initiatives addressing acute care utilization for Black children with medical complexity. She also chairs the Academic Pediatric Association Diversity and Inclusion Committee. Her work has been published in journals like Hospital Pediatrics , Academic Pediatrics , and Translational Behavioral Medicine , with a focus on translating research into actionable community programs. She collaborates with the Duke Center for Childhood Obesity Research to advance translational studies.