جست‌وجوی استاد و پژوهشگر

Christian Waughمشاهده پروفایل

استاد

• Emotion Regulation
• Stress and Coping
• Resilience
• +۴ مورد دیگر

Christian Waugh serves as Professor of Psychology at Wake Forest University, based in Greene Hall 445 with contact email waughce@wfu.edu. He directs the Emotion and Motivation Lab (eMolab), as evidenced by his active research website https://emolab.psych.wfu.edu , and teaches courses within the Department of Psychology. His research centers on emotion regulation mechanisms, particularly cognitive reappraisal strategies, stress reactivity, and resilience across the lifespan. Key investigations examine how individuals maintain emotional states during stressors, the neural underpinnings of positive emotion's buffering effects, and age-related differences in recovery from adversity. His work integrates psychological, biological, and social perspectives to understand affective processing dynamics, with significant focus on temporal aspects of emotional experience and coping. Analysis of his 2023-2025 publications reveals dominant themes in reappraisal implementation phases, affective working memory, and pandemic-related stress adaptation. His methodological approach combines fMRI, physiological monitoring, ecological momentary assessment, and computational modeling to explore how positive emotions facilitate stress resilience. Notable patterns include the temporal anchoring of regulatory strategies and the differential impacts of distraction versus avoidance coping. Scientific awards: No awards were documented in the source material. Regarding academic advising and research funding, the source text provides no specific details about graduate students, grants, or sponsored projects. However, his active laboratory and extensive publication record suggest ongoing mentorship and research support activities typical of senior faculty. Waugh leads the Emotion and Motivation Lab (eMolab), which investigates neural and psychological mechanisms of emotion regulation through multiple experimental paradigms. Current research examines stressor reactivity in aging populations, virtual reality mood induction techniques, and computational models of resilience, with strong emphasis on translating findings to real-world coping applications.

Aaron Maxwellمشاهده پروفایل

دانشیار

• Geospatial Science
• Remote Sensing
• Machine Learning
• +۶ مورد دیگر

Aaron Maxwell is an Associate Professor in the Department of Geology and Geography at West Virginia University (WVU). He serves as the principal investigator of West Virginia View, a member of AmericaView, and director of the WV GIS Technical Center. His research focuses on spatial predictive modeling, geohazard mapping, machine/deep learning applications in remote sensing, and thematic map accuracy assessment. He holds degrees from Alderson Broaddus University (B.S. in Biology, Chemistry, Environmental Science) and WVU (M.S. and Ph.D. in Geology), with a GIS Professional (GISP) certification. Education: Bachelor of Science in Biology, Chemistry, and Environmental Science – Alderson Broaddus University Master of Science in Geology – West Virginia University Doctor of Philosophy in Geology – West Virginia University Research Interests: Dr. Maxwell’s work emphasizes computational methods to extract insights from geospatial data. Key areas include: Deep learning for geomorphic feature extraction (e.g., LIDAR-based semantic segmentation) Machine learning applications in forest fuel load estimation and slope failure modeling Best practices for assessing deep learning outputs in remote sensing Synthetic data generation for predictive modeling Community flood resiliency and participatory GIS Publications: His recent work highlights advancements in geospatial deep learning (e.g., the geodl R package), accuracy assessment metrics for imbalanced datasets, and modeling post-mining landscape evolution. Articles often blend theoretical frameworks with applied case studies across environmental and geotechnical domains. Grants & Funding: Supported by NSF (CAREER Award) and AmericaView, his work trains students and develops open-source geospatial tools. Current projects include synthetic forest stand modeling and flood resiliency initiatives. Labs & Teams: Leads WV View, fostering remote sensing education and data sharing. Collaborates on geospatial workforce development and open-source software initiatives (e.g., GIScience courses, ArcGIS Pro labs).

• Thin film technology
• Nanostructured materials
• Nanotechnology
• +۴ مورد دیگر

Dr. Tuquabo Tesfamichael is a Senior Lecturer at the School of Mechanical, Medical and Process Engineering (MMPE), Faculty of Engineering at Queensland University of Technology (QUT). He obtained his Ph.D. from Uppsala University (Sweden) in 2000 followed by a 2-year postdoctoral fellowship at QUT. Dr. Tesfamichael serves as the Subject Area Coordinator for undergraduate Mechanical Engineering (EN01) and Course Coordinator for postgraduate Advanced Materials (EN54). Dr. Tesfamichael's research spans multiple cutting-edge areas in materials science and engineering. His primary interests include thin film technology, nanostructured materials and nanotechnology, metal oxide thin film gas sensors, perovskite solar cells, and nanostuctured metallic glasses thin films for biomedical applications. His work bridges fundamental materials science with practical applications in energy, sensing, and biomedical fields. Analysis of his recent publications reveals a strong focus on thermoelectric materials, metallic glasses for biomedical applications, and advanced sensor technologies. His research consistently explores the intersection of nanotechnology, materials engineering, and practical applications, with significant contributions to flexible electronics, energy harvesting, and biomedical device development. The work demonstrates a progression toward increasingly sophisticated material systems with multifunctional properties. Dr. Tesfamichael has secured over $1.3 million in research grants and awards from prestigious sources including Defense Science Technology, ARC Discovery Grants, and Japanese Society for Promotion of Science Fellowships. His research collaborations span international institutions including Hokkaido University in Japan and Uppsala University in Sweden. Defense Science Technology - DST (2021-22) National and International Research Alliances Program (2010-12) AINSE Research Grants (2003-2013) ARC Discovery Grant (2006-08) Japanese Society for Promotion of Science Fellowships (2007, 2013) With over 70 journal articles, more than 3000 citations, and an h-index of 31, Dr. Tesfamichael has established himself as a significant contributor to materials science. He has supervised 13 PhD students to completion in the last decade and currently mentors 5 additional PhD candidates. His research leadership extends to membership on the Board of Directors for the UNI Doctoral Program in Sciences and active participation in the Centre for Materials Science and Centre for Biomedical Technologies at QUT.

Diane M. Styersمشاهده پروفایل

دانشیار

• Remote Sensing
• Geospatial Analysis
• Climate Adaptation and Resilience
• +۵ مورد دیگر

Diane M. Styers is an Associate Professor in the Department of Geosciences and Natural Resources at Western Carolina University's College of Arts and Sciences. Her work integrates geospatial technologies with community engagement to address global climate resilience challenges through human-centered research approaches. Her educational qualifications include: Postdoctoral Research in Remote Sensing and Geospatial Analysis, University of Washington Ph.D. in Forest Ecology, Auburn University M.A. in Geography, Georgia State University B.S. in Human Development & Family Studies, University of North Carolina at Greensboro Dr. Styers specializes in public participatory GIS (PPGIS) to incorporate local landscape knowledge into climate adaptation strategies. Her technical expertise spans LiDAR data analysis, object-based image analysis (OBIA), MODIS/Landsat time series, multi-sensor integration, forest ecology, and dendroecology. She investigates how social-ecological processes drive landscape changes affecting Earth's resources, with particular focus on community resilience against climate-related risks. Her publication record reveals strong thematic trends in applying geospatial methods to socio-ecological systems, with increasing emphasis on rivercane conservation, forest community dynamics in Appalachia, biodiversity education using NEON data, and vector-borne disease mapping. Recent works demonstrate sophisticated integration of remote sensing with community-based adaptation frameworks. Dr. Styers actively mentors students through co-authored publications and teaches diverse courses including Introduction to Geospatial Analysis, Remote Sensing, GIS applications, and field-based programs like Sustainability in Costa Rica. Her instructional approach emphasizes authentic science engagement using big data resources.

Anja Feldmannمشاهده پروفایل

استاد

• Internet Measurement
• Network Performance Debugging
• Software-Defined Networking
• +۷ مورد دیگر

Anja Feldmann is Director at the Max Planck Institute for Informatics in Saarbrücken and Professor of Internet Network Architectures at Technische Universität Berlin (since 2006). Previously she held a full professorship at Technische Universität München (2002–2006) and conducted research at AT&T Labs Research , Saarland University , and Carnegie Mellon University , where she earned her Ph.D. in 1995. Education Ph.D. in Computer Science, Carnegie Mellon University, 1995 M.Sc. in Computer Science, Carnegie Mellon University, 1991 Diplom in Computer Science, Universität Paderborn, 1990 Research Interests Anja Feldmann’s research centers on measurement-driven understanding of the Internet. She tackles challenges such as software-defined networking , cloud-network interactions , performance debugging , and traffic characterization . A growing focus is the privacy and security of networked systems, evidenced by recent studies on online tracking, DNS security, and disinformation ecosystems. Her group designs scalable measurement platforms that combine passive and active monitoring , programmable data planes , and machine-learning analytics to dissect phenomena ranging from terabit-scale traffic to covert tracking on illegal streaming sites. Recent Publication Themes The 2021-2025 publications reveal a methodological evolution toward large-scale, longitudinal measurement . Topics include: Impact of global events (COVID-19, CrowdStrike outage) on Internet traffic Cross-country tracking ecosystems and privacy leaks DNS root and routing plane stability and security ML-driven real-time monitoring at terabit speeds Disinformation campaigns on encrypted messaging platforms Scientific Awards Gottfried Wilhelm Leibniz Prize (2011) – Germany’s highest research honor Berliner Wissenschaftspreis (2011) Elected Member of the German National Academy of Sciences Leopoldina (2009) Advising & Grants While individual student names are not listed, Prof. Feldmann leads a vibrant team at MPI-INF’s Internet Architecture department. She has supervised numerous doctoral candidates and post-doctoral researchers whose work is reflected in the co-authored papers. Funding sources include the German Research Foundation (DFG) via the Leibniz Prize and EU Horizon projects, although explicit grant numbers are not provided in the source material. Labs & Teams She heads the Internet Architecture department at MPI-INF, located at the Saarland Informatics Campus . The department operates state-of-the-art measurement infrastructure—including programmable switches, honeynets, and global vantage points—to support empirical network science.

Xiaowei Chenمشاهده پروفایل

دانشیار

• Earthquake Rupture
• Induced Seismicity
• Subsurface Structure
• +۳ مورد دیگر

Xiaowei Chen is an Associate Professor in the Department of Geology and Geophysics at Texas A&M University. His research focuses on observational seismology, with an emphasis on earthquake rupture processes, induced seismicity, subsurface structure analysis, and applications of distributed acoustic sensing (DAS). He holds a PhD from the University of California, San Diego (2013), and has held prior academic positions including the Stubbeman-Drace Presidential Professorship at the University of Oklahoma (2020). His work integrates field observations, dense seismic arrays, and advanced computational methods to address critical questions in crustal dynamics and seismic hazard assessment. **Education:** PhD, University of California, San Diego, 2013 MS, University of California, San Diego, 2010 BS, University of Science and Technology of China, 2007 **Research Interests:** Chen investigates how anthropogenic activities influence fault behavior, interactions between seismic and aseismic slip, and factors controlling earthquake rupture characteristics. He studies these phenomena in tectonically active regions (e.g., western US, Japan) and intraplate settings (e.g., Oklahoma), leveraging DAS technology for high-resolution subsurface imaging. Recent projects include forecasting induced seismicity via machine learning and analyzing pore-pressure diffusion mechanisms in Oklahoma. **Awards:** Stubbeman-Drace Presidential Professor, University of Oklahoma (2020) Editor's citation for excellence in refereeing, JGR-Solid Earth (2018) **Advising & Grants:** While no formal advisees are listed, Chen’s collaborative research involves multidisciplinary teams addressing induced seismicity, fault dynamics, and crustal structure. His work is supported by grants from agencies like the USGS and SCEC. **Labs & Teams:** Engages with the Texas A&M Seismology Group and collaborates with institutions like the University of Oklahoma and the University of California system on projects involving seismic array deployments and DAS applications.

• Brain-Computer Interfaces
• Neuroscience
• Human-Computer Interaction
• +۳ مورد دیگر

Matt Russell is a PhD candidate in Computer Science at Tufts University, focusing on Brain-Computer Interfaces (BCI) within the Human-Computer Interaction Lab. His research emphasizes measuring mental workload via fNIRS and EEG, with applications in LLM-based interfaces and BCI design. He has taught Data Structures (C++) twice as a professor and served as a teaching assistant for multiple computer science courses. His work bridges neuroscience and engineering to enhance adaptive interface technologies. Education: PhD Candidate in Computer Science, Tufts University Research Interests: Russell’s multidisciplinary research explores implicit BCI design, mental workload analysis, and neuroergonomics. Key areas include fNIRS/EEG-based state classification, LLM interface integration, and real-time BCI systems for memory enhancement. His studies often involve human subject trials to evaluate cognitive and physiological responses. Publications: His articles span 2011 to 2025, focusing on neuroimaging techniques (fNIRS/EEG), BCI innovation, and HCI applications. Recent work explores AI collaboration impacts and low-cost EEG systems for cognitive task decoding. Teaching & Advising: Russell has instructed Data Structures (C++) and supported courses in graphics, cybersecurity, and concurrency. He actively contributes to pedagogical efforts in computer science education. Labs & Projects: His research is conducted in the Human-Computer Interaction Lab at Tufts, with open-source projects hosted on GitHub.

• Soil Science
• Climate Change Mitigation
• Environmental Protection
• +۵ مورد دیگر

Dr. Sharon O'Rourke is an Assistant Professor and Ad Astra Fellow at the University College Dublin (UCD) School of Biosystems and Food Engineering since 2019. Previously, she held roles at the University of Sydney and UCD's School of Agriculture and Food Science, focusing on soil science and environmental protection. She holds a BAgrSc from UCD and a PhD in Soil Nutrient Management from Queen's University Belfast. Research Interests: Her work centers on sustainable soil management, soil carbon sequestration, and environmental protection. She employs spectral techniques (e.g., mid-infrared, hyperspectral imaging) and modeling to study soil geochemistry, carbon dynamics, and climate change mitigation. Current projects include ClimateCropping (EU-wide soil carbon management), PRISM (in-field soil sensors), and CFunction (carbon-nutrient stoichiometry). Grants & Projects: Key grants include funding from Teagasc, the Department of Agriculture, and the Sustainable Energy Authority of Ireland. Notable projects include proximal soil sensing for carbon monitoring and bio-based product development via pyrolysis. Teaching: She coordinates modules such as 'Carbon & Sustainability,' 'Soil Technology,' and 'Research Skills,' emphasizing agricultural systems and climate-smart practices. Awards: Recognized as an Ad Astra Fellow, highlighting her contributions to innovative soil science research.

Yufang Jinمشاهده پروفایل

دانشیار

• Remote Sensing
• Terrestrial Ecosystems
• Fire Disturbance
• +۷ مورد دیگر

Yufang Jin is an Associate Professor in the Department of Land, Air and Water Resources at the University of California, Davis, with affiliations in the Geography Graduate Group. Her work bridges environmental science and geospatial technologies, focusing on critical Earth system processes. Her research centers on remote sensing of terrestrial ecosystems , with key emphases on fire disturbance , ecohydrology , biogeochemical cycles , and climate change . She applies advanced GIS and modeling techniques to study global environmental change, contributing to the Methods, Models, and GIS Science concentration within the Environmental Sciences area of depth. The available data does not include recent publications, but her research profile suggests a strong focus on satellite-based monitoring, land surface dynamics, and environmental modeling across spatial and temporal scales. Dr. Jin has not had any scientific awards listed in the source material. She advises graduate students through the Geography Graduate Group, though specific advisees are not named. There is no mention of external grants or funding sources in the provided text. Her research activities are likely supported through university and federal environmental science programs. She is associated with research infrastructure at UC Davis, potentially including geospatial labs or environmental monitoring systems, though specific labs or research teams are not detailed in the current bio.

• Aeolian geomorphology
• Wind erosion processes
• Dust emission dynamics
• +۵ مورد دیگر

Jeffrey A. Lee is a Professor in the Department of Geosciences at Texas Tech University, specializing in aeolian geomorphology and environmental processes. With academic appointments since 1988, his work focuses on wind-driven sediment transport and dune dynamics across multiple continents. Education: B.A. in Geography (1979), University of California, Los Angeles M.A. in Geography (1984), University of California, Los Angeles Ph.D. in Geography (1990), Arizona State University Research interests center on aeolian processes, particularly dust emission dynamics and wind erosion patterns. His work examines temporal trends in blowing dust across Texas and the American Southwest, while also investigating long-term shifts in wind climate patterns. Professor Lee teaches foundational physical geography courses including Global Environmental Science and advanced topics in arid land geomorphology. Recent publications demonstrate interdisciplinary focus across aeolian geomorphology, environmental monitoring, and climate science. Key themes include dust source characterization using satellite data, drought legacy effects on erosion, and historical analysis of environmental disasters like the Dust Bowl. Contact: jeff.lee@ttu.edu | 213 Holden Hall, Texas Tech University | (806) 834-8228

• Medical Physics
• Radiation Therapy
• Medical Imaging
• +۷ مورد دیگر

Andrew Fielding is an Associate Professor in the School of Chemistry & Physics at Queensland University of Technology (QUT), Faculty of Science. His research and teaching focus on medical physics, particularly in radiation therapy, medical imaging, and Monte Carlo dosimetry techniques. He is the Course Coordinator for the Graduate Diploma and Master of Applied Science in Medical Physics programs at QUT. He holds a PhD in Physics from the University of Portsmouth and a B.Sc. (Hons) from the University of Surrey. He completed postdoctoral research at the Institute of Cancer Research / Royal Marsden Hospital and the University of Liverpool before joining QUT in 2004. His academic progression includes Lecturer (2004–2008), Senior Lecturer (2008–2022), and Associate Professor (2023–present). His research interests lie in medical imaging, radiation therapy, image-guided radiotherapy, Monte Carlo techniques for dosimetry, and radiation oncology physics. He emphasizes translating research into clinical practice to improve cancer care. His recent publications reflect a strong focus on Monte Carlo simulations, small-field dosimetry, preclinical irradiation, and the integration of AI and simulation in radiotherapy education and treatment verification. His scientific achievements are recognized through professional memberships including Fellow of the Institute of Physics (FInstP), Chartered Physicist (CPhys), and Member of the Australasian College of Physical Scientists and Engineers in Medicine (MACPSEM). Fellow of the Institute of Physics (FInstP) Chartered Physicist (CPhys) Member of the Australasian College of Physical Scientists and Engineers in Medicine (MACPSEM) Andrew Fielding actively supervises PhD and research master’s students in areas such as Monte Carlo dosimetry, tumor motion tracking, and radiotherapy optimization. He has secured competitive research grants, including Australian Competitive Grants for projects on tumor motion monitoring and in-vivo dosimetry verification. His teaching philosophy emphasizes authentic, clinically aligned learning using simulation, virtual reality, and real-world applications. He leads or teaches several core medical physics units, including Radiation Physics, Radiotherapy, Medical Imaging Science, and Research Methodology. He is involved in developing and evaluating innovative tools such as 3D volumetric outlining systems and immersive simulation environments for radiotherapy training. His work bridges physics, clinical application, and education, contributing significantly to the advancement of medical physics both in research and pedagogy.

• Seismotectonics of Plate Boundary Zones
• Marine Geophysics
• Crustal Seismology
• +۳ مورد دیگر

Ingo Grevemeyer is a Scientist at GEOMAR Helmholtz Centre for Marine Research and an apl-Professor at Christian-Albrechts University in Kiel. He specializes in marine geodynamics , focusing on the seismotectonics of plate boundary zones, particularly transform faults, subduction zones, and mid-ocean ridges. His research involves ocean-bottom seismometer (OBS) deployments and geophysical data analysis to study seismicity, source mechanisms, crustal structure, and tectonics. He has participated in 37 marine geophysical cruises, serving as chief scientist 18 times. His research interests span seismotectonics , marine geophysics , crustal seismology , and heat flow surveys of mid-ocean ridges, hotspot provinces, and subduction zones. His recent work, funded by an Advanced Grant of the European Research Council , explores the seismotectonics of transform faults. Over the past decade, Grevemeyer has published extensively on topics such as subduction zone dynamics , transform fault earthquakes , mantle serpentinization , and crustal accretion . His peer-reviewed output includes 154 publications, with 37 as first author, reflecting a strong h-index of 41 (Web of Science) and 49 (Google Scholar). Scientific Awards: Advanced Grant of the European Research Council

Alexandra Fedorovaمشاهده پروفایل

استاد

• Systems Software
• Memory and Storage Management
• Accelerator-Centric Computing
• +۴ مورد دیگر

Dr. Alexandra Fedorova is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia (UBC), with an Associate Member role in the Computer Science department. She leads the Systopia systems research group, focusing on system software design, memory/storage management, and accelerator-centric computing. Her work emphasizes performance optimization, energy efficiency, and hardware-software co-design. She holds a PhD from Harvard University (2006), where she researched operating system scheduling under Margo Seltzer. Prior to UBC, she was an Associate Professor at Simon Fraser University (2006–2015). Fedorova is a recipient of the Alfred P. Sloan Research Fellowship and the Anita Borg Early Career Award. She consults for MongoDB's storage engine team and collaborates with industry on storage and performance challenges. Her research spans tools like Non-sequitur for program trace visualization, studies on storage-class memory (e.g., Optane), and frameworks for GPU acceleration. Recent efforts include Sunstone (spatial accelerator scheduling) and ExtMem (application-aware memory management). Her work bridges low-level systems with high-performance computing needs. Key contributions include optimizing NUMA systems, improving storage engine performance, and exploring processing-in-memory architectures. Fedorova’s projects often involve open-source collaboration, reflected in her GitHub repositories such as vividperf and perf-logging , which support performance analysis tools.

Weimin Huangمشاهده پروفایل

استاد

• Radar Remote Sensing
• Ocean Remote Sensing
• GNSS Reflectometry
• +۳ مورد دیگر

Professor Weimin Huang is a full Professor in the Faculty of Engineering and Applied Science at Memorial University of Newfoundland, where he has served since 2010 and became a full professor in 2019. He held the position of Department Deputy Head from 2020 to 2023. Education: BSc in Radio Physics (Radio Wave Propagation and Antennas), Wuhan University, 1995 MSc in Radio Physics (Radio Wave Propagation and Antennas), Wuhan University, 1997 PhD in Space Physics, Wuhan University, 2001 MEng in Electrical and Computer Engineering, Memorial University of Newfoundland, 2004 Postdoctoral Fellowship in Electrical and Computer Engineering, Memorial University of Newfoundland, 2007 Research Focus: Huang specializes in radar-based ocean remote sensing , with core expertise in high-frequency ground wave radar (HF radar) , GNSS Reflectometry , and synthetic aperture radar (SAR) . His work targets ocean surface parameter mapping including wind speed, oil spills, ship detection, and sea ice monitoring through advanced digital image processing and applied electromagnetics . Recent innovations integrate deep learning (CNNs, physics-informed models) with radar data for enhanced environmental monitoring. Publication Trends: His 2025 publications reveal a strong shift toward AI-driven solutions in remote sensing, with 5 high-impact papers in IEEE TGRS and Remote Sensing focusing on wind speed estimation (using GNSS-R and wavelet-CNN hybrids), oil spill mapping via SAR, ship detection with HF radar, and climate change analysis. These works demonstrate cross-disciplinary integration of machine learning with geophysical remote sensing. Scientific Awards: No awards were documented in the source material. Advising & Collaboration: With 358 co-authors including Bahram Salehi and Biyang Wen, Huang maintains a robust global research network. While specific student supervision isn't listed, his leadership role and publication volume indicate active graduate mentoring. The text mentions no grant details. Research Infrastructure: His work operates within Memorial University's engineering faculty, leveraging radar facilities for ocean sensing. Collaborations span institutions including Wuhan University and SUNY, suggesting participation in international radar remote sensing consortia focused on maritime applications.

Wajiha Shireenمشاهده پروفایل

استاد

• Power Electronics
• Smart Grid
• Renewable Energy Systems
• +۵ مورد دیگر

Dr. Wajiha Shireen is a Professor in the Department of Engineering Technology at the University of Houston’s College of Technology. She has held this position since 1993 and maintains a joint appointment in the Department of Electrical and Computer Engineering. Her academic focus spans power electronics, smart grid technologies, and renewable energy systems. Education: B.S. (Bangladesh University of Engineering and Technology, 1987), M.S. (Texas A&M University, 1991), Ph.D. (Texas A&M University, 1993) Dr. Shireen’s research centers on power quality, wireless power transfer, battery energy storage systems, and the integration of renewable energy sources like solar and wind into modern grids. She has pioneered advancements in MPPT control for photovoltaics and frequency regulation in microgrids , with a particular emphasis on low-inertia grid stability . Her recent publications highlight trends in EV charging infrastructure optimization , predictive control for energy systems , and grid-following battery storage operations . These works intersect electrical engineering, renewable energy, and smart grid technologies. Scientific Awards : College of Technology Outstanding Faculty Award for Teaching (2014) College of Technology Outstanding Faculty Award for Research (1998, 2006) Featured in the Journal of Engineering Technology as a leading researcher (2001) Dr. Shireen has secured over $3 million in grants from the National Science Foundation, Department of Energy, and industry partners like Texas Instruments and Transmark Subsea. She has mentored numerous students, including co-authors Amir Hussain , Preetham Goli , and Sonal Patel , and contributed to the development of educational tools such as the Microgrid Test Bench .