جست‌وجوی استاد و پژوهشگر

• Innovation Policy
• Regional Development
• Labour Markets
• +۵ مورد دیگر

Carolin Ioramashvili is an Assistant Professor in Innovation Policy at the Science Policy Research Unit (SPRU) within the University of Sussex Business School. She holds a PhD in Economic Geography from the London School of Economics (2021) and is a British Academy Innovation Fellow collaborating with the UK Cabinet Office’s Evaluation Task Force. Her research focuses on innovation’s role in regional development, labor markets, and inequality, with a particular interest in policy evaluation and local economic growth. Education: PhD in Economic Geography, London School of Economics (2017–2021), funded by ESRC MSc in Economic History (Research), London School of Economics (2014–2015) BSc in Economics, Maastricht University (2011–2014) Research Interests: Dr. Ioramashvili explores how innovation shapes regional economic dynamics, labor market outcomes, and spatial inequalities. Her work bridges policy analysis and empirical economics, with recent projects examining university-industry collaborations, evaluation frameworks for local growth policies, and the impact of technological concentration on regional disparities. She emphasizes evidence-based approaches to address economic inequality and sustainable development goals like reduced inequalities (SDG 10) and decent work (SDG 8). Key Contributions: Her publications analyze spillovers in spatial economics, technological invention’s labor market effects, and corruption’s impact on firm growth. She is an editorial board member of Spatial Economic Analysis and actively contributes to policy dialogues through her fellowship with the What Works Centre for Local Economic Growth. Awards & Recognition: British Academy Innovation Fellowship (current) Fellow of the Higher Education Academy (2021) Professional Roles: Prior to Sussex, she was a Research Fellow at City-REDI/WM-REDI (University of Birmingham) and a visiting researcher at UCLA’s Luskin School of Public Policy. She advises on regional policy and innovation strategies, blending academic rigor with practical policy implementation.

• Climate Science
• Agricultural Engineering
• Environmental Engineering
• +۴ مورد دیگر

Rabin Bhattarai is an Associate Professor in the Department of Agricultural and Biological Engineering at the University of Illinois Urbana-Champaign. His research focuses on understanding climate change impacts on agricultural systems, water quality management, and extreme weather event analysis. He has collaborated on projects involving crop yield optimization, nitrate loss reduction, and the development of novel biochar-based nutrient capture systems. His work integrates modeling tools such as SWAT and DRAINMOD to assess subsurface drainage systems and their environmental impacts. Key contributions include a globally recognized water quality database for lakes and studies on extreme precipitation regimes in Illinois. Bhattarai's publications emphasize interdisciplinary approaches, combining hydrology, climate science, and engineering to address agricultural sustainability challenges. Recent research highlights include analyzing socially vulnerable communities' exposure to compound extreme heat and precipitation events in the Upper Midwest and evaluating probabilistic approaches for extreme weather prediction. His datasets, such as the Framework of Simulating Structural Sediment Perimeter Barriers, demonstrate commitment to practical applications in erosion control and environmental engineering. Research Strengths: Climate-Driven Agricultural Systems, Hydrological Modeling, Sustainable Nutrient Management Notable Projects: Cover Crop Decision Support Tool, DIRECT4AG Project Series

Barrie Damsمشاهده پروفایل

پژوهشگر

• Sustainable Construction
• Materials Science
• Additive Manufacturing
• +۳ مورد دیگر

Barrie Dams is a Researcher at the University of Bath's Department of Mechanical Engineering, affiliated with the Centre for Integrated Materials, Processes & Structures (IMPS). His work focuses on sustainable construction materials and heritage conservation. He holds a PhD in Aerial Additive Manufacturing and an MEng in Civil Engineering from the University of Bath. Education: PhD in Civil Engineering, University of Bath (2016–2019) MEng (Hons) Civil Engineering, University of Bath (2011–2016) Research Interests: Bio-based construction materials, additive manufacturing with drones, fibrous plaster conservation, and circular economy principles. His projects include the People-Led Net Zero initiative (UKRI-funded) and the Leverhulme Trust project on historic fibrous plaster ceilings. Recent Research Trends: Barrie’s work emphasizes sustainable building materials, lifecycle assessment of bio-based systems, and heritage material preservation. His articles explore thermal performance of bio-walls, failure mechanisms in historic ceilings, and drone-based 3D printing materials. Grants & Collaborations: Involved in EPSRC-funded aerial additive manufacturing and Interreg Circular Bio-based Construction projects. Collaborations include Historic England and fibrous plaster industry partners. Labs/Teams: Part of the IMPS research group and the People-Led Net Zero project team.

Rémy Jacquemondمشاهده پروفایل

پژوهشگر

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

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

Patrick Dumondمشاهده پروفایل

دانشیار

• Vibration and Acoustic System Design
• Inverse Eigenvalue Methods
• Mechanical/Biomechanical Design
• +۳ مورد دیگر

Associate Professor Patrick Dumond holds a Ph.D., M.A.Sc., and B.A.Sc. from the University of Ottawa. He is affiliated with the Department of Mechanical Engineering, Faculty of Engineering. His research focuses on vibration/acoustic system design, inverse eigenvalue methods, biomechanical design, design theory, musical acoustics, and experiential engineering education. He actively contributes to the Centre for Entrepreneurship and Engineering Design (CEED) and advises students in engineering competitions. His work bridges mechanical engineering with biomedical and educational applications, emphasizing practical, hands-on learning. Education: All degrees earned at the University of Ottawa—Ph.D. (2015), M.A.Sc. (uOttawa), B.A.Sc. (uOttawa). Research interests include vibration systems, biomedical prosthetics (e.g., hip joint prostheses), and machine learning for fault diagnosis. He has published extensively on topics like bearing fault detection, data fusion, and educational program design. Professional Involvement: CEED co-development, advising student teams, and advancing multidisciplinary engineering education. Labs/Teams: Core contributor to the Centre for Entrepreneurship and Engineering Design (CEED).

Jeyeon Joمشاهده پروفایل

استادیار

• Wearable Sensors
• Assistive Technology
• Textile Engineering
• +۷ مورد دیگر

Jeyeon Jo is an Assistant Professor in the Department of Textiles, Merchandising and Interiors at the University of Georgia's College of Family and Consumer Sciences. Her research focuses on wearable sensors, assistive technology, and ergonomic design, with an emphasis on sustainable materials and healthcare applications. She holds a Ph.D. in Human Centered Design from Cornell University (2023), an M.S. in Fashion Design (2017), and a B.S. in Clothing and Textiles (2014), both from Seoul National University. **Education:** Ph.D. Human Centered Design, Cornell University (2023) M.S. Fashion Design, Seoul National University (2017) B.S. Clothing and Textiles, Seoul National University (2014) **Research Interests:** Jeyeon develops wearable healthcare solutions using stretchable fiber optics and passive RFID, with a focus on optimizing user comfort and performance. Her work spans assistive technologies, firefighting gear ergonomics, and cross-cultural studies of clothing's sociocultural role. Recent projects include sustainable textile prototyping (LeatherBoard) and gait-monitoring systems (RFInsole). **Awards:** Human Service Studies Graduate Fellowship (Cornell, 2022) Best Brief at ISWC 2021 (2021) Roberta G. & John B. De Vries Graduate Award (Cornell, 2020) **Grants & Advising:** Currently no grants explicitly listed; actively advising students in wearable tech and textile engineering. Editorial roles include Fashion and Textiles (2024–present) and Korean Fashion & Textile Research Journal (2025–2026).

Thomas Heldtمشاهده پروفایل

دانشیار

• Computational Physiology
• Neuromonitoring
• Critical Care Informatics
• +۲ مورد دیگر

Thomas Heldt is Associate Professor of Electrical and Biomedical Engineering in the Department of Electrical Engineering and Computer Science at MIT, and a Principal Investigator at MIT's Research Laboratory of Electronics. He leads the Integrative Neuromonitoring and Critical Care Informatics Group and serves as Associate Director of the Institute for Medical Engineering and Science. Research focuses on: Noninvasive intracranial pressure monitoring Computational models of cerebrovascular dynamics Sepsis detection algorithms Wearable physiological monitoring Clinical decision support systems Recent publications (2022-2024) demonstrate advances in hemodynamic modeling, diagnostic algorithms for critical care, and AI applications for physiological monitoring. Key innovations include open cranium models for intracranial hypertension studies, deep learning frameworks for fatigue assessment, and mobile-based neurocognitive tracking. Professor Heldt collaborates with Boston Children's Hospital, Beth Israel Deaconess Medical Center, and Boston Medical Center to translate research into clinical practice. His work has been recognized through the W.M. Keck Career Development Professorship and IEEE EMBS Distinguished Lectureship.

Vivienne Szeمشاهده پروفایل

استاد

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

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

• Materials Science
• Computational Chemistry
• Density Functional Theory
• +۳ مورد دیگر

Michael Herbst is an Assistant Professor (tenure-track) at EPFL, holding a joint appointment in the School of Basic Sciences (SB) and the School of Engineering (STI). He leads the Mathematics for Materials Modelling (MatMat) research group, focusing on error control in atomistic simulations, density-functional theory (DFT), and interdisciplinary computational methods. His work bridges mathematics, materials science, and computer science, emphasizing robust algorithms and Julia-based software development. Herbst holds a PhD from Heidelberg University and has held postdoctoral positions at RWTH Aachen and Inria Paris. He is a core member of the MARVEL and CESMIX research centers. Education: 2018: Dr. rer. nat. (magna cum laude), Heidelberg University 2009–2013: BA and MSci (1st class) in Natural Sciences, University of Cambridge 2008–2009: Studies in Mathematics/Physics, TU Kaiserslautern Research Interests : Herbst's research centers on developing reliable computational methods for materials modeling, including error estimation in DFT, black-box SCF algorithms, and Julia-based tools like the Density-Functional Toolkit (DFTK). His work addresses challenges in high-throughput simulations, numerical stability, and interdisciplinary collaboration across mathematics, physics, and computer science. Grants & Projects : MARVEL Center for Computational Design (EPFL) CESMIX Center for Extreme-Scale Simulations (MIT) EMC² Project (Sorbonne/Inria/École des Ponts) Awards : HGS MathComp PostDoc Fellowship (2018–2021) DAAD Travel Funding (2018) Exploratory Research Space Fund (RWTH Aachen, 2022) Labs & Teams : Head of the MatMat group at EPFL, focusing on error-controlled simulations and open-source software development.

Edoardo Serraمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۵ مورد دیگر

Edoardo Serra is an Associate Professor in the Department of Computer Science at Boise State University (BSU), a role he has held since July 2021. He previously served as an Assistant Professor at BSU from 2015 to 2021 and holds a joint appointment as a Senior Researcher at Pacific Northwest National Laboratory (PNNL) since June 2021. Since January 2023, he has co-directed the Computing Ph.D. Program at BSU and serves as General Chair of the 2024 ACM CIKM Conference. His academic journey includes a Ph.D. in Computer Science Engineering from the University of Calabria, Italy (2012), followed by postdoctoral positions at the University of Calabria and the University of Maryland. He also served as a Visiting Researcher at UCLA (2010–2011). His research focuses on AI/ML applications in cybersecurity, graph representation learning, generative AI, and robust AI systems. Notable projects include: NSF-funded cybersecurity curriculum integration Department of Defense-funded analysis of terrorist networks Idaho Department of Commerce precision agriculture initiatives Key research areas include graph neural networks, adversarial robustness, and ML-driven security solutions. His work has been recognized with awards such as Best Application Paper (2021) and Best Paper Award (2018). He actively contributes to professional service roles, including program chairs and editorial boards. Current projects emphasize AI ethics, generative models, and scalable graph algorithms. He advises on applied AI consulting for industry and government, focusing on model interpretability and cybersecurity implications.

Konrad Kulikowskiمشاهده پروفایل

استادیار

• Employee Remuneration
• Performance Appraisal Systems
• HR Analytics
• +۵ مورد دیگر

Dr. Konrad Kulikowski serves as Assistant Professor and Vice-Dean for Education at the Faculty of Organization and Management, Łódź University of Technology. He is affiliated with the Institute of Management where his research focuses on human resource analytics, compensation systems, and occupational psychology. His work examines pay transparency, work engagement, burnout mechanisms, and evidence-based management practices in organizational contexts. Research interests span: Psychometric analysis of intellectual capital HR analytics implementation challenges Pay fairness perception modeling Higher education evaluation systems Work engagement predictors Recent publications (2023-2024) demonstrate strong emphasis on compensation psychology, research evaluation methodologies, and occupational health in specialized populations. Key thematic clusters include academic assessment systems, pay transparency frameworks, and neurodiverse workforce management. Outside academia, Dr. Kulikowski promotes evidence-based HR practices through industry collaborations and contributes analytical content to professional platforms including Wynagrodzenia.pl and RynekPracy.pl.

Sheheeda Mariam Manakkaduمشاهده پروفایل

دانشیار

• Robotics
• Data Analytics
• Machine Learning
• +۴ مورد دیگر

Sheheeda Mariam Manakkadu is an Associate Professor in the Department of Computer Science at Southern Illinois University Carbondale. She teaches graduate courses in Data Structures, Object-Oriented Programming, Data Mining, Text Mining, and Cloud Architecture, along with undergraduate courses in Operating Systems and Data Analytics. Ph.D., Computer Engineering M.E., Biomedical Engineering Her research spans robotics, data analytics, and parallel computing. Key areas include adaptive control of robotic manipulators, big data processing via MapReduce, IoT resource allocation, and computational bioinformatics for protein networks. Recent publications focus on neuro-sliding mode control, cloud architecture, and scalable recommender systems. She actively participates in academic service as a committee member for graduate courses and the IEEE Erie Section. Her work integrates machine learning, optimization algorithms, and distributed systems across diverse domains.

• Data Quality
• Database Systems
• Data Profiling
• +۷ مورد دیگر

Felix Naumann is a Professor at the Hasso Plattner Institute in Potsdam, Germany, specializing in data management and database systems. His research focuses on data quality, data profiling, entity resolution, functional dependencies, and database optimization. He has authored over 300 publications in top-tier conferences and journals, including VLDB, SIGMOD, and ICDE. His work bridges theoretical foundations with practical systems, such as TASHEEH for data cleaning and PRISMA for privacy-preserving schema matching. He serves as an editor for the ACM Journal of Data and Information Quality and has led initiatives on hybrid conference formats and inclusive computing. Key contributions include: Data Quality: Pioneered studies on data quality's impact on machine learning and developed tools like AutoTSAD for anomaly detection. Data Dependency Discovery: Advanced functional and inclusion dependency mining algorithms, including Hitting Set Enumeration methods. Schema Matching & Integration: Created systems like BrewER and Frost for entity resolution and schema alignment. Educational Impact: Led massive open courses in data engineering with over 10,000 participants. His work emphasizes practical applications in cultural heritage data (ReCLAIM), Wikipedia table analysis, and cross-platform data systems (RHEEMix). He collaborates extensively with industry and academia, addressing challenges in dynamic datasets and data governance.

Ludo Ausielloمشاهده پروفایل

مدرس ارشد

• Audio Engineering
• Signal Processing
• Electro-Acoustics
• +۴ مورد دیگر

Dr. Ludo Ausiello is a Senior Lecturer in Electronics at the University of Portsmouth, affiliated with the School of Electrical and Mechanical Engineering and the Faculty of Technology. His roles include membership in the Portsmouth AI and Data Science Centre and the Portsmouth Centre for Advanced Materials and Manufacturing. He holds a Fellowship of the Higher Education Academy and is a member of the Institute of Acoustics. Education: Integrated Master’s in Electronic Engineering (University of Bologna), European PhD in Audio Engineering, and PGCert in Higher Education (2019). Professional training includes Fonoprint Studios (Bologna) and industry experience at Maserati, Magneti Marelli, and Harman. Research interests focus on audio engineering, signal processing, electro-acoustics, and innovative manufacturing. Recent work includes developing affordable measurement ecosystems for musical acoustics, optimizing soundboard designs via least-squares analysis, and applying AI to room acoustics prediction. His studies span topics like wood elasticity, loudspeaker design, and vocal fatigue in educational spaces. Awards: Fellowship of the Higher Education Academy (2019). Teaching and advising: Taught analog and digital oscillator design at the University of Bologna and contributed to curriculum development at Solent University. Active in mentoring students through collaborative industry projects. Labs/Teams: Engaged with interdisciplinary teams at Portsmouth, focusing on advanced materials and AI-driven acoustic solutions.

IMRAN Bashirمشاهده پروفایل

مدرس ارشد

• Acoustic Metamaterials
• Aeroengine Acoustics
• Condition Monitoring
• +۳ مورد دیگر

Dr. IMRAN Bashir is a Senior Lecturer in Instrumentation & Control Engineering at Teesside University's SCEDT Engineering Centre for Sustainable Engineering. He holds a PhD in Acoustics Metamaterials from an EU-FP7 funded project and has extensive postdoctoral experience across the University of Bath, Southampton, and Exeter. His research focuses on acoustic metamaterials, aeroengine acoustics, and condition monitoring. Education: PhD in Acoustics Metamaterials (EU-FP7 HOSANNA Project) MSc in Data Communication (University of Sheffield) BEng in Electrical Engineering (COMSATS University, Pakistan) His research interests span acoustic metamaterials, aeroengine acoustics, vibration control, and signal processing. He leads projects like the EU Horizon 2020 AERIALIST initiative for noise reduction in aeronautics. Current work includes smart bearing systems for aeroengines and condition monitoring for wave energy devices. Collaborations include multi-university projects on hydrogen production and sustainable engineering. He has published extensively in peer-reviewed journals and conferences, with a focus on battery diagnostics, acoustic modeling, and smart systems. As a Co-Investigator in the Hydrogen Production Life-Cycle project (2024–2026), he contributes to knowledge transfer for emerging energy markets. His interdisciplinary approach bridges engineering disciplines, emphasizing practical applications in aerospace, energy, and environmental acoustics.