جست‌وجوی استاد و پژوهشگر

Ansuman Bhattacharyaمشاهده پروفایل

استادیار

• Networks
• Network Security
• Next Generation Networks
• +۵ مورد دیگر

Ansuman Bhattacharya serves as an Assistant Professor in the Department of Computer Science at Southern Illinois University's College of Engineering, where he directs the Advanced Networking and Network Security (ANNS) Laboratory. His research spans multiple critical areas of modern networking and security with a focus on next-generation communication systems. Dr. Bhattacharya holds a Ph.D. in Radio Physics and Electronics from the University of Calcutta, establishing a strong foundation for his work in advanced networking technologies. His educational background bridges physics and computer science, providing unique insights into network communication challenges. His research interests center around Networks and Network Security with particular emphasis on Next Generation Networks, Internet-of-Things, Cognitive Radio Networks, Software Defined Networks, Green Communication, and Wireless Network Security. This diverse portfolio addresses critical challenges in modern communication systems, from energy efficiency to security protocols for emerging technologies. His work often combines theoretical frameworks with practical implementations, as evidenced by numerous publications in top-tier journals and conferences. Dr. Bhattacharya's research output demonstrates a clear progression toward increasingly sophisticated security protocols for IoT and wireless systems, with recent work focusing on zero-trust architectures, distributed authentication systems, and AI-enhanced security frameworks. His publications span prestigious venues including IEEE Transactions, Elsevier journals, and major international conferences. Best Paper Award at International Symposium on Intelligent Robotics and Industrial Automation (IRIA-2021) for 'Secure Communication System Implementation for Robot-Based Surveillance Applications' 3rd Best Paper Award at International Conference on Recent Trends in Information Technology (IEEE ICRTIT) for 'Image Stenography using Advanced Encryption Standard for implantation of Audio/Video Data' As Director of the ANNS Lab, Dr. Bhattacharya mentors numerous Ph.D., MS, and undergraduate students while securing research funding from agencies including Technology Innovation in Exploration & Mining Foundation (TEXMiN) and IMPRINT-II, Science & Engineering Research Board (SERB), DST, Govt. of India. His lab benefits from state-of-the-art computing resources including high-performance workstations with NVIDIA RTX A6000 and RTX 4090 graphics cards, providing students with cutting-edge tools for network simulation and security research. The lab actively pursues research projects in sensor-based dust suppression systems and robotic surveillance technologies, demonstrating practical applications of theoretical networking concepts.

• Cloud Computing
• Virtualization
• System Administration
• +۴ مورد دیگر

Kyrre Matthias Begnum serves as an Associate Professor at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU). His academic career spans over two decades with significant contributions to cloud infrastructure, virtualization technologies, and system administration practices. Dr. Begnum's research focuses on several key areas within computer systems: Cloud computing and virtualization technologies Resource management and optimization in data centers Network security and intrusion detection systems System administration education and pedagogy Unikernels and lightweight virtualization approaches Application of machine learning to system management problems His publication record demonstrates consistent innovation in virtual machine management, with notable contributions including the application of stable marriage matching theory to load distribution problems and the development of Bayllocator, a proactive system using Bayesian networks for memory resource allocation. Begnum's work bridges theoretical computer science with practical infrastructure challenges, particularly in data center optimization. His recent publications show expanding interests into historical perspectives of computing, as evidenced by his 2024 book 'From EDB to KI. 40 years of information technology,' which examines the evolution of information technology over four decades. This demonstrates his ability to connect historical context with current developments in artificial intelligence and computing systems. Dr. Begnum has made substantial educational contributions through works like 'The Uptime challenge: A learning environment for value-driven operations through gamification' and his investigations into MSc program learning outcomes for Network and System Administration. His commitment to science communication is evident through public engagements like the 'Anti-IKT debatt' and 'Vitenshow: Roboten og du' presentations.

Bryan Gardinerمشاهده پروفایل

دانشیار

• Data Analytics
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Bryan Gardiner is a Reader (Associate Professor) and Associate Head of the School of Computing, Engineering and Intelligent Systems at Ulster University. He holds a first class honours degree in Electronics and Computer Systems (2006) and a Ph.D. from Ulster University (2010). As a Fellow of the Higher Education Academy, he provides operational leadership in school management with a focus on educational quality assurance. His academic affiliations include: Research Lead for the Intelligent Data Analytics team within the Intelligent Systems Research Centre Member of IEEE UKRI society Member of IEEE Signal Processing Society (SPS) Member of Irish Pattern Recognition & Classification Society (IPRCS) Member of International Association of Pattern Recognition (IAPR) Member of British Machine Vision Association (BMVA) Gardiner's research focuses primarily on Data Analytics with a keen emphasis on Computer Vision. His work spans medical imaging applications, autism spectrum disorder detection, and machine learning algorithms. He has secured significant funding from MRC, HSCNI, Interreg NWE, Innovate UK, Invest NI, and InterTradeIreland for both fundamental research and technology commercialization projects. Analysis of his 63 research outputs reveals strong trends in medical image analysis (particularly for adrenal tumors and autism detection), hexagonal image processing techniques, and machine learning applications across healthcare domains. His work shows consistent citation impact with several papers receiving over 25 citations each. Among his notable scientific contributions: Fellow of the Higher Education Academy Guest Editor of MDPI Remote Sensing Journal Member of multiple program committees including International Conference on Image Processing Theory, Tools and Applications Gardiner actively supervises research students and has contributed to 4 supervised works. He currently leads or participates in 11 research projects including "The use of Agentic AI in judicial decision-making" and "Smart Nano-Manufacturing Corridor". His professional service includes reviewing for international conferences and journals and serving on program committees for major vision and image processing conferences. His laboratory work centers around the Intelligent Data Analytics team, focusing on developing novel image processing techniques, particularly for medical applications and computer vision systems. Current projects involve AI applications in healthcare, judicial systems, and manufacturing optimization.

• Labor Economics
• Gender Economics
• Political Economy
• +۳ مورد دیگر

Dr. Gözde Çörekçioğlu Ishakoğlu is an Assistant Professor in the Department of Economics at Özyeğin University, Faculty of Business Administration, and a Research Affiliate at the Institute for the Study of Labor (IZA). She earned her PhD in Economics from the European University Institute (2019) and holds dual bachelor's degrees in Economics and Mathematics from Koç University (2011). Her work bridges applied economics with organizational behavior, focusing on workplace climate and gender dynamics. Research Interests Labor Economics Gender Economics Political Economy Workplace Climate Transformation Women's Leadership in Organizations Mental Load and Career Implications Recent Publications Her research spans parental leave policies, gender inequality, and political economy. Notable studies include experimental analyses of workplace climate interventions, investigations into headscarf bans in Turkey, and evaluations of paid parental leave expansions across Europe. Scientific Awards & Grants Outstanding Achievement Award in Research (2024-2025) Best Paper Award on Gender Economics (2018) TUBITAK 1002 Project Grant (2023-2024) Norwegian Research Council VAM Grant (2021-2027) Max Planck Institute Grant (2019-2023)

Elsa Silvaمشاهده پروفایل

استادیار

• Operations Research
• Cutting and Packing Problems
• Combinatorial Optimization
• +۲ مورد دیگر

Elsa Silva serves as Assistant Professor in the Department of Production and Systems at the School of Engineering, University of Minho, and holds a dual appointment as Senior Researcher and coordinator of the SEOR (Systems Engineering and Operational Research) group at the ALGORITMI research centre. Her academic foundation includes a PhD in Industrial and Systems Engineering (2012) and a degree in Applied Mathematics, both from the University of Minho. Her educational credentials comprise: PhD in Industrial and Systems Engineering, University of Minho (2012) Degree in Applied Mathematics, University of Minho Dr. Silva's research centers on Operations Research with pioneering contributions to Cutting and Packing Problems , where she develops hybrid algorithms combining mathematical programming with heuristics for industrial applications. Her work spans combinatorial optimization in logistics (prisoner transportation, fishing fleet routing), retail operations (shelf-space management, grocery backroom layout), and manufacturing (textile cutting, plasma processing), often addressing uncertainty and real-world constraints. She emphasizes bridging theoretical advances with practical implementations across sectors. Her recent publications (2021-2025) reveal evolving trends toward integrating uncertainty modeling with cutting stock problems, advancing 3D guillotine cutting frameworks, and solving complex logistics challenges like cross-docking and container loading. A consistent theme is the development of flexible matheuristics that balance computational efficiency with solution quality, as demonstrated in her Floating-Cuts model and adaptive sequence-based approaches. These works appear in top journals including European Journal of Operational Research and Omega , reflecting her impact on both theoretical and applied operations research. Her scientific recognition includes: Finalist for the 2015 Daniel H. Wagner Prize (INFORMS) Runner-up for the 2019 ITOR Best Paper Prize Diploma of Recognition of Pedagogical Merit (2021) Dr. Silva has supervised one post-doctoral researcher, two PhD theses, ten MSc dissertations (as supervisor/co-supervisor), and mentored three PhD students. Her academic service encompasses: Organizing two international conferences and three EURO conference streams Serving on examination boards for 5 PhDs (2 abroad) and 51 MSc theses (2 abroad) Providing 50+ peer reviews for international journals Scientific committee membership for EURO/ROADEF 2018 challenge Editorial board service for Portuguese Association for Operational Research bulletin (2022-23) As SEOR group coordinator at ALGORITMI, she leads a dynamic team developing optimization solutions for industrial partners in manufacturing, logistics, and retail. The group focuses on translating cutting-edge research into practical tools for waste reduction, logistics efficiency, and operational decision-making, maintaining strong industry-academia collaboration channels.

• Wireless Communication
• Mobile Networks
• Energy Efficiency in Communication Systems
• +۳ مورد دیگر

Megumi Saito is an Assistant Professor at the Faculty of Science and Engineering , Global Information and Telecommunication Institute , specializing in wireless communication and energy-efficient network design. Her work focuses on Device-to-Device (D2D) communication solutions for battery stress mitigation and network reliability. Research Themes : D2D-based communication recovery during network failures Virtual battery resource sharing in 5G networks Ultra-low latency protocols for terminal communication Energy-saving methods for IoT and mobile devices Her research demonstrates how D2D communication can extend device battery life while addressing operator load fairness and network congestion. Publications span 5G applications, simulation-based performance validation, and experimental analysis of LTE-D2D power consumption differences. No scientific awards or student advisement details are explicitly mentioned in the provided texts.

• Rural environmental engineering
• Regional resource circulation
• Local currencies
• +۷ مورد دیگر

Dr. Yuji Nagai is a Professor and Senior Researcher at Waseda University's Environmental Research Institute, Faculty of Science and Engineering, with additional appointment as Visiting Professor at Tokyo University of Agriculture and Technology. His career at Waseda spans over 15 years, progressing from Adjunct Researcher (2007-2010) to Councilor (2010-2014), Researcher (2014-2015), Associate Professor (2015-2022), and currently Professor (2022-present). Dr. Nagai earned his Doctor of Arts in Social Sciences from Waseda University in 2012, following completion of doctoral studies in the Graduate School of Global Information and Telecommunication Studies (2001-2004), a Master's in the Graduate School of Science and Engineering (1994-1996), and undergraduate studies in the School of Science and Engineering (1990-1994). His research focuses on practical applications of environmental engineering and program management, particularly in rural environmental planning, regional resource circulation systems, local ecological monetary systems, and biomass utilization for decarbonization. Nagai has pioneered the application of Program and Project Management (P2M) methodologies to environmental challenges, with emphasis on stakeholder engagement, consensus building, and multi-sectoral collaboration. His work bridges theoretical frameworks with practical implementation in Japanese municipalities. Analysis of Dr. Nagai's 15 most recent publications reveals consistent focus on environmental problem-solving through structured management approaches. His work demonstrates increasing sophistication in applying P2M frameworks to complex environmental challenges, with growing emphasis on decarbonization, biomass utilization, and SDGs implementation. The research spans theoretical development of management frameworks to concrete case studies in Japanese municipalities and international contexts. 31st International P2M Society Spring Research Presentation Conference Presentation Encouragement Award (2021) 25th International P2M Society Spring Research Presentation Conference Presentation Encouragement Award (2018) Dr. Nagai has been instrumental in numerous research projects including the W-BRIDGE industry-academia collaboration program (2008-2020), Fukushima social innovation creation projects, and various environmental initiatives funded by the Ministry of the Environment. He serves as Program Officer for multiple environmental research programs, facilitating collaboration between industry, government, academia, and citizens. His work with the Teshima waste disposal project exemplifies his approach to environmental problem-solving through information visualization and stakeholder engagement. Through his leadership in the Environmental Research Institute and various committee memberships across Japanese municipalities, Dr. Nagai has established platforms for environmental innovation that connect academic research with practical community implementation. His work on regional circular and ecological spheres demonstrates how structured management approaches can transform environmental challenges into opportunities for community development.

• Power Systems
• Smart Grid
• Renewable Energy Integration
• +۳ مورد دیگر

Hideo Ishii is a Professor at Waseda University's Faculty of Science and Engineering and a Concurrent Researcher at the Waseda Center for a Carbon Neutral Society (2024-2026). He teaches graduate courses across the Graduate Schools of Fundamental Science and Engineering, Creative Science and Engineering, and Advanced Science and Engineering, covering power systems, energy materials, and international standardization. His research specializes in electrical power systems with emphases on smart grid infrastructure, demand response optimization for residential appliances, and photovoltaic integration challenges. Key investigations include voltage control methodologies for renewable-heavy distribution networks, communication protocols for grid automation, and household energy flexibility modeling to enhance grid stability during energy transitions. Publication analysis shows consistent contributions to power system modernization, with 2020 work on laundry appliance demand response building upon 2016 smart grid communication demonstrations and 2012 experimental PV voltage control research. This trajectory reflects sustained focus on practical grid solutions balancing renewable adoption and system reliability. Through the Waseda Center for a Carbon Neutral Society, Professor Ishii advances decarbonization research while educating engineers via specialized courses like Power Resource Optimization and Technological Excellence seminars that integrate technical rigor with global standardization frameworks.

Sriram Krishnamoorthyمشاهده پروفایل

استاد پژوهشی

• Parallel Programming Models
• Fault Tolerance
• High-Performance Computing
• +۶ مورد دیگر

Sriram Krishnamoorthy is a Research Professor at Washington State University's School of Electrical Engineering & Computer Science and a research scientist at Pacific Northwest National Laboratory (PNNL), where he serves as the System Software and Applications Team Leader in PNNL's High Performance Computing group. Dr. Krishnamoorthy earned his B.E. from the College of Engineering, Guindy in Chennai, India, and his M.S. and Ph.D. degrees from The Ohio State University. He is a senior member of the Institute of Electrical and Electronics Engineers. His research focuses on parallel programming models, fault tolerance, and compile-time/runtime optimizations for high-performance computing. He has made significant contributions in areas including: Fault tolerance techniques that minimize rollback during failures Dynamic load balancing for irregular parallel applications Compiler and runtime optimizations for HPC applications GPU programming and heterogeneous computing Quantum chemistry simulations and quantum computing Dr. Krishnamoorthy's publications span computational science, high-performance computing, and quantum chemistry. His recent work shows strong trends toward quantum computing applications, fault tolerance in large-scale systems, and optimization of computational chemistry methods. He has developed techniques for density matrix quantum circuit simulation, floating-point error analysis, and scalable execution of coupled-cluster models. His scientific achievements have been recognized with several prestigious awards: Best Paper Award at International Conference on High Performance Computing (HiPC'03) Best Paper Award at International Parallel and Distributed Processing Symposium (IPDPS'04) U.S. Department of Energy Early Career award (2013) PNNL's Ronald L. Brodzinski Award for Early Career Exceptional Achievement (2013) The Ohio State University's Outstanding Researcher award (2008) Dr. Krishnamoorthy has advised numerous graduate students and collaborated extensively with researchers across computational science domains. His work on the NWChem project demonstrates significant grant funding and large-scale collaborative research efforts in computational chemistry. He leads research efforts in PNNL's High Performance Computing group, focusing on system software and applications development for next-generation supercomputing platforms.

• Blockchain Technology
• Distributed Systems
• Wireless Sensor Networks
• +۳ مورد دیگر

C.U. Ileri is a researcher at Delft University of Technology's Data-Intensive Systems department within the College of Electrical Engineering, Mathematics and Computer Science. His work focuses on blockchain systems, distributed algorithms, and wireless sensor networks. Research Areas: Blockchain, Web3, Sybil attack mitigation, fault-tolerant algorithms, wireless sensor networks Key Contributions: Developed latency-based Sybil defense mechanisms, blockchain interoperability protocols (XChange), and capacitated graph algorithms for WSNs His publications span blockchain-based federated learning, zero-knowledge identity frameworks, and distributed graph optimization techniques. Recent work explores IOTA 2.0's finality guarantees and zkSSI's privacy-preserving capabilities. Collaborations include joint datasets with Q. Stokkink and J. Pouwelse, focusing on latency measurements and reputation system prototypes. Research outputs demonstrate expertise in balancing security, efficiency, and scalability in decentralized systems.

Jenelle Stoneمشاهده پروفایل

استادیار

• Educational Leadership
• Teacher Education
• Assessment and Evaluation
• +۳ مورد دیگر

Jenelle Stone serves as Assistant Professor of Education and Director of Educational Leadership at George Fox University's College of Education, leveraging expertise in educational leadership, school psychology, and special education to advance teacher training and assessment practices. Education: PhD in Educational Leadership (2007), University of Oregon Master's in School Psychology (2008), University of Oregon Master's in Special Education (2005), University of Oregon Master's in Counseling Psychology (2003), Lewis & Clark College Bachelor's in Psychology (2000), Lewis & Clark College Research Focus: Her work integrates educational leadership with practical applications in teacher education, assessment design, special education, and literacy. Key investigations include data literacy development, scaffolding problem-solving in assessments, literacy strategy implementation for pre-service teachers, and transition challenges in online higher education. Publication Trends: Spanning 2007-2017, her research consistently addresses assessment validity across educational contexts, with growing emphasis on data-driven decision-making. Publications reveal deep engagement with Response to Intervention models, testing accommodations, and oral reading fluency assessment, demonstrating commitment to bridging research-practice gaps in K-12 and higher education settings. Scientific Awards: None mentioned. Advising & Professional Service: As practicum supervisor and Teacher Performance Assessment coordinator at Pacific University, she mentors emerging educators. Her field experience across Oregon and California school districts directly informs her applied research approach, though specific grant funding isn't documented. Personal Engagement: Residing in Elmira, Oregon, she actively participates in Asbury United Methodist Church while balancing family life with basketball, hiking with her dog Ella, and maintaining gratitude journals.

Whitney Wall Bortzمشاهده پروفایل

استادیار

• Education
• Higher Education
• STEM Education
• +۳ مورد دیگر

Whitney Wall Bortz serves as Assistant Professor of Liberal Studies and Program Coordinator in the School of Arts and Sciences at Fresno Pacific University, where she also holds the position of Faculty Senate Chair and Faculty Representative. Her leadership extends to academic governance while maintaining active research and teaching responsibilities. Her academic credentials include a Doctor of Philosophy (Ph.D.) in Education from Queen's University, Belfast; a Master of Arts (M.A.) from Pepperdine University; and a Bachelor of Arts (B.A.) in Humanities from Pepperdine University. This educational foundation supports her transition from middle school teaching to higher education administration. Dr. Bortz's research centers on educational systems with emphasis on STEM recruitment dynamics, computational thinking integration, and teacher bias analysis. Her work examines how financial incentives impact graduate recruitment in STEM fields, develops frameworks for embedding computational thinking into science curricula, and investigates implicit gender biases in mathematics instruction. This research program addresses critical gaps in educational equity and pedagogical effectiveness. Her publication portfolio reveals consistent focus on assessment design, recruitment systems, and integration challenges across STEM education. Trends show increasing emphasis on computational thinking applications in K-12 settings alongside persistent investigation of structural barriers in graduate education pathways. Professional recognition includes: Best Paper Award and Finalist for Zone 2 at American Society for Engineering Education Southeastern Conference (2019) As Program Coordinator, Dr. Bortz likely oversees curriculum development and student advising within Liberal Studies, though specific mentoring details aren't documented. Her collaborative publication pattern suggests active engagement with interdisciplinary research teams, particularly in STEM education initiatives. No laboratory facilities or dedicated research centers are referenced in available materials.

Qingyang Linمشاهده پروفایل

استاد پژوهشی

• Pore-Scale Imaging
• Transport in Porous Media
• Energy Engineering
• +۵ مورد دیگر

Qingyang Lin is a PhD Research Professor and Doctoral Supervisor at the College of Energy Engineering, Zhejiang University , where he joined in October 2020. His expertise lies in pore-scale imaging and modeling of transport in porous media, with applications across energy sectors. Prior to this, he was a Research Associate at Imperial College London (2015-2020), collaborating with Prof Martin J. Blunt (FREng). He holds a PhD (2015) in Earth Science and Engineering from Imperial College London, supervised by Prof Stephen Neethling and Prof Peter Lee (FREng). His research integrates advanced X-ray imaging, synchrotron sources, and numerical models to study micro/nano-scale transport mechanisms. Key research themes: CO 2 storage and uncertainty quantification Thermal energy storage optimization Decarbonization strategies for industries Electrochemical device design Mineral and ore processing His publications span journals like Applied Energy , AIChE Journal , and Geophysical Research Letters , reflecting interdisciplinary applications of porous media transport. While no specific awards or grants are mentioned, his work has accrued over 2900 citations with an h-index of 32. He advises doctoral students at Zhejiang University, though no advisees are named in the provided text.

• Sensorimotor Control
• Rehabilitation Science
• Biomechanics
• +۴ مورد دیگر

Charlotte Häger is a Professor of Physiotherapy at Umeå University's Faculty of Medicine, holding a joint clinical appointment in the Department of Community Medicine and Rehabilitation's Physiotherapy Unit. She leads the interdisciplinary U-Motion Laboratory, focusing on human sensorimotor control and rehabilitation. Her research examines movement mechanics in conditions like ACL injuries, stroke, and spinal cord damage using advanced methodologies including motion capture, fMRI brain imaging, and robotic exoskeletons. Her research interests span sensorimotor control , rehabilitation biomechanics , and neurological recovery , with particular emphasis on developing precision medicine approaches for knee injuries and neurorehabilitation. Current projects include ACL injury mechanisms, sensorimotor control post-stroke, and movement assessment innovations. She received the IKSU Sports Science Prize 2021 for research excellence. Her work is funded by major organizations including the Swedish Research Council, Swedish Brain Foundation, and Promobilia. Häger maintains extensive international collaborations across 8+ countries and leads a multidisciplinary team of engineers, statisticians, and clinicians. She teaches in physiotherapy programs and holds key university leadership positions including Research Board membership.

• Environmental Economics
• Resource Economics
• Ecosystem Services
• +۴ مورد دیگر

Weizhe Weng is an Assistant Professor in the Agricultural Food and Resources Economics department at the University of Florida's Institute of Food and Agricultural Sciences. Dr. Weng specializes in environmental and resource economics with a focus on ecosystem services, water quality management, and agricultural economics. Their research bridges economic theory with environmental science to address pressing issues in natural resource management. Dr. Weng's research interests span environmental economics, resource economics, and ecological applications. Their work examines the economic dimensions of water quality policies, ecosystem services valuation, and agricultural management practices. A significant portion of their research focuses on integrated assessment modeling that connects human decision-making with environmental outcomes, particularly in freshwater systems. They investigate how economic incentives can be aligned with conservation goals through mechanisms like Payments for Ecosystem Services (PES) programs. The publication record demonstrates consistent contributions to high-impact journals in environmental economics, resource management, and interdisciplinary environmental science. Recent work shows increasing focus on integrated modeling approaches that couple economic and biophysical systems, with particular attention to water quality management in Florida and the Midwest. Dr. Weng frequently collaborates with interdisciplinary teams spanning economics, ecology, limnology, and environmental science. Dr. Weng currently holds two active research grants: 'Architected Materials for Extreme Resistance in Coastal Applications (AMERICA)' and 'Conservation Hub for the Economic Empowerment of Rural Stakeholders (CHEERS)'. Their research has practical applications for policymakers, extension agents, and landowners seeking to balance agricultural production with environmental conservation.