جست‌وجوی استاد و پژوهشگر

Maria Sharminaمشاهده پروفایل

استاد

• Energy Systems
• Circular Economy
• Climate and Energy Policies
• +۳ مورد دیگر

Maria Sharmina is a Professor in Energy and Sustainability at The University of Manchester’s School of Engineering, affiliated with the Tyndall Centre for Climate Change Research and Policy@Manchester. She holds roles including Co-Director of Policy@Manchester, UKRI Digital Security & Resilience Theme advisor, and Sustainable Robotics Committee member at BSI. Her work focuses on low-carbon business models, circular economy, and climate policy, with leadership in projects like the £6M UKRI BuildZero programme. Education: PhD in the Tyndall Centre, background in economics and statistics. She advises governments (e.g., UK Government Office for Science, BEIS) and has served on University Senate and Departmental Research Leadership roles. Research Interests: Energy systems transformation, food-energy-water nexus, emission scenarios, and policy design. She emphasizes sustainable innovation, net-zero housing, and plastics circularity. Key projects include analyzing hydrogen’s role in decarbonization, SME compliance with plastics policies, and financing smart local energy systems. Awards: 2024 Social Responsibility Medal and Making A Difference Award for contributions to social/environmental impact via entrepreneurship. Her work bridges academia and policy, with outputs including 79 research publications and 16 projects. Grants/Consultancy: Principal Investigator on BuildZero (UKRI £6M), funded studies on community energy finance, and consultancy with Oxfam, Manchester City Council, and the Co-operative Group. Labs/Teams: Lead researcher at Tyndall Manchester, collaborates across disciplines (e.g., Digital Futures Institute) to address sustainability challenges through systemic approaches.

Jyh-Hone Wangمشاهده پروفایل

استاد

• Transportation Human Factors
• Driving Safety
• Intelligent Transportation Systems
• +۵ مورد دیگر

Professor Jyh-Hone Wang holds a faculty position in the Department of Mechanical, Industrial and Systems Engineering at the University of Rhode Island (URI). His research focuses on transportation human factors, driving safety, and intelligent transportation systems, with particular emphasis on variable message sign (VMS) design, driver behavior analysis, and automation technology acceptance in elderly drivers. He has conducted studies on dynamic message sign efficacy, traffic flow management, and roadway safety improvement strategies. Education: Ph.D. and M.S. in Industrial Engineering from the University of Iowa (1989 and 1986), and B.S. in Industrial Engineering from Tunghai University, Taiwan (1980). Recent grants include a 2020 National Institute for Undersea Vehicle Technology grant (Co-PI) on stress monitoring via wearable devices, and a 2017 Rhode Island Department of Transportation grant (PI) assessing sidewalk quality compliance. His work bridges engineering principles with human factors to enhance traffic safety and transportation efficiency. Key research contributions include optimizing VMS message design for clarity, analyzing driver responses to automation levels, and addressing tailgating issues through behavioral interventions. He has advised multiple graduate students and collaborated on interdisciplinary projects involving traffic data analysis and manufacturing process optimization.

• Institutions And Policy Processes
• Intelligent Transportation Systems Policy And Institutions
• Internet Governance Institutions And Policy
• +۵ مورد دیگر

Hans Klein is an Associate Professor and Director of Undergraduate Studies at the Jimmy and Rosalynn Carter School of Public Policy, part of the Ivan Allen College of Liberal Arts at Georgia Institute of Technology. His research focuses on institutions and policy processes related to large technical systems like the Internet and surface transportation. He has held visiting roles at Princeton University, the Hertie School of Governance, and the Paris School of Mines. Education: Ph.D. in Political Science, MIT (1996) M.S. in Technology and Policy, MIT (1993) B.S. in Electrical Engineering & Computer Science, Princeton University (1983) Research Interests: Internet governance, globalization, and democratic accountability mechanisms Media institutions, digital persuasion, and propaganda Intelligent transportation systems (ITS) policy and institutional design Urban transit policy, including the Atlanta Beltline project Social construction of technology and policy frameworks Professional Experience: Prior roles as software developer, international marketer, and policy analyst Service on advisory committees for ICANN, the Transportation Research Board, and Atlanta’s Telecommunications Policy Advisory Committee Presentations on information warfare and political warfare at institutions like the US Special Operations University Advising & Grants: Contributed to policy design for ICANN, ITS national programs, and the Atlanta Beltline Recipient of DAAD and Chateaubriand fellowships for international academic collaborations Labs & Teams: Active in interdisciplinary policy teams focused on transportation infrastructure, digital governance, and media ethics.

Manolis G.H. Katevenisمشاهده پروفایل

استاد

• Computer Architecture
• VLSI Systems
• Interconnection Network Architecture
• +۴ مورد دیگر

Manolis G.H. Katevenis is a Professor at the Department of Computer Science, University of Crete, and Deputy Director and Head of the Computer Architecture and VLSI Systems (CARV) Laboratory at the Institute of Computer Science (ICS), Foundation for Research & Technology - Hellas (FORTH). He co-founded the European Research Center on Computer Architecture (EuReCCA) and is a founding partner of the European Network of Excellence on High-Performance and Embedded Architecture and Compilation (HiPEAC). PhD in Computer Science from University of California, Berkeley (1983) Co-founder of EuReCCA (2011) Contributed to RISC architecture (1980-1983), interconnection networks (1985-2011), and parallel computing (1993-2010) His research spans Scalable Multicore Systems , Interconnection Network Architecture , Packet Switch Design , Computer Architecture , and VLSI Systems . He has made foundational contributions to per-flow queueing, backpressure mechanisms, and wormhole IP over ATM, with applications in internet routers, data centers, and supercomputers. His publications focus on high-radix crossbar switches, flow control algorithms, and explicit interprocessor communication. Notable scientific awards include: ACM Doctoral Dissertation Award (1984) David J. Sakrison Memorial Prize (1983) IBM PhD Fellowship (1981-1983) Greek State Fellowship (1973-1978) He has supervised 40 graduate theses and participated in 22 R&D projects totaling €9M, including HiPEAC (coordinator of interconnection networks), SARC (FPGA prototype design), and ENCORE (cache-optimized remote DMA). His work has received over 2000 citations, with an h-index of 23.

Matti Tedreمشاهده پروفایل

استاد

• Computer Science Education
• ICT4D
• Social Studies of Computer Science
• +۵ مورد دیگر

Matti Tedre is a Professor at the School of Computing, Faculty of Science, Forestry and Technology, University of Eastern Finland. His research focuses on computer science education, ICT4D, social studies of computer science, and the history and philosophy of computer science. He leads the Technologies for Learning and Development research group and is involved in the Generation AI project (2022–2028), exploring AI education for security mindset development. His work bridges theory and practice, emphasizing educational technology, AI literacy, and participatory design. Recent projects include developing low-cost AI kits for novice learners and co-designing ML-driven apps with children. He collaborates globally on topics like K-12 computing education, data agency, and ethical AI integration in classrooms. Key contributions include studies on scaffolding in ML education, children’s understanding of algorithmic biases, and the role of generative AI in creative learning. His research also addresses challenges in Tanzanian ICT adoption, including financial management systems for informal groups and timetabling software for higher education institutions. Tedre’s interdisciplinary approach spans computer science, education, and sociology, with a focus on democratizing AI access and fostering critical digital literacy among youth and educators.

Mario Teislمشاهده پروفایل

استاد

• Consumer Behavior
• Environmental Economics
• Food Safety
• +۷ مورد دیگر

Mario Teisl serves as Professor of Resource Economics and Policy and Director at the University of Maine, affiliated with the School of Economics within the College of Natural Sciences, Forestry and Agriculture. His work bridges academic research and community engagement through institutions like the Maine Agricultural and Forest Experiment Station and Mitchell Center for Sustainability Solutions. His educational background includes a Ph.D. in Agricultural and Resource Economics from the University of Maryland and an M.S. in Resource Economics and Policy from the University of Maine. Teisl’s research centers on consumer behavior in environmental and food systems , with pioneering work in eco-labeling effectiveness, food safety valuation, and sustainability policy. His expertise spans Environmental Economics , Resource Economics , and One Health frameworks, emphasizing practical applications for policymakers and communities. Recent projects analyze aquaculture’s role in community resilience and public reactions to renewable energy information. His publication trends reveal consistent focus on interdisciplinary sustainability science , merging economics with ecology and social behavior. Key themes include marine resource management, behavioral responses to environmental labeling, and valuation of ecosystem services, reflecting his commitment to transdisciplinary solutions for food-energy-water challenges. Graduate Dean’s Recognition Award for Extraordinary Service to Graduate Studies (2012) Outstanding Researcher Award from CNSFA (2002) CDC Prevention Effectiveness Program award (2006) Research.com Top Researcher at UMaine (2022) Fulbright Scholar Award (2005-06) Invited Researcher at French National Institute for Agricultural Research (2009) Teisl dedicates 40% of his time to externally funded research, including current Hatch project ME021923 on food and renewable energy information. He serves as a journal reviewer and editorial board member for agencies like the U.S. EPA, while his administrative leadership includes past roles as Interim Dean of CNSFA (2020-21) and Faculty Senate member (2004-07). He collaborates extensively through the Initiative for One Health and the Environment, Lobster Institute, and School of Policy and International Affairs, driving transdisciplinary partnerships that connect academic research with community sustainability challenges in Maine and beyond.

Christoph Hertrichمشاهده پروفایل

استادیار

• Discrete Mathematics
• Theoretical Computer Science
• Machine Learning
• +۳ مورد دیگر

Christoph Hertrich is a tenure-track professor for Applied Discrete Mathematics at University of Technology Nuremberg, where he conducts research at the intersection of discrete mathematics, theoretical computer science, and machine learning. His work particularly focuses on applying polyhedral geometry and combinatorial optimization techniques to neural network theory, with significant contributions to understanding the computational complexity and expressivity of neural networks. Hertrich received his BSc and MSc degrees from TU Kaiserslautern (2013-2018) working with Sven O. Krumke, followed by his PhD at TU Berlin (2018-2022) under the supervision of Martin Skutella. His doctoral thesis, titled "Facets of Neural Network Complexity," laid foundational work for his current research direction. Prior to joining UTN, he held postdoctoral positions at Université libre de Bruxelles (2023-2024) with a Marie Skłodowska-Curie fellowship under Samuel Fiorini, and at LSE London (2022-2023) with László Végh. He also served as a substitute professor for discrete mathematics at Goethe-Universität Frankfurt during the winter semester of 2023/24. Hertrich's research interests center on the mathematical foundations of neural networks, with particular emphasis on polyhedral geometry approaches. His work explores computational complexity questions related to neural network training and architecture, expressivity bounds, and connections to combinatorial optimization problems. He has made significant contributions to understanding the relationship between neural network depth and function representation, the complexity of counting linear regions in ReLU networks, and the application of extended formulations to neural network theory. His approach combines rigorous theoretical analysis with practical implications for neural network design and optimization. His recent publication record reveals a strong trend toward establishing fundamental theoretical limits and connections between deep learning and discrete mathematics. A significant portion of his work examines computational complexity of various neural network problems, often proving hardness results or establishing bounds on expressivity. He has also developed novel connections between polyhedral combinatorics and neural network architecture, demonstrating how techniques from operations research can inform deep learning theory. Marie Skłodowska-Curie fellowship Since February 2025, Hertrich has been supervising PhD student Moritz Stargalla at UTN. His research has been supported by prestigious fellowships including a Marie Skłodowska-Curie fellowship during his postdoctoral period in Brussels. He is organizing a workshop on "Polyhedral Geometry for Neural Networks" in March 2026 in Nuremberg, highlighting his leadership in this emerging interdisciplinary field.

Yihan Sunمشاهده پروفایل

استادیار

• Parallel Computing
• Algorithms
• Data Structures
• +۱۲ مورد دیگر

Yihan Sun is an Assistant Professor at the University of California, Riverside (UCR) since January 2020. He earned his Ph.D. in Computer Science from Carnegie Mellon University (CMU) , advised by Guy Blelloch , and holds a Bachelor's degree in Computer Science from Tsinghua University . Research Interests: Yihan Sun focuses on the theory and practice of parallel computing , including Parallel algorithms and data structures Write-efficient algorithms for Non-Volatile Memory (NVM) Computational geometry (range trees, Delaunay triangulations) Graph algorithms (SSSP, SCC, cluster-based BFS) Concurrent and persistent data structures Multi-version concurrency control (MVCC) with garbage collection Applications in databases, transactional systems, and computational biology Recent Research Trends: His work on join-based parallel balanced trees has been foundational, supporting four balancing schemes (AVL, red-black, weight-balanced, treaps) and enabling efficient implementations in graph analytics, spatial queries, and dynamic programming. Recent publications focus on output-sensitive algorithms , scalable graph libraries (PASGAL) , and pedagogical approaches to teaching parallel algorithms. Teaching: He teaches CS260 (Parallel Algorithms) at UCR and has served as a guest lecturer for MIT 6.886 (Algorithm Engineering) and CMU 15-859 (Algorithms in the real world) . He also contributed to algorithm education through a tutorial at the ACM Symposium on Principles and Practice of Parallel Programming (PPoPP 2019) . Labs & Collaborations: Yihan is a core contributor to the PAM (Parallel Augmented Maps) library, which has been integrated into systems like Aspen (graph-streaming) and C-trees . He collaborates with teams at CMU-Parlay , PBBS , and Ligra , with his code available on Github for community feedback.

Leah Macfadyenمشاهده پروفایل

عضو هیئت علمی

• Critical Intercultural Studies
• Digital Literacies
• Digital Research Methods
• +۶ مورد دیگر

Leah Macfadyen is an Associate Professor of Teaching in the Department of Language & Literacy Education at the University of British Columbia (UBC), Faculty of Education. She serves as Coordinator for Curriculum & Instruction in the Master of Educational Technology (MET) program. With interdisciplinary training in experimental sciences and humanities, she bridges analytical rigor with cultural theory in her research on digital education and learning analytics. Her research spans learning analytics , digital literacies , and critical intercultural communication . Key projects include developing UBC’s Introduction to Global Citizenship online course (2005) and co-authoring MET program courses like ETEC 542. She explores ethical dimensions of ‘big data’ in education and data literacy challenges. Recent publications (2020–2023) focus on institutional learning analytics frameworks, curriculum NLP analysis, and ethical codes for practitioners. Collaborative work with Shane Dawson and others has been published in journals like Journal of Learning Analytics , Computers & Education , and Journal of Genetic Counselling . Key Themes : Intercultural communication in digital spaces, systems thinking for educational analytics, ethical implications of data-driven learning Courses Developed : ETEC 500, 520, 542, 543, 581, and 590

Elizabeth A. Edwardsمشاهده پروفایل

استاد

• Bioremediation
• Environmental Biotechnology
• Anaerobic Microbial Processes
• +۳ مورد دیگر

Elizabeth A. Edwards is a University Professor at the University of Toronto in the Department of Chemical Engineering and Applied Chemistry , with cross-appointments to the Department of Cell & Systems Biology . As Director of BioZone and Canada Research Chair in Anaerobic Biotechnology, she leads groundbreaking research in microbial bioremediation of groundwater pollutants and industrial wastewater treatment through anaerobic digestion. Ph.D. in Environmental Engineering (Stanford, 1993) M.Eng. and B.Eng. in Chemical Engineering (McGill, 1985/1983) Licensed Professional Engineer (P.Eng.) Her research focuses on anaerobic microbial communities that degrade pollutants like chlorinated solvents and aromatic hydrocarbons. Using advanced molecular biology, genomics, proteomics , and biochemical pathway analysis , her lab investigates functional interactions in microbial consortia and translates discoveries to commercial applications such as the KB-1® bioproduct . Recent studies examine enzyme activity, lignocellulose degradation, and granulation dynamics in anaerobic reactors. Scientific Recognition: 2020 Killam Prize in Engineering 2016 Canada Research Chair (Tier 1) 2014 Royal Society of Canada Fellow 2011 Canadian Academy of Engineering Fellow 2011 AAAS Fellow 2008-2010 Killam Research Fellowship She supervises extensive graduate student projects spanning enzyme discovery, bioremediation optimization, and microbial consortium analysis. Her lab collaborates with GeoSyntec Consultants and SiREM Labs for field implementation of bioremediation strategies.

• Protein Foods
• Human Nutrition
• Cardiometabolic Health
• +۳ مورد دیگر

Sergio Burgos, PhD is an Associate Professor in the Department of Animal Science at McGill University's Faculty of Agricultural and Environmental Sciences, and a Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC). He leads an interdisciplinary research program integrating animal nutrition, human health, and environmental sustainability. Pan-American School of Agriculture, Zamorano, Honduras (Agrónomo) University of Florida (BSc Animal Science) University of California, Davis (MSc Animal Science) University of Guelph (PhD Animal Science, 2009) Research Focus examines protein foods' roles in: Human Nutrition & Cardiometabolic Health Dairy Production Systems & Rumen Microbiome Milk Metabolomics & Bioactive Compounds Climate Impact Reduction through Dietary Transitions Publication Trends demonstrate: 2024-2025: Prioritization of plant-animal protein substitutions for climate & health 2020-2023: Mechanistic studies on amino acid regulation of mammary cell function 2016-2020: Foundational work on insulin resistance and dairy nutrition Awards Richard and Edith Strauss Postdoctoral Fellowship (2010-12) Professional Affiliations Regroupement OptiLAIT (2015-present) American Society for Nutrition (2015-present) Canadian Diabetes Association (2012-present) Teaches core courses in animal nutrition, protein metabolism, and computational ration balancing.

Vincent Rocaمشاهده پروفایل

پژوهشگر

• Privacy
• Robust Content Distribution
• Transport Protocols
• +۶ مورد دیگر

Vincent Roca is a permanent researcher at Inria , a French national research institute for digital science and technology. Since 2019, he leads the Privatics research team focusing on privacy, previously part of the Planete team (2000-2012) for Internet protocols and applications. His work spans Privacy in smartphones, IoT, and web browsers Design of the ROBERT and CLEA protocols for the French TousAntiCovid app Standardization in IETF working groups, notably on FEC and network coding Co-author of Inria's cybersecurity white book (2019) Instructor of the popular Privacy in the digital world MOOC (14,006 participants) Research Interests include privacy risks in digital technologies, robust content distribution via FLUTE/ALC transport protocols and LDPC-Staircase FEC codes, and network coding for scalable services. His articles focus on privacy in LoRaWAN, contact tracing protocols, GDPR compliance, and FEC optimization. Scientific Awards include the Third Applied Research Price from FIEEC (2014) Knight Medal of the French Order of Merit (2020) Students supervised include PhD candidates in privacy-preserving IoT, secure authentication, and alumni like Samuel Pelissier (LoRaWAN privacy) and Michael Toth (GDPR compliance). Software Contributions include openfec.org (AL-FEC codes) and FLUTE/ALC implementations .

Andrew Godwinمشاهده پروفایل

استاد

• Molecular Oncology
• Precision Medicine
• Biomarker Discovery
• +۳ مورد دیگر

Andrew Godwin is a Professor at the University of Kansas Medical Center , where he serves as the Chancellor’s Distinguished Chair in Biomedical Sciences and Director of Molecular Oncology in the Department of Pathology and Laboratory Medicine. He is also the Deputy Director of the NCI-designated University of Kansas Cancer Center and the Founding Director of the Kansas Institute for Precision Medicine and Biospecimen Shared Resource . Dr. Godwin is a leader in translational research and precision medicine , with a focus on molecular oncology , biomarker discovery , and genomic diagnostics . His work bridges basic and clinical science to improve cancer patient care, particularly in ovarian cancer , Ewing sarcoma , and breast cancer . He has contributed over 230 ovarian cancer-related publications and pioneered studies linking the PI3K/AKT pathway to cancer treatment targets. His research program encompasses liquid biopsies using extracellular vesicles , molecular therapeutics , companion diagnostics , and clinical trial validation . He leads the Biomarker Discovery Laboratory and has secured over $250M in extramural funding , including a $11.4M NIH grant for precision medicine initiatives. His team has developed CELLSEARCH® , the first FDA-cleared test for circulating tumor cells. Notable awards include the Dolph C. Simons, Sr. Higuchi Award (2020), Outstanding Mentorship in Pathology Award (2024), and multiple mentoring accolades from KU. He has mentored over 150 trainees across career stages and leads a multidisciplinary lab with expertise in genomics , proteomics , and bioengineering . Academic Roles: Chancellor’s Distinguished Chair in Biomedical Sciences Director, Molecular Oncology, Pathology and Laboratory Medicine Deputy Director, KU Cancer Center Founding Director, Kansas Institute for Precision Medicine Adjunct Professor, Bioengineering Program, University of Kansas Scientific Awards: KUMC Achievement Award for mentoring postdocs (2014) Chancellor’s Club Award for Research (2018) Dolph C. Simons, Sr. Higuchi Award (2020) KU Excellence in Mentoring Award (2021) Outstanding Mentorship in Pathology (2024) Key Research Themes: Extracellular vesicles as liquid biopsy tools Molecular mechanisms of sarcoma and breast cancer Genomic diagnostics and precision oncology Clinical trial biomarker validation Biospecimen repository leadership

• Mechanical Engineering
• Tribology
• Systems Engineering
• +۳ مورد دیگر

Hannes Hick is a Professor at Graz University of Technology , affiliated with the Institute of Machine Elements and Development Methodology . His research focuses on mechanical development, tribology, and systems engineering for automotive and industrial applications. He actively contributes to engineering education and methodology standardization. Research Interests Hydrogen internal combustion engines System modeling and digital twins Tribology in electric drivetrains Sustainable engineering practices MBSE (Model-Based Systems Engineering) Friction and wear analysis Article Trends His recent work emphasizes hydrogen propulsion systems, model-based approaches for interdisciplinary engineering challenges, tribological optimization for sustainable mobility, and integrating AI with mechanical design workflows. Labs and Teams He leads research at the Institute of Machine Elements, focusing on mechanical validation and development methodologies for advanced powertrain systems.

• Power Electronics
• Power Converter Systems
• Motor Drive Systems
• +۲ مورد دیگر

Mahima Gupta is an Assistant Professor in the Department of Electrical & Computer Engineering at the University of Wisconsin-Madison. Her research focuses on power electronics, motor drives, and power converter systems with applications in renewable energy integration and grid infrastructure. Her educational background includes: PhD in Electrical Engineering, University of Wisconsin-Madison (2019) MS in Electrical Engineering, University of Wisconsin-Madison (2015) BE in Electrical Engineering, Birla Institute of Technology & Science, Pilani (2011) Dr. Gupta's research spans multiple areas of power electronics with particular emphasis on Power Electronics Conversion & Control , Modular Multi-level Power Converters , and Motor Drive Systems . Her work addresses critical challenges in the application of Wide Band-gap Semiconductor Devices and mitigating Electromagnetic Interference Issues in modern power electronic circuits. Her research has significant implications for renewable energy integration, electric transportation, and next-generation power grid infrastructure, with a strong focus on efficiency, reliability, and power density optimization. Her recent publications demonstrate a cohesive research trajectory focused on high-performance power conversion systems, with particular attention to modular architectures, fault tolerance mechanisms, and innovative topologies that minimize energy storage requirements while maintaining high performance. Her work spans from fundamental converter designs to application-specific implementations for motor drives, wireless power transfer, and grid integration, showing increasing sophistication and real-world relevance. Dr. Gupta has received several prestigious awards including: Gerald Holdridge Teaching Excellence Award from University of Wisconsin-Madison (2018) Austrian Marshall Plan Scholar for Visiting Scholar position at Technische Universit¨at Graz, Austria (2016) Edward R. Felber Power Fellow from University of Wisconsin-Madison (2016) As a dedicated educator, Dr. Gupta advises graduate students through courses including ECE 699 (Advanced Independent Study), ECE 790 (Master's Research), and ECE 890 (Pre-Dissertator's Research). Her teaching portfolio also includes specialized courses like ECE 512 (Power Electronics Laboratory), demonstrating her commitment to both theoretical and practical aspects of power electronics education. Her research program has attracted significant scholarly attention, as evidenced by her productive publication record in top-tier power electronics conferences and journals.