جست‌وجوی استاد و پژوهشگر

Feng Haoمشاهده پروفایل

استاد

• Cryptography
• Cybersecurity
• Electronic Voting Systems
• +۳ مورد دیگر

Feng Hao is a Professor of Security Engineering and Head of the Systems & Security research theme at the Department of Computer Science, University of Warwick. He holds a PhD from the University of Cambridge, supervised by Ross Anderson and John Daugman. His research focuses on real-world security problems, including cryptographic protocols, electronic voting systems, and IoT security. He has contributed to standards like ISO/IEC 11770-4 and RFC 8236 (J-PAKE), and his work has been recognized with grants such as the ERC Starting Grant (2012) and the ERC Proof of Concept Grant (2015). Education: PhD in Security Group (Computer Laboratory), University of Cambridge. Research interests include designing secure protocols for e-voting, password authentication, and privacy-preserving systems. Notable contributions include DRE-i, DRE-ip, and J-PAKE protocols. Professional service includes roles as a journal editor (IEEE Security & Privacy, Journal of Information Security and Applications), standards committee member (ISO/IEC), and grant reviewer (EPSRC, EU). Teaching includes advanced computer security and cryptography courses at both undergraduate and postgraduate levels. Awards and grants highlight his impactful work: top Google Scholar paper in Computer Security & Cryptography (2017), 3rd place in Economist Cybersecurity Challenge (2016), and significant ERC funding. His research team has conducted trials in e-voting systems, such as the Gateshead local elections (2019), demonstrating real-world application of his protocols.

Panagiotis Dimitrakopoulosمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Multiphase Flows
• Mesoscale Polymer Dynamics
• +۳ مورد دیگر

Panagiotis (Panos) Dimitrakopoulos is an Associate Professor in the Department of Chemical & Biomolecular Engineering at the University of Maryland, College Park. His research focuses on computational fluid dynamics, multiphase flows, and biophysical systems. He specializes in modeling elastic capsules, microfluidic devices, and polymer dynamics using advanced numerical algorithms. His work intersects fluid mechanics, biomedical engineering, and materials science. He has developed spectral boundary element methods for interfacial dynamics and contributed to understanding capsule deformation in microfluidic environments. His studies address drug delivery systems, microfluidic sorting mechanisms, and hemodynamic forces in biological systems. Key applications include designing next-generation drug carriers and analyzing blood cell mechanics in microcirculation. Notable contributions include analyzing elastic capsule migration in converging micro-capillaries, multi-compartment micro-capsule fabrication, and non-Newtonian fluid dynamics in confined geometries. His research spans from theoretical fluid mechanics to biomedical applications, emphasizing computational modeling and experimental validation.

Jennifer J. Blackhurstمشاهده پروفایل

استاد مدعو

• Supply Chain Risk Management
• Supply Chain Disruption Management
• Supplier Assessment and Selection
• +۶ مورد دیگر

Jennifer J. Blackhurst is an Adjunct Professor in the Department of Business Analytics at the Tippie College of Business, University of Iowa. She has held several key academic and administrative roles, including Professor in Business Analytics (2021–2025), Associate Dean for Graduate Professional Programs (2020–2025), and the Leonard A. Hadley Chair/Professor in Business Analytics (2019–2024). Her career reflects deep engagement in supply chain research, academic leadership, and editorial contributions to top journals. Her research focuses on supply chain risk and disruption management, supplier assessment and selection, supply chain coordination, and innovation. She explores how organizations can build resilience through strategic adaptation, network design, and behavioral competencies. Her work integrates complex systems theory, empirical analysis, and data-driven modeling to address real-world supply chain challenges. The recent publications highlight a strong trend in understanding supply chain resilience through network science, agent-based modeling, and systemic risk frameworks. Her research spans both technical and human dimensions, examining not only structural vulnerabilities but also organizational behaviors and knowledge-based competencies that influence risk mitigation. Key themes include disruption propagation, robustness measurement, and the dual role of innovation in both enhancing performance and potentially increasing vulnerability. Scientific Awards and Honors: Best Paper Award - Transportation Journal and APICS, 2018 Outstanding Associate Editor - Decision Sciences Journal, 2017 MBA Business Analytics Professor of the Year - Tippie College of Business, 2017 Outstanding Associate Editor - Decision Sciences Journal, 2013 Emerging Leaders Academy - Iowa State University, 2013 - 2014 Citations of Excellence Award - Emerald Management Reviews, 2011 Jennifer Blackhurst has played a significant role in academic service through editorial and review activities, serving as Senior Editor for the Journal of Business Logistics and on the editorial boards of several leading journals including IEEE Transactions on Engineering Management , Decision Sciences Journal , and Journal of Operations Management . While no formal advising or grant information is listed, her leadership roles and extensive publication record suggest active mentorship and research supervision. She is a member of the Council for Supply Chain Management Professionals and the Decision Sciences Institute, further demonstrating her national engagement in the field.

Liang Dongمشاهده پروفایل

دانشیار

• Signal Processing
• Wireless Communications
• Cyber-Physical Systems
• +۱۲ مورد دیگر

Dr. Liang (Leon) Dong is an Associate Professor in the Department of Electrical and Computer Engineering at Baylor University, where he conducts research and teaches in the areas of signal processing, wireless communications, and artificial intelligence. He leads the Laboratory of Signal Processing, Communications, and Artificial Intelligence, fostering innovation in next-generation communication systems, IoT, and AI-driven applications. PhD, Electrical & Computer Engineering, The University of Texas at Austin (2002) MS, Electrical & Computer Engineering, The University of Texas at Austin (1998) BS, Applied Physics with Minor in Computer Engineering, Shanghai Jiao Tong University (1996) Dr. Dong's research focuses on advancing digital signal processing and wireless communications, with strong emphasis on artificial intelligence applications. His work spans NextG wireless systems , IoT and smart cities , cyber-physical system security , and AI in healthcare and industrial automation . He applies deep learning to domains such as autonomous driving and drug discovery, and investigates energy-efficient, secure, and reliable communication protocols. The recent publications highlight a strong trend toward integrating AI into traditional signal processing and communications. Topics include mRNA vaccine stability prediction , smart city infrastructures , secure cyber-physical systems , and deep learning for biomedical and industrial applications . His work bridges theoretical innovation with real-world impact in defense, transportation, and public health. Dr. Dong has earned recognition as a Senior Member of IEEE and a Member of the American Physical Society. He has also served as Faculty Advisor for Baylor University's InterVarsity chapter. Senior Member, Institute of Electrical and Electronics Engineers (IEEE) Member, American Physical Society (APS) He has successfully advised numerous graduate and undergraduate students, many of whom now hold academic and industry positions at institutions like Stanford, Intel, NASA, L3Harris, and Cummins. His research is generously supported by Baylor's VP for Research, the National Science Foundation, NASA, the Department of Defense (TARDEC), the Michigan Department of Transportation, and industry leaders including Intel, L3Harris, ExxonMobil, and Denso. He actively mentors students through research assistantships and senior design projects. Dr. Dong leads the Laboratory of Signal Processing, Communications, and Artificial Intelligence, which provides a collaborative environment for advancing research in signal processing, communications, and AI. The lab supports graduate and post-doctoral researchers and offers opportunities for undergraduate involvement in AI programming, circuit design, and embedded systems.

• Molecular genetics
• Behavioral genetics
• Learning and memory
• +۳ مورد دیگر

Christopher Jones is a Professor of Biology at Moravian University. He has been affiliated with the institution since 1999, where he teaches courses in molecular biology and genomics. Jones is actively involved in the Genome Consortium for Active Teaching (GCAT) and the Genomics Education Partnership (GEP), integrating advanced genomic research into undergraduate education through initiatives like DNA microarray analysis and collaborative annotation of Drosophila genomic data. B.A. in Biology and Russian, Haverford College M.Phil. in Molecular Biophysics & Biochemistry, Yale University Ph.D. in Molecular Biophysics & Biochemistry, Yale University His research focuses on molecular genetics , particularly the genetic basis of learning and memory in Drosophila melanogaster . Earlier work explored bacterial flagellar assembly, including studies on Salmonella typhimurium as a postdoctoral fellow at Cold Spring Harbor Laboratory. Jones' work spans neurological research (Alzheimer's disease via presenilin gene analysis), genomics pedagogy, and evolutionary biology. Key article trends include genomics education (2014-2020), Drosophila memory mechanisms (1997-2007), and foundational bacterial motility studies (1985-1992). His work with GEP and GCAT demonstrates commitment to course-based undergraduate research experiences (CUREs). Scientific Awards : NIH Postdoctoral Fellow Henry Wendt Neuroscience Fellow Jones mentors students through research collaborations, with Moravian undergraduates appearing as co-authors on publications. He contributes to genomics education through curriculum development and national partnerships. His laboratory work historically focused on bacterial flagellar complexes and Drosophila neurogenetics.

Manuel Salinasمشاهده پروفایل

دانشیار

• Biomechanics
• Thermal and fluid systems
• Engineering education
• +۳ مورد دیگر

Manuel Salinas, Ph.D., is an Associate Professor in the Department of Engineering at Nova Southeastern University's College of Computing and Engineering. He teaches core and biomedical engineering courses while mentoring students in honors theses and independent research. Postdoctorate, Harvard Medical School (2015) Ph.D. and B.S., Florida International University His research focuses on biomechanics and thermal/fluid systems, particularly how hemodynamic forces influence vascular inflammation, tissue engineering, and disease mechanisms. He develops bioreactor models for atherosclerosis and vasculitis studies, exploring oscillatory shear stress effects on stem cell differentiation and valvulogenesis. Recent work includes computational and experimental studies on vascular erosion, aortic valve tissue engineering, and mechanical stress in periodontitis-related osteoclast differentiation. Key collaborators include researchers from Harvard Medical School and Florida International University. Scientific Awards: Outstanding PhD Graduate Award (CEC, 2015) FIU Academy of Leaders Induction (2014) NIH Fellowship (2010) Alpha Eta Mu Beta Induction (2009) Salinas serves as a research mentor and NSU CEC representative for ASEE. He has led 28 courses in biomedical engineering, biomechanics, and physiological systems modeling. Current projects include Oticon-funded reverse engineering education initiatives.

Stephen J. McDonnellمشاهده پروفایل

دانشیار

• Electronic Material Integration
• Nanoelectronics
• 2D Materials
• +۵ مورد دیگر

Stephen J. McDonnell is an Associate Professor at the University of Virginia's School of Engineering and Applied Science, Department of Materials Science and Engineering. His research focuses on interfaces in nanoelectronics, 2D materials integration, surface science, and energy conversion. He leads the McDonnell Group, which investigates materials synthesis in-vacuo, electronic structure via photoelectron spectroscopy, and anti-viral properties of copper alloys. Education: B.S. in Applied Physics (Dublin City University, 2004), Ph.D. in Physical Sciences (Dublin City University, 2009) Teaching: Courses include 'Materials for Electronic/Magnetic/Optical Applications' and 'Introduction to Materials Science.' Key research interests include nanoelectronics, 2D materials (e.g., WSe₂, MoS₂), ferroelectric HfO₂/ZrO₂ interfaces, and anti-viral copper-based alloys. His group correlates synthesis conditions with device properties like contact resistance and thermal boundary conductance. Publications span 2D material growth, interface engineering, and catalytic materials. Collaborations emphasize device-relevant properties and real-world applications in energy and healthcare.

Laurence Brooksمشاهده پروفایل

استاد

• Ethics of emerging technologies
• ICT for Development (ICT4D)
• Social Theory
• +۱۰ مورد دیگر

Laurence Brooks is Professor of Information Systems at the Information School (iSchool), University of Sheffield, and Visiting Professor of Technology and Social Responsibility at De Montfort University’s Centre for Computing and Social Responsibility (CCSR). He has held significant academic leadership roles, including Director of the Doctoral College at DMU and Programme Coordinator at the iSchool. His work bridges technology and societal impact, with a focus on ethics, governance, and development. Education: PhD in Information Systems, University of Liverpool, UK BSc (Hons) in Psychology, University of Bristol, UK His research interests center on the ethical and societal implications of emerging technologies, especially in public sectors. He employs social theories such as Structuration Theory, Actor Network Theory, and Sociomateriality to investigate how ICT shapes and is shaped by individuals, groups, and institutions. Key domains include eGovernment, ICT4D, healthcare informatics, and digital policy. His methodological approach is predominantly qualitative, emphasizing interpretive and ethnographic methods. The recent publications reflect a sustained engagement with big data governance, digital public services in developing countries, and ethical AI. Trends show a focus on institutional arrangements, user trust, and socio-technical design in complex environments. His work often involves cross-cultural and international case studies, particularly in Nigeria, Bangladesh, and Zambia. Scientific Awards and Recognition: Brunel University London Star Award (2012) Shortlisted for Brunel Innovative Teaching Award (2012) Volunteer Spotlight Award, AIS (2008) ICIS Best Paper Nomination (2005) ECIS Best Paper Award (2000) Laurence Brooks has supervised several PhD students, including Ruairi Blake, Daniel Malok, Abigail Udoma, Tonii Leach, and Vincent Bryce. He has secured major research grants, including the €4 million EU Horizon 2020 TechEthos project and the €2.9 million SHERPA project, both focused on ethical dimensions of smart information systems. He is also a local PI for the EPSRC Horizon CDT on digital identity and data creativity. He is actively involved in research communities, having served as Past President of UKAIS, UKSS, and AIS SIG on Philosophy of IS. He contributes as an editorial board member for journals like Journal of the AIS and Information Technology and People , and has led numerous conference tracks and panels. He also co-chairs the ICT4D North of England group.

• Supply Chain Management
• Operations Management
• Behavioral Operations
• +۳ مورد دیگر

Ye Qing is a Tenured Associate Professor in the Department of Management Science and Engineering at the School of Economics and Management, Tsinghua University. She has been serving in this position since 2013, after previously working as an Assistant Professor at the same institution from 2007 to 2013. Dr. Ye received her PhD in Industrial and Operations Engineering from the University of Michigan in 2006. Prior to that, she earned a Master of Systems Engineering (2001) and a Bachelor of Automation (1998), both from Tsinghua University. Dr. Ye's research focuses primarily on Supply Chain Management, with special emphasis on behavioral aspects of operations. Her work spans several key areas including Capacity and Inventory Management, Operation Management under Asymmetric Information, and Behavioral Operations Management. She has made significant contributions to understanding how psychological factors influence decision-making in supply chain contexts, particularly in gig economy settings and incentive contract design. Analysis of Dr. Ye's publication record reveals a strong focus on the intersection of operations management and behavioral economics. Her recent work has increasingly examined the gig economy and platform-based work arrangements, while maintaining her foundational research in traditional supply chain dynamics. A notable trend is her methodological approach, which often combines rigorous theoretical modeling with experimental validation. Dr. Ye has taught several key courses at Tsinghua University including Dynamic Programming, Operations Management, Supply Chain Management, and Data, Models, and Decisions, contributing significantly to the education of future business leaders and researchers.

• Finance
• Banking
• Economic Policy
• +۲ مورد دیگر

Adnan Güzel is an Associate Professor at Turkish Aerospace University's Faculty of Business , Department of Business Administration. His research focuses on banking profitability , financial performance analysis , derivative financial instruments , and crisis management in hospitality . Key affiliations: Turkish Aerospace University (Faculty of Business, Department of Business Administration) Primary research areas: Finance, Banking, Economic Policy, Risk Management His empirical work spans three major domains: Banking Sector Analysis : 10+ publications on net interest margins, capital structure, profitability determinants, and sensitivity to macroeconomic shocks (2018-2023) Derivatives Application : Structured deposit optimization using options/swaps for risk-averse investors (2018) Hospitality Crisis Management : Post-pandemic strategies in Turkish hotels (2023) Methodological Expertise : Advanced panel data econometrics Nonlinear unit root testing Capital adequacy modeling Stochastic convergence analysis

Hamed Nematiمشاهده پروفایل

استادیار

• Security of systems software
• Formal methods and program logics
• Interactive theorem proving
• +۲ مورد دیگر

Hamed Nemati is an Assistant Professor at the Division of Network and Systems Engineering under the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology in Stockholm, Sweden. He was previously a Visiting Assistant Professor at Stanford University and a Research Group Leader at the Helmholtz Center for Information Security (CISPA) , where he also worked as a PostDoc and Research Fellow. Education : PhD in Computer Science from KTH Royal Institute of Technology Research Interests : Security of systems software, formal methods and program logics, interactive theorem proving, machine code analysis, applied machine learning Current Projects : Systematic verification of multi-language security protocols, hardware-software co-design for Spectre mitigation, capability-based access control models Scientific Awards : WASP (Wallenberg AI, Autonomous Systems and Software Program) faculty member Teaching Activities : Formal Methods in Security (Fall 2020-2023) at CISPA/Saarland University Digital Forensics and Incident Response (EP2780) (Fall 2024) at KTH

• Internal Combustion Engine
• Fuel cell
• Battery
• +۵ مورد دیگر

Professor Jin Kusaka is a distinguished faculty member at Waseda University's Faculty of Science and Engineering and Graduate School of Environment and Energy Engineering. With a Doctor of Engineering degree from Waseda University, he has established himself as a leading researcher in thermal engineering, particularly in the fields of internal combustion engines, fuel cells, batteries, and catalysts. His research interests span across several critical areas of modern energy systems: Internal Combustion Engine technologies for improved efficiency and reduced emissions Fuel cell development and optimization Battery thermal management systems for electric vehicles Catalyst design and performance enhancement for emission control Waste heat recovery systems using thermoelectric generators Alternative and synthetic fuels for decarbonization of transportation Professor Kusaka's extensive publication record (179 papers with 2,548 Google Scholar citations and an h-index of 23) demonstrates his significant contributions to the field. His recent research focuses on cutting-edge topics including battery thermal management under various driving conditions, thermoelectric waste heat recovery systems for natural gas engines, machine learning applications for engine control systems, and advanced combustion strategies for alternative fuels. His work bridges fundamental research with practical automotive applications, addressing critical challenges in energy efficiency and emission reduction. His notable scientific achievements have been recognized through several prestigious awards: JSAE Oral Presentation Award (October 2005) SAE SETC 2003 Paper Award (October 2003) JSAE Asahara Memorial Award (2001.05) Professor Kusaka is an active member of several professional societies including The Japan Society of Mechanical Engineering, Combustion Society of Japan, and The Society of Automotive Engineers, reflecting his commitment to advancing engineering knowledge and practice. His research group appears to be highly productive, with numerous publications featuring collaborations with researchers like Ratnak Sok, who frequently appears as first author on papers with Professor Kusaka as corresponding author.

Matteo Pezzullaمشاهده پروفایل

دانشیار

• Fluid-Structure Interactions
• Soft Hydraulics
• Elastic Instabilities
• +۳ مورد دیگر

Matteo Pezzulla is an Associate Professor at Aarhus University within the Department of Mechanical and Production Engineering Mechanics and Materials. His research focuses on fluid-structure interactions, soft hydraulics, and elastic instabilities, with applications in biomechanics and solid mechanics. Areas of expertise: Soft hydraulics, Fluid-structure interactions, Elastic instabilities, Biomechanics, Solid mechanics Teaching: Theory of Elasticity (BSc), Slender Structures (MSc) Memberships: American Physical Society (APS), Education Committee at AU Projects: The Architecture of Photosynthesis (2023–2026), Smart Fluidic Channels (2023–2025) His work bridges analytical, numerical, and experimental methods to study shell mechanics and biological systems. Publications highlight fluid-induced buckling, magneto-elastic materials, and biomimetic designs. Contact: matt@mpe.au.dk | +45 20 69 75 22

• Light Pollution
• Astrophysics
• Neutrino Physics
• +۵ مورد دیگر

Jason Chun Shing Pun is a Senior Lecturer in the Department of Physics at the University of Hong Kong, focusing on light pollution research and public science education. He has contributed to astrophysics, neutrino physics, and cosmic ray studies while leading environmental outreach initiatives. Education: B.A., B.S. (Rochester), M.A., Ph.D. (Harvard) Key Research Areas: Light pollution monitoring, supernova remnants, neutrino experiments, and X-ray sources in galaxies His work spans astrophysics and environmental science, with notable projects like the Daya Bay neutrino experiment and Aberdeen Tunnel cosmic ray research. He also initiated Hong Kong's night sky brightness monitoring network. Recent publications emphasize urban light pollution analysis via satellite data (VIIRS, Luojia-1), Earth Hour natural experiments, and multi-source methods. These studies highlight trends in artificial lighting, urban planning, and citizen science engagement. Scientific accolades include the 2022 Secretary of Home Affairs’ Commendation Scheme and the 2018 Dark Sky Defender Award. He has secured grants from the HKSAR Environment and Conservation Fund and HKU Teaching Development Grant. Dr. Pun actively engages in public education through workshops, competitions, and collaborations with international bodies like the International Astronomical Union. His projects, such as the GaN-MN YouTube channel and bilingual education booklets, demonstrate a commitment to global light pollution awareness.

Seyedsaeed Razavikiaمشاهده پروفایل

پژوهشگر

• Optimization
• Statistical Signal Processing
• Communication Systems
• +۳ مورد دیگر

Seyedsaeed Razavikia is a Ph.D. candidate at the KTH Royal Institute of Technology , affiliated with the School of Electrical Engineering and Computer Science and the Division of Network and Systems Engineering . His work is supervised by Carlo Fischione , with co-supervision by Mairton Barros , and funded by the WASP project . B.Sc. and M.Sc. in Electrical Engineering from Iran University of Science and Technology and Sharif University of Technology , respectively. Visiting researcher at Imperial College London with Deniz Gündüz in the Information Processing and Communications Lab . Research interests span machine learning over networks , optimization , statistical signal processing , and communication theory . His work focuses on over-the-air computation , federated learning , and low-rank matrix recovery . Publications highlight advancements in digital communication , networked machine learning , and signal processing , with applications in massive connectivity and blind demixing . Awards : IEEE Sweden VT-COM-IT Best Student Journal Paper Award 2024 IEEE Sweden VT-COM-IT Top-5 Student Conference Paper Award 2024 Hans Werthén Foundation Visiting Abroad Scholarship Wallenberg AI, Autonomous Systems and Software Program Ph.D. Admission Collaborations include institutions like Imperial College London and Ericsson Research , with contributions to patents on digital channel computation .