جست‌وجوی استاد و پژوهشگر

Jingyi Wangمشاهده پروفایل

استادیار

• Data Privacy
• Machine Learning
• Wireless Networks
• +۳ مورد دیگر

Jingyi Wang is an Assistant Professor in the Department of Computer Science at San Francisco State University. She serves as a Transfer Advisor and is affiliated with the university's research initiatives in data privacy and network optimization. Her work focuses on privacy-preserving techniques in distributed systems, wireless networks, and smart infrastructure. Her research interests include differential privacy applications in transportation networks, machine learning optimization, and secure spectrum trading mechanisms. Recent projects explore privacy in smart grids, information-centric networks, and IoT energy management. Dr. Wang’s publications emphasize data-driven solutions for preserving privacy while maintaining system efficiency. Her work on trajectory privacy, spectrum auctions, and distributed machine learning has been published in top-tier venues since 2016. She holds a leadership role in advising transfer students and contributes to curriculum development in cybersecurity and networking.

Sarah Haywood-Smallمشاهده پروفایل

دانشیار

• Cancer Biology
• Oncology
• Biomarker Discovery
• +۵ مورد دیگر

Dr Sarah Haywood-Small is an Associate Professor and Associate Head of the School of Biosciences and Chemistry at Sheffield Hallam University. With over 15 years of experience, she has driven strategic initiatives enhancing student engagement and academic excellence. Her research focuses on cancer pathogenesis, particularly mesothelioma diagnosis and treatment using breathomics and multiplex analytical techniques, alongside improving fibromyalgia management through patient-centered approaches. She holds a BSc and PhD in biological sciences and is a Fellow of the Higher Education Academy (FHEA). Her leadership spans quality assurance, curriculum development, and operational management, embodying Sheffield Hallam’s values of inclusivity and innovation. Notable achievements include implementing data-driven strategies that raised student satisfaction scores across all metrics. Dr Haywood-Small’s research integrates advanced technologies like laser ablation mass spectrometry and photodynamic therapy, aiming to bridge laboratory discoveries with clinical applications. Research Themes: Mesothelioma biomarkers, asbestos fiber detection, chronic pain management, therapeutic PDT reagents Awards: Multiple Inspirational Teaching Awards (2017-2021), Vice Chancellor’s Award (2021) Collaborations: Leads the Biomolecular Sciences Research Centre and supports the June Hancock Mesothelioma Research Fund Her work on fibromyalgia explores patient experiences and treatment efficacy through qualitative studies, while her mesothelioma research employs cutting-edge imaging techniques to identify asbestos exposure impacts. Dr Haywood-Small actively bridges academic research with healthcare innovation, emphasizing real-world clinical relevance.

Helen Robyمشاهده پروفایل

استادیار

• Sustainable Behavior
• Community Engagement
• Smart Cities
• +۳ مورد دیگر

Helen Roby is an Assistant Professor at Coventry University’s Research Centre for Business in Society. She holds a Doctorate from The Open University (2010) and has expertise in sustainable behavior change, particularly leveraging community engagement and technological interventions. Her work focuses on reducing environmental impact through individual and community-level actions within smart cities. Educations: Doctorate, Using Innovation and Business Models to Analyse the Organisational Embedding of Travel Plans, Open University (2006–2009) BSc Hons 1st Class (Open), Open University (1988–2005) Postgraduate Diploma in Design and Innovation, Open University (1999–2002) Research Interests: Behavior change communication, community-driven sustainability, smart city technologies, and novel data collection methods. She emphasizes small-scale, cumulative changes to address environmental challenges. Recent Research Trends: Her work bridges policy and practice in areas like low-carbon transport, community energy systems, and demand-side energy management. Collaborations with Innovate UK and EIT KIC Raw Materials highlight applied sustainability solutions. Awards: 2020 British Academy of Management Best Development Paper Award Advising & Grants: Led the Inclusive Supply Chain work package at The Open University and contributed to projects like the CAPE energy platform. Academic lead for Coventry University’s REF impact cases, coordinating evidence for societal impact submissions. Labs/Teams: Active within the Research Centre for Business in Society and collaborates with Open University researchers through her Visiting Research Fellow role (2017–2020).

Junfeng Chenمشاهده پروفایل

استادیار

• Polymer Chemistry
• High Throughput Synthesis
• Sequence-Controlled Polymers
• +۴ مورد دیگر

Junfeng Chen is an Assistant Professor (tenure track) at the University of South Carolina's Department of Chemistry and Biochemistry within the McCausland College of Arts and Sciences. His research focuses on developing advanced polymeric nanomaterials for applications in health, biotechnology, and sustainability. Key areas include sequence-controlled polymers, high-throughput synthesis methodologies, and enzyme-mimetic catalysis. Education: B.S. in Chemistry (2015), Nanjing University Ph.D. in Materials Chemistry (2020), University of Illinois at Urbana-Champaign Postdoctoral Researcher (2020–2024), University of California, Santa Barbara Research interests span polymer chemistry, nanoparticle design, and chemical biology. His team investigates polymer self-assembly, catalytic systems, and sustainable materials. Notable achievements include developing polymeric 'clickases' and enzyme-mimic catalysts. Key awards include the Heeger Award (2023), Walter G. Klemperer Dissertation Award (2020), and Coleman Fellowship (2018). His work has been presented at major conferences, including ACS National Meetings and the Gordon Conference on Polymers. Laboratory facilities include labs HZN1 215 and 216, where interdisciplinary research integrates organic synthesis, polymer chemistry, and nanotechnology. Future projects aim to advance data-driven polymer design and biocompatible materials.

Shoaib Usmanمشاهده پروفایل

دانشیار

• Health Physics
• Radiological Pathway Analysis
• Machine Learning
• +۵ مورد دیگر

Dr. Shoaib Usman is an Associate Professor in Nuclear Engineering and Radiation Science at Missouri University of Science and Technology (Missouri S&T), where he also serves as a Research Investigator at the Center for Research in Energy and Environment (CREE). His research focuses on health physics, radiological pathway analysis, machine learning applications in nuclear systems, uncertainty quantification, and cybersecurity for nuclear infrastructure. He holds a Ph.D. in Nuclear Engineering from the University of Cincinnati, along with multiple MS degrees in Nuclear Engineering and Health Physics. Education: Ph.D. in Nuclear Engineering, University of Cincinnati (1997) M.S. in Health Physics, University of Cincinnati (1996) M.S. in Nuclear Engineering, University of Cincinnati (1993) B.S. in Mechanical Engineering, N.E.D. University of Engineering and Technology (1988) Research Interests: Dr. Usman’s work spans advanced nuclear reactor design, accident-tolerant fuels, digital twin technology, and community engagement strategies for nuclear projects. He has extensively studied thermal-hydraulic phenomena in prismatic modular reactors and developed data-driven models for material behavior under extreme conditions. Publications: His recent work emphasizes modular reactor safety, machine learning-driven multi-scale modeling, and uncertainty quantification in nuclear systems. Key themes include improving reactor core cooling efficiency, optimizing supply chains for small modular reactors, and enhancing cybersecurity frameworks for nuclear facilities. Awards & Grants: No awards explicitly mentioned in the provided text. His research is supported through institutional and collaborative grants focused on nuclear innovation and safety. Labs & Teams: Active member of CREE at Missouri S&T, contributing to interdisciplinary projects in energy sustainability and radiation safety.

Rashid Nikzadمشاهده پروفایل

مدرس

• Innovation Policy
• Intellectual Property Rights
• Economic Development
• +۵ مورد دیگر

Rashid Nikzad is a Lecturer at Carleton University's Department of Economics and serves as Manager, Data Science, Research and Development (DRSD) at the Treasury Board of Canada Secretariat (TBS). He holds a Ph.D. from the University of Ottawa, alongside M.Sc. degrees from IRPD (Iran) and Ottawa, and a B.Sc. from Sharif University. His work bridges academic research with public sector innovation policy. His research focuses on innovation policy, intellectual property rights, economic development, and data-driven public sector analysis. Notable projects include evaluations of Canadian innovation programs, analysis of copyright-based industries, and studies on technology spillovers. He has collaborated with Statistics Canada, Industry Canada, and the National Research Council on high-impact government research. Nikzad's publications span journals like Athens Journal of Business & Economics , Environmental Development , and World Patent Information . His work often addresses policy implications of technological change, governance frameworks, and productivity challenges in Canada. He maintains active engagement with both academic and government sectors through his dual role.

Andrew Pilnyمشاهده پروفایل

دانشیار

• Small Group Communication
• Social Network Analysis
• Organizational Communication
• +۳ مورد دیگر

Andrew Pilny is an Associate Professor in the Department of Communication at the University of Kentucky's College of Communication and Information. He holds a joint appointment in Sociology and is a member of the Center for Computational Sciences. His research focuses on social network analysis, organizational communication, and computational methods, with applications in areas like industrial agriculture and civil society dynamics. He has received awards including the Earnest Borman Best Book Award and Karl Wallace Award for Outstanding Research. Education: Ph.D., M.A., and B.A. in Communication from the University of Illinois at Urbana-Champaign (2008–2015). Research Interests Dr. Pilny's work explores how communication networks shape organizational behavior, group dynamics, and social systems. He uses computational tools like AI, machine learning, and statistical software (e.g., Python, R) to analyze complex systems. Recent projects include studying dependency networks in U.S. agriculture and civil society dynamics in Malaysia. His research contributes to understanding topics such as: AI-driven content analysis Network theory and dynamics Organizational resilience and communication Awards and Grants Notable grants include leadership of the OVPR Curate Program (2024–2025) and a project on U.S. industrial agriculture networks (2021–2023). His awards highlight contributions to group communication and computational methodologies. Projects Recent initiatives include: "Spiders in the Web: A Social Network Analysis of Dependency in U.S. Industrial Agriculture" "CI-GPT- OVPR Curate Program" focusing on AI and group communication Labs and Collaborations His work integrates interdisciplinary teams across communication, sociology, and computational sciences. He is affiliated with the Center for Computational Sciences at the University of Kentucky.

• Digital Marketing
• Responsible Gambling
• Social Media Influencing
• +۵ مورد دیگر

Dr. Elvira Bolat is an Associate Professor in Digital Marketing at Bournemouth University Business School. She holds leadership roles as the REF2028 Unit of Assessment 17 Output Champion and Deputy Chair of BU's Knowledge Exchange and Innovation Funding Panel. Her research focuses on responsible digital marketing, influencer marketing, and online gambling, with a particular emphasis on mitigating gambling harms among youth. She leads the BU Responsible Gambling Research and Digital Marketing Research groups, contributing to UN SDGs related to health and sustainable consumption. Educated at Bournemouth University, she completed her PhD on mobile technology capabilities in creative SMEs. Her consultancy spans organizations like GambleAware and Dr Jackson's, addressing digital marketing strategies and responsible gambling practices. She has supervised numerous doctoral students in digital/interactive marketing and management. Key research areas include social media influencing, technology adoption by businesses, and trust repair in online spaces. Recent work emphasizes interventions for safer gambling, leveraging real-time persuasive technologies and transparency frameworks. She has published extensively on topics like influencer-driven gambling content and youth vulnerability, with projects funded by GambleAware and ICRG. Her grants include studies on transparency in gambling operator websites and the efficacy of social norms interventions. She collaborates with teams like GREO and ASA on policy recommendations. Elvira's work bridges academic research with practical impact, aiming to shape industry practices and policy frameworks.

Job Momohمشاهده پروفایل

مدرس ارشد

• Modern Methods of Construction
• Construction/Green Technology
• Sustainable Neighbourhood Assessment Tool for Developing Countries
• +۴ مورد دیگر

Job Momoh is a Senior Lecturer in the Department of Construction, Property and Surveying at London South Bank University. With over 10 years of experience in research, teaching, and practice, his work focuses on sustainability, construction technology, and BIM adoption. He holds a PhD in Architecture and Urban Development from Nottingham Trent University, alongside a Master's in Architecture from the University of Lincoln and a Bachelor's in Architecture. He has also completed a Diploma in BIM and PGCE teaching qualification from the University of Derby. Education: PhD Architecture and Urban Development (2012–2016), Nottingham Trent University Masters of Architecture (2010–2011), University of Lincoln Bachelor's in Architecture (exact dates not specified) Diploma in BIM (2019–2020), University of Derby PGCE (2016–2017), University of Derby Research Interests: Momoh’s work addresses Modern Methods of Construction, Green Technology, Sustainable Urbanism, and BIM adoption. He develops tools like the Sustainable Neighbourhood Assessment Tool for Developing Countries and investigates Urban Drainage Systems. His recent studies explore data-driven design futures and the impact of work experience on academic professionals. Research Trends: His articles highlight themes like Construction 4.0’s role in SMEs, user experience in construction software like Leanbuild UK, and offsite manufacturing solutions for housing crises. These reflect a focus on technological innovation, sustainability, and practical applications in emerging economies. Professional Roles: Previously, he served as a Visiting Research Fellow (2016–2019) and Associate Lecturer (2013–2015) at Nottingham Trent University. He also worked as an Architectural Technologist/Project Coordinator at GW Properties and Consultancy Services UK (2012–2015).

• Machine Learning
• Mathematical Modeling
• Biostatistics
• +۳ مورد دیگر

Sajal Chakroborty is a Researcher in the Department of Mathematical Sciences at Worcester Polytechnic Institute (WPI). He holds a Ph.D. and M.S. in Mathematics and Statistics, respectively, from Texas Tech University. His research focuses on interdisciplinary applications of mathematical modeling, statistical methods, and machine learning. Key areas include disease modeling (e.g., COVID-19 and Mpox), image processing, stochastic optimization, and functional analysis. Education: Ph.D. in Mathematics, Texas Tech University M.S. in Statistics, Texas Tech University Chakroborty’s work bridges theory and practice, addressing challenges in public health through computational frameworks and advancing methodologies for small datasets and outlier detection. His recent publications emphasize hybrid deep learning for medical imaging, mathematical modeling of epidemics, and innovative tools for multivariate statistics. His contributions span both foundational mathematics and applied domains like transportation logistics and game theory. Notable trends in his publications include leveraging machine learning for healthcare diagnostics, developing stochastic optimization techniques for uncertain systems, and integrating potential theory into statistical analysis. His research underscores the interplay between mathematical rigor and real-world problem-solving.

Senjuti Basu Royمشاهده پروفایل

دانشیار

• Machine Learning
• Data Mining
• Healthcare Informatics
• +۳ مورد دیگر

Senjuti Basu Roy is an Associate Professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT). She specializes in data mining, machine learning, and healthcare informatics, with a focus on fairness in algorithms, optimization, and interdisciplinary applications in biotechnology and healthcare. Her work integrates AI systems with real-world challenges such as equitable resource allocation, predictive modeling for medical outcomes, and sustainable materials science. Education: Ph.D. in Computer Science, University of Texas at Arlington (2011) M.S. in Computer Science, University of Texas at Arlington (2007) B.Tech. in Computer Science and Engineering, University of Calcutta (2004) Research Interests: Dr. Basu Roy’s research spans algorithmic fairness , top-k query optimization , healthcare data analytics , and crowdsourcing systems . She develops frameworks for equitable data-driven decision-making and explores applications in biomedical engineering, environmental science, and structural safety. Her work bridges theoretical computer science with practical domains like drug discovery and infrastructure resilience. Publications: Her recent work includes advancements in reinforcement learning, fairness-aware preference systems, and computational methods for biomedical problems. Notable contributions include frameworks for feature selection in incomplete datasets and optimization algorithms for maritime logistics. Awards & Grants: She has secured NSF grants including “CAREER: Streamlining Task Deployment on Crowdsourcing Platforms” and “III: Small: Collaborative Research on Derived Attributes.” Her research emphasizes human-AI collaboration and equitable technology design. Advising & Teaching: Teaches courses like Data Mining (CS 634) and Introduction to Data Science (CS 301). Advises on peer-learning methodologies and collaborative task optimization. Her lab focuses on real-world AI applications and interdisciplinary problem-solving.

Abdulrahman Al-Surmiمشاهده پروفایل

مدرس

• Business Analytics
• Strategic Management
• Decision Making
• +۳ مورد دیگر

Dr. Abdulrahman Al-Surmi is a Lecturer in Business Analytics and Programme Director of the MSc Business Analytics at Birkbeck Business School, University of London. He holds a PhD from the University of Bedfordshire, an MBA from Sheffield Hallam University, and other postgraduate qualifications. His research focuses on strategic alignment between business, IT, and marketing strategies, AI applications in decision-making, and organizational performance improvement. He has extensive experience as an external examiner across UK universities, including roles at the University of Plymouth, BPP University, and Cranfield University. Dr. Al-Surmi is a member of the Birkbeck Centre for Innovation Management Research and leads the £131,741 Management KTP project focused on transforming business models through strategic alignment and data-driven decision-making. His teaching spans quantitative methods, big data management, and business analytics, with modules like Mathematics for Business and Data Visualization. He has supervised 2 PhD students and actively reviews for high-impact journals such as the International Journal of Production Research and Industrial Marketing Management. Professional memberships include the Higher Education Academy (Fellow) and the British Academy of Management. His recent work explores AI in policy-making for small municipalities and the operational performance benefits of combining AI strategies with traditional business practices.

• Entrepreneurship Education
• Innovation in SMEs
• Digitalization in Business
• +۳ مورد دیگر

Dr. Alexander Fust is a Senior Lecturer of Business Administration at the University of St. Gallen, affiliated with KMU-HSG. His research focuses on entrepreneurship education, innovation in small and medium-sized enterprises (SMEs), digitalization strategies, and self-regulated learning processes. He has authored numerous publications analyzing entrepreneurial behavior, strategic decision-making, and SME competitiveness. His work emphasizes practical frameworks for enhancing SME attractiveness, digital transformation, and fostering self-directed learning among entrepreneurs. Key research areas include the transferability of entrepreneurship education outcomes, imaginative leadership in innovation, and the role of cognitive biases in strategic choices. Fust has contributed to Swiss SME studies, exploring economic trends and organizational improvisation. His publications span academic journals and practical guides, addressing topics like opportunity recognition, financial strategies, and sustainable entrepreneurship. While no formal awards or grants are explicitly listed, his extensive publication record highlights sustained contributions to SME management and entrepreneurial pedagogy. He is based at KMU-HSG, Dufourstrasse 40a, St. Gallen, and can be reached via the university's contact channels.

Kristian Dubrawskiمشاهده پروفایل

استادیار

• Water Quality
• Environmental Justice
• Nature-Based Solutions
• +۵ مورد دیگر

Dr. Kristian Dubrawski is an Assistant Professor in the Department of Civil Engineering at the University of Victoria, Canada. He holds the Canada Research Chair in Water Sustainability for Indigenous and Rural Communities and leads the Community Water Innovation Lab. His work bridges engineering, ecology, and community engagement to address water challenges in marginalized communities. Dubrawski earned a PhD from UBC and a postdoc at Stanford, with prior roles including water consulting, policy work at McKinsey & Company, and research fellowships at Harvard and Lawrence Berkeley National Laboratory. His research focuses on small water systems, nature-based solutions (NbS), bioelectrochemical technologies, and environmental justice. Key projects include developing community-led decision support systems, integrating NbS with infrastructure, and creating carbon-negative wastewater treatment methods. He emphasizes Indigenous and community-driven methodologies, advocating for equitable, culturally respectful approaches to water sustainability. Education: PhD in Chemical/Biological Engineering, University of British Columbia (UBC) Postdoctoral Research, Stanford University Key Roles: Canada Research Chair in Water Sustainability Founder of Ecological Water Consulting Visiting Scholar at Lawrence Berkeley National Lab and Harvard Kennedy School Dubrawski’s awards include the Canada Research Chair designation, recognizing his transformative work in water equity. His lab collaborates with Indigenous communities, governments, and international organizations to co-create solutions for safe drinking water, wastewater resource recovery, and climate-resilient infrastructure.

Kevin Charles Leonardمشاهده پروفایل

استاد

• Electrocatalysis
• Sustainable Energy
• Data Science
• +۳ مورد دیگر

Kevin C. Leonard is Professor of Chemical and Petroleum Engineering at the University of Kansas, with joint appointment at the Center for Environmentally Beneficial Catalysis. He leads research on sustainable electrochemical technologies for fuel and chemical production, with focus areas in electrocatalysis, scanning electrochemical microscopy, CO₂ utilization, and machine learning for catalyst discovery. His research develops novel electrochemical systems for renewable hydrogen production, CO₂ conversion, and sustainable chemical synthesis. Current projects include federated learning approaches for catalyst discovery, CO₂-expanded electrolytes for chemical production, and scanning electrochemical microscopy for catalyst characterization. Professor Leonard has received significant research funding from NSF, Department of Energy, and Cisco Systems. Awards include the ACS Sustainable Chemistry & Engineering Lectureship Award and Army Research Office Young Investigator Award. He co-founded Avium, LLC to commercialize hydrogen production technology. He teaches undergraduate and graduate courses in chemical engineering fundamentals, kinetics, catalysis, and data science. Professor Leonard currently advises 7 graduate students working on electrocatalysis, machine learning applications, and electrochemical characterization techniques.