جست‌وجوی استاد و پژوهشگر

• Marine Robotics
• Autonomous Systems
• AI for Environmental Monitoring
• +۳ مورد دیگر

Blair Thornton is a Professor of Marine Autonomy at the University of Southampton's Faculty of Engineering and Physical Sciences. He leads research in autonomous marine robotics, sensing, and AI for marine science, and co-directs the FEPS In situ and Remote Intelligent Sensing (IRIS) Centre of Excellence. His work focuses on developing low-cost robotic platforms, 3D seafloor mapping systems, and AI-driven data interpretation methods. Education: PhD in underwater robotics (University of Southampton, 2006), postdoctoral research at University of Tokyo (2006-2016), and over 55 ocean expeditions (30 as PI). Teaching includes Maritime Robotics and Intelligent Mobile Robotics modules with Python-based practicals. Key Projects: BioCam (NERC), TechOceanS (EU), DriftCam (EPSRC), and Smarty200 (EPSRC). Collaborations include Sonardyne International, National Oceanography Centre, and JAMSTEC. Awards include the Okamura Kenji Prize (2014), Shell Ocean Discovery Xprize (2019), and IEEE Mid-Career Rising Star Award (2022). Active in journal editing (IEEE Oceanic Engineering, Robotics and Automation Letters) and external speaking roles.

Siddharth Deyمشاهده پروفایل

دانشیار

• Single-cell sequencing technologies
• Epigenetic regulation of gene expression
• Cell fate decisions
• +۵ مورد دیگر

Siddharth Dey is an Associate Professor in both the Department of Bioengineering and the Department of Chemical Engineering at the University of California, Santa Barbara. His research focuses on developing novel single-cell sequencing technologies to study epigenetic regulation of gene expression and cell fate decisions. The Dey Lab investigates mechanisms underlying DNA methylation dynamics, cancer cell invasion, and HIV latency using advanced multiomics approaches and 3D organoid models. He leads the Dey Lab , which integrates synthetic biology, optogenetics, and computational modeling to understand cellular heterogeneity and disease processes. Key research areas include: (1) Single-cell multiomics integration, (2) Epigenetic regulation during human development, (3) Mechanotransduction in cancer progression, and (4) Engineering tools for bacterial transcriptomics. Recent work demonstrates breakthroughs in simultaneous profiling of 5mC/5hmC modifications with transcriptomes, enabling unprecedented insights into epigenetic maintenance fidelity and cellular decision-making. His research is supported by grants including the NSF CAREER award (2024) for spatial epigenetic studies in human development. The lab actively collaborates on projects involving photopatterning technologies, stress response signaling, and HIV latency therapies. Experimental approaches combine cutting-edge sequencing methods with microfluidics-based platforms to study cellular responses in physiologically relevant 3D environments. Publications highlight contributions to understanding: (1) DNA methylation erasure in germ cells, (2) YAP-driven cardiac hypertrophy mechanisms, (3) macrophage priming via Fc receptors, and (4) bacterial mRNA sequencing innovations. These studies bridge engineering principles with fundamental biological mechanisms to address critical questions in development, cancer biology, and infectious diseases.

Michael Devetsikiotisمشاهده پروفایل

استاد

• Telecommunication Networks
• Smart Grid Communications
• Cyber-Physical Systems
• +۵ مورد دیگر

Michael Devetsikiotis is a Professor and Chair of the Department of Electrical and Computer Engineering at the University of New Mexico (UNM), part of the School of Engineering. He holds a Ph.D. from North Carolina State University (1993). His career includes roles as an Assistant/Associate Professor at Carleton University (1996–1998), Associate/Professor at North Carolina State (2000–2016), and leadership in UNM's ECE Department since 2016. He specializes in telecommunication networks, smart grids, IoT, and quantum information science. Education: Ph.D. in Electrical Engineering, North Carolina State University, 1993 M.S. in Electrical Engineering, North Carolina State University, 1990 Dipl. Ing. in Electrical Engineering, Aristotle University of Thessaloniki, Greece, 1988 Research Interests: Focuses on network design, smart grid communications, cyber-physical systems, and quantum technologies. He has published over 180 refereed papers and secured funding from NSF, NSERC, Cisco, and IBM. Notable projects include leading UNM’s Quantum Information Science program and managing the $20M NSF EPSCoR “SMART” Grid initiative. Articles Trends: Recent work emphasizes AI-driven network management (e.g., LSTM models for 5G/6G), blockchain for secure IoT/satellite systems, and quantum computing. Earlier contributions addressed EV charging infrastructure and smart grid resilience. Scientific Awards: IEEE Fellow (2012) NC State ECE Alumni Hall of Fame (2017) Advising & Grants: Directed UNM’s NSF Quantum Computing Faculty Fellowship (2020), enabling hires in quantum engineering. Previously managed a 800-student ECE graduate program at NC State. Active in IEEE leadership roles, including Distinguished Lecturer (2008–2011) and Chair of flagship conference committees. Labs & Teams: Spearheaded UNM’s IBM Q-Hub affiliation (2020), advancing quantum research collaboration. Leads interdisciplinary teams for smart city defense, blockchain energy markets, and 6G network automation.

Yukika AWAZUمشاهده پروفایل

دانشیار

• Knowledge Management
• Strategic Management
• Global Digital Strategies
• +۵ مورد دیگر

Yukika AWAZU is an Associate Professor at IÉSEG School of Management, specializing in Strategy and Sustainability. She holds a Ph.D. in Business (Bentley University, 2013) and dual Master's degrees in Business Administration and Economics (University of Illinois at Chicago, 2002). Her research focuses on Knowledge Management, Global Digital Strategies, Social Robotics, and Wellness. She previously served as Associate Professor and Head of Research at Bangkok University's Institute for Knowledge & Innovation South-East Asia (2015–2016). Notable awards include the Henry E. Rauch Doctoral Fellowship (2006) and H.B. Earhart Student Fellowship (1997). Her teaching spans courses like Sustainability Strategies, Management of Information Systems, and Digital Strategies. Research interests emphasize innovation processes, organizational knowledge practices, and technology implementation challenges. Recent work explores project memory in large-scale initiatives, artifact-mediated knowledge, and public data democratization. She has authored over 50 peer-reviewed articles, books on engaged knowledge management, and contributed to conferences globally.

Djamila Ouelhadjمشاهده پروفایل

استاد

• Operational Research
• Mathematical Optimisation
• Meta-heuristics and Hyper-heuristics
• +۶ مورد دیگر

Professor Djamila Ouelhadj of the University of Portsmouth is a leading academic in Operational Research, affiliated with the School of Mathematics and Physics and Centre for Operational Research and Logistics . She serves as Course Leader for MSc Logistics and Supply Chain Management and contributes to EU-funded projects like SEABILLA and LEANWIND . Her work spans mathematical optimization, meta-heuristics, and decision support systems applied to logistics, transportation, healthcare, and renewable energy. Research Themes : Operational Research, Logistics Analytics, AI for Decision Making, Sustainable Transportation Her recent publications focus on Mobility-as-a-Service (MaaS) systems, drone scheduling for wind farm inspection, and multi-criteria frameworks for inclusive transport. Articles highlight integration of machine learning , stochastic modeling , and robotics in solving real-world optimization problems. She employs multi-objective methods , simheuristics , and clustering techniques to address challenges in renewable energy, urban mobility, and security. Scientific Contributions include: Co-investigator on EU grants for maritime security and wind farm optimization Principal investigator for HEIF-funded Operational Research Centre Chair of scheduling streams at OR53-OR55 conferences Her advising extends to 15 theses, covering topics from nurse rostering to carbon footprint reduction. Collaborative grants include TSB and EU Horizon 2020 projects. She actively contributes to European Journal of Operational Research and leads the Logistics and Operational Research Group (LORG) in developing intelligent decision support systems for complex scheduling problems.

Saba Alimadadiمشاهده پروفایل

استادیار

• Human-centred software engineering
• Program analysis
• Program comprehension
• +۷ مورد دیگر

Saba Alimadadi is an Assistant Professor in the School of Computing Science at Simon Fraser University, located in Burnaby, BC, Canada. She holds a PhD from the University of British Columbia (2017). Her research focuses on software engineering, particularly program analysis, debugging, and testing of dynamic languages like JavaScript, TypeScript, and Python, aiming to enhance developer productivity through semi-automated techniques. She teaches courses such as CMPT 276 (Introduction to Software Engineering), CMPT 479 (Special Topics in Computing Systems), and CMPT 982 (Special Topics in Networks and Systems). Her research interests include human-centred software engineering, program comprehension, and web engineering. She actively contributes to the academic community, serving on program committees for ICSE, ASE, ISSTA, and organizing conferences like SPLASH/ISSTA and SCAM. Her work bridges theoretical insights with practical tools for improving software development practices. Dr. Alimadadi oversees research opportunities for SFU students, including USRA and work-study positions. She is affiliated with the university’s research groups and labs, though specific lab names are not explicitly mentioned. No scientific awards are cited in the provided materials.

Zheying Zhangمشاهده پروفایل

مدرس

• Requirements Analysis
• Domain Modelling
• Quality Assurance
• +۱۰ مورد دیگر

Zheying Zhang is a Lecturer at Tampere University within the Faculty of Information Technology and Communication Sciences , Department of Computing Sciences . She holds a Ph.D. in Computer Science and Information Systems from the University of Jyväskylä (2004) and was awarded a Docent (Adjunct Professor) title in Software Development from the University of Tampere (2013). Education: Ph.D. (2004), Docent (2013) Her research focuses on Requirements Engineering , with specific interests in Requirements Analysis Domain Modelling AI-Assisted Requirements Management Software Quality Assurance Process Improvement Data-Driven Software Development Medical Device Software Current Master's thesis topics include AI for Software Engineering, DevOps pipelines, and cross-disciplinary software ethics. Recent publications highlight trends in AI applications for requirements management, software evolution analysis , and accessibility testing . She actively supervises PhD candidates like Xiaozhou Li and Wenhui Lu, with works spanning open-source projects and medical software quality. Scientific Contributions: 54 research outputs (2003-2025), including 3 2025 conference papers

• Clone Detection
• Data Protection
• Natural Language Processing
• +۳ مورد دیگر

Muslim Chochlov serves as a Researcher within the Department of Computer Science & Information Systems and is an active member of Lero – the Irish Research Centre for Software. His work bridges theoretical computer science with practical industrial software solutions through rigorous empirical studies. Research Focus: Specializes in code clone detection systems using BERT-based neural networks and ensemble inference methods, with significant contributions to data protection frameworks in digital health applications during the COVID-19 pandemic. Publication Trends: Demonstrates a clear evolution from foundational software architecture studies (2015-2020) toward AI-driven code analysis (2021-2025), with 73% of recent output focused on scalable industrial clone detection techniques and citizen-centered health informatics tools. Collaboration Network: Maintains extensive cross-institutional partnerships through Lero's national research infrastructure, evidenced by multi-author publications spanning computer science, public health, and data protection domains. His 2022 contact tracing app analysis achieved notable impact with 20 citations and 100+ reader captures. Technical Leadership: Develops practical methodologies for industrial codebase analysis including nearest-neighbor BERT implementations and ensemble inference systems that improve detection recall while addressing data protection requirements in sensitive health applications.

Jagannathan Sarangapaniمشاهده پروفایل

استاد

• Neural Networks
• Adaptive Control
• Cyber-Physical Systems
• +۵ مورد دیگر

Jagannathan Sarangapani is the William A. Rutledge - Emerson Electric Company Distinguished Professor at the Missouri University of Science and Technology, where he holds a primary appointment in the Department of Electrical and Computer Engineering. He also holds courtesy appointments in Computer Science and Engineering Management and Systems Engineering. His research focuses on adaptive control, neural networks, cyber-physical systems, robotics, and big data prognostics. He has supervised over 36 doctoral and 32 M.S. students, with current research funded to the tune of $47M (shared credit: $13.8M). His awards include the IEEE Fellow, Fellow of the National Academy of Inventors, and multiple teaching excellence awards. Education: Ph.D. in Electrical Engineering (University of Texas at Arlington, 1994), M.S. (University of Saskatchewan, 1989), and B.E. (Anna University, India, 1986). Research interests include learning algorithms, neural network decision-making, networked control systems, and healthcare applications. Recent grants include projects on human-machine teaming, resilient deep learning control, and UAV formation control. He has authored/co-authored over 500 publications, including 21 patents and five books. Awards highlight his contributions: IEEE Control Systems Society’s Transition to Practice Award (2018), NSF CAREER Award (2001), and multiple teaching commendations. He directs the Embedded Control Systems and Networking Laboratory and served as Site Director for the NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems.

Hoda ElMaraghyمشاهده پروفایل

استاد

• Manufacturing Systems
• Industry 4.0
• Lean Manufacturing
• +۷ مورد دیگر

Dr. Hoda ElMaraghy is a distinguished Professor of Industrial and Manufacturing Systems Engineering at the University of Windsor , Faculty of Engineering. She is internationally recognized for her groundbreaking contributions to manufacturing systems, particularly in the areas of Industry 4.0, smart manufacturing, and reconfigurable systems. Her research emphasizes adapting manufacturing processes to handle high product variety while maintaining efficiency and sustainability. Dr. ElMaraghy has held significant roles, including former Dean of the Faculty of Engineering, and leads the Intelligent Manufacturing Systems Centre . Her work integrates digital twins, reinforcement learning, and biomimetic approaches to solve complex manufacturing challenges. Key projects include optimizing assembly line rebalancing, thermal expansion control in plastics, and sustainable greenhouse manufacturing ecosystems. Awards & Honours: 2022: Invested in the Order of Canada 2021: Honorary Doctorate from Aalborg University 2021: Honorary Doctorate from Chalmers University 2018: Fellow of the Royal Society of Canada 2016: Fellow of the Canadian Academy of Engineering Her research also focuses on SME innovation through IIoT-driven learning factories and human capital transformation for smart manufacturing adoption. She has published extensively on digital twin applications, product platform design, and lean production systems.

Chaoxiong Yeمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Neuroscience
• Visual Memory
• Working Memory
• +۳ مورد دیگر

Dr. Chaoxiong Ye is an Academy Research Fellow (PI) at the Department of Psychology, University of Jyväskylä. He holds two PhDs: one in Cognitive Science (2015–2018) and another in Psychology (2018–2020). He holds four docentships (Associate Professor titles) at Finnish universities in Cognitive Neuroscience and Cognitive Psychology. As a PI, he has secured over €1.5M in funding and supervises nine doctoral students. He serves on editorial boards of BMC Psychology and PLOS ONE , and fosters international collaborations with leading institutions globally. Education: PhD in Cognitive Science, University of Jyväskylä (2015–2018) PhD in Psychology, University of Jyväskylä (2018–2020) Master’s in Applied Psychology, MinNan Normal University (2012–2015) Research Interests: Focuses on cognitive and neural mechanisms of visual memory, working memory, and emotional face processing. Current projects include studying memorability’s impact on long-term memory and developing diagnostic strategies for memory disorders. Principal Investigator: Cognitive and Neural Mechanisms for Memorable Visual Stimuli (€0.93M, 2023–2027) Previous project: Two-Phase Resource Allocation Model of Visual Working Memory (2020–2023) Publications: Over 110 publications in top journals, emphasizing working memory mechanisms, emotional interference, and neural basis of depression. Notable contributions include studies on retro-cue effects, dimension-based attention, and face distractor impacts. Awards & Grants: Secured €1.5M+ in grants from the Research Council of Finland. Recognized for editorial work and international collaborations. Labs & Teams: Leads Ye’s Lab at the University of Jyväskylä, fostering research on cognitive processes and neural mechanisms.

Aisling O’Boyleمشاهده پروفایل

مدرس ارشد

• TESOL
• English Language Learning (ESL, EFL, EAL)
• Academic Discourse
• +۵ مورد دیگر

Dr Aisling O’Boyle is a Senior Lecturer at Queen's University Belfast's School of Social Sciences, Education and Social Work. She specializes in TESOL, language education, and applied corpus linguistics, focusing on multilingual contexts. Her research explores discourse analysis in educational settings, corpus-based language studies, and English language learning migration dynamics. She has led national and international projects, including guides for digital data-driven learning and refugee language support curricula. Awards include the Queen’s Teaching Award for Sustained Excellence (2014) and a Fredrik and Catherine Eaton Fellowship (2021). She supervises PhD students in areas like English for Academic Purposes and community-based language education. Research Interests: TESOL, Academic Discourse, Corpus Linguistics, Migration and Language Learning Leadership Roles: Director of the Centre for Language Education Research, former Director of Internationalization (2018-2022) Teaching: MSc TESOL modules, PGCE Electives, Open Learning courses on teaching migrants/refugees Key Projects: Language Trends surveys, Irish-medium education research, refugee language curricula Her work bridges theoretical linguistics with practical educational applications, emphasizing equity and context-sensitive language teaching strategies.

Tom Johnstenمشاهده پروفایل

استاد

• Data Mining Algorithms
• Computational Biology
• Machine Learning Applications

Dr. Tom Johnsten is a Professor in the Computer Science Department at the University of South Alabama, part of the School of Computing. He holds a Ph.D. in Computer Science from the University of Louisiana at Lafayette (1998), an M.S. in Computer Science from Arizona State University (1992), and a B.S. in Mathematics from Oklahoma State University (1987). His research focuses on developing data mining algorithms, computational biology, and applying machine learning technologies to interdisciplinary challenges. His work bridges computational methods with biological systems, cybersecurity, and environmental data analysis. Notable contributions include advancements in DNA repair mechanisms, anomaly detection in data streams, and prescriptive maintenance frameworks. He has taught courses such as Digital Logic and Computer Architecture, Operating Systems, Programming Language Theory, and Data Mining. His office is located in Shelby Hall, Room 1119, with regular office hours on Tuesdays and Thursdays. Dr. Johnsten’s publications reflect a strong emphasis on cybersecurity, bioinformatics, and data-driven solutions. He has explored topics like mitochondrial DNA repair, robotic system security, and synthetic signal peptide design. While no scientific awards are explicitly listed, his extensive publication record highlights sustained academic contribution. Teaching and advising roles include mentoring students through courses like Research Methodologies and Database Design. His work integrates theoretical computer science with practical applications in diverse fields.

Xing Liمشاهده پروفایل

استاد

• International Relations
• Globalization and Social Change
• China and International Relations
• +۵ مورد دیگر

Xing Li is a Professor in the Department of Politics and Society at Aalborg University, affiliated with the Faculty of Social Sciences and Humanities. Their research focuses on global political dynamics, particularly China's role in international relations, multi-order world governance, and Arctic peace initiatives. Key projects include the 'Anticipating Governance in the Coming Multi-Order World' (2023-2026) and 'Preserving the Arctic as an International Zone of Peace' (2021-2023). Education details are not explicitly provided in the text, but Li's expertise spans international relations theory, political economy, and development studies. Their research interests integrate themes like globalization, social change, and East Asian regional integration, often addressing contemporary challenges in global governance. Recent research trends include interdisciplinary collaboration between political science and technical fields (e.g., energy systems and materials science), as evidenced by publications on fuel cell diagnostics and battery technologies. These studies highlight innovative applications of data-driven methods in both social and engineering contexts. Li has received the 'Teacher of the Year' award (2020) and has supervised one PhD student, J. Pang. They actively engage in academic activities, including organizing conferences on global south dynamics and multi-order world narratives. Li's work is supported by grants from institutions like the Asia Foundation and has been widely disseminated through media outlets like China Daily and South China Morning Post .

Frauke Liersمشاهده پروفایل

استاد

• Optimization under Uncertainty
• Distributionally Robust Optimization
• Quantum Computing
• +۵ مورد دیگر

Prof. Dr. Frauke Liers holds the Professorship of Optimization under Uncertainty & Data Analysis at the Department of Data Science (DDS), Friedrich-Alexander-University Erlangen-Nürnberg. Her research focuses on robust and distributionally robust optimization, mathematical programming, and applications in energy systems, healthcare logistics, and quantum computing. Email: frauke.liers@fau.de ResearchGate: Frauke Liers Research Interests span optimization under uncertainty, data-driven mathematical programming, and interdisciplinary applications. Key areas include: Distributionally robust optimization with scenario reduction and chance constraints Quantum computing optimization for gate routing and noise suppression Energy system modeling (photovoltaics, gas networks, electricity networks) Healthcare logistics (patient transport scheduling under uncertainty) Nanoparticle technology and chemical process optimization Recent Publications emphasize: Advancements in quantum circuit optimization (2025) Explainable optimization methods (2024) Robust approaches for particle precipitation control (2024) Dynamic trajectory optimization (2023) Time-expanded models for network flows (2022)