User-centric machine learning Professors and Supervisors | ApplySharif

جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۷۲۱-۷۳۵ از ۲٬۱۸۲ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Chuan Mengمشاهده پروفایل

پژوهشگر

University of AmsterdamNetherlands

Chuan Meng is a researcher transitioning to a postdoctoral position at the University of Edinburgh's Natural Language Processing Group in September 2025. He obtained his PhD in Artificial Intelligence from the University of Amsterdam (UvA) in June 2025, supervised by Maarten de Rijke and Mohammad Aliannejadi. His research focuses on Information Retrieval and Natural Language Processing with Large Language Models , particularly in conversational agents, model/data-efficient neural ranking, and automatic evaluation techniques like query performance prediction. Education: PhD in Artificial Intelligence, University of Amsterdam (2025) MS in Computer Science and Technology, Shandong University (2021) BS in Electronic Commerce, Shandong Normal University (2018) His research interests span conversational search optimization, proactive agent development, knowledge-grounded dialogue systems, and query performance prediction using LLM-generated judgments. Recent work includes UniConv (unified retrieval/response generation), SOLID (intent-aware dialog generation), and QPP++ 2025 workshop organization. Key scientific contributions include 440+ Google Scholar citations (H-index: 13) and publications in premier venues like SIGIR , ACL , EMNLP , and TOIS . He has served as program committee member for SIGIR 2025/2024, ACL 2023, and other top conferences. As teaching assistant , he contributed to Information Retrieval and Natural Language Processing courses at UvA and Shandong University. His administrative roles include IRLab LinkedIn manager, webmaster for IRLab website, and seminar chair at UvA.

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Xiaoxiao Chengمشاهده پروفایل

مدرس

The University of ManchesterUnited Kingdom

Xiaoxiao Cheng is a Lecturer in Engineering Systems for Robotics at the University of Manchester's Department of Electrical and Electronic Engineering. Previously, he held roles as a Research Associate at Imperial College London (2020-2023) and a Research Fellow at Stanford University (2019-2020). He earned a Ph.D. in Electrical and Electronic Engineering from The University of Melbourne (2019), M.Phil. in Mechanical Engineering from Tsinghua University (2014), and B.Eng. in Mechanical Engineering from Beijing Institute of Technology (2011). His research focuses on intelligent autonomous systems and human-machine interfaces, integrating robotics, control theory, AI, and neuroscience. Key areas include adaptive control for human-robot interaction, sensory integration, intention detection, and multi-sensory feedback for applications in manufacturing and hazardous environments. He actively explores autonomous navigation and computational modeling to enhance human-machine collaboration. Recent publications emphasize haptic feedback systems, shared control in robotic surgery, and multimodal sensory datasets. His work contributes to SDGs related to industry innovation and infrastructure, and sustainable cities. Xiaoxiao Cheng welcomes prospective PhD students in robotics, control systems, and human-machine interaction. He is open to collaborations and can be contacted at Xiaoxiao.cheng@manchester.ac.uk .

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Sajjan G. Shivaمشاهده پروفایل

استاد

University of MemphisUnited States

Sajjan G. Shiva is a Professor at the Department of Computer Science , University of Memphis. He joined the University in 2002 as Director of the Computer Science Division and led its transition to a full department in 2005, serving as Founding Chair until 2015. Faculty positions: University of Alabama in Huntsville, Alabama A&M University Industry roles: Teledyne Brown Engineering, Intergraph Corporation, U.S. Army Space and Strategic Defense Command Education : PhD in Electrical Engineering, Auburn University (1975) Research Interests : Dr. Shiva specializes in game-theoretic cybersecurity , secure software engineering , cloud computing security , and network defense mechanisms . His work integrates artificial intelligence , computer architecture , and expert systems into security frameworks. Publications : Recent work focuses on crowdsourcing applications , SQL injection mitigation , and attack graph modeling . His research trends emphasize stakeholder-oriented security , runtime monitoring , and game-inspired defense architectures . Scientific Awards : Fellow of IEEE Life Member of ACM First Horizon Foundation Distinguished Professor Advising and Funding : Dr. Shiva has advised over 35 PhD and Master’s students, including Abdullah Abu Hussein (2017), Vivek Shandilya (2015), and Ramya Dharam (2014). His research is funded by NSF , NASA , U.S. Department of Defense , and ONR . Labs and Teams : He leads the Game Theory and Cyber Security Laboratory (GTC Lab), focusing on game-theoretic models and secure software frameworks . His collaborations include institutions like NASA, U.S. Army, and industry partners.

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Simon Harperمشاهده پروفایل

استاد

The University of ManchesterUnited Kingdom

Simon Harper is a Professor of Human Computer Systems at the University of Manchester, leading the Web Ergonomics Lab. His research focuses on web accessibility, human-computer interaction, and healthcare technology, with a particular emphasis on disabilities like visual impairment. He has pioneered initiatives such as the Web4All conference series and serves on steering committees for major conferences like ACM HT and ASSETS. Harper has secured over £1.45M in grants since 2007 and holds an h-index of 20. His work spans medical technology innovations (e.g., HYPO-CHEAT hypoglycemia reduction system), accessibility evaluation methods (OPTIMAL-EM tool), and environmental monitoring via citizen science. He has received prestigious awards including the ACM Doug Engelbart Prize (2000) and Best Paper awards at W4A. Harper's academic contributions include over 140 publications, with key areas in diabetes management systems, Parkinson’s disease monitoring via smartphone data, and web accessibility evaluation methodologies. His teaching integrates cutting-edge research into professional computing education, emphasizing real-world industry practices. He is actively involved in standards bodies like the W3C Web Accessibility Initiative and serves on editorial boards for journals such as ACM Transactions on Accessible Computing. Research Groups: Information Management, Data Science Institute, Web Ergonomics Lab Professional Roles: Chair of ACM SIG Hypertext, RCUK EPSRC Inclusion Cluster Expert Lab Focus: Developing computational models for human behavior in digital environments

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John Henryمشاهده پروفایل

مدرس ارشد

Manchester Metropolitan UniversityUnited Kingdom

Dr. John Henry is a Senior Lecturer and Programme Leader for BSc Games Design at Manchester Metropolitan University's Department of Computing and Mathematics. His roles include teaching undergraduate and postgraduate courses on games design, development, and gamification. He leads the Games Science Lab and the Serious Games for Health theme at the Manchester Games Centre, focusing on applying games and technology to healthcare, education, and human-centered computing. His research emphasizes the effectiveness of games in mental/physical rehabilitation, gamification in higher education, and IoT integration in games-based solutions. He supervises projects across Final Year, apprenticeship, and master’s programs, including a PhD on avatars in gamification for micro-teaching. Key research themes include wearable technology in exergames, stress/anxiety recognition via machine learning, and IoT-driven student engagement. He has collaborated on projects like the Affective Audio Dataset and frameworks merging serious games with IoT systems. Henry’s work bridges technology and societal challenges, with outputs spanning clinical psychology, AI ethics, and healthcare technology. His interdisciplinary approach addresses real-world problems through innovative game design and sensor-based solutions.

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William Steingartnerمشاهده پروفایل

دانشیار

Technical University of KosiceSlovakia

William Steingartner is an Associate Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Košice (TUKE). He specializes in formal languages, programming language semantics, cybersecurity, and computer science education. His research focuses on advancing pedagogical tools for teaching formal semantics, compiler design, and secure software development. He actively contributes to academic governance, serving as Principal Investigator on projects like 'Application of new principles in the education of IT specialists' and participating in 'Evolving Architectural Knowledge in the Edge-to-Cloud Continuum.' Dr. Steingartner holds editorial roles, including guest editor for the Central European Journal of Computer Science (since 2011) and editor of proceedings for conferences like INFORMATICS 2019. He has organized major events such as the International Scientific Conference Informatics in 2013, 2015, 2017, and 2019, demonstrating leadership in academic event management. His teaching spans formal languages, logic for computer scientists, and domain-specific language design. Research highlights include developing tools like OnlineProver for formal logic education and RISCAL for semantics visualization. He explores cybersecurity challenges in hybrid threats, API security, and cyber resilience strategies, alongside innovations in VR applications for therapy and education. Key contributions include over 50 publications since 2015, with recent work addressing disinformation campaigns, smart orthosis design, and pedagogical software for programming semantics. He emphasizes interdisciplinary collaboration, bridging theoretical computer science with practical applications in medicine, robotics, and user experience design.

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Jundong Chenمشاهده پروفایل

دانشیار

Dickinson State UniversityUnited States

Dr. Jundong Chen is an Associate Professor of Computer Science at the School of Applied Sciences, Dickinson State University. He holds a Ph.D. in Computational Analysis and Modeling from Louisiana Tech University, alongside multiple master's degrees in Computer Science, Mathematics, and Engineering from Louisiana Tech and Qingdao University of Science and Technology. His research focuses on biometric systems, social network analysis, game theory, sentiment analysis, and privacy in online networks. He was promoted to IEEE Senior Member in 2022. Dr. Chen’s academic journey includes a B.S. and M.S. in Engineering from Qingdao University of Science and Technology, followed by advanced degrees at Louisiana Tech University. His work bridges theoretical computer science with practical applications, such as robotics competitions for STEM education and privacy-preserving mechanisms in social networks. His recent publications emphasize multi-stage biometric verification systems, evolutionary game theory modeling of social network dynamics, and sentiment analysis correlations in Twitter interactions. His contributions to continuous authentication via creative writing and enhanced multi-biometric fusion architectures highlight interdisciplinary innovation. Dr. Chen has been recognized for his IEEE Senior Member status, reflecting his scholarly impact. His research portfolio includes over 20 peer-reviewed articles since 2004, spanning cybersecurity, signal processing, and educational technology.

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Mushu Liمشاهده پروفایل

استادیار

Lehigh UniversityUnited States

Mushu Li is an Assistant Professor in the Department of Computer Science and Engineering at Lehigh University, specializing in machine learning for communications and networking, intelligent IoT, and next-generation wireless networks. She holds a Ph.D. in Electrical and Computer Engineering from the University of Waterloo (2021), an M.A.Sc. from Toronto Metropolitan University, and a B.Eng. from the University of Ontario Institute of Technology. Education : Ph.D., Electrical and Computer Engineering, University of Waterloo M.A.Sc., Electrical and Computer Engineering, Toronto Metropolitan University B.Eng., Electrical Engineering, University of Ontario Institute of Technology Research Interests : Her work focuses on AI-driven networking, edge computing, 6G systems, and digital twin technology. Key areas include resource management in cooperative networks, quality-of-experience optimization for XR services, and secure-edge AI frameworks. Her contributions address challenges in wireless communication efficiency, IoT integration, and autonomous systems. Publications Trends : Recent work emphasizes digital twin applications for resource allocation, edge AI for real-time systems, and 6G infrastructure innovations. Over 15 articles (2023–2025) explore themes like QoE-aware video streaming, federated learning optimization, and autonomous vehicle networking. Awards : No awards explicitly listed in the provided text. Advising & Grants : While no specific grants or advisees are mentioned, her research portfolio suggests active engagement in collaborative projects involving industry and academic partners. Grant details may be available via her lab or institutional portals. Labs/Teams : Not explicitly detailed here, but her work aligns with Lehigh’s research groups in edge computing and wireless networks.

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Niklas Kleinمشاهده پروفایل

استاد

Flensburg University of Applied SciencesGermany

Niklas Klein is a Professor at the Department of Information and Communication at Flensburg University of Applied Sciences. He also serves as Vice President for Studies and Teaching on the Executive Board. His academic background includes a PhD from the University of Kassel (2011) and earlier degrees from the University of Paderborn. His research focuses on context-aware systems, ubiquitous computing, and smart grid technologies. He has contributed to projects like the Future Internet Smart Grid Application (2013), activity recognition using inertial sensors (2011), and XML/XQuery transformation frameworks (2005–2011). His work emphasizes time synchronization in sensor networks and user-centric service creation. Notable publications include studies on context prediction stability, energy management in smart grids, and DAG-based context reasoning architectures. He has advised over 20 Master's and Bachelor's students in areas like distributed systems and communication technologies. Klein has secured funding for projects such as the KLIMASCHUTZ-PLANER (2013–2014) and IT2Green Pinta (2012–2014). He organizes workshops like AwareCast and serves on technical program committees for CAPS 2012 and Context 2011. Additional service includes managing the alumni network for Kassel University's Communication Technologies chair and supporting international student recruitment.

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FRANCISCO JAVIER GARCIA POLOمشاهده پروفایل

استاد

University of Santiago de CompostelaSpain

Francisco Javier Garcia Polo is a Professor at the University of Santiago de Compostela (USC) , affiliated with the Department of Electronics and Computing within the Higher Polytechnic School of Engineering . His research focuses on Reinforcement Learning (RL) , particularly in areas such as safe decision-making, adversarial attack detection, and policy transfer across tasks. He holds a PhD from Universidad Carlos III de Madrid (2013), where his thesis explored safe RL in continuous state-action spaces. Key research interests include enhancing RL robustness against adversarial attacks, federated learning applications in robotics, and applying RL to financial systems like automated market makers. He is part of the GSI Group (Intelligent Systems Group) , contributing to projects involving social assistive robotics and multi-modal transportation planning tools like TIMIPLAN. His work bridges theoretical advancements with practical domains such as healthcare robotics, cybersecurity, and economic modeling. Publications highlight innovations in policy defense mechanisms, similarity metrics between Markov Decision Processes, and frameworks for evaluating assistive robots. Despite his prolific output, he has not publicly shared research papers on Academia.edu. Collaborations span interdisciplinary topics, reflecting a commitment to both foundational AI research and real-world applications.

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Henny Admoniمشاهده پروفایل

دانشیار

Carnegie Mellon UniversityQatar

Henny Admoni is an Associate Professor in the Robotics Institute at Carnegie Mellon University (CMU), with a courtesy appointment in the Human-Computer Interaction Institute. She leads the Human And Robot Partners (HARP) Lab, focusing on assistive and collaborative robotics, particularly how robots can interpret human nonverbal cues like eye gaze to improve interactions. Her research spans healthcare, human-robot teamwork, and socially assistive robotics, supported by NSF, ONR, and industry partners. Admoni holds a PhD in Computer Science from Yale University and a BA/MA from Wesleyan University. Education PhD in Computer Science, Yale University BA/MA in Computer Science, Wesleyan University Research Interests Admoni’s work emphasizes human-centered robotics, including assistive systems for mobility-impaired users, driver situational awareness modeling, and fostering social support networks through AI. She investigates how robots can proactively learn from humans, adapt to team dynamics, and communicate transparently to build trust. Key themes include nonverbal communication, shared autonomy, and ethical design. Grants & Awards NSF CAREER Grant (2020) Okawa Research Grant (2021) A. Nico Habermann Career Development Professorship (CMU) Advising & Teaching Admoni advises graduate students on topics like robot learning, assistive systems, and human-robot teaming. She teaches courses on Human-Robot Interaction at both undergraduate and graduate levels, emphasizing interdisciplinary approaches that blend robotics, AI, and cognitive science. Labs & Projects The HARP Lab develops robots for meal preparation assistance, driving support, and socially assistive interventions. Current projects include the HARMONIC dataset for collaborative tasks and COHUMAIN for socio-cognitive architectures in human-machine teams. Admoni is on sabbatical at KTH University through 2025.

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Nada Sanadمشاهده پروفایل

پژوهشگر

University of OuluFinland

Nada Sanad is a postdoctoral researcher at the Empirical Software Engineering in Software, Systems, and Services (M3S) research unit at the University of Oulu's Faculty of Information Technology and Electrical Engineering. She earned her Ph.D. (2024) in Information Processing Science from the University of Oulu, focusing on data-driven decisions and human-machine collaboration. She holds a B.Sc. (2011) and M.Sc. (2013) in Business Informatics from the German University in Cairo, Egypt, with a focus on data mining and big data analytics. Her research interests span data-driven decision-making, hybrid intelligence, human-machine collaboration, AI/ML for decision support, big data analytics, and business intelligence. Her work emphasizes ethical and practical applications of AI in decision-making processes, particularly in autonomous systems and manufacturing contexts. Recent publications (2023–2025) highlight trends in evaluating AI-driven decisions, hybrid intelligence frameworks, and data governance in industry. She contributes to projects like OXILATE, integrating AI insights into actionable expertise. Nada Sanad has not been listed as having formal advisees but collaborates actively in interdisciplinary teams at the M3S unit. She maintains profiles on ORCID, SCOPUS, Google Scholar, and ResearchGate.

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Mark Ryanمشاهده پروفایل

پژوهشگر

Wageningen University & ResearchNetherlands

Dr. Mark Ryan is a Digital Ethics Researcher at Wageningen University & Research's Data Science & Innovation department, affiliated with the Wageningen Social & Economic Research division. Previously, he held a Postdoctoral position in the Department of Philosophy at KTH Royal Institute of Technology, Stockholm. His research focuses on digital ethics, AI, and responsible innovation, with a particular emphasis on agriculture, smart cities, and healthcare robotics. Education & Positions: Postdoctoral Researcher, Department of Philosophy, KTH Royal Institute of Technology Research Interests: AI Ethics in Agri-Food Systems Ethics of Robotics and Assistive Technologies Digital Ethics in Smart Cities Environmental and Food Ethics Responsible Innovation in Agriculture Policy Implications of Emerging Technologies Key Projects: SHERPA Project (2018-2021, €3M) : Addressing ethical, social, and human rights implications of AI and smart systems. MARIO Project (2015-2018, €4M) : Investigating service robots to combat loneliness among dementia patients. Awards & Recognition: None explicitly listed, though his work has garnered significant peer citations and interdisciplinary impact. Grants & Advising: Led EU-funded H2020 projects on AI ethics and dementia care robotics. Collaborated with global institutions on digital governance frameworks. Labs & Teams: Part of Wageningen's Data Science & Innovation team, focusing on ethical digital transformation in agriculture and food systems.

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Stéphane Safinمشاهده پروفایل

مدرس

Télécom ParisFrance

Stéphane Safin is a Lecturer and researcher in ergonomics at Télécom Paris, part of the Institut Polytechnique de Paris. He holds a PhD in ergonomic psychology from the University of Liège (2011) and conducted postdoctoral research at the University of Montreal. His academic roles include teaching interaction design, user-centered design methods, and overseeing design projects. He co-leads the Master's in Design program accredited with University of Paris Saclay and ENSCI-Les Ateliers. His research focuses on creative activity in design, particularly in architecture and industrial design, emphasizing cognitive processes and instrumental dimensions of creativity. Key areas include digital sketching, collaborative design, and the role of external representations (drawings, models) in creative processes. Notable projects include the ANR Social Touch Project (2017-2020) exploring tactile interfaces for social communication and the EU-funded DIALLS Project (2018-2021) on cultural literacy through text production. He leads the Interaction, Technology, Activity (Interact) research team within the Interdisciplinary Institute of Innovation (i3) lab. His work spans participatory design, emergency response systems, and co-creation methodologies for urban planning. Recent publications address topics like bicycle modal shift in urban France, haptic interfaces for remote communication, and co-design in geriatric care facilities. He has contributed to over 70 peer-reviewed articles, conference papers, and book chapters, with a focus on design cognition, ergonomics education, and sociotechnical systems. His teaching integrates theoretical and practical design methodologies, emphasizing interdisciplinary collaboration and user-centric approaches.

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Amir Karamiمشاهده پروفایل

دانشیار

University of Alabama at BirminghamUnited States

Dr. Amir Karami is an Associate Professor of Quantitative Methods/Business Analytics at the University of Alabama at Birmingham (UAB) in the Collat School of Business. He also holds roles as a Scientist at UAB's School of Medicine and previously served as Associate Dean for Research at the University of South Carolina's College of Information and Communications. His expertise spans computational social science, health informatics, and social media analytics. Dr. Karami holds a PhD in Management Information Systems from the University of Maryland Baltimore County. His research focuses on leveraging text mining, AI, and machine learning to analyze social media data for insights in healthcare, political discourse, and workplace dynamics. He has been recognized with the Healthcare 2021 Young Investigator Award and an honorable mention from the ASIS&T SIG Social Media Annual Workshop. Key Roles: Associate Professor (UAB Collat School of Business), Scientist (UAB School of Medicine), Former Associate Dean (UofSC). Research Themes: Misinformation detection, health informatics, computational methods for qualitative data, and workplace sexual harassment analysis. Labs/Teams: Karami Lab (GitHub repository hub for datasets and tools). His work bridges academia and practical impact, collaborating with institutions like the South Carolina SmartState Center for Healthcare Quality and the Big Data Health Science Center. He actively publishes in journals like Healthcare and Journal of the Association for Information Systems .

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