Find Academic Supervisors

• Journalism and Communication
• Intelligent Communication
• Digital Media Art
• +6 more

Wang Jianmin serves as Professor and Doctoral Supervisor at Tongji University's School of Art and Media, concurrently holding the position of Vice Dean since 2014. With a computer science PhD from Sun Yat-sen University, he bridges engineering and media arts through pioneering research in intelligent communication systems and digital media interfaces. His work focuses on human-centered design for emerging technologies, particularly in automotive and virtual environments. His academic foundation includes: PhD in Engineering (Computer Software and Theory), Sun Yat-sen University (2003) Master's in Computational Mathematics, Sun Yat-sen University (1999) Bachelor's in Computational Mathematics, Nankai University (1996) Professor Wang's research centers on intelligent communication systems and digital media art, with significant contributions to automotive human-machine interfaces (HMI), virtual reality applications, and user experience methodologies. His investigations into driver-robot transparency, augmented reality navigation, and mixed-reality educational platforms demonstrate interdisciplinary innovation connecting computer science, cognitive psychology, and design theory. Current projects explore AI-driven media systems for urban environments and safety-critical interaction frameworks. Analysis of his recent publications reveals a cohesive research trajectory focusing on automotive HMI (40% of output), human-robot interaction (30%), and mixed reality applications (30%). His work consistently emphasizes experimental validation through driving simulators and user studies, yielding practical design guidelines for industry implementation. The interdisciplinary nature spans computer science, cognitive ergonomics, and media studies, with increasing emphasis on AI integration in communication systems. His scientific recognition includes national and provincial awards for innovation in human-computer interaction and educational technology: 2019 China Industry-University-Research Innovation Award for automotive HMI systems 2020 China User Experience Alliance Excellence Award 2012 Guangdong Dingying Science and Technology Award Multiple national/provincial science progress awards (2001-2009) 2020 Tongji University Teaching Achievement Award for curriculum development As an educator, Professor Wang mentors graduate students in national design competitions including the 'Core Cup' Future Automotive HMI Challenge and International User Experience Innovation Competition. His research program is supported by substantial funding from diverse sources: National Grants: National Natural Science Foundation projects on driver behavior modeling and cognitive testing Ministry of Education: 15+产学合作 projects for virtual simulation labs and curriculum development Shanghai Municipal: Publicity Department funding for smart city media research Industry Partnerships: Huawei (intelligent vehicle HMI), SAIC Motor (AR-HUD design), and automotive electronics firms He directs Tongji's Media Experiment and Practice Teaching Center and the All-Media Research Institute, leading teams developing virtual simulation platforms for emergency news reporting, intelligent vehicle interaction testing systems, and mixed reality educational tools. Current initiatives focus on AI-enhanced media art for urban applications and next-generation HMI frameworks for autonomous mobility solutions.

Joyoung LeeView profile

Associate Professor

• Connected Vehicle (CV) Systems
• Traffic Management
• Autonomous Vehicle Control
• +5 more

Dr. Joyoung Lee is an Associate Professor in the Department of Civil and Environmental Engineering at New Jersey Institute of Technology (NJIT). He previously served as Laboratory Manager at the Federal Highway Administration's Saxton Transportation Operations Laboratory. His research focuses on Connected Vehicle (CV) systems, including applications in traffic management, signal control optimization, and autonomous vehicle infrastructure integration. Dr. Lee holds a Ph.D. (2010) and M.S. (2007) in Transportation Engineering from the University of Virginia, and a B.S. (2000) in Transportation Engineering from Hanyang University. His work emphasizes CV-based solutions for real-time traffic systems, cooperative vehicle-infrastructure systems (CVIS), and autonomous vehicle integration. Notable achievements include the 2019 IEEE CAVS Best Paper Award and multiple best paper recognitions from PTV User Group Meetings. His research also addresses traffic safety through innovations like the Virtual Guide Dog system for visually impaired pedestrians and advanced traffic monitoring frameworks using LiDAR and computer vision. Education: Ph.D., Transportation Engineering, University of Virginia (2010) M.S., Transportation Engineering, University of Virginia (2007) B.S., Transportation Engineering, Hanyang University (2000) Dr. Lee's research interests span smart city infrastructure, edge computing for traffic systems, and sustainable transportation solutions. He has pioneered algorithms for cooperative intersection management, automated platooning systems, and federated learning-based traffic optimization. His work bridges theoretical models with real-world implementation through partnerships with FHWA and industry stakeholders. Key contributions include development of the Cumulative Travel-Time Responsive (CTR) traffic signal control system, smart arrival notification systems for paratransit services, and advanced microsimulation calibration techniques. His lab focuses on translating CV data into actionable strategies for safer, more efficient transportation networks. Awards: IEEE CAVS Best Paper Award (2019) ASCE Grand Challenge Innovation Contest Honorable Mention (2017) PTV VISSIM Best Paper Awards (2012, 2008) Excellence in Research Award (University of Virginia, 2011) Ongoing projects include semi-decentralized graph neural networks for traffic forecasting and low-cost LiDAR-based traffic monitoring systems. His work addresses critical challenges in autonomous vehicle integration, incident management, and infrastructure resilience through interdisciplinary collaborations.

• Software Architecture
• Microservices
• Cloud Computing
• +7 more

Uwe Zdun is a Professor at the Faculty of Computer Science, University of Vienna, where he serves as Vice-Director of Studies for Computer Science and Head of the Research Group Software Architecture. His teaching portfolio includes core courses such as Software Engineering 2, Advanced Software Engineering, and Practical Software Courses for Bachelor's and Master's theses across multiple semesters (2024W-2025S). His research spans software architecture with emphasis on microservices, cloud computing, and DevOps. Key focus areas include architectural design decisions, infrastructure-as-code conformance, security in distributed systems, and the integration of machine learning operations (MLOps/RLOps). He investigates cognitive aspects of architecture practices through controlled experiments and develops model-driven approaches for quality assessment in complex systems. Recent publications (2024-2026) reveal three dominant trends: (1) Security and coupling analysis in infrastructure-as-code deployments, (2) MLOps/RLOps integration for Industry 4.0 cyber-physical systems, and (3) Performance optimization patterns for CI/CD pipelines and autoscaling. His work bridges theoretical architecture models with industrial practice, particularly in microservice ecosystems and reinforcement learning applications. Professor Zdun leads the Research Group Software Architecture at the University of Vienna's Faculty of Computer Science. The group focuses on empirical validation of architectural patterns, tool development for conformance checking, and advancing design decision methodologies in cloud-native and AI-driven systems.

Mona MensmannView profile

Associate Professor

• Innovation Management
• Entrepreneurship
• Psychology of Entrepreneurship
• +5 more

Prof. Dr. Mona Mensmann is an Associate Professor of Innovation Management and Entrepreneurship at the University of Cologne , School of Business and Social Sciences. Her research bridges entrepreneurship with psychology, focusing on entrepreneurial mindset, proactive behavior, and training curricula. Current: Associate Professor (W2), University of Cologne (2021–) Previous: Associate/Assistant Professor at Warwick Business School (2018–2021) Education: PhD in Psychology, Leuphana University (2013–2017); MSc in Psychology, University of Heidelberg (2011–2013) Mensmann’s research explores the psychological foundations of entrepreneurship, including the impact of cognitive traits (e.g., ADHD, need for cognition) on entrepreneurial intentions and outcomes. She emphasizes personal initiative training as a tool for poverty reduction and sustainable business development, particularly in West Africa and developing economies. Her publications span peer-reviewed journals like Entrepreneurship Theory and Practice and Science , focusing on topics such as sleep quality’s influence on founders, training program effectiveness, and lifespan entrepreneurship. She has also contributed to academic book chapters and conference proceedings.

Majid GhaderiView profile

Professor

• Network Algorithms
• Secure Communication
• Machine Learning in Network Control
• +3 more

Majid Ghaderi is a Professor in the Department of Computer Science at the University of Calgary, Faculty of Science. His expertise spans network algorithms, secure communication, and machine learning applications in network control. He holds a Ph.D. in Computer Science from the University of Waterloo (2006), and M.Sc. and B.Sc. degrees in Software Engineering from Sharif University of Technology (2001 and 1999). Education: Ph.D. Computer Science, University of Waterloo, 2006 M.Sc. Software Engineering, Sharif University of Technology, 2001 B.Sc. Software Engineering, Sharif University of Technology, 1999 Research Interests: Dr. Ghaderi focuses on optimizing network algorithms, securing communication in distributed systems, and leveraging machine learning for network control. His work addresses challenges such as secure wireless protocols, SDN-based network management, and efficient resource allocation in data centers. He explores proactive traffic scheduling and anomaly detection in critical infrastructures like industrial control systems and vehicular networks. Publications Trends: His recent work emphasizes covert communication in heterogeneous networks, adaptive federated learning in edge environments, and low-overhead diagnostic systems for cloud networks. He also investigates cybersecurity defenses against hardware vulnerabilities and dynamic threat landscapes. Awards: Best in-session Presentation Award, IEEE INFOCOM 2018 Municipal Excellence Award, Government of Alberta 2018 Faculty of Science Excellence in Teaching Award 2012 Advising & Grants: While no specific advisees are listed, his research has been supported by grants focusing on network security, edge computing, and IoT applications. He teaches CPSC 441 (Computer Networks) and maintains an active lab focused on network systems and cybersecurity. Labs & Teams: His research group collaborates on projects involving software-defined networks, vehicular communication, and industrial IoT security. The team develops open-source tools for network monitoring and anomaly detection.

Aaron J. ChalfinView profile

Associate Professor

• Criminology
• Policing
• Place-Based Crime Prevention
• +5 more

Aaron J. Chalfin serves as Associate Professor and Graduate Chair of Criminology within the Department of Criminology at the University of Pennsylvania's College of Liberal and Professional Studies. He maintains significant external affiliations as a Senior Fellow at the Niskanen Center, faculty research fellow at the National Bureau of Economic Research, and research affiliate at the University of Chicago Crime Lab. His academic foundation includes: PhD in Public Policy, University of California, Berkeley (2013) MA in International and Development Economics, Yale University (2004) BS in Industrial & Labor Relations, Cornell University (2003) Chalfin's research program centers on policing economics, officer behavioral preferences, place-based crime prevention strategies, and victimization determinants. He concurrently advances methodological rigor in social science through innovations in measurement error correction, spatial crime concentration metrics, and administrative data linkage techniques. His empirical approach consistently bridges theoretical criminology with practical policy evaluation. Recent publications reveal evolving research trajectories across bias-motivated violence measurement during pandemics, low-cost gun violence interventions, racial disparities in traffic fatalities, and methodological improvements for policy analysis. This body of work demonstrates sustained commitment to evidence-based criminal justice solutions through experimental and quasi-experimental designs. His ongoing collaboration with the University of Chicago Crime Lab exemplifies integration between academic research and real-world crime laboratory operations, focusing on scalable public safety innovations.

Mark S. HoddleView profile

Professor

• Biological Control
• Invasive Species Management
• Entomology
• +3 more

Mark S. Hoddle is a Professor of Entomology and Biological Control Specialist at the University of California, Riverside (UCR), where he has headed research in his laboratory since 1997. He serves as the Director of the Center for Invasive Species Research and is a Principal Investigator focusing on biological control of invasive pests. His work bridges academic research with practical applications for California agriculture. Education: D.Sc. Zoology (2018), University of Auckland, New Zealand Ph.D. Entomology (1996), University of Massachusetts, Amherst M.S. Zoology (1991), University of Auckland, New Zealand B.S. Zoology (1988), University of Auckland, New Zealand Dr. Hoddle specializes in biological control, the intentional use of host-specific natural enemies to suppress pest populations. His research focuses on identifying pest problems amenable to biological control, locating and releasing natural enemies, and evaluating their impact on pest population growth. He works extensively with invasive species affecting California agriculture, particularly pests of citrus, avocado, palm trees, and other crops. His approach combines field evaluations with laboratory studies of pest and natural enemy biology and behavior. Analysis of Dr. Hoddle's recent publications reveals a strong focus on invasive species threatening California agriculture, particularly the Asian citrus psyllid, red palm weevil, and brown marmorated stink bug. His research integrates field and laboratory approaches, with emphasis on phenology modeling, natural enemy evaluation, and innovative control methods. Much of his work addresses the economic and ecological impacts of invasive pests on specialty crops. Scientific Awards: Entomological Society of America, Pacific Branch Entomology Team Leader Award (2023) UC-ANR Distinguished Service Award for Outstanding Research (2022) Fellow, Entomological Society of America (2018) California Department of Pesticide Regulations IPM Achievement Award for Asian Citrus Psyllid Biocontrol (2018) IOBC Distinguished Scientist of the Year (2015) Multiple awards from the Entomological Society of America (2007, 2012, 2013, 2014) Dr. Hoddle has mentored numerous students and researchers throughout his career, including postdoctoral scholars and specialists who contribute to his laboratory's work on invasive species. His research has been supported by various granting agencies, private institutions, and commodity boards, enabling extensive international projects focused on identifying and implementing biological control solutions for invasive pests. He has facilitated the Harry Scott Smith Scholarship Fund to support graduate students in biological control. Dr. Hoddle directs the Center for Invasive Species Research at UCR and leads a productive laboratory team that includes postdoctoral scholars, specialists, and students. The lab conducts research on multiple invasive species threatening California agriculture and natural ecosystems, with particular emphasis on citrus, avocado, and palm tree pests. Current projects include proactive biological control of the spotted lanternfly and research on invasive palm weevils, avocado pests, and other emerging threats.

Johnson Xuesong ShenView profile

Associate Professor

• Digital Twins
• Building Information Modeling (BIM)
• Construction Automation
• +5 more

Dr. Johnson Xuesong Shen is an Associate Professor at the School of Civil and Environmental Engineering , University of New South Wales . His work integrates Digital Twins , Building Information Modeling (BIM) , and Construction Automation with a focus on robotics, AI, and LiDAR/UAS technologies. Research Interests: Digital Twins, BIM, Construction Robotics, Emissions Modeling, LiDAR/UAS, Structural Health Monitoring Education: Ph.D. in Construction Engineering and Management, The Hong Kong Polytechnic University His publications span 2025–2005, emphasizing construction automation , environmental impact reduction , and innovative tunneling solutions . Recent work includes IoT-Bayes fusion for real-time safety monitoring and life cycle analysis of construction waste. Scientific Awards: Vice Chancellor's Award for Teaching Excellence, UNSW, 2014 Best PhD Student Paper Award, CONVR, UK, 2013 Postdoctoral Fellowship, University of Alberta, 2011-2013 Best Paper Award, ASCE Construction Research Congress, 2010 Dr. Shen mentors 9 PhD candidates in areas like 3D object detection , fuel consumption modeling , and UAV-based LiDAR . His grants include $5.98M from the Australian Research Council (2022–2027) for resilient infrastructure systems and projects on modular construction and intelligent tunneling .

Don B. RussellView profile

Professor

• Electric Power Engineering
• Power System Protection
• Control and Automation
• +5 more

Don B. Russell is a distinguished Professor of Electrical & Computer Engineering at Texas A&M University, holding the Harry E. Bovay, Jr. Chair and Regents Professor title. He is a member of the National Academy of Engineering and a Fellow of multiple professional organizations. His research focuses on power system automation, protection, and real-time diagnostics, with a strong emphasis on waveform analytics for fault detection and wildfire mitigation. Russell leads the internationally recognized Power System Automation Laboratory, supported by sponsors like the National Science Foundation and Texas A&M's Energy Resources Program. Educational Background: Ph.D., Electrical Engineering, University of Oklahoma (1975) M.E., Electrical Engineering, Texas A&M University (1971) B.S., Electrical Engineering, Texas A&M University (1970) Research Interests: Power system protection and control Incipient failure detection via waveform analysis Forensic engineering and wildfire prevention Engineering ethics and professionalism Smart grid technologies and automation Awards and Honors: IEEE Millennium Medal (2000) R&D 100 Award (Digital Feeder Monitor) Outstanding Engineering Achievement Award (NSPE) 6 Distinguished Achievement Award (Texas A&M) Grants and Sponsors: The lab collaborates with TXU Energy, NSF, ONR, and industry partners to advance power system reliability and safety. His work has led to commercialized technologies like high-impedance fault detection relays. Labs and Teams: The Power System Automation Lab specializes in real-time data capture and fault analysis, with global recognition for reducing wildfire risks and improving distribution network resilience.

Li HuiView profile

Professor

• Cryptographic Information Security
• Privacy Computing
• Information Theory
• +5 more

Professor Li Hui serves as the executive dean of the School of Network and Information Security at Xidian University, where he holds the position of second-level professor and doctoral supervisor. He is nationally recognized as a distinguished teacher and serves in multiple prestigious roles including member of the National Steering Committee for Postgraduate Education in Cryptography, inaugural president of ACM SIGSAC CHINA, and director of several major academic societies related to cryptography and information security. Professor Li's research spans cryptographic information security, privacy computing, information theory, and coding theory, with significant contributions to network and cyberspace security. His work demonstrates a strong focus on both theoretical foundations and practical applications, particularly in developing security protocols for emerging technologies like blockchain, federated learning systems, and IoT environments. His research output shows consistent innovation in balancing security requirements with computational efficiency across diverse application domains. With over 300 publications and more than 15,000 Google Scholar citations (H-index 60), Professor Li's scholarly impact is substantial. His recent publications demonstrate increasing emphasis on privacy-preserving machine learning, secure multi-party computation, and cryptographic protocols for distributed systems, reflecting the evolving security challenges in the AI era. Three second-class national teaching achievement awards Special prize and first-class national teaching achievement awards Four first-class provincial and ministerial science and technology progress awards Privacy Computing Theory award (Qian Weichang Chinese Information Processing Science and Technology Award) Multiple patents with over 80 granted inventions Professor Li leads the Cyber Changan Team and serves as head of the Shaanxi Provincial Innovation Team for Mobile Internet Security. He has successfully supervised numerous doctoral and master's students who have gone on to win prestigious competitions like the National College Student Information Security Competition. His research is supported by major national grants including a National Key R&D Program project and key projects from the National Natural Science Foundation of China.

Antonino VallesiView profile

Professor

• Neuroscience
• Cognitive Psychology
• Neuropsychology
• +3 more

Antonino Vallesi is a Full Professor in Neuropsychology and Cognitive Neuroscience at the University of Padua. He holds a master's degree in Psychology (University of Padua, 2003) and a PhD in Neuroscience (SISSA, Trieste, 2007). He has held roles as Assistant and Associate Professor at SISSA and the University of Padua before achieving his current rank. His research focuses on executive functions, cognitive aging, and temporal processing, employing neuroimaging, EEG, and experimental psychology methods. He has supervised over 10 PhD students, 13 postdocs, and 65 trainees. Education: PhD in Neuroscience, SISSA, Trieste (2007) Master's in Psychology, University of Padua (2003) Research Interests: The anatomo-functional organization of executive functions, cognitive aging, temporal processing, and neuropsychological methodologies. His work explores these areas through advanced techniques like EEG, neuroimaging, and neuromodulation. Awards: Bertelson Award (2011) Outstanding Young Person Award (2011) SIPF Prize (2017) ERC Starting Grant (2013) Advising & Grants: Supervisor of over 10 PhD students and 13 postdocs. Secured significant funding including an ERC grant. Involved in grant reviewing for EU programs (e.g., Horizon 2020) and international agencies. Labs & Teams: Leads the Executive Function Lab at the University of Padua, focusing on cognitive neuroscience and clinical applications.

Zhen Ming JiangView profile

Associate Professor

• Software Engineering
• Artificial Intelligence
• Computer Systems
• +6 more

Zhen Ming (Jack) Jiang is an Associate Professor and York Research Chair (Tier II) in Software Engineering for Foundation Model-Powered Systems at York University's Department of Electrical Engineering and Computer Science. His research bridges software engineering, artificial intelligence, and computer systems with significant industrial impact. Dr. Jiang earned his Ph.D. from Queen's University's School of Computing and MMath/BMath degrees from the University of Waterloo's David R. Cheriton School of Computer Science. During his doctoral studies, he collaborated with BlackBerry's Performance Engineering team, developing tools now used daily to monitor commercial software systems. His research focuses on engineering rigor for AI-powered applications , software engineering evolution in the Generative AI era , and performance optimization of large-scale systems . Key areas include software performance engineering, mining software repositories, debugging distributed systems, source code analysis, and software visualization. His work combines empirical studies with practical tool development. Recent publications reveal strong trends in applying AI to software engineering challenges, particularly in machine learning systems reliability, blockchain efficiency, and AIOps solutions. His research consistently emphasizes empirical validation using real-world systems and industrial case studies. Scientific recognition includes: York Research Chair (Tier II) in Software Engineering for Foundation Model-Powered Systems NSERC Discovery Accelerator Supplements (DAS), 2020 Best Paper Award at ICST 2016 IEEE Software Best SEIP Paper at ICSE 2015 Ph.D. Research Achievement Award at Queen's University Multiple best paper awards at WCRE, MSR, and ICSE Dr. Jiang actively supervises graduate students and has secured competitive research funding including NSERC grants. His service includes program committee roles for top conferences (ICSE, ASE, ICSME) and editorial work for leading journals (TSE, TOSEM, EMSE). He leads research initiatives focused on foundation model-powered systems, collaborating with industry partners on performance monitoring and debugging solutions for large-scale distributed environments.

• Security and Privacy
• Active Cyber Defense
• Security Analytics
• +6 more

J. Haadi Jafarian is an Assistant Professor in the Department of Computer Science and Engineering at the University of Colorado Denver, where he leads the Active Cyber and Infrastructure Defense (ACID) Lab. He earned his Ph.D. from the University of North Carolina Charlotte in 2017. Research Interests: Active Cyber Defense (Moving Target Defense, Cyber Deception) Big Data Analytics for Cyber Threat Intelligence Security for Cyber-Physical Systems & Critical Infrastructures Cyber Resilience and Automation Recent Publications highlight innovations in traffic obfuscation, adversarial machine learning, and deception-based threat detection. His work spans network security, cybersecurity analytics, and scalable defense frameworks. Teaching includes: CSCI 4743/5743: Cyber and Infrastructure Defense (Fall 2023) CSCI 4742/5742: Cyber Programming and Analysis (Spring 2023) CSCI 4741: Cybersecurity Principles (Spring 2022) CSCI 4800: Web Application Development (Spring 2021) CSCI 3761: Computer Networks (Spring 2020) Labs & Teams: The ACID Lab focuses on developing proactive cyber defense strategies, including moving target defense, deception techniques, and security analytics for critical infrastructure.

Yuko MunakataView profile

Professor

• Developmental Psychology
• Cognitive Neuroscience
• Executive Functions
• +5 more

Yuko Munakata is a Professor in the Department of Psychology at the University of California, Davis, and Director of the Cognition in Context Lab. She holds affiliations with the Center for Mind and Brain. Her education includes a PhD in Psychology from Carnegie Mellon University and dual BS/BA degrees in Symbolic Systems and Psychology from Stanford University. Her research integrates behavioral experiments, computational modeling, neuroimaging (ERP/fMRI), and cross-cultural studies to investigate how thinking varies across developmental stages and environmental/social contexts. Core interests include executive functions, developmental trajectories, cognitive control mechanisms, and interventions to enhance adaptive thinking. Her work highlights the role of cultural habits, social influences, and proactive control in shaping decision-making and self-regulation. Recent work explores the impact of environmental predictability on cognitive control development, the link between procrastination in adults/children, and the efficacy of executive function training programs. She advocates for contextual frameworks in understanding individual differences and educational inequality. Awards: American Psychological Association Boyd McCandless Early Career Award Outstanding Mentor Award (UC Boulder) Fellowships in Association for Psychological Science and APA Grants: NIH funding since 1998, supporting studies on child development and executive functions. Labs: Cognition in Context Lab (UC Davis), Center for Mind and Brain collaborations.

Axel MecklingerView profile

Professor

• Neurocognition of Memory and Language
• Executive Functions
• Spatiotemporal Brain Imaging
• +7 more

Prof. Dr. Axel Mecklinger is a leading cognitive neuroscientist at Saarland University , specializing in the neurocognition of memory and language through spatiotemporal brain imaging (EEG/MEG/fMRI). His career spans over three decades, with significant contributions to understanding visual working memory , associative recognition , and memory development . Key research areas: Memory binding, ERP subsequent memory effects, novelty detection, and cognitive aging Major grants: DFG Research Groups, Collaborative Research Centers, and international collaborations with the Chinese Academy of Sciences Scientific leadership: Organized conferences, edited journals, and served as speaker for research training groups His recent work explores unitization in memory formation , cross-cultural differences in memory processing , and theta neurofeedback interventions . Awards include the Early Career Award of the German Psychophysiology Society (1992) and the European Federation of Psychophysiology Societies' Federation Prize (1994). Current projects investigate the neural mechanisms of semantic surprisal and memory plasticity in aging populations.