Find Academic Supervisors

• Human-AI Interaction
• AI for Social Good
• Emerging Technology Education
• +7 more

Yu Chen is an Associate Professor in the School of Information Systems and Technology at San José State University’s Lucas College and Graduate School of Business. She holds a PhD in Computer and Communication Sciences from the Swiss Federal Institute of Technology at Lausanne (EPFL), and has held postdoctoral positions at the University of California, Irvine. Her work bridges human-computer interaction, AI, and social impact, with a strong focus on education and inclusive innovation. PhD, Computer and Communication, EPFL, Switzerland MS, Security and Mobile Computing, Aalto University, Finland MS, Security and Mobile Computing, Norwegian University of Science and Technology (NTNU), Norway BE, Information Security, Huazhong University of Science and Technology (HUST), China Her research centers on human-AI interaction , AI for social good , emerging technology education , and health informatics . She is particularly interested in how chat-based interfaces can support student success, career advising, and community problem-solving. She emphasizes design thinking, empathy, and interdisciplinary collaboration in her pedagogy. Her recent publications span AI education, chatbot design, inclusive learning, and ethical AI. A recurring theme is the use of conversational agents to empower students and address societal challenges such as food insecurity, housing, and mental health. The research demonstrates a strong commitment to experiential learning and real-world impact. Collaborative Research: Broadening Inclusive Participation in AI Undergraduate Education (NSF) Girls in AI: AI Education for K-12 Girls (SJSU RSCA) Innovation Farm: AI-Powered Social Innovation (SJSU CEP) AI Counselors and Tutors for Student Development (SJSU RSCA) Yu Chen has received numerous honors, including the SJSU College of Business Distinguished Undergraduate Teaching Award (2024), multiple Master Teacher Awards, and recognition for research excellence at AMCIS and ICIS. She was also awarded the Erasmus Mundus Scholarship and a Swiss National Science Foundation fellowship. She actively mentors undergraduate students in research, many of whom have co-authored peer-reviewed publications and won awards in student competitions. Her lab, the AI for Social Good initiative, fosters a collaborative, student-driven environment where interdisciplinary teams prototype AI solutions for community challenges. She advocates for trust in students, no-code tools, and education that is relevant, creative, and socially responsible.

Christine CurrieView profile

Professor

• Operational Research
• Simulation Optimisation
• Healthcare Management
• +9 more

Professor Christine Currie is a Professor of Operational Research within the School of Mathematical Sciences at the University of Southampton. She is a Fellow of the Alan Turing Institute and previously served as Director of the Centre for Operational Research, Management Science and Information Systems (CORMSIS). Her research is primarily funded by EPSRC and spans healthcare, disaster relief, and pricing optimisation. Research Interests: Simulation Optimisation Healthcare Management Decision Making Under Uncertainty Disaster Relief Logistics Optimal Pricing and Revenue Management Her recent work focuses on real-time simulation for emergency departments, infectious disease modelling, patient flow optimisation, food relief procurement in Indonesia, and robust pricing models in transportation and leisure sectors. The trend in her publications shows a strong emphasis on applied operational research with societal impact, particularly in digital twin integration and stochastic optimisation under uncertainty. Scientific Awards: Companion of Operational Research (2024) Professor Currie actively supervises PhD students and has secured multiple research grants, primarily from EPSRC. She has led projects such as 'Dial-a-Ride', 'CREST-OR', and 'Designing a resilient food supply network for natural disasters in West Java, Indonesia'. She also collaborates with external organisations and has supervised student projects with industry partners. Leadership and Editorial Roles: Editor-in-Chief, Journal of Simulation (2015–2024) Member, Editorial Board, Royal Society Open Science (2021–present) Co-chair, OR63 National Operational Research Conference (2021) Member, Operational Research Society Research Panel She is actively involved in the operational research community and leads interdisciplinary research teams including the Operational Research group, Institute for Life Sciences, CORMSIS, and the Centre for Healthcare Analytics.

Shahrokh ValaeeView profile

Professor

• Wireless Networks
• Signal Processing
• Vehicular Networks
• +4 more

Shahrokh Valaee is a Professor and Associate Chair for Undergraduate Studies in the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto, part of the Faculty of Applied Science and Engineering. He founded and directs the Wireless and Internet Research Laboratory (WIRLab). Education: BSc and MSc in Electrical Engineering from University of Tehran PhD in Electrical Engineering from McGill University Research Interests: Focuses on wireless networks (vehicular/sensor networks, B5G/6G), signal processing (indoor localization, machine learning for medical imaging), and integrated sensing/communication. His work spans: Localization in GPS-denied environments Machine learning for healthcare with limited/imbalanced data Reconfigurable Intelligent Surfaces (RIS) and drone networks Publications: Recent articles (2014-2016) show strong focus on indoor localization techniques, vehicular network protocols, and network coding, with emerging trends in machine learning applications for wireless systems and healthcare. Awards: Connaught Award (2012, 2013) NSERC Discovery Accelerator Award (2010) MaRS Innovations cPOP Award (2012) IEEE Fellow (FIEEE) Engineering Institute of Canada Fellow (FEIC) Leadership: Advises graduate students at WIRLab, where research combines theory with practical implementation (GPU-based ML, Android localization). Manages projects in integrated sensing/communication, ML for health, and B5G networks. Labs/Teams: Directs WIRLab with focus on wireless signal processing, networking, and ML implementations. Current team includes postdocs and PhD students working on localization, B5G networks, and medical ML applications.

Hamish van der VenView profile

Assistant Professor

• Sustainable Business Management
• Eco-Labeling
• Transnational Environmental Governance
• +2 more

Hamish van der Ven is an Assistant Professor of Sustainable Business Management of Natural Resources at the University of British Columbia (UBC) within the Department of Wood Science and Faculty of Forestry. He leads the Business, Sustainability and Technology Lab and maintains affiliations with the Environmental Governance Lab at the University of Toronto, the Earth System Governance Project, and the United Nations Forum on Sustainability Standards. PhD in Political Science from University of Toronto Previous roles at McGill University and Yale University Research focuses on sustainable supply chain governance, eco-labeling, transnational environmental governance, corporate social responsibility, and digital technology impacts His recent work analyzes indirect climate impacts of generative AI and social media, transparency mechanisms in fast fashion, stakeholder influence on sustainability standards, and governance dynamics in buyer-driven supply chains. His 2019 book Beyond Greenwash? Explaining Credibility in Transnational Eco-Labeling (Oxford University Press) critiques eco-labeling efficacy. Van der Ven's research has been funded by grants including SSHRC Insight Grant (2025-2030), SSHRC Explore Grant (2023), SSHRC IDG Grant (2021-2023), FRQSC Collaborative Grant (2018-2021), and SSHRC Postdoctoral Fellowship (2016-2017). He examines both broad trends in global environmental governance and specific case studies across agriculture, aquaculture, and retail sectors.

• Computational Materials Science
• Strongly Correlated Electron Systems
• Quantum Materials
• +9 more

Erik Koch is an apl. Prof. Dr. (Associate Professor) and head of the Research Group Computational Materials Science at the Institute for Advanced Simulation (IAS) , Jülich Supercomputing Centre (JSC) , within Forschungszentrum Jülich , Germany. His research is part of the Helmholtz Program-oriented Funding (PoF IV) under 'Engineering Digital Futures', focusing on enabling computational- and data-intensive science and engineering. He is actively engaged in both research and teaching, leading a group dedicated to understanding quantum materials with strong electronic correlations. His research interests center on the theoretical and computational challenges of strongly correlated electron systems . He investigates phenomena such as orbital ordering , employing advanced numerical techniques including Lanczos diagonalization and analytic continuation . His group develops and applies methods to tackle the many-body problem, particularly using Dynamical Mean-Field Theory (DMFT) to bridge the gap between model systems and real materials, aiming to understand and design novel quantum materials with emergent functionalities. Prof. Koch is deeply involved in academic education. He teaches core and elective courses for the MSc in Simulation Sciences (MSc SiSc), including Applied Quantum Mechanics , Correlated Electrons , Density Functional Theory & Practice , and Solid State Theory . He is the primary organizer of the renowned annual Autumn School on Correlated Electrons , which has been a key international forum for over a decade, covering topics from Kondo physics to quantum topology and entanglement. This demonstrates his significant role in training the next generation of computational physicists. He has no listed scientific awards in the provided text. Prof. Koch leads the Computational Materials Science research group, which collaborates with the Strongly Correlated Systems group at PGI-2/IAS-3. His work is fundamentally tied to the high-performance computing resources at the Jülich Supercomputing Centre, utilizing massively parallel simulations. While specific grants are not mentioned, his research is funded through the Helmholtz Association's Program-oriented Funding. The group's research area is focused on using analytical methods and large-scale simulations to understand and design quantum materials with strong electronic correlations.

Tim RogersView profile

Professor

• Stochastic Processes
• Random Matrix Theory
• Collective Behavior
• +4 more

Professor Tim Rogers is affiliated with the University of Bath as a faculty member in the Department of Mathematical Sciences . He is actively involved in research spanning complex systems, network theory, and stochastic processes. PhD in Random Matrix Theory from King's College London (2010) His research focuses on emergent behavior in random systems , including: Collective Behavior : Crowd dynamics, lane formation, and noise-enhanced synchronization Epidemics & Networks : Spread prediction, node risk assessment, and misinformation impacts Ecology & Evolution : Trait emergence, species boundaries, and demographic noise effects Random Matrix Theory : Spectral analysis and applications to complex systems Publication trends reflect interdisciplinary work bridging Physics, Biology, and Mathematics , with a focus on network structures , stochastic modeling , and emergence phenomena . Scientific awards include: 2015 : Editor's Choice for Europhys. Lett. 109, 28005 2016 : Highlight of Journal of Physics A 2017 : Editor's Suggestion for Phys. Rev. E 92, 032708 He has supervised numerous PhD students and postdocs on projects related to stochastic dynamics , network modeling , and mathematical biology , with ongoing grants from agencies like EPSRC and The Leverhulme Trust .

Sherif KhattabView profile

Academic

• Cybersecurity
• Cloud Computing
• Internet of Things
• +3 more

Sherif Khattab is a Teaching Assistant Professor in the Department of Computer Science at the University of Pittsburgh's School of Computing and Information. With a Ph.D. in Computer Science from the University of Pittsburgh (2008), he brings extensive expertise in cybersecurity systems with applications across cloud computing, Internet of Things, electronic voting, and Big Data security. His research focuses on the systems aspects of cybersecurity, maintaining an h-index of 16 (Google Scholar) and 10 (Scopus) with over 60 publications. Khattab has successfully supervised more than 15 graduate students throughout his academic career. Prior to his position at Pitt, he served as an Associate Professor at Cairo University's Department of Computer Science, Faculty of Computers and Information. Professor Khattab teaches numerous undergraduate and graduate courses, with particular emphasis on hands-on ethical hacking and security education. His current teaching portfolio includes Algorithms and Data Structures (CS 0445) and Network Security (CS 1653), with extensive experience teaching operating systems, formal methods, and computer networks across multiple semesters. His research publications reveal consistent focus on practical security solutions for emerging technologies, with recent work addressing IoT security frameworks, blockchain-based voting systems, and cloud security challenges. The publication trend shows increasing emphasis on practical implementation aspects alongside theoretical security models. With industry experience from internships at Google Inc., Ericsson Data Networks, and Bosch Research, Khattab bridges academic research with real-world security challenges. His educational background includes a Bachelor's in Computer Engineering from Cairo University (1998) and both M.Sc. and Ph.D. in Computer Science from the University of Pittsburgh (2004 and 2008).

Edwin RomeijnView profile

Professor

• Optimization Theory
• Radiation Therapy Treatment Planning
• Supply Chain Management
• +2 more

Edwin Romeijn holds the Jill Stewart Archer Family Chair and Professor position in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. He served as School Chair from 2015-2024, overseeing the nation's top-ranked industrial engineering program. Previously, he held faculty positions at the University of Michigan, University of Florida, and Erasmus University Rotterdam, and served as Program Director at the National Science Foundation. Education: Ph.D. in Operations Research (1992), Erasmus University Rotterdam M.S. in Econometrics (1988), Erasmus University Rotterdam Romeijn's research centers on optimization theory and applications , with dual focus areas in radiation therapy treatment planning and supply chain management . His radiation therapy work develops algorithms for cancer treatment planning and clinic scheduling, while his supply chain research addresses integrated optimization of production, inventory, and transportation under demand flexibility, resource constraints, perishability, and uncertainty. His methodologies bridge theoretical operations research with real-world healthcare and logistics systems. His publication portfolio demonstrates consistent contributions to optimization methods across diverse application domains, with recent work spanning healthcare systems, renewable energy, sports analytics, and unconventional logistics. The research exhibits strong methodological continuity in stochastic programming, network optimization, and decision-making under uncertainty. Scientific Awards: Fellow of IISE and INFORMS (2017) Richard C. Wilson Faculty Scholar (2012-2013) Multiple best paper awards in industrial engineering conferences Pierskalla Best Paper Award (2003) Young Investigator’s Award at ICCR (2004) Romeijn has advised numerous graduate students and secured significant research funding through NSF and other agencies. His leadership extends to program direction at NSF and chairing Georgia Tech's Industrial and Systems Engineering school. He maintains active collaborations with healthcare institutions and manufacturing enterprises, translating theoretical advances into practical solutions for radiation oncology and supply chain resilience.

• Emotion in Information Systems
• Cognitive Aspects of Technology
• Ethics in Information Systems
• +5 more

Jeffrey K. Mullins is an Assistant Professor in the Department of Information Systems at the Sam M. Walton College of Business, University of Arkansas. His research explores the intersection of emotion, cognition, and ethics in information systems, with a focus on how digital technologies blur boundaries between work and play through gamification and metaverse development. Ph.D. in Information Systems, University of Arkansas Director of Ph.D. Program, Walton College Research interests span: Emotion and cognition in digital environments Ethics of biometric and gamification technologies Metaverse development and Web3 transitions Work-life convergence in IS-enabled contexts His publications in MIS Quarterly , Journal of Business Ethics , and Journal of the Association for Information Systems reflect these themes. Recent work examines AI biometrics policy and immersive learning applications. 2024 Walton College Executive MBA Teacher of the Year 2020 ACM SIGMIS Doctoral Dissertation Award 2016 Outstanding Lecturer Award With over a decade of IT experience at a Fortune 100 firm, he teaches graduate courses in IT management and multivariate analysis while maintaining certifications like ERPsim Level 2 Training.

Emily BlackView profile

Professor

• Climate change
• Climatology
• Precipitation
• +7 more

Dr. Emily Black is a Professor of terrestrial processes and climate at the University of Reading's Department of Meteorology, where she serves as research division lead for Earth Observation and Space and is a senior scientist at the National Centre for Atmospheric Science (NCAS). She leads the TAMSAT programme (Tropical Applications of Meteorology using SATellite data and ground-based observations), which provides real-time rainfall products and soil moisture forecasts to stakeholders across Africa through the TAMSAT-ALERT system. Her work bridges fundamental climate science with practical applications for climate risk management, particularly in vulnerable African communities. Dr. Black's research focuses on the hydrological cycle and its associated hazards, land-atmosphere interactions and their impact on climate, African climate and rainfall monitoring, and soil moisture monitoring and forecasting. She has established herself as a leading expert in African climate systems, with particular expertise in understanding rainfall patterns, drought mechanisms, and the development of forecasting tools that translate scientific knowledge into actionable information for decision-makers. Her work combines observational analysis, modeling approaches, and direct engagement with stakeholders to ensure scientific outputs address real-world needs. Analysis of Dr. Black's recent publications reveals a strong focus on the practical application of climate science for risk management, particularly through the TAMSAT-ALERT system. Her work spans multiple disciplines including climatology, hydrology, meteorology, and agricultural science, with consistent emphasis on African contexts. The research shows evolving sophistication in forecasting techniques, moving from basic rainfall monitoring to integrated systems that predict soil moisture, agricultural impacts, and drought risks. A notable trend is the increasing integration of user needs into scientific development, reflecting her commitment to user-driven science and knowledge exchange. Dr. Black has built an extensive collaborative network across institutions globally, with frequent co-authors including Richard P. Allan, Tristan Quaife, Brian J. Hoskins, Pier Luigi Vidale, and Julia Slingo, all from the University of Reading. Her work has been cited by numerous leading climate scientists worldwide, demonstrating her significant impact on the field. She has secured funding for multiple projects focused on climate monitoring, forecasting, and risk management in Africa, with particular emphasis on agricultural applications and drought resilience. As leader of the TAMSAT programme, Dr. Black oversees a team that combines satellite data analysis, ground-based observations, and modeling expertise to develop climate services specifically tailored for African contexts. The TAMSAT-ALERT system represents a major advancement in seasonal forecasting capabilities for the continent, providing critical information for agricultural planning and disaster risk management. Her team's work has evolved from basic rainfall monitoring to integrated systems that predict soil moisture, crop conditions, and drought risks, demonstrating continuous innovation in climate service development.

Grigorios KyriakopoulosView profile

Researcher

• Engineering
• Environment
• Energy
• +12 more

Dr. Grigorios L. Kyriakopoulos (National Technical University of Athens, School of Electrical and Computer Engineering) is a multidisciplinary academic with 25+ years of teaching experience at NTUA and 10+ years across institutions like the Naval Academy and Athens School of Pedagogical and Technological Education. Holding dual PhDs in Low Carbon Economy and Chemical Engineering, he has 22 academic qualifications spanning Environmental Design, Energy, Theology, and Mental Health Counselling. PhD: Low Carbon Economy (Democritus University of Thrace, 2022) PhD: Chemical Engineering (NTUA, 2005) MSc: Environmental Design of Cities & Buildings (Hellenic Open University, 2018) MSc: Energy (Heriot-Watt University, 2017) MA: Orthodox Theology (Hellenic Open University, 2016) As a Researcher at NTUA, his work bridges Engineering, Energy, and Environmental Economics , with 134 publications, 2160 peer-reviewed papers reviewed, and 6700+ manuscript evaluations. He ranks in the World's Top 2% of Highly Cited Scientists (Stanford University, 2020-2023) and received the Sentinels of Science Award (2016) . His editorial roles include Frontiers in Environmental Science and PLOS ONE , while leading special issues on Microplastics Pollution and Digital Transformation Sustainability . Key research themes include Circular Economy , Renewable Energy Systems , and Behavioral Ecology , with empirical work on Wastewater Reuse and Climate Neutrality implementation. His 17833 citations (Scopus top-250 papers) reflect global impact, particularly in Energy Policy and Environmental Systems . Conference participation spans 500+ reviews at events like NEFES and DTI , with leadership in SMART-ICAE 2018 and NEFES 2022 .

Vishal SachdevView profile

Associate Clinical Professor

• Technology and Collective Action
• Cooperative Production
• Gamification of Education
• +7 more

Vishal Sachdev is a Clinical Associate Professor of Business Administration at the University of Illinois at Urbana-Champaign's Gies College of Business. He serves as Director of the MS Analytics program, Director of Illinois MakerLab, and DPI Faculty in Residence. His academic roles span teaching, research, and leadership in educational technology and innovation. Education: B.A. in Mathematics, St. Stephen's College, New Delhi (1993) M.S. in International Business, Indian Institute of Foreign Trade (1996) Ph.D. in Information Systems, University of Texas at Arlington (2007) Research Interests: Dr. Sachdev focuses on technology's role in enabling collective action, cooperative production, and gamification in education. His work explores blockchain-based DAOs, 3D printing in educational settings, and the intersection of Web3 with decentralized business models. He emphasizes scalable peer-learning environments and online/blended education frameworks. Awards: Emerging Award for Excellence in Public Engagement (UIUC) List of Excellent Teachers (UIUC, multiple years) Research Excellence Award (Gies BADM, 2023) Grants & Labs: He leads Illinois MakerLab, a pioneering academic makerspace. Notable grants include Blockchain Analytics (Gies, 2023-2025), US Competitiveness in Web3 (Solana Foundation, 2022-2024), and Autodesk grants for Fusion 360 workshops. His work bridges technology, education, and innovation through applied research. Courses: Teaches courses like Blockchain Analytics, Database Design, and Digital Making Seminar, emphasizing hands-on, industry-relevant learning.

• Distributed control
• Autonomy and Control
• Aerospace Systems
• +6 more

Dengfeng Sun is a Professor and Associate Head of the Gambaro Graduate Program in the School of Aeronautics and Astronautics at Purdue University. His research focuses on distributed control systems, autonomy, resilient networks, and air traffic management. Sun holds a B.Eng. from Tsinghua University, an M.S. from The Ohio State University, and a Ph.D. from UC Berkeley. His work spans advanced air mobility, UAV trajectory planning, and stochastic optimization for large-scale systems. Key contributions include resilient UAV traffic control, distributed state estimation algorithms, and fault detection methods for navigation systems. Sun's research has been published in top journals like IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part E. Education: B.Eng., Tsinghua University (2000) M.S., Ohio State University (2002) Ph.D., UC Berkeley (2008) He advises on cutting-edge projects integrating robotics, autonomous systems, and cloud-based traffic modeling. His lab develops solutions for urban air mobility, emergency medical UAV networks, and next-generation air traffic control systems. Notable collaborations include work with NASA and industry partners on continuous descent approach procedures and metroplex routing paradigms. Sun's work bridges theoretical control systems with practical applications in aviation and infrastructure optimization.

John BaslView profile

Associate Professor

• Applied Ethics
• AI Ethics
• Machine Learning Ethics
• +3 more

John Basl is an Associate Professor of Philosophy at Northeastern University and Associate Director of the Northeastern Ethics Institute, where he leads initiatives in AI and data ethics. He holds affiliate roles at Khoury College of Computer Science, the Institute for Experiential AI, and Harvard's Edmond and Lily Safra Center for Ethics. His research focuses on applied ethics, particularly in AI, machine learning, data ethics, and environmental ethics. He is the author of The Death of the Ethic of Life (Oxford UP) and has contributed to interdisciplinary projects on AI governance, including the NSF-funded AI & Data Ethics (AIDE) Graduate Training Program and the National Internet Observatory. His work explores ethical challenges posed by emerging technologies, such as moral obligations to AI systems, transparency in automated decision-making, and the ethical implications of autonomous vehicles. Basl’s research also engages with environmental ethics, addressing questions about species partiality, ecological justice, and the moral status of non-human entities. He actively collaborates with technologists, policymakers, and ethicists to ensure ethical considerations are integrated into technological development. His media engagements include talks on AI ethics at institutions like the University of Toronto and the Web Summit, and articles in outlets like Aeon Magazine. Current projects include grants focused on training the next generation of AI ethics scholars and analyzing the societal impacts of generative AI. Basl advocates for accessible, interdisciplinary approaches to ethics in technology, emphasizing practical solutions to real-world challenges.

• Data mining and knowledge discovery
• Data engineering and data science
• Data quality
• +17 more

Prof. Ping Yu is a Professor at the University of Wollongong's School of Computing and Information Technology, where she has held leadership roles such as Director of the Centre for Digital Transformation (2013–2020). Her work focuses on digital health, health informatics, and data-driven solutions for aged care, with collaborations involving the World Health Organization (WHO), NSW Health, and over 11 aged care providers. She has pioneered projects like the WHO’s eSTEPS platform and AI-driven analytics to optimize healthcare resources. Her research integrates socio-technical perspectives to address challenges in technology adoption and healthcare system improvements. Her research interests span data engineering, data quality, ontology development, and generative AI applications in healthcare. Key areas include extracting insights from unstructured health records, improving clinical decision-making, and enhancing patient outcomes through mHealth and telemedicine innovations. She also explores the impact of green spaces on healthy aging and disparities in healthcare access across regions. Prof. Yu has secured over $4.5 million in research funding, including significant grants from the Australian Research Council. She has mentored 29 postgraduate students to completion, emphasizing interdisciplinary research and practical implementation. Her awards include the prestigious 2022 Telstra Brilliant Women in Digital Health Award and the 2008 Don Walker Award for contributions to health informatics. Her advising and grants narrative highlights her role as a mentor and her success in securing competitive funding. Her work bridges academia and industry, with projects like improving pressure injury risk management in aged care using EHRs and analyzing agitation in dementia through AI. She contributes to education policy, including co-designing academic leadership programs and enhancing clinical informatics curricula in the AI era. Prof. Yu leads multi-disciplinary teams at UOW and collaborates with global institutions, focusing on labs and initiatives like the Appendicectomy Surgical Pathway Ontology (ASPO) and the 6A framework for hypertension management via mHealth. Her research emphasizes real-world impact, from reducing hospital readmissions to optimizing surgical workflows and improving public health communication strategies during crises.