Find Academic Supervisors

• Artificial Intelligence
• Knowledge Representation
• Automated Planning
• +5 more

Giuseppe De Giacomo is a Professor of Computer Science at the University of Oxford's Department of Computer Science and a Governing Body Fellow at Green Templeton College. Previously, he held a Professorship at the University of Roma 'La Sapienza'. His research focuses on Knowledge Representation, Automated Planning, Reactive Synthesis, and Formal Verification, with notable contributions to LTLf-based systems and service composition. He leads the ERC Advanced Grant project WhiteMech, exploring self-programming mechanisms. His research interests span Artificial Intelligence, including formal methods for autonomous systems, temporal logic synthesis, and multi-agent systems. He serves on the Board of EurAI and chairs the steering committee of ESSAI. Notable awards include AAAI Fellow, ACM Fellow, and EurAI Fellow. Recent work emphasizes LTLf extensions, environment specifications in planning, and resilient manufacturing via Markov Decision Processes. He advises students like Christoph Weinhuber and collaborates on projects such as Digital Twin Composition in Smart Manufacturing. His publications explore topics like LTLf synthesis under unreliable inputs, temporal abstraction in planning, and ethical responsibility attribution in autonomous systems. Professional service includes Program Chair roles for ECAI 2020 and KR 2014, and contributions to conferences like IJCAI and ICAPS. His research bridges theoretical foundations with practical applications in AI and formal verification.

• Knowledge Management
• Innovation Management
• Entrepreneurship
• +8 more

Dr. Evangelos Markopoulos is a Lecturer at the University College London School of Management, specializing in Knowledge & Innovation Management, Entrepreneurship, and Futuristic Interactive Technologies. He holds a PhD in MIS Project Management and has extensive industry experience with IBM, Siemens, and Bell Labs. His research focuses on integrating Digital Twins, Metaverse Applications, and ESG Compliance into organizational strategies. He has published 120+ papers and authored a book on Innovative Organizational Cultures. Notable achievements include a Clinton commendation and two Global Social Innovation Awards (HultPrize). His teaching emphasizes real-world industry collaboration through internships and competitions. Education: BSc Computer Science → MSc Computer Science/Artificial Intelligence → PhD MIS Project Management. He has taught at QMUL, UCL, Essex, and others. Research interests span Digital Transformation, Sustainable Leadership, and Gamification in Education. Current projects include VR safety training for maritime sectors and democratic innovation frameworks. Key Research Themes: ESG-SDGs Alignment, Metaverse in Maritime Training, Democratic Organizational Culture Student Impact: Mentored teams to global awards in social innovation Industry Collaboration: Founder of companies in Project Management, Enterprise Engineering, and Innovation Apps

• Computational Materials Science
• Defect Properties
• Mechanical Behavior of Materials
• +3 more

Dallas Trinkle is the Ivan Racheff Professor and Associate Head of the Department of Materials Science and Engineering at the University of Illinois, Urbana-Champaign. He holds a Ph.D. in Physics from Ohio State University (2003) and joined UIUC's faculty in 2006 after postdoctoral work at the Air Force Research Laboratory. Affiliations: Willett Faculty Scholar, NCSA Faculty Fellow, Center for Advanced Study Associate. Research Focus: Computational materials science, including defect properties (dislocations, point defects), mechanical behavior at atomic scales, and diffusion mechanisms using density-functional theory and machine learning. Key Achievements: NSF CAREER Award (2009), TMS Brimacombe Medal (2019), and over 150 peer-reviewed publications. His research group develops atomistic methods to study material defects and their impact on mechanical/thermal properties. Projects include magnesium alloy strengthening, hydrogen diffusion in palladium, and oxygen diffusion in titanium. They also create open-source computational tools like the magnesium solute database. Teaching: Courses on atomic-scale simulations, plasticity, and computational materials engineering (MSE 485, MSE 584, CSE 498 DM). Current Group:** Includes 7 Ph.D. students and a research scientist. Former advisees hold roles at institutions like MIT, Lawrence Berkeley Lab, and industry leaders such as MathWorks and General Motors.

Justus BognerView profile

Assistant Professor

• Microservices
• Artificial Intelligence
• Software Engineering
• +3 more

Justus Bogner is an Assistant Professor at the Faculty of Science, Vrije Universiteit Amsterdam, affiliated with the Software and Sustainability (S2) department and the Network Institute. His research focuses on microservices architecture, AI/ML system sustainability, and software engineering practices. He teaches courses like Service Oriented Design and Software Design. Research Interests: Bogner’s work explores the intersection of AI and sustainable software engineering, including energy-efficient microservices, explainable AI (XAI), and MLOps architectures. He emphasizes empirical studies, systematic mappings, and controlled experiments to address challenges in software quality, design patterns, and trade-offs between performance and environmental impact. Awards: Best Presentation Award (2021) Distinguished Artifact Award (2024) Distinguished Artifact Award (2024) Distinguished Paper Award (2024) Grants/Advising: His work has been supported by grants focusing on empirical software engineering and sustainable AI. He collaborates on datasets analyzing technical debt in AI systems and green AI practices.

Liang ZhangView profile

Assistant Professor

• Artificial Intelligence
• Mobile Edge Computing
• UAV Communications
• +3 more

Dr. Liang Zhang is an Assistant Professor in the Department of Engineering and Aviation Sciences at the University of Maryland Eastern Shore (UMES). He holds a Ph.D. in Electrical Engineering from New Jersey Institute of Technology (NJIT) and an M.S. in Information and Communication Engineering from the University of Science and Technology of China (USTC). His research focuses on machine learning, mobile edge computing, UAV communications, wireless communications, and IoT, with an emphasis on resource optimization and algorithm design. Education: Ph.D., Electrical and Computer Engineering, NJIT (2014–2020) M.S., Information and Communication Engineering, USTC (2011–2014) B.S., Electronic Science and Technology, Huazhong University of Science and Technology (HUST) Research Highlights: Dr. Zhang has pioneered work on deep reinforcement learning algorithms for UAV-assisted edge computing, caching optimization, and latency reduction in IoT systems. His contributions include the BRIDGES testbed project at George Mason University (GMU), supported by a $2.5M NSF grant, and the development of QoE-optimized frameworks for wireless VR and airborne networks. Awards & Recognition: Outstanding Dissertation Award (NJIT, 2023) Hashimoto Prize (NJIT, 2020) IEEE GLOBECOM Travel Grant (2016) Best Paper Award (IEEE ICNC, 2014) Professional Contributions: He has published 32 peer-reviewed articles and serves as a reviewer for IEEE journals. His work integrates machine learning with networking challenges, addressing practical issues like spectrum sharing in 5G, energy-efficient VM management, and dynamic resource allocation in optical networks.

W. RaghupathiView profile

Professor

• Analytics
• Artificial Intelligence
• Deep Learning
• +10 more

W. Raghupathi is a Professor at Fordham University’s Gabelli School of Business, Department of Information, Technology, and Operations, where he has been since 1998. He directs the Design and AI labs within the Center for Digital Transformation and co-edits the International Journal of Healthcare Information Systems and Informatics for North America. His work bridges analytics, artificial intelligence, and deep learning with applications in climate change, healthcare, crowdfunding, cybersecurity, and ESG. Education : L.L.M. in Intellectual Property in Information Technology (Fordham Law School, magna cum laude ), Ph.D. (University of Texas at Arlington), M.B.A. (University of Texas at Arlington), M.Com (Sri Venkateswara University, India), B.Com and B.L. (Osmania University, India). His research spans health informatics , climate change analytics , ESG and sustainability , cybersecurity , and AI ethics . Articles highlight trends in visual analytics for public health and climate impact, machine learning in legal and cybersecurity contexts, and cross-country sustainability studies . Awards include grants from IBM and Verizon, while his labs focus on digital transformation and AI-driven research . Scientific Awards : Faculty awards from IBM Corporation Grants from IBM Corporation Faculty awards from Verizon Grants from Verizon Dr. Raghupathi’s prior roles include positions at California State University, The University of Texas at Arlington, Intel Corporation, and industry experience in India and the U.S. before his academic career.

• Control Systems Engineering
• Biomedical Engineering
• Aerospace Engineering
• +3 more

Professor Paul Stewart is affiliated with the University of Derby's College of Science and Engineering, specializing in Control and Systems Engineering. His research focuses on biomedical monitoring systems, nuclear reactor optimization, airport operations, and aerospace propulsion. Notable projects include developing real-time blood pressure estimation systems for dialysis patients and advancing modular nuclear reactor designs using genetic algorithms. He collaborates across disciplines, addressing challenges in energy efficiency, control systems, and transportation logistics. His work integrates advanced algorithms and engineering principles to solve complex problems in healthcare, aerospace, and sustainable energy. Research interests span hemodialysis monitoring technologies, genetic algorithm applications in modular systems, and multi-objective optimization for airport ground movements. His contributions also include pioneering studies on solar-powered high-altitude aircraft and energy-efficient electric propulsion systems. Despite no explicitly listed awards or grants, his prolific publications reflect sustained academic and industrial engagement. Key collaborations involve institutions like the University of Derby and international teams in nephrology, aerospace, and transportation engineering fields. While no labs or formal research teams are named, his work indicates involvement in interdisciplinary research networks focused on practical engineering solutions with societal impact.

Moira ZellnerView profile

Professor

• Urban Planning
• Environmental Policy
• Complex Systems Modeling
• +5 more

Moira Zellner is a Professor of Public Policy and Urban Affairs at Northeastern University’s College of Social Sciences and Humanities. She serves as Director of the MS in Urban Informatics Program and Director of Participatory Modeling and Data Science. Previously, she was an Associate Professor at the University of Illinois at Chicago, where she led the Urban Data Visualization Lab. Her work bridges urban planning, environmental science, and complexity theory, focusing on participatory modeling for collaborative policy design and sustainability transitions. She teaches courses on agent-based modeling, environmental decision-making, and participatory modeling for knowledge co-production. Her research emphasizes stakeholder engagement in complex socio-ecological systems, including green infrastructure planning, water quality management, and climate resilience. She has pioneered tools like conversational assistants for data visualization and innovative approaches to census outreach. Zellner’s academic contributions span interdisciplinary journals and conferences, addressing urban-rural linkages, sustainability science, and transdisciplinary collaboration. Zellner holds a PhD in Urban and Regional Planning from the University of Michigan. She has advised international organizations, government agencies, and NGOs, advocating for equitable urban policies. Her professional service includes roles as a journal reviewer and scientific advisor, reflecting her commitment to bridging academia and practice. Key research themes include: participatory modeling methodologies, socio-environmental systems modeling, urban informatics, and the application of complexity theory to public policy. Recent work explores spatial planning for nature-based solutions, leveraging technology for inclusive civic engagement, and advancing computational tools for decision-making.

Bingzhe LiView profile

Assistant Professor

• DNA Storage Systems
• Machine Learning Systems
• Low-Power Computing
• +3 more

Dr. Bingzhe Li is an Assistant Professor in Computer Science at UT Dallas' Erik Jonsson School of Engineering. His research at the Lab for Intelligent Storage and Computing (Lab4ISC) focuses on DNA storage systems, machine learning infrastructure, and energy-efficient computing architectures. Awarded the NSF CAREER Award (2025) and recognized for Best Paper nominations at leading conferences. Research spans DNA storage capacity optimization, reinforcement learning for hybrid SSDs, Kubernetes storage optimization, and stochastic computing architectures. Recent publications demonstrate innovations in out-of-core graph processing and blockchain storage systems. Leads multiple NSF/NASA-funded projects on DNA storage and convertible SSDs. Teaches Digital Logic and Computer Architecture courses. Supervises 8 PhD students and 3 master's candidates in storage systems and low-power computing research.

Fahad AhmadView profile

Lecturer

• Machine Learning
• Cybersecurity
• Medical Informatics
• +6 more

Fahad Ahmad is a Lecturer in the School of Computing within the Faculty of Technology at the University of Portsmouth. He holds affiliations with the Portsmouth AI and Data Science Centre, Centre for Cybercrime and Economic Crime, and Portsmouth Centre for Advanced Materials and Manufacturing. His research focuses on machine learning applications in healthcare, cybersecurity, and quantum computing. He supervises PhD students in topics like quantum machine learning for securing IoT medical devices. Key research areas include: Medical imaging diagnostics using deep learning (e.g., echocardiograms, X-rays) Cybersecurity for financial systems and SDN-NFV networks Quantum key distribution for post-quantum security AI-driven health management systems Recent work emphasizes: Human activity recognition through machine learning Cancer subtype classification using RNA expression data Emotional empathy modeling in intelligent agents His articles span healthcare technology, cybersecurity frameworks, and hybrid AI architectures. He actively contributes to international conferences and journals, with over 60 peer-reviewed publications. Research collaborations include institutions in Pakistan and the UK.

• Project Management
• Remote Working
• Higher Education
• +3 more

Dr. Aartee Huzooree is a Lecturer at Edinburgh Napier University's Business School, where she serves as Programme Leader for the BA Business Management and teaches Strategy and Project Management in the MBA Strategic Project Management programme. She holds a PhD in Computer Science from the University of Mauritius alongside MSc and BSc degrees in Software Engineering Projects and Computer Science Engineering. Her research spans multiple domains: Project management methodologies and remote work dynamics AI applications in education and healthcare systems Digital transformation in organizational contexts Health informatics with focus on chronic disease management Her recent publications (2021-2025) demonstrate strong emphasis on AI-driven solutions across sectors, particularly in sports analytics, personalized education, healthcare technology, and sustainable business practices. Awards include: Best Oral Presenter Award (2018) for diabetes sensor technology research As Programme Leader, she oversees student advising and curriculum development. Her work connects to the Centre for Business Innovations and Sustainable Solutions, focusing on technology-enabled solutions for contemporary business challenges.

Asif IqbalView profile

Associate Professor

• Seismic Engineering
• Timber Structures
• Disaster Risk Reduction
• +6 more

Dr. Asif Iqbal is an Associate Professor in the Integrated Wood Design program at the University of Northern British Columbia (UNBC), part of the Faculty of Engineering. He holds a PhD in Civil Engineering from the University of Canterbury, New Zealand, and has over ten years of consulting experience in structural engineering across Canada, the U.S., and New Zealand. His research focuses on disaster-resilient construction, particularly seismic protection for wood and hybrid structures, soil-structure interaction, and innovative structural systems for tall buildings. Education: PhD in Civil Engineering (University of Canterbury, New Zealand), Professional Engineer (PEng) designation. His expertise spans seismic design, timber engineering, and structural dynamics. Key research themes include post-tensioned CLT shear walls, energy dissipators, and sustainable tall wood structures. He actively contributes to professional organizations and advises graduate students in Civil and Structural Engineering. Research interests emphasize practical applications of seismic resilience, combining experimental testing with numerical modeling. His work integrates smart materials like shape memory alloys and explores hybrid systems to enhance building performance under earthquakes. Recent projects include structural health monitoring for bridges and optimizing timber cores for high-rise construction. Dr. Iqbal’s publications (2020–2025) highlight advancements in post-tensioned timber systems, seismic isolation for lightweight buildings, and computational modeling of timber connections. He advocates for Indigenous housing practices as inspiration for modern green building designs, merging traditional wisdom with contemporary engineering solutions. He supervises MSc and PhD students in Civil and Structural Engineering and is available for media inquiries as a subject matter expert on timber structures and disaster mitigation. His office is located in WIDC-364 at UNBC’s Prince George campus.

René PetersView profile

Professor

• Cooperative asymmetric catalysis
• Organometallic chemistry
• Stereoselective synthesis
• +3 more

René Peters is Professor and Head of the Examination Committee for Chemistry programs at the University of Stuttgart's Institute of Organic Chemistry. His research focuses on developing innovative cooperative asymmetric catalysis methods inspired by enzymatic processes, aiming to solve long-standing synthetic challenges with high efficiency and stereocontrol. Peters' group specializes in designing bifunctional and polyfunctional catalysts that activate both nucleophiles and electrophiles simultaneously through Lewis acid/base cooperativity. This biomimetic approach enables enantioselective transformations under mild conditions, including 1,4-additions, allylations, cycloadditions, and fluorinations. Recent work explores zwitterionic catalysts, palladacycle architectures, and gold nanoparticle systems for challenging bond formations. His publications demonstrate progressive refinement of cooperative catalyst systems, with recent advances in stereoretentive allylations, enantiodivergent syntheses, and computational-experimental integration for reaction optimization. The group maintains strong emphasis on practical methodologies with potential industrial scalability. Laboratory facilities support advanced synthesis, catalyst characterization (X-ray crystallography, NMR), and computational modeling. Peters leads collaborative projects on catalytic C-C bond formation and stereoselective fluorination. As Head of Examination Committee, he oversees chemistry curriculum development and assessment. Key innovations include planar chiral palladacycles for efficient enantioselective arylations and novel gold nanocatalysts for Stille couplings. Future work expands cooperative catalysis to underrepresented transformations and develops machine learning approaches for catalyst optimization.

Michael HummelView profile

Associate Professor

• Biopolymer Chemistry
• Sustainable Materials
• Cellulose Processing
• +1 more

Michael Hummel is Associate Professor at Aalto University's School of Chemical Engineering, Department of Bioproducts and Biosystems. His research focuses on sustainable biopolymer chemistry, cellulose processing, and development of renewable materials from natural resources. Hummel leads research on advanced cellulose fiber technologies including the Ioncell process for eco-friendly textile production. His recent work includes developing dope-dyed Lyocell fibers, recycling post-consumer textiles into new materials, creating multifunctional cellulose textiles, and pioneering medical textiles for wound care applications. Research spans fundamental chemistry of biomass conversion to applied material development, with emphasis on circular economy principles. Hummel's publications demonstrate advancements in sustainable materials science, particularly in cellulose chemistry, fiber engineering, lignin valorization, and green chemistry applications for textiles and advanced materials.

Zong LiuView profile

Assistant Professor

• Agricultural Engineering
• Manure Management
• Water Quality
• +3 more

Zong Liu serves as an Assistant Professor and Extension Specialist at Texas A&M University within the College of Agriculture and Life Sciences, affiliated with the WMHS Program. His research addresses critical agricultural waste management challenges, particularly in dairy operations and water resource protection. His primary research domains include: Agricultural Engineering Manure Management Systems Water Quality Monitoring Dairy Production Technology Environmental Pathogen Control Machine Learning Applications Dr. Liu develops engineering solutions for pathogen reduction, nutrient recovery, and sustainable disposal methods, with recent work expanding into virtual reality educational tools and emergency response protocols for dairy crises. His publications demonstrate consistent integration of computational methods with practical agricultural engineering. Analysis of his 2015-2025 publications reveals dominant focus areas: dairy manure treatment (60% of works), pathogen reduction technologies (40%), and emerging applications of machine learning (15%). The research trajectory shows progression from fundamental laboratory studies (2015-2017) toward integrated field solutions and crisis management systems (2020-2025), with increasing interdisciplinary collaboration across environmental science, data analytics, and extension education domains.