Find Academic Supervisors

• Enterprise Resource Planning (ERP)
• Information Technology in Law Enforcement
• Information Warfare
• +5 more

Dr. Kerry W. Ward is an Associate Professor in the Department of Information Systems and Quantitative Analysis at the University of Nebraska at Omaha (UNO) College of Business Administration. He holds a Ph.D. in Management Information Systems from Indiana University, an MBA from the University of Notre Dame, and undergraduate degrees in Accounting and Psychology. His professional background includes seven years in public accounting with firms like Deloitte and seven years as an officer with the Indianapolis Metropolitan Police Department. Dr. Ward’s research focuses on enterprise resource planning (ERP), information technology in law enforcement, information warfare, and research methodologies. His work has been published in top journals such as the Journal of the AIS and IEEE IT Professional. He has served in key academic service roles, including co-chairing research methods tracks at AMCIS and HICSS, and has contributed to college committees like the Doctoral Program Committee. His teaching spans courses in ERP systems (using Epicor's Kinetic), IT risk management, information warfare, and research methods. Notably, he received the UNO Alumni Outstanding Teaching Award in 2010. Dr. Ward’s research and service reflect a commitment to bridging academic theory with practical applications in technology management and organizational strategy.

• Photogrammetry
• Remote Sensing
• Computer Vision
• +3 more

Niclas Börlin is an Associate Professor in the Department of Computing Science at Umeå University, Sweden, with his office located at MIT-huset, MIT.A.431 in Umeå. He leads the research group focused on Non-linear estimation and contact-free measurements, driving innovation in photogrammetric computation methodologies. His research spans Photogrammetry , Remote Sensing , Computer Vision , and Medical Imaging , with core expertise in bundle adjustment algorithms and radiostereometric analysis (RSA) . He pioneered the Damped Bundle Adjustment Toolbox (DBAT) for MATLAB, enabling robust verification of photogrammetric software through modular design principles. His work bridges theoretical optimization and practical applications in environmental monitoring, medical diagnostics, and industrial measurement systems. Analysis of his 2012-2020 publications reveals a dominant trend in modular bundle adjustment techniques , with significant contributions to covariance computation, underwater photogrammetry accuracy, and forestry applications. His research consistently emphasizes independent verification frameworks for photogrammetric software, addressing challenges in large-scale reconstruction, laser scanning bias, and architectural modeling. Börlin has secured funding for critical projects including the DBAT toolbox development (2018), RSA medical applications (2018), and non-linear least squares algorithms (2008-2009), demonstrating sustained impact across academic and clinical domains. His collaborative work with researchers like Murtiyoso and Grussenmeyer has established new standards for quality control in photogrammetric workflows. He directs a specialized research team developing contact-free measurement solutions, with the DBAT toolbox serving as their flagship contribution to open photogrammetric science. Their work directly impacts fields requiring high-precision 3D reconstruction, from orthopedic implant analysis to periglacial environmental monitoring.

Afshin Rezaei-ZareView profile

Associate Professor

• Power Systems
• Renewable Energy
• Electrical Engineering
• +6 more

Afshin Rezaei-Zare is an Associate Professor in the Department of Electrical Engineering & Computer Science at York University. He holds a Ph.D. in Electrical Engineering from the University of Tehran and conducted postdoctoral research at the University of Toronto (2005-2009). His career spans academic and industrial roles, including 7 years at Hydro One Networks Inc. as a specialist in power system planning and reliability. Registered Professional Engineer (Ontario) Senior Member of IEEE Associate Editor, IEEE Transactions on Power Delivery Chair, IEEE Task Force on Power Equipment Vulnerability to GIC His research focuses on power system resilience to geomagnetic disturbances (GMD) , real-time simulation, and electric vehicle energy management . He pioneered the world’s first in-service GMD real-time simulator for Ontario Grid Control Center and contributed to renewable energy system optimization. His recent publications emphasize transformer protection under GIC conditions , EV battery charging analytics , and smart grid technologies . He has led critical advancements in GMD monitoring and mitigation strategies, including adaptive machine learning for battery state-of-charge prediction and DFACTS-based voltage unbalance control. Hydro One President Award in Innovation for GMD simulator development

Zhongzhou ChenView profile

Associate Professor

• Physics Education Research
• Online Learning Design
• Educational Data Mining
• +4 more

Dr. Zhongzhou Chen is an Associate Professor in the Department of Physics at the University of Central Florida (UCF), affiliated with the Physics Education Research (PER) group. He earned his Ph.D. in physics from the University of Illinois Urbana-Champaign (2012), specializing in physics education and multimedia learning. After a postdoctoral role at MIT’s RELATE group (2013–2016), he joined UCF. His research focuses on analyzing student learning data to improve online education effectiveness, designing data-rich online learning environments, and developing assessment methods. Key interests include cognitive mechanisms of learning, scalable instructional design, and curating educational resources. His research integrates online learning platforms like MOOCs with big data analytics to study student behavior and learning outcomes. Notable work includes AB experiments on MOOCs to evaluate instructional methods, drag-and-drop problem formats for deliberate practice, and video production techniques to enhance instructor performance. He leads efforts to modularize online courses for continuous improvement, inspired by grounded cognition theory and adaptive learning principles. Dr. Chen’s contributions span over 30 peer-reviewed publications, including seminal works on MOOC-based research methodologies and AI-driven feedback systems. He collaborates with UCF’s Center for Distributed Learning to develop Obojobo, an open-source platform for modularized instructional design. His work emphasizes practical applications of cognitive science in STEM education, aiming to make learning more equitable and effective through technology.

Ahmad ElshennawyView profile

Professor

• Industrial Engineering
• Quality Management
• Lean Six Sigma
• +5 more

Professor Ahmad Elshennawy is a distinguished academic in the Department of Industrial Engineering and Management Systems at the University of Central Florida's College of Engineering and Computer Science. His expertise spans Quality Management, Lean Six Sigma, Industry 4.0 implementation, and healthcare process optimization. He holds a Ph.D. in Industrial Engineering from Penn State University (1987) and has over four decades of research and teaching experience. Education: Ph.D. - Industrial Engineering, The Pennsylvania State University, 1987 M.Eng. - Industrial Engineering, The Pennsylvania State University, 1982 BS - Production Engineering, Alexandria University, Egypt, 1974 His research focuses on advancing quality systems through Industry 4.0 technologies, Lean Six Sigma methodologies, and innovative applications in healthcare and aerospace sectors. Notable contributions include frameworks for quality 4.0 maturity assessment, Kano model applications in education, and predictive maintenance using machine learning. He has authored over 200 publications and textbooks on quality engineering and manufacturing processes. Professor Elshennawy's work bridges theoretical advancements with practical industry applications, emphasizing sustainability and ethical considerations in technological adoption. His research trends reflect a strong focus on digital transformation in education, healthcare efficiency, and aerospace manufacturing innovation. His advising and grant activities have significantly impacted modular homebuilding quality, healthcare process optimization, and defense industry innovation. He leads interdisciplinary teams exploring the intersection of artificial intelligence and traditional quality control systems.

Michael K. BaneView profile

Senior Lecturer

• Green Software Engineering
• High Performance Computing (HPC)
• Energy Efficiency in Computing
• +3 more

Dr. Michael K. Bane is a Senior Lecturer in Green Software Engineering & Performance Computing at Manchester Metropolitan University , within the Department of Computing & Mathematics, Faculty of Science and Engineering. A Senior Fellow of the Higher Education Academy (HEA) and founder of GreenCompute.UK , he leads the university's Greener Compute Club and the £120K UKRI Net Zero project "ENERGETIC" on heterogeneous computing for carbon reduction. Current teaching: Unit Lead for High Performance Computing & Big Data (UG/MSc) and Green Software Engineering modules Previous roles: University of Liverpool lecturer, UKRI Hartree Centre research scientist, and University of Manchester HPC team leader Research focuses on Energy Efficient Performant Computing (EEPC), exploring: Heterogeneous architectures (FPGA/GPU/accelerator integration) Carbon-aware scheduling systems Quantifying ICT's environmental footprint Green AI development Emerging hardware-software synergies Key contributions: Co-edited Introduction to Aerosol Modelling: From Theory to Code (2022) Authored 20+ publications on HPC, parallel algorithms, and sustainable computing Recipient of EMS 'best paper' award for climate modeling work

Prabhat HajelaView profile

Professor

• Aerospace Engineering
• Structural Optimization
• Multidisciplinary Design
• +7 more

Prabhat Hajela is the Edward P. Hamilton Professor of Aerospace Engineering at Rensselaer Polytechnic Institute (RPI). He has held leadership roles including Provost and Vice Provost, overseeing academic strategy and undergraduate programs. His academic journey includes degrees from the Indian Institute of Technology Kanpur (B.Tech, 1977), Iowa State University (MS, 1979), and Stanford University (MS and PhD, 1981–1982). He joined RPI in 1990 and became a full professor in 1992. His research focuses on structural and multidisciplinary optimization, with applications in aerospace systems, composite materials, and uncertainty modeling. Notable contributions include over 300 publications and four co-authored books. Hajela’s administrative leadership includes expanding undergraduate research programs, international collaborations, and the CLASS initiative. He is a Fellow of AIAA, ASME, and AeSI, and received the AIAA Biennial Multidisciplinary Design Optimization Award in 2004. Education: B.Tech (Aeronautical Engineering), Indian Institute of Technology, Kanpur (1977) MS (Aerospace Engineering), Iowa State University (1979) MS (Mechanical Engineering), Stanford University (1981) PhD (Aeronautics and Astronautics), Stanford University (1982) Research Interests: Hajela’s work spans structural optimization, multidisciplinary design, computational mechanics, and aerospace systems. He pioneered methods for reliability-based design, uncertainty quantification, and evolutionary algorithms. His research addresses challenges in composite materials, aeroelasticity, and the integration of artificial intelligence in engineering design. Recent projects include virtual reality in STEM education and adaptive systems for Mars missions. Key Contributions: Developed EVOLVE, a genetic search-based optimization code Advanced methodologies for multiscale composite analysis and failure prediction Contributed to CAN-SPAM legislation as a Congressional Fellow (2003) Chaired ASME’s Aerospace Division and served on National Academies panels Awards and Recognition: AIAA Biennial Multidisciplinary Design Optimization Award (2004) Fellowships: AIAA, ASME, and AeSI Recipient of the Boeing-A.D. Welliver Fellowship (1995) Administrative Impact: Hajela led RPI’s academic innovation, including undergraduate research expansion and the implementation of living-learning communities. His focus on global education and interdisciplinary collaboration has shaped RPI’s strategic vision. Current roles include chairing the NRC Technical Assessment Board for the Army Research Laboratory.

• Sustainable Fashion Design
• Fashion Supply Chain Ethics
• Circular Economy
• +3 more

Dr. Alana James is a Researcher at Northumbria University, specializing in sustainable fashion design, education, and research. She focuses on embedding responsible social and environmental values throughout the fashion product lifecycle through challenge-led investigations and multi-stakeholder engagement. PhD in Design Studies (2014) Key research areas: sustainable fashion, ethical supply chains, circular economy practices Her research explores responsible practices in the fashion supply chain from a design perspective. She investigates topics like zero-waste pattern cutting, garment repair initiatives, and consumer behavior toward sustainable fashion. Her work emphasizes collaboration between fashion consumers, brands, and designers to enable large-scale sustainable change. Recent publications focus on textile pollution, 3D fashion design software applications, and circular economy frameworks. Notable trends include microfibre fragmentation challenges, responsible wardrobe management, and modular design opportunities for post-consumer waste. As a postgraduate research supervisor, she mentors students in projects related to sportswear remanufacturing, textile waste valorization, and sustainable design frameworks.

• Software Engineering
• IT Security
• Cloud Systems Engineering
• +3 more

Diomidis Spinellis is a Professor at the Department of Management Science and Technology, Athens University of Economics and Business. He is a leading researcher in software engineering, IT security, and cloud systems engineering, with over 300 publications and 10,000 citations. He has authored award-winning books including Code Reading , Code Quality: The Open Source Perspective , and Effective Debugging: 66 Specific Ways to Debug Software and Systems (2016). As a Senior Member of ACM and IEEE, he served as Editor-in-Chief of IEEE Software (2015–2018) and contributed to open-source tools like CScout, UMLGraph, and dgsh. Award-winning author in software engineering Developer of critical open-source tools Editorial leadership in IEEE Software Contributor to macOS and BSD Unix His research spans code quality, software evolution, security, and developer productivity. Articles highlight Unix modernization, AI-assisted coding, dependency analysis, and incident management. He has served on the IEEE Computer Society Board of Governors and holds degrees from Imperial College London (MEng, PhD). Scientific contributions include open-source datasets (e.g., VulinOSS, Alexandria3k) and innovative tools for software analysis. His work bridges academic research and industrial practice, with case studies on Eclipse, Android APIs, and ING’s incident management.

David GamezView profile

Senior Lecturer

• Artificial Intelligence
• Consciousness Studies
• Machine Learning
• +4 more

Dr. David Gamez is a Senior Lecturer in Computer Science at Middlesex University, UK, affiliated with the Faculty of Science and Technology. He specializes in interdisciplinary research at the intersection of philosophy, artificial intelligence, neuroscience, and psychology. His current focus is developing a universal measure of intelligence based on prediction, aiming to unify the assessment of human, animal, and AI intelligence. He also leads the module 'Web Applications and Databases' and supervises AI-related projects, including generative AI. Education: PhD in Computer Science from the University of Essex (2008), supported by the CRONOS project. Previously held a JTF Turing Research Fellowship (2012-2015) at the Sackler Centre for Consciousness Science and worked at Imperial College London (2010-2012) on modular neural simulation. His research has explored spiking neural networks, agent systems, and the philosophy of consciousness, resulting in publications across journals like Journal of Artificial Intelligence and Consciousness and conference proceedings. Research Interests: Machine consciousness, intelligence measurement, predictive processing, cognitive architectures, and ethical implications of AI. His work bridges theoretical frameworks with practical implementations, including experiments on predictive intelligence via web interfaces (https://www.davidgamez.eu/pi). He co-edits the Journal of Artificial Intelligence and Consciousness and organized AAAI workshops on consciousness topics. Advising & Grants: Supervises student projects on AI and generative systems. His research has been supported by EPSRC grants, including work on neural simulators like NeMo and SpikeStream. Past projects include developing a conscious robot within the CRONOS initiative and analyzing computational correlates of consciousness. Labs/Teams: Previously collaborated on the Sackler Centre’s consciousness studies, Imperial College’s neural simulation projects, and the iCub robot sensory interface. His current work involves interdisciplinary teams exploring predictive intelligence metrics and AI safety implications.

• Analytical Chemistry
• Environmental Chemistry
• Toxicology
• +5 more

Victor G. Mihucz is an Associate Professor at the Department of Analytical Chemistry, Faculty of Science, Eötvös Loránd University (ELTE). He holds additional titles including Honorary Associate Professor and Doctor of Science (DSc). His research focuses on environmental chemistry, indoor air quality, toxicology, and spectrochemical methods. Key projects include the OFFICAIR initiative studying European office environments and INDAIRPOLLNET, driving collaborative research on indoor pollution. Research interests span heavy metal contamination in water and food, arsenic speciation, and the development of advanced analytical techniques for pollutants. His work addresses public health implications of airborne pollutants in kitchens, offices, and industrial settings. Publications emphasize methodological innovations, such as low-cost sensors and particulate matter monitoring strategies. Laboratory affiliations include the Institute of Chemistry at ELTE. He collaborates internationally, particularly with Italian institutions, as seen in studies comparing Italian and Hungarian restaurant kitchen air quality. His contributions extend to environmental policy through interdisciplinary networks.

Luísa OrvalhoView profile

Researcher

• Vocational Education
• Project-Based Learning
• E-learning
• +3 more

Luísa Orvalho is a Researcher at the Research Centre for Human Development (CEDH) within Universidade Católica Portuguesa's Faculty of Education and Psychology. She holds a PhD focused on modular structures in professional secondary education from Universidade Católica Portuguesa. Orvalho's research investigates educational innovation through key domains: Vocational education pedagogy and curriculum design Technology-enhanced learning environments Quality assurance frameworks (EQAVET) Formative assessment using e-portfolios Her recent consultancy includes educational projects for Escola de Moda do Porto and Escola Tecnológica e Profissional de Sicó. Publication analysis shows interdisciplinary work bridging digital accessibility, sustainable marketing, cybersecurity education, and arts pedagogy. Recent studies emphasize technology integration across educational contexts and cross-cultural examinations of professional identity. No awards or student mentoring relationships are explicitly documented in available sources. Orvalho serves on academic committees including the Colégio Politécnico da APESP and Conselho Consultivo da ASI, indicating institutional leadership roles beyond research activities.

• Nuclear Engineering
• Physics
• Scaling
• +1 more

Victor Manuel Martinez Quiroga is a Researcher at the Department of Physics, Universitat Politècnica de Catalunya (UPC), affiliated with the Escola d'Enginyeria de Barcelona Est (EEBE). He holds a Doctorate in Nuclear Engineering and specializes in scaling methodologies, thermal hydraulics, and nuclear safety analysis. His work focuses on validating thermal-hydraulic codes (e.g., RELAP5, LOCUST) through integral experiments like PKL and OECD benchmarks. Key contributions include development of scaling tools (e.g., PVST) and hybrid modeling frameworks for reactor safety analysis. Research interests revolve around: Best Estimate Plus Uncertainty (BEPU) methodologies Loss-of-Coolant Accident (LOCA) analysis Small Modular Reactor (SMR) safety Multi-physics coupling in reactor transients Recent articles highlight advancements in scaling distortion analysis, code validation against experimental data (e.g., PKL-4 benchmark), and application of inverse methods for uncertainty quantification. Active collaborations include the OECD/ETHARINUS and OECD/ATLAS projects. He leads the UPC’s Advanced Nuclear Technologies Research Group (ANT), contributing to national and international nuclear safety initiatives.

Yvonne CoadyView profile

Professor

• Aspect-oriented software development
• Scalable system infrastructures
• Distributed virtualization
• +7 more

Yvonne Coady is a Professor in the Department of Computer Science at the University of Victoria. She leads the MOD(ularity) Squad, focusing on system infrastructure modularity, mixed reality systems, and geospatial computing. Her research spans scalable distributed systems, immersive technologies, and AI-driven applications. She has co-authored over 170 papers and supervised numerous graduate students. Research interests include citizen science integration, advanced software modularity, and cloud computing architectures. Collaborations include projects with IBM, Ericsson, and Urthecast, addressing Earth observation, urban planning, and virtual reality analytics. Recognized with the 2015 Knowledge Mobilization Award, her work emphasizes real-world impact through industry partnerships. Current projects explore immersive applications via VR/AR, such as the RAVR and SAVR initiatives, and accessibility-enhanced interfaces. She also investigates geospatial computing for environmental monitoring and disaster response. Awards and grants include NSERC Collaborative Research and Mitacs Accelerate funding. Grants: NSERC grants (2023-2024), Mitacs projects (2020-2024) Labs/Teams: MOD(ularity) Squad, RAVR (Research in Augmented and Virtual Reality) Key Collaborations: Ocean Networks Canada, SALA Lab (UBC)

• Mechatronics
• Robotics
• Control Systems
• +3 more

Harry Esmonde is an Associate Professor at Dublin City University's School of Mechanical & Manufacturing Engineering. Before joining academia, he gained industry experience in nuclear, aerospace, and engineering adhesive sectors, bringing applied perspectives to his research and teaching. Esmonde's research explores mechatronic systems, robotics applications, smart material integration, and industrial automation solutions. His work includes sensor development, signal processing algorithms, and control systems for manufacturing and healthcare contexts. Collaborative projects involve hospital robotics through the iWARD initiative, developing modular systems for patient monitoring. Recent publications focus on robotic system performance optimization, precision measurement techniques, and ergonomic design applications. Esmonde maintains industry collaborations to translate research into practical engineering solutions for manufacturing automation.