جستجوی استاد راهنمای دانشگاهی

• Technological Forecasting
• Economic Forecasting
• Entrepreneurship Evolution
• +۵ مورد دیگر

Dr. George Atsalakis is an Assistant Professor in Technological Forecasting at the School of Production Engineering and Management, Technical University of Crete. He holds a PhD in Stock Market Forecasting from the same institution (2006) and an MSc (2000) from Technical University of Crete, alongside a Diploma in Business Administration from the Economical University of Athens. His research focuses on forecasting methodologies applied to economic markets, technological trends, entrepreneurship evolution, and innovative societies using neuro-fuzzy systems, neural networks, and fuzzy logic models. Dr. Atsalakis has authored 2 books and over 90 peer-reviewed publications. His work emphasizes practical forecasting applications in diverse domains including stock markets, commodity prices, tourism demand, and environmental policy analysis. He leads the Data Analysis and Forecasting Laboratory at the university and has organized international conferences and training programs in computational intelligence. His research demonstrates a consistent focus on hybrid intelligent systems, particularly neuro-fuzzy approaches, applied to complex socio-economic systems. Notable contributions include forecasting models for shipping indices, cryptocurrency trends, agricultural commodity prices, and energy market dynamics. He has advised on policy-related forecasting for issues like carbon pricing mechanisms and post-crisis economic recovery strategies. Dr. Atsalakis maintains active roles as a journal referee and conference organizer, contributing to the advancement of computational methods in forecasting. His interdisciplinary approach bridges engineering management with socio-economic analysis, addressing challenges in technological adoption, market volatility, and sustainable development strategies.

Satya Aditya Akundiمشاهده پروفایل

استادیار

• Systems Engineering
• Model-Based Systems Engineering
• Cyber-Physical Systems
• +۳ مورد دیگر

Satya Aditya Akundi is an Assistant Professor in the Department of Industrial & Manufacturing Engineering at the University of Wisconsin-Milwaukee (UWM), within the College of Engineering & Applied Science. His research focuses on complex systems engineering, including Model-Based Systems Engineering (MBSE), Cyber-Physical Systems, Digital Engineering, and Workforce Development. His work is supported by the National Science Foundation (NSF), U.S. Department of Education (DoEd), and industry partnerships. Dr. Akundi holds a PhD in Electrical and Computer Engineering from the University of Texas at El Paso and has a Graduate Certificate in Systems Engineering. His research interests span systems engineering methodologies, digital transformation in manufacturing, and advancing educational strategies in engineering. He has published extensively on topics like MBSE applications in UAV systems, automated quality control using deep learning, and industry adoption trends of systems engineering practices. His work bridges theoretical frameworks with practical implementations, emphasizing interdisciplinary approaches. Education: PhD, Electrical and Computer Engineering (Industrial & Systems Engineering Track), University of Texas at El Paso (2016) Graduate Certificate in Systems Engineering, University of Texas at El Paso (2016) MS, Electrical and Computer Engineering, University of Texas at El Paso (2012) BS, Electronics and Communications Engineering, Jawaharlal Nehru Technological University (2009) Dr. Akundi has been recognized with awards including the Outstanding Junior Faculty Award and an award for service to manufacturing education from the ASEE Manufacturing Division. He actively contributes to professional organizations like the Institute of Industrial and Systems Engineers (IISE) and the American Society for Engineering Education (ASEE). His research portfolio reflects a balance between foundational systems engineering principles and applied industry challenges, with a strong emphasis on workforce development through workshops and educational initiatives. Recent work highlights include exploring Industry 5.0 trends, developing digital twins for manufacturing systems, and advancing automated quality control in smart factories.

Carlos Eduardo da Silvaمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Information Security
• Self-adaptive Systems
• +۹ مورد دیگر

Dr. Carlos Eduardo da Silva is a Senior Lecturer in Software Engineering at the School of Computing and Digital Technologies, Sheffield Hallam University (UK), and leads the Applied Software Engineering Research Group (ASERG). His research focuses on Software Engineering's intersection with Information Security, emphasizing self-adaptive systems, AI planning, service-orientation, and secure-by-design methodologies. He has led projects in smart cities, IoT applications, and cloud computing, including consultancy for SMEs in the Sheffield City Region through the Digital Innovation for Growth (DIfG) programme. Education: PhD in Computer Science (University of Kent, 2011), MSc in Systems & Computing (Federal University of Rio Grande do Norte, 2007), BSc in Computer Science (Federal University of Rio Grande do Norte, 2005). Research Interests: Self-adaptive systems, business process engineering, digital identity management, insider threat detection, and secure software development. Current work includes AI-driven drug discovery, IoT-based fraud detection systems, and process mining for business process visualization. Teaching: Teaches modules like Secure Software Engineering, Software Architecture, and Professional Software Projects across undergraduate and postgraduate programs in Computer Science and Software Engineering. Supervises final-year projects and apprenticeship programs. Professional Activities: Member of RNP's Identity Management Technical Committee and Brazilian Computer Society's Security SIG. Former General Chair of SBSeg 2018 and reviewer for journals like Systems and Software and conferences like WBCI. Key Projects: Led ASERG's Knowledge Transfer Partnership (KTP) with Cafeology for coffee roasting process systems. Developed a data space infrastructure for the Landscape Laboratory initiative, supporting interdisciplinary environmental research.

• Software and systems engineering
• Empirical studies
• Software quality
• +۳ مورد دیگر

Stefan Wagner is a Professor at the Institute of Software Engineering (ISTE) and leads the Empirical Software Engineering Group at University of Stuttgart , Germany. His research focuses on software and systems engineering with emphasis on empirical studies , software quality , human aspects in software engineering , automotive software , and software engineering for AI-based systems . Research Trends : Recent publications highlight his work in automotive software architecture centralization (2023) mutation testing in industrial contexts (2022) GitHub communication channel analysis (2022) microservices/DevOps adoption in cyber-physical systems (2022) code security feedback systems (2022) empirical studies of agile team leadership (2021) automated security requirements in CPS (2021) Methodological Contributions : He has developed scenario-based evolvability analysis methods, empirical frameworks for citation drivers in SE, and systematic mapping approaches for AI-based system engineering challenges and automotive security countermeasures.

Fahad Dogarمشاهده پروفایل

دانشیار

• Networking
• Distributed Systems
• Cloud Computing
• +۵ مورد دیگر

Fahad Dogar is an Associate Professor in the Department of Computer Science at Tufts University's School of Engineering, with a secondary appointment at the Jonathan Tisch College of Civic Life. He leads the NAT (Networking At Tufts) research group and serves as Director of the Master Software Systems Program since 2022. His academic journey includes a Ph.D. from Carnegie Mellon University (2012), undergraduate studies at Lahore University of Management Sciences (LUMS) in Pakistan (2005), and postdoctoral research at Microsoft Research UK. Dogar's research focuses on designing technologies for social impact across multiple computer science domains. His primary interests include networking and distributed systems, with recent emphasis on data center networking, future Internet architectures, and the application of large language models for accessibility. Notably, his work spans cloud-based systems, mobile and wireless technologies, and developing practical solutions for resource-constrained environments in developing regions. Networking and distributed systems architecture Cloud computing infrastructure and optimization Human-Computer Interaction for accessibility Generative AI applications for social impact Technologies for developing regions Augmented reality networking requirements His publication record shows consistent output with 36 publications including two significant papers in 2024 focusing on LLM-powered applications for autistic users and machine learning job scheduling. His research has appeared in top-tier venues including ACM SIGCOMM, Usenix NSDI, and ACM MobiCom. Gold medal from the president of Pakistan for top computer science student LUMS Vice Chancellor Alumni Achievement Award (2021) VMWare Early Career Faculty Fellowship (2019) Facebook/Oculus Faculty Fellowship (2017) Tisch Faculty Fellowship (2017-2018) Dogar has secured substantial research funding including an NSF Core Medium award ($850K) as sole PI for 'Slack-Aware Networking' (2021-2025), Meta/Facebook funding ($150K) for networking support for telepresence applications (2020-2022), and multiple NSF awards totaling over $1 million. His teaching portfolio includes courses on Networks, Computing for Developing Regions, and special topics in Generative AI for Social Impact. During his 2023 sabbatical, he served as Senior Fellow with the Burnes Center for Social Change at Northeastern University, demonstrating his commitment to civic technology applications.

• Photogrammetry
• Remote Sensing
• Computer Vision
• +۳ مورد دیگر

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.

Jordana Maiselمشاهده پروفایل

دانشیار

• Urban Planning
• Transportation Accessibility
• Universal Design
• +۳ مورد دیگر

Jordana Maisel, PhD, is an Associate Professor in the Department of Urban and Regional Planning and Director of the IDeA Center at the University at Buffalo's School of Architecture and Planning. She specializes in inclusive design, accessible transportation, and urban planning, with a focus on integrating research, teaching, and practice. Her work addresses public transportation accessibility, street infrastructure, housing policy, and universal design principles. She leads major initiatives such as the Rehabilitation Engineering Research Center on Accessible Public Transportation (RERC-APT) and co-directs projects funded by the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) and Toyota. Education: BS in Human Development from Cornell University, and a Master of Urban Planning and PhD in Industrial and Systems Engineering from the University at Buffalo. Her dual role as a researcher and educator emphasizes practical application of classroom knowledge through real-world projects at the IDeA Center. Research Interests: Public transportation accessibility and policy Inclusive urban design and universal design implementation Disability equity in mobility and housing Smart city technologies and inclusive deployment Grants and Projects: RERC-APT (NIDILRR) Toyota grant for ride-hailing accessibility studies NIDILRR field-initiated research on wheelchair securement systems Labs and Teams: Director of the IDeA Center, a leader in advancing inclusive design and accessibility research, training, and policy.

• Cyber-Physical Systems
• Runtime Monitoring
• Software Engineering
• +۳ مورد دیگر

Dr. Michael Vierhauser is an Assistant Professor in the Department of Computer Science at the University of Innsbruck. His research focuses on Cyber-Physical Systems (CPS), runtime monitoring, autonomous systems, and software engineering methodologies. He specializes in safety-critical systems, human-machine interaction, and innovative educational technologies for programming and software development. Key research areas include: Runtime monitoring frameworks for CPS and UAVs Development of adaptive systems and self-protective IoT devices Integration of AI into software engineering education Agile methodologies for sustainability assessment His recent publications emphasize field-testing of drone missions, automated simulation testing for aerial systems, and frameworks like FORTE for scalable environmental monitoring. He leads projects like Dronology, an incubator for CPS research, and contributed to tools such as ReMinds and GRuM for runtime monitoring. Dr. Vierhauser collaborates on digital transformation initiatives in underground construction and has designed learning analytics dashboards to improve programming education outcomes. His work bridges theory and practice through real-world applications in emergency response systems and industrial 4.0 contexts.

• Software Engineering
• Artificial Intelligence
• Human Computer Interaction
• +۷ مورد دیگر

Gias Uddin is an Associate Professor in the Electrical Engineering and Computer Science department at York University's Lassonde School of Engineering. He also holds an Adjunct Professor position at the University of Calgary. Previously, he served as an Assistant Professor at the University of Calgary from 2020 to 2023. Dr. Uddin's research lies at the intersection of software engineering (SE) and artificial intelligence (AI), with specific focus areas including the assessment of AI trustworthiness using SE (SE4AI) and improving the productivity of software and knowledge professionals using AI-enabled software assistants. His work spans three key domains: Democratized Data Science (HCI → AI4DS, SE4DS), Modernized Software Issue Management (HCI → AI4SE), and Usable Cybersecurity Engineering (HCI → AI4CE). He is particularly interested in how AI can democratize the adoption of machine learning techniques across stakeholders during ML systems development. His recent publications demonstrate a strong focus on practical applications of AI in software engineering, with particular emphasis on detecting hallucinations in LLMs, improving API documentation, and developing AI-assisted tools for software issue management. His research has resulted in numerous publications at top-tier software engineering conferences including ICSE, ASE, and FSE. Distinguished paper award at FSE 2025 for work on hallucination detection in LLMs York University Research Award (2025) IBM Champion recognition for 2024 and 2025 CAS Project of the Year Award at IBM TechXChange 2024 Multiple NSERC-funded research grants Dr. Uddin has successfully secured multiple research grants including an NSERC Discovery Grant, NSERC Alliance International Catalyst Grant on 'Hallucination Detection in LLMs using Metamorphic Testing,' and several industry-funded projects with IBM. He has supervised numerous graduate students who have gone on to successful careers in both academia and industry, with many receiving prestigious scholarships and awards. As the founding director of the Data Intensive Software Analytics (DISA) Lab, he leads a team focused on developing innovative AI-assisted tools for software developers and data scientists.

Michael Flanaganمشاهده پروفایل

مدرس ارشد

• Real Estate
• Strategic Negotiation
• Finance
• +۴ مورد دیگر

Dr. Michael Flanagan is a Senior Lecturer and Fellow of the Foundation of Management Education at Manchester Metropolitan University (MMU) Business School. He joined academia in 2008 after a career in industry managing businesses in domestic appliances and PC assembly, holding director-level roles in Customer Service, Manufacturing, and Logistics. His teaching focuses on performance management, corporate finance, and security derivatives, with expertise in online teaching development for the Global Online Teaching Programme. Education: PhD in Finance (University of Manchester, theoretical study of mortgage mitigation options). Professional qualifications include ACCA P4 instruction for PWC accounting professionals. Research interests span Real Estate, Strategic Negotiation, and Mortgage Mitigation, with conference presentations at international venues like AREUEA Washington, Tokyo University, and the University of Cambridge. Teaching excellence includes student award nominations and global teaching engagements in Singapore, Shanghai, and the UK. His work bridges academic research with practical industry applications, particularly in financial instruments and risk management strategies.

• Web Engineering
• Web Measurement
• Web Security
• +۳ مورد دیگر

Dr Yanlong Zhang is a Senior Lecturer at Manchester Metropolitan University. He holds a PhD in Software Engineering and a PGCE in Higher Education, complemented by industry experience as an Assistant Engineer, Engineer, and Teaching Assistant. His research focuses on web engineering, including web measurement, security, and games design, with particular attention to software metrics and user interface design. Teaching responsibilities include undergraduate modules on web design and development, computer systems, game design, and human-computer interaction, as well as postgraduate courses in information systems. His work explores GUI generation using GANs, structural similarity in source code, and navigability metrics for websites. Research outputs span topics like melanoma classification via image similarity and quality analysis of software architectures. His publications demonstrate expertise in both theoretical frameworks (e.g., HASARD model) and applied systems (e.g., MEIC design). Office hours are Monday 10-11, 1-2, and Thursday 10-11. Proficient in English, Chinese, and basic Japanese/German, Dr Zhang contributes to education and industry through his roles as a Fellow and teaching-focused academic. His work bridges software engineering principles with practical web development challenges.

Michael Scott Brownمشاهده پروفایل

استاد

• Genetic Algorithms
• Software Engineering
• Educational Technology
• +۳ مورد دیگر

Dr. Michael Scott Brown is a Professor in the Department of Information Systems at the University of Maryland Baltimore County (UMBC). Previously, he served as the Graduate Program Director for Online Masters in Information Systems and related certificates at UMBC. Before that, he was Program Director of Computer Science at the University of Maryland Global Campus (UMGC), overseeing software engineering, database systems, and computer science programs. He has extensive industry experience, including roles at Sun Microsystems, Valhalla Data Systems, and CACI, where he contributed to software engineering and project management. Education: Dr. Brown holds a Doctor of Philosophy in Computer Science (Nova Southeastern University, 2010), a Master of Science in Computer (Shippensburg University, 1997), and a Bachelor of Arts in Mathematics/Computer Science (Shippensburg University, 1992). His thesis focused on a species-conserving genetic algorithm for multimodal optimization. Research Interests: His work spans genetic algorithms, software engineering, educational technology, and data analysis. Notable projects include collaborations with NASA on flight system testing, development of ranking systems for high school sports, and contributions to Cytoscape modeling tools. He has been awarded a Fulbright Grant (2019) and two Effective Practice Awards from the Online Learning Consortium (2016, 2018). Recent Articles Trends: His publications emphasize predictive modeling in education (student retention, test scores), machine learning applications, and optimization techniques. He frequently explores intersections between algorithms (genetic, SVM) and real-world challenges like cryptocurrency forecasting and UAV path planning. Awards: Fulbright Grant (2019), OLC Effective Practice Awards (2016 & 2018), NSF grants, and others. Advising & Grants: Supervised projects at NASA and Cytoscape, managed large educational programs, and secured grants like NSF AIM-PQC. His teaching spans 12 institutions, emphasizing adult and online education. Labs/Teams: Collaborated on NASA Core Flight System testing, Washington Post sports rankings, and the EVA Training System for astronauts. Active in interdisciplinary research through projects like the Open Research Laboratory.

Jair Ferrariمشاهده پروفایل

دانشیار

• Cyber Security
• Systems Engineering
• C4I Systems
• +۱ مورد دیگر

Jair Ferrari is an Associate Professor in the Department of Cyber Security Engineering at George Mason University's College of Engineering and Computing. He teaches courses in Unmanned Air Systems Security, Cyber Security Engineering topics, and Systems Engineering Principles. His research focuses on Unmanned Aerial Systems (UAS) detection/simulation, C4I systems, electronic warfare, and business administration analytics. Education includes a PhD in Industrial Engineering (Concordia University), MSc in Systems Engineering (U.S. Naval Postgraduate School), MSc in Business Administration (Brasilia University), and BASc in Military Aviation (Brazilian Air Force Academy). Prior to academia, he served as a Brazilian Air Force Colonel, maritime patrol pilot, electronic warfare specialist, and research project manager. His technical expertise spans systems architecture, requirement engineering, cyber defense strategies, and quantitative organizational analysis. Active research projects include UAS detection network optimization and tactical planning for aerial/naval operations. He collaborates with the C4I and Cyber Security Center and has taught at Concordia University's Mechanical, Industrial, and Aerospace Department.

Simon Fooمشاهده پروفایل

استاد

• Photovoltaics
• Multi-junction III-V compound Solar Cells
• Organic/Polymer Solar Cells
• +۵ مورد دیگر

Simon Foo is a tenured Professor of Electrical and Computer Engineering at the FAMU-FSU College of Engineering, part of Florida A&M University and Florida State University. He has held roles including Department Chair (2010–2018) and has been a professor since 2005. His research focuses on photovoltaics and machine learning, with over 150 publications and 50+ graduated students. He leads 20+ funded projects from agencies like NASA, DOE, NSF, and industries like Boeing and Airbus. Education: Ph.D. (1988), M.S. (1985), and B.S. (1983) in Electrical Engineering from the University of South Carolina. Research Interests: Photovoltaics (multi-junction solar cells, quantum dots, perovskites) and machine learning applications in energy systems, control, and healthcare. His lab develops AI-driven solutions for renewable energy optimization and battery management systems. Key Awards: Teaching Incentive Award (1995) Teacher of the Year (2001 & 2010) Engineering Research Awards (2004 & 2008) Two Best Paper Awards (2001 & 2004) Advising & Grants: Mentored over 50 graduate students in photovoltaics and AI. Secured grants from NASA, DOE, NSA, NSF, and industry partners. Current projects include battery state-of-charge estimation and AI for aircraft fire detection systems. Labs & Collaborations: Collaborates with Airbus on aircraft safety systems and maintains an active research group focused on renewable energy and AI integration. His lab is currently full and not accepting students until 2027.

Devina Sanjayaمشاهده پروفایل

استادیار

• Computational Fluid Dynamics
• High-Order Mesh Adaptation
• Error Estimation
• +۶ مورد دیگر

Devina Sanjaya serves as an Assistant Professor in the Department of Mechanical, Aerospace and Biomedical Engineering at the University of Tennessee, Knoxville. She leads the Scientific Computing and Fluid Dynamics Lab (SCFDL) and has been with the institution since July 2019, initially as a Research Assistant Professor before transitioning to a tenure-track Assistant Professor position in August 2019. Her educational background includes a Ph.D. in Aerospace Engineering and Scientific Computing from the University of Michigan (2019), an M.S. in Aeronautics and Astronautics from Stanford University (2014), and a B.S. in Aerospace Engineering with minor in Mathematics from the University of Michigan (2011). Dr. Sanjaya's research focuses on developing advanced computational methods for fluid dynamics simulations. Her work centers on high-order computational fluid dynamics methods, mesh adaptation and optimization, error estimation, verification and validation techniques, and applying scientific machine learning to enhance computational fluid dynamics. She has made significant contributions to the field of scalable, high-order CFD methods, particularly in the area of curved mesh generation and optimization. Her recent publications demonstrate a strong focus on solution verification, uncertainty quantification, and the development of open-source tools for CFD verification. Her research spans both fundamental computational methods and practical applications in aerospace engineering and nuclear reactor design, showing an increasing integration of machine learning techniques with traditional numerical methods. MGB-SIAM Early Career Fellowship (2023-2025) UTK Office of the Provost Research Development Academy Scholar (2022) François-Xavier Bagnoud Fellowship (2016-2019) Zonta International Amelia Earhart Fellowship (2016-2017) Michigan Institute for Computational Discovery and Engineering Fellowship (2015-2016) Dr. Sanjaya actively mentors several graduate students including Ph.D. candidates Aidan Lay, Justin Weinmeister, Trenton Henderson, and Nicole Nutter, along with M.S. student Luc Lipcius. She has secured funding from multiple sources including the Air Force Office of Scientific Research (AFOSR) Computational Math Program, National Science Foundation (NSF REU), and Office of Naval Research. Her professional service includes leadership roles in the AIAA Meshing, Visualization, and Computational Environments (MVCE) Technical Committee, where she currently serves as Meshing Sub-Committee Chair and will chair the MVCE Student Paper Competition for the 2026 AIAA SciTech Forum. She directs the Scientific Computing and Fluid Dynamics Lab (SCFDL), which hosts undergraduate researchers, REU students, and collaborates with national laboratories including Oak Ridge National Laboratory. The lab focuses on developing computational methods for fluid dynamics with applications ranging from aerospace engineering to nuclear reactor design, and has established partnerships with organizations like Flexcompute for sponsorship and research collaboration.