Find Academic Supervisors

• Fashion History
• Business History
• Digital Fashion
• +3 more

Dr Liz Tregenza is a Lecturer in Cultural and Historical Studies at London College of Fashion, University of the Arts London, specializing in 20th-21st century fashion history and business networks with emphasis on digital innovation and sustainability. Her academic credentials include: PhD in History of Design, University of Brighton (2015-2018) MA in History of Design, Royal College of Art (2012-2014) BA in Fashion Design, University of Leeds (2008-2012) PgCert Academic Practice, University of the Arts London (2023-2025) Tregenza's research examines fashion through intersecting lenses of business history, migration studies, and digital transformation. Her work reveals how Jewish émigré entrepreneurs shaped London's wholesale couture industry while exploring contemporary issues like vintage commodification and online secondhand markets. Historical business networks in fashion Sustainable prosperity models Migration-driven industry innovation Digital marketplace evolution Analysis of her 15 most recent publications shows consistent focus on archival business records to reconstruct historical fashion economies, with increasing attention to digital transformation. Key threads include Jewish émigré contributions to London's fashion infrastructure, the paradoxes of 'sustainable prosperity' in historical contexts, and the commodification of vintage fashion through platform capitalism. Her professional recognition includes: Fellowship of Advance HE (FHEA) Fellow of the Royal Historical Society Tregenza has secured significant research funding as Co-I on Pasold Research Fund grants for 'Everyday Fashion: Extraordinary Stories of Ordinary Clothes' (2019) and the 'Sartorial Society Series' online seminars (2020), facilitating collaborative conferences across UK institutions. Her media engagements with Vogue, Harper's Bazaar, and Cosmopolitan demonstrate public impact. She actively contributes to interdisciplinary research networks including the Sartorial Society Series and collaborates on major publications like 'Everyday Fashion: Interpreting British Clothing Since 1600', focusing on transnational fashion histories and methodological innovation in material culture studies.

Jiong TangView profile

Professor

• System Dynamics
• Control
• Sensing and Automation
• +7 more

Jiong Tang is a Pratt & Whitney Chair Professor in Design and Manufacturing at the University of Connecticut , where he also serves as Co-Director of the Management and Engineering for Manufacturing Program . He received his B.S. and M.S. in Applied Mechanics from Fudan University, China (1989 and 1992), and his Ph.D. in Mechanical Engineering from Pennsylvania State University (2001). Prior to joining UConn, he worked at the GE Research Center as a research engineer. Research Interests : System dynamics, control theory, smart materials, vibration suppression, uncertainty propagation, computational intelligence, and multi-physics system modeling. Current Projects : Digital twin development for aerospace materials, physics-informed machine learning in manufacturing, adaptive metasurface design, and optimization of cooperative robotics. Methodological Focus : Combines Bayesian deep learning , Gaussian process metamodeling , transformer-based architectures , and multi-fidelity data fusion for industrial applications. His work emphasizes smart sensing , electromechanical integration , and uncertainty-robust inverse analysis . Collaboration : Research funded by federal agencies and industrial partners , with particular emphasis on aerospace and manufacturing technologies. His recent publications highlight generative adversarial networks for defect detection , piezoelectric metamaterials , and physics-guided neural network architectures across mechanical, structural, and composite systems.

Savvas G. LoizouView profile

Professor

• Control Theory
• Robotics
• Autonomous Systems
• +7 more

Savvas G. Loizou is a faculty member at the Cyprus University of Technology , affiliated with the Department of Mechanical and Materials Science and Engineering . He established the Robotics, Control, and Decision Systems Laboratory (RCDS Laboratory) in 2011. Education: PhD in Mechanical Engineering (2005) and Eng. Diploma (2000) from National Technical University of Athens (NTUA). Postdoctoral Experience: GRASP Laboratory, University of Pennsylvania (2005–2007). His research focuses on control theory for autonomous robotic systems , with applications in underwater, aerial, ground, and micro-robotics . Key areas include multi-agent coordination , human-robot interaction , task planning , and sensor-based navigation . Recent work emphasizes logistics automation , UAV hardware platforms , and bounded control algorithms . Dr. Loizou has contributed to multi-agent formation control , underwater vision systems , and nonlinear model predictive control for electric vehicles. He is active in control system design and navigation transformations for complex environments. His laboratory, RCDS , serves as a hub for research in autonomous systems and decision-making algorithms.

Shakiba EnayatiView profile

Assistant Professor

• Operations Research
• Healthcare Systems Optimization
• Supply Chain Management
• +3 more

Shakiba Enayati is an Assistant Professor at the University of Missouri-St. Louis (UMSL), specializing in Supply Chain and Analytics. She holds a Ph.D. in Operations Research from North Carolina State University and prior degrees in Industrial Engineering. Her research focuses on stochastic and dynamic systems modeling, particularly in healthcare, supply chain, and service systems, with notable contributions to vaccine distribution strategies and opioid crisis management. She previously served as an Assistant Professor at the State University of New York, Plattsburgh (2017–2020) and held roles at North Carolina State University, including Graduate Research Assistant and Instructor. Her educational background includes a B.S. (2004–2009), M.S. (2009–2012), and Ph.D. (2012–2016) in Industrial Engineering and Operations Research. Her work emphasizes optimizing complex systems to address real-world challenges, such as equitable vaccine distribution and improving emergency medical services. Research Interests: Analytic modeling and optimization of stochastic systems applied to healthcare logistics, supply chain resilience, and public health emergencies. Her recent work includes drone-based vaccine delivery systems and analyzing disparities in pandemic interventions. Enayati teaches courses in Business Analytics, Supply Chain Management, and Prescriptive Analytics. Publications span 2024 to 2017, addressing topics like ambulance service optimization, hybrid procurement strategies, and multi-modal logistics. Her research often bridges theoretical models with practical implementation to enhance decision-making in dynamic environments.

Yang LiView profile

Assistant Professor

• Computer Architecture
• Machine Learning
• On-Device AI
• +4 more

Yang Li is an Assistant Professor of Computer Science at Iowa State University, specializing in computer architecture, machine learning, and their intersection. He holds a Ph.D. and M.S. from Carnegie Mellon University (2020), an M.S.E. from the University of Texas at Austin (2013), and a B.E. from Tsinghua University (2011). Prior to academia, he worked as a Senior Research Scientist at Meta, a Research Scientist at Meta, and a Researcher at Microsoft. His research focuses on large language models (LLM) acceleration, on-device AI, cloud infrastructure optimization, and spatiotemporal forecasting. He has contributed to over 20 peer-reviewed publications at top venues like ASPLOS, EMNLP, and ICASSP. Research Interests: Algorithmic and systems-level acceleration of LLMs On-device AI co-design and privacy Cloud memory/power management Graph-based spatiotemporal forecasting Teaching: Taught COMS 6730 (Advanced Topics in ML), COM S 321 (Computer Architecture), and guest-lectured on graph signal processing. Recent teaching scores include 4.75/5.0 (Fall 2024) and 4.67/5.0 (Spring 2025). Awards: IBM Patent Application Award (2021) and multiple patents on power management systems for data centers. Service: Program committee member for DAC 2024, NeurIPS 2024, and ICLR 2025. Reviewer for ACM TACO, IEEE TPAMI, TPDS, and others.

• Machine Learning
• Computer Science
• Medical Informatics
• +7 more

Yan Li is a researcher with extensive contributions across interdisciplinary domains including Machine Learning , Signal Processing , and Environmental Science . Affiliated with institutions such as the University of Southern Queensland , Hebei University , and Shandong University , Li's work spans applications in Medical Informatics , Remote Sensing , and Operations Research . Recent publications highlight expertise in Deep Learning (e.g., hyperspectral classification, image fusion), Stochastic Modeling (e.g., chemotaxis models), and Federated Learning (e.g., vertical federated fuzzy clustering). Collaborative projects include 3D Reconstruction , Smart Grid Security , and Landslide Monitoring using satellite data. Li's 2025 work demonstrates a focus on Medical Imaging (segmentation algorithms with dual-frequency decoupling), AI in Education (ChatGPT adoption), and Industrial IoT (GPU-accelerated vessel trajectory visualization). While no explicit academic rank is provided, their prolific publication record suggests a Researcher role.

• Service-Oriented Architectures
• Cloud Computing
• Data Management
• +7 more

Professor Kyriazis Dimosthenis holds a faculty position at the Department of Digital Systems, University of Piraeus. He earned his diploma in Electrical & Computer Engineering from the National Technical University of Athens (2001) and a cross-disciplinary MSc in Techno-Economic Systems (2004). His academic rank is Professor specializing in service-oriented architectures with a focus on quality of service and workflow management. He has led European projects like BigDataStack, CrowdHEALTH, and CYBELE, addressing challenges in cloud computing, edge computing, and AI-driven solutions for healthcare, finance, and industrial sectors. His research emphasizes resilient service-oriented systems, AI explainability, and human-centric digital transformation. Notable contributions include frameworks for dynamic resource allocation in hybrid cloud/edge environments, AI applications for maritime safety, and data governance solutions for cross-sector integration. He coordinates initiatives such as the Future Internet Architecture Board and Cloud QoS&SLAs, driving advancements in federated data marketplaces and sustainable computing practices. His recent work explores Large Language Model (LLM) applications in financial decision-making, conversational AI for MLOps, and neurosymbolic systems for defect detection. He also investigates XAI methodologies, including VirtualXAI, which leverages GPT-generated personas for explainability assessment. His projects often bridge technical innovation with societal impact, such as the iHELP platform for holistic health records and SmartCHANGE for behavioral change strategies in youth health. Key themes in his publications include bias mitigation in machine learning, dynamic deployment prediction in hybrid cloud settings, and energy-efficient data spaces for mobility. He has contributed to standards like the H2020-funded IRMOS and 5GTANGO, emphasizing interoperability and fault-tolerant architectures. His work frequently intersects with EU policy frameworks, particularly in data governance and ethical AI implementation.

• Marketing
• Numerical Analysis
• Marketing Communications
• +4 more

Melih Can is a Lecturer at the Department of Industrial Engineering, Rafet Kayış Faculty of Engineering, Alanya Alaaddin Keykubat University. He holds a Doctorate in Business Administration from Aydın Adnan Menderes University (2018), a Master’s in Management Engineering from Akdeniz University (2013), and a Bachelor’s in Business Administration from Suleyman Demirel University (2005). His research focuses on Marketing, Numerical Analysis, and Multi-Criteria Decision Making, with applications in tourism, banking, and retail sectors. Key areas include fuzzy decision models for SMEs, chatbot adoption in e-commerce, and integrated marketing communications. His work also addresses occupational safety in hospitality and employee well-being in education sectors. Recent publications highlight methodologies like Fuzzy AHP, ARAS, and Best-Worst Scaling for decision-making, alongside studies on Industry 4.0 adoption and cross-docking optimization in supply chains. His research blends quantitative techniques with real-world sectoral challenges. Melih Can has served on academic committees at Alanya Alaaddin Keykubat University, including Quality Board and Commission memberships. He teaches courses in Industrial Engineering and collaborates on projects involving marketing strategies and operational efficiency.

Jean Carlos Hernandez-MejiaView profile

Researcher

• Power Systems Engineering
• Electrical Engineering
• Energy Conservation
• +5 more

Dr. Jean Carlos (J.C.) Hernandez-Mejia is a Senior Research Engineer at the National Electric Energy Testing, Research, & Applications Center (NEETRAC) within Georgia Tech's School of Electrical and Computer Engineering (ECE). His work focuses on power system reliability, asset management strategies, and energy conservation. Previously, he held a tenured professorship at the University of the Andes in Venezuela, where he taught, conducted research, and advised students in power systems engineering. Dr. Hernandez-Mejia earned his bachelor’s degree (Summa Cum Laude) in Electrical Engineering from the University of the Andes (2000), followed by a Master’s (2005) and Ph.D. (2008) in ECE from Georgia Tech, supported by an OAS-LASPAU scholarship. His research spans cable diagnostics, optimization techniques, and smart grid technologies, with 2,800+ citations and 32 industry-relevant reports. His articles highlight advancements in power system reliability, including cable defect analysis, SVC optimization, and smart inverter applications. He has been invited as an expert speaker at six conferences and collaborates closely with utilities and manufacturers across North America. Awards: OAS-LASPAU Scholarship (2003) Advising: Led curricular development and student mentoring at the University of the Andes Grants/Collaborations: NEETRAC-funded projects, industry partnerships with 13 manufacturing companies and 140+ utilities Labs/Teams: NEETRAC (Georgia Tech), University of the Andes Electrical Engineering Lab

Josep CasanovasView profile

Professor

• Modelling and Simulation
• Internet and Information Systems
• Urban Mobility
• +4 more

Josep Casanovas is a Full Professor at the Statistics and Operations Research Department of the Technical University of Catalonia (UPC), affiliated with the Barcelona School of Informatics. He previously served as head of inLab FIB (2012-2020) and as dean (1998-2004) and vice-rector (2006-2011) of UPC, leading strategic initiatives in university governance and ICT policies. His research focuses on Modelling and Simulation , Internet and Information Systems , and Urban Mobility . He has led projects for the European Union, including C-ROADS Spain, REMEDiAL, and ECHORD++, addressing intelligent transport, software automation, and robotic innovation. Recent publications highlight his work on agent-based simulation for urban health, deep learning applications in traffic and energy savings, and wildfire management tools . He co-directs LogiSim and coordinates the Severo Ochoa Research Excellence Program at the Barcelona Supercomputing Center (BSC-CNS).

Senol AtaogluView profile

Professor

• Structural Mechanics
• Numerical Modeling
• Solid Mechanics
• +3 more

Prof. Dr. Senol Ataoglu is a Professor in the Department of Civil Engineering at Istanbul Technical University (ITU). He holds administrative roles including Vice Rector (2024–present) and Acting Dean (2020–2020). His expertise includes Structural Mechanics, Numerical Modeling, Solid Mechanics, and Buried Pipes. He has advised numerous graduate students on topics like composite materials, thermal stress analysis, and pipeline design. His research focuses on civil infrastructure durability, material behavior under extreme conditions, and innovative engineering solutions for urban systems. He has published over 38 peer-reviewed articles and contributed to projects such as the 2017 BAP-funded study on concrete shear strength. Education: PhD in Structural Engineering from ITU (1997–1999). Academic career spans roles from Research Assistant (1993) to Professor (2017–present). He has served on editorial boards, including the El-Cezeri Journal of Science and Engineering, and holds patents in plastic pipe design. His work emphasizes practical applications in earthquake-resistant construction, utility tunnel systems, and composite material analysis. Recent research highlights include post-earthquake building assessments in Hatay, stress analysis of pretensioned structures, and utility tunnel applications for natural gas pipelines. He actively collaborates internationally and mentors students via thesis supervision, covering structural analysis, material characterization, and computational methods.

• Materials Science
• Mechanical Engineering
• Computational Modeling
• +3 more

Dr. Simone Falco is a Research Fellow at the Department of Engineering Science, University of Oxford, and a Lecturer at Oriel College. He holds a DPhil (Oxon) in Engineering Science. His research focuses on numerical modeling of polycrystalline materials, micromechanical behavior of ceramics, and multi-scale approaches. He has contributed to projects involving high-rate testing, explosive materials simulation, and flash sintering techniques. His work bridges computational methods with experimental validation, emphasizing practical applications in materials engineering. Education: Bachelor’s and Master’s in Aerospace Engineering, University of Naples Federico II (2006, 2009) PhD in Engineering Science, University of Oxford (2015) Research Interests: Generation of numerical models for real polycrystalline microstructures Numerical simulation of brittle material failure Multi-scale homogenization techniques High-rate material testing Modeling of material manufacturing processes Key Awards: Ross Coffin Purdy Award, American Ceramic Society (2019) JCS 2018 Award, Journal of the Ceramic Society of Japan (2019) Excellence Award, University of Oxford (2019) Lab/Team Affiliations: Impact Engineering and Materials Engineering groups at the University of Oxford.

Michal KalkowskiView profile

Associate Professor

• Non-destructive testing
• Material characterisation
• Ultrasonic imaging
• +6 more

Michal Kalkowski is an Associate Professor at the University of Southampton's Institute of Sound and Vibration Research (ISVR). His research focuses on structural wave and vibration analysis for non-destructive testing, material characterization, and infrastructure monitoring. He develops advanced modeling tools and signal processing techniques for applications in nuclear energy, aerospace, and water industries. Current projects include weld inspection through ultrasound-based 'weld map tomography' and leak detection in buried pipes using distributed acoustic sensing. He is Editor of the Journal of Sound and Vibration and Co-chair of the UK Acoustics Network UKAN+. Education: MEng in Control Engineering & Robotics (AGH University, Krakow), PhD in Structural Wave Applications (ISVR, 2010). Postdoctoral work included EPSRC projects on active vibration control and underground structure interrogation. Served as H2020 ADVISE project researcher at Imperial College London before returning to Southampton in 2021 as Lecturer in Dynamics. Teaching responsibilities include coordinating the Mechanics, Machines & Vibration module (joint with Harbin Engineering University), and teaching Statics/Dynamics (FEEG1002) and Fundamentals of Vibration (ISVR6141). Actively supervises four PhD students in engineering disciplines. Research highlights include: Developing numerical models for wave propagation in complex materials Pioneering weld map tomography for grain orientation analysis Advancing distributed acoustic sensing for infrastructure monitoring AI integration for coarse-grained metal characterization Current active projects: Horizon Europe iWeld intelligent Weld inspection and EPSRC Core Equipment grants.

Wang ShirenView profile

Professor

• Additive Manufacturing
• Bio/nano-manufacturing
• Brain-inspired Artificial Intelligence
• +6 more

Professor Wang Shiren is a faculty member in the Department of Industrial & Systems Engineering at Texas A&M University, holding the Jill & Charles F. Milstead '60 Faculty Fellowship. He is affiliated with Biomedical Engineering and Materials Science & Engineering. His research focuses on additive manufacturing, bio/nano-manufacturing, brain-inspired AI, and decarbonization. He leads the Manufacturing Intelligence and Nanotechnology Innovation (MINI) Lab, emphasizing sustainable manufacturing and commercialization. Education: Ph.D. in Industrial & Manufacturing Engineering from Florida State University (2006) Research interests span advanced materials, energy-efficient manufacturing, and AI integration. Recent work includes low-carbon ceramics, thermoelectric materials, and nanozyme-based therapies. Over 100 peer-reviewed publications demonstrate expertise in additive manufacturing, nanocomposites, and energy harvesting. Awards include NSF CAREER Award (2010-15) and multiple faculty fellowships. Awards: NSF CAREER Award, AFOSR Fellowship, Texas A&M TEES Fellowship, and 3M Non-tenured Award. Grants and collaborations focus on AI-driven manufacturing, eco-friendly processes, and medical device innovation. The MINI Lab develops smart materials and sustainable solutions for industrial and biomedical applications. Labs/Teams: MINI Lab at Texas A&M, specializing in nanotechnology and manufacturing intelligence.

• Augmented Reality
• Virtual Reality
• Computer Graphics
• +6 more

Dieter Schmalstieg is the Alexander von Humboldt Professor of Visual Computing at the University of Stuttgart and an adjunct professor at Graz University of Technology. He leads research in augmented reality (AR), virtual reality (VR), and visualization, with contributions to tracking, rendering, and medical applications. His work spans academia and industry, with over 400 publications and numerous awards, including the IEEE ISMAR Career Impact Award and Fellow of the IEEE. Education: PhD (1997), Habilitation (2001) from Vienna University of Technology. Research: Focuses on AR/VR systems, medical visualization, and real-time graphics. Key projects include the Christian Doppler Laboratory for Handheld AR and collaborations with Qualcomm and VRVis. Awards: START Prize (2002), IEEE Technical Achievement Award (2012), Humboldt Professorship (2023). His teaching includes courses on computer graphics, VR, and real-time rendering. He has advised over 30 PhD students, many of whom hold academic or industry leadership roles. Current research explores situated analytics, mixed reality telepresence (MRUnion), and AR applications in mining and medicine (MiReBooks).