Find Academic Supervisors

Carlos Cruz de la TorreView profile

Part-Time Lecturer

• Electronics Technology
• Energy Communities
• Demand Response
• +7 more

Carlos Cruz de la Torre is a Part-Time Lecturer in the Department of Electrónica at the Universidad de Alcalá . He earned his PhD with a thesis on cooperative demand planning in sustainable communities optimizing renewable energy consumption, supervised by Dr. Ignacio Bravo Muñoz and Dr. Esther Palomar González. His work spans interdisciplinary domains including energy communities , IoT sensing , renewable energy integration , and digital electronics education , with contributions to sensor design and sustainable engineering practices. Research Interests : His research focuses on Aggregated demand response systems and multi-objective optimization in energy communities Development of IoT-based sensors and triboelectric nanogenerators for energy harvesting Integration of sustainability principles into digital electronics education Behavioral analysis of consumer participation in renewable energy systems Signal conditioning circuits for optical and seismic sensors Physics applications in CCD sensor technology and particle scattering Publications highlight his expertise in robotics , sensor design , and energy-efficient communities , with recent work exploring trilevel optimization models and flexible nanogenerators. Earlier contributions include studies on particle physics and CCD readout techniques. Labs & Teams : He collaborates with the GEINTRA (Group of Electronic Engineering Applied to Intelligent Spaces and Transport) research group, focusing on intelligent transportation and energy-efficient systems.

Sanjiv DasView profile

Professor

• Default Risk Modeling
• Machine Learning
• Social Networks
• +3 more

Sanjiv Das is the William and Janice Terry Professor of Finance at Santa Clara University's Leavey School of Business. He holds advanced degrees in Finance, Computer Science, and Management from prestigious institutions like NYU, UC Berkeley, and IIM Ahmedabad. His research focuses on default risk modeling, machine learning applications in finance, derivatives pricing, and venture capital. He has authored over 80 academic articles and received the Harry Markowitz Award in 2019 for his contributions to finance. Professor Das serves as a senior editor for The Journal of Investment Management and co-editor of The Journal of Derivatives . Before academia, he worked in derivatives at Citibank and currently holds a Senior Fellow role at the FDIC Center for Financial Research. He has held faculty positions at Harvard Business School and UC Berkeley. His work bridges theoretical finance with practical applications, emphasizing interdisciplinary approaches. Key interests include leveraging machine learning for financial modeling and exploring social networks' impact on market dynamics. His book Derivatives: Principles and Practice (2010) remains a foundational text in the field.

• Mass Timber Construction
• Sustainable Built Environment
• Circular Economy
• +3 more

George H. Berghorn is an Assistant Professor of Construction Management and Research Director for Mass Timber at Michigan State University (MSU), located within the School of Planning, Design and Construction. He also holds an adjunct role as Assistant Professor of Sustainable Wood Construction in the Department of Forestry. Berghorn earned a PhD in Construction Management from MSU, a Master of Environmental Studies from Yale University, and a Bachelor's in Earth Science and Political Science (magna cum laude) from SUNY Brockport. His research focuses on Mass Timber materials, circular economy principles, building deconstruction (domicology), and sustainable built environment practices. He has led projects addressing energy efficiency in high-security facilities, barriers to mass timber adoption in the U.S., and the role of construction activities in invasive species spread. He advises Sigma Lambda Chi and coaches the Residential Competition Team. Key affiliations include MassTimber@MSU, the MSU Housing & Education Research Initiative, and the MSU Industrial Assessment Center. Notable achievements include NSF funding ($650K for mass timber curriculum development) and a Forest Stewardship Council Leadership Award for the MSU Mass Timber STEM facility. His work integrates risk management methodologies (FMEA, Delphi techniques) with case studies to address urban blight and energy performance contracting challenges in correctional facilities. Current activities include developing tools for cross-laminated timber use and advancing sustainable wood construction education. His academic contributions span 25+ peer-reviewed articles, with recent emphases on VR-based energy audit training, UN SDG 11 urban resilience frameworks, and interdisciplinary approaches to sustainable apparel industry facilities in South Asia. Berghorn’s research bridges environmental science, policy, and engineering, often leveraging collaborative projects with industry partners to address real-world challenges in construction sustainability.

• Environmental Law
• Legal Education
• Transnational Regulation
• +3 more

Zoe Nay is a Lecturer in the School of Law within the Faculty of Business & Law at Queensland University of Technology (QUT). Her academic work spans environmental law, legal education, and student engagement, reflecting QUT's commitment to interdisciplinary research with practical applications. She collaborates extensively with colleagues including Judith McNamara and Rachel Hews on projects addressing contemporary legal challenges. Dr. Nay's research interests focus on environmental governance frameworks, particularly transnational regulation of plastics and circular economy approaches to textile waste. She investigates how legal education can adapt to technological changes through design thinking methodologies and examines the impact of pandemic conditions on law student engagement and wellbeing. Her work bridges theoretical legal scholarship with practical educational applications. Her recent publications reveal a consistent focus on regulatory innovation, with particular attention to environmental challenges requiring cross-jurisdictional solutions. The articles demonstrate increasing integration of technological considerations into legal frameworks, especially regarding automated decision-making in environmental assessments. Her work connects legal theory with practical implementation challenges in Australian and international contexts. While specific scientific awards aren't documented in the available materials, her publications appear in respected journals including Transnational Environmental Law , Alternative Law Journal , and Globalization and Health , indicating recognition within her fields of expertise. Dr. Nay's research collaborations extend across multiple institutions, particularly with UNSW colleagues on legal education projects. Her work with The Cotton Research and Development Corporation demonstrates applied research addressing industry-specific regulatory challenges. These partnerships highlight her commitment to translating academic research into practical solutions for environmental and educational challenges. Her scholarship contributes to QUT's research strengths in environmental law and legal education innovation, particularly regarding the impacts of digital transformation and global crises on legal practice and pedagogy.

• Supply Chain Management
• Technology-driven Logistics
• Sustainable/Circular Supply Chain Management
• +6 more

Prof Ming Lim is currently a Professor of Supply Chain Management and Digitalisation at the Adam Smith Business School, University of Glasgow. Previously, he served as Dean of the College of Mechanical Engineering and Distinguished Professor at Chongqing University (China), and Co-cluster Lead/Professor at Coventry University. He holds a PhD in Manufacturing Systems from the University of Exeter and a BEng (Hons) in Manufacturing Engineering from the University of Liverpool. His career includes roles as a post-doctoral researcher, business improvement manager, and academic leadership positions, such as Head of the Centre for Supply Chain Improvement at the University of Derby. Prof Lim's research focuses on technology-driven logistics (RFID, IoT, Industry 4.0), sustainable supply chain management (circular economy, low carbon initiatives), and lean/agile principles. He has secured over £1.4 million in research funding from bodies like EU FP7, UKRI EPSRC, and InnovateUK. Notable projects include EU-funded grants 'CITADEL on the move' and 'AdvIOT', and collaborations with DHL, NHS, Rolls-Royce, and Toyota. He leads the Services and Operations Management research cluster and serves as Editor-in-Chief of the International Journal of Logistics Research and Applications . With over 250 publications, his work spans journals like Omega, Transportation Research, and Production Planning and Control. Current research emphasizes AI-driven logistics, energy systems optimization, and sustainable practices in global supply networks. Prof Lim's advisory and grants include leading teams on supply chain competitiveness, technology implementation, and industrial partnerships. His research has generated over £1.4 million in revenue through industry-funded projects and grants. He actively collaborates with institutions like the University of Oxford and has established research centers to drive innovation in supply chain resilience and digital transformation.

Lei SuView profile

Professor

• Sensors and Instrumentation
• Optical Devices and Systems
• Optoelectronics
• +8 more

Professor Lei Su at the School of Engineering and Materials Science, Queen Mary University of London , specializes in photonics with applications spanning healthcare, energy, and security . His work integrates optical devices, optoelectronic materials , and artificial intelligence to advance sensing, imaging, and communication technologies. His research explores multimode fiber optics , perovskite materials , and deep learning-driven photonic systems , focusing on challenges like shape sensing , soliton dynamics , and stability enhancement in optoelectronic devices. Key trends include biomimetic photonics , scalable manufacturing , and AI-enabled signal processing . Professor Su has secured substantial funding from EPSRC , BBSRC , and Innovate UK for projects such as Clock-Chips and Wearable ultrasound sensors . His collaborations emphasize interdisciplinary innovation , bridging materials science , nanotechnology , and biomedical engineering .

Colm Jeremiah ObrienView profile

Assistant Professor

• Sustainable Fashion
• Smart Textiles
• Human-Computer Interaction
• +4 more

Colm Jeremiah Obrien is an Assistant Professor at the Oslo School of Architecture and Design (AHO), affiliated with the Institute of Architecture and Department of Architecture. His research explores intersections between computational design tools and cultural reflections on gendered labor, particularly in smart textiles and wearable technology. Research Focus Smart Textiles Human-Computer Interaction Sustainable Fashion Algorithmic Fairness Cultural Studies in Technology Collaborative Design Practices Awards Multiple Best Paper Awards at top Human-Computer Interaction conferences He maintains active collaborations across design and computer science fields, though no specific student advising relationships are currently listed.

Boyu KuangView profile

Research Fellow

• Semantic Segmentation
• Object Detection
• Weakly Supervised Learning
• +9 more

Dr. Boyu Kuang is a Research Fellow in Computer Vision and Artificial Intelligence at Cranfield University, affiliated with the Centre for Computational Engineering Sciences. His work bridges academic research with industrial applications in aviation, robotics, and energy systems. Current role: Research Fellow in Computer Vision and AI Key affiliations: Centre for Computational Engineering Sciences Research interests include semantic segmentation , object detection , weakly and self-supervised learning , multi-modal perception , and vision-language foundation models . His methodology emphasizes robust AI systems for low-resource industrial environments , with applications in aviation maintenance , robotics , and energy infrastructure monitoring . He leads the Artificial Intelligence and Machine Learning module at Cranfield. Key activities include the UKRI, ATI, and Airbus-funded ONEHeart project on autonomous systems and intelligent inspection. Collaborations span Stanford University , King’s College London , Civil Aviation University of China , and industry partners like Airbus and Leidos . Publications focus on vision-language models , multi-modal perception , and industrial AI . As an Editorial Board Member for Discover Artificial Intelligence (Springer Nature), he contributes to academic governance. Peer review experience includes 60+ journal manuscripts for venues like IEEE Transactions on Image Processing and Elsevier Neural Networks . Facilities utilized include DARTeC and AIRC .

Dariusz JankowskiView profile

Researcher

• Machine Learning
• Data Stream Mining
• Data Stream Classification
• +3 more

Dariusz Jankowski is a researcher at the Department of Systems and Computer Networks within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. His work focuses on machine learning, data stream mining, and big data analysis with applications in medical diagnostics and industrial processes. Email: dariusz.jankowski@pwr.edu.pl Office: Room P.2.9, Building C-16, Wrocław Office Hours: Tuesday 11-13, Thursday 13-15 Research interests include machine learning, data stream classification with concept drift, and big data analysis. He has applied these techniques to medical diagnosis (migraine) and industrial applications (dental milling, cotton textile industry). Recent publications focus on decision tree algorithms for data streams, random forest optimization with MapReduce, hyperspectral image segmentation, and ensemble classifier systems. His work spans both theoretical machine learning and practical implementations across diverse domains. Current affiliations include participation in academic conferences like IDEAL, CORES, and HAIS. While no awards are explicitly mentioned, his collaborative publications suggest active involvement in research networks.

• Forensic Genetics
• Population Genetics
• Ancient DNA Analysis
• +5 more

Dr. William Goodwin is a Reader in Forensic Genetics at the School of Law and Policing , University of Central Lancashire (UCLan). With over 30 years of experience in forensic genetics since 1994, he joined UCLan in 2002 and has shaped their Forensic Science and DNA Profiling MSc program while contributing to undergraduate teaching. International Committee of the Red Cross (ICRC) Forensic Advisory Board Technical Assessor for UK Accreditation Service (ISO17025 standard) Global fieldwork in Iraq, Iran, Lebanon, Nepal, Sri Lanka, Kenya, and more His research spans forensic genetics , focusing on: Optimization of DNA collection, storage, and extraction methods Population genetics and Y-STR analysis in Middle Eastern/African populations Touch DNA recovery from diverse surfaces (fabric, bone, sand) Development of internal amplification controls for forensic kits Human identification protocols for disaster and humanitarian contexts Recent publications analyze DNA persistence across environmental conditions, direct amplification techniques , and genetic diversity in UAE, Saudi, Ghanaian, and Iraqi populations. His work bridges forensic science with applications to human rights investigations and humanitarian action. As a technical assessor, he evaluates forensic laboratories against ISO17025 standards. Collaborations include projects with Dubai Police , ICRC , and international genetic research teams.

• Applied Mathematics
• Materials Science
• Computational Modeling
• +3 more

Jens Wittsten is a Researcher affiliated with the Department of Engineering at the University of Borås' Academy of Textiles, Technology and Economics. He serves as the main supervisor for doctoral student Markus Klintborg and holds office in room C801. His work bridges applied mathematics, materials science, and computational engineering. Research interests include modeling phenomena in moiré heterostructures (e.g., twisted graphene layers), semiclassical quantization in strained lattices, and seismic data processing techniques. He has contributed to understanding electronic phase transitions, magic angles in bilayer graphene systems, and numerical methods for wave propagation modeling. His publication trends reflect interdisciplinary focus: recent works address both fundamental physics (e.g., Hofstadter butterfly studies) and applied engineering challenges (e.g., warehouse optimization via GPU-accelerated routing). Jens advises one doctoral candidate and maintains an active research portfolio spanning over 25 peer-reviewed articles since 2010. His methodological innovations include contributions to seismic apparition techniques and dealiasing algorithms.

Simeon GillView profile

Professor

• Fashion Technology
• Pattern Engineering
• Body Scanning
• +4 more

Dr. Simeon Gill is a Professor in Fashion Technology at the University of Manchester , contributing to the Department of Fashion Business Technology. His research focuses on automation of pattern generation, body scanning applications, and sustainable apparel practices, aligning with UN SDGs related to sustainable manufacturing. Gill leads projects like SORO-MADE (Soft Robotic Mannequin) and Apparel Advance , exploring textile innovation and sustainable manufacturing. He has supervised 8 PhD students and authored over 68 publications since 2009, with recent work emphasizing 3D body scanning, compression garment engineering, and educational tools for pattern construction. His collaborative network spans global institutions and industry partners. Key achievements include the Best Conceptualisation Paper Award (2025) for educational design frameworks and contributions to datasets like Alva Form Body Measurements . Gill actively engages in media discourse on sizing ethics and has appeared in BBC interviews, addressing issues like vanity sizing and body image. His lab work integrates robotics and AI to advance garment functionality and fit, with a focus on athlete apparel and aging demographics. Professional affiliations include membership in The Textile Institute, and he contributes to industry initiatives like the White Paper on Landmarking for Product Development . His research bridges academic rigor with industrial application, driving innovations in mass customization and virtual fitting interfaces.

• Digital Signal Processing
• Spectral Analysis
• Pattern Recognition
• +7 more

Maria Ragousi is a faculty member in the Department of Electrical and Electronic Engineering at the University of West Attica, affiliated with the School of Engineering. She holds a PhD in Digital Signal Processing and Pattern Recognition from NTUA (1994), an MSc from the University of Virginia (1990), and a Diploma in Electrical Engineering from NTUA (1987). Her academic role is as a Lecturer, focusing on courses such as Digital Signal Processing, Biomedical Signal Processing, and Educational Technologies. Education: PhD (1994): Digital Signal Processing & Pattern Recognition, NTUA MSc (1990): Digital Signal Processing, University of Virginia Diploma (1987): Electrical Engineering, NTUA Her research interests span Digital Signal Processing (DSP), Spectral Analysis, Pattern Recognition (including neural networks and genetic algorithms), Biomedical Signal Processing, Wireless Sensor Networks for environmental monitoring, and E-Learning technologies. She has contributed to over 30 peer-reviewed publications, including work on EEG-based person identification, environmental sound classification, and educational data mining. Recent research emphasizes integrating machine learning into education and developing tools for environmental acoustic monitoring. She has collaborated on projects like the ESOUNDMAPS initiative, deploying wireless sensor networks for real-time environmental sound mapping. Her work also explores active learning methodologies in physics education and visualization of e-learning platform data. Maria advises courses at both undergraduate and postgraduate levels, including specialized programs in medical signal analysis and smart electronic systems. She actively participates in academic governance and has led several educational innovation projects funded by national and international grants.

• High-Energy Physics Detectors
• Digital System Design (FPGAs)
• Sensor Systems and Networks
• +3 more

Roles & Affiliations: Kyriakis-Bitzaros Efstathios is a Lecturer in the Department of Electrical and Electronic Engineering at the University of West Attica, part of the School of Engineering. He is affiliated with the Electronics and Computer Technologies Laboratory (ECTLab) and teaches courses like Digital System Design and Operating Systems. His office is located at ZB206, Building Z, Ancient Eleonas Campus. Holds a PhD in Electrical Engineering and a Physics degree from the University of Patras (1994 and 1987, respectively). Research Interests: Focuses on high-energy physics detector electronics, FPGA-based digital systems, sensor array interfaces, energy harvesting for microcontrollers, and optoelectronic interconnects. His work includes contributions to the ATLAS experiment at CERN, including the New Small Wheel detector and MicroMegas electronics. Publications Overview: Over 30 publications spanning topics like high-luminosity LHC upgrades, reconfigurable embedded systems, and optoelectronic simulations. Recent work includes advancements in detector electronics for CERN experiments and energy-efficient sensor networks. Labs & Teams: Leads the ECTLab, focusing on electronics and computer technologies. Collaborates on projects like the ATLAS detector upgrades and smart sensor systems.

Yunzhu LiView profile

Assistant Professor

• Robotic Perception
• Robot Learning
• Computer Vision
• +5 more

Yunzhu Li is an Assistant Professor of Computer Science at Columbia University, leading the Robotic Perception, Interaction, and Learning Lab (RoboPIL). Previously, she held positions at UIUC and Stanford, and completed her PhD at MIT under advisors Antonio Torralba and Russ Tedrake, with a bachelor's from Peking University. Her research focuses on robotic manipulation, embodied intelligence, and multi-modal perception, emphasizing physics-inspired models and foundation models for generalizable robot learning. RoboPIL develops structured world models for deformable objects, integrates multi-modal sensing (vision, touch, audio), and explores long-horizon embodied interactions. Key research directions include structured world models for manipulable objects, embodied intelligence through foundation models, and multi-modal perception fusion. Recent talks highlight advancements in robot learning, including workshops at ICRA, NUS, and RSS. Her lab actively engages students in PhD, Master's, and undergraduate programs, emphasizing technical strength and self-motivation. Scientific awards include the Best Paper Award at ICRA 2024 Workshop and Sony Faculty Innovation Award. Her work has been featured in venues like Science, Nature Electronics, and IEEE journals. Professional service includes organizing workshops on structured world models and embodied agents, and serving on program committees for CVPR, ICLR, and RSS.