Find Academic Supervisors

Tohid DidarView profile

Associate Professor

• Biomedical Engineering
• Microfluidics
• Bio-functional Interfaces
• +7 more

Dr. Tohid Didar is an Associate Professor in Mechanical Engineering and Canada Research Chair in Nano-biomaterials at McMaster University, affiliated with the McMaster School of Biomedical Engineering. His work focuses on bio-functional interfaces, microfluidics, and organ-on-chip technologies for diagnostics and therapeutics. He holds a B.Sc. from Sharif University of Technology (2004), a Ph.D. from McGill University (2013), and a postdoctoral fellowship at Harvard University's Wyss Institute (2016). Education: B.Sc., Sharif University of Technology; Ph.D., McGill University; Postdoc, Harvard University Research: Bio-inspired materials, lab-on-chip devices, antimicrobial coatings, and organ-on-chip platforms for drug discovery and personalized medicine Awards: Canada Research Chair in Nano-biomaterials His lab develops innovative biomedical devices, including self-cleaning menstrual cups (Bfree Cup), bacteriophage-based food decontamination systems, and pathogen-sensing smart fabrics. Recent breakthroughs include rapid bacterial detection via color-changing tests and floral-shaped phages enhancing antimicrobial efficacy. Dr. Didar advises graduate students in biomedical engineering, with notable advisees Akansha Prasad and Shadman Khan. His work spans over 50 peer-reviewed publications and patented technologies in microfluidics and bio-functional interfaces.

• Urban Planning
• Transportation Engineering
• Urban Informatics
• +4 more

Professor Piyushimita (Vonu) Thakuriah is a Visiting Professor of Urban Studies in the School of Social & Political Sciences and Ch2m Chair of Transport at the University of Glasgow. She directs the UK ESRC Urban Big Data Centre (UBDC), a national initiative fostering innovations in sustainable urban development through Big Data. Her roles include affiliated professorship in the School of Engineering and directorship of the UBDC, leading a 7-university consortium. Her research focuses on smart, socially-just urban transport systems, Urban Informatics, and Big Data applications in city planning. Key interests include transport equity, mobility technologies, and the societal impacts of AI/automation. She has authored over 170 publications, including books on transportation technology and urban data analytics. Thakuriah has secured £25M+ in grants as PI, addressing topics like low-wage worker mobility, disability access, and data-driven urban policies. She co-convenes the MSc in Urban Transport and teaches transport planning. Her international collaborations span Malaysia, China, India, and Europe. She advises governments, including testimony to US Congress and UK Parliament. Awards: European Commission Marie Curie Fellowship, Ch2m Chair, NSF Fellowships. Grants: ESRC UBDC funding, NSF, USDOT, and EU grants totaling £63M+ across roles. Labs/Teams: Leads UBDC with initiatives like iMCD (Integrated Multimedia City Data) and SUDS (Spatial Urban Data System).

Sao Mai NguyenView profile

Lecturer

• Robotics
• Artificial Intelligence
• Cognitive Science
• +7 more

Sao Mai Nguyen is an Enseignante-Chercheuse (Lecturer-Researcher) at ENSTA Paris, affiliated with the Unité d'Informatique et d'Ingénierie des Systèmes (U2IS). Her research bridges robotics, artificial intelligence, and cognitive science, focusing on cognitive developmental robotics, intrinsic motivation in learning, and human-robot interaction. She explores how robots can adapt to social and physical environments, particularly in physical rehabilitation and smart home applications. Research Interests: Nguyen’s work integrates machine learning, robotic embodiment, child psychology, and neuroscience. Key areas include human-robot interaction, assistive robotics for chronic low back pain rehabilitation, activity recognition in smart homes using IoT sensors, and intrinsic motivation-driven learning frameworks. Recent Contributions: Her 2024 HDR thesis on reinforcement and imitation learning for sequential tasks underscores her expertise in strategic learning systems. Recent publications address bio-inspired robotics models, hierarchical reinforcement learning, and benchmark environments like 'Open the Chests' for activity recognition. Collaborations include projects like the R-COOL randomized trial for robot-coached physical exercises. Labs & Teams: She contributes to the U2IS lab, advancing interdisciplinary research in AI and robotics. Her work spans experimental platforms for sensorimotor learning and healthcare robotics applications.

Wonbong ChoiView profile

Professor

• Materials Science
• Energy Storage
• Nanomaterials
• +3 more

Dr. Wonbong Choi is a University Distinguished Research Professor at the University of North Texas with joint appointments in the Department of Materials Science and Engineering and Mechanical Engineering. His research focuses on nanomaterials, energy storage systems (particularly lithium-sulfur and zinc-ion batteries), additive manufacturing of composites, and neuromorphic computing devices. He was elected Fellow of the National Academy of Inventors in 2024 for his contributions to materials innovation. Research interests span materials synthesis, electrochemical characterization, and device integration of 2D materials like MXenes and transition metal dichalcogenides. Key areas include: Nanomaterial design for batteries and supercapacitors 3D-printed sensors and structural composites Defect engineering for neuromorphic computing His recent publications highlight consistent themes in MXene synthesis optimization, advanced battery architectures, and multifunctional composites. Article trends show increasing focus on in situ characterization, scalable manufacturing of nanomaterials, and AI-driven materials design. Awards: Fellow, National Academy of Inventors (2024) Collaborates with research groups at Oak Ridge National Laboratory and leads projects on lightweight composites and energy storage systems.

Asmus Skar ChristiansenView profile

Associate Professor

• Pavement Engineering
• Geotechnical Engineering
• Sensing Technologies
• +4 more

Asmus Skar Christiansen is an Associate Professor in Pavement Engineering at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU Sustain). He serves as Head of Study for the Nordic Master in Cold Climate Engineering programme and lectures on pavement engineering, Arctic road construction, and foundation design. His academic career at DTU spans from Postdoc researcher (2017-2019) to Assistant Professor (2020-2023) and current Associate Professor position since 2023. His research centers on pavement technology and geotechnics with specialization in: Development of advanced testing and modeling techniques for pavements Integration of modern sensing technologies in civil infrastructure Computational mechanics for soil-structure interaction Sustainable materials for cold climate engineering Recent work demonstrates a clear shift toward IoT-enabled monitoring systems and data-driven pavement assessment, with 80% of 2023-2025 publications focusing on sensor integration and machine learning applications. Notable scientific contributions include: Creation of open-source datasets (LiRA-CD, RIVA) for road condition modeling Development of thermomechanical models for heated pavements Innovations in waste soil reuse for infrastructure He actively supervises PhD candidates across multiple projects including GREENPIPE (self-sensing pipe systems) and urban pavement analysis, while maintaining industry consultancy through COWI A/S collaborations. Christiansen also contributes to sustainable infrastructure through DTU's alignment with UN SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities).

Zoran GajicView profile

Professor

• Control Systems
• Energy Systems
• Wireless Communications
• +4 more

Zoran Gajic is a Professor of Electrical and Computer Engineering at Rutgers University, where he has taught since 1984. He holds academic leadership roles including Graduate Program Director for the Electrical and Computer Engineering Department and President of the Rutgers AAUP-AFT Faculty Union. His expertise spans controls systems, energy systems (including solar, wind, and smart grids), wireless communications, and networking. Education: B.S. and M.S. in Electrical Engineering from University of Belgrade, followed by M.S. in Applied Mathematics and Ph.D. in Systems Science Engineering from Michigan State University (1984). Research focuses on control theory applications for energy systems and communication networks. He has authored/coauthored nearly 100 journal papers and eight books, including best-selling titles like Linear Dynamic Systems and Signals (translated into Chinese) and Lyapunov Matrix Equation in Systems Stability and Control (republished by Dover). His work includes innovations in multirate control systems, singular perturbation methods, and reinforcement learning applications. Professional recognitions include editorial roles across nine journals, five guest-edited special issues, and plenary lectures at international conferences. Ten of his 17 Ph.D. advisees hold faculty positions globally. Beyond academia, he is a chess master with Life Master ranking from the U.S. Chess Federation and World Chess Federation certification. Key contributions include foundational work on optimal control for renewable energy systems, sliding mode control algorithms, and system decomposition techniques. His research has been supported by NSF and industry partners like AT&T Bell Labs. He leads the Rutgers Center for Systems and Controls (SYCON) as Associate Director and actively contributes to standards through IEEE and IEC initiatives, particularly in power system protection and control system reliability.

• Wireless Sensor Networks
• Cyber-Physical Systems
• Network Protocols
• +3 more

John Harrison Kurunathan is an Integrated PhD Researcher affiliated with the CISTER Research Centre at the University of Porto, Portugal. He holds a PhD in Electrical and Computer Engineering (2021), a Master's in Very Large-Scale Integration (2014), and a Bachelor's in Electronics and Communication (2012). Education: PhD (2021) - University of Porto, Portugal MSc (2014) - SSN College of Engineering, Anna University BSc (2012) - SRM University His research focuses on Wireless Sensor Networks (WSNs) , Cyber-Physical Systems (CPS) , and Automotive Networks , with an emphasis on Quality-of-Service (QoS) optimization, secure communication, and vehicular platooning. Notable projects include SafeCOP for safety-related CO-CPS and work on IEEE 802.15.4e DSME networks. Recent publications (2023-2025) span areas like Visible Light Communication , Vehicular Security , and Machine Learning in UAV Operations , reflecting his interdisciplinary work bridging embedded systems and transportation technologies. Scientific Awards: Best oral communication Award (in ex aequo) at DCE 2019 Reviewing Roles: Conference: ICCPS, EWSN, MSN, RTN Journal: IEEE ACCESS, IEEE Transactions on Vehicular Technology, ACM Sigbed Harrison is actively involved in workshops and conferences, including chairing roles at WIN-WIN-4S 2024 and technical demonstrations at WoWMoM 2023. His work appears in venues like IEEE Transactions on ITS, IEEE COMST, and PDP 2025.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +5 more

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

Jin LuView profile

Assistant Professor

• Machine Learning
• Optimization
• Bio-informatics
• +6 more

Jin Lu is an Assistant Professor at the University of Georgia's School of Computing, part of the Franklin College of Arts & Sciences. He earned his Ph.D. (2019) and M.S. (2019) in Computer Science and Engineering from the University of Connecticut. Prior to his current role, he served as an Assistant Professor at the University of Michigan–Dearborn (2019–2023). Educational Background: Ph.D. in Computer Science and Engineering, University of Connecticut, 2019 M.S. in Computer Science and Engineering, University of Connecticut, 2019 Research Interests: Dr. Lu focuses on machine learning, optimization, bio-informatics, and smart mobility. His work spans federated learning, healthcare applications (e.g., depression and BMI monitoring), IoT systems, and computer vision. Recent projects explore AGI's potential in medical and educational contexts, leveraging models like CycleGAN and reinforcement learning. Grants & Funding: Develop digital brains to advance portable diagnosis of neurological conditions (Google, 2025) Lab/Teams: While specific lab affiliations are not explicitly stated, his research involves collaborations in interdisciplinary areas such as health informatics and smart mobility.

Marco ConsalesView profile

Associate Professor

• Electronics
• Optics
• Fiber Optic Sensors
• +3 more

Marco Consales is an Associate Professor at the Department of Engineering, University of Sannio. His research focuses on fiber optic sensors, with applications in structural health monitoring, radiation detection, and biomedical sensing. He has collaborated with CERN on projects involving radiation-tolerant sensors and beam pipe structural monitoring. Key areas include lab-on-fiber technology for cancer biomarker detection, soil moisture sensing, and aerospace structural monitoring. Education: Formal degrees not explicitly listed, but his academic position implies doctoral qualifications in Engineering/Electronics. Research Interests: Fiber optic sensors, nanotechnology integration, biomedical applications, environmental monitoring, and aerospace engineering. His work spans over 250 publications, with notable contributions in optical fiber meta-tips, radiation dosimetry, and soil water content monitoring. He has developed innovative sensors for CERN experiments and precision agriculture. His lab's work includes lab-on-fiber platforms for point-of-care diagnostics and advanced materials characterization.

• Robotics
• Machine Learning
• IoT Applications
• +4 more

Senthil Arumugam Muthukumaraswamy is an Associate Professor at the School of Engineering & Physical Sciences, Heriot-Watt University. His research focuses on robotics, machine learning, IoT applications, and automation, with contributions to the UN Sustainable Development Goals in areas like healthcare and agriculture. His work spans smart navigation systems for healthcare robots, surveillance systems for livestock health, facial recognition algorithms, and automated agricultural solutions like aquaponics and vertical farming. He explores path-planning algorithms for firefighting and military robotics, emphasizing AI-driven problem-solving in hazardous environments. Research trends include integrating bio-inspired algorithms, neural networks, and IoT for real-world applications such as elderly health monitoring, smart home automation, and energy-efficient systems. Collaborations span multiple countries, reflecting global interest in his interdisciplinary approaches. No scientific awards are listed, but his extensive publication record highlights active grant-funded research in robotics, automation, and renewable energy. He leads projects in robotics design, control systems, and sustainable farming technologies, contributing to both academic and industry partnerships. Labs and teams include collaborations on robotics, AI, and IoT systems, though specific lab names are not detailed in the provided texts.

• Intelligent Transportation Systems
• Wireless Sensing
• Deep Learning
• +3 more

Hadi EL ZEIN is a Researcher affiliated with the Université Technologique de Troyes (UTT). His work focuses on intelligent transportation systems, wireless sensing technologies, and healthcare applications leveraging machine learning. He specializes in human activity recognition using Wi-Fi signals and deep learning models, with notable contributions to fall detection and driver drowsiness alert systems. His research integrates real-time processing, signal analysis, and lightweight neural networks for practical deployment in smart environments. Recent publications highlight advancements in applying convolutional neural networks (CNN) to analyze wireless channel state information (CSI) for health monitoring and transportation safety. Contact: hadi.el_zein@utt.fr

Montserrat RosView profile

Associate Professor

• Embedded Systems
• Sensor Networks Data Fusion
• Cyber-Physical Systems
• +6 more

Montserrat Ros is an Associate Professor and Associate Dean (Education) at the School of Electrical, Computer and Telecommunications Engineering within the Faculty of Engineering and Information Sciences at the University of Wollongong, Australia. She has been with the university since 2006, initially joining as a Lecturer in Computer Engineering and progressing to her current senior academic and leadership roles. Her educational background includes: B.E.(Hons1)/B.Sc. double degree majoring in Computer Systems Engineering and Mathematics from the University of Queensland (2000) Ph.D. degree in Computer Engineering from the University of Queensland (2007) Professor Ros's research focuses on the intersection of embedded computing systems and practical engineering applications. Her work spans several key areas including embedded systems design, sensor network data fusion, cyber-physical systems development, and innovative approaches to engineering education. She has particular expertise in sensor-based localization techniques, computer architecture optimization, and code compression methodologies for resource-constrained environments. More recently, her research has expanded into machine learning applications for constrained systems and Internet of Things implementations. Analysis of her recent publication record reveals a strong emphasis on Internet of Things networks, UAV-based systems, and applications of artificial intelligence in both engineering education and manufacturing processes. Her work demonstrates a consistent pattern of bridging theoretical computer engineering concepts with practical real-world applications across diverse domains including healthcare, environmental monitoring, and industrial automation. Her significant contributions to academia have been recognized through numerous prestigious awards: 2019: AAUT Citation for Outstanding Contribution to Student Learning 2018: IEEE TALE 2018 Meritorious Service Award 2018: Featured in UOW Leadership in Education Booklet 2017: UOW Vice Chancellor's Award for Outstanding Contribution to Teaching and Learning 2016: UOW Women of Impact for inspiring young women in STEM 2015: UOW Vice Chancellor's Interdisciplinary Research Excellence Award 2012 & 2007: UOW Vice Chancellor's Awards for Teaching Excellence 2011: UOW Vice Chancellor's Award for Community Engagement Senior Fellow of WATTLE (Wollongong Academy for Tertiary Teaching & Learning Excellence) Professor Ros has secured substantial research funding across multiple projects spanning from 2006 to the present. Her grant portfolio demonstrates a consistent focus on engineering education innovation, sensor network development, and practical applications of embedded systems. Notable projects include "The AI Tutor: Enabling 24x7 student support across engineering" (2024), "AI/IoT-powered Airborne System for Monitoring Water Level and Tidal Floods" (2023), and "Smart Eye: Airborne and AI-Driven Assessment Solution of Sugarcane" (2022). She actively supervises HDR students and has completed multiple successful candidatures. Her leadership extends beyond research and teaching, as evidenced by her role as Associate Dean (Education) for the Faculty of Engineering and Information Sciences. She is also actively involved in community engagement through volunteering with the State Emergency Service (Wollongong SES) and Athletics Wollongong Club.

• Robotics
• Human-Robot Interaction
• Autonomous Agent Systems
• +3 more

Mauro Dragone is an Associate Professor at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Sensors, Signals & Systems. He holds a BSc in Computer Science from Bologna University (1999) and a PhD from University College Dublin (2009). Before academia, he worked as a software developer and project manager. His research focuses on robotics, human-robot interaction, IoT, and Ambient Assisted Living (AAL), with leadership roles in EU projects like METRICS/HEART-MET and the OpenAAL initiative. He co-directs the MSc Robotics program and established the Robotic Assisted Living Tested lab within the UK National Robotarium. Key research interests include assistive robotics for frailty, healthcare robotics, and self-adaptive robotic systems. Notable contributions include the FP7 RUBICON project (2011-2014) and the Cognitive Assistive Robotic Environment (CARE) group. He has received awards such as the 2024 Principal's Research Impact Award and 2022 Research Team of the Year. Recent articles emphasize healthcare applications, modular robotics, and trustworthy AI. His work aligns with UN SDGs addressing healthy aging and sustainable cities.

Ayusman SenView profile

Professor

• Nanotechnology
• Materials Science
• Chemical Biology
• +7 more

Ayusman Sen is the Verne M. Willaman Professor of Chemistry and Distinguished Professor of Chemistry at Pennsylvania State University. He holds a joint appointment in the Department of Chemical Engineering. His research focuses on self-powered nano/micromotors, dynamic materials, and enzyme-driven systems, with applications in smart materials and active matter. Sen’s work integrates chemical synthesis, catalytic energy harvesting, and emergent phenomena to create adaptive systems capable of performing complex tasks. Education: B.Sc. (Honours), University of Calcutta, India (1970) M.Sc., Indian Institute of Technology, Kanpur, India (1973) Ph.D., University of Chicago, USA (1978) Research Interests: Design of self-powered nanomotors and micropumps Chemically controlled assembly and motion of colloidal systems Enzyme cascade systems for programmable behavior Active matter and collective dynamics Key Contributions: Pioneered enzyme-powered micromotors for biomedical and environmental applications Developed theoretical frameworks for chemotactic assembly and non-equilibrium systems Engineered autonomous fluid-pumping systems using multi-enzyme networks Awards and Honors: Langmuir Lecture Award (American Chemical Society) Humboldt Prize (Alexander von Humboldt Foundation) Fellow of the Royal Society of Chemistry Paul J. Flory Award (IBM) Labs and Teams: His research group, the Sen Research Group, focuses on interdisciplinary projects at the interface of chemistry, materials science, and engineering. Current efforts explore light-driven systems, programmable fluidics, and bioinspired materials.