Find Academic Supervisors

• Social Media Analysis
• Misinformation Dynamics
• Machine Learning Applications
• +5 more

Anees Baqir is an Assistant Professor of Data Science at Northeastern University London, affiliated with the CoMENS Faculty's Data and AI department. He is also a research fellow at the Complex Human Behavior (CHuB) lab at Fondazione Bruno Kessler (FBK), Trento, Italy, contributing to the European-funded AI-CODE project studying misinformation and polarization in social media. His research focuses on analyzing online information dynamics, polarization, and machine learning applications in healthcare, crime prediction, and language processing. Education details are not explicitly provided here, but his work bridges computer science and social sciences through interdisciplinary projects. He is part of the Complex Systems Society and collaborates globally, leveraging Northeastern University's transnational network across 13 campuses in the UK, US, and Canada. Research interests include: (1) Misinformation spread and polarization in digital ecosystems, (2) Machine learning for health analytics and behavioral prediction, (3) NLP innovations for Urdu and multilingual content analysis, (4) Spatio-temporal crime modeling for smart cities, and (5) Computational social science methods for political and societal dynamics. His recent publications span 2020–2025, exploring topics like Twitter-based PTSD detection, Urdu language processing systems, and AI-driven crime prediction. His work frequently intersects technical methodologies with societal impact, such as analyzing polarization in Pakistan’s political discourse or developing frameworks for university course scheduling. He holds no explicitly listed academic awards but is actively involved in research initiatives addressing global challenges like misinformation and public health surveillance. His advisory roles and grant activities are not detailed here, though his CHuB lab affiliation suggests collaborative funding opportunities. Key affiliations include the CHuB lab (FBK, Italy), Complex Systems Society, and Northeastern’s global network. He contributes to projects like AI-CODE, focusing on federated social media analysis and European misinformation trends.

• 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

Mahsa SalehiView profile

Senior Lecturer

• Data Mining
• Machine Learning
• Time Series Analysis
• +5 more

Mahsa Salehi is a Senior Lecturer in the Department of Data Science & AI at Monash University’s Faculty of Information Technology. She holds a PhD in Computer Science from the University of Melbourne and previously served as a postdoctoral researcher at IBM Research Australia. Her research focuses on data mining, machine learning, and time series analysis, with applications in healthcare, cybersecurity, and smart grids. Education: PhD in Computer Science, University of Melbourne (2016) MSc in Software Engineering, Amirkabir University of Technology (2009) BSc in Information Technology & Computer Engineering, Amirkabir University of Technology (2008/2006) Her key research interests include multi-dimensional time series analysis, anomaly detection, brain-inspired machine learning, and non-stationary data learning. She has led or contributed to over 40 research outputs, including high-impact papers on anomaly detection frameworks (e.g., CARLA) and EEG representation learning (EEG2Rep). Her work bridges theoretical advancements with practical applications, such as detecting urinary anomalies in seniors and securing smart grid systems against cyberattacks. Dr. Salehi has secured significant grants, including AU$246K from ARENA (2019–2021) and AU$30K from Emotiv Research (2022–2024). She is an Associate Editor of the ACM Transactions on Knowledge Discovery from Data and has been recognized with awards like the ICDM 2022 Best Paper Runner-Up and IBM’s Manager’s Choice Award (2016). Grants & Projects: Privacy-Preserving Machine Learning (CSIRO Next Gen, 2023–2027) AI for Clean Energy & Sustainability (Monash, 2023–2027) Deep Learning for Brain EEG Analysis (PhD Top-Up, 2022–2025) Her contributions extend to editorial and patent activities, including roles at IBM Research and collaborative projects with industry partners like Emotiv.

Urszula Ala-KarviaView profile

Researcher

• Social Sciences
• Statistics and Probability
• Food Science
• +3 more

Urszula Ala-Karvia is a Doctoral Researcher at the Ruralia Institute Seinäjoki , part of the Faculty of Agriculture and Forestry at the University of Helsinki . She is affiliated with the Helsinki Institute of Sustainability Science (HELSUS) and actively contributes to research on sustainable food systems, demographic analysis, and statistical modeling. Her research interests include urban-rural migration patterns , household structure changes , sustainable public meal provision , energy policy analysis , and statistical demography . She employs both quantitative and qualitative methods to study socio-economic phenomena across Finland, Poland, and the Baltic Sea Region. Recent publications focus on suburbanization effects in Poland , electricity price structures in EU countries , and digital innovation hubs in Arctic regions . Her work addresses sustainability challenges in public catering , climate-smart dairy transitions , and gender equity in rural entrepreneurship . She participates in EU-funded projects such as GENGREEN (2024-2026) and StratKIT+ (2022-2024), and contributes to interdisciplinary collaborations through conferences and workshops across Nordic-Baltic regions.

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.

Anne PetitjeanView profile

Associate Professor

• DNA computing
• Genetics
• Supramolecular chemistry
• +7 more

Dr. Anne Petitjean is an Associate Professor in the Department of Chemistry at Queen's University, affiliated with the Faculty of Arts and Science. She holds a cross-appointment as an Associate Member of the Division of Cancer Clinical Trials at the Queen's Cancer Research Institute. Education: B.Sc. in Physical Chemistry from École Normale Supérieure (Lyon, France), M.Sc. in Advanced Organic Chemistry from Université Claude Bernard (Lyon), and Ph.D. in Supramolecular Chemistry under Nobel Laureate Prof. Jean-Marie Lehn. Postdoctoral research at Caltech with Prof. Jacqueline K. Barton focused on DNA-targeting small molecules. Research focuses on supramolecular chemistry, molecular recognition, and drug delivery systems targeting non-canonical nucleic acid structures like guanine quadruplexes. Key interests include 'smart' drug delivery for cancers and infections, and molecular design for targeted therapeutics. Her work integrates organic synthesis, coordination chemistry, and dynamic systems to create bioactive molecules and advanced materials. Notable projects include metallomacrocycles for quadruplex recognition and stimuli-responsive drug delivery mechanisms.

• Plant Physiology
• Crop Science
• Water Stress in Crops
• +3 more

Yazen Al-Salman is a Postdoc in Crop Physiology, focusing on plant physiological responses to environmental stresses, particularly in sorghum. His research examines water use efficiency, photosynthesis under stress, and anatomical adaptations in crops. He leads the AdRicce Adaptive Rice for Climate Smart Agriculture project (2022–2026), aiming to enhance crop resilience under climate change conditions. His research interests include plant physiology, crop stress resilience, and sustainable agriculture. Key areas are water use efficiency in C₄ crops like sorghum, stomatal and gas exchange dynamics, and the impact of environmental factors such as temperature and CO₂ levels on photosynthesis and biomass production. He investigates anatomical and physiological mechanisms that enhance crop adaptation to water and heat stress. As PI of the AdRicce project, he collaborates with experts to develop climate-resilient rice varieties. This project, active since November 2022, focuses on advancing agricultural practices for future climate challenges.

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.

Tafsir Matin JohanssonView profile

Assistant Professor

• Ocean Governance
• Techno-regulatory Governance
• Arctic Policy
• +3 more

Dr. Tafsir Matin Johansson is an Assistant Professor (Research/Ocean Sustainability, Governance & Management) at the WMU-Sasakawa Global Ocean Institute. He holds a PhD in Maritime Affairs from WMU, an MSc in International Maritime Law from Lund University, and an LL.B. (Honours) from the University of Chittagong. His interdisciplinary research focuses on ocean governance, techno-regulatory frameworks for robotics, Arctic policy, IUU fishing, marine debris, and gender equality in ocean science. Recent work examines climate adaptation in shipping, remote inspection technologies, and sustainable port management. Dr. Johansson has led projects funded by Transport Canada, the European Union, and Swedish/Danish agencies, addressing oil spill response, underwater noise, and autonomous systems. His publications frequently analyze regulatory innovation for emerging technologies and crisis management strategies in maritime operations.

Yaning LiView profile

Associate Professor

• Mechanics of Materials
• Bio-inspired Engineering
• Additive Manufacturing
• +5 more

Yaning Li is an Associate Professor at Northeastern University's Department of Mechanical and Industrial Engineering, part of the College of Engineering. Her research focuses on mechanics of materials, bio-inspired engineering, additive manufacturing, and mechanical metamaterials. She holds a PhD from the University of Michigan and dual MS degrees from the same institution. Education: PhD (2007), University of Michigan; Dual MS (2006), University of Michigan Affiliations: Mechanics, Biomimetics, and 3D Printing Research Lab; American Physical Society (APS), Society of Naval Architects and Marine Engineers (SNAME) Her research explores bio-inspired materials, energy absorption mechanisms, and advanced manufacturing techniques. Key projects include developing auxetic metamaterials and bio-inspired sutural designs. Grants & Awards: NSF CAREER Award (2016), AFOSR SFFP Fellowship (2013), IUTAM Travel Award Recent Recognition: 2023/2024 Stanford Top 2% Cited Scientists Advises a diverse group of students and postdocs, including current PhD candidates Lin Gu and Yunzheng Yang. Her lab focuses on experimental and computational studies of novel materials, with applications in engineering and biomedicine. Labs/Teams: Mechanics, Biomimetics, and 3D Printing Research Lab Patents: 3D auxetic composite structures, bio-inspired metamaterials

• Optical Fiber Sensors
• Photonics
• Laser Technology
• +3 more

Dr Timothy Lee is a Senior Research Fellow at the University of Southampton, affiliated with the Smart Lasers and Special Fibres research group. His work focuses on advancing optical fiber sensor technologies, laser machining, and photonics applications in composite materials. He currently supervises three PhD students in the Optoelectronics Research Centre (ORC). Research interests include distributed optical fiber sensors, laser-machined optical structures, and the integration of photonics into advanced manufacturing processes. His recent publications highlight innovations in fiber fabrication techniques, composite material monitoring, and compact sensor design. Timothy collaborates with interdisciplinary teams on projects involving structural health monitoring and nanophotonic devices. No specific awards are listed, but his active involvement in high-impact conferences and journals underscores his contributions to the field.

Shaoyu ZhaoView profile

Research Fellow

• Advanced composite structures
• Mechanical metamaterials
• Graphene nanocomposites
• +3 more

Dr. Shaoyu Zhao is a Research Fellow (Level A) at RMIT University's School of Engineering. His research focuses on advanced composite structures, mechanical metamaterials, graphene nanocomposites, and molecular dynamics simulations. He holds an ARC DECRA Fellowship and has over 40 journal publications with 2000+ citations (h-index 26). Awards include the ICES2024 Best Paper Award and 2025 DECRA. He supervises Masters/PhD students in areas like metaconcrete and functionally graded structures. Editorial roles include Early Career Board Member for Engineering Structures (Q1), International Journal of Structural Integrity (Q1), and others. Teaching includes the course MIET1076 - Mechanical Vibrations. His work bridges nanoscale simulations (e.g., graphene interfaces) with macro-scale engineering applications (e.g., 3D-printed composites and metamaterial energy absorption). Research spans multi-physics phenomena in perovskite materials and machine learning-driven material analysis. Key Projects: Metaconcrete composites, origami metamaterials, graphene-reinforced nanocomposites Lab Focus: Multiscale modeling for aerospace composites and smart materials

Harold ParkView profile

Professor

• Computational Nanomechanics
• Mechanics of two-dimensional nanostructures
• Mechanics of soft, active materials
• +5 more

Harold S. Park is a Professor of Mechanical Engineering and Materials Science & Engineering at Boston University. He leads research in computational nanomechanics, focusing on nanowire mechanics, soft materials, and coupled electromechanical phenomena. Park earned his PhD from Northwestern University in 2004 and has held faculty positions since 2007. His work bridges atomistic simulations and continuum mechanics, addressing challenges in nanoscale material behavior and energy conversion. Education: PhD, Northwestern University (2004) MS, Northwestern University (2001) BS, Northwestern University (1999) Research Interests: Park’s lab explores topological mechanics, phononic metamaterials, and machine learning-driven materials design. Key areas include surface-dominated plasticity in nanomaterials, flexoelectricity in 2D materials, and energy harvesting via crumpling mechanics. His team develops multiscale models to predict mechanical behavior across length scales. Publications: Over 150 peer-reviewed articles span topics like nanowire deformation mechanisms, nanoresonator dynamics, and topology-optimized metamaterials. Recent work highlights include enhancing nanowire Q-factors via strain tuning and designing non-reciprocal elastic systems. Awards: NSF CAREER Award (2007) DARPA Young Faculty Award (2008) ASME Fellow (2016) John Argyris Award (2016) Advising & Teams: Park mentors graduate students and postdocs in experimental and computational mechanics. Notable advisees include Dr. Penghui Cao (UC-Irvine faculty) and Dr. Saman Seifi. His lab collaborates with industry partners on nanomaterials for sensors and energy systems. Labs: Affiliated with the Materials by Design Center at BU, focusing on computational and experimental nanomechanics. Active in editorial roles for journals like Journal of Applied Mechanics and Nano Letters .

Indrabati BhattacharyaView profile

Assistant Professor

• Dynamic treatment regimes
• Machine Learning
• Quantile Regression
• +3 more

Indrabati Bhattacharya is an Assistant Professor in the Department of Statistics at Florida State University. Their research focuses on advanced statistical methodologies including dynamic treatment regimes, machine learning applications in healthcare, and Bayesian asymptotics. Bhattacharya’s work emphasizes nonparametric Bayesian approaches for addressing partial compliance in sequential decision-making frameworks and developing robust quantile regression techniques. Key research areas include: Quantile Regression and Shape-Restricted Inference Bayesian Nonparametric Methods for Multivariate Analysis Optimization of Dynamic Treatment Regimes in Clinical Trials Development of Marginal Structural Models for Sequential Treatment Decisions Recent contributions highlight Bayesian Q-learning algorithms for policy optimization under partial compliance scenarios, as well as innovative Gibbs posterior frameworks for multivariate quantile inference. Bhattacharya has also applied Bayesian techniques to sports analytics, notably exploring the Duckworth-Lewis method in cricket. Current research trends emphasize integrating machine learning with Bayesian statistical theory to address complex real-world problems in healthcare and decision science. No academic awards or grants are explicitly listed in available materials.

Chi ZhouView profile

Associate Professor

• Additive Manufacturing
• Rapid Prototyping
• 3D Printing Technologies
• +4 more

Chi Zhou is an Associate Professor and Director of Graduate Studies in the Department of Industrial and Systems Engineering at the University at Buffalo. He also holds an adjunct appointment as Adjunct Associate Professor in the Department of Computer Science and Engineering. His research focuses on additive manufacturing, rapid prototyping, and advanced material systems. Zhou has a PhD in Industrial and Systems Engineering (2011) from the University of Southern California, with additional degrees in Computer Science and Industrial Engineering. His work bridges manufacturing processes, material science, and computational methods. Key research areas include inkjet printing process optimization, hydrogel-based 3D printing, thermal insulation materials from agricultural byproducts, and smart material systems like magnetorheological metamaterials. He has pioneered methods for real-time process monitoring and defect detection in additive manufacturing. Zhou’s recent publications emphasize sustainable manufacturing solutions, such as bio-based insulation materials and cost-effective silica aerogel production. His contributions also span energy harvesting (e.g., conductive hydrogel generators) and advanced structural designs using triply periodic minimal structures. He has led interdisciplinary projects integrating digital twins for cyber manufacturing systems and geometric deep learning for mass customization applications.