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Rogelio Hernández-LópezView profile

Assistant Professor

• Synthetic Biology
• Immune Engineering
• Chemical Physics
• +3 more

Rogelio Hernández-López is an Assistant Professor in the Department of Bioengineering at Stanford University, with a joint affiliation in Genetics. He joined Stanford's Bioengineering Department following a postdoctoral fellowship at the University of California San Francisco (UCSF), where he focused on Synthetic Biology and Immune Engineering. His academic journey includes a Ph.D. in Chemical Physics from Harvard University (2015) and a B.S. in Chemistry from the National Autonomous University of Mexico (2008). His research interests span interdisciplinary areas at the intersection of bioengineering and genetics, particularly leveraging synthetic biology tools for immune system modulation and advanced material design. The Hernández-López Lab at Stanford is actively engaged in developing novel strategies for therapeutic applications in precision medicine and biomaterials. Education details include: Postdoctoral Fellow: UCSF (2022), Synthetic Biology & Immune Engineering Ph.D.: Harvard University (2015), Chemical Physics B.S.: National Autonomous University of Mexico (2008), Chemistry For collaboration or inquiries, visit the Hernández-López Lab Site .

Tugra Nazli AkarsuView profile

Lecturer

• Sensory Marketing
• Digital Marketing
• Sharing Economy
• +3 more

Dr. Tugra Nazli Akarsu is a Lecturer in Marketing at the University of Southampton's Southampton Business School, serving as Programme Leader for the MSc Digital Marketing. She is affiliated with the Centre for Marketing Research and holds a Fellowship of the Higher Education Academy. Her research explores sensory marketing, digital marketing, and sharing economy dynamics, focusing on consumer decision-making, sensorial stimuli, and socio-cultural influences. Education: PhD in Business (Middlesex University London), BSc in Business Administration (Koç University), MSc in Business Administration (Kadir Has University) Roles: Editor for Journal of Creative Communications (2022–present), Reviewer for Industrial Marketing Management (2019–2022) Her work bridges sensory and digital marketing, analyzing topics like autonomous vehicle trust, privacy in digital platforms, and circular economy innovations. Awards include the Dean Excellence Scholarship during her PhD. Teaching includes modules on digital marketing applications and media analytics. Current PhD supervisees: Hanjia Duan (Business Studies) and Sara Narimanfar (Business Studies).

• Human Perception
• Social Behavior Modeling
• Virtual Reality
• +3 more

Dr. Chen Zhou is a Lecturer at the University of Glasgow's School of Psychology & Neuroscience. His research integrates psychophysical methods, virtual reality (VR) technologies, and computational modeling to study human perception and action in social contexts. He focuses on modeling social behavior for applications in intelligent virtual agents and social robots, with expertise in Unreal Engine for VR development and robotic experimental setups. Research interests include social interaction dynamics, human-robot interaction, and behavior translation into algorithms. Notable work explores how virtual human interactions influence real social networks and collision avoidance strategies in crowds. His interdisciplinary approach bridges psychology, robotics, and computational science. Publications include contributions to Nature Machine Intelligence and Nature Human Behaviour , highlighting advancements in social locomotion models and crowd behavior analysis. Supervision of students like Rachael E. Jack underscores his commitment to training future researchers. Leveraging Unreal Engine and robotic platforms, Dr. Zhou's work aims to enhance the humanization of social robots and virtual agents through behavior-based algorithms and experimental validation.

Yuan DingView profile

Associate Professor

• Wireless Communications
• Directional Modulation
• Antenna Design
• +2 more

Dr. Yuan Ding is Associate Professor at Heriot-Watt University's School of Engineering & Physical Sciences, specializing in directional modulation, antenna design, and RF systems within the Institute of Sensors, Signals & Systems. Research advances wireless communication security through directional modulation techniques, with focus on RF fingerprinting, backscatter communication, and integrated sensing-communication systems. Recent work explores quantum-enhanced security and mmWave implementations. Publications demonstrate leadership in directional modulation research, with contributions to antenna array design, physical layer security, and nonlinear transmitter modeling. Work bridges theoretical concepts with practical RF hardware implementations.

Alireza Tamaddoni-NezhadView profile

Associate Professor

• Machine Learning
• Artificial Intelligence
• Computational Intelligence
• +5 more

Dr. Alireza Tamaddoni-Nezhad is a Reader (Associate Professor) in Machine Learning and Computational Intelligence at the University of Surrey's School of Computer Science and Electronic Engineering. He holds a PhD from Imperial College London and is a Fellow of the Higher Education Academy (FHEA). His research focuses on Machine Learning, particularly Inductive Logic Programming (ILP), and its applications in ecology, medicine, and autonomous systems. Education: BSc, MSc, DIC (Imperial College London), PhD (Imperial College London). Research interests emphasize symbolic-probabilistic approaches for ecological network discovery, explainable AI, and combining ILP with neural networks. He leads projects like the EPSRC-funded COMFOCUS initiative (2018–2022, £1.6M), focusing on food consumer communities. His work bridges theory and real-world applications in agriculture, healthcare, and autonomous systems. He supervises postdoctoral researchers such as Dr. Stassa Patsantzis and Dr. Dany Varghese, both working on explainable AI under EPSRC grants. Teaching includes leading modules like Machine Learning and Data Mining (COMM055). His Human-Machine Learning and Reasoning Lab explores human-AI collaboration for decision-making in legal and safety contexts.

Jean-Yves GuillemautView profile

Senior Lecturer

• 3D Computer Vision
• 3D Reconstruction
• Computational Photography
• +4 more

Dr. Jean-Yves Guillemaut is a Senior Lecturer in 3D Computer Vision and Postgraduate Research Director at the Centre for Vision, Speech and Signal Processing (CVSSP) within the School of Computer Science and Electronic Engineering at the University of Surrey. His research focuses on 3D reconstruction of complex dynamic scenes, particularly addressing challenges with glossy materials and uncontrolled outdoor environments. He collaborates with industry to apply his work in AR/VR, immersive content production, and free-viewpoint video. Education: He holds an MEng (hons), PhD, and is a member of professional bodies including MIEEE, MBMVA, and FHEA. His technical expertise spans computational photography, lightfield imaging, and artificial intelligence. Current PhD students: Matthew Bailey, Yue Zhang, Gianmarco Addari Laboratory affiliations: CVSSP Research interests include scene modeling from multi-view video, dynamic scene reconstruction, and applications in creative industries. Recent projects involve developing algorithms for illumination estimation, pedestrian tracking, and neural rendering. Grants and collaborations are centered on industry partnerships enhancing creative technology sectors. Future work aims to expand outdoor scene modeling and AI-driven medical imaging applications.

Zhibin GuanView profile

Professor

• Polymer Chemistry
• Self-Healing Materials
• Dynamic Covalent Chemistry
• +4 more

Zhibin Guan is a Professor in the Department of Chemistry at the University of California, Irvine (UCI), affiliated with the School of Physical Sciences. His research focuses on dynamic materials, self-healing polymers, functional biomaterials for gene delivery, and sustainable polymer design. He holds positions in Biomedical Engineering and Chemical Engineering & Materials Science at UCI. Education: B.S./M.S. from Peking University, Ph.D. from the University of North Carolina, Chapel Hill, and postdoctoral training at Caltech. Recognized with awards including the Camille Dreyfus Teacher-Scholar Award, NSF CAREER Award, and AAAS Fellowship. Key research themes include bioinspired materials, CRISPR-Cas gene editing delivery systems, and immunomodulatory materials. Notable publications include work on vitrimers, electrically fueled active materials, and recyclable thermosets. Over 50 students have graduated under his mentorship, many in roles at leading institutions and industries. Labs and collaborations emphasize interdisciplinary work, with funded projects on active materials, mRNA delivery, and sustainable polymers. Current group members include Dipankar Barpuzary, Leslie Liu, Vy Nguyen, Roman Shrestha, and Basim Basheer.

• Computer Vision
• Machine Learning
• Cognitive Robotics
• +3 more

Dr. Kasim Terzic is a Lecturer at the School of Computer Science, University of St Andrews. He is affiliated with the Centre for Research into Ecological & Environmental Modelling and the Coastal Resources Management Group. His research focuses on computer vision, machine learning, cognitive robotics, and their applications in ecology and conservation. He also promotes open-source software solutions. Terzic holds a PhD in Computer Science from the University of Hamburg and has taught modules such as Computer Graphics and Machine Learning. He currently supervises four PhD students and serves as an External Examiner at Robert Gordon University. Education Background: PhD in Computer Science, University of Hamburg MSc in Information and Communication Systems, Hamburg University of Technology MSc in Global Technology Management, Hamburg University of Technology BEng (Hons) in Electronic Engineering, University of East Anglia Research Interests: Terzic’s work bridges computer vision with ecological conservation, developing algorithms for image analysis, robotic manipulation of deformable objects, and active vision systems. He emphasizes interdisciplinary approaches, combining AI with ecological monitoring and open-source technologies to enhance accessibility. His projects include fish scale circuli detection, robotic towel manipulation, and individual re-identification in wildlife populations. Advising & Grants: Supervises four PhD students and actively contributes to academic activities, including organizing public events like Doors Open @ Computer Science. His research has been published in venues like Sensors, Biology Methods and Protocols, and IEEE conferences. Labs/Teams: Collaborates with the Centre for Research into Ecological & Environmental Modelling and Coastal Resources Management Group, focusing on applying AI to environmental challenges.

Michaela MacDonaldView profile

Senior Lecturer

• Cybersecurity Law
• IoT Product Development
• Technology Law
• +3 more

Dr. Michaela MacDonald is a Senior Lecturer in Law and Technology at Queen Mary University of London's School of Electronic Engineering and Computer Science. Her teaching focuses on interdisciplinary modules such as Cybersecurity Law, IoT Product Development and Management, and Product Development and Marketing through the BUPT joint programme. These courses address legal implications of emerging technologies, digital privacy challenges, and innovative business strategies in technology sectors. Her research explores intersections between technology and law, particularly in areas like intellectual property in digital environments, video game industry regulation, and ethical challenges posed by autonomous systems. She has published extensively on topics including copyright enforcement in gaming, digital colonialism critiques, and legal frameworks for virtual property. Notable areas of focus include: Regulatory responses to emerging technologies Copyright law adaptation for digital content Psychological and legal aspects of gaming mechanics Historical legal analogies for modern AI governance Ethical considerations in IoT and product development Her work bridges technical innovation with legal scholarship, addressing both substantive legal challenges and procedural gaps created by rapid technological advancement. Current research trends emphasize digital rights management, platform liability, and the evolving role of law in mediating technological progress.

Manolis ChiouView profile

Lecturer

• Human-Robot Interaction
• Artificial Intelligence
• Robotics
• +5 more

Manolis Chiou is a Lecturer (Assistant Professor) in Computer Science at Queen Mary University of London, part of the School of Electronic Engineering and Computer Science. His expertise lies in Human-Robot Teaming and Interaction within Variable Autonomy systems, emphasizing safety-critical and hazardous environments. Prior roles include Research Fellow at the University of Birmingham, leading the human-robot teaming group and co-founding the Extreme Robotics Lab. Education: PhD in Robotics and AI (University of Birmingham, 2017); MSc in Computational Intelligence (University of Sheffield, 2012); BEng in Automation Engineering (University of West Attica, 2011). Research focuses on developing AI/robotics frameworks for seamless human-robot collaboration, drawing on methods from AI, robotics, human factors, and cognitive science. Key themes include trust models in autonomous systems, variable autonomy paradigms, and operator workload management. Recent work explores robot health indicators, neurosymbolic control, and field-tested disaster response applications. Teaching includes modules on Computational Creativity and Machine Learning. His research has produced over 30 publications since 2015, with a focus on advancing mixed-initiative systems and trustworthy AI in robotics.

Alex LeveringhausView profile

Lecturer

• Political Theory
• Ethical Theory
• Armed Conflict Ethics
• +3 more

Alex Leveringhaus is a Lecturer in Political Theory and Co-Director of the Centre for International Intervention at the University of Surrey. He is affiliated with the Department of Politics and International Relations within the Faculty of Arts, Business and Social Sciences, and serves as the Exams and Assessments Officer at the university. His academic background includes a PhD in Government from the London School of Economics (LSE), supervised by Cecile Fabre and Paul Kelly. Dr Leveringhaus has held postdoctoral roles, including a Leverhulme Early Career Research Fellowship at the University of Manchester and research fellowships at the Oxford Institute for Ethics, Law and Armed Conflict and the Oxford Martin School, University of Oxford. His research focuses on ethical issues in armed conflict, particularly emerging combat technologies like drones, autonomous weapons, and AI. He also explores the broader societal and political implications of AI, emphasizing its moral challenges in warfare and governance. His publications analyze themes such as autonomous weapon systems’ impact on international relations, ethical boundaries in military tech development, and accountability in automated targeting. Recent work (2023) highlights concerns about technology in espionage and cooperative frameworks in AI-driven conflict. While no scientific awards are listed, his scholarly contributions are evident through prestigious fellowships and authored works like "Ethics and Autonomous Weapons" (2016). Teaching includes core undergraduate political philosophy courses and global governance modules at postgraduate levels. He co-directs the Centre for International Intervention, promoting interdisciplinary analysis of military and humanitarian intervention strategies. His academic advising and grants are tied to postdoctoral fellowships rather than named students or specific grants mentioned here.

Unnikrishna PillaiView profile

Professor

• Signal Processing
• Radar Systems
• Machine Learning
• +3 more

Unnikrishna Pillai is a Professor of Electrical Engineering at the Tandon School of Engineering, New York University since 1995. He previously held roles at Polytechnic Institute of New York from 1985. His research focuses on radar signal processing, synthetic aperture radar (SAR), autonomous systems, machine learning, and portfolio risk management. He has co-authored five textbooks and developed over 250 educational YouTube videos. Education: Ph.D. in Systems Engineering (University of Pennsylvania, 1985), M.S. in Electrical Engineering (IIT Kanpur, 1982), B.Tech. in Electronics Engineering (Banaras Hindu University, 1980). Research emphasizes signal decomposition for clutter mitigation, waveform design for radar systems, and dynamic swarming for vehicle coordination. His work bridges theoretical contributions with practical applications in defense and transportation. Teaching contributions include supplementary video lectures on electrical engineering topics. Non-academic interests include cultural projects like translating the Bhagavad Gita and producing classical Indian music recordings.

Marina CariniView profile

Professor

• Pharmaceutical Chemistry
• Cosmetic Science
• Proteomics and Lipidomics
• +3 more

Marina Carini is a Full Professor in Pharmaceutical Chemistry at the University of Milan, where she directs significant research initiatives including the Postgraduate Course in Cosmetic Science and the Postgraduate Course in Cosmetic Products: from formulation to consumer. She previously served as Director of the Department of Pharmaceutical Sciences (2009-2017) and Chair of the Intradivisional Pharmaceutical Analysis Group. Currently, she oversees the Social Sustainability and UN 2030 Agenda project at Human Hall, demonstrating her commitment to societal impact beyond traditional academic boundaries. Her educational foundation includes a Pharmacy degree and specialization in Hospital Pharmacy. Professor Carini's research integrates pharmaceutical chemistry with advanced bioanalytical techniques, focusing on molecular mechanisms of disease through proteomic and lipidomic approaches. She employs cutting-edge methodologies including high-resolution mass spectrometry and artificial intelligence to investigate oxidative stress, inflammation, and natural product pharmacology. Analysis of her recent publications reveals a cohesive research trajectory centered on carnosine's protective effects against UV damage and COPD, phytochemical mechanisms in cardiovascular and inflammatory diseases, and innovative analytical platforms for natural product screening. Her work bridges fundamental biochemistry with clinical applications in dermatology, cardiology, and sustainable nutraceutical development. Her scientific contributions were recognized with the Sapio Prize for Italian Research in 2003. As arbiter of the Italian Society of Cosmetological Sciences, she shapes industry standards while mentoring through specialized postgraduate programs. Her leadership extends to coordinating multi-institutional projects addressing environmental contaminants in aquaculture and gender disparities in urological oncology. Professor Carini maintains an active research program through the Department of Pharmaceutical Sciences, where she continues to advance analytical methodologies for studying metabolic reprogramming in vascular dysfunction and developing sustainable phytochemical complexes from agricultural by-products. Her work demonstrates exceptional translational potential from bench to bedside and consumer applications.

Shih-Chun LinView profile

Associate Professor

• Networking
• Machine Learning and AI
• Communications
• +7 more

Dr. Shih-Chun Lin is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University, part of the College of Engineering. His research focuses on wireless software-defined networking systems, IoT, cyber-physical systems, and communications technologies. He holds a Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology (2017). His research interests include machine learning applications in networking, network function virtualization, and wireless communication in challenging environments such as underground and underwater systems. He has contributed to advancements in edge computing, vehicular networks, and satellite communication protocols. Dr. Lin has been recognized with awards including the 2020 Distinguished TPC Member Award at IEEE INFOCOM and the 2016 Best Student Paper Award Runner-up at IEEE SCC. His work emphasizes practical implementations alongside theoretical analysis, addressing challenges in next-generation cellular networks and 6G technologies. His publications span topics such as satellite swarm dynamics, federated learning in edge networks, and optical cross-connect architectures. Collaborations focus on integrating AI-driven solutions for network optimization and resilience.

• Cognitive Neuroscience
• Neuroimaging
• Attention and Inhibition
• +5 more

Dr Stephen Johnston is an Associate Professor in Psychology at Swansea University's School of Psychology, part of the Faculty of Medicine, Health and Life Science. His research focuses on attention, inhibition, and the effects of video gaming, utilizing neuroimaging techniques like fMRI and MR spectroscopy. He holds a BSc in Astrophysics and Psychology from Keele University and a PhD in Mathematical Physics from Coventry University. His work spans cognitive neuroscience, investigating neural mechanisms underlying attentional processes, decision-making in gambling disorders, and autonomic adaptations related to hydration. He has supervised multiple PhD students, including those examining video game effects on executive functions and eye-tracking applications in aging populations. Dr Johnston has contributed to over 40 peer-reviewed articles in journals such as European Journal of Neuroscience , NeuroImage , and BMJ . His research highlights include neurofeedback interventions for smoking cessation, GABA/glutamate's role in impulsivity, and pandemic-related healthcare worker wellbeing studies. He teaches modules on brain structure/function and medical laboratory techniques.