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Ludo AusielloView profile

Senior Lecturer

• Audio Engineering
• Signal Processing
• Electro-Acoustics
• +4 more

Dr. Ludo Ausiello is a Senior Lecturer in Electronics at the University of Portsmouth, affiliated with the School of Electrical and Mechanical Engineering and the Faculty of Technology. His roles include membership in the Portsmouth AI and Data Science Centre and the Portsmouth Centre for Advanced Materials and Manufacturing. He holds a Fellowship of the Higher Education Academy and is a member of the Institute of Acoustics. Education: Integrated Master’s in Electronic Engineering (University of Bologna), European PhD in Audio Engineering, and PGCert in Higher Education (2019). Professional training includes Fonoprint Studios (Bologna) and industry experience at Maserati, Magneti Marelli, and Harman. Research interests focus on audio engineering, signal processing, electro-acoustics, and innovative manufacturing. Recent work includes developing affordable measurement ecosystems for musical acoustics, optimizing soundboard designs via least-squares analysis, and applying AI to room acoustics prediction. His studies span topics like wood elasticity, loudspeaker design, and vocal fatigue in educational spaces. Awards: Fellowship of the Higher Education Academy (2019). Teaching and advising: Taught analog and digital oscillator design at the University of Bologna and contributed to curriculum development at Solent University. Active in mentoring students through collaborative industry projects. Labs/Teams: Engaged with interdisciplinary teams at Portsmouth, focusing on advanced materials and AI-driven acoustic solutions.

• Parallel Computing
• Distributed Computing
• Algorithms
• +4 more

Ramachandran Vaidyanathan (Vaidy Vaidyanathan) is the Elaine T. and Donald C. Delaune Distinguished Professor in the School of Electrical Engineering and Computer Science at Louisiana State University (LSU). His research focuses on parallel and distributed computing, reconfigurable architectures, interconnection networks, and autonomous robot coordination. Developed the Reconfigurable Multiple Bus Machine (RMBM) model Authored the book Dynamic Reconfiguration: Architectures and Algorithms Holds multiple patents for optical networking and reconfigurable hardware Research Interests : Parallel and distributed algorithms Reconfigurable computing models Autonomous robot coordination Optical interconnection networks Scientific Awards : US Patent 6,332,050 US Patent 6,792,175 US Patent 8,862,854 US Patent 9,257,988 US Patent 10,282,347 Advising and Grants : Supervises students in reconfigurable computing and distributed systems. Collaborates with institutions on NSF-funded projects. Labs : Leads the Reconfigurable Computing Group at LSU.

Martin WynnView profile

Associate Professor

• Digitalisation
• Digital Transformation
• Emerging Technologies
• +4 more

Martin Wynn is an Associate Professor of Information Technology at the University of Gloucestershire's School of Computing and Engineering. With 20 years of industry experience as an IT professional and senior manager at Glaxo Pharmaceuticals and HP Bulmer Drinks, he transitioned to academia with a focus on knowledge transfer partnerships and post-doctoral supervision. His research interests span digital transformation, emerging technologies, sustainability, IT strategy, and risk management. He holds a PhD in Town and Country Planning and a PGCFHE in Education. Education: BA (Hons) Geography (Durham, 1973), MA Geography (Durham, 1977), PhD Town and Country Planning (Nottingham Trent, 1981), PGCFHE Education (Gloucestershire, 2003). Research focuses on leveraging technology for sustainable development, including digitalisation in manufacturing, cybersecurity, and the interplay between technology and urban planning. Over 20 doctoral students have been supervised in areas like digitalisation, analytics, and sustainability. Publications span e-business adoption in developing countries, ERP systems in SMEs, and ICT utilization in Libyan universities. He is a PRINCE2 Practitioner and Certified Management Consultant (CMC).

Jane WangView profile

Professor

• Biological Physics
• Theoretical Condensed-Matter Physics
• Computational Fluid Dynamics
• +4 more

Affiliations and Roles Professor Wang holds dual appointments as Professor of Physics and Mechanical and Aerospace Engineering at Cornell University. She is affiliated with the Sibley School of Mechanical and Aerospace Engineering and the College of Arts and Sciences. Education B.S. in Physics, Fudan University, Shanghai, China (1989) Ph.D. in Physics, University of Chicago (1996) NSF-NATO Postdoctoral Fellow, Theoretical Physics, Oxford University (1997) Visiting Member, Courant Institute of Mathematical Sciences, NYU (1997-1999) Research Her research focuses on the physics of living organisms, particularly insect flight dynamics , biophysics , and computational modeling . Key projects include: Dragonfly righting reflex mechanisms Neuro-mechanical control in fruit flies Unsteady aerodynamics and fluid-structure interactions Awards and Honors Simons Fellowship in Theoretical Physics (2020) Radcliffe Fellowship (2007) Cornell Provost's Award for Distinguished Scholarship (2005) David and Lucile Packard Fellowship (2002) Labs and Collaborations Her work integrates experimental and computational approaches, often conducted in collaboration with institutions like the Janelia Research Campus (HHMI) and the Joint Texas Experimental Tokamak (J-TEXT).

Nigel BoschView profile

Assistant Professor

• Machine Learning
• Human-Computer Interaction
• Educational Technology
• +3 more

Nigel Bosch is an Assistant Professor in the School of Information Sciences (iSchool) at the University of Illinois Urbana-Champaign, with a joint appointment in the Department of Educational Psychology. He is also a faculty affiliate at the National Center for Supercomputing Applications (NCSA) and Illinois Informatics. His primary research focuses on machine learning and human-computer interaction applications in education, with particular emphasis on affective computing, metacognition, and online learning environments. Bosch holds a PhD in Computer Science from the University of Notre Dame, followed by a postdoctoral research position at the National Center for Supercomputing Applications. His research explores machine learning applications in education, including automatic emotion measurement in programming education, metacognition analysis through natural language processing, and ethical implications of AI in learning. He also investigates wearable technologies for health monitoring and algorithmic bias mitigation in educational data. Bosch’s work is supported by grants from the National Science Foundation (NSF), the Institute of Education Sciences (IES), and the University of Illinois. He leads the (Human + Machine) Learning lab, which develops innovative technologies for educational analytics, AI ethics, and human-centered computing.

Tsung-Yi HoView profile

Professor

• Design Automation for Microfluidic Biochips
• Nanometer Integrated Circuits
• Embedded Systems
• +3 more

Tsung-Yi Ho is a Professor in the Department of Computer Science at National Tsing Hua University, Taiwan. He holds the Hans Fischer Fellowship at the Technical University of Munich's Institute for Advanced Study (TUM-IAS). His primary research focuses on design automation for microfluidic biochips and nanometer integrated circuits, emphasizing reliability, optimization, and interdisciplinary applications in bioengineering. Ho received his Ph.D. in Electrical Engineering from National Taiwan University in 2005. He has held positions at National Cheng Kung University and National Chiao Tung University before joining National Tsing Hua University. His work bridges algorithmic design with practical biochip fabrication, addressing challenges like contamination control, routing optimization, and fault tolerance in microfluidic systems. His research interests span design automation for emerging technologies, including paper-based biochips and 3D microfluidic architectures. He has pioneered methods for integrating hardware-software co-design principles into biochip development, enhancing both functionality and reliability. His contributions include novel routing algorithms, contamination mitigation techniques, and reliability-aware synthesis frameworks. Ho has authored over 100 publications, including influential papers in IEEE Transactions on CAD and ACM journals. He serves on the editorial boards of multiple top-tier journals and chairs professional chapters for ACM and IEEE. His awards include the Humboldt Research Fellowship, Dr. Wu Ta-You Memorial Award, and Best Paper Awards at VLSI Test Symposium and IEEE Transactions on CAD. His current projects involve optimizing control-fluidic co-design for paper-based biochips and developing AI-driven frameworks for microfluidic functionality prediction. He collaborates widely, leading cross-disciplinary initiatives at TUM-IAS and Taiwan's academic institutions.

Bernhard ThomaszewskiView profile

Lecturer

• Computer Graphics
• Robotics
• Computational Mechanics
• +3 more

Bernhard Thomaszewski is a Lecturer at the Department of Computer Science at ETH Zürich. His research focuses on computational mechanics, robotics, and computer graphics, with an emphasis on simulation-based design and material modeling. He explores topics such as deformable contact, flexible materials, and robotic mechanisms. His work bridges theoretical foundations and practical applications, including medical imaging, garment simulation, and biomechanical systems. Notable research interests include the development of novel algorithms for real-time simulation, optimization-driven design of mechanical systems, and integration of machine learning with physical models. He has contributed to advancements in finite element modeling, differentiable simulation, and topology optimization for robotic and biomedical applications. His recent projects highlight interdisciplinary collaboration, addressing challenges in areas like orthodontic treatment prediction, automated pipeline design, and neural network-driven material characterization. While no specific grants or awards are explicitly listed, his prolific publication record underscores his impactful contributions to computational engineering and computer science.

Ahmed SherifView profile

Associate Professor

• Cybersecurity
• Cryptography
• Autonomous Vehicles
• +2 more

Ahmed Sherif is an Associate Professor specializing in cybersecurity and privacy-preserving systems, likely affiliated with the University of Southern Mississippi. He holds a Ph.D. from Tennessee Technological University (2017) and M.S. from Egypt Japan University of Science & Technology (2014). His research focuses on cryptographic solutions for autonomous vehicles, IoT networks, and smart grid security. Research interests span privacy-preserving systems across transportation and critical infrastructure, with emphasis on authentication protocols and hardware security. Teaches courses including Digital Logic, Network Security, and Advanced Security Techniques. Publications show strong focus on privacy engineering in emerging technologies (2021-2025), particularly in vehicular/drone networks and medical AI. No awards listed. Research includes federated learning for medical diagnosis and hardware-accelerated security frameworks.

• Control Systems
• Machine Learning
• Robotics
• +6 more

Marko Tanasković is a researcher at Singidunum University's Faculty of Informatics and Computing, specializing in control systems, robotics, and electrical engineering. He holds a PhD from ETH Zurich (2015) in Information Technology and Electrical Engineering, following degrees from University of Belgrade (BEng, 2009) and ETH Zurich (MEng, 2011). His research focuses on adaptive control systems, machine learning applications in engineering, and sensorless motor control. Key contributions include: Development of predictive algorithms for traffic systems and industrial automation Innovations in rotor orientation determination for PMSM motors Integration of AI in fraud detection and building climate control Recent work includes a 2024 study on wearable health monitoring devices and a 2022 paper on drone forensics. He has authored/co-authored over 15 peer-reviewed articles and holds patents in motor control technologies. Current affiliations include Singidunum University's Department of Electrical Engineering and Collaboration with ETH Zurich alumni networks. Active in international conferences such as Sinteza and IEEE events.

• Artificial Intelligence
• Extended Reality
• Computer Science
• +3 more

Pasquale Cascarano is a fixed-term Assistant Professor at the University of Bologna , affiliated with the Department of the Arts . His research bridges computer science with creative industries (cinema, art, fashion) and biomedical applications, focusing on Artificial Intelligence and Extended Reality paradigms. He collaborates with national and international institutions on interdisciplinary projects. Institutional Affiliation: University of Bologna Academic Role: Assistant Professor (fixed-term) Research Interests center on integrating AI and XR into creative sectors and healthcare, with emphasis on: Generative AI for immersive environments Medical imaging and diagnostics Digital heritage preservation XR-based educational tools 3D visualization techniques Creative technology applications Recent Publications highlight trends in: Medical XR for surgical training AI-driven image restoration LLM integration with AR/VR Privacy in collaborative AR Fashion and cultural heritage digitization Deep learning for video enhancement

Urs HengartnerView profile

Associate Professor

• Information Privacy
• Computer Security
• Network Security
• +3 more

Urs Hengartner is an Associate Professor at the Department of Computer Science, University of Waterloo. His research focuses on information privacy, computer and network security with emphasis on smartphones, IoT, and machine learning-based authentication systems. He holds a Ph.D. (2005) and M.Sc. (2003) from Carnegie Mellon University, and a Diploma from ETH Zürich (1997). His work spans Adaptive security attacks on ML systems Implicit user authentication frameworks Privacy-preserving technologies for location and genomic data Secure authentication systems resilient to voice/spoofing attacks Recent publication trends show a strong focus on adversarial attack detection (e.g., watermarking evasion, diffusion model attacks) and context-aware authentication systems . His frameworks like MRAAC and SHRIMPS address multi-stage authentication challenges in mobile ecosystems. Key contributions include frameworks for evaluating multi-user authentication systems (SHRIMPS), risk-aware access control (MRAAC), and novel defense strategies against collaborative robot traffic fingerprinting. His work bridges security mechanisms with user-centric design principles.

Christina SaengerView profile

Associate Professor

• Consumer Behavior
• Brand Identity Construction
• Social Media Marketing
• +4 more

Dr. Christina Saenger serves as Associate Dean of the Williamson College of Business Administration at Youngstown State University (YSU), where she also holds an Associate Professorship in Marketing. She earned a PhD in Marketing from Kent State University (2012), an MBA in Strategic Marketing from the University of Akron (2005), and a BA in Business & Organizational Communication from the same institution (2003). Her professional background includes client account management in marketing and advertising firms prior to academia. Her research focuses on consumer behavior in social contexts, particularly how individuals use brands for identity expression and cognitive processing of product information. Key topics include word-of-mouth mechanisms, brand-gratitude dynamics, and the psychological impact of social exclusion on consumer behavior. Her work appears in top-tier journals like the European Journal of Marketing , Journal of Advertising , and Psychology & Marketing . Dr. Saenger has received numerous accolades, including YSU's Distinguished Professorship designations for research (2022), teaching (2021), and service (2017), as well as the Research Professorship Award (2017). She actively contributes to academic governance through editorial roles at the Journal of Advertising Research and Journal of Consumer Marketing . Her teaching spans marketing strategy, social media, consumer behavior, and interactive marketing. Professional Service: Editorial Review Board Member for Journal of Advertising Research , Ad Hoc Reviewer for Journal of Business Research , and Conference Paper Reviewer for the Association for Consumer Research. Recent Research Trends: Emerging focus on AI's impact on consumer trust (2024 study) alongside continued exploration of word-of-mouth as a compensatory behavior for self-threat and social exclusion.

• Hydraulics
• Environmental Fluid Mechanics
• Multiphase Flow
• +6 more

Dr. Amir H. Azimi serves as a Professor in the Department of Civil Engineering at Lakehead University and holds an appointment at the Centre of Excellence for Sustainable Mining & Exploration. His expertise centers on fluid dynamics within environmental and engineering contexts. His academic credentials include: BSc from Azad University of Science and Technology, Iran MSc from Iran University of Science and Technology, Iran PhD from the University of Alberta Research focuses on hydraulics and environmental fluid mechanics, specializing in multiphase flows (bubbly/sediment-laden systems), mixing mechanisms in slurry/bubbly jets and plumes, sediment/pollutant transport in aquatic environments, erosion-deposition dynamics, weir/spillway hydraulics, and non-Newtonian fluid behavior. His methodological approach integrates experimental techniques (flow visualization, digital image processing, fiber optic probe signal analysis) with numerical modeling through custom research code development. As a licensed Professional Engineer (P.Eng.), he contributes to sustainable mining research through the Centre of Excellence for Sustainable Mining & Exploration, advancing practical applications in sediment management and fluid system design.

Isabella SosciaView profile

Professor

• Consumer Behavior
• Consumption Emotions
• Marketing Strategies
• +4 more

Dr. Isabella Soscia is a Full Professor of Marketing at SKEMA Business School in France. She holds a Ph.D. in Management from Università Bocconi, Italy, and completed a visiting scholar program at the University of Michigan. Her expertise spans consumer behavior, consumption emotions, survey methodologies, and experimental research. She has held academic roles at SKEMA since 2022 and contributed to research centers like Marketing Interactions and Innovation. Key research themes include guilt-decreasing marketing appeals, green consumption, and technology adoption. Education includes an HDR (Habilitation to Supervise Research) from Université de Lille (2023), a Ph.D. from Bocconi University (2003), and extensive postdoctoral research. She has supervised doctoral theses, including at Luiss Guido Carli University (2022). Her work bridges theoretical insights and practical applications, addressing topics like corporate social responsibility, cross-cultural marketing, and health communication. Her articles explore consumer emotions in contexts such as climate change, luxury tourism, and mobility services. Notable contributions include studies on vicarious pride in gift exchanges and the efficacy of humor in HIV/AIDS prevention campaigns. She frequently presents at global conferences, emphasizing marketing ethics and behavioral economics. Professional activities include thesis jury memberships and peer-reviewed journal contributions across disciplines like hospitality, sustainability, and cultural policy. Her research often intersects with policy-making, particularly in promoting sustainable practices and audience engagement strategies.

Lisa Feldman BarrettView profile

Professor

• Affective Neuroscience
• Psychology of Emotion
• Social and Personality Psychology
• +4 more

Lisa Feldman Barrett is a University Distinguished Professor of Psychology at Northeastern University with an appointment at Massachusetts General Hospital (MGH). She leads the Interdisciplinary Affective Science Laboratory (IASLab), studying the brain and body mechanisms underlying emotion, motivation, and cognition. Her work integrates psychology, neuroscience, anthropology, and computational methods to challenge traditional emotion theories. She serves as Chief Science Officer for MGH’s Center for Law, Brain and Behavior and actively engages in public science communication through books, lectures, and media. **Research Focus**: Her lab develops systems-level models of affective neuroscience, emphasizing predictive processing, interoception, and cultural influences on emotion. She critiques universal facial expression theories and advocates for a constructionist model of emotion as contextually constructed experiences. **Awards & Honors**: Recipient of the NIH Pioneer Award, APS Mentor Award for Lifetime Achievement, and APA’s Distinguished Scientific Contribution Award. Elected Fellow of the American Academy of Arts and Sciences and Royal Society of Canada. Former President of the Association for Psychological Science (APS). **Key Contributions**: Pioneered the theory of constructed emotion, emphasized the role of interoception in emotion, and demonstrated variability in facial expressions across cultures. Her work bridges basic science and clinical applications, including mental health and legal contexts. **Lab & Teams**: IASLab collaborates across disciplines, with sites at Northeastern and MGH. Current projects explore neural mechanisms of emotion, allostasis, and the impact of aging on memory and resilience.