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Fang Lee CookeView profile

Professor

• Human Resource Management
• Employment Relations
• Gender Studies
• +5 more

Fang Lee Cooke is a Distinguished Professor in the Department of Management at Monash University's Faculty of Business and Economics and Fellow of the Academy of the Social Sciences in Australia. She serves on the UNEP-ISC foresight Expert Panel and ILO Research Review Group. Her research examines employment relations, diversity management, strategic HRM, and technological impacts on work in contexts including Chinese multinational firms, healthcare, and construction sectors. Research explores gender equality in IHRM, digital platform employment, algorithmic management, and sustainable HRM practices. Recent work analyzes the effects of paternalistic leadership, workplace incivility, and EAP effectiveness. She has led over 30 funded projects including the £7.9M Digital Futures at Work Research Centre (2020-2025). Publications address contemporary challenges in global HRM, employee mental health, and workforce resilience during organizational change. Highly Ranked Scholar by ScholarGPS (2024) Top 2% Global Scientist (2020-2023) Dean's Award for PRME Research Excellence (2018) DAAD Visiting Professorship (2016)

• Bioinformatics Algorithms
• Stringology
• Combinatorics
• +7 more

Jacqueline Daykin is an Honorary Research Fellow in the Department of Computer Science at Aberystwyth University. Her research focuses on stringology algorithms, particularly applied to bioinformatics and computational biology. She holds a Sêr Cymru II Fellowship and has expertise in combinatorics of partially ordered sets, Lyndon words, and the Burrows-Wheeler transform. Her work integrates these structural concepts with genomic sequence analysis and infectious disease applications. She actively participates in research communities like StringMasters and AlgoUK, and is affiliated with the Centre for Combinatorics on Words and Applications. Daykin's research interests span theoretical computer science, with emphasis on algorithm design for string processing, data compression, and pattern recognition. She has contributed to advancements in suffix arrays, V-order algorithms, and efficient computational methods for genomic data. Her interdisciplinary approach bridges mathematics, artificial intelligence, and bioinformatics. Professional memberships include the Institute of Mathematics and Applications and the Women's Engineering Society. Her academic background includes teaching in the USA, UK, and Africa, combined with career breaks for family. Though no specific grants or awards are listed, her active publication record (over 50 outputs) demonstrates sustained research impact. Collaborations span international institutions, reflecting her role in global computational research networks.

Modupe JimohView profile

Associate Professor

• Water and Wastewater Management
• Hydraulics
• Sanitation
• +4 more

Dr. Modupe Jimoh is an Associate Professor of Civil and Humanitarian Engineering at the University of Warwick's School of Engineering. She holds a PhD from the University of Warwick (2015), MEng from Federal University of Technology, Akure (2010), and BEng from the University of Ilorin (2005). Her research focuses on water resource management, sustainable sanitation, gender advocacy, and humanitarian engineering, with a strong emphasis on interdisciplinary approaches to global challenges. She leads multiple modules including Water Engineering (ES3G7) and Humanitarian Engineering (ES99D). Key professional roles include Athena Swan Champion, Deputy Chair of the School's Equality and Diversity Committee, and University of Warwick liaison for the Women Engineering Society (WES) UK. Her work integrates environmental justice, climate action, and inclusive development, highlighted by publications on African water research disparities and women's roles in climate policy. Education: BEng Civil Engineering, University of Ilorin (2005) MEng Civil Engineering, Federal University of Technology, Akure (2010) PhD Engineering, University of Warwick (2015) Research Interests: Water management, hydraulics, environmental sustainability, gender equity in engineering, and humanitarian aid. Her recent publications analyze interdisciplinary water education frameworks, pollution modeling in urban drainage systems, and sustainable WASH interventions. Notable grants include UKERC funding for energy-climate-health linkages (2022-24) and Royal Academy of Engineering support for innovative sustainability projects. Awards: Institute of Advanced Study Visiting Professor Fellowship (2022-23) ACU Early Career Conference Grant (2019) Commonwealth Scholarship (2011-2015) She actively contributes to institutional initiatives like the Warwick-Africa Hub and chairs committees promoting equity in STEM education. Her work bridges technical engineering solutions with societal needs, emphasizing global and sustainable development.

Alex BottleView profile

Professor

• Healthcare Quality Metrics
• Health Informatics
• Clinical Outcomes
• +2 more

Alex Bottle is Professor of Medical Statistics at Imperial College London's School of Public Health, focusing on healthcare quality measurement using large databases. His research enables doctors, managers and patients to interpret complex healthcare data to assess hospital safety and performance. Education includes: PhD in Medical Statistics, Imperial College London (1997-2001) Research utilizes statistical analysis of hospital and primary care databases to measure care quality for chronic diseases including heart failure and COPD. Notable contributions include methodological work triggering the Mid Staffordshire NHS Trust investigation and research cited in the NHS Long-term Plan. Bottle chairs Imperial's Statistical Analysis with R for Public Health specialization on Coursera and co-chairs the School's Equality, Diversity and Inclusion committee. Recent publications demonstrate methodological innovation in analyzing joint registry data, predicting postoperative complications using machine learning, and examining COVID-19's impact on acute care pathways. Research consistently addresses healthcare variation, surgical outcomes, and algorithmic approaches to clinical prediction. Professional certifications include Fellowship of the Higher Education Authority and Membership of the Faculty of Public Health.

Ingrid DaubechiesView profile

Professor

• Mathematics
• Theoretical Physics
• Signal Processing
• +4 more

Ingrid Daubechies is a Professor of Mathematics and Electrical and Computer Engineering at Duke University. She holds a PhD in Theoretical Physics from Vrije Universiteit Brussels (1980). Her career includes roles at AT&T Bell Labs, Rutgers University, and Princeton University, where she became the first female Full Professor of Mathematics. She has been deeply involved with the École normale supérieure de Lyon for decades. Education: PhD in Theoretical Physics (1980), Vrije Universiteit Brussels. Her research focuses on wavelet theory, signal/image processing, and their applications in engineering and mathematics. Her seminal work on wavelets revolutionized fields like JPEG2000 compression and machine learning. She is also a leader in promoting gender equality and science education globally. Key achievements include leadership roles in the International Mathematical Union (2011–2014) and the Abel Committee (2004–2006). Awards highlight her impact, including the National Academy of Sciences Medal (2000) and the 2018 Doctor Honoris Causa from ENS de Lyon. Awards: Over 10 major international honors, spanning physics, mathematics, and engineering. No specific grants or advisees are listed, though her collaborations with institutions like ENS de Lyon and CNRS underscore her network. Her work bridges academia and humanitarian science advocacy.

Stefania CecchiView profile

Associate Professor

• Audio Signal Processing
• Electronics Engineering
• Nonlinear Systems
• +3 more

Prof. Stefania Cecchi is an Associate Professor at the Department of Information Engineering (DII) within the Faculty of Engineering at the University of Marche (UNIVPM). Her research focuses on audio signal processing, nonlinear systems, and biomedical engineering applications. She holds office hours on Mondays from 9:30–12:30 in DII or via Microsoft Teams. Her work spans innovative audio technologies such as binaural systems, real-time noise cancellation, and spatial audio rendering. She also explores interdisciplinary applications like bee hive monitoring through acoustic analysis and physiological response measurement to sound stimuli. Recent projects include developing low-cost medical devices for stress detection and optimizing automotive audio systems. Key research areas include: Head-Related Transfer Function (HRTF) interpolation for 3D audio Real-time audio processing for driver monitoring and health applications Nonlinear system identification in audio devices Acoustic-based fault detection in drones and vehicles Her publications highlight trends in immersive audio systems, bioacoustic analysis, and adaptive filtering techniques. She actively contributes to advancing audio engineering and its biomedical applications through interdisciplinary collaborations.

Evan LucasView profile

Assistant Professor

• Machine Learning
• Signal Processing
• Environmental Sensing
• +4 more

Evan Lucas serves as an Assistant Professor in the Department of Computer Science at Michigan Technological University, with research activities centered at the Great Lakes Research Center (GLRC). His work bridges theoretical machine learning with practical environmental monitoring applications, focusing on signal processing systems for real-world deployment. Dr. Lucas specializes in Machine Learning for Signal Processing with particular emphasis on Environmental Sensing applications. His technical portfolio includes Image Enhancement algorithms for underwater systems, Acoustic Signal Processing for marine environments, and cutting-edge research on Large Language Model Memorization and Watermarking techniques. His methodologies often combine classical signal processing with modern deep learning approaches to solve challenging environmental monitoring problems. Analysis of his recent publications reveals strong interdisciplinary connections between computer science and environmental engineering. His work shows increasing focus on AI security aspects, particularly in developing watermarking solutions for large language models, while maintaining active contributions to underwater acoustic communication systems and indigenous language preservation technologies. Through his GitHub presence with 28 repositories and 104 starred projects, Dr. Lucas demonstrates substantial software engineering contributions to the research community. His projects include practical implementations like the batch-image-enhacement pipeline and specialized tools for Ojibwe dialect analysis, indicating both technical depth and commitment to real-world applications.

Laura PigottView profile

Senior Lecturer

• Cancer Research
• Neuropathology
• Neuroplasticity
• +5 more

Laura Pigott is a Senior Lecturer at the Department of Physiotherapy, Sports Rehabilitation and Chiropractic at London South Bank University (LSBU), and Course Leader for the MSc (pre-reg) Physiotherapy program. She holds an Honorary Research Position at the Queen Square Institute of Neurology, UCL. Her academic roles include Divisional Lead of Physiology, Assessments and Examinations Lead, and Dissertation Supervisor. She teaches Neuroscience, Physiology, and Pathophysiology, emphasizing interdisciplinary approaches to healthcare discovery. Her research focuses on cancer neuroimaging (e.g., glioma biomarkers, dynamic MRI techniques), neuroplasticity, and the cognitive impacts of social media on brain development. She combines artificial intelligence with neuroimaging to improve cancer diagnosis and treatment efficacy. Additional interests include gender equity in STEM, reflected in her leadership roles such as UN Women UK delegate and Topic Coordinator for Frontiers’ Women in Radiology and Neurology editorial. Her professional activities include invited talks on neuroplasticity, brain cancer research, and the neuroscience of rehabilitation. She has contributed to global gender equality initiatives, advocating for women’s representation in radiology and neurology through editorial roles and policy advocacy.

• Biostatistics
• Cardiovascular Research
• Statistical Modeling
• +3 more

Sunil Dhar is a Professor in the Department of Mathematical Sciences at the New Jersey Institute of Technology (NJIT). His research spans interdisciplinary areas including biostatistics, cardiovascular science, and statistical modeling. He has contributed to studies on catheter material strength, muscle-fascia interactions during exercise, and bivariate geometric distributions. Research Interests: His work focuses on applying statistical methods to biomedical problems, including cardiovascular hemodynamics, muscle physiology, and clinical device evaluation. He also explores theoretical probability distributions and their real-world applications. Recent Publications: Over 30 peer-reviewed articles, with notable contributions in Anesthesia and Analgesia , Journal of Bodywork and Movement Therapies , and Communications in Statistics . Key themes include material science for medical devices, biostatistical modeling, and clinical hemodynamic measurements. Advising & Grants: No specific student advising or grant information provided in the texts. His research has been supported through institutional and collaborative efforts.

Richard PurvisView profile

Associate Professor

• Fluid Dynamics
• Mathematical Modelling
• Aircraft Icing
• +5 more

Richard Purvis is an Associate Professor in the School of Engineering, Mathematics and Physics at the University of East Anglia (UEA). He holds roles such as Director of Equality, Diversity and Inclusivity and IMA Departmental Representative. His academic journey includes a PhD from University College London (2002) and postdoctoral research at UCL and QinetiQ. He has extensive teaching experience across undergraduate mathematics courses, including calculus, differential equations, and fluid dynamics. His research focuses on fluid dynamics, mathematical modelling, and industrial applications, particularly droplet impacts, air cushioning effects, and aircraft icing. Notable projects include studying splashing mechanisms, boundary-layer flows, and the fluid mechanics of digestion. He has organized international study groups and contributed to the Industrial Mathematics Knowledge Transfer Network. Key research areas include: Mathematical analysis of droplet impacts and splashing mechanics Air cushioning in liquid-solid interactions High Reynolds number flows past multiple aerofoils Applications in aircraft safety, biomedical engineering, and industrial mathematics Purvis has supervised numerous PhD projects and contributed to funded initiatives like the EPSRC projects on rotor blade flows and droplet impacts. His work bridges theoretical models with real-world industrial challenges, emphasizing cross-disciplinary collaboration.

Maja Brandt AndreasenView profile

Research Fellow

• Gender Studies
• Online Misogyny
• Rape Culture
• +4 more

Maja Brandt Andreasen is a Research Fellow in Gender Studies at the Faculty of Social Sciences, University of Stavanger. Her work focuses on intersections of race, gender, and sexuality in far-right visual culture, particularly memes and online communication strategies. She holds a PhD in Gender Studies from the University of Strathclyde (Scotland) and teaches courses on Nordic gender equality and welfare from transnational perspectives. Research interests include online misogyny, rape culture, humor’s role in perpetuating harm, and the discursive construction of marginalized groups in far-right digital spaces. Current projects investigate Scandinavian far-right platforms’ use of humor to Other racial, gender, and sexual minorities through visual content. Recent publications explore homophobic humor in rape memes, #MeToo meme discourse around celebrity perpetrators, and algorithmic amplification of male supremacist content. Her interdisciplinary approach combines feminist theory with internet communication analysis. No scientific awards listed. Grants and advising details not specified in provided materials. Engages in conferences addressing violent extremism, gender studies, and digital media.

Engel LefaucheuxView profile

Researcher

• Formal Verification
• Cyber-Physical Systems
• Programming Languages
• +3 more

Engel Lefaucheux is a Researcher at the Max Planck Institute for Software Systems (MPI-SWS). His work focuses on formal verification, cyber-physical systems, and probabilistic systems. He is actively involved in analyzing timed automata, opacity problems, and parameter synthesis for complex systems. His research spans theoretical computer science, with contributions to dynamical systems, security, and algorithmic logic. Key research interests include formal methods for real-time systems, stochastic diagnosis, and decidability in hybrid systems. He has published extensively on topics such as timed opacity control, porous invariants, and parametric verification. Engel’s work often bridges theory and practice, with applications in system security, control synthesis, and automated reasoning. His contributions to decidability questions in dynamical systems and parameterized models highlight his expertise in foundational computer science challenges.

Debmalya MandalView profile

Researcher

• Algorithms
• Theoretical Computer Science
• Programming Languages
• +6 more

Debmalya Mandal is a researcher at the Max Planck Institute for Software Systems (MPI-SWS), focusing on foundational aspects of computer science. His research interests include algorithms, theoretical computer science, programming languages, and formal verification techniques applied to cyber-physical systems and distributed networks. He explores security, privacy, and mobile system challenges with an emphasis on rigorous logical and algorithmic methods. Professional activities include contributing to graduate studies at MPI-SWS and participating in institute-wide initiatives such as tenure-track openings, postdoctoral programs, and internship opportunities. His work aligns with the institute's mission to advance software systems research through interdisciplinary collaboration. Dr. Mandal maintains an active presence through his personal website at https://debmandal.github.io/ , where he shares research outputs and project details. His contributions support the institute's commitment to equal opportunity and fostering a collaborative academic environment.

Mohamed YounisView profile

Professor

• Wireless Communication
• Internet of Things
• Cyber-Physical Systems
• +6 more

Dr. Mohamed Younis serves as a Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC), where he has established himself as a leading researcher and educator. Recognized as an IEEE Fellow, his work spans critical areas of modern computing infrastructure with particular emphasis on challenging environments like underwater communication systems. His educational background includes: Ph.D. in Electrical Engineering from New Jersey Institute of Technology (1997) M.S. in Electrical Engineering from Alexandria University (1992) B.S. in Electrical Engineering from Alexandria University (1987) Professor Younis' research program addresses fundamental challenges in networked systems operating in constrained environments. His work on underwater sensor networks has pioneered novel approaches to overcome the limitations of traditional radio communication in aquatic environments. In the Internet of Things domain, he has developed innovative security mechanisms that balance protection requirements with the resource constraints of edge devices. His contributions to fault-tolerant computing ensure system reliability despite component failures, while his work on embedded systems optimization has led to more efficient implementations of critical functionality. The professor's research on physical unclonable functions represents cutting-edge work in hardware security, addressing vulnerabilities in device authentication. His publication record demonstrates consistent productivity across multiple domains, with recent work spanning underwater positioning systems, IoT security protocols, cognitive radio networks, and healthcare monitoring applications. This interdisciplinary approach reflects the increasingly interconnected nature of modern computing challenges. Dr. Younis has received significant recognition for his scholarly contributions, most notably through his elevation to IEEE Fellow status, which represents a prestigious honor within the engineering community. As an educator, Professor Younis has taught a comprehensive range of courses including Computer Architecture, Wireless Sensor Networks, Computer Networks, and Digital Design. His Embedded Systems and Networks Laboratory serves as the hub for his research activities, supporting graduate students and postdoctoral researchers in advancing the state of the art in his various research domains. His teaching portfolio demonstrates both depth in core computer engineering topics and breadth across emerging application areas. The professor maintains an active research program with ongoing projects in wireless communications, security protocols, and specialized network applications, continuing to contribute to both theoretical foundations and practical implementations in his fields of expertise.

Marc MöldersView profile

Research Fellow

• Algorithms in Law
• Differentiation Theory
• Media and Communication Sociology
• +6 more

PD Dr. Marc Mölders is a Senior Academic Councillor in Technology Assessment/Sociology of Law at the Department of Law and Society (Faculty of Sociology, Universität Bielefeld). He holds a diploma in Sociology (2005, summa cum laude) and a PhD (2009, summa cum laude) from Bielefeld University. His research focuses on algorithms in law, differentiation theory, media sociology, and organizational sociology. He is affiliated with Prof. Bora’s research group (AG Bora) and contributes to the Center of Citizenship, Migration and Development (COMCAD). Key achievements include the 2019 Bielefeld Equal Opportunities Award and the 2010 Dissertation Prize. His work bridges legal sociology with technology assessment, emphasizing societal correction mechanisms and the evolution of institutional frameworks in digital contexts. He has held temporary academic roles since 2014 and has collaborated on projects with the BMBF Leading-Edge Cluster 'Intelligent Technical Systems' and TU Dortmund.