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Eleri JonesView profile

Lecturer

• Performance Psychology
• Sports Anxiety
• Mental Health in Athletes
• +5 more

Dr. Eleri Jones is a Lecturer in Sports and Exercise Sciences at the School of Psychology and Sports Science, Bangor University, since 2014. Previously, she served as a Lecturer in Sports Psychology at the University of Glamorgan (2008-2014). Education : PhD in Sports Psychology (University of South Wales, 2013), MSc in Applied Sport and Exercise Psychology (Bangor University, 2007), BSc in Sport and Exercise Science (Liverpool John Moores University, 2006). Her research focuses on performance anxiety , mental health in athletes , and psychological development in sports. Key areas include disability sport , bilingualism in sport , and social media's impact on athlete stress . She developed the Wheelchair Imagery Ability Questionnaire to support wheelchair athletes. Recent publications analyze injury risk factors in rugby, mental well-being in cricket, and psychosocial models for athlete selection. She leads equality, diversity, and the Athena Swan award for Sports Sciences at Bangor University. Professional Accreditations : Accredited Sport and Exercise Scientist (British Association for Sport and Exercise Science, 2014) Fellow, Higher Education Academy (2016) She supervises PhD candidates Jessica Mullan and Charlotte Hillyard and contributes to applied sport psychology modules at Bangor University.

Douglas D. HodsonView profile

Professor

• Computer Engineering
• Software Engineering
• Real-Time Distributed Simulation
• +7 more

Douglas D. Hodson is a Professor of Computer Engineering at the Air Force Institute of Technology (AFIT), Wright-Patterson AFB, Ohio, affiliated with the Department of Systems and Engineering Management within the Graduate School of Engineering and Management. He holds a PhD in Computer Engineering from AFIT (2009), an MBA and MS in Electro-Optics from the University of Dayton, and a BS in Physics from Wright State University. His research focuses on computer engineering, software engineering, real-time distributed simulation, and quantum communications , with a strong emphasis on Quantum Key Distribution (QKD) systems, modeling and simulation (M&S), and Live-Virtual-Constructive (LVC) environments. His work integrates cybersecurity, network performance, and advanced simulation frameworks such as AFSIM and SwarmSim. His recent publications (2021–2022) reflect a trend toward secure distributed systems, AI-driven classification, fog modeling in military simulations, and opinion dynamics in social systems. These works span disciplines including cybersecurity, artificial intelligence, defense modeling, and environmental effects in multi-domain operations. Scientific Awards and Honors: IEEE Senior Member (2021) Outstanding Achievement Award, World Congress in CSCE (2018) SOCHE Faculty Excellence Award (2017) Harold Brown Award (2015) Multiple AFIT Civilian Category III Awards (2014, 2013) Dayton Area Graduate Studies Institute Scholar (2003–2007) Rev. Raymond A. Roesch, S.M., Award of Excellence, University of Dayton MBA (1998) Advising and Grants: Dr. Hodson has advised numerous graduate students, many of whom are co-authors on his publications. His research has been supported by AFIT, AETC, and collaborative defense-focused grants, particularly in quantum communications and simulation technologies. He has led or contributed to teams receiving Air Force Modeling and Simulation Team Awards and QKD Research Team Awards. Labs and Teams: He is a key contributor to the AFIT Quantum Communications and Modeling & Simulation research teams, working on projects involving AFSIM, QKD system modeling, decoy state protocols, and swarm UAV simulation. His lab environment fosters interdisciplinary collaboration in cybersecurity, physics, and software engineering.

Timothy MarlerView profile

Professor

• Science, Technology, and Innovation Policy
• Emerging Technologies
• Military Technology
• +5 more

Timothy Marler is a Senior Engineer and Professor of Policy Analysis at the RAND School of Public Policy, part of the RAND Corporation. His expertise spans Science, Technology, and Innovation Policy, Emerging Technologies, Military Technology, Biotechnology, Artificial Intelligence, and Optimization Modeling. He focuses on the intersection of technological advancements with global implications, emphasizing balanced policy approaches to mitigate risks while leveraging opportunities. Marler holds a Ph.D. in Mechanical Engineering from the University of Iowa, where he previously served as Assistant Director of the Virtual Soldier Research Lab, Co-Director of the Advanced Manufacturing Technology Lab, and Adjunct Professor in Biomedical, Mechanical, and Electrical Engineering. His career includes roles at Ford Motor Company, Amana, Pacific Northwest National Lab, and Hon, reflecting diverse industry experience. His research explores military training technologies, virtual reality/augmented reality, machine learning, and biotechnology. Notable projects include analyzing the U.S. Space Force's operational test infrastructure and advocating for global collaboration to address risks and opportunities from converging AI and gene-editing technologies. He currently serves on the Department of Commerce’s Materials and Equipment Technical Advisory Committee. Marler emphasizes the need for proactive policy frameworks to manage technologies like brain-computer interfaces and the metaverse, ensuring their safe and beneficial integration into society. His work bridges technical innovation with strategic policy analysis to address complex challenges in defense, public health, and global competition.

Marlene BarrosView profile

Professor

• Protein Chemistry
• Molecular Mechanisms of Disease
• Biomarker Discovery
• +7 more

Marlene Barros is a Full Professor at the Faculty of Dental Medicine (FMD), Portuguese Catholic University (UCP), where she also serves as Director since 2020. She is the Director of the Center for Interdisciplinary Research in Health (CIIS), recognized as 'Very Good' by FCT, and leads the SalivaTec laboratory focused on saliva-based diagnostics. She has a strong academic background in biochemistry and biology, with leadership roles in education and research. Her educational qualifications include: PhD in Biochemistry (specialty: Enzymology and Protein Chemistry), University of Coimbra (1995) Agregação in Biology, University of Aveiro (2007) Marlene Barros' research is centered on protein chemistry and molecular mechanisms of disease, with a focus on identifying biomarkers for diagnosis and therapeutic targeting. Her work spans proteomics, bioinformatics, oral biology, and microbiome analysis. She has coordinated academic programs such as the Master in Molecular Microbiology and the Degree in Biomedical Sciences. Her recent research articles reflect a strong trend in salivary proteomics, oral microbiome interactions, human-viral interactomics, and the development of bioinformatics databases (e.g., OralOme, OvisOme, CanisOme). These works emphasize translational applications in precision medicine, diagnostics, and functional food science. She has received the following scientific award: Prémio Melhor Poster SciComPT 2019 She has supervised numerous academic projects and is actively involved in national and international research collaborations. She has led or participated in significant funded projects such as SPRINT, OralTherm, RedSup4Health, and OeHMP, supported by Portugal2020 and Fundación 'la Caixa'. Her work contributes to UN Sustainable Development Goals, particularly in health and education. She is a key member of the SalivaTec laboratory and contributes to interdisciplinary teams in projects involving digital health, oral microbiome, and functional foods. Her leadership extends to pedagogical innovation and community-based learning in dental education.

Abdelhak M. ZoubirView profile

Professor

• Statistical Signal Processing
• Cooperative Sensor Communications
• Radar Imaging
• +5 more

Abdelhak M. Zoubir is a Professor of Signal Processing and Head of the Signal Processing Group at Technische Universität Darmstadt, Germany. He has held leadership roles including Head of the Department of Electrical Engineering and Information Technology (2012–2014 and 2020–2022), and President of the European Association for Signal Processing (EURASIP, 2017–2018). His research focuses on statistical signal processing with applications in radar imaging, biomedical engineering, and automotive systems. Zoubir has authored over 500 publications and is a Fellow of IEEE and EURASIP. He currently leads projects on radar communication integration, robust signal processing algorithms, and radiation-hardened sensor development. Education: Dipl.-Ing. (BSc/MSc) from Fachhochschule Niederrhein and Ruhr-Universität Bochum, followed by a Dr.-Ing. (PhD) in Electrical Engineering from Ruhr-Universität Bochum (1992). Research Interests: Bootstrap techniques, robust detection/estimation, cooperative sensor networks, radar for landmine detection, and automotive safety systems. He has pioneered methods in robust statistical signal processing, including low-rank matrix completion and sparsity-aware algorithms. Recognition: Recipient of the IEEE Meritorious Service Award (2018), IEEE Signal Processing Magazine Best Paper Award (2017), and the M. Barry Carlton Award (2014). He has been a keynote speaker at major conferences such as ICASSP and EUSIPCO, and served as Editor-in-Chief of the IEEE Signal Processing Magazine (2012–2014). Current Projects: Focus on automotive radar signal processing, radiation-hardened sensors (MALTA), and distributed learning robustness. His work bridges theoretical advancements with practical applications in defense, healthcare, and automotive industries.

Gina TripicchioView profile

Associate Professor

• Nutrition
• Public Health
• Behavioral Interventions
• +12 more

Gina Tripicchio is an Associate Professor in the Department of Social and Behavioral Sciences at the College of Public Health, Temple University. She is also a research scientist at the Center for Obesity Research and Education, where she leads NIH-funded studies focused on behavioral interventions to improve eating behaviors and reduce diet-related chronic diseases, particularly in pediatric and low-income populations. Education: PhD in Nutrition Intervention and Policy, University of North Carolina at Chapel Hill MS in Public Health Nutrition, Hunter College MSEd in Middle School Science Education, The City College of New York BA in Psychology, New York University Her research focuses on developing and evaluating technology-delivered and community-based interventions to promote healthy eating. She is particularly interested in translating behavioral interventions into scalable formats using mobile health (mHealth) platforms and in improving dietary assessment through novel biomarkers like stable isotope ratios. Her work spans school, primary care, and home settings, with a strong emphasis on health equity and underserved populations. Her recent publications reveal a consistent focus on snacking behaviors, diet quality, childhood obesity prevention, digital health interventions, and methodological innovation in dietary assessment. She frequently collaborates with interdisciplinary teams and has contributed to both intervention development and scoping reviews in emerging areas like extended reality in nutrition education. Scientific Awards: No awards explicitly mentioned in the text. Dr. Tripicchio is actively involved in mentoring and teaching, including undergraduate courses such as Diet and Weight Management . She has extensive experience in grant-funded research and serves as principal investigator on multiple NIH-supported projects. Her work bridges research, education, and public health practice, aiming to translate scientific findings into real-world impact. She is affiliated with the Center for Obesity Research and Education at Temple University, where she contributes to a multidisciplinary team focused on understanding and addressing obesity across the lifespan. Her lab integrates behavioral science, nutrition, and digital health technologies to design and test scalable, equitable interventions.

Arya-Ronahi DoganView profile

Researcher

• Educational Psychology
• Educational Research
• Digital Education
• +3 more

Arya-Ronahi Dogan is a Research Scientist and Doctoral Candidate at Europa-Universität Flensburg, affiliated with the Chair for Digital Education, and collaborates with the Department of Educational Research and Educational Psychology at the Leibniz Institute for Science and Mathematics Education (IPN) in Kiel. Their work focuses on technology-enhanced assessment and digital learning environments. Research Interests Technology-enhanced assessment Processes in digital learning and performance testing Design factors in digital educational materials Contact Email: dogan@leibniz-ipn.de Phone: +49-(0)431-880-1440 Location: Olshausenstr. 62, 24118 Kiel

Ole MadsenView profile

Professor

• Robotics
• Automation
• Industry 4.0
• +6 more

Ole Madsen is a Professor at the Department of Materials and Production within The Faculty of Engineering and Science at Aalborg University . His research focuses on Robotics and Automation , particularly in 5G Smart Production , AI for Manufacturing , and Industry 4.0 applications. He also holds a part-time position at Adding Robotics , applying his expertise in robot integration for industrial and healthcare settings. Research Interests : Robotics, Automation, AI, Sensor Systems, Modular Manufacturing, Welding Technology, Digital Twins, Human-Centered Robotics, Industry 4.0 His work spans 35+ years with over 205 publications , emphasizing smart production systems and robot-assisted processes . Key contributions include Swarm Production Architectures , 5G-Enabled Robotics , and Human-Robot Collaboration frameworks. He has supervised 10 PhD students and led major projects like RAU (Robot-Assisted Ultrasound) and GINP: Robotics & AI Innovation Network . Scientific Awards : SCAP2020 Best Presentation Award (2020) Ole's 31 projects include AP2030: Aseptic Factory 2030 (pharma production), AddSmart (robotics R&D), and 5G-Enabled Autonomous Systems . His 127 press/media mentions highlight advancements in robotic welding , industrial metaverse , and swarm production . He maintains an ORCID: 0000-0003-2133-2541 with extensive publication records across Swarm Robotics , Modular Manufacturing , and AI-Driven Production .

• Interactive Machine Learning
• Audiovisual Composition
• Computational Creativity
• +3 more

Mick Grierson is a Researcher at Goldsmiths, University of London , specializing in Interactive Machine Learning , Audiovisual Composition , and Computational Creativity . His work bridges Music Technology , Human-Computer Interaction , and Assistive Technology , with a focus on making machine learning accessible for creative applications. He has developed open-source software like Maximilian and collaborated on projects involving Brain-Computer Interfaces and Digital Musical Instruments for rehabilitation. Research Interests : Interactive Machine Learning Generative AI for Audiovisual Art Accessibility in Music Technology Collaborative Coding Environments Rehabilitation through Digital Instruments Neural Network Applications Selected Projects : NoiseBear - Wireless controller for disabled children Plundermatics - Real-time media segmentation Event-Maximillian - Brainwave music interfaces

Boyan Paskalev BontchevView profile

Professor

• Software Architecture
• E-Learning Systems
• Adaptive Hypermedia
• +5 more

Boyan Paskalev Bontchev is a Professor in the Department of Software Technologies at Sofia University's Faculty of Informatics. With a PhD in Computer Science from the Center of Informatics and Computer Technology - Bulgarian Academy of Sciences, he has established himself as a prominent academic in software engineering and educational technology fields. His academic career includes teaching Java Server/Side Programming and OOAD-UML courses at Sofia University and New Bulgarian University since 2000. Professor Bontchev's research focuses on e-learning systems, adaptive hypermedia, and software architecture. His work centers around developing self-adaptive educational platforms, with significant contributions to the ARCADE e-learning platform that complies with IEEE LTSA standards. He has published extensively on topics including courseware composition, learning content interoperability, and assessment frameworks, demonstrating a consistent research trajectory in educational technology systems. His publications reveal a strong emphasis on practical applications of educational technology, particularly in self-adaptive hypermedia navigation, e-learning courseware delivery, and assessment interoperability. The research shows progression from foundational work on software architecture to increasingly sophisticated adaptive learning systems that incorporate learner modeling and personalized educational experiences. Professor Bontchev maintains active industry connections, having worked as a software engineer and project manager at companies including Rila Solutions, ESDI Ltd., and OBLOG Software Ltd. His international experience includes research stays at the University of Vienna and Technical University of Aachen, contributing to his broad perspective on educational technology development. With proficiency in multiple programming languages and environments including Java, JSP, Oracle, and web technologies, he bridges theoretical computer science with practical educational applications. His multilingual capabilities (English, Portuguese, German, Russian, Spanish) further enhance his international research collaborations and academic contributions.

John HeilmannView profile

Professor

• Language Assessment
• Speech-Language Pathology
• Children's Language Disorders
• +4 more

John Heilmann serves as a Professor in the Department of Communication Sciences & Disorders at the University of Wisconsin-Milwaukee, where he conducts research to improve clinical practices for children with communication disorders. His work bridges foundational language assessment methodologies with real-world implementation science, focusing on evidence-based solutions for school-based speech-language pathologists. He maintains an active research presence through the Wisconsin Speech and Language Clinic for Children and Adults (WISCCA), accessible at sites.uwm.edu/wiscca/. His educational credentials include: Doctor of Philosophy in Communicative Disorders from the University of Wisconsin-Madison Master of Arts in Speech-Language Pathology from the University of Cincinnati Bachelor of Science in Speech & Hearing Sciences from the University of Cincinnati Heilmann's research program operates through two interconnected pillars: First, his foundational clinical research advances language sample analysis techniques for assessing children's conversational, narrative, expository, and persuasive discourse. This work provides clinicians with practical tools for evaluating language disorders across diverse communicative contexts. Second, his practice-based research employs implementation science frameworks to examine how contextual factors and training programs influence the adoption of evidence-based practices in school settings. His approach emphasizes cultural responsiveness, particularly regarding dialect diversity and bilingual language development. Analysis of his publication trajectory (2014-2025) reveals consistent focus on practical clinical applications, with increasing attention to inclusive practices, dialect-informed assessment, and implementation strategies for diverse educational environments. His work frequently addresses the intersection of language disorders with cultural-linguistic diversity, socioeconomic factors, and literacy development. He has received recognition including: Wiley Research in Literacy Education Award (2022) for research on dialect density and emergent literacy in African American English-speaking preschoolers While specific grant details aren't documented in the source material, his implementation science projects suggest involvement in externally funded research initiatives. His mentoring activities extend through the WISCCA research team, which trains future clinicians in evidence-based practices while facilitating collaboration between researchers, educators, and speech-language pathologists to bridge research-practice gaps. The Wisconsin Speech and Language Clinic for Children and Adults (WISCCA) functions as his primary research hub, supporting clinical training and community engagement. This platform enables translation of research findings into practical resources for school-based clinicians, particularly through his focus on implementation science and culturally responsive assessment tools.

• Marketing
• Digital Marketing
• Advertising
• +5 more

Jelena Gajic is a Professor at the University of Singidunum in Belgrade, Serbia, where she serves in the Faculty of Business within the Department of Marketing. With a comprehensive academic background and extensive publication record, she has established herself as a leading scholar in marketing, advertising, and consumer behavior fields. Doctoral studies at Singidunum University, Belgrade (2008-2011) Master's studies in International Marketing at Faculty of Economics, University of Belgrade (2001-2004) Basic studies in Marketing at Faculty of Economics, University of Belgrade (1992-1997) Cultural and Linguistic studies at XIII Belgrade High School (1988-1992) Professor Gajic's research spans multiple marketing domains with particular emphasis on digital transformation in marketing practices. Her work bridges traditional marketing theories with contemporary digital applications, examining how technologies like AI and neuromarketing are reshaping marketing strategies. She has made significant contributions to understanding social media marketing effectiveness, advertising in digital environments, consumer behavior in tourism contexts, and marketing challenges in higher education institutions. Her research methodology often combines theoretical frameworks with empirical testing, including A/B testing and advanced analytical approaches. Her recent publications demonstrate a clear trajectory toward technology-integrated marketing research. There's a strong emphasis on digital marketing channels, particularly social media platforms like Instagram, and their effectiveness across various contexts including higher education, tourism, and creative industries. Her work increasingly incorporates advanced analytical methods, including AI applications and neuromarketing research, to understand consumer responses. The pandemic's impact on travel behavior and digital communication strategies has also been a significant focus of her recent research, reflecting her ability to address contemporary challenges in marketing. While specific awards aren't documented in the available information, her substantial publication record in reputable journals such as The European Journal of Applied Economics, TEME - Journal of Social Sciences, and others indicates professional recognition within her academic community. Though specific advisees aren't listed in the available information, Professor Gajic's extensive publication record, particularly her work on student perspectives in higher education, suggests active involvement in mentoring and supervising student research. Her leadership in organizing conferences like Sinteza and FINIZ indicates significant contributions to academic community building. Her research on digital marketing, tourism, and consumer behavior has likely been supported by various institutional grants, though specific funding sources aren't detailed in the available information.

Michael HiltonView profile

Academic

• Software Engineering
• Developer Experience
• Continuous Integration
• +3 more

Michael Hilton is an Associate Teaching Professor in the Software and Societal Systems Department of the School of Computer Science at Carnegie Mellon University. He also serves as the Associate Department Head for Education and directs both the Software Engineering Minor and Software Engineering Concentration programs. His work bridges academic research with practical software engineering education. Ph.D. in Computer Science, Oregon State University (2017) M.S. in Computer Science, Cal Poly San Luis Obispo (2013) B.S. in Computer Science, San Diego State University (2002) Professor Hilton's research primarily focuses on understanding and improving the developer experience, with particular emphasis on flaky tests, continuous integration practices, and software engineering education. His work combines empirical studies of real-world development practices with educational innovations to enhance how software engineers are trained. He has conducted extensive research on test flakiness, identifying patterns, causes, and potential solutions to this pervasive problem in modern software development. His scholarly contributions reveal a consistent focus on practical software engineering challenges, particularly those affecting developer productivity and software quality. The research trajectory shows increasing attention to educational aspects of software engineering, including team-based learning, structured feedback mechanisms, and the impact of emerging technologies like AI on programming education. Professor Hilton has over 20 years of professional experience in software development, including 9 years at SPAWAR Pacific where he worked on projects for the US Navy, Coast Guard, and White House. This industry background informs his teaching approach, which emphasizes preparing students for real-world challenges they'll face after graduation. He teaches software engineering-focused courses and has developed educational approaches that integrate practical development experience with theoretical foundations. His teaching philosophy centers on providing students with both immediate practical skills and enduring principles that will serve them throughout their careers, with special attention to software engineering in startup environments.

Fang KongView profile

Assistant Professor

• Online Learning
• Reinforcement Learning
• Machine Learning
• +4 more

Fang Kong is an Assistant Professor in the Department of Statistics and Data Science at the Southern University of Science and Technology (SUSTech). He earned his PhD in Computer Science from Shanghai Jiao Tong University under the supervision of Prof. Shuai Li and received his Bachelor's degree in Software Engineering from Shandong University. Education: PhD in Computer Science, Shanghai Jiao Tong University (2020-2024) Bachelor's Degree in Software Engineering, Shandong University (2016-2020) Dr. Kong is broadly interested in developing theoretically guaranteed algorithms for sequential decision-making problems, with particular focus on multi-armed bandits and reinforcement learning, as well as their applications in online experimentation and recommendation systems. His research spans theoretical foundations of bandit algorithms, matching markets, influence maximization, and online learning under various feedback structures. He has made significant contributions to the understanding of best-of-both-worlds algorithms that perform well in both stochastic and adversarial environments. His publication record shows a strong trajectory of high-impact work in top-tier conferences including NeurIPS, ICML, ICLR, AAAI, WWW, and AAMAS. His research demonstrates expertise in theoretical machine learning with a focus on bandit algorithms, particularly in matching markets and sequential decision-making problems. His work often bridges theoretical guarantees with practical applications in recommendation systems and online experimentation. Scientific Awards: CCF Doctoral Dissertation Award in Agent and Multi-Agent Systems (2025) Baidu Scholarship (2024) National Scholarship for PhD students (2023, 2022) AAMAS Student Scholarship (2023) Microsoft Research Asia Excellence Award (2022) Dr. Kong actively mentors students at various levels, including PhD and Master's students at SUSTech, visiting students from other institutions, and undergraduate researchers. He serves as a reviewer for top machine learning conferences (ICLR, NeurIPS, ICML, WWW) and journals (IEEE PAMI, TMLR). His teaching includes graduate Machine Learning and undergraduate Artificial Intelligence courses at SUSTech.

Hans de BresserView profile

Professor

• Earth Sciences
• Structural Geology
• Tectonics
• +5 more

Hans de Bresser is Professor of Teaching and Learning in the Earth Sciences Environment at Utrecht University's Faculty of Geosciences. Appointed as Dean of Regional Education effective September 1, 2022, he leads the university's initiative to strengthen partnerships with regional education providers in Utrecht. Previously, he served as Vice-Dean of Education at the Faculty of Geosciences, Director of Education for the Earth Sciences program, and Director of the Honours College in Geosciences. Professor de Bresser's research focuses on experimental rock deformation, structural geology, and tectonics. His work investigates the mechanical and transport properties of Earth materials under high temperature and pressure conditions, with applications to fault mechanics, reservoir compaction, and energy storage. He employs advanced materials testing techniques and microstructural analysis using light optical and electron microscopy. His research spans fundamental geomechanics to practical applications in resource extraction and geological storage. His recent publications demonstrate a strong focus on the mechanical behavior of rocks relevant to energy transition challenges, including hydrogen storage in salt caverns and understanding deformation processes in gas fields. His work bridges fundamental rock physics with practical engineering applications, contributing to both academic knowledge and industrial solutions. Scientific Awards: Best Poster Award at NAC15, the 15th Netherlands Earth Sciences Conferences 2019, for the poster Student- and Problem-Centered Approaches to Learning in the Field Professor de Bresser has supervised numerous Bachelor's and Master's theses and has been actively involved in educational innovation at Utrecht University. He served as Chair of the Utrecht University Teaching Career Task Force and is a member of the Advisory Board of the Centre for Academic Teaching. His educational leadership extends to directing the Honours College in Geosciences and developing student-centered learning approaches. He leads the Experimental Rock Deformation group (HPT laboratory), also known as the Earth Simulation Lab, where advanced rock mechanics experiments are conducted. The lab focuses on understanding rock behavior under various pressure and temperature conditions, with applications to geological processes and energy-related challenges.