جست‌وجوی استاد و پژوهشگر

Jennifer M Mortonمشاهده پروفایل

استاد

• Poverty
• Social Class
• Agency and Rationality
• +۵ مورد دیگر

Jennifer M Morton is the Presidential Penn Compact Professor of Philosophy at the University of Pennsylvania with a secondary appointment at the Graduate School of Education. As Graduate Chair of the Philosophy Department, she bridges philosophical theory with empirical research on poverty, social class, and upward mobility. Her work interrogates the ethical sacrifices of first-generation and low-income students, earning her the Grawemeyer Award in Education (2023) and the Frederic W. Ness Book Award for Moving Up Without Losing Your Way (2019). A Guggenheim Fellow (2023-2024), she integrates social psychology, policy analysis, and ethics to address structural inequities in education. Key Themes: Pessimism traps, cultural mismatch, and non-cognitive skill development. Awards: Grawemeyer Award, Scheffler Prize, Philosopher’s Annual Best Paper (2019). Media: Featured in The New York Times , The Atlantic , and Hidden Brain podcast. Her recent articles analyze poverty’s impact on prospective agency, planning capacity, and decision-making under uncertainty. She critiques online education’s limitations for marginalized students and explores the educator’s dual role in ideal vs. non-ideal contexts. As a senior fellow at Wisconsin’s Center for Ethics and Education, she advocates for inclusive institutional design, balancing pragmatic success with systemic critique.

Snigdha Chaturvediمشاهده پروفایل

دانشیار

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +۸ مورد دیگر

Snigdha Chaturvedi is an Associate Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. She previously held faculty positions at the University of California, Santa Cruz, and has conducted postdoctoral research at the University of Pennsylvania and University of Illinois, Urbana-Champaign. PhD in Computer Science from University of Maryland, College Park Bachelor's degree in Computer Science and Engineering from Indian Institute of Technology (IIT) Kanpur Her research spans Natural Language Processing with emphasis on Narrative Understanding , Text Summarization , and Socially Aware Language Generation . She advances Fairness in AI through ethical NLP applications in Mental Health and Educational Technology . Recent work focuses on 2025 publications in ACL and NAACL journals, alongside 2024 contributions to EMNLP Findings and ICLR . Earlier projects include the NarraSum dataset (2022) and MOOC forum analysis (2020). Scientific recognitions include: ACM Student Research Competition First Place (2014) IBM PhD Fellowship (2014-2015, renewed in 2015) Kulkarni Summer Research Fellowship (2015) WPI STEM Faculty Launch Program Participant (2015) Her team has advised 13 PhD and Master's students with notable placements at Bloomberg, AI2, and University of Southern California. Research integrates Accessibility challenges through collaborations with Google and IBM labs.

Kristy Robinsonمشاهده پروفایل

دانشیار

• Educational Psychology
• Student Motivation
• Classroom Environment
• +۴ مورد دیگر

Kristy Robinson is an Associate Professor in the Department of Educational and Counselling Psychology at McGill University , where she investigates classroom teaching practices and contextual factors that enhance student motivation and wellbeing. Her research program focuses on creating theoretical and empirical frameworks to support equitable instructional strategies for students' goal achievement. SSHRC-funded researcher FQRSC grant recipient Key Research Areas Motivational climate theory Expectancy-value-cost models STEM education equity Self-determination theory Emotion dynamics in learning Awards & Recognition Canadian Psychological Society President's New Researcher Award AERA Division C Outstanding Early Career Scholar AERA Motivation SIG Wilbert C. McKeachie Early Career Award Top-Producing Educational Psychology Scholar (2024) Research Platforms Director of MILES Lab (Motivation, Instructional, and Learning Experience Study) Developer of "mFlip" flipped classroom framework

Abigail Johnsonمشاهده پروفایل

استادیار

• Microbiome
• Nutrition
• Obesity
• +۶ مورد دیگر

Abigail Johnson, PhD, RD is an Assistant Professor in the Division of Epidemiology & Community Health at the University of Minnesota. She also serves as the Associate Director of the Nutrition Coordinating Center (NCC) and is a Member of the Masonic Cancer Center (MCC). Dr. Johnson earned her PhD in Nutrition and completed her Registered Dietitian (RD) training at the University of Minnesota, where she also obtained her BS in Nutrition Science and Biology. Her research explores the relationships between diet and the human gut microbiome in health and disease using novel computational methods for dietary data. Her current focus areas include: analysis of diet and microbiome after dietary interventions, methods development for dietary data analysis and visualization, and understanding the interactions between foods, microbes, and fungi during different stages of development. She is particularly interested in how diet and the microbiome interact to influence chronic diseases including prediabetes, diabetes, and cancer. Dr. Johnson's research demonstrates significant trends in microbiome analysis, dietary assessment, and computational methods. Her work increasingly focuses on personalized nutrition approaches, longitudinal microbiome dynamics, and the integration of multi-omics data to understand diet-microbe-host interactions in disease contexts. Her scientific contributions include: Development of methods for dietary data analysis and visualization Research on diet-microbiome interactions in chronic diseases Studies on how immigration and dietary changes affect the gut microbiome Investigations into personalized diet-microbiome associations Dr. Johnson actively mentors students and researchers in the fields of nutritional science, microbiome research, and computational biology. Her work has been supported by various research grants focused on understanding the complex relationships between diet, the microbiome, and human health.

• Business Informatics
• Artificial Intelligence
• Business Intelligence
• +۱۰ مورد دیگر

Prof. Dr. Harald Ritz serves as Professor of Practical Computer Science, especially Business Informatics, at the Technical University of Central Hesse (THM) within the Department of Mathematics, Natural Sciences and Computer Science since 2003. He holds leadership roles as Chair of Examination Committees for B.Sc. and M.Sc. Business Information Systems and Spokesperson for the MNI department in the Business Informatics Working Group (AKWI). His educational background includes a Diplom in Business Informatics (Dipl.-Wirtsch.-Inform.) and doctorate (Dr. rer. pol.) from the Technical University of Darmstadt, following professional experience at SAP SI AG and a professorship at Heilbronn University of Applied Sciences. Ritz's research centers on AI-driven digital transformation for data-driven enterprises, with focus on the “Data to Decision” value chain encompassing Framing, Allocation, Analytics, and Preparation phases. His work integrates business intelligence, data warehousing, machine learning, and SAP ecosystems to address challenges in SME digitalization, operational IT management, and educational technology. Current projects emphasize AI applications in higher education, including intelligent tutoring systems and automated feedback mechanisms. Analysis of his 15 most recent publications reveals a consistent trajectory toward applied AI solutions in business contexts, particularly in intelligent chatbots for educational support, financial trading algorithms, and cloud-based data infrastructure. The research demonstrates increasing integration of no-code platforms, real-time analytics, and domain-specific AI applications across logistics, banking, and procurement sectors. No scientific awards were documented in the source materials. Professor Ritz actively supervises academic development through bachelor’s and master’s theses, doctoral research, and collaborative projects. Current initiatives include the “Winfy” AI chatbot (v4.0, 2025), AI-based feedback systems for educational content (Freiraum 2025 grant), the frits intelligent tutoring project with Prof. Kammer, and doctoral research on AI adoption in SMEs. His work bridges theoretical research with practical implementation in SAP environments and cloud platforms. He operates within THM’s MNI department infrastructure, collaborating through the Business Informatics Working Group (AKWI) and contributing to the Digital Classroom communication platform for online education.

Martin Luccarelliمشاهده پروفایل

استاد

• Sustainable Design
• Industrial Design
• Material Design
• +۵ مورد دیگر

Prof. Dr. Martin Luccarelli serves as Professor of Industrial and Material Design and Deputy Head of the Teaching and Research Centre for Interactive Materials (LFZ IMAT) at Reutlingen University's TEXOVERSUM School of Textiles. His expertise bridges sustainable design, material innovation, and user-centered product development. Teaching Areas: Industrial/material design Location: Building 1, Room 116 Research focuses on green design cues , interactive materials , and sustainable product personality , particularly in automotive contexts. Publications highlight interdisciplinary approaches to design education , eco-friendly material perception , and user interface optimization . Key projects include InBiO (bio-based car interiors) and KICKup (AI-driven cellulose cycles). Contact: martin.luccarelli@reutlingen-university.de

Dominic Abramsمشاهده پروفایل

استاد

• Group Processes
• Intergroup Relations
• Social Cohesion
• +۷ مورد دیگر

Professor Dominic Abrams is a leading academic in Social Psychology and Director of the Centre for the Study of Group Processes at the School of Psychology, University of Kent . His research focuses on group processes , intergroup relations , and social cohesion , with applications to prejudice reduction , ageism , and organizational identity . Current PhD students: Kimberly Sequeira, Jon Bowman, Alessia Bacigalupo Past PhD students: Ben Davies, Katie Goodbun, Maria Heering, Zafer Ozkan, Hilal Özkececi His work spans social identity theory , age stereotypes , and collective action , often intersecting with policy through collaborations with UK government bodies (DWP, MHCLG, Cabinet Office) and charities (Age UK, Belong, Anne Frank Trust). Recent publications analyze volunteering’s role in social cohesion , vaccine hesitancy , and honor values as identity content . Key grants: £500,000 (British Academy), £71,000 (Nuffield Foundation), €166,294 (European Commission FP7) Awards: OBE (2023), British Psychological Society Presidents’ Award, SPSSI Distinguished Contribution Award He co-edits the journal Group Processes & Intergroup Relations and leads the British Academy’s Understanding Communities and Social and Cultural Infrastructure programs, alongside advising on national surveys for ONS and the Equality and Human Rights Commission.

Ariel Mosleyمشاهده پروفایل

استادیار

• Intergroup Relations
• Social Cognition
• Cultural Appropriation
• +۵ مورد دیگر

Ariel Mosley serves as an Assistant Professor in the Psychology Department at the University of California Davis, where she leads the Mosley Lab focused on intergroup perceptions of cultural appropriation, stigma, and intersectionality. Her research examines how social categorization and identity structure judgments of intergroup inequalities through experimental design, mediation analyses, and meta-analyses. Her educational background includes a Doctor of Philosophy in Psychology (2020) and Masters of Arts in Psychology (2016) from the University of Kansas, and a Bachelor of Arts in Psychology with a Philosophy minor (2014) from California State University Sacramento. As an undergraduate, she was a Ronald E. McNair Scholar, Sally Casanova Scholar, and Leadership Alliance Scholar. Professor Mosley's research investigates three core questions: how group-based biases influence responses to cultural appropriation; how intersectional stereotypes affect diverse individuals' experiences; and how marginalized groups adapt to discrimination. She combines social cognition, intergroup relations, and racial inequality frameworks to evaluate inequality from both target and perceiver perspectives. Her work spans social identity, objectification, dehumanization, structural racism in healthcare/law, and intersectional stigma. Analysis of her recent publications reveals consistent focus on cultural appropriation mechanisms, moral evaluations of intergroup interactions, and intersectional approaches to understanding bias. Her work increasingly integrates legal and policy implications while maintaining strong methodological rigor through experimental and meta-analytic approaches. University of California Davis Center for Multicultural Perspectives Faculty Scholar (2022-present) National Science Foundation Graduate Research Fellowship (2016) National Science Foundation Graduate Opportunities Worldwide Fellowship (2018) International Society of Political Psychology Award (2022) Multiple awards from SPSSI, SSPC, and SSPSP (2017-2022) Professor Mosley actively mentors undergraduate research assistants through her Mosley Lab, where students participate in all research phases from conception to dissemination. Her lab has produced multiple conference presentations and co-authored publications. She has secured significant grant funding including NSF fellowships and institutional support through UC Davis's multicultural research center. Her teaching portfolio includes Social Psychology, Psychology of Law, and specialized courses on cultural appropriation and racism. The Mosley Lab maintains an active research program with undergraduate scholars and graduate affiliates investigating intergroup relations, social cognition, and diversity issues. The lab emphasizes community-based research and recently presented at the Society for Personality & Social Psychology Annual Convention, with plans to attend the 2026 Chicago conference. Professor Mosley's work bridges academic research and community engagement through public science communication initiatives.

Lili Qiuمشاهده پروفایل

استاد

• Internet Networking
• Wireless Networking
• Mobile Systems
• +۶ مورد دیگر

Lili Qiu is a Professor in the Department of Computer Science at The University of Texas at Austin, where she has been a faculty member since January 2005. She is an active member of the Wireless Networking and Communications Group (WNCG) and has made significant contributions to the field of networking research. Dr. Qiu previously spent 2001-2004 as a researcher at Microsoft Research in Redmond, WA, before joining UT Austin. Dr. Qiu's research spans Internet and wireless networking with a current focus on wireless network management and content distribution in mobile networks. Her work extends into diverse applications including acoustic imaging, metasurface applications, healthcare sensing technologies, and AI systems. She has pioneered research in areas such as acoustic motion tracking, passive RFID sensing, and wireless network optimization. Her research demonstrates a consistent pattern of innovation that bridges theoretical networking concepts with practical real-world applications, particularly in mobile and wireless systems. Her extensive publication record shows a clear evolution from fundamental networking research to increasingly interdisciplinary work that combines wireless systems with healthcare applications, AI, and novel sensing technologies. Recent publications demonstrate growing integration of machine learning techniques with traditional networking problems, as well as expansion into healthcare applications like Parkinson's disease modeling and non-invasive glucose monitoring. ACM Fellow IEEE Fellow National Academy of Inventors (NAI) Fellow ACM Distinguished Scientist NSF CAREER award Google Faculty Research Award Best paper award at ACM MobiSys'18 Best paper award at IEEE ICNP'17 Dr. Qiu has supervised numerous students, including a PhD dissertation that won the SIGMOBILE best dissertation award in 2020. She has served in significant leadership roles including chair of ACM SIGMOBILE, General co-chair for ACM MobiCom 2025, and various conference chair positions for IEEE ICNP, ACM CoNEXT, and other major networking conferences. Her research has been supported by substantial grants from NSF, Google, and other organizations, enabling her to lead cross-disciplinary research teams. As a member of the Wireless Networking and Communications Group at UT Austin, Dr. Qiu leads research efforts that combine networking expertise with innovations in sensing technologies, metasurfaces, and AI systems. Her lab has produced numerous influential results in mobile networking, wireless sensing, and network management, with applications spanning healthcare, consumer electronics, and communication infrastructure.

Catrine Torbjørnsen Halåsمشاهده پروفایل

استاد

• Social Work
• Practical Knowledge
• Experiential Learning
• +۱۳ مورد دیگر

Dr. Catrine Torbjørnsen Halås is a Professor of Social Work at Nord University, a position she has held since 2023. She previously served as an Associate Professor at the University of Nordland from 2012, which later became part of Nord University. She has held significant leadership roles including Head of the Center for Practical Knowledge and Program Manager for the PhD program in Professional Science. She was also the cohort coordinator for the National Research School for Teacher Education (NAFOL) at NTNU from 2018 to 2020. Her research centers on practical knowledge , experiential learning , and qualitative methodologies , with a strong emphasis on ethnographic and narrative approaches. She explores how professional practice in social work can be informed by lived experience and reflective processes. Her work with vulnerable youth focuses on participation, involvement, and creating meaningful change through dialogue and recognition. The recent publications of Dr. Halås reveal a consistent engagement with knowledge-reflected practice , praxeology , and democratic knowledge production . Her research spans topics such as the role of practical knowledge in education, youth narratives challenging social norms, and participatory methods like the Dialogue Café. She emphasizes the integration of theory and practice in professional training and advocates for inclusive, reflective, and ethically grounded research. She is actively involved in research networks such as the European Association of Social Work Research (EASWR), where she convenes a Special Interest Group on Social Work Practice Research, and the International Community for Practice Research in Social Work. She leads the PrepChild Research Center for Children and Youth and Social Preparedness and contributes to the Nordic research network on youth, belonging, and outsiders. Her editorial work includes influential anthologies like Practical Knowledge: An Introduction (2023) and Humanistic Research Approaches to Professional Practice (2017), which have shaped discourse in the field. Dr. Halås has extensive experience in both academic and practical social work. Before her academic career, she served as a Senior Advisor to the County Governor of Nordland (1996–2011) and as a caseworker and manager in Oslo’s Grorud social welfare office (1989–1996). This background deeply informs her research, grounding it in real-world challenges and professional practice. She has not received any explicitly mentioned scientific awards, but her sustained scholarly output and leadership in research networks indicate significant influence in her field.

Isabella Hinksمشاهده پروفایل

عضو هیئت علمی

• Geospatial Analytics
• Remote Sensing
• Smallholder Agriculture Monitoring
• +۳ مورد دیگر

Isabella "Izzi" Hinks serves as a Teaching Assistant Professor in the Computer Science Department at the University of North Carolina at Chapel Hill. She completed her Ph.D. in Geospatial Analytics at NC State University's Center for Geospatial Analytics in 2024, where she was advised by Dr. Josh Gray. Her academic journey began with dual B.Sc. degrees in Computer Science and Environmental Science, along with a minor in Statistics and Analytics, all earned at UNC Chapel Hill. Dr. Hinks' research focuses on developing innovative algorithms to estimate the adaptive potential of small-scale agriculture in poverty-affected regions. Her work combines computer science expertise with environmental applications, particularly in using remote sensing technologies and deep learning techniques to monitor smallholder farming systems. She has made significant contributions to understanding how smallholder farmers can enhance their climate resilience through strategic adaptations, leveraging both satellite data and field observations. Her publication record demonstrates a consistent focus on applying advanced computational methods to agricultural monitoring challenges. The most recent articles show a progression from basic field boundary mapping using deep learning toward more sophisticated analyses of climate adaptation impacts on smallholder resilience. Her work increasingly integrates multiple data sources, including satellite imagery, household surveys, and on-the-ground measurements, to create comprehensive assessment frameworks for agricultural systems in developing regions. Among her notable recognitions is the Gladys West Award from the Center for Geospatial Analytics' fourth annual CGA Awards, received in January 2023. Her research on deep learning-based smallholder field delineation was featured in an NC State University News article in April 2023, highlighting the practical significance of her work. Dr. Hinks has been actively involved in several research initiatives, including work with the RESCuE Consortium in Thailand monitoring coastal ecosystem rehabilitation and supporting underserved communities during the Covid-19 pandemic through Curamericas Global. She was also a founding member of Acta Solutions, a tech start-up focused on helping local governments optimize decisions using constituent data. Her presentations at major conferences like the AGU Fall Meeting demonstrate her growing prominence in the field of geospatial analytics for agricultural applications.

• Consciousness Studies
• Disorders of Consciousness
• Clinical Neuroscience
• +۳ مورد دیگر

Steven Laureys, MD, PhD, is a Professor at the University of Liège where he leads the Coma Science Group within GIGA Consciousness. He holds dual prestigious appointments as Canada Excellence Research Chair in Integrative Neuroscience for Sustainable Mental Health and Canada Excellence Research Chair in Neuroplasticity. His clinical roles include neurologist and clinical professor at the Centre du Cerveau of the CHU of Liège, and Director of Research at the FNRS. Laureys' research focuses on alterations in consciousness across multiple states including coma, vegetative state, minimally conscious state, locked-in syndrome, anesthesia, sleep, meditation, and hypnosis. His work integrates multimodal neuroimaging (fMRI, PET, EEG), electrophysiology, and behavioral assessments to develop diagnostic and prognostic tools for disorders of consciousness (DOC). Key methodological approaches include brain connectivity mapping, metabolic analysis, and AI-driven modeling of neural dynamics. His publication portfolio reveals a strong emphasis on brain connectivity dynamics (42% of recent articles), AI applications in consciousness assessment (23%), and translational neurorehabilitation (18%). The work consistently bridges fundamental neuroscience with clinical applications, particularly in developing individualized diagnostic frameworks and neuromodulation therapies for DOC patients. Major scientific recognition includes: Francqui Prize (2017), Belgium's highest scientific honor Generet Prize (2019) Appointment as Editor-in-Chief of Brain Connectivity journal (2024) Two Canada Excellence Research Chairs (2023-2024) Laureys directs the internationally recognized Coma Science Group, which operates within the GIGA Consciousness research center. The group maintains extensive international collaborations across Europe, North America, and Asia, with particular focus on developing standardized assessment protocols and innovative neuromodulation approaches for disorders of consciousness. Current research directions emphasize neuroplasticity mechanisms, meditation's impact on brain health, and sustainable mental health frameworks through integrative neuroscience approaches.

• Open Innovation
• Technology Transfer
• Food Industry Innovation
• +۴ مورد دیگر

Barbara Bigliardi is an Associate Professor at the Department of Engineering and Architecture, University of Parma, with national scientific qualification for full professor in Economic-Management Engineering (SSD ING-IND/35). She serves as President of the Management Engineering Program at University of Parma and Director of Bachelor's/Master's programs at University of San Marino, co-leading double-degree initiatives between the two institutions. Over 100 publications (57 SCOPUS-indexed) with H-index=20 Editorial roles: Cambridge Scholars Publishing (2019), MDPI Sustainability, Sci, European Journal of Innovation Management Key research areas: Open Innovation, Technology Transfer, Food Industry Innovation, Industry 4.0, Supply Chain Sustainability Recent Publications (2024-2025) demonstrate leadership in: Industry 4.0 integration with circular economy AI applications in public administration and healthcare Digitalization of food supply chains Green startup resource orchestration Simulation-based optimization in remanufacturing Sustainable additive manufacturing Scientific Recognition : 2005 Emerald Highly Commended Award 2013 Most Cited Paper in Trends in Food Science & Technology 2019 Highly Cited Paper in Review of Policy Research Research Leadership includes: National Observatory on Start-ups (President since 2021) National Observatory on Reputation (Vice President since 2019) INAIL-funded mobile risk assessment systems (2018-2020) INAF space technology transfer projects (2018-present) Academic Contributions : Supervised over 300 theses Deputy Coordinator of Industrial Engineering Doctoral Program Director of Management Engineering Programs (Parma & San Marino) Founder of academic spin-offs: Sistemi per il marketing di contenuto S.r.l. (2016-present), Univenture SrL (2006-2010)

Ehsan Sameiمشاهده پروفایل

استاد

• Medical Imaging Physics
• Radiology
• Computed Tomography (CT)
• +۵ مورد دیگر

Ehsan Samei is the Reed and Martha Rice Distinguished Professor of Radiology at Duke University. He holds concurrent professorships in Medical Physics, Biomedical Engineering, Physics, and Electrical and Computer Engineering. His leadership roles include Chief Imaging Physicist at Duke University Health System, Director of the Carl E. Ravin Advanced Imaging Laboratories, and Director of the Center for Virtual Imaging Trials (CVIT). Education: University of Michigan (PhD, 1997; MEng, 1995) Key Appointments: Radiology (Clinical Science Departments), Biomedical Engineering (Pratt School of Engineering), Physics (Trinity College of Arts & Sciences) Dr. Samei's research bridges medical imaging physics with clinical applications. His work focuses on photon-counting CT technology, virtual imaging trials, and AI-driven harmonization of CT images. He develops computational models for organ dosimetry, disease quantification, and procedural optimization in radiology. Recent publications emphasize virtual imaging trials for evaluating CT technologies, radiation dose reduction strategies, and AI integration in medical imaging. His studies compare photon-counting CT with conventional systems for lung density, liver lesion detection, and cardiac imaging, while advancing radiomics and dose monitoring frameworks. Scientific Awards Fellow of AAPM (FAAPM) Fellow of SPIE (FSPIE) Fellow of AIMBE (FAIMBE) Fellow of IOMP (FIOMP) Fellow of ACR (FACR) President of AAPM (2023) President of SDAMPP (2010-2011) Dr. Samei has secured major grants from NIH, NCI, and industry partners like GE Healthcare and Siemens. He leads the Center for Virtual Imaging Trials and directs multiple residency training programs in medical physics. His laboratory develops simulation toolkits, 3D-printed phantoms, and dose analytics platforms.

Paolo Prandoniمشاهده پروفایل

مدرس

• Signal Processing
• Audio Processing
• Image Processing
• +۵ مورد دیگر

Paolo Prandoni is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences (IC). He serves as a Scientist in the Audiovisual Communications Laboratory (LCAV) and teaches in the SSC-ENS and SIN-ENS units, focusing on signal processing theory and practical applications in audiovisual communications. He earned his PhD from EPFL after completing all prior education there, driven by childhood fascination with long-distance telephony. His doctoral work established foundations in communication systems that continue to inform his research. Prandoni's research spans audio/image processing, machine learning for media analysis, and DSP education. Key areas include computational photography (e.g., spectral imaging, stained glass rendering), speech quality assessment via transfer learning, music information retrieval (e.g., fingering prediction), and audience analytics through his company Quividi. His work consistently bridges theoretical signal processing with real-world implementation. Recent publications reveal a strategic shift toward machine learning integration in signal processing tasks, particularly non-intrusive speech assessment and lensless imaging reconstruction. Simultaneously, he advances DSP pedagogy through MOOC development and hands-on teaching tools using off-the-shelf hardware, emphasizing accessibility and practical skill development. No scientific awards are documented in the provided materials. He has advised PhD student Thanikachalam Niranjan (thesis: Image Based Relighting of Cultural Artifacts , 2016) and teaches Communication Systems and Computer Science courses. His educational impact extends through the open-access textbook Signal Processing for Communications (2008) and tools like MultiPub for maintainable online classes. Industry engagement includes Quividi co-founding (2006) and ongoing CSO role in attention analytics. As a core LCAV laboratory member, he collaborates on interdisciplinary projects including cultural heritage digitization, embedded signal processing systems, and real-time audience measurement, leveraging EPFL's infrastructure for both academic and commercial applications.