جست‌وجوی استاد و پژوهشگر

Antonio Servettiمشاهده پروفایل

استادیار

• Speech and Audio Processing
• Multimedia Communications
• Real-Time Multimedia Network Protocols
• +۷ مورد دیگر

Antonio Servetti is an Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy, where he has been a faculty member since 2007. He is affiliated with the Internet Media Group (IMG) and the Interdepartmental Center PIC4SeR for Service Robotics. His work bridges multimedia processing, network communications, and web technologies. MS in Computer Engineering, Politecnico di Torino, 1999 PhD in Computer Engineering, Politecnico di Torino, 2004 Visiting Scholar, University of California, Santa Barbara, 2003 His research focuses on speech and audio processing , multimedia communications over wired and wireless networks , and real-time web-based multimedia applications . Key interests include WebRTC, Web Audio, HTTP adaptive streaming, and perceptual quality assessment. He has contributed to the development of secure multimedia transmission techniques, including selective encryption of speech and audio. The recent publications highlight a strong trend toward AI-driven modeling of subjective quality in multimedia, especially through deep learning for image and video quality prediction, understanding observer behavior, and remote music performance systems. His work often involves collaboration with researchers in the VQEG JEG-Hybrid group and the NEXA Center. Best Paper Award, Web Audio Conference 2021 Dr. Servetti has led and contributed to several research projects, including BRIC-2024 (acoustics in educational settings), PNRR HiFiReM (remote music education), and INAR (artistic research). He teaches courses such as 'Web Applications', 'Machine Learning for Vision and Multimedia', and 'Digital Audio Processing' across various engineering programs. He is also involved in educational governance as a member of academic councils for multiple degree programs. He is a core member of the Internet Media Group (IMG) , which focuses on multimedia processing and transmission, and contributes to the VQEG JEG-Hybrid working group on video quality assessment, where he develops frameworks for reproducible research and modeling of human perception.

Patrizio Campisiمشاهده پروفایل

استاد

• Digital Signal Processing
• Image Processing
• Biometrics
• +۱۲ مورد دیگر

Patrizio Campisi is a Full Professor in the Section of Applied Electronics at the Department of Engineering, Roma TRE University, Rome, Italy. He leads cutting-edge research in digital signal and image processing with applications to secure multimedia communications and biometrics. He has held visiting positions at the University of Toronto, Beckman Institute (UIUC), and École Polytechnique de Nantes, and has been a Marie Curie Fellow (2010–2014). His educational background includes a Laurea (summa cum laude) in Electronic Engineering from Sapienza University of Rome and a Ph.D. in Electrical Engineering from Roma TRE University. His research focuses on secure biometric recognition (signature, keystroke, EEG, vein), digital watermarking, blind image deconvolution, HDR imaging, and privacy-preserving technologies. He has contributed significantly to template protection, multimodal biometrics, and forensic image analysis. His work bridges engineering, computer science, and security, with strong applications in mobile authentication, border control, and social media safety. The recent publications reflect a strong trend in biometrics, image forensics, and privacy-enhancing technologies, with a focus on real-world applications in mobile systems, healthcare, and law enforcement. Key themes include secure authentication, de-identification, and computational imaging. IEEE Second International Conference on Biometric Systems 2008 Best Student Paper Award IEEE Biometric Symposium 2007 Best Paper Award IEEE International Conference on Image Processing 2006 Best Student Paper Award Marie Curie Fellow (2010–2014) NATO-CNR Advanced Fellowship (2003) IEEE Senior Member Prof. Campisi has supervised numerous students and leads the BioMedia4n6 lab. He has secured major EU grants including H2020 projects AMBER, COSMOS, and ENCASE. His editorial leadership includes serving as Editor-in-Chief of IEEE Transactions on Information Forensics and Security (2018–2020) and Chair of the IEEE Information Forensics and Security Technical Committee (2017–2018). He is actively involved in research networks such as COST Actions on de-identification and biometrics-forensics integration, and has contributed to EU policy via the BEST Thematic Network on biometrics and fundamental rights. His lab, BioMedia4n6, focuses on biometrics, multimedia forensics, and privacy-aware systems.

• Biomedical Signal Processing
• Neuroscience
• Artificial Intelligence
• +۱۲ مورد دیگر

Gabriella Olmo is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where she also serves as a member of the Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab. Her academic and research activities are centered on biomedical signal processing, neuroscience, and artificial intelligence, with a strong emphasis on healthcare applications. She is actively involved in doctoral education, supervising PhD candidates in Computer and Systems Engineering, Artificial Intelligence, and Biomedical Engineering, and has contributed to doctoral programs at both the Polytechnic University of Turin and the University of Turin. Her research interests include biomedical signal processing , neuroscience , artificial intelligence , telecommunications , and digital health , with applications in Parkinson’s disease, sleep disorders, neonatal monitoring, and stress assessment. She leads several major research initiatives funded by national and European programs, including PNRR, EU Horizon Europe, and private foundations, focusing on wearable technologies, AI-driven diagnostics, and telemedicine. Her recent publications demonstrate a consistent trend in developing AI-powered, non-invasive solutions for monitoring neurodegenerative and sleep disorders using wearable sensors and signal processing. These works span topics such as freezing of gait detection, REM sleep behavior disorder, neonatal pain assessment, and deep brain stimulation effects, reflecting a strong interdisciplinary focus on clinical translation of engineering innovations. She has led or managed numerous competitive research projects, including OMNIA-PARK, PERSIMMON, S-CoDe, and NODES, and holds patents in distributed arithmetic coding and video storage. Her leadership roles as Scientific Director and Contractual Manager highlight her active engagement in both academic and applied research. She advises a large cohort of PhD students working on AI in healthcare, computer vision, and biomedical signal analysis. Her teaching portfolio includes courses in Signal Analysis, Telemedicine Technologies, Artificial Intelligence in Medicine, and Machine Learning in Healthcare, across undergraduate, master's, and doctoral levels. She is a key member of the SMILIES research group, which focuses on resilient computing architectures for life sciences, and collaborates with healthcare institutions such as the Orfanelle Nursing Home on geriatric frailty monitoring.

Simone Orcioniمشاهده پروفایل

دانشیار

• Sensor Systems
• Biomedical Engineering
• Signal Processing
• +۵ مورد دیگر

Prof. Simone Orcioni is an Associate Professor at the Department of Information Engineering, Università Politecnica delle Marche. His research focuses on sensor systems, biomedical engineering, nonlinear signal processing, and embedded systems. He leads projects in structural health monitoring, battery management, and telemedicine solutions. Orcioni's work integrates hardware design, algorithm development, and data analytics to address challenges in infrastructure maintenance, healthcare, and sustainable energy. Education: Not explicitly listed, but his role as an associate professor implies advanced academic credentials in electrical or biomedical engineering. Research interests include wearable sensors for healthcare monitoring, IoT-enabled environmental systems, and stochastic modeling of nonlinear processes. He collaborates on interdisciplinary projects involving robotics, circular economy, and smart infrastructure. His publications span journals and conferences in signal processing, biomedical engineering, and electronics. Notable areas include electrochemical impedance spectroscopy, sleep monitoring systems, and low-cost sensor networks. Orcioni's work emphasizes practical applications, such as non-invasive vital sign detection and sustainable battery recycling processes. Awards: None explicitly mentioned. Grants and collaborations are implied through his research projects but not detailed in the text. He contributes to academic governance via his teaching and administrative roles at the university. Labs/Teams: Affiliated with the Department of Information Engineering's research groups focused on embedded systems, biomedical instrumentation, and nonlinear signal analysis. Collaborates with industry partners on projects like smart EV charging systems and telemedicine platforms.

Nicoletta Nocetiمشاهده پروفایل

دانشیار

• Computer Science
• Robotics
• Machine Learning
• +۷ مورد دیگر

Nicoletta Noceti is an Associate Professor at the Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS) of the University of Genoa. Her academic roles include teaching courses such as Computer Vision, Deep Learning, and Machine Learning across undergraduate and master's programs in Robotics Engineering and Computer Science. She also contributes to innovative education initiatives like the 'Smart rogaining' model for computer science orientation. Her research focuses on interdisciplinary areas spanning computer vision, human-centered artificial intelligence, and robotics. Key themes include human motion analysis, causal discovery, and the application of AI in healthcare and social interaction. Recent work emphasizes disentangled representations for microscopy images, scene-unbiased action recognition, and understanding engagement dynamics in virtual teams of older adults. She also explores uncertainty-aware systems for head pose estimation and kinematic primitives in action similarity judgments. Her research frequently intersects with robotics, cognitive science, and biomedical engineering, addressing challenges such as causal inference in nonlinear models and embodied interaction design for robots. These efforts aim to bridge computational methods with human perceptual and motor systems, with applications in assistive technologies and social robotics.

• Multimedia Security
• Multimedia Forensics
• Adversarial Machine Learning
• +۷ مورد دیگر

Tiziano Bianchi is a Full Professor in the Department of Electronics and Telecommunications at Politecnico di Torino (Polytechnic of Turin), Italy. He serves as the Course Coordinator for the Master's Degree in ICT Engineering for Smart Societies and is a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory. Previously, he was an Assistant Professor at the same institution starting in 2012, having joined from the University of Florence where he worked as a Research Assistant from 2005 to 2012. Dr. Bianchi's research focuses on multimedia security technologies, with particular expertise in multimedia forensics, signal processing in the encrypted domain, and security aspects of compressed sensing. His work spans adversarial machine learning, image and video forensics, deep learning for video compression, secure authentication based on deep learning, and satellite image compression. He has made significant contributions to privacy-preserving data processing through compressed sensing techniques. His recent publications demonstrate a strong emphasis on applying deep learning to solve complex problems in image processing, security, and data compression. The research shows a clear trajectory toward efficient, secure, and privacy-preserving processing techniques, particularly for resource-constrained environments like wearable devices and satellite systems. Among his notable recognitions are the Journal of Visual Communication and Image Representation Best Editor of 2022 Award, The SIGMM Test of Time Paper Honorable Mention in Multimedia Security and Privacy, and the 2019 Best Paper Award from IEEE MultiMedia. He has also received multiple editorial awards for his work as Senior Area Editor for the Elsevier Journal of Visual Communication and Image Representation and Associate Editor for the IEEE Transactions on Information Forensics and Security. Dr. Bianchi is the co-founder of ToothPic, a startup offering breakthrough technologies for camera identification, and has co-invented four patents related to cryptographic key obfuscation, user authentication, and camera recognition techniques. He has authored over 100 papers in international journals and conference proceedings, demonstrating sustained scholarly productivity throughout his career.

Giuseppe Di Fattaمشاهده پروفایل

استاد

• Machine Learning
• Data Science
• Data Mining Algorithms
• +۳ مورد دیگر

Giuseppe Di Fatta is a full professor at the Faculty of Engineering of the Free University of Bozen-Bolzano since 2022. Previously, he served as Head of the Computer Science Department at the University of Reading (2016-2021) and contributed to KNIME's early development at the University of Konstanz (2004-2006). His research focuses on machine learning algorithms, data science tools, and interdisciplinary applications in science and industry. He actively participates in IEEE SMC Society's Technical Committee on Machine Learning. He teaches courses such as 'Codeless Machine Learning in KNIME' and 'Data-Driven Decision Making' in the Doctoral Program in Computer Science. His work integrates advanced methods like multi-task learning, transfer learning, and data-driven healthcare solutions. He leads projects such as the 5VREAL volleyball analytics initiative and contributed to BodyCloud, a cloud-assisted platform for wearable device monitoring. Recent research trends include optimizing deep learning models for imbalanced datasets, applying AI to Alzheimer’s disease prediction, and developing scalable data mining techniques for edge computing systems. His publications span topics from neural network optimization to financial market analysis. Key Projects: BodyCloud, 5VREAL, KNIME integration Professional Roles: IEEE SMC TC-ML member, former Head of Computer Science (Reading) Teaching: Doctoral, master's, and bachelor's programs in data science and computer science Collaborations: EU projects, industry partnerships in healthcare and sports analytics

Enrico Masalaمشاهده پروفایل

دانشیار

• Multimedia Communications
• Video Coding
• Digital Image Processing
• +۷ مورد دیگر

Enrico Masala is Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, where he also serves as Deputy Coordinator of the College of Computer, Film and Mechatronics Engineering. He is a member of the Internet Media Group (IMG) and the Interdepartmental Center for Service Robotics (PIC4SeR), and actively contributes to multimedia systems research and education. His research interests include multimedia communications, video coding, digital image processing, and media quality assessment, with a strong focus on AI and machine learning applications. His work spans algorithm development for quality optimization in multimedia transmission over packet networks, including wireless and cloud-based systems. The recent publications highlight a strong trend in leveraging deep learning and AI to model human perception in multimedia quality assessment. Topics include artificial observers, modeling of subjective scoring behavior, and individualized quality prediction—indicating a shift toward more personalized and human-aligned evaluation frameworks in multimedia systems. Elsevier Audioslides competition (2013) ScienceDirect TOP25 Hottest Articles (2012) Fellow - IEEE (2014–) IEEE Senior Member Enrico Masala has served as Scientific Manager for multiple commercial research projects, including the Radio 3.0 streaming platform and V-POP multimedia transmission project. He has also acted as evaluator for CHIST-ERA and the European Commission. He teaches core courses such as Internet Video Streaming and Web Applications , and has delivered international lectures and keynote talks, including at BUPT in China and CONIELECOMP in Mexico. He leads the JEG-Hybrid project within the Video Quality Experts Group (VQEG) and is active in international research networks related to next-generation multimedia networking and cloud-based media delivery.

Arnaldo Spalvieriمشاهده پروفایل

دانشیار

• Digital Communications
• Telecommunications
• Channel Coding
• +۳ مورد دیگر

Prof. Arnaldo Spalvieri is an Associate Professor at the Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano. He holds a degree in Electronic Engineering from the University of Ancona (1985). Prior to his academic role, he worked at Telettra (now Alcatel-Lucent) on modem design and later served as a researcher at Politecnico di Milano before becoming Associate Professor in 1998. His research focuses on digital transmission systems, channel coding, synchronization, and neural networks for pattern recognition. He has co-authored over 100 publications and patents, and co-founded the spin-off company Binary Core (2006), specializing in FPGA design for radio communication systems. Education: Bachelor's in Electronic Engineering, University of Ancona, 1985 Research Interests: His work spans theoretical and applied telecommunications, including information theory, quantum entropy models, and signal processing for MIMO systems. Recent studies explore entropy in quantum systems and phase noise mitigation in communication channels. Professional Contributions: He advises on industry projects with Alcatel-Lucent, STMicroelectronics, and others. Binary Core, his venture, develops FPGA-based modems for terrestrial radio and digital video broadcasting. Teaching includes courses like Digital Communication Systems at Politecnico di Milano. Labs/Teams: Active in Politecnico's research groups addressing FPGA implementation, signal processing, and telecommunications infrastructure.

• English Linguistics
• Diachronic Linguistics
• Synchronic Linguistics
• +۱۲ مورد دیگر

Giuliana Russo is an Associate Professor in the Department of Humanities at the University of Catania, where she has taught English linguistics and translation since 2006. She holds the academic rank of Associate Professor since 2022 and is actively involved in teaching and research. She also teaches at the PhD program in English and American Studies at DISUM and serves as a tutor at the Advanced School of the University of Catania. Her teaching extends to professional training courses such as SiSS, PAS, and CLIL. Academic Rank: Associate Professor Institution: University of Catania Department: Department of Humanities Office: Room 117 Office Hours: Mondays and Wednesdays, 10:00–11:30 (in person) Email: giuliana.russo@tiscali.it Phone: 0957102245 Giuliana Russo's research focuses on both diachronic and synchronic aspects of English linguistics and translation theory and practice. Her work encompasses a wide range of topics, including audiovisual translation, political discourse, language variation, historical syntax (e.g., periphrastic 'do'), anglicisms, bilingualism, and cultural aspects of language. She has contributed to international scholarly efforts such as the Lexicon Grammaticorum and participates in national (PRIN), local (Prometeo), and international (Prescriptivism) research projects. Her research bridges theoretical inquiry with practical pedagogical applications, particularly in language teaching and professional translation. The 15 most recent theses she has supervised reveal a consistent focus on translation studies—especially audiovisual and specialized translation—and English linguistics, including discourse analysis, idiomatic expressions, gender and ideology in translation, and historical language change. Her students frequently explore cultural and media-related topics, such as the influence of social media on language, the localization of video games, and the representation of political and gender issues in language and translation. Giuliana Russo has not received any explicitly mentioned scientific awards in the provided text. She actively supervises graduate students, as evidenced by a long list of thesis topics in areas such as Shakespearean language, political discourse, adolescent language, Euroenglish, and post-colonial translation. She is also engaged in research funding through participation in national and international projects. Her academic service includes tutoring at the Advanced School and contributing to doctoral education. She is involved in ongoing research collaborations and projects but no specific labs or research teams are named in the text. Her work is conducted within the Department of Humanities at the University of Catania.

Alessandro Ugoliniمشاهده پروفایل

دانشیار

• Digital Communications
• Satellite Communications
• Wireless Communications
• +۸ مورد دیگر

Alessandro Ugolini is an Associate Professor at the Department of Engineering and Architecture, University of Parma , Italy. His academic journey began with a Master’s (2012) and Ph.D. (2016) in Telecommunications Engineering from the University of Parma. Research Focus: Digital communications, satellite systems, underwater optical wireless, synchronization algorithms, and spectral efficiency. Key Labs: SPADiC Lab, University of Parma. Recent Research Trends include non-terrestrial networks, underwater optical communication, and waveform design for satellite links. His work bridges theoretical analysis (e.g., OTFS diversity, PLH code decoding) with practical implementations (e.g., LiDAR-based underwater systems). Scientific Awards: Best Paper Award, IEEE Wireless Communications and Networking Conference (WCNC 2019) Collaborations span institutions like the University of Luxembourg, Chalmers University of Technology, and agencies such as the European Space Agency (ESA-ESTEC). He has contributed to DVB-S2X optimization and interference exploitation in multibeam systems.

Chiara Branchiniمشاهده پروفایل

دانشیار

• Syntax of Italian Sign Language (LIS)
• Bimodal Bilingualism
• Language Acquisition
• +۶ مورد دیگر

Chiara Branchini is an Associate Professor at the Department of Comparative Linguistic and Cultural Studies at Ca' Foscari University of Venice. She is actively involved in teaching Italian Sign Language (LIS) and its linguistics to undergraduate and graduate students, and serves as coordinator of the 1st level Master's degree and Advanced Training Course in 'Theory and Techniques of Translation and Interpretation Italian-LIS'. Her research focuses on the syntax of Italian Sign Language , including linear order, interrogative and imperative sentences, complex sentences, sociolinguistic analysis, and bimodal bilingual production . Education: PhD in European Intercultural Studies (2007) from the University of Urbino with thesis 'On relativization and clefting in Italian Sign Language (LIS)'; Master's in Foreign Languages and Literatures (2001) from the University of Urbino with thesis 'The Body at the Service of Language. Analysis of Non-Manual Components in American Sign Language (ASL)' Research: Currently collaborating on the drafting of a grammar blueprint for Italian Sign Language within European research project COST ACTION IS 1006; previously participated in national research project PRIN 2007 'Dimensions of variation in Italian Sign Language' by collecting and analyzing the CORPUS LIS Projects: Scientific director of FSE 2012 research grant 'Development of a video-glossary of specialist terms in Italian Sign Language (LIS)'; collaborator on European project 'Spread the sign: dissemination in Europe of vocational sign language' Publications: Authored numerous articles on LIS syntax, grammar, and bilingualism in outlets like Bilingualism , Sign Language & Linguistics , and Glossa , as well as book chapters in A Grammar of Italian Sign Language (LIS) and SignGram Blueprint Editorial Roles: Member of the editorial board for LiLiS (Languages, Language and Deafness) Edizioni Ca' Foscari Reviewing: Regular abstract reviewer for international conferences

Marco Bertiniمشاهده پروفایل

دانشیار

• Computer Vision
• Multimedia
• Pattern Recognition
• +۴ مورد دیگر

Marco Bertini is an Associate Professor at the Department of Information Engineering, University of Florence, where he teaches in the School of Engineering. He is affiliated with the Media Integration and Communication Center (MICC) and is a member of GIRPR (Group for Image Recognition and Pattern Recognition). His research focuses on computer vision, multimedia, and pattern recognition with applications in video analysis and semantic processing. Laurea Degree in Electronics Engineering from University of Florence (1999) Ph.D. (2004) Dr. Bertini's research spans automatic video analysis, annotation, semantic transcoding, and social media analysis. He has led multiple EU-funded research projects including ASSAVID, DELOS Network of Excellence, VIDI-Video, IM3I, ORUSSI, and euTV. His current work focuses on smart museums and smart cities funded by the Italian Ministry of University, Instruction and Research, along with semantic video coding applications. As an active contributor to the academic community, he serves as Associate Editor for IEEE Transactions on Multimedia and has organized major conferences including European Conference on Computer Vision 2012 and ACM Multimedia 2010. He has also guest-edited special issues for Multimedia Tools and Applications journal. Associate Editor, IEEE Transactions on Multimedia Organizer, European Conference on Computer Vision 2012 Organizer, ACM Multimedia 2010 Guest Editor, Multimedia Tools and Applications Special Issue Dr. Bertini teaches undergraduate and graduate courses including Programming (OOP, C++, design patterns), Parallel Computing, and GPU Programming. He has previously taught Unix Fundamentals, CISCO CCNA, Multimedia Databases, and Information Technologies Laboratory. His research is conducted primarily at the Media Integration and Communication Center (MICC), where he collaborates with industry partners including SELEX ES on Terrestrial Trunked Radio video communication systems.

• Pediatric Neurology
• Neonatology
• Pediatric Anesthesiology
• +۳ مورد دیگر

Elisabetta Lampugnani serves as a Contract Professor in the Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Maternal and Child Sciences (DINOGMI) at the University of Genoa, with professional affiliation at Istituto G. Gaslini in Genoa, Italy. She teaches Anesthesiology (course code 68396) for the Medical-Surgical Sciences Degree Course specializing in Neuro- and Psychomotric Therapy in Evolutionary Age during the 2024-2025 academic year. Her research spans Pediatric Neurology, Neonatology, Pediatric Anesthesiology, and Pediatric Surgery with emphasis on hypoxic-ischemic encephalopathy, genetic epilepsies, airway disorders, and congenital urological conditions. She integrates clinical neurology with genetics and epidemiology to address complex pediatric disorders, frequently employing multidisciplinary collaboration across medical specialties. Analysis of her publications (1998-2023) reveals sustained focus on pediatric neurological and surgical challenges. Recent work examines SARS-CoV-2 impacts on neonatal outcomes and genetic mechanisms in encephalopathies, while earlier research covers pediatric anesthetic techniques and congenital anomalies. Her studies consistently demonstrate collaborative approaches involving neurology, surgery, and anesthesiology teams. Scientific awards: None documented in available materials. Graduate advising and research funding: No information provided regarding doctoral students, master's advisees, or external grant awards in the source text.

GIANLUCA CAMPANAمشاهده پروفایل

استاد

• Visual Neuroscience
• Perceptual Learning
• Brain Stimulation Techniques
• +۳ مورد دیگر

Gianluca Campana is a Full Professor at the University of Padua, specializing in visual neuroscience and neuroplasticity. His research focuses on perceptual priming, learning, and the application of brain stimulation techniques like TMS and tRNS to enhance visual functions in clinical populations such as amblyopia, myopia, and dyslexia. He investigates mechanisms underlying motion perception, form-motion integration, and cognitive benefits of exergames and video games in aging populations. His work bridges basic neuroscience with applied interventions, aiming to improve visual and cognitive deficits through neurotechnological approaches. Research interests include transcranial electrical stimulation mechanisms, perceptual learning paradigms, and the neural basis of motion processing. He explores how sensory and parietal cortices contribute to visual perception and memory. Notable projects include DOMHO (2020), an IoT system for ambient assisted living, integrating neuroscience principles into technology. Recent studies highlight interventions combining action video games with parietal tRNS to boost reading fluency in dyslexia and exergame training's impact on mood/cognition in older adults. His lab also examines motion detection in dogs and humans, revealing parallels in perceptual mechanisms. Key contributions include characterizing contrast-mediated collinear interactions and advancing understanding of visual working memory’s role in serial dependence. His work underscores the dynamic interplay between neural plasticity and external stimuli in optimizing sensory and cognitive functions.