جست‌وجوی استاد و پژوهشگر

• Multiprocessor Systems
• Real-Time Embedded Computing
• Distributed Signal Processing
• +۳ مورد دیگر

Prof. Dr. Matthias Rosenthal is a Professor of Multiprocessor and Real-Time Systems at the ZHAW School of Engineering, Zurich University of Applied Sciences (ZHAW), where he also serves as Head of the Research/Focus Area Realtime Platforms. He holds a PhD and MSc in Electrical Engineering from ETH Zurich (1993–1997). His research focuses on multiprocessor systems, hybrid multicore architectures, distributed signal processing, embedded GPU computing, and real-time embedded systems. Key projects include In-Flight GNSS Interference Detection, dAIrector (automated multi-camera live production), and novel AFM techniques for industrial quality control. He has led over 15 industry-focused projects, including collaborations with Innosuisse and companies like Harman International. His work emphasizes real-time systems, FPGA-GPU co-design, and embedded AI solutions. Education: PhD (ETH Zurich, 1997), MSc (ETH Zurich, 1993) Awards: CTI Startup Label (2005) Teaching: Lectures on digital systems, real-time computing, and information theory Notable contributions include advancements in embedded machine learning for food waste management, secure boot concepts for Zynq MPSoC, and low-latency wireless video systems. His research bridges theoretical computer engineering with practical industrial applications.

• Artificial Intelligence
• Data Science
• Machine Learning
• +۷ مورد دیگر

Phivos Mylonas is an Associate Professor at the Department of Informatics and Computer Engineering within the School of Engineering at the University of West Attica. He also maintains academic appointments at Ionian University where he previously served as Associate Professor and Assistant Professor in the Department of Informatics. His academic journey includes adjunct professor positions at several Greek institutions including University of Central Greece, University of the Aegean, and University of Crete. Dr. Mylonas holds a PhD in Electrical and Computer Engineering from the National Technical University of Athens, a Master's Degree in Advanced Information Systems from the National and Kapodistrian University of Athens, and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens. His research spans Artificial Intelligence applications, data science, user modeling, personalization technologies, and semantic frameworks. His scholarly output shows a clear trajectory toward increasingly sophisticated AI applications, with recent publications focusing on ChatGPT integration, fuzzy logic systems, and multimodal interaction. The research demonstrates strong interdisciplinary connections between computer science, education, and cultural heritage preservation. Thomaidio Grant for Science and Art Progress (2005, 2006) ICCS-NTUA Short Term Research Grant (2005-2006) As an academic leader, Dr. Mylonas has served as Director of the Humanistic and Social Informatics Laboratory at Ionian University (2013-2022) and as a Senior Researcher at the Image, Video and Multimedia Laboratory at National Technical University of Athens. He has been instrumental in organizing numerous international conferences and has served on over 200 conference program committees. His laboratory work spans multiple institutions including collaborations with University of Patras and Ionian University.

• Computer Science
• Cybersecurity
• Edge Computing
• +۸ مورد دیگر

Klara Nahrstedt is the Maybelle Leland Swanlund Endowed Chair and Professor at the Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign. She also serves as Director of the Coordinated Science Lab and holds professorships in Electrical and Computer Engineering, the Information Trust Institute, and the National Center for Supercomputing Applications (NCSA). Her expertise spans cybersecurity, edge computing, IoT, and multimedia systems. Her research focuses on immersive content delivery, network security, and AI-driven optimization for edge computing environments. Notable contributions include frameworks for robust 360-degree video analytics, cybersecurity in industrial networks, and energy-efficient video streaming. Awards include AAAS Fellow, ACM Fellow, and the Humboldt Research Award. Recent work emphasizes adaptive systems for IoT, reinforcement learning in multimodal applications, and generative models for intrusion detection. Key projects include Fire360 (firefighting video benchmarks) and AquaScope (underwater image transmission). Collaborations span academia and industry, addressing challenges in smart grids, telemedicine, and urban IoT. Awards: AAAS Fellow (2019), ACM Fellow (2012), Edward J. McCluskey Technical Achievement Award (2012) Labs/Teams: Coordinated Science Lab, NCSA, Information Trust Institute

Mohammad Hajiesmailiمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Machine Learning
• Networking and Distributed Systems
• +۵ مورد دیگر

Mohammad Hajiesmaili is an Associate Professor at the Manning College of Information and Computer Sciences (CICS), University of Massachusetts Amherst. He leads the SOLAR Lab, focusing on computational decarbonization, data-driven optimization, and sustainable systems. His research bridges theoretical computer science with practical applications in energy systems (e.g., electric vehicles) and networking. Educations: PhD in Computer Science, University of Tehran MSc in Computer Science, University of Tehran BSc in Computer Science, Sharif University of Technology Research Interests: Hajiesmaili’s work centers on designing algorithms for systems operating under uncertainty, particularly in energy-efficient computing, renewable energy integration, and carbon-aware scheduling. His lab develops tools for carbon-intelligent computing, including battery management for data centers and equitable decarbonization strategies for ridesharing platforms. He emphasizes interdisciplinary approaches combining optimization, machine learning, and theoretical analysis. Grants & Awards: NSF CAREER Award (2021) Google Faculty Research Award (2019) Amazon Research Award (2022) Popular Science Brilliant 10 (2022) Multiple ACM eEnergy best paper finalists (2015–2023) His research is supported by grants from NSF, VMWare, Adobe, and Amazon. Lab & Collaborations: The SOLAR Lab collaborates on projects like energy-efficient video streaming (SODA, BONES), carbon-aware scheduling (CarbonClipper), and equitable decarbonization in transportation (LEAD). Hajiesmaili also contributes to the Center for Data Science and Theoretical Computer Science Group at UMass Amherst.

Michael Zinkمشاهده پروفایل

استادیار

• Network Protocols
• Multimedia Distribution
• Wireless Networks
• +۵ مورد دیگر

Michael Zink is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst and an adjunct assistant professor in the Manning College of Information and Computer Sciences (CICS). He is affiliated with the Microwave Remote Sensing Laboratory and has held roles including assistant research professor in computer science. His research focuses on network protocols, multimedia distribution systems, and high-bandwidth data networks, with contributions to the KOMSSYS streaming platform and FPGA-based network architectures. Zink's work spans topics like secure video streaming, LED wall calibration, and federated learning for sustainable UAV operations. He received the Best Paper Award at Multimedia Computing and Networking (2008). Education: PhD from Darmstadt University of Technology. Research Interests: Sensor networks, wireless and wired multimedia distribution, network protocol optimization, video streaming security, and distributed cloud platforms. Recent work includes innovations in hue-preservation for virtual production and carbon-efficient federated learning (CEFL). Technical Contributions: Developed systems for real-time route configuration of entertainment content, scanner noise elimination in film restoration, and profile-based HDR content generation. His team explores network-attached FPGAs in cloud environments and edge-to-cloud workflows for scientific applications. Labs & Teams: Active in the Microwave Remote Sensing Laboratory and collaborates with the Open Cloud Testbed (OCT) for cloud infrastructure research. Engaged in federated cyberinfrastructure projects like the ERN Cryo-EM Pilot.

• Artificial Intelligence
• Natural Language Processing
• Quantum Computing
• +۷ مورد دیگر

Dimitris Gkoumas is a Postdoctoral Research Assistant at Queen Mary University of London (QMUL), specifically within the School of Electronic Engineering and Computer Science. His role involves advancing interdisciplinary research at the intersection of computer science, artificial intelligence, and healthcare. His research interests focus on AI-driven healthcare solutions, quantum computing-inspired machine learning, natural language processing (NLP), and multimodal data fusion. Key areas include developing longitudinal datasets for dementia diagnosis, applying large language models (LLMs) to clinical tasks like suicidality risk detection, and exploring quantum theory for decision-making systems in information retrieval and sentiment analysis. His work bridges technical innovation with societal impact, such as analyzing parliamentary debates (ParlaMint) and investigating xenophobic attitudes via social media. He also contributes to collaborative platforms like the European Language Grid, promoting cross-lingual NLP advancements. While no formal awards are listed, his publications reflect a strong commitment to cutting-edge research. His advising and grants activities remain unspecified in the provided texts. Dimitris has contributed to educational technology through projects like HistoryLand, a game for primary education history learning.

Pedro Sarmentoمشاهده پروفایل

پژوهشگر ارشد

• Sound and Music Computing
• Deep Learning
• AI in Music
• +۳ مورد دیگر

Pedro Sarmento is a Research Fellow at Queen Mary University of London's School of Electronic Engineering and Computer Science. His research focuses on Sound and Music Computing , leveraging deep learning and AI techniques for symbolic music generation, particularly in guitar tablature formats. He leads projects like Guitar-Oriented Neural Music Generation , exploring prescriptive notation in fretted instruments using datasets like dadaGP and GigaMIDI. His work integrates transformer models for tasks such as emotion-conditioned music generation, style transfer, and live coding performances. Notable applications include mapping smart city sensor data (e.g., air quality) to musical outputs. Collaborations span music informatics, interdisciplinary projects in progressive metal composition, and AI ethics in creative processes. Research highlights include conditional music generation, guitarist style modeling, and dataset development for expressive music performance analysis. Pedro contributes to the Centre for Digital Music (C4DM) and actively publishes in AI-driven music technology, bridging computational methods with artistic creativity.

Ganesh Krishnasamyمشاهده پروفایل

مدرس

• Computer Vision
• Machine Learning
• Pattern Recognition
• +۶ مورد دیگر

Ganesh Krishnasamy is a Lecturer at the School of Information Technology, Monash University Malaysia. He holds a PhD in Electrical Engineering from the University of Malaya, with earlier degrees from Universiti Kebangsaan Malaysia (B.Eng and M.Eng in Electrical and Electronic Engineering). His research focuses on computer vision, pattern recognition, manifold learning, and semi-supervised learning, with applications in multimedia processing and understanding. He has led three research projects including 'AEinstein: Adversarial AI amongst Materials Discovery Domains' and pioneered semi-supervised action recognition in videos. His work aligns with UN Sustainable Development Goals related to innovation and infrastructure. Research Interests: Computer Vision Pattern Recognition Manifold Learning Semi-Supervised Learning Optimization Algorithms HDR Image Reconstruction Recent Projects: AEinstein Project (2024-2026): Focuses on adversarial AI in materials discovery. Research Management System (2023-2024): Aims to optimize research workflows. Semi-Supervised Image-to-Video Adaptation (2020-2023): Developed ActNetFormer and other hybrid models. Publications: Over 16 outputs since 2014, with recent emphasis on HDR imaging, sports video analysis (badminton rally detection), and optimization techniques. His work bridges theoretical machine learning with commercial applications.

Pei-Lee Tehمشاهده پروفایل

استاد

• Management Information Systems
• Technology Management
• Total Quality Management
• +۳ مورد دیگر

Pei-Lee Teh is a Professor and Head of Department of Management at the School of Business, Monash University . She also directs the Gerontechnology Laboratory , the first of its kind in Malaysia, and founded the IEEE TEMS Malaysia Chapter . Her research bridges gerontology, technology, and management. Bachelor of Information Technology (Multimedia University, 2003) Master of Management (University Putra Malaysia, 2006) PhD in Management (Multimedia University, 2010) Her interdisciplinary research appears in journals like Information & Management , Gerontology , and Expert Systems with Applications , focusing on Management Information Systems , Gerontechnology , and Innovation in Aging . Recent work includes soft robotic grippers , age-friendly smart canes , and mobility solutions for cognitive frailty . She has secured over RM10 million in grants from entities like WHO and Malaysian ministries. Scientific awards include multiple Excellence Awards (2018-2023), Best Paper Awards (HCI, BAM), and the 2019 AACSB ICAM Innovations That Inspire recognition. She serves as Associate Editor for journals like Decision Sciences Journal of Innovative Education and Gerontechnology Journal . As an educational innovator , she integrates field trips with companies like Hewlett Packard into her teaching of courses such as International Management and Management Information Systems . Her work aligns with UN SDGs for Quality Education and Industry Innovation .

• Cybersecurity
• Data Protection
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Chaminda Hewage serves as Interim Associate Dean for Research and Reader (Associate Professor) in the Cardiff School of Technologies at Cardiff Metropolitan University. He leads the Computer Security Programme and holds a Ph.D. in Multimedia Communications from the University of Surrey (2009) and a B.Sc. in Electrical and Information Engineering from the University of Ruhuna (Sri Lanka). His research focuses on cybersecurity, data protection in AI/ML systems, blockchain applications, and multimedia communication security. He has authored over 50 peer-reviewed publications and edited major books on emerging technologies' privacy challenges. Education Background: B.Sc. (Hons) Electrical & Information Engineering, University of Ruhuna (2004) Ph.D. in Multimedia Communications, University of Surrey (2009) Postgraduate Certificate in HE Teaching & Learning, Kingston University (2014) Research Interests: Data protection mechanisms in AI/ML Cybersecurity frameworks for Industry 4.0 Blockchain for public and private sector applications Metaverse privacy and security Edge AI and embedded system security Regulatory compliance in digital transformation Recent Contributions: Co-edited the 2024 Springer volume Data Protection: The Wake of AI and Machine Learning , published influential works on Kubernetes security, V2X communication cryptography, and metaverse privacy. Active in international conferences including C3AI and ICCS. Awards & Recognition: Gold Medal for Academic Excellence (2004), University of Ruhuna ORS Scholarship (2005), HEFCE Fellow of the Higher Education Academy Grants & Collaborations: Leads research projects on cybersecurity for SMEs, smart city infrastructure, and digital transformation. Engages with industry partners through Cardiff Met's innovation networks. Advises on UK government cyber policy initiatives. Labs/Teams: Oversees the Cybersecurity Research Group and collaborates with the ZERO2FIVE Food Industry Centre for IoT applications. Active in multidisciplinary teams addressing Industry 5.0 challenges.

• Video Processing and Analysis
• Multimedia Search and Retrieval
• Affective Computing
• +۹ مورد دیگر

Prof. Naeem Ramzan is a Full Professor of Computing Engineering at the University of the West of Scotland (UWS), serving as Chair of Affective and Human Computing for the Smart Environment Research Centre and Co-lead of the Visual Communication Cluster in AVCN. He leads interdisciplinary research in video processing, multimedia systems, IoT, and eHealth. Education: M.Sc. in Telecommunication (University of Brest, France, 2004) Ph.D. in Electronics Engineering (Queen Mary University of London, 2008) Research Interests: Video quality evaluation and standards (MPEG, VQEG) Brain-inspired multi-modal cognitive systems eHealth applications and connected health solutions AI-driven fall detection and physiological signal analysis Awards: STARS Award (2014, 2016) for research excellence at UWS Contribution Reward (2009, 2011) for teaching/research at Queen Mary Advising & Grants: Lead PI for UK-Algeria Grant (€160K, 2016-2018) KTP Projects: Agile Computer Vision (2015-2017), Jabel collaboration (2016) Funded PhD/Postdoc programs in emotion recognition and computer vision Professional Roles: Co-chair of VQEG’s UltraHD, VLQA, and PsyPhyQA groups Senior IEEE member and BSI voting member

• Net-centric Information Systems
• Service-Oriented Architectures
• Web Engineering
• +۶ مورد دیگر

Giannis Tzimas is a Professor at the Department of Electrical and Computer Engineering, University of Peloponnese. He holds a BSc and PhD in Computer Engineering and Informatics from the University of Patras. His research focuses on Net-centric systems, Web Engineering, Big Data, AI applications, Digital Transformation for public sectors, and Bioinformatics. He has been a World Bank consultant since 2018, advising on digital transformation projects in Social Protection, Labor, and Education across Europe, Africa, Asia, and the Caribbean. Dr. Tzimas has extensive leadership experience, including Technical Manager at the Graphics, Multimedia & GIS Lab (University of Patras, 1996–2018) and Technical Coordinator at the Computer Technology Institute (1997–2011). He managed EU-funded R&D projects and collaborated on infrastructure development for the TEI of Messolonghi’s Network Operations Center (2009–2013). His research interests include Service-Oriented Architectures, Web Data Engineering, and applications of Machine Learning in public sector digitization. He has published widely in top journals and conferences, with recent work exploring AI-driven labor market analytics and pandemic employment impacts. Dr. Tzimas collaborates with international organizations and academic institutions, contributing to frameworks for interoperable social protection systems and digital labor market observatories. His work bridges academic research with real-world policy implementation, emphasizing data-driven solutions for societal challenges.

• Compassionate Digital Innovation
• Human-AI Companionship
• Web3 Governance
• +۴ مورد دیگر

Dr. Raffaele Ciriello is a Senior Lecturer at the University of Sydney, affiliated with the Charles Perkins Centre. His research focuses on compassionate digital innovation, human-AI companionship, Web3 governance, and ethical technology use. He holds a PhD and M.Sc. from the University of Zurich and a B.Sc. from the University of Stuttgart, with prior roles as an Assistant Professor at the IT University of Copenhagen. His work bridges interdisciplinary inquiry into sociotechnical systems, emphasizing responsible design and governance of emerging technologies like AI companions and blockchain. He has advised over 6 PhD, 23 Master’s, and 16 Bachelor’s students globally. Awards include Distinguished Member of the Association for Information Systems (2021) and multiple Outstanding Associate Editor accolades for ECIS and ICIS conferences. Current projects include exploring AI companion user perceptions, designing mobile solutions for displaced youth (EduCare), and investigating Web3 governance. He collaborates with firms, startups, and NGOs, and serves as an Associate Editor for leading IS conferences. His teaching spans digital work environments and information systems management.

• Marketing Communications
• Advertising Creativity
• Consumer Insight
• +۳ مورد دیگر

Dr. John Parker is a Lecturer in Marketing at the University of Sydney Business School. His research focuses on marketing communications, particularly the intersection of consumer insight, ideation techniques, and advertising creativity. He explores how creative templates enhance efficiency in advertising development and investigates AI's evolving role in marketing strategy. Teaching responsibilities include MKTG1001: Marketing Principles, MKTG5001: Foundations in Marketing, and MKTG3600: Marketing in Practice. His work emphasizes practical applications of creative processes in professional settings. Research interests span: Insight-driven strategic idea development Template-based ideation efficiency AI's impact on marketing evolution Parker has received multiple teaching awards including the 2023 FFT Award and repeated nominations for the Wayne Lonergan Award. His publications analyze creative performance metrics, emotional advertising appeals, and cross-media creativity challenges.

• Sound Composition
• Digital Music Media
• Visual Music
• +۷ مورد دیگر

Dr. Ivan Zavada is a Senior Lecturer and Program Leader in Composition & Music Technology at the Sydney Conservatorium of Music, part of the University of Sydney. His work focuses on the intersection of sound, visuals, and technology, with specialties in electroacoustic music, digital media, and environmental sustainability. He holds a MMus in Electroacoustic Composition from the Université de Montréal and a PhD from the University of Sydney. Education: MMus (Montreal), PhD (Sydney) Research Interests: Sound composition, digital music media, visual music, cross-cultural composition, AI in music His research explores innovative approaches to sound and visual art, including immersive audiovisual performances and sustainability-themed projects like 'Sounds of Sustainability' with AMP Capital. Current projects include Southeast Asia-focused collaborations on cultural heritage and urban soundscapes. Recent grants include a New Colombo Plan mobility grant for studying underwater sounds in Southeast Asia. He advises PhD students on topics ranging from Korean traditional instruments to spectral music and temporal location in composition. Key Projects: Sounds of Sustainability, Sydney Southeast Asia Centre Collaborative Grants Publications: Over 20 works spanning journals, conferences, and composed pieces