جست‌وجوی استاد و پژوهشگر

• Clothing Technology
• Functional Clothing Design
• Apparel Fit and Customization
• +۵ مورد دیگر

Dr. Arzu Vuruşkan is an Associate Professor at the Department of Fashion and Textile Design, Faculty of Fine Arts and Design, Izmir University of Economics. She holds a PhD in Textile Engineering (2010) and has completed academic training at Dokuz Eylul University (Turkey) and Niederrhein University (Germany), supported by a DAAD award. Education: Bachelor & Master in Textile Engineering (2002, 2005) - Dokuz Eylul University Second Master in Textile and Clothing Management (2009) - Niederrhein University Her research focuses on clothing technology, functional apparel design, 3D body scanning applications, and mass customization systems. She has developed an AI-based fashion recommendation platform (Tübitak project) and conducted groundbreaking work on pressure distribution in athletic clothing through collaborations with Cornell University (2015-2017) as a Fulbright Visiting Scholar. Recent publications address dynamic body modeling, light-integrated fashion, and blockchain applications in textiles. Her work combines technical innovation with practical industry applications, including projects with Adidas and Hugo Boss. Administrative roles include Vice-Dean of Faculty (2011-2015) and Senate Member since 2019. Scientific Awards DAAD Award for Master's Studies in Germany Fulbright Visiting Scholar (2016)

Tove Stjern Frønesمشاهده پروفایل

پژوهشگر

• Reading Comprehension
• Literacy
• Critical Reading
• +۴ مورد دیگر

Tove Stjern Frønes serves as a Researcher at the Department of Teacher Education and School Research within the Faculty of Educational Sciences at the University of Oslo. She functions as the Reading Expert for PISA Norway and the National Assessment of Reading Literacy since 2018, with prior advisory roles in these programs dating back to 2015. Her educational foundation includes a 2017 PhD dissertation from the University of Oslo titled Reading and navigating the web. A study of students' navigation strategies , which established her expertise in digital reading comprehension. Earlier professional milestones include serving on Norway's reading expert group (2007-2009) and conducting doctoral research on online reading strategies (2009-2015). Frønes' research centers on critical reading comprehension across physical and digital environments, with particular emphasis on students' navigation strategies in complex online texts, assessment methodologies for reading literacy, and equity issues in educational outcomes. Her work bridges cognitive psychology and educational practice through innovative methodologies including eye-tracking and logfile analysis to examine metacognitive processes during reading tasks. Her publication trajectory from 2020-2025 reveals evolving focus areas: initial concentration on PISA assessment frameworks has expanded into critical digital literacy, multilingual reading contexts, and Nordic educational equity models. Recent works demonstrate growing attention to practical classroom applications, particularly in developing assessment frameworks for critical reading and analyzing how socioeconomic factors influence reading comprehension trajectories across international contexts. No scientific awards were documented in the source materials. Her professional activities indicate no formal student advising roles but significant contributions to national testing frameworks and international large-scale assessments. Frønes operates within the Large-scale Educational Assessment (LEA) research group, where she contributes to Norway's participation in PISA and TIMSS surveys. Her current projects focus on strengthening reading culture in schools through evidence-based interventions that address both traditional literacy and emerging digital competencies required for critical engagement with online information.

Michele Rutaمشاهده پروفایل

استاد

• Pervasive Computing
• Ubiquitous Web
• Knowledge Representation Systems
• +۷ مورد دیگر

Michele Ruta serves as Full Professor in the Department of Electrical and Information Engineering at Polytechnic University of Bari, specializing in pervasive computing systems and semantic technologies. His academic journey began with a Master's in Electronics Engineering from the same institution in 2002, followed by a Ph.D. in Computer Science in 2007. His research spans pervasive computing, ubiquitous web systems, knowledge representation, and wireless ad-hoc networks, with recent focus on blockchain integration for IoT, cloud-edge intelligence, and semantic web applications. Key contributions include the COWL ontology framework and Tiny-ME reasoning engine for resource-constrained devices. Analysis of his 15 most recent publications reveals strong emphasis on semantic technologies for smart mobility (2025), AI-driven logistics optimization (2025), and edge-based reasoning systems (2024). His work consistently bridges theoretical knowledge representation with practical applications in smart cities, healthcare, and industrial IoT. As editorial board member for relevant journals and Program Committee participant in international conferences, he actively shapes research directions in his fields. His technical leadership extends to national and international research projects focusing on semantic web infrastructure and IoT integration. Professor Ruta maintains active contributions through his personal research platform and IRIS publication repository, with 178 publications demonstrating sustained scholarly output since 2007. His laboratory work focuses on practical implementations of semantic reasoning for cyber-physical systems, particularly in cloud-edge continuum architectures.

Daniel Conleyمشاهده پروفایل

استاد

• Biogeochemistry
• Silica cycling
• Nutrient cycles
• +۷ مورد دیگر

Daniel Conley is a Professor in the Department of Geology at Lund University and Principal Investigator with BECC (Biodiversity and Ecosystem services in a Changing Climate). His work spans multiple institutions through collaborations, particularly with Jarone Pinhassi's research group at the Centre for Ecology and Evolution in Microbial model Systems (EEMiS) at Linnaeus University. He leads significant research projects funded by the Knut and Alice Wallenberg Foundation, Crafoord Foundation, and FORMAS. Conley's research focuses on biogeochemical cycles of nutrients, especially silicon, and the linkages between land and aquatic ecosystems. His work examines how massive amounts of amorphous silica accumulate on land in soils from plant phytoliths and in lakes as diatoms, affecting the export of weathering products from landscapes to aquatic ecosystems. He investigates long-term trends driven by climate and nutrients, using paleoecological techniques and long-term monitoring data to help manage aquatic ecosystems. His research spans geological time periods from the Proterozoic to the present, examining how changes in silicon cycling have affected ocean productivity and climate. His recent publications reveal a strong focus on Baltic Sea ecosystems, diatom evolution, biogenic silica dynamics, and the impacts of diagenesis on biogenic silica. The research shows increasing integration of geological records with experimental microbiological investigations, creating a comprehensive understanding of Earth's oceanic functioning through time. His work demonstrates significant interdisciplinary connections between biogeochemistry, geology, aquatic microbiology, and genomics. Vladimir Ivanovich Vernadsky Medal (2024) Björn Carlsons Östersjöpris (2023) Fellow of the Association for the Sciences of Limnology and Oceanography (2016) Top 10 cited paper, 2012-2015 (2016) Swedish Geologist of the Year (2014) Professor Conley has supervised numerous PhD students including Brylka, K., Zahajská, P., and Nantke, C. His research has been supported by major grants from the Knut and Alice Wallenberg Foundation, Crafoord Foundation, and FORMAS. He manages infrastructure including a gamma counter for the measurement of 210Pb. His collaborative network spans multiple countries and institutions, with significant work on understanding silicon cycling across geological time periods and its implications for climate change. Conley leads the BECC research environment focusing on biodiversity and ecosystem services in a changing climate. His work integrates geological records with experimental microbiological investigations of key prokaryotes and silicifying eukaryotic phytoplankton groups. This research helps interpret how environmental changes impact global climate and food webs, contributing to understanding of the UN Sustainable Development Goals related to climate action and life below water.

• Machine Learning
• Computer Science
• Natural Language Processing
• +۳ مورد دیگر

Mikolaj Tymon Mazurczyk is a Research Fellow at the Department of Computer Science, University of Copenhagen. His research intersects with machine learning and computer science, focusing on areas such as natural language processing, medical image analysis, and biological data modeling. The Machine Learning Section at DIKU explores both theoretical and applied aspects, including information retrieval, medical data analysis, remote sensing, and sustainability. They participate in the SCIENCE AI Centre and collaborate with various research groups. Dr. Mazurczyk's recent publications highlight advancements in optical neural networks, sustainable AI, and quantum computing applications. His work also addresses fairness in recommender systems and interpretability in large language models, as well as clinical informatics and biomedical data analysis.

Akshitha Sriramanمشاهده پروفایل

استادیار

• Computer Architecture
• Software Systems
• Sustainable Computing
• +۴ مورد دیگر

Akshitha Sriraman is an Assistant Professor at Carnegie Mellon University with joint appointments in Electrical and Computer Engineering and Computer Science. Her research bridges computer architecture and software systems to enable sustainable, equitable, and efficient hyperscale web infrastructures. She holds a PhD in Computer Science from the University of Michigan (2021) and an M.S. in Embedded Systems from the University of Pennsylvania (2015). Research Focus: Dr. Sriraman redesigns computing stacks to achieve high-performance web systems while addressing critical ethical implications like sustainability (e.g., reducing hardware carbon footprint) and equity (e.g., eliminating demographic bias in web scheduling). Her solutions span from analytical models to production deployments at hyperscale, influencing industry hardware designs including Intel's CPUs and Infrastructure Processing Units. Publications: Her 15 most recent publications demonstrate consistent focus on optimizing data center systems through architectural innovations. Key themes include carbon-efficient cloud servers, hardware-accelerated metadata management, and profile-guided microarchitectural optimizations. Work appears in premier venues like ISCA, MICRO, ASPLOS, and IEEE Micro, with two papers receiving IEEE Micro Top Picks distinctions. Awards & Honors: Google ML and Systems Junior Faculty Award (2025) NSF CAREER Award (2023) Intel Rising Star Award (2023) George Tallman Ladd Research Award (2024) IEEE Micro Top Picks (2020, 2024) ACM SIGARCH/TCCA Outstanding Dissertation Award HM (2022) Meta Systems Research Award Facebook Fellowship Students & Funding: Advises 10+ PhD/Master's students working on sustainable systems, equitable computing, and hyperscale architectures. Student achievements include NSF Graduate Fellowships and K&L Gates Presidential Fellowships. Research supported by NSF, Google, Meta, Intel, VMWare, and AWS grants. Lab & Service: Leads the Ethical Computer Systems Lab focusing on hardware/software co-design for societal impact. Founded workshops like HotEthics and initiated DEI activities recognized by CMU's Service Award. Regularly serves on program committees for OSDI, ISCA, and ASPLOS.

Dimitar Stefanov Dimitrovمشاهده پروفایل

استاد

• Evolutionary Biology
• Arthropod Systematics
• Spider Evolution
• +۶ مورد دیگر

Dimitar Stefanov Dimitrov is a Professor at the Department of Natural History, University Museum of Bergen, University of Bergen. His research focuses on evolutionary biology with a background in arthropod systematics and evolution, particularly specializing in spiders, while also expanding to vascular plants and vertebrates. He teaches BIO332 Phylogenetic Methods and maintains active scholarly profiles on Google Scholar, ResearchGate, ORCID, and Web of Science. Dr. Dimitrov's research program aims to understand how evolutionary and ecological processes generate and maintain biodiversity through time and space. He combines species evolutionary histories, contemporary distributional data, historical distributions, and environmental factors to investigate the mechanisms underlying life's distribution on Earth. His work specifically examines factors governing biodiversity patterns at different spatial scales and species responses to climate change. This integrative approach assembles multiple pieces of a complex puzzle from species description to understanding gene-environment interactions. His recent publications (2023-2025) reveal a dual research focus: spider evolution/systematics and plant macroecology/macroevolution. In spider research, he investigates phylogenomics, diversification dynamics, adaptive radiations (particularly Hawaiian Tetragnatha), and orb-weaving spider evolution. In plant research, his work examines global angiosperm diversity patterns, floristic mapping, flowering plant evolution, and species richness-climate relationships. He has also developed bioinformatics tools like NCBIminer and PyNCBIminer for phylogenetic data assembly. Dr. Dimitrov is actively involved in research projects within two broad fields: systematics, macroecology and macroevolution of spiders (with focus on orb weavers and pholcids), and macroecology and macroevolution of seed plants. He participates in the BiGTREE project, a HKdir funded NORPART training network connecting Norway, Colombia, and Peru. His international collaborations span institutions worldwide including Peking University, University of Copenhagen, and Harvard University, supporting his global biodiversity research.

David A. Robbمشاهده پروفایل

پژوهشگر ارشد

• Human-Computer Interaction
• Human-Robot Interaction
• Image-based emotion feedback
• +۵ مورد دیگر

David A. Robb is a Research Fellow in the School of Mathematical and Computer Sciences at Heriot-Watt University, where he has been actively contributing to academic research since completing his PhD in 2015. His career progression shows a clear trajectory from PhD student (2011-2015) to Research Associate (2015-2020) to his current Research Fellow position. Robb is currently leading research efforts across three major EPSRC/UKRI projects: DeMILO (studying expert laser aligners' thinking and strategies), @tas_trust (investigating trust in autonomous systems), and HUME (focusing on human-machine teaming for AUVs). Robb's research interests span multiple interconnected domains within human-centered computing. His primary focus areas include Human-Computer Interaction (HCI) and Human-Robot Interaction (HRI), where he investigates how humans interact with and trust autonomous systems. Additional interests include image-based emotion feedback mechanisms, image summarization techniques, cognitive aspects of human-computer interaction, computer-supported cooperative work (CSCW), and visualization of complex data. His work often bridges theoretical understanding with practical applications in industrial and service environments. Analysis of Robb's publication record reveals a strong trajectory of scholarly contribution with 54 publications to date. His recent work demonstrates a clear focus on practical applications of human-robot interaction in real-world settings, particularly in industrial automation (laser alignment systems) and service robotics (robo-barista studies). A notable trend is his increasing focus on understanding human factors in automation adoption, trust dynamics in human-machine teams, and the practical implementation challenges of deploying autonomous systems in complex environments. His publications span top-tier venues in HCI, HRI, and robotics, demonstrating both breadth and depth in his scholarly contributions. ACM ICMI2021 Best Reviewer Awards (Top 5%) ACM ICMI 2023 Outstanding Reviewer Award ACM ICMI 2024 Outstanding Reviewer Award Honourable Mention ACM CHI 2017 Research Papers and Notes Honourable Mention ACM DIS 2017 Research Papers and Notes Robb has been instrumental in securing and executing multiple significant research grants, particularly through EPSRC/UKRI funding mechanisms. His current role as Experimental Lead for the HRI theme of the ORCA Hub project (a major £5.7 million EPSRC-funded initiative) demonstrates his capability in managing substantial research programs. While specific details about student supervision aren't prominently featured in the provided materials, his active research program and teaching responsibilities (Experimental Design and Web Design and Databases) suggest engagement with graduate students. His work extends beyond pure research to practical implementation, as evidenced by projects like the MIRIAM multimodal interface for autonomous systems and the robo-barista field studies. Robb is affiliated with the Strategic Futures Lab at Heriot-Watt University and has been involved with the ORCA Hub (Offshore Robotics for Certification of Assets), a major UK Robotics and Artificial Intelligence Hub. His collaborative network is extensive, with co-authors from multiple departments at Heriot-Watt as well as international collaborators. Recent projects like the DeMILO study of laser alignment expertise and the @tas_trust project on human trust in autonomous systems indicate his work is increasingly focused on translating fundamental HRI research into practical industrial applications.

Kari Anne Braathenمشاهده پروفایل

استاد

• Arctic Ecology
• Plant-Herbivore Interactions
• Climate Change Impact on Ecosystems
• +۵ مورد دیگر

Kari Anne Braathen is a Professor at the Institute of Urbanism and Landscape Architecture , Oslo School of Architecture and Design, specializing in Arctic and boreal ecosystems. Her work integrates ecology, climate change impacts, and vegetation dynamics. Current Affiliation : Oslo School of Architecture and Design Research Focus : Herbivory effects, climate change, tundra ecosystems, soil-plant interactions Methods : Ancient DNA analysis, NIRS (near-infrared spectroscopy), experimental ecology Her research explores how herbivores (reindeer, geese, rodents) and climate drivers shape Arctic vegetation composition and ecosystem functions. Key themes include niche construction , biotic homogenization , and allelopathic plant interactions . She contributes to global soil fungal diversity understanding through the Global Soil Mycobiome consortium . Recent article trends highlight interdisciplinary approaches combining sedaDNA for Holocene vegetation reconstruction, NIRS for rapid chemical analysis, and large-scale herbivore exclusion experiments . These studies span topics from Empetrum nigrum allelopathy to climate-driven shifts in reindeer pasture quality. She collaborates extensively with researchers like Maria Wilhelmina Tuomi, Claire Armstrong, and Peter Heintzman, contributing to journals such as Ecography , Nature Communications , and Science Advances .

• Natural language processing
• Speech recognition
• Statistical graph recognition
• +۲ مورد دیگر

HW Hon is a full-time Visiting Professor in the Department of Information Engineering. He maintains an active research affiliation with Microsoft, evidenced by his institutional email address and personal research website. His role indicates ongoing academic engagement without indications of part-time status or retirement. His research expertise spans computational linguistics and intelligent systems development, with primary focus areas including: Natural language processing algorithms Speech recognition systems Statistical pattern recognition Web search technologies Large-scale data mining

Yubao Wuمشاهده پروفایل

استادیار

• Big Data Analytics
• Data Mining
• Bioinformatics
• +۳ مورد دیگر

Dr. Yubao (Robert) Wu is an Assistant Professor in the Department of Computer Science at Georgia State University. He holds a Ph.D. from Case Western Reserve University, and B.Eng. and M.Eng. degrees from Dalian University of Technology, China. His research focuses on big data analytics, data mining, and bioinformatics, with emphasis on analyzing large-scale networks in biomedical and social domains. Key areas include graph theory, random walk-based proximity measures, and community detection algorithms. Education: B.Eng. in Electronic and Information Engineering, Dalian University of Technology (2007) M.Eng. in Signal and Information Processing, Dalian University of Technology (2009) Ph.D. in Computer Science, Case Western Reserve University (2016) Dr. Wu’s research emphasizes scalable algorithms for large graphs, including Monte Carlo methods for random-walk-based similarity measures and distributed computing techniques. His work addresses challenges in network analysis such as detecting communities, measuring node similarity, and optimizing search processes in complex networks. He also explores applications in cybercrime analysis (e.g., dark web markets), public health (opioid epidemic prediction via social media), and bioinformatics. His publications span prestigious venues like VLDB, SIGMOD, and ICDE, addressing topics like illicit drug ad detection, dark web certification analysis, and efficient k-vertex connected component discovery. He is based at 1 Park Place, room 638.

Dimitris Poursanidisمشاهده پروفایل

پژوهشگر ارشد

• Environmental Mapping
• Environmental Monitoring
• Earth Observation
• +۶ مورد دیگر

Dimitris Poursanidis serves as a Research Fellow at the Remote Sensing Lab (rslab.gr) within the Institute of Applied and Computational Mathematics at the Foundation for Research and Technology - Hellas (FORTH). His work focuses on environmental mapping and monitoring through innovative technological approaches. His educational background includes a Ph.D. in Marine Ecology (2016), an M.Sc. in Integrated Coastal Zone Management (2008), and a B.Sc. in Ecosystem Management (2004). His academic journey has been complemented by extensive field experience across multiple sectors. Poursanidis specializes in Environmental Mapping and Monitoring using Earth Observation, UAV technology, Non-Destructive Sampling, Photogrammetry, and Scientific Diving. His research particularly emphasizes Satellite Remote Sensing applications in coastal environments and Biodiversity exploitation through Species Distribution Modeling in both terrestrial and aquatic ecosystems. His work bridges the gap between technological innovation and ecological conservation, with a strong focus on Mediterranean environments. Analysis of his recent publications reveals a strong emphasis on Mediterranean marine ecosystems, particularly seagrass habitats like Posidonia oceanica. His work integrates satellite remote sensing with field validation methods to address conservation challenges, invasive species monitoring, and habitat mapping. A notable trend is his increasing use of cloud computing platforms like Google Earth Engine for large-scale environmental analysis, demonstrating technical innovation in processing satellite data for ecological applications. Throughout his career, Poursanidis has collaborated across diverse institutional contexts, working with academic institutions (NHMC, UNEP/MAP, HCMR, University of Athens, University of the Aegean), private sector companies (Marathon Data Systems, NCC ltd, NatureBureau ltd), and NGOs (WWF, IUCN, iSea). His projects have been funded by major European and national programs including LIFE+, INTERREG, EraNET, H2020, MAVA Foundation, THALASSA Foundation, and MEDPAN. At FORTH's Remote Sensing Lab, Poursanidis contributes to cutting-edge research that combines satellite technology with ecological field studies. His work on satellite-derived bathymetry, marine habitat mapping, and invasive species monitoring represents significant contributions to the understanding and conservation of Mediterranean coastal ecosystems.

Hannes Mühleisenمشاهده پروفایل

استاد

• Data Engineering
• Database Systems
• Query Processing
• +۲ مورد دیگر

Hannes Mühleisen is Professor of Data Engineering at Radboud University's Faculty of Science, Institute for Computing and Information Sciences. He maintains a joint appointment as Senior Researcher at Centrum Wiskunde & Informatica (CWI) and serves as CEO of DuckDB Labs. His research focuses on analytical data management systems architecture, with applications in modern data-driven applications. Mühleisen's research interests center on data engineering challenges, particularly the architecture and design of analytical data management systems. He develops universally-useful software artifacts that transform how data systems operate in real-world applications, with emphasis on CPU-efficient processing and embedded analytics. His recent publications demonstrate a consistent focus on database system optimization, particularly in the areas of query processing, sorting algorithms, and web-based analytical processing. This research direction aims to improve the efficiency and scalability of data systems handling large-scale analytical workloads. Dutch Prize for ICT Research 2025 Best paper runner up award at SSDBM 2017 Mühleisen leads DuckDB Labs and collaborates with research teams at Radboud University on data engineering challenges. His work includes developing frameworks for responsible decentralized data architectures and teaching courses on Big Data Infrastructures & Technology.

• Aquatic Microbial Ecology
• Functional Biodiversity
• Organic Matter Cycling
• +۳ مورد دیگر

Prof. Hans-Peter Grossart is a Professor of Aquatic Microbial Ecology and Functional Biodiversity at the University of Potsdam, within the Faculty of Mathematics and Natural Sciences and the Institute of Biochemistry and Biology. He leads the Aquatic Microbial Ecology research group at the Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), where he has been Head of the Department since 2002. His expertise spans microbial community dynamics, organic matter cycling, and applications of aquatic ecology in biotechnology. He has held roles including Head of ASLO’s Young Researcher’s Committee and speaker of the IGB’s Aquatic Biodiversity research focus. Grossart’s research integrates field studies, experimental approaches, and genomic tools to address environmental challenges like microplastic impacts, climate-driven ecosystem changes, and biodiversity conservation. Education: Diploma in Limnology (1991), University of Constance PhD in Limnology (1995), University of Constance Postdoctoral research at Scripps Institution of Oceanography (1996–1998) and Yigal Allon Kinneret Limnological Laboratory (1995–1996) Research Interests: Grossart’s work focuses on microbial roles in nutrient cycles, aquatic biodiversity, and the ecological impacts of human activities. He investigates topics such as microbial interactions in lake ecosystems, fungal diversity, and the effects of pollutants like microplastics and PFAS. His projects bridge fundamental and applied research, including biotechnology applications for waste management and bioactive compound discovery. Key Contributions: Global studies on microplastic effects and antibiotic resistance dissemination Pioneering work on lake snow aggregates and their ecological significance Leadership in large-scale ecological monitoring and long-term dataset analysis Labs/Teams: Heads the IGB’s Aquatic Microbial Ecology group and collaborates internationally on projects like the ParAqua initiative to study zoosporic parasites in aquatic systems.

• Internet of Things (IoT)
• Context-aware computing
• Edge and cloud computing
• +۷ مورد دیگر

Prem Prakash Jayaraman is a Professor in the Department of Computer Science and Software Engineering within the Faculty of Science, Engineering and Technology at Swinburne University of Technology. His research focuses on the intersection of Internet of Things, context-aware computing, and distributed systems, with particular emphasis on practical applications in smart cities, digital manufacturing, and healthcare. Dr. Jayaraman's research interests span a wide range of topics within the IoT ecosystem, including context-aware computing, edge and cloud computing integration, digital twins for industrial applications, sensor network optimization, and performance evaluation of IoT middleware platforms. His work often addresses the challenges of real-world deployment, focusing on practical solutions for context management, data quality assurance, and resource optimization in distributed environments. He has made significant contributions to frameworks for context query generation, adaptive context monitoring, and caching strategies that enhance the efficiency of IoT applications. His recent publications demonstrate a strong trend toward applied research with practical implementations in smart city infrastructure, digital manufacturing, and healthcare applications. His work often combines theoretical frameworks with real-world validation, particularly evident in his studies on 5G-enabled smart cities, AI-driven roadside infrastructure monitoring, and digital twin implementations for manufacturing quality control. The research spans multiple sub-disciplines including context-aware systems, performance evaluation methodologies, and resource optimization techniques for distributed IoT environments. Dr. Jayaraman maintains an extensive collaborative network with researchers across Australia and internationally, particularly with Dimitrios Georgakopoulos, Rajiv Ranjan, Arkady Zaslavsky, and Abdur Forkan. His work appears in top-tier journals and conferences including IEEE Transactions on Industrial Informatics, Future Generation Computer Systems, IEEE Internet of Things Journal, and major conferences like MDM, HICSS, and IEEE Cloud.