جستجوی استاد راهنمای دانشگاهی

• Digital Technology in Developing Regions
• Economic Vulnerability
• Corruption Studies
• +۵ مورد دیگر

Joel Cariolle is a Research Fellow at Ferdi Center for Studies and Research on International Development, with strong affiliations to CERDI (Centre d'Études et de Recherches sur le Développement International) at Université Clermont Auvergne. He completed his doctoral studies at the University of Auvergne - Clermont-Ferrand I in 2013 with a thesis examining the complex relationship between export instability and corruption. Dr. Cariolle's research spans multiple critical areas in development studies, with particular focus on digital technology challenges for sub-Saharan Africa, regional integration in Francophone Africa, economic vulnerability, and corruption dynamics. His work demonstrates how digital infrastructure like internet access and mobile technology impacts business resilience during crises, agricultural markets, political perceptions, and financial inclusion across the African continent. His research shows that corrupt strategies may serve as informal risk-coping mechanisms when formal financial markets and state capacity are limited. His publication record reflects consistent productivity with numerous high-impact articles in reputable journals, including Revue Economique, Journal of Comparative Economics, and The Journal of Development Studies. Recent publications (2023-2025) show a strong emphasis on digital technology's role in African development, examining topics from submarine cable infrastructure to digital identification systems. Dr. Cariolle's research methodology combines rigorous quantitative economic analysis with deep contextual understanding of African development challenges. His work often involves constructing and analyzing economic indices, conducting empirical tests of economic relationships, and examining policy implications for development practitioners and policymakers. His current research addresses timely issues including digital identification systems (balancing inclusion promises with exclusion risks), internet infrastructure impacts on agricultural markets, and the relationship between digital technology and political perceptions in Africa. This work demonstrates both continuity with his foundational research on economic vulnerability and adaptation to emerging technological trends affecting developing regions.

Jesper Clementمشاهده پروفایل

دانشیار

• Consumer Behavior
• Neuromarketing
• Decision Neuroscience
• +۵ مورد دیگر

Jesper Clement is an Associate Professor at Copenhagen Business School's Department of Marketing, where he leads the SenseLab at the Decision Neuroscience Research Cluster (DNRC). His research focuses on the interdisciplinary intersection of neuroscience and consumer behavior, employing advanced biometric methodologies to examine decision-making processes. Clement directs projects bridging brain research with behavioral analysis, positioning him at the forefront of neuromarketing research. Research Focus Clement's research encompasses several interconnected domains: Consumer Neuroscience: Investigating neural mechanisms behind consumer choices using eye-tracking and biometric tools Sustainable Consumption: Examining food waste reduction, circular economy adoption, and eco-conscious behaviors Cross-cultural Decision Making: Analyzing cultural variations in consumer responses through international studies Sensory Marketing: Exploring how visual and sensory data influence product valuation Research Publications Clement's recent publications (2021-2025) demonstrate a methodological focus on experimental and biometric approaches applied to sustainability challenges. Dominant themes include circular economy implementation, food waste reduction strategies among youth, health-influenced consumption patterns, and visual persuasion in digital contexts. His work frequently employs cross-cultural comparisons, particularly in Mediterranean and African markets. Laboratory Leadership As head of SenseLab, Clement oversees a specialized facility conducting neuromarketing research through: Eye-tracking technology for visual attention mapping Biometric measurements during decision tasks Experimental protocols combining economic and neuroscientific methods

Mohammed Abuhamadمشاهده پروفایل

استادیار

• AI Security
• Deep Learning Security
• Software Security
• +۹ مورد دیگر

Mohammed Abuhamad is an Assistant Professor in the Department of Computer Science at Loyola University Chicago. He holds dual Ph.D. degrees in Computer Science from the University of Central Florida and Electrical and Computer Engineering from INHA University (both 2020), and a Master's in Information Technology (Artificial Intelligence) from the National University of Malaysia (2013). His research focuses on AI/Deep-Learning Security, Software and Mobile/IoT Security, and Privacy, with applications in autonomous vehicles, healthcare, and social media. Key interests include adversarial machine learning robustness, behavioral biometrics, malware analysis, and misinformation detection. Dr. Abuhamad leads two research labs: the Cybersecurity Lab and AI for Secure Computing Research Lab (AISeC) . He teaches COMP 358/458: Big Data Analytics and COMP 388/487: Deep Learning during Fall 2024. He has secured significant research funding including: $3,800,000 NSF Grant for 'CyberCorps Scholarship for Service: CyberRamblers Bolster National Security' $50,000 from Dr. Scholl Foundation for online misinformation research $300,000 NSF Grant for experiential cybersecurity training

Edith Luhangaمشاهده پروفایل

استادیار

• Health Informatics
• Digital Financial Inclusion
• Cybersecurity
• +۳ مورد دیگر

Edith Luhanga is an Assistant Professor at Carnegie Mellon University Africa . She previously served as a lecturer at the Nelson Mandela African Institution of Science and Technology (NM-AIST) in Tanzania. Her research focuses on designing theory-based behavior change systems that integrate human-centered approaches, with applications in health informatics (nutrition, maternal and child health, disabilities management), digital financial inclusion , and privacy/security . Education : Ph.D. in Information Science, Nara Institute of Science and Technology, Japan MSc in Advanced Computing Science BEng (Hons) in Electronic and Computer Engineering, University of Nottingham, UK Her recent publications highlight interdisciplinary work in mobile security , health informatics , and environmental monitoring , particularly using machine learning and deep learning for flood prediction in Tanzania's Kikuletwa River. She has also explored biometric technology adoption and mobile money practices in East Africa. Scientific Awards : OWSD Early Career Fellowship (2023) Next Einstein Forum Award (2022) Luhanga served as deputy project leader for a 10-year capacity-building project via digital technologies at NM-AIST and represented Tanzania in UNESCO's intergovernmental committee on AI ethics. She is affiliated with the Persuasive Technologies Lab and FINIA research group.

• Augmented Reality
• Eye Tracking
• Mixed Reality
• +۴ مورد دیگر

Dr. Kenan Bektas is a researcher at the University of St.Gallen, focusing on Augmented Reality , Eye Tracking , and Context-Aware Systems . His work bridges Mixed Reality and Human-Computer Interaction , with a particular emphasis on gaze-enabled interfaces, object identification, and activity recognition. University of St.Gallen His research explores how Augmented Reality can enhance cognitive offloading and improve user performance. He develops systems like NeighboAR and GEAR , which leverage gaze data and machine learning for object retrieval and activity recognition. Key article trends include: Integration of Eye Tracking with AR/MR systems Development of Context-Aware Interfaces Investigations into Responsible Personalization and privacy in MR Applications in Industrial Processes and remote living (Telelife) His work often involves interdisciplinary collaborations with researchers such as Simon Mayer and Jannis Rene Strecker, and has been published in venues including ACM, PLOS ONE, and Frontiers.

Abdulhadi Shoufanمشاهده پروفایل

دانشیار

• Embedded Security
• Cryptographic Hardware
• Post-Quantum Cryptography
• +۶ مورد دیگر

Dr. Abdulhadi Shoufan is an Associate Professor at the Computer and Information Engineering Department of Khalifa University . His research spans embedded security , cryptographic hardware , and secure drone operations , alongside innovative contributions to educational technology and lecture-free instruction . PhD in Computer Engineering from Technische Universitaet Darmstadt (2007) Director of the Learn-Smartly.com platform (2018–present) Research funded by TII , UAE Ministry of Education , and Hess State Ministry His recent work focuses on zero-trust architectures for chip-to-chip communication, AI-driven drone identification , and generative AI in education . Key trends include applying cryptographic methods to hardware security and leveraging YouTube for quality-controlled educational content delivery. Scientific Awards : Multiple teaching awards from Technische Universitaet Darmstadt Current Projects : Chip-to-Chip Zero-Trust Architecture (TII-funded) Lecture-Free Instruction (Mohammed Bin Rashid Smart Learning Program) LEEVs (YouTube content endorsement system)

• Biometric data collection
• Biometric sensor interoperability
• Differential performance in biometric algorithms
• +۴ مورد دیگر

Jeremy Dawson serves as Associate Professor and Program Coordinator for the Biometrics Minor in the Lane Department of Computer Science and Electrical Engineering at West Virginia University's Benjamin M. Statler College of Engineering and Mineral Resources. He joined the department in Fall 2015 with expertise spanning microelectronics, nanophotonics, and complex multi-domain system integration. Education: Ph.D. in Electrical Engineering, West Virginia University, 2002 M.S. in Electrical Engineering, West Virginia University, 1999 B.S. in Electrical Engineering, West Virginia University, 1997 Research Focus: Dr. Dawson leads biometrics research centered on large-scale dataset creation for sensor evaluation and human factor analysis, while developing novel machine learning algorithms for human identification. His nanophotonic sensor platform work includes pioneering molecular biometrics (DNA) research funded by the NSF IUCRC Center for Identification Technology Research (CITeR), where he identified critical needs for new DNA signal processing methodologies. Key research domains include biometric interoperability, algorithmic performance differentials, nanophotonics, and solid-state lighting applications. Academic Leadership: As Biometrics Minor Program Coordinator, he oversees curriculum development while maintaining active NSF-funded research through CITeR. His work bridges hardware implementation with machine learning applications in biometric systems, emphasizing real-world sensor performance challenges and human identification solutions.

• Forensic science
• Crime
• Population genetics
• +۷ مورد دیگر

Dr. Pet-Paul Wepeba is a Lecturer in the Faculty of Science and Engineering at Anglia Ruskin University , specializing in Forensic Science and Crime . He holds a BMLS from Kwame Nkrumah University of Science and Technology (Ghana), an MSc in Forensic Science from Anglia Ruskin University, and a PhD in Forensic Genetics from the University of Central Lancashire. Expertise in population genetics, forensic genealogy, and kinship analysis Active researcher in post-mortem microbiome genotyping His research focuses on forensic genetics , including Y-chromosome haplotyping, STR locus analysis, and innovative solutions for mass fatality investigations. Publications highlight collaborations with international societies like ISFG and contributions to DNA databases. Pet-Paul also co-supervises PhD projects on genetic markers in the Ghanaian population.

Bruno Jacobمشاهده پروفایل

پژوهشگر

• Speech Recognition
• Automatic Speech Recognition
• Speaker Verification
• +۳ مورد دیگر

Bruno Jacob serves as a Researcher at LIUM (Laboratoire d'Informatique de l'Université du Maine) within Le Mans University, France. His primary affiliation centers on speech technology research, with documented activity from 1994 to 2005 through 18 publications in major international venues. The LIUM laboratory provides his institutional base for advancing speech recognition methodologies. His research program focuses on overcoming fundamental challenges in speech processing through three interconnected thrusts: (1) enhancing large-vocabulary recognition via contextual transcription rules and phonological integration, (2) developing robust speaker verification systems for telephony applications, and (3) pioneering multimodal approaches that fuse acoustic and articulatory information using master-slave HMM architectures. This work consistently bridges theoretical modeling with practical implementation, as evidenced by open-source system development like Sirocco. Analysis of his 15 most recent publications reveals an evolutionary trajectory from foundational HMM research (1994-1996) toward increasingly sophisticated contextual and multimodal systems (1997-2005). Key thematic developments include the transition from isolated word recognition to continuous speech systems, integration of visual speech cues, and specialized applications in password-based verification. The publication pattern shows concentrated productivity peaking in the late 1990s with sustained contributions through 2005. Bruno Jacob maintains active research infrastructure through LIUM laboratory resources and has participated in externally funded initiatives like the PICASSO project for telephone speaker verification. His collaborative framework involves consistent partnerships with core French research units while leveraging European project structures for broader networking. The laboratory environment supports his focus on speech technology innovation through computational resources and academic partnerships. His research group operates within LIUM's computer science infrastructure at Le Mans University, specializing in speech processing toolchains. The laboratory context enables both theoretical algorithm development and practical system implementation, with historical emphasis on open-source frameworks. Current activities likely build upon his documented work in multimodal recognition and contextual rule integration, maintaining relevance to evolving speech technology challenges.

• 3D Object Retrieval
• Biometrics
• Shape Analysis
• +۵ مورد دیگر

Theoharis Theoharis is a Professor at the Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU Trondheim), where he leads research in shape analysis and visual computing. He is a core member of the Visual Computing Lab , focusing on 3D object retrieval, biometrics, and cultural heritage applications. Research Interests : 3D Object Retrieval and Registration Biometric Identification (facial data, somatotype analysis) Shape Segmentation and Cultural Heritage Preservation Medical Imaging and Robotics Notable Projects : PRESIOUS : EU-funded initiative for cultural heritage using visual computing D4FLY : On-the-move biometric verification CHANGE ITN : Monitoring cultural heritage change with 15 PhD theses Publications highlight trends in: 3D shape descriptors (QUICCI, radial intersection count) Deep learning for 3D reconstruction and registration Applications in cultural heritage, medical imaging, and geophysics Education : BSc in Computer Science MSc in Computation DPhil in Computer Graphics and Parallel Processing Advising includes doctoral students like Evdokia Saiti (2023) and Peder Bergebakken Sundt (2024), with contributions to SHREC'16 and 3DOR2022 symposiums. Labs & Collaborations : Visual Computing Lab (NTNU) NTNU's Computing unit European Union FP7-ICT (D3.1 Deliverable)

José Chiloمشاهده پروفایل

دانشیار

• Electrical Engineering
• Wireless Sensor Networks
• Signal Processing
• +۴ مورد دیگر

José Chilo is an Associate Professor at the University of Gävle, Sweden, specializing in Electrical Engineering with a focus on sensor systems, wireless communication, and signal processing. His research spans multiple interdisciplinary domains including industrial automation, environmental monitoring, biomedical applications, and food industry technology. His educational background includes: B.Sc. in Industrial Economics from University of San Agustin Arequipa, Peru (1986) B.Sc. in Electrical Engineering from Royal Institute of Technology (KTH), Sweden (2001) PhD in Physics from Royal Institute of Technology (KTH) (2008) Dr. Chilo's research interests center around wireless sensor networks , machine-to-machine communication , electronic nose technology , and advanced signal processing . His work addresses challenges in electromagnetically disturbed environments, with applications ranging from industrial manufacturing to healthcare diagnostics. He has made significant contributions to the development of reliable communication systems for harsh industrial settings and has pioneered applications of sensor technology in food quality assessment and environmental monitoring. His research consistently bridges theoretical signal processing with practical engineering solutions for real-world problems. Dr. Chilo has been involved in numerous research projects, most notably the 5-year project "Reliable Machine-to-Machine Communication in Electromagnetically Disturbed Environments" in collaboration with various companies. His current work spans sensor development, wireless networks, and advanced measurement techniques across multiple application domains. His laboratory work focuses on wireless sensor systems for environmental monitoring, industrial process control, and biomedical applications. He has developed several electronic nose systems for food quality assessment and environmental monitoring, and his team has created innovative solutions for challenging communication environments like tunnels and industrial facilities.

• Genomic Medicine
• Endocrinology
• Diabetes
• +۳ مورد دیگر

Philippe Froguel serves as a Visiting Professor in General Medical Endocrinology at the Medical School of the European University Cyprus, while concurrently holding the Chair in Genomic Medicine position at Imperial College London. His dual institutional affiliation highlights significant contributions to genomic medicine and clinical endocrinology through international research collaborations and academic leadership. Professor Froguel's research integrates genomic approaches with endocrine disorders, focusing on the genetic architecture of diabetes (particularly latent autoimmune diabetes in adults), inflammatory bowel diseases, and lipid metabolism. His work pioneers multi-ancestry genome-wide association studies incorporating gene-environment interactions, with notable investigations into NOD2 gene variations in Crohn's disease and metabolic-alcohol interactions. This interdisciplinary approach bridges molecular genetics, clinical endocrinology, and forensic anthropology as evidenced by his facial landmark variation studies. Analysis of his 2018-2019 publications reveals consistent emphasis on genetic susceptibility to complex metabolic diseases, utilizing large-scale genomic methodologies across diverse populations. His team has produced landmark studies on lipid metabolism GWAS and autoimmune diabetes pathogenesis, demonstrating methodological innovation in gene-environment interaction modeling while maintaining clinical relevance for diabetes classification and treatment. No specific scientific awards are documented in the provided text, though his leadership in multinational research consortia suggests significant peer recognition within the genomic medicine community. While student mentorship details and grant funding specifics are absent from the current documentation, Professor Froguel's position as Chair in Genomic Medicine at Imperial College London and extensive high-impact publication record indicate substantial research infrastructure involving graduate supervision and competitively funded projects in genomic medicine and metabolic disease research.

• Computer Vision
• Biometrics
• Forensics
• +۳ مورد دیگر

Dr. Kevin Hernandez Diaz is a Postdoctoral Researcher at Halmstad University's School of Information Technology, specializing in computer vision and biometrics. His work bridges theoretical advances in deep learning with practical applications in security, industrial safety, and healthcare. His primary research interests include: Ocular and periocular biometrics for unconstrained environments Deep learning model optimization for edge/mobile deployment Computer vision solutions for industrial safety (PPE/fire detection) Explainable AI for biometric verification systems Cross-spectral recognition and synthetic data generation Analysis of his 15 most recent publications (2020-2024) reveals consistent innovation in making biometric systems robust for real-world deployment. His work shows strong emphasis on practical constraints like computational efficiency, pandemic adaptations, and industrial environmental challenges, with increasing focus on explainability and privacy preservation. His scientific contributions include: Novel architectures for lightweight face recognition (SqueezerFaceNet) Explainable verification frameworks for biometric systems Industrial safety applications using YOLOv4 Thermal-based healthcare monitoring solutions Cross-spectral periocular recognition techniques Dr. Hernandez Diaz maintains active research collaboration within Halmstad University's computer vision community and participates in industry-focused projects addressing real-world computer vision challenges. His doctoral work established new benchmarks for ocular recognition in unconstrained settings, and his current research continues to push boundaries in efficient and robust biometric systems.

• Veterinary Surgery
• Orthopedics and Traumatology
• Veterinary Anesthesiology
• +۷ مورد دیگر

Celal Şahin ERMUTLU is a Professor at Kafkas University's Faculty of Veterinary Medicine, Department of Veterinary Surgery. He has held academic positions since 2009, progressing from Research Assistant to his current Professorship (2024-present). His extensive academic career includes numerous administrative roles including Faculty Board membership and committee leadership positions within the university. His educational background includes a Doctorate in Veterinary Surgery from Kafkas University (2012) and a Veterinary Medicine degree from Ankara University (2007). He has also obtained certifications in various veterinary specialties including small animal surgery, orthopedics, and veterinary medicine. Professor ERMUTLU's research spans multiple critical areas in veterinary medicine, with particular emphasis on surgical techniques, orthopedics, and wound healing. His work demonstrates expertise in both small and large animal surgery, with numerous publications focusing on fracture repair techniques, tendon repair methodologies, and innovative approaches to surgical complications. His research shows a strong translational focus, bridging laboratory findings with clinical applications in veterinary practice. Analysis of his recent publications reveals a clear trend toward advanced diagnostic imaging techniques, particularly retinal imaging for cattle identification and disease diagnosis. His work increasingly incorporates interdisciplinary approaches, merging veterinary medicine with computer vision, artificial intelligence, and molecular biology to develop novel diagnostic and therapeutic approaches. Professor ERMUTLU has been actively involved in numerous research projects as both principal investigator and researcher, with funding from Higher Education Institutions and TÜBİTAK. His collaborative research spans multiple institutions and addresses diverse veterinary challenges from tendon repair to ocular diseases in various animal species. As a dedicated educator, Professor ERMUTLU has supervised doctoral and master's students, with his most recent advisees working on topics including multimodal analgesia in castrated horses and MR imaging of the olfactory bulb in cats. His teaching portfolio covers a wide range of surgical and anesthesiology courses across undergraduate, graduate, and specialized veterinary programs.

• Forest Ecology
• Remote Sensing
• Geographic Information Systems (GIS)
• +۵ مورد دیگر

Burhan GENCAL is a Researcher at the Department of Forest Engineering , Faculty of Forestry , Bursa Technical University . His work focuses on Geographic Information Systems (GIS) , Dendrometry , Forest Yield , and Remote Sensing . Recent publications highlight advancements in Deep Learning for forest monitoring, Land Use/Land Cover Analysis , and Integrated Pest Management . Research Trends : Over the past five years, Dr. GENCAL has investigated spatiotemporal changes in forest ecosystems, soil nutrient dynamics in relation to topography, and precision forestry using drone technology. His studies often integrate GIS and satellite imagery for sustainable forest management. Contact : Email: burhan.gencal@btu.edu.tr Phone: +90 (224) 300 3514 Address: Mimar Sinan Campus, A Block / 417, Bursa Technical University