جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Bioinformatics
• Cyberinfrastructure
• +۱۲ مورد دیگر

Alex Feltus is a Professor in the Department of Genetics and Biochemistry at Clemson University's College of Science. He also serves as Core Faculty in the Biomedical Data Science and Informatics program and as a Faculty Member at the Clemson Center for Human Genetics. With a Ph.D. in Cell Biology from Vanderbilt University (2000) and a B.Sc. in Biochemistry from Auburn University (1992), Feltus has established himself as a leading researcher at the intersection of computational biology and genomics. His research spans artificial intelligence, bioinformatics, cyberinfrastructure, high-performance & cloud computing, systems biology, tumor genomics, medical genetics, crop genetics, genome assembly, systems genetics, and paleogenomics. His work focuses on revealing genomic mechanisms underlying phenotype expression, with particular emphasis on identifying biomarker systems that distinguish between biological states such as normal versus tumor tissues. Feltus's laboratory employs software engineering and computational biology techniques to make molecular discoveries in both human and plant biological systems. They develop elastic advanced compute systems for robust genomics workflows, enabling small labs to perform innovative petascale computational biology. His recent publications demonstrate a strong focus on gene expression analysis, genome assembly, Neanderthal DNA studies, plant genomics (particularly oak and Medicago), and AI applications in genetic research. Among his achievements are the development of open source software, completion of multiple NSF grants, and training of numerous undergraduate, master's, and doctoral students. He is also the co-founder of Praxis AI LLC, through which he extends his 27 years of bioscience research experience to scale computational biology skilling to thousands of learners worldwide via virtual courses, biohackathons, podcasts, and digital learning solutions. Feltus teaches several courses including Bioinformatics, Medical Bioinformatics, Advanced Medical Bioinformatics, Digital Biology, Computational Genomics, Biomedical Informatics, Next-Generation Sequence Analysis, and Perl for Bioinformatics.

• Cyber Security
• Deep Learning
• Vehicular Networks
• +۳ مورد دیگر

Fatih Kurugollu is an Associate Lecturer in Cyber Security at the University of Derby's College of Science and Engineering. His research focuses on Cyber Security, Deep Learning, and IoT applications, particularly in vehicular networks and multimedia analysis. He has contributed to advancements in trust management for connected vehicles, blockchain integration in smart grids, and explainable AI frameworks. Research interests include cybersecurity for smart infrastructure, AI-driven biometric systems, and secure communication protocols. His work often bridges theoretical advancements with real-world applications in transportation and agriculture sectors. Recent publications highlight trends in gait recognition using deep learning, synthetic data labeling for violence detection, and probabilistic AI model interpretation. His interdisciplinary approach spans computer vision, network security, and IoT trust frameworks. Key contributions: Hybrid trust models for vehicle networks, encryption methodologies for smart grids, and blockchain-enabled UAV systems. No scientific awards are explicitly mentioned in the provided text. Advising and grant details are not detailed here. He has been actively involved in collaborative research projects with institutions globally, focusing on vehicular sensor networks and multimedia forensics.

Esperanza Juberaمشاهده پروفایل

پژوهشگر

• Dementia Research
• Neurotechnology
• Memory and Attention Mechanisms
• +۵ مورد دیگر

Esperanza Jubera serves as Head of the Memory Research Unit at Bitbrain (Spain) and holds a visiting researcher position at the Cambridge Consciousness and Cognition Lab, University of Cambridge. Her work focuses on developing neurotechnology solutions for dementia diagnosis and monitoring, utilizing smart textiles and AI-driven personalized interventions to address cognitive decline in aging populations. Her research centers on hippocampal function and memory formation, particularly in Amnestic Mild Cognitive Impairment (aMCI) patients. She pioneered a real-time EEG-based neurofeedback system for personalized neuromodulation, targeting memory-related neural networks to improve cognitive function and slow disease progression. She actively investigates ethical and legal frameworks for neurotechnology integration into daily life, emphasizing quality-of-life improvements for elderly populations despite the absence of cures for conditions like Alzheimer's disease. Through her leadership at Bitbrain's Memory Research Unit, she drives innovation in non-invasive dementia interventions. Her Cambridge affiliation enables interdisciplinary collaboration on human attention and memory mechanisms, leveraging resources like EBRAINS' Brain Atlas and Health Research platform for advanced neural circuit modeling and large-scale data analysis.

Tooska Dargahiمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Privacy Protection
• User-Centric Security
• +۴ مورد دیگر

Dr. Tooska Dargahi is a Senior Lecturer in Cyber Security and International Lead for the Department of Computing and Mathematics at Manchester Metropolitan University. Her research focuses on user-centric security, privacy, and IoT security. She has published over 50 peer-reviewed papers and leads IEEE's CPS-Sec workshop series. She held previous roles at the University of Salford, University of Rome Tor Vergata, and Azad University Tehran. Education: PhD in Computer Engineering (Network Security) from Azad University Tehran (2014). Postdoctoral Researcher at University of Rome Tor Vergata (2015-2017). Visiting Researcher at University of Padua (2014-2016). Lecturer at Azad University West Tehran (2009-2015). Research Interests: User privacy in smart devices, blockchain applications, cybersecurity for autonomous vehicles, and metaverse security. Her work emphasizes practical solutions for modern digital challenges, including frameworks for fintech and IoT resilience. Projects: Principal Investigator for Alan Turing Institute projects on Threat Analysis (2025) and Generative-AI for Healthcare Privacy (2025). Leadership in EU H2020 projects and InnovateUK initiatives, including PRIVEXTRACTOR (2021) and WalletFind (2021). Teaching & Advising: Supervises PhD students like Ahmed Abdullahi (AV security) and has examined PhD/MPhil candidates at Malardalen University, University of Warwick, and others.

Joy Ezeمشاهده پروفایل

مدرس

• Machine Learning
• Internet of Things (IoT)
• Telecommunications
• +۳ مورد دیگر

Dr. Joy Eze is a Lecturer in Computer Science at the Department of Computing, Goldsmiths, University of London. She holds a PhD in Applied Computing from the University of Bedfordshire (2021). Her research focuses on interdisciplinary applications of machine learning, data science, and health technology, with notable contributions to IoT cybersecurity, smart supply chain management, and vehicular networks. Key publications include work on AI-driven temperature control for perishable foods, 5G/6G-enabled Internet of Vehicles, and vulnerability detection in industrial IoT systems. She has presented at international conferences such as DASA 2024 and ITED 2022.

Rishe Naphtaliمشاهده پروفایل

استاد

• Geographic Information Systems
• Database Management
• Health Informatics
• +۵ مورد دیگر

Dr. Rishe Naphtali is a distinguished Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University (FIU), holding the Eminent Chair Professorship in Computer Science. He leads the High Performance Database Research Center (HPDRC) and the NSF I/UCRC for Advanced Knowledge Enablement. His expertise spans Geographic Information Systems, database management, and health informatics, with notable projects like TerraFly (a 100 TB aerial imagery database) and Medical Informatics. Education: PhD in Computer Science from Tel Aviv University (1984). Research grants exceeding $55M from NSF, NASA, IBM, and others. Holder of 8 U.S. patents and over 300 publications, including 6 authored/edited books. Awards include the Inaugural FIU Outstanding University Professor designation. Research focuses on geospatial data analytics, AI-driven medical diagnostics, and high-performance computing. His TerraFly project gained global media attention. Current work emphasizes Alzheimer’s disease prediction via multimodal data and maritime threat detection using neural networks. Awards: Inaugural FIU Outstanding University Professor Eminent Chair Professor in Computer Science Advising and grants: Over $55M in funded research, leading collaborative industry-university initiatives. Active in patent development (8 U.S. patents) and international conferences. Directs TerraFly and Medical Informatics programs. Labs/Teams: HPDRC (database research), I/UCRC (advanced knowledge enablement), and TerraFly team. Engages in cross-disciplinary projects combining GIS, AI, and healthcare.

Chuck Stewartمشاهده پروفایل

استاد

• Computer Vision
• Ecology
• Environmental Conservation

Dr. Chuck Stewart is a Professor in the Department of Computer Science at Rensselaer Polytechnic Institute, with a focus on applying computer vision to ecological research and environmental conservation. His work bridges artificial intelligence with wildlife monitoring, enabling scalable solutions for animal behavior studies. PhD in Computer Science, University of Wisconsin B.A. in Mathematics, Williams College His research interests center on computer vision for ecological applications, including animal re-identification , drone-based monitoring , and dataset development for behavioral analysis. Recent projects involve creating open-source tools like the WildWing UAS and datasets such as KABR and BaboonLand . Recent publications highlight trends in using AI algorithms for cross-species identification, diffusion models in evolutionary studies, and multimodal knowledge graphs for ecological data. Collaborations span institutions and disciplines, emphasizing interdisciplinary innovation. Dr. Stewart is affiliated with the Darrin Fresh Water Institute and contributes to NSF-funded initiatives, including the AI Research Institute, focusing on multidisciplinary approaches to societal challenges in conservation.

• Machine Learning
• Internet of Things
• Biomedical Signal Processing
• +۲ مورد دیگر

Md Abu Sayeed is an Assistant Professor in Electrical and Computer Engineering at Stevens Institute of Technology. His research develops IoT-enabled medical devices for epilepsy and sleep apnea management, emphasizing energy efficiency and real-time processing. Research Focus: Machine learning applications in biomedical edge devices, low-power sensor systems, and IoT healthcare solutions. Current projects include seizure detection wearables and AI-driven drug delivery systems. Students Advised: Harshil Patel Bathini Shravan Kumar Sunil Virendra Gupta Yash Rajendra Ambetkar Pranay Saha (past) Awards: IEEE MetroCon Best Poster Award (2018) Tolouse Graduate School Dean’s Award (2016)

• Optical Wireless Communication
• B5G/6G Networks
• Aerospace Communications
• +۷ مورد دیگر

Dr. Vuong Mai is an Assistant Professor at the School of Computer Science, AI and Electronics , Faculty of Engineering and Digital Technologies , University of Bradford, UK. He is a core member of the Bradford-Renduchintala Centre for Space AI. Previously, he worked as a Research Assistant Professor at KAIST, South Korea. His research focuses on optical wireless, B5G/6G, aerospace communications, and space AI. He teaches modules in MSc Satellite Systems Engineering and MSc Advanced Biomedical Engineering. Research Interests : Optical Wireless Communication (e.g., free-space optics, lasercom) Future Space Networks (e.g., satellite constellations, space quantum internet, interplanetary links) AI/ML-driven solutions for space networks Advertised PhD Projects : AI-Enabled Free-Space Optics for Satellite Communications Earth Observation with AI Quantum Space-Aerial-Terrestrial Networks Advising & Students : Currently supervising PhD students Aftab Hussain and Nighat Sultana, as well as MSc students Thong Tran, Anthony Emuze, and Sethma Bandara. He has advised over 30 students globally. Labs/Teams : Founder and Lead of the OSpace research group, focusing on optical wireless and space networks.

Mahmoud H. Qutqutمشاهده پروفایل

استاد آموزشی

• Smart city-enabling technologies
• Internet of Things (IoT)
• Cybersecurity
• +۳ مورد دیگر

Dr. Mahmoud H. Qutqut is an Assistant Teaching Professor in the Faculty of Computer Science at the University of New Brunswick (UNB) in Fredericton, Canada since September 2023. Previously, he served as Chair of the Cybersecurity and Cloud Computing Department at Applied Science University in Jordan (July 2022–August 2023) and was promoted to Associate Professor there in December 2019. He has held academic positions since 2014, including a visiting role at Queen’s University (2017–2019) where he contributed to research and teaching. His educational background includes a Ph.D. (2014) and M.Sc. (2008) in Telecommunication Systems, and a B.Sc. (2004) in Computer Systems. Research interests focus on smart city technologies, IoT, cybersecurity, and data-driven networks. He actively publishes in top-tier venues such as IEEE Access and has served on technical committees for conferences and journals. Notable achievements include a Teaching Excellence Award nomination (2018) and founding the Cisco Academy at Applied Science University (2015). Dr. Qutqut’s academic career spans teaching roles at Queen’s University, where he instructed courses on computer networks and computing fundamentals. His research bridges theoretical advancements with practical applications in network security, machine learning, and IoT systems. He has supervised impactful student projects, such as winning entries in graduation competitions (2017).

Jakov Chakareskiمشاهده پروفایل

دانشیار

• Virtual Reality Systems
• Augmented Reality Systems
• UAV IoT Sensing and Networking
• +۴ مورد دیگر

Jakov Chakareski is an Associate Professor at the New Jersey Institute of Technology (NJIT) , holding the Panasonic Chair of Sustainability. He directs the Lab for AI-Enabled Virtual and Augmented Reality Immersive Communications and Networked Systems . His roles include academic research leadership in next-generation immersive technologies and networked systems. Education: Ph.D. in Electrical and Computer Engineering from Rice and Stanford Universities. Research focuses on: Virtual/Augmented Reality Systems UAV IoT Sensing & Networking Reinforcement Learning 5G Edge Computing Ubiquitous Communication Systems Awards highlight industry and government recognition, including NSF/NIH funding and Adobe's Data Science Awards. His work bridges academia and industry through collaborations with Microsoft, HP Labs, and NVIDIA. Labs/Teams: Leads the AI-VR/AR Lab, actively involved in interdisciplinary projects.

Mrinal Sharmaمشاهده پروفایل

مدرس

• Cybersecurity
• Internet of Things (IoT)
• Blockchain Technologies
• +۳ مورد دیگر

Mrinal Sharma is a Lecturer in IT and Programme Coordinator for the BSc (Hons) Cyber Security and Digital Forensics at Middlesex University, Mauritius. He joined the university in September 2021 as a Graduate Teaching Assistant during his master's thesis completion and has since advanced to his current roles. His research interests focus on cybersecurity, Internet of Things (IoT), and blockchain technologies, driven by a passion to address modern security challenges through innovative solutions. Teaching: He currently teaches modules including CST 1330 Information Technology Applications CST 2120 Web Applications and Databases CST 2572 Secure Web Technologies CST 3510 Memory Analysis CST 4560 Network Security and Mechanisms Research: His work spans malware threat prediction using AI, blockchain-based healthcare systems, and IoT-driven home security solutions. Recent publications emphasize applications of CNN-SVM ensembles, smart home monitoring via Raspberry Pi, and NFC-enabled patient tracking systems. Student Supervision: He oversees undergraduate and postgraduate projects in cybersecurity and digital forensics, including modules CST 3590, CST 3990, and CST4599.

• Terahertz Technologies
• Biophotonics
• Medical Imaging
• +۴ مورد دیگر

M. Hassan Arbab is an Assistant Professor in the Department of Electrical and Computer Engineering at Stony Brook University. His research focuses on advancing terahertz (THz) emission, detection, and imaging technologies with applications in biophotonics, medical imaging, non-destructive testing, and material characterization. His work integrates electro-optic theory, instrumentation development, and signal processing to overcome challenges in imaging through scattering media and enhancing diagnostic accuracy. Key research areas include THz polarimetric imaging for burn wound assessment, carbon fiber composite analysis, and corneal imaging. He developed the Portable Handheld Spectral Reflection (PHASR) scanner, a portable device enabling clinical applications in burn triage, material defect detection, and medical diagnostics. His team employs machine learning and physics-based models to interpret THz data, achieving breakthroughs in burn injury classification and material parameter extraction. Arbab's contributions span innovative imaging systems like hyperbolic-elliptical lens pairs for spherical surface imaging and telecentric scanning optics. His instrumentation advances include high-speed THz time-domain spectroscopy (THz-TDS) systems with improved resolution and field-of-view. He explores scattering mitigation techniques using wavelet transforms and Monte Carlo simulations to enhance THz imaging in turbid media. Recent clinical studies demonstrate the PHASR scanner's efficacy in non-invasive burn depth determination and wound healing prediction. His work bridges fundamental THz physics with practical applications in healthcare and engineering, supported by interdisciplinary collaborations in biomedical engineering and materials science.

Khan Wahidمشاهده پروفایل

استاد

• Health informatics
• Wireless capsule endoscopy
• Wearable health monitoring
• +۵ مورد دیگر

Professor Khan Wahid is a faculty member in the Department of Electrical and Computer Engineering at the University of Saskatchewan , affiliated with the Division of Biomedical Engineering . His research focuses on health informatics, IoT infrastructure, medical imaging, and wearable health monitoring , with notable contributions to wireless capsule endoscopy, smart-city applications, and sensor systems. He holds a GCC Stars in Global Health Award (2013) and has secured funding from multiple government and institutional grants. Education: BSc, MSc, PhD in relevant fields (details not specified in text). Research Interests : Health informatics & smart-health systems IoT design/deployment and drone infrastructure Medical imaging reconstruction (CT/MRI) Wireless sensor networks and body area networks Quantum-dot cellular automata (QCA) for nanoelectronics FPGA/ASIC-based embedded systems Funding & Recognition : Harper Government investment in medical imaging (2014) UofS GCC Stars in Global Health Award (2013) Advising & Grants : Supervises graduate students in interdisciplinary projects (specific names not listed). Active in securing grants for IoT-enabled healthcare and agricultural sensing systems. Collaborates on projects involving smart-pill devices, fluorometers for cancer detection, and LiDAR-based plant phenotyping. Labs & Teams : Leads projects integrating biomedical engineering, IoT, and nanotechnology within the College of Engineering. Collaborations span academic and industrial partners for medical device innovation.

Reem Hadeedمشاهده پروفایل

مدرس

• Supply Chain Resilience and Sustainability
• Digital Transformation
• Organizations Capabilities and Productivities
• +۴ مورد دیگر

Dr. Reem Hadeed is a Lecturer in Engineering Systems & Supply Chain Management at Aston University's College of Engineering and Physical Sciences. She holds a BSc in Mechanical Engineering, an MSc in Innovation and Technology Management from the University of Bath, and a PhD in Digital Transformation in Supply Chain Management from Warwick Manufacturing Group (WMG). She is a Fellow of the UK Advanced Higher Education (FHEA). Her research focuses on supply chain resilience, digital transformation in manufacturing ecosystems, and logistics optimization. Key areas include AI applications in rail passenger flow analysis, curriculum innovation in higher education, and sustainable practices in fashion supply chains. She collaborates on projects like AstonRail and UK-Centric Supply Chain resilience initiatives. Recent publications explore AI's role in railway education, passenger flow optimization, and digital technologies enabling sustainable fashion. Awards include FHEA recognition for contributions to higher education. Teaching responsibilities include Engineering Project Management, Supply Chain Strategy, and Operational Excellence methodologies. She actively supervises PhD students and leads interdisciplinary research teams addressing industry challenges through academic innovation.