جست‌وجوی استاد و پژوهشگر

Peter Yeatesمشاهده پروفایل

مدرس ارشد

• Medical Education
• Assessment Methods in Healthcare
• Technology-Enhanced Assessment
• +۳ مورد دیگر

Dr. Peter Yeates is a Senior Lecturer at Keele University's School of Medicine and a consultant in acute and respiratory medicine. He specializes in assessor cognition and technology-enhanced assessment within clinical education, focusing on reducing variability in medical exam judgments. He holds a PhD from the University of Manchester (2009–2012) and completed an NIHR Clinician Scientist Award (2018–2023). His research includes the VESCA method for examiner score adjustment and the AD-Equiv study to enhance OSCE authenticity. Education: MBChB from Newcastle University Medical School (2001) PhD in Medical Education from the University of Manchester (2009–2012) Research Interests: Assessor cognition and contrast effects in clinical assessments Technology-enhanced assessment tools like video-based feedback OSCE design and multicentre equivalence Scientific Awards: NIHR Clinician Scientist Award (2018–2023) NIHR Matched Clinical Lectureship in Medical Education (2013) Advising & Grants: Supervises multiple masters and doctoral students Leads Keele's Integrated Academic Training program Recipient of MPS Foundation funding for the ALIGN study Labs/Teams: Methodology Hub at Keele University Clinical Education Centre leadership National incubator for clinical education research

Shane Millerمشاهده پروفایل

استاد مدعو

• Ice Age Colonization of the Americas
• Origins of Agriculture in Eastern North America
• Lithic Technology
• +۴ مورد دیگر

Shane Miller serves as an Adjunct Professor in the Department of Anthropology at Mississippi State University, specializing in prehistoric archaeology with primary research on Ice Age colonization of the Americas and agricultural origins in eastern North America. His academic credentials include: B.A. in Anthropology from the University of Tennessee M.A. in Anthropology from the University of Tennessee Ph.D. in Anthropology from the University of Arizona Miller employs lithic technology, Geographic Information Systems (GIS), and geoarchaeology to investigate past human behavior, with geographic focus on the southeastern United States—particularly the lower Mid-South. His primary field projects include the Swag Site (a Paleoindian quarry in Martin, South Carolina) and the Hester site (a Late Paleoindian/Early Archaic site near Amory, Mississippi). Additional field experience encompasses mammoth kill sites in Arizona, Sonora, and New Mexico; archaeological surveys across Arizona, New Mexico, and west Texas; and GIS analysis for projects spanning the Southwest, Great Basin, and Great Plains. Analysis of his recent publications reveals dominant themes in Clovis and Paleoindian archaeology, with concentrated attention on southeastern United States sites. Key research trajectories include spatial organization of domestic structures at Topper site, Early Holocene landscape use modeling in river valleys, methodological advances in lithic analysis, and critical evaluations of early occupation claims in the Americas. His work consistently integrates technological approaches like GIS with traditional archaeological methods to address questions of human migration, settlement patterns, and cultural transitions during the Late Pleistocene and Early Holocene.

J. Scott Christiansonمشاهده پروفایل

عضو هیئت علمی

• Artificial Intelligence
• Blockchain Technology
• Entrepreneurship
• +۴ مورد دیگر

J. Scott Christianson is an Associate Teaching Professor in the Management Department and Director of the Center for Entrepreneurship and Innovation at the University of Missouri’s Robert J. Trulaske, Sr., College of Business. He specializes in emerging technologies, project management, and educational innovation, with a focus on integrating AI, blockchain, and IoT into curricula. Christianson has held faculty roles since 2014 and previously owned Kaleidoscope Consulting (1998–2019), a firm specializing in videoconferencing solutions. Education: MA in Education and Human Development from The George Washington University (1999) and BA in Biology from the University of Missouri (1991). Research & Teaching: Develops courses on management information systems, entrepreneurial ventures, and digital transformation. His work emphasizes critical thinking about technologies like blockchain and AI, and he has authored textbooks and numerous articles on these topics. Awards: Multiple teaching honors including the Raymond O’Brien Award (2017), Distance Learning Leadership Award (2009), and Top 20 Under 40 (2007). Recognized for contributions to edtech, including pioneering work in interactive television and videoconferencing. Grants & Leadership: Secured grants for integrating clinical simulations into courses and improving project management education. Served on boards such as the State Technical College of Missouri and Boone County Industrial Development Authority. Active in community initiatives like broadband planning and K–12 technology advocacy. Publications: Over 100 works, including books on certification, project management, and educational tech, plus peer-reviewed articles in vision science and computer security. Regular contributor to media discussions on AI, cryptocurrency, and digital ethics.

Alphan Sahinمشاهده پروفایل

استادیار

• Wireless Communications
• Signal Processing
• Machine Learning
• +۴ مورد دیگر

Alphan Sahin serves as Assistant Professor in Electrical Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing since August 2019, specializing in physical-layer wireless communication systems with expertise spanning signal processing, machine learning, and 5G/6G standards development. His academic foundation includes: B.S. Electrical Engineering (2005), Istanbul Technical University B.S. Telecommunications Engineering (double major, 2006), Istanbul Technical University M.S. Electrical Engineering (2008), Istanbul Technical University Ph.D. Electrical Engineering (2013), University of South Florida Research integrates signal processing, communication theory, and AI/ML algorithms to solve physical-layer challenges: Complementary sequence design for low-PAPR OFDM systems Index modulation with chirp signals for integrated radar-communication Distributed learning over wireless networks using FSK and DFT-spread techniques Waveform optimization for IEEE 802.11 and 3GPP 5G NR standards His 12 publications (2020-2022) reveal consistent innovation in physical-layer techniques, particularly complementary sequences and machine learning applications for wireless systems, earning recognition through two major paper awards. Scientific recognition includes: Best Paper Award at IEEE CCNC 2021 Outstanding Paper Award at ICNS 2020 Industry-academia collaboration drives his research, leveraging prior experience at InterDigital for standards development and current university-industry partnerships advancing wireless communication technologies. Dr. Sahin leads research within USC's wireless communications group, focusing on next-generation physical-layer solutions through hands-on development of novel waveforms and machine learning frameworks.

Ahmed Refaey Husseinمشاهده پروفایل

دانشیار

• Edge Computing
• Network Security
• Blockchain
• +۲ مورد دیگر

Dr. Ahmed Refaey Hussein is an Associate Professor in the School of Engineering at the University of Guelph, specializing in Computer Engineering. His research focuses on distributed edge computing, network security, and blockchain applications for next-generation communication systems. He teaches advanced courses in computer architecture and VLSI design while leading research on secure software-defined systems, industrial IoT, and autonomous networking solutions. His work targets practical implementations in smart communities and critical infrastructure protection.

Waseem Abbasمشاهده پروفایل

استادیار

• Network Control Systems
• Cyber-Physical Systems
• Multiagent Systems
• +۵ مورد دیگر

Waseem Abbas serves as an Assistant Professor in the Department of Systems Engineering and Management at the Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas. His academic focus centers on theoretical and applied networked systems research with critical infrastructure applications. His research program investigates network control systems and cyber-physical systems with emphasis on resilience and robustness against faults and strategic attacks. Key methodologies include graph theory (graph coloring, domination) and game theory applied to distributed control architectures. Primary application domains encompass robotic networks, sensor networks, transportation systems, and power grids where global behavior must emerge from local interactions. Specific contributions address robustness, controllability, optimal resource allocation, energy-efficient scheduling, intrusion detection, coverage problems, and resilient sensor placement. Analysis of his 2022-2024 publications reveals concentrated innovation in resilient consensus algorithms for Byzantine fault tolerance, structural controllability using zero forcing sets, and robust network design for critical infrastructure. His work increasingly integrates graph neural networks with control theory while maintaining strong theoretical foundations in graph-based security methods, demonstrating consistent advancement in networked system resilience.

Carlos Varelaمشاهده پروفایل

استاد

• Formal Verification
• Cyber-Physical Systems
• Cloud and Edge Computing
• +۵ مورد دیگر

Carlos Varela is a Professor in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). His research focuses on formal verification of cyber-physical systems, cloud/edge computing, and concurrent programming models. He leads the Worldwide Computing Lab at RPI ( link ). B.S., M.S., Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign Research Interests: Fundamental distributed computing principles for data-driven aerospace systems, including safety envelopes for flight systems, middleware for adaptive distributed systems, and formal verification of cyber-physical systems. His work extends to self-driving cars and health informatics. Publication Trends: His recent work emphasizes formal verification of aerospace systems, ethical decision-making in autonomous agents, and middleware for UAV networks. Keywords include cyber-physical systems, edge computing, and data-driven analytics. Scientific Awards: NSF CAREER Award Best Paper Awards at HPDC-GECO, eScience, CCGrid, CLEI, DASC Industry Awards from IBM, Google, Amazon, and PSEG Grants & Leadership: His research has been funded by the National Science Foundation and the Air Force Office of Scientific Research. He has chaired major conferences like CCGrid 2016 and DDDAS2022, authored a foundational textbook (MIT Press, 2013), and supervised 26 graduate students. As an instrument-rated private pilot with 1100+ flight hours, his work bridges theoretical computer science and practical aerospace systems.

Raj Bhatnagarمشاهده پروفایل

استاد

• Data Mining
• Pattern Recognition
• Artificial Intelligence
• +۴ مورد دیگر

Raj Bhatnagar is a Professor in the Department of Computer Science at the University of Cincinnati, affiliated with the College of Engineering, Architecture and Art. His research focuses on data mining, pattern recognition, AI, and algorithms for bioinformatics. He has secured over 25 grants from federal agencies (NSF, Air Force Research Laboratory), industry (Charles Schwab, Edaptive Computing), and state/private entities, totaling millions in funding. Education: PhD in Computer Science from University of Maryland College Park (1989) Research Interests: His work spans distributed computing, graph theory, machine learning for industrial applications, and cybersecurity. Notable contributions include algorithms for clustering, anomaly detection, and formal concept analysis. He collaborates with Cincinnati Children’s Hospital and the Air Force on projects like predictive analytics for spindle health and verification of microelectronics designs. Recent Grants: Includes a 2023 industry grant for Machine Learning educational seminars (MME I45I), and multiple ongoing Air Force contracts (2018-2022) for ML-based verification test processes. Labs/Teams: Involved with Edaptive Computing’s Data Analytics & Cybersecurity Simulation Center and the Air Force-led STAMP/TAME research initiatives.

Ou Maمشاهده پروفایل

استاد

• Space Robotics
• Machine Learning
• Autonomous Systems
• +۳ مورد دیگر

Dr. Ou Ma is the Alan B. Shepard Chair Professor at the University of Cincinnati's College of Engineering and Applied Science (CEAS), Department of Aerospace Engineering. He leads the Intelligent Robotics and Autonomous Systems (IRAS) Lab, focusing on space robotics, autonomous systems, and machine learning. His academic career includes roles as John Nakayama Chair Professor (NMSU) and visiting positions at Tsinghua University and the German Aerospace Center (DLR). Education: B.Sc. (Zhejiang University), M.Eng. and Ph.D. (McGill University). Research interests span space robotics autonomy, multibody dynamics, human-robot interaction, and intelligent systems. Over 300 peer-reviewed publications and 20+ patents highlight contributions to robotics control, orbital mechanics, and biomedical applications. Notable grants include Air Force-funded projects on space servicing technologies, NASA initiatives for CubeSat systems, and Ohio Department of Higher Education robotics grants. Awards include the Distinguished Researcher Award (2024) and recognition for technical innovation in robotics simulation. Lab activities include developing autonomous lunar infrastructure systems (CableCat), CubeSat testbeds (HABSat), and robotics for on-orbit servicing. Collaborations span industry (Martian Sky Industries) and government agencies (AFRL, ONR).

Konstantinos Limniotisمشاهده پروفایل

مدرس

• Cryptography
• Boolean Functions
• Network Security
• +۵ مورد دیگر

Konstantinos Limniotis is an ICT Specialist at the Hellenic Data Protection Authority since 2009 and an active academic teaching at multiple Greek and Cypriot universities. He is currently teaching 'Network and Telecommunications Systems Security' at the University of Athens, 'Cryptography' and 'Security risk management' at the Open University of Cyprus, and has previously taught at the University of Peloponnese, Harokopio University of Athens, and Technological Educational Institutes. Since 2022, he is a member of ENISA's Ad Hoc Working Group on Data Protection Engineering. Dr. Limniotis received his B.Sc. in computer science (1999), M.Sc. in communications systems and networks (2002), and Ph.D. in 'Signal Processing Techniques in Cryptography' (2007) from the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens, under the supervision of Professor N. Kalouptsidis. His research focuses on the intersection of cryptography, security, and data protection. Dr. Limniotis has made significant contributions to cryptographic Boolean functions, particularly in algebraic immunity properties, and has extended his expertise to practical applications in data protection and privacy. His work bridges theoretical cryptography with real-world applications in personal data protection, particularly in the context of GDPR compliance. Recent research directions include post-quantum cryptography, blockchain security, and privacy-enhancing technologies for emerging applications like AI systems and IoT ecosystems. His publications demonstrate a clear trajectory from theoretical cryptographic research to applied security and privacy solutions that address contemporary regulatory and technological challenges. Dr. Limniotis has received multiple 'Excellence in Teaching' Awards from the Open University of Cyprus (2019-2023), recognizing his contributions to cybersecurity education. His teaching spans graduate programs in Computer and Network Security, Telecommunications Systems, and Data Science. As an active contributor to data protection policy, Dr. Limniotis has participated in multiple ENISA reports on pseudonymization techniques, data protection engineering, and personal data sharing. His work with the Hellenic Data Protection Authority since 2009 demonstrates a strong commitment to bridging academic research with practical data protection implementation.

George P. Kontoudisمشاهده پروفایل

استادیار

• Robotics
• Control Theory
• Machine Learning
• +۵ مورد دیگر

George P. Kontoudis is an Assistant Professor in Mechanical Engineering at Colorado School of Mines, leading the Motion Planning, Active Learning, and Autonomy (MPALA) Lab. He is a core faculty member of the Robotics program at Mines and co-founder of the OpenBionics initiative, which focuses on affordable, open-source robotic hands and prosthetics. Current Appointment: Assistant Professor (2024–present) Postdoctoral Research Associate, University of Maryland (2022–2023) Ph.D. in Electrical Engineering (2021), M.S. in Mechanical Engineering (2018) from Virginia Tech Diploma in Mechanical Engineering (2016) from National Technical University of Athens His research integrates robotics, control theory, and machine learning to develop hybrid frameworks for autonomous systems. Key themes include decentralized multi-agent coordination, adaptive sampling algorithms using Gaussian processes, and biomechatronic prosthetic devices. The MPALA Lab emphasizes diversity, equitable mentorship, and societal impact through robotics applications in healthcare, search-and-rescue, and urban mobility. Recent publications focus on scalable federated learning for multi-agent systems, real-time motion planning with reinforcement learning, and wearable sensor platforms for medical rehabilitation. Articles span robotics, control systems, and biomedical engineering, with applications in underwater communication modeling, prosthetic hand design, and dynamic environment navigation. Robotics: Science and Systems (RSS) Pioneer (2022) Robotdalen Innovation Award (2015) Hackaday Prize Second Place (2015) Dr. Kontoudis mentors a diverse cohort of graduate and undergraduate researchers, including students working on robot hands, multi-robot learning, and wearable medical devices. The lab collaborates with institutions like Oregon State University and Brigham Young University, and he serves as Associate Editor for IEEE Robotics and Automation Letters (RAL).

• Embedded Sensors
• Sensor Networks
• Distributed Systems
• +۳ مورد دیگر

Bruno Rodrigues is an Assistant Professor of Computer Science (Embedded Sensing Systems) at the University of St. Gallen (HSG). His research focuses on embedded sensors, sensor networks, distributed systems, and network security, with additional expertise in software-defined networks and distributed ledgers. He holds a PhD from the University of Zurich (2020), a Master's from the Polytechnic School of the University of São Paulo (2016), and a Bachelor's from the University of Santa Catarina, Brazil (2013). Prof. Rodrigues' professional career includes roles as a Senior Researcher (2020–2024) and Junior Researcher (2016–2020) at the University of Zurich, where he contributed to projects like the EU-funded CONCORDIA H2020 and collaborations with Swiss innovation agencies (KTI/Innosuisse). His work spans DDoS mitigation, blockchain applications in voting systems, and energy-efficient cloud networks. Notable projects include the 'Passive Wireless Intelligence Tracking System (PasWITS)' and 'Energy-Efficiency to Clouds (E2C)' with Ericsson Research. His research portfolio includes over 50 publications on topics such as secure IoT frameworks (SHIFT, WeTrace), blockchain-based voting systems (ProvotuMN, Æternum), and cybersecurity tools like SecGrid for traffic analysis. He has pioneered solutions for privacy-preserving mobile tracking (LaFlector), real-time medical device inventory systems (PMD-Track), and decentralized financial inclusion tools (AfriBit). Prof. Rodrigues' work bridges theoretical computer science with practical applications, emphasizing sustainability, security, and innovation in distributed systems. He has led interdisciplinary projects at the intersection of blockchain technology, sensor networks, and ethical AI, with a focus on real-world implementation challenges.

Youmin Zhangمشاهده پروفایل

استاد

• Fault Diagnosis and Tolerant Control
• Avionics and Flight Control
• UAV Systems and Autonomous Vehicles
• +۵ مورد دیگر

Youmin Zhang is a Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University, affiliated with the Concordia Institute of Aerospace Design & Innovation. His research focuses on advanced control strategies for safety-critical systems, including fault diagnosis, fault-tolerant control, and autonomous vehicle systems. His work spans aerospace, industrial, and mechatronic domains, with applications in UAV navigation, spacecraft formation flying, and real-time environmental monitoring. Research interests include: Fault-tolerant control for safety-critical systems Avionics and flight control systems UAV trajectory planning and swarm coordination Modeling and simulation of physical systems Signal processing for diagnostics Recent publications emphasize resilient control architectures, cybersecurity in autonomous systems, and AI-driven solutions for fault detection in industrial processes. His work bridges theoretical control frameworks with practical applications in aerospace, energy, and environmental systems. He holds an academic position at Concordia’s Sir George Williams and Loyola campuses, and his research contributes to advancing autonomous systems and smart manufacturing technologies.

• Machine Learning
• Computer Vision
• Artificial Intelligence
• +۵ مورد دیگر

Eugene Belilovsky is an Assistant Professor in the Department of Computer Science and Software Engineering at Concordia University. His research focuses on machine learning, computer vision, optimization algorithms, and their applications in medical imaging and federated learning. He explores topics such as continual learning, model merging, and bias mitigation in deep learning systems. His work bridges theoretical advancements with practical applications, including healthcare diagnostics and efficient training strategies for large models. Belilovsky's recent publications emphasize innovative methods like MuLoCo for inner optimizer design, FairDropout for enhancing minority group generalization, and techniques to scale multi-task learning with sparse masks. His studies on federated learning explore incentive mechanisms for decentralized systems and robust pre-training of large language models. His contributions to 3D reconstruction and motion prediction highlight interdisciplinary applications in computer graphics and generative models. His research trends reflect a strong emphasis on improving model efficiency, fairness, and adaptability across diverse domains. While no scientific awards are explicitly listed, his prolific publication record underscores his impactful contributions to AI and machine learning.

Aviv Yaishمشاهده پروفایل

پژوهشگر

• Blockchain Technology
• Cryptography
• Computer Security
• +۳ مورد دیگر

Aviv Yaish is a Doctoral Student in the School of Computer Science and Engineering at The Hebrew University of Jerusalem (HUJI), funded by the Ze’ev Jabotinsky Fellowship. He also served as a Visiting Researcher at the University of Innsbruck, Austria in 2023. His research focuses on the economics and security of blockchains, including transaction fee mechanisms, mining strategies, and time manipulation in cryptocurrencies like Ethereum. Yaish holds an M.Sc. and B.Sc. in Computer Science from HUJI. His research explores interdisciplinary topics at the intersection of computer science, economics, and cryptography. Notable contributions include analyzing miner incentives in blockchain protocols, studying consensus mechanism vulnerabilities, and evaluating hardware costs in cryptocurrency mining. Yaish has been recognized with multiple awards, including the Hebrew University’s teaching excellence award (2021) and Dean’s Prize (2018). Grants: Ze’ev Jabotinsky Fellowship (Ministry of Science & Technology, Israel) Labs: Member of the Security and Privacy Lab at HUJI