جستجوی استاد راهنمای دانشگاهی

Cristiana Bolchiniمشاهده پروفایل

استاد

• Dependability
• Fault Tolerance
• Reliability Analysis
• +۸ مورد دیگر

Cristiana Bolchini is a Professor at the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano. She holds a PhD in Automation and Computer Science Engineering (1997) and a Laurea in Electronic Engineering (1993), both from Politecnico di Milano. Her research focuses on dependable systems, fault tolerance, and embedded systems design, with recent work on ICT solutions for smart buildings and energy efficiency. She coordinates projects such as the FP7 SAVE initiative and serves on technical committees for conferences like DATE and DAC. Education: PhD in Automation & Computer Science (1997), Laurea in Electronic Engineering (1993), both from Politecnico di Milano. Research interests span dependability (fault modeling, diagnosis), heterogeneous architectures, and sustainable smart environments. She collaborates with Prof. Giuliana Iannaccone on foresight for sustainable built environments and has led EU-funded projects like the SAVE initiative. Publications include over 150 refereed papers on dependability and context-awareness. She holds editorial roles for journals such as IEEE Transactions on Computer-Aided Design and ACM Transactions on Embedded Computing Systems. Awards include IEEE Senior Member status and two Cisco University Research Program Fund gifts (2012, 2014). Academic roles include Rector’s delegate for Southeast Asia relations and leadership of Technology Foresight workgroups. She teaches courses on computer science fundamentals and dependable systems, emphasizing problem-solving and programming in Python and C.

Hyojoon Kimمشاهده پروفایل

استادیار

• Computer Networks
• Programmable Networks
• Software-Defined Networking
• +۳ مورد دیگر

Hyojoon Kim is an Assistant Professor in the Department of Computer Science at the University of Virginia. His research focuses on computer networks and distributed systems, emphasizing in-network computing, programmable networks, software-defined networking (SDN), network measurement, and security. He received his Ph.D. from Georgia Tech (2015) and B.S. from the University of Wisconsin-Madison (2005). Prior to UVA, he worked as an Associate Research Scholar at Princeton University. Education: Ph.D. in Computer Science, Georgia Institute of Technology, 2015 B.S. in Computer Science, University of Wisconsin-Madison, 2005 Research Interests: Programmable Networks & SDN Network Measurement & Performance Analysis Network Security & Privacy In-Network Computing & Real-Time Monitoring Teaching: CS 7457: Advanced Computer Networks (Graduate) CS/ECE 4457: Computer Networks (Undergraduate) CS 6501: Software-Defined Networking & Programmable Networks (Graduate) Lab & Group: The Network Mechanics Group at UVA focuses on improving network monitoring, troubleshooting, and configuration through SDN, P4, and programmable data planes. Advising: Current advisees include Di Zhu (PhD) and Carson Kuzniar. The group actively seeks PhD students interested in systems and networking research.

Michael Fisherمشاهده پروفایل

استاد

• Autonomous Systems
• Robotics
• Formal Verification
• +۳ مورد دیگر

Michael Fisher is the Royal Academy of Engineering Chair in Emerging Technologies and Professor of Computer Science at the University of Manchester. He also holds an Honorary Professorship at the University of Liverpool (2020–2023). His research focuses on autonomous systems, formal verification, robotics ethics, and AI safety. Fisher leads projects such as the Centre for Robotic Autonomy in Demanding Environments (CRADLE) and contributes to IEEE standards for fail-safe autonomous systems. He is a Senior Associate Editor of the Annals of Mathematics and Artificial Intelligence and co-chair of the IEEE Verification of Autonomous Systems committee. His work integrates formal methods with robotics, emphasizing ethical reasoning and assurance in autonomous systems. Key research interests include temporal logic, model checking, and the verification of robotic decision-making. Fisher has received Best Paper Awards in 2018 and 2014, recognizing contributions to human-robot team validation and ethical reasoning frameworks. Fisher’s projects span space robotics, industrial automation, and safety-critical systems. He collaborates with industry partners like Amentum and advises the UK government on AI and robotics policy. His recent work explores neuro-symbolic AI integration and compositional verification for modular robotic systems.

Luan Oliveiraمشاهده پروفایل

استادیار

• Precision Agriculture
• Agricultural Engineering
• Crop Production
• +۳ مورد دیگر

Dr. Luan Oliveira is an Assistant Professor and Precision Agriculture Extension Specialist at the University of Georgia's College of Agricultural & Environmental Sciences (CAES), Department of Horticulture. His roles are distributed as 75% Extension, 20% Research, and 5% Service. He holds a Ph.D. in Agronomy (Crop Production) from São Paulo State University and a B.Sc. in Agronomic Engineering from Federal University of Paraíba, Brazil. His research focuses on precision agriculture tools, agricultural machinery optimization for vegetables and specialty crops, and mechanized operations like planting, spraying, and harvesting. He leads the Precision Horticulture Team, aiming to improve crop quality through innovative technologies. Dr. Oliveira has received the 2021 Gerald O. Mott Award for Meritorious Graduate Student in Science. He has authored/co-authored 9 refereed articles, 7 Extension Publications, 40 conference papers, and 13 book chapters, securing ~$220,000 in grants as PI/Co-PI. His work emphasizes practical applications in precision agriculture, including drone spraying, robotic systems, and mechanized sugarcane planting. Key grants and awards highlight his contributions to agricultural technology and crop management. His research spans diverse crops like peanuts, corn, cotton, and sugarcane, addressing challenges in seeding depth, soil compaction, and equipment wear. He collaborates with the Institute for Integrative Precision Agriculture and UGA's Precision Agriculture initiatives.

Vivienne Szeمشاهده پروفایل

استاد

• Energy-Efficient Machine Learning
• Computer Vision
• Video Compression/Processing
• +۷ مورد دیگر

Vivienne Sze is a Professor at MIT's Department of Electrical Engineering and Computer Science (EECS), part of the School of Engineering. Her research focuses on energy-efficient computing systems for machine learning, computer vision, and video compression, with applications in autonomous systems, healthcare, and IoT. She leads projects integrating algorithmic innovations with hardware design to achieve low-power solutions for embedded and mobile devices. Her work has been recognized through prestigious awards, including the Primetime Engineering Emmy Award for co-developing the HEVC video compression standard and multiple faculty awards from tech giants like Google and Qualcomm. She co-authored the book *Efficient Processing of Deep Neural Networks*, emphasizing practical hardware-software co-design strategies. Research Interests: Energy-Efficient Machine Learning Accelerators Video Coding and Compression Standards Embedded Systems and Mobile Computing Processing-in-Memory (PIM) Architectures AI for Health Monitoring and Digital Health Sustainability in AI Infrastructure Publications highlight trends in: Optimizing DNNs for edge devices Innovations in entropy coding and CABAC Memory-efficient Gaussian-based algorithms Energy-aware design for photonic computing Awards include IEEE conference best paper awards and industry recognitions for her contributions to video coding and hardware acceleration. Her lab's collaborative efforts span academia and industry, aiming to bridge theoretical research with real-world deployable systems.

• Networking
• Cybersecurity
• Machine Learning

Dr. Ahmad Azab is a Lecturer at the University of Sydney’s School of Computer Science, specializing in Networking, Cybersecurity, and Machine Learning. He holds a PhD and industrial certifications including CISSP, CCSP, and CCNA. His teaching spans networking, cybersecurity, ethical hacking, and machine learning applications. Research interests focus on network traffic classification, IoT integration in cognitive radio networks, malware analysis, and cybersecurity countermeasures. His work bridges academic research with industrial applications, emphasizing practical solutions for emerging threats. Publications highlight innovations in botnet detection, malware classification, and cybersecurity frameworks. Supervision of bachelor and master’s projects underscores his commitment to mentoring future technologists. Professional affiliations include IEEE and ISC².

Xianghong Jasmine Zhouمشاهده پروفایل

استاد

• Bioinformatics
• Genomics
• Computational Biology
• +۳ مورد دیگر

Dr. Xianghong Jasmine Zhou is a Professor in the Department of Pathology and Laboratory Medicine at the University of California, Los Angeles (UCLA) School of Medicine . Her work focuses on integrating genomic , epigenetic , and bioinformatic approaches for non-invasive cancer detection and monitoring through cell-free DNA analysis . Principal Investigator for multiple NIH grants (R01CA246329, U01CA230705, etc.) Developed software tools ( cfSNV , cfTools , CancerDetector ) for cell-free DNA mutation and methylation analysis Co-developed CancerLocator and HCC EV ECG score for tumor-of-origin prediction and hepatocellular carcinoma monitoring Research Interests: Specializes in 3D genome modeling , epigenetic regulation , and machine learning for liquid biopsy applications. Her work bridges computational biology with clinical translation , particularly in cancer diagnostics and treatment response assessment . Scientific Contributions: She has pioneered deep learning and population-based modeling approaches for cell-free DNA deconvolution , isoform-level functional annotation , and multi-omics integration . Her 2016 Cell paper on alternative splicing has been highly influential, with over 266 mentions.

Michael Hamمشاهده پروفایل

دانشیار

• Cybersecurity
• Cyber Operations
• Malware Analysis
• +۵ مورد دیگر

Dr. Michael Ham is an Associate Professor and Coordinator for Cyber Operations Initiatives at Dakota State University's Beacom College of Computer & Cyber Sciences. He leads the NSA-designated Center of Academic Excellence in Cyber Operations (CAE-CO) and oversees DSU's Cyber Operations bachelor's program and Ethical Hacking Certificate. His roles include teaching advanced cybersecurity courses, advising doctoral students, and coordinating cyber events like DakotaCon and GenCyber camps. Education: All degrees from Dakota State University — D.Sc. in Cybersecurity (202X), M.S. (20XX), and B.S. (20XX). Research focuses on cybersecurity education, penetration testing, malware analysis, and developing experiential learning tools. Key projects include open-source platforms for hardware reverse engineering and wireless security training using software-defined radios. He emphasizes cyber hygiene practices and offensive security principles in both teaching and industry consulting. Grants highlight his leadership in addressing cybersecurity workforce shortages, including NSF CyberCorps SFS programs (PI), GenCyber camps (Co-PI), and DoD scholarships. Recent publications address ransomware prevention, X.509 certificate validation, and pandemic-era ICT systems. Dr. Ham also serves as an independent security consultant, advising on infrastructure security, vulnerability remediation, and policy development for organizations. His work bridges academia and industry through practical, hands-on cybersecurity education and tool development.

• Cyber Security
• Cryptography
• Steganography
• +۶ مورد دیگر

Rainer Böhme is a Professor at the University of Münster, Germany. His research focuses on cyber security, cryptography, steganography, digital forensics, and blockchain technology. He has made significant contributions to understanding cyber risk quantification, central bank digital currencies (CBDCs), and the socio-technical challenges in cryptocurrency systems. Key areas of research include steganalysis (analysis of hidden data in digital media), forensic techniques for neural network inference pipelines, and the economic implications of cyber insurance. He actively contributes to conferences like the Financial Cryptography Workshops (FC) and the Workshop on Information Hiding and Multimedia Security (IH). Böhme's work bridges theory and practice, addressing real-world issues such as privacy in CBDCs, adversarial attacks on AI systems, and the role of law enforcement in cryptocurrency markets. His recent studies explore the security implications of image orientation in JPEG files and the detection of privileged parties in blockchain transactions. He has collaborated with institutions like the University of Vienna and ETH Zurich, and his research has been published in top-tier venues such as IEEE Transactions on Information Forensics and Security and the ACM Conference on Computer and Communications Security (CCS).

Satish Nagarajaiahمشاهده پروفایل

استاد

• Structural Dynamics
• Earthquake Engineering
• Seismic Isolation
• +۱۲ مورد دیگر

Satish Nagarajaiah is a tenured Professor at Rice University with joint appointments in the Civil & Environmental Engineering Department , Mechanical Engineering Department , and affiliation with Materials Science and Nano-Engineering . His research spans structural dynamics , earthquake engineering , seismic isolation , and adaptive stiffness systems , with significant contributions to negative stiffness , smart tuned mass dampers , and strain sensing using nanomaterials . Joint appointments across Civil, Mechanical, and Materials Science departments Developed 3D-BASIS software for nonlinear dynamic analysis of base-isolated structures Recipient of NSF CAREER Award , ASCE Moissieff Award , and multiple ASCE medals Research Interests include: Nonlinear dynamic analysis of seismic systems Adaptive passive stiffness and control mechanisms Machine learning and computer vision for sparse structural identification Nanocomposite-based strain sensing (contact/noncontact) Development of smart skins and optical sensors for structural health monitoring Scientific Awards include: NSF CAREER Award (1998-1999) ASCE Moissieff Award (2015) Raymond C. Reese Research Prize (2017) Nathan M. Newmark Medal (2020) George W. Housner Medal (2025) Fellow, U.S. National Academy of Inventors (2019) Distinguished Member, ASCE (2021) Editorial Leadership includes Senior Editor of Mechanical Systems and Signal Processing (Elsevier, 2017-2019, 2024-present), Editor of Structural Control and Health Monitoring (Wiley, 2008-2022, 2024-present), and Editor-in-Chief of Structural Monitoring and Maintenance (Techno-Press, 2014-2024).

Sara Nieves Matheu Garciaمشاهده پروفایل

استادیار

• Cybersecurity
• IoT Security
• Information Security
• +۳ مورد دیگر

Sara Nieves Matheu García is an Assistant Professor at the Department of Information and Communication Engineering within the Faculty of Informatics at the University of Murcia. Her research focuses on cybersecurity, IoT security, and trust frameworks in smart systems. She holds a Ph.D. from the University of Murcia, completed in 2020, where her thesis addressed methodologies for IoT device security evaluation under the supervision of Dr. José Luis Hernández Ramos and Dr. Antonio Skarmeta Gómez. Her research group, Intelligent Systems and Telematics, explores innovative solutions for IoT security lifecycle management, blockchain-based certification systems, and risk-based evaluation methodologies. Notable contributions include the CERTIFY framework for IoT lifecycle security and the BIECO framework for ICT ecosystems. Her work emphasizes practical applications in smart grids, smart cities, and healthcare systems. Recent publications highlight advancements in federated cyberattack detection, MUD standard integration, and liability management in 5G architectures. While no specific awards or grants are listed, her extensive scholarly output reflects active engagement with cybersecurity challenges in IoT and critical infrastructure. Her academic contributions span theoretical frameworks, testing methodologies, and collaborative tools for enhancing IoT security. The research group collaborates across disciplines to address real-world cybersecurity threats in dynamic network environments.

Hyune-Ju Kimمشاهده پروفایل

استاد

• Statistics
• Biostatistics
• Regression Analysis
• +۳ مورد دیگر

Hyune-Ju Kim is a Professor of Mathematics at Syracuse University's College of Arts & Sciences, affiliated with the Applied Statistics program. Her research focuses on change-point problems, resampling tests, regression model selection, sequential analysis, and statistical applications in genetics. She holds a Ph.D. in Statistics from Stanford University (1988) and a B.S. in Mathematics from Seoul National University (1983). Recent work emphasizes advancements in Joinpoint regression software, including model selection methodologies for health data analysis. Her contributions address complex survey data challenges and longitudinal medical trend studies. She has served on multiple departmental committees, including executive roles in faculty search committees and graduate programs. Teaching responsibilities include advanced statistics courses such as MAT 652 Probability & Statistics II, MAT 654 Linear Models, and MAT 750 Statistical Consulting. Her service roles include statistics liaison for Syracuse University Project Advance and leadership in curriculum development.

Zihang Luمشاهده پروفایل

استادیار

• Biostatistics
• Epidemiological Research
• Bayesian Analysis
• +۴ مورد دیگر

Dr. Zihang Lu is an Assistant Professor in the Department of Public Health Sciences at Queen’s University, affiliated with the School of Medicine and Faculty of Health Sciences. He holds a PhD and MSc in Biostatistics from the University of Toronto (2020 and 2013) and a BSc in Biostatistics from Southern Medical University (2012). His research focuses on developing novel statistical and machine learning methods for complex data analysis, with applications in clinical and epidemiological studies, particularly in asthma, obesity, sleep, pain, and cancer research. He collaborates with clinicians to address statistical challenges in longitudinal and functional data analysis, Bayesian modeling, and integrative clustering. Education : PhD in Biostatistics, University of Toronto (2020) MSc in Biostatistics, University of Toronto (2013) BSc in Biostatistics, Southern Medical University (2012) Research Interests : Bayesian data analysis and variable selection Longitudinal and functional data clustering High-dimensional data integration Statistical methods for disease subtyping Design and analysis of observational studies Advising & Grants : Current advisees: Caroline Lee (MSc 2022), Veronique Rowley (2021), Zhiwen Tan (PhD 2022), Mojtaba Ahmadiankalati (MSc 2021) Recruiting CANSSI Distinguished Post-Doctoral Fellow for Bayesian methods in longitudinal health data analysis Accepting MSc/PhD students for 2023 Labs & Teams : His team focuses on statistical methodology development and clinical collaborations, with active projects in pediatric lung function (e.g., the CHILD Cohort Study) and chronic disease management.

Daniel Kasperمشاهده پروفایل

پژوهشگر

• Evaluation of Education Systems
• Primary School Research
• Educational Disparities
• +۴ مورد دیگر

Daniel Kasper is a researcher at the University of Hamburg's Faculty of Education, specializing in Educational Science with a focus on International Educational Monitoring and Reporting. He currently serves as the National Project Manager for TIMSS 2027, continuing his leadership role from previous TIMSS cycles (2023, 2019). His work centers on large-scale educational assessments, statistical methodology, and primary education research. Dr. Kasper completed his Habilitation in Educational Science with special consideration of empirical educational research at TU Dortmund (2012-2020), followed by his PhD in Educational Science at the same institution (2010-2012). He earned his Diploma in Educational Science from the University of Münster (2001-2007). His research interests span evaluation of education systems, primary school research, educational disparities, and advanced statistical methods in education. He has developed significant expertise in TIMSS methodology, multilevel modeling, and analysis of large-scale assessment data, with numerous publications addressing methodological challenges in international comparative studies. Analysis of his 15 most recent publications reveals a strong focus on TIMSS methodology and results, particularly regarding mathematics and science competencies in primary education. His work demonstrates expertise in statistical methodology for educational assessment, with several publications developing and refining analytical techniques for large-scale data. A recurring theme is examining educational disparities related to student composition, socioeconomic factors, and gender differences. Dr. Kasper has served as National Project Manager for multiple TIMSS cycles (2019, 2023, 2027) and has been involved in PIRLS studies, demonstrating sustained leadership in major international educational assessments. His work bridges methodological innovation with practical application in educational monitoring. He teaches courses across all academic levels, including 'Introduction to Empirical Research Methods' for Bachelor students, 'Methods of Empirical Educational Research' for Master students, and advanced workshops on longitudinal scaling and the Rasch model for doctoral candidates. His teaching reflects his dual expertise in educational research methodology and statistical analysis.

• Ultra-Low-Power Embedded Systems
• RFID and Backscatter Sensors
• Wireless Sensor Networks
• +۵ مورد دیگر

Spyridon Daskalakis is an Assistant Professor at Heriot-Watt University's School of Engineering & Physical Sciences, where he works within the Institute of Sensors, Signals & Systems. His research focuses on next-generation wireless communication systems and ultra-low-power embedded technologies. Dr. Daskalakis earned his Ph.D. from Heriot-Watt University's Microwaves and Antenna Engineering Group following undergraduate and master's studies at the Technical University of Crete's School of Electrical and Computer Engineering. Prior to his academic career, he served as a Senior Electromagnetic Compatibility Engineer at Cirrus Logic and contributed to satellite communications projects at Celestia UK. His research spans ultra-low-power embedded systems , RFID/backscatter sensors , RF energy harvesting , and low-cost wireless agricultural sensors . Current projects emphasize Bluetooth and cellular network integration, software-defined radios, and millimeter-wave communications for sustainable IoT applications that support UN Sustainable Development Goals related to affordable clean energy and responsible consumption. Dr. Daskalakis contributes to the Microwaves and Antenna Engineering Group, a globally recognized research unit specializing in physical-layer wireless systems. His work demonstrates significant impact through high citation rates, particularly in millimeter-wave backscatter communications and ambient RF energy harvesting technologies. He maintains an active professional presence through his personal website www.daskalakispiros.com and LinkedIn, while fostering student development through collaborative research projects focused on real-world wireless communication challenges.