جست‌وجوی استاد و پژوهشگر

Werner Henkelمشاهده پروفایل

استاد

• Physical-layer security
• Source and channel coding
• Multi-carrier modulation
• +۷ مورد دیگر

Prof. Werner Henkel is a Professor of Electrical Engineering at Jacobs University Bremen. He holds a Dr.-Ing. (Ph.D.) from Technische Universität Darmstadt (1989), with research focused on coding theory, communications, and signal processing. His roles include chairing the Electrical and Computer Engineering (ECE) program and serving as Dean for Engineering and Mathematical Sciences (2012–2014). Affiliations: Jacobs University Bremen: School of Engineering and Science Constructor University Bremen (prior affiliation) Education: Ph.D. (Dr.-Ing.) in Electrical Engineering, TU Darmstadt (1989) Diploma in Electrical Engineering, TU Darmstadt (1984) Research Interests: Prof. Henkel’s work spans physical-layer security , LDPC codes , neural networks , impulse noise treatment , and DNA analysis . His recent focus includes secure key generation in FDD systems, joint source-channel coding, and applications in IoT and power-line communications. He has contributed to DSL standardization and industrial projects in satellite communication and cybersecurity. Grants & Projects: Research on impulse noise mitigation in wireless/wireline channels Collaborations with industry on satellite communication and PLC systems Labs & Teams: Active in multidisciplinary teams at Jacobs University, focusing on communications, coding, and bioinformatics.

Thomas Leeمشاهده پروفایل

استاد

• Analog Circuit Design
• RF Integrated Circuits
• CMOS Technology
• +۴ مورد دیگر

Thomas Lee is a Professor of Electrical Engineering at Stanford University, affiliated with the Stanford SystemX Alliance. He holds a ScD from MIT (1990). His research focuses on analog circuit design, RF integrated circuits, and terahertz electronics. He teaches advanced courses such as Advanced Circuit Techniques and High-Frequency Circuit Design Laboratory . Education: ScD in Electrical Engineering, MIT, 1990 Professional Appointments: Professor at Stanford University Key Roles: Faculty Lead in CMOS RF Integrated Circuits, Terahertz Systems, and Bioelectronics His research spans CMOS RF design, low-power circuits, and biomedical sensors. Notable contributions include work on superregenerative receivers, wireless power transfer, and capacitive micromachined ultrasonic transducers (CMUTs). He advises numerous PhD and master's students and collaborates on projects like the Stanford Microwave Integrated Circuits Lab (SMIRC). Publications emphasize cutting-edge topics like quantum computing gate emulation, low-energy signaling, and terahertz systems. Awards and recognitions are not explicitly listed in the provided text.

Borivoje Nikolicمشاهده پروفایل

استاد

• Integrated Circuits (VLSI)
• Computer Architecture
• Signal Processing
• +۳ مورد دیگر

Borivoje Nikolic is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He holds a Ph.D. from UC Davis (1999) and academic degrees from the University of Belgrade (Dipl.Ing. 1992, M.Sc. 1994). His research focuses on integrated circuits, VLSI design, and energy-efficient electronics, with contributions to analog/digital circuit design, signal processing algorithms, and wireless communication systems. Notable roles include Technical Program Chair for the 2022 Symposium on VLSI Technology and Circuits, and General Chair for the 2024 IEEE Symposium on VLSI Technology and Circuits. He was an IEEE Distinguished Lecturer (2014–2015). His work has led to over 100 publications in top-tier venues like ISSCC, IEEE Journal of Solid-State Circuits, and IEEE Transactions on Circuits and Systems. Research interests span: VLSI Design Automation and Generators Low-Power and Energy-Efficient Circuits Wireless Communication Systems and MIMO Architectures Robotics and Heterogeneous SoC Design His publications highlight innovations in clock generators, data converters, and hardware-software co-design for AI/ML acceleration. Awards include the NSF CAREER Award (2003), IEEE Fellow (2017), and the 2024 SSCS Innovative Education Award.

Anteneh Girmaمشاهده پروفایل

استاد

• AI-driven Cybersecurity
• IoT Security
• Cryptography
• +۷ مورد دیگر

Dr. Anteneh Girma is a Professor and Cybersecurity Program Director at the University of the District of Columbia (UDC), leading the School of Engineering and Applied Sciences' Computer Science and Information Technology department. He has held academic roles at UDC since 2019, previously serving as Associate Professor and now full Professor, while concurrently holding adjunct positions at institutions like the University of Maryland and Montgomery College. Dr. Girma earned his Ph.D. in Computer Science/Cybersecurity from Howard University (Magna Cum Laud). Educational Background: Ph.D. in Computer Science/Cybersecurity, Howard University Research Interests: AI-driven cybersecurity solutions for IoT, cloud, and edge computing environments Machine learning for threat detection (e.g., malware, DDoS, insider threats) Cryptography and authentication mechanisms Cybersecurity policy and workforce development Grants & Impact: National Science Foundation grant for cybersecurity workforce development Department of Defense-funded machine learning research NSA support for establishing UDC as a Center of Academic Excellence in Cybersecurity Awards & Leadership: 2024 Leadership Award from UDC’s School of Engineering Founder of UDC’s Cybersecurity Program (launching in Fall 2025) Best Research Paper Award (2015) and international cybersecurity recognitions Teaching & Mentorship: Teaches advanced courses in cybersecurity governance, IoT security, and cryptography Mentors Ph.D. and M.S. students in cybersecurity research Key Contributions: Developed hybrid models for DDoS detection in cloud environments Advocated for blockchain-based election security systems Published over 30 peer-reviewed articles on cybersecurity topics

Robert Howell Goldsteinمشاهده پروفایل

استاد

• Carbonate Sedimentology
• Stratigraphy
• Diagenesis
• +۴ مورد دیگر

Robert Howell Goldstein is the Haas Distinguished Professor at the University of Kansas’s Department of Geology. His research focuses on carbonate sedimentology, sequence stratigraphy, and diagenetic processes, with emphasis on reservoir quality prediction and fluid flow dynamics. Current projects include analyzing Miocene Spanish carbonates, Saudi Arabian Aruma Formation reservoirs, and fluid inclusion techniques for paleoenvironmental reconstruction. Goldstein’s work bridges geology and petroleum engineering, addressing challenges in unconventional energy resources and reservoir analog modeling. He employs advanced methods like Raman spectroscopy and geostatistical simulations to study porosity preservation, fracture networks, and microbial influences on dolomite formation. His interdisciplinary approach integrates field data, laboratory analyses, and computational models to enhance understanding of hydrocarbon reservoirs and groundwater systems. Scientific contributions include pioneering studies on ascending freshwater-mesohaline mixing dolomitization and the role of microbial surfaces in low-temperature dolomite precipitation. His group actively explores the Midcontinent’s hydrothermal fluid flow history and its impact on reservoir properties, contributing to both academic and industrial applications in energy exploration. Key Research Themes: Carbonate diagenesis and reservoir quality Fluid flow pathways and fracture mechanics Sequence stratigraphy and paleoclimatology Geophysical characterization of heterogeneous reservoirs Goldstein has advised numerous graduate students on projects ranging from Permian reservoirs in Kansas to Cretaceous carbonates in Saudi Arabia. His work has been recognized through the Haas Distinguished Professorship and extensive industry collaborations.

Sebastian Hoerningمشاهده پروفایل

پژوهشگر ارشد

• Geostatistics
• Stochastic Modeling
• Copula-based Non-linear Geostatistics
• +۵ مورد دیگر

Dr. Sebastian Hoerning is a Research Fellow at The University of Queensland's Gas & Energy Transition Research Centre within the Faculty of Engineering, Architecture and Information Technology. His work focuses on advanced geostatistical methods for energy transition and environmental applications. His educational background includes: Bachelor of Science from Universität Stuttgart Masters (Coursework) of Science from Universität Stuttgart Doctor of Philosophy from Universität Stuttgart Dr. Hoerning's research centers on geostatistics and stochastic modeling with applications in underground hydrogen storage, fugitive methane emissions, and reservoir characterization. His innovative work on copula-based non-linear geostatistics addresses directional asymmetry in spatial fields, providing more accurate representations of geological formations. He develops computational methods that bridge theoretical statistics with practical energy challenges, particularly relevant to Australia's energy transition. His recent publications demonstrate a clear focus on critical energy transition issues, with particular emphasis on underground hydrogen storage , fugitive methane monitoring , and advanced computational geostatistics . These works show progression from fundamental methodological developments to applied solutions for real-world energy challenges. Dr. Hoerning has secured significant research funding including: Novel statistical estimation of fugitive methane emissions using drones (Advance Queensland Industry Research Fellowships, 2022-2024) New Stratigraphy and Geostatistics for Gas and Water Resources (ARC Linkage Projects, 2020-2023) Impact of Geostatistical Techniques on Technically Recoverable Resources (Australian Energy Resource Growth Centre Ltd, 2018-2021) He actively supervises PhD students, serving as Principal Advisor for research on hydrogen storage repurposing of gas fields and Associate Advisor for waveform inversion techniques. His development of computational tools like RMWSPy enables spatial simulation for environmental applications, supporting both academic research and industry practice.

Sem Borstمشاهده پروفایل

استاد

• Stochastic Networks
• Performance Evaluation
• Resource Allocation Algorithms
• +۶ مورد دیگر

Dr. Sem Borst is a Full Professor in Stochastic Operations Research at the Department of Mathematics and Computer Science, Eindhoven University of Technology (TU/e), holding this position since 1998. He maintains a part-time affiliation with Bell Labs' Mathematics of Networks and Systems research department since 1995. His academic background includes an MSc in Applied Mathematics (University of Twente, 1990) and a PhD (Tilburg University, 1994), with visiting appointments at Cambridge University's Statistical Laboratory (1994). Education: MSc (University Twente), PhD (Tilburg University) Affiliations: TU/e (1998-present), Bell Labs (1995-present) His research focuses on theoretical and algorithmic aspects of large-scale stochastic networks, particularly how local interactions influence macroscopic behavior. This work provides critical insights for designing low-complexity, distributed resource allocation algorithms that achieve near-optimal global performance. Key application domains include communication networks, call centers, and content distribution systems. Publication trends reveal consistent contributions to network optimization through: (1) distributed resource allocation algorithms, (2) wireless/wireline network performance modeling, (3) caching strategies for content delivery networks, and (4) stochastic stability analysis in dynamic environments. His methodological framework integrates Markov Random Fields, Gibbs Measures, and Processor-Sharing models. Academic roles include editorial board memberships at IEEE/ACM Transactions on Networking , Mathematical Methods of Operations Research , and Queueing Systems . Teaching activities at TU/e cover graduate courses in Queueing Systems, Stochastic Processes, and Risk/Reliability Analysis.

Parmesh Ramanathanمشاهده پروفایل

استاد

• Wireless Networks
• Wireline Networks
• Mobile Computing
• +۹ مورد دیگر

Professor Parmesh Ramanathan is a faculty member in the Department of Electrical & Computer Engineering at the University of Wisconsin-Madison. His research focuses on wireless and wireline networks, mobile computing, real-time systems, and genomic networks. He collaborates with experts in biochemistry, chemistry, and engineering to develop computational tools for genome-aided biodesign and metabolic pathway optimization. His recent work includes advancements in millimeter-wave communication, privacy-preserving genomic data processing, and fault-tolerant computing. Education: PhD (1989), MS (1986) from University of Michigan; B.Tech (1984) from Indian Institute of Technology. Research interests span network architectures, quality of service (QoS), and interdisciplinary projects in bioengineering. He has received prestigious awards such as the Vilas Distinguished Achievement Professorship (2017) and IEEE Fellow (2023). His publications highlight contributions to millimeter-wave networks, genomic data privacy, and machine learning in metabolic engineering. He teaches courses like Real-Time Computing Systems and supervises master’s and doctoral research.

Stephan Bohacekمشاهده پروفایل

دانشیار

• Enterprise Computing
• Networking
• Cloud Computing
• +۶ مورد دیگر

Stephan Bohacek is an Associate Professor at the University of Delaware, focusing on enterprise computing and networking. His research emphasizes performance modeling, analysis, and prediction across cloud computing environments and mobile ad hoc wireless networks (MANETs). He investigates trade-offs between cost and performance in cloud-based applications, including databases, web services, and big data systems like Hadoop. In networking, he studies mobility challenges in MANETs and protocol design for wireline networks (e.g., TCP, routing). His methodologies combine theoretical approaches (optimization, probability) with hands-on development (kernel hacking). Research data comes from live experiments and industry collaborations. Prof. Bohacek's work is characterized by rigorous mathematical analysis in his publications. No scientific awards or grants are explicitly mentioned in the provided text. His office is located in Evans 306, and he can be reached via bohacek@udel.edu.

• Electrical Engineering
• Communication Systems
• Microwave Engineering
• +۵ مورد دیگر

Marcel Joss is a Lecturer at the Institute of Electrical Engineering (IET) within the Lucerne School of Engineering and Architecture at Hochschule Luzern, Technik & Architektur. He has held this position since 2003 and previously served as the Head of the Electrical Engineering Department (2005–2010) and project leader for Bologna reform implementation (2003–2005). His expertise spans telecommunications, microwave engineering, and autonomous systems. Education 1983–86: Diploma in Electrical Engineering, HTL Brugg/Windisch 1989–92: Advanced Diploma in System Technology, Neu-Technikum Buchs SG 1995–96: Master of Science in Communication Networks, EPF Lausanne 2000: International Executive Program (INSEAD) Research Interests Dr. Joss focuses on microwave engineering, satellite communication, wireless power transfer, and autonomous systems. His work includes projects like the CHESS CubeSat mission for atmospheric research, microwave-based medical monitoring, and innovative data communication solutions for cableway systems. He actively explores applications in industrial automation, sensor networks, and energy-efficient systems. Key Projects Satellite Tracking with Radio Detection Wireless Power Transmission at Millimeter Waves CHESS CubeSat Atmospheric Dynamics Measurement Multiband Sensor Networks (MBSnet) Professional Contributions Joss has led Swisscom Mobile AG teams in network development and technology integration. He is also a member of the Amateur Radio Club at HSLU, promoting hands-on technical education. His presentations on 5G technology, antenna design, and railway communication highlight his dual focus on academic and industrial innovation.

Giovanni Steaمشاهده پروفایل

دانشیار

• Quality of Service
• Wireless Networks
• Network Calculus
• +۳ مورد دیگر

Giovanni Stea is an Associate Professor at the Department of Information Engineering within the College of Engineering at the University of Pisa. His research focuses on Quality of Service, resource allocation in wireline and wireless networks, performance evaluation through simulation and analytical techniques, and traffic engineering. Dr. Stea's research spans network calculus, wireless systems, and telecommunications infrastructure. His recent work demonstrates strong emphasis on 5G/6G networks, AI integration in telecommunications, and optimization of network performance. Key trends include: Advancements in network calculus methodologies Innovations in mobile edge computing applications Development of trustworthy AI systems for next-generation networks Cross-disciplinary approaches combining telecommunications and machine learning His publications consistently address computational efficiency in network analysis and practical implementations of theoretical models in real-world telecommunications environments.