Tijana Dimitrijevic is an Assistant Professor at the Faculty of Electronics, University of Niš, and the Faculty of Engineering Sciences, University of Kragujevac, Serbia. She holds a PhD in Electrical and Computer Engineering with a specialization in Telecommunications, awarded in 2015 from the University of Niš. Since December 2023, she has been serving in a part-time capacity, with 70% appointment at the University of Niš and 30% at the University of Kragujevac. Education: PhD, Electrical and Computer Engineering (Telecommunications), Faculty of Electronics, University of Niš, 2015 Master of Science, Telecommunications, Faculty of Electronics, University of Niš, 2007 Bachelor of Science, Telecommunications, Faculty of Electronics, University of Niš, 2003 Her research centers on computational electromagnetics, particularly the development and application of the Cylindrical Transmission Line Matrix (TLM) method for modeling antennas and electromagnetic structures. Her work spans conformal antennas, on-body communication systems, near-field probes, and cavity resonators. She has made significant contributions to the accurate and efficient simulation of complex microwave components. The analysis of her recent publications reveals a consistent focus on advancing the Cylindrical TLM method for practical antenna design and electromagnetic compatibility applications. Her work bridges theoretical modeling with experimental validation, particularly in wireless and biomedical contexts. Professional Affiliations and Activities: Member, IEEE MTT-S Member, IEEE AP-S Member, IEEE Women in Engineering – Serbia and Montenegro Secretary, Association for Microwave Techniques, Technologies and Systems (MTT Serbia) Member, Organizing Committee, TELSIKS and ICEST Conferences Tijana Dimitrijevic has been involved in one national and one international research project. She served as a postdoctoral fellow at the University of Nottingham, UK, from 2019 to 2021. She advises no students listed in the provided text but is actively engaged in research collaboration and scientific dissemination. She leads computational modeling efforts within her research group, contributing to antenna design and electromagnetic simulation projects, often in collaboration with international partners.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۱۶-۲۲ از ۲۲ استاد راهنما
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David Greavesمشاهده پروفایل
مدرس ارشد
David Greaves serves as a University Senior Lecturer in the Department of Computer Science and Technology at the University of Cambridge, where he conducts research and teaches undergraduate courses including Databases (Part IA) and Programming in C and C++ (Part IB). His academic work focuses on bridging hardware and software systems through innovative compilation techniques and architectural design. His research spans computer architecture, programming languages, semantics and verification, and systems and networking, with particular emphasis on hardware-software co-design, memory safety mechanisms, and FPGA-based acceleration. Greaves has developed specialized compiler frameworks like Kiwi for translating high-level programs into hardware implementations, and created security models such as FRAMER for capability-based memory protection. Analysis of his recent publications reveals a consistent focus on compiler infrastructure for hardware acceleration, with significant contributions to Bluespec Verilog compilation, dataflow intermediate representations, and cache-friendly security models. His work demonstrates strong interdisciplinary connections between formal methods, hardware design, and systems security, often targeting practical implementations in FPGA environments. Greaves maintains active involvement in hardware description language development and power analysis tools, as evidenced by his contributions to TLM Power and other electronic design automation frameworks. His research approach consistently emphasizes practical toolchain development alongside theoretical foundations.
- Community Ecology
- Conservation Biology
- Biodiversity
- +۱۲ مورد دیگر
Professor David M Watson is a leading ecologist at Charles Sturt University, affiliated with the School of Agricultural, Environmental and Veterinary Sciences and the Gulbali Research Institute. He holds a PhD in Ecology from the University of Kansas and a BSc (Hons) from Monash University. His work focuses on biodiversity conservation, habitat fragmentation, and the ecology of parasitic plants, especially mistletoe, with a strong emphasis on birds and field-based research. BSc (Hons) in Science, Monash University (1994) PhD in Ecology, University of Kansas (1999) David Watson's research centers on managing biodiversity in agricultural landscapes, the impacts of habitat fragmentation, and the ecological roles of parasitic plants. He is renowned for demonstrating that mistletoe acts as a keystone resource, boosting productivity and supporting diverse animal communities. His work integrates community-scale field studies with species-specific analyses, primarily in Australia and Latin America. He has developed novel bird survey methods and acoustic monitoring techniques, contributing to the establishment of the Australian Acoustic Observatory. His recent publications reflect a strong trend in conservation technology, particularly acoustic monitoring of elusive species like the Australasian Bittern, and the use of expert elicitation to guide urban wildlife connectivity. His research bridges science and practical conservation, with applications in private land management, national parks, and regional planning. Scientific awards and grants received include: Eavesdropping on wetland birds (2020) Investigating habitat preference of Lewin's Rail (2012) TLM-Intervention Monitoring for bitterns (2021) What's in the Wetland (2016) David Watson actively supervises Honours, Masters, and PhD students, co-designing research projects in areas such as mistletoe ecology, arid zone bird dynamics, and mammal reintroductions. He has led major research grants focused on wetland bird ecology and conservation technology. His collaborative network spans universities, government agencies, NGOs like BirdLife Australia, and regional natural resource management bodies. He is a founding member of the Slopes to Summit partnership and the Wirraminna Environmental Education Centre, and chairs the research committee for his school. He also serves on the steering committee of the Australasian Ornithological Conference and has contributed to policy through the NSW Threatened Species Scientific Committee and advocacy for feral horse control.
Martin Radetzki is a full Professor at the Institute for Computer Architecture and Parallel Systems (University of Stuttgart) , specializing in Embedded Systems . His work focuses on network-on-chip (NoC) design, fault tolerance, memory optimization, and simulation frameworks. Key research areas: NoC synthesis, deadlock-free routing, performability analysis, and power-efficient memory subsystems Recent publications emphasize integer linear programming frameworks for co-designing floorplanning and routing, chiplet-based systems , and machine learning-enabled performance evaluation His methodologies address cross-layer challenges in NoC design, combining formal optimization with practical implementation for heterogeneous processing elements. Collaborative projects include fault resilience analysis, parallel simulation techniques, and memory allocation strategies for SoCs. Dr. Radetzki supervises research with students like Shuang Liu and Manuel Strobel , contributing to IEEE Transactions on Computers , ACM TECS , and conferences such as DATE and MCSoC . Current work explores optimal routing topologies for emerging chip architectures.
Alan Kennedyمشاهده پروفایل
استادیار
- Electronic Drums
- Interface Design
- Pad Design
- +۲ مورد دیگر
Alan Kennedy is an Assistant Professor in the School of Mechanical & Manufacturing Engineering at Dublin City University. His research centers on electronic percussion systems, including pad design, electronic drum module development, signal processing algorithms, and human-computer interface optimization. He investigates sensor technologies for responsive musical interfaces and software architectures for real-time sound synthesis. His publications focus on computational methods for engineering problems, particularly convection-diffusion modeling using electrical analogues, which bridge mechanical engineering and computational mathematics.
Prof. Dr. Susanne Hetterich is a faculty member at Heilbronn University, serving in the Faculty of Economics within the Department of Business Engineering Logistics / Technical Logistics Management. She currently holds the position of Dean of Studies for the Technical Logistics Management (TLM) program, where she plays a key role in academic leadership and curriculum development. Her research and teaching focus on applied business engineering, particularly in logistics and innovation. Key areas include: Change Management in logistics operations Data analytics and AI fundamentals in business contexts Lean and Six Sigma methodologies for operational efficiency Her work emphasizes practical, industry-integrated learning, such as the TLM program's eight-day methods workshop and semester-long company collaborations. She is certified as a Six Sigma Black Belt and Lean Master, highlighting her expertise in process optimization. Six Sigma Black Belt Lean Master Prof. Hetterich advises on academic projects and leads initiatives that bridge education and industry needs, particularly in technical logistics. While specific grants are not listed, her work involves applied research and innovation projects with corporate partners. She is based at the Education Campus, office S.3.35, Max-Planck-Str. 39, 74081 Heilbronn, and her office hours are by appointment.
Александар С. Атанасковић is an Assistant Professor at the Department of Telecommunications, Faculty of Electronic Engineering, University of Niš, Serbia, appointed in 2018 after completing his doctorate at the same institution. His academic affiliation spans all educational levels at the university, from undergraduate to doctoral studies. His educational background includes: Doctorate in Telecommunications (2015) Master's Degree in Telecommunications (2004) Bachelor's Degree in Electronics and Telecommunications (1997) His research integrates advanced electromagnetic theory and signal processing with modern computational techniques. Key focus areas include: Computational modeling of conformal and on-body antennas using cylindrical TLM methods Digital linearization techniques for RF power amplifiers, particularly Doherty architectures Deep learning applications in sensor systems for security and safety His work bridges theoretical electromagnetics with practical communication hardware design, emphasizing efficiency and linearity improvements. Analysis of his 10 journal publications (2013-2023) reveals an evolving research trajectory: early work concentrated on RF amplifier linearization through harmonic manipulation, while recent publications (2020-2023) demonstrate increased focus on computational antenna modeling and machine learning applications. The consistent thread is optimizing wireless communication hardware performance through innovative signal processing and electromagnetic simulation techniques. Scientific Awards: No awards listed in source material. Research funding includes active participation in one national and two international projects. While no formal advisees are documented, his faculty position inherently involves graduate student supervision within the Department of Telecommunications' academic programs. His laboratory work appears centered within the Faculty of Electronic Engineering's antenna and RF research facilities, likely collaborating with the Microwave and Antenna Laboratory group on computational electromagnetics projects involving cylindrical TLM approaches and wearable antenna systems.