Find Academic Supervisors

Narges ArastoueiView profile

Research Fellow

• Cybersecurity
• Network Security
• Wireless Communications
• +6 more

Dr. Narges Arastouei serves as a postdoctoral researcher at the Chair of Mobile Business & Multilateral Security, Goethe University Frankfurt since 2019. With over 12 years of industry experience including leadership of security operations at Iran's largest mobile provider (MCI), she specializes in cybersecurity for next-generation mobile networks and critical infrastructure protection. Her educational background includes: Ph.D. in Computer System Networking and Telecommunications from Amirkabir University of Technology (AUT), Tehran Research focuses on network security, 5G/6G communications, IoT security, and Security Operations Center (SOC) frameworks. Current work bridges theoretical networking with practical incident handling, emphasizing human factors in cybersecurity and privacy-preserving healthcare applications. Her projects address evolving threats in mobile ecosystems through both technical solutions and policy frameworks. Publication trends reveal progression from foundational work in opportunistic network routing (2013-2019) to cutting-edge 6G security research (2022-2025), with consistent emphasis on real-world implementation challenges. Key themes include risk-aware protocols, botnet detection, and secure healthcare systems. Scientific recognition includes: First-place doctoral student award She leads coordination of EU-funded CyberSec4Europe and CyberSecPro projects while spearheading human factor components in the ECCO initiative. Secured Goethe-Corona-Fonds grant funding for longitudinal study on Germany's Corona Warning App adoption. Hosts the SECMGT workshop on information security management since 2023. Active within Goethe University's security research ecosystem, she contributes to multilateral security frameworks and mentors junior researchers through student assistant programs.

Evangelia KalyvianakiView profile

Senior Lecturer

• Cloud Computing
• Big Data Processing
• Autonomic Computing
• +6 more

Evangelia (Eva) Kalyvianaki is a Senior Lecturer (equivalent to Associate Professor) in the Department of Computer Science and Technology at the University of Cambridge , where she is also a member of the Systems Research Group / netos group . Previously she held faculty positions as Lecturer at City University London and as post-doctoral researcher at Imperial College London. Education Ph.D. in Computer Science, Computer Laboratory (SRG/netos group), University of Cambridge M.Sc. in Computer Science, University of Crete, Greece B.Sc. in Computer Science, University of Crete, Greece Research Interests Her research spans the broad areas of Cloud Computing , Big Data Processing , Autonomic Computing , and Distributed Systems . A central theme is the design and management of next-generation, large-scale cloud applications, with an emphasis on applying mathematical reasoning—particularly control-theoretic techniques such as Kalman and H-infinity filtering—to address the complexity and uncertainty inherent in modern distributed infrastructures. Topics of active investigation include adaptive CPU and resource provisioning for virtualized servers, fairness and overload management in federated stream-processing systems, explicit state management for big-data frameworks, and distributed optimization algorithms for large-scale networked systems. Publications & Research Impact Across more than thirty peer-reviewed papers, her work demonstrates a consistent trajectory toward bridging rigorous control theory with practical systems challenges in the cloud. Signature contributions include the THEMIS framework for fair federated stream processing, dynamic block-sizing algorithms for data-stream engines, and robust resource-provisioning schemes based on advanced filtering techniques. Recent publications extend these ideas to fully distributed, finite-time coordination protocols that operate under quantized communications and time-varying delays, reflecting an expanding scope toward large-scale networked control systems. Scientific Awards No specific awards or fellowships are listed in the provided material. Advising & Funding While individual student names are not disclosed, her extensive publication record with numerous co-authors indicates active supervision of doctoral and master’s researchers. Funding acknowledgements in papers suggest support from UK research councils, EU projects, and industrial partnerships, although explicit grant details are not provided. Labs & Teams She is affiliated with the Systems Research Group (netos) within the Cambridge Computer Laboratory, a leading collective focused on networked and operating systems research, providing a collaborative environment for experimental cloud and distributed-systems work.

Atila AlvandpourView profile

Professor

• Integrated Circuits and Systems
• VLSI Design
• Analog and Mixed-Signal Circuits
• +6 more

Atila Alvandpour serves as Professor and Head of the Integrated Circuits and Systems Division at Linköping University's Department of Electrical Engineering (ISY), concurrently holding the position of Vice Head of the Department. He joined the university in 2003 following senior research scientist roles at Intel Corporation's Circuit Research Lab (1999-2003). His educational foundation includes M.S. and Ph.D. degrees earned from Linköping University in 1995 and 1999 respectively. Alvandpour's research centers on advanced nano-scale integrated circuit design , with pioneering work in data converters (ADCs/DACs) , RF transceivers , and ultra-low-power systems . His expertise spans sensor interfaces, energy-harvesting architectures, and multi-GHz digital circuits, driving innovations for IoT and biomedical applications through novel analog/mixed-signal techniques. Recent publications (2024-2025) reveal a strategic focus on system-level integration for emerging technologies, particularly energy-efficient SoCs for wireless optical sensing, RF energy harvesting, and bio-implantable devices. This trend emphasizes circuit miniaturization, power optimization, and multi-functional integration in cutting-edge CMOS processes. No formal scientific awards are documented in the source materials. As Division Head and active researcher with 24 U.S. patents, Alvandpour leads a significant research group within the Division of Electronics and Computer Engineering (ELDA). His IEEE senior membership and editorial roles for flagship journals like IEEE Journal of Solid-State Circuits demonstrate substantial professional influence, though specific grant details remain unspecified.

Xiaoguang DongView profile

Assistant Professor

• Medical Robotics
• Soft Robotics
• Swarm Robotics
• +4 more

Dr. Xiaoguang Dong is an Assistant Professor in the Department of Mechanical Engineering at Vanderbilt University , School of Engineering. He received his Ph.D. (2019) and M.S. (2016) from Carnegie Mellon University, and B.S. (2013) from Harbin Institute of Technology. His research focuses on miniature soft robotics , swarm robotics , and intelligent soft materials for biomedical, microfluidic, and biomechanical applications. Design of shape-morphing soft robots for minimally invasive medicine Development of magnetic microrobot swarms for cooperative tasks Integration of machine learning with mechanics for smart material design Recent publications highlight advancements in wireless medical robots for drug delivery, biofluid pumping, and tissue sensing, with works in Science Advances , Nature Communications , and PNAS . He has received significant recognition including the 2025 NSF CAREER Award and 2024 Med-X Young Investigator Award . 2022 Spring: Dynamics (ME 2190) 2023 Fall: Miniature Robotics 2014-2015: Teaching assistant at Carnegie Mellon University

Scott F. MidkiffView profile

Professor

• Networking
• Telecommunications
• Computer Engineering
• +4 more

Scott F. Midkiff is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. His research focuses on networking, telecommunications, and cybersecurity, with particular emphasis on 5G, O-RAN, edge cloud computing, and interference management in wireless networks. He holds a Ph.D. from Duke University (1985), an M.S.E.E. from Stanford University (1980), and a B.S.E. from Duke University (1979). Midkiff’s work spans theoretical and applied domains, including stochastic optimization for RAN intelligent controllers, network slicing, and wireless control plane design. He has contributed to advancements in interference alignment, MIMO systems, and secure spectrum sharing. His awards include the ORBIE Award and Capital CIO of the Year. Awards: ORBIE Award, Capital CIO of the Year Service: Member at Large, IEEE Committee on Engineering Accreditation Activities; ABET Program Evaluator His research group explores cutting-edge topics like software-defined cellular networks, distributed scheduling in underwater networks, and energy-efficient routing in sensor networks. Midkiff is affiliated with Virginia Tech’s research initiatives in pervasive computing and sustainable wireless systems.

Taylor BartonView profile

Associate Professor

• Electromagnetics
• RF Engineering
• Microwave Engineering
• +4 more

Taylor Barton is an Associate Professor and Lockheed Martin Faculty Fellow at the University of Colorado's Department of Electrical, Computer, and Energy Engineering. His research focuses on electromagnetics, RF/microwave engineering, and integrated circuits, with an emphasis on power amplifier design, GaN-based systems, and high-frequency electronics. He leads a lab conducting cutting-edge work in antenna integration, nonlinear circuit analysis, and energy-efficient RF solutions. His contributions include innovations in load modulation techniques, multi-band amplifier architectures, and superconducting frequency conversion. Barton's work intersects with applications in 5G communications, aerospace systems, and wireless power transfer. His research interests span RF power amplification, semiconductor device modeling, and high-efficiency transmitter design. Notable areas include GaN MMICs, outphasing architectures, and adaptive impedance matching networks. Recent projects explore kinetic inductance-based frequency conversion and compact charge digitizer systems for beam monitoring. Publications highlight advancements in wideband amplifiers, thermal sensor integration in GaN circuits, and novel methods for distortion reduction. His work frequently addresses trade-offs between power efficiency, bandwidth, and linearity in modern RF systems. Barton collaborates with industry partners like Lockheed Martin to bridge academic research with practical aerospace and defense applications. His lab website showcases ongoing projects in reconfigurable RF components and multi-functional microwave systems.

Francisco SantibanezView profile

Academic

• Biomedical Imaging
• Experimental Physics
• Instrumentation
• +5 more

Francisco Santibanez is a Research Assistant Professor in the Department of Biomedical Engineering at the University of North Carolina. He holds a Ph.D. in Physics from Universidad de Santiago de Chile (2010). His research focuses on experimental physics, biomedical imaging, and non-linear wave propagation in complex media. Since joining the Pinton Lab in 2018, he has investigated ultrasound super-resolution, functional imaging, and shear wave dynamics in soft tissues. His work spans advanced ultrasound techniques, including transcranial imaging, volumetric imaging, and real-time monitoring of neurovascular responses. Key projects include developing sparse ultrasound arrays and addressing image-degrading effects in clinical settings. His contributions extend to interdisciplinary areas like granular dynamics and acoustic sensing for pest control. Notable research trends include advancing super-resolution imaging capabilities and exploring shock wave behavior in biological tissues. His publications reflect expertise in medical imaging modalities, wave propagation modeling, and hardware innovations for diagnostic applications. Labs/Teams: Active member of the Pinton Lab, collaborating on biomedical engineering and medical imaging projects. His work emphasizes translational research with potential for clinical impact in neuroimaging and oncology monitoring.

• Energy Harvesting
• Vibration Energy Harvesting
• Wearable Electronics
• +3 more

Md Salauddin Rasel is a Research Fellow at the School of Engineering, University of Limerick. He holds a PhD in Energy Harvesting from Kwandong University (2019) and served as an Assistant Professor at East Delta University (2020–2023). His postdoctoral research (Dublin City University, 2023–2024) focuses on advanced energy systems. Research interests center on vibration energy harvesting, wearable electronics, and self-powered sensors. He explores electrospinning for nanomaterial fabrication, triboelectric nanogenerators, and IoT energy management. His work spans marine energy systems, optical fiber communication, and low-power electronics. Publications highlight innovations in ocean wave harvesting, wearable sensors, and energy-autonomous systems. Collaborations include teams in nanotechnology, renewable energy, and biomedical applications. Current projects emphasize real-world deployment of energy-autonomous devices and sustainable power solutions.

• Structural Health Monitoring
• Structural Control
• Stochastic Fatigue
• +4 more

B. F. Spencer Jr. is the Nathan M. and Anne M. Newmark Endowed Chair in Civil Engineering at the University of Illinois at Urbana-Champaign, where he directs the Multi-Axial Full-Scale Sub-Structured Testing & Simulation Facility and the Smart Structures Technology Laboratory. He joined the university in 2002 after serving as Leo E. and Patti Ruth Linbeck Professor of Engineering at the University of Notre Dame (1985-2002). Education includes: Ph.D. in Theoretical and Applied Mechanics, University of Illinois at Urbana-Champaign (1985) M.S. in Theoretical and Applied Mechanics, University of Illinois at Urbana-Champaign (1983) B.S. in Mechanical Engineering, University of Missouri-Rolla (1981) His research focuses on pioneering innovations in structural health monitoring, stochastic mechanics, and smart sensor technologies. Key areas include development of wireless sensor networks for real-time infrastructure assessment, seismic hazard mitigation strategies, and AI-driven damage detection systems. His work bridges theoretical computational mechanics with practical civil engineering applications to enhance resilience against natural disasters. Recent publications emphasize digital twins, UAV-based structural inspection, machine learning for damage identification, and advanced sensor networks. Trends show strong integration of AI, 3D visualization, and edge computing for rapid post-disaster evaluation and predictive maintenance of critical infrastructure. Major scientific honors: ASCE Housner Medal (2015) J.M. Ko Medal (2014) Foreign Member of Polish Academy of Sciences (2005) Structural Health Monitoring Person of the Year (2011) JSPS Fellowships (1999, 2000) He leads significant infrastructure projects including NSF-funded facilities and industry collaborations. Laboratory initiatives involve full-scale testing of bridges, gates, and seismic mitigation systems. Educational outreach includes K-12 STEM programs like 'Shakes and Quakes' to inspire future engineers.

Piya PalView profile

Professor

• High Dimensional Statistical Signal Processing
• Compressive Sensing
• Tensor Methods
• +4 more

Prof. Piya Pal is a Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego. Her research focuses on high-dimensional statistical signal processing, energy-efficient sampling techniques, and covariance-driven inference. She previously held an Assistant Professor position at the University of Maryland, College Park, and was affiliated with the Institute for Systems Research. Education: Ph.D. in Electrical Engineering from California Institute of Technology (2013). Notable achievements include the NSF CAREER Award (2016) and the 2014 Charles and Ellen Wilts Prize for her thesis on sparse sampling and estimation. Her work emphasizes structured sampling and robust algorithms for undersampled data analysis, with applications in sensor arrays, compressive sensing, and optical imaging. Research Interests: Energy-efficient sparse array design Correlation-aware sparse estimation Covariance compression and statistical inference Tensor methods in machine learning High-resolution imaging systems Publications highlight advancements in sparse array geometries (nested/coprime samplers), Cramér-Rao bound analysis, and hybrid beamforming. Recent work explores super-resolution imaging and millimeter-wave channel sensing with learned empirical priors. Her contributions address fundamental trade-offs between sample size, resolution, and domain knowledge integration. Scientific Awards: NSF CAREER Award (2016) 2014 Charles and Ellen Wilts Prize (Caltech) Advising & Grants: Current research is supported by NSF CAREER funding. Her lab focuses on interdisciplinary projects combining signal processing with medical imaging and wireless communication challenges.

Yaguang ZhangView profile

Assistant Clinical Professor

• Data Science
• Digital Agriculture
• UAV-Aided Wireless Communication Systems
• +4 more

Dr. Yaguang Zhang is a Clinical Assistant Professor at Purdue University, jointly appointed in the Department of Agricultural & Biological Engineering (ABE) and the Department of Agricultural Sciences Education & Communication (ASEC) . Holding a Ph.D. in Electrical and Computer Engineering from Purdue (2021), he specializes in data science , digital agriculture , and UAV-aided wireless communication systems , with applications in intelligent transportation, proactive road maintenance, and engineering education. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering (Purdue), B.Eng. in Communication Engineering (Tianjin University) Research Interests span cutting-edge domains including: Digital Agriculture: GPS-based field shape generation, product traceability trees, and automated metadata collection for agricultural operations Wireless Communication: Millimeter-wave channel modeling, UAV relay systems, and rural network coverage optimization Smart Infrastructure: Pavement condition assessment tools, sun-shadow simulation for road treatment, and vehicle automation platforms Recent Publications emphasize scalable solutions for agricultural IoT, machine learning in crop monitoring, and interoperable data frameworks. His scientific awards include: 2024 Outstanding Engineering Teacher (Purdue) 2024 ASABE Superior Paper Award 2020 FFAR Student Poster First Prize Multiple NSF/IEEE travel supports Grants from USDA, NSF, INDOT, and industry partners (CableLabs, Nokia) fund projects like tractor autopilot development, rural 6G networks, and pavement monitoring systems. He mentors graduate students in agricultural robotics , data science , and connected vehicle research .

Neil BergmannView profile

Professor

• Wireless Sensor Networks
• Internet of Things (IoT)
• Embedded Systems
• +6 more

Neil Bergmann is an Honorary Professor at the School of Electrical Engineering & Computer Science, University of Queensland. His research focuses on wireless sensor networks, IoT, embedded systems, and machine learning with applications in cybersecurity, energy efficiency, and industrial monitoring. He has contributed extensively to fields like cryptographic acceleration, localization systems, and sensor network optimization. His work bridges hardware-software co-design and practical implementations in domains such as healthcare and industrial automation. His academic career includes significant contributions to journals and conferences, with a focus on advancing technologies like energy harvesting, real-time data processing, and secure communication protocols. Collaborations span academia and industry, addressing challenges in sensor networks, embedded systems, and smart environments. Notable research includes energy-efficient machine fault diagnosis using industrial wireless sensor networks and secure authentication systems leveraging kinetic energy harvesting. His publications highlight interdisciplinary approaches to solving complex technical problems, emphasizing practical applicability and innovation.

Kimberlee KearfottView profile

Professor

• Radiation Protection
• Nuclear Medicine
• Medical Physics
• +3 more

Kimberlee Kearfott, Sc.D., is a Professor in the Department of Nuclear Engineering and Radiological Sciences at the University of Michigan. Her primary affiliation is with the College of Engineering, and she holds an additional role as Affiliate Faculty in Biomedical Engineering (BME). Her research focuses on radiation protection, nuclear medicine, medical physics, and biomedical imaging. Key areas include radon gas dynamics, dosimetry techniques, environmental radiation monitoring, and the development of radiation-aware technologies like drones and weather stations. Her work spans theoretical and applied domains, including algorithm development for anomaly detection in radon time series data, advanced imaging systems, and radiation source mapping. She has contributed to the design of cost-effective radiation measurement instruments and systems for real-time environmental monitoring. Notable projects include the creation of an Intelligent Radiation Awareness Drone and a Low-cost Radiation Weather Station. Dr. Kearfott’s expertise also extends to radiation safety protocols, quality control in dosimetry calibration, and the application of machine learning to thermoluminescent dosimeter analysis. Her research has addressed critical issues such as earthquake prediction through radon gas analysis and sterilization techniques for SARS-CoV-2-contaminated equipment. Her laboratory focuses on interdisciplinary projects at the intersection of nuclear engineering, biomedical sciences, and environmental science. Collaborations involve both academic and industrial partners, emphasizing practical solutions for radiation-related challenges in healthcare, environmental safety, and homeland security.

• Materials Science
• Composite Materials
• Metals
• +3 more

António Manuel de Bastos Pereira is a Full Professor at the Department of Mechanical Engineering, University of Aveiro, Portugal. He has held significant leadership roles including Director of the Master's program in Welding Engineering and Director of the Research Unit Centre for Mechanical Technology and Automation (TEMA) from 2015 to 2024. Under his leadership, TEMA was classified with the highest rating by FCT and included in the European network of Key Enabling Technologies institutions. Dr. Pereira's research focuses on materials science, particularly the study of materials from composites to metals. His work spans advanced manufacturing technologies, surface engineering, and mechanical characterization of materials. He has published 97 articles in SCI journals with 2140 citations and an h-index of 29 (Scopus), demonstrating significant impact in his field. His research has led to the development of over 500 industrial projects worth approximately 100 million euros. His recent publications reveal consistent research trends in materials characterization, advanced manufacturing processes, and sustainable engineering solutions. Key themes include laser processing of materials, welding technologies, composite materials, surface treatments, and thermal engineering applications. His work often combines experimental and numerical approaches to solve practical engineering challenges, with growing emphasis on sustainable manufacturing methods and energy efficiency. Dr. Pereira has supervised numerous graduate students across various mechanical engineering topics, particularly in welding, materials processing, and mechanical design. He has been Principal Investigator for 39 scientific research projects and collaborated in 68 projects total, securing significant research funding. His project portfolio includes national and European initiatives focused on sustainable manufacturing, advanced materials, and innovative industrial processes. As Director of TEMA, he coordinated over 100 researchers within the Research Unit Centre for Mechanical Technology and Automation. TEMA is included in the "Portuguese Roadmap of Research Infrastructures of Strategic Relevance" and was selected to be part of the European network of institutions relevant within Key Enabling Technologies (KETs). Dr. Pereira also coordinated the thematic line "Innovative and Sustainable Industries" of LASI, Portugal's largest associated laboratory with around 500 PhD researchers. His leadership has positioned these research units as key players in technology transfer to small and medium enterprises across Portugal.

Chunming QiaoView profile

Professor

• Cyber-Physical Systems
• Optical Networks
• Wireless Networks
• +6 more

Dr. Chunming Qiao is a SUNY Distinguished Professor and Chair of the Department of Computer Science and Engineering at the University at Buffalo (SUNY) , leading the Lab for Advanced Network Design, Evaluation and Research (LANDR) since 1993. His work spans cyber-physical systems , optical networks , and Internet of Things (IoT) , with a focus on safety, reliability, and protocol design. Education: PhD in Computer Science from the University of Pittsburgh (1993) BS in Computer Science and Engineering from the University of Science and Technology of China (1985) Dr. Qiao’s research interests combine theoretical and applied network design, including autonomous vehicles , quantum computing , and cloud services . He pioneered optical burst switching (OBS) and iCAR systems for wireless convergence, cited in BusinessWeek and Wireless Europe . His recent publications emphasize quantum networking , federated learning , and autonomous driving security , with projects on entanglement routing , edge inference optimization , and LiDAR adversarial attacks . Articles span IEEE and ACM venues , and include best paper awards . Scientific Awards: TC-CSR Distinguished Technical Achievement Award (2015) SUNY Chancellor's Award for Excellence (2013) IEEE Fellow (2009) UB Exceptional Scholar-Sustained Achievement Award (2005) Dr. Qiao has secured over two dozen NSF grants and collaborations with Google , Cisco , and NEC Labs . His 7 US patents and consulting experience highlight his industry impact, while his editorial roles and conference leadership underscore academic influence. He actively contributes to multi-disciplinary research through the New York State Center of Excellence in Bioinformatics and Life Sciences and CEDAR , advancing high-performance computing and document analysis .