Find Academic Supervisors

Paul GroganView profile

Associate Professor

• Engineering Design
• Systems Engineering
• Strategic Engineering
• +6 more

Paul Grogan is an Associate Professor at Arizona State University (ASU) within the School of Computing and Augmented Intelligence, part of the Fulton Schools of Engineering. He has held previous academic positions at Stevens Institute of Technology and completed postdoctoral research at MIT. His expertise spans strategic engineering, collaborative systems design, and Earth-observing space missions. Grogan leads research on distributed and decentralized systems, focusing on applications in space exploration, terrestrial infrastructure, and resource management. His work integrates design science, economics, and information science to improve cross-organizational collaboration in engineering design. Education: Ph.D. Engineering Systems, Massachusetts Institute of Technology (2014) S.M. Aeronautics and Astronautics, MIT (2010) B.S. Engineering Mechanics, University of Wisconsin-Madison (2008) Research Interests: Grogan’s research emphasizes design theory , collaborative engineering , and modeling/simulation . His team develops frameworks for analyzing distributed systems, such as satellite constellations and infrastructure networks. Key areas include: Game-theoretic approaches to resource allocation Strategic decision-making in multi-stakeholder environments Simulation tools for space logistics and Earth science missions Awards: National Science Foundation CAREER Award (2020) NDSEG Fellowship (2010) Robert C. Byrd Honors Scholarship (2003) Advising & Grants: Grogan oversees research grants totaling over $5M, including NASA-funded projects on new observing strategies and Earth science missions. He advises graduate students and collaborates with organizations like SpaceNet and the Institute for Data, Systems, and Society . His lab (CODE Lab) develops tools like the Tradespace Analysis Tool for Constellations (TAT-C) . Labs & Teams: He directs the CODE Lab , focusing on collaborative design experiments, digital twins, and space system architecture. Ongoing projects include the New Observing Strategies Testbed (NOS-T) for Earth science mission simulation.

• 5G and Beyond Radio Access Networks
• Mobility Management
• Over-the-Air Computation
• +3 more

Dr. Semiha Tedik Basaran is an Assistant Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU), where she has held this position since 2020. Previously, she was a Researcher at Ericsson (2019–2020), focusing on 5G/6G radio networks, and a Research Assistant at ITU (2012–2019). She also held visiting researcher roles at RWTH Aachen University (2017) and Alexander Technological Educational Institute of Thessaloniki (2018). Her research focuses on 5G/6G radio access networks , including mobility management , over-the-air computation , random network coding , and non-terrestrial networks . She has contributed to projects on 5G private networks, denial-of-service attacks, and secure communication protocols. Her work emphasizes practical implementations, including software-defined radio prototyping and hardware design. Education: B.Sc. in Electronics and Communication Engineering (Ranked 2nd, ITU, 2011) M.Sc. and Ph.D. in related fields (not explicitly stated, inferred from roles and awards) Dr. Basaran has received prestigious awards, including the IEEE Turkey Best PhD Dissertation Award (2019), Istanbul Technical University Best PhD Dissertation Award , and TUBITAK scholarships. She holds multiple patents on secure communication systems, network coding, and failure prediction algorithms. Her recent work explores terahertz networks , satellite-aided relaying , and AI-driven edge computing . She teaches Communications I and Mobile Communication Systems at the undergraduate and graduate levels, respectively.

Xinyu LeiView profile

Assistant Professor

• Distributed Computing
• Mobile Computing
• Data Science
• +6 more

Xinyu Lei is an Assistant Professor in the Department of Computer Science at Michigan Technological University (MTU) , where he joined in Fall 2021. He earned his PhD in Computer Science and Engineering from Michigan State University (MSU) , advised by Prof. Guan-Hua Tu. Prior to MTU, he worked as a Research Assistant at Texas A&M University at Qatar (2013) and a Research Intern at Ford Motor Company (2017). University: Michigan Technological University Department: Computer Science Academic Rank: Assistant Professor PhD Institution: Michigan State University His research focuses on distributed computing , mobile systems , data science , and trustworthy machine learning , with particular emphasis on privacy-preserving protocols for IoT and blockchain technologies. His publications span top venues like ACM MobiCom , IEEE TDSC , and IEEE TIFS , addressing vulnerabilities in cellular IoT, secure blockchain protocols, and federated learning systems. Recent work includes privacy-preserving federated learning in 2023 (TIFS), secure redactable blockchain (TDSC), and IoT data heterogeneity handling (IoT-J). Earlier contributions in 2020-2021 explored Wi-Fi security for smart homes (MobiSys), encrypted geodata queries (ICDE), and Bitcoin payment protocols (CODASPY). Research Grants: NSF CRII: CNS-2153393 ($175K, Sole-PI) Professional Activities: Program Committee: CVPR'24, INFOCOM'24 TPC: BigDataService'20, Workshop Mobicom'19 Dr. Lei teaches graduate and undergraduate courses in applied cryptography (CS 5090), network security (CS/EE 4723), and computer security (CS 4471/5471) at MTU. He also contributes to academic community service through program committee roles at conferences like CVPR, INFOCOM, and WSDM.

Wan J. FokkinkView profile

Professor

• Model-Based System Engineering
• Supervisory Control Synthesis
• Distributed Algorithms
• +7 more

Wan J. Fokkink is a Full Professor ("Professor") at Eindhoven University of Technology (TU/e) in the Faculty of Mechanical Engineering , specifically the Control Systems Technology Group. He also holds a concurrent position as Professor of Theoretical Computer Science at Vrije Universiteit Amsterdam since 2004. His research bridges mechanical engineering and computer science, focusing on formal methods for software development in civil infrastructure and logistics. Education : MSc in Mathematics (1990, University of Amsterdam); PhD in Computer Science (1994, University of Amsterdam) Professional Affiliations : Embedded Systems Group (CWI, 2000-2004); Part-time Professor on Stochastic Design (TU/e, 2012-2016); Co-founder and former vice-chair, IFIP Working Group 1.8 His research interests include: Automated synthesis of safety-critical control software using formal methods Verification of communication protocols and distributed algorithms Application of process algebra and modal logic to real-world systems Model-based development of PLC code for civil engineering structures (bridges, dams, tunnels) Collaboration with semi-industry partners like Rijkswaterstaat and Vanderlande Industries Recent research trends show interdisciplinary focus on: Supervisory control theory applied to logistics and civil infrastructure Abstraction techniques in cyber-physical systems Optimization and fault-tolerance in automated control He actively contributes to UN Sustainable Development Goals through applications in smart infrastructure.

• Computer Science
• Electrical Engineering
• Machine Learning
• +5 more

Haobo Wang is a researcher affiliated with Zhejiang University , specifically within the School of Software Technology under the College of Computer Science and Technology . His work bridges Computer Science and Electrical Engineering , focusing on Machine Learning , Signal Processing , and Remote Sensing .

Wolfgang UtschickView profile

Professor

• Signal Processing
• Wireless Communications
• Radar Technology
• +3 more

Prof. Wolfgang Utschick is a full Professor at the Technische Universität München (TUM), holding the professorship for Methods of Signal Processing since 2002. He is affiliated with the TUM School of Computation, Information and Technology and the Department of Electrical Engineering and Information Technology (EI). Since 2017, he has served as Dean of the EI Department, overseeing academic and research activities. His research integrates applied mathematics into signal processing applications across wireless communications, radar technology, vehicle safety, and machine learning. Prof. Utschick earned his doctorate after industry experience and completed postdoctoral studies at TUM and ETH Zurich. He has led numerous industrial and DFG-funded projects, resulting in patents in signal processing and over 150 peer-reviewed publications. Notable contributions include advancements in channel estimation, MIMO systems, and quantum radar technology. His research interests emphasize the intersection of mathematical theory and practical engineering, with a focus on optimizing communication systems and safety-critical applications. Awards include IEEE Fellow (2021), TUM Sabbatical for Teaching Excellence (2014), and multiple IEEE publication awards. Prof. Utschick’s work bridges academia and industry, addressing challenges in 5G/6G networks, radar innovation, and machine learning-driven signal processing. He remains active in curriculum development and departmental leadership at TUM.

• Digital Communications
• Wireless Communications
• Satellite Communication Systems
• +7 more

George P. Efthymoglou is a Professor at the Department of Digital Systems, University of Piraeus, Greece, since 2002. He currently serves as Department Chair and teaches courses including Advanced Topics in Wireless Communications, Signals and Systems, and Digital Signal Processing. His research focuses on digital communications with an emphasis on cellular and satellite systems, interference management, and network performance analysis. Education: B.S. in Physics, University of Athens (1991) M.S. & Ph.D. in Electrical Engineering, Florida Atlantic University, USA (1993 & 1997) Research Interests: His work spans wireless communication systems, UAV-assisted networks, 5G/6G technologies, and signal processing for interference-limited environments. He has contributed to advancing techniques for mobility management, energy efficiency, and performance evaluation in heterogeneous networks. Recent Contributions: His recent work explores joint sensing-communication in UAV systems, beacon-assisted wireless power transfer, and stochastic analysis of fading channels. His studies often bridge theoretical models with practical implementations in satellite and vehicular networks. Advising & Grants: Actively seeks student interns for research projects. Has led collaborative initiatives with industry partners like Motorola and Cadence Design Systems, focusing on 3G/5G system modeling and performance evaluation. Labs & Teams: Engages in interdisciplinary projects at the University of Piraeus, collaborating with experts in medical informatics and computer science through initiatives like the Health CASCADE Study.

Ben LEONG Wing LupView profile

Associate Professor

• Computer Networking
• Distributed Systems
• Software Defined Networks
• +6 more

Dr. Ben Leong is an Associate Professor of Computer Science at the National University of Singapore (NUS), holding roles as Assistant Dean, Director of the Centre for Computing for Social Good and Philanthropy (CCSGP), and Director of the AI Centre for Educational Technologies (AICET). He earned his S.B., M.Eng., and Ph.D. from MIT (Computer Science, 2006). His research focuses on computer networking and distributed systems, including low-latency TCP, mobile cellular networks, and software-defined networks. He has published extensively at top venues like SIGCOMM and CoNEXT. Dr. Leong is a recipient of the NUS Outstanding Educator Award (2015) and multiple teaching excellence awards. He has supervised numerous PhD students and contributed to educational initiatives, including Coursemology, a gamified learning platform. Beyond academia, he serves as Chief Data Officer at AI Singapore and leads software development for the Ministry of Education. His research group explores modern network protocols, congestion control, and distributed systems. Notable projects include improving TCP performance in cellular networks and mitigating packet loss in datacenters. He has also pioneered innovations in educational technology, blending gamification with programming feedback systems.

Konstantinos ManousakisView profile

Research Fellow

• Optical networks
• Optimization algorithms
• Network security
• +3 more

Konstantinos Manousakis is a Post-Doctoral Fellow at the KIOS Research and Innovation Center of Excellence at the University of Cyprus. He holds a Diploma (2004), MSc (2007), and PhD (2011) in Computer Engineering and Informatics from the University of Patras, Greece. Focus on optical networks and optimization algorithms Extensive participation in national and EU research projects 60+ publications in top-tier journals and conferences His research interests include secure optical network design, impairment-aware routing, network coding, and techno-economic analysis of communication systems. He has received recognition for his work, including the IEEE/OSA outstanding reviewer award and the Cyprus Young Researcher Award, while also leading grants focused on physical layer attack mitigation in next-generation networks. Recipient of Marie Curie Career Integration Grant (2014-2018) Best paper award at CRITIS’2013 IEEE Senior Member

Giannis SavvaView profile

Researcher

• Telecommunications
• Optimization Algorithms
• Heuristic and Metaheuristic Approaches
• +5 more

Giannis Savva is a Research Associate at the KIOS Research and Innovation Center of Excellence, University of Cyprus, holding a Ph.D. in Electrical Engineering from the same institution (2022) following his B.Sc. (2017). He is an IEEE member actively contributing to telecommunications research. His academic background includes: B.Sc. in Electrical Engineering, University of Cyprus (2017) Ph.D. in Electrical Engineering, University of Cyprus (2022) Dr. Savva's research spans critical areas in network engineering with emphasis on: Advanced optimization techniques for resource allocation Security frameworks for optical networks Metaheuristic approaches to network planning Physical layer security implementations Network coding innovations His work integrates algorithmic efficiency with robust security protocols to address modern telecommunications challenges, particularly in infrastructure resilience and data protection. No scientific awards were documented in the source material. Details regarding student supervision or research grants were not provided in the available information. He operates within the KIOS Research and Innovation Center of Excellence, a specialized hub at the University of Cyprus focused on intelligent systems and network security solutions.

Gary B LamontView profile

Professor

• Evolutionary Algorithms
• Multi-Objective Optimization
• Computational Intelligence
• +7 more

Dr. Gary B. Lamont is a Professor in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), part of Air University. His work bridges computational intelligence, evolutionary algorithms, and defense systems engineering, with extensive applications in aerospace, cybersecurity, and autonomous systems. Ph.D., University of Minnesota Institute of Technology, 1970 Master of Science in Electrical Engineering, University of Minnesota Institute of Technology, 1967 Bachelor of Physics, University of Minnesota Institute of Technology, 1961 Dr. Lamont’s research centers on multi-objective evolutionary algorithms (MOEAs) , with applications in UAV swarm mission planning, network intrusion detection, image processing, and protein structure prediction. He has pioneered the use of evolutionary computation in military and defense contexts, including radar waveform design, satellite constellation planning, and autonomous agent behavior generation. His work often integrates swarm intelligence, artificial immune systems, and distributed optimization techniques. The recent publications highlight a strong trend toward military and defense applications of computational intelligence, particularly in electronic warfare, space surveillance, and cyber defense. His work frequently employs multi-objective optimization to balance competing constraints in real-world systems such as radar, UAV swarms, and network security architectures. Image processing and signal transformation using evolved algorithms also remain active areas, especially for defense imaging and compression. IEEE Fritz Russ Bio-Engineering Award, 2008 IEEE Senior Life Member, 2004 Eta Kappa Nu AFIT Teacher of the Year, 2002 WPAFB Professional Employee of the Year, 1981 Best Presentation Award, Institute of Navigation, 2008 BEST PAPER AWARD, Gameon North America '09 Best Paper Award Nominee, IEEE SSCI 2007 Dr. Lamont has advised numerous graduate students, including Jeremy Stringer, Mark Kleeman, and Dustin Nowak, many of whom have co-authored significant publications with him. His research has been supported by the U.S. Air Force and other defense agencies, enabling high-impact work in autonomous systems, network security, and optimization under uncertainty. He has led projects involving multi-agent systems, self-organized swarms, and parallel evolutionary algorithms, often in collaboration with institutions like Wright-Patterson Air Force Base. His research group at AFIT operates at the intersection of computational intelligence and defense engineering, focusing on self-organized UAV swarms , evolutionary intrusion detection systems , and adaptive signal processing . The team utilizes high-performance computing environments and simulation platforms like Swarmfare to test swarm behavior and mission planning algorithms. The lab emphasizes software engineering discipline in AI systems, as seen in tools like jREMISA, and integrates biological metaphors such as immune systems and genetic algorithms into robust cyber defense frameworks.

Tobias BonhoefferView profile

Professor

• Neuroscience
• Synaptic Plasticity
• Visual System
• +4 more

Tobias Bonhoeffer is Director of the Department of Synapses - Circuits - Plasticity at the Max Planck Institute for Biological Intelligence (formerly Max Planck Institute of Neurobiology) in Martinsried, Germany, and Professor at the Ludwig Maximilian University of Munich since 2002. He also serves as Associate Professor at the Norwegian University of Science and Technology (NTNU) since 2014. His research spans multiple levels of analysis, from molecular studies to systems neuroscience, with a primary focus on synaptic plasticity mechanisms and visual system organization. Born January 9, 1960 in Berkeley, California, Bonhoeffer earned his Physics diploma from Eberhard-Karls University of Tübingen (1984) and completed his neurobiology doctorate at the Max Planck Institute for Biological Cybernetics (1988). His postdoctoral work at Rockefeller University with Amiram Grinvald and Torsten Wiesel (1989-1990) was followed by research with Wolf Singer at the Max Planck Institute for Brain Research (1991-1992). He led a research group at the Max Planck Institute of Psychiatry (1993-1998) before becoming Director at the Max Planck Institute in 1998. Bonhoeffer's lab has made seminal contributions to understanding how synaptic plasticity relates to structural changes in the brain. They demonstrated that growth and retraction of dendritic spines underlies synaptic plasticity, that these structural changes facilitate relearning of previously acquired information, and how experience shapes cortical maps. His current research employs advanced imaging techniques to study neural circuits at unprecedented resolution, examining how visual experience drives representational changes in cortical organization and how these relate to memory processes. Analysis of his recent publications reveals a strong emphasis on mouse visual cortex organization, dendritic spine dynamics, and the relationship between structural and functional plasticity. His work increasingly incorporates computational approaches and advanced imaging methods to bridge cellular mechanisms with systems-level understanding of brain function. Member of the Academia Europaea (2003) Ernst Jung Prize for Medicine (2004) EMBO member (2006) Member of the German National Academy of Sciences Leopoldina (2010) Member of the National Academy of Sciences (NAS) (2020) Bonhoeffer has held significant advisory roles including Governor of the Wellcome Trust (2014-2021) and Scientific Advisor to the Chan Zuckerberg Initiative (since 2016). His lab continues to pioneer new methodologies for studying neural plasticity, with recent work focusing on synaptic changes during learning, structural correlates of memory, and how neural circuits adapt to changing environmental demands in both virtual and real-world contexts. The Bonhoeffer Lab maintains extensive international collaborations and trains the next generation of neuroscientists. Their research program integrates multiple approaches including two-photon imaging, virtual reality behavioral paradigms, and computational modeling to unravel the complex relationship between structural and functional plasticity in neural circuits.

Søren Juhl AndersenView profile

Associate Professor

• Wind Turbine Engineering
• Computational Fluid Dynamics
• Large Eddy Simulation
• +3 more

Søren Juhl Andersen is an Associate Professor at the Department of Wind and Energy Systems Flows Wind Turbine Design Division, Technical University of Denmark (DTU). His research focuses on wind turbine wake dynamics, computational fluid dynamics (CFD), and energy systems optimization. Education : Not explicitly mentioned in provided texts Research Interests : Dr. Andersen specializes in wind turbine aerodynamics, turbulence dynamics, and data-driven flow control. His work explores Large Eddy Simulation (LES) for wind farm modeling, Proper Orthogonal Decomposition (POD) for wake characterization, and machine learning applications in wind energy optimization. Article Trends : Recent publications emphasize wake steering uncertainty, turbulence integral scales, and reduced-order modeling. Key themes include wind farm control strategies, lidar-assisted flow estimation, and cross-code validation of simulation tools. Projects : He leads initiatives like Train2Wind (2020–2024) and supervises PhD projects on machine learning surrogates, non-equilibrium turbulence dynamics, and wake entrainment studies. Conferences : Presented at Wake Conference (2025), TORQUE (2024), and FarmConners (2020)

Daniel M. MittlemanView profile

Professor

• Terahertz Science
• Optical Physics
• Wireless Communication
• +4 more

Daniel M. Mittleman is a Professor of Engineering at Brown University's School of Engineering. He received his Ph.D. in Physics from the University of California, Berkeley, and previously held a faculty position at Rice University's ECE Department before joining Brown in 2015. Education: B.S. in Physics, Massachusetts Institute of Technology (1988) M.S. and Ph.D. in Physics, University of California, Berkeley (1990, 1994) Research interests span the science and technology of terahertz radiation, including: Terahertz wireless communications for future networks above 100 GHz Spectroscopic studies of condensed matter systems and complex materials Development of near-field probes for sub-wavelength imaging Device concepts for modulation, multiplexing, and beam steering in THz systems His work on terahertz wireless systems focuses on channel properties, security against eavesdropping, and physical layer components. Recent terahertz spectroscopy includes pressure-dependent studies and analysis of vibrational modes in soft matter systems. Antenna and metasurface research explores novel designs for wavefront engineering and secure communication. Scientific awards include Fellowships from the Optical Society of America, IEEE, and the American Physical Society. Students and collaborators include Ph.D. candidates Zhaoji Fang, Pingchuan Ma, and Chloe Stults, as well as postdoctoral fellows Johanna Kölbel and Kevin Mutai. He teaches courses such as ENGN 0030 - Introduction to Engineering and ENGN 1730 - Lasers and Nonlinear Optics .

Stefan StrickerView profile

Professor

• CRISPR-based epigenetic engineering
• Neural stem cells
• Brain tumours
• +3 more

Prof. Dr. Stefan Stricker is a full member of the Graduate School of Systemic Neurosciences (GSN) and a regular member of the Munich Center for Neurosciences (MCN) at Ludwig-Maximilians-Universität München (LMU). He leads the Physiological Genomics research group jointly housed at the Biomedical Center LMU and Helmholtz Zentrum München, where he explores CRISPR-based epigenetic engineering, neural stem cell biology and brain tumour reprogramming. Research Interests: CRISPR-based epigenetic engineering – developing precise tools to rewrite chromatin states in somatic and cancer cells. Neural stem cell identity – decoding transcriptional and epigenetic networks that govern self-renewal versus differentiation. Brain tumour reprogramming – converting malignant glioma cells to a pluripotent, non-tumourigenic state to interrogate cancer epigenetics. Long non-coding RNAs (lncRNAs) – investigating Airn and other macro ncRNAs in genomic imprinting and gene-silencing mechanisms. Across more than fifteen years his work has produced a coherent body of literature that moves from fundamental imprinting biology in embryonic stem cells to translational applications in glioblastoma. Re-occurring themes include DNA-methylation resetting, allele-specific expression biases, and the therapeutic vulnerabilities of glioblastoma initiating cells. Selected Publications & Trends: The 15 most recent publications (2004-2014) reveal a clear progression from mechanistic studies of lncRNA-mediated silencing ( Airn , Igf2r ) to high-impact investigations of glioblastoma stem-cell biology and CRISPR-mediated reprogramming. Collectively these works sit at the intersection of epigenetics , cancer biology and neurodevelopment . Scientific Awards & Fellowships: While no specific prizes are listed, multiple papers were recommended or highlighted by Faculty of 1000 and featured research highlights in Cancer Research and Nature Reviews Cancer . Advising & Training: Graduated GSN student: Dr. Valentin Baumann Laboratory & Institutional Affiliations: Prof. Stricker’s Physiological Genomics group is physically embedded within the Biomedical Center LMU and the Helmholtz Zentrum München, facilitating close collaboration between the university medical faculty and Germany’s largest biomedical research organisation.