جستجوی استاد راهنمای دانشگاهی

• Optical Communications
• Fiber-Optic Communication Systems
• Digital Signal Processing
• +۳ مورد دیگر

M.Sc. Alex Jäger is a doctoral researcher at the Institute for Communications Engineering at the Technical University of Munich (TUM), affiliated with the Chair of Communications Engineering (Prof. Kramer) . His research focuses on mitigating nonlinear distortions in fiber-optic communication systems, particularly addressing cross-phase modulation and phase noise through advanced coding schemes and signal processing techniques. Education: B.Eng. from University of Applied Sciences Konstanz (HTWG), 2020 M.Sc. from Technical University of Munich (TUM), 2022 Research Interests: Development of coding schemes, receiver design, and digital signal processing methods for optical fiber channels. His work addresses challenges like nonlinear effects, capacity bounds, and interference cancellation in high-speed fiber-optic systems. Teaching: Involved in teaching courses such as Machine Learning for Communications , Digital Signal Processing for Optical Communication Systems , and Scientific Seminars on Coding/Cryptography/Optical Communications . Thesis Supervision: Completed Theses: Turbo Equalization for Optical Fiber/Phase Noise Channels , Balanced Information Rates for Successive Interference Cancellation , and others. Ongoing Theses: Perturbation-Based Solutions of the Nonlinear Schrödinger Equation . Available Topics: Focus on optical communications and receiver design at BA/MA/FP levels. Labs/Teams: Active in the Institute for Communications Engineering , collaborating with Prof. Kramer and the Optical Networks Group (ONG) at UCL during his M.Sc. thesis.

Fraser Brownمشاهده پروفایل

استاد مدعو

• Systems
• Programming Languages
• Security
• +۳ مورد دیگر

Fraser Brown is a Courtesy Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, affiliated with the College of Engineering. His research focuses on the intersection of systems, programming languages, and security, with particular emphasis on verified compilers, cryptographic applications, and finding vulnerabilities in real systems. He holds a position at the university's Pittsburgh campus located at 5000 Forbes Avenue. His research interests include compiler optimization verification, cryptographic protocol compilation, and secure execution environments. Notable projects involve verified components of browser JIT compilers and compilation infrastructure for cryptographic use cases. He has contributed to frameworks like WaVe (verifiably secure WebAssembly runtime) and Icarus (trustworthy JIT compilers). Recent publications (2021–2025) explore topics such as zero-knowledge proof compilers, secure MPC protocols, and microarchitectural vulnerability mitigation. His work frequently combines formal verification techniques with practical system implementations to enhance software and hardware security. Fraser has collaborated on grants like the SaTC-funded project on verified secure sandboxed systems. While no formal advisees are listed, his research contributions reflect collaborative efforts in academic and industrial contexts. His work is disseminated through venues like programming language and security workshops (e.g., PLAS 2023) and peer-reviewed journals/conferences.

Venkata S.S. Gandikotaمشاهده پروفایل

استادیار

• Foundations of Machine Learning
• Algorithms for Big Data
• Coding Theory
• +۳ مورد دیگر

Dr. Venkata S.S. Gandikota is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Syracuse University. He is an Affiliate Faculty at the EnCORE Institute for Emerging CORE Methods in Data Science and an IEEE Senior Member. His research focuses on algorithmic principles for data recovery under noise, leveraging coding theory and structured redundancy to design efficient machine learning and distributed computing algorithms. Key areas include sparse recovery, error-correcting codes, and lattice-based methods. Education Ph.D. Computer Science, Purdue University MS Computer Science, Purdue University MSc Mathematics & B.E. Computer Science, Birla Institute of Technology and Science, Goa, India Research interests span Foundations of Machine Learning, Algorithms for Big Data, Coding Theory, Information Theory, and Lattice Algorithms. His work integrates combinatorial coding principles with modern machine learning challenges, emphasizing robustness against noise and computational efficiency. Recent trends in his publications include advancements in compressed sensing, distributed clustering, and quantum hypothesis testing. Awards: CUSE Seed Grant, SOURCE RA Grant, IEEE Senior Member designation Grants: Supported by CUSE and SOURCE RA grants for research in algorithmic data recovery and distributed systems Labs/Teams: Active contributor to the EnCORE Institute, focusing on emerging data science methodologies

John Bekkersمشاهده پروفایل

استاد

• Neuroscience
• Olfactory System
• Epilepsy
• +۳ مورد دیگر

Professor John Bekkers is the Head of the Division of Neuroscience at the Eccles Institute of Neuroscience, Australian National University (ANU). He leads the JCSMR's research efforts in understanding olfactory and cortical processing mechanisms. His academic journey includes a BSc (Hons 1) in Physics from Griffith University, an MSc in History & Philosophy of Science from Manchester University, and a PhD in Neuroscience from Cambridge University. Postdoctoral training at Yale University and the Salk Institute further refined his expertise. Research interests focus on the neural circuits of the olfactory cortex, particularly the piriform cortex, exploring odor recognition, epilepsy susceptibility, and cortical dysfunction in mental disorders. His group employs advanced techniques like 2-photon microscopy, optogenetics, and computational modeling. Key projects include circuit mapping in the piriform cortex and studying epilepsy mechanisms. Over 500+ citations and awards such as the Queen Elizabeth II Fellowship highlight his contributions. Awards: Griffith University Medal, Alexander von Humboldt Fellowship, Award for Education in Neuroscience Advising: Supervises PhD students in olfactory neuroscience and epilepsy research Labs/Teams: The Bekkers Group - Olfaction, leading projects on odor processing and cortical dynamics His work bridges fundamental neuroscience with clinical insights into neurological disorders like epilepsy and Alzheimer’s.

Ismail Akturkمشاهده پروفایل

استادیار مدعو

• Neuromorphic Computing
• Hardware Security
• Heterogeneous Systems
• +۵ مورد دیگر

Ismail Akturk serves as an Adjunct Assistant Professor in the Electrical Engineering and Computer Science (EECS) department with a courtesy appointment. His research bridges hardware architecture, neuromorphic computing, and security, focusing on energy-efficient systems and novel computational paradigms. His research interests center on neuromorphic engineering with significant contributions to Intel's Loihi architecture, implementing bio-realistic neural models and exploring scaling limits. He investigates hardware security through microarchitectural vulnerability assessments and develops frameworks for secure edge computing. His work in heterogeneous systems includes optimizing parallel programming models across GPUs and CPUs while pioneering techniques like weight update skipping and value recomputation to accelerate deep learning. Recent publications demonstrate a strong trajectory toward secure, energy-efficient neuromorphic systems with practical applications in edge environments. Dr. Akturk's publication record reveals a strategic evolution from distributed storage systems (2009-2012) toward cutting-edge neuromorphic and security research. His 2023-2025 work shows increasing focus on secure miniservers, RTL code generation via LLMs, and bio-realistic neural implementations – indicating convergence of AI, hardware security, and neuromorphic computing. The consistent emphasis on energy efficiency across publications suggests this remains a core research thread. His scientific contributions include novel frameworks like ACR (Amnesic Checkpointing and Recovery) and Holistic Hardware Security Assessment, though formal awards aren't documented in available sources. His methodology consistently combines theoretical modeling with hardware implementation, particularly evident in Loihi processor optimizations. As an adjunct faculty member, Dr. Akturk contributes to EECS education while maintaining active research output. His current trajectory suggests growing involvement in secure edge computing systems and neuromorphic AI acceleration, with potential implications for low-power IoT security and real-time neural processing applications.

Alexander Wildمشاهده پروفایل

پژوهشگر

• Security Aspects of FPGAs
• Side-Channel Analysis
• Physical Unclonable Functions
• +۳ مورد دیگر

Dr. Alexander Wild is a former researcher at Ruhr-University Bochum's Faculty of Computer Science, affiliated with the Horst Görtz Institute for IT-Security. He completed his Diploma in 'Security in Information Technology' (2006–2012) and held a PhD position (2012–2016) at the Chair for Embedded Security. His research focuses on FPGA security, side-channel analysis, and physical unclonable functions (PUFs). Education: PhD in Embedded Security, Ruhr-University Bochum (2012–2016) Diploma in Security in Information Technology, Ruhr-University Bochum (2006–2012) Research interests include securing FPGAs against side-channel attacks, designing PUF-based authentication mechanisms, and optimizing hardware security countermeasures. His work bridges hardware design with cryptographic applications, emphasizing practical implementations on reconfigurable systems. His publications (e.g., automated EM probe repositioning, GliFreD duplication schemes) highlight contributions to FPGA-based security primitives and PUF reliability. He has collaborated with institutions like the Horst Görtz Institute and co-authored works presented at conferences such as HOST, CHES, and FPL. Affiliated with the Emmy Noether Group and involved in projects like the CAVE research initiative, he emphasizes interdisciplinary approaches to hardware security challenges.

• Algebra
• Finite Group Theory
• Galois Theory
• +۵ مورد دیگر

Prof. Dr. Peter Müller is a Professor of Mathematics at the University of Würzburg, leading the Chair of Mathematics I (Algebra). He is affiliated with the Institute of Mathematics and is based at Campus Hubland Nord, Emil-Fischer-Straße 30. His research focuses on algebraic structures, finite groups, Galois theory, coding theory, and geometric configurations. He actively contributes to the Algebra Seminar and supervises research within his team. Research interests include permutation polynomials, group actions, finite field applications, and combinatorial geometry. His recent work explores topics like Segre’s theorem on ovals, Kakeya sets in finite vector spaces, and Galois groups of multivariate polynomials. Contact: peter.mueller@uni-wuerzburg.de | Office: Building 30 (Mathematics West), Room 03.03 | Phone: +49 931 31-85012

Lu Suمشاهده پروفایل

دانشیار مدعو

• Internet of Things
• Cyber-Physical Systems
• Mobile Computing
• +۷ مورد دیگر

Dr. Lu Su is a Volunteer Adjunct Associate Professor in the Department of Computer Science and Engineering at Purdue University's School of Engineering and Applied Sciences. His research focuses on Internet of Things (IoT), cyber-physical systems, mobile computing, wireless networks, and related security challenges in autonomous systems. He has contributed to advancements in acoustic sensing, federated learning frameworks, and adversarial attack mitigation strategies. Dr. Su's work emphasizes practical applications such as 3D hand pose reconstruction using acoustic signals, mmWave-based human activity recognition, and securing sensor fusion in autonomous vehicles. His research also explores federated learning optimization, data poisoning defenses, and incentive mechanisms for mobile crowdsourcing systems. His publications span topics from real-time signal processing to cybersecurity in vehicular networks, with a particular emphasis on developing robust, scalable solutions for distributed and edge computing environments. Dr. Su maintains an active presence in the research community, contributing to conferences and open-source frameworks. His work is accessible via his website and Google Scholar profile .

• Labour Law
• Social Security Law
• Digital Labour Platforms
• +۴ مورد دیگر

Lidia Gil Otero serves as an Assistant Professor in the Department of Labour and Social Security Law at the University of Santiago de Compostela, teaching core courses across multiple academic programs including the Bachelor's degree in Labor Relations and Human Resources, Double bachelor degree in Laws and Labour Relations, Master in Labour Management, and Master in Urban Tourism and Management. Her instruction spans critical subjects such as Trade Union Law, Labour and Social Security Law in tourism companies, and Additional Social Security. Her research centers on the evolving challenges in contemporary labour law, with particular emphasis on digital transformation impacts. Key interests include algorithmic discrimination in platform hiring, work-life balance policies affecting commuting accidents, gender equality through historical suffragism analysis, and regulatory frameworks for gig economy workers. Her scholarship consistently bridges theoretical legal analysis with practical case studies from Spanish and European contexts, examining how traditional labour protections adapt to technological disruptions. Analysis of her 15 most recent publications (2020-2022) reveals a dominant focus on digital labour platforms, constituting over 40% of her output. This cluster examines employment classification disputes, algorithmic bias in hiring, and dual representation channels for platform workers. A second significant strand addresses work-life integration, analyzing commuting accidents and family responsibilities within social security frameworks. Her work demonstrates strong engagement with European Union policy developments, frequently critiquing or proposing reforms to harmonize national legislation with emerging EU directives on platform work. Dr. Gil Otero actively contributes to academic discourse through comprehensive annual reviews of Spanish Labour and Social Security Law (2020-2021) and critical book reviews examining collective bargaining theory, procedural labor law, and precarious work conditions. Her publications appear predominantly in Spanish legal journals with increasing international engagement, reflecting her position at the intersection of national scholarship and European regulatory debates. While specific grant funding isn't documented in the source material, her sustained output across diverse labour law subfields indicates robust research activity within the 'Enterprises & public governance' research group at USC.

• Robotics Localization
• Signal Processing
• Machine Learning
• +۳ مورد دیگر

DING Yuehua is a Researcher-Lecturer at the CESI Strasbourg Campus, part of the Engineering and Numerical Tools research team. They hold a HDR (Habilitation à Diriger des Recherches) from the University of Nantes (2020) and a PhD in 2011 focused on MIMO communication system performance optimization. Their academic roles include teaching Electronics, Signal Processing, and Big Data to engineer students in their first and third years. Research interests span Robotics Localization , Data Processing/AI , and Signal Processing , with a focus on integrating machine learning into robotics and wireless communication systems. Recent work emphasizes indoor robot localization using WiFi-visual fusion and SAR-based ship detection. Key technological skills include Python, C, and MATLAB. Publications reflect a strong emphasis on multi-scale object detection, hybrid modeling in marine science, and advanced signal processing techniques for MIMO systems. Review activities include IEEE TSP and TVT. No notable scientific awards are listed, but ongoing contributions include cross-disciplinary projects in medical robotics and materials science.

Reza Sharif-Naeiniمشاهده پروفایل

استاد

• Neurophysiology
• Mechanotransduction
• Pain Transmission
• +۳ مورد دیگر

Reza Sharif-Naeini is a Professor in the Department of Physiology at McGill University, affiliated with the Cell Information Systems Group. His research focuses on neurophysiological mechanisms underlying mechanotransduction and pain transmission, particularly the role of ion channels in sensory and cardiovascular systems. He leads the Sharif Lab , which investigates molecular and circuit-level mechanisms of pain and mechanosensation. Education: B.Sc., Université de Montréal M.Sc. and Ph.D., McGill University Research Interests: Molecular basis of mechanotransduction in neurons Neuronal circuits mediating pain transmission Role of polycystins and TRP channels in mechanosensation Therapeutic targets for chronic pain and cardiovascular disorders His work bridges basic science and translational medicine, aiming to identify novel pain therapies through ion channel modulation. Lab & Collaborations: The Sharif Lab employs electrophysiological, genetic, and computational approaches. Key collaborators include researchers studying ion channel physiology, spinal cord circuits, and plant biomechanics.

• Wireless Communication Networks
• Information Security
• Signal Processing
• +۴ مورد دیگر

Benoit Geller is a Full Professor at Institut Polytechnique Paris-ENSTA and holds the HDR (Accreditation to Lead Research) from the University of Paris. He leads the Specialized Master in Autonomous Systems for Defense (ILEMs). Previously, he was Head of the Multisensor and Information Team at SATIE lab (École Normale Supérieure Paris Saclay) until joining ENSTA in 2007. His expertise spans wireless communication security, underwater acoustic systems, and IoT networks. Key roles include French Navy Reserve Superior Officer and IEEE Senior Member. Education : HDR (2004), PhD in Wireless Communication Networks (1992, INPG), Engineering Master in Telecommunications (1988, ENSERB). Research Focus : Signal processing, cryptography, cross-layer solutions for tactical and underwater communications. Over 100 international papers and 4 pending patents. Awards : Knight of Academic Palms (2018), IEEE Senior Member (2010). Recent articles focus on turbo equalization, low-complexity algorithms for underwater acoustic channels, and energy-efficient IoT protocols. He has led projects in EU initiatives (e.g., Mast AIDA, MarTERA Bioglider) and DGA collaborations.

• Neuroscience
• Synaptic transmission
• Presynaptic mechanisms
• +۷ مورد دیگر

Professor Peter Jonas is a leading neuroscientist at IST Austria, specializing in synaptic transmission mechanisms and their role in neural circuits. He holds the Magdalena Walz Professorship for Life Sciences and leads the Jonas Group, focusing on nanophysiological studies of synapses using advanced techniques like optogenetics and flash-and-freeze electron microscopy. His research bridges biophysical mechanisms with network functions in the hippocampus and cortex. Education & Career: MD, University of Giessen (1987) Professorships at University of Freiburg (1995–2010), Technical University of Munich (1994–1995), and currently at IST Austria since 2010 Research Interests: Synaptic signaling and plasticity at glutamatergic/GABAergic synapses Role of presynaptic calcium channels and vesicle dynamics Neural coding in hippocampal circuits Mechanisms of gamma oscillations via inhibitory interneurons Awards & Honors: ERC Advanced Grants (2010, 2016), Gottfried Wilhelm Leibniz Award (2006) Member of EMBO, Leopoldina Academy, and Academia Europaea Lab & Team: Jonas Group at IST Austria includes postdocs, PhD students, and technical staff Current projects: Mossy fiber synapse plasticity, synaptic ultrastructure, and in vivo network modeling

• Satellite Communications
• Antenna Engineering
• 5G Technology
• +۴ مورد دیگر

Leshan Uggalla is a Senior Lecturer at the University of South Wales, affiliated with the Faculty of Computing, Engineering and Science. His expertise spans satellite communications, antenna engineering, and advanced wireless systems. He actively contributes to research in millimeter-wave phased arrays, 5G technologies, rocket propulsion systems, and metamaterial applications. Research focuses include designing high-frequency communication systems (W-band, Ka-band), mitigating atmospheric interference in satellite links, and optimizing beamforming/steering algorithms. His work integrates hardware prototyping with simulation-based validation, evidenced by contributions to NI-2922 SDR platforms and MIMO testbed designs. Past projects involve developing resilient satellite video broadcast systems using time diversity techniques, and exploring novel applications of metamaterials in optical gas sensing. He has authored over 15 peer-reviewed articles since 2011, with recent emphasis on hybrid rocket engine control and 5G waveform evaluations. His Pure Profile contains detailed records of academic outputs and collaborations.

Basavesh Ammanaghatta Shivakumarمشاهده پروفایل

پژوهشگر

• Program Analysis
• Reliable Systems
• Systems Security
• +۳ مورد دیگر

Basavesh Ammanaghatta Shivakumar is a Researcher and Postdoctoral Associate in the Systems Software Research Group at the Bradley Department of Electrical and Computer Engineering, Virginia Tech, working under Professor Binoy Ravindran. His research focuses on program analysis, reliable systems, systems security, and fuzzing, with a strong emphasis on cryptographic implementations and hardware-software co-security. He holds a Ph.D. from Radboud University (Netherlands) and conducted doctoral research at the Max Planck Institute for Security and Privacy (Germany), supervised by Gilles Barthe and Peter Schwabe. He also earned a Master’s degree from Purdue University (USA) and a Bachelor’s in Computer Engineering from NITK Surathkal (India). His work addresses critical challenges in securing systems software against side-channel attacks, microarchitectural vulnerabilities, and concurrency errors. Recent contributions include HMTRace for dynamic data race detection and robust constant-time cryptographic implementations. Publications span topics like Spectre mitigation, kernel race bug detection, and IoT security. His research bridges theoretical cryptographic principles with practical system-level protections, emphasizing both software and hardware domains. No specific grants or awards are mentioned, but his extensive academic and industrial collaborations reflect his impactful contributions to computer security and systems research.