Find Academic Supervisors

• Machine Learning
• Neural Networks
• Computer Vision
• +4 more

Xiao Wu is a researcher affiliated with multiple academic institutions, including Southwest Jiaotong University (School of Information Science and Technology), University of Michigan (Department of Electrical Engineering and Computer Science), and Chinese Academy of Sciences (Institute of Computing Technology). His work spans diverse areas such as machine learning, computer vision, remote sensing, and medical image analysis. Research interests include transformer architectures , deep learning for time series and image processing , multi-agent control systems , and industrial optimization . Recent publications focus on novel neural network designs for applications in drilling process optimization, brain-computer interfaces, and multispectral/hyperspectral image fusion. His work integrates advanced algorithms like tensor decomposition , multiscale temporal convolution , and adaptive recalibration modules to address challenges in engineering and biomedical domains. Collaborations involve institutions like Harvard University, Jiangnan University, and Hong Kong Polytechnic University.

• Cryptography
• Quantum Computing
• Information Theory
• +3 more

Lev Stambler is a PhD student and Adjunct Assistant Professor at the University of Maryland. His primary advisor is Matthew Coudron. Stambler's research focuses on cryptography, quantum computing, and information theory, with notable contributions to quantum memory security, cryptographic protocols, and adversarial AI model analysis. His work bridges theoretical foundations and practical applications, including quantum one-time memories, stateless hardware security, and transformer model vulnerabilities. Recent publications explore geometric adversary models for one-time programs, blockchain-secured cryptographic primitives, and hypergraph product codes for quantum error correction. Stambler's research trends emphasize cross-disciplinary integration of quantum computing with classical cryptography, as well as formal verification of machine learning systems. No scientific awards are explicitly mentioned in the provided texts. He collaborates on projects addressing decoding failures in hypergraph product codes and weighted secret sharing mechanisms derived from wiretap channels.

Konstantinos YiannopoulosView profile

Associate Professor

• Optical Wireless Communications
• Network Optimization
• Signal Processing
• +10 more

Dr. Konstantinos Yiannopoulos is an Associate Professor in the Department of Informatics and Telecommunications at the University of Peloponnese, Greece. He is affiliated with the Faculty of Economics, Management and Informatics. His research focuses on optical wireless communications , network optimization , error correction techniques , and high-speed data transmission systems . Key areas include resource allocation in metro-core networks, V2X communication protocols, and semiconductor optical amplifier applications. His work spans over 50 publications , with recent contributions addressing: Pre-amplified PPM receiver design Light-tree networks for latency optimization SDN architectures like NEPHELE for cloud data centers Fading mitigation in underwater optical systems He leads the Communication Networks and Applications Laboratory , exploring innovative solutions for optical wireless systems and network scalability. Current research emphasizes QoS-aware resource management in multipoint networks and techno-economic feasibility studies for metro-core infrastructure.

• Wireless Communications
• Telecommunications
• Signal Processing
• +3 more

Prof. Rob Maunder is a Professor of Electronics & Computer Science at the University of Southampton. He holds a BEng (First Class Honours) in Electronic Engineering (2003) and a PhD in Telecommunications (2007). His research focuses on joint source/channel coding, wireless communication algorithms, and hardware implementations. He leads projects funded by EPSRC and the Royal Society, including work on 5G non-terrestrial networks and reconfigurable intelligent surfaces. Rob is the founder and CTO of AccelerComm Ltd, commercializing his research via soft-IP solutions. He has held roles from Lecturer (2007) to Professor (2017), and is a Chartered Engineer (IET), IEEE Senior Member, and IET Fellow. His work spans MIMO systems, iterative receivers, and deep learning applications in communications. Key honors include Fellowships from the IET (2017) and Higher Education Academy (SFHEA). He supervises PhD students, such as Arumjeni Mitayani, and collaborates with industry partners like Thales. Current research emphasizes energy-efficient wireless networks, next-gen modulation techniques, and hardware-software co-design.

• Wireless Communication
• Machine Learning
• Digital Signal Processing
• +6 more

Prof. Christoph Studer is a Full Professor of Integrated Information Processing at ETH Zurich's Department of Information Technology and Electrical Engineering. He leads the Integrated Systems Laboratory and directs SwissChips. His research focuses on wireless communication, machine learning, signal processing, and hardware-efficient algorithms, with applications in B5G systems, sensing-communication integration, and low-power signal processing. He holds a Ph.D. and M.S. from ETH Zurich (2009 and 2006) and has held academic positions at Cornell University before returning to ETH in 2020. Notable honors include the NSF CAREER Award (2017), ETH Medal for Doctoral Dissertation (2011), and multiple teaching awards. Education: M.S. and Ph.D. in Information Technology and Electrical Engineering, ETH Zurich (2006, 2009) Visiting Researcher, Stanford University (2005) Research Interests: Develops algorithms and hardware for high-throughput, low-power wireless systems. Key areas include: B5G multi-antenna systems and simultaneous sensing-communication (SISCO) Analog-to-feature (A2F) conversion for low-power signal classification Hardware-software co-design for efficient microchip integration Publications: Focus on channel charting, jammer mitigation, and deep learning for communication. Recent work includes CSI2Vec, jammer-resilient synchronization, and distributed MIMO systems. Awards: US NSF CAREER Award (2017) Michael Tien Teaching Award (2016) ETH Medal for Doctoral Thesis (2011) Labs/Teams: Leads the Integrated Systems Laboratory at ETH and directs SwissChips, a national initiative for integrated circuit development.

Selçuk KöseView profile

Professor

• Hardware Security
• On-Chip Power Delivery
• Cryogenic Electronics
• +3 more

Selçuk Köse is a Full Professor in the Department of Electrical and Computer Engineering at the University of Rochester. Previously, he held positions at the University of South Florida as an Assistant Professor (2012-2018) and Associate Professor (2018-2019). He earned his B.Sc. from Bilkent University (2006), M.S. and Ph.D. from the University of Rochester (2008 and 2012, respectively). His research focuses on hardware security (side-channel attacks, fault injection, PUFs), on-chip power delivery, cryogenic electronics, graphene nanoribbon transistors, and nature-inspired computing (e.g., Ising machines). He has received prestigious awards including the NSF CAREER Award (2014) and Cisco Research Awards (2015–2017). His recent work emphasizes security in quantum computing interfaces, power delivery networks, and covert channel mitigation. Research funding comes from NSF, DARPA, DoE, and industry partners. He serves as an associate editor for IEEE and Springer journals.

Peter FarkašView profile

Professor

• Communication Theory
• Coding Theory
• Information Transfer
• +4 more

Prof. Ing. Peter Farkaš, DrSc is a distinguished academic at the Institute of Applied Informatics within the Faculty of Informatics at Pan-European University . He also teaches at the Faculty of Electrical Engineering and Information Technology (FEI STU) and has held visiting positions at the Faculty of Computer and Information Systems and Mathematics at Kingston University, UK. His career spans academia and industry, including roles at Tesla VRÚSE, Australian Telecommunications Research Centre, Siemens, and Sandbridge Technologies. Research Focus : Communication Theory, Coding Theory, and applications in information transfer, storage, and wireless systems. Key Contributions : Development of novel error-correcting codes (e.g., 5G LDPC codes, Reed-Solomon extensions), CRC polynomial design for E-DCH protocol, and multidimensional complementary codes. Publication Trends : Recent works emphasize coding theory advancements for 5G/LTE networks, multidimensional orthogonal codes for interference mitigation, and interdisciplinary applications of AI in democracy. His research bridges theoretical innovation with practical implementation in telecommunications. Scientific Awards : 2003: SIEMENS VIP recognition 2004: Werner von Siemens Excellence Award (with PhD student Matúš Turcsány) Advising & Grants : Supervised PhD students including Matúš Turcsány and collaborated with industry experts. Led EC-funded projects (NEXWAY, CRUISE, WINNER Phase II) and managed grants from VEGA, APVV, British Council, Royal Society, and DAAD. Labs & Collaborations : Active in the Institute of Applied Informatics at Pan-European University and contributed to projects with international institutions like Kingston University and SIEMENS PSE Slovakia.

Erhan A. İnceView profile

Professor

• Mobile Communications
• Channel Coding
• OFDM/OFDMA Techniques
• +4 more

Prof. Dr. Erhan A. İnce is a Professor at the Department of Electrical & Electronic Engineering, Eastern Mediterranean University (EMU). He holds a Ph.D. in Communications from Bradford University (1997) and has been at EMU since 1998, progressing through academic ranks from Assistant Professor (1998–2006) to Full Professor (2016–present). His research focuses on mobile communications, channel coding, OFDM techniques, and video/signal processing. He has supervised over 25 master's and doctoral students, including notable works on turbo codes, interference alignment, and image processing. Education: Bachelor's in Electrical Engineering, Bucknell University (1990) M.S. in Electrical Engineering, Bucknell University (1992) Ph.D. in Communications, Bradford University (1997) Research Interests: His work spans communications theory, signal processing, and multimedia applications. Key areas include turbo codes over fading channels, OFDM-based systems, facial recognition, and traffic surveillance using video analytics. Publications: Over 30 journal and conference papers in IEEE Transactions, Elsevier journals, and international conferences like CSDSP and EUSIPCO. Recent topics include blind interference alignment in cellular networks and tensor-based signal processing. Awards: Best Poster Award at CSDSP 1998. Service: Served as a reviewer for IEEE journals and conferences, and held administrative roles in EMU’s Faculty of Engineering, including Professor Representative (2018–present).

John P. PreskillView profile

Professor

• Quantum Computing
• Quantum Information Science
• Quantum Error Correction
• +4 more

John P. Preskill is the Richard P. Feynman Professor of Theoretical Physics at the California Institute of Technology (Caltech), holding the Allen V. C. Davis and Lenabelle Davis Leadership Chair at the Institute for Quantum Science and Technology. He has been a faculty member since 1983, progressing through ranks such as Associate Professor (1983–1990), MacArthur Professor (2002–2009), and Feynman Professor (2010–present). His leadership roles include Director of the Institute for Quantum Information and Matter (2014–present) and Director of the Center for the Physics of Information (2003–2011). Education : A.B. in Physics from Princeton University (1975), A.M. (1976), and Ph.D. (1980) from Harvard University. He was a Junior Fellow at Harvard Society of Fellows (1980–1981) before joining Caltech. Research Interests : Quantum information science , focusing on quantum computing, quantum error correction, and applications of quantum concepts to black hole physics and quantum gravity. His work bridges theoretical foundations and practical challenges in building scalable quantum systems. Recent projects include exploring fault-tolerant quantum architectures and quantum advantage in learning tasks. Recent Articles : Highlighted themes include post-NISQ era quantum computing (e.g., the 'Megaquop Machine'), quantum chaos applications in randomness conversion, and machine learning for quantum state prediction. His research often intersects with experimental quantum systems and foundational physics. Awards : John Stewart Bell Prize (2024), National Academy of Sciences membership (2014), and over 30 named lectureships globally. Grants/Outreach : Leadership in NSF Physics Frontiers Centers (IQIM), DOE Quantum Systems Accelerator, and public engagement via blogs like Quantum Frontiers and Quanta Magazine contributions. Labs/Teams : Co-founder and director of IQIM, fostering collaborations in quantum computing, quantum materials, and quantum gravity research. Active in AWS Center for Quantum Computing as an Amazon Scholar.

Michelle EffrosView profile

Professor

• Information Theory
• Data Compression
• Communications
• +6 more

Michelle Effros is the George Van Osdol Professor of Electrical Engineering and Vice Provost at the California Institute of Technology. She holds B.S., M.S., and Ph.D. degrees from Stanford University (1989–1994). Her research focuses on information theory, data compression, communications, theoretical neuroscience, and network coding. She founded the Caltech Data Compression Laboratory (1994) and co-founded Code On Technologies (2009–2016). Education: B.S. (with honors), Electrical Engineering, Stanford University, 1989 M.S., Electrical Engineering, Stanford University, 1990 Ph.D., Electrical Engineering, Stanford University, 1994 Research interests include information theory , data compression , neurostability , neuronal memory , and network coding . Her work spans source coding (data compression), channel coding (reliable communication), and the mathematical underpinnings of neural systems. Her publications explore topics like network coding reliability, finite-blocklength analysis, and secure multicast. Awards include IEEE Fellow, NSF CAREER Award, and Okawa Research Grant. She has served as Editor of the IEEE Information Theory Society Newsletter and President of the IEEE Information Theory Society. Grants and advising: While no student names are listed, her leadership roles in funding bodies like the NSF Advisory Committee reflect her influence on research directions. Labs include the Data Compression Laboratory.

• Spintronics
• Spin-caloritronics
• Spin-Hall Effect
• +9 more

Alexey Kovalev is an Associate Professor in the Department of Physics and Astronomy at the University of Nebraska . His research focuses on advanced topics in spintronics, quantum information theory, and magnetic materials. Spintronics Spin-caloritronics Quantum Computing Topological Insulators Magnetoelectric Memory Recent work includes studies on Majorana bound states, magnetic skyrmions, and spin superfluidity in antiferromagnets. He collaborates on quantum error correction codes and spin dynamics in chiral materials.

• Wireless Communications
• Optical Wireless Communications
• Free Space Optics
• +4 more

Горан Т. Ђорђевић је редовни професор на Електронском факултету Универзитета у Нишу од 2016. године, са академском каријером која почиње докторатом из телекомуникација 2005. године. Припада Катедри за телекомуникације, где води истраживачке активности у оквиру истраживачке групе за оптичке безжичне комуникације. Његова образовна позадина укључује: Докторат из телекомуникација (2005, Електронски факултет Ниш) Магистратуру из телекомуникација (1999, Електронски факултет Ниш) Диплому из електронике и телекомуникација (1996, Електронски факултет Ниш) Његова истраживања су фокусирана на безжичне комуникације , оптичке безжичне системе (FSO) и хибридне RF/FSO мреже . Посебну пажњу посвећује анализи перформанси у условима атмосферске турбуленције, кооперативном релајингу и адаптивним техникама модулације. Његов рад решава критичне изазове у поузданости комуникација у екстремним каналским условима, са применом у 5G/6G технологијама и сателитским комуникацијама. Анализа његових најновијих публикација (2015-2023) показује конзистентан фокус на FSO системе и хибридне архитектуре, са значајним доприносом у области вероватноће ишчезавања (outage probability) и грешака у фединг каналима. Објавио је преко 50 радова у IEEE часописима са високим Impact фактором, укључујући IEEE Transactions on Wireless Communications и IEEE Journal on Selected Areas in Communications. Његове научне награде укључују: Награду на 49. конференцији ЕТРАН (2005) за најбољи рад младих истраживача Награду на 51. конференцији ЕТРАН (2007) за најбољи рад младих истраживача Награду Теленор фондације 'Проф. др Илија Стојановић' за допринос у телекомуникацијама (2007) Награду Теленор фондације за најбољи стручни рад у међународним часописима (2015) Као ментор, водио је шест докторских дисертација и преко 50 дипломских радова. Тренутно је укључен у један национални и два интернационална пројекта, укључујући FP7 FET OPEN пројекат i-RISC и COST акције OPTICWISE, EUIMWP и NEWFOCUS. Води пројекат иновирања наставе финансиран од Министарства и ERASMUS+ пројекат ICT_EDUPAND. Као рецензент и гостујући уредник, значајно доприноси научној заједници кроз сарадњу са IEEE часописима и Applied Sciences. Води истраживачки тим на Електронском факултету у оквиру пројеката i-RISC и NORBAS, са посебним фокусом на развој FSO система и кооперативних мрежа. Његова лабораторијска истраживања укључују експерименталну верификацију теоријских модела под реалним условима атмосферске турбуленције.

T. Aaron GulliverView profile

Professor

• Wireless communications
• Information theory
• Cryptography
• +9 more

T. Aaron Gulliver is a Professor at the University of Victoria's Department of Electrical and Computer Engineering, holding the former Canada Research Chair in Advanced Wireless Communications (2007–2021). He earned his BSc and MSc from the University of New Brunswick and a PhD from the University of Victoria. His academic roles include membership in Engineers and Geoscientists BC and fellowships with the Engineering Institute of Canada (2002) and the Canadian Academy of Engineering (2012). His research spans wireless communications, information theory, cryptography, and signal processing, with a focus on error-correcting codes, cognitive radio, and IoT. Notable contributions include work on turbo codes, LDPC codes, and underwater acoustic systems. Gulliver has authored over 1,000 publications and actively contributes to conferences like the IEEE Pacific Rim Conference on Communications. His current teaching includes courses on Information Theory (ECE 515) and Error Control Coding (ECE 405/ECE 511). Awards include the British Columbia Advanced Systems Institute Research Fellowship (2000) and recognition for his work in green communications and network security. His research group explores cutting-edge topics like quantum field coding and AI-driven spectrum sensing.

• Computer Engineering
• Embedded Systems
• Image Processing
• +3 more

Kranitis Nektarios is a Lecturer at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His research focuses on FPGA-based hardware architectures, space-grade computing, and image compression standards like CCSDS, with applications in satellite systems and reliable data processing. Primary affiliation: National and Kapodistrian University of Athens Department: Informatics and Telecommunications Research interests center on space-grade SRAM FPGAs , LDPC encoding , hyperspectral image compression , and software-based self-test methodologies for embedded systems. His work addresses high-speed data processing and fault tolerance in satellite communications. Key trends in his publications include CCSDS standard implementations , hardware accelerators for image compression, resilience to SEUs , and energy-efficient testing techniques for microprocessors. Topics span space systems , parallel computing , and digital circuit design .

• Electronics
• Signal Processing
• Digital Education
• +3 more

Ola Jetlund is an Associate Professor at the Faculty of Technology, Art and Design, Department of Mechanical, Electrical and Chemical Engineering, Oslo Metropolitan University. His work focuses on electronics, signal processing, and digital education. Education: Doctor Engineer (PhD) in Electronics and Signal Processing Research Interests: Jetlund's research spans adaptive multimedia streaming, channel coding optimization, and digital pedagogy. He contributes to the ADvanced hEalth intelligence and brain-insPired Technologies (ADEPT) research group. Publication Trends: His recent works emphasize community-based digital teaching methods and historical contributions to adaptive coded modulation schemes for wireless networks. Administrative Roles: Currently serves as Head of Studies in Electronics and Electrical Engineering.