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Petru Florin MihanceaView profile

Associate Professor

• Software Engineering
• Formal Verification and Testing
• Object-Oriented Design
• +5 more

Petru Florin Mihancea is an Associate Professor at the Department of Computers, Faculty of Automation and Computers, Politehnica University of Timisoara. He holds a Dr. Eng. degree and is responsible for teaching Object-Oriented Programming and Software Engineering Fundamentals courses. Dr. Mihancea graduated from "Emanuil Gojdu" Highschool in Oradea, Romania in 1998 and began his software engineering studies at the Politehnica University of Timisoara the same year. In 2002, he won the "Best Software Engineer" award at the first LOOSE competition, which led to him joining the LOOSE Research Group. He defended his Ph.D. Thesis titled "A Novel Client-Driven Perspective on Class Hierarchy Understanding and Quality Assessment" with "Cum Laude" honors in 2009 under the supervision of Dr. Eng. Ioan JURCA. His primary research interests focus on software engineering, particularly in software quality assessment, program analysis, formal verification and testing, object-oriented design, and software maintenance and evolution. Dr. Mihancea has developed various code analysis tools that have been integrated into industrial products, demonstrating the practical impact of his research. His work often bridges the gap between theoretical research and practical applications in software development. Analysis of Dr. Mihancea's recent publications reveals a consistent focus on software quality assessment and program analysis. His research spans from fundamental aspects of object-oriented design to practical tools for detecting code issues and improving software security. A notable trend is his work on creating extensions for commercial analysis tools like CodeSonar and BTC EmbeddedPlatform, showing how his research directly contributes to industry practices. His publications also demonstrate expertise in both theoretical aspects of software engineering and practical tool development. Best Software Engineer award at the first LOOSE competition Dr. Mihancea has been involved in various research projects throughout his career. Notably, as a member of the eAustria Research Institute, he participated in the Spacios project, developing tools for verification of security properties of web applications. He has also worked on hardware research projects, developing tools for circuit customization and generation. His current research focuses on methods and tools for continuous quality assurance in complex software systems. He has collaborated with industry partners to develop code analysis products for automatic detection of potential bugs, demonstrating the practical impact of his research. His work has been acknowledged by PostgreSQL leaders for its contribution to their system. Dr. Mihancea is affiliated with the LOOSE Research Group and has been involved with the eAustria Research Institute. His work often involves developing analysis instruments and program investigation techniques, with several of his research activities being integrated into industrial products.

• Quantum Computing
• Quantum Error Correction
• Belief Propagation Decoding
• +3 more

Dr. Kao-Yueh Kuo is a Researcher at the University of Sheffield's School of Mathematical and Physical Sciences, affiliated with the Inorganic Semiconductors Research Cluster. His work focuses on quantum error correction, decoding algorithms, and fault-tolerant quantum systems. He investigates advanced methods like belief propagation and quantum approximate optimization to enhance quantum code performance under realistic noise models. Key research interests include: Design and analysis of quantum error-correcting codes Efficient decoding strategies for topological and LDPC codes Integration of coding theory into quantum communication networks Algorithm optimization for fault-tolerant quantum memory systems Recent publications emphasize decoding algorithm improvements, with notable contributions to: Generalized data-syndrome codes Exploitation of degeneracy in quantum codes Fault-tolerant belief propagation systems Comparison of 2D topological code performance No scientific awards are explicitly listed in the provided information. Labs/Teams: Active contributor to the Inorganic Semiconductors Research Cluster, focusing on quantum information and materials science intersections.

• Federated Learning
• Privacy-Preserving Computing
• Cryptography
• +3 more

Marvin Xhemrishi is a Researcher and PhD Candidate at the Technical University of Munich (TUM), affiliated with the Institute for Communications Engineering. He holds a M.Sc. in Communications Engineering (high distinction, TUM 2019) and a B.Sc. in Telecommunications Engineering from the Polytechnik University of Tirana (2017). His research focuses on federated learning security, privacy-preserving computing, and distributed systems. He has conducted visiting research at Chalmers University of Technology and AI Sweden (2022-2023). His work addresses challenges in secure aggregation, malicious client detection, and sparsity-privacy trade-offs in distributed computing frameworks. He contributes to advancements in coded computing, cryptography applications in machine learning, and hardware security through Physical Unclonable Functions (PUFs). Key research directions include federated learning security (e.g., FedGT framework for malicious client identification), privacy-preserving distributed algorithms, and cryptographic techniques for communication systems. His publications span IEEE Transactions, international symposia, and workshops, with recent focus on group testing applications in federated learning and secure distributed matrix operations.

Zhiyuan YanView profile

Professor

• Coding Theory
• Wireless Communications
• VLSI Design
• +4 more

Zhiyuan Yan is a Professor and Associate Chair in the Department of Electrical and Computer Engineering at Lehigh University. He holds a B.E. from Tsinghua University and M.S./Ph.D. degrees from the University of Illinois at Urbana-Champaign. His research focuses on coding theory, VLSI design, wireless communications, and embedded systems. He is a Senior Member of the IEEE and received the NSF CAREER Award in 2011. Educational Background: B.E., Electrical Engineering, Tsinghua University M.S., Electrical Engineering, University of Illinois at Urbana-Champaign Ph.D., Electrical Engineering, University of Illinois at Urbana-Champaign Research Interests: His work spans coding theory (including polar codes and LDPC codes), VLSI implementations for communication systems, and cybersecurity through physical unclonable functions (PUF). He explores neuromorphic computing, memristive neural networks, and hardware-efficient error correction techniques. His contributions include efficient decoder architectures and distributed storage solutions. Scientific Awards: 2011: NSF CAREER Award Advising & Grants: While specific student names aren't listed, his research has been supported by multiple grants. His lab focuses on collaborative projects between academia and industry, emphasizing practical implementations of theoretical advancements. Lab & Teams: His research team develops cutting-edge VLSI systems, neural network accelerators, and secure communication protocols. Collaborations include work on memristive hardware and neuromorphic computing architectures.

Chris WinsteadView profile

Associate Professor

• Error Correction Algorithms
• Probabilistic Logic
• Neuromorphic Circuits
• +3 more

Chris Winstead is an Associate Professor in the Department of Electrical and Computer Engineering at Utah State University. His research focuses on error correction algorithms, probabilistic logic systems, and neuromorphic hardware design. He has mentored over 15 graduate students and received significant recognition including an NSF Career Award. Dr. Winstead's research spans hardware security, stochastic computing, and communication systems. His work integrates theoretical frameworks with practical implementations for low-power and fault-tolerant systems. Recent publications demonstrate applications in autonomous vehicle security, biological circuit modeling, and probabilistic computing architectures. Honors include the 2014 Fulbright Research Scholarship and 2010 NSF Career Award. He leads research on noise-enhanced computing methods and maintains collaborations in stochastic algorithm development. Current projects investigate adversarial resilience in cyber-physical systems and hardware acceleration for probabilistic decoders.

Julia LiebView profile

Assistant Professor

• Coding Theory
• Cryptography
• Discrete Mathematics
• +3 more

Jun.-Prof. Julia Lieb is an Assistant Professor and Head of the Discrete Mathematics Group at TU Ilmenau since September 2023. She holds a PhD in mathematics from the University of Würzburg (2017), with a dissertation focusing on polynomial matrices in coding theory and discrete-time linear systems. Her postdoctoral research included DFG-funded projects at the University of Aveiro (Portugal) and the University of Zurich, followed by a substitute professorship in discrete mathematics at the University of Passau. Her research focuses on coding theory, particularly convolutional codes, quasi-cyclic codes, and LDPC codes, with applications in error-correction for data transmission and post-quantum cryptography. She explores connections between coding theory and discrete-time linear systems, aiming to develop advanced code constructions and decoding algorithms. Current affiliations include leading the Discrete Mathematics Group at TU Ilmenau, where her work bridges theoretical foundations in algebra and discrete mathematics with practical applications in cryptography and communication systems.

Luiz ANET NETOView profile

Professor

• Optical Communications
• Telecommunications Networks
• Fiber Optics
• +7 more

Luiz ANET NETO is a Professor in the Département Optique at IMT Atlantique, a leading technological university within the Institut Mines-Télécom network. His research focuses on advanced optical communications, telecommunications networks, and network architecture innovations, particularly in areas like 5G integration, passive optical networks (PON), and software-defined networking (SDN). He has contributed extensively to optimizing high-speed data transmission systems, including work on wavelength-division multiplexing (WDM), cost-effective transceivers, and machine learning-driven network modeling. His projects often bridge theoretical advancements with practical implementations, addressing challenges in optical access networks, fiber optics, and mobile network convergence. Recent efforts emphasize reconfigurable architectures for bidirectional access networks and the integration of SDN for enhanced network flexibility and security. Key areas of research include: High-speed optical transmission systems (up to 200 Gbps) Optimizing PON technologies for 5G fronthaul/backhaul Machine learning applications in fiber optics and network modeling SDN-enabled network slicing for 5G environments His publications highlight trends in ultra-high-speed PONs, low-complexity decoding algorithms, and the synergy between optical and wireless systems. Collaborations often involve industry partners to ensure practical relevance, such as developing cost-effective 50G ONU solutions or analyzing real-time performance of optical access platforms. Despite no explicitly listed awards or students, his contributions are reflected in numerous peer-reviewed journals and conference proceedings.

Mary WoottersView profile

Associate Professor

• Error-Correcting Codes
• Randomized Algorithms
• Information Theory
• +6 more

Mary Wootters is an Associate Professor of Computer Science and Electrical Engineering at Stanford University. She holds joint appointments in both departments and is a member of the Institute for Computational and Mathematical Engineering (ICME). Her research focuses on theoretical computer science, information theory, and applied mathematics, with an emphasis on error-correcting codes, randomized algorithms, and data processing techniques. She earned her Ph.D. in Mathematics from the University of Michigan (2014) and a B.A. in Math and Computer Science from Swarthmore College (2008), followed by an NSF postdoctoral fellowship at Carnegie Mellon University (2014–2016). Her research interests include error-correcting codes , randomized algorithms , and dimension reduction , with applications to data storage , nano-engineering , and high-dimensional signal processing . Notable contributions include advancements in LDPC codes , Reed-Solomon codes , and robust gray codes . She also explores quantum LDPC codes and nanopore-based DNA storage systems . Dr. Wootters has been recognized with prestigious awards, including the NSF CAREER Award , PECASE Award , Sloan Research Fellowship (2019) , and the IEEE Information Theory Society Goldsmith Lecturer (2024). Her work bridges theoretical foundations and practical applications, addressing challenges in coding theory and data reliability. Her advising spans multiple PhD students and postdoctoral scholars, including notable alumni like Reyna Hulett and Shashwat Silas. She teaches advanced courses such as Algebraic Error Correcting Codes and Randomized Algorithms , and actively contributes to interdisciplinary research through grants like the NSF-BSF on coding theory and pseudorandomness.

• 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.

• 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.

Ramesh PyndiahView profile

Professor

• Digital Communications
• Channel Coding
• Turbo Codes
• +7 more

Ramesh Pyndiah is a Professor at IMT Atlantique's Microwave Optics (OPT) Department, a leading institution in digital communications research. With over 30 journal papers and 100 conference publications, his work focuses on advanced channel coding techniques, particularly block turbo codes, Reed-Solomon codes, and joint source-channel coding. Research Interests : Digital communications, turbo coding, joint source-channel coding, OFDM, wireless sensor networks, optical wireless systems. Leadership : Director of Research & Innovation at IMT Atlantique, Deputy Director of COMIN Labs (2014-2017), Chair of IEEE ComSoc France Chapter (2000-2014). His research trends show a strong emphasis on error correction for high-efficiency wireless and optical systems, with recent work on LDPC codes , network coding , and low-complexity decoding . He has supervised 17 PhD students in areas like video coding, UWB systems, and DNA-inspired coding. Awards : 2001 SEE Blondel Medal, IEEE Senior Membership (2001), leadership roles in ICC, Globecom, and Turbo Code symposia. Patents : 17 innovations in high-frequency mixers, phase shifters, and error correction coding.

• 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.