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Omer KhanView profile

Professor

• Computer Architecture
• Parallel Processing
• Graph Intelligence
• +4 more

Dr. Omer Khan is a Professor of Electrical and Computer Engineering at the University of Connecticut (UConn), leading the Computer Architecture Group (CAG) and serving as Associate Director of the Connecticut Advanced Computing Center (CACC). His research focuses on computer architectures for high-performance applications, particularly graph intelligence, parallel processing, and secure processors. He holds a PhD from the University of Massachusetts Amherst and a BSc from Michigan State University. Education: PhD in Electrical and Computer Engineering, University of Massachusetts Amherst, 2009 BSc in Electrical and Computer Engineering, Michigan State University, 2000 Research Interests: Dr. Khan’s work addresses computational challenges in artificial intelligence, particularly graph-based data and multi-objective optimization. He develops architectures that exploit sparsity and parallelism to accelerate graph neural networks, secure processors against side-channel attacks, and ensure resilience in large-scale multicores. His research includes hardware-software co-design for thermal management, confidential computing, and algorithm-architecture co-optimization. Publications: His recent work spans parallel algorithms for graph intelligence (e.g., OPMOS, PruneGNN), secure multicore architectures (IRONHIDE, SSE), and GPU acceleration for GNN training. These contributions highlight advancements in efficiency, security, and scalability of modern computing systems. Awards & Grants: Principal Investigator of an NSF REU Site on Trustable Embedded Systems Security (2021–2025). His work has been supported by grants from NSF and industry partnerships. Advising & Mentoring: Guided over 20 graduate and undergraduate researchers, many of whom have secured roles at top tech firms (e.g., Qualcomm, Meta) or pursued advanced degrees at prestigious institutions. Labs & Teams: Leads the CAG at UConn, collaborating with industry and academic partners to advance next-generation computer architectures.

• Internet of Things
• Network Security
• 5G/6G Networks
• +3 more

Pablo Benlloch-Caballero serves as a Research Fellow at the School of Computing, Engineering and Physical Sciences, specializing in next-generation network security and intelligent infrastructure systems. His core research domains include: Internet of Things (IoT) security architectures for 5G/6G networks Distributed Denial of Service (DDoS) attack mitigation through autonomous closed-loop systems AI-driven environmental optimization in edge computing environments Topology-aware cognitive frameworks for real-time incident response Analysis of his 2023-2025 publications reveals a concentrated research trajectory toward self-protecting network infrastructures that integrate machine learning with multi-tenant 5G ecosystems, alongside innovative applications of transformer models for carbon emission reduction in autonomous transportation systems. No scientific awards were documented in the source material. Details regarding student supervision, research grants, or laboratory facilities remain unspecified in the available profile information.

Andrea DettiView profile

Professor

• Computer Networks
• Information-Centric Networking (ICN)
• Cloud Computing
• +3 more

Andrea Detti is a Professor at the Department of Electronic Engineering, University of Rome Tor Vergata. His research focuses on computer networks, particularly Information-Centric Networking (ICN), Cloud Computing, and Software Defined Networks (SDN). He has coordinated major EU projects like Fed4IoT and BONVOYAGE, addressing IoT and Intelligent Transport Systems. He serves as Associate Editor for IEEE Transaction on Network and Service Management and has guest-edited special issues on ICN. His teaching includes courses on Internet Technologies, Mobile Wireless Networks, and Cloud Computing, emphasizing hands-on labs with Linux, Cisco routers, and OpenStack. Key projects include leadership roles in EU initiatives such as ICN2020, GreenICN (energy-efficient ICN), and OFELIA (ICN over SDN). He coordinates industrial projects with Telecom Italia and SSI/Finmeccanica on publish-subscribe paradigms in MANET and DTN. His research spans ICN scalability, adaptive video streaming, and satellite communication optimizations. Publications (80+) cover ICN architecture, SDN integration, and network performance modeling. He actively participates in conferences and standardization efforts, contributing to the evolution of future Internet architectures.

• In-Memory Computing
• AI Hardware Acceleration
• Edge Computing
• +5 more

Shaahin Angizi is an Assistant Professor in the Department of Electrical and Computer Engineering at the New Jersey Institute of Technology (NJIT). His research focuses on next-generation computing systems, emphasizing energy-efficient architectures, in-memory computing, and secure AI hardware. He leads multiple National Science Foundation (NSF)-funded projects, including initiatives on robotic vision systems, in-cache AI acceleration, and edge computing. His work spans hardware security, emerging memory technologies, and interdisciplinary applications of AI in healthcare and IoT. Notable projects include developing secure imaging sensors (SenGuard/iSEW), adversarial attack defenses for neural networks, and AI-driven accelerator design automation using large language models (LLM-IMC/TPU-Gen). Angizi has authored over 136 publications and secured 4 active NSF grants between 2022-2027. His research bridges device-level innovations (e.g., magnetoelectric FETs) with system-level designs, aiming to reduce computational carbon footprint while enhancing reliability. Key Projects: Infrared Retinomorphic Vision (2024-2027) Toward Opportunistic In-Cache AI Acceleration (2023-2025) Integrated Sensing & Normally-off Computing (2022-2026) Research Themes: Processing-in-Memory Architectures Edge Intelligence Hardware Hardware Security & Trust Non-Volatile Memory Systems Angizi’s contributions include pioneering sensor-embedded watermarking (iSEW), adversarial attack analysis on LLMs, and energy-efficient in-sensor processing frameworks (PISA/HyperSense). His work frequently explores synergies between photonics, analog computing, and AI to create sustainable high-performance systems.

• Nanoporous metals
• Electrochemical biosensors
• Multifunctional neural interfaces
• +6 more

Erkin Şeker, Ph.D. , is a Professor in the Department of Electrical and Computer Engineering at the University of California, Davis, where he also serves as Co-Director of the Center for Neuroengineering and Medicine and Chair of the Designated Emphasis in Neuroengineering . His research integrates micro- and nanofabrication, electrochemical biosensors, multifunctional neural interfaces, and microfluidic tissue chips to address challenges in healthcare and life-science miniaturization. Education: Ph.D. in Electrical Engineering, University of Virginia (2007) Research Interests Prof. Şeker’s group operates at the intersection of nanoporous metals , microfluidics , and device engineering . Current thrusts include: Nanostructured electrochemical biosensors for nucleic-acid detection in food safety, water quality, and medical diagnostics. Multifunctional biomedical device coatings that combine neural recording with on-demand drug delivery to combat epilepsy and other neurological disorders. Nanoporous metal morphology libraries for high-throughput investigation of structure–property relationships. Microphysiological models of neuroinflammation and gut–brain-axis interactions using tri-culture tissue chips. Publication Trends Over the past decade the group has produced >80 peer-reviewed articles spanning Analytical Chemistry , ACS Applied Materials & Interfaces , Advanced Functional Materials , Lab on a Chip , and Journal of Neuroinflammation . The work reveals a clear trajectory from fundamental studies of nanoporous gold mechanics and surface chemistry to translational applications in closed-loop neural control, nucleic-acid diagnostics, and tissue-level disease models. Scientific Awards & Honors NSF CAREER Award NIH NIBIB Trailblazer Award UC Davis Academic Senate Distinguished Graduate and Professional Teaching Award UC Davis Graduate Studies Distinguished Graduate and Postdoctoral Mentorship Award BMES Cellular & Molecular Bioengineering Young Innovator Next Level Research Award (College of Engineering) Fund for Medical Discovery Award (Massachusetts General Hospital) Elevation to IEEE Senior Member Advising & Funding Prof. Şeker has mentored >25 Ph.D. and M.S. students and numerous undergraduates. Active funding includes NSF, NIH (NIBIB, NINDS, NIA, NCCIH), USDA-NIFA, UC Lab Fees, and industry partnerships totaling several million dollars. He is PI or Co-PI on grants such as: "NeuralStorm: Taking Neuroengineering by Storm" (NSF NRT) "Closed-Loop Electro-Fermentation…" (USDA-NIFA) "Next-Generation Neural Interfaces Based on Axonal Confinement…" (NIH NIBIB Trailblazer) "A Scalable Primary Cortical Tri-Culture Model…" (NIH R03) Labs & Teams He directs the Şeker Research Group , a multidisciplinary team of graduate students, post-docs, and undergraduates housed in the UC Davis College of Engineering. Shared resources include College clean-room facilities, the Center for Neuroengineering and Medicine, and collaborative ties with the UC Davis Alzheimer’s Disease Research Center, Comprehensive Cancer Center, and Environmental Health Sciences Center.

• Computer Architecture
• GPU Systems
• Accelerators for Machine Learning
• +4 more

Jose Luis Abellan Miguel is a Ramón y Cajal Fellow and Tenure-Track Associate Professor at the University of Murcia's Department of Computer Engineering and Technology. He leads the EcoArTech team and is a European R3 researcher. Previously, he held roles at the University of Ferrara, Boston University, and Universidad Católica de Murcia. His research focuses on GPU architectures, accelerators for machine learning, and privacy-preserving computing, particularly Fully Homomorphic Encryption (FHE). He has authored over 70 peer-reviewed publications and contributed to conferences like ISCA, HPCA, and MICRO. Education: Bachelor's, Master's, and PhD in Computer Science and Engineering (University of Murcia, 2007–2012) Research Interests: Abellan's work emphasizes architectural enhancements for GPU systems, customized accelerators for ML and FHE, and efficient synchronization/communication in many-core architectures. His contributions include tools like MGPU-Sim and STONNE for simulation, and frameworks like FIDESlib for FHE on GPUs. Recognition: HiPEAC Paper Awards (2011, 2019–2024) Top Picks in Hardware and Embedded Security 2024 European R3 Certificate (2024) Editorial roles at ACM TACO and Frontiers in Electronics Grants & Leadership: Recipient of a Ramón y Cajal fellowship and a Consolidación Investigadora grant. He chairs sessions at conferences like ISPASS and serves on TPCs for venues including DATE, HPCA, and MICRO. His lab collaborates with institutions like Georgia Tech, Northeastern University, and Intel. Labs/Teams: He leads the EcoArTech team, focusing on next-gen computing systems via architectural simulators. Collaborators include researchers from MIT, Boston University, and industry partners like NVIDIA and Intel.

Minxuan ZhouView profile

Assistant Professor

• Systems
• High Performance Computing
• Parallel Computing
• +5 more

Minxuan Zhou is an Assistant Professor of Computer Science at Illinois Institute of Technology. His research focuses on systems, high-performance computing, and parallel computing with an emphasis on processing-in-memory (PIM) acceleration, fully homomorphic encryption (FHE), and hyperdimensional computing. He holds a Ph.D. and M.S. in Computer Science from the University of California San Diego, and a B.S. in Computer Science and Technology from Beihang University. His work spans hardware-software co-design, cryptographic acceleration, and energy-efficient computing systems. Research Interests Processing-in-Memory (PIM) architectures for accelerating machine learning and graph processing Hardware acceleration for secure computation (FHE) Hyperdimensional computing frameworks for edge AI Thermal-aware design and memory optimization in 3D systems Recent Research Trends Recent publications emphasize co-optimization techniques for PIM architectures, FHE hardware acceleration, and privacy-preserving machine learning. His work often bridges theoretical algorithm design with practical hardware implementations using novel memory technologies like ReRAM and 3D-stacked memory. Grants & Labs Engaged in cutting-edge research through collaborations on projects involving PIM accelerators and encrypted computation systems. His lab focuses on developing full-stack solutions for next-generation computing architectures.

• Cryptography
• Wireless Network Security
• Systems Engineering
• +3 more

Ayda Basyouni is a Senior Lecturer and Graduate Program Director (MEng) at the Concordia Institute for Information Systems Engineering (CIISE), Concordia University. She holds a Ph.D. (2008) in Electrical and Computer Engineering from Concordia University, an M.Sc. (1997) in Electrical and Computer Engineering from Queen's University, and a B.Sc. (1990) in Electronics and Communication Engineering from Cairo University. Her teaching focuses on advanced topics in cybersecurity, systems engineering, and quality assurance. Courses include Foundations of Cryptography , Wireless Network Security , and Principles of Systems Engineering , among others. She has consistently taught these courses over multiple academic terms since 2013, demonstrating expertise in both theoretical and applied aspects of information systems engineering. Ayda’s research and teaching interests span cryptography, network security, and quality-based project management. Her academic role as Graduate Program Director reflects her commitment to shaping the next generation of engineers in these critical fields.

Riaz Ahmed ShaikhView profile

Associate Professor

• Privacy
• Security
• Trust Management
• +7 more

Riaz Ahmed Shaikh is an Associate Professor in Computing Sciences at the University of East Anglia (UEA), affiliated with the School of Computing Sciences and the Cyber Intelligence and Networks research group. He holds a PhD from Kyung Hee University (2009) and completed a Postdoc at Université du Québec en Outaouais (2009-2012). Previously, he served as an Assistant and Associate Professor at King Abdulaziz University (2012-2022). His expertise spans Privacy, Security, Trust Management, Policy Validation, and IoT/VANET systems, with contributions to UN Sustainable Development Goals in education and technology. Education: Postgraduate Certificate in Higher Education Practice, University of East Anglia (2024) PhD in Computing Sciences, Kyung Hee University (2009) Research Interests: Dr. Shaikh focuses on securing next-generation networks, including IoT, IoMT, and vehicular systems. His work emphasizes trust management frameworks, intrusion detection, and privacy-preserving protocols. Recent projects include AI-driven anomaly detection and fog computing-based DDoS mitigation. He also explores authentication schemes and policy validation in distributed systems. Grants & Collaborations: Lead on Innovate UK-funded projects: SPARC (Connected Vehicles Security, 2025-2025) and AI-driven Medical IoT Trust Management (2024-2025) Collaborations across Europe, Asia, and North America in cybersecurity and networking Labs & Teams: Active member of the Cyber Intelligence and Networks group at UEA, leading efforts in secure IoT and vehicular systems. Engages in conference organization (e.g., Ambient Computing conferences) and peer-review roles for journals like IEEE Transactions on Consumer Electronics.

Simon MoxonView profile

Associate Professor

• Bioinformatics
• Gene Regulation
• Next-Generation Sequencing
• +3 more

Simon Moxon is an Associate Professor in Bioinformatics at the University of East Anglia (UEA), part of the School of Biological Sciences. His research focuses on applying next-generation sequencing (NGS) technologies to study biological problems, particularly small RNA bioinformatics and mechanisms of gene regulation at transcriptional and post-transcriptional levels. He has developed tools like miRCat2 and the UEA sRNA Workbench for miRNA detection and analysis. Notable collaborations include projects funded by the British Heart Foundation, NIH, and the Natural Environment Research Council, exploring topics such as chromatin landscapes, microRNA biogenesis, and epigenetic reprogramming. His work spans plant genomics, developmental biology, and molecular mechanisms in diseases like cancer. Recent publications highlight advancements in understanding miRNA regulation in plants and animals, epigenetic marks during zygotic reprogramming, and antimicrobial resistance in Bacillus species. Moxon actively mentors PhD students and contributes to editorial roles in journals like Frontiers in Molecular Biosciences.

• Chromatin Regulation
• Stem Cell Biology
• Epigenetics
• +3 more

Thomas Fazzio is a Professor at the University of Massachusetts Chan Medical School, affiliated with the T.H. Chan School of Medicine and multiple departments including Molecular, Cell and Cancer Biology, Biochemistry and Molecular Biotechnology, and Systems Biology. He holds additional roles in graduate programs at the Morningside Graduate School of Biomedical Sciences. His research focuses on chromatin regulation in stem cells, cancer biology, and developmental epigenetics. Education and Training: B.S. in Biology, University of Utah (1997) Ph.D. in Molecular & Cellular Biology, University of Washington and Fred Hutchinson Cancer Research Center (2004) Postdoctoral work at University of California, San Francisco (2004–2010) Research Interests: Thomas's lab investigates how chromatin structure influences gene expression and cell fate in embryonic and cancer stem cells. Key projects include studying the Tip60-p400 chromatin remodeling complex, chromatin dynamics during differentiation, and epigenetic mechanisms in cancer stem cells. Techniques used include molecular biology, genomics, and systems-level approaches. Publications: His recent work highlights novel insights into chromatin packaging in sperm (2023), EZH2 inhibition in pancreatic cancer (2023), and EXOC2's role in ALS/FTD (2024). Research trends emphasize multi-omics profiling and epigenetic regulation in disease contexts. Awards: Jane Coffin Childs Memorial Fund Fellowship (Postdoctoral) NIH Pathway to Independence Award Advising & Labs: Offers rotation projects on chromatin regulators, Tip60-p400 mechanisms, and cancer stem cells. Active postdoc positions are available. Collaborations include work with Oliver Rando and Lihua Zhu on chromatin profiling techniques. Labs/Teams: His lab integrates computational and experimental approaches to study dynamic chromatin landscapes, with a focus on translational applications in cancer and regenerative medicine.

• Wireless Communications
• Signal Processing
• Machine Learning
• +3 more

Hongliang Zhang is a faculty member at Peking University, School of Electronics , specializing in wireless communications and next-generation networks. His work spans reconfigurable intelligent surfaces (RIS), holographic MIMO, and meta-material-based sensing. Research Focus: 6G wireless systems, integrated sensing and communication (ISAC), beamforming optimization, and anti-jamming techniques. Recent Trends: Integration of large language models in aerial edge computing, generative AI for radio map benchmarks, and security frameworks for vehicular metaverses.

• Cybersecurity
• Data Security
• Reinforcement Learning
• +4 more

Akram Y. Sarhan is a prolific researcher with a focus on cybersecurity , data security , and algorithm design for communication and logistics systems. He has published extensively in PeerJ Comput. Sci. and IEEE Access , addressing challenges in privacy-preserving protocols , blockchain applications , and secure data dissemination under constraints. Key research areas include reinforcement learning , network security , and decentralized systems . His work spans crisis response data management , drone logistics optimization , and blockchain-based identity solutions . Notable trends in his publications involve secure communication protocols for RIS-enabled systems, agent-based health passport frameworks , and heuristic scheduling algorithms for warehouses and networks.

• Microwave Semiconductor Device Modeling
• RF Modeling
• Electromagnetic Simulation
• +3 more

Peter H. Aaen is a Reader in Microwave Semiconductor Device Modeling at the University of Surrey, with expertise in RF and microwave device modeling and characterization. His work focuses on developing advanced methodologies for high-power and high-frequency electronic devices, with applications in telecommunications and quantum technologies. Dr. Aaen received his B.A.Sc. in Engineering Science and M.A.Sc. in Electrical Engineering from the University of Toronto, Canada, and his Ph.D. in Electrical Engineering from Arizona State University, USA, in 1995, 1997, and 2005 respectively. Prior to joining the University of Surrey, he was the manager of the RF Modeling and Measurement Technology team at Freescale Semiconductor Inc (formerly Motorola Inc.), bringing significant industry experience to his academic work. Dr. Aaen's research spans several critical areas in microwave engineering, with a particular emphasis on developing multi-physics based modeling methodologies for high-power and high-frequency electronic devices. His expertise includes calibration techniques for microwave measurements, package modeling, development of compact models for microwave power transistors and RFICs, and efficient electromagnetic simulation methodologies for complex packaged environments. He has made significant contributions to understanding frequency dispersion in RF LDMOS transistors, electro-thermal modeling, and the development of measurement techniques for extreme impedance devices. His publication record demonstrates a clear progression from fundamental device modeling to advanced measurement techniques and applications in next-generation communications systems. Recent work has focused on multiphysics measurements, electro-optic field imaging, and the application of nanowire technologies to microwave switches, reflecting the evolving challenges in 5G and beyond communications infrastructure. Dr. Aaen is a Senior Member of the IEEE and active in several technical committees including the IEEE Technical Committee (MTT-1) on Computer-Aided Design, the technical program committee of the IEEE Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), and the executive committee of the Automatic RF Techniques Group (ARFTG). Dr. Aaen has supervised numerous PhD students whose research has advanced the field of microwave engineering, particularly in areas related to measurement uncertainty, multiphysics characterization of high-power transistors, and nanoscale device integration. His collaborative work spans multiple institutions and has resulted in significant advancements in understanding device behavior under complex operating conditions. His laboratory work focuses on developing novel measurement techniques that combine electro-optic systems with nonlinear vector network analyzers and load-pull measurement systems, enabling unprecedented visualization of electromagnetic field distributions within operating transistors. This work has led to breakthroughs in understanding oscillation mechanisms and thermal behavior in high-power devices.

Shuminoski TomislavView profile

Researcher

• Telecommunications
• Wireless Networks
• Cybersecurity
• +6 more

Shuminoski Tomislav is a researcher at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, North Macedonia. He holds a PhD in Electrical Engineering and Information Technologies (2016) with a dissertation on 5G QoS mechanisms and vertical multi-homing. His academic background includes a Master’s (2010) and Bachelor’s (2008) in Telecommunication, both with perfect grades. He specializes in telecommunications, cybersecurity, and next-generation mobile networks, focusing on QoS optimization, 5G infrastructure, and secure communication frameworks. Education: PhD, 2016: Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies (Dissertation: “QoS Mechanisms and Vertical multi-homing for 5G Mobile and Wireless Networks”) M.Sc., 2010: Telecommunication, Module: Communication and Information Technologies B.Sc., 2008: Telecommunication Research Interests: His work spans 5G networks, mobile edge computing, cybersecurity, IoT security, QoS provisioning, and blockchain applications in cloud computing. He emphasizes practical implementations of theoretical models in real-world scenarios, such as emergency response systems and ultra-reliable low-latency communication. Publications: Over 30 peer-reviewed articles since 2009, including innovative papers on 5G frameworks, secure communication platforms, and steganographic techniques. Recent work focuses on AI-driven resource allocation and quantum-resistant cryptography for IoT. Awards/Grants: No specific awards mentioned, but active in collaborative industry projects on network security and cloud infrastructure. Labs/Teams: Associated with the Telecommunications Institute at FEIT, contributing to research on wireless networks and critical infrastructure systems.