جست‌وجوی استاد و پژوهشگر

Harshvardhan Takawaleمشاهده پروفایل

پژوهشگر

• Wearable Sensing
• Acoustics
• Multimodal Imaging
• +۷ مورد دیگر

Harshvardhan Takawale is a third-year Computer Science PhD student at the University of Maryland College Park, affiliated with the iCoSMoS Lab under Prof. Nirupam Roy. He has previously worked as a Lead Researcher at Silence Laboratories Singapore and interned at Nokia Bell Labs UK and Cambridge. Education: B.E. in Computer Science from BITS Pilani (2020), currently pursuing PhD at UMD. Research Interests: Focus on enabling acoustic and RF sensing on low-power wearable platforms, gesture/micro-motion detection for smart environments, and physics-informed ML for context-aware systems. His work bridges hardware constraints with advanced inference for ubiquitous healthcare and mobility services. Recent Publications: Contributions to wearable interfaces (Scribe), auditory attention detection on earables, and low-power acoustic event sensing highlight his expertise in multimodal systems and signal processing. Earlier works span cybersecurity (malware detection), NoC fault tolerance, and continuous authentication. Scientific Awards: Dean's Fellowship at UMD Computer Science (2022, 2023). Roles & Projects: Interned at Nokia Bell Labs on earable-based attention detection; led Silence Laboratories' projects on co-location authentication (>92% accuracy) and landmark extraction for proof-of-visit. Also served as Publicity Chair for HumanSys 2024.

• Quantum Electrodynamics
• Computational Electromagnetics
• Multiscale Modeling
• +۳ مورد دیگر

Thomas Roth is an Assistant Professor of Electrical and Computer Engineering at Purdue University , specifically within the Elmore Family School of Electrical and Computer Engineering . His research focuses on quantum and classical electromagnetic systems, with expertise in multiscale modeling and applied electromagnetics. He holds a Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign (2020), following B.S. and M.S. degrees from Missouri University of Science & Technology and Illinois, respectively. Education: B.S. in Electrical Engineering, Missouri University of Science & Technology, 2015 B.S. in Computer Engineering, Missouri University of Science & Technology, 2015 M.S. in Electrical Engineering, University of Illinois at Urbana-Champaign, 2017 Ph.D. in Electrical Engineering, University of Illinois at Urbana-Champaign, 2020 Research Interests: Roth’s work bridges quantum mechanics and electromagnetic theory, emphasizing computational methods for superconducting circuits and quantum devices. His lab develops numerical frameworks for modeling transmon qubits, Josephson parametric amplifiers, and multiphysics systems. Recent efforts include analytical solutions for multi-qubit interactions and robust finite-element methods for quantum systems. Publications: His 2024-2025 work highlights advancements in quantum full-wave solutions, parametric amplifiers, and hybrid modeling techniques. Key themes include improving numerical stability for quantum systems and exploring dielectric loading for optical qubits. Awards/Grants: No specific awards listed, but his work aligns with emerging quantum engineering priorities at Purdue. Lab/Teams: His research group focuses on computational quantum electromagnetics, collaborating on projects involving superconducting circuits and quantum device optimization.

Justin Rombergمشاهده پروفایل

استاد

• Signal Processing
• Machine Learning
• Optimization
• +۳ مورد دیگر

Justin Romberg is the Schlumberger Professor and Associate Chair for Research in the School of Electrical and Computer Engineering at Georgia Tech, and serves as Associate Director for the Center for Machine Learning. He holds a B.S.E.E., M.S., and Ph.D. from Rice University, followed by postdoctoral work at Caltech and visiting roles at UCLA and the Laboratoire Jacques-Louis Lions. His research bridges signal processing, machine learning, optimization, and applied probability, with notable contributions to imaging inverse problems, data compression, and broadband beamforming. Dr. Romberg has received prestigious awards including the ONR Young Investigator Award (2008), PECASE (2009), Packard Fellowship (2009), and IEEE Fellowship. His recent work emphasizes real-time RF emulation, neural adjoint methods for sound speed learning, and decentralized optimization frameworks. Current projects include radar signal processing, multi-agent reinforcement learning, and hardware-friendly sparse neural networks. His lab focuses on translating theoretical insights into practical systems, such as low-bit beamforming accelerators and medical monitoring devices using MEMS sensors.

• Topological Quantum Computing
• Spintronics
• Iontronics
• +۵ مورد دیگر

Dr. Guo-Xing Miao is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, with affiliations to the Institute for Quantum Computing. His research focuses on spintronics, iontronics, and topological quantum computing, emphasizing novel materials and devices for energy-efficient information processing. He holds a BSc from Shandong University (1999), a PhD from Brown University (2006), and postdoctoral experience at MIT (2011). Key research areas include spiontronics, memristors, neuromorphic computing, and the development of advanced nanoelectronic systems. He has been recognized with the 2017 Ontario Early Researcher Award. Dr. Miao is active in professional organizations such as IEEE, MRS, and APS, and teaches courses ranging from semiconductor physics to quantum circuits. Education: BSc, Shandong University, 1999 PhD, Brown University, 2006 Research Scientist, MIT, 2011 Recent Teaching: ECE 231: Semiconductor Physics and Devices (2023) ECE 405D: Superconducting Quantum Circuits (2025) NANO 601: Characterization of Nanomaterials (2022–2025) Research Highlights: Design of spin-based quantum computing architectures Development of iontronic memory devices Interfacial engineering in resistive switching systems His lab focuses on merging spin and ion dynamics to create next-generation devices, with a particular emphasis on scalable fabrication techniques. Dr. Miao actively supervises graduate students and maintains Sole-Supervisory Privilege Status (SSPS) for doctoral admissions.

Tuna Tuğcuمشاهده پروفایل

استاد

• NanoNetworking
• Molecular Communications
• 5G Networks
• +۳ مورد دیگر

Tuna Tuğcu is a Professor in the Department of Computer Engineering at Bogazici University, where he leads research in nanonetworking and wireless communications. He holds affiliations with the Computer Networks Research Lab (NetLab), Nanonetworking Research Group (NRG), and Telecommunications and Informatics Technologies Research Center (TETAM). He earned his PhD in Computer Engineering from Bogazici University in 2001 and completed postdoctoral research at Georgia Institute of Technology. His research focuses on NanoNetworking/Molecular Communications , 5G Networks , Cognitive Radio , and Wireless Systems . Key areas include diffusion-based signal propagation, modulation techniques for molecular channels, and optimization of nanoscale communication protocols. His recent publications emphasize practical applications in transmitter localization, error minimization, and throughput enhancement for emerging technologies. Awards include: Best Paper Award at ISCC'12 (2012) Best Paper Award at AICT (2010) National Utility Model for disaster coordination systems (TR 2013 11786 Y) He serves as Senior Projects Coordinator and chairs the Information Technologies Committee. He also contributes to ÖBİKAS and TETAM governance. No specific grants or student advisees are detailed in the source text.

Konstantinos Yiannopoulosمشاهده پروفایل

دانشیار

• Optical Wireless Communications
• Network Optimization
• Signal Processing
• +۱۰ مورد دیگر

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.

Michael Laneمشاهده پروفایل

مدرس ارشد

• Digital Transformation
• Business Analytics
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Michael Lane is a Senior Lecturer and Information Systems Discipline Lead at the University of Southern Queensland's School of Business. He has held this position since 2003 and currently serves as Vice-Chair of the ACS Downs and South West Queensland Chapter and a member of the UniSQ ICT Programs Leadership and Governance Committee. With over 20 years of experience in teaching, research, and service, his work bridges organizational and societal perspectives in digital transformation, business analytics/artificial intelligence, and cyber security. Education: Advanced Diploma of Management (ADipMC) from USQ, Honors Bachelor of Information Technology (BIT) from USQ, and PhD in Information Systems from USQ. His research focuses on data management and data science , decision support systems , and information systems organization and management . He emphasizes practical, rigorous research that addresses real-world challenges, particularly in the domains of business intelligence, big data visualization, and cyber security management. He supervises multiple PhD/DBAR students but no specific grant information is provided. Professional memberships include the Australian Computer Society, Australian Information Security Association, and Association of Information Systems.

• Satisfiability Modulo Theories
• Automated Reasoning
• Formal Methods
• +۳ مورد دیگر

Clemens Eisenhofer is a PreDoc Researcher at TU Wien's Institute of Logic and Computation within the Faculty of Informatics. His role combines doctoral research with active contributions to multiple funded projects, positioning him at the forefront of SMT solver development and formal methods research. His research centers on advancing Satisfiability Modulo Theories through innovations in bit-vector reasoning, non-classical logics, and custom theory integration. Key focus areas include enhancing Z3's capabilities for word-level operations, embedding proof calculi like connection calculus, and developing user-propagator frameworks. These efforts target practical applications in software verification, program analysis, and constraint solving, with direct implications for reliability-critical systems. Eisenhofer actively contributes to four major research initiatives: ARTIST (2021-2026) on automated reasoning foundations; SFB SPyCoDe (2023-2030) for cyber-physical systems verification; TAIGER (2023-2027) in theorem proving; and ForSmart (2023-2027) for smart contract analysis. These projects provide substantial computational resources and foster international collaborations, though he does not currently supervise students given his PreDoc status. His research operates within TU Wien's Institute of Logic and Computation—a leading European hub for formal methods—leveraging institutional expertise in computational logic and strong industry ties. The institute's collaborative environment supports his work on solver extensions while connecting theoretical advances to practical verification challenges across multiple domains.

• Formal Verification
• SAT/SMT Solving
• Computer Algebra
• +۴ مورد دیگر

Daniela Kaufmann is a PostDoc Researcher at the Department of Formal Methods in Systems Engineering , part of the School of Informatics at Vienna University of Technology. Her work focuses on combining SAT solving and computer algebra for formal verification of arithmetic circuits. Research Interests: Daniela specializes in Formal verification of arithmetic circuits Algebraic reasoning SAT/SMT solving Grammar inference Automated reasoning Finite field arithmetic verification Recent Article Trends: Her publications emphasize hybrid approaches merging SAT techniques with computer algebra for circuit verification, finite field arithmetic reasoning in SMT solvers, and fuzzing-based grammar inference. She has contributed to tools like AMulet2 and PolySAT, addressing scalability challenges in multiplier verification. Projects: Daniela is a key researcher in the CalgSAT (2024-2027) ARTIST (2021-2026) SFB SPyCoDe (2023-2026) projects funded by the Austrian Science Fund (FWF).

• Coding Theory
• Information Theory
• Forward Error Correction (FEC)
• +۵ مورد دیگر

Mohsen Moradi is a Postdoctoral Research Associate in the Department of Electrical and Computer Engineering at Northeastern University. His research focuses on advanced coding theory, particularly in the development of Polarization-Adjusted Convolutional (PAC) codes, forward error correction, and decoding algorithms. He explores intersections between reinforcement learning and signal processing to enhance code performance. His work emphasizes practical applications such as bounded-complexity sequential decoding, tree pruning techniques, and Monte-Carlo-based code construction. Key contributions include optimizing PAC codes through search-constrained algorithms and analyzing their performance alongside Reed-Solomon and Reed-Muller codes. Recent publications (2020–2025) highlight trends in PAC/SC/Polar code design, with a focus on computational efficiency, metric optimization, and algorithmic innovation. His research bridges theoretical insights with real-world implementation challenges in communication systems. Moradi’s explorations extend to hybrid coding systems (e.g., concatenated codes) and stochastic methods like guessing-based decoding. He collaborates with academic and industry partners to advance next-generation communication protocols requiring robust error correction at high data rates.

Pietro Lioمشاهده پروفایل

استاد

• Computational biology
• Bioinformatics
• Machine learning
• +۷ مورد دیگر

Pietro Lio is a Professor of Computational Biology at the University of Cambridge , Department of Computer Science and Technology, since 2018. Previously, he held roles as a Reader (2013-2018), Senior Lecturer (2007-2017), and Lecturer (2003-2007) in Bioinformatics Algorithms at the University of Cambridge. He has also served as an Associate Professor of Genetics at the University of Teramo (2003) and held research positions at the European Bioinformatics Institute (2002) and University of Cambridge (1998-2001). Education : BSc in Electronic Engineering and Biology (University of Firenze, 1989) PhD in Theoretical Genetics (University of Pavia, 1995) PhD in Engineering (Non-linear Dynamics and Complex Systems) (University of Firenze, 2007) Research interests span computational biology, bioinformatics, machine learning, deep learning, and complex networks. His work integrates mathematical modeling of biological systems, including sequence evolution, protein structure prediction, and ecological dynamics. Scientific awards include the 2018 BITS Award, 2017 Visiting Professorship at Padova, 2016 BYRA and MCE awards for ecological modeling, Lagrange Fellowship (2013-2015), and the 2011 ERCIM award for complex systems research.

Thomas Sykesمشاهده پروفایل

استادیار

• Fluid Dynamics
• Multiphase Flows
• Droplet Dynamics
• +۵ مورد دیگر

Thomas Sykes is an Assistant Professor in the School of Engineering at the University of Warwick, leading the Fluid Dynamics Research Centre. He holds concurrent positions in Oxford's Fluid Dynamics Laboratory and Wadham College. His research focuses on fluid dynamics, particularly multiphase flows, droplet dynamics (coalescence, splashing), and complex fluids. He employs interdisciplinary methods including numerical simulations, high-speed imaging, and mathematical modeling. Education: BSc Mathematics (Leeds, 2016); PhD/MSc Fluid Dynamics (EPSRC CDT, Leeds, 2020). Research Interests: Microfluidics, inkjet printing, aerosol generation, infectious disease transmission, and environmentally friendly crop sprays. Recent work includes droplet impact on shallow pools, surfactant effects on splashing, and electrohydrodynamic printing of liquid crystals. Labs/Teams: Fluid Dynamics Research Centre (Warwick), Fluid Dynamics Laboratory (Oxford).

Charanya Ramakrishnanمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence in Education
• Higher Education Retention
• Learning Analytics
• +۲ مورد دیگر

Charanya Ramakrishnan is an award-winning Senior Lecturer and Course Director for the Bachelor of Information Technology at Macquarie University's School of Computing. She leads curriculum design for core units across seven majors and employs innovative teaching methods, including React-Native and Flutter frameworks for large cohorts (n≥1400). Her research focuses on Artificial Intelligence in Education, Higher Education Retention, Learning Analytics, Computing Education, and Programming Education Pedagogies. She has pioneered programs like 'Bonding Through Coding' for primary school children and mentors the Women in Computing student group. Research publications center on educational technology and student retention strategies, particularly addressing academic integration challenges in first-year units. Awards & Honors: Finalist - AFR Teaching and Learning Excellence Award (2024) AAUT Citation for Outstanding Contribution to Student Learning (2023) Multiple Vice-Chancellor's Teaching Awards Leadership: Deputy Dean of Education and Employability (Shadow 2025), School Retention Lead, and founding member of the Computing Education Research Group. Manages projects including Google ExploreCSR grants and BIT Strategic Development.

Fernando Brandaoمشاهده پروفایل

استاد

• Quantum Computing
• Quantum Information Theory
• Theoretical Physics
• +۳ مورد دیگر

Fernando Brandao is a Bren Professor of Theoretical Physics, specializing in quantum computing and quantum information theory. His research focuses on quantum error correction, quantum algorithms, and the theoretical foundations of quantum many-body systems. He explores advanced topics such as hybrid qubit architectures (e.g., cat-transmon systems), fault-tolerant quantum computing protocols, and noise mitigation strategies. Brandao has contributed to understanding quantum gate implementations, unitary design theories, and the interplay between quantum thermodynamics and information processing. His work emphasizes practical applications of quantum hardware, including optimizing bosonic qubits, suppressing decoherence in superconducting circuits, and developing scalable error-correction frameworks. Notable contributions include studies on cross-resonance gates, Toffoli gate preparation in hybrid systems, and efficient classical simulation techniques for quantum circuits. He also investigates foundational questions about quantum computational limits and reversibility in thermodynamic processes. Brandao received the Rolf Landauer and Charles H. Bennett Award in Quantum Computing (2020), recognizing his contributions to superconducting qubit realizations and quantum algorithm development. His research bridges theoretical insights with experimental implementations, addressing challenges in quantum hardware scalability and robustness against noise. Ongoing projects include refining quantum error-correction codes for biased noise environments and advancing protocols for quantum state preparation under thermal constraints.

Aires Ferreiraمشاهده پروفایل

استاد

• Condensed Matter Physics
• Quantum Optics
• Spintronics
• +۶ مورد دیگر

Aires Ferreira is a Professor in the School of Physics, Engineering and Technology at the University of York, UK. He holds a Licentiate Degree and PhD from the University of Porto, Portugal, and completed advanced studies as an 'Auditeur' at École Polytechnique, France. His research is funded by the Royal Society and EPSRC. Education: Licentiate Degree (U Porto), PhD (U Porto), Auditeur (École Polytechnique) Current Affiliation: University of York (2014–present) Previous Roles: Research Fellow at NUS (2011–2014), Post-Doctoral Scholar at U Minho (2010–2011) Research Focus: Theoretical condensed matter physics in Dirac materials with strong spin-orbit coupling, including spintronics, quantum criticality, and transport phenomena. His group develops scalable real-space Green's function methodologies and diagrammatic techniques for modeling quantum systems. Article Trends: Recent work spans spin Hall effects in 2D systems, symmetry-protected Dirac cones, quantum entanglement in spintronic devices, and computational methods for disordered lattices. Publications emphasize applications of graphene-based heterostructures, topological materials, and nonequilibrium transport theories. Scientific Award: Royal Society University Research Fellowship (2014–2018), extended with Enhanced Research Expenses grants (2021–2023). Labs & Collaborations: Collaborates with UK and international labs, particularly in modeling experiments on spin-orbit systems. Research involves partnerships with institutions like NUS, ICN2 Barcelona, and EPSRC-funded projects.