جست‌وجوی استاد و پژوهشگر

• Organic Solar Cells
• Perovskite Solar Cells
• Hybrid Polymer-Metal Oxide Solar Cells
• +۳ مورد دیگر

Martijn M. Wienk is an Assistant Professor at the Department of Chemical Engineering and Chemistry, Eindhoven University of Technology (TU/e), within the Molecular Materials and Nanosystems (M2N) group. He holds a dual appointment as an ICMS Core member. His research focuses on optimizing hybrid polymer-metal oxide solar cells, emphasizing solution-processed materials for low-cost, scalable photovoltaic applications. Education & Career: BSc/MSc in Chemical Engineering from Twente University PhD in Chemistry (1997) from TU/e, supervised by Sudhölter, Janssen, and Meijer Postdoc at Philips Natlab (Eindhoven) Joined Energy Research Centre of the Netherlands (ECN) in 2002 Appointed Assistant Professor at TU/e in 2007 Research Interests: His work centers on solar cell materials, including organic and perovskite solar cells. Key themes include morphological control of active layers, defect engineering, and solar fuels. Recent studies highlight substrate functionalization for perovskite stability and hybrid material optimization. Grants & Collaborations: Active in EU-funded projects and international collaborations, contributing to UN Sustainable Development Goals (SDGs) related to affordable clean energy (SDG7) and climate action (SDG13). Labs/Teams: Leads the M2N research group, focusing on advanced materials for energy applications. Engages in interdisciplinary projects with industry partners like Philips and academic institutions worldwide.

Elliott Cheuمشاهده پروفایل

استاد

• High Energy Physics
• Particle Physics
• Dark Matter
• +۳ مورد دیگر

Elliott Cheu is an Associate Vice President of University Research Institutes and University Distinguished Professor of Physics at the University of Arizona. He holds a Ph.D. from Cornell University (1991). His research focuses on Experimental High Energy Physics, particularly dark matter searches and physics beyond the Standard Model, conducted primarily at the ATLAS detector of the Large Hadron Collider (LHC). Key research interests include: Dark matter detection mechanisms Supersymmetry and exotic Higgs boson decays Collider-based precision measurements Jet substructure and boosted object analysis Recent work emphasizes searches for new particles and interactions in LHC Run 2 and Run 3 data, with over 35 highly cited papers in Physical Review Letters , Science , and Journal of High Energy Physics . His team has contributed to landmark Higgs boson analyses and top quark studies. Notable awards include the University Distinguished Professor title (2016), UA Team Award for Excellence (2017), and Arthur Compton Lecturer (1993). He has advised numerous students in experimental particle physics and serves as a leading figure in the ATLAS collaboration.

Ellen Luckinsمشاهده پروفایل

مدرس

• Applied Mathematics
• Fluid Mechanics
• Continuum Mechanics
• +۷ مورد دیگر

Dr. Ellen Luckins is a Warwick Zeeman Lecturer and Leverhulme Early Career Fellow at the University of Warwick's Mathematics Institute. Her research focuses on fluid and continuum mechanics, particularly in industrial and environmental applications involving porous media, phase changes, and free-boundary problems. She employs homogenization techniques, asymptotic analysis, and multi-scale modeling to study evaporation, decontamination processes, and material science challenges. Recent work includes modeling impurity deposition during evaporation in porous materials and the dynamics of mushy zones in binary alloys. Education includes a DPhil (PhD) from the University of Oxford's InFoMM CDT, with a thesis on silicon production processes in submerged arc furnaces. She has contributed to study groups on industrial mathematics, addressing problems like energy harvesting and chocolate processing. Her teaching includes advanced fluid mechanics courses at Warwick. Awards include the prestigious Leverhulme Early Career Fellowship, supporting her research in applied mathematics. Her work bridges theoretical modeling with real-world applications, often collaborating with industry partners like Elkem. Key research themes include mathematical decontamination of porous materials, thermal-electrical interactions in metallurgical processes, and evaporation-driven flows in environmental systems.

Debopam Bhattacherjeeمشاهده پروفایل

پژوهشگر

• AI Systems
• Networked Systems
• Low-Earth Orbit Satellite Networks
• +۱ مورد دیگر

Debopam Bhattacherjee is a Senior Researcher at Microsoft Research, Bangalore, focusing on AI Systems, Networked Systems, and Low-Earth Orbit (LEO) Satellite Networks. He holds a PhD in Computer Science from ETH Zürich (2021) and a dual Erasmus Mundus Master's in Security and Mobile Computing. His work has been recognized with the IRTF Applied Networking Research Prize (2020) and multiple Best Paper/Dataset Awards. Research interests include LEO satellite networks, sustainable AI systems, network topology design at hypersonic speeds (27,000 km/hour), and green computing via modular data centers. His publications span ACM SIGCOMM, USENIX ATC, IEEE COMSNETS, and arXiv, with recent patents on AI-driven LLM training and inference systems. Key awards: IRTF Applied Networking Research Prize (2020) Best Paper Award at ACM IMC 2020 Best Dataset Award at ACM IMC 2020 He has supervised numerous PhD/Master's students at ETH Zürich and Microsoft Research, including Tella Rajashekhar Reddy, Shubham Tiwari, and Saksham Bhushan. His educational background includes a B.E. in Computer Science & Engineering from Jadavpur University (2009) and a research fellowship at the Max Planck Institute (2019).

B Buchananمشاهده پروفایل

استاد

• Cryptography
• Cybersecurity
• Blockchain Technology
• +۵ مورد دیگر

Professor B Buchanan OBE FRSE is a Professor of Cryptography at the University of Edinburgh, based in Edinburgh. His research focuses on cryptography, cybersecurity, blockchain technology, quantum computing, and IoT security. He leads initiatives in post-quantum cryptography, secure IoT architectures, and privacy-preserving machine learning. His work spans theoretical developments and practical implementations, including frameworks for threat intelligence sharing and ethical AI integration in security systems. Research Interests: His core areas include cryptographic algorithm design, quantum-resistant protocols, machine learning in cybersecurity, and secure distributed systems. Recent projects explore homomorphic encryption for financial applications, GANs for anomaly detection, and blockchain frameworks for trust management. He is a vocal advocate for ethical cybersecurity practices and interdisciplinary collaboration. Scientific Awards: He has been awarded the OBE (Order of the British Empire) and is a Fellow of the Royal Society of Edinburgh (FRSE). These honors recognize his contributions to advancing cybersecurity and cryptography in both academic and industry contexts. Labs/Teams: His work is supported by the asecuritysite.com , a platform for cybersecurity research and analysis. Collaborations include EU initiatives on digital governance and industry partnerships in secure manufacturing.

Koutsopoulos Iordanisمشاهده پروفایل

استاد

• Federated Learning
• Explainable Artificial Intelligence
• Edge Computing
• +۳ مورد دیگر

Koutsopoulos Iordanis serves as a Professor in the Department of Informatics within the School of Information Sciences and Technology at Athens University of Economics and Business (AUEB). His office is located at 2, Troias, Kimolou & Spetson Str., 4th Floor, Office 402, with contact details including email jordan@aueb.gr and phone +30 210 - 8203 933. His research spans Federated Learning , Explainable AI for Healthcare , and Edge Computing Systems , with significant focus on the PRE-ACT project for breast cancer radiotherapy optimization. Key interests include energy efficiency algorithms, wireless networking, and AI deployment on resource-constrained devices. His work demonstrates strong interdisciplinary integration between computer science and clinical medicine. Recent publications reveal dominant trends in medical AI applications (particularly breast cancer treatment optimization), federated learning architectures for edge environments, and energy-aware systems . The PRE-ACT project constitutes a major research thrust, combining explainable AI with clinical radiotherapy decision support across multiple international institutions. He actively contributes to wireless networking research with emphasis on Software-Defined Networking (SDN) optimization, controller placement strategies, and tactical MANET implementations. His experimental work includes development of testbeds for federated learning on resource-constrained hardware.

Michał Jakub Lipkaمشاهده پروفایل

پژوهشگر

• Quantum Optics
• Quantum Memories
• Atomic Physics
• +۳ مورد دیگر

Dr. Michał Jakub Lipka is a PostDoc researcher in the Quantum Optics Lab led by Prof. Philipp Treutlein at the University of Basel. He holds a PhD from the University of Warsaw (2024), where he conducted research under Prof. Michał Parniak. His academic journey includes a Master's (2020) and Bachelor's (2018) in Physics from the University of Warsaw, and a visiting PhD stint at ICFO, Spain (2022) in Prof. Morgan Mitchell's group. His research focuses on quantum optics , quantum memories , and ultrafast photonics . Key areas include entanglement distribution, quantum sensing, and advanced imaging techniques using atomic systems. Lipka's work bridges experimental quantum optics with applications in quantum communication and sensing, leveraging atomic vapors and Bose-Einstein condensates for novel technologies. Notable contributions include super-resolution of ultrafast pulses and hybrid magnetometry systems . He has published extensively in top journals like Physical Review Letters , Optica , and Communications Physics . His research aligns with the lab's broader goals of exploring quantum systems for technological advancements.

Camilla Hollantiمشاهده پروفایل

استاد

• Algebra
• Discrete Mathematics
• Cryptography
• +۴ مورد دیگر

Camilla Hollanti is a Professor in the Department of Mathematics and Systems Analysis at Aalto University , part of the School of Science . Her research focuses on algebra, number theory, and their applications in coding theory, cryptography, and secure distributed communication systems. She leads the Algebra, Number Theory, and Applications (ANTA) research group. Her work spans theoretical foundations and practical implementations, including lattice-based cryptography, secure distributed matrix multiplication, private information retrieval (PIR), and codes for wireless networks. Hollanti has published extensively in top-tier journals and conferences, with over 130 publications. Her contributions address challenges in data security, reliability, and efficiency in emerging technologies like federated learning and quantum communication. Key research themes include algebraic geometry codes for PIR , well-rounded lattices for wiretap channels , and secure computation in distributed systems . Recent efforts emphasize post-quantum cryptography and robust protocols against adversarial servers. Hollanti holds a Ph.D. in Mathematics and has been recognized with several awards (though specific names are not listed in the provided texts). She collaborates internationally and actively contributes to interdisciplinary projects at Aalto University.

Rajveer Nehraمشاهده پروفایل

استادیار

• Quantum Information Science
• Nanophotonics
• Quantum Computing
• +۳ مورد دیگر

Rajveer Nehra is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst, with adjunct roles in the Department of Physics and Manning College of Information and Computer Sciences. He earned his Ph.D. in Atomic and Molecular Physics from the University of Virginia and an Integrated BS-MS from the Indian Institute of Science Education and Research (IISER) Mohali. His research focuses on scalable quantum information processing systems in nanophotonics, emphasizing ultrafast operations at room temperature for applications in quantum computation, secured networks, and sensing. Key research areas include quantum optics, non-Gaussian state engineering, and photonic quantum technologies. His work has led to innovations in lithium niobate nanophotonics, ultrafast detection, and loss-tolerant sensing. Dr. Nehra has been recognized with awards such as the Outstanding Graduate Research Award and the Allan Talbott Gwathmey Memorial Award for his doctoral contributions. His lab collaborates across disciplines, mentoring students in ECE, Physics, and Materials Science. Current projects explore all-optical quantum processors, cavity-based memories, and nanophotonic deep learning functions. The group maintains close ties with institutions like Caltech, the University of Tokyo, and Mount Holyoke College.

Norbert Hanikمشاهده پروفایل

دانشیار

• Optical Communications
• Signal Processing
• Information Theory
• +۳ مورد دیگر

Prof. Norbert Hanik is an Associate Professor at the Technical University of Munich (TUM), leading the Chair of Wired Communications. His research focuses on modeling, design, and optimization of optical and copper-based communication systems, integrating methods from communications engineering, information theory, and quantum physics. He has held roles at Deutsche Telekom Technology Center and was a visiting professor at DTU Photonics in Denmark. Education: Diploma in Electrical Engineering (TUM, 1989), Dr.-Ing. in Communications Engineering (TUM, 1995). Research Interests: Optical communication system optimization, nonlinear fiber effects, polymer optical fibers, short-reach copper communications, and advanced modulation schemes. His work includes developing high-capacity optical transmission systems and investigating novel materials like silicon nitride waveguides for wavelength conversion. Grants and Collaborations: Funded by BMBF, EU, and industry partners. Projects include SENDATE (secure data center networks) and FICUS (flexible infrastructure for secure communication). Labs/Teams: Active in the Wireline Transmission Technology group, focusing on physical modeling, simulation, and optimization of optical systems. Collaborates with industry leaders like ADVA Optical Networking.

Dominique Sugnyمشاهده پروفایل

استاد

• Quantum Control
• Molecular Dynamics
• Nuclear Magnetic Resonance (NMR)
• +۳ مورد دیگر

Dominique Sugny is a Professor at Université de Bourgogne and a Hans Fischer Fellow at the TUM Institute for Advanced Study (2015 appointment). He leads the Optimal Control and Medical Imaging focus group, collaborating with Prof. Steffen Glaser at TUM. His primary affiliation is the Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB). Education & Career: PhD in Theoretical Physics (2002), Laboratory of Spectrométrie Physique, Grenoble Habilitation à Diriger des Recherches (2009) Maître de Conférence (2003–2014) and Professor (2014–present) at Université de Bourgogne Visiting Researcher at TUM (2012) Research Focus: Dominique Sugny develops optimal control methods for quantum and classical systems, with applications to molecular dynamics, nuclear magnetic resonance (NMR), and medical imaging. His work bridges theoretical physics, applied mathematics, and collaborations with experimentalists. Key areas include: Quantum control of spin systems and molecular processes Optimal pulse design for MRI contrast enhancement Nonlinear optics and terahertz spectroscopy Time-optimization algorithms for quantum systems Publications & Impact: His recent work emphasizes MRI optimization, quantum control algorithms, and molecular dynamics. Notable contributions include time-optimal RF pulse designs, quantum-classical analogues (e.g., tennis racket effect), and terahertz-driven molecular orientation. Labs & Collaborations: Affiliated with the ICB lab, he collaborates with mathematicians, physicists, and engineers to advance control theory applications in both fundamental and applied sciences.

• Information Systems
• Grid Computing
• Data Storage
• +۵ مورد دیگر

Fokke Dijkstra is a Researcher at the University of Groningen , specializing in Information Systems , Grid Computing , and Petabyte-scale Data Storage . His work focuses on enabling large-scale scientific research through infrastructure development. Key Collaborations: Astro-WISE, LOFAR (Low-Frequency Array) projects Research Themes: Long-term archiving, distributed computing, and grid technology for astrophysics Recent Activity: Contributed to a memorial article for Joop van Lenthe in 2022 Academic Output includes 15+ publications on scaling data systems for astronomy, with notable work on LOFAR and Astro-WISE infrastructure. His research bridges computational methods with astrophysical data challenges. Activities include participation in the BioSB 2020 conference, demonstrating his interdisciplinary engagement.

Frederick N. Skiffمشاهده پروفایل

استاد

• Plasma Physics
• Laser Spectroscopy
• Experimental Plasma Physics
• +۷ مورد دیگر

Frederick N. Skiff is a Professor in the Department of Physics and Astronomy at the University of Iowa, College of Liberal Arts and Sciences. His research focuses on experimental and theoretical plasma physics, particularly plasma waves, instabilities, self-organization, and advanced diagnostics using laser spectroscopy. He leads the Skiff Research Group, which operates key experimental facilities including the Hawkeye Linearly Magnetized Experiment (HLMX) and a large multi-dipole discharge device. The group also collaborates with the Large Plasma Device (LAPD) at UCLA. His research interests span plasma physics , laser spectroscopy , plasma diagnostics , nonlinear fluctuations , and kinetic theory . Students in his group engage in hands-on experimental work involving high-resolution spectroscopy, apparatus design, electronics, and computational data analysis, often bridging theory and experiment. His lab fosters interdisciplinary collaboration with space physics and astronomy researchers within the department. The recent publications highlight work in space plasma phenomena, particularly the role of electromagnetic waves in auroral generation, indicating a strong trend toward fundamental plasma processes in space environments. His group's work combines laboratory experiments with large-scale collaborations and theoretical modeling. Award from the Naval Research Laboratory for 'Measurements of suprathermal electron distributions using whistler wave absorption' (2021) Member of the Fusion Energy Sciences Advisory Committee, U.S. Department of Energy Office of Science (2019) Prof. Skiff advises graduate students in experimental plasma physics and has mentored researchers who have gone on to careers in academia, national laboratories, and industry. His group receives external funding, including a 2021 project award from the Naval Research Laboratory in collaboration with Wheaton College. Students participate in the departmental plasma seminar and benefit from interdisciplinary interactions across plasma, space, and astrophysics groups. The Skiff Research Group operates two primary experimental platforms: the 3-meter linear magnetized-plasma device (HLMX) and a large multi-dipole discharge system, both equipped with high-resolution scanning lasers. These facilities support advanced diagnostic techniques such as laser-induced fluorescence and wave-absorption measurements. The group also engages in collaborative research using the LAPD at UCLA.

• Cybersecurity
• Wireless Sensor Networks
• Smart Grid Security
• +۷ مورد دیگر

Dr. Yee Wei Law is a Senior Lecturer at the University of South Australia's (UniSA STEM) Mawson Lakes Campus. His research expertise spans cybersecurity, machine learning, and wireless sensor networks, with a focus on secure communication systems and autonomous vehicle localization. He serves as a Research Degree Supervisor and actively contributes to publications in IoT security, space systems, and privacy-preserving technologies. Research Trends : Recent work emphasizes domain adaptation for predictive maintenance, adversarial attack analysis in computer vision, and quantum key distribution for satellite-IoT networks. Key themes include security in smart grids, UAV-based gesture recognition, and collaborative privacy-preserving algorithms. Publications highlight interdisciplinary applications of machine learning in fault diagnostics, cloud detection via satellite, and secure networking protocols. His work bridges theoretical advancements with real-world implementations in hypersonic tracking and RFID security.

• Quantum Communications
• Next-generation Wireless Transmissions
• Channel Coding and Modulation
• +۸ مورد دیگر

Prof Soon Xin Ng (Michael) is a Professor of Next Generation Communications at the University of Southampton , affiliated with the School of Electronics and Computer Science. His work bridges quantum communications, wireless technologies, and machine learning, with a focus on the theoretical and practical challenges of next-generation networks. Education: B.Eng. (First Class) in Electronic Engineering and Ph.D. in Telecommunications, both from the University of Southampton Current Roles: ECS Doctoral Programme Director since 2021, IEEE Quantum Communications & Information Technology Emerging Technical Subcommittee Officer Research Interests span quantum communications, channel coding/modulation, cooperative systems, and AI-driven wireless solutions. Recent projects include quantum key distribution over THz channels, UAV path planning with reinforcement learning, and MIMO-OFDM optimization. 2025: 3D spatial compression for UAV navigation 2025: OTFS modulation in quantum THz channels 2024: CV-QKD reconciliation and quantum internet evolution Scientific Awards include the 2013 Dean’s Award for publication excellence, IEEE Senior Membership, and Fellowships from the IET and Higher Education Academy. As an author of 260+ papers and co-editor of Quantum Engineering , he mentors eight active PhD students in electronic and engineering disciplines.