Find Academic Supervisors

• Information Retrieval
• Data Science
• Text Analytics
• +5 more

Christina Lioma is a Full Professor at the Department of Computer Science (DIKU), University of Copenhagen . She has held academic positions including Associate Professor (2014-2018) and Freja Fellow/Assistant Professor (2012-2013) at the same institution. M.Hons (University of Glasgow, 2001) M.Sc. (University of Manchester, 2003) Ph.D (University of Glasgow, 2007) Her research focuses on Information Retrieval , Text Analytics , and Recommender Systems within Applied Machine Learning and Natural Language Processing . Recent work examines fairness-relevance tradeoffs in recommendation systems and neural mechanisms for knowledge conflict tracing. Recent publications in Nature Communications and top conference proceedings (WWW, SIGIR) explore hybrid computation architectures, brain-based language generation, and fairness evaluation metrics. She actively participates in academic conferences as organizer and speaker, including the European Conference on Information Retrieval.

• Machine Learning
• Quantum Computing
• Natural Language Processing
• +3 more

William Henrich Due serves as a Lecturer at the Department of Computer Science (DIKU), University of Copenhagen, within the Machine Learning section. His work intersects with the SCIENCE AI Centre and leverages the department's high-performance compute cluster for research in quantum computing, sustainable AI, and medical applications. Research focuses span quantum machine learning (biomolecular simulations, photonic processors), sustainable AI systems (energy efficiency, climate impact), and clinical applications (EEG analysis, medical imaging). His recent publications reveal strong activity in quantum-classical hybrid systems, with 8/15 recent papers addressing quantum computing challenges. The work emphasizes practical implementations in medical imaging and resource-constrained environments. His research aligns with DIKU's Machine Learning section priorities including medical imaging biomarkers and sustainable computing. Key infrastructure includes TreeSense for remote sensing and the department's dedicated compute cluster. No scientific awards were explicitly documented in the provided materials. Due contributes to DIKU's teaching mission as a Lecturer while engaging with the SCIENCE AI Centre's interdisciplinary initiatives. His work connects with medical imaging applications and quantum computing infrastructure development. Active in the Machine Learning section's research ecosystem, his work intersects with medical imaging analysis and quantum computing applications, utilizing specialized resources like TreeSense for environmental monitoring.

• Quantum Computing
• Quantum Information
• Machine Learning
• +3 more

Iris Agresti is a researcher affiliated with the Faculty of Physics at Politecnico di Milano , specializing in quantum computing, quantum information, and machine learning. Her work bridges quantum optics and computational advancements, with recent publications in high-impact journals like Nature Photonics and Physical Review Research . Education: PhD in Physics. Research focuses on photonic processors for quantum machine learning, quantum state superposition, and integrated photonic systems for generating GHZ entangled states. Her 2025 article explores kernel-based quantum-enhanced machine learning, while 2024 work investigates time-reversed quantum evolution and high-fidelity photon entanglement. She has participated in international collaborations and workshops, including visits to Politecnico di Milano, and is part of funded projects like Photonic Reservoir Computing for Quantum Correlation Sets (2022–2025). Her work garners attention from news outlets, social media, and academic platforms like Mendeley.

Anna O'BrienView profile

Assistant Professor

• Plant-Microbiome Interactions
• Global Change Biology
• Evolutionary Genetics
• +3 more

Anna O'Brien is an Assistant Professor in the Department of Molecular, Cellular, and Biomedical Sciences at the University of New Hampshire (UNH), part of the College of Life Sciences and Agriculture (COLSA). Her research focuses on plant-microbiome interactions under global change stressors, exploring how evolutionary dynamics in these relationships influence host fitness and resilience. She employs advanced techniques like sequencing, epigenetics, and computational modeling to unravel these complex systems. Professor O'Brien’s work bridges ecology, evolution, and molecular biology, with a particular emphasis on bioremediation applications and the impacts of climate change on plant-microbe mutualisms. She teaches courses including Microbial Ecology & Evolution, Molecular Genetics, and Professional Perspectives in Genetics. Her team actively seeks new members for undergraduate, Master’s, and PhD programs. Key research themes include the interplay between microbiomes and environmental stressors, such as temperature, CO2, and microplastics. Her lab investigates how these stressors influence plant adaptation and mutualistic outcomes. Recent studies highlight the resilience of aquatic plants and their microbiomes under multiple stressors, as well as the development of novel imaging systems for phenotyping small organisms. While no formal awards are listed, her extensive publication record reflects contributions to understanding evolutionary consequences of microbiomes and the design of bioremediation strategies. Ongoing projects aim to integrate environmental and genomic data to predict ecosystem responses under changing conditions.

Michael McGarryView profile

Associate Professor

• Communication Networks
• Machine Learning
• Internet
• +6 more

Michael McGarry is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Texas at El Paso (UTEP). His research focuses on communication networks, particularly mechanisms for improving network efficiency through machine learning and optimization. He leads UTEP's Communication Networks Laboratory (NetLab), which explores fault localization, automated network management, and bandwidth forecasting. McGarry's work has garnered over 2100 citations, with an h-index of 16 and an Erdős number of 2. He has mentored three Ph.D. students, including Rami Haddad, Salvador Melendez, and Christopher Mendoza, who now hold prominent roles in academia and industry. His research interests span machine learning applications in networking, video networking, cloud computing, and medium access control (MAC) protocols. Notable contributions include techniques for network fault localization using unsupervised machine learning and innovations in hybrid PON/xDSL access networks. McGarry has also developed methodologies for optimizing bandwidth distribution and reducing energy consumption in communication systems. Awards: 2009 IEEE Communications Society Best Tutorial Paper Award Grants: Recent funding focuses on network management automation and fault detection. McGarry's collaborative projects include integrating OpenTap with quantum entanglement testbeds and advancing SDON (Software Defined Optical Networks) architectures. His lab’s work emphasizes practical solutions for real-world network challenges, from enterprise systems to military applications.

• Quantum Physics
• Quantum Information Science
• Quantum Computing
• +7 more

Professor Geoff Pryde is a quantum physicist at Griffith University, leading the Quantum Optics and Information Laboratory. He holds a PhD from The Australian National University (2001) and a BSc (Hons) from The University of Queensland (1995). His research focuses on quantum information science, quantum computing, and optical quantum technologies, with emphasis on experimental exploration of quantum phenomena and development of quantum technologies. He is a member of the Queensland Quantum and Advanced Technologies Research Institute (QUATRI) and the ARC Centre of Excellence for Quantum Computation and Communication Technology (CQC2T). Affiliations: Queensland Quantum and Advanced Technologies Research Institute (QUATRI), Centre for Quantum Dynamics, ARC Centre of Excellence for Quantum Computation and Communication Technology. Education: PhD in Physics, The Australian National University, 2001 BSc (Hons) in Physics, The University of Queensland, 1995 His research interests include quantum optics, quantum measurement, entanglement, and applications of quantum technologies. He has led projects funded by ARC and international grants, totaling over AUD 8 million. Key contributions include experimental work on quantum steering, noiseless amplification, and quantum network protocols. Professor Pryde teaches quantum physics and supervises over 20 doctoral students, many of whom have contributed to high-impact research in quantum information science. Grants & Collaborations: ARC Discovery Projects (DP210101651, DP160101911) ARC Future Fellowship (FT110100378) U.S. Asian Office of Aerospace Research and Development (AOARD) Labs & Teams: Quantum Optics and Information Laboratory at Griffith University, collaborating with global teams on photonic quantum computing and quantum metrology.

Aakash BansalView profile

Lecturer

• Antennas and Metamaterials
• RF Design and Measurements
• 5G/6G Communications
• +5 more

Aakash Bansal is a Lecturer in Applied Electromagnetics and a Royal Academy of Engineering UK Intelligence Community Research Fellow at Loughborough University. He holds a PhD in Electronics, Electrical and Systems Engineering from Loughborough University (2022) and a BTech in Electronics and Communication Engineering from Guru Gobind Singh Indraprastha University, India (2017). His research focuses on smart antenna systems, metamaterials, millimeter-wave communications, and RF design, with applications in 5G/6G networks, satellite communications, and beam-steering systems. He leads research projects, supervises students, and collaborates internationally. Key roles include Co-Lead of the UK Metamaterials Network+ Active Metamaterials SIG and Guest Editor for journals. Awards include the Royal Academy of Engineering Fellowship (2023), Loughborough University’s Doctoral President’s Award (2022), and Electronics Weekly BrightSparks Award (2020). Research interests span antenna design (e.g., leaky-wave, holographic metasurfaces), beamforming technologies, and RF lens fabrication. Recent work includes developing CubeSat beam-steering antennas and consulting on industrial projects. He actively promotes STEM education through workshops and coding clubs. Key Projects: Active mmWave Antenna Arrays for 5G, CubeSat Antennas, OneWeb Satellite Handover Systems Lab Facilities: Wireless Communications Research Group at Loughborough Grants: Royal Academy of Engineering Fellowship, multiple industry collaborations Publications cover cutting-edge topics like morphing metasurfaces, holographic beamforming, and 3D-printed antennas. He is a sought-after collaborator for antenna design and RF innovation.

Per Kristian RekdalView profile

Associate Professor

• Theoretical Physics
• Quantum Optics
• Quantum Gravity
• +4 more

Per Kristian Rekdal is an Associate Professor at the Faculty of Logistics, Høgskolen i Molde. His research spans Theoretical Physics (Quantum Optics, Quantum Gravity) and Logistics (Dynamic Pricing, Inventory Management). He earned his M.Sc. (1998) and Ph.D. (2001) from NTNU, followed by postdocs at Imperial College (2002-2004) and Universität Graz (2005-2006). Rekdal leads projects like SKIFT, CC-moon.net, and SimReal, focusing on educational technology and quantum physics. He co-authored books on Quantum Optics and Logistics, and developed the open course platform himoldeX.no. His work bridges physics and logistics, emphasizing digital innovation in education and research. Education: NTNU, Master of Science, 1992-1998 NTNU, Ph.D. in Theoretical Physics, 1998-2001 Imperial College, London, Post Doc, 2002-2004 Universität Graz, Austria, Post Doc, 2005-2006 Research Interests: Rekdal explores quantum phenomena (angular momentum, Casimir effects, atom chips) and logistics optimization (pricing models, inventory systems). His work integrates theoretical physics with applied logistics, leveraging digital tools to enhance education and operational efficiency. Recent projects include quantum state analysis and open online learning platforms. Publications & Media: His top articles address quantum field theory and logistics systems. Media contributions highlight his role in Norway’s educational digitalization. He collaborates with institutions like Imperial College and has authored over 30 books and papers. Awards & Recognition: No explicit awards listed, but his work on himoldeX earned media attention and a nomination for ‘Teacher of the Year’ (2016). Labs & Teams: Leads the Virtual Technologies and Learning research group, advancing digital education and quantum studies at HiMolde.

• Mechanical Biology
• Neuroscience
• Cell Biology
• +3 more

Prof. Michael Krieg leads the Neurophotonics and Mechanical Systems Biology group at the Institute of Photonic Sciences (ICFO), focusing on mechanosensation and cell mechanics in health/disease. His research uses C. elegans as a model, combining optogenetics, optical tweezers, and microfluidics to study how mechanical forces influence biology. Key areas include protein condensates in touch sensing, neurodegeneration under mechanical stress, and synthetic neural circuits. Technological innovations include time-shared optical tweezers for microrheology and photon-based communication systems. He received a Proof of Concept Grant (2023) for advancing these tools. Current projects explore age-related viscoelastic changes in cells and 'prosthetic' cellular communication systems. Advising and hiring: Open PhD positions in neuronal cell biology and biochemistry master’s projects. Collaborations involve deep learning microscopy and synthetic biology approaches to mechanobiology.

• Electromagnetics
• Microwave and Antenna Technologies
• Optics
• +3 more

Assoc. Prof. Dr. Mehmet Nuri Akinci is affiliated with the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU). His academic career includes roles as an Associate Professor (since 2019) and Research Assistant at ITU, with additional research experiences at Virginia Commonwealth University and the National Research Council of Italy. His research focuses on electromagnetics, microwave and antenna technologies, optics, and photonics, with applications in biomedical imaging, non-destructive testing, and material characterization. Education: Integrated PhD in Telecommunication Engineering, ITU (2013–2017) Bachelor's in Electronics and Communication Engineering, ITU (2010–2013) Research Interests: Dr. Akinci specializes in microwave imaging systems, qualitative inverse scattering methods, antenna design, and biomedical applications such as hyperthermia treatments and brain imaging. His work integrates deep learning techniques for improved accuracy in medical diagnostics and material analysis. Awards: IEEE Türkiye PhD Thesis Award (2017) TUBITAK National Physics Olympiad Bronze Medal (2010) Academic Excellence Awards (2006–2010) Advising & Grants: He supervises PhD and master’s students in topics like microwave imaging algorithms and hyperthermia treatment optimization. Active projects include designing imaging systems for walnut quality assessment and developing low-cost biomedical phantoms. Labs/Teams: His research group focuses on advanced microwave imaging, antenna technology, and biomedical engineering applications at ITU's Ayazağa Campus.

David J. KlotzkinView profile

Associate Professor

• Optoelectronics
• Photonics
• High-speed Lasers
• +8 more

David J. Klotzkin is an Associate Professor in the Department of Electrical and Computer Engineering at Binghamton University, where he has been a faculty member since 2008. He is a Senior Member of the IEEE and has received notable awards, including the departmental research award in 2010 and the Chancellor's Award for Excellence in Teaching (2016-2017). His educational background includes a BS in Electrical Engineering from Rensselaer Polytechnic Institute (1988), an MS in Materials Science from Cornell University (1994), and a PhD in Electrical Engineering from the University of Michigan (1998). His research focuses on High-speed telecommunications lasers Free space modulating retroreflectors Integrated opto-electronic devices Quantum dot lasers and laser dynamics Photonic-band-gap devices Organic luminescent devices Microfluorescence detectors He has contributed to the development of innovative sensors, such as optical oxygen sensors and CMOS-based CO₂ sensors, and advanced fabrication techniques like interference lithography for photonic crystals. David has also pioneered a multidisciplinary STEM scholarship program for community college transfer students, emphasizing nanotechnology and microfabrication through hands-on research projects. His teaching portfolio includes courses such as EECE 506: Mathematical Methods in Electrical Engineering EECE 260: Electrical Circuits Advanced Semiconductor Lasers at both Binghamton and the University of Cincinnati David has advised numerous students, including those in the classes of 2014, 2015, and 2016. His work extends to collaboration with industry partners like IBM and the Naval Research Lab, and he has led the Klotzkin Lab, which explores cutting-edge optoelectronic and photonic systems. Key contributions include the Glaparex simulation tool, which optimizes distributed feedback lasers, and the development of microfluidic lab-on-a-chip sensors for biomedical applications.

Jean-Paul M.G. LinnartzView profile

Professor

• Optical Wireless Communication
• LiFi Technology
• Information Security
• +2 more

Jean-Paul M.G. Linnartz is Full Professor in the Signal Processing Systems group at Eindhoven University of Technology and Research Fellow at Signify (Philips Lighting). His research spans optical wireless communications, security systems, and signal processing algorithms. Key contributions include: Pioneering work on LiFi technology and visible light communication systems Innovations in biometric security and electronic watermarking OFDM and MC-CDMA techniques for wireless networks Publications show consistent focus on bridging fundamental algorithms with practical applications in lighting and communication systems. Recent work advances LED channel modeling and photonic communication frameworks. He holds over 75 patents and has co-founded three technology ventures. As Senior Director at Philips Research (1995-2008), he led groups in security, connectivity, and IC design. Honors include IEEE Fellowship (2011) for contributions to communications technology. Current projects include OptiLiFi (optimizing LiFi communication) and ELIoT (Enhance Lighting for Internet of Things), developing next-generation optical wireless networks.

Tim StevensView profile

Research Fellow

• Teacher Professional Learning
• Educational Innovations
• Higher Education
• +3 more

Tim Stevens is a postdoctoral researcher at Eindhoven University of Technology, affiliated with the Group Ventura-Medina. Holding a PhD from Wageningen University & Research (2020), his work spans educational innovations in higher education and neuromorphic hardware development. Stevens' research focuses on Teacher Professional Learning in the context of educational innovations, with a particular emphasis on self-regulated learning, professional learning communities (PLCs), and design-based education. He actively investigates how educators adapt to changing pedagogical landscapes, especially during the transition to online education post-COVID-19. His publications reveal a dual expertise: (1) Education exploring teacher agency, professional development alignment with SDG4 (Quality Education), and innovation typologies, and (2) Computer Science involving hardware implementation of neural networks. Notable works include studies on backpropagation algorithms and organic neuromorphic arrays. While Stevens has no listed scientific awards, his research outputs demonstrate impactful collaborations across institutions. He has contributed to 17 publications between 2021-2025, including peer-reviewed articles in journals like Science Advances and Innovative Higher Education .

Raafat MansourView profile

Professor

• RF Engineering
• Microwave Engineering
• Millimeter-Wave Technology
• +4 more

Raafat Mansour is a Professor and University Research Chair at the University of Waterloo, serving as Director of the Centre for Integrated RF Engineering. His research focuses on advanced RF and microwave engineering, including phase shifters, reconfigurable circuits, MEMS devices, and low-temperature superconductors. He leads efforts in developing tunable filters, millimeter-wave systems, and phase change material applications. His expertise spans RF component design, cryogenic electronics, and integration of novel materials like BST varactors and GeTe switches. Mansour’s work addresses challenges in 5G and future communication systems, emphasizing miniaturization and system efficiency. He has pioneered reconfigurable intelligent surfaces (RIS) and monolithic integration techniques for next-generation RF front-ends. Key contributions include magnetless cryogenic circulators, liquid crystal-based phase shifters, and high-performance SAW filters. His articles highlight innovations in bandwidth reconfiguration, tunable capacitors, and superconducting circuits for quantum applications. Mansour’s research also explores MEMS actuators, thermal management in RF switches, and scalable phase-change switch matrices. As an educator, he has contributed to MTT-S scholarship programs and promotes interdisciplinary education in RF engineering. His laboratory work emphasizes practical applications of theoretical advancements, with a focus on real-world deployment of reconfigurable systems.

Pieter-Tjerk de BoerView profile

Associate Professor

• Rare-Event Simulation
• Communication Systems
• Mathematical Performance Analysis
• +3 more

Pieter-Tjerk de Boer is an Associate Professor at the University of Twente , affiliated with the Electrical Engineering, Mathematics and Computer Science (EEMCS) faculty. He holds dual roles in the Design and Analysis of Communication Systems (Computer Science) and the Digital Society Institute . His research focuses on rare-event simulation, communication systems, and mathematical performance analysis. He earned his PhD in 2000 from the University of Twente with a thesis on queueing models for telecommunication systems. Key research areas include stochastic performance analysis (e.g., importance sampling techniques for queueing networks), computer networking (DNS analysis, IPv6 security), and radio technology (MIMO receivers, harmonic rejection mixers). His work bridges theory and application, addressing challenges in reliability, security, and efficiency of digital systems. Notable contributions include advancements in statistical model checking, automated rare-event simulation for stochastic Petri nets, and open-source intelligence analysis using radio receivers. His findings are published in journals like Simulation , IEEE Transactions , and Performance Evaluation , with over 98 research outputs since 1996. Collaborations span academia and industry, including work on cybersecurity, network management, and hardware-software co-design. Media engagements include discussions on radio receiver usage patterns during the Ukraine war and IPv6-related network vulnerabilities.