Find Academic Supervisors

Rob GaizauskasView profile

Professor

• Natural Language Processing
• Information Extraction
• Temporal and Spatial Information Processing
• +7 more

Professor Rob Gaizauskas is a faculty member at the University of Sheffield , serving as Co-Director of the UKRI Centre for Doctoral Training in Speech and Language Technologies and leading the Natural Language Processing (NLP) research group . His academic journey began with a DPhil in Cognitive and Computing Sciences from the University of Sussex (1992), preceded by degrees in Philosophy from Carleton University and a Diploma in Information Processing. Education : DPhil (University of Sussex, 1992), MA (Carleton University, 1978), BA (Carleton University, 1975) His research focuses on NLP , particularly information extraction from texts, temporal/spatial information processing , automatic image description , argument mining , and evaluation of NLP systems . He has pioneered work in multi-document summarization , dialogue analysis , and comparable corpora for machine translation. Notable grants include: UKRI Centre for Doctoral Training in Speech and Language Technologies (2019–2027, £5.5M) VisualSense (2013–2016, £310k) SENSEI Project (2013–2016, £459k) ACCURAT (2010–2012, £268k) Scientific contributions : Co-developer of the GATE framework for text engineering Led biomedical NLP projects like BioWSD and PASTA Pioneering work in temporal relation identification (TempEval)

Filippo StancoView profile

Professor

• Image Processing
• Computer Vision
• Machine Learning
• +7 more

Filippo Stanco is a Full Professor at the Department of Mathematics and Computer Science at the University of Catania. He serves as President of the Bachelor's Degree in Computer Science (since 2017) and Deputy Rector for Technological Innovation (since 2019). His career includes positions as Associate Professor (2014-2023), Assistant Professor (2006-2014), and research fellowships at the Universities of Catania and Trieste. Education: PhD in Computer Science (2003) from University of Catania Bachelor's Degree in Computer Science (1999, summa cum laude) from University of Catania His research spans image processing, computer vision, and machine learning with applications in cultural heritage preservation, medical imaging, industrial automation, and multimedia systems. He leads the Archeomatica Project developing digital tools for archaeology and coordinates multiple national research projects including DREAMIN and CLEAR. Stanco has published extensively on food image analysis, document authentication, video processing, and heritage conservation. His work frequently employs deep learning, 3D modeling, and color science techniques across interdisciplinary domains. Honors: Best Session Paper Award at IPAS 2020 Cookpad Student Travel Grant at CEA 2018 Meritorious Papers recognition in Computers in Biology and Medicine (2016) He coordinates the Archeomatica research group and serves on editorial boards for multiple journals including ACM Journal of Computing and Cultural Heritage and IET Image Processing. Stanco has supervised over 200 theses and teaches courses on multimedia systems, game development, and image processing.

Mathieu DelalandreView profile

Associate Professor

• Image Processing
• Computer Vision
• Document Analysis
• +7 more

Mathieu Delalandre is an Associate Professor at LIFAT Laboratory, University of Tours, France, specializing in image processing and document/video analysis since 2009. His research focuses on local approaches including local detectors, template matching, and transform domain processing, with applications in video copy detection, scene text detection, and document image networking. He received his PhD in Computer Science from Rouen University in 2005, followed by research fellowships at SCSIT (Nottingham, UK), L3i (La Rochelle, France), and CVC (Barcelona, Spain) from 2006-2009. His educational background established his foundation in document analysis and pattern recognition. Delalandre's research spans multiple domains of computer vision with emphasis on practical applications. His work bridges theoretical image processing techniques with real-world problems in document analysis and video content monitoring. Key contributions include robust symbol localization, performance evaluation frameworks for symbol recognition systems, and real-time text detection algorithms. His approach often combines structural and statistical methods for enhanced accuracy. His publication record demonstrates consistent focus on video and document analysis, with recent work emphasizing partial video copy detection (2021-2023), real-time text detection (2019-2021), and JPEG document processing (2015-2017). The trajectory shows evolution from fundamental symbol recognition research to applied multimedia analysis systems addressing contemporary challenges in copyright protection and content monitoring. As head of the StationTV project, Delalandre leads research on real-time processing of multi-channel television content. He has participated in numerous national and international research projects, contributing to advancements in document image analysis and video processing. His work has been supported through various research grants focusing on practical applications of computer vision. Delalandre is an active member of the RFAI research group at LIFAT Laboratory, where he contributes to the development of innovative image processing techniques. His team collaborates across European institutions, maintaining strong connections with previous research sites in the UK, Spain, and other French laboratories. Current work focuses on multimedia fact-checking systems and real-time video analysis solutions.

Saeid MoslehpourView profile

Associate Professor

• Computer Engineering
• Digital Electronics
• Embedded Systems
• +6 more

Saeid Moslehpour is Chair and Associate Professor in the Department of Electrical and Computer Engineering at the University of Hartford's College of Engineering, Technology, and Architecture. He holds a Ph.D. in Industrial Technology and Computer Engineering (1993) from Iowa State University, along with multiple degrees from the University of Central Missouri including an Ed.Sp in Industrial Technology. Ph.D., Industrial Technology and Computer Engineering - Iowa State University (1993) Ed.Sp, Industrial Technology - University of Central Missouri MS, Electronics - University of Central Missouri BS, Electronics - University of Central Missouri His research focuses on Soft Processors , Electronic Modeling , and Cyber Learning , with expertise in SPICE modeling, FPGA/VHDL/Verilog programming, microprocessor design, telecommunications, and digital signal processing. He has pioneered laboratory developments including wireless, telecommunications, and surface roughness analysis systems. Recent work includes publications on EEG signal analysis , space systems hazard analysis , and embedded electronics . He received academic honors from Phi Kappa Phi and Epsilon Pi societies and maintains certifications in telecommunications and Cisco networking systems. Phi Kappa Phi Academic Honor Society (1993) Epsilon Pi Industrial Technology Honor Society (1993) Excellent Student Scholarship (1992-94) As an ASEE editor and committee chair, he has shaped engineering education policy and assessment. His industry collaborations with Northern Net Technology and Pars Server Tehran demonstrate practical applications of his work.

Khaled Abdel HarfoushView profile

Associate Professor

• Computer Networking
• Internet Measurements
• Peer-to-Peer Systems
• +7 more

Khaled Abdel Harfoush is an Associate Professor at North Carolina State University, affiliated with the College of Engineering and Department of Computer Science. He holds a Ph.D. in Computer Science from Boston University (2002) and earned his M.Sc. and B.Sc. from Alexandria University, Egypt. Education: Ph.D. (2002), M.Sc. (1995), B.Sc. (1992) in Computer Science His research spans computer networking, internet measurements, peer-to-peer systems, and routing protocols, with significant contributions to network security and quantum key distribution. His work addresses censorship resistance, blockchain infrastructure, vehicular network reliability, and wireless sensing. Recent publications analyze censorship techniques, decentralized network vulnerabilities, and protocol optimizations. He received the prestigious National Science Foundation Faculty Early CAREER Award (2004) and Best Paper Award (2006) for his work in virtualization and grid management. Scientific Awards: National Science Foundation Faculty Early CAREER Award (2004) Best Paper Award, IFIP/IEEE International Workshop on End-to-End Virtualization and Grid Management (2006) He has secured multiple grants including Fulbright Junior Faculty Development Program funding (2022) and research grants from NCSU Institute for Next Generation IT Systems for WLAN security and congestion control projects.

• Machine Learning
• Robotics
• Computer Vision
• +12 more

Alberto Tellaeche Iglesias is a Lecturer at the University of Deusto's College of Engineering, Department of Computing, Electronics and Communication Technologies. He holds a Ph.D. in Systems Engineering and Automation (UNED, 2008) and an M.Sc. in Automation and Electronics Engineering (University of Deusto, 2001). With over 17 years in industrial R&D, he has worked at Tekniker Foundation (2007–2019) and led research projects under European FP7/H2020 and national programs. Ph.D., Systems Engineering and Automation, UNED (2008) M.Sc., Automation and Electronics Engineering, University of Deusto (2001) His research focuses on Machine Learning , Robotics , and Computer Vision , particularly for industrial automation and precision agriculture. He has published 15 recent papers on topics like 3D vision systems, federated learning for defect detection, and hybrid classifiers for agricultural monitoring. His work bridges Pattern Recognition and Industrial Automation , with applications in quality control, human-robot interaction, and smart cities. Grants and projects include EU-funded AI-Driven Cognitive Robotic Platforms (2021–2024), HAZITEK (2019–2022), and national initiatives like Edge Technologies for Industrial Distributed AI (2021–2024). He has supervised the thesis 'Progress in Industrial Photogrammetry' (2019) and serves on doctoral committees. He previously worked at Tekniker Foundation's Smart and Autonomous Systems unit and is part of interdisciplinary teams integrating 3D Vision and Deep Learning for industrial applications.

• Optics
• Photonics
• Thin Films
• +6 more

Laetitia Abel-Tiberini is a Lecturer at Centrale Marseille , affiliated with the Institut Fresnel . Her research focuses on Optics , Photonics , and Thin Films , particularly in optical coatings, biosensors, and integrated optics systems. Academic Rank: Lecturer Department: Institut Fresnel Her research interests include: Development of high-performance optical filters for compact spectrometers Application of Whispering Gallery Mode sensors in medical diagnostics Advancements in nulling interferometry for space exploration Characterization of chalcogenide thin films for infrared applications Recent publications highlight her work in: Active microresonators for nanoparticle detection Non-invasive optical techniques for endothelial cell analysis Precision metrology of thin film thickness and uniformity She has received recognition through election to the CSA, CNU 63 and has supervised doctoral student Et-Tijani el Metouy . Her work bridges theoretical optics with practical applications in healthcare and space technology.

• Physics for Life Sciences
• Environmental Physics
• Cultural Heritage Physics
• +3 more

Thibault Pierre is a Full Professor at the Department of Physics, University of Trieste, specializing in Physics for Life Sciences, Environment, and Cultural Heritage. He serves as a member of the Department's Board and Boards of Studies for Physics programs SM20 and SM23. His academic work is centered within the Optimal Imaging and Tomography research group under the Interdisciplinary and Applied Physics and Technology strand. Professor Pierre's research interests span Physics for Life Sciences, Environmental Physics, Cultural Heritage Physics, Imaging Techniques, Tomography, and X-ray Physics. His work bridges fundamental physics with practical applications in biological systems, environmental studies, and cultural heritage preservation. His expertise lies particularly in developing and applying advanced imaging methodologies to solve complex problems across these disciplines. His recent publication record demonstrates a strong focus on cutting-edge X-ray imaging techniques, particularly speckle-based methods, tensor tomography, and phase-contrast imaging. These techniques are applied across diverse domains including biomedical research (human placenta, cerebellum imaging), cultural heritage (archaeological skeletal remains analysis), and materials science (composite materials, carbon fiber characterization). His work shows a consistent trajectory toward higher resolution, faster acquisition, and more comprehensive multi-modal imaging capabilities. Professor Pierre is actively involved in the 'Beyond Bones: Applying Innovative Scientific Approaches to Paleontology and Archaeology to Reveal the Secrets of Dietary Habits' research project as a Scientific Actor. This project exemplifies his interdisciplinary approach, applying physics-based imaging techniques to archaeological questions. He is a key member of the Optimal Imaging and Tomography research group, which appears to be associated with the newly established OPTIMATO (OPTimal IMAging and TOmography) laboratory mentioned in his 2024 publication. His work with the Unified Modulated Pattern Analysis (UMPA) model suggests leadership in developing computational frameworks for advanced imaging data analysis.

Massimiliano GuasoniView profile

Research Fellow

• Nonlinear optics
• Fiber optical amplifiers and oscillators
• Integrated photonics
• +2 more

Massimiliano Guasoni is a Principal Research Fellow at the Optoelectronics Research Centre (ORC), University of Southampton. He leads the Multimode Photonics Group and holds an Associate Professor equivalence status. His research program focuses on nonlinear dynamics in multimode waveguides with applications in optical amplification and integrated photonics. Guasoni actively supervises PhD students and contributes to advanced photonics education. His primary research interests include: Nonlinear optics in complex waveguide systems Fiber optical amplifiers and oscillators for high-power applications Integrated photonic circuits for signal processing Multimode light shaping from fibers to nanodevices All-optical reconfigurable photonics systems Guasoni's publication record demonstrates consistent advancement in multimode photonics, with recent work spanning sub-nanosecond optical switching, on-chip multimode integration, and novel amplifier designs. His projects bridge fundamental nonlinear dynamics with practical device development for telecommunications and sensing applications. Major scientific recognition includes: ERC Starting Grant (2018) for project MODES Marie Curie Individual Fellowship (2016) Guasoni co-designed and teaches the MSc module 'Signal Processing and Machine Learning in Photonics' (OPTO 6017). He currently supervises PhD students Pooja Uday Naik and Di Yu within the ORC. His research is supported by significant grants including an EPSRC project on 'Self-organized light in multicore optical fibers' as Principal Investigator since 2020. The Multimode Photonics Group maintains strong industry and academic collaborations focused on next-generation optical technologies.

• Applied Physics
• Quantum Computing
• Superconductivity
• +3 more

Valtteri Veli Lahtinen is a Research Fellow in the Department of Applied Physics at Aalto University. His work focuses on quantum computing, superconductivity, and computational methods in physics, particularly finite element analysis and electromagnetic modeling. He is affiliated with the Quantum Computing and Devices research group. His research spans superconducting materials, microwave resonators, and high-temperature superconductors. He has contributed to advancements in HTS magnet design and computational modeling techniques, including thin-shell approaches and critical current density estimation. Recent publications highlight his expertise in photon-number-dependent Lamb shifts, dielectric loss analysis, and thermodynamic modeling of superconducting systems. His work integrates theoretical physics with applied computational methods.

Rob PhillipsView profile

Professor

• Biophysics
• Molecular Biology
• Cellular Biology
• +5 more

Rob Phillips is the Fred and Nancy Morris Professor of Biophysics, Biology, and Physics at the California Institute of Technology (Caltech). He received his B.S. from the University of Minnesota (1986) and Ph.D. from Washington University (1989). He has held positions at Caltech since 1997, including Clark Millikan Visiting Assistant Professor (1997), Professor (2000-2011), and Morris Professor (2012-present). University: California Institute of Technology Departments: Biophysics, Biology, Physics Email: phillips@pboc.caltech.edu His research focuses on developing quantitative theoretical models to describe biological phenomena, with experimental validation. Key areas include genome organization, energy flow in biological systems, and ecological roles of viruses. His lab collaborates across disciplines, integrating Biology, Bioengineering, Biochemistry, Applied Physics, and Physics. Recent publications address microtubule dynamics, gene regulation out of equilibrium, and phage-host interactions. His work combines theoretical frameworks with precision experiments, emphasizing active matter physics and non-equilibrium biophysics. Scientific Awards: Fred and Nancy Morris Professorship The lab trains graduate students from multiple departments, though specific advisee names are not listed. Research is supported by his professorship and institutional resources at Caltech.

Yahya Rahmat-SamiiView profile

Professor

• Electromagnetics
• Satellite Communication Antennas
• Personal Communication Antennas
• +5 more

Yahya Rahmat-Samii is a Distinguished Professor and holder of the Northrop Grumman Chair in Electrical Engineering/Electromagnetics within the Department of Electrical and Computer Engineering at the University of California, Los Angeles (UCLA). He directs the Antenna Research, Analysis, and Measurement Laboratory, focusing on cutting-edge electromagnetic systems for space, medical, and communication applications. His research spans electromagnetics with specialization in satellite communication antennas, personal communication antennas (including human interaction effects), biotelemetry, RFID applications, and antennas for remote sensing and radio astronomy. Recent work emphasizes CubeSat antenna miniaturization, implantable/wearable medical devices, and reconfigurable systems using liquid metal and 3D printing. His laboratory pioneers innovations in antenna measurement techniques and optimization algorithms. Analysis of his 15 most recent publications reveals dominant trends in space-constrained antenna design for CubeSats, biomedical applications (ingestible/implantable systems), and reconfigurable structures using novel materials. Key subfields include orbital angular momentum communications, liquid metal microfluidics, metamaterial lenses, and brain-inspired optimization algorithms, demonstrating strong interdisciplinary connections between electromagnetics, aerospace engineering, and medical technology. His scientific awards include the 2019 Ellis Island Medal of Honor, 2017 ACES Computational Electromagnetics Award, 2009 IEEE Antennas and Propagation Society Distinguished Achievement Award, 2008 National Academy of Engineering membership, and numerous IEEE and NASA recognitions. Notable honors span fundamental contributions to reflector antennas, near-field measurements, and optimization algorithms. Rahmat-Samii leads the Antenna Research, Analysis, and Measurement Laboratory at UCLA, which develops advanced measurement systems including bipolar near-field ranges and diagnostic techniques. The lab collaborates extensively with NASA, JPL, and medical research institutions on projects ranging from Mars rover communications to brain-machine interface antennas, maintaining leadership in both theoretical electromagnetics and practical antenna implementation.

Gary J. ChengView profile

Professor

• Laser materials processing
• Nanomanufacturing
• Advanced materials synthesis
• +7 more

Professor Gary J. Cheng is a distinguished faculty member at Purdue University's Edwardson School of Industrial Engineering, with a courtesy appointment in the School of Materials Engineering. He holds numerous prestigious fellowships including AAAS, ASME, SME, RSC, RSA, and ISNM. Dr. Cheng received his PhD in Mechanical Engineering from Columbia University in 2002 and has established himself as a leading researcher in laser-based manufacturing and nanomaterials processing. His research focuses on advanced materials synthesis and processing , specifically in scalable manufacturing of 0D-3D micro/nanostructures, laser matter interaction, and mechanical/physical property enhancement of materials. Applications span energy transport, conversion and storage, load bearing, biomedical devices, and electrical and optical systems. Dr. Cheng heads the Scalable Micro Nano Manufacturing Lab (SMNML) and has secured significant research funding, including an NSF CAREER Award and ONR Young Investigator Award. Dr. Cheng teaches core manufacturing courses including IE370 'Manufacturing Process I', IE 470 'Manufacturing Process II', IE 570 'Advanced Manufacturing Process', and IE 670 'Advanced Topics in Nano-Manufacturing.' His publication record shows consistent high-impact output with over 200 peer-reviewed articles in top journals including Nature Materials, Advanced Materials, and Science Advances, with research trends indicating increasing focus on nanomanufacturing, energy applications, and biomedical materials. Among his numerous accolades are the ASME Milton C. Shaw Manufacturing Research Medal (2022), Purdue College of Engineering Outstanding Faculty Mentor Award (2021), and ASME Blackall Machine Tool and Gage Award (2025). He serves as Associate Editor for the Journal of Manufacturing Science and Engineering and Journal of Manufacturing Process, and as Subject Editor for the Journal of Materials Processing and Technology. Dr. Cheng has successfully mentored multiple PhD students including Maithilee Motlag, Bill Bihlman, and Biwei Deng. His research has been supported by significant grants from NSF, ONR, and other funding agencies, with several projects exceeding $1 million in value. The Scalable Micro Nano Manufacturing Lab continues to innovate in laser-based processing techniques with applications across multiple industries.

• Adaptive Video Streaming
• Internet Performance Measurements
• Peer-to-Peer (P2P) Networks
• +3 more

Turhan Tunalı is a distinguished Professor in the Department of Computer Engineering at Izmir University of Economics . He holds a BSc in Electrical Engineering from Middle East Technical University (1978), an MSc in Applied Statistics from Ege University (1980), and a DSc in Systems Science and Mathematics from Washington University in St. Louis (1985). Current Professor at Izmir University of Economics (since 2009) Director, Ege University International Computer Institute (2001–2009) Dean, Izmir University of Economics (2010–2014) Visiting Professor at Loyola University Chicago (2000–2001) His research focuses on adaptive video streaming and Internet performance measurements , with publications spanning P2P networks, WDM optical networks, and scalable video encryption. Recent work includes comparative studies on MLR routing, shared backup strategies, and hierarchical clustering frameworks for streaming systems. Key article trends reveal expertise in network resilience , adaptive algorithms , and optical communication design . He has collaborated extensively with researchers like Muge Sayit, Gül Boztok Algın, and Sercan Demirci on these topics. As an active academic leader, he has directed research institutes and served as department head, contributing to the advancement of computer engineering through both theoretical and applied research.

• Computer Science
• Software Engineering
• Programming Languages
• +1 more

Lecturer Yılmaz EROĞLU is affiliated with Kastamonu University's Vocational School, Department of Computer Technologies, focusing on programming languages and software education. He has taught courses such as System Analysis and Design , Visual Programming , and Graphics and Animation at the associate degree level since 2009. Education: Master's Degree in Electronics and Computer Education (Thesis) from Gazi University (2007). Education: Bachelor's Degree in Computer Education from Gazi University (2003). His research centers on programming languages and computer software, with a focus on algorithm design, video processing, and historical document analysis. His publications include a journal article on Ottoman script recognition and conference papers exploring H.264 bitstream segmentation. The scientific impact metrics indicate a focus on teaching and applied research, with no recorded citations or h-index data. He has collaborated with Halil İbrahim Eskikurt from Sakarya University on video processing projects.