جست‌وجوی استاد و پژوهشگر

• Cryptography
• Computer Science
• High-Performance Computing (HPC)
• +۳ مورد دیگر

Dr. Michał Klisowski is a Lecturer at the Fundacja Uniwersytetu Marii Curie-Skłodowskiej , affiliated with the Faculty of Mathematics, Physics and Computer Science and the Department of Information Systems Software . His research focuses on cryptography, high-performance computing, and media truth detection. Research Highlights: Cryptographic protocols, energy-efficient computation, media credibility analysis Email: michal.klisowski@mail.umcs.pl His recent publications address topics such as multicore key exchange protocols , RAPL power monitoring , and fake news detection using machine learning. He holds an ORCID identifier and has published in information and communication technology domains. Collaboration & Tools: Utilizes ORCID and Scopus for academic visibility, with a focus on integrating theoretical cryptography with practical computational efficiency.

Sufyan Ali Memonمشاهده پروفایل

استاد

• Target Tracking
• Unmanned Aerial Vehicles
• Data Association
• +۶ مورد دیگر

Sufyan Ali Memon serves as a Professor in the Department of Defense Systems Engineering at Sejong University, Republic of Korea. His academic journey includes Assistant Professor positions at Isra University (2016-2017), UNIST as Postdoc Research Associate (2017-2018), Indus University (2018-2019), and Mehran University of Engineering & Technology (2019-2021) before joining Sejong University in 2021. His research focuses on Tracking, Estimation, Guidance, Navigation, and Control systems, with particular expertise in multi-target tracking in cluttered environments, UAV trajectory estimation, and smoothing algorithms. His fingerprint analysis reveals strong activity in Target Tracking (97%) , Multi-Target Tracking (83%) , Unmanned Aerial Vehicles (37%) , and State Estimation (27%) . Analysis of his 42 research outputs (2015-2025) shows consistent growth in publication output, with 8 papers in 2025 alone. His work spans journals like Expert Systems with Applications , IEEE Access , and Sensors , demonstrating interdisciplinary applications from defense systems to social media analysis and pipeline inspection robotics. The publications reveal a clear evolution from fundamental tracking algorithms toward practical implementations in UAVs, industrial systems, and security applications. h-index 12 330 Citations Web of Science ResearcherID: AAD-9239-2019 His professional background includes significant contributions to smoothing algorithms for target tracking in cluttered environments, with major achievements including dynamic trajectory estimation for UAVs and multi-UAV tracking systems. Current research appears focused on integrating machine learning with traditional tracking systems and expanding applications to industrial inspection and security domains.

Riccardo Lazzerettiمشاهده پروفایل

دانشیار

• Privacy-Preserving Technologies
• Secure Multi-Party Computation
• Biometric Security
• +۵ مورد دیگر

Riccardo Lazzeretti serves as Associate Professor at Sapienza University of Rome since September 2022, following progression from Assistant Professor roles (RTD-A/B) at the same institution from 2017-2022. His academic trajectory includes post-doctoral research at the University of Siena's VIPP group, a research grant at the University of Padua, and industry experience at Italian startup Cynny s.p.a. His educational foundation comprises: MSc in Computer Science Engineering, University of Siena (2007) PhD in Information Engineering, University of Siena (2012) Lazzeretti's research centers on privacy-preserving technologies with emphasis on Secure Multi-Party Computation for encrypted signal processing. His work spans biometric security (including multi-biometric authentication), IoT security protocols, blockchain applications in healthcare, and social network misinformation detection. Recent publications demonstrate deep integration of cryptographic techniques with machine learning for resource-constrained devices and critical infrastructure protection. Analysis of his 15 most recent publications reveals dominant trends in IoT/drone security (32% of works), browser/API vulnerabilities (13%), and privacy-preserving architectures (27%). His research consistently bridges theoretical cryptography with practical system implementations, particularly for emerging technologies like NDN and programmable data planes. His scholarly recognition includes: SIGMM Test of Time Paper Honourable Mention (2021) for Multimedia Security contributions IET Biometrics Premium Best Paper Award (2021) Lazzeretti has supervised graduate students at the University of Siena and secured research funding through collaborations with NATO's CMRE, Digital Catapult (UK), and IMT Lucca. Current projects include privacy-preserving consensus algorithms for IoT and blockchain-based health applications. He maintains active partnerships with European research entities including Centre for Maritime Research and Experimentation and Digital Catapult. His laboratory affiliations encompass the VIPP research group at University of Siena and ongoing collaborations with Sapienza's cybersecurity initiatives, focusing on cross-disciplinary teams integrating signal processing, cryptography, and machine learning expertise.

• Control and system engineering
• Thermal engineering
• Heat and Mass Transfer
• +۶ مورد دیگر

Niccolo Giannetti is currently an Associate Professor at Waseda University, affiliated with the Department of Applied Mechanics and Aerospace Engineering and the Waseda Institute for Advanced Study. His career spans roles including Assistant Professor at Waseda University (2017-2021) and Research Associate (2014-2017). Doctor of Engineering, Waseda University Professional Engineer, Association of Professional Engineers of Florence Giannetti's research focuses on thermal engineering and fluid dynamics , particularly in heat and mass transfer, thermodynamic optimization, and absorption/refrigeration systems. He explores microchannel heat exchangers , two-phase flow distribution , and genetic programming for system modeling . His work integrates machine learning for performance prediction and variational principles in entropy production analysis. His recent publications emphasize heat pump optimization , ANN-based HVAC monitoring , and sorption systems . Awards include recognition from JSRAE, Elsevier, and IIR. Giannetti contributes to international standards (ISO, IEA) and serves on conference committees (ISHPC, IIR). Key publications address flow maldistribution, void fraction modeling, and energy-efficient desiccant systems using ionic liquids.

• Information Theory
• Coding Theory
• Statistical Learning Theory
• +۳ مورد دیگر

Shunsuke Horii is an Associate Professor at the Center for Data Science, Waseda University. His research spans information theory, coding theory, statistical learning theory, and data science applications. He actively collaborates with industry through initiatives like the Waseda Data Science Consortium. Education: Ph.D. in Science and Engineering from Waseda University (2009), Master's from Waseda University Graduate School of Science and Engineering (2004). Research Focus: Addresses causal effect estimation in data science using Bayesian decision theory, sparse modeling, and optimization techniques like ADMM and variational inference. Develops efficient algorithms for multiuser communication, matrix completion, and privacy-preserving distributed computing. Teaching: Instructs courses on statistics literacy, data science, and programming with Python/R across multiple academic quarters. Grants: Leads projects funded by Japan Society for the Promotion of Science, including causal inference frameworks, product recommendation systems, and business analytics. Publications: 21 papers with 61 Scopus citations, focusing on LP decoding, Bayesian hierarchical models, and statistical causal analysis.

• Thermal Engineering
• Environmental Engineering
• Energy Saving
• +۶ مورد دیگر

Dr. Kiyoshi Saito is a distinguished Professor at Waseda University, Faculty of Science and Engineering, School of Fundamental Science and Engineering, specializing in Mechanical Engineering. He currently serves as President of the Japan Society of Refrigerating, Air-Conditioning Engineers (2023-present) and holds significant government advisory roles including Chairman of the Energy Saving Subcommittee at Japan's Ministry of Economy, Trade and Industry. His academic career spans over two decades at Waseda University, progressing from Research Associate (1996-1998) to Associate Professor (2002) and ultimately to Professor (2008-present), while also maintaining adjunct positions at the University of Indonesia (2014-present) and University of the Philippines (2011-present). Dr. Saito earned his Dr. Engineering degree from Waseda University in 1997, following his undergraduate studies in Mechanical Engineering at the same institution in 1992. His research focuses on thermal engineering, environmental engineering, energy saving technologies, decarbonization, and non-fossil energy conversion. His work bridges fundamental thermal science with practical applications in refrigeration, air conditioning, and heat pump systems, addressing critical challenges in energy efficiency and environmental sustainability. His recent publications demonstrate a strong emphasis on advanced thermal systems, with particular focus on two-phase flow phenomena, heat exchanger optimization, and innovative monitoring techniques using artificial intelligence. Dr. Saito's research integrates traditional thermal engineering principles with cutting-edge computational methods, including machine learning approaches for performance prediction and optimization of HVAC systems. His work on low-GWP refrigerants and next-generation heat exchanger designs reflects the industry's shift toward environmentally sustainable cooling technologies. Minister of Education, Culture, Sports, Science and Technology Award (2022) Multiple Waseda Research Awards (2020-2022) Japan Society of Mechanical Engineers Award (2013) Multiple Academic Awards from Japan Society of Refrigerating, Air-Conditioning Engineers Best Paper Awards from ERDT and SAREK (2010) Dr. Saito actively contributes to national energy policy through his committee memberships with Japan's Ministry of Economy, Trade and Industry, where he chairs several critical subcommittees focused on energy saving standards and new energy development. His laboratory at Waseda University maintains strong industry connections and collaborates internationally, particularly with Southeast Asian institutions, reflecting his adjunct professorships and research interests in tropical climate applications of thermal systems. His work continues to influence both academic research and industrial practice in the field of thermal engineering and sustainable energy systems.

• Nuclear Engineering
• Reactor Physics
• Fuel Performance
• +۲ مورد دیگر

Akifumi Yamaji is a Professor at Waseda University 's Faculty of Science and Engineering, with a distinguished career in nuclear engineering and reactor physics. His work focuses on severe accident analysis , fuel performance , and advanced reactor design , particularly for supercritical water-cooled reactors and fast breeder reactors . He leads projects using the Moving Particle Semi-implicit (MPS) method for simulating molten core behavior and debris interactions. Education: Ph.D. from the University of Tokyo's Department of Quantum Engineering and Systems Science. Awards: Waseda University Teaching Award (2020), Atomic Energy Society of Japan Thermal Hydraulics Division Award (2018), JNST Most Cited Article Award (2013), and AESJ Emerging Technology Award (2007). Research Interests span reactor physics, accident tolerant fuels, computational fluid dynamics, and molten corium behavior during severe accidents. His studies often integrate experimental validation with advanced numerical methods to improve reactor safety and performance. Key Article Trends show extensive use of the MPS method for simulating corium spreading , debris cooling , and fuel cladding performance . Topics include supercritical water reactors , FeCrAl-ODS alloy development , and Fukushima Daiichi accident progression modeling . Scientific Awards Waseda University Teaching Award (2020) Atomic Energy Society of Japan Thermal Hydraulics Division Award (2018) JNST Most Cited Article Award (2013) Atomic Energy Society of Japan Emerging Technology Award (2007) Professional Leadership includes chairing the Fukushima Daiichi Accident Investigation Subcommittee and serving on the American Nuclear Society Untermeyer Cisler Reactor Technology Medal committee. He contributes to Generation IV International Forum and OECD Nuclear Energy Agency projects.

Rodrigo C. de Lamareمشاهده پروفایل

دانشیار

• Signal Processing
• Wireless Communications
• MIMO Systems
• +۷ مورد دیگر

Rodrigo C. de Lamare is a Reader in the Department of Electronics at the University of York, United Kingdom. He holds a Diploma from UFRJ, an MSc and PhD from PUC-RIO, and is a Member of the Institution of Engineering and Technology (MIET) and Senior Member of IEEE (SMIEEE). His educational background includes a Postgraduate Certificate of Academic Practice from the University of York (2008), a PhD in Structures and algorithms for multiuser detection and interference suppression in DS-CDMA systems from PUC-RIO (2004), a Master's in Speech coding at rates below 2 kb/s from PUC-RIO (2001), and a Diploma in A CELP speech coder for Brazilian Portuguese from UFRJ (1998). Dr. de Lamare's research spans multiple areas of signal processing and communications, with a strong focus on adaptive algorithms for wireless systems. His work addresses fundamental challenges in multiuser detection, interference suppression, beamforming, and space-time processing. He has made significant contributions to reduced-rank adaptive filtering techniques that balance performance with computational complexity, which is crucial for practical implementation in modern communication systems. His publication record shows a consistent trajectory of high-impact research in IEEE journals and conferences, with recent work focusing on large-scale MIMO systems, cooperative communications, and advanced signal processing techniques for next-generation wireless networks. The research demonstrates increasing complexity in addressing interference management in dense wireless environments while maintaining computational feasibility. As an educator, Dr. de Lamare teaches courses in Error Control Coding, Detection and Estimation Theory, Digital Signal Processing, Information Theory, Engineering Mathematics, and Emerging Technologies, reflecting the breadth of his expertise. His academic supervision includes work with PhD students and visiting academics, though specific names are not provided in the available information. His professional activities encompass extensive conference participation and contributions to the academic community through technical program committees and editorial work.

Sufian Yousefمشاهده پروفایل

دانشیار

• Wireless Networks
• RF Systems
• Noise Cancellation
• +۸ مورد دیگر

Associate Professor at Anglia Ruskin University's School of Engineering and the Built Environment within the Faculty of Science and Engineering. Director of the Telecommunications Engineering Research Group with expertise in electronic design of telecommunication networks and wireless systems. Education: PhD in Telecommunication Engineering, Anglia Ruskin University MSc in Telecommunications Systems Management, Anglia Polytechnic University BSc in Electrical & Electronic Engineering, Baghdad University Research focuses on wireless networks , RF systems , noise cancellation , and mobile communications across 2G-5G generations. His work extends to cyber security , RF MEMs , mobile ad hoc networks , and emerging areas including cloud computing and artificial intelligence in networking systems. Recent publications reveal strong emphasis on network performance optimization, security enhancements, and energy efficiency in wireless systems, with significant contributions to mobile ad hoc networks, cloud offloading algorithms, and software-defined networking architectures. Awards: Royal Academy of Engineering award (1999) Supervised 12 PhD students and 2 MPhil students to completion as primary supervisor, with 2 additional PhD completions as secondary supervisor. Currently guides 4 PhD candidates. Secured competitive grants including Newton-Bhabha Fund (2016) and UKIERI UK-India Education and Research Initiative (2014-2016) for collaborative research in mobile accessibility and network security. Leads consortium bids for EU Horizon 2020 projects and directs research in RF MEMs sensor design and mobile multiprotocol switches, with active industry collaborations including Sedgewall Ltd and Glazing Vision.

• Image Processing
• Signal Processing
• Data Compression
• +۴ مورد دیگر

Dr. Guang Deng serves as an Adjunct Associate Professor in the College of Engineering at La Trobe University, where he has maintained academic appointments since 1994. His technical expertise bridges communications engineering, signal processing, and advanced image analysis with practical applications in medical devices and computer vision systems. Academic Background: BSc from Sun Yat-Sen University MEng from Chinese Academy of Sciences PhD from La Trobe University Dr. Deng's research program centers on generalized linear image processing and statistical signal processing , with significant contributions to lossless image compression algorithms and noise reduction techniques specifically engineered for cochlear implant devices. His methodology combines theoretical mathematical frameworks with practical hardware implementation constraints, particularly evident in his recent work on fixed-point acceleration methods for resource-limited systems. His publication trajectory reveals consistent innovation in image filtering techniques, evolving from foundational work on discrete Laplacian operators to contemporary deep learning applications in marine imaging. Key thematic developments include the progression from traditional signal processing to hybrid approaches incorporating machine learning, with growing emphasis on real-world constraints like embedded system limitations and illumination variability in agricultural imaging. Funded Research Initiatives: Virtual Speech Pathologist (National ICT Australia, 2013-2016) ARC Centre of Excellence in Electromaterial Sciences (Australian Research Council, 2009-2013) Dr. Deng maintains active research collaborations across engineering and life sciences domains, particularly evident in his cross-disciplinary work on plant phenotyping systems and medical device signal processing. His current research demonstrates increasing focus on edge computing applications and biometric security systems alongside his longstanding image processing expertise.

Christel Baierمشاهده پروفایل

استاد

• Probabilistic systems
• Modeling and specification formalisms
• Semantics of coordination languages
• +۴ مورد دیگر

Christel Baier is a Full Professor for Algebraic and Logical Foundations of Computer Science at the Faculty of Computer Science, Technical University Dresden. She has held this position since 2006, following her role as Professor for Theoretical Computer Science at Rheinische-Friedrich-Wilhelms Universität Bonn (1999-2006). Her research focuses on probabilistic systems, modeling and specification formalisms, semantics of coordination languages, probabilistic model checking, quantitative analysis, temporal and modal logics, and automata theory. Her work bridges theoretical computer science with practical applications in system verification and analysis, particularly in developing formal methods for probabilistic and timed systems. Professor Baier's publications demonstrate consistent contributions to theoretical computer science with a clear trajectory from foundational work in automata theory to applied model checking techniques. Her research shows particular strength in probabilistic verification methods and their application to complex system analysis. Award for visiting professor (1 month in both years), CNRS/ENS Cachan, France (2005 and 2006) ETAPS Best Theory Paper Award (2008) Professor Baier has advised numerous PhD students throughout her career, including Alexander Asteroth, Nathalie Bertrand, Marcus Groesser, Verena Wolf, and Frank Ciesinski. She currently supervises 4 PhD students at TU Dresden. She has served as Chair of the examination board for bachelor, master and diploma programs in Computer Science at TU Dresden and has been Principal Investigator for 4 national projects funded by the German Research Foundation (DFG). Her research group at TU Dresden focuses on advancing formal verification methods for probabilistic systems. She maintains active involvement in the academic community through editorial board membership of the Journal of Universal Computer Science, steering committee participation for major conferences, and extensive program committee service for top-tier theoretical computer science venues.

Huanping Daiمشاهده پروفایل

دانشیار

• Auditory Perception
• Psychophysics
• Speech Processing
• +۷ مورد دیگر

Huanping Dai is an Associate Professor in the Department of Speech, Language & Hearing Sciences at the University of Arizona. His research focuses on auditory perception, psychophysics, and the neural mechanisms underlying sound detection and discrimination. His work explores topics such as spatial hearing, temporal integration, and the influence of sensory cues on perceptual decisions. Key areas of investigation include interaural time and level differences (ITD/ILD), the impact of training and experience on auditory skills, and the theoretical foundations of signal detection in complex acoustic environments. He has extensively studied how temporal and spectral features of sounds affect detectability and discrimination thresholds. Dr. Dai’s recent studies highlight sex differences in auditory perception and the role of learning in refining binaural processing. His research also addresses optimal decision-making strategies in sensory systems, combining empirical data with advanced statistical modeling. His lab investigates signal detection mechanisms in both expected and unexpected contexts, with applications to hearing aid design and understanding auditory disorders. Collaborative work focuses on bridging psychophysical findings with computational models of auditory processing.

Suman Banerjeeمشاهده پروفایل

دانشیار

• Wireless Networking
• Mobile Computing
• Network Measurement
• +۴ مورد دیگر

Suman Banerjee is an Associate Professor in the Department of Computer Sciences at the University of Wisconsin-Madison, with an affiliate appointment in the Department of Electrical and Computer Engineering. He leads the WIsconsin WIreless and NetworkinG Systems (WiNGS) Laboratory, focusing on wireless/mobile networking, distributed systems, and cyber-physical systems. His research includes innovative projects like Airshark (non-WiFi interference detection), WiRover (vehicular connectivity), and Wiscape (wide-area cellular monitoring). He has received the ACM SIGMOBILE Rockstar Award (2013) and NSF Career Award (2008). Education: PhD in Computer Science from University of Maryland (2003). Teaching includes courses on mobile systems, wireless networking, and computer networks. Professional service includes chair roles at ACM MobiCom, IEEE SECON, and ACM SIGMOBILE leadership. Key contributions span spectrum sensing, vehicular networks, and network measurement techniques.

Xiang Chenمشاهده پروفایل

استاد

• Control Systems
• Autonomous Systems
• Robotics
• +۶ مورد دیگر

Dr. Xiang Chen is a Professor in the Department of Electrical and Computer Engineering (ECE) at the University of Windsor. He holds a PhD from Louisiana State University (1998), an MSc (1996), and a BEng from Huazhong University of Science and Technology (1985). His research focuses on advanced control systems, including multi-objective complementary control (MOCC), autonomous systems, and automotive control. He is also involved in model-guided data-driven optimization and sensor networks. Dr. Chen serves as an Associate Editor for the SIAM Journal on Control and Optimization and a Technical Editor for the IEEE/ASME Transactions on Mechatronics . He is a member of IEEE, ASME, and SAE, and holds P.Eng certification in Ontario. His research interests span control theory, robotics, and systems engineering, with recent work addressing cybersecurity in software systems, telecommunication protocols, and materials science applications. His publications in 2025 include advancements in vulnerability assessment via machine learning, beam management in wireless networks, and studies on epigenetics and psoriasis. Dr. Chen’s contributions bridge theoretical control systems with practical applications in automotive, healthcare, and telecommunications. His work emphasizes interdisciplinary solutions to complex engineering challenges.

Djamila Aouadaمشاهده پروفایل

استادیار

• Computer Vision
• Signal Processing
• Image Processing
• +۳ مورد دیگر

Djamila Aouada is an Assistant Professor and Senior Research Scientist at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), where she heads the Computer Vision, Imaging, and Machine Intelligence (CVI2) research group. She earned her State Engineering degree from École Nationale Polytechnique, Algeria, and PhD from North Carolina State University. Her research spans computer vision, signal processing, pattern recognition, and data modeling. Dr. Aouada leads several national and European projects including FNR FAVE, 3D-Act, and H2020 STARR, focusing on AI-driven solutions for industrial and security applications. She has received four IEEE Best Paper Awards for her contributions. Dr. Aouada has supervised 5 completed PhD theses and currently mentors 5 PhD candidates, while maintaining collaborations with Los Alamos National Laboratory and Mitsubishi Electric Research Labs. She serves as Senior IEEE Member and previously chaired IEEE Benelux Women in Engineering.