جست‌وجوی استاد و پژوهشگر

Masoud Salehiمشاهده پروفایل

دانشیار

• Error Correcting Codes
• Information Theory
• Digital Communications
• +۵ مورد دیگر

Dr. Masoud Salehi is an Associate Professor and Associate Chair for Graduate Studies in the Department of Electrical and Computer Engineering at Northeastern University, USA. He holds a BS (Summa Cum Laude) from Tehran University and MS/PhD from Stanford University. Previously, he worked at Isfahan University of Technology and Tehran University. His research focuses on error-correcting codes, information theory, digital communications, and physical-layer security. He has authored influential textbooks including Communication Systems Engineering (Prentice-Hall) and Contemporary Communication Systems Using MATLAB . Education: BS (Tehran U.), MS/PhD (Stanford U.). Visiting Professor at Eindhoven University of Technology (1988-1989). Research Interests : Network information theory, source-channel matching, data compression, turbo coding, coding for fading channels, digital watermarking. Recent work emphasizes physical-layer security in multi-user wireless networks and jamming mitigation strategies. Grants & Industry : Supported by NSF, GTE, NUWC, CenSSIS, Analog Devices. Consulted for Teleco Oilfield Services and AT&T. Awards : 2024 Outstanding Faculty Service Award. Editorial Board member of International Journal of Electronics and Communications . Key Contributions : Developed precoding techniques for MIMO systems, game-theoretic jamming mitigation, and LDPC decoding algorithms. Active in the Institute of Information Assurance (IIA) and Communications, Control & Signal Processing research group at Northeastern.

Hessam Mahdavifarمشاهده پروفایل

دانشیار

• Coding and Information Theory
• Wireless Communications
• Data Privacy and Security
• +۵ مورد دیگر

Hessam Mahdavifar is an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University's College of Engineering. His research focuses on coding theory, wireless communications, data privacy, and privacy-preserving computing. He holds a PhD from the University of California San Diego (2012), an MS from UCSD (2009), and a BS from Sharif University of Technology (2007). Key research areas include analog subspace coding for non-coherent networks, polar coding for low-capacity channels, and privacy-preserving protocols for distributed learning. His work bridges information theory with practical applications in secure communication and federated learning systems. Notable contributions include analog secret sharing frameworks and coded computing techniques for resilient distributed algorithms. Awards: NSF CAREER Award (2020), Qualcomm Innovation Fellowship (2020), IEEE RFID Best Paper (2015), and International Mathematical Olympiad Silver Medal (2002/2003) Grants: NSF CAREER grant for coding subspace research, collaborative projects on polar coding and coded computing Labs/Teams: Active in Northeastern's Information Theory and Communications group, leading research on secure machine learning and wireless security His recent work emphasizes federated learning security (e.g., LightVeriFL protocols), privacy-preserving distributed algorithms, and code design for emerging communication paradigms like millimeter-wave covert systems.

Frank Leymannمشاهده پروفایل

استاد

• Software Architecture
• Pattern Languages
• Service-Oriented Computing
• +۸ مورد دیگر

Frank Leymann is a Professor of Computer Science at the University of Stuttgart, where he serves as Director and Founder of the Institute of Architecture of Application Systems. His career spans academia and industry, including 20 years at IBM Germany as a Software Architect. Research Focus: Workflow Management, Service Computing, Cloud Computing, Quantum Computing, Pattern Languages, Digital Humanities. Standards: Co-author of BPEL, BPMN, WS-RF, TOSCA, Human Task specifications. His work on quantum computing emphasizes hybrid quantum-classical applications and practical integration challenges. He pioneered the OASIS cloud standard TOSCA and developed the open-source OpenTOSCA platform, which has over 1,000 downloads. Scientific awards include an Honorary Doctorate from the University of Crete (2015), IBM Distinguished Engineer (2000), and IBM Academy of Technology membership (1996). Google Scholar cites his work over 43,300 times (H-Index 89), ranking him among the world's top computer scientists.

Kin K. Leungمشاهده پروفایل

استاد

• Wireless Communications
• Communication Networks
• Machine Learning
• +۴ مورد دیگر

Kin K. Leung is the Tanaka Chair Professor in the Electrical and Electronic Engineering and Computing Departments at Imperial College London. He serves as the Head of the Communications & Signal Processing Group (2009-2024) and Deputy Director of the University Defence Research Centre in Signal Processing. Previously, he held senior technical roles at AT&T Bell Labs and Lucent Technologies. Education: B.S. from Chinese University of Hong Kong (1980), M.S. and Ph.D. from University of California, Los Angeles (1982, 1985). Research Interests: Focuses on wireless technologies, communication networks, stochastic modeling, machine learning, optimization, and emerging quantum computing applications. His work integrates theoretical frameworks with practical implementations in multi-antenna systems, cross-layer network designs, and distributed quantum architectures. Publication Trends: Recent works (2021-2025) demonstrate a strong focus on quantum computing integration with networking systems, federated learning optimizations for edge devices, and reinforcement learning solutions for resource allocation in wireless environments. Awards and Honors: Fellow of Royal Academy of Engineering (2022) IEEE Fellow (2001) IET Fellow (2021) Royal Society Wolfson Research Merit Award (2004-2009) IEEE Communications Society Leonard G. Abraham Prize (2021) IEEE Best Survey Paper Award (2022) Grants and Leadership: Principal Investigator for EPSRC TITAN/HASC Com Hubs, DCIT Centre, and DQC & App (distributed quantum computing). Leads the Communications & Signal Processing Group and co-directs the School of Convergence Science in Space, Security and Telecoms.

Lonni Besançonمشاهده پروفایل

استادیار

• volumetric data visualization
• statistical data interpretation
• research transparency
• +۵ مورد دیگر

Lonni Besançon is an Assistant Professor of Visualization at Linköping University, Sweden, serving as a 2023 ASAPBio Fellow, Scientific Node Coordinator for the Swedish National Visualization Infrastructure InfraVis, and co-editor-in-chief of the Journal of Visualization and Interaction (JoVI). Education includes: PhD in HCI from Université Paris Saclay (2014-2017) Master of Research in HCI from Université Paris Sud (2013-2014) Exchange studies at University of Hong Kong (2013-2014) Master of Engineering from Polytech Paris Sud (2011-2014) Classe Préparatoire at Polytech Paris Sud (2009-2011) Research focuses on developing novel interaction techniques for volumetric data visualization and enhancing statistical interpretation through innovative visualizations. His work emphasizes methodological improvements in research practices, including detecting questionable research practices and enhancing transparency, robustness, and reusability of scientific outputs. Additional interests include augmented reality interfaces, collaborative visualization systems, and open science advocacy. Publications demonstrate consistent focus on augmented reality interfaces, collaborative visualization, research transparency, and statistical interpretation methods. Recent works showcase increasing emphasis on open science practices and methodological critiques, with notable contributions to understanding peer review systems and pandemic-related research evaluation. Awards and honors: ASAPBio Fellow (2023) GRD IG-RV Honorable Mention (2018) Advising and supervision includes mentorship of graduate students Xiyao Wang, Marie Cheng, and Mickael Francisco Sereno. Teaching experience encompasses courses in Interactive Information Visualization, Algorithms, Graph Theory, and Computer Security at Université Paris Saclay and Polytech Paris Sud. Leads research initiatives at Linköping Visualization Center and collaborates internationally through InfraVis. Serves on program committees for ACM IHM and IEEE EuroVis, while contributing to numerous conferences including CHI, IEEE VIS, and ISMAR.

Alexander Hirschمشاهده پروفایل

پژوهشگر

• Cardiac Magnetic Resonance Imaging
• Acute Coronary Syndrome
• Myocardial Infarction
• +۷ مورد دیگر

Alexander Hirsch is a researcher at Erasmus MC, affiliated with the Department of Radiology & Nuclear Medicine and the Cardiology division. His work focuses on advanced cardiovascular imaging techniques, particularly cardiac magnetic resonance imaging (CMR) and coronary CT angiography, with applications in myocardial disease, congenital heart defects, and arrhythmias. Institution: Erasmus MC School: Department of Radiology & Nuclear Medicine Department: Cardiology Academic Rank: Researcher His research interests include Cardiac Magnetic Resonance Imaging , Acute Coronary Syndrome , Myocardial Infarction , ST Elevation , and Computed Tomography Angiography . He investigates disease mechanisms in conditions such as hypertrophic cardiomyopathy and idiopathic ventricular fibrillation, often leveraging imaging biomarkers for early detection and risk assessment. The recent publication trends indicate a strong focus on improving imaging accuracy, longitudinal patient outcomes, and the application of novel technologies like photon-counting CT and feature tracking MRI. These efforts contribute significantly to precision diagnostics in cardiology. Alexander Hirsch has supervised several research projects, as indicated by 'Supervised Work (5)' on his profile, though specific student names are not listed. He has not received any explicitly mentioned scientific awards in the provided text. He is actively involved in a research group focused on cardiovascular imaging at Erasmus MC, collaborating with experts in radiology, nuclear medicine, and clinical cardiology to advance diagnostic methodologies and patient care.

John Daugmanمشاهده پروفایل

استاد

• Computer Vision
• Pattern Recognition
• Neural Computing
• +۳ مورد دیگر

John Daugman is a Professor of Computer Vision and Pattern Recognition at the University of Cambridge's Computer Laboratory. He holds titles of OBE (Order of the British Empire) and FREng (Fellow of the Royal Academy of Engineering). His research focuses on computer vision, pattern recognition, neural computing, and information theory, with pioneering contributions to iris recognition technology. Key research interests include biometric systems, particularly iris recognition, and the statistical foundations of pattern recognition. His work emphasizes biometric entropy, iris pattern individuality, and large-scale deployment of identification systems. Notable contributions include the IrisCode algorithm, validated through billions of comparisons across diverse populations. His publications span IEEE Transactions , IET journals, and conference proceedings, addressing topics like iris image quality, impostor distributions, and theoretical principles of randomness in biometrics. Collaborations with researchers like C. Downing have advanced iris recognition reliability and scalability. Awards include the OBE for services to technology and FREng for contributions to engineering science. His work underpins major biometric systems, including India's 1.25 billion citizen enrollment. Daugman's research bridges theoretical computer science with applied security, shaping modern biometric standards.

Lele Wangمشاهده پروفایل

استادیار

• Information Theory
• Machine Learning
• Data Science
• +۷ مورد دیگر

Lele Wang is an Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at the University of British Columbia (UBC), Vancouver. He is affiliated with the Mathematics of Information, Learning and Data (MILD) research cluster and the Institute of Applied Mathematics. His research focuses on information-theoretic approaches to data science and machine learning, with contributions to universal compression, coding theory, statistical inference on graphs, and noisy computing. Before UBC, he held postdoctoral positions at Stanford University, Tel Aviv University, and as an NSF Center for Science of Information fellow. Education: PhD in Electrical Engineering from the University of California San Diego (2015), B.E. in Academic Talent Program from Tsinghua University (2009). Research Interests: Developing tools in information theory, coding theory, high-dimensional statistics, combinatorics, random graphs, and deep generative models for data-driven challenges. Notable works include universal graph compression for stochastic block models and coding-theoretic approaches to distributed machine learning. Awards: Recipient of the 2017 IEEE Information Theory Society Thomas M. Cover Dissertation Award and NSF CSoI Postdoctoral Fellowship. His students have won multiple awards including GSI Awards and NSERC grants. Mentoring: Prioritizes student development in critical and creative thinking, offering courses in real analysis, probability theory, and theoretical frameworks. Hosts round-robin group meetings inspired by Thomas Cover to foster concise communication and problem-solving skills.

• Optical Measurement Systems
• Surface Metrology
• Microwave Technology
• +۳ مورد دیگر

Lars Bååth is a Senior Professor at Halmstad University's School of Business, Innovation and Sustainability. His research focuses on optical measurement systems, surface metrology, microwave technology, and wind turbine acoustics. He has contributed to advancements in functional surfaces, turbine noise reduction, and industrial process control through 50+ peer-reviewed publications and patents. His work bridges engineering and environmental science, addressing challenges in manufacturing, energy systems, and material characterization. Key research areas include interferometric techniques for surface analysis, robotic polishing automation, and microwave-based measurement systems for industrial applications. Bååth has pioneered technologies for wind turbine noise propagation modeling and material defect detection, with applications in automotive, forestry, and metallurgical industries. His patents include innovations in contactless level detection and substance analysis in containers, reflecting his commitment to solving practical industrial challenges. Bååth collaborates extensively with industry partners, emphasizing technology transfer and real-world implementation of academic research.

Dale E. Kleinمشاهده پروفایل

استاد

• Nuclear Engineering
• Radiation Safety
• Energy Policy
• +۳ مورد دیگر

Dale E. Klein is the Cockrell Family Dean's Chair in Engineering Excellence and Professor of Nuclear and Radiation Engineering at the University of Texas at Austin. He rejoined the university in 2022 after serving as a Presidential Appointee and as Associate Vice Chancellor for Research at the University of Texas System (2011–2022). Previously, he was Chairman of the U.S. Nuclear Regulatory Commission (2006–2009), Commissioner of the NRC (2009–2010), and Assistant to the Secretary of Defense for Nuclear, Chemical, and Biological Defense Programs under President George W. Bush. His academic roles include Director of the Nuclear Engineering Teaching Laboratory and Deputy Director of the Center for Energy Studies. Dr. Klein holds a doctorate in Nuclear Engineering from the University of Missouri-Columbia. His research focuses on thermal hydraulics, nuclear waste management, and radiation safety, with over 100 technical publications and presentations. He serves on corporate boards including Southern Company and Pinnacle West/Arizona Public Service, and chairs the Nuclear Reform Monitoring Committee for Tokyo Electric Power Company post-Fukushima. His awards include Fellowships from the American Society of Mechanical Engineers and American Nuclear Society, Engineer of the Year for Texas, and the University of Missouri Honor Award for Distinguished Service. His recent publications analyze natural convection in spent fuel storage, magnetohydrodynamic flow, and thermal property measurement techniques.

• Wireless Communications
• Telecommunications
• Algorithms Design
• +۳ مورد دیگر

Professor Robert G. Maunder is affiliated with the University of Southampton and leads research in wireless communications, algorithms design, and hardware implementation. He has been with the School of Electronics and Computer Science since 2000, advancing from Lecturer to Professor in 2017. BEng (First Class) in Electronic Engineering (2003) PhD in Telecommunications (2007) His research focuses on joint source/channel coding and optimizing wireless communication systems through algorithm-hardware co-design. Recent work includes 5G non-terrestrial networks, OTFS modulation, and quantum code decoding. Key collaborators include Prof. Lajos Hanzo and Prof. Sir Bashir Al-Hashimi. Selected awards: IEEE Senior Member (2012), Chartered Engineer (IET, 2013), Fellow of the IET (2017). He supervises PhD student Arumjeni Mitayani and founded AccelerComm Ltd to commercialize soft-IP solutions.

• Cybersecurity
• Machine Learning
• Digital Networks
• +۷ مورد دیگر

Yasser Morgan is a Teaching Professor at the Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology, specializing in the Department of Systems and Enterprises. He can be contacted at ymorgan@stevens.edu. PhD in Computer Science from Carleton University (2005) MS in Computer Science from ISSR, Cairo University (1997) His research spans multiple domains including Digital Networks (cellular and vehicular), Machine Learning with a focus on Artificial Neural Networks (ANN), and Cybersecurity solutions. He has pioneered standards for vehicular communications (WAVE) through IEEE-802.11p and 3GPP collaborations, impacting connected vehicle systems. His recent work focuses on cybersecurity frameworks, resource allocation in energy-efficient networks, and honeypot research. The 10 most recent publications highlight expertise in Cybersecurity (honeypot systems, passive attacks), Wireless Communications (UAVs, LTE, vehicular networks), and Machine Learning (real-time recognition systems). Key subfields include network coding, cognitive radio, energy harvesting, and secure communication protocols. Canadian Advanced Technologies Association Award 'Wilfrid Laurier University, Lazaridis School of Business Public Sector Leadership' for exceptional contribution to Public Safety Dr. Morgan has secured over $4.5 million in grants from NSERC, DRDC, and government agencies, with notable inventions including the international patent A Method and System for Cooperative Stochastic Positioning in a Mobile Environment (PCT No. EP2598913 A4). His consulting services in cybersecurity and teaching portfolio (SSW 540, SSW 567) reflect his interdisciplinary expertise in systems engineering and information security.

Debra Wunchمشاهده پروفایل

دانشیار

• Atmospheric Physics
• Climate Science
• Remote Sensing
• +۵ مورد دیگر

Debra Wunch is an Associate Professor cross-appointed between the Department of Physics (51%) and the School of the Environment (49%) at the University of Toronto . Her research focuses on precise atmospheric greenhouse gas measurements to understand the global carbon cycle and urban emissions. Key affiliations: Total Carbon Column Observing Network (TCCON) Chair (2020-present), Orbiting Carbon Observatory (OCO-2/3) Science & Validation Teams, and GeoCarb Science Team Research highlights include: Boreal forest carbon dynamics and its role in the global carbon budget Toronto Atmospheric Monitoring of Emissions (TAME) project using mobile in situ gas analyzers Validation of satellite missions like OCO-2 , Sentinel-5P , and GOSAT through ground-based FTIR networks Development of the TARDISS algorithm for vertical distribution analysis of greenhouse gases Scientific achievements: 2023 Atmospheric Sciences Ascent Award (AGU) 2023 Royal Society of Canada New Scholars, Artists and Scientists 2018 & 2016 NASA Group Achievement Awards for OCO-2 calibration

Sergei Savitskyمشاهده پروفایل

استاد

• Reconfigurable Computing
• Digital Signal Processing
• Hardware Architectures
• +۳ مورد دیگر

Sergei Savitsky is a Professor at Wedel University of Applied Sciences, where he serves as Head of the Bachelor of Computer Science program and Senate Chairman. He has been a university lecturer at the institution since October 2008, following professional experience at NXP Semiconductors (2006-2008) and Philips Research Europe (2001-2006). His educational background includes: Doctorate in Engineering (Dr.-Ing.) from Technical University of Dresden (2002) with distinction "summa cum laude" Habilitation (Dr.-Ing. habil.) from Technical University of Dresden (2024) with teaching authorization in "Technical Computer Science" Diplom-Informatiker (equivalent to MSc) in Computer Science from Technical University of Dresden (1998) Savitsky's research focuses on reconfigurable computing systems , with particular expertise in FPGA design, hardware acceleration, and error correction coding. His work bridges theoretical computer science with practical hardware implementation, resulting in numerous patents and publications in top venues. He has made significant contributions to the development of adaptive hardware architectures for forward error correction, which are critical for modern communication and storage systems. His recent publications demonstrate a strong trajectory in optimizing hardware design processes, with particular focus on applying machine learning techniques like self-organizing maps and gradient descent algorithms to improve FPGA placement efficiency. His research spans both theoretical foundations and practical applications, with patents filed in collaboration with industry partners like NXP Semiconductors and ST-Ericsson. Among his recognitions is the Best Paper Award at CENICS 2019 for his work on accelerating FPGA placement algorithms. As an educator, Savitsky teaches courses related to digital system design, including "Computer-aided design of digital systems," where he emphasizes algorithmic aspects of Electronic Design Automation beyond basic digital technology concepts.

Ben E. Blackمشاهده پروفایل

استاد

• Chromosome Biology
• Epigenetics
• Centromere Structure
• +۷ مورد دیگر

Ben E. Black is the Eldridge Reeves Johnson Foundation Professor of Biochemistry and Biophysics at the Perelman School of Medicine, University of Pennsylvania. He is a member of the Abramson Cancer Center, the Epigenetics Program, and the Institute for Translational Medicine and Therapeutics (ITMAT). His lab is central to the Penn Center for Genome Integrity and the Philly Chromosome Club. He mentors students in the Biochemistry, Biophysics, and Cell and Molecular Biology graduate programs. Education: B.A. in Biology, Carleton College, 1997 Ph.D. in Biochemistry and Molecular Genetics, University of Virginia, 2002 Postdoctoral Fellow, UCSD (Ludwig Institute for Cancer Research), under Don Cleveland Dr. Black’s research focuses on the epigenetic basis of centromere identity, mitotic chromosome segregation, and PARP-1 enzymology. His lab combines structural, biochemical, genomic, and cell biological approaches to understand how CENP-A nucleosomes define centromeres and how PARP-1 is allosterically regulated by DNA breaks. His work has led to breakthroughs in synthetic chromosome engineering and the development of next-generation PARP inhibitors. His recent publications reveal a sustained focus on centromere architecture, chromatin dynamics, DNA repair mechanisms, and mitotic regulation. The articles span high-impact journals like Science , Nature , Cell , and Molecular Cell , emphasizing structural insights, epigenetic inheritance, and translational applications in cancer and neurodegenerative disease. Scientific Awards: American Cancer Society Fellow Burroughs Wellcome Fund Career Award Rita Allen Foundation Scholar Michael S. Brown New Investigator Award Charles E. Kaufman Award Perelman School of Medicine Dean’s Innovation Award Dr. Black has advised numerous PhD and MD/PhD students, many of whom now hold faculty or industry positions. His lab receives significant grant support, enabling cutting-edge research in chromosome biology. He is an Associate Editor for Science Advances and the Biochemical Journal , and serves on editorial boards and NIH review panels. He is also active in teaching and scientific outreach, giving lectures worldwide. Lab and Collaborations: The Black Lab collaborates extensively with Michael Lampson’s group and is a founding member of the Penn Center for Genome Integrity. The lab uses hydrogen/deuterium exchange mass spectrometry (HXMS), cryo-EM, and genomic technologies to probe chromatin structure and dynamics in solution.