جست‌وجوی استاد و پژوهشگر

Yi Panمشاهده پروفایل

استاد

• Parallel and Cloud Computing
• Wireless Networks
• Bioinformatics
• +۳ مورد دیگر

Dr. Yi Pan is a Distinguished University Professor and Chair of the Department of Computer Science at Georgia State University. He holds a B.Eng. and M.Eng. from Tsinghua University (China) and a Ph.D. from the University of Pittsburgh (USA). His research focuses on parallel computing, wireless networks, bioinformatics, and machine learning, with over 330 publications and 39 authored/edited books. Dr. Pan has organized international conferences and delivered over 40 keynote speeches globally. Education: B.Eng., Computer Engineering, Tsinghua University, 1982 M.Eng., Computer Engineering, Tsinghua University, 1984 Ph.D., Computer Science, University of Pittsburgh, 1991 Research Interests: Dr. Pan’s work spans parallel and cloud computing, wireless networks, and bioinformatics. His contributions include scalable algorithms for functional module discovery in protein networks, self-defense mechanisms for cyber threats, and efficient routing protocols for sensor networks. Recent efforts integrate AI into healthcare, such as lesion localization in OCT imaging and autism spectrum disorder diagnosis via EEG analysis. Awards & Recognition: IEEE Distinguished Speaker (2000–2002) Yamacraw Distinguished Speaker (2002) Listed in Who’s Who in America and Who’s Who in Computational Science Awards from NSF, AFOSR, IBM, and Mellon Foundation Advising & Leadership: As department chair, Dr. Pan oversees interdisciplinary collaborations between Computer Science and Computer Information Systems. He has advised numerous students and holds editorial roles in 15 journals, including several IEEE Transactions. His grants focus on advancing AI-driven healthcare, cybersecurity, and computational biology. Labs & Teams: Leads research initiatives in bioinformatics, medical AI, and parallel computing, collaborating with industry partners like IBM and Shell Oil. Active in organizing conferences such as the IEEE International Conference on Bioinformatics and Biomedicine.

Dejan Filipovicمشاهده پروفایل

استاد

• Antenna Theory
• RF Engineering
• Microwave Engineering
• +۵ مورد دیگر

Dejan Filipovic is a Professor and holds the Hudson Moore Jr. Chair in Engineering at the University of Colorado Boulder, where he leads the Antenna Research Group (ARG) in the Department of Electrical, Computer, and Energy Engineering. His research focuses on advanced antenna systems for applications including communications, radar, and electronic warfare, with particular emphasis on antenna theory and design. Professor Filipovic's research specializes in antenna theory and design with emphasis on applications of electrically small antennas (ESAs) , simultaneous transmit and receive (STAR) , and wideband microwave and millimeter wave communication systems. His work addresses challenging problems in electronic warfare front-ends, spectrum sensing, and direction finding applications, often incorporating innovative fabrication techniques including 3D printing for rapid prototyping. Analysis of Professor Filipovic's recent publications reveals a consistent focus on wideband antenna systems spanning from HF through millimeter-wave frequencies (0.5-110 GHz). His research group demonstrates expertise in retrodirective and direction-finding arrays , full-duplex communication systems , and the application of additive manufacturing to antenna design. A notable trend is the integration of machine learning techniques to enhance traditional antenna system performance, particularly in direction finding applications. Key scientific recognition includes: NSF Graduate Fellowship Award (awarded to students in his group) Honorable Mention by the NSF Graduate Research Fellowship committee Silver medal in Student Paper Competition at the 2021 ACES Conference Excellence in Outreach Award for departmental and community contributions Professor Filipovic has mentored numerous graduate students to completion of their degrees, with recent thesis defenses including Gabriel A. (MSc on Deployable Electrically Small Folded Cylindrical Helix HF Antenna), Dong-Chan Son (PhD on Wideband, Highly Directional Antennas), and Songyi (PhD on Unconventional Arrays for HF and Other Applications). His research group maintains strong industry and defense connections, as evidenced by visits from notable figures such as Dr. Heidi Shyu, Under Secretary of Defense for Research and Engineering. The ARG laboratory operates a sophisticated research facility featuring an NSI 700S-30 Spherical near-field/far-field measurement system (1-110 GHz), multiple vector network analyzers including Agilent PNAx with OML extensions, and advanced 3D printing capabilities for rapid antenna prototyping. Current research projects include the Signal Processing Electronic Attack RF (SPEAR) Front-End, Flexible and Modular RF Systems for Space Constrained Decoys, and Circulator In Aperture (CIA) research.

Mark Lofquistمشاهده پروفایل

عضو هیئت علمی

• Systems Engineering
• Spectrum Management
• RF Hardware Design
• +۳ مورد دیگر

Mark Lofquist is an Assistant Research Professor at the University of Colorado's Engineering School, specializing in systems engineering, spectrum management, and RF hardware design. His work focuses on spectrally aware communication systems, dynamic spectrum access, and 4G/5G network technologies. He previously worked at Shared Spectrum Company on the DARPA XG program and has industry experience in mobile electronics, including roles as an instructor and shop manager. Education: Bachelor's and Master's in Electrical Engineering from Virginia Tech (1999, 5-year honors program) Ph.D. in Telecommunication Sciences from the University of Colorado Boulder Research Interests: RF link budget analysis Military and space-grade transceiver design Spectrum coexistence testing Software-defined radio (SDR) Wireless network optimization Advising & Grants: No formal advisees listed. Collaborates with industry partners like Shared Spectrum Company on projects funded by DARPA and other agencies. Active in spectrum policy analysis and regulatory decision frameworks. Labs/Teams: Engages in field testing via partnerships, including radar waveform captures at Fort Story and Point Loma, and spectrum occupancy studies in Maine.

Michael McGarryمشاهده پروفایل

دانشیار

• Communication Networks
• Machine Learning
• Internet
• +۶ مورد دیگر

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.

Kyoung-Don Kangمشاهده پروفایل

استاد

• Real-time embedded systems
• Cyber-physical systems
• Internet of Things
• +۴ مورد دیگر

Kyoung-Don (KD) Kang is a Professor in the School of Computing at Binghamton University, State University of New York. He specializes in real-time embedded systems, cyber-physical systems, and IoT security. His research focuses on enhancing real-time data services' timeliness and power efficiency, supported by NSF grants and industry collaborations. Education: BS, MS (Kyungpook National University); MS, PhD (University of Virginia). Research Interests: Real-time embedded systems, cyber-physical systems, IoT, security, edge computing, and wireless sensor networks. His work emphasizes control-theoretic approaches, feedback mechanisms, and adaptive algorithms for real-time systems. Grants & Projects: NSF-funded projects include 'Enhancing Timeliness of Real-Time Data Services' and 'QoS-Aware Data Management.' He leads the Real-Time Embedded Systems Laboratory, developing frameworks like Chronos and RTMR. Awards: Best Paper nominations (DCOSS'19), NSF grants, and patents in surveillance systems. Over 16 MS students and 9 PhD students have graduated under his mentorship, many joining top tech firms. Labs & Teams: Director of the Real-Time Embedded Systems Lab, focusing on edge computing, real-time stream processing, and secure IoT applications. Collaborates with industry partners like Samsung and Intel.

Jennifer McConnellمشاهده پروفایل

استاد

• Bridge Engineering
• Steel Structure Behavior
• Aging Infrastructure
• +۳ مورد دیگر

Jennifer McConnell is a Professor at the University of Delaware, specializing in bridge engineering, steel structure behavior, and sustainable infrastructure. She holds a Ph.D., Master's, and Bachelor's degrees from West Virginia University. Her research focuses on non-linear behavior of steel structures, aging infrastructure resilience, and innovative materials for infrastructure longevity. Her work integrates advanced technologies like carbon nanotube sensors and composite materials for structural health monitoring and repair. Key areas include fatigue analysis of skewed steel girder bridges, lifecycle assessment of steel bridges, and lean engineering applications in bridge inspection. She emphasizes data-driven approaches for infrastructure performance evaluation and sustainable construction practices. McConnell’s publications highlight interdisciplinary innovations, such as integrating wireless sensor networks for steel reuse potential and co-digestion systems for waste management. Her research contributes to safer, more durable, and environmentally conscious infrastructure solutions.

• Digital Forensics
• Malware Detection
• Adversarial Machine Learning
• +۴ مورد دیگر

Yin Pan is a Professor of Cybersecurity at Rochester Institute of Technology (RIT), affiliated with the Golisano College of Computing and Information Sciences. She holds a Ph.D. in Systems Science and M.S. in Computer Science from Binghamton University (SUNY), alongside degrees from Shanghai Normal University. Dr. Pan specializes in digital forensics, malware detection, and adversarial machine learning, with over 45 publications and patents in network quality of service, VoIP, and AI. She actively teaches undergraduate and graduate courses in digital forensics and has secured grants from NSF, U.S. Air Force Research Lab, and RIT. Education Background: Bachelor's and Master's in Shanghai Normal University (China) Second Master's and Ph.D. in State University of New York at Binghamton Research Interests: Her work focuses on game-based approaches to digital forensics education, memory-based malware detection using machine learning, and cybersecurity audit methodologies. She explores adversarial examples in AI systems and has contributed to network protocols and data center routing optimizations. Grants & Awards: Notable funding includes NSF and Air Force grants supporting her research in cybersecurity education and malware analysis. She also holds four U.S. patents in network QoS, VoIP, and AI applications. Advising & Teaching: While no formal advisees are listed, she designs gamified curricula for cybersecurity education and leads courses like CSEC-464 Computer System Forensics and CSEC-730 Advanced Computer Forensics.

Jay Aikatمشاهده پروفایل

استاد پژوهشی

• Computer Networking
• Data Science Education
• Cloud Computing Security
• +۳ مورد دیگر

Jay Aikat is the Vice Dean of the School of Data Science and Society at the University of North Carolina at Chapel Hill since July 2022, and a Research Professor in the Department of Computer Science. She previously served as Chief Operating Officer at RENCI (2016–2022) and held leadership roles in IT at UNC-Chapel Hill’s School of Information and Library Science. Aikat holds a Ph.D. in Computer Science from UNC-Chapel Hill, with earlier degrees in Electrical and Electronics Engineering and Computer Science. Her research focuses on experimental methods in networking, Internet traffic modeling, cloud security, and data science education. Notable contributions include work on airborne network topology management, cloud computing security frameworks, and pedagogical innovations in big data training. She has collaborated with institutions like NIEHS (National Institute of Environmental Health Sciences) and contributed to national-scale research infrastructure projects through GENI and COMBINE initiatives. Her publication trends reflect deep engagement with network experimentation, cybersecurity challenges in cloud environments, and scalable solutions for dynamic wireless systems. Aikat has also authored foundational work on web traffic evolution and protocol benchmarking, emphasizing reproducible methodologies in networking research. Her professional trajectory includes bridging academic research with applied IT leadership, fostering interdisciplinary collaborations across computer science, environmental health, and data science domains. Current efforts focus on expanding data science education and driving innovation through the School of Data Science and Society.

Pieter-Tjerk de Boerمشاهده پروفایل

دانشیار

• Rare-Event Simulation
• Communication Systems
• Mathematical Performance Analysis
• +۳ مورد دیگر

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.

Trang Caoمشاهده پروفایل

پژوهشگر ارشد

• Magnetic Resonance Imaging (MRI)
• Neuroimaging
• Computational Neuroscience
• +۵ مورد دیگر

Dr. Trang Cao is a Research Fellow at the School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Australia. She completed her PhD in Engineering (2020), M.Eng in Electronics and Radio Engineering (2015), and B.Eng in Electronics and Telecommunications (2012) from the University of Melbourne, Kyung Hee University, and Posts and Telecommunications Institute of Technology (Vietnam), respectively. PhD in Engineering (2020) - University of Melbourne M.Eng in Electronics and Radio Engineering (2015) - Kyung Hee University B.Eng in Electronics and Telecommunications (2012) - Posts and Telecommunications Institute of Technology Her research focuses on neuroimaging and molecular communication , particularly on understanding brain anatomy and function using MRI and designing molecular communication systems for biomedical applications. She integrates computational neuroscience with signal processing to derive functional biomarkers in neurodegenerative diseases like Friedreich Ataxia. Recent publications highlight trends in neuroimaging techniques (e.g., mode-based morphometry for brain mapping) and molecular communication optimization (e.g., chemical detection mechanisms, equalization techniques). Her work bridges neuroscience and engineering to address both theoretical and applied challenges. Scientific Awards: Best Poster Award (2019) Diane Lemaire Scholarship (2018) Student Travel Grant (2019) She contributes to peer review for journals like IEEE Transactions on Network Science and Engineering and conferences such as the Organization for Human Brain Mapping (OHBM) . Current projects include deriving fMRI biomarkers for Friedreich Ataxia using structural MRI data alone.

Mike Morganمشاهده پروفایل

مدرس ارشد

• Combinatorial Optimisation
• Heuristics
• Mathematical Programming
• +۳ مورد دیگر

Dr. Mike Morgan is a Senior Lecturer in Computing at the University of Chester, affiliated with the Faculty of Science, Business and Enterprise. Previously, he held teaching roles at Coventry University and Glyndwr University. His research focuses on Combinatorial Optimisation, Heuristics, Mathematical Programming, and Naturally Inspired Computing, with notable contributions to automated educational feedback systems, optical network optimization, and wireless network design. He has collaborated with Tata Steel on logistics optimization software through a KTEG-funded project. Teaching interests include Programming, Algorithms and Data Structures, Networking, Computer Architecture, and Theory of Computation. He developed the MSc Computer Science (conversion) and MSc Advanced Computer Science programs at the University of Chester. His publications span automated feedback tools, ant colony optimization for optical networks, and metaheuristics for wireless networks, demonstrating expertise across computational theory and practical applications. Professional activities include consulting for Tata Steel on bin-packing problems in logistics. His work bridges academic research with real-world industry challenges, particularly in optimization and network systems.

Senem Velipasalarمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Wireless Smart Camera Networks
• +۸ مورد دیگر

Senem Velipasalar is a Professor in the Department of Electrical Engineering and Computer Science (EECS) at Syracuse University, affiliated with the Smart Vision Systems Laboratory and the Aging Studies Institute. She holds a Ph.D. and M.A. from Princeton University, an M.S. from Brown University, and a B.S. from Bogazici University. Her research focuses on machine learning, computer vision, and wireless smart camera systems, with applications in human activity classification, driver behavior analysis, and defense against adversarial attacks. Her honors include the NSF CAREER Award (2011), 2021 IEEE Technological Innovation Award, and multiple doctoral prizes for her advisees. She leads grants totaling over $4M, including ARPA-E projects on occupancy detection and DOE-funded research on aerial energy modeling. Research interests span embedded vision, distributed multi-camera tracking, and energy-efficient algorithms. Her lab develops technologies like wearable camera-based fall detection and autonomous UAV navigation. Notable publications include works on adversarial attacks, fNIRS brain activity analysis, and thermal pedestrian detection.

Enyue Annie Luمشاهده پروفایل

استاد

• High Performance Computing
• Computer and Communication Networks
• Algorithm Design and Analysis
• +۵ مورد دیگر

Dr. Enyue (Annie) Lu is a Professor of Computer Science at Salisbury University, affiliated with the Department of Computer Science within the Richard A. Henson School of Science & Technology. She holds a Ph.D. from the University of Texas at Dallas. Her research focuses on High Performance Computing, including parallel and distributed processing, cloud computing, and GPU computing. She also explores Computer and Communication Networks, such as network security and wireless sensor networks, alongside Algorithm Design and Graph Theory applications in bioinformatics and medical imaging. Dr. Lu has led and contributed to numerous research projects, including the REU (Research Experience for Undergraduates) program, which emphasizes emerging computing in science and engineering. Her work spans interdisciplinary areas like medical imaging algorithms and stable matching problems, leveraging GPU acceleration and parallel computing techniques. She has advised over 20 students in these areas and collaborates with institutions like the University of Maryland Eastern Shore and Johns Hopkins University. Her publications emphasize practical applications of theoretical computer science, such as improving tomographic imaging and network intrusion detection through machine learning and distributed systems. Despite not listing explicit awards, her extensive contributions to undergraduate research and algorithm development highlight her scholarly impact.

Renuka Mohanrajمشاهده پروفایل

استادیار

• Mobile Ad Hoc Networks
• Design and Analysis of Algorithms
• Software Engineering
• +۲ مورد دیگر

Renuka Mohanraj is an Assistant Professor of Computer Science specializing in Mobile Ad Hoc Networks (MANET), with research interests in Design and Analysis of Algorithms, Software Engineering, Web Technology, and Wireless Application Protocol. She holds a PhD from Mother Teresa University and has contributed significantly to network security and optimization through her publications and a book. Education includes: BSc, Madras University MCA, Bharathidasan University MPhil, Periyar University PhD, Mother Teresa University Her research focuses on enhancing security and efficiency in MANET through innovative routing protocols and collision control mechanisms. Recent work extends to IoT and healthcare applications, addressing challenges like secure data transmission and energy efficiency. Earlier contributions centered on MANET’s reliability and multi-path data integrity. No scientific awards or grants are listed. No advisees or lab affiliations are mentioned in the provided information.

Alfa Nyandoroمشاهده پروفایل

دانشیار

• Wireless Network Protocols
• Medium Access Control (MAC) Protocols
• Technology for Development
• +۳ مورد دیگر

Dr. Alfa Nyandoro is an Associate Professor of Computer Science and IT at Lipscomb University, Nashville, Tennessee, where he recently served as Interim Associate Dean of the College of Computing & Technology and Chair of the Information Technologies Department. With a 22+ year career spanning Zimbabwe, South Africa, Australia, and the United States, he has held roles in academia (University of Johannesburg, Abilene Christian University) and industry (Diamond Insurance, Anglo American Corporation). His research focuses on wireless network protocols, technology for development, and healthcare informatics. Education: Ph.D. in Computer Science (details not specified) 1st Class Honors B.Sc. Computer Science, National University of Science and Technology (Zimbabwe, 1996) NUST Vice-Chancellor’s Book Prize for Computer Science (1996) Research Interests: Medium Access Control (MAC) protocols in wireless networks Applications of technology for socio-economic development Healthcare informatics systems Networking infrastructure optimization Awards: Dean’s Award for Excellence (2019-20) Teacher of the Year (2012-13) UIPRS Scholarship (2001-05) Professional Affiliations: Member of IEEE and ACM. Prior roles include tenure at Abilene Christian University and senior research positions at SIRDC (Zimbabwe) and NICTA/UNSW (Australia).