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Zhenlin AnView profile

Assistant Professor

• Wireless Systems
• Mobile Computing
• AI for Networking
• +4 more

Zhenlin An is an Assistant Professor at the University of Georgia's School of Computing, focusing on wireless systems and mobile computing. He previously held postdoctoral positions at the University of Pittsburgh and Princeton University, advised by Kyle Jamieson and Longfei Shangguan. His research bridges AI with wireless communication, sensing, and localization, particularly for AR/VR applications. Ph.D. from The Hong Kong Polytechnic University Advised by Dr. Lei Yang and Prof. Jiannong Cao during Ph.D. His work explores physics-informed AI for wireless communication, localization, and sensing, with recent emphasis on egocentric digital twins and NextG AI-native systems . He leverages neural ray tracing for radio/acoustic modeling and develops novel human-environment interaction frameworks. Publications span top venues like ACM MobiCom , ACM SIGCOMM , and IEEE Transactions on Mobile Computing . Key trends include AI-driven channel prediction , cross-medium communication , and high-precision wireless localization . ACM China SIGBED Doctoral Dissertation Award (2022) ACM MobiCom 2023 Best Paper Runner-Up IEEE SECON 2020/2023 Best Paper Awards ACM MobiCom 2018/2022 Best Demo Runner-Up Zhenlin actively recruits self-motivated PhD students and research assistants for Fall 2025 and subsequent terms. His work has been supported by collaborations with institutions including the University of Pittsburgh and Princeton University.

Pradeep GopalakrishnaView profile

Professor

• Market Orientation
• Marketing Analytics
• Brand Management
• +5 more

Pradeep Gopalakrishna is a Professor and Chair of the Marketing Department at the Lubin School of Business, Pace University. With over 30 years of teaching experience, he instructs doctoral, MBA, and undergraduate students. His academic engagement extends to editorial roles, conference leadership, and international collaborations, particularly in India. Education: Ph.D. in Marketing from the University of North Texas (1988), MBA in Marketing (1984), and BE in Mechanical Engineering from Bangalore University (1981). Research Interests focus on market orientation, international business strategies, brand management, and supply chain innovations. His work often examines these concepts in developing economies, emphasizing data-driven practices and cross-cultural dynamics. Publications Trends reveal a strong emphasis on case studies analyzing global retail giants (Walmart, Starbucks) and theoretical explorations of market orientation’s impact on performance. Subfields include brand localization, RFID technology in logistics, and strategic partnerships in creative industries. Grants include multiple Lubin Summer Research Grants (2007–2016) and external funding from Ford Motor Company (2005). He actively contributes to community service , including volunteer teaching at Sai Temple and organizing cultural events.

Eugenio ZimeoView profile

Professor

• Software Architectures
• Middleware for Distributed Systems
• Service-Oriented Computing
• +17 more

Eugenio Zimeo is a Full Professor at the Department of Engineering, University of Sannio, Benevento, where he teaches Networked Systems Programming and Distributed Software Architectures and Systems . He holds a PhD in Computer Science and Electronic Engineering from the University of Naples and has been a central figure in distributed systems research and education. Department of Engineering, University of Sannio (Current) Member, CerICT (Regional ICT Center) Coordinator, CINI Laboratory on Smart Cities and Communities (University of Sannio node) National Coordinator, CINI Focus Group on eGovernment and eInclusion Director, Local Research Unit, University of Sannio (TEMOTEC, PRIN projects) General Chair, I-CiTies 2016 Conference His research interests span software architectures, middleware, cloud and grid computing, autonomic systems, smart cities, IoT, microservices, and service-oriented computing . He has contributed to frameworks for mobile agents, microservices synchronization, and resilient smart city platforms. Zimeo has authored approximately 100 scientific publications, including journal articles and conference papers, with recent work focusing on microservices, distributed tracing, and smart city resilience . His publications show a strong trend toward modern distributed systems, leveraging cloud, fog, and IoT paradigms for urban applications and software engineering innovation. He has received several best paper awards in recognition of his scholarly contributions. Co-organizer, Boosting Services and Information in Adaptive Networked Enterprises (2008) General Chair, I-CiTies 2016 Scientific Responsible, TEMOTEC, OpenGoals, MyOpenGov, PRIN GAUSS and IDEAS projects Reviewer, IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, and other leading journals Zimeo has supervised approximately 200 master's theses and served as tutor or co-tutor for 10 doctoral students . He has led significant research grants, including PRIN GAUSS (2017–present), IDEAS (2014–2017), TEMOTEC (2014–2016), and European project Qualipso (2010–2011), focusing on software quality and open-source platforms. He coordinates the University of Sannio’s node in the CINI National Laboratory on Smart Cities and Communities and leads the associated eGovernment and eInclusion focus group. His research unit develops platforms like PROMENADE for real-time IoT traffic monitoring in smart cities, integrating microservices and DevOps practices.

• Wireless Systems
• Satellite Networks
• Artificial Intelligence
• +3 more

Jingxian Wang is an NUS Presidential Young Professor in the Department of Computer Science at the National University of Singapore (NUS). He leads research in next-generation wireless systems, satellite networks, and AI-driven applications. Previously, he was a Research Scientist at Microsoft Research in Redmond, where he initiated the Smart Surface for 6G and Space project. He holds a Ph.D. from Carnegie Mellon University. His research spans wireless communication, backscatter technology, RFID systems, and soft robotics, with emphasis on low-latency networks and energy-efficient solutions. Work includes satellite traffic engineering, AI-enhanced LoRa reception, and wireless actuation for electronics-free robots. Publications demonstrate consistent focus on wireless innovation, with trends toward satellite networks (2025), generative AI in communication (2024), and soft robotics (2023). Earlier work established foundations in RFID and material sensing. Awards & Honors: ACM SIGMOBILE Doctoral Dissertation Award Microsoft Research Fellowship Emerging Rockstar in IEEE Pervasive Computing Best Paper Awards (UbiComp, IPSN, IJCAI) Research Highlights in ACM Communications (3×) and SIGMOBILE Team & Advising: He leads PhD students (Jinfan Liu, Kin Whye Chew, Jiahao Xu) and post-docs (Yijie Li, Zehua Sun), supported by initiatives like Microsoft's Accelerating Foundation Models program. The lab focuses on wireless systems, AI, and satellite networks.

• Radiation Therapy Physics
• Image-Guided Radiation Therapy (IGRT)
• Stereotactic Body Radiation Therapy (SBRT)
• +4 more

Hui Zhao, PhD, DABR, is a Professor in the Department of Radiation Oncology at the University of Utah and a medical physicist at Huntsman Cancer Hospital. She specializes in advanced radiation therapy techniques including image-guided radiotherapy (IGRT), surface-guided radiotherapy (SGRT), stereotactic radiosurgery (SRS), stereotactic body radiation therapy (SBRT), and high/low-dose-rate brachytherapy. Dr. Zhao is an active member of the American Association of Physicists in Medicine (AAPM). Education History: Postdoctoral Fellowship: University of Wisconsin School of Medicine and Public Health Residency: Washington University in St. Louis PhD in Medical Physics: University of Wisconsin School of Medicine and Public Health MS: University of Wisconsin School of Medicine and Public Health BS in Modern Physics: University of Science and Technology of China Her research focuses on optimizing precision radiation delivery through technologies like surface imaging, CT-on-Rails, kV/MV cone-beam CT, ultrasound guidance, and motion management systems. She investigates clinical applications in breast, prostate, gynecologic, and thoracic cancers with emphasis on adaptive therapy and treatment accuracy. Recent publications (2019-2024) demonstrate strong focus on surface-guided radiotherapy validation, brachytherapy innovation, and treatment workflow optimization. Dominant themes include SGRT clinical implementation, proton therapy alignment, HDR brachytherapy commissioning, and motion management strategies, reflecting her leadership in advancing precision radiotherapy techniques. Dr. Zhao leads quality assurance initiatives and technology validation projects at Huntsman Cancer Hospital, collaborating with multidisciplinary teams to enhance treatment safety and efficacy. Her work integrates novel biometric systems and AI-driven workflows to prevent treatment deviations.

Daniel Van Der WeideView profile

Professor

• Terahertz Circuits and Devices
• Scanned Probe Microscopy
• Biomedical Engineering
• +3 more

Daniel Van Der Weide is a Professor in the Department of Electrical & Computer Engineering at the University of Wisconsin-Madison, with affiliations in Biomedical Engineering and Materials Science & Engineering. His research focuses on microfabricated circuits and sensors for high-frequency applications, including scanned probe microscopy, terahertz technology, and biomedical device development. Education: PhD 1992 (Stanford University), MS 1990 (Stanford University), BS 1987 (University of Iowa). Research Interests: Terahertz circuits and devices Localized spectroscopy of biological systems Multifunctional scanned probe microscopy Nonlinear transmission line systems Remote instrumentation and educational outreach Key achievements include over 200 publications and prestigious awards such as the NSF PECASE Award (1998) and Vilas Associate Award (2002). His lab develops in situ measurement systems for materials characterization, including microwave tissue ablation tools and terahertz sensors for aviation security. Selected Awards: 1998 NSF PECASE Award 1999 Alexander von Humboldt Fellowship 2002 Vilas Associate Award IEEE Fellow (1996) Teaching includes advanced undergraduate and graduate courses in communications circuits (ECE 547), circuit analysis (ECE 230), and dissertation research mentoring. His work bridges engineering disciplines through innovations in chipless RFID tags , reconfigurable helical antennas , and topological semimetal sensors .

• Technical Computer Science and Telecommunications
• Biomedical Engineering
• Control Systems
• +3 more

Dr. Eng. Michał Doligalski is an Assistant Professor at the University of Zielona Góra , affiliated with the Institute of Metrology, Electronics and Computer Science and the Department of Computer Engineering and Internet of Things . His primary research interests span Technical Computer Science and Telecommunications (75%) and Biomedical Engineering (25%). He holds an ORCID identifier: 0000-0003-2895-7085 and can be contacted at M.Doligalski@imei.uz.zgora.pl . His office is located in Room 208A of the A-2 Teaching Building (prof. Z. Szafrana 2, 65-516 Zielona Góra). His research focuses on control systems , aerosol therapy technologies , mathematical modeling of fluid dynamics , and PLC-based industrial automation . Recent work includes advancements in precision measurement systems for indoor localization and optimization of medical nebulizer performance. Publications highlight interdisciplinary contributions, blending engineering principles with medical applications. Notable areas include: Development of programmable logic controllers for industrial monitoring Enhanced aerosol delivery methods for respiratory therapies 3D modeling of liquid film dynamics GNSS-based time synchronization in energy-constrained systems No scientific awards or grants were explicitly mentioned in the provided data.

Martin VossiekView profile

Professor

• Microwave Engineering
• Radar Systems
• Wireless Sensor Networks
• +6 more

Prof. Dr.-Ing. Martin Vossiek is Chair of the Institute of Microwaves and Photonics (LHFT) at FAU, a world-leading center in microwave research. He holds a PhD from Ruhr-University Bochum and has extensive industry experience at Siemens. His roles include Prodekan für Elektrotechnik at FAU, spokesperson of DFG RTG 2680 KoRaTo, and leader of SFB 1483 EmpkinS. He has authored 350+ papers, holds 100+ patents, and co-founded five tech startups. Research focuses on radar systems, microwave theory, machine learning in sensing, biomedical monitoring, and automotive applications. Awards include IEEE Fellow, 2019 Microwave Application Award, and acatech membership. He leads global initiatives like ICMIM conference and chairs IEEE committees. Recent work includes radar data compression, SAR imaging in automotive systems, and non-invasive biomedical imaging. Key projects involve fusion of radar with optical sensors, UAV-based glacier exploration, and AI-driven tremor analysis for Parkinson’s care. Awards: IEEE Fellow, 2019 Microwave Award, DFG Review Board Member, acatech membership Grants: DFG RTG 2680, SFB 1483, industry collaborations Labs/Teams: LHFT, Embedded Systems Institute (ESI), ZIMT (Medical Engineering)

Dejene DedefaView profile

Assistant Professor

• Computer Networking
• Wireless Networks
• Information Privacy
• +3 more

Dejene Dedefa is the Chair and Assistant Professor of the Computer Science Department at Lincoln University. His research focuses on wireless networking protocols, information privacy in low-income regions, and context-aware systems design. He has developed novel localization algorithms for wireless networks and contributed to energy-efficient routing protocols for MANET environments. His work intersects computer science with socio-technical challenges, particularly in African contexts. Key contributions include frameworks for cross-platform UI delegation, models analyzing privacy concerns in social networks, and data-driven approaches to road safety improvement through accident pattern analysis. Dr. Dedefa's publications span 2006-2015, emphasizing interdisciplinary solutions in pervasive computing, data mining, and network optimization. His research methodologies combine algorithmic innovation with cultural and behavioral analysis to address real-world challenges in technology deployment.

Swarun KumarView profile

Professor

• Wireless Networks
• Mobile Systems
• IoT
• +3 more

Swarun Kumar is the Sathaye Family Foundation Professor in Electrical and Computer Engineering at Carnegie Mellon University (CMU), with affiliate appointments in Computer Science, the Human-Computer Interaction Institute (HCII), and CyLab. His research focuses on next-generation wireless networks, mobile systems, and interactive applications. He leads the Emerging Wireless Technologies (WiTech) Lab at CMU, which explores innovations in mmWave radar, battery-free IoT, and wireless actuation. Education: Received the George Sprowls Award for Best Ph.D. Thesis in Computer Science at MIT and the President of India Gold Medal at IIT Madras. His academic roles include teaching courses like Computer Systems (18-213/613), Computer Networks (18-441/741), and Wireless Networks (18-859G). Research Interests: Wireless networks, mobile systems, IoT, 5G, wireless sensing, and security. Key projects include Joltik (LPWAN analytics), Quasar (satellite ground stations), and wireless actuation for soft robots. His work integrates hardware-software co-design and has applications in healthcare, robotics, and smart cities. Awards: ACM SIGMOBILE Rockstar (2024), NSF CAREER Award, and multiple best paper awards. His grants include NSF-funded projects on spectrum pollution, energy-centric wireless systems, and mmWave networks. Students: Advises PhD students in wireless systems, sensing, and robotics. Notable alumni include faculty at UW, UCSD, and NUS. Collaborates with industry and government partners like NASA and the USGS. Labs/Teams: WiTech Lab, CMU mmWave testbed, and partnerships with Virginia Tech for smart farm sensor networks. Open-source projects include TagFi, Sozu, and PLatter.

Xinrong LiView profile

Professor

• Wireless Communications
• Sensor Networks
• Signal Processing
• +7 more

Xinrong Li is a Professor in the Department of Electrical Engineering at the University of North Texas. He serves as the Associate Department Chair and holds an office in Discovery Park B231. His research focuses on wireless communications, sensor networks, signal processing, and IoT applications with emphasis on indoor geolocation, environmental monitoring, and smart systems development. He has contributed to advancements in Bluetooth mesh networking, thermal imaging-based occupancy detection, and additive manufacturing for aerospace components. His work integrates machine learning with sensor systems for real-time data analysis. Dr. Li has extensive experience in wireless sensor network design, including low-cost environmental monitoring systems and Raspberry Pi/Arduino-based implementations. He has explored energy-efficient protocols, time synchronization algorithms, and anti-collision RFID systems. His research also spans bioenergy systems, particularly gas production modeling during biomass pyrolysis using Gaussian functions. Key contributions include pioneering methods in indoor geolocation via UWB and RSS measurements, super-resolution TOA estimation, and cooperative localization algorithms. He has published over 60 articles since 2000, focusing on topics like MIMO systems, secrecy diversity in wireless channels, and compressive sampling for sensor networks. His work bridges theoretical foundations with practical applications in smart cities, agriculture automation, and environmental sustainability. Dr. Li has led projects in distributed energy management for microgrids and developed novel decoding methods for space-time coded MIMO systems. His educational contributions include curriculum design for project-oriented electrical engineering programs emphasizing lifelong learning. He maintains active collaborations in international research networks and serves on editorial boards for smart networking journals.

• Educational Technology
• Learning Systems
• Information Systems
• +4 more

Kai-Pan Mark is a Professor in the Department of Information Systems at the School of Business, City University of Hong Kong. With a publication record spanning over two decades from 2004 to 2025, Mark has established himself as a prominent researcher in educational technology and information systems. His work demonstrates a clear evolution from business information systems applications in the early 2000s toward a focused exploration of learning technologies and educational methodologies in recent years. Mark's research interests encompass Educational Technology, Learning Systems, Information Systems, Educational Data Mining, and Instructional Design. His scholarly work shows a consistent focus on how technology can enhance teaching and learning experiences, particularly in higher education contexts. Early research examined business applications of information systems, while more recent work has concentrated on lecture capture systems, virtual teaching environments, learning analytics, and assessment methodologies. Analysis of Mark's publication trends reveals a significant shift toward educational technology applications, with particular emphasis on virtual teaching effectiveness, lecture capture systems, and peer feedback mechanisms. His research often incorporates longitudinal studies and data-driven approaches to evaluate technology impacts on learning outcomes. The consistent publication record across top-tier conferences like PACIS, TALE, and HICSS demonstrates sustained scholarly productivity and relevance in the field. Mark has collaborated extensively with researchers at City University of Hong Kong, particularly with Douglas R. Vogel, Dickson K. W. Chiu, and Lilian L. P. Vrijmoed, among others. His work frequently addresses Hong Kong-specific educational contexts while maintaining broader applicability to global higher education challenges.

• Reinforcement Learning
• Internet of Things (IoT)
• Cognitive Robotics
• +3 more

Iñaki Vazquez Gomez holds the position of Associate Professor at the University of Deusto, Spain, and is affiliated with the Deusto Institute of Technology (DeustoTech). He previously served as Director of DeustoTech from 2020 to 2023 and led the Smart Objects unit there. His research focuses on Reinforcement Learning, IoT, and Cognitive Robotics, with applications in human-robot interaction and smart environments. He earned a PhD in Computer Science and Artificial Intelligence from the University of Deusto and Lancaster University, UK. He is a member of the European IoT Council and the editorial board of the International Journal of Ambient Computing and Intelligence . He has organized and participated in conferences such as IoT, WoT, and IE, and has founded multiple technology startups. His work spans IoT protocols (e.g., WebTag, RFIDGlove), robotics software architectures, and adaptive systems. Recent research emphasizes federated learning, dynamic trajectory adjustment in robotics, and EEG-driven collaborative robotics. His publications reflect a long-term engagement with IoT challenges, context-aware systems, and embedded technologies. No scientific awards are explicitly listed. His advising record remains unspecified, though he has contributed to academic leadership roles. His office hours are 12:00–13:00 on Monday, Thursday, and Friday in Room 589-D (email required for scheduling).

Wei SunView profile

Assistant Professor

• Wireless Communication
• Mobile Computing
• IoT Security
• +3 more

Dr. Wei Sun is an Assistant Professor at the School of Computing, Wichita State University, within the College of Engineering. His research focuses on wireless and mobile computing systems, particularly in designing secure and innovative wireless communication and sensing solutions. He leads the Wireless and Mobile System (WIMOS) Research Group and actively seeks PhD and Master's students for research roles. His work spans IoT security, vehicular networks, and human-centric sensing systems, with notable contributions to RFID-based sensing, adversarial detection in federated learning, and infrastructure-aware communication. Dr. Sun has received several accolades including the 2023 IEEE PerCom Best WiP Paper Award and the 2022 NSF Athena Postdoctoral Scholar recognition. His publications highlight advancements in secure human-centered wireless systems, vehicular security, and spectrum utilization. He contributes to academic service as a PC member for conferences like PETS, ACM CCS, and USENIX Security. The WIMOS lab explores real-world deployment of systems addressing both technical and societal challenges through integrated hardware-software solutions.

Maciej ZawodniokView profile

Associate Professor

• Wireless sensor networks
• Wireless ad-hoc networks
• Passive RFID systems
• +5 more

Dr. Maciej Zawodniok is an Associate Professor of Computer Engineering at the Missouri University of Science and Technology, part of the College of Engineering. He holds a Ph.D. in Computer Engineering from Missouri S&T (2006) and an M.Sc. in Computer Science from Silesian University of Technology, Poland (1999). His research focuses on adaptive and energy-efficient protocols for wireless networks, cyber-physical systems, and RFID systems. He is an investigator at the Intelligent Systems Center and serves as Assistant Director of the NSF I/UCRC on Intelligent Maintenance Systems. Education: Ph.D. in Computer Engineering, Missouri University of Science and Technology (2006) M.Sc. in Computer Science, Silesian University of Technology (1999) Research Interests: Wireless sensor networks RFID systems Energy-efficient protocols RF-based localization Cyber-physical systems Notable Awards: 2013 Outstanding Branch Counselor (IEEE St Louis Section & Region 5) 2013 Outstanding Teaching Commendation Award 2012 Outstanding New Advisor of the Year Award Advising & Grants: Dr. Zawodniok has led NSF-funded projects including the I/UCRC on Intelligent Maintenance Systems and research on memristors for RFID devices. His work emphasizes practical applications in manufacturing, disaster response, and smart grid systems. Collaborations include industry partners like Amplisine. Labs/Teams: Active in the AutoID Research Group and the Missouri S&T Motes project, focusing on wireless network testbeds and RFID innovations.