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Robert H Morelos-ZaragozaView profile

Professor

• Channel Coding
• Ultrawideband Communications
• RFID Systems
• +5 more

Robert H Morelos-Zaragoza is a Professor in the Department of Electrical Engineering at San José State University , where he teaches undergraduate and graduate courses in digital communications and directs MSEE projects and theses. His research focuses on Channel Coding , Ultrawideband Communications , RFID Systems , and Digital Signal Processing . Doctor of Philosophy (PhD), Electrical Engineering, University of Hawaii at Manoa, 1992 Master of Science in Electrical Engineering (MSEE), Communications, National Autonomous University of Mexico (UNAM), 1987 Bachelor of Science in Electrical Engineering (BSEE), Electronics and Communications, UNAM, 1985 His research spans error correcting coding (ECC/FEC), software-defined radio (SDR), space-time signal processing, and ultra-wideband (UWB) communication systems. Recent publications highlight advancements in multi-valued sequence generation , reversible data hiding , and random number generator analysis . Professional affiliations include Senior Member of IEEE , IEICE (Japan) , and Eta Kappa Nu . His career includes roles as a Visiting Researcher at the University of California at Santa Cruz (2005), Visiting Professor at Intel Corporation (Summer 2004), and positions at LSI Logic, Sony Computer Science Laboratories, and Osaka University.

• Artificial intelligence
• Data mining/analytics and knowledge discovery
• Data science
• +4 more

Professor Simeon Simoff is Dean of the School of Computer, Data & Mathematical Sciences at Western Sydney University , with a career spanning institutions like University of Technology Sydney , University of Sydney , and Middle East Technical University . His work bridges Artificial Intelligence , Data Mining , and Virtual Worlds , focusing on visual analytics and human-computer interaction . Qualifications: PhD, Moscow Power Engineering Institute MScEng, Moscow Power Engineering Institute BScEng, Moscow Power Engineering Institute Research Interests include AI interpretability , data sonification , and immersive environments , as evidenced by projects like Visual Data Mining (Springer, 2008) and FriendZone Smart Living Space (2010-2011). His 15 most recent publications (2014-2021) span genomics visualization , RFID healthcare applications , and 3D virtual agent design . Awards & Leadership: Founding Director of the Institute of Analytics Professionals of Australia Editor of ACS Conferences in Research and Practice in Information Technology (CRPIT) series Associate Editor for ASCE's Journal of Computing in Civil Engineering Projects include Waves of Words (2018-2022, Australian Research Council) and Deep Learning of Complex Genomics Data (2016-2017, Cancer Institute NSW), with collaborations across Sydney Children's Hospital Network and Intersect Consortium .

• 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.

Anastasia LavrenkoView profile

Assistant Professor

• Signal Processing
• Wireless Systems
• Radio Localization
• +2 more

Anastasia Lavrenko is an Assistant Professor at the Radio Systems group within the Faculty of Electrical Engineering, Mathematics and Computer Science at the University of Twente. Her expertise lies in signal processing and parameter estimation for wireless systems, particularly in radio localization and harmonic radar applications. PhD in Electrical Engineering (Signal Theory) from Ilmenau University of Technology Postdoctoral research at Scion (New Zealand Forest Research Institute) and University of Canterbury Research focuses on： Harmonic radar systems for insect tracking Nonlinear radar with auxiliary transmitters Compact antenna design for wireless sensors Single-bit localization algorithms Notable projects include the NWO VENI-funded Beyond Bugging initiative for wireless sensing. Collaborations span institutions like the University of Canterbury and industry partners in radar development. Recipient of NWO VENI talent grant Led research groups in harmonic radar development and co-authored 43 publications. Current work explores microwave-based localization for medical robots and UAV swarms for entomological monitoring.

Giovanni Del GaldoView profile

Professor

• Wireless Communications
• Signal Processing
• Channel Modeling
• +6 more

Giovanni Del Galdo is a full Professor at the Technische Universität Ilmenau, where he leads the Electronic Measurement Technology and Signal Processing (EMS) group within the Faculty of Electrical Engineering and Information Technology. He also maintains an affiliation with the Fraunhofer Institute for Integrated Circuits IIS. Since 2012, he has directed a research group comprising both a Fraunhofer department and a university chair, which expanded to approximately 60 staff members following a 2016 merger with another research group. Del Galdo received his Laurea degree in Telecommunications Engineering from Politecnico di Milano in 2002 and his Dr.-Ing. from TU Ilmenau in 2007 under Prof. Martin Haardt, with a dissertation titled "Geometry-based Channel Modeling for Multi-User MIMO Systems and Applications." Prior to his current position, he worked as a Senior Scientist at Fraunhofer IIS and was a member of the International Audio Laboratories Erlangen, where he focused on audio watermarking and spatial sound representation. His research spans multidimensional signal processing, wireless communications, and advanced measurement techniques. He specializes in channel modeling, MIMO systems, Over-The-Air testing, and high-resolution parameter estimation methods including compressed sensing. His work addresses challenges from sub-THz frequencies to practical industrial applications. Analysis of his recent publications reveals strong focus on wireless channel characterization, particularly for 5G/6G and V2X applications. His research integrates theoretical signal processing with practical measurement systems, often developing novel hardware implementations for real-world testing scenarios. Key application areas include automotive communications, industrial measurement systems, and next-generation wireless technologies. Del Galdo actively supervises numerous research projects and has extensive experience with laboratory testbed development for wireless systems validation. His group maintains advanced facilities for channel sounding, OTA testing, and signal processing algorithm development, supporting both academic research and industry collaboration.

• Internet of Things (IoT)
• Wireless Communications
• RFID Systems
• +7 more

Mohamed El Hadidy is Professor of IoT and Digital Communication Engineering at RheinMain University of Applied Sciences (HSRM), serving as Head of the IoT and Digital Communications Engineering Department and Internationalization Officer at ITE. He also acts as Counselor for the IEEE HSRM Student Branch. With extensive experience from academic institutions in Germany and abroad, Professor El Hadidy emphasizes deep theoretical understanding while maintaining practical applicability in his work. His teaching portfolio spans multiple engineering disciplines with courses including Networked Systems for IoT, Wireless Communications, and Digital Communication Technology across both Bachelor's and Master's programs. IoT for Automated Systems and Mobile Applications Chipless RFID Systems Positioning, Localization and Navigation Systems UWB MIMO Communication Systems Channel Modeling and Systems Emulation Cognitive Radio and Spectrum Sensing Interference Alignment RADAR, Imaging and Inverse Scattering Cancer Detection and Biomedical Applications Jamming and RF Hacking Professor El Hadidy has published over 60 international papers and serves as reviewer for IEEE transactions in Antennas and Propagation, Vehicular Technology, and Communications societies. His research bridges academic theory with industrial applications through multiple funded projects. Keynote speaker at international conferences Chair and co-organizer of IEEE conferences As an academic mentor, he has successfully supervised multiple PhD and Master's students. His laboratory maintains strong industry connections focused on practical implementations of communication technologies, particularly in automotive systems, biomedical applications, and secure communications.

• Construction Management
• Civil Engineering
• Computer Science
• +3 more

Professor Joe Tah is the Pro Vice-Chancellor for Research and Innovation and Dean of the Faculty of Technology, Design and the Environment at Oxford Brookes University. His academic career spans over three decades, focusing on construction management, civil engineering, computer science, and artificial intelligence. He leads a faculty encompassing Architecture, Arts, the Built Environment, and Engineering/Computing. Prior roles include Founding Head of the School of the Built Environment and Associate Dean at Oxford Brookes, as well as professorial positions at the University of Salford and London South Bank University. Education: BSc (Hons) Civil Engineering (Birmingham University), MSc and PhD in Civil Engineering and Construction Management (Loughborough University). Research interests include sustainable construction, BIM, RFID technologies, and knowledge management systems. He has secured over £10M in research funding, leading projects on sustainable urban planning, low-impact building design, and digital twin applications. Research highlights include the BIM-enabled Collaborative Platform for Innovative Low Impact School Procurement (EPSRC/Innovate UK-funded) and the SURegen project on sustainable urban regeneration (EPSRC). His work also addresses post-conflict reconstruction (e.g., Mosul City) and climate resilience in construction supply chains. Professional roles include Board Trustee at Oxford Preservation Trust and membership in the Oxfordshire Local Enterprise Partnership’s Clean Growth sub-group. Awards include Fellowships from the Royal Institution of Chartered Surveyors (FRICS) and Chartered Institute of Building (MCIOB).

• Cyber-physical system security
• Smart Grid security
• Networked systems algorithms
• +3 more

Binbin Chen is an Associate Professor in Information Systems Technology and Design at Singapore University of Technology and Design (SUTD). His research focuses on enhancing the security and efficiency of interconnected systems like cyber-physical systems and IoT networks. Prior to his current position, he earned a PhD from National University of Singapore (NUS) and a Bachelor's from Peking University, both in Computer Science. Key research areas include smart grid security, networked systems algorithms, and safety-security co-analysis. Notable contributions include work on RFID protocols, fault-tolerant distributed systems, and secure substation control mechanisms. His research has been funded by Singapore's Energy Market Authority (EMA), A*STAR, and the Singapore Cybersecurity Consortium. Publications highlight advancements in secure substation command delaying, privacy-preserving electricity data sharing, and fault-tolerant aggregate function computation. He leads development of tools like CyberSAGE for cyber-physical system security assessment and SoftGrid for substation cybersecurity testing. Received Best Paper Award at ACM SIGCOMM 2010 Contributed to over 30 peer-reviewed journal/conference publications Active in professional service including journal reviewing and conference organization Current research emphasizes integrating security and safety engineering principles in critical infrastructure systems, with particular focus on railway and smart grid resilience.

Rajalakshmi NandakumarView profile

Assistant Professor

• Mobile Health
• User Interface Design
• Internet of Things (IoT)
• +4 more

Rajalakshmi Nandakumar is an Assistant Professor at Cornell Tech and Cornell University's Computing and Information Science department. She leads the wireless and mobile systems lab, focusing on healthcare technologies and IoT. Her work spans non-invasive medical diagnostics (e.g., sleep apnea detection via smartphones), opioid overdose detection systems, and innovative human-computer interaction methods like FingerIO. Nandakumar earned her Ph.D. from the University of Washington's Paul G. Allen School of Computer Science in 2015. Affiliations: Jacobs Technion-Cornell Institute, Cornell Tech, Computing and Information Science Department Educations: Ph.D. in Computer Science, University of Washington (2015) Research interests include mobile health applications, ubiquitous computing, and leveraging wireless signals for real-world impact. Notable achievements include commercializing ApneaApp with ResMed and developing overdose detection systems through Sound Life Sciences. She has received prestigious awards such as the Marconi Society Paul Baran Young Scholar Award and SenSys 2018 Best Paper. Her lab explores cutting-edge technologies like Living IoT (deploying sensors on live insects) and 3D localization for tiny devices. Teaching includes courses on modern mobile systems and graduate-level research supervision.

• Breast Cancer
• Melanoma
• Surgical Oncology
• +4 more

Prof. Arnold Hill is a Professor and Chair of Surgery at the RCSI University of Medicine and Health Sciences, as well as Dean of Medical Programmes. He is affiliated with Beaumont Hospital and leads the National Breast Screening Programme (BreastCheck). His clinical expertise spans breast cancer, melanoma, and sarcoma, with research focusing on breast cancer transcriptional control and coregulatory proteins. He holds academic roles including Editor of the Irish Journal of Medical Science and leadership in the Society of Academic and Research Surgeons. Education: MB, BCh, BAO (University College Dublin), MCh (UCD), and Fellowship from RCSI. His career includes training at the Hospital of the University of Pennsylvania, Memorial Sloan Kettering Cancer Centre, and postgraduate studies in surgical leadership. Research interests include surgical oncology innovation, sustainability in healthcare, and infection control. Over 470 publications cover breast cancer therapeutics, surgical techniques, and healthcare policy. Awards include four teaching awards, and he leads grants on postoperative exercise and antibiotic protocols. He contributes to the RCSI’s Cancer Surgical Science and Practice research cluster and collaborates with national/international institutions.

Bo ShengView profile

Associate Professor

• Collaborative AI
• Edge Computing
• Mobile Computing
• +3 more

Dr. Bo Sheng is an Associate Professor in the Department of Computer Science at the University of Massachusetts Boston. He holds a Ph.D. from the College of William and Mary and a B.S. from Nanjing University (China), both in Computer Science. His research focuses on collaborative AI, edge computing, mobile computing, cloud computing, cyber security, and wireless networks. He has served on Technical Program Committees for MILCOM 2025, IEEE Healthcom 2025, and IEEE ICC 2025. His recent work addresses challenges in data center congestion control, cloud-based object detection, and resource allocation in distributed systems. Dr. Sheng currently advises two Ph.D. students: Allen Yang (4th year) and Xiangtao Fu (1st year). His office is located in McCormack Hall, Room M-3-201-23. Research highlights include developing algorithms for optimizing network performance in disaggregated storage systems and enhancing fairness in data center operations. His publications span topics like machine learning-driven memory management and game-theoretic approaches to edge-cloud revenue sharing. Dr. Sheng’s contributions also extend to wireless signal analysis for mobile device proximity monitoring and secure RFID systems.

Edip NiverView profile

Professor

• Antenna Design
• Waveguide Systems
• Microwave Engineering
• +2 more

Edip Niver is Professor of Electrical and Computer Engineering at NJIT, having joined the institution in 1982. His research spans antenna systems, waveguide technologies, and electromagnetic applications in communications and sensing. With degrees from Middle East Technical University (PhD 1979, MS 1973, BS 1970), his work bridges theoretical electromagnetics and practical RF engineering. Recent publications focus on waveguide antenna systems, microwave beam launchers, and impedance matching techniques, with applications in telecommunications and RF systems. His laboratory develops advanced electromagnetic solutions for modern communication challenges.

Shan LinView profile

Associate Professor

• Cyber physical systems
• Wireless networks
• Networked information systems
• +7 more

Shan Lin is an Associate Professor in the Department of Electrical and Computer Engineering at Stony Brook University, affiliated with the College of Engineering and Applied Sciences. His research focuses on cyber-physical systems, wireless networks, and sensing technologies, addressing challenges in resilient control, smart mobility, and healthcare applications. Lin's work spans theoretical foundations (e.g., formal methods, game theory) and practical implementations (e.g., wearable sensors, smart city systems). He holds a PhD in Electrical Engineering and has contributed to projects like the CyberCardia initiative modeling implantable cardiac devices. His research integrates machine learning, optimization, and embedded systems to solve real-world problems in energy management, healthcare monitoring, and urban infrastructure resilience. Lin leads interdisciplinary teams developing solutions for electric vehicle coordination, real-time emotion recognition, and resilient cyber-physical systems. His publications emphasize safety-critical systems, adaptive control, and human-in-the-loop systems, with applications ranging from smart grids to biomedical devices.

David RickettsView profile

Professor

• Integrated Circuits
• Nano- and Micro-Systems
• High-Speed Electronics
• +5 more

David Ricketts is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University (NC State). He holds a Ph.D. from Harvard University and bachelor's/master's degrees from Worcester Polytechnic Institute. Prior to academia, he spent 8 years in industry developing over 40 integrated circuits for mixed-signal, RF, and power management applications. His research bridges physics, materials science, and circuit design to explore the ultimate capabilities of microelectronic devices and their integration into high-performance systems. Key focuses include nano/micro-integrated circuits for analog/high-speed applications, metamaterials, wireless power transfer, and additive manufacturing for millimeter-wave components. Education: Ph.D. in Engineering and Applied Sciences, Harvard University (2006) B.S./M.S. in Electrical Engineering, Worcester Polytechnic Institute Ricketts has pioneered innovations like the NC State Rabbit Radar (a DIY FM-CW radar) and sweat-powered BLE backscatter sensors. His work frequently explores practical applications of theoretical physics, such as using magnetoquasistatic fields for football tracking and 3D-printed waveguides for microwave systems. Notable awards include the NSF CAREER Award (2013) and the William F. Lane Outstanding Teaching Award (2021). His publications emphasize hands-on education, reconfigurable metamaterials, and high-efficiency wireless power systems. He leads projects funded by the Chancellor’s Innovation Fund for applications like wireless EKGs and rapid antibody tests. Research groups under his guidance focus on labs like the Monteith Research Center, where additive manufacturing and electromagnetic systems are actively explored. His work often bridges academic research with industrial relevance, leveraging both theoretical rigor and practical prototyping.

• Wireless Networks
• Internet of Things (IoT)
• Fog Computing
• +7 more

Luis Orozco-Barbosa is a full-time Professor in the Department of Systems Informatics at the Universidad de Castilla-La Mancha, Spain. He previously held academic positions at the University of Ottawa, Canada, progressing from Assistant to Full Professor in the School of Information Technology and Engineering and the Department of Electrical and Computer Engineering. His career spans over three decades, with a consistent focus on networking, wireless systems, and emerging technologies. Research Interests: His primary research areas include Wireless Networks, Internet of Things (IoT), Fog and Edge Computing, Indoor Localization, Smart Cities, and Energy-Efficient Communication Protocols. He has made significant contributions to MAC layer design, sensor networks, and the application of AI in network optimization. His work bridges theoretical modeling with practical implementation in real-world systems. Publication Trends: His recent publications (2022–2025) reflect a strong emphasis on next-generation wireless standards (e.g., IEEE 802.11ah), deep learning for localization, federated-fog architectures, and energy-aware algorithms for IoT. The interdisciplinary nature of his research is evident in journals spanning signal processing, computer-aided design, human-computer interaction, and mathematical modeling. Scientific Awards: Investigador RENACYT - Grupo Carlos Monge Medrano - Nivel I Grants and Funding: He has secured multiple competitive research grants from Spanish national and regional agencies, including the Ministry of Economy and Competitiveness and the Ministry of Education, Culture and Sport. His funded projects address high-performance server optimization, reliable data center architectures, UAV applications, and wireless sensor networks in viticulture (WISEVINE2). These grants highlight his leadership in applied research with societal and industrial impact. Labs and Research Teams: While specific lab names are not mentioned, his frequent collaborations with researchers such as Manuel Castillo-Cara, Javier Gómez, and Raúl García-Castro suggest active leadership in a research group focused on smart systems, IoT, and network protocols at Universidad de Castilla-La Mancha.