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Negin Shariati MoghadamView profile

Associate Professor

• RF and Communication Technologies
• Internet of Things (IoT)
• Wireless Power Transfer
• +6 more

Dr. Negin Shariati Moghadam is an Associate Professor in the School of Electrical and Data Engineering at the University of Technology Sydney (UTS), Australia. She leads the RF and Communications Technologies (RFCT) Lab, a state-of-the-art facility with over $3.5M in equipment and 30+ team members. Her research focuses on RF energy harvesting, IoT, metamaterials, and precision agriculture. She has attracted over $6M in grants, including ARC and industry partnerships with NTT, Zetifi, and Food Agility CRC. Dr. Shariati also directs the WiEIT initiative to promote gender equity in STEM. Key achievements include developing Farm-wide WiFi for rural connectivity and winning the 2023 Food Agility Research & Innovation Award. Education: PhD in Electrical-Electronic and Communication Technologies from RMIT University (2016). Industry experience as an electrical engineer (2008-2012). Research Interests: RF energy harvesting, low-power IoT, metamaterials for beamforming, agricultural sensing systems, and wireless communication protocols. Her work integrates machine learning with RF sensing for applications like soil moisture monitoring and secure data transmission. Grants & Collaborations: Co-Director of an ARC Training Centre for Automated Vehicles in Rural Regions (2024-2028) and leader of the $1.7M Sustainable Sensing project with NTT. Industry partnerships include Zetifi for AgTech innovations and Hokkaido University for collaborative research. Awards: Recognized for pioneering RF energy harvesting (Standout IoT Award 2021), ECR excellence (2019), and multiple IEEE accolades. Media engagement includes features in the NSW Smart Sensing Network and Food Agility CRC reports. Lab & Impact: RFCT Lab's innovations include metamaterial lenses for wireless power transfer and compact sensors for smart agriculture. Outputs span 87+ publications and 9 PhD students under supervision.

Caleb KemereView profile

Associate Professor

• Neuroengineering
• Data Science
• Computer Engineering
• +7 more

Caleb Kemere is an Associate Professor in the Departments of Electrical and Computer Engineering and Bioengineering at Rice University. His work bridges neuroscience, engineering, and computer science, focusing on neuroengineering, neural decoding, and real-time brain-computer interfaces. He holds a B.S. in Electrical Engineering (with Honors) and a B.A. in Economics from the University of Maryland, College Park, and a Ph.D. in Electrical Engineering from Stanford University. Before joining Rice in 2011, he was a postdoctoral fellow at the Keck Center for Integrative Neurosciences at UCSF. His research explores hippocampal function in spatial navigation and memory, signal processing for neural interfaces, and developing technologies like miniature microscopes and low-power sensors. He has pioneered frameworks such as Spyglass for reproducible neuroscience research and RealtimeDecoder for online neural decoding. Kemere has received prestigious awards including the NSF CAREER Award (2013), HFSP Young Investigator Award (2014), and BRAIN: EAGER Award (2015). His grants include a five-year NSF grant to study Deep Brain Stimulation (DBS) and a neural engineering IGERT grant. His lab, the Realtime Neural Engineering Lab (RNEL), develops tools for understanding and modulating neural activity. Ongoing work addresses closed-loop brain stimulation, environmental uncertainty modeling in foraging behavior, and sleep-based memory consolidation.

Guillermo Payá VayáView profile

Professor

• Embedded Systems
• Processor Architecture
• FPGA Design
• +5 more

Prof. Dr.-Ing. Guillermo Payá Vayá leads the Chair for Chip Design for Embedded Computing at Technical University of Braunschweig's Faculty of Electrical Engineering, Information Technology, and Physics. His research focuses on processor architecture design, FPGA/ASIC implementations, and optimization techniques for embedded systems, particularly in high-performance, low-power, and radiation-hardened computing domains. Primary research interests include: Application-Specific Instruction Set Processors (ASIPs) and compiler co-design Radiation effects characterization and fault-tolerant hardware Ultra-low-power processor architectures for embedded AI Hardware acceleration of neural networks and computer vision algorithms Memory subsystem optimization and parallel computing techniques Recent publications demonstrate strong emphasis on radiation-hardened electronics (35% of recent works), AI accelerator design (27%), and ultra-low-power systems (20%), with growing interest in biomedical applications. Experimental validation through FPGA prototyping and semiconductor testing is a consistent methodology across research domains. Leads research team investigating: Radiation-tolerant FPGA architectures (Trumann, Weide-Zaage) Vector processor optimization (Gesper, Thieu) Nano-scale controller design (Weißbrich) AI-hardware co-design (Kautz, Beyer)

John BellardoView profile

Professor

• Computer Networking
• Cybersecurity
• Wireless Communication
• +3 more

John Bellardo is a Professor in the Computer Science Department at California Polytechnic State University, San Luis Obispo. His research focuses on cybersecurity, wireless communication protocols, and satellite technology. He holds a Ph.D. and is affiliated with the PolySat Satellite Lab. Key contributions include work on 802.11 security vulnerabilities, CubeSat avionics design, and network routing architectures. Education details are not explicitly provided in the texts, but his professional profile indicates advanced academic qualifications in computer science and engineering. His office is located at 14-235D in the Computer Science Building, with additional presence in the PolySat Lab (192-101). Research interests span wireless denial-of-service attacks, packet reordering analysis, and satellite communication systems. Recent work includes publications on HIDRA routing and CubeSat downlink optimization. Publications highlight practical solutions to network vulnerabilities and innovations in embedded spacecraft systems. No awards or grants are explicitly listed in the provided texts, though his research has been presented at IEEE and USENIX conferences. Labs and collaborations include the PolySat Satellite Lab, where he advises on avionics and mission-critical systems. Office hours and contact details emphasize accessibility for students and colleagues.

• Robotic Vehicles
• Computational Intelligence
• Cooperative Control and Optimization
• +3 more

Lefteris Doitsidis is an Associate Professor at the School of Production Engineering and Management, Technical University of Crete. He holds a PhD in Production and Management Engineering from the same institution (2008), with prior academic positions at the Department of Electronics, Hellenic Mediterranean University. His professional journey includes visiting scholar roles at the University of South Florida, USA. Research focuses on robotic systems, including autonomous navigation of UAVs/AUVs, multirobot teams, computational intelligence, and educational robotics. He leads the Intelligent Systems and Robotics Laboratory, developing tools like HYDRA for STEM education and frameworks for industry 4.0 applications such as bin-picking and precision agriculture. His work integrates control systems optimization, energy efficiency in manufacturing, and digital twin technologies. Over 65 publications span journals, conferences, and books, emphasizing practical implementations like ROS-based autonomous vehicle testbeds and energy management systems for electric vehicles. Key contributions include UAV path planning algorithms, swarm robotics coordination, and sensor fusion techniques. Current research trends emphasize sustainability in manufacturing, educational robotics platforms, and autonomous systems validation through advanced algorithms like Deep Deterministic Policy Gradient.

Aditya Shekhar NittalaView profile

Assistant Professor

• Human-Computer Interaction
• Physical Computing
• Tangible User Interfaces
• +5 more

Aditya Shekhar Nittala is a tenure-track Assistant Professor in the Department of Computer Science at the University of Calgary, directing the DIFF Lab and affiliated with the Interactions Lab. Previously, he was a PhD student at the Max Planck Institute for Informatics and Saarland University, and conducted research at Xerox Research Center India. His research focuses on blending materials science, electrical engineering, and HCI to create novel interactive devices embedded in daily environments, particularly epidermal computing and sustainable fabrication methods. Education: PhD in Computer Science, Max Planck Institute for Informatics/Saarland University (2022) MSc in Computer Science, University of Calgary (Canada) Bachelor's in Computer Science & Engineering, M.S. Ramaiah Institute of Technology (India) Research Interests: Epidermal devices for on-body interaction Biodegradable materials for interactive prototyping Computational design tools for physiological sensors Ubiquitous computing through wearable interfaces Key Contributions: Developed PhysioSkin and Interactive Bioplastics for eco-friendly wearable devices Pioneered SoloFinger gesture recognition system Epidermal computing frameworks balancing tactile sensitivity and device robustness Awards: UIST 2022 Best Paper & Demo Awards NSERC Discovery Grant (2023) NFRF Award (2023) Grants & Labs: Directs the DIFF Lab (Devices, Interaction, Fabrication for the Future) Member of Interactions Lab at UCalgary Received funding for epidermal computing and sensor optimization projects Future Work: Expanding into interactive sports devices, gaming interfaces, and medical applications of epidermal sensors.

Pulugurtha Markondeya RajView profile

Associate Professor

• Electronic Packaging
• Bioelectronic Systems
• Wearable and Implantable Medical Devices
• +6 more

Dr. Pulugurtha Markondeya Raj is an Associate Professor in the Department of Electrical & Computer Engineering at Florida International University. His expertise spans electronic and bioelectronic packaging, heterogeneous integration, wearable medical devices, and advanced passive components. He co-leads technical initiatives in electronic packaging ecosystems, emphasizing nanomaterials and industry partnerships. His research has yielded over 380 publications, 13 patents, and $14M in R&D funding, primarily from industry. He serves as an Associate Editor for IEEE CPMT Transactions and IEEE Nanotechnology Magazine, and chairs IEEE Nanopackaging committees. Education: BS (1999) from IIT Kanpur, ME (1995) from IISc Bangalore, PhD (1999) from Rutgers University. His work focuses on integrating nanomaterials into packaging for 5G, biomedical systems, and power delivery. He has advised over 40 students, many now leading roles at tech giants like Apple and Intel. Research highlights include miniaturized neural recording systems, EMI shielding innovations, and 3D glass-based packages. His articles emphasize trends in 5G packaging, bioelectronic integration, and nanomaterial-driven solutions. Awards include IEEE's Best Associate Editor (2021) and numerous best-paper recognitions. Scientific Contributions: 35+ best-paper awards, 110+ journal papers, 19 book chapters Leadership: IEEE Distinguished Lecturer (2020-2022), Co-Chair IEEE Nanopackaging Technical Committee Grants and Collaboration: Secured $14M+ industry funding; his lab's innovations are commercialized via industry partnerships. Advised students contribute to cutting-edge packaging at major electronics firms. Labs/Teams: Leads research in nanopackaging and heterogeneous integration, advancing technologies like flexible fan-out packaging and embedded bioelectronics.

Ilias E. PerakisView profile

Professor

• Theoretical Condensed Matter Physics
• Ultrafast Optical Phenomena
• Quantum Dynamics
• +2 more

Ilias Perakis is Professor and Chair of Physics at the University of Alabama at Birmingham (UAB), where he leads transformative research in quantum materials and ultrafast phenomena. An OSA Fellow and NSF CAREER awardee, he holds a Ph.D. from the University of Illinois and has held postdoctoral positions at Rutgers University and Bell Laboratories. His research focuses on theoretical condensed matter physics , using quantum many-body theory to model laser-driven superconductors, magnetic systems, and topological materials. Key interests include: Ultrafast optical manipulation of quantum states Terahertz coherence control Multi-dimensional spectroscopy for material design Perakis has restructured UAB's physics curriculum into five career-focused tracks and co-launched Project RAISE to broaden STEMM participation through digital education. His department received the 2023 APS Award for Improving Undergraduate Physics Education for innovative student training. Honors include the NSF CAREER Award and recognition by the Optical Society of America. His research group actively collaborates with national labs on grand-challenge problems in quantum information science.

D'ANIELLO FEDERICOView profile

Researcher

• Electronics
• Integrated Circuits Design
• Quantum Computing
• +3 more

D'ANIELLO FEDERICO is a Fixed-term Researcher at the University of Milan-Bicocca, affiliated with the Department of Physics 'Giuseppe Occhialini'. His work focuses on advanced electronics and integrated circuits design, particularly for quantum computing and automotive networks. Email: federico.daniello@unimib.it His research spans FinFET technology , low-noise amplifier (LNA) design , and single-event upset characterization in nanoscale transistors. Recent studies include applications in cryo-CMOS systems and high-speed automotive transceivers . Key trends in his publications involve semiconductor device modeling , quantum hardware optimization , and robust communication protocols for automotive environments.

Mehrdad NouraniView profile

Professor

• Biometric signal/image processing
• Machine learning for healthcare
• VLSI/SoC design for reliability
• +4 more

Dr. Mehrdad Nourani is a Professor of Electrical and Computer Engineering and Senior Associate Provost for Faculty Affairs at The University of Texas at Dallas. He leads research in healthcare technology, VLSI testing, and embedded systems through the Predictive Analytics & Technologies (PAT) Lab and Quality of Life Technology (QoLT) Laboratories. His work focuses on biometric signal processing for patient monitoring (e.g., epilepsy, diabetes, sleep apnea) and VLSI reliability in nanometer-scale circuits. Education: PhD in Computer Engineering, Case Western Reserve University (1993) M.S. & B.S. in Electrical Engineering, University of Tehran (1986 & 1984) Research Interests: Integrates machine learning with biomedical engineering for wearable healthcare devices, develops novel VLSI testing methodologies, and explores data-driven diagnostics. Key areas include artifact removal in wearable sensors, personalized analytics for pressure ulcers, and SEEG-based seizure network modeling. Advising & Grants: Supervises 6 current PhD/Master’s students. Research supported by NSF, Texas Instruments, UT Southwestern, and others. Co-founded CICS and QoLT labs fostering interdisciplinary collaboration. Labs & Teams: Directs PAT Lab and collaborates through QoLT and CICS. Projects include smart bed systems for ulcer prevention, AI-driven camera platforms for ambulation assessment, and ESD stress analysis in semiconductor devices.

Hermann SeitzView profile

Professor

• Microfluidics
• Additive Manufacturing
• Biomedical Engineering
• +3 more

Prof. Dr.-Ing. Hermann Seitz is a Professor of Microfluidics at the University of Rostock's Department of Mechanical Engineering and Naval Architecture. His career spans roles at the Technical University of Munich, where he studied electrical engineering (diploma, 1997) and earned his PhD in 2002, to leading the Rapid Prototyping group at Bonn's Caesar Research Center (2001-2006), and his current position since 2018. His research focuses on microfluidics and additive manufacturing for biomedical applications , particularly 3D printing of hydrogels , piezoelectric materials , and bioactive scaffolds . Alumni: Technical University of Munich (Electrical Engineering, 1997) Current Affiliation: University of Rostock, Faculty of Mechanical Engineering and Naval Architecture Former Roles: Research Assistant (TUM, 1997-2001), Rapid Prototyping Group Leader (Caesar Research Center, 2001-2006) Professor Seitz's research integrates biomedical engineering and materials science to develop medical devices, implants, and tissue engineering solutions. Key areas include 3D printing for drug delivery systems , bioactive composites , and laser processing . His recent publications emphasize bioresorbable implants , stem cell stimulation , and machine learning in additive manufacturing . His 15 most recent articles (2025) explore topics such as superhydrophobic surfaces , cartilage regeneration , conductive adhesives in FFF , and bioactive hydrogel coatings , reflecting interdisciplinary work at the intersection of materials science and medical technology . Current projects target personalized implants and stimuli-responsive drug delivery using advanced fabrication techniques. Contact: hermann.seitz@uni-rostock.de | Address: Justus-von-Liebig Weg 6, 18059 Rostock, Germany

• Human-Computer Interaction
• Ubiquitous Computing
• Computational Materials
• +3 more

Sai Swaminathan is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee. He earned his PhD from Carnegie Mellon University's Human-Computer Interaction Institute, advised by Scott Hudson. His research focuses on computational materials, ubiquitous computing, and cyber-physical systems, emphasizing low-power, embedded technologies in physical infrastructure. He leads the EPIC Lab, exploring interactive systems integrated into structural materials like concrete and carbon fiber. Education: PhD from Carnegie Mellon University (Human-Computer Interaction Institute). Prior to this, he completed a dual master’s degree at Technical University of Berlin and Universite Paris-Sud XI. Professional experience includes roles at Oak Ridge National Lab, Microsoft Research, and Xerox Research. Research Interests: Developing battery-free interactive devices using non-silicon materials (e.g., concrete, carbon fiber), integrating sensing/actuation into architectural structures. Current projects include OptiStructures (optical sensors in building materials), Duco (large-scale circuit writing), and FiberWire (composite electronics). Notable Awards: Best Paper Honorable Mention at CSCW 2019 for 'Learn2Earn: Using Mobile Airtime Incentives to Bolster Public Awareness Campaigns'. Labs/Teams: Director of the Energy, Printed Infrastructure and Interactive Computing (EPIC) Lab, collaborating with interdisciplinary teams in HCI, ECE, CEE, and Materials Science.

Antonio Calomarde PalominoView profile

Associate Professor

• Low Power Digital Circuits
• Soft Error Resilient Circuits
• Integrated Circuit Design
• +4 more

Antonio Calomarde Palomino is an Associate Professor at the Department of Electronic Engineering, Polytechnic University of Catalonia (UPC), located at the Higher Technical School of Industrial Engineering of Barcelona. He holds a B.S. in Telecommunications Engineering (UPC, 1986), an M.S. in Electronic Engineering (Universitat Autònoma de Barcelona, 1993), and a Ph.D. in Electronic Engineering (UPC, 2007) with honors. His research focuses on low-power/high-performance digital circuits and soft-error resilient designs, addressing challenges in semiconductor technology and radiation-hardened electronics. Key research areas include FinFET-based memory cells, RRAM modeling, and radiation mitigation strategies for advanced nanoelectronics. He contributes to the High Performance Integrated Circuits and Systems Design (HIPICS) Group, advancing circuit design methodologies and educational initiatives such as integrating autonomous vehicle systems into undergraduate curricula. His work bridges theoretical advancements with practical applications in automotive electronics and embedded systems. Publications span topics from memristor-based associative memory to approximation techniques in object detection systems, reflecting a balance between fundamental research and applied engineering. His recent work emphasizes variability-aware design and energy-efficient architectures, as seen in 2023-2024 studies on RRAM models and automotive case studies. Calomarde actively organizes academic events like the 2022 ETS conference and develops educational materials for digital electronics and audiovisual systems courses. His contributions to both technical research and pedagogical innovation solidify his role as a key figure in electronic engineering education and innovation.

Catherine SchumanView profile

Assistant Professor

• Neuromorphic Computing
• Artificial Intelligence
• Hardware-Software Co-Design
• +7 more

Catherine Schuman is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, part of the Tickle College of Engineering. Her work focuses on neuromorphic computing, spiking neural networks, and AI-driven hardware-software co-design. She holds a Ph.D. and B.S. in Computer Science and Mathematics from the University of Tennessee (2015 and 2010, respectively). Research interests include neuromorphic systems, energy-efficient computing architectures, stochastic devices, and applications of neuromorphic computing in scientific domains like materials science and quantum materials. She emphasizes benchmarking frameworks (NeuroBench) and real-world applications such as radiation detection and control systems. Her recent publications (2023-2025) highlight advancements in neuromorphic hardware-software co-design, spiking reinforcement learning frameworks, and neuromorphic implementations for scientific computing. Notable contributions include frameworks like SpikeRL, NeuroPong, and the RISP neuroprocessor, emphasizing open-source tools for embedded neuromorphic computing. No scientific awards are explicitly listed in the provided information. She actively explores cross-disciplinary applications, including combustion control and materials discovery through AI-enhanced device design.

Tzu-Chieh Kurt HongView profile

Assistant Professor

• Shape Grammars
• Visual Computing
• Generative Modeling
• +4 more

Dr. Tzu-Chieh Kurt Hong is an Assistant Professor at the Department of Architecture within the School of Architecture and Design at the University of Kansas. He teaches design studios, algorithmic modeling, parametric design, and computer programming in design studies. He founded K9K Research & Design, focusing on innovative computational design methodologies. His research emphasizes shape grammars, visual computing, and generative modeling, particularly through the development of the Shape Machine—a computational tool integrating shape recognition and rewriting into CAD systems. Education: Ph.D. in Architecture (Design Computation), Georgia Institute of Technology (2021) M.S. in Architecture and Design, University of Michigan (2016) Master of Architecture, National Chiao Tung University (2008) M.S. and B.S. in Electronics Engineering, National Chiao Tung University (Taiwan) Research Interests: Shape embedding and rewriting in CAD systems Algorithmic design and generative systems Integration of traditional methods (e.g., Euclidean geometry) with computational tools Applications in architectural education and practice Awards: 2022 ARCC Dissertation Award for contributions to CAD systems through shape recognition research Professional Experience: Research Scientist at Georgia Tech's Shape Computation Lab (2016–2022) Contributions include the Shape Machine framework and the Smart 3D Atlanta visualization platform Labs/Teams: Leads the K9K Research & Design initiative, collaborating with academic and industry partners on computational design tools and generative workflows.