جست‌وجوی استاد و پژوهشگر

• Analog IC Design
• Machine Learning
• Optimization Algorithms
• +۲ مورد دیگر

Nuno Horta is a researcher at Instituto de Telecomunicações specializing in electronic design automation. His work integrates machine learning with analog IC design, developing optimization methodologies for RF circuits and biomedical devices. Recent publications focus on neural network-based placement tools, millimeter-wave power amplifiers, and ultra-low-power wearable sensors. Collaborative projects include automated design flows for radiation-hardened space electronics and ANN-based yield optimization techniques. He co-leads research on AI-driven circuit synthesis and serves as reviewer for IEEE TCAS and Integration journals. Current NSF-funded projects explore physically integrated design concepts for additive manufacturing.

Jun Gaoمشاهده پروفایل

استاد

• Photonics
• Electrochemistry
• Organic Electronics
• +۴ مورد دیگر

Jun Gao is a Professor and Chair of Engineering Physics at the Department of Physics, Engineering Physics, and Astronomy at Queen's University. He holds a cross-appointment in the Department of Chemistry within the Faculty of Arts and Science. His research focuses on organic photonics and iontronics, particularly solid-state bipolar electrochemistry and novel device structures like large planar light-emitting electrochemical cells (LECs). Education: PhD from the University of California, Santa Barbara. His work bridges condensed matter physics, device physics, and polymer science, emphasizing interdisciplinary innovation. Key interests include polymer semiconductors, iontronics, and optoelectronic applications. Research Themes: Photonics and electro-optical engineering Quantum photonics Physical chemistry of polymers Energy harvesting via triboelectric nanogenerators Bipolar electrochemistry in organic devices Recent publications highlight advancements in low-cost energy harvesting systems, ultra-large LECs, and fundamental studies of charge transport in organic materials. His lab (LOPI) develops scalable optoelectronic devices with applications in sensing and lighting.

Elena Hadzievaمشاهده پروفایل

استاد

• Fractal Geometry
• Iterated Function Systems
• Computer Aided Design
• +۴ مورد دیگر

Elena Hadzieva, PhD, is a Full Professor and currently serves as Dean of the Faculty of Information Systems, Visualization, Multimedia and Animation at the University of Information Science and Technology ‘St. Paul the Apostle’ in Ohrid, North Macedonia. She holds a PhD in Mathematics from the University ‘Ss. Cyril and Methodius’ (Skopje) with a thesis on Iterated Function Systems. Her academic journey includes roles from Assistant Professor (2004) to Associate Professor (2015) before attaining Full Professor status in 2020. Education: PhD in Mathematics (2009), University ‘Ss. Cyril and Methodius’, Skopje MSc in Mathematics (2004), University ‘Ss. Cyril and Methodius’, Skopje BSc in Mathematics (1999), University ‘Ss. Cyril and Methodius’, Skopje Research focuses on Fractal Geometry, Dynamical Systems, and Educational Mathematics, with contributions to software applications for fractal modeling and interdisciplinary STEM education. Recent work addresses medical imaging challenges, pandemic-era online teaching, and analog circuit design. Her articles reflect multidisciplinary engagement: combining fractal analysis with medical diagnostics (e.g., melanoma detection), developing educational tools for 3D fractals, and analyzing pandemic-era pedagogical innovations. She also contributes to electrical engineering through low-power amplifier designs and fault-tolerant systems. Professional roles include Membership in the American Mathematical Society (AMS), Macedonian Mathematical Society, and leadership in CEEPUS networks (e.g., Active Methods in Teaching Mathematics). She serves as National Contact Point for SEFI’s Mathematics Working Group and Editor of the journal Numerus. Her administrative leadership includes coordinating national STEM education initiatives and managing interdisciplinary academic programs. She has pioneered software tools for fractal visualization and contributed to defense technology via IR imaging research.

Irtaza Shahidمشاهده پروفایل

پژوهشگر

• Secure and Private Speech Communication
• Generative AI and Speech/Audio Models
• Deepfake and Misinformation Detection
• +۳ مورد دیگر

Irtaza Shahid is a Ph.D. candidate in Computer Science at the University of Maryland, College Park, and a Researcher in the Networking, Mobile Computing, and Autonomous Sensing Lab (iCoSMoS) under Prof. Nirupam Roy. He is also a Founding Deep Learning Engineer at Hearvana.ai, a stealth AI startup under the AI2 Incubator. Ph.D. in Computer Science (University of Maryland, College Park) MS in Computer Science (University of Maryland, College Park) BS in Electrical Engineering (Lahore University of Management Sciences, Pakistan) His research spans Human-Centric Acoustics , focusing on Speech Privacy , Deepfake Detection , and Earable-Based Health Sensing . He has published in top venues like USENIX Security, ACM MobiSys, and IEEE ICASSP. Recent publications highlight Secure Speech Communication (USENIX Security 2025), UWB Localization (NSDI 2025), and Privacy Frameworks for Extended Reality (HotMobile 2025). These works emphasize Edge AI , Low-Power Acoustic Systems , and Signal Integrity . Scientific Awards: Student Travel Grant (USENIX Security 2025), Student Seed Funding (Maryland Cybersecurity Center 2023), Dean's Fellowship (University of Maryland 2020), and multiple Dean's Honor List Awards (LUMS 2016-2020) His projects include VoiceSecure (tamper-proof speech systems), DPOAE Estimation (health sensing via earbuds), and ThermWare (side-channel defense for IoT devices). He has contributed to Audio Engineering Society conferences and collaborated with industry partners like Nokia Bell Labs.

Harshvardhan Takawaleمشاهده پروفایل

پژوهشگر

• Wearable Sensing
• Acoustics
• Multimodal Imaging
• +۷ مورد دیگر

Harshvardhan Takawale is a third-year Computer Science PhD student at the University of Maryland College Park, affiliated with the iCoSMoS Lab under Prof. Nirupam Roy. He has previously worked as a Lead Researcher at Silence Laboratories Singapore and interned at Nokia Bell Labs UK and Cambridge. Education: B.E. in Computer Science from BITS Pilani (2020), currently pursuing PhD at UMD. Research Interests: Focus on enabling acoustic and RF sensing on low-power wearable platforms, gesture/micro-motion detection for smart environments, and physics-informed ML for context-aware systems. His work bridges hardware constraints with advanced inference for ubiquitous healthcare and mobility services. Recent Publications: Contributions to wearable interfaces (Scribe), auditory attention detection on earables, and low-power acoustic event sensing highlight his expertise in multimodal systems and signal processing. Earlier works span cybersecurity (malware detection), NoC fault tolerance, and continuous authentication. Scientific Awards: Dean's Fellowship at UMD Computer Science (2022, 2023). Roles & Projects: Interned at Nokia Bell Labs on earable-based attention detection; led Silence Laboratories' projects on co-location authentication (>92% accuracy) and landmark extraction for proof-of-visit. Also served as Publicity Chair for HumanSys 2024.

Visvesh S Satheمشاهده پروفایل

دانشیار

• Energy-Efficient Computing
• Implantable Electronics
• Power Management Systems
• +۵ مورد دیگر

Visvesh S. Sathe is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. Previously, he served as Associate Professor at the University of Washington (2013-2022) and held roles at AMD (2007-2013), where he contributed to energy-efficient microprocessor design. His research focuses on energy-efficient computing, implantable electronics, and closed-loop neural interfaces. He leads the Processing Systems Lab (PSyLab), exploring computational techniques for hardware optimization in digital and mixed-signal systems. Education: B.Tech from IIT Bombay; M.S. and Ph.D. from the University of Michigan, Ann Arbor. Research Interests: Energy-efficient IC design, power management architectures, bi-directional neural interfaces, adaptive baseband processing, and SoC optimization. His work emphasizes run-time control of clocking, voltage regulation, and thermal management. Key Awards: NSF CAREER Award (2019), Intel Outstanding Researcher Award (2021), and IEEE Distinguished Lecturer (2021-2022). Notable contributions include the first resonant-clocked production processor and adaptive clocking for supply droop mitigation. Advisees/Grants: While specific grant details aren't provided, his lab’s work is funded by NSF and industry partnerships. His research spans from circuit-level innovations to system-level integration, with applications in biomedical and high-performance computing. Labs/Teams: PSyLab at Georgia Tech drives interdisciplinary projects in energy-efficient systems and neural interfaces, collaborating with industry and academic partners globally.

Mahla Poudinehمشاهده پروفایل

استادیار

• Biosensors
• Microfluidics Technology
• Biomedical Engineering
• +۳ مورد دیگر

Assistant Professor Mahla Poudineh is a researcher at the University of Waterloo, affiliated with the Integrated Devices and Early Awareness Lab . Her work focuses on advanced biosensing technologies, particularly hydrogel microneedles and microfluidic platforms for real-time, non-invasive monitoring of biomarkers such as glucose, insulin, and toxins. She designs wearable devices and integrates nanomaterials like quantum dots and perovskites to enhance sensor performance and functionality. Her research also addresses challenges in plasma separation, continuous pH measurements, and antibiotic treatment assessment using novel materials and engineering approaches. Education details are not explicitly provided in the text. However, her research contributions indicate a strong background in biomedical engineering and materials science. Her affiliations include the University of Waterloo's faculty and full-time academic position. Her research interests span electrochemical biosensors , nanostructured architectures , and lab-on-a-chip systems , with a focus on applications in personalized healthcare and disease diagnosis. She develops technologies for rapid detection of biomolecules in live subjects, emphasizing enzyme-free sensing and in situ monitoring . Recent work trends highlight innovations in self-powered biomarker sensing, multiplexed detection systems, and optimization of sensor stability using materials like polydopamine and agarose-gel. Her contributions address both fundamental and applied aspects of biosensing, including device fabrication, signal processing, and clinical validation. No scientific awards were explicitly mentioned in the provided text. Her academic profile emphasizes technical contributions rather than award recognition. Advising and grants details are not listed here, but her role as an Assistant Professor suggests involvement in graduate student supervision and research funding. She leads the Integrated Devices and Early Awareness Lab, which focuses on next-generation health monitoring technologies, including microneedle-based assays and microfluidic platforms for biomedical applications.

• Plasma nanoscience
• Nanotechnology
• Nanofabrication
• +۱۳ مورد دیگر

Professor Kostya Ostrikov is a leading academic at the Queensland University of Technology (QUT) , affiliated with the Faculty of Science . His research spans interdisciplinary domains in Plasma Nanoscience, Materials Engineering, and Advanced Manufacturing , focusing on harnessing plasma technologies for nanofabrication, energy solutions, and biomedical applications. His work explores the synthesis of functional nanomaterials and devices using reactive plasmas, with applications in Low-Temperature Plasma Applications for energy, environmental remediation, and health care. Recent publications highlight advancements in plasma-assisted catalysis, supercapacitor design, and cancer-targeted nanomaterials, underscoring his cross-disciplinary impact in Chemical Engineering , Optoelectronics , and Renewable Energy Systems . Professor Ostrikov coordinates the Physics Honours Program at QUT, encouraging students to pursue research in Nanoscience, Materials Science , and related fields. His research integrates Artificial Intelligence in catalyst design and emphasizes Sustainable Chemistry for industrial and medical innovations.

• Health Disparities
• Cancer Care
• Health Equity
• +۳ مورد دیگر

Do Lee is a Researcher at the COPPER Center within the Yale School of Medicine at Yale University. She holds a B.S. in Elementary Education from the University of Maryland, College Park, and an MPH in Biostatistics from George Washington University. Her research focuses on addressing racial and socio-economic disparities in cancer care to advance equitable healthcare. She contributes to interdisciplinary efforts in health equity, biostatistics, and public health, leveraging her expertise to improve patient outcomes through data-driven strategies. Affiliated with both the COPPER Center and the Department of Internal Medicine, her work integrates statistical methodologies with clinical and translational research. While no awards are explicitly noted, her contributions to health disparities research reflect a commitment to impactful translational science. Her scholarly publications span neuromorphic computing, artificial synapse electronics, and efficient machine learning techniques, demonstrating a blend of computational innovation and applied health research. Collaborations likely bridge engineering and medical domains to address complex healthcare challenges.

Muhammet Tahir Güneşerمشاهده پروفایل

دانشیار

• Electromagnetics
• Microwave Engineering
• Antenna Design
• +۳ مورد دیگر

Muhammet Tahir Güneşer is an Associate Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU). With a doctorate from Karabuk University (2015), master's from Istanbul University (2010), and bachelor's from ITU (1999), he specializes in electromagnetics, microwave engineering, and renewable energy systems. Education: Doctorate (Karabuk University, 2015), Master's (Istanbul University, 2010), Bachelor's (ITU, 1999) Research Interests span broad disciplines including: Electromagnetics Microwave Engineering Antenna Design Embedded Systems Renewable Energy Systems Wireless Communication His work focuses on microwave imaging, low-power sensor design, and energy-efficient communication systems, collaborating with ITU Electromagnetics Research Group and industry partners like Procenne Company. Key Projects include: 6G Mobility-Aware Augmented Reality Connected Drones Communication Portable Microwave Hyperthermia Devices Deep Learning for Inverse Problems He has contributed to various scientific initiatives involving ultralow-power sensors, cryptographically secure random number generators, and thermal modeling of underground cables.

Jukka Pekolaمشاهده پروفایل

استاد

• Quantum Technology
• Mesoscopic Physics
• Superconductivity
• +۴ مورد دیگر

Jukka Pekola is a Professor at Aalto University's School of Science, holding positions in the Department of Applied Physics, the Centre of Excellence in Quantum Technology (QTF), and the Quantum Phenomena and Devices group. He earned a Doctoral degree in Engineering and Technology from Helsinki University of Technology (1984) and a Master's degree (1982) from the same institution. His research focuses on quantum thermodynamics, nanoscale superconductivity, and mesoscopic physics, with contributions to quantum refrigeration, superconducting circuits, and cryogenic measurement techniques. He leads multiple EU and Academy of Finland-funded projects, including TcQTD (2024–2027) and QNet (2024–2027). Pekola has received prestigious awards such as the Academy Professor title (2014–2018) and the Simon Memorial Prize (2020). His research explores thermalization in quantum systems, Josephson junction dynamics, and quantum heat transport. Over 470 publications and 31 active projects highlight his impact. Notable contributions include bolometric detection of Josephson radiation and ultra-sensitive calorimetry of quantum phase slips. He actively collaborates globally, presenting invited talks on topics like quantum thermodynamics and nano-thermometry. Pekola's work contributes to UN Sustainable Development Goals through advancements in low-temperature physics and quantum technology. His lab focuses on developing quantum sensors and understanding nanoscale energy transfer mechanisms. He supervises research leading to 26 theses and chairs the Finnish National Quantum Institute (InstituteQ).

Sumeet Waliaمشاهده پروفایل

استاد

• Nanoelectronics
• Photonics
• Materials Engineering
• +۷ مورد دیگر

Professor Sumeet Walia is a leading academic and innovator at RMIT University's School of Engineering, specializing in nanoelectronics, photonics, and materials engineering. As Director of the RMIT Centre for Opto-electronic Materials and Sensors (COMAS), he focuses on translating advanced material systems into real-world applications in healthcare, energy, and manufacturing. His research emphasizes low-dimensional materials, neuromorphic devices, and sensor technologies, with over 160 peer-reviewed publications and 12 patents. Walia is also actively involved in promoting equity, diversity, and inclusion in STEM through roles like Co-Chair of Science and Technology Australia's Equity, Diversity, and Inclusion Committee. Award-winning and internationally recognized, Walia has received honors including the Eureka Prize for Emerging Leader in Science and MIT Technology Review's Top Innovator under 35. His work bridges academia and industry, fostering global partnerships to address technological challenges. Key initiatives include bio-inspired robotic systems, antimicrobial surface sanitizers, and energy-efficient photodetectors. Walia serves on editorial boards for journals like IEEE Transactions on Materials for Electron Devices and reviews for high-impact outlets such as Nature Communications and Advanced Materials . His research portfolio spans cutting-edge topics like neuromorphic vision systems, flexible optoelectronics, and sustainable manufacturing. Walia's contributions to inclusive science and technology policy are complemented by leadership in professional organizations, including the Australian Academy of Technology and Engineering. Current projects include AI-driven biomarker detection, microbial recycling systems, and advanced photonic sensors for IoT applications.

Yunlong Zhaoمشاهده پروفایل

دانشیار

• Electrochemical Energy Storage
• Bioelectronics
• Electrochemical Sensors
• +۴ مورد دیگر

Dr. Yunlong Zhao is an Associate Professor at the Dyson School of Design Engineering, Imperial College London, and holds a joint appointment as Senior Scientist at the UK National Physical Laboratory (NPL). He leads the Electrochemical and Bioelectronic Interface Group, focusing on advanced energy storage, bioelectronics, and 3D soft systems. PhD from Harvard University (Chemistry and Chemical Biology) Undergraduate and postgraduate training at Wuhan University of Technology His research addresses key challenges in electrochemical and biomedical systems through device engineering. Key interests include: On-chip and implantable devices for electrophysiological interrogation Advanced electrochemical energy storage for sustainability Wearable and implantable bioelectronics for healthcare 3D soft systems integrating micro-power sources Recent publications highlight innovations in potassium-ion capacitors, Li-CO 2 batteries, and bioelectronic sensors. His work appears in top journals including Nature, Nature Nanotechnology, and Energy & Environmental Science. Scientific awards include: Second-Class Prize of the State Natural Science Award Wiley-VCH Rising Stars Top 5 Finalist for the USERN Prize He advises PhD students and postdoctoral researchers across multidisciplinary projects involving materials science, electrochemistry, and biomedical engineering. His group collaborates with the Centre for Processable Electronics and NPL’s Electronic and Magnetic Materials Group.

Miguel Jimenezمشاهده پروفایل

استادیار

• Microbial devices
• Bioelectronic devices
• Synthetic biology
• +۱۱ مورد دیگر

Miguel Jimenez, Ph.D., is an Assistant Professor in Biomedical Engineering at Boston University, with a joint appointment in Materials Science & Engineering. His research focuses on integrating living microorganisms into electronic and mechanical devices to create novel biosensors, bioactuators, and therapeutic platforms. He leads the Microbial Integration Group, exploring applications in healthcare, food security, and space exploration. Education: A.B., Chemistry and Chemical Biology, Harvard University Ph.D., Chemistry, Columbia University Research Interests: Jimenez develops microbial devices for diagnostics, therapeutics, and environmental monitoring. His work emphasizes synthetic biology, biomaterials, nanotechnology, and systems engineering. Key areas include in situ directed evolution, countermeasures for space travel, and smart probiotics for inflammatory bowel disease (IBD). Awards : 2022: Broad Institute’s Next Generation in Biomedicine 2019: NASA TRISH Postdoctoral Fellowship 2017: Academy of Bioastronautics Fellowship 2013: NSF Graduate Research Fellowship Labs & Affiliations : Jimenez collaborates across Boston University’s Biological Design Center, Nanotechnology Innovation Center (BUnano), and the Molecular Biology, Cell Biology, & Biochemistry program. His work bridges engineering, biology, and medicine to address global challenges in healthcare and sustainability.

• Biomedical Engineering
• Wearable Technology
• Machine Learning
• +۳ مورد دیگر

Dr. Chakaveh Ahmadizadeh is a Lecturer at the Department of Health Sciences and Technology, ETH Zürich. Her research focuses on biomedical and mobile health technology, particularly in wearable sensing systems for physiological and movement monitoring. Position: Lecturer Institution: ETH Zürich Research Interests: Wearable sensors, machine learning for health, smart textiles, physiological signal processing Recent work highlights include: Textile-based capacitive strain sensors for robust hand gesture recognition Multi-plane knee angle monitoring systems Machine learning integration for FMG signal analysis Passive wireless textile sensors for movement tracking Sweat resistance testing for wearable health applications