جستجوی استاد راهنمای دانشگاهی

Jayakrishnan M. Purushothamaمشاهده پروفایل

استادیار

• Microwave Engineering
• Antenna Design
• Chipless RFID
• +۵ مورد دیگر

Jayakrishnan M. Purushothama is an Assistant Professor in the Microwave and Antenna Engineering Research Group at Heriot-Watt University's School of Engineering and Physical Sciences since March 2023. Previously, he held roles including Post-Doctoral Researcher (2019–2021) and Ph.D. scholar (2016–2019) at Université Grenoble Alpes, and Research Fellow (2014–2016) at Cochin University of Science and Technology. Education: B.Sc. (Electronics) & M.Sc. (Electronics Science), Mahatma Gandhi University & Cochin University of Science and Technology (2012–2014), both with first rank honours. Ph.D. (RF and Microwave Electronics Engineering), Université Grenoble Alpes (2019). Research interests focus on microwave antennas, beamforming, chipless RFID systems, CBRAM-based RF switches, medical biosensors, and electromagnetic compatibility. His work emphasizes reconfigurable systems, energy efficiency, and non-volatile memory applications in passive devices. Awards include the URSI Young Scientist Award (2020), 4th Prize in URSI Student Competition (2018), and UGC NET/JRF qualification (top 0.6% in 2013). Grants include ERC-funded ScattererID project (2019–2021) developing CBRAM-based RF switches. His lab explores innovations in antenna engineering, RF materials, and wearable electronics. Key contributions include reconfigurable antennas, low-cost RFID tags, and metamaterial-based shielding solutions.

Robert A Wellerمشاهده پروفایل

استاد پژوهش

• Radiation Effects in Semiconductors
• Computer Simulation of Radiation Effects
• Ion Beam Analysis
• +۴ مورد دیگر

Robert A Weller is a Research Professor of Electrical Engineering at Vanderbilt University's School of Engineering, with Emeritus titles in Physics and Materials Science. His research focuses on radiation effects in semiconductors, simulation of radiation interactions, and ion-beam analytical techniques. He developed the MRED simulation tool, revolutionizing single-event effect studies. Weller holds a Ph.D. in Physics from Caltech and a B.S. in Engineering Physics from the University of Tennessee. His career spans over 40 years, including roles at Yale University and collaborations with institutions like Sandia National Laboratories. He has authored over 240 publications and pioneered advancements in radiation-hardened electronics, earning the R&D 100 Award (2001) and multiple conference accolades. His work bridges astrophysics, materials science, and engineering, addressing challenges in space electronics and semiconductor reliability. Education: Ph.D., Physics, Caltech (1978); B.S., Engineering Physics, University of Tennessee (Undergraduate) Key Contributions: Ion-induced electron emission microscope (R&D 100 Award), MRED simulation code Awards: IEEE Senior Member, APS Fellow, Outstanding Conference Paper Awards (2007, 2013) Weller's research extends to gravitational wave detection and space radiation monitoring via missions like RadFxSat-2. He actively contributes to interdisciplinary initiatives in radiation effects and reliability, emphasizing both theoretical and applied advancements.

• Phase Change Memory
• Neuromorphic Computing
• Very Large Scale Integration
• +۴ مورد دیگر

Houpeng Chen is a Research Professor at the Chinese Academy of Sciences, specifically affiliated with the School of Microsystem and Information Technology in the Department of Microelectronics. With over two decades of research experience since the early 2000s, Chen has established himself as a leading expert in memory systems and circuit design, particularly in the areas of Phase Change Memory and neuromorphic computing. Chen's research primarily focuses on advanced memory technologies, with particular emphasis on Phase Change Memory (PCM) systems, neuromorphic computing architectures, and analog circuit design for memory applications. His work spans from fundamental circuit design for memory systems to advanced computing architectures that leverage novel memory technologies. A significant portion of his recent work explores in-memory computing paradigms and brain-inspired computing systems, demonstrating a strategic shift toward next-generation computing architectures that address the limitations of traditional von Neumann systems. Analysis of Chen's publication record shows a clear evolution from traditional circuit design toward more innovative memory-based computing architectures. His recent work demonstrates strong expertise in 3D cross-point memory systems, in-memory computing, and neuromorphic hardware implementations. The research shows consistent quality with publications in top-tier IEEE journals and conferences, indicating strong recognition within the semiconductor and memory research community. As evidenced by the authorship patterns in his publications, Chen has successfully mentored numerous graduate students and junior researchers who have gone on to become first authors on significant publications. His collaborative network includes extensive work with Zhitang Song, Qian Wang, and Xi Li, suggesting a well-established research group with strong internal collaboration.

• Biosensors
• Nanotechnology
• Materials Science
• +۴ مورد دیگر

Prof. Vivek Pachauri holds the Chair of Materials for Electrical Engineering I at RWTH Aachen University, leading research at the Institute of Materials for Electrical Engineering. His work bridges materials science and bioelectronics, focusing on graphene-based transducers, silicon nanowires, and metal-organic frameworks (MOFs) for biosensing applications. University: RWTH Aachen University (Germany) Department: Materials for Electrical Engineering Academic Rank: Professor Email: pachauri@iwe1.rwth-aachen.de His research spans nanoscale sensor development , microfluidic platforms , and bioelectronic systems , with applications in disease detection, environmental monitoring, and cellular analysis. Recent work highlights programmable molecular amplification and multi-parametric point-of-care diagnostics. Key trends in his publications include: Advanced 2D materials (graphene oxide, MoS 2 ) Metal-organic frameworks for fluorescence sensing Microfluidic integration of biosensors Plasmonic and Fano resonance-based detection Low-cost cellular assays using organic electronics

Aron Woldeghiorgisمشاهده پروفایل

مدرس ارشد

• Micro-Electro-Mechanical Systems (MEMS)
• Micro-Opto-Electro-Mechanical Systems (MOEMS)
• Silicon-based Micro/Nano Fabrication
• +۷ مورد دیگر

Associate Professor Aron Woldeghiorgis is a Senior Lecturer at the School of Electrical Engineering and Telecommunications, University of New South Wales (UNSW), with a PhD in Electrical Engineering from UNSW. His research focuses on Micro-Electro-Mechanical Systems (MEMS) and Micro-Opto-Electro-Mechanical Systems (MOEMS), including silicon-based fabrication techniques, piezoelectric actuation, CMOS-MEMS integration, and flexible sensors. He has published over 90 scientific works and led innovations in on-chip atomic force microscopy, optical interconnects, and LiDAR technology for autonomous vehicles. B.E. (Hons) in Electrical Engineering, Addis Ababa University (AAU) MEngSc in Electronics and Communication, UNSW PhD in Electrical Engineering, UNSW His research interests span Nano/Micro electro-mechanical systems (N/MEMS) for optical switching, silicon photonics, and carbon nanofibers in flexible sensors. Recent articles highlight advancements in electrothermal actuators, low-thermal-budget silicon films, and piezoelectric micro-lens systems. He has secured grants like the 2021 ARC LIEF ($527K) for maskless lithography and 2018 Innovation Connect Grant ($120K) for MEMS tunable diffraction grating. Awards include the 2010 UNSW Inventor of the Year Award for '3D-Optical Interconnect.' He supervises four PhD students and teaches courses in Integrated Circuit Technology and Microsystems . Collaborations include industry partnerships with Baraja Pty Ltd and Sensornomics, along with academic roles in technical committees for APCOT and Transducers conferences.

Mohammed Niamatمشاهده پروفایل

استاد

• Hardware Security
• FPGA Design
• Quantum-Dot Cellular Automata (QCA)
• +۴ مورد دیگر

Dr. Mohammed Niamat is a Professor in the Department of Electrical Engineering and Computer Science at the University of Toledo, part of the College of Engineering. His research focuses on hardware security, FPGA design, quantum-dot cellular automata (QCA), cryptography, and smart grid infrastructure. He holds a primary appointment at the University of Toledo, with contact details at 2008 Nitschke Hall. Research interests include Built-in-Self Test (BIST), fault-tolerant hardware, secure FPGA supply chains, and role-based access control. His work emphasizes securing advanced metering infrastructure (AMI) and IoT systems through hardware-oriented authentication and PUF (Physical Unclonable Function) techniques. Key publication trends highlight advancements in FPGA security, machine learning countermeasures against PUF attacks, and blockchain-integrated frameworks for hardware trustworthiness. Recent projects address vulnerabilities in ring oscillator PUFs and lightweight cryptographic solutions for IoT. Dr. Niamat has contributed to over 40 publications since 1986, spanning topics from power system stabilizers to nanoscale QCA logic synthesis. His work bridges theoretical computing and practical applications in high-performance systems.

Shamim Ara Shawkatمشاهده پروفایل

استادیار

• Mixed-signal VLSI Circuit Design
• Optical Detectors for Quantum Computing
• Neuromorphic Computing Hardware
• +۴ مورد دیگر

Dr. Shamim Ara Shawkat is an Assistant Professor in the Department of Electrical and Computer Engineering at Florida International University (FIU), part of the College of Engineering and Computing. She holds a Ph.D. in Electrical Engineering from the University of Tennessee Knoxville (2019), an M.Sc. in Telecommunications from Waseda University (2006), and a B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (2002). Prior to FIU, she served as a Post-Doctoral Research Associate at the University of Tennessee and as faculty at BUET for four years. Her research focuses on mixed-signal VLSI circuits, neuromorphic computing hardware, bio-sensor design for lab-on-chip systems, optical detectors in quantum computing, and SoC design. Notable contributions include work on perimeter-gated single-photon avalanche diodes (SPADs) for quantum imaging and biomedical applications. Her publications span over 40 peer-reviewed articles in journals like IEEE Transactions and MDPI Applied Sciences. Education: Ph.D., Electrical Engineering, University of Tennessee, 2019 M.Sc., Telecommunications, Waseda University, 2006 B.Sc., Electrical & Electronic Engineering, BUET, 2002 Awards: Chancellor Citation Award (University of Tennessee, 2017–2019) Chancellor Fellowship (2015–2019) Her work bridges cutting-edge semiconductor devices and biomedical applications, with recent advancements in neuromorphic systems and SPAD-based detectors. Collaborative projects include developing energy-efficient LiDAR sensors and AI-driven SPAD modeling techniques.

Aida Todri-Sanialمشاهده پروفایل

استاد

• Energy-Efficient Circuits
• Quantum Computing
• Neuromorphic Computing
• +۴ مورد دیگر

Aida Todri-Sanial is a Full Professor in the Integrated Circuits group of the Electrical Engineering department at Eindhoven University of Technology (TU/e). She leads the NanoComputing Research Lab and is affiliated with the Center for Quantum Materials and Technology Eindhoven (CQMT-E), EAISI, and the Integrated Circuits group. Her research focuses on energy-efficient circuits, novel computing paradigms (e.g., 3D integration, neuromorphic computing, quantum computing), and nanotechnology-driven architectures. Education: PhD in Electrical and Computer Engineering, University of California Santa Barbara (2009) Bardeen Fellow at Fermi National Accelerator Laboratory (2009–2010) Scientist/Research Director at CNRS (2011–2021) Visiting Fellow at the University of Cambridge (2016–2017) Research Interests: Dr. Todri-Sanial’s work integrates physics and electronics to design unconventional computing systems. Key areas include: Physical design optimization for energy efficiency Oscillatory neural networks (ONNs) for edge AI Quantum computing hardware and error mitigation 3D integration and monolithic-3D architectures Nanomaterials (e.g., VO₂, MoS₂) for neuromorphic and sensing applications Awards & Grants: ERC Consolidator Grant THERMODON (2023) NWO AiNed Fellowship (2024) NWO Quantum Technology Grant (2024) CNRS Bronze Medal (2016), IBM Quantum Open Science Prize (2021), and IEEE Distinguished Lecturer (2022) Labs & Teams: Principal Investigator of the NanoComputing Research Lab Lead researcher in EAISI (Eindhoven Artificial Intelligence Systems Institute) Collaborator with global institutions (e.g., IBM, STMicroelectronics)

• Computer Architecture
• VLSI Design
• Hardware Security
• +۳ مورد دیگر

Dr Tomasz Kazmierski is an Associate Professor in the Department of Electronics and Electrical Engineering at the University of Southampton. His research focuses on hardware security, VLSI design, and energy-efficient computing. He leads projects such as the EPSRC-funded 'Next Generation Energy-Harvesting Electronics' and 'Event-based parallel computing (POETS)'. Current Projects: Event-based parallel computing (EPSRC) Next Generation Energy-Harvesting Electronics (EPSRC) Supervision: PhD students Peiyao Sun, Xuan Ji, and Haosen Yu Research Interests: Hardware Security & Trojan Resilience Approximate Computing Ultra-Low Power Circuits Neural Network Accelerators Recent work emphasizes secure design of neural network hardware, optimization of VLSI interconnects, and aging-aware circuit techniques. His publications span conferences like IEEE ISCAS and IEEE AsianHOST, addressing topics from fault-tolerant signal processing to energy-harvesting systems.

• Materials Physics
• Nanotechnology
• Semiconductors
• +۵ مورد دیگر

Hakan Karaağaç is a Professor in the Department of Physics Engineering at Istanbul Technical University's Faculty of Science and Letters. With a distinguished career spanning over a decade at ITU, he progressed from Lecturer (2013-2014) to Assistant Professor (2014), Associate Professor (2014), and ultimately to his current position as Professor. His academic journey includes post-doctoral research at the University of California, Davis (2011-2012), a doctorate from Middle East Technical University (2005-2010), a master's degree from the same institution (2003-2005), and undergraduate studies at Çukurova University (1998-2003). Dr. Karaağaç's research focuses on advanced materials for energy applications, particularly in the areas of Materials Physics , Nanotechnology , and Semiconductors . His work centers on thin film technology, solar cell development, and nanowire applications, with special emphasis on ZnO nanostructures, Cu 2 ZnSnS 4 materials, and graphene-based transparent conductive layers. His fingerprint analysis reveals strong expertise in Thin Films (100%), Solar Cells (76%), Nanowires (65%), and ZnO (48%), among other related fields. The publication trends in Dr. Karaağaç's work demonstrate a clear progression toward increasingly sophisticated solar energy technologies. His most recent articles (2023-2025) focus on cutting-edge applications of nanomaterials in photovoltaics, including selective synthesis of ZnO nanorods on graphene and exploration of graphene's potential in Cu 2 ZnSnS 4 solar cells. Earlier works established foundational research in nanowire photodetection and characterization of thin film materials, showing a consistent trajectory toward solving practical challenges in renewable energy conversion. Dr. Karaağaç has successfully led multiple significant research projects: Fabrication and Characterization of SnS Thin Films for ZnO Nanorods-Based SnS Solar Cells (2024-2025, BAP) Fabrication of Regularly Structured and Passivated ZnO Nanowire-Based Czts Semi-Conductive Solar Cells on Graphene Layers (2021-2024, TUBITAK) Production of Low-Cost and High-Efficiency Transferable Cu 2 ZnSnS 4 -Based 3rd Generation Solar Cells (2017-2019, TUBITAK) Production of ZnO Nanowire-Based 3rd Generation Inorganic Solar Cells (2015-2021, BAP) With an h-index of 16 and 576 citations according to Scopus, his research has made substantial contributions to the fields of materials science and renewable energy. His work continues to evolve with current projects focusing on next-generation solar cell technologies that address efficiency and cost challenges in photovoltaic systems.

Nikhil Shuklaمشاهده پروفایل

دانشیار

• Emerging Devices and Circuits
• Energy-Efficient Computing
• Ferroelectric Materials
• +۵ مورد دیگر

Nikhil Shukla is an Associate Professor at the University of Virginia with a joint appointment in Electrical and Computer Engineering and Materials Science and Engineering. His work bridges emerging hardware technologies with computational paradigms for energy-efficient systems. Education: Ph.D. in Electrical Engineering (University of Notre Dame, 2017), BS in Electronics and Telecommunications (University of Mumbai, 2010) His research focuses on emerging solid-state devices for non-Boolean computing, energy-efficient data storage , and integration of novel materials to redefine computing architectures. Key efforts include co-designing devices, circuits, and system-level solutions for Ising machines and dynamical systems solving combinatorial optimization problems. The 15 most recent articles highlight trends in oscillator-based Ising machines for optimization, ferroelectric and phase-transition materials, and hardware acceleration for NP-hard problems like Max-Cut and MaxSAT. Topics span from device physics (e.g., hafnium oxide endurance) to circuit-level implementations (FPGA accelerators, CMOS-compatible designs). Scientific Awards: IEEE TMSCS Best Paper Award (2017), STARnet LEAST Center Best Publication Awards (2015–2017), J.N. TATA and J.R.D TATA Scholarships (2011) Shukla's work at the Computing Hardware Research Lab emphasizes cross-disciplinary approaches, leveraging synchronized oscillators and correlated materials to push beyond CMOS-era limitations.

Lihong Zhangمشاهده پروفایل

استاد

• VLSI Design Automation
• MEMS Design and Optimization
• Analog and Mixed-Signal Circuit Design
• +۷ مورد دیگر

Dr. Lihong Zhang is a Full Professor in the Department of Electrical and Computer Engineering at Memorial University of Newfoundland. He holds a PhD in Electrical Engineering from Otto-von-Guericke University (Germany) and has held post-doctoral positions at Concordia University, Dalhousie University, and the University of Washington. His research focuses on VLSI design automation, analog/mixed-signal circuits, MEMS, energy harvesting, and biomedical instrumentation. Dr. Zhang leads the CADLAMS lab, supported by NSERC, CFI, and industry partners. Education: B.E. (H.U.S.T. Wuhan), M.Sc. (Eng.) (H.U.S.T. Wuhan), Ph.D. (Otto-von-Guericke University, Germany). Research Interests: VLSI design automation, MEMS design, renewable energy harvesting, microfluidics, wireless sensor networks, and EDA tools. His work addresses challenges in nanometer-scale technologies, including layout-dependent effects and manufacturability. Awards: 2008 CFI Leaders Opportunity Fund, 2016 Memorial University Research Excellence Award. Grants include funding from NSERC, CFI, and industry collaborations. Students and Collaborations: Supervises over 50 graduate students and collaborates with industry partners like Cadence, Synopsys, and IBM. Active in editorial roles for IEEE journals and conference organization. Lab Infrastructure: CADLAMS lab includes advanced computing resources, EDA software, and lab equipment for circuit prototyping and testing.

Saeideh Shirinzadehمشاهده پروفایل

پژوهشگر

• Microelectronics
• Computer Architecture
• Hardware Systems
• +۳ مورد دیگر

Dr. Saeideh Shirinzadeh is a Researcher at the Department of Emerging Technologies, Fraunhofer Institute for Systems and Innovation Research ISI. She holds a PhD (summa cum laude) in Computer Science from the University of Bremen, Germany (2018), and prior to her current role, she was a post-doctoral researcher at DFKI Bremen. Her work focuses on emerging microelectronics technologies, particularly in-memory computing architectures and non-volatile memory systems. Education: BSc/MSc (Electrical Engineering, University of Guilan, Iran), PhD (Computer Science, University of Bremen) Her research interests center on optimizing hardware systems using novel memory technologies, with applications in VLSI design, IoT, and energy-efficient computing. She has contributed to projects like FRAME (FMD innovation support) and the Graphene Flagship roadmap. Her publications span topics like logic synthesis for RRAM-based systems, endurance management in resistive memories, and PLiM architectures for IoT. She has received academic recognition including the summa cum laude distinction for her doctoral thesis. Current work involves analyzing technological trends in microelectronics and supporting innovation strategies for industrial applications.

Giorgio Cristianoمشاهده پروفایل

پژوهشگر

• Circuit Design
• Low-Power Electronics
• Biomedical Electronics
• +۶ مورد دیگر

Giorgio Cristiano is a Post-Doctoral Researcher at ETH Zürich in the Department of Information Technology and Electrical Engineering , affiliated with the Integrated Systems Laboratory . His work focuses on advanced circuit design for Internet of Things (IoT) applications and In-Memory Computing , with a strong emphasis on low-power and CMOS-compatible solutions. His research spans key areas such as: Temperature-stable RC oscillators for IoT nodes High-efficiency DC-DC converters using electromagnetically coupled oscillators Neural recording interface circuits with miniaturized resistors MEMS oscillators for ultra-low power consumption The trends in his publications highlight innovations in energy efficiency (e.g., 1.5pJ/Cycle oscillators), noise reduction (0.4 NEF amplifiers), and biomedical electronics integration. His work often addresses miniaturization and power optimization for wearable and implantable devices. Key institutions involved in his research include: ETH Zürich (primary affiliation) Integrated Systems Laboratory (research group) Collaborations with experts in biomedical engineering and neural networks

Jamie Marlandمشاهده پروفایل

مدرس

• Bioelectronics
• Microfabrication
• Biosensors
• +۴ مورد دیگر

Dr. Jamie Marland serves as a Lecturer in Microelectronics within the Department of Electronics and Electrical Engineering at the University of Edinburgh's School of Engineering. She is affiliated with the Institute for Integrated Micro and Nano Systems (IMNS) and leads a research group developing miniature bioelectronic interfaces for synthetic biology and biomedical engineering applications, including an implantable oxygen sensor currently undergoing clinical translation with NHS partners. Her academic qualifications include: MSc in Sensor and Imaging Systems, University of Glasgow, 2016 (Distinction & Class Prize) PhD in Clinical Neurosciences, University of Cambridge, 2011 BA in Natural Sciences, University of Cambridge, 2005 Dr. Marland's research program focuses on microfabricated electrochemical sensors for medical applications, particularly oxygen sensors for tumor hypoxia monitoring in radiotherapy and post-operative tissue assessment. Her group develops electrochemical platforms enabling multi-channel data readouts from cell-free synthetic biological systems, with strong emphasis on in vivo validation and clinical translation. Current projects address vascular graft monitoring through impedance spectroscopy and stent complication prediction using self-reporting biosensors. Analysis of her 15 most recent publications (2020-2024) reveals consistent innovation in CMOS-compatible sensor microfabrication, with dominant applications in cancer therapy monitoring (tumor hypoxia), cardiovascular disease management (stent/graft monitoring), and surgical complication detection (anastomotic leakage). The work demonstrates interdisciplinary integration of microelectronics, electrochemistry, and clinical medicine through rigorous in vivo testing and sensor packaging solutions. Scientific recognition includes: WCSIM Beloe Fellowship (2018) Dr. Marland actively supervises MSc Electronics and Sensor projects while teaching Microelectronics 2 and Analogue Mixed Signal Laboratory courses. She currently leads multiple research initiatives including the ESRC-funded "AI Images of Care?" project (2024-2025), British Council's Going Global Partnership (2024), and collaborates on EPSRC and Wellcome Trust grants advancing biosensor translation. Her teaching extends to guest lecturing for international summer schools with Beihang University and UNC. Based at the Scottish Microelectronics Centre (G.08), her IMNS research group maintains strong clinical collaborations through the Centre for Engineering Biology, focusing on next-generation bioelectronic interfaces that bridge synthetic biology with practical healthcare solutions for precision medicine applications.