جست‌وجوی استاد و پژوهشگر

Andrew Westمشاهده پروفایل

پژوهشگر

• Robotics
• Nuclear Engineering
• Radiation Detection
• +۳ مورد دیگر

Andrew West is a researcher affiliated with the University of Manchester, contributing to the Dalton Nuclear Institute. His work focuses on advancing robotics and autonomous systems for nuclear environments, particularly in radiation detection, mobile robot navigation, and hazardous environment exploration. Key areas include radiation mapping, sensor integration, and risk assessment in nuclear facilities. He has developed specialized robots like CARMA II and Vega for nuclear surveying and decommissioning tasks. Collaborations span international institutions such as JSI and LUNL, with datasets publicly available via Figshare. His research aligns with UN Sustainable Development Goals related to sustainable energy and industry innovation. Education: Background in robotics and nuclear engineering, though specific degrees are not detailed in the text. Research interests emphasize the practical application of robotics in nuclear decommissioning, including real-time radiation avoidance, sensor fusion, and multi-robot ecosystems. His work bridges theoretical modeling (e.g., Gaussian process regression) with practical field deployments, ensuring robots can safely operate in high-risk environments. Publications highlight advancements in radiation localization, sensor calibration (e.g., angular responses), and safety protocols for autonomous systems. The top-cited works focus on multimodal sensing and digital twin platforms for nuclear robot fleets, showcasing industry-academia partnerships. Grants & Projects: Contributions to projects like TORONE (Total Characterisation of Nuclear Environments) and the development of open-source platforms like Mona robot. West’s lab focuses on creating affordable, robust robotic solutions for nuclear challenges, with datasets publicly accessible to foster collaborative research.

Cagliyan Kurdakمشاهده پروفایل

استاد

• Experimental Condensed Matter Physics
• Mesoscopic Physics
• Quantum Dots
• +۳ مورد دیگر

Professor Cagliyan Kurdak is a faculty member at the University of Michigan in the Department of Physics . Holding a Ph.D. from Princeton University (1995) and a B.S. from Middle East Technical University (1988), he specializes in Experimental Condensed Matter Physics and Mesoscopic Physics . Research focuses on quantum effects in low-dimensional systems (2D electron gases, topological insulators) at cryogenic temperatures Expertise in semiconductor quantum dots, nanoscale fabrication, and electron beam lithography Key collaborations with Physics Randall Lab and Homer A. Neal Lab teams His work bridges fundamental quantum phenomena and applied sensor technologies, evidenced by 13 publications from 2010-2013 covering topics like: Quantum oscillations in Kondo insulators Hot-spot detection in thermal probes Chemiresistor arrays for micro-gas chromatography Stress-testing GaN heterostructures Scientific Recognition: Alfred P. Sloan Research Fellow Contact Information: Email: kurdak@umich.edu Office: 267D West Hall Laboratory: SB206 Homer A. Neal Lab

Lloyd W Massengillمشاهده پروفایل

استاد

• Radiation-Hardened Circuits
• Microelectronics
• Analog Circuit Design
• +۳ مورد دیگر

Lloyd W. Massengill is a Professor of Electrical and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on radiation-hardened circuit design, simulation of radiation effects on microelectronics, soft error analysis, and analog circuit design. He holds a Ph.D., M.S., and B.S. in Electrical Engineering from North Carolina State University. Dr. Massengill's work addresses critical challenges in semiconductor reliability under ionizing radiation, including total ionizing dose (TID) effects, single-event upsets (SEUs), and transient analysis in advanced FinFET technologies. His contributions span radiation-hardened analog-to-digital converters, mitigation techniques for soft errors, and advanced node radiation testing methodologies. His scientific achievements include receiving the Outstanding Conference Paper Award at the 2024 IEEE Nuclear and Space Radiation Effects Conference and the 2014 counterpart. His research has been published in over 50 peer-reviewed articles, emphasizing radiation effects in nanoscale circuits and space electronics. Notable projects include CubeSat-based real-time soft error measurements in low Earth orbits and the RadFxSat flight campaign for characterizing commercial electronics in space. His work bridges semiconductor physics with practical applications in aerospace and high-reliability systems. His educational background includes degrees from North Carolina State University, demonstrating a deep technical foundation in electrical engineering. While no specific grants or advising details are listed here, his prolific publication record underscores his leadership in radiation effects research.

• Electric Machines
• Power Electronics
• Sensorless Control
• +۳ مورد دیگر

Paolo Guglielmi is a Full Professor at the Department of Energy (DENERG) of the Polytechnic University of Turin. His research focuses on electric machines, power electronics, sensorless control, and wireless power transfer, with an emphasis on sustainable energy systems and electric vehicle technologies. He is a member of the Interdepartmental Center PEIC (Power Electronics Innovation Center) and has held visiting researcher roles at institutions like École Nationale Supérieure d'Électronique (ENSEEIHT), France. Teaching: Courses in electrical engineering, electric vehicles, and machine design at undergraduate and graduate levels. Research Projects: Leads initiatives like NODES (Industry 4.0 for Sustainable Mobility) and COOL-X (Integrated Electric Drive Cooling), funded by PNRR Mission 4 and EU H2020 programs. Awards: Recipient of IEEE Industrial Power Conversion Systems Department Paper Prize (2010) and IDC Prize Paper (2011). Patents: Holder of patents including '3D Power Conversion' and 'Integrated Electric Drive with Cooling Device'. His work integrates power electronics with electromechanical systems to develop compact, reliable, and cost-effective solutions for electric drives and energy conversion, with applications in sustainable mobility and aerospace.

Behrooz Bahraniمشاهده پروفایل

استاد

• Power Electronics
• Grid Integration of Renewable Energy
• Inverter-Based Resources (IBRs)
• +۴ مورد دیگر

Professor Behrooz Bahrani is a faculty member in the Department of Electrical and Computer Systems Engineering at Monash University, leading the Grid Innovation Hub. His research focuses on integrating renewable energy into power grids, addressing challenges posed by high penetration of inverter-based resources (IBRs). He holds a PhD from EPFL (Switzerland) and has held postdoctoral positions at global institutions. His expertise includes power electronics control, grid stability, and electric vehicles. Education: B.Sc. (Electrical Engineering, Sharif University of Technology), M.Sc. (University of Toronto), PhD (EPFL). Awards include Swiss National Science Foundation Postdoc.Mobility Fellowships (2013–2014). Research emphasizes mitigating climate change through renewable energy integration, with projects on grid-forming inverters, system strength assessment, and synchronous condenser planning. Collaborations with industry (e.g., AEMO) ensure practical impact. He actively teaches and mentors postgraduate students, fostering next-generation engineers in power systems innovation. Labs/Teams: Director of Monash’s Grid Innovation Hub, collaborating on global initiatives like the EPICS project for carbon-free energy systems. Current projects include electrolyser technology for grid stability and power system transformation research.

Masoumeh Ebrahimiمشاهده پروفایل

دانشیار

• Computer Architecture
• Machine Learning
• Embedded Systems
• +۶ مورد دیگر

Masoumeh Ebrahimi is an Associate Professor at KTH Royal Institute of Technology, Division of Electronics and Embedded Systems, and holds an Adjunct Professor position at the University of Turku, Finland. She leads research in hardware acceleration, neural architecture search, and fault-tolerant systems. Her work bridges machine learning, embedded systems, and network-on-chip (NoC) design. Research Interests: Hardware-Accelerated Machine Learning 6G Network Architectures Fault-Tolerant Computing High-Performance GPU Systems Network-on-Chip (NoC) Design Federated Learning Key Projects: Co-supervisor of Hui Chen’s postdoc project Generalizing hardware acceleration for nonlinear functions . Active in Digital Futures, a cross-disciplinary center focusing on societal challenges using digital tech. Collaborates on edge computing, 6G networks, and resilient embedded systems. Labs & Teams: Core member of KTH’s Digital Futures initiative, advancing AI accelerators and next-gen communication systems. Engaged in EU-funded projects on NoC reliability and federated learning frameworks.

Salah Bedairمشاهده پروفایل

استاد

• Semiconductor Materials
• Optoelectronic Devices
• Atomic Layer Epitaxy
• +۵ مورد دیگر

Salah Bedair is a Distinguished Professor in the Department of Electrical and Computer Engineering at North Carolina State University. His research focuses on semiconductor materials and devices, including atomic layer epitaxy, laser-assisted deposition, and chemical vapor deposition. He leads investigations into optical and microwave devices such as detectors, solar cells, and light-emitting diodes (LEDs). Bedair holds a Ph.D. in Engineering Science from the University of California, Berkeley, and has authored over 200 publications. His work emphasizes optimizing InGaN templates to overcome challenges in LED efficiency and spectral range extension. Bedair’s awards include the Alexander Quarles Holladay Medal for Excellence (2015), NC State Alumni Distinguished Graduate Professorship (1998), and IEEE Fellow (1992). His research has been highlighted in media for innovations in high-efficiency solar cells and LED technologies. Recent projects involve developing tunnel junctions with negative differential resistance and improving quantum well structures for broader applications in optoelectronics.

John Bowersمشاهده پروفایل

استاد

• Silicon Photonics
• Optical Networks
• Quantum Optoelectronics
• +۳ مورد دیگر

John Bowers is the Fred Kavli Distinguished Professor at the University of California, Santa Barbara, holding joint appointments in Technology Management, Materials, and Electrical and Computer Engineering. He leads the Institute for Energy Efficiency and is affiliated with the Technology Management program. His research focuses on energy-efficient optoelectronics, silicon photonics, and integrated quantum devices, with a strong emphasis on bridging academic research and industrial applications. Bowers has founded multiple companies, including Terabit Technology, Aerius Photonics, and Aurrion, demonstrating significant entrepreneurial impact in the photonics sector. Education and Background: Prior to UCSB (1987), he worked at AT&T Bell Laboratories on semiconductor lasers and photodetectors. His academic credentials include a PhD in Technology Management, though specific degree details are not explicitly stated in the provided texts. Research Interests: Bowers' work spans silicon photonic integrated circuits, quantum dot lasers, high-speed optical networks, and nonlinear optics. His recent advancements include soliton microcombs, wafer-scale III-V photonics, and radiation-resilient laser technologies. He actively explores applications in quantum networking, low-power data centers, and sensor systems. Awards and Recognition: The Fred Kavli Distinguished Professor title highlights his scholarly contributions. His work has been recognized through industry partnerships with Intel, NIST, and other leading institutions. Grants and Advising: As a leader in energy efficiency and photonic integration, Bowers has secured extensive funding for his research. His advisement includes guiding interdisciplinary teams across multiple departments, though specific student names are not listed in the provided data. He collaborates with global partners in foundries and national labs to advance manufacturing processes for photonics. Labs and Teams: Directs the Institute for Energy Efficiency and coordinates with the Technology Management program. His research group works closely with industry to develop scalable photonic solutions, emphasizing practical deployment alongside theoretical innovation.

Bisma Manzoorمشاهده پروفایل

پژوهشگر ارشد

• Wireless Communication
• Satellite Communication
• IoT Technologies
• +۳ مورد دیگر

Dr. Bisma Manzoor is a Research Fellow (Postdoctoral) in the School of Engineering at RMIT University, specializing in wireless communication, satellite systems, and IoT technologies. She holds a PhD from RMIT (2021) and has dual experience in academia and industry, including a role as a Digital Signal Processing Engineer at Fleet Space Technologies. Her research focuses on enhancing IoT connectivity via satellite networks and machine learning applications in spectrum sensing. She has taught advanced engineering courses like Network Engineering and Research Methods, receiving awards for both teaching and research excellence. Research interests include satellite communication, signal processing, and energy-efficient IoT systems. She contributes to UN Sustainable Development Goals related to sustainable cities, industry innovation, and gender equality. Currently supervising projects on microwave vacuum electron devices, nanoscale electronics for satellites, and next-generation mega satellite networks.

Roana de Oliveira Hansenمشاهده پروفایل

دانشیار

• Nanotechnology
• Gas Sensors
• Microcantilevers
• +۹ مورد دیگر

Roana de Oliveira Hansen is an Associate Professor at the Faculty of Engineering, University of Southern Denmark, affiliated with the Mads Clausen Institute (MCI), SDU NanoSyd VIP, and SDU Climate Cluster. Her research focuses on nanotechnology-driven sensor systems for food quality assessment and environmental monitoring. PhD in Nanotechnology ORCID: 0000-0001-5694-2820 Phone: +4565501649 Her research spans sensor design (microcantilevers, nanofibers, MEMS), electronic nose development, and machine learning integration for real-time freshness monitoring in food products. Key projects include PRECISE (sustainable meat production), TeleScent (remote scent transmission), and CO2 removal technologies. Recent publications analyze nonlinear dynamics in gas sensors and surface treatment methods to enhance sensor repeatability. Collaborative work extends to climate technology initiatives and industrial partnerships. Scientific Awards : TEK Research Dissemination prize (2025), Villum Grant (2024), TEK Innovation Prize (2021) Media Highlights : Featured in 2025 press coverage for electronic noses predicting meat shelf life and combating food waste. She supervises PhD candidates Albert Ashong (2025-2028), Mats Jacobsen (2024-2027), and has mentored postdocs and guest researchers since 2020.

Krishna Teja Chitty-Venkataمشاهده پروفایل

پژوهشگر

• Deep Learning
• Systems and Machine Learning
• Neural Network Optimization
• +۷ مورد دیگر

Krishna Teja Chitty-Venkata is a Postdoctoral Researcher at the Argonne Leadership Computing Facility (ALCF), Argonne National Laboratory, USA, where he works in the AI/ML team (formerly Data Science group). His research lies at the intersection of systems and machine learning, focusing on optimizing neural network training, finetuning, and inference on general-purpose and AI-specific hardware platforms. He is actively involved in AI for science applications and high-performance computing for AI (HPC for AI). Education: PhD in Computer Engineering, Iowa State University, 2017–2023 Bachelor of Engineering in Electronics and Communication Engineering, University College of Engineering, Osmania University, Hyderabad, India, 2013–2017 Research Interests: Krishna's research spans hardware-aware inference optimization of deep neural networks, enhancing training and finetuning of large language models (LLMs) and vision-language models (VLMs), neural architecture search (AutoML), pruning and quantization techniques, performance modeling, and AI for science. He is particularly interested in efficient adaptation methods such as LoRA-NAS integration, structured pruning (e.g., WActiGrad), and KV cache optimization (e.g., Paged Compression). Publication Trends: His recent work emphasizes benchmarking and optimization of LLMs on diverse AI accelerators (e.g., LLM-Inference-Bench), developing scalable frameworks for CNN and ViT evaluation (ConVision Benchmark), and advancing structured pruning and mixed-precision search methods. His publications span high-impact journals and conferences in computer science, AI, and systems, reflecting a strong focus on practical, hardware-aware solutions for deep learning efficiency. Scientific Contributions: Developed LLM-Inference-Bench for evaluating LLM performance across hardware and frameworks. Created ConVision Benchmark for standardized evaluation of CNNs and Vision Transformers. Proposed WActiGrad, a structured pruning method for efficient LLM finetuning and inference. Introduced Paged Compression for efficient KV cache management in vLLM. Designed LangVision-LoRA-NAS for optimizing VLMs via NAS-integrated adapters. Professional Experience and Advising: Krishna has been mentored by Prof. Arun K. Somani (Iowa State) and supervisors Murali Emani and Venkatram Vishwanath at Argonne. He has interned at AMD, Intel, and Argonne, contributing to deep learning optimization projects. While no formal students are listed, he has co-authored multiple papers with researchers and students, indicating collaborative advising. He has no publicly listed grants, but his work at Argonne is likely supported by institutional and DOE funding. Labs and Teams: He is part of the AI/ML team within the Argonne Leadership Computing Facility, a premier HPC and AI research division. His work involves close collaboration with teams developing AI accelerators and scientific applications, positioning him at the forefront of AI for science initiatives.

Masaki Takahashiمشاهده پروفایل

پژوهشگر

• Power Electronics Packaging
• Wide-Bandgap Power Devices
• Thermo-Mechanical Reliability
• +۳ مورد دیگر

Masaki Takahashi is a postdoctoral researcher at AAU Energy, Aalborg University, Denmark, within the Faculty of Engineering and Science and the Department of Power Electronics System Integration and Materials. His work focuses on wide-bandgap power devices, power electronics packaging, and reliability engineering, particularly in thermo-mechanical simulations and failure analysis of power modules. Education: B.Sc. (2014) and M.Sc. (2016) from Kwansei Gakuin University, Japan; Ph.D. (2024) in Energy Technology from Aalborg University. Research Interests: Thermal stress analysis of SiC and GaN devices Thermo-mechanical reliability of power modules Failure mechanism prediction 3D simulation techniques for reliability design Key Projects: CoDE Center of Digitalized Electronics (2021–2026) PhD Project: Reliability Design of 10kV SiC MOSFET Modules (2021–2024) Awards: Recipient of the APEC 2023 Outstanding Poster Award for work on thermal stress analysis. Collaborations: Active in international projects, with visiting research at Kyushu Institute of Technology (Oct-Dec 2023).

• 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.

• Supply Chain Management
• Operations Management
• Sustainable Supply Chains
• +۹ مورد دیگر

Kuntal Bhattacharyya is an Associate Professor in the Department of Marketing and Operations at the Scott College of Business, Indiana State University. He has held significant administrative roles including Department Chairperson (2018–2021) and currently serves as Executive Director (2021–present). He also directs the Center for Supply Management Research (CSMR), fostering industry-academia collaboration. Education: Ph.D., Operations Management (Information Systems Minor), Kent State University, 2011 M.B.A., Management (Minor in Applied Statistics), The University of Akron, 2005 M.S., Electrical Engineering (Semiconductor Fabrication), The University of Texas at Arlington, 2003 B.S., Electrical & Electronics Engineering, BIET, 2000 His research spans Supply Chain Management , Sustainable Supply Chains , Supply Chain Risk Management , and Global Sourcing . He integrates quantitative modeling, blockchain, and Six Sigma methodologies to solve real-world operational challenges. His expertise is reflected in courses such as Global Sourcing (OSCM 455/555), Strategic Supply Chain Decisions (PMBA 612), and the capstone Global Supply Chain Management (OSCM 490). The 15 most recent publications reveal a strong focus on supplier performance modeling , blockchain in supply chains , conflict mineral tracking , and resilience through technology . These works span disciplines including operations research, sustainability, service quality, and humanitarian logistics, demonstrating interdisciplinary depth and practical relevance. Scientific Awards and Honors: Career Readiness Advocate (2020) Dean's Achievement Award (2018) Best Paper Award, Academy of Business Review (2016) Teaching Excellence Award (2015) Outstanding Academic Advisor Award (2017) Summer Research Grants and multiple internal funding awards Dr. Bhattacharyya has secured numerous grants from Indiana State University and external foundations like the Wabash Valley Community Foundation, supporting student research and center development. He actively mentors students through research projects and capstone courses. He has served on key university committees related to strategic planning, diversity, faculty governance, and community engagement. His consulting experience with firms like Toyota Material Handling and Masterbrand Cabinets further strengthens his applied perspective. He leads the Center for Supply Management Research (CSMR) , which serves as a hub for supply chain innovation, student experiential learning, and industry partnerships. The center has received continuous internal funding, reflecting its institutional importance.

• MEMS (Micro-Electro-Mechanical Systems)
• Biosensors
• Biomedical Instrumentation
• +۸ مورد دیگر

Yiğit Dağhan Gökdel is an Associate Professor in the Department of Electrical and Electronics Engineering at Istanbul Bilgi University, Faculty of Engineering and Natural Sciences. He serves as the Chair of the department and advisor to the Rector. His work bridges engineering, biomedical instrumentation, and microsystems, with a strong focus on MEMS, biosensors, and optical devices. He leads the Microsystems Research Group and the Biosensors Research Group, and has coordinated numerous funded research projects from TÜBİTAK and institutional grants. Education: Postdoctoral Research Associate, Biomedical Engineering, University of Texas at Austin, 2012 PhD, Electrical and Electronics Engineering, Bogazici University, 2011 MS, Electrical and Electronics Engineering, Bogazici University, 2007 BS, Electrical and Electronics Engineering, Bilkent University, 2004 His research centers on the design, fabrication, and application of MEMS-based sensors and systems for biomedical and industrial use. Key areas include disposable biosensors for toxin detection, soft robotics sensors, laser scanning confocal microscopy, and structural health monitoring of wind turbines. His work integrates materials science, microfabrication, and system integration for real-world deployment. The 15 most recent publications highlight a consistent trend in developing miniaturized, low-cost, and often disposable MEMS devices for healthcare and environmental monitoring. Topics span piezoresistive sensors, 3D-printed scanners, optical imaging systems, and IoT-enabled monitoring, reflecting a multidisciplinary approach combining electrical engineering, materials, and biomedical applications. Scientific Awards: BAP, Bogazici University Best Dissertation Award, Jun. 2011 He has successfully led multiple research grants, including TÜBİTAK projects on smart home platforms, paper-based biosensors, and biopsy catheters for early cancer detection. He has advised over 18 graduate students, including one PhD and numerous Master’s theses. His leadership extends to editorial roles, program coordination, and institutional governance. Dr. Gökdel leads two active research groups: the Microsystems Research Group and the Biosensors Research Group. These teams focus on developing innovative MEMS solutions for medical diagnostics, industrial monitoring, and robotics, often leveraging 3D printing and low-cost fabrication techniques.