جست‌وجوی استاد و پژوهشگر

Mequanint Mogesمشاهده پروفایل

استاد

• Wireless Sensor Networks
• Computer and Communication Systems Optimization
• Parallel and Distributed Systems
• +۳ مورد دیگر

Mequanint Moges is an Instructional Professor in the Department of Engineering Technology at the University of Houston (College of Technology), serving since 2005. He holds a Ph.D. in Electrical and Computer Engineering from Stony Brook University (2005), an M.S. in Electrical Engineering from UNSW Sydney (1997), and a B.S. in Electrical Engineering from the University of Addis Ababa (1991). Research Interests Focuses on optimizing wireless sensor networks, computer/communication systems performance, and job scheduling in parallel/distributed systems and computational grids. His work bridges theoretical frameworks with practical applications in networked systems. Awards & Recognition Recipient of multiple teaching excellence awards (UH 2014, CoT 2013/2008) and advisor to award-winning student teams in Cornell Cup USA (2012-2014). Notably advised the SEMG project (Distinguished Recognition, 2014) and Fire Analyzer Robot (FAR, 2013). Teaching & Leadership Teaches advanced courses in networks, embedded systems, and telecommunications. Courses include ELET 6302 (Advanced Wireless Networks), ELET 6318 (Data Network Analysis), and undergraduate core courses like Circuit Theory and Microprocessor Architecture.曾 served as Acting Head of Electrical Engineering at Asmara University (2001). Affiliations Active member of ASEE, IEEE, and the IEEE Aerospace & Electronics Systems Society.

Brian Sierawskiمشاهده پروفایل

استاد پژوهشی

• Radiation Effects on Microelectronics
• Space Systems Engineering
• Simulation Software Development
• +۳ مورد دیگر

Brian Sierawski is a Research Associate Professor in the Department of Electrical and Computer Engineering at Vanderbilt University's School of Engineering, serving as Associate Director. His research focuses on radiation effects on microelectronics, simulation software development, small satellites, and on-orbit experiments. He also teaches courses on microcontrollers, FPGAs, and spacecraft systems. Education: Ph.D. in Electrical Engineering (Vanderbilt University), M.S.E. in Computer Science and Engineering (University of Michigan), B.S.E. in Computer Engineering (University of Michigan). Research interests emphasize radiation-hardened electronics, space system reliability, and radiation modeling tools like the SIRE2 toolkit. His work bridges academic research with practical applications in satellite design and radiation assurance. Awards: Received the Outstanding Conference Paper Award at the 2024 IEEE Nuclear and Space Radiation Effects Conference and the 2014 equivalent. These recognize contributions to understanding radiation effects in advanced electronics. Advising and grants: Leads initiatives like the RadFxSat mission, focusing on radiation effects in space. His team develops methodologies for radiation hardness assurance in commercial-off-the-shelf (COTS) components, enhancing mission reliability for small satellites. Labs/Teams: Collaborates on projects involving CubeSats, radiation climatology, and Bayesian modeling for component degradation. His work integrates computational tools with experimental validation for real-world space applications.

Gary Spiveyمشاهده پروفایل

استاد

• Microprocessors
• Embedded Systems
• Rapid Prototyping
• +۲ مورد دیگر

Professor Gary Spivey is an academic at the College of Engineering, George Fox University, specializing in Electrical Engineering. His career spans roles in both academia and industry, focusing on computer architecture and digital design. Bachelor of Science in Electrical Engineering, University of Arizona (1988) Master of Science, University of Maryland at College Park (1997) Doctor of Philosophy, University of Maryland at College Park (2002) His research interests center on microprocessors and embedded systems , particularly their applications in rapid prototyping . His work bridges theoretical computer engineering and practical hardware development, emphasizing efficient design methodologies.

William T. Baumannمشاهده پروفایل

دانشیار

• Computational Biology
• Biomedical Applications
• Control Systems
• +۳ مورد دیگر

William T. Baumann is an Associate Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. He holds a Ph.D. from Johns Hopkins University (1985), an M.S.E.E. from MIT (1980), and a B.S.E.E. from Lehigh University (1978). His research focuses on computational biology, biomedical applications, and control systems, particularly in modeling biological systems dynamics such as breast cancer cell resistance mechanisms and stochastic processes in yeast cell cycles. He has pioneered work on integrating control theory with biological systems to predict therapeutic outcomes and optimize treatment strategies. His teaching interests include control system design, microprocessor systems, and system identification. Research interests span dynamic modeling of cancer cell behavior, endocrine therapy resistance, and multiscale modeling of cellular processes. Recent projects involve predicting breast cancer proliferation dynamics and analyzing the unfolded protein response in cancer cells. He has also contributed to systems biology frameworks for understanding cell cycle regulation and autophagy-inflammation interactions in ER+ breast cancer. His articles emphasize computational modeling in oncology and control systems security, including frameworks for distributed simulation load balancing and secure industrial control architectures. While no specific awards are listed, his work demonstrates significant contributions to interdisciplinary research at the intersection of engineering and biology. Advising and grant activities are not explicitly detailed here, though his extensive publication record suggests active research supervision and collaborative grant efforts. His lab focuses on applying engineering principles to biomedical challenges, with potential collaborations in cancer research and computational systems biology.

Jude Pearseمشاهده پروفایل

استاد

• Electrical Engineering
• Digital Systems
• Microprocessor Applications
• +۳ مورد دیگر

Jude Pearse is a Professor of Electrical Engineering Technology at the University of Maine, where she has been since 2001. Her teaching focuses on digital systems and microprocessor applications. She holds a B.S. (1986) and M.S. (1994) in Electrical Engineering from the University of Maine. Prior to academia, Pearse accumulated over a decade of industrial experience at firms like Bath Iron Works and her private corporation, Robash Unlimited. She is a registered professional engineer in Maine. Her expertise bridges academic instruction and practical engineering, with a background in both academic and corporate environments. Contact: jpearse@maine.edu , 5708 Barrows Hall, Room 7.

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.

Rohit Duaمشاهده پروفایل

دانشیار

• Smart Embedded Sensing Systems
• Artificial Neural Networks
• Optoelectronic Sensors
• +۳ مورد دیگر

Dr. Rohit Dua is an Associate Teaching Professor at Missouri University of Science and Technology (Missouri S&T), where he teaches in the Cooperative Engineering Program with Missouri State University. He holds a PhD and MS in Electrical Engineering from Missouri S&T and a BE in Electronics & Telecommunications from the University of Pune, India. Previously, he served as an Assistant Professor at New York Institute of Technology. His office is located at Missouri State University’s Springfield campus. Research Focus: Dr. Dua specializes in Smart Embedded Sensing Systems, Artificial Neural Networks, Optoelectronic Sensors, and their applications in biomedical/energy engineering. He actively integrates engineering education innovation into his research, developing experiential learning tools for K-12 and undergraduate students. Awards & Honors: 2023 ASEE Midwest Section Outstanding Service Award 2015 ASEE Zone III Conference: 1st Place Student Poster 2014 Missouri S&T Experiential Learning Award 2014 ASEE Midwest Section: 3rd Place Undergraduate Poster 2007 NYIT Faculty Scholars Award Educational Initiatives: He leads experiential projects including the Embedded Systems Club, FPGA-based synthesizers, K-12 logic laboratories, and microprocessor design tools. He received grants for student projects (e.g., OURE grants) and developed courses like Fun With Electronics . He frequently chairs ASEE Midwest Conference programs.

Ece Yaprakمشاهده پروفایل

استاد

• Computer Networks
• Wireless Communications
• Wireless Sensor Networks
• +۴ مورد دیگر

Dr. Ece Yaprak is a Professor and Chair of the Engineering Technology Division in the College of Engineering at Wayne State University. She earned her BS in Electrical Engineering from the University of Michigan–Dearborn (1980) and MS/PhD in Computer Engineering from Wayne State University (1984/1989). With industry experience at General Electric and Ford Motor Company, her research spans computer networks , wireless communications , and wireless sensor networks , funded by NSF , DOE , NASA , and the U.S. Navy. Research Fellowships : NASA (Glenn, JPL, Ames, Johnson Space Center), Fulbright-Nokia (Finland), U.S. Navy SPAWAR. Leadership Roles : ABET Board of Directors (2023–2026), NSF Program Director (2015–2017). Awards : IEEE Fellow (2025), multiple Excellence in Teaching Awards (2005–2014). Her recent publications focus on wireless network security , telemedicine systems , and engineering education innovations. She co-developed multi-institutional projects with Old Dominion University and NASA, and continues teaching Senior Design Project courses.

Esther Ososanyaمشاهده پروفایل

استاد

• Embedded Systems Design
• VLSI ASIC Applications
• Unmanned Aerial Vehicles
• +۶ مورد دیگر

Dr. Esther Ososanya is a Professor in the Department of Electrical and Computer Engineering at the University of the District of Columbia (UDC), affiliated with the School of Engineering and Applied Sciences. She holds a PhD in Electrical Engineering from Bradford University (UK) and has held academic roles since 1985, including visiting professorships and postdoctoral fellowships in the UK and US. Her research focuses on embedded systems, VLSI ASIC design, robotics, and energy systems, with recent work on AI-driven solutions for pandemic modeling and vaccine hesitancy analysis. Dr. Ososanya has secured grants from NSF and DoD for projects in smart grid systems and autonomous vehicle technology. Education: PhD in Electrical Engineering (Microprocessors Systems), Bradford University, UK MSc in Electrical Engineering (Integrated Circuits Design), Southampton University, UK BSc in Physics, University of Aston, Birmingham, UK Research Interests: Dr. Ososanya’s work spans innovative co-design of hetero-integrated microsystems, embedded systems for UAVs and robotics, and applications of machine learning in healthcare. Her recent projects include developing ML-based ECG techniques for pandemic prediction and analyzing vaccine hesitancy through social media data. She collaborates with institutions like the NSF and DoD to advance smart grid and autonomous vehicle technologies. Grants & Collaborations: NSF Grant (2020): VAPOC – Visualization/Analysis/Prediction of COVID-19 DoD Grant (2019): Acquisition of Advanced Robotics & Autonomous Vehicle Technology Labs/Teams: Her research integrates interdisciplinary teams focusing on robotics, energy systems, and AI applications. She actively participates in K-12 outreach programs to promote STEM education.

Madhava Vemuriمشاهده پروفایل

استادیار

• Monolithic Integration
• Beyond Moore Technologies
• On-chip Power Delivery
• +۷ مورد دیگر

Dr. Madhava Vemuri serves as an Assistant Professor in the Engineering and Mathematics Division at the University of Washington Bothell's School of Science, Technology, Engineering & Mathematics (STEM). His research bridges electrical engineering, computer science, and sustainable technology applications, with office location UW2-329. Dr. Vemuri holds a Ph.D. in Electrical and Computer Engineering from North Dakota State University (2024) and a Master of Engineering in Electrical Engineering from the University of Cincinnati (2019). Educational background: Ph.D. in Electrical and Computer Engineering, North Dakota State University, Fargo, ND (2024) M.E. in Electrical Engineering, University of Cincinnati, Cincinnati, OH (2019) Research focuses on optimizing transistor performance at device and circuit levels to enhance processor speed and reduce power leakage through Monolithic Integration, Beyond Moore Technologies, and On-chip Power Delivery frameworks. His work extends to Edge Computing applications and Artificial Intelligence for IC design, with significant collaborations including USDA-funded development of ML-based object detection systems for precision agriculture targeting weed reduction. This research aims to create eco-friendly agricultural solutions by minimizing herbicide usage through targeted weeding techniques. Professional experience includes Data Science Internships at APTIV Troy MI's Advanced Safety and User Experience segment (2020-2021), contributions to AI projects for biomedical departments, and current teaching of graduate/undergraduate courses including EE 528: Computer Organization, EE 425: Microprocessor System Design, and EE 525: Embedded System Design. His industry-academia partnerships demonstrate strong translational research capabilities across biomedical, agricultural, and automotive safety domains.

John J. Helfertyمشاهده پروفایل

دانشیار

• Space Engineering
• Robotics
• Autonomous Systems
• +۷ مورد دیگر

John J. Helferty is an Associate Professor in the Department of Electrical and Computer Engineering at Temple University's College of Engineering. He is actively involved in teaching and research, with a strong focus on applied engineering systems in aerospace and robotics. His research interests include Rocketry, Space Engineering, Remote Controlled Quad Copters, Near-Space Payloads, Lunar Mining Robots, High-Altitude Ballooning, Autonomous Mobile Robots, and Rotorcraft . These areas reflect a commitment to hands-on, project-based learning and innovation in extreme environment robotics and embedded systems. The trends in his technical focus suggest interdisciplinary work at the intersection of electrical engineering, control systems, and aerospace applications, particularly in autonomous and remote-operated vehicles for space and near-space environments. Scientific Awards: No awards listed in the provided text. Dr. Helferty teaches several core undergraduate courses including ECE 2112: Electrical Devices & Systems I , ECE 3612: Processor Systems , ECE 3614: Printed Circuit Board Design , and honors sections in microprocessor systems. His academic advising likely includes undergraduate researchers and senior design projects, though specific students are not listed. There is no mention of external grants, but his research areas suggest potential involvement in NASA-related or defense-funded projects. While not explicitly stated, his research profile implies leadership in student engineering teams or laboratories focused on rocketry, robotics, or high-altitude experimentation.

Samuel Russمشاهده پروفایل

دانشیار

• Embedded systems
• Consumer electronics
• Signal integrity
• +۱ مورد دیگر

Samuel Russ is an Associate Professor in the Department of Electrical and Computer Engineering at the College of Engineering, University of South Alabama. His research focuses on embedded systems, consumer electronics, signal integrity, and electronics manufacturing systems. He holds a Ph.D. and B.S. in Electrical Engineering from Georgia Institute of Technology. Ph.D. Electrical Engineering, Georgia Institute of Technology, 1991 B.S. Electrical Engineering, Georgia Institute of Technology, 1986 Russ specializes in signal integrity, embedded systems, and consumer electronics. His work addresses practical challenges in electronics manufacturing, smart grid integration, and hardware optimization. Recent publications highlight collaborations in smart grid applications, wear leveling algorithms for solid-state drives, and wireless motion detection systems. His publications demonstrate expertise in signal integrity, embedded systems, and consumer electronics. He has explored solid-state disk optimization, home health monitoring architectures, and immersive simulation algorithms. Collaborations span healthcare, power systems, and digital storage technologies. No scientific awards listed. He teaches courses such as EE 263 Digital Logic Design, EE 368 Microprocessor Lab, EE 457/557 Embedded System Design, and EE 469/569 Signal Integrity.

William Harbourمشاهده پروفایل

استادیار

• Engineering Education
• Embedded Systems
• Control Systems
• +۷ مورد دیگر

William Harbour is an Assistant Professor and Chair of the Department of Engineering Education at Houston Christian University's College of Science and Engineering. With a PhD in Engineering from the University of Arkansas and dual bachelor's/master's degrees in Electrical Engineering from the University of Oklahoma, he specializes in integrating advanced technical concepts like embedded systems and fuzzy logic control into undergraduate curricula. Education: PhD in Engineering (University of Arkansas), MS in Electrical Engineering (University of Oklahoma), BS in Electrical Engineering (University of Oklahoma) His teaching focuses on engineering problem-solving, circuits, and embedded systems development. Research interests include: Internet of Things (IoT) integration in freshman courses Robotics platform migration between course levels Microprocessor-based control system projects Recent publications examine curriculum continuity across academic levels and IoT implementation in foundational engineering courses. Key contributions include the GK12 Fellowship Program award. Professional affiliations: IEEE, ASEE. Contact: Office Phone - 281-649-3025 | Office Location - Atwood II 108

Naveen Vermaمشاهده پروفایل

دانشیار

• Advanced Sensing Systems
• Machine Learning
• Statistical Signal Processing
• +۳ مورد دیگر

Naveen Verma is an Associate Professor at Princeton University's Department of Electrical Engineering, specializing in advanced sensing systems. His research bridges algorithm development with novel sensing and computing technologies. Education: B.A.Sc. from UBC (2003), M.S./Ph.D. from MIT (2005/2009) Key Focus: Large-area flexible sensors, energy-efficient architectures, machine-learning algorithms His work explores how systems for learning and inference can be enhanced through new hardware paradigms, particularly in thin-film electronics and analog computing. Recent publications highlight applications in imaging systems, biomedical sensors, and error-resilient machine learning. His research outputs include: Embedded thin-film classifiers for image sensing Compressive-sensing circuits using flexible electronics Error-adaptive boosting algorithms for hardware resilience Energy-scalable processor designs Scientific awards received: NSF CAREER Award (2013) AFOSR Young Investigator Award (2014) IEEE Best Paper Awards Teaching excellence awards Industry recognition from Intel and IEEE societies

Krista Hillمشاهده پروفایل

دانشیار

• Embedded Microprocessor Applications
• Field Programmable Gate Array
• Reconfigurable Hardware Applications
• +۱ مورد دیگر

Krista Hill is an Associate Professor in the Electrical and Computer Engineering department at the University of Hartford's College of Engineering, Technology, and Architecture. Her research focuses on embedded microprocessor applications, field-programmable gate arrays, and reconfigurable hardware applications, particularly in the context of biomedical engineering applications.